Tradestation Trader-trading platform for all traders

Example

Using EasyLanguage, traders can develop strategies tailored to their specific trading criteria. For example, a trader might develop a strategy that buys a stock when its 50-day moving average crosses above its 200-day moving average and sells when the opposite occurs.

Scenario

A trader wants to automate a strategy based on moving average crossovers to eliminate emotional decision-making and improve execution speed. They code the strategy in EasyLanguage, backtest it to refine the parameters, and then set it to trade live with predefined risk management rules.

Example

Tradestation Trader allows users to test their strategies on historical data to see how they would have performed. For instance, a user backtests a mean-reversion strategy on 10 years of S&P 500 data to evaluate its profitability and risk metrics.

Scenario

Before committing real capital, a user wants to ensure their strategy is robust. They backtest it across different market conditions and optimize parameters to maximize returns while minimizing drawdowns. This process helps in refining the strategy and building confidence in its potential performance.

Example

Once a strategy is backtested and optimized, it can be automated to execute trades in real-time. For example, a user sets up an automated trading system that trades based on signals from a custom volatility breakout strategy.

Scenario

A trader wants to capitalize on intraday volatility without having to monitor the markets constantly. They develop a strategy that identifies breakout points, and set it to execute trades automatically during trading hours. The system manages entries, exits, and position sizing, allowing the trader to focus on strategy refinement.