diff --git a/algo.ipynb b/algo.ipynb
index 42d9f46..1b8d590 100644
--- a/algo.ipynb
+++ b/algo.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 76,
+ "execution_count": 8,
"id": "d1eed397",
"metadata": {},
"outputs": [],
@@ -18,7 +18,7 @@
},
{
"cell_type": "code",
- "execution_count": 77,
+ "execution_count": 9,
"id": "c6151613",
"metadata": {},
"outputs": [],
@@ -38,21 +38,22 @@
"1"
]
},
- "execution_count": 131,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"config_update = {\n",
- " 'Min_Time_To_Funding_Minutes': 7,\n",
- " # 'Allow_Ordering_Aster': True,\n",
- " # 'Allow_Ordering_Extend': True,\n",
+ " # 'Min_Time_To_Funding_Minutes': 60,\n",
+ " # 'Allow_Ordering_Aster': False,\n",
+ " # 'Allow_Ordering_Extend': False,\n",
" 'Loop_Sleep_Sec': 0.00,\n",
- "# 'Flip_Side_For_Testing': False,\n",
+ " 'Min_Fund_Rate_Pct_To_Trade': 0.0001,\n",
+ " # 'Flip_Side_For_Testing': False,\n",
"# 'Price_Worsener_Extend': 0.0,\n",
- " 'Log_Summary_Each_Loop': False,\n",
- " 'Print_Summary_Each_Loop': False,\n",
+ " # 'Log_Summary_Each_Loop': False,\n",
+ " # 'Print_Summary_Each_Loop': False,\n",
"}\n",
"VAL_KEY.publish('fr_orchestrator_input', json.dumps(config_update))"
]
diff --git a/algo_config.json b/algo_config.json
index e712764..eeb886e 100644
--- a/algo_config.json
+++ b/algo_config.json
@@ -1,14 +1,16 @@
{
- "Config_Updated_Timestamp": 1777312620005,
+ "Config_Updated_Timestamp": 1777388081818,
"Allow_Ordering_Aster": true,
"Allow_Ordering_Extend": true,
"Loop_Sleep_Sec": 0.0,
"Max_Target_Notional": 0.0,
- "Min_Time_To_Funding_Minutes": 7,
- "Price_Worsener_Aster": 0.0,
- "Price_Worsener_Extend": 0.0,
+ "Min_Time_To_Funding_Minutes": 60,
+ "Min_Fund_Rate_Pct_To_Trade": 0.000,
+ "Price_Worsener_Aster": 0.01,
+ "Price_Worsener_Extend": -0.1,
"Target_Open_Cash_Position": 10,
"Log_Summary_Each_Loop": false,
- "Print_Summary_Each_Loop": false,
+ "Print_Summary_Each_Loop": true,
+ "Flatten_Open_Positions": true,
"Flip_Side_For_Testing": false
}
\ No newline at end of file
diff --git a/aster.ipynb b/aster.ipynb
index 1a60523..6734392 100644
--- a/aster.ipynb
+++ b/aster.ipynb
@@ -594,7 +594,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.13.12"
+ "version": "3.13.13"
}
},
"nbformat": 4,
diff --git a/engine_dispersion.ipynb b/engine_dispersion.ipynb
new file mode 100644
index 0000000..42a2926
--- /dev/null
+++ b/engine_dispersion.ipynb
@@ -0,0 +1,5701 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 183,
+ "id": "25697582",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "from pprint import pprint\n",
+ "from sqlalchemy import create_engine, text\n",
+ "import plotly.express as px\n",
+ "import requests\n",
+ "import json\n",
+ "import time\n",
+ "from datetime import datetime\n",
+ "import plotly.graph_objects as go\n",
+ "from plotly.subplots import make_subplots\n",
+ "import numpy as np"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 184,
+ "id": "cd9ecfde",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Connection successful\n"
+ ]
+ }
+ ],
+ "source": [
+ "### MYSQL ###\n",
+ "ENGINE = create_engine('mysql+pymysql://root:pwd@localhost/fund_rate')\n",
+ "try:\n",
+ " with ENGINE.connect() as conn:\n",
+ " print(\"Connection successful\")\n",
+ "except Exception as e:\n",
+ " print(f\"Connection failed: {e}\") "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 185,
+ "id": "60cc2366",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def funding_rate_hist_extend(market: str, startTime: int | None = None, endTime: int | None = None ):\n",
+ " if startTime is None:\n",
+ " startTime = int(round(datetime.now().timestamp() * 1000)) - int(1000 * 60 * 60 * 24 * 30)\n",
+ " if endTime is None:\n",
+ " endTime = int(round(datetime.now().timestamp() * 1000))\n",
+ " \n",
+ " r = requests.get(f\"https://api.starknet.extended.exchange/api/v1/info/{market}/funding?startTime={startTime}&endTime={endTime}\")\n",
+ " return json.loads(r.text)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 186,
+ "id": "55ae5271",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def ratio_trades_to_midbars(df: pd.DataFrame, ts_col: str, is_buyer_maker_col: str, price_col: str = 'price', qty_col: str = 'qty', freq: str ='s') -> tuple[pd.DataFrame, pd.DataFrame]:\n",
+ " df_maker = df.loc[df[is_buyer_maker_col]==1, :].groupby(pd.Grouper(key=ts_col, freq=freq)).agg({'price':['min','median','max'], 'qty':'sum'}) # Resting on the bid (buyer is maker): ASK [Taker] [Seller] -- Crossed into --> BID [Maker] [Buyer]\n",
+ " df_taker = df.loc[df[is_buyer_maker_col]==0, :].groupby(pd.Grouper(key=ts_col, freq=freq)).agg({'price':['min','median','max'], 'qty':'sum'}) # Resting on the ask (seller is maker): BID [Taker] [Buyer] -- Crossed into --> ASK [Maker] [Seller]\n",
+ " df_maker.columns = ['_'.join(col).strip() for col in df_maker.columns.to_flat_index()]\n",
+ " df_taker.columns = ['_'.join(col).strip() for col in df_taker.columns.to_flat_index()]\n",
+ " \n",
+ " return df_maker, df_taker"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 187,
+ "id": "2b7232e5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_24hrs_midbars(table_name: str, freq='min', ts_col='timestamp_trade', is_buyer_maker_col='is_buyer_mkt_maker'):\n",
+ " df = pd.read_sql(\n",
+ " text(f'''\n",
+ " SELECT *\n",
+ " FROM {table_name}\n",
+ " '''),\n",
+ " con=ENGINE\n",
+ " )\n",
+ " df['timestamp_trade_dt'] = pd.to_datetime(df[ts_col], unit='ms')\n",
+ "\n",
+ " df_maker, df_taker = ratio_trades_to_midbars(\n",
+ " df=df,\n",
+ " freq=freq,\n",
+ " ts_col='timestamp_trade_dt',\n",
+ " is_buyer_maker_col=is_buyer_maker_col\n",
+ " )\n",
+ "\n",
+ " return df_maker.dropna(), df_taker.dropna()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 188,
+ "id": "f1174bae",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df_fr = funding_rate_hist_extend(market='ETH-USD')\n",
+ "df_fr = pd.DataFrame(df_fr['data']).rename({'m':'market','f':'funding_rate','T':'timestamp'}, axis=1)\n",
+ "df_fr['timestamp_dt'] = pd.to_datetime(df_fr['timestamp'], unit='ms')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 189,
+ "id": "068a54b6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df_aster_trades_by_sec_maker, df_aster_trades_by_sec_taker = get_24hrs_midbars(\n",
+ " table_name='fr_aster_mkt_trades',\n",
+ ")\n",
+ "\n",
+ "df_extend_trades_by_sec_maker, df_extend_trades_by_sec_taker = get_24hrs_midbars(\n",
+ " table_name='fr_extended_mkt_trades',\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 190,
+ "id": "2862e7e3",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.plotly.v1+json": {
+ "config": {
+ "plotlyServerURL": "https://plot.ly"
+ },
+ "data": [
+ {
+ "hovertemplate": "timestamp_trade_dt=%{x}
qty_sum=%{y}",
+ "legendgroup": "",
+ "line": {
+ "color": "#636efa",
+ "dash": "solid"
+ },
+ "marker": {
+ "symbol": "circle"
+ },
+ "mode": "lines",
+ "name": "",
+ "orientation": "v",
+ "showlegend": false,
+ "type": "scatter",
+ "x": [
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+ "px.line(df_extend_trades_by_sec_maker, y='qty_sum', template='plotly_dark')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 192,
+ "id": "56f94403",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df_comb_trades_by_sec = df_aster_trades_by_sec_taker[['price_median']].merge(df_extend_trades_by_sec_maker[['price_median']], left_index=True, right_index=True, suffixes=('_aster','_extend'))"
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+ {
+ "cell_type": "code",
+ "execution_count": 193,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df_comb_trades_by_sec['ratio'] = df_comb_trades_by_sec['price_median_aster'] / df_comb_trades_by_sec['price_median_extend']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 194,
+ "id": "663d036f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# df_comb_trades_by_sec = df_comb_trades_by_sec.reset_index().groupby(pd.Grouper(key='timestamp_trade_dt', freq='h')).agg({'price_median_aster': 'median', 'price_median_extend': 'median', 'ratio': 'median'}) # Resting on the ask (seller is maker): BID [Taker] [Buyer] -- Crossed into --> ASK [Maker] [Seller]"
+ ]
+ },
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+ "cell_type": "code",
+ "execution_count": 195,
+ "id": "66c5a128",
+ "metadata": {},
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+ "execution_count": 195,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(df_comb_trades_by_sec.loc[df_comb_trades_by_sec['ratio'] > 1]) / len(df_comb_trades_by_sec)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 196,
+ "id": "a454f3c4",
+ "metadata": {},
+ "outputs": [
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+ "data": {
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+ "execution_count": 196,
+ "metadata": {},
+ "output_type": "execute_result"
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+ "source": [
+ "len(df_comb_trades_by_sec.loc[df_comb_trades_by_sec['ratio'] <= 1]) / len(df_comb_trades_by_sec)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 197,
+ "id": "bf9af769",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "min_time = max([round(df_comb_trades_by_sec.index.min().timestamp()*1000), int(round(df_fr['timestamp'].min()))])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 198,
+ "id": "a0b4ab50",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df_comb_trades_by_sec_plot = df_comb_trades_by_sec.loc[df_comb_trades_by_sec.index.values.astype(np.int64) > min_time,:]\n",
+ "df_fr_plot = df_fr.loc[df_fr['timestamp'] > min_time,:]"
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+ " \n",
+ " | 3 | \n",
+ " ETH-USD | \n",
+ " -0.000001 | \n",
+ " 1777338001032 | \n",
+ " 2026-04-28 01:00:01.032 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " ETH-USD | \n",
+ " 0.000011 | \n",
+ " 1777334401026 | \n",
+ " 2026-04-28 00:00:01.026 | \n",
+ "
\n",
+ " \n",
+ " | 5 | \n",
+ " ETH-USD | \n",
+ " 0 | \n",
+ " 1777330801011 | \n",
+ " 2026-04-27 23:00:01.011 | \n",
+ "
\n",
+ " \n",
+ " | 6 | \n",
+ " ETH-USD | \n",
+ " 0.000013 | \n",
+ " 1777327200342 | \n",
+ " 2026-04-27 22:00:00.342 | \n",
+ "
\n",
+ " \n",
+ " | 7 | \n",
+ " ETH-USD | \n",
+ " -0.000003 | \n",
+ " 1777323600342 | \n",
+ " 2026-04-27 21:00:00.342 | \n",
+ "
\n",
+ " \n",
+ " | 8 | \n",
+ " ETH-USD | \n",
+ " 0 | \n",
+ " 1777320000722 | \n",
+ " 2026-04-27 20:00:00.722 | \n",
+ "
\n",
+ " \n",
+ " | 9 | \n",
+ " ETH-USD | \n",
+ " 0.000003 | \n",
+ " 1777316400934 | \n",
+ " 2026-04-27 19:00:00.934 | \n",
+ "
\n",
+ " \n",
+ " | 10 | \n",
+ " ETH-USD | \n",
+ " -0.000015 | \n",
+ " 1777312801025 | \n",
+ " 2026-04-27 18:00:01.025 | \n",
+ "
\n",
+ " \n",
+ " | 11 | \n",
+ " ETH-USD | \n",
+ " -0.000007 | \n",
+ " 1777309201012 | \n",
+ " 2026-04-27 17:00:01.012 | \n",
+ "
\n",
+ " \n",
+ " | 12 | \n",
+ " ETH-USD | \n",
+ " 0.000013 | \n",
+ " 1777305600343 | \n",
+ " 2026-04-27 16:00:00.343 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "