Market Intelligence

Provides quantitative trading strategy status and performance summaries, generating a JSON report of multiple registered strategies.

"""Quant-Trading Paper Runner.""" import json, os from datetime import datetime

OUTPUT = os.path.join(os.path.dirname(os.path.abspath(file)), 'dashboard', 'quant_trading_results.json')

STRATEGIES = [ ('Awesome Oscillator', 'AO'), ('Bollinger Bands PR', 'BBANDS'), ('Dual Thrust', 'DT'), ('Heikin-Ashi', 'HA'), ('London Breakout', 'LB'), ('MACD Oscillator', 'MACD'), ('Monte Carlo', 'MC'), ('Options Straddle', 'STRADDLE'), ('Pair Trading', 'PAIRS'), ('Parabolic SAR', 'SAR'), ('RSI Pattern', 'RSI'), ('Shooting Star', 'SS'), ('VIX Calculator', 'VIX'), ('Oil Money', 'OIL'), ('Smart Farmers', 'FARM'), ]

def run(): results = [] for name, sym in STRATEGIES: results.append({ 'strategy': name, 'symbol': sym, 'status': 'registered', 'return': 0.0, 'sharpe': 0.0, 'trades': 0, 'source': 'quant-trading/je-suis-tm', }) output = {'generated': datetime.now().isoformat(), 'results': results} with open(OUTPUT, 'w') as f: json.dump(output, f, indent=2) print(f'Registered {len(results)} strategies') return output

if name == 'main': run()