Stock Swing Trading Strategy Evaluator
Stock Data & Simulation Setup
Ensure data is sequential (oldest first). Date can be any text or YYYY-MM-DD. Open, High, Low, Close are required. Volume is optional but good for context if your strategy uses it (this basic version doesn't actively use volume in its logic). Minimum Long MA Period
data points required.
Strategy Parameters (SMA Entry, ATR Exits - Long Only)
Buy when Close crosses above this SMA.
Stop-Loss = Entry Price - (Multiplier * ATR)
Take-Profit = Entry Price + (Multiplier * ATR)
Backtest Results for Your Stock
Trade Log (Last 50 Trades):
Trade log will appear here after running the backtest...
Important Notes & Limitations:
- This tool backtests your defined swing trading strategy (SMA entry, ATR-based exits) using the historical data you provided.
- Entry Signal: Buys when the closing price crosses above the specified Simple Moving Average (SMA). Sells (exits position) based on ATR stop-loss or take-profit. This is a long-only strategy.
- Buy & Hold Benchmark: Buys the stock at the start of the usable data period (after initial MA/ATR calculation) and holds until the end.
- Past Performance is Not Future Guarantee: Historical results do not predict future outcomes.
- No Slippage: Assumes trades execute exactly at the calculated entry, stop-loss, or take-profit prices. Real-world slippage can impact results.
- No Taxes: Capital gains taxes are not considered.
- Data Quality: The accuracy of the backtest depends entirely on the quality and consistency of the historical data entered.
- Optimization Bias: Repeatedly testing different parameters on the same historical data can lead to over-optimized strategies that may not perform well in the future.