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QuantConnect Client Strategies

A collection of algorithmic trading strategy projects built for clients on the QuantConnect LEAN platform. Includes backtested strategies across equities, options, and crypto.

Strategies

Strategy Asset Class Description
momentum_equity.py US Equities 12-1 momentum factor with monthly rebalance
mean_reversion_atr.py US Equities Z-score entry with ATR-based stop loss
portfolio_rebalance.py Multi-Asset Equal-weight rebalancing with drift threshold
options_hedge.py Options Delta-neutral hedge overlay using SPY puts
triangular_arb.py Crypto Cross-exchange triangular arbitrage scanner

Performance Summary

Strategy CAGR Sharpe Max DD
Momentum Equity 18.4% 1.42 -14.2%
Mean Reversion 12.7% 1.18 -9.8%
Portfolio Rebalance 11.2% 0.98 -11.5%

Usage

Upload .py files to QuantConnect Research Environment, or run locally:

pip install lean
lean backtest "MomentumEquity"

Requirements

  • QuantConnect account or LEAN CLI
  • Python 3.8+

License

Private — developed for client use

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