Detailed Metrics
| Initial Capital | $100,000.00 |
| Final Capital | $100,000.00 |
| Annual Volatility | 0.00% |
| Sortino Ratio | 0.00 |
| Max DD Duration | 0 days |
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Trade Analytics
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| Win Rate | 0.0% |
| Profit Factor | 0.00 |
| Expectancy / trade | $0.00 |
| Reward / Risk (RRR) | 0.00 |
| Avg Win | $0.00 |
| Avg Loss | $0.00 |
| Round Trips | 0 |
| Kelly % | 0.0% |
Last Executed Trades
| Date | Order Type | Shares | Execution Price | Brokerage Fee |
|---|---|---|---|---|
| No execution data available. Press "Run Backtest". | ||||
Manual Order Entry (Simulated)
Market Depth (L2 Order Book)
Transaction Terminal
Quantitative Research Lab
Validating mathematical edge and strategy viability before deploying to the execution engine.
Augmented Dickey-Fuller (ADF) Test
Mean-reversion algorithms (like Bollinger Bands) require the asset's price returns to be stationary (behaving like a spring that always pulls back to a center line) rather than a random walk. The ADF test mathematically measures this spring-like behavior.
Engle-Granger Cointegration
Pairs trading trades two assets simultaneously. We perform an OLS regression of Coca-Cola (KO) against PepsiCo (PEP) to calculate the dynamic Hedge Ratio. The residuals (spread) are then tested for cointegration.
Spread = KO - (0.821 * PEP). When the price points on the scatter plot depart significantly from the OLS line, a mean-reverting trade is triggered.
Signal Orthogonality & Factor Covariance
Examines the covariance structure of individual alpha factors. In institutional quant systems, maintaining factor orthogonality (low cross-correlation) is critical to prevent redundant systematic exposures and preserve diversified alpha capture.