164 lines
3.7 KiB
Plaintext
164 lines
3.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "d1eed397",
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"metadata": {},
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"outputs": [],
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"source": [
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"import modules.structs as structs\n",
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"import json\n",
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"from dataclasses import dataclass, asdict\n",
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"import valkey\n",
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"\n",
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"with open('algo_config.json', 'r', encoding='utf-8') as file:\n",
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" ALGO_CONFIG = json.load(file, object_hook=lambda d: structs.Algo_Config(**d))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "c6151613",
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"metadata": {},
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"outputs": [],
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"source": [
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"VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0, decode_responses=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"id": "d83c61e5",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"1"
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]
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},
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"execution_count": 31,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"config_update = {\n",
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" 'Min_Time_To_Funding_Minutes': 60,\n",
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" 'Print_Summary_Each_Loop': True,\n",
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" 'Allow_Ordering_Aster': True,\n",
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" 'Allow_Ordering_Extend': True,\n",
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" 'Loop_Sleep_Sec': 0.0,\n",
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" 'Flip_Side_For_Testing': False,\n",
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" 'Price_Worsener_Extend': 0.0,\n",
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"}\n",
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"VAL_KEY.publish('fr_orchestrator_input', json.dumps(config_update))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d2fdd7d2",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "45fae761",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Algo_Config(Config_Updated_Timestamp=1777151524162, Allow_Ordering_Aster=True, Allow_Ordering_Extend=True, Loop_Sleep_Sec=1, Max_Target_Notional=0.0, Min_Time_To_Funding_Minutes=60, Price_Worsener_Aster=0.0, Price_Worsener_Extend=0.0, Target_Open_Cash_Position=10)"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"json.loads(VAL_KEY.get('fr_orchestrator_output'), object_hook=lambda d: structs.Algo_Config(**d))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'Config_Updated_Timestamp': 1777098091913,\n",
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" 'Allow_Ordering_Aster': False,\n",
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" 'Allow_Ordering_Extend': False,\n",
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" 'Loop_Sleep_Sec': 1,\n",
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" 'Max_Target_Notional': 0.0,\n",
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" 'Min_Time_To_Funding_Minutes': 60,\n",
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" 'Price_Worsener_Aster': 0.0,\n",
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" 'Price_Worsener_Extend': 0.0,\n",
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" 'Target_Open_Cash_Position': 10,\n",
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" 'Print_Summary_Each_Loop': False,\n",
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" 'Flip_Side_For_Testing': False}"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"asdict(ALGO_CONFIG)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d2e26271",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a0df43de",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "py_313",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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