diff --git a/algo.ipynb b/algo.ipynb
index 9c2d0cd..17d59d3 100644
--- a/algo.ipynb
+++ b/algo.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 4,
"id": "d1eed397",
"metadata": {},
"outputs": [],
@@ -11,6 +11,7 @@
"import json\n",
"from dataclasses import dataclass, asdict\n",
"import valkey\n",
+ "import modules.utils as utils\n",
"\n",
"with open('algo_config.json', 'r', encoding='utf-8') as file:\n",
" ALGO_CONFIG = json.load(file)\n",
@@ -19,7 +20,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 5,
"id": "c6151613",
"metadata": {},
"outputs": [],
@@ -29,7 +30,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 38,
"id": "d83c61e5",
"metadata": {},
"outputs": [
@@ -39,30 +40,31 @@
"1"
]
},
- "execution_count": 4,
+ "execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"config_update = {\n",
- " # 'Config': {\n",
- " # 'Loop_Sleep_Sec': 0.00,\n",
- " # 'Min_Time_To_Funding_Minutes': 60,\n",
- " # 'Min_Fund_Rate_Pct_To_Trade': 0.001,\n",
- " # 'Price_Worsener_Extend': 0.0,\n",
- " # 'Price_Worsener_Aster': 0.0,\n",
- " # 'Switch_To_Taker_Seconds': 1,\n",
- " # },\n",
+ " 'Config': {\n",
+ " # 'Loop_Sleep_Sec': 0.00,\n",
+ " # 'Min_Time_To_Funding_Minutes': 60,\n",
+ " # 'Min_Fund_Rate_Pct_To_Trade': 0.0002,\n",
+ " # 'Price_Worsener_Extend': 0.0,\n",
+ " # 'Price_Worsener_Aster': 0.0,\n",
+ " # 'Switch_To_Taker_Seconds': 1,\n",
+ " },\n",
" 'Logging': {\n",
- " 'Log_Summary_Each_Loop': False,\n",
- " 'Print_Summary_Each_Loop': True,\n",
+ " # 'Log_Summary_Each_Loop': False,\n",
+ " 'Print_Summary_Each_Loop': False,\n",
" },\n",
" # 'Overrides': {\n",
- " # 'Allow_Ordering_Aster': True,\n",
- " # 'Allow_Ordering_Extend': True,\n",
- " # 'Flip_Side_For_Testing': False,\n",
- " # 'Flatten_Open_Positions': False,\n",
+ " # # 'Allow_Ordering_Aster': True,\n",
+ " # # 'Allow_Ordering_Extend': True,\n",
+ " # # 'Allow_Symbol_Change': False,\n",
+ " # # 'Flip_Side_For_Testing': False,\n",
+ " # # 'Flatten_Open_Positions': False,\n",
" # },\n",
"}\n",
"VAL_KEY.publish('fr_orchestrator_input', json.dumps(config_update))"
@@ -70,29 +72,30 @@
},
{
"cell_type": "code",
- "execution_count": 93,
- "id": "45fae761",
+ "execution_count": 52,
+ "id": "f5260342",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "5.0"
+ "1"
]
},
- "execution_count": 93,
+ "execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "json.loads(VAL_KEY.get('fr_orchestrator_output'), object_hook=lambda d: structs.Algo_Config(**d)).Loop_Sleep_Sec"
+ "order = {'order_id':'test_1'}\n",
+ "VAL_KEY.publish('fr_engine_orders_input', json.dumps(order))"
]
},
{
"cell_type": "code",
"execution_count": null,
- "id": "98c500cc",
+ "id": "940586bb",
"metadata": {},
"outputs": [],
"source": []
@@ -100,7 +103,15 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "f2cf3325",
+ "id": "cd600e0e",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "db52edf9",
"metadata": {},
"outputs": [],
"source": []
@@ -112,92 +123,6 @@
"outputs": [],
"source": []
},
- {
- "cell_type": "code",
- "execution_count": 31,
- "id": "a0df43de",
- "metadata": {},
- "outputs": [],
- "source": [
- "pos = json.loads(VAL_KEY.get('fr_aster_user_positions'))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 32,
- "id": "ca526c8a",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "[{'timestamp_arrival': 1777303258987,\n",
- " 'timestamp_msg': 1777303258979,\n",
- " 'timestamp_transaction': 1777303258950,\n",
- " 'event_reason_type': 'ORDER',\n",
- " 'symbol': 'ETHUSDT',\n",
- " 'position_amount': 0.226,\n",
- " 'entry_price': 2284.28,\n",
- " 'accumulated_realized_pre_fees': 8.24392002,\n",
- " 'unrealized_pnl': 0.0,\n",
- " 'margin_type': 'cross',\n",
- " 'isolated_wallet': 0.0,\n",
- " 'position_side': 'BOTH'}]"
- ]
- },
- "execution_count": 32,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "pos"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 33,
- "id": "f788b6df",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Timestamp('2026-04-27 15:20:58.987000')"
- ]
- },
- "execution_count": 33,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "import pandas as pd\n",
- "pd.to_datetime(1777303258987, unit='ms')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 34,
- "id": "855f980b",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Timestamp('2026-04-27 15:20:58.979000')"
- ]
- },
- "execution_count": 34,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "import pandas as pd\n",
- "pd.to_datetime(1777303258979, unit='ms')"
- ]
- },
{
"cell_type": "code",
"execution_count": 35,
@@ -219,6 +144,118 @@
"pd.to_datetime(1777303258950, unit='ms')"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "id": "5f7535df",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'{\"ASTER\": {\"mult\": 150, \"lh_asset\": \"ETH\", \"rh_asset\": \"USD\", \"symbol_asset_separator\": \"\"}, \"EXTEND\": {\"mult\": 50, \"lh_asset\": \"ETH\", \"rh_asset\": \"USD\", \"symbol_asset_separator\": \"-\"}}'"
+ ]
+ },
+ "execution_count": 57,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "VAL_KEY.get('fr_algo_working_symbol')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "id": "3acaa8cd",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ASTER = structs.Perpetual_Exchange(\n",
+ " mult = 150,\n",
+ " lh_asset = 'ETH',\n",
+ " rh_asset = 'USD',\n",
+ " symbol_asset_separator = '',\n",
+ ")\n",
+ "EXTEND = structs.Perpetual_Exchange(\n",
+ " mult = 50,\n",
+ " lh_asset = 'ETH',\n",
+ " rh_asset = 'USD',\n",
+ " symbol_asset_separator = '-',\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "id": "b417adad",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "best_symbol_by_exchange: dict = json.loads(s=VAL_KEY.get(name='fr_algo_working_symbol')) # ty:ignore[invalid-argument-type]\n",
+ "best_symbol_by_exchange_aster = structs.Perpetual_Exchange(**asdict(ASTER))\n",
+ "best_symbol_by_exchange_extend = structs.Perpetual_Exchange(**asdict(EXTEND))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "id": "fa5a8e85",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Perpetual_Exchange(mult=50, lh_asset='ETH', rh_asset='USD', symbol_asset_separator='-')"
+ ]
+ },
+ "execution_count": 53,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "best_symbol_by_exchange_extend"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "id": "fb81441a",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 54,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "\n",
+ "VAL_KEY.set('fr_algo_working_symbol', json.dumps({'ASTER': asdict(best_symbol_by_exchange_aster), 'EXTEND': asdict(best_symbol_by_exchange_extend)}))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "09571e38",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
{
"cell_type": "code",
"execution_count": null,
diff --git a/algo_config.json b/algo_config.json
index 874d047..aac8e6c 100644
--- a/algo_config.json
+++ b/algo_config.json
@@ -1,5 +1,5 @@
{
- "Updated_Timestamp": 1777478176165,
+ "Updated_Timestamp": 1777496051056,
"Config": {
"Loop_Sleep_Sec": 0.0,
"Max_Order_Over_Notional_Ratio": 1.05,
@@ -13,11 +13,12 @@
},
"Logging": {
"Log_Summary_Each_Loop": false,
- "Print_Summary_Each_Loop": true
+ "Print_Summary_Each_Loop": false
},
"Overrides": {
"Allow_Ordering_Aster": true,
"Allow_Ordering_Extend": true,
+ "Allow_Symbol_Change": false,
"Flatten_Open_Positions": false,
"Flip_Side_For_Testing": false
}
diff --git a/algo_orchestrator.py b/algo_orchestrator.py
index 6de9cd6..834d882 100644
--- a/algo_orchestrator.py
+++ b/algo_orchestrator.py
@@ -4,11 +4,10 @@ import logging
import os
import traceback
from datetime import datetime
-from typing import AsyncContextManager
import valkey
from dotenv import load_dotenv
-# from sqlalchemy.ext.asyncio import create_async_engine
+import modules.utils as utils
'''
TO DO:
@@ -16,75 +15,62 @@ TO DO:
'''
### Database ###
-CON: AsyncContextManager | None = None
-VAL_KEY = None
-VK_IN = 'fr_orchestrator_input'
-VK_OUT = 'fr_orchestrator_output'
+VK_IN: str = 'fr_orchestrator_input'
+VK_OUT: str = 'fr_orchestrator_output'
+
+# CONFIG_FILEPATH: str = '/algo_local_drive/algo_config.json'
+CONFIG_FILEPATH: str = 'algo_config.json'
### Logging ###
load_dotenv()
-LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Algo_Orchestrator.log'
+LOG_FILEPATH: str = f'{os.getenv("LOGS_PATH")}/Fund_Rate_Algo_Orchestrator.log'
-ALGO_CONFIG: None | dict
-
-async def orchestrator() -> None:
- global ALGO_CONFIG
+async def main() -> None:
+ VAL_KEY: valkey.Valkey = valkey.Valkey(host='localhost', port=6379, db=0, decode_responses=True)
try:
- VK_PUBSUB = VAL_KEY.pubsub()
+ VK_PUBSUB: valkey.client.PubSub = VAL_KEY.pubsub()
VK_PUBSUB.subscribe(VK_IN)
- logging.info(f"Subscribed to '{VK_IN}'. Waiting for messages...")
+ logging.info(msg=f"Subscribed to '{VK_IN}'. Waiting for messages...")
for message in VK_PUBSUB.listen():
if message['type'] == 'message':
- timestamp = round(datetime.now().timestamp()*1000)
- data = json.loads(message['data'])
- # channel = message['channel']
+ timestamp: int = round(number=datetime.now().timestamp()*1000)
- with open('/algo_local_drive/algo_config.json', 'r', encoding='utf-8') as f:
- # ALGO_CONFIG = json.load(f, object_hook=lambda d: Algo_Config(**d))
- ALGO_CONFIG = json.load(f)
- ALGO_CONFIG['Updated_Timestamp'] = timestamp
-
- for k, v in data.items():
- if ALGO_CONFIG.get(k, None) is not None:
- ALGO_CONFIG[k] = v
+ # Receive Update Msg from PubSub
+ data: dict = json.loads(s=message['data'])
- VAL_KEY.set(VK_OUT, json.dumps(ALGO_CONFIG))
- with open('/algo_local_drive/algo_config.json', 'w', encoding='utf-8') as f:
- json.dump(ALGO_CONFIG, f, indent=4)
- logging.info(f"Algo Config Updated @ {timestamp}; {data}")
+ # Load Config File
+ with open(file=CONFIG_FILEPATH, mode='r', encoding='utf-8') as f:
+ Algo_Config: dict = json.load(fp=f)
+ Algo_Config['Updated_Timestamp'] = timestamp
+
+
+ # Update Config w Update Data
+ Algo_Config: dict = utils.rec_set_dict(orig_dict=Algo_Config, new_dict=data)
+ # Set VK KV w Updated Config
+ VAL_KEY.set(name=VK_OUT, value=json.dumps(obj=Algo_Config))
+
+ # Save Updated Config to File
+ with open(file=CONFIG_FILEPATH, mode='w', encoding='utf-8') as f:
+ json.dump(obj=Algo_Config, fp=f, indent=4)
+
+ logging.info(msg=f"Algo Config Updated @ {timestamp}; {data}")
except valkey.exceptions.ConnectionError as e:
- logging.info(f"Could not connect to Valkey. Please check the publish server is up; {e}")
+ logging.info(msg=f"Could not connect to Valkey. Please check the publish server is up; {e}")
except KeyboardInterrupt:
- logging.info('ORCHESTRATOR SHUTTING DOWN...')
+ logging.info(msg='ORCHESTRATOR SHUTTING DOWN...')
except Exception as e:
- logging.error(traceback.format_exc())
- logging.critical(f'*** ORCHESTRATOR CRASHED: {e}')
+ logging.error(msg=traceback.format_exc())
+ logging.critical(msg=f'*** ORCHESTRATOR CRASHED: {e}')
-### MAIN STARTUP ###
-async def main() -> None:
- global VAL_KEY
- global CON
- global ALGO_CONFIG
-
- VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0, decode_responses=True)
- # engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
-
- with open('/algo_local_drive/algo_config.json', 'r', encoding='utf-8') as f:
- # ALGO_CONFIG = json.load(f, object_hook=lambda d: Algo_Config(**d))
- ALGO_CONFIG = json.load(f)
- ALGO_CONFIG['Updated_Timestamp'] = round(datetime.now().timestamp()*1000)
-
- # async with engine.connect() as CON:
- await orchestrator()
if __name__ == '__main__':
- START_TIME = round(datetime.now().timestamp()*1000)
+ START_TIME: int = round(number=datetime.now().timestamp()*1000)
- logging.info(f'Log FilePath: {LOG_FILEPATH}')
+ logging.info(msg=f'Log FilePath: {LOG_FILEPATH}')
logging.basicConfig(
force=True,
@@ -93,6 +79,6 @@ if __name__ == '__main__':
format='%(asctime)s - %(levelname)s - %(message)s',
filemode='w'
)
- logging.info(f"STARTED: {START_TIME}")
+ logging.info(msg=f"STARTED: {START_TIME}")
asyncio.run(main())
\ No newline at end of file
diff --git a/aster.ipynb b/aster.ipynb
index 61f8079..3cc28ba 100644
--- a/aster.ipynb
+++ b/aster.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 9,
"id": "3a269644",
"metadata": {},
"outputs": [],
@@ -12,7 +12,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 10,
"id": "4395fabb",
"metadata": {},
"outputs": [],
@@ -82,54 +82,26440 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 11,
"id": "2122885a",
"metadata": {},
"outputs": [],
"source": [
- "j = await aster_auth.post_authenticated_url(post_order)\n"
+ "j = await aster_auth.post_authenticated_url(fut_acct_exchangeInfo)\n"
]
},
{
"cell_type": "code",
- "execution_count": 6,
- "id": "e895ac52",
+ "execution_count": 13,
+ "id": "8e76f137",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "{'orderId': 17365320734,\n",
- " 'symbol': 'ETHUSDT',\n",
- " 'status': 'NEW',\n",
- " 'clientOrderId': 'RlTsi93X2Qe75bMt2vzC5v',\n",
- " 'price': '2300',\n",
- " 'avgPrice': '0.00000',\n",
- " 'origQty': '0.010',\n",
- " 'executedQty': '0',\n",
- " 'cumQty': '0',\n",
- " 'cumQuote': '0',\n",
- " 'timeInForce': 'GTX',\n",
- " 'type': 'LIMIT',\n",
- " 'reduceOnly': False,\n",
- " 'closePosition': False,\n",
- " 'side': 'BUY',\n",
- " 'positionSide': 'BOTH',\n",
- " 'stopPrice': '0',\n",
- " 'workingType': 'CONTRACT_PRICE',\n",
- " 'priceProtect': False,\n",
- " 'origType': 'LIMIT',\n",
- " 'updateTime': 1777411299750,\n",
- " 'newChainData': {'hash': '0x43deac455e5dc6c77576c7dd21b1c3d1d5d5d6745a30300ddef0a18fc41fa0a3'}}"
+ "dict"
]
},
- "execution_count": 6,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "j"
+ "type(j)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "501fd278",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[{'symbol': 'ASTERUSDT',\n",
+ " 'pair': 'ASTERUSDT',\n",
+ " 'contractType': 'PERPETUAL',\n",
+ " 'deliveryDate': 4133404800000,\n",
+ " 'onboardDate': 1758178800000,\n",
+ " 'status': 'TRADING',\n",
+ " 'maintMarginPercent': '12.5000',\n",
+ " 'requiredMarginPercent': '25.0000',\n",
+ " 'baseAsset': 'ASTER',\n",
+ " 'quoteAsset': 'USDT',\n",
+ " 'marginAsset': 'USDT',\n",
+ " 'pricePrecision': 5,\n",
+ " 'quantityPrecision': 2,\n",
+ " 'baseAssetPrecision': 8,\n",
+ " 'quotePrecision': 8,\n",
+ " 'underlyingType': 'COIN',\n",
+ " 'underlyingSubType': ['Top'],\n",
+ " 'symbolType': 0,\n",
+ " 'tradingMode': 0,\n",
+ " 'name': '',\n",
+ " 'channel': '{}',\n",
+ " 'sequenceNo': 100,\n",
+ " 'twapMinNotional': '1000',\n",
+ " 'imn': '4000.00',\n",
+ " 'tags': [],\n",
+ " 'settlePlan': 0,\n",
+ " 'triggerProtect': '0.1500',\n",
+ " 'liquidationFee': '0.025000',\n",
+ " 'marketTakeBound': '0.05',\n",
+ " 'createTime': 1758215451058,\n",
+ " 'filters': [{'minPrice': '0.00010',\n",
+ " 'maxPrice': '200',\n",
+ " 'filterType': 'PRICE_FILTER',\n",
+ " 'tickSize': '0.00010'},\n",
+ " {'stepSize': '0.01',\n",
+ " 'filterType': 'LOT_SIZE',\n",
+ " 'maxQty': '10000000',\n",
+ " 'minQty': '0.01'},\n",
+ " {'stepSize': '0.01',\n",
+ " 'filterType': 'MARKET_LOT_SIZE',\n",
+ " 'maxQty': '900000',\n",
+ " 'minQty': '0.01'},\n",
+ " {'limit': 200, 'filterType': 'MAX_NUM_ORDERS'},\n",
+ " {'limit': 10, 'filterType': 'MAX_NUM_ALGO_ORDERS'},\n",
+ " {'notional': '5', 'filterType': 'MIN_NOTIONAL'},\n",
+ " {'multiplierDown': '0.9500',\n",
+ " 'multiplierUp': '1.0500',\n",
+ " 'ltMultiplierDown': '0.9700',\n",
+ " 'multiplierDecimal': '4',\n",
+ " 'filterType': 'PERCENT_PRICE',\n",
+ " 'ltMultiplierUp': '1.0300'}],\n",
+ " 'orderTypes': ['LIMIT',\n",
+ " 'MARKET',\n",
+ " 'STOP',\n",
+ " 'STOP_MARKET',\n",
+ " 'TAKE_PROFIT',\n",
+ " 'TAKE_PROFIT_MARKET',\n",
+ " 'TRAILING_STOP_MARKET'],\n",
+ " 'timeInForce': ['GTC', 'IOC', 'FOK', 'GTX', 'HIDDEN']},\n",
+ " {'symbol': 'BTCUSDT',\n",
+ " 'pair': 'BTCUSDT',\n",
+ " 'contractType': 'PERPETUAL',\n",
+ " 'deliveryDate': 4133404800000,\n",
+ " 'onboardDate': 1627628400000,\n",
+ " 'status': 'TRADING',\n",
+ " 'maintMarginPercent': '2.5000',\n",
+ " 'requiredMarginPercent': '5.0000',\n",
+ " 'baseAsset': 'BTC',\n",
+ " 'quoteAsset': 'USDT',\n",
+ " 'marginAsset': 'USDT',\n",
+ " 'pricePrecision': 1,\n",
+ " 'quantityPrecision': 3,\n",
+ " 'baseAssetPrecision': 8,\n",
+ " 'quotePrecision': 8,\n",
+ " 'underlyingType': 'COIN',\n",
+ " 'underlyingSubType': ['Top'],\n",
+ " 'symbolType': 0,\n",
+ " 'tradingMode': 0,\n",
+ " 'name': '',\n",
+ " 'channel': '',\n",
+ " 'sequenceNo': 10,\n",
+ " 'twapMinNotional': '1000',\n",
+ " 'imn': '16000.00',\n",
+ " 'tags': [],\n",
+ " 'settlePlan': 0,\n",
+ " 'triggerProtect': '0.0200',\n",
+ " 'liquidationFee': '0.025000',\n",
+ " 'marketTakeBound': '0.02',\n",
+ " 'createTime': 1630045468108,\n",
+ " 'filters': [{'minPrice': '1',\n",
+ " 'maxPrice': '1000000',\n",
+ " 'filterType': 'PRICE_FILTER',\n",
+ " 'tickSize': '0.1'},\n",
+ " {'stepSize': '0.001',\n",
+ " 'filterType': 'LOT_SIZE',\n",
+ " 'maxQty': '1000',\n",
+ " 'minQty': '0.001'},\n",
+ " {'stepSize': '0.001',\n",
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+ " 'sequenceNo': 0,\n",
+ " 'twapMinNotional': '1000',\n",
+ " 'imn': '1000.00',\n",
+ " 'tags': [],\n",
+ " 'settlePlan': 0,\n",
+ " 'triggerProtect': '0.1000',\n",
+ " 'liquidationFee': '0.025000',\n",
+ " 'marketTakeBound': '0.10',\n",
+ " 'createTime': 1777279735359,\n",
+ " 'filters': [{'minPrice': '0.0000010',\n",
+ " 'maxPrice': '200',\n",
+ " 'filterType': 'PRICE_FILTER',\n",
+ " 'tickSize': '0.0000010'},\n",
+ " {'stepSize': '1',\n",
+ " 'filterType': 'LOT_SIZE',\n",
+ " 'maxQty': '3000000',\n",
+ " 'minQty': '1'},\n",
+ " {'stepSize': '1',\n",
+ " 'filterType': 'MARKET_LOT_SIZE',\n",
+ " 'maxQty': '300000',\n",
+ " 'minQty': '1'},\n",
+ " {'limit': 200, 'filterType': 'MAX_NUM_ORDERS'},\n",
+ " {'limit': 10, 'filterType': 'MAX_NUM_ALGO_ORDERS'},\n",
+ " {'notional': '5', 'filterType': 'MIN_NOTIONAL'},\n",
+ " {'multiplierDown': '0.9000',\n",
+ " 'multiplierUp': '1.1000',\n",
+ " 'ltMultiplierDown': '0.9000',\n",
+ " 'multiplierDecimal': '4',\n",
+ " 'filterType': 'PERCENT_PRICE',\n",
+ " 'ltMultiplierUp': '1.1000'}],\n",
+ " 'orderTypes': ['LIMIT',\n",
+ " 'MARKET',\n",
+ " 'STOP',\n",
+ " 'STOP_MARKET',\n",
+ " 'TAKE_PROFIT',\n",
+ " 'TAKE_PROFIT_MARKET',\n",
+ " 'TRAILING_STOP_MARKET'],\n",
+ " 'timeInForce': ['GTC', 'IOC', 'FOK', 'GTX', 'HIDDEN']},\n",
+ " {'symbol': 'LUMIAUSDT',\n",
+ " 'pair': 'LUMIAUSDT',\n",
+ " 'contractType': 'PERPETUAL',\n",
+ " 'deliveryDate': 4133404800000,\n",
+ " 'onboardDate': 1777334400000,\n",
+ " 'status': 'TRADING',\n",
+ " 'maintMarginPercent': '16.6600',\n",
+ " 'requiredMarginPercent': '33.3300',\n",
+ " 'baseAsset': 'LUMIA',\n",
+ " 'quoteAsset': 'USDT',\n",
+ " 'marginAsset': 'USDT',\n",
+ " 'pricePrecision': 7,\n",
+ " 'quantityPrecision': 1,\n",
+ " 'baseAssetPrecision': 8,\n",
+ " 'quotePrecision': 8,\n",
+ " 'underlyingType': 'COIN',\n",
+ " 'underlyingSubType': [],\n",
+ " 'symbolType': 0,\n",
+ " 'tradingMode': 0,\n",
+ " 'name': '',\n",
+ " 'channel': '{}',\n",
+ " 'sequenceNo': 0,\n",
+ " 'twapMinNotional': '1000',\n",
+ " 'imn': '1000.00',\n",
+ " 'tags': [],\n",
+ " 'settlePlan': 0,\n",
+ " 'triggerProtect': '0.1000',\n",
+ " 'liquidationFee': '0.025000',\n",
+ " 'marketTakeBound': '0.10',\n",
+ " 'createTime': 1777322050004,\n",
+ " 'filters': [{'minPrice': '0.0000100',\n",
+ " 'maxPrice': '2000',\n",
+ " 'filterType': 'PRICE_FILTER',\n",
+ " 'tickSize': '0.0000100'},\n",
+ " {'stepSize': '0.1',\n",
+ " 'filterType': 'LOT_SIZE',\n",
+ " 'maxQty': '50000',\n",
+ " 'minQty': '0.1'},\n",
+ " {'stepSize': '0.1',\n",
+ " 'filterType': 'MARKET_LOT_SIZE',\n",
+ " 'maxQty': '5000',\n",
+ " 'minQty': '0.1'},\n",
+ " {'limit': 200, 'filterType': 'MAX_NUM_ORDERS'},\n",
+ " {'limit': 10, 'filterType': 'MAX_NUM_ALGO_ORDERS'},\n",
+ " {'notional': '5', 'filterType': 'MIN_NOTIONAL'},\n",
+ " {'multiplierDown': '0.9000',\n",
+ " 'multiplierUp': '1.1000',\n",
+ " 'ltMultiplierDown': '0.9000',\n",
+ " 'multiplierDecimal': '4',\n",
+ " 'filterType': 'PERCENT_PRICE',\n",
+ " 'ltMultiplierUp': '1.1000'}],\n",
+ " 'orderTypes': ['LIMIT',\n",
+ " 'MARKET',\n",
+ " 'STOP',\n",
+ " 'STOP_MARKET',\n",
+ " 'TAKE_PROFIT',\n",
+ " 'TAKE_PROFIT_MARKET',\n",
+ " 'TRAILING_STOP_MARKET'],\n",
+ " 'timeInForce': ['GTC', 'IOC', 'FOK', 'GTX', 'HIDDEN']},\n",
+ " {'symbol': 'SYRUPUSDT',\n",
+ " 'pair': 'SYRUPUSDT',\n",
+ " 'contractType': 'PERPETUAL',\n",
+ " 'deliveryDate': 4133404800000,\n",
+ " 'onboardDate': 1777334400000,\n",
+ " 'status': 'TRADING',\n",
+ " 'maintMarginPercent': '16.6600',\n",
+ " 'requiredMarginPercent': '33.3300',\n",
+ " 'baseAsset': 'SYRUP',\n",
+ " 'quoteAsset': 'USDT',\n",
+ " 'marginAsset': 'USDT',\n",
+ " 'pricePrecision': 7,\n",
+ " 'quantityPrecision': 0,\n",
+ " 'baseAssetPrecision': 8,\n",
+ " 'quotePrecision': 8,\n",
+ " 'underlyingType': 'COIN',\n",
+ " 'underlyingSubType': [],\n",
+ " 'symbolType': 0,\n",
+ " 'tradingMode': 0,\n",
+ " 'name': '',\n",
+ " 'channel': '{}',\n",
+ " 'sequenceNo': 0,\n",
+ " 'twapMinNotional': '1000',\n",
+ " 'imn': '1000.00',\n",
+ " 'tags': [],\n",
+ " 'settlePlan': 0,\n",
+ " 'triggerProtect': '0.0200',\n",
+ " 'liquidationFee': '0.025000',\n",
+ " 'marketTakeBound': '0.02',\n",
+ " 'createTime': 1777322135314,\n",
+ " 'filters': [{'minPrice': '0.0000100',\n",
+ " 'maxPrice': '200',\n",
+ " 'filterType': 'PRICE_FILTER',\n",
+ " 'tickSize': '0.0000100'},\n",
+ " {'stepSize': '1',\n",
+ " 'filterType': 'LOT_SIZE',\n",
+ " 'maxQty': '40000',\n",
+ " 'minQty': '1'},\n",
+ " {'stepSize': '1',\n",
+ " 'filterType': 'MARKET_LOT_SIZE',\n",
+ " 'maxQty': '4000',\n",
+ " 'minQty': '1'},\n",
+ " {'limit': 200, 'filterType': 'MAX_NUM_ORDERS'},\n",
+ " {'limit': 10, 'filterType': 'MAX_NUM_ALGO_ORDERS'},\n",
+ " {'notional': '5', 'filterType': 'MIN_NOTIONAL'},\n",
+ " {'multiplierDown': '0.9800',\n",
+ " 'multiplierUp': '1.0200',\n",
+ " 'ltMultiplierDown': '0.9800',\n",
+ " 'multiplierDecimal': '4',\n",
+ " 'filterType': 'PERCENT_PRICE',\n",
+ " 'ltMultiplierUp': '1.0200'}],\n",
+ " 'orderTypes': ['LIMIT',\n",
+ " 'MARKET',\n",
+ " 'STOP',\n",
+ " 'STOP_MARKET',\n",
+ " 'TAKE_PROFIT',\n",
+ " 'TAKE_PROFIT_MARKET',\n",
+ " 'TRAILING_STOP_MARKET'],\n",
+ " 'timeInForce': ['GTC', 'IOC', 'FOK', 'GTX', 'HIDDEN']},\n",
+ " {'symbol': 'TAUSDT',\n",
+ " 'pair': 'TAUSDT',\n",
+ " 'contractType': 'PERPETUAL',\n",
+ " 'deliveryDate': 4133404800000,\n",
+ " 'onboardDate': 1777371300000,\n",
+ " 'status': 'TRADING',\n",
+ " 'maintMarginPercent': '16.6600',\n",
+ " 'requiredMarginPercent': '33.3300',\n",
+ " 'baseAsset': 'TA',\n",
+ " 'quoteAsset': 'USDT',\n",
+ " 'marginAsset': 'USDT',\n",
+ " 'pricePrecision': 7,\n",
+ " 'quantityPrecision': 0,\n",
+ " 'baseAssetPrecision': 8,\n",
+ " 'quotePrecision': 8,\n",
+ " 'underlyingType': 'COIN',\n",
+ " 'underlyingSubType': [],\n",
+ " 'symbolType': 0,\n",
+ " 'tradingMode': 0,\n",
+ " 'name': '',\n",
+ " 'channel': '{}',\n",
+ " 'sequenceNo': 0,\n",
+ " 'twapMinNotional': '1000',\n",
+ " 'imn': '1000.00',\n",
+ " 'tags': [],\n",
+ " 'settlePlan': 0,\n",
+ " 'triggerProtect': '0.1000',\n",
+ " 'liquidationFee': '0.025000',\n",
+ " 'marketTakeBound': '0.10',\n",
+ " 'createTime': 1777368612549,\n",
+ " 'filters': [{'minPrice': '0.0001000',\n",
+ " 'maxPrice': '200',\n",
+ " 'filterType': 'PRICE_FILTER',\n",
+ " 'tickSize': '0.0000100'},\n",
+ " {'stepSize': '1',\n",
+ " 'filterType': 'LOT_SIZE',\n",
+ " 'maxQty': '500000',\n",
+ " 'minQty': '1'},\n",
+ " {'stepSize': '1',\n",
+ " 'filterType': 'MARKET_LOT_SIZE',\n",
+ " 'maxQty': '40000',\n",
+ " 'minQty': '1'},\n",
+ " {'limit': 200, 'filterType': 'MAX_NUM_ORDERS'},\n",
+ " {'limit': 10, 'filterType': 'MAX_NUM_ALGO_ORDERS'},\n",
+ " {'notional': '5', 'filterType': 'MIN_NOTIONAL'},\n",
+ " {'multiplierDown': '0.9000',\n",
+ " 'multiplierUp': '1.1000',\n",
+ " 'ltMultiplierDown': '0.9000',\n",
+ " 'multiplierDecimal': '4',\n",
+ " 'filterType': 'PERCENT_PRICE',\n",
+ " 'ltMultiplierUp': '1.1000'}],\n",
+ " 'orderTypes': ['LIMIT',\n",
+ " 'MARKET',\n",
+ " 'STOP',\n",
+ " 'STOP_MARKET',\n",
+ " 'TAKE_PROFIT',\n",
+ " 'TAKE_PROFIT_MARKET',\n",
+ " 'TRAILING_STOP_MARKET'],\n",
+ " 'timeInForce': ['GTC', 'IOC', 'FOK', 'GTX', 'HIDDEN']},\n",
+ " {'symbol': 'PROSUSDT',\n",
+ " 'pair': 'PROSUSDT',\n",
+ " 'contractType': 'PERPETUAL',\n",
+ " 'deliveryDate': 4133404800000,\n",
+ " 'onboardDate': 1777386900000,\n",
+ " 'status': 'TRADING',\n",
+ " 'maintMarginPercent': '25.0000',\n",
+ " 'requiredMarginPercent': '50.0000',\n",
+ " 'baseAsset': 'PROS',\n",
+ " 'quoteAsset': 'USDT',\n",
+ " 'marginAsset': 'USDT',\n",
+ " 'pricePrecision': 6,\n",
+ " 'quantityPrecision': 1,\n",
+ " 'baseAssetPrecision': 8,\n",
+ " 'quotePrecision': 8,\n",
+ " 'underlyingType': 'COIN',\n",
+ " 'underlyingSubType': [],\n",
+ " 'symbolType': 0,\n",
+ " 'tradingMode': 0,\n",
+ " 'name': '',\n",
+ " 'channel': '{}',\n",
+ " 'sequenceNo': 0,\n",
+ " 'twapMinNotional': '1000',\n",
+ " 'imn': '1000.00',\n",
+ " 'tags': [],\n",
+ " 'settlePlan': 0,\n",
+ " 'triggerProtect': '0.1000',\n",
+ " 'liquidationFee': '0.025000',\n",
+ " 'marketTakeBound': '0.10',\n",
+ " 'createTime': 1777386195029,\n",
+ " 'filters': [{'minPrice': '0.000100',\n",
+ " 'maxPrice': '200',\n",
+ " 'filterType': 'PRICE_FILTER',\n",
+ " 'tickSize': '0.000100'},\n",
+ " {'stepSize': '0.1',\n",
+ " 'filterType': 'LOT_SIZE',\n",
+ " 'maxQty': '50000',\n",
+ " 'minQty': '0.1'},\n",
+ " {'stepSize': '0.1',\n",
+ " 'filterType': 'MARKET_LOT_SIZE',\n",
+ " 'maxQty': '5000',\n",
+ " 'minQty': '0.1'},\n",
+ " {'limit': 200, 'filterType': 'MAX_NUM_ORDERS'},\n",
+ " {'limit': 10, 'filterType': 'MAX_NUM_ALGO_ORDERS'},\n",
+ " {'notional': '5', 'filterType': 'MIN_NOTIONAL'},\n",
+ " {'multiplierDown': '0.9000',\n",
+ " 'multiplierUp': '1.1000',\n",
+ " 'ltMultiplierDown': '0.9000',\n",
+ " 'multiplierDecimal': '4',\n",
+ " 'filterType': 'PERCENT_PRICE',\n",
+ " 'ltMultiplierUp': '1.1000'}],\n",
+ " 'orderTypes': ['LIMIT',\n",
+ " 'MARKET',\n",
+ " 'STOP',\n",
+ " 'STOP_MARKET',\n",
+ " 'TAKE_PROFIT',\n",
+ " 'TAKE_PROFIT_MARKET',\n",
+ " 'TRAILING_STOP_MARKET'],\n",
+ " 'timeInForce': ['GTC', 'IOC', 'FOK', 'GTX', 'HIDDEN']},\n",
+ " {'symbol': 'BLENDUSDT',\n",
+ " 'pair': 'BLENDUSDT',\n",
+ " 'contractType': 'PERPETUAL',\n",
+ " 'deliveryDate': 4133404800000,\n",
+ " 'onboardDate': 1777450800000,\n",
+ " 'status': 'TRADING',\n",
+ " 'maintMarginPercent': '25.0000',\n",
+ " 'requiredMarginPercent': '50.0000',\n",
+ " 'baseAsset': 'BLEND',\n",
+ " 'quoteAsset': 'USDT',\n",
+ " 'marginAsset': 'USDT',\n",
+ " 'pricePrecision': 7,\n",
+ " 'quantityPrecision': 0,\n",
+ " 'baseAssetPrecision': 8,\n",
+ " 'quotePrecision': 8,\n",
+ " 'underlyingType': 'COIN',\n",
+ " 'underlyingSubType': [],\n",
+ " 'symbolType': 0,\n",
+ " 'tradingMode': 0,\n",
+ " 'name': '',\n",
+ " 'channel': '{}',\n",
+ " 'sequenceNo': 0,\n",
+ " 'twapMinNotional': '1000',\n",
+ " 'imn': None,\n",
+ " 'tags': [],\n",
+ " 'settlePlan': 0,\n",
+ " 'triggerProtect': '0.1000',\n",
+ " 'liquidationFee': '0.025000',\n",
+ " 'marketTakeBound': '0.10',\n",
+ " 'createTime': 1777445070533,\n",
+ " 'filters': [{'minPrice': '0.0001000',\n",
+ " 'maxPrice': '200',\n",
+ " 'filterType': 'PRICE_FILTER',\n",
+ " 'tickSize': '0.0001000'},\n",
+ " {'stepSize': '1',\n",
+ " 'filterType': 'LOT_SIZE',\n",
+ " 'maxQty': '200000',\n",
+ " 'minQty': '1'},\n",
+ " {'stepSize': '1',\n",
+ " 'filterType': 'MARKET_LOT_SIZE',\n",
+ " 'maxQty': '10000',\n",
+ " 'minQty': '1'},\n",
+ " {'limit': 200, 'filterType': 'MAX_NUM_ORDERS'},\n",
+ " {'limit': 10, 'filterType': 'MAX_NUM_ALGO_ORDERS'},\n",
+ " {'notional': '5', 'filterType': 'MIN_NOTIONAL'},\n",
+ " {'multiplierDown': '0.9000',\n",
+ " 'multiplierUp': '1.1000',\n",
+ " 'ltMultiplierDown': '0.9000',\n",
+ " 'multiplierDecimal': '4',\n",
+ " 'filterType': 'PERCENT_PRICE',\n",
+ " 'ltMultiplierUp': '1.1000'}],\n",
+ " 'orderTypes': ['LIMIT',\n",
+ " 'MARKET',\n",
+ " 'STOP',\n",
+ " 'STOP_MARKET',\n",
+ " 'TAKE_PROFIT',\n",
+ " 'TAKE_PROFIT_MARKET',\n",
+ " 'TRAILING_STOP_MARKET'],\n",
+ " 'timeInForce': ['GTC', 'IOC', 'FOK', 'GTX', 'HIDDEN']},\n",
+ " {'symbol': 'PUNDIAIUSDT',\n",
+ " 'pair': 'PUNDIAIUSDT',\n",
+ " 'contractType': 'PERPETUAL',\n",
+ " 'deliveryDate': 4133404800000,\n",
+ " 'onboardDate': 1777464000000,\n",
+ " 'status': 'TRADING',\n",
+ " 'maintMarginPercent': '25.0000',\n",
+ " 'requiredMarginPercent': '50.0000',\n",
+ " 'baseAsset': 'PUNDIAI',\n",
+ " 'quoteAsset': 'USDT',\n",
+ " 'marginAsset': 'USDT',\n",
+ " 'pricePrecision': 6,\n",
+ " 'quantityPrecision': 1,\n",
+ " 'baseAssetPrecision': 8,\n",
+ " 'quotePrecision': 8,\n",
+ " 'underlyingType': 'COIN',\n",
+ " 'underlyingSubType': ['AI'],\n",
+ " 'symbolType': 0,\n",
+ " 'tradingMode': 0,\n",
+ " 'name': '',\n",
+ " 'channel': '{}',\n",
+ " 'sequenceNo': 0,\n",
+ " 'twapMinNotional': '1000',\n",
+ " 'imn': None,\n",
+ " 'tags': [],\n",
+ " 'settlePlan': 0,\n",
+ " 'triggerProtect': '0.1000',\n",
+ " 'liquidationFee': '0.025000',\n",
+ " 'marketTakeBound': '0.10',\n",
+ " 'createTime': 1777445073813,\n",
+ " 'filters': [{'minPrice': '0.000100',\n",
+ " 'maxPrice': '200',\n",
+ " 'filterType': 'PRICE_FILTER',\n",
+ " 'tickSize': '0.000100'},\n",
+ " {'stepSize': '1',\n",
+ " 'filterType': 'LOT_SIZE',\n",
+ " 'maxQty': '100000',\n",
+ " 'minQty': '1'},\n",
+ " {'stepSize': '1',\n",
+ " 'filterType': 'MARKET_LOT_SIZE',\n",
+ " 'maxQty': '10000',\n",
+ " 'minQty': '1'},\n",
+ " {'limit': 200, 'filterType': 'MAX_NUM_ORDERS'},\n",
+ " {'limit': 10, 'filterType': 'MAX_NUM_ALGO_ORDERS'},\n",
+ " {'notional': '5', 'filterType': 'MIN_NOTIONAL'},\n",
+ " {'multiplierDown': '0.9000',\n",
+ " 'multiplierUp': '1.1000',\n",
+ " 'ltMultiplierDown': '0.9000',\n",
+ " 'multiplierDecimal': '4',\n",
+ " 'filterType': 'PERCENT_PRICE',\n",
+ " 'ltMultiplierUp': '1.1000'}],\n",
+ " 'orderTypes': ['LIMIT',\n",
+ " 'MARKET',\n",
+ " 'STOP',\n",
+ " 'STOP_MARKET',\n",
+ " 'TAKE_PROFIT',\n",
+ " 'TAKE_PROFIT_MARKET',\n",
+ " 'TRAILING_STOP_MARKET'],\n",
+ " 'timeInForce': ['GTC', 'IOC', 'FOK', 'GTX', 'HIDDEN']}]"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "j['symbols']"
]
},
{
@@ -218,38 +26604,10 @@
},
{
"cell_type": "code",
- "execution_count": 8,
- "id": "f0538cde",
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "{'symbol': 'ETHUSDT',\n",
- " 'positionAmt': '0.000',\n",
- " 'entryPrice': '0.0',\n",
- " 'markPrice': '2317.47321317',\n",
- " 'unRealizedProfit': '0.00000000',\n",
- " 'liquidationPrice': '0',\n",
- " 'leverage': '150',\n",
- " 'maxNotionalValue': '300000',\n",
- " 'marginType': 'cross',\n",
- " 'isolatedMargin': '0.00000000',\n",
- " 'isAutoAddMargin': 'false',\n",
- " 'positionSide': 'BOTH',\n",
- " 'notional': '0',\n",
- " 'isolatedWallet': '0',\n",
- " 'updateTime': 1776996575970}"
- ]
- },
- "execution_count": 8,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "d"
- ]
+ "outputs": [],
+ "source": []
},
{
"cell_type": "code",
diff --git a/engine_best_funding_rate.ipynb b/engine_best_funding_rate.ipynb
index d5c1eba..dcd5ab1 100644
--- a/engine_best_funding_rate.ipynb
+++ b/engine_best_funding_rate.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 1,
"id": "0b5ca901",
"metadata": {},
"outputs": [],
@@ -14,14 +14,18 @@
"import time\n",
"import json\n",
"import valkey\n",
- "from dataclasses import dataclass, field\n",
+ "from dataclasses import dataclass, field, asdict\n",
+ "import modules.structs as structs\n",
"\n",
- "VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0, decode_responses=True)"
+ "import modules.manual_leverage as leverage\n",
+ "VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0, decode_responses=True)\n",
+ "\n",
+ "df_leverage_by_exch = pd.DataFrame(data=leverage.LEVERAGE_BY_EXCH)"
]
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 2,
"id": "20665e82",
"metadata": {},
"outputs": [],
@@ -31,7 +35,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 3,
"id": "53647b40",
"metadata": {},
"outputs": [],
@@ -48,7 +52,7 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": 4,
"id": "1f3b65ee",
"metadata": {},
"outputs": [],
@@ -62,7 +66,7 @@
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 5,
"id": "e33ec721",
"metadata": {},
"outputs": [],
@@ -85,53 +89,7 @@
},
{
"cell_type": "code",
- "execution_count": 33,
- "id": "782a5d56",
- "metadata": {},
- "outputs": [],
- "source": [
- "@dataclass(kw_only=False)\n",
- "class Asset_Leverage:\n",
- " exchange: str\n",
- " lh_asset: str\n",
- " rh_asset: str\n",
- " max_leverage: int\n",
- " max_notional: float\n",
- " # max_leverage_notional: list = field(default_factory=list)\n",
- "\n",
- "### MANUAL LEVERAGE DATA ###\n",
- "LEVERAGE_BY_EXCH: list[Asset_Leverage] = [\n",
- " Asset_Leverage('ASTER', 'ASTER', 'USDT', 75 , 20_000 ), Asset_Leverage('EXTEND', 'ASTER', 'USDT', 25, 400_000 ),\n",
- " Asset_Leverage('ASTER', 'AAVE' , 'USDT', 10 , 115_290), Asset_Leverage('EXTEND', 'AAVE' , 'USDT', 50, 500_000 ),\n",
- " Asset_Leverage('ASTER', '4' , 'USDT', 50 , 5_000 ), Asset_Leverage('EXTEND', '4' , 'USDT', 5 , 100_000 ),\n",
- " Asset_Leverage('ASTER', 'BNB' , 'USDT', 100, 10_000 ), Asset_Leverage('EXTEND', 'BNB' , 'USDT', 50, 500_000 ),\n",
- " Asset_Leverage('ASTER', 'BTC' , 'USDT', 150, 300_000), Asset_Leverage('EXTEND', 'BTC' , 'USDT', 50, 4_000_000),\n",
- " Asset_Leverage('ASTER', 'CHIP' , 'USDT', 50 , 5_000 ), Asset_Leverage('EXTEND', 'CHIP' , 'USDT', 5 , 100_000 ),\n",
- " Asset_Leverage('ASTER', 'CLU' , 'USDT', 50 , 10_000 ), Asset_Leverage('EXTEND', 'WTI' , 'USDT', 5 , 1_000_000),\n",
- " Asset_Leverage('ASTER', 'DOGE' , 'USDT', 75 , 80_000 ), Asset_Leverage('EXTEND', 'DOGE' , 'USDT', 50, 500_000 ),\n",
- " Asset_Leverage('ASTER', 'ENA' , 'USDT', 25 , 30_473 ), Asset_Leverage('EXTEND', 'ENA' , 'USDT', 50, 500_000 ),\n",
- " Asset_Leverage('ASTER', 'ETH' , 'USDT', 150, 300_000), Asset_Leverage('EXTEND', 'ETH' , 'USDT', 50, 4_000_000),\n",
- " Asset_Leverage('ASTER', 'HYPE' , 'USDT', 300, 1_000 ), Asset_Leverage('EXTEND', 'HYPE' , 'USDT', 50, 1_000_000),\n",
- " Asset_Leverage('ASTER', 'INIT' , 'USDT', 50 , 5_000 ), Asset_Leverage('EXTEND', 'INIT' , 'USDT', 5 , 100_000 ),\n",
- " Asset_Leverage('ASTER', 'LIT' , 'USDT', 50 , 2_500 ), Asset_Leverage('EXTEND', 'LIT' , 'USDT', 25, 400_000 ),\n",
- " Asset_Leverage('ASTER', 'SOL' , 'USDT', 100, 50_000 ), Asset_Leverage('EXTEND', 'SOL' , 'USDT', 50, 1_000_000),\n",
- " Asset_Leverage('ASTER', 'SUI' , 'USDT', 75 , 5_416 ), Asset_Leverage('EXTEND', 'SUI' , 'USDT', 50, 500_000 ),\n",
- " Asset_Leverage('ASTER', 'TRUMP', 'USDT', 50 , 5_567 ), Asset_Leverage('EXTEND', 'TRUMP', 'USDT', 25, 400_000 ),\n",
- " Asset_Leverage('ASTER', 'WLFI' , 'USDT', 25 , 104_869), Asset_Leverage('EXTEND', 'WLFI' , 'USDT', 10, 250_000 ),\n",
- " Asset_Leverage('ASTER', 'XAG' , 'USDT', 100, 50_000 ), Asset_Leverage('EXTEND', 'XAG' , 'USDT', 10, 1_000_000),\n",
- " Asset_Leverage('ASTER', 'XAU' , 'USDT', 75 , 2_500 ), Asset_Leverage('EXTEND', 'XAU' , 'USDT', 25, 2_000_000),\n",
- " Asset_Leverage('ASTER', 'XMR' , 'USDT', 50 , 10_000 ), Asset_Leverage('EXTEND', 'XMR' , 'USDT', 25, 400_000 ),\n",
- " Asset_Leverage('ASTER', 'XPT' , 'USDT', 3 , 30_000 ), Asset_Leverage('EXTEND', 'XPT' , 'USDT', 5 , 1_000_000),\n",
- " Asset_Leverage('ASTER', 'XRP' , 'USDT', 100, 40_000 ), Asset_Leverage('EXTEND', 'XRP' , 'USDT', 50, 500_000 ),\n",
- " Asset_Leverage('ASTER', 'ZEC' , 'USDT', 75 , 6_250 ), Asset_Leverage('EXTEND', 'ZEC' , 'USDT', 10, 250_000 ),\n",
- " Asset_Leverage('ASTER', 'ZORA' , 'USDT', 5 , 100_000), Asset_Leverage('EXTEND', 'ZORA' , 'USDT', 5 , 100_000 ),\n",
- "]\n",
- "df_leverage_by_exch = pd.DataFrame(LEVERAGE_BY_EXCH)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 34,
+ "execution_count": 6,
"id": "62815940",
"metadata": {},
"outputs": [],
@@ -146,13 +104,13 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": null,
"id": "271a67c1",
"metadata": {},
"outputs": [],
"source": [
"### ASTER CURRENT FR - WS ###\n",
- "df_aster_current_fr = pd.DataFrame(json.loads(VAL_KEY.get('fund_rate_aster_all')))\n",
+ "df_aster_current_fr = pd.DataFrame(json.loads(VAL_KEY.get('fund_rate_aster_all'))) # ty:ignore[invalid-argument-type]\n",
"df_aster_current_fr = df_aster_current_fr[['s','E','r','T']].rename({'s':'symbol','E':'funding_rate_updated_ts_ms','r':'funding_rate','T':'next_funding_ts'}, axis=1)\n",
"df_aster_current_fr['funding_rate_updated_dt'] = pd.to_datetime(df_aster_current_fr['funding_rate_updated_ts_ms'], unit='ms')\n",
"df_aster_current_fr['funding_rate'] = df_aster_current_fr['funding_rate'].astype(float)\n",
@@ -161,13 +119,13 @@
},
{
"cell_type": "code",
- "execution_count": 36,
+ "execution_count": null,
"id": "1ce2fde4",
"metadata": {},
"outputs": [],
"source": [
"### EXTEND CURRENT FR - WS ###\n",
- "df_extended_current_fr = pd.DataFrame(json.loads(VAL_KEY.get('fund_rate_extended_all')))\n",
+ "df_extended_current_fr = pd.DataFrame(json.loads(VAL_KEY.get('fund_rate_extended_all'))) # ty:ignore[invalid-argument-type]\n",
"df_extended_current_fr = df_extended_current_fr[['symbol','funding_rate_updated_ts_ms','funding_rate']]\n",
"df_extended_current_fr['funding_rate_updated_dt'] = pd.to_datetime(df_extended_current_fr['funding_rate_updated_ts_ms'], unit='ms')\n",
"df_extended_current_fr['funding_rate'] = df_extended_current_fr['funding_rate'].astype(float)\n",
@@ -181,7 +139,7 @@
},
{
"cell_type": "code",
- "execution_count": 37,
+ "execution_count": 13,
"id": "ff88b413",
"metadata": {},
"outputs": [],
@@ -201,34 +159,8 @@
},
{
"cell_type": "code",
- "execution_count": 38,
- "id": "f5ade993",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "{'symbol_ast': 'CHIPUSDT', 'symbol_extended': 'CHIP-USD'}"
- ]
- },
- "execution_count": 38,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_best_fr_rate = df_comb_current_fr[['symbol_ext','symbol_ast','net_mult_x_net_fr_abs','net_funding_rate_abs','net_funding_rate','next_funding_at_same_time']].sort_values(by='net_mult_x_net_fr_abs', ascending=False).reset_index(drop=True)\n",
- "df_best_fr_rate['hourly_dollars_per_1k'] = df_best_fr_rate['net_mult_x_net_fr_abs'] * 1000\n",
- "df_best_fr_rate['hourly_dollars_per_1k'] = df_best_fr_rate['hourly_dollars_per_1k'].round(2)\n",
- "\n",
- "best_next_funding_pair = {'symbol_ast':df_best_fr_rate['symbol_ast'][0],'symbol_extended':df_best_fr_rate['symbol_ext'][0]}\n",
- "best_next_funding_pair"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 39,
- "id": "0972d5f4",
+ "execution_count": 14,
+ "id": "2a57ff44",
"metadata": {},
"outputs": [
{
@@ -245,13 +177,83 @@
"rawType": "str",
"type": "string"
},
+ {
+ "name": "funding_rate_updated_ts_ms_ext",
+ "rawType": "int64",
+ "type": "integer"
+ },
+ {
+ "name": "funding_rate_ext",
+ "rawType": "float64",
+ "type": "float"
+ },
+ {
+ "name": "funding_rate_updated_dt_ext",
+ "rawType": "datetime64[ms]",
+ "type": "datetime"
+ },
+ {
+ "name": "assetName",
+ "rawType": "str",
+ "type": "string"
+ },
+ {
+ "name": "status",
+ "rawType": "str",
+ "type": "string"
+ },
+ {
+ "name": "next_funding_ts_ext",
+ "rawType": "float64",
+ "type": "float"
+ },
+ {
+ "name": "USDT_Symbol",
+ "rawType": "str",
+ "type": "string"
+ },
+ {
+ "name": "time_delta_to_next_funding_ext",
+ "rawType": "timedelta64[us]",
+ "type": "unknown"
+ },
{
"name": "symbol_ast",
"rawType": "str",
"type": "string"
},
{
- "name": "net_mult_x_net_fr_abs",
+ "name": "funding_rate_updated_ts_ms_ast",
+ "rawType": "int64",
+ "type": "integer"
+ },
+ {
+ "name": "funding_rate_ast",
+ "rawType": "float64",
+ "type": "float"
+ },
+ {
+ "name": "next_funding_ts_ast",
+ "rawType": "int64",
+ "type": "integer"
+ },
+ {
+ "name": "funding_rate_updated_dt_ast",
+ "rawType": "datetime64[ms]",
+ "type": "datetime"
+ },
+ {
+ "name": "time_delta_to_next_funding_ast",
+ "rawType": "timedelta64[us]",
+ "type": "unknown"
+ },
+ {
+ "name": "next_funding_at_same_time",
+ "rawType": "bool",
+ "type": "boolean"
+ },
+ {
+ "name": "net_funding_rate",
"rawType": "float64",
"type": "float"
},
@@ -261,256 +263,830 @@
"type": "float"
},
{
- "name": "net_funding_rate",
+ "name": "exchange_ext",
+ "rawType": "str",
+ "type": "string"
+ },
+ {
+ "name": "lh_asset_ext",
+ "rawType": "str",
+ "type": "string"
+ },
+ {
+ "name": "rh_asset_ext",
+ "rawType": "str",
+ "type": "string"
+ },
+ {
+ "name": "max_leverage_ext",
+ "rawType": "int64",
+ "type": "integer"
+ },
+ {
+ "name": "max_notional_ext",
+ "rawType": "int64",
+ "type": "integer"
+ },
+ {
+ "name": "exchange_ast",
+ "rawType": "str",
+ "type": "string"
+ },
+ {
+ "name": "lh_asset_ast",
+ "rawType": "str",
+ "type": "string"
+ },
+ {
+ "name": "rh_asset_ast",
+ "rawType": "str",
+ "type": "string"
+ },
+ {
+ "name": "max_leverage_ast",
+ "rawType": "int64",
+ "type": "integer"
+ },
+ {
+ "name": "max_notional_ast",
+ "rawType": "int64",
+ "type": "integer"
+ },
+ {
+ "name": "net_mult",
"rawType": "float64",
"type": "float"
},
{
- "name": "next_funding_at_same_time",
- "rawType": "bool",
- "type": "boolean"
- },
- {
- "name": "hourly_dollars_per_1k",
+ "name": "net_mult_x_net_fr_abs",
"rawType": "float64",
"type": "float"
}
],
- "ref": "33130419-3234-458e-82da-43648a261793",
+ "ref": "828df49a-a9ee-4c48-b86a-3cead015814c",
"rows": [
[
"0",
- "CHIP-USD",
- "CHIPUSDT",
- "0.00352692",
- "0.000388",
- "-0.000388",
+ "BTC-USD",
+ "1777438379597",
+ "1.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "BTC",
+ "ACTIVE",
+ "1777496400000.0",
+ "BTCUSDT",
+ "0 days 00:56:57.938774",
+ "BTCUSDT",
+ "1777491132000",
+ "3.866e-05",
+ "1777507200000",
+ "2026-04-29 19:32:12",
+ "0 days 03:56:58.188791",
"False",
- "3.53"
+ "1.3e-05",
+ "1.3e-05",
+ "EXTEND",
+ "BTC",
+ "USD",
+ "50",
+ "4000000",
+ "ASTER",
+ "BTC",
+ "USDT",
+ "150",
+ "300000",
+ "75.0",
+ "0.000975"
],
[
"1",
- "HYPE-USD",
- "HYPEUSDT",
- "0.00111423",
- "1.3e-05",
+ "ETH-USD",
+ "1777438379597",
"1.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "ETH",
+ "ACTIVE",
+ "1777496400000.0",
+ "ETHUSDT",
+ "0 days 00:56:57.938774",
+ "ETHUSDT",
+ "1777491132000",
+ "8.26e-06",
+ "1777507200000",
+ "2026-04-29 19:32:12",
+ "0 days 03:56:58.188791",
"False",
- "1.11"
+ "1.3e-05",
+ "1.3e-05",
+ "EXTEND",
+ "ETH",
+ "USD",
+ "50",
+ "4000000",
+ "ASTER",
+ "ETH",
+ "USDT",
+ "150",
+ "300000",
+ "75.0",
+ "0.000975"
],
[
"2",
- "BTC-USD",
- "BTCUSDT",
- "0.000975",
- "1.3e-05",
- "1.3e-05",
+ "SOL-USD",
+ "1777438379597",
+ "-5e-06",
+ "2026-04-29 04:52:59.597000",
+ "SOL",
+ "ACTIVE",
+ "1777496400000.0",
+ "SOLUSDT",
+ "0 days 00:56:57.938774",
+ "SOLUSDT",
+ "1777491132000",
+ "-0.00010428",
+ "1777507200000",
+ "2026-04-29 19:32:12",
+ "0 days 03:56:58.188791",
"False",
- "0.98"
+ "-5e-06",
+ "5e-06",
+ "EXTEND",
+ "SOL",
+ "USD",
+ "50",
+ "1000000",
+ "ASTER",
+ "SOL",
+ "USDT",
+ "100",
+ "50000",
+ "66.67",
+ "0.00033335000000000005"
],
[
"3",
- "ETH-USD",
- "ETHUSDT",
- "0.000975",
- "1.3e-05",
+ "DOGE-USD",
+ "1777438379597",
"1.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "DOGE",
+ "ACTIVE",
+ "1777496400000.0",
+ "DOGEUSDT",
+ "0 days 00:56:57.938774",
+ "DOGEUSDT",
+ "1777491132000",
+ "7.854e-05",
+ "1777507200000",
+ "2026-04-29 19:32:12",
+ "0 days 03:56:58.188791",
"False",
- "0.98"
+ "1.3e-05",
+ "1.3e-05",
+ "EXTEND",
+ "DOGE",
+ "USD",
+ "50",
+ "500000",
+ "ASTER",
+ "DOGE",
+ "USDT",
+ "75",
+ "80000",
+ "60.0",
+ "0.00078"
],
[
"4",
"BNB-USD",
+ "1777438379597",
+ "1.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "BNB",
+ "ACTIVE",
+ "1777496400000.0",
"BNBUSDT",
- "0.0008667099999999999",
- "1.3e-05",
- "1.3e-05",
+ "0 days 00:56:57.938774",
+ "BNBUSDT",
+ "1777491132000",
+ "0.0",
+ "1777507200000",
+ "2026-04-29 19:32:12",
+ "0 days 03:56:58.188791",
"False",
- "0.87"
+ "1.3e-05",
+ "1.3e-05",
+ "EXTEND",
+ "BNB",
+ "USD",
+ "50",
+ "500000",
+ "ASTER",
+ "BNB",
+ "USDT",
+ "100",
+ "10000",
+ "66.67",
+ "0.0008667099999999999"
],
[
"5",
- "XAU-USD",
- "XAUUSDT",
- "0.0008625",
- "2.3e-05",
- "2.3e-05",
+ "XRP-USD",
+ "1777438379597",
+ "2e-06",
+ "2026-04-29 04:52:59.597000",
+ "XRP",
+ "ACTIVE",
+ "1777496400000.0",
+ "XRPUSDT",
+ "0 days 00:56:57.938774",
+ "XRPUSDT",
+ "1777491132000",
+ "-7.617e-05",
+ "1777507200000",
+ "2026-04-29 19:32:12",
+ "0 days 03:56:58.188791",
"False",
- "0.86"
+ "2e-06",
+ "2e-06",
+ "EXTEND",
+ "XRP",
+ "USD",
+ "50",
+ "500000",
+ "ASTER",
+ "XRP",
+ "USDT",
+ "100",
+ "40000",
+ "66.67",
+ "0.00013334"
],
[
"6",
- "DOGE-USD",
- "DOGEUSDT",
- "0.00078",
- "1.3e-05",
- "1.3e-05",
+ "SUI-USD",
+ "1777438379597",
+ "-9e-06",
+ "2026-04-29 04:52:59.597000",
+ "SUI",
+ "ACTIVE",
+ "1777496400000.0",
+ "SUIUSDT",
+ "0 days 00:56:57.938774",
+ "SUIUSDT",
+ "1777491132000",
+ "2.932e-05",
+ "1777507200000",
+ "2026-04-29 19:32:12",
+ "0 days 03:56:58.188791",
"False",
- "0.78"
+ "-9e-06",
+ "9e-06",
+ "EXTEND",
+ "SUI",
+ "USD",
+ "50",
+ "500000",
+ "ASTER",
+ "SUI",
+ "USDT",
+ "75",
+ "5416",
+ "60.0",
+ "0.00054"
],
[
"7",
- "XMR-USD",
- "XMRUSDT",
- "0.0007332599999999999",
- "2.2e-05",
- "2.2e-05",
+ "HYPE-USD",
+ "1777438379597",
+ "1.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "HYPE",
+ "ACTIVE",
+ "1777496400000.0",
+ "HYPEUSDT",
+ "0 days 00:56:57.938774",
+ "HYPEUSDT",
+ "1777491132000",
+ "5e-05",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.73"
+ "1.3e-05",
+ "1.3e-05",
+ "EXTEND",
+ "HYPE",
+ "USD",
+ "50",
+ "1000000",
+ "ASTER",
+ "HYPE",
+ "USDT",
+ "300",
+ "1000",
+ "85.71",
+ "0.00111423"
],
[
"8",
- "XPT-USD",
- "XPTUSDT",
- "0.0006299999999999999",
- "0.000168",
- "0.000168",
+ "ENA-USD",
+ "1777438379597",
+ "1.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "ENA",
+ "ACTIVE",
+ "1777496400000.0",
+ "ENAUSDT",
+ "0 days 00:56:57.938774",
+ "ENAUSDT",
+ "1777491132000",
+ "0.0001",
+ "1777507200000",
+ "2026-04-29 19:32:12",
+ "0 days 03:56:58.188791",
"False",
- "0.63"
+ "1.3e-05",
+ "1.3e-05",
+ "EXTEND",
+ "ENA",
+ "USD",
+ "50",
+ "500000",
+ "ASTER",
+ "ENA",
+ "USDT",
+ "25",
+ "30473",
+ "33.33",
+ "0.00043328999999999997"
],
[
"9",
- "SUI-USD",
- "SUIUSDT",
- "0.00054",
- "9e-06",
- "-9e-06",
+ "AAVE-USD",
+ "1777438379597",
+ "6e-06",
+ "2026-04-29 04:52:59.597000",
+ "AAVE",
+ "ACTIVE",
+ "1777496400000.0",
+ "AAVEUSDT",
+ "0 days 00:56:57.938774",
+ "AAVEUSDT",
+ "1777491132000",
+ "0.0001",
+ "1777507200000",
+ "2026-04-29 19:32:12",
+ "0 days 03:56:58.188791",
"False",
- "0.54"
+ "6e-06",
+ "6e-06",
+ "EXTEND",
+ "AAVE",
+ "USD",
+ "50",
+ "500000",
+ "ASTER",
+ "AAVE",
+ "USDT",
+ "10",
+ "115290",
+ "16.67",
+ "0.00010002000000000001"
],
[
"10",
- "ASTER-USD",
- "ASTERUSDT",
- "0.0004875",
- "1.3e-05",
- "1.3e-05",
+ "TRUMP-USD",
+ "1777438379597",
+ "-1e-06",
+ "2026-04-29 04:52:59.597000",
+ "TRUMP",
+ "ACTIVE",
+ "1777496400000.0",
+ "TRUMPUSDT",
+ "0 days 00:56:57.938774",
+ "TRUMPUSDT",
+ "1777491132000",
+ "5e-05",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.49"
+ "-1e-06",
+ "1e-06",
+ "EXTEND",
+ "TRUMP",
+ "USD",
+ "25",
+ "400000",
+ "ASTER",
+ "TRUMP",
+ "USDT",
+ "50",
+ "5567",
+ "33.33",
+ "3.3329999999999994e-05"
],
[
"11",
- "ENA-USD",
- "ENAUSDT",
- "0.00043328999999999997",
- "1.3e-05",
+ "INIT-USD",
+ "1777438379597",
"1.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "INIT",
+ "ACTIVE",
+ "1777496400000.0",
+ "INITUSDT",
+ "0 days 00:56:57.938774",
+ "INITUSDT",
+ "1777491132000",
+ "1.25e-05",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.43"
+ "1.3e-05",
+ "1.3e-05",
+ "EXTEND",
+ "INIT",
+ "USD",
+ "5",
+ "100000",
+ "ASTER",
+ "INIT",
+ "USDT",
+ "50",
+ "5000",
+ "9.09",
+ "0.00011816999999999999"
],
[
"12",
- "LIT-USD",
- "LITUSDT",
- "0.00043328999999999997",
- "1.3e-05",
- "1.3e-05",
+ "XAU-USD",
+ "1777438379597",
+ "2.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "XAU",
+ "ACTIVE",
+ "1777496400000.0",
+ "XAUUSDT",
+ "0 days 00:56:57.938774",
+ "XAUUSDT",
+ "1777491132000",
+ "0.00013741",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.43"
+ "2.3e-05",
+ "2.3e-05",
+ "EXTEND",
+ "XAU",
+ "USD",
+ "25",
+ "2000000",
+ "ASTER",
+ "XAU",
+ "USDT",
+ "75",
+ "2500",
+ "37.5",
+ "0.0008625"
],
[
"13",
- "ZEC-USD",
- "ZECUSDT",
- "0.00038829999999999995",
- "2.2e-05",
- "-2.2e-05",
+ "XAG-USD",
+ "1777438379597",
+ "3e-06",
+ "2026-04-29 04:52:59.597000",
+ "XAG",
+ "ACTIVE",
+ "1777496400000.0",
+ "XAGUSDT",
+ "0 days 00:56:57.938774",
+ "XAGUSDT",
+ "1777491132000",
+ "0.0002762",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.39"
+ "3e-06",
+ "3e-06",
+ "EXTEND",
+ "XAG",
+ "USD",
+ "10",
+ "1000000",
+ "ASTER",
+ "XAG",
+ "USDT",
+ "100",
+ "50000",
+ "18.18",
+ "5.454e-05"
],
[
"14",
- "SOL-USD",
- "SOLUSDT",
- "0.00033335000000000005",
- "5e-06",
- "-5e-06",
+ "ZORA-USD",
+ "1777438379597",
+ "1.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "ZORA",
+ "ACTIVE",
+ "1777496400000.0",
+ "ZORAUSDT",
+ "0 days 00:56:57.938774",
+ "ZORAUSDT",
+ "1777491132000",
+ "5e-05",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.33"
+ "1.3e-05",
+ "1.3e-05",
+ "EXTEND",
+ "ZORA",
+ "USD",
+ "5",
+ "100000",
+ "ASTER",
+ "ZORA",
+ "USDT",
+ "5",
+ "100000",
+ "5.0",
+ "6.5e-05"
],
[
"15",
"WLFI-USD",
- "WLFIUSDT",
- "0.00018576999999999998",
- "1.3e-05",
+ "1777438379597",
"-1.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "WLFI",
+ "ACTIVE",
+ "1777496400000.0",
+ "WLFIUSDT",
+ "0 days 00:56:57.938774",
+ "WLFIUSDT",
+ "1777491132000",
+ "5e-05",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.19"
+ "-1.3e-05",
+ "1.3e-05",
+ "EXTEND",
+ "WLFI",
+ "USD",
+ "10",
+ "250000",
+ "ASTER",
+ "WLFI",
+ "USDT",
+ "25",
+ "104869",
+ "14.29",
+ "0.00018576999999999998"
],
[
"16",
- "XRP-USD",
- "XRPUSDT",
- "0.00013334",
- "2e-06",
- "2e-06",
+ "ASTER-USD",
+ "1777438379597",
+ "1.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "ASTER",
+ "ACTIVE",
+ "1777496400000.0",
+ "ASTERUSDT",
+ "0 days 00:56:57.938774",
+ "ASTERUSDT",
+ "1777491132000",
+ "5e-05",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.13"
+ "1.3e-05",
+ "1.3e-05",
+ "EXTEND",
+ "ASTER",
+ "USD",
+ "25",
+ "400000",
+ "ASTER",
+ "ASTER",
+ "USDT",
+ "75",
+ "20000",
+ "37.5",
+ "0.0004875"
],
[
"17",
- "INIT-USD",
- "INITUSDT",
- "0.00011816999999999999",
- "1.3e-05",
- "1.3e-05",
+ "ZEC-USD",
+ "1777438379597",
+ "-2.2e-05",
+ "2026-04-29 04:52:59.597000",
+ "ZEC",
+ "ACTIVE",
+ "1777496400000.0",
+ "ZECUSDT",
+ "0 days 00:56:57.938774",
+ "ZECUSDT",
+ "1777491132000",
+ "7.86e-06",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.12"
+ "-2.2e-05",
+ "2.2e-05",
+ "EXTEND",
+ "ZEC",
+ "USD",
+ "10",
+ "250000",
+ "ASTER",
+ "ZEC",
+ "USDT",
+ "75",
+ "6250",
+ "17.65",
+ "0.00038829999999999995"
],
[
"18",
"4-USD",
+ "1777438379597",
+ "1.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "4",
+ "ACTIVE",
+ "1777496400000.0",
"4USDT",
- "0.00011816999999999999",
- "1.3e-05",
- "1.3e-05",
+ "0 days 00:56:57.938774",
+ "4USDT",
+ "1777491132000",
+ "1.25e-05",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.12"
+ "1.3e-05",
+ "1.3e-05",
+ "EXTEND",
+ "4",
+ "USD",
+ "5",
+ "100000",
+ "ASTER",
+ "4",
+ "USDT",
+ "50",
+ "5000",
+ "9.09",
+ "0.00011816999999999999"
],
[
"19",
- "AAVE-USD",
- "AAVEUSDT",
- "0.00010002000000000001",
- "6e-06",
- "6e-06",
+ "LIT-USD",
+ "1777438379597",
+ "1.3e-05",
+ "2026-04-29 04:52:59.597000",
+ "LIT",
+ "ACTIVE",
+ "1777496400000.0",
+ "LITUSDT",
+ "0 days 00:56:57.938774",
+ "LITUSDT",
+ "1777491132000",
+ "1.25e-05",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.1"
+ "1.3e-05",
+ "1.3e-05",
+ "EXTEND",
+ "LIT",
+ "USD",
+ "25",
+ "400000",
+ "ASTER",
+ "LIT",
+ "USDT",
+ "50",
+ "2500",
+ "33.33",
+ "0.00043328999999999997"
],
[
"20",
- "ZORA-USD",
- "ZORAUSDT",
- "6.5e-05",
- "1.3e-05",
- "1.3e-05",
+ "XMR-USD",
+ "1777438379597",
+ "2.2e-05",
+ "2026-04-29 04:52:59.597000",
+ "XMR",
+ "ACTIVE",
+ "1777496400000.0",
+ "XMRUSDT",
+ "0 days 00:56:57.938774",
+ "XMRUSDT",
+ "1777491132000",
+ "1.25e-05",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.06"
+ "2.2e-05",
+ "2.2e-05",
+ "EXTEND",
+ "XMR",
+ "USD",
+ "25",
+ "400000",
+ "ASTER",
+ "XMR",
+ "USDT",
+ "50",
+ "10000",
+ "33.33",
+ "0.0007332599999999999"
],
[
"21",
- "XAG-USD",
- "XAGUSDT",
- "5.454e-05",
- "3e-06",
- "3e-06",
+ "XPT-USD",
+ "1777438379597",
+ "0.000168",
+ "2026-04-29 04:52:59.597000",
+ "XPT",
+ "ACTIVE",
+ "1777496400000.0",
+ "XPTUSDT",
+ "0 days 00:56:57.938774",
+ "XPTUSDT",
+ "1777491132000",
+ "0.00059244",
+ "1777507200000",
+ "2026-04-29 19:32:12",
+ "0 days 03:56:58.188791",
"False",
- "0.05"
+ "0.000168",
+ "0.000168",
+ "EXTEND",
+ "XPT",
+ "USD",
+ "5",
+ "1000000",
+ "ASTER",
+ "XPT",
+ "USDT",
+ "3",
+ "30000",
+ "3.75",
+ "0.0006299999999999999"
],
[
"22",
- "TRUMP-USD",
- "TRUMPUSDT",
- "3.3329999999999994e-05",
- "1e-06",
- "-1e-06",
+ "CHIP-USD",
+ "1777438379597",
+ "-0.000388",
+ "2026-04-29 04:52:59.597000",
+ "CHIP",
+ "ACTIVE",
+ "1777496400000.0",
+ "CHIPUSDT",
+ "0 days 00:56:57.938774",
+ "CHIPUSDT",
+ "1777491132000",
+ "-0.00031985",
+ "1777492800000",
+ "2026-04-29 19:32:12",
+ "-1 days +23:56:58.188791",
"False",
- "0.03"
+ "-0.000388",
+ "0.000388",
+ "EXTEND",
+ "CHIP",
+ "USD",
+ "5",
+ "100000",
+ "ASTER",
+ "CHIP",
+ "USDT",
+ "50",
+ "5000",
+ "9.09",
+ "0.00352692"
]
],
"shape": {
- "columns": 7,
+ "columns": 30,
"rows": 23
}
},
@@ -534,314 +1110,897 @@
" \n",
" | \n",
" symbol_ext | \n",
+ " funding_rate_updated_ts_ms_ext | \n",
+ " funding_rate_ext | \n",
+ " funding_rate_updated_dt_ext | \n",
+ " assetName | \n",
+ " status | \n",
+ " next_funding_ts_ext | \n",
+ " USDT_Symbol | \n",
+ " time_delta_to_next_funding_ext | \n",
" symbol_ast | \n",
+ " ... | \n",
+ " rh_asset_ext | \n",
+ " max_leverage_ext | \n",
+ " max_notional_ext | \n",
+ " exchange_ast | \n",
+ " lh_asset_ast | \n",
+ " rh_asset_ast | \n",
+ " max_leverage_ast | \n",
+ " max_notional_ast | \n",
+ " net_mult | \n",
" net_mult_x_net_fr_abs | \n",
- " net_funding_rate_abs | \n",
- " net_funding_rate | \n",
- " next_funding_at_same_time | \n",
- " hourly_dollars_per_1k | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
- " CHIP-USD | \n",
- " CHIPUSDT | \n",
- " 0.003527 | \n",
- " 0.000388 | \n",
- " -0.000388 | \n",
- " False | \n",
- " 3.53 | \n",
+ " BTC-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000013 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " BTC | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " BTCUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " BTCUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 50 | \n",
+ " 4000000 | \n",
+ " ASTER | \n",
+ " BTC | \n",
+ " USDT | \n",
+ " 150 | \n",
+ " 300000 | \n",
+ " 75.00 | \n",
+ " 0.000975 | \n",
"
\n",
" \n",
" | 1 | \n",
- " HYPE-USD | \n",
- " HYPEUSDT | \n",
- " 0.001114 | \n",
+ " ETH-USD | \n",
+ " 1777438379597 | \n",
" 0.000013 | \n",
- " 0.000013 | \n",
- " False | \n",
- " 1.11 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " ETH | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " ETHUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " ETHUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 50 | \n",
+ " 4000000 | \n",
+ " ASTER | \n",
+ " ETH | \n",
+ " USDT | \n",
+ " 150 | \n",
+ " 300000 | \n",
+ " 75.00 | \n",
+ " 0.000975 | \n",
"
\n",
" \n",
" | 2 | \n",
- " BTC-USD | \n",
- " BTCUSDT | \n",
- " 0.000975 | \n",
- " 0.000013 | \n",
- " 0.000013 | \n",
- " False | \n",
- " 0.98 | \n",
+ " SOL-USD | \n",
+ " 1777438379597 | \n",
+ " -0.000005 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " SOL | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " SOLUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " SOLUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 50 | \n",
+ " 1000000 | \n",
+ " ASTER | \n",
+ " SOL | \n",
+ " USDT | \n",
+ " 100 | \n",
+ " 50000 | \n",
+ " 66.67 | \n",
+ " 0.000333 | \n",
"
\n",
" \n",
" | 3 | \n",
- " ETH-USD | \n",
- " ETHUSDT | \n",
- " 0.000975 | \n",
+ " DOGE-USD | \n",
+ " 1777438379597 | \n",
" 0.000013 | \n",
- " 0.000013 | \n",
- " False | \n",
- " 0.98 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " DOGE | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " DOGEUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " DOGEUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 50 | \n",
+ " 500000 | \n",
+ " ASTER | \n",
+ " DOGE | \n",
+ " USDT | \n",
+ " 75 | \n",
+ " 80000 | \n",
+ " 60.00 | \n",
+ " 0.000780 | \n",
"
\n",
" \n",
" | 4 | \n",
" BNB-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000013 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " BNB | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
" BNBUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " BNBUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 50 | \n",
+ " 500000 | \n",
+ " ASTER | \n",
+ " BNB | \n",
+ " USDT | \n",
+ " 100 | \n",
+ " 10000 | \n",
+ " 66.67 | \n",
" 0.000867 | \n",
- " 0.000013 | \n",
- " 0.000013 | \n",
- " False | \n",
- " 0.87 | \n",
"
\n",
" \n",
" | 5 | \n",
- " XAU-USD | \n",
- " XAUUSDT | \n",
- " 0.000862 | \n",
- " 0.000023 | \n",
- " 0.000023 | \n",
- " False | \n",
- " 0.86 | \n",
+ " XRP-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000002 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " XRP | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " XRPUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " XRPUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 50 | \n",
+ " 500000 | \n",
+ " ASTER | \n",
+ " XRP | \n",
+ " USDT | \n",
+ " 100 | \n",
+ " 40000 | \n",
+ " 66.67 | \n",
+ " 0.000133 | \n",
"
\n",
" \n",
" | 6 | \n",
- " DOGE-USD | \n",
- " DOGEUSDT | \n",
- " 0.000780 | \n",
- " 0.000013 | \n",
- " 0.000013 | \n",
- " False | \n",
- " 0.78 | \n",
+ " SUI-USD | \n",
+ " 1777438379597 | \n",
+ " -0.000009 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " SUI | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " SUIUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " SUIUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 50 | \n",
+ " 500000 | \n",
+ " ASTER | \n",
+ " SUI | \n",
+ " USDT | \n",
+ " 75 | \n",
+ " 5416 | \n",
+ " 60.00 | \n",
+ " 0.000540 | \n",
"
\n",
" \n",
" | 7 | \n",
- " XMR-USD | \n",
- " XMRUSDT | \n",
- " 0.000733 | \n",
- " 0.000022 | \n",
- " 0.000022 | \n",
- " False | \n",
- " 0.73 | \n",
+ " HYPE-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000013 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " HYPE | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " HYPEUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " HYPEUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 50 | \n",
+ " 1000000 | \n",
+ " ASTER | \n",
+ " HYPE | \n",
+ " USDT | \n",
+ " 300 | \n",
+ " 1000 | \n",
+ " 85.71 | \n",
+ " 0.001114 | \n",
"
\n",
" \n",
" | 8 | \n",
- " XPT-USD | \n",
- " XPTUSDT | \n",
- " 0.000630 | \n",
- " 0.000168 | \n",
- " 0.000168 | \n",
- " False | \n",
- " 0.63 | \n",
+ " ENA-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000013 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " ENA | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " ENAUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " ENAUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 50 | \n",
+ " 500000 | \n",
+ " ASTER | \n",
+ " ENA | \n",
+ " USDT | \n",
+ " 25 | \n",
+ " 30473 | \n",
+ " 33.33 | \n",
+ " 0.000433 | \n",
"
\n",
" \n",
" | 9 | \n",
- " SUI-USD | \n",
- " SUIUSDT | \n",
- " 0.000540 | \n",
- " 0.000009 | \n",
- " -0.000009 | \n",
- " False | \n",
- " 0.54 | \n",
+ " AAVE-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000006 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " AAVE | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " AAVEUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " AAVEUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 50 | \n",
+ " 500000 | \n",
+ " ASTER | \n",
+ " AAVE | \n",
+ " USDT | \n",
+ " 10 | \n",
+ " 115290 | \n",
+ " 16.67 | \n",
+ " 0.000100 | \n",
"
\n",
" \n",
" | 10 | \n",
- " ASTER-USD | \n",
- " ASTERUSDT | \n",
- " 0.000487 | \n",
- " 0.000013 | \n",
- " 0.000013 | \n",
- " False | \n",
- " 0.49 | \n",
+ " TRUMP-USD | \n",
+ " 1777438379597 | \n",
+ " -0.000001 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " TRUMP | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " TRUMPUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " TRUMPUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 25 | \n",
+ " 400000 | \n",
+ " ASTER | \n",
+ " TRUMP | \n",
+ " USDT | \n",
+ " 50 | \n",
+ " 5567 | \n",
+ " 33.33 | \n",
+ " 0.000033 | \n",
"
\n",
" \n",
" | 11 | \n",
- " ENA-USD | \n",
- " ENAUSDT | \n",
- " 0.000433 | \n",
+ " INIT-USD | \n",
+ " 1777438379597 | \n",
" 0.000013 | \n",
- " 0.000013 | \n",
- " False | \n",
- " 0.43 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " INIT | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " INITUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " INITUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 5 | \n",
+ " 100000 | \n",
+ " ASTER | \n",
+ " INIT | \n",
+ " USDT | \n",
+ " 50 | \n",
+ " 5000 | \n",
+ " 9.09 | \n",
+ " 0.000118 | \n",
"
\n",
" \n",
" | 12 | \n",
- " LIT-USD | \n",
- " LITUSDT | \n",
- " 0.000433 | \n",
- " 0.000013 | \n",
- " 0.000013 | \n",
- " False | \n",
- " 0.43 | \n",
+ " XAU-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000023 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " XAU | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " XAUUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " XAUUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 25 | \n",
+ " 2000000 | \n",
+ " ASTER | \n",
+ " XAU | \n",
+ " USDT | \n",
+ " 75 | \n",
+ " 2500 | \n",
+ " 37.50 | \n",
+ " 0.000862 | \n",
"
\n",
" \n",
" | 13 | \n",
- " ZEC-USD | \n",
- " ZECUSDT | \n",
- " 0.000388 | \n",
- " 0.000022 | \n",
- " -0.000022 | \n",
- " False | \n",
- " 0.39 | \n",
+ " XAG-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000003 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " XAG | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " XAGUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " XAGUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 10 | \n",
+ " 1000000 | \n",
+ " ASTER | \n",
+ " XAG | \n",
+ " USDT | \n",
+ " 100 | \n",
+ " 50000 | \n",
+ " 18.18 | \n",
+ " 0.000055 | \n",
"
\n",
" \n",
" | 14 | \n",
- " SOL-USD | \n",
- " SOLUSDT | \n",
- " 0.000333 | \n",
- " 0.000005 | \n",
- " -0.000005 | \n",
- " False | \n",
- " 0.33 | \n",
+ " ZORA-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000013 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " ZORA | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " ZORAUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " ZORAUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 5 | \n",
+ " 100000 | \n",
+ " ASTER | \n",
+ " ZORA | \n",
+ " USDT | \n",
+ " 5 | \n",
+ " 100000 | \n",
+ " 5.00 | \n",
+ " 0.000065 | \n",
"
\n",
" \n",
" | 15 | \n",
" WLFI-USD | \n",
- " WLFIUSDT | \n",
- " 0.000186 | \n",
- " 0.000013 | \n",
+ " 1777438379597 | \n",
" -0.000013 | \n",
- " False | \n",
- " 0.19 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " WLFI | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " WLFIUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " WLFIUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 10 | \n",
+ " 250000 | \n",
+ " ASTER | \n",
+ " WLFI | \n",
+ " USDT | \n",
+ " 25 | \n",
+ " 104869 | \n",
+ " 14.29 | \n",
+ " 0.000186 | \n",
"
\n",
" \n",
" | 16 | \n",
- " XRP-USD | \n",
- " XRPUSDT | \n",
- " 0.000133 | \n",
- " 0.000002 | \n",
- " 0.000002 | \n",
- " False | \n",
- " 0.13 | \n",
+ " ASTER-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000013 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " ASTER | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " ASTERUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " ASTERUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 25 | \n",
+ " 400000 | \n",
+ " ASTER | \n",
+ " ASTER | \n",
+ " USDT | \n",
+ " 75 | \n",
+ " 20000 | \n",
+ " 37.50 | \n",
+ " 0.000487 | \n",
"
\n",
" \n",
" | 17 | \n",
- " INIT-USD | \n",
- " INITUSDT | \n",
- " 0.000118 | \n",
- " 0.000013 | \n",
- " 0.000013 | \n",
- " False | \n",
- " 0.12 | \n",
+ " ZEC-USD | \n",
+ " 1777438379597 | \n",
+ " -0.000022 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " ZEC | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " ZECUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " ZECUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 10 | \n",
+ " 250000 | \n",
+ " ASTER | \n",
+ " ZEC | \n",
+ " USDT | \n",
+ " 75 | \n",
+ " 6250 | \n",
+ " 17.65 | \n",
+ " 0.000388 | \n",
"
\n",
" \n",
" | 18 | \n",
" 4-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000013 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " 4 | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
" 4USDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " 4USDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 5 | \n",
+ " 100000 | \n",
+ " ASTER | \n",
+ " 4 | \n",
+ " USDT | \n",
+ " 50 | \n",
+ " 5000 | \n",
+ " 9.09 | \n",
" 0.000118 | \n",
- " 0.000013 | \n",
- " 0.000013 | \n",
- " False | \n",
- " 0.12 | \n",
"
\n",
" \n",
" | 19 | \n",
- " AAVE-USD | \n",
- " AAVEUSDT | \n",
- " 0.000100 | \n",
- " 0.000006 | \n",
- " 0.000006 | \n",
- " False | \n",
- " 0.10 | \n",
+ " LIT-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000013 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " LIT | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " LITUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " LITUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 25 | \n",
+ " 400000 | \n",
+ " ASTER | \n",
+ " LIT | \n",
+ " USDT | \n",
+ " 50 | \n",
+ " 2500 | \n",
+ " 33.33 | \n",
+ " 0.000433 | \n",
"
\n",
" \n",
" | 20 | \n",
- " ZORA-USD | \n",
- " ZORAUSDT | \n",
- " 0.000065 | \n",
- " 0.000013 | \n",
- " 0.000013 | \n",
- " False | \n",
- " 0.06 | \n",
+ " XMR-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000022 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " XMR | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " XMRUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " XMRUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 25 | \n",
+ " 400000 | \n",
+ " ASTER | \n",
+ " XMR | \n",
+ " USDT | \n",
+ " 50 | \n",
+ " 10000 | \n",
+ " 33.33 | \n",
+ " 0.000733 | \n",
"
\n",
" \n",
" | 21 | \n",
- " XAG-USD | \n",
- " XAGUSDT | \n",
- " 0.000055 | \n",
- " 0.000003 | \n",
- " 0.000003 | \n",
- " False | \n",
- " 0.05 | \n",
+ " XPT-USD | \n",
+ " 1777438379597 | \n",
+ " 0.000168 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " XPT | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " XPTUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " XPTUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 5 | \n",
+ " 1000000 | \n",
+ " ASTER | \n",
+ " XPT | \n",
+ " USDT | \n",
+ " 3 | \n",
+ " 30000 | \n",
+ " 3.75 | \n",
+ " 0.000630 | \n",
"
\n",
" \n",
" | 22 | \n",
- " TRUMP-USD | \n",
- " TRUMPUSDT | \n",
- " 0.000033 | \n",
- " 0.000001 | \n",
- " -0.000001 | \n",
- " False | \n",
- " 0.03 | \n",
+ " CHIP-USD | \n",
+ " 1777438379597 | \n",
+ " -0.000388 | \n",
+ " 2026-04-29 04:52:59.597 | \n",
+ " CHIP | \n",
+ " ACTIVE | \n",
+ " 1.777496e+12 | \n",
+ " CHIPUSDT | \n",
+ " 0 days 00:56:57.938774 | \n",
+ " CHIPUSDT | \n",
+ " ... | \n",
+ " USD | \n",
+ " 5 | \n",
+ " 100000 | \n",
+ " ASTER | \n",
+ " CHIP | \n",
+ " USDT | \n",
+ " 50 | \n",
+ " 5000 | \n",
+ " 9.09 | \n",
+ " 0.003527 | \n",
"
\n",
" \n",
"\n",
+ "23 rows × 30 columns
\n",
""
],
"text/plain": [
- " symbol_ext symbol_ast net_mult_x_net_fr_abs net_funding_rate_abs \\\n",
- "0 CHIP-USD CHIPUSDT 0.003527 0.000388 \n",
- "1 HYPE-USD HYPEUSDT 0.001114 0.000013 \n",
- "2 BTC-USD BTCUSDT 0.000975 0.000013 \n",
- "3 ETH-USD ETHUSDT 0.000975 0.000013 \n",
- "4 BNB-USD BNBUSDT 0.000867 0.000013 \n",
- "5 XAU-USD XAUUSDT 0.000862 0.000023 \n",
- "6 DOGE-USD DOGEUSDT 0.000780 0.000013 \n",
- "7 XMR-USD XMRUSDT 0.000733 0.000022 \n",
- "8 XPT-USD XPTUSDT 0.000630 0.000168 \n",
- "9 SUI-USD SUIUSDT 0.000540 0.000009 \n",
- "10 ASTER-USD ASTERUSDT 0.000487 0.000013 \n",
- "11 ENA-USD ENAUSDT 0.000433 0.000013 \n",
- "12 LIT-USD LITUSDT 0.000433 0.000013 \n",
- "13 ZEC-USD ZECUSDT 0.000388 0.000022 \n",
- "14 SOL-USD SOLUSDT 0.000333 0.000005 \n",
- "15 WLFI-USD WLFIUSDT 0.000186 0.000013 \n",
- "16 XRP-USD XRPUSDT 0.000133 0.000002 \n",
- "17 INIT-USD INITUSDT 0.000118 0.000013 \n",
- "18 4-USD 4USDT 0.000118 0.000013 \n",
- "19 AAVE-USD AAVEUSDT 0.000100 0.000006 \n",
- "20 ZORA-USD ZORAUSDT 0.000065 0.000013 \n",
- "21 XAG-USD XAGUSDT 0.000055 0.000003 \n",
- "22 TRUMP-USD TRUMPUSDT 0.000033 0.000001 \n",
+ " symbol_ext funding_rate_updated_ts_ms_ext funding_rate_ext \\\n",
+ "0 BTC-USD 1777438379597 0.000013 \n",
+ "1 ETH-USD 1777438379597 0.000013 \n",
+ "2 SOL-USD 1777438379597 -0.000005 \n",
+ "3 DOGE-USD 1777438379597 0.000013 \n",
+ "4 BNB-USD 1777438379597 0.000013 \n",
+ "5 XRP-USD 1777438379597 0.000002 \n",
+ "6 SUI-USD 1777438379597 -0.000009 \n",
+ "7 HYPE-USD 1777438379597 0.000013 \n",
+ "8 ENA-USD 1777438379597 0.000013 \n",
+ "9 AAVE-USD 1777438379597 0.000006 \n",
+ "10 TRUMP-USD 1777438379597 -0.000001 \n",
+ "11 INIT-USD 1777438379597 0.000013 \n",
+ "12 XAU-USD 1777438379597 0.000023 \n",
+ "13 XAG-USD 1777438379597 0.000003 \n",
+ "14 ZORA-USD 1777438379597 0.000013 \n",
+ "15 WLFI-USD 1777438379597 -0.000013 \n",
+ "16 ASTER-USD 1777438379597 0.000013 \n",
+ "17 ZEC-USD 1777438379597 -0.000022 \n",
+ "18 4-USD 1777438379597 0.000013 \n",
+ "19 LIT-USD 1777438379597 0.000013 \n",
+ "20 XMR-USD 1777438379597 0.000022 \n",
+ "21 XPT-USD 1777438379597 0.000168 \n",
+ "22 CHIP-USD 1777438379597 -0.000388 \n",
"\n",
- " net_funding_rate next_funding_at_same_time hourly_dollars_per_1k \n",
- "0 -0.000388 False 3.53 \n",
- "1 0.000013 False 1.11 \n",
- "2 0.000013 False 0.98 \n",
- "3 0.000013 False 0.98 \n",
- "4 0.000013 False 0.87 \n",
- "5 0.000023 False 0.86 \n",
- "6 0.000013 False 0.78 \n",
- "7 0.000022 False 0.73 \n",
- "8 0.000168 False 0.63 \n",
- "9 -0.000009 False 0.54 \n",
- "10 0.000013 False 0.49 \n",
- "11 0.000013 False 0.43 \n",
- "12 0.000013 False 0.43 \n",
- "13 -0.000022 False 0.39 \n",
- "14 -0.000005 False 0.33 \n",
- "15 -0.000013 False 0.19 \n",
- "16 0.000002 False 0.13 \n",
- "17 0.000013 False 0.12 \n",
- "18 0.000013 False 0.12 \n",
- "19 0.000006 False 0.10 \n",
- "20 0.000013 False 0.06 \n",
- "21 0.000003 False 0.05 \n",
- "22 -0.000001 False 0.03 "
+ " funding_rate_updated_dt_ext assetName status next_funding_ts_ext \\\n",
+ "0 2026-04-29 04:52:59.597 BTC ACTIVE 1.777496e+12 \n",
+ "1 2026-04-29 04:52:59.597 ETH ACTIVE 1.777496e+12 \n",
+ "2 2026-04-29 04:52:59.597 SOL ACTIVE 1.777496e+12 \n",
+ "3 2026-04-29 04:52:59.597 DOGE ACTIVE 1.777496e+12 \n",
+ "4 2026-04-29 04:52:59.597 BNB ACTIVE 1.777496e+12 \n",
+ "5 2026-04-29 04:52:59.597 XRP ACTIVE 1.777496e+12 \n",
+ "6 2026-04-29 04:52:59.597 SUI ACTIVE 1.777496e+12 \n",
+ "7 2026-04-29 04:52:59.597 HYPE ACTIVE 1.777496e+12 \n",
+ "8 2026-04-29 04:52:59.597 ENA ACTIVE 1.777496e+12 \n",
+ "9 2026-04-29 04:52:59.597 AAVE ACTIVE 1.777496e+12 \n",
+ "10 2026-04-29 04:52:59.597 TRUMP ACTIVE 1.777496e+12 \n",
+ "11 2026-04-29 04:52:59.597 INIT ACTIVE 1.777496e+12 \n",
+ "12 2026-04-29 04:52:59.597 XAU ACTIVE 1.777496e+12 \n",
+ "13 2026-04-29 04:52:59.597 XAG ACTIVE 1.777496e+12 \n",
+ "14 2026-04-29 04:52:59.597 ZORA ACTIVE 1.777496e+12 \n",
+ "15 2026-04-29 04:52:59.597 WLFI ACTIVE 1.777496e+12 \n",
+ "16 2026-04-29 04:52:59.597 ASTER ACTIVE 1.777496e+12 \n",
+ "17 2026-04-29 04:52:59.597 ZEC ACTIVE 1.777496e+12 \n",
+ "18 2026-04-29 04:52:59.597 4 ACTIVE 1.777496e+12 \n",
+ "19 2026-04-29 04:52:59.597 LIT ACTIVE 1.777496e+12 \n",
+ "20 2026-04-29 04:52:59.597 XMR ACTIVE 1.777496e+12 \n",
+ "21 2026-04-29 04:52:59.597 XPT ACTIVE 1.777496e+12 \n",
+ "22 2026-04-29 04:52:59.597 CHIP ACTIVE 1.777496e+12 \n",
+ "\n",
+ " USDT_Symbol time_delta_to_next_funding_ext symbol_ast ... rh_asset_ext \\\n",
+ "0 BTCUSDT 0 days 00:56:57.938774 BTCUSDT ... USD \n",
+ "1 ETHUSDT 0 days 00:56:57.938774 ETHUSDT ... USD \n",
+ "2 SOLUSDT 0 days 00:56:57.938774 SOLUSDT ... USD \n",
+ "3 DOGEUSDT 0 days 00:56:57.938774 DOGEUSDT ... USD \n",
+ "4 BNBUSDT 0 days 00:56:57.938774 BNBUSDT ... USD \n",
+ "5 XRPUSDT 0 days 00:56:57.938774 XRPUSDT ... USD \n",
+ "6 SUIUSDT 0 days 00:56:57.938774 SUIUSDT ... USD \n",
+ "7 HYPEUSDT 0 days 00:56:57.938774 HYPEUSDT ... USD \n",
+ "8 ENAUSDT 0 days 00:56:57.938774 ENAUSDT ... USD \n",
+ "9 AAVEUSDT 0 days 00:56:57.938774 AAVEUSDT ... USD \n",
+ "10 TRUMPUSDT 0 days 00:56:57.938774 TRUMPUSDT ... USD \n",
+ "11 INITUSDT 0 days 00:56:57.938774 INITUSDT ... USD \n",
+ "12 XAUUSDT 0 days 00:56:57.938774 XAUUSDT ... USD \n",
+ "13 XAGUSDT 0 days 00:56:57.938774 XAGUSDT ... USD \n",
+ "14 ZORAUSDT 0 days 00:56:57.938774 ZORAUSDT ... USD \n",
+ "15 WLFIUSDT 0 days 00:56:57.938774 WLFIUSDT ... USD \n",
+ "16 ASTERUSDT 0 days 00:56:57.938774 ASTERUSDT ... USD \n",
+ "17 ZECUSDT 0 days 00:56:57.938774 ZECUSDT ... USD \n",
+ "18 4USDT 0 days 00:56:57.938774 4USDT ... USD \n",
+ "19 LITUSDT 0 days 00:56:57.938774 LITUSDT ... USD \n",
+ "20 XMRUSDT 0 days 00:56:57.938774 XMRUSDT ... USD \n",
+ "21 XPTUSDT 0 days 00:56:57.938774 XPTUSDT ... USD \n",
+ "22 CHIPUSDT 0 days 00:56:57.938774 CHIPUSDT ... USD \n",
+ "\n",
+ " max_leverage_ext max_notional_ext exchange_ast lh_asset_ast \\\n",
+ "0 50 4000000 ASTER BTC \n",
+ "1 50 4000000 ASTER ETH \n",
+ "2 50 1000000 ASTER SOL \n",
+ "3 50 500000 ASTER DOGE \n",
+ "4 50 500000 ASTER BNB \n",
+ "5 50 500000 ASTER XRP \n",
+ "6 50 500000 ASTER SUI \n",
+ "7 50 1000000 ASTER HYPE \n",
+ "8 50 500000 ASTER ENA \n",
+ "9 50 500000 ASTER AAVE \n",
+ "10 25 400000 ASTER TRUMP \n",
+ "11 5 100000 ASTER INIT \n",
+ "12 25 2000000 ASTER XAU \n",
+ "13 10 1000000 ASTER XAG \n",
+ "14 5 100000 ASTER ZORA \n",
+ "15 10 250000 ASTER WLFI \n",
+ "16 25 400000 ASTER ASTER \n",
+ "17 10 250000 ASTER ZEC \n",
+ "18 5 100000 ASTER 4 \n",
+ "19 25 400000 ASTER LIT \n",
+ "20 25 400000 ASTER XMR \n",
+ "21 5 1000000 ASTER XPT \n",
+ "22 5 100000 ASTER CHIP \n",
+ "\n",
+ " rh_asset_ast max_leverage_ast max_notional_ast net_mult \\\n",
+ "0 USDT 150 300000 75.00 \n",
+ "1 USDT 150 300000 75.00 \n",
+ "2 USDT 100 50000 66.67 \n",
+ "3 USDT 75 80000 60.00 \n",
+ "4 USDT 100 10000 66.67 \n",
+ "5 USDT 100 40000 66.67 \n",
+ "6 USDT 75 5416 60.00 \n",
+ "7 USDT 300 1000 85.71 \n",
+ "8 USDT 25 30473 33.33 \n",
+ "9 USDT 10 115290 16.67 \n",
+ "10 USDT 50 5567 33.33 \n",
+ "11 USDT 50 5000 9.09 \n",
+ "12 USDT 75 2500 37.50 \n",
+ "13 USDT 100 50000 18.18 \n",
+ "14 USDT 5 100000 5.00 \n",
+ "15 USDT 25 104869 14.29 \n",
+ "16 USDT 75 20000 37.50 \n",
+ "17 USDT 75 6250 17.65 \n",
+ "18 USDT 50 5000 9.09 \n",
+ "19 USDT 50 2500 33.33 \n",
+ "20 USDT 50 10000 33.33 \n",
+ "21 USDT 3 30000 3.75 \n",
+ "22 USDT 50 5000 9.09 \n",
+ "\n",
+ " net_mult_x_net_fr_abs \n",
+ "0 0.000975 \n",
+ "1 0.000975 \n",
+ "2 0.000333 \n",
+ "3 0.000780 \n",
+ "4 0.000867 \n",
+ "5 0.000133 \n",
+ "6 0.000540 \n",
+ "7 0.001114 \n",
+ "8 0.000433 \n",
+ "9 0.000100 \n",
+ "10 0.000033 \n",
+ "11 0.000118 \n",
+ "12 0.000862 \n",
+ "13 0.000055 \n",
+ "14 0.000065 \n",
+ "15 0.000186 \n",
+ "16 0.000487 \n",
+ "17 0.000388 \n",
+ "18 0.000118 \n",
+ "19 0.000433 \n",
+ "20 0.000733 \n",
+ "21 0.000630 \n",
+ "22 0.003527 \n",
+ "\n",
+ "[23 rows x 30 columns]"
]
},
- "execution_count": 39,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "df_best_fr_rate"
+ "df_comb_current_fr"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "f5ade993",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'symbol_ast': 'CHIPUSDT', 'symbol_extended': 'CHIP-USD'}"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df_best_fr_rate = df_comb_current_fr[['symbol_ext','symbol_ast','max_leverage_ext','max_leverage_ast','lh_asset_ext','lh_asset_ast','rh_asset_ext','rh_asset_ast','net_mult_x_net_fr_abs','net_funding_rate_abs','net_funding_rate','next_funding_at_same_time']].sort_values(by='net_mult_x_net_fr_abs', ascending=False).reset_index(drop=True)\n",
+ "df_best_fr_rate['hourly_dollars_per_1k'] = df_best_fr_rate['net_mult_x_net_fr_abs'] * 1000\n",
+ "df_best_fr_rate['hourly_dollars_per_1k'] = df_best_fr_rate['hourly_dollars_per_1k'].round(2)\n",
+ "\n",
+ "best_next_funding_pair = {'symbol_ast':df_best_fr_rate['symbol_ast'][0],'symbol_extended':df_best_fr_rate['symbol_ext'][0]}\n",
+ "best_next_funding_pair"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "6f893d09",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ASTER = structs.Perpetual_Exchange(\n",
+ " mult = int(df_best_fr_rate['max_leverage_ast'][0]),\n",
+ " lh_asset = df_best_fr_rate['lh_asset_ast'][0],\n",
+ " rh_asset = df_best_fr_rate['rh_asset_ast'][0],\n",
+ " symbol_asset_separator = '',\n",
+ ")"
]
},
{
"cell_type": "code",
"execution_count": null,
- "id": "73db21ae",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'mult': 50,\n",
+ " 'lh_asset': 'CHIP',\n",
+ " 'rh_asset': 'USDT',\n",
+ " 'symbol_asset_separator': ''}"
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "asdict(obj=ASTER)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4e40e668",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "id": "1925a6e5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "config_update = {\n",
+ " # 'Config': {\n",
+ " # 'Loop_Sleep_Sec': 0.00,\n",
+ " # 'Min_Time_To_Funding_Minutes': 60,\n",
+ " # 'Min_Fund_Rate_Pct_To_Trade': 0.001,\n",
+ " # 'Price_Worsener_Extend': 0.0,\n",
+ " # 'Price_Worsener_Aster': 0.0,\n",
+ " # 'Switch_To_Taker_Seconds': 1,\n",
+ " # },\n",
+ " 'Logging': {\n",
+ " 'Log_Summary_Each_Loop': True,\n",
+ " # 'Print_Summary_Each_Loop': False,\n",
+ " },\n",
+ " 'Overrides': {\n",
+ " # 'Allow_Ordering_Aster': True,\n",
+ " # 'Allow_Ordering_Extend': True,\n",
+ " 'Allow_Symbol_Change': True,\n",
+ " # 'Flip_Side_For_Testing': False,\n",
+ " # 'Flatten_Open_Positions': False,\n",
+ " },\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open(file='algo_config.json', mode='r', encoding='utf-8') as f: \n",
+ " Algo_Config: dict = json.load(fp=f)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "id": "1d52bea1",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'Updated_Timestamp': 1777494015477,\n",
+ " 'Config': {'Loop_Sleep_Sec': 0.0,\n",
+ " 'Max_Order_Over_Notional_Ratio': 1.05,\n",
+ " 'Max_Target_Notional': 0.0,\n",
+ " 'Min_Time_To_Funding_Minutes': 60,\n",
+ " 'Min_Fund_Rate_Pct_To_Trade': 0.0,\n",
+ " 'Price_Worsener_Aster': 0.0,\n",
+ " 'Price_Worsener_Extend': -0.1,\n",
+ " 'Switch_To_Taker_Seconds': 1,\n",
+ " 'Target_Open_Cash_Position': 10},\n",
+ " 'Logging': {'Log_Summary_Each_Loop': False, 'Print_Summary_Each_Loop': False},\n",
+ " 'Overrides': {'Allow_Symbol_Change': False}}"
+ ]
+ },
+ "execution_count": 34,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "Algo_Config"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a54cf89f",
"metadata": {},
"outputs": [],
"source": []
@@ -849,6 +2008,7 @@
{
"cell_type": "code",
"execution_count": null,
+ "id": "04c38156",
"metadata": {},
"outputs": [],
"source": []
diff --git a/engine_best_funding_rate.py b/engine_best_funding_rate.py
index dd639b3..22ffd41 100644
--- a/engine_best_funding_rate.py
+++ b/engine_best_funding_rate.py
@@ -4,53 +4,27 @@ import logging
import os
import time
import traceback
-from dataclasses import dataclass, field
+from dataclasses import asdict
from datetime import datetime
from typing import AsyncContextManager
-
+import modules.structs as structs
import pandas as pd
import requests
import valkey
from dotenv import load_dotenv
-
-# from sqlalchemy.ext.asyncio import create_async_engine
-
-### Structs ###
-@dataclass(kw_only=False)
-class Asset_Leverage:
- exchange: str
- lh_asset: str
- rh_asset: str
- max_leverage: int
- max_notional: float
- # max_leverage_notional: list = field(default_factory=list)
+import modules.manual_leverage as leverage
### MANUAL LEVERAGE DATA ###
-LEVERAGE_BY_EXCH: list[Asset_Leverage] = [
- Asset_Leverage('ASTER', 'BTC' , 'USDT', 150, 300_000), Asset_Leverage('EXTEND', 'BTC' , 'USD', 50, 4_000_000),
- Asset_Leverage('ASTER', 'ETH' , 'USDT', 150, 300_000), Asset_Leverage('EXTEND', 'ETH' , 'USD', 50, 4_000_000),
- Asset_Leverage('ASTER', 'LIT' , 'USDT', 50 , 2_500 ), Asset_Leverage('EXTEND', 'LIT' , 'USD', 25, 400_000 ),
- Asset_Leverage('ASTER', 'CHIP' , 'USDT', 50 , 5_000 ), Asset_Leverage('EXTEND', 'CHIP' , 'USD', 5 , 100_000 ),
- Asset_Leverage('ASTER', 'XAG' , 'USDT', 100, 50_000 ), Asset_Leverage('EXTEND', 'XAG' , 'USD', 10, 1_000_000),
- Asset_Leverage('ASTER', '4' , 'USDT', 50 , 5_000 ), Asset_Leverage('EXTEND', '4' , 'USD', 5 , 100_000 ),
- Asset_Leverage('ASTER', 'XPT' , 'USDT', 3 , 30_000 ), Asset_Leverage('EXTEND', 'XPT' , 'USD', 5 , 1_000_000),
- Asset_Leverage('ASTER', 'XMR' , 'USDT', 50 , 10_000 ), Asset_Leverage('EXTEND', 'XMR' , 'USD', 25, 400_000 ),
- Asset_Leverage('ASTER', 'WLFI' , 'USDT', 25 , 104_869), Asset_Leverage('EXTEND', 'WLFI' , 'USD', 10, 250_000 ),
- Asset_Leverage('ASTER', 'TRUMP', 'USDT', 50 , 5_567 ), Asset_Leverage('EXTEND', 'TRUMP', 'USD', 25, 400_000 ),
- Asset_Leverage('ASTER', 'INIT' , 'USDT', 50 , 5_000 ), Asset_Leverage('EXTEND', 'INIT' , 'USD', 5 , 100_000 ),
- Asset_Leverage('ASTER', 'ZORA' , 'USDT', 5 , 100_000), Asset_Leverage('EXTEND', 'ZORA' , 'USD', 5 , 100_000 ),
- Asset_Leverage('ASTER', 'ZEC' , 'USDT', 75 , 6_250 ), Asset_Leverage('EXTEND', 'ZEC' , 'USD', 10, 250_000 ),
-]
-df_leverage_by_exch = pd.DataFrame(LEVERAGE_BY_EXCH)
+df_leverage_by_exch = pd.DataFrame(data=leverage.LEVERAGE_BY_EXCH)
### Database ###
# CON: AsyncContextManager | None = None
-VAL_KEY = None
-VK_OUT = 'fr_engine_best_fund_rate_output'
+VAL_KEY: valkey.Valkey
+VK_OUT: str = 'fr_engine_best_fund_rate_output'
### Logging ###
load_dotenv()
-LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Engine_BFR.log'
+LOG_FILEPATH: str = f'{os.getenv(key="LOGS_PATH")}/Fund_Rate_Engine_BFR.log'
### CONSTANTS ###
LOOP_SLEEP_SEC: int = 5
@@ -65,9 +39,9 @@ Mkt_Volume_Last_Refresh_TS_ms: int
def get_extended_markets_info() -> pd.DataFrame:
global Mkt_Info_Last_Refresh_TS_ms
- r = json.loads(requests.get('https://api.starknet.extended.exchange/api/v1/info/markets').text)
+ r: dict = json.loads(s=requests.get(url='https://api.starknet.extended.exchange/api/v1/info/markets').text)
- df = pd.DataFrame(r['data'])
+ df: pd.DataFrame = pd.DataFrame(data=r['data'])
df['funding_rate'] = df['marketStats'].apply(lambda x: x.get('fundingRate',{}))
df['funding_rate_ts'] = df['marketStats'].apply(lambda x: x.get('nextFundingRate',{}))
df['min_order_size'] = df['tradingConfig'].apply(lambda x: x.get('minOrderSize',{}))
@@ -81,9 +55,9 @@ def get_extended_markets_info() -> pd.DataFrame:
return df
def load_aster_current_fr() -> pd.DataFrame:
- df = pd.DataFrame(json.loads(VAL_KEY.get('fund_rate_aster_all')))
+ df = pd.DataFrame(data=json.loads(s=VAL_KEY.get(name='fund_rate_aster_all'))) # ty:ignore[invalid-argument-type]
- df = df[['s','E','r','T']].rename({'s':'symbol','E':'funding_rate_updated_ts_ms','r':'funding_rate','T':'next_funding_ts'}, axis=1)
+ df: pd.DataFrame = df[['s','E','r','T']].rename({'s':'symbol','E':'funding_rate_updated_ts_ms','r':'funding_rate','T':'next_funding_ts'}, axis=1)
df['funding_rate_updated_dt'] = pd.to_datetime(df['funding_rate_updated_ts_ms'], unit='ms')
df['funding_rate'] = df['funding_rate'].astype(float)
df['time_delta_to_next_funding'] = pd.to_datetime(df['next_funding_ts'], unit='ms') - pd.Timestamp.now()
@@ -91,17 +65,17 @@ def load_aster_current_fr() -> pd.DataFrame:
return df
def load_extend_current_fr(df_mkt_stats: pd.DataFrame) -> pd.DataFrame:
- df = pd.DataFrame(json.loads(VAL_KEY.get('fund_rate_extended_all')))
+ df = pd.DataFrame(data=json.loads(s=VAL_KEY.get(name='fund_rate_extended_all'))) # ty:ignore[invalid-argument-type]
- df = df[['symbol','funding_rate_updated_ts_ms','funding_rate']]
+ df: pd.DataFrame = df[['symbol','funding_rate_updated_ts_ms','funding_rate']]
df['funding_rate_updated_dt'] = pd.to_datetime(df['funding_rate_updated_ts_ms'], unit='ms')
df['funding_rate'] = df['funding_rate'].astype(float)
- df = df.merge(df_mkt_stats[['name','assetName','status', 'funding_rate_ts','max_leverage']].rename({'name':'symbol','funding_rate_ts':'next_funding_ts'}, axis=1), on='symbol', how='left')
- df = df.loc[df['status']=='ACTIVE',:]
+ df: pd.DataFrame = df.merge(df_mkt_stats[['name','assetName','status', 'funding_rate_ts']].rename({'name':'symbol','funding_rate_ts':'next_funding_ts'}, axis=1), on='symbol', how='left')
+ df: pd.DataFrame = df.loc[df['status']=='ACTIVE',:]
df['USDT_Symbol'] = df['assetName'] + 'USDT'
- df['time_delta_to_next_funding'] = pd.to_datetime(df['next_funding_ts'], unit='ms') - pd.Timestamp.now()
+ df['time_delta_to_next_funding'] = pd.to_datetime(arg=df['next_funding_ts'], unit='ms') - pd.Timestamp.now()
return df
@@ -124,25 +98,40 @@ async def loop() -> None:
df_comb_fr['net_funding_rate_abs'] = df_comb_fr['net_funding_rate'].abs()
### NET MULT ###
- df_comb_fr = df_comb_fr.merge(df_leverage_by_exch.loc[df_leverage_by_exch['exchange']=='EXTEND'], left_on='assetName', right_on='lh_asset').merge(df_leverage_by_exch.loc[df_leverage_by_exch['exchange']=='ASTER'], left_on='assetName', right_on='lh_asset', suffixes=('_ext', '_ast'))
+ df_comb_fr = df_comb_fr.merge(right=df_leverage_by_exch.loc[df_leverage_by_exch['exchange']=='EXTEND'], left_on='assetName', right_on='lh_asset').merge(df_leverage_by_exch.loc[df_leverage_by_exch['exchange']=='ASTER'], left_on='assetName', right_on='lh_asset', suffixes=('_ext', '_ast'))
df_comb_fr['net_mult'] = 1 / ( ( 0.5 / df_comb_fr['max_leverage_ext'] ) + ( 0.5 / df_comb_fr['max_leverage_ast'] ) )
df_comb_fr['net_mult'] = df_comb_fr['net_mult'].round(2)
df_comb_fr['net_mult_x_net_fr_abs'] = df_comb_fr['net_funding_rate_abs'] * df_comb_fr['net_mult']
- df_best_fr_rate = df_comb_fr[['symbol_ext','symbol_ast','net_mult_x_net_fr_abs','net_funding_rate_abs','net_funding_rate','next_funding_at_same_time']].sort_values(by='net_mult_x_net_fr_abs', ascending=False).reset_index(drop=True)
- best_next_funding_pair = {'symbol_aster':df_best_fr_rate['symbol_ast'][0],'symbol_extended':df_best_fr_rate['symbol_ext'][0]}
+ df_best_fr_rate: pd.DataFrame = df_comb_fr[['symbol_ext','symbol_ast','max_leverage_ext','max_leverage_ast','lh_asset_ext','lh_asset_ast','rh_asset_ext','rh_asset_ast','net_mult_x_net_fr_abs','net_funding_rate_abs','net_funding_rate','next_funding_at_same_time']].sort_values(by='net_mult_x_net_fr_abs', ascending=False).reset_index(drop=True)
+
+ ASTER = structs.Perpetual_Exchange(
+ mult = int(df_best_fr_rate['max_leverage_ast'][0]),
+ lh_asset = df_best_fr_rate['lh_asset_ast'][0],
+ rh_asset = df_best_fr_rate['rh_asset_ast'][0],
+ symbol_asset_separator = '',
+ )
+
+ EXTEND = structs.Perpetual_Exchange(
+ mult = int(df_best_fr_rate['max_leverage_ext'][0]),
+ lh_asset = df_best_fr_rate['lh_asset_ext'][0],
+ rh_asset = df_best_fr_rate['rh_asset_ext'][0],
+ symbol_asset_separator = '-',
+ )
+
+ best_next_funding_pair: dict[str, dict] = {'ASTER': asdict(obj=ASTER), 'EXTEND': asdict(obj=EXTEND)}
- VAL_KEY.set(VK_OUT, json.dumps(best_next_funding_pair))
- print(best_next_funding_pair)
+ VAL_KEY.set(name=VK_OUT, value=json.dumps(obj=best_next_funding_pair))
+ # print(best_next_funding_pair)
time.sleep(LOOP_SLEEP_SEC)
continue
except valkey.exceptions.ConnectionError as e:
logging.info(f"Could not connect to Valkey. Please check the publish server is up; {e}")
except KeyboardInterrupt:
- logging.info('ORCHESTRATOR SHUTTING DOWN...')
+ logging.info('SHUTTING DOWN...')
except Exception as e:
logging.error(traceback.format_exc())
- logging.critical(f'*** ORCHESTRATOR CRASHED: {e}')
+ logging.critical(f'*** CRASHED: {e}')
### STARTUP ###
@@ -156,9 +145,9 @@ async def main() -> None:
await loop()
if __name__ == '__main__':
- START_TIME = round(datetime.now().timestamp()*1000)
+ START_TIME = round(number=datetime.now().timestamp()*1000)
- logging.info(f'Log FilePath: {LOG_FILEPATH}')
+ logging.info(msg=f'Log FilePath: {LOG_FILEPATH}')
logging.basicConfig(
force=True,
@@ -167,6 +156,6 @@ if __name__ == '__main__':
format='%(asctime)s - %(levelname)s - %(message)s',
filemode='w'
)
- logging.info(f"STARTED: {START_TIME}")
+ logging.info(msg=f"STARTED: {START_TIME}")
asyncio.run(main())
\ No newline at end of file
diff --git a/engine_orders.py b/engine_orders.py
new file mode 100644
index 0000000..ea9fd70
--- /dev/null
+++ b/engine_orders.py
@@ -0,0 +1,119 @@
+import asyncio
+import json
+import logging
+import os
+import traceback
+from datetime import datetime
+import time
+import valkey
+from dotenv import load_dotenv
+import modules.utils as utils
+import multiprocessing as mp
+import threading
+from typing import Any
+
+'''
+TO DO:
+- Insert config changes into database for analysis later / general tracking
+'''
+
+LOCAL_ORDERS: list = []
+
+### Database ###
+VK_POS_ASTER: str = 'fr_aster_user_positions'
+VK_IN: str = 'fr_engine_orders_input'
+VK_OUT: str = 'fr_engine_orders_output'
+VAL_KEY: valkey.Valkey = valkey.Valkey(host='localhost', port=6379, db=0, decode_responses=True)
+
+### Logging ###
+load_dotenv()
+LOG_FILEPATH: str = f'{os.getenv("LOGS_PATH")}/Fund_Rate_Engine_Orders.log'
+
+
+# async def work_order(order: dict) -> dict:
+# LOCAL_ORDERS.append(order)
+# while LOCAL_ORDERS:
+# print(f'working order...{order}')
+# time.sleep(5)
+# print(f'{order}...order posted/replaced/etc')
+
+# VAL_KEY.set(name=VK_OUT, value=json.dumps(order))
+# return order
+
+def receive_orders():
+ global LOCAL_ORDERS
+
+ VK_PUBSUB: valkey.client.PubSub = VAL_KEY.pubsub()
+ VK_PUBSUB.subscribe(VK_IN)
+ for message in VK_PUBSUB.listen():
+ if message['type'] == 'message':
+ ts_arrival: int = round(number=datetime.now().timestamp()*1000)
+
+ # Receive Update Msg from PubSub
+ data: dict = json.loads(s=message['data'])
+ print(data)
+
+# def receive_notional_updates():
+# VK_PUBSUB: valkey.client.PubSub = VAL_KEY.pubsub()
+# VK_PUBSUB.subscribe(VK_IN)
+# for message in VK_PUBSUB.listen():
+# if message['type'] == 'message':
+# ts_arrival: int = round(number=datetime.now().timestamp()*1000)
+
+# # Receive Update Msg from PubSub
+# data: dict = json.loads(s=message['data'])
+# print(data)
+# LOCAL_ORDERS.append(data)
+
+async def main() -> None:
+ global LOCAL_ORDERS
+
+ try:
+ thread = threading.Thread(target=receive_orders)
+ thread.daemon = True
+ # thread.start()
+ thread.join()
+
+
+ # while True:
+ # print(f"Subscribed to '{VK_IN}'. Waiting for messages...")
+ # print(f'LOCAL_ORDERS: {LOCAL_ORDERS}')
+
+
+ # aster_position_updates: Any = VAL_KEY.get(name=VK_POS_ASTER)
+ # aster_position_updates: list = json.loads(s=aster_position_updates) if aster_position_updates is not None else []
+
+ # print(f'Aster Pos Updates: {aster_position_updates}')
+
+
+ # time.sleep(5)
+
+
+
+
+
+
+ except valkey.exceptions.ConnectionError as e:
+ logging.info(msg=f"Could not connect to Valkey. Please check the publish server is up; {e}")
+ except KeyboardInterrupt:
+ logging.info(msg='ORCHESTRATOR SHUTTING DOWN...')
+ except Exception as e:
+ logging.error(msg=traceback.format_exc())
+ logging.critical(msg=f'*** ORCHESTRATOR CRASHED: {e}')
+
+
+if __name__ == '__main__':
+ START_TIME: int = round(number=datetime.now().timestamp()*1000)
+
+ logging.info(msg=f'Log FilePath: {LOG_FILEPATH}')
+
+ logging.basicConfig(
+ force=True,
+ filename=LOG_FILEPATH,
+ level=logging.INFO,
+ format='%(asctime)s - %(levelname)s - %(message)s',
+ filemode='w'
+ )
+ logging.info(msg=f"STARTED: {START_TIME}")
+
+ asyncio.run(main())
\ No newline at end of file
diff --git a/extended.ipynb b/extended.ipynb
index 66ca28b..7a65fe8 100644
--- a/extended.ipynb
+++ b/extended.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 2,
"id": "6c70a8c3",
"metadata": {},
"outputs": [],
@@ -27,7 +27,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 3,
"id": "ff971ca9",
"metadata": {},
"outputs": [],
@@ -49,19 +49,10 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 4,
"id": "fc2c6d2b",
"metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "Unclosed client session\n",
- "client_session: \n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"client, trading_client = await extend_auth.create_auth_account_and_trading_client()"
]
@@ -146,7 +137,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 5,
"id": "8dd8aa73",
"metadata": {},
"outputs": [],
@@ -156,23 +147,44 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 7,
+ "id": "50bb753e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "x10.utils.http.WrappedApiResponse[List[PositionModel]]"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "type(d)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
"id": "ade14392",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "{'status': 'OK', 'data': [], 'error': None, 'pagination': None}"
+ "list"
]
},
- "execution_count": 8,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "dict(d)"
+ "type(dict(d).get('data'))"
]
},
{
diff --git a/main.py b/main.py
index ee42aa8..7baea79 100644
--- a/main.py
+++ b/main.py
@@ -1,3 +1,5 @@
+from x10.utils.http import WrappedApiResponse
+from x10.perpetual.trading_client.trading_client import PerpetualTradingClient
import asyncio
import json
import logging
@@ -8,7 +10,7 @@ import traceback
from datetime import datetime, timezone
from decimal import ROUND_DOWN, Decimal
from typing import AsyncContextManager
-
+from dataclasses import dataclass, asdict
from typing import Any
import numpy as np
import pandas as pd
@@ -19,24 +21,24 @@ import valkey
from dotenv import load_dotenv
from sqlalchemy import text
from sqlalchemy.ext.asyncio import create_async_engine
-from x10.models.order import OrderSide
+from x10.models.order import OrderSide, PlacedOrderModel
import modules.utils as utils
import modules.aster_auth as aster_auth
import modules.extended_auth as extend_auth
import modules.structs as structs
-### Database ###
-EXTEND_CLIENT = None
-CON: AsyncContextManager | None = None
-VAL_KEY = None
+### Clients ###
+EXTEND_CLIENT: PerpetualTradingClient
+CON: AsyncContextManager
+VAL_KEY: valkey.Valkey
### Logging ###
load_dotenv()
-LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Algo.log'
+LOG_FILEPATH: str = f'{os.getenv(key="LOGS_PATH")}/Fund_Rate_Algo.log'
### Algo Config ###
-ALGO_CONFIG: structs.Algo_Config | None = None
+ALGO_CONFIG: structs.Algo_Config
MIN_TIME_TO_FUNDING: int
### EXCHANGES ###
@@ -56,7 +58,6 @@ EXTEND = structs.Perpetual_Exchange(
### GLOBALS ###
Last_Aster_Fill_Time_Ts: float = 0.00
Just_Rejected_Or_Expired: bool = False
-Best_Symbol_by_Exchange: dict = {}
# ASTER_MULT = 150
# EXTEND_MULT = 50
@@ -122,7 +123,7 @@ async def get_aster_collateral():
r = await aster_auth.post_authenticated_url(fut_acct_balances)
ASTER_AVAIL_COLLATERAL = float([d for d in r if d.get('asset')==ASTER.rh_asset][0].get('availableBalance'))
-async def get_aster_notional_position(resp: dict | None = None):
+async def get_aster_notional_position(resp: list | None = None):
global ASTER_NOTIONAL_OBJ
global ASTER_NOTIONAL_POSITION
global ASTER_UNREALIZED_PNL
@@ -131,14 +132,14 @@ async def get_aster_notional_position(resp: dict | None = None):
previous_notional_obj = ASTER_NOTIONAL_OBJ
if not resp:
- fut_acct_positionRisk = {
+ fut_acct_positionRisk: dict = {
"url": "/fapi/v3/positionRisk",
"method": "GET",
"params": {
'symbol': ASTER.symbol,
}
}
- resp = await aster_auth.post_authenticated_url(fut_acct_positionRisk)
+ resp: list = await aster_auth.post_authenticated_url(req=fut_acct_positionRisk) # ty:ignore[invalid-assignment]
d = [x for x in resp if x.get('symbol', None) == ASTER.symbol][0]
d['timestamp_arrival'] = round(datetime.now().timestamp()*1000)
else:
@@ -168,8 +169,8 @@ async def get_aster_notional_position(resp: dict | None = None):
if abs(ASTER_NOTIONAL_POSITION) > ALGO_CONFIG.Config.Max_Target_Notional*ALGO_CONFIG.Config.Max_Order_Over_Notional_Ratio:
logging.info(f'BAD NOTIONAL - ASTER CHANGE: {previous_notional_position} -> {ASTER_NOTIONAL_POSITION}; UR PNL: {ASTER_UNREALIZED_PNL}; MULT: {ASTER.mult}; d: {d}; resp: {resp}')
await kill_algo()
- # if ASTER_NOTIONAL_POSITION != previous_notional_position:
- logging.info(f'ASTER NOTIONAL CHANGE: {previous_notional_position:.2f} -> {ASTER_NOTIONAL_POSITION:.2f}; UR PNL: {ASTER_UNREALIZED_PNL:.2f}; MULT: {ASTER.mult:.0f}; resp: {bool(resp)}')
+ if ASTER_NOTIONAL_POSITION != previous_notional_position:
+ logging.info(f'ASTER NOTIONAL CHANGE: {previous_notional_position:.2f} -> {ASTER_NOTIONAL_POSITION:.2f}; UR PNL: {ASTER_UNREALIZED_PNL:.2f}; MULT: {ASTER.mult:.0f}; resp: {bool(resp)}')
async def get_extend_collateral():
global EXTEND_AVAIL_COLLATERAL
@@ -177,7 +178,7 @@ async def get_extend_collateral():
get_bals = dict(dict(await EXTEND_CLIENT.account.get_balance()).get('data', {}))
EXTEND_AVAIL_COLLATERAL = get_bals.get('available_for_trade', 0) if get_bals.get('collateral_name', None)==EXTEND.rh_asset else 0
-async def get_extend_notional(resp: dict | None = None):
+async def get_extend_notional(resp: list | None = None):
global EXTEND_NOTIONAL_OBJ
global EXTEND_NOTIONAL_POSITION
global EXTEND_UNREALIZED_PNL
@@ -238,15 +239,15 @@ async def get_extend_notional(resp: dict | None = None):
async def get_aster_exch_info():
global ASTER_MIN_ORDER_QTY
- fut_acct_exchangeInfo = {
+ fut_acct_exchangeInfo: dict = {
"url": "/fapi/v3/exchangeInfo",
"method": "GET",
"params": {}
}
- r = await aster_auth.post_authenticated_url(fut_acct_exchangeInfo)
- s = r['symbols']
- d = [d for d in s if d.get('symbol', None) == 'ETHUSDT'][0]
- f = [f for f in d['filters'] if f.get('filterType', None) == 'LOT_SIZE'][0]
+ r: dict = await aster_auth.post_authenticated_url(fut_acct_exchangeInfo) # ty:ignore[invalid-assignment]
+ s: list = r['symbols']
+ d: dict = [d for d in s if d.get('symbol', None) == 'ETHUSDT'][0]
+ f: dict = [f for f in d['filters'] if f.get('filterType', None) == 'LOT_SIZE'][0]
ASTER_MIN_ORDER_QTY = float(f['minQty'])
async def get_extend_exch_info():
@@ -290,7 +291,7 @@ async def run_algo():
global EXTEND_OPEN_ORDERS
global Last_Aster_Fill_Time_Ts
global Just_Rejected_Or_Expired
- global Best_Symbol_by_Exchange
+ # global Best_Symbol_by_Exchange
try:
while True:
@@ -298,20 +299,22 @@ async def run_algo():
# print('__________Start___________')
### ALGO CONIFG ###
- ALGO_CONFIG = json.loads(VAL_KEY.get('fr_orchestrator_output'))
+ ALGO_CONFIG = json.loads(VAL_KEY.get('fr_orchestrator_output')) # ty:ignore[invalid-argument-type]
ALGO_CONFIG = structs.Algo_Config(**ALGO_CONFIG)
ALGO_CONFIG.Config.Max_Target_Notional = float(min([ASTER.mult, EXTEND.mult]) * ALGO_CONFIG.Config.Target_Open_Cash_Position)
MIN_TIME_TO_FUNDING = ALGO_CONFIG.Config.Min_Time_To_Funding_Minutes * 60 * 1000
### Load Data from Feedhandlers ###
- Best_Symbol_by_Exchange = json.loads(VAL_KEY.get('fr_engine_best_fund_rate_output'))
+ best_symbol_by_exchange: dict = json.loads(s=VAL_KEY.get(name='fr_engine_best_fund_rate_output')) # ty:ignore[invalid-argument-type]
+ best_symbol_by_exchange_aster = structs.Perpetual_Exchange(**best_symbol_by_exchange['ASTER'])
+ best_symbol_by_exchange_extend = structs.Perpetual_Exchange(**best_symbol_by_exchange['EXTEND'])
- ASTER_FUND_RATE_DICT = json.loads(VAL_KEY.get('fund_rate_aster'))
- EXTENDED_FUND_RATE_DICT = json.loads(VAL_KEY.get('fund_rate_extended'))
+ ASTER_FUND_RATE_DICT = json.loads(VAL_KEY.get('fund_rate_aster')) # ty:ignore[invalid-argument-type]
+ EXTENDED_FUND_RATE_DICT = json.loads(VAL_KEY.get('fund_rate_extended')) # ty:ignore[invalid-argument-type]
- ASTER_FUND_RATE = float(ASTER_FUND_RATE_DICT.get('funding_rate', 0))
- EXTEND_FUND_RATE = float(EXTENDED_FUND_RATE_DICT.get('funding_rate', 0))
+ ASTER_FUND_RATE: float = float(ASTER_FUND_RATE_DICT.get('funding_rate', 0))
+ EXTEND_FUND_RATE: float = float(EXTENDED_FUND_RATE_DICT.get('funding_rate', 0))
if ALGO_CONFIG.Overrides.Flip_Side_For_Testing:
ASTER_FUND_RATE = ASTER_FUND_RATE * -1
@@ -321,26 +324,26 @@ async def run_algo():
EXTEND_FUND_RATE_TIME = float(EXTENDED_FUND_RATE_DICT.get('next_funding_time_ts_ms', 0))
EXTEND_FUND_RATE_TIME = max([EXTEND_FUND_RATE_TIME, 0])
- ASTER_TICKER_DICT = json.loads(VAL_KEY.get('fut_ticker_aster'))
- EXTENDED_TICKER_DICT = json.loads(VAL_KEY.get('fut_ticker_extended'))
+ ASTER_TICKER_DICT = json.loads(VAL_KEY.get('fut_ticker_aster')) # ty:ignore[invalid-argument-type]
+ EXTENDED_TICKER_DICT = json.loads(VAL_KEY.get('fut_ticker_extended')) # ty:ignore[invalid-argument-type]
### Manage Local Collateral Using Updates from WS ###
ASTER_WS_COLLATERAL_UPDATES = VAL_KEY.get('fr_aster_user_positions')
- ASTER_WS_COLLATERAL_UPDATES = json.loads(ASTER_WS_COLLATERAL_UPDATES) if ASTER_WS_COLLATERAL_UPDATES is not None else []
+ ASTER_WS_COLLATERAL_UPDATES = json.loads(ASTER_WS_COLLATERAL_UPDATES) if ASTER_WS_COLLATERAL_UPDATES is not None else [] # ty:ignore[invalid-argument-type]
EXTEND_WS_COLLATERAL_UPDATES = VAL_KEY.get('fr_extended_user_positions')
- EXTEND_WS_COLLATERAL_UPDATES = json.loads(EXTEND_WS_COLLATERAL_UPDATES) if EXTEND_WS_COLLATERAL_UPDATES is not None else []
+ EXTEND_WS_COLLATERAL_UPDATES = json.loads(EXTEND_WS_COLLATERAL_UPDATES) if EXTEND_WS_COLLATERAL_UPDATES is not None else [] # ty:ignore[invalid-argument-type]
### Manage Local Notionals Using Updates from WS ###
- ASTER_WS_POS_UPDATES = VAL_KEY.get('fr_aster_user_positions')
- ASTER_WS_POS_UPDATES = json.loads(ASTER_WS_POS_UPDATES) if ASTER_WS_POS_UPDATES is not None else []
- EXTEND_WS_POS_UPDATES = VAL_KEY.get('fr_extended_user_positions')
- EXTEND_WS_POS_UPDATES = json.loads(EXTEND_WS_POS_UPDATES) if EXTEND_WS_POS_UPDATES is not None else []
+ ASTER_WS_POS_UPDATES: Any = VAL_KEY.get(name='fr_aster_user_positions')
+ ASTER_WS_POS_UPDATES: list = json.loads(s=ASTER_WS_POS_UPDATES) if ASTER_WS_POS_UPDATES is not None else []
+ EXTEND_WS_POS_UPDATES: Any = VAL_KEY.get('fr_extended_user_positions')
+ EXTEND_WS_POS_UPDATES: list = json.loads(EXTEND_WS_POS_UPDATES) if EXTEND_WS_POS_UPDATES is not None else []
### Manage Local Orders Using Updates from WS ###
- ASTER_WS_ORDER_UPDATES = VAL_KEY.get('fr_aster_user_orders')
- ASTER_WS_ORDER_UPDATES = json.loads(ASTER_WS_ORDER_UPDATES) if ASTER_WS_ORDER_UPDATES is not None else []
- EXTEND_WS_ORDER_UPDATES = VAL_KEY.get('fr_extended_user_orders')
- EXTEND_WS_ORDER_UPDATES = json.loads(EXTEND_WS_ORDER_UPDATES) if EXTEND_WS_ORDER_UPDATES is not None else []
+ ASTER_WS_ORDER_UPDATES: Any = VAL_KEY.get('fr_aster_user_orders')
+ ASTER_WS_ORDER_UPDATES: list = json.loads(ASTER_WS_ORDER_UPDATES) if ASTER_WS_ORDER_UPDATES is not None else []
+ EXTEND_WS_ORDER_UPDATES: Any = VAL_KEY.get('fr_extended_user_orders')
+ EXTEND_WS_ORDER_UPDATES: list = json.loads(EXTEND_WS_ORDER_UPDATES) if EXTEND_WS_ORDER_UPDATES is not None else []
# CHECK NO MORE THAN 1 OPEN ORDER ON EITHER EXCHANGE #
if len(ASTER_OPEN_ORDERS) > 1 or len(EXTEND_OPEN_ORDERS) > 1:
@@ -409,9 +412,9 @@ async def run_algo():
order_update = [dict(ou) for ou in EXTEND_WS_ORDER_UPDATES if dict(ou).get('order_id', None) == order_id]
if len(order_update) > 0:
- order_update = order_update[0]
- order_update_status = order_update.get('status')
- order_status_changed = order_orig_status.upper() != order_update_status.upper()
+ order_update: dict = order_update[0]
+ order_update_status: str = order_update['status']
+ order_status_changed: bool = order_orig_status.upper() != order_update_status.upper()
if order_status_changed:
logging.info(f'EXTEND ORDER ({order_id}): {order_orig_status} -> {order_update_status}')
@@ -436,14 +439,18 @@ async def run_algo():
logging.critical(f'EXTEND ORDER STATUS CHG TO UNEXPECTED VALUE, KILLING... ({order_id}): {order_orig_status} -> {order_update_status}')
- # if Best_Symbol_by_Exchange['symbol_aster'] != ASTER.symbol:
- # if abs( ASTER_NOTIONAL_POSITION ) > 0 or abs( EXTEND_NOTIONAL_POSITION ) > 0:
+ # if (best_symbol_by_exchange_aster.symbol != ASTER.symbol) or (best_symbol_by_exchange_extend.symbol != EXTEND.symbol):
+ # if abs( ASTER_NOTIONAL_POSITION ) > 0.00 or abs( EXTEND_NOTIONAL_POSITION ) > 0.00:
# print('Symbol switch - Flattening Positions')
# ALGO_CONFIG.Overrides.Flatten_Open_Positions = True
# else:
- # print(f'Balances Flattened - Updating to Trade New Symbol: ASTER.symbol -> {Best_Symbol_by_Exchange['symbol_aster']}')
- # # ASTER.symbol = Best_Symbol_by_Exchange['symbol_aster']
- # # EXTEND.symbol = Best_Symbol_by_Exchange['symbol_extended']
+ # print('Balances Flattened - Updating to Trade New Symbols:')
+ # print(f' ASTER.symbol -> {best_symbol_by_exchange_aster.symbol}')
+ # print(f' EXTEND.symbol -> {best_symbol_by_exchange_extend.symbol}')
+ # ALGO_CONFIG.Overrides.Flatten_Open_Positions = False
+ # ASTER = best_symbol_by_exchange_aster
+ # EXTEND = best_symbol_by_exchange_extend
+ # VAL_KEY.set(name='fr_algo_working_symbol', value=json.dumps(obj={'ASTER': asdict(obj=ASTER), 'EXTEND': asdict(obj=EXTEND)}))
@@ -542,7 +549,7 @@ async def run_algo():
Currently_Hedged = Hedge_Ratio < 1.00
def print_summary(use_logging: bool = False):
- OUT: print | logging.info = logging.info if use_logging else print
+ OUT: Any = logging.info if use_logging else print
OUT(f'''
LOOP SLEEP (SEC): {ALGO_CONFIG.Config.Loop_Sleep_Sec}
@@ -566,6 +573,7 @@ async def run_algo():
FEES : TAKER: {0.0002:.2%}; Expected Alpha w Taker = {Expected_Alpha_Net_FR-0.0002:.6f} [w/o FR: {Expected_Alpha_w_Taker:.6f}]
HEDGE: {Hedge_Ratio:.2f}% <= {1:.2f}%: {Currently_Hedged} [{EXTEND_NOTIONAL_POSITION:.2f} / {ASTER_NOTIONAL_POSITION:.2f}]
+ MKT : Aster: {ASTER.symbol} (best: {best_symbol_by_exchange_aster.symbol}) | Extend: {ASTER.symbol} (best: {best_symbol_by_exchange_extend.symbol})
--- ASTER OPEN ORDERS ---
{ASTER_OPEN_ORDERS}
@@ -583,8 +591,8 @@ async def run_algo():
### ROUTES ###
- # MIN_EXPECTED_ALPHA_TO_TRADE = 0.0001
- MIN_EXPECTED_ALPHA_TO_TRADE = -0.000001
+ MIN_EXPECTED_ALPHA_TO_TRADE = 0.0001
+ # MIN_EXPECTED_ALPHA_TO_TRADE = -0.000001
# ALPHA RATIO CHECK
if not( ( Expected_Alpha_Net_FR_w_Taker > MIN_EXPECTED_ALPHA_TO_TRADE ) or ( ASTER_OPEN_ORDERS or EXTEND_OPEN_ORDERS or Just_Rejected_Or_Expired or ALGO_CONFIG.Overrides.Flatten_Open_Positions) ):
if ALGO_CONFIG.Logging.Print_Summary_Each_Loop:
@@ -614,7 +622,7 @@ async def run_algo():
logging.info('ASTER OPEN ORDER NO PX CHG; SKIPPING')
place_order = False
else:
- cancel_order = {
+ cancel_order: dict = {
"url": "/fapi/v3/order",
"method": "DELETE",
"params": {
@@ -622,7 +630,7 @@ async def run_algo():
'orderId': open_order_id,
}
}
- cr = await aster_auth.post_authenticated_url(cancel_order)
+ cr: dict = await aster_auth.post_authenticated_url(cancel_order) # ty:ignore[invalid-assignment]
if cr.get('status', None) == 'CANCELED':
ASTER_OPEN_ORDERS.pop(0)
place_order = True
@@ -637,7 +645,7 @@ async def run_algo():
logging.info('ASTER TRYNG TO ORDER 0.00 BASE QTY, SKIPPING')
if place_order:
- price = Decimal(str(price)).quantize(Decimal(str(0.01)), rounding=ROUND_DOWN)
+ price: Decimal = Decimal(str(price)).quantize(Decimal(str(0.01)), rounding=ROUND_DOWN)
post_order = {
"url": "/fapi/v3/order",
"method": "POST",
@@ -650,7 +658,7 @@ async def run_algo():
'price': price,
}
}
- order_resp = await aster_auth.post_authenticated_url(post_order)
+ order_resp: dict = await aster_auth.post_authenticated_url(post_order) # ty:ignore[invalid-assignment]
if order_resp.get('orderId', None) is not None:
order_resp['original_price'] = price
order_resp['order_status'] = order_resp['status']
@@ -672,14 +680,14 @@ async def run_algo():
Time_Since_Last_Aster_Fill_ms = ( datetime.now().timestamp()*1000 ) - Last_Aster_Fill_Time_Ts
if Time_Since_Last_Aster_Fill_ms > ( 1000 * ALGO_CONFIG.Config.Switch_To_Taker_Seconds ): # Change to allow taker orders if its been more than x seconds
post_only = False
- price = EXTEND_TOB_PX - ALGO_CONFIG.Config.Price_Worsener_Extend if side == 'BUY' else EXTEND_TOB_PX + ALGO_CONFIG.Config.Price_Worsener_Extend
+ price: Decimal = Decimal(value=str(EXTEND_TOB_PX - ALGO_CONFIG.Config.Price_Worsener_Extend if side == 'BUY' else EXTEND_TOB_PX + ALGO_CONFIG.Config.Price_Worsener_Extend)).quantize(Decimal(str(0.1)), rounding=ROUND_DOWN)
else:
post_only = True
- price = EXTEND_TOB_PX
+ price: Decimal = Decimal(value=str(EXTEND_TOB_PX)).quantize(Decimal(str(0.1)), rounding=ROUND_DOWN)
symbol = EXTEND.symbol
side = OrderSide.BUY if EXTEND_TGT_TAIL_BASE_QTY > 0.00 else OrderSide.SELL
- qty = Decimal(str(abs(EXTEND_TGT_TAIL_BASE_QTY)))
+ qty = Decimal(value=str(abs(EXTEND_TGT_TAIL_BASE_QTY)))
if abs( ( float(EXTEND_TGT_TAIL_BASE_QTY)*float(price) ) + EXTEND_NOTIONAL_POSITION ) > ALGO_CONFIG.Config.Max_Target_Notional*ALGO_CONFIG.Config.Max_Order_Over_Notional_Ratio:
logging.info(f'TRYING TO ORDER OVER MAX NOTIOANL - EXTEND: {EXTEND_NOTIONAL_POSITION:.2f} + {float(EXTEND_TGT_TAIL_BASE_QTY)*float(price):.2f} (qty: {float(EXTEND_TGT_TAIL_BASE_QTY):.2f}; px: {float(price):.2f})')
@@ -703,13 +711,13 @@ async def run_algo():
open_order_px = 0
place_order = True
if place_order:
- price = Decimal(str(price)).quantize(Decimal(str(0.1)), rounding=ROUND_DOWN)
+ price: Decimal = Decimal(str(price)).quantize(Decimal(str(0.1)), rounding=ROUND_DOWN)
if round(open_order_px - float(price), 2) == 0.00:
logging.info('EXTEND OPEN ORDER NO PX CHG; SKIPPING')
else:
try:
taker_fee = taker_fee=Decimal("0.00000") if post_only else Decimal("0.00025")
- order_resp = await EXTEND_CLIENT.place_order(
+ order_resp: WrappedApiResponse[PlacedOrderModel] = await EXTEND_CLIENT.place_order(
market_name=symbol,
amount_of_synthetic=qty,
price=price,
@@ -780,16 +788,14 @@ async def main():
VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0, decode_responses=True)
engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
- with open('algo_config.json', 'r', encoding='utf-8') as file:
+ with open('algo_config.json', mode='r', encoding='utf-8') as file:
ALGO_CONFIG = json.load(file)
ALGO_CONFIG = structs.Algo_Config(**ALGO_CONFIG)
-
- # with open('algo_config.json', 'r', encoding='utf-8') as file:
- # ALGO_CONFIG = json.load(file, object_hook=lambda d: structs.Algo_Config(**d))
-
+
ALGO_CONFIG.Config.Max_Target_Notional = float(min([ASTER.mult, EXTEND.mult]) * ALGO_CONFIG.Config.Target_Open_Cash_Position)
- VAL_KEY.set('fr_orchestrator_output', json.dumps(ALGO_CONFIG.model_dump()))
+ VAL_KEY.set(name='fr_orchestrator_output', value=json.dumps(obj=ALGO_CONFIG.model_dump()))
+ VAL_KEY.set(name='fr_algo_working_symbol', value=json.dumps(obj={'ASTER': asdict(obj=ASTER), 'EXTEND': asdict(obj=EXTEND)}))
async with engine.connect() as CON:
### ASTER SETUP ###
diff --git a/modules/aster_auth.py b/modules/aster_auth.py
index 3e3a312..ac47717 100644
--- a/modules/aster_auth.py
+++ b/modules/aster_auth.py
@@ -3,50 +3,51 @@ from dotenv import load_dotenv
import os
import time
import threading
-import urllib
+from urllib import parse
from eth_account.messages import encode_typed_data
from eth_account import Account
+from eth_account.datastructures import SignedMessage
load_dotenv()
-user = os.getenv("RABBY_WALLET")
-signer = os.getenv("ASTER_API_WALLET_ADDRESS")
-private_key = os.getenv("ASTER_API_PRIVATE_KEY")
+USER: str = os.getenv(key="RABBY_WALLET") # ty:ignore[invalid-assignment]
+SIGNER: str = os.getenv(key="ASTER_API_WALLET_ADDRESS") # ty:ignore[invalid-assignment]
+PRIVATE_KEY: str = os.getenv(key="ASTER_API_PRIVATE_KEY") # ty:ignore[invalid-assignment]
_last_ms = 0
_i = 0
-async def post_authenticated_url(req: dict) -> dict:
- typed_data = {
- "types": {
- "EIP712Domain": [
- {"name": "name", "type": "string"},
- {"name": "version", "type": "string"},
- {"name": "chainId", "type": "uint256"},
- {"name": "verifyingContract", "type": "address"}
- ],
- "Message": [
- { "name": "msg", "type": "string" }
- ]
- },
- "primaryType": "Message",
- "domain": {
- "name": "AsterSignTransaction",
- "version": "1",
- "chainId": 1666,
- "verifyingContract": "0x0000000000000000000000000000000000000000"
- },
- "message": {
- "msg": "$msg"
+async def post_authenticated_url(req: dict) -> list | dict:
+ typed_data: dict = {
+ "types": {
+ "EIP712Domain": [
+ {"name": "name", "type": "string"},
+ {"name": "version", "type": "string"},
+ {"name": "chainId", "type": "uint256"},
+ {"name": "verifyingContract", "type": "address"}
+ ],
+ "Message": [
+ { "name": "msg", "type": "string" },
+ ]
+ },
+ "primaryType": "Message",
+ "domain": {
+ "name": "AsterSignTransaction",
+ "version": "1",
+ "chainId": 1666,
+ "verifyingContract": "0x0000000000000000000000000000000000000000"
+ },
+ "message": {
+ "msg": "$msg"
+ }
}
- }
- headers = {
+
+ headers: dict[str, str] = {
'Content-Type': 'application/x-www-form-urlencoded',
'User-Agent': 'PythonApp/1.0'
}
- host = 'https://fapi.asterdex.com'
-
+ host: str = 'https://fapi.asterdex.com'
def get_nonce():
_nonce_lock = threading.Lock()
@@ -71,38 +72,34 @@ async def post_authenticated_url(req: dict) -> dict:
)
return Account.sign_message(message, private_key=private_key)
- async def send_by_url(req):
+ async def send_by_url(req) -> list | dict: # ty:ignore[invalid-return-type]
my_dict = req['params'].copy()
url = host + req['url']
method = req['method']
- my_dict['nonce'] = str(get_nonce())
- my_dict['user'] = user
- my_dict['signer'] = signer
+ my_dict['nonce'] = str(object=get_nonce())
+ my_dict['user'] = USER
+ my_dict['signer'] = SIGNER
- param = urllib.parse.urlencode(my_dict)
+ param: str = parse.urlencode(query=my_dict)
typed_data['message']['msg'] = param
- signed = sign_typed_data(typed_data, private_key)
+ signed: SignedMessage = sign_typed_data(data=typed_data, private_key=PRIVATE_KEY)
- full_url = url + '?' + param + '&signature=' + signed.signature.hex()
- # print(full_url)
+ full_url: str = url + '?' + param + '&signature=' + signed.signature.hex()
if method == 'GET':
- res = requests.get(full_url, headers=headers)
+ res: requests.Response = requests.get(url=full_url, headers=headers)
# print(res.status_code, res.text)
return res.json()
elif method == 'POST':
- res = requests.post(full_url, headers=headers)
- # print(res.status_code, res.text)
+ res: requests.Response = requests.post(url=full_url, headers=headers)
return res.json()
elif method == 'PUT':
- res = requests.put(full_url, headers=headers)
- # print(res.status_code, res.text)
+ res: requests.Response = requests.put(url=full_url, headers=headers)
return res.json()
elif method == 'DELETE':
- res = requests.delete(full_url, headers=headers)
- # print(res.status_code, res.text)
+ res: requests.Response = requests.delete(url=full_url, headers=headers)
return res.json()
return await send_by_url(req=req)
diff --git a/modules/manual_leverage.py b/modules/manual_leverage.py
new file mode 100644
index 0000000..62950ca
--- /dev/null
+++ b/modules/manual_leverage.py
@@ -0,0 +1,38 @@
+from dataclasses import dataclass
+
+@dataclass(kw_only=False)
+class Asset_Leverage:
+ exchange: str
+ lh_asset: str
+ rh_asset: str
+ max_leverage: int
+ max_notional: float
+ # max_leverage_notional: list = field(default_factory=list)
+
+### MANUAL LEVERAGE DATA ###
+LEVERAGE_BY_EXCH: list[Asset_Leverage] = [
+ Asset_Leverage('ASTER', 'ASTER', 'USDT', 75 , 20_000 ), Asset_Leverage('EXTEND', 'ASTER', 'USD', 25, 400_000 ),
+ Asset_Leverage('ASTER', 'AAVE' , 'USDT', 10 , 115_290), Asset_Leverage('EXTEND', 'AAVE' , 'USD', 50, 500_000 ),
+ Asset_Leverage('ASTER', '4' , 'USDT', 50 , 5_000 ), Asset_Leverage('EXTEND', '4' , 'USD', 5 , 100_000 ),
+ Asset_Leverage('ASTER', 'BNB' , 'USDT', 100, 10_000 ), Asset_Leverage('EXTEND', 'BNB' , 'USD', 50, 500_000 ),
+ Asset_Leverage('ASTER', 'BTC' , 'USDT', 150, 300_000), Asset_Leverage('EXTEND', 'BTC' , 'USD', 50, 4_000_000),
+ Asset_Leverage('ASTER', 'CHIP' , 'USDT', 50 , 5_000 ), Asset_Leverage('EXTEND', 'CHIP' , 'USD', 5 , 100_000 ),
+ Asset_Leverage('ASTER', 'CLU' , 'USDT', 50 , 10_000 ), Asset_Leverage('EXTEND', 'WTI' , 'USD', 5 , 1_000_000),
+ Asset_Leverage('ASTER', 'DOGE' , 'USDT', 75 , 80_000 ), Asset_Leverage('EXTEND', 'DOGE' , 'USD', 50, 500_000 ),
+ Asset_Leverage('ASTER', 'ENA' , 'USDT', 25 , 30_473 ), Asset_Leverage('EXTEND', 'ENA' , 'USD', 50, 500_000 ),
+ Asset_Leverage('ASTER', 'ETH' , 'USDT', 150, 300_000), Asset_Leverage('EXTEND', 'ETH' , 'USD', 50, 4_000_000),
+ Asset_Leverage('ASTER', 'HYPE' , 'USDT', 300, 1_000 ), Asset_Leverage('EXTEND', 'HYPE' , 'USD', 50, 1_000_000),
+ Asset_Leverage('ASTER', 'INIT' , 'USDT', 50 , 5_000 ), Asset_Leverage('EXTEND', 'INIT' , 'USD', 5 , 100_000 ),
+ Asset_Leverage('ASTER', 'LIT' , 'USDT', 50 , 2_500 ), Asset_Leverage('EXTEND', 'LIT' , 'USD', 25, 400_000 ),
+ Asset_Leverage('ASTER', 'SOL' , 'USDT', 100, 50_000 ), Asset_Leverage('EXTEND', 'SOL' , 'USD', 50, 1_000_000),
+ Asset_Leverage('ASTER', 'SUI' , 'USDT', 75 , 5_416 ), Asset_Leverage('EXTEND', 'SUI' , 'USD', 50, 500_000 ),
+ Asset_Leverage('ASTER', 'TRUMP', 'USDT', 50 , 5_567 ), Asset_Leverage('EXTEND', 'TRUMP', 'USD', 25, 400_000 ),
+ Asset_Leverage('ASTER', 'WLFI' , 'USDT', 25 , 104_869), Asset_Leverage('EXTEND', 'WLFI' , 'USD', 10, 250_000 ),
+ Asset_Leverage('ASTER', 'XAG' , 'USDT', 100, 50_000 ), Asset_Leverage('EXTEND', 'XAG' , 'USD', 10, 1_000_000),
+ Asset_Leverage('ASTER', 'XAU' , 'USDT', 75 , 2_500 ), Asset_Leverage('EXTEND', 'XAU' , 'USD', 25, 2_000_000),
+ Asset_Leverage('ASTER', 'XMR' , 'USDT', 50 , 10_000 ), Asset_Leverage('EXTEND', 'XMR' , 'USD', 25, 400_000 ),
+ Asset_Leverage('ASTER', 'XPT' , 'USDT', 3 , 30_000 ), Asset_Leverage('EXTEND', 'XPT' , 'USD', 5 , 1_000_000),
+ Asset_Leverage('ASTER', 'XRP' , 'USDT', 100, 40_000 ), Asset_Leverage('EXTEND', 'XRP' , 'USD', 50, 500_000 ),
+ Asset_Leverage('ASTER', 'ZEC' , 'USDT', 75 , 6_250 ), Asset_Leverage('EXTEND', 'ZEC' , 'USD', 10, 250_000 ),
+ Asset_Leverage('ASTER', 'ZORA' , 'USDT', 5 , 100_000), Asset_Leverage('EXTEND', 'ZORA' , 'USD', 5 , 100_000 ),
+]
\ No newline at end of file
diff --git a/modules/structs.py b/modules/structs.py
index 88d31d1..278bad0 100644
--- a/modules/structs.py
+++ b/modules/structs.py
@@ -9,9 +9,11 @@ from pydantic import BaseModel
class Algo_Config_Overrides(BaseModel):
Allow_Ordering_Aster: bool
Allow_Ordering_Extend: bool
+ Allow_Symbol_Change: bool
Flatten_Open_Positions: bool
Flip_Side_For_Testing: bool
+
# @dataclass(kw_only=True)
class Algo_Config_Config(BaseModel):
Loop_Sleep_Sec: int
@@ -51,8 +53,8 @@ class Valkey_Stream:
none_fill: Any = None
async def update(self):
- r = self.client.get(self.channel)
- self.data = json.loads(r) if r is not None else self.none_fill
+ r: str = self.client.get(name=self.channel) # ty:ignore[invalid-assignment]
+ self.data = json.loads(s=r) if r is not None else self.none_fill
@dataclass(kw_only=True)
@@ -162,40 +164,40 @@ class Perpetual_Exchange:
rh_asset: str
symbol_asset_separator: str = ''
- async def update(self):
- await self.Collateral_Updates.update()
- await self.Order_Updates.update()
- await self.Position_Updates.update()
- await self.Funding_Rate.update()
+ # async def update(self):
+ # await self.Collateral_Updates.update()
+ # await self.Order_Updates.update()
+ # await self.Position_Updates.update()
+ # await self.Funding_Rate.update()
def __post_init__(self) -> None:
self.symbol = f'{self.lh_asset.upper()}{self.symbol_asset_separator}{self.rh_asset.upper()}'
-@dataclass(kw_only=True)
-class Aster(Perpetual_Exchange):
- name: str = 'Aster'
- lh_asset: str = 'ETH'
- rh_asset: str = 'USDT'
+# @dataclass(kw_only=True)
+# class Aster(Perpetual_Exchange):
+# name: str = 'Aster'
+# lh_asset: str = 'ETH'
+# rh_asset: str = 'USDT'
- def __post_init__(self):
- super().__post_init__()
- self.Order_Updates = Order_Updates(Valkey=Valkey_Stream(channel = 'fr_aster_user_balances', none_fills = []))
- self.Collateral_Updates = Collateral(Valkey=Valkey_Stream(channel = 'fr_aster_user_orders', none_fills = []))
- self.Position_Updates = Open_Positions(Valkey=Valkey_Stream(channel = 'fr_aster_user_positions', none_fills = []))
- self.Funding_Rate - Funding_Rate(Valkey=Valkey_Stream(channel = 'fund_rate_aster', none_fills = None))
+# def __post_init__(self):
+# super().__post_init__()
+# self.Order_Updates = Order_Updates(Valkey=Valkey_Stream(channel = 'fr_aster_user_balances', none_fills = []))
+# self.Collateral_Updates = Collateral(Valkey=Valkey_Stream(channel = 'fr_aster_user_orders', none_fills = []))
+# self.Position_Updates = Open_Positions(Valkey=Valkey_Stream(channel = 'fr_aster_user_positions', none_fills = []))
+# self.Funding_Rate - Funding_Rate(Valkey=Valkey_Stream(channel = 'fund_rate_aster', none_fills = None))
-@dataclass(kw_only=True)
-class Extend(Perpetual_Exchange):
- name: str = 'Extended'
- lh_asset: str = 'ETH'
- rh_asset: str = 'USD'
- symbol_asset_separator: str = '-'
+# @dataclass(kw_only=True)
+# class Extend(Perpetual_Exchange):
+# name: str = 'Extended'
+# lh_asset: str = 'ETH'
+# rh_asset: str = 'USD'
+# symbol_asset_separator: str = '-'
- def __post_init__(self):
- super().__post_init__()
- self.Order_Updates = Order_Updates(Valkey=Valkey_Stream(channel = 'fr_aster_user_balances', none_fills = []))
- self.Collateral_Updates = Collateral(Valkey=Valkey_Stream(channel = 'fr_aster_user_orders', none_fills = []))
- self.Position_Updates = Open_Positions(Valkey=Valkey_Stream(channel = 'fr_aster_user_positions', none_fills = []))
- self.Funding_Rate - Funding_Rate(Valkey=Valkey_Stream(channel = 'fund_rate_aster', none_fills = None))
+# def __post_init__(self):
+# super().__post_init__()
+# self.Order_Updates = Order_Updates(Valkey=Valkey_Stream(channel = 'fr_aster_user_balances', none_fills = []))
+# self.Collateral_Updates = Collateral(Valkey=Valkey_Stream(channel = 'fr_aster_user_orders', none_fills = []))
+# self.Position_Updates = Open_Positions(Valkey=Valkey_Stream(channel = 'fr_aster_user_positions', none_fills = []))
+# self.Funding_Rate - Funding_Rate(Valkey=Valkey_Stream(channel = 'fund_rate_aster', none_fills = None))
diff --git a/modules/utils.py b/modules/utils.py
index 3398e37..598d2ff 100644
--- a/modules/utils.py
+++ b/modules/utils.py
@@ -5,7 +5,7 @@ import os
load_dotenv()
-def upsert_list_of_dicts_by_id(list_of_dicts, new_dict, id='id', seq_check_field: str | None = None):
+def upsert_list_of_dicts_by_id(list_of_dicts, new_dict, id='id', seq_check_field: str | None = None) -> list[dict]:
for index, item in enumerate(list_of_dicts):
if item.get(id) == new_dict.get(id):
if seq_check_field is not None:
@@ -25,4 +25,19 @@ def send_tg_alert(msg: str):
url = f'https://api.telegram.org/bot{token}/sendMessage?chat_id={chat_id}'
response = requests.post(url, json={'text': str(str(msg)[:250])}, timeout=10)
- return response.json()
\ No newline at end of file
+ return response.json()
+
+def rec_set_dict(orig_dict, new_dict, allow_new_fields: bool = False) -> dict:
+ for k, v in new_dict.items():
+ if isinstance(v, dict):
+ rec_set_dict(orig_dict=orig_dict[k], new_dict=v)
+ else:
+ if allow_new_fields:
+ orig_dict[k] = v
+ else:
+ if orig_dict.get(k, None) is not None:
+ orig_dict[k] = v
+ else:
+ logging.warning(msg=f'rec_set_dict: encountered nonexistent key: "{k}"; skipping')
+
+ return orig_dict
\ No newline at end of file
diff --git a/ws_aster.py b/ws_aster.py
index 6ce296e..06c0e40 100644
--- a/ws_aster.py
+++ b/ws_aster.py
@@ -5,7 +5,7 @@ import socket
import traceback
from datetime import datetime
from typing import AsyncContextManager
-
+import time
import numpy as np
import pandas as pd
import requests.packages.urllib3.util.connection as urllib3_cn # type: ignore
@@ -26,35 +26,79 @@ urllib3_cn.allowed_gai_family = allowed_gai_family
### Database ###
USE_DB: bool = True
USE_VK: bool = True
+CON: AsyncContextManager
+VAL_KEY: valkey.Valkey
VK_FUND_RATE = 'fund_rate_aster'
VK_TICKER = 'fut_ticker_aster'
VK_LAST_TRADE = 'fut_last_trade_aster'
-CON: AsyncContextManager | None = None
-VAL_KEY = None
### Logging ###
load_dotenv()
-LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Aster.log'
+LOG_FILEPATH: str = f'{os.getenv(key="LOGS_PATH")}/Fund_Rate_Aster.log'
### CONSTANTS ###
SYMBOL: str = 'ETHUSDT'
+
STREAM_MARKPRICE: str = f'{SYMBOL.lower()}@markPrice@1s'
STREAM_BOOKTICKER: str = f'{SYMBOL.lower()}@bookTicker'
STREAM_TRADES: str = f'{SYMBOL.lower()}@aggTrade'
### Globals ###
-WSS_URL = f"wss://fstream.asterdex.com/stream?streams={STREAM_MARKPRICE}/{STREAM_BOOKTICKER}/{STREAM_TRADES}"
+WSS_URL: str = f"wss://fstream.asterdex.com/stream?streams={STREAM_MARKPRICE}/{STREAM_BOOKTICKER}/{STREAM_TRADES}"
+ALLOW_SYMBOL_CHG: bool = False
+
+### Funcs ###
+async def subscribe_streams(websocket, streams: list[str]) -> None:
+ logging.info(f'Trying to sub: {streams}')
+ msg = {
+ "method": "SUBSCRIBE",
+ "params": streams,
+ "id": int(round(number=datetime.now().timestamp()*1000))
+ }
+ await websocket.send(json.dumps(obj=msg))
+ logging.info(f'Success sub: {streams}')
+
+
+async def unsubscribe_streams(websocket, streams: list[str]) -> None:
+ logging.info(f'Trying to unsub: {streams}')
+ msg = {
+ "method": "UNSUBSCRIBE",
+ "params": streams,
+ "id": int(round(number=datetime.now().timestamp()*1000))
+ }
+ await websocket.send(json.dumps(obj=msg))
+ logging.info(f'Success unsub: {streams}')
+
### Websocket ###
async def ws_stream():
- async for websocket in websockets.connect(WSS_URL):
- logging.info(f"Connected to {WSS_URL}")
+ global SYMBOL
+ global STREAM_MARKPRICE
+ global STREAM_BOOKTICKER
+ global STREAM_TRADES
+ async for websocket in websockets.connect(WSS_URL, ping_interval=5):
+ logging.info(msg=f"Connected to {WSS_URL}")
try:
async for message in websocket:
+ ### Update Symbol if Algo Outputs Change ###
+ if ALLOW_SYMBOL_CHG:
+ best_symbol_by_exchange: dict = json.loads(s=VAL_KEY.get(name='fr_algo_working_symbol')) # ty:ignore[invalid-argument-type]
+ best_symbol: str = f'{best_symbol_by_exchange['ASTER']['lh_asset']}{best_symbol_by_exchange['ASTER']['rh_asset']}'
+ if best_symbol != SYMBOL:
+ logging.info(f'Symbol Change: {SYMBOL} -> {best_symbol}')
+ SYMBOL = best_symbol
+ await unsubscribe_streams(websocket = websocket, streams=[STREAM_MARKPRICE,STREAM_BOOKTICKER,STREAM_TRADES])
+
+ STREAM_MARKPRICE = f'{SYMBOL.lower()}@markPrice@1s'
+ STREAM_BOOKTICKER = f'{SYMBOL.lower()}@bookTicker'
+ STREAM_TRADES = f'{SYMBOL.lower()}@aggTrade'
+ await subscribe_streams(websocket = websocket, streams=[STREAM_MARKPRICE,STREAM_BOOKTICKER,STREAM_TRADES])
+ continue
+
ts_arrival = round(datetime.now().timestamp()*1000)
if isinstance(message, str):
- try:
+ try:
data = json.loads(message)
channel = data.get('stream', None)
if channel is not None:
@@ -132,8 +176,8 @@ async def main():
if USE_VK:
VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0)
else:
- VAL_KEY = None
logging.warning("VALKEY NOT BEING USED, NO DATA WILL BE PUBLISHED")
+ raise NotImplementedError('Cannot run without VK')
if USE_DB:
engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
@@ -141,9 +185,8 @@ async def main():
await aster_db.create_fr_aster_mkt_trades(CON=CON)
await ws_stream()
else:
- CON = None
logging.warning("DATABASE NOT BEING USED, NO DATA WILL BE RECORDED")
- await ws_stream()
+ raise NotImplementedError('Cannot run without DB')
if __name__ == '__main__':
diff --git a/ws_aster_fund_rate_all.py b/ws_aster_fund_rate_all.py
index 023a4cc..df5c4bc 100644
--- a/ws_aster_fund_rate_all.py
+++ b/ws_aster_fund_rate_all.py
@@ -3,16 +3,15 @@ import json
import logging
import socket
import traceback
-from datetime import datetime, timezone
+from datetime import datetime
from typing import AsyncContextManager
-import math
-import numpy as np
-import pandas as pd
+# import numpy as np
+# import pandas as pd
import requests.packages.urllib3.util.connection as urllib3_cn # type: ignore
-from sqlalchemy import text
+# from sqlalchemy import text
import websockets
-from sqlalchemy.ext.asyncio import create_async_engine
+# from sqlalchemy.ext.asyncio import create_async_engine
import valkey
import os
from dotenv import load_dotenv
@@ -25,31 +24,30 @@ urllib3_cn.allowed_gai_family = allowed_gai_family
### Database ###
USE_DB: bool = False
-USE_VK: bool = True
-VK_FUND_RATE_ALL = 'fund_rate_aster_all'
+VK_CHANNEL = 'fund_rate_aster_all'
-CON: AsyncContextManager | None = None
-VAL_KEY = None
+CON: AsyncContextManager
+VAL_KEY: valkey.Valkey
### Logging ###
load_dotenv()
-LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Aster_FR_ALL.log'
+LOG_FILEPATH: str = f'{os.getenv(key="LOGS_PATH")}/Fund_Rate_Aster_FR_ALL.log'
### Globals ###
-WSS_URL = "wss://fstream.asterdex.com/ws/!markPrice@arr"
+WSS_URL: str = "wss://fstream.asterdex.com/ws/!markPrice@arr"
### Websocket ###
async def ws_stream():
async for websocket in websockets.connect(WSS_URL):
- logging.info(f"Connected to {WSS_URL}")
+ logging.info(msg=f"Connected to {WSS_URL}")
try:
async for message in websocket:
if isinstance(message, str):
try:
- data = json.loads(message)
+ data: dict = json.loads(message)
if data:
- VAL_KEY.set(VK_FUND_RATE_ALL, json.dumps(data))
+ VAL_KEY.set(name=VK_CHANNEL, value=json.dumps(obj=data))
# print(f'VK_SAVED: {len(data)}')
continue
else:
@@ -61,39 +59,35 @@ async def ws_stream():
else:
raise ValueError(f'Type: {type(data)} not expected: {message}')
except websockets.ConnectionClosed as e:
- logging.error(f'Connection closed: {e}')
- logging.error(traceback.format_exc())
- continue
+ logging.error(msg=f'Connection closed: {e}')
+ logging.error(msg=traceback.format_exc())
+ utils.send_tg_alert(msg=f'WS: {VK_CHANNEL} - Failure: {e}')
except Exception as e:
- logging.error(f'Connection closed: {e}')
- logging.error(traceback.format_exc())
+ logging.error(msg=f'Connection closed: {e}')
+ logging.error(msg=traceback.format_exc())
+ utils.send_tg_alert(msg=f'WS: {VK_CHANNEL} - Failure: {e}')
### Startup ###
async def main():
global VAL_KEY
global CON
- if USE_VK:
- VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0)
- else:
- VAL_KEY = None
- logging.warning("VALKEY NOT BEING USED, NO DATA WILL BE PUBLISHED")
-
+ VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0)
+
if USE_DB:
- engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
- async with engine.connect() as CON:
- # await create_rtds_btcusd_table(CON=CON)
- await ws_stream()
+ raise NotImplementedError('DB not implemented for this ws.')
+ # engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
+ # async with engine.connect() as CON:
+ # await ws_stream()
else:
- CON = None
logging.warning("DATABASE NOT BEING USED, NO DATA WILL BE RECORDED")
await ws_stream()
if __name__ == '__main__':
- START_TIME = round(datetime.now().timestamp()*1000)
+ START_TIME: int = round(number=datetime.now().timestamp()*1000)
- logging.info(f'Log FilePath: {LOG_FILEPATH}')
+ logging.info(msg=f'Log FilePath: {LOG_FILEPATH}')
logging.basicConfig(
force=True,
@@ -102,9 +96,9 @@ if __name__ == '__main__':
format='%(asctime)s - %(levelname)s - %(message)s',
filemode='w'
)
- logging.info(f"STARTED: {START_TIME}")
+ logging.info(msg=f"STARTED: {START_TIME}")
try:
asyncio.run(main())
except KeyboardInterrupt:
- logging.info("Stream stopped")
\ No newline at end of file
+ logging.info(msg="Stream stopped")
\ No newline at end of file
diff --git a/ws_aster_user.py b/ws_aster_user.py
index be0594f..ad650e7 100644
--- a/ws_aster_user.py
+++ b/ws_aster_user.py
@@ -1,20 +1,19 @@
import asyncio
import json
import logging
+import os
import socket
import traceback
from datetime import datetime
from typing import AsyncContextManager
-import numpy as np
-import pandas as pd
import requests.packages.urllib3.util.connection as urllib3_cn # type: ignore
-from sqlalchemy import text
-import websockets
-from sqlalchemy.ext.asyncio import create_async_engine
import valkey
-import os
+
+import websockets
from dotenv import load_dotenv
+from sqlalchemy.ext.asyncio import create_async_engine
+
import modules.aster_auth as aster_auth
import modules.aster_db as aster_db
import modules.db as db
@@ -28,84 +27,84 @@ urllib3_cn.allowed_gai_family = allowed_gai_family
### Database ###
USE_DB: bool = True
USE_VK: bool = True
-VK_ORDERS_TRADES = 'fr_aster_user_orders'
-VK_MARGIN_CALLS = 'fr_aster_user_margin_calls'
-VK_BALANCES = 'fr_aster_user_balances'
-VK_POSITIONS = 'fr_aster_user_positions'
-CON: AsyncContextManager | None = None
-VAL_KEY = None
+CON: AsyncContextManager
+VAL_KEY: valkey.Valkey
+VK_ORDERS_TRADES: str = 'fr_aster_user_orders'
+VK_MARGIN_CALLS: str = 'fr_aster_user_margin_calls'
+VK_BALANCES: str = 'fr_aster_user_balances'
+VK_POSITIONS: str = 'fr_aster_user_positions'
### Logging ###
load_dotenv()
-LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Aster_User.log'
+LOG_FILEPATH: str = f'{os.getenv(key="LOGS_PATH")}/Fund_Rate_Aster_User.log'
### CONSTANTS ###
-WSS_URL = "wss://fstream.asterdex.com/ws/"
-LOCAL_RECENT_UPDATES_LOOKBACK_SEC = 30
+WSS_URL: str = "wss://fstream.asterdex.com/ws/"
+LOCAL_RECENT_UPDATES_LOOKBACK_SEC: int = 30
### Globals ###
-LISTEN_KEY: str | None = None
-LISTEN_KEY_LAST_UPDATE_TS_S: int = 0
-LISTEN_KEY_PUT_INTERVAL_SEC = 1800
+Listen_Key: str
+Listen_Key_Last_Update_TS_S: int = 0
+Listen_Key_Put_Interval_Sec: int = 1800
-LOCAL_RECENT_ORDERS: list = []
-LOCAL_RECENT_MARGIN_CALLS: list = []
-LOCAL_RECENT_BALANCES: list = []
-LOCAL_RECENT_POSITIONS: list = []
+Local_Recent_Orders: list[dict] = []
+Local_Recent_Margin_Calls: list[dict] = []
+Local_Recent_Balances: list[dict] = []
+Local_Recent_Positions: list[dict] = []
async def get_new_listen_key() -> str:
- global LISTEN_KEY_LAST_UPDATE_TS_S
+ global Listen_Key_Last_Update_TS_S
- listen_key_request = {
+ listen_key_request: dict = {
"url": "/fapi/v3/listenKey",
"method": "POST",
"params": {}
}
- r = await aster_auth.post_authenticated_url(listen_key_request)
- listen_key = r.get('listenKey', None)
+ r: dict = await aster_auth.post_authenticated_url(listen_key_request) # ty:ignore[invalid-assignment]
+ listen_key: str = r.get('listenKey', '')
print(f'LISTEN KEY: {listen_key}')
- if listen_key is not None:
- LISTEN_KEY_LAST_UPDATE_TS_S = round(datetime.now().timestamp())
+ if listen_key:
+ Listen_Key_Last_Update_TS_S = round(number=datetime.now().timestamp())
return listen_key
else:
- raise ValueError(f'Listen Key is None; Failed to Update. response: {r}')
+ raise ValueError(f'Listen Key is empty; Failed to Update. response: {r}')
async def listen_key_interval():
- global LISTEN_KEY
+ global Listen_Key
while True:
- await asyncio.sleep(LISTEN_KEY_PUT_INTERVAL_SEC)
- LISTEN_KEY = await get_new_listen_key()
+ await asyncio.sleep(delay=Listen_Key_Put_Interval_Sec)
+ Listen_Key = await get_new_listen_key()
### Websocket ###
async def ws_stream():
- global LISTEN_KEY
- global LOCAL_RECENT_ORDERS
- global LOCAL_RECENT_MARGIN_CALLS
- global LOCAL_RECENT_BALANCES
- global LOCAL_RECENT_POSITIONS
+ global Listen_Key
+ global Local_Recent_Orders
+ global Local_Recent_Margin_Calls
+ global Local_Recent_Balances
+ global Local_Recent_Positions
- LISTEN_KEY = await get_new_listen_key()
+ Listen_Key = await get_new_listen_key()
- async for websocket in websockets.connect(WSS_URL+LISTEN_KEY):
- logging.info(f"Connected to {WSS_URL}")
- asyncio.create_task(listen_key_interval())
+ async for websocket in websockets.connect(uri=WSS_URL+Listen_Key, ping_interval=5):
+ logging.info(msg=f"Connected to {WSS_URL}")
+ asyncio.create_task(coro=listen_key_interval())
try:
async for message in websocket:
- ts_arrival = round(datetime.now().timestamp()*1000)
+ ts_arrival: int = round(number=datetime.now().timestamp()*1000)
if isinstance(message, str):
try:
- data = json.loads(message)
- channel = data.get('e', None)
- if channel is not None:
- LOOKBACK_MIN_TS_MS = ts_arrival - (LOCAL_RECENT_UPDATES_LOOKBACK_SEC*1000)
+ data: dict = json.loads(s=message)
+ channel: str = data.get('e', '')
+ if channel:
+ lookback_min_ts_ms: int = ts_arrival - (LOCAL_RECENT_UPDATES_LOOKBACK_SEC*1000)
match channel:
case 'ORDER_TRADE_UPDATE':
# logging.info(f'ORDER_TRADE_UPDATE: {data}')
- new_order_update = {
+ new_order_update: dict = {
'timestamp_arrival': ts_arrival,
'timestamp_msg': data['E'],
'timestamp_transaction': data['T'],
@@ -141,11 +140,11 @@ async def ws_stream():
'callback_rate': float(data['o'].get("cr", 0)), # :"5.0", // Callback Rate, only puhed with TRAILING_STOP_MARKET order
'realized_profit': float(data['o']["rp"]), # :"0" // Realized Profit of the trade
}
- LOCAL_RECENT_ORDERS = utils.upsert_list_of_dicts_by_id(LOCAL_RECENT_ORDERS, new_order_update, id='order_id', seq_check_field='timestamp_msg')
- LOCAL_RECENT_ORDERS = [t for t in LOCAL_RECENT_ORDERS if t.get('timestamp_arrival', 0) >= LOOKBACK_MIN_TS_MS]
+ Local_Recent_Orders = utils.upsert_list_of_dicts_by_id(Local_Recent_Orders, new_order_update, id='order_id', seq_check_field='timestamp_msg')
+ Local_Recent_Orders = [t for t in Local_Recent_Orders if t.get('timestamp_arrival', 0) >= lookback_min_ts_ms]
- VAL_KEY_OBJ = json.dumps(LOCAL_RECENT_ORDERS)
- VAL_KEY.set(VK_ORDERS_TRADES, VAL_KEY_OBJ)
+ VAL_KEY_OBJ: str = json.dumps(obj=Local_Recent_Orders)
+ VAL_KEY.set(name=VK_ORDERS_TRADES, value=VAL_KEY_OBJ)
await db.insert_df_to_mysql(table_name='fr_aster_user_order_trade', params=new_order_update, CON=CON)
continue
@@ -153,7 +152,7 @@ async def ws_stream():
# logging.info(f'MARGIN_CALL: {data}')
list_for_df = []
for p in list(data['p']):
- margin_call_update = {
+ margin_call_update: dict = {
'timestamp_arrival': ts_arrival,
'timestamp_msg': data['E'],
'cross_wallet_balance': float(data.get('cw', 0)),
@@ -168,11 +167,11 @@ async def ws_stream():
'maint_margin_required': float(p["mm"]), # :"1.614445" // Maintenance Margin Required
}
list_for_df.append(margin_call_update)
- LOCAL_RECENT_MARGIN_CALLS = utils.upsert_list_of_dicts_by_id(LOCAL_RECENT_MARGIN_CALLS, margin_call_update, id='symbol', seq_check_field='timestamp_msg')
- LOCAL_RECENT_MARGIN_CALLS = [t for t in LOCAL_RECENT_MARGIN_CALLS if t.get('timestamp_arrival', 0) >= LOOKBACK_MIN_TS_MS]
+ Local_Recent_Margin_Calls = utils.upsert_list_of_dicts_by_id(Local_Recent_Margin_Calls, margin_call_update, id='symbol', seq_check_field='timestamp_msg')
+ Local_Recent_Margin_Calls = [t for t in Local_Recent_Margin_Calls if t.get('timestamp_arrival', 0) >= lookback_min_ts_ms]
- VAL_KEY_OBJ = json.dumps(LOCAL_RECENT_MARGIN_CALLS)
- VAL_KEY.set(VK_MARGIN_CALLS, VAL_KEY_OBJ)
+ VAL_KEY_OBJ: str = json.dumps(obj=Local_Recent_Margin_Calls)
+ VAL_KEY.set(name=VK_MARGIN_CALLS, value=VAL_KEY_OBJ)
await db.insert_df_to_mysql(table_name='fr_aster_user_margin', params=list_for_df, CON=CON)
continue
@@ -183,7 +182,7 @@ async def ws_stream():
### Balance Updates ###
if len(list(data['a']['B'])) > 0:
for b in list(data['a']['B']):
- balance_update = {
+ balance_update: dict = {
'timestamp_arrival': ts_arrival,
'timestamp_msg': data['E'],
'timestamp_transaction': data['T'],
@@ -196,13 +195,13 @@ async def ws_stream():
'balance_change_excl_pnl_comms': float(b['bc']),
}
list_for_df_bal.append(balance_update)
- LOCAL_RECENT_BALANCES = utils.upsert_list_of_dicts_by_id(LOCAL_RECENT_BALANCES, balance_update, id='asset', seq_check_field='timestamp_msg')
- LOCAL_RECENT_BALANCES = [t for t in LOCAL_RECENT_BALANCES if t.get('timestamp_arrival', 0) >= LOOKBACK_MIN_TS_MS]
- VAL_KEY.set(VK_BALANCES, json.dumps(LOCAL_RECENT_BALANCES))
+ Local_Recent_Balances = utils.upsert_list_of_dicts_by_id(Local_Recent_Balances, balance_update, id='asset', seq_check_field='timestamp_msg')
+ Local_Recent_Balances = [t for t in Local_Recent_Balances if t.get('timestamp_arrival', 0) >= lookback_min_ts_ms]
+ VAL_KEY.set(name=VK_BALANCES, value=json.dumps(obj=Local_Recent_Balances))
### Position Updates ###
if len(list(data['a']['P'])) > 0:
for p in list(data['a']['P']):
- position_update = {
+ position_update: dict = {
'timestamp_arrival': ts_arrival,
'timestamp_msg': data['E'],
'timestamp_transaction': data['T'],
@@ -219,33 +218,34 @@ async def ws_stream():
'position_side': p['ps'],
}
list_for_df_pos.append(position_update)
- LOCAL_RECENT_POSITIONS = utils.upsert_list_of_dicts_by_id(LOCAL_RECENT_POSITIONS, position_update, id='symbol', seq_check_field='timestamp_msg')
- LOCAL_RECENT_POSITIONS = [t for t in LOCAL_RECENT_POSITIONS if t.get('timestamp_arrival', 0) >= LOOKBACK_MIN_TS_MS]
- VAL_KEY.set(VK_POSITIONS, json.dumps(LOCAL_RECENT_POSITIONS))
+ Local_Recent_Positions = utils.upsert_list_of_dicts_by_id(Local_Recent_Positions, position_update, id='symbol', seq_check_field='timestamp_msg')
+ Local_Recent_Positions = [t for t in Local_Recent_Positions if t.get('timestamp_arrival', 0) >= lookback_min_ts_ms]
+ VAL_KEY.set(name=VK_POSITIONS, value=json.dumps(obj=Local_Recent_Positions))
if list_for_df_bal:
await db.insert_df_to_mysql(table_name='fr_aster_user_account_bal', params=list_for_df_bal, CON=CON)
if list_for_df_pos:
await db.insert_df_to_mysql(table_name='fr_aster_user_account_pos', params=list_for_df_pos, CON=CON)
continue
case 'listenKeyExpired':
- raise('Listen Key Has Expired; Failed to Update Properly. Restarting.')
+ raise ValueError('Listen Key Has Expired; Failed to Update Properly. Restarting.')
case _:
- logging.warning(f'UNMATCHED OTHER MSG: {data}')
+ logging.warning(msg=f'UNMATCHED OTHER MSG: {data}')
else:
- logging.info(f'Initial or unexpected data struct, skipping: {data}')
+ logging.info(msg=f'Initial or unexpected data struct, skipping: {data}')
continue
except (json.JSONDecodeError, ValueError):
- logging.warning(f'Message not in JSON format, skipping: {message}')
+ logging.warning(msg=f'Message not in JSON format, skipping: {message}')
continue
else:
raise ValueError(f'Type: {type(data)} not expected: {message}')
except websockets.ConnectionClosed as e:
- logging.error(f'Connection closed: {e}')
- logging.error(traceback.format_exc())
- continue
+ logging.error(msg=f'Connection closed: {e}')
+ logging.error(msg=traceback.format_exc())
+ utils.send_tg_alert(msg=f'WS_Aster_User - Failure: {e}')
except Exception as e:
- logging.error(f'Connection closed: {e}')
- logging.error(traceback.format_exc())
+ logging.error(msg=f'Connection closed: {e}')
+ logging.error(msg=traceback.format_exc())
+ utils.send_tg_alert(msg=f'WS_Aster_User - Failure: {e}')
async def main():
@@ -255,8 +255,8 @@ async def main():
if USE_VK:
VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0)
else:
- VAL_KEY = None
logging.warning("VALKEY NOT BEING USED, NO DATA WILL BE PUBLISHED")
+ raise NotImplementedError('Cannot run without Valkey')
if USE_DB:
engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
@@ -267,15 +267,14 @@ async def main():
await aster_db.create_fr_aster_user_account_pos(CON=CON)
await ws_stream()
else:
- CON = None
logging.warning("DATABASE NOT BEING USED, NO DATA WILL BE RECORDED")
- await ws_stream()
+ raise NotImplementedError('Cannot run without DB')
if __name__ == '__main__':
- START_TIME = round(datetime.now().timestamp()*1000)
+ START_TIME: int = round(number=datetime.now().timestamp()*1000)
- logging.info(f'Log FilePath: {LOG_FILEPATH}')
+ logging.info(msg=f'Log FilePath: {LOG_FILEPATH}')
logging.basicConfig(
force=True,
@@ -284,9 +283,9 @@ if __name__ == '__main__':
format='%(asctime)s - %(levelname)s - %(message)s',
filemode='w'
)
- logging.info(f"STARTED: {START_TIME}")
+ logging.info(msg=f"STARTED: {START_TIME}")
try:
asyncio.run(main())
except KeyboardInterrupt:
- logging.info("Stream stopped")
\ No newline at end of file
+ logging.info(msg="Stream stopped")
\ No newline at end of file
diff --git a/ws_extended_fund_rate.py b/ws_extended_fund_rate.py
index 64b8f17..34fb902 100644
--- a/ws_extended_fund_rate.py
+++ b/ws_extended_fund_rate.py
@@ -28,23 +28,18 @@ USE_DB: bool = False
USE_VK: bool = True
VK_FUND_RATE = 'fund_rate_extended'
-CON: AsyncContextManager | None = None
-VAL_KEY = None
+CON: AsyncContextManager
+VAL_KEY: valkey.Valkey
### Logging ###
load_dotenv()
-LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Extended_FR.log'
+LOG_FILEPATH: str = f'{os.getenv("LOGS_PATH")}/Fund_Rate_Extended_FR.log'
### CONSTANTS ###
-WS_SYMBOL: str = 'ETH-USD'
-FUNDING_RATE_INTERVAL_MIN = 60
+SYMBOL: str = 'ETH-USD'
### Globals ###
-WSS_URL = f"wss://api.starknet.extended.exchange/stream.extended.exchange/v1/funding/{WS_SYMBOL}"
-
-
-# HIST_TRADES = np.empty((0, 3))
-# HIST_TRADES_LOOKBACK_SEC = 6
+ALLOW_SYMBOL_CHG: bool = False
def time_round_down(dt, interval_mins=5) -> int: # returns timestamp in seconds
interval_secs = interval_mins * 60
@@ -53,113 +48,63 @@ def time_round_down(dt, interval_mins=5) -> int: # returns timestamp in seconds
return rounded_seconds
-
-# ### Database Funcs ###
-# async def create_rtds_btcusd_table(
-# CON: AsyncContextManager,
-# engine: str = 'mysql', # mysql | duckdb
-# ) -> None:
-# if CON is None:
-# logging.info("NO DB CONNECTION, SKIPPING Create Statements")
-# else:
-# if engine == 'mysql':
-# logging.info('Creating Table if Does Not Exist: binance_btcusd_trades')
-# await CON.execute(text("""
-# CREATE TABLE IF NOT EXISTS binance_btcusd_trades (
-# timestamp_arrival BIGINT,
-# timestamp_msg BIGINT,
-# timestamp_value BIGINT,
-# value DOUBLE,
-# qty DOUBLE
-# );
-# """))
-# await CON.commit()
-# else:
-# raise ValueError('Only MySQL engine is implemented')
-
-# async def insert_rtds_btcusd_table(
-# timestamp_arrival: int,
-# timestamp_msg: int,
-# timestamp_value: int,
-# value: float,
-# qty: float,
-# CON: AsyncContextManager,
-# engine: str = 'mysql', # mysql | duckdb
-# ) -> None:
-# params={
-# 'timestamp_arrival': timestamp_arrival,
-# 'timestamp_msg': timestamp_msg,
-# 'timestamp_value': timestamp_value,
-# 'value': value,
-# 'qty': qty,
-# }
-# if CON is None:
-# logging.info("NO DB CONNECTION, SKIPPING Insert Statements")
-# else:
-# if engine == 'mysql':
-# await CON.execute(text("""
-# INSERT INTO binance_btcusd_trades
-# (
-# timestamp_arrival,
-# timestamp_msg,
-# timestamp_value,
-# value,
-# qty
-# )
-# VALUES
-# (
-# :timestamp_arrival,
-# :timestamp_msg,
-# :timestamp_value,
-# :value,
-# :qty
-# )
-# """),
-# parameters=params
-# )
-# await CON.commit()
-# else:
-# raise ValueError('Only MySQL engine is implemented')
-
### Websocket ###
async def ws_stream():
- async for websocket in websockets.connect(WSS_URL):
- logging.info(f"Connected to {WSS_URL}")
- try:
- async for message in websocket:
- ts_arrival = round(datetime.now().timestamp()*1000)
- if isinstance(message, str):
- try:
- data = json.loads(message)
- if data.get('data', None) is not None:
- # print(f'FR: {data}')
- fr_next_update_ts = (time_round_down(dt=datetime.now(timezone.utc), interval_mins=60)+(60*60))*1000
- VAL_KEY_OBJ = json.dumps({
- 'sequence_id': data['seq'],
- 'timestamp_arrival': ts_arrival,
- 'timestamp_msg': data['ts'],
- 'symbol': data['data']['m'],
- 'funding_rate': float(data['data']['f']),
- 'funding_rate_updated_ts_ms': data['data']['T'],
- 'next_funding_time_ts_ms': fr_next_update_ts,
- })
- VAL_KEY.set(VK_FUND_RATE, VAL_KEY_OBJ)
+ global SYMBOL
+
+ while True:
+ CHANGE_SYMBOL = False
+ WSS_URL = f"wss://api.starknet.extended.exchange/stream.extended.exchange/v1/funding/{SYMBOL}"
+ async for websocket in websockets.connect(WSS_URL):
+ if CHANGE_SYMBOL:
+ break
+ logging.info(f"Connected to {WSS_URL}")
+ try:
+ async for message in websocket:
+ ### Update Symbol if Algo Outputs Change ###
+ if ALLOW_SYMBOL_CHG:
+ best_symbol_by_exchange: dict = json.loads(s=VAL_KEY.get(name='fr_algo_working_symbol')) # ty:ignore[invalid-argument-type]
+ best_symbol: str = f'{best_symbol_by_exchange['EXTEND']['lh_asset']}-{best_symbol_by_exchange['EXTEND']['rh_asset']}'
+ if best_symbol != SYMBOL:
+ logging.info(f'Symbol Change: {SYMBOL} -> {best_symbol}')
+ SYMBOL = best_symbol
+ CHANGE_SYMBOL = True
+ await websocket.close()
+ break
+
+ ts_arrival = round(datetime.now().timestamp()*1000)
+ if isinstance(message, str):
+ try:
+ data = json.loads(message)
+ if data.get('data', None) is not None:
+ # print(f'FR: {data}')
+ fr_next_update_ts = (time_round_down(dt=datetime.now(timezone.utc), interval_mins=60)+(60*60))*1000
+ VAL_KEY_OBJ = json.dumps({
+ 'sequence_id': data['seq'],
+ 'timestamp_arrival': ts_arrival,
+ 'timestamp_msg': data['ts'],
+ 'symbol': data['data']['m'],
+ 'funding_rate': float(data['data']['f']),
+ 'funding_rate_updated_ts_ms': data['data']['T'],
+ 'next_funding_time_ts_ms': fr_next_update_ts,
+ })
+ VAL_KEY.set(VK_FUND_RATE, VAL_KEY_OBJ)
+ continue
+ else:
+ logging.info(f'Initial or unexpected data struct, skipping: {data}')
+ continue
+ except (json.JSONDecodeError, ValueError):
+ logging.warning(f'Message not in JSON format, skipping: {message}')
continue
- else:
- logging.info(f'Initial or unexpected data struct, skipping: {data}')
- continue
- except (json.JSONDecodeError, ValueError):
- logging.warning(f'Message not in JSON format, skipping: {message}')
- continue
- else:
- raise ValueError(f'Type: {type(data)} not expected: {message}')
- except websockets.ConnectionClosed as e:
- logging.error(f'Connection closed: {e}')
- logging.error(traceback.format_exc())
- continue
- except Exception as e:
- logging.error(f'Connection closed: {e}')
- logging.error(traceback.format_exc())
+ else:
+ raise ValueError(f'Type: {type(data)} not expected: {message}')
+ except websockets.ConnectionClosed as e:
+ logging.error(f'Connection closed: {e}')
+ logging.error(traceback.format_exc())
+ continue
+ except Exception as e:
+ logging.error(f'Connection closed: {e}')
+ logging.error(traceback.format_exc())
async def main():
@@ -169,16 +114,16 @@ async def main():
if USE_VK:
VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0)
else:
- VAL_KEY = None
logging.warning("VALKEY NOT BEING USED, NO DATA WILL BE PUBLISHED")
+ raise NotImplementedError('Cannot run without VK')
if USE_DB:
- engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
- async with engine.connect() as CON:
- # await create_rtds_btcusd_table(CON=CON)
- await ws_stream()
+ raise NotImplementedError('DB not implemented')
+ # engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
+ # async with engine.connect() as CON:
+ # # await create_rtds_btcusd_table(CON=CON)
+ # await ws_stream()
else:
- CON = None
logging.warning("DATABASE NOT BEING USED, NO DATA WILL BE RECORDED")
await ws_stream()
diff --git a/ws_extended_orderbook.py b/ws_extended_orderbook.py
index d58bb2b..647a9f6 100644
--- a/ws_extended_orderbook.py
+++ b/ws_extended_orderbook.py
@@ -27,58 +27,76 @@ USE_DB: bool = False
USE_VK: bool = True
VK_TICKER = 'fut_ticker_extended'
-CON: AsyncContextManager | None = None
-VAL_KEY = None
+CON: AsyncContextManager
+VAL_KEY: valkey.Valkey
### Logging ###
load_dotenv()
-LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Extended_OB.log'
+LOG_FILEPATH: str = f'{os.getenv("LOGS_PATH")}/Fund_Rate_Extended_OB.log'
### CONSTANTS ###
-WS_SYMBOL: str = 'ETH-USD'
+SYMBOL: str = 'ETH-USD'
### Globals ###
-WSS_URL = f"wss://api.starknet.extended.exchange/stream.extended.exchange/v1/orderbooks/{WS_SYMBOL}?depth=1"
+ALLOW_SYMBOL_CHG: bool = False
### Websocket ###
async def ws_stream():
- async for websocket in websockets.connect(WSS_URL):
- logging.info(f"Connected to {WSS_URL}")
- try:
- async for message in websocket:
- ts_arrival = round(datetime.now().timestamp()*1000)
- if isinstance(message, str):
- try:
- data = json.loads(message)
- if data.get('type', None) is not None:
- # print(f'OB: {data}')
- VAL_KEY_OBJ = json.dumps({
- 'sequence_id': data['seq'],
- 'timestamp_arrival': ts_arrival,
- 'timestamp_msg': data['ts'],
- 'symbol': data['data']['m'],
- 'best_bid_px': float(data['data']['b'][0]['p']),
- 'best_bid_qty': float(data['data']['b'][0]['q']),
- 'best_ask_px': float(data['data']['a'][0]['p']),
- 'best_ask_qty': float(data['data']['a'][0]['q']),
- })
- VAL_KEY.set(VK_TICKER, VAL_KEY_OBJ)
+ global SYMBOL
+
+ while True:
+ CHANGE_SYMBOL = False
+ WSS_URL = f"wss://api.starknet.extended.exchange/stream.extended.exchange/v1/orderbooks/{SYMBOL}?depth=1"
+ async for websocket in websockets.connect(WSS_URL):
+ if CHANGE_SYMBOL:
+ break
+ logging.info(f"Connected to {WSS_URL}")
+ try:
+ async for message in websocket:
+ ### Update Symbol if Algo Outputs Change ###
+ if ALLOW_SYMBOL_CHG:
+ best_symbol_by_exchange: dict = json.loads(s=VAL_KEY.get(name='fr_algo_working_symbol')) # ty:ignore[invalid-argument-type]
+ best_symbol: str = f'{best_symbol_by_exchange['EXTEND']['lh_asset']}-{best_symbol_by_exchange['EXTEND']['rh_asset']}'
+ if best_symbol != SYMBOL:
+ logging.info(f'Symbol Change: {SYMBOL} -> {best_symbol}')
+ SYMBOL = best_symbol
+ CHANGE_SYMBOL = True
+ await websocket.close()
+ break
+
+ ts_arrival = round(datetime.now().timestamp()*1000)
+ if isinstance(message, str):
+ try:
+ data = json.loads(message)
+ if data.get('type', None) is not None:
+ # print(f'OB: {data}')
+ VAL_KEY_OBJ = json.dumps({
+ 'sequence_id': data['seq'],
+ 'timestamp_arrival': ts_arrival,
+ 'timestamp_msg': data['ts'],
+ 'symbol': data['data']['m'],
+ 'best_bid_px': float(data['data']['b'][0]['p']),
+ 'best_bid_qty': float(data['data']['b'][0]['q']),
+ 'best_ask_px': float(data['data']['a'][0]['p']),
+ 'best_ask_qty': float(data['data']['a'][0]['q']),
+ })
+ VAL_KEY.set(VK_TICKER, VAL_KEY_OBJ)
+ continue
+ else:
+ logging.info(f'Initial or unexpected data struct, skipping: {data}')
+ continue
+ except (json.JSONDecodeError, ValueError):
+ logging.warning(f'Message not in JSON format, skipping: {message}')
continue
- else:
- logging.info(f'Initial or unexpected data struct, skipping: {data}')
- continue
- except (json.JSONDecodeError, ValueError):
- logging.warning(f'Message not in JSON format, skipping: {message}')
- continue
- else:
- raise ValueError(f'Type: {type(data)} not expected: {message}')
- except websockets.ConnectionClosed as e:
- logging.error(f'Connection closed: {e}')
- logging.error(traceback.format_exc())
- continue
- except Exception as e:
- logging.error(f'Connection closed: {e}')
- logging.error(traceback.format_exc())
+ else:
+ raise ValueError(f'Type: {type(data)} not expected: {message}')
+ except websockets.ConnectionClosed as e:
+ logging.error(f'Connection closed: {e}')
+ logging.error(traceback.format_exc())
+ continue
+ except Exception as e:
+ logging.error(f'Connection closed: {e}')
+ logging.error(traceback.format_exc())
async def main():
@@ -88,16 +106,16 @@ async def main():
if USE_VK:
VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0)
else:
- VAL_KEY = None
logging.warning("VALKEY NOT BEING USED, NO DATA WILL BE PUBLISHED")
+ raise NotImplementedError('Cannot run without VK')
if USE_DB:
- engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
- async with engine.connect() as CON:
- # await create_rtds_btcusd_table(CON=CON)
- await ws_stream()
+ raise NotImplementedError('DB not implemented')
+ # engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
+ # async with engine.connect() as CON:
+ # # await create_rtds_btcusd_table(CON=CON)
+ # await ws_stream()
else:
- CON = None
logging.warning("DATABASE NOT BEING USED, NO DATA WILL BE RECORDED")
await ws_stream()
diff --git a/ws_extended_trades.py b/ws_extended_trades.py
index d0d103b..5486b78 100644
--- a/ws_extended_trades.py
+++ b/ws_extended_trades.py
@@ -29,68 +29,88 @@ USE_DB: bool = True
USE_VK: bool = True
VK_LAST_TRADE = 'fut_last_trade_extended'
-CON: AsyncContextManager | None = None
-VAL_KEY = None
+CON: AsyncContextManager
+VAL_KEY: valkey.Valkey
### Logging ###
load_dotenv()
-LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Extended_Trades.log'
+LOG_FILEPATH: str = f'{os.getenv("LOGS_PATH")}/Fund_Rate_Extended_Trades.log'
### CONSTANTS ###
-WS_SYMBOL: str = 'ETH-USD'
+SYMBOL: str = 'ETH-USD'
### Globals ###
-WSS_URL = f"wss://api.starknet.extended.exchange/stream.extended.exchange/v1/publicTrades/{WS_SYMBOL}"
+ALLOW_SYMBOL_CHG: bool = False
+
### Websocket ###
async def ws_stream():
- async for websocket in websockets.connect(WSS_URL):
- logging.info(f"Connected to {WSS_URL}")
- try:
- async for message in websocket:
- ts_arrival = round(datetime.now().timestamp()*1000)
- if isinstance(message, str):
- try:
- data = json.loads(message)
- if data.get('data', None) is not None:
- if data['seq'] == 1: # Skip first msg that has historical trades
+ global SYMBOL
+
+ while True:
+ CHANGE_SYMBOL: bool = False
+ WSS_URL = f"wss://api.starknet.extended.exchange/stream.extended.exchange/v1/publicTrades/{SYMBOL}"
+ async for websocket in websockets.connect(WSS_URL):
+ if CHANGE_SYMBOL:
+ break
+ logging.info(f"Connected to {WSS_URL}")
+ try:
+ async for message in websocket:
+ ### Update Symbol if Algo Outputs Change ###
+ if ALLOW_SYMBOL_CHG:
+ best_symbol_by_exchange: dict = json.loads(s=VAL_KEY.get(name='fr_algo_working_symbol')) # ty:ignore[invalid-argument-type]
+ best_symbol: str = f'{best_symbol_by_exchange['EXTEND']['lh_asset']}-{best_symbol_by_exchange['EXTEND']['rh_asset']}'
+ if best_symbol != SYMBOL:
+ logging.info(f'Symbol Change: {SYMBOL} -> {best_symbol}')
+ SYMBOL = best_symbol
+ CHANGE_SYMBOL = True
+ await websocket.close()
+ break
+
+ ts_arrival = round(datetime.now().timestamp()*1000)
+ if isinstance(message, str):
+ try:
+ data = json.loads(message)
+ if data.get('data', None) is not None:
+ # print(data)
+ if data['seq'] == 1: # Skip first msg that has historical trades
+ continue
+ list_for_df = []
+ for t in data['data']:
+ trade_obj = {
+ 'sequence_id': data['seq'],
+ 'timestamp_arrival': ts_arrival,
+ 'timestamp_msg': data['ts'],
+ 'timestamp_trade': t['T'],
+ 'symbol': t['m'],
+ 'side_taker': t['S'],
+ 'trade_type': t['tT'],
+ 'price': float(t['p']),
+ 'qty': float(t['q']),
+ 'trade_id': t['i'],
+ 'is_buyer_mkt_maker': True if t['S']=='SELL' else False,
+ }
+ list_for_df.append(trade_obj)
+ # VAL_KEY.set(VK_LAST_TRADE, json.dumps(trade_obj))
+ if USE_DB:
+ await db.insert_df_to_mysql(table_name='fr_extended_mkt_trades', params=list_for_df, CON=CON)
+ pass
continue
- list_for_df = []
- for t in data['data']:
- trade_obj = {
- 'sequence_id': data['seq'],
- 'timestamp_arrival': ts_arrival,
- 'timestamp_msg': data['ts'],
- 'timestamp_trade': t['T'],
- 'symbol': t['m'],
- 'side_taker': t['S'],
- 'trade_type': t['tT'],
- 'price': float(t['p']),
- 'qty': float(t['q']),
- 'trade_id': t['i'],
- 'is_buyer_mkt_maker': True if t['S']=='SELL' else False,
- }
- list_for_df.append(trade_obj)
- # VAL_KEY.set(VK_LAST_TRADE, json.dumps(trade_obj))
- if USE_DB:
- await db.insert_df_to_mysql(table_name='fr_extended_mkt_trades', params=list_for_df, CON=CON)
- pass
+ else:
+ logging.info(f'Initial or unexpected data struct, skipping: {data}')
+ continue
+ except (json.JSONDecodeError, ValueError):
+ logging.warning(f'Message not in JSON format, skipping: {message}')
continue
- else:
- logging.info(f'Initial or unexpected data struct, skipping: {data}')
- continue
- except (json.JSONDecodeError, ValueError):
- logging.warning(f'Message not in JSON format, skipping: {message}')
- continue
- else:
- raise ValueError(f'Type: {type(data)} not expected: {message}')
- except websockets.ConnectionClosed as e:
- logging.error(f'Connection closed: {e}')
- logging.error(traceback.format_exc())
- continue
- except Exception as e:
- logging.error(f'Connection closed: {e}')
- logging.error(traceback.format_exc())
+ else:
+ raise ValueError(f'Type: {type(data)} not expected: {message}')
+ except websockets.ConnectionClosed as e:
+ logging.error(f'Connection closed: {e}')
+ logging.error(traceback.format_exc())
+ continue
+ except Exception as e:
+ logging.error(f'Connection closed: {e}')
+ logging.error(traceback.format_exc())
async def main():
@@ -100,8 +120,8 @@ async def main():
if USE_VK:
VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0)
else:
- VAL_KEY = None
logging.warning("VALKEY NOT BEING USED, NO DATA WILL BE PUBLISHED")
+ raise NotImplementedError('Cannot run without VK')
if USE_DB:
engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
@@ -109,9 +129,9 @@ async def main():
await extended_db.create_fr_extended_mkt_trades(CON=CON)
await ws_stream()
else:
- CON = None
logging.warning("DATABASE NOT BEING USED, NO DATA WILL BE RECORDED")
- await ws_stream()
+ raise NotImplementedError('Cannot run without DB')
+
if __name__ == '__main__':
diff --git a/ws_extended_user.py b/ws_extended_user.py
index 8050d7a..bccae2f 100644
--- a/ws_extended_user.py
+++ b/ws_extended_user.py
@@ -32,16 +32,16 @@ VK_ORDERS = 'fr_extended_user_orders'
VK_TRADES = 'fr_extended_user_trades'
VK_BALANCES = 'fr_extended_user_balances'
VK_POSITIONS = 'fr_extended_user_positions'
-CON: AsyncContextManager | None = None
-VAL_KEY = None
+CON: AsyncContextManager
+VAL_KEY: valkey.Valkey
### Logging ###
load_dotenv()
-LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Extended_User.log'
+LOG_FILEPATH: str = f'{os.getenv("LOGS_PATH")}/Fund_Rate_Extended_User.log'
### CONSTANTS ###
WSS_URL = "wss://api.starknet.extended.exchange/stream.extended.exchange/v1/account"
-API_KEY = os.getenv('EXTENDED_API_KEY')
+API_KEY: str = os.getenv('EXTENDED_API_KEY') # ty:ignore[invalid-assignment]
LOCAL_RECENT_UPDATES_LOOKBACK_SEC = 30
### Globals ###
@@ -226,8 +226,8 @@ async def main():
if USE_VK:
VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0)
else:
- VAL_KEY = None
logging.warning("VALKEY NOT BEING USED, NO DATA WILL BE PUBLISHED")
+ raise NotImplementedError('Cannot run without VK')
if USE_DB:
engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
@@ -238,9 +238,9 @@ async def main():
await extended_db.create_fr_extended_user_trade(CON=CON)
await ws_stream()
else:
- CON = None
logging.warning("DATABASE NOT BEING USED, NO DATA WILL BE RECORDED")
- await ws_stream()
+ raise NotImplementedError('Cannot run without DB')
+ # await ws_stream()
if __name__ == '__main__':