QuantRocket

Use Pipeline to screen for correlated stocks.

Backtest a mean-reversion strategy using Zipline.

Deploy the strategy to live trading via the API.

Monitor performance and adjust parameters as needed.

Use Pipeline to access fundamental data from Sharadar.

Analyze factor performance with Alphalens.

Backtest a factor-based portfolio using Moonshot.

Optimize factor weights for maximum risk-adjusted return.

Use MoonshotML to preprocess historical price data.

Train a machine learning model (e.g., LSTM) to predict returns.

Backtest the model using walk-forward optimization.

Implement the model in a live trading environment.

Access options data via the API.

Calculate implied volatility using market prices.

Backtest a volatility arbitrage strategy using Zipline or Moonshot.

Execute trades based on volatility discrepancies.

Monitor news feeds and economic calendars for relevant events.

Use Pipeline to screen for stocks affected by the events.

Backtest a strategy that trades based on event outcomes using Zipline.

Automate order execution based on pre-defined rules.