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Backtest & Strategy Lab

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Data Integrity & Pro Architecture

Unlike 90% of retail backtesters that show unrealistic profits by "looking into the future," SignalScope is built to institutional standards. Our results are mathematically honest.

Next Bar Open Execution

Signals generated on day X are executed at the Open price of day X+1. We never buy on the same day's close.

Point-in-Time (PIT) Data

Scanners select stocks using only information available at that historical moment. No fundamental look-ahead bias.

Realistic Costs

Built-in Slippage & Commission tracking. See exactly how broker fees impact your net profit (Total Costs).

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Backtest Simulator

๐Ÿงช Mandatory Walk-Forward (WFO): Eliminates curve-fitting. All results are validated on Out-of-Sample data.

๐ŸŽฒ Monte Carlo Simulation: Stress-tests against 1000 random sequences to find real Risk of Ruin & Median Drawdown.

โšก Target Volatility: Risk Parity logic. Dynamically scales positions to maintain a target volatility (e.g., 15%).

๐Ÿ“Š Top N Tickers & Presets: Quality over Quantity. Trade only the best assets by score. Use 1-click Strategy Presets for proven setups (e.g., Quant Growth Elite).

How to use

  • Select strategy type (Long or Short) and Universe.
  • Configure Risk Management (SL, TP, Trailing, Costs).
  • Run simulation and analyze Equity Curve vs Buy & Hold SPY.
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Strategy Optimizer

Grid Search algorithm with mandatory Walk-Forward validation. Automatically tests parameter combinations (SL, TP, Trailing) to find mathematically optimal setups.

๐Ÿงช Mandatory WFO: Optimization results are only valid if they pass the Out-of-Sample blind test.

๐Ÿ›๏ธ Quant Portfolio & Top N: Optimize Markowitz weights and filter assets by highest quality scores.

How to use

  • Define search ranges (e.g., SL from 5% to 15%).
  • Run optimization (may take a few minutes).
  • Review Top-20 Table and click "Apply to Backtest" for final validation.
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Portfolio Optimizer

Markowitz Modern Portfolio Theory (MPT), built to institutional standards to prevent unrealistic expectations.

๐Ÿ“‰ Return Shrinkage: Mathematical adjustment of historical returns to prevent over-optimistic forecasts (Bloomberg standard).

๐Ÿงน Min Weight Filter: Eliminates "dust" positions (e.g., <2%) that are untradeable and destroy profits via commissions.

Visualize allocation with the interactive Donut Chart.

How to use

  • Select scanner universe and period.
  • Choose method (Max Sharpe / Min Volatility / Equal).
  • Get weighted ticker list (e.g., AAPL - 15%, MSFT - 10%).
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Live Signal Monitor

Proactive market radar. Scans the current market and finds setups before they trigger.

โณ Approaching Signals: Don't just see past entries. See assets approaching trigger levels (within 3%) for proactive planning.

โšก Strategy Presets & Top N: Apply proven configurations in one click and filter out the noise to focus on top-scoring assets.

How to use

  • Select scanner and strategy.
  • Set Risk Management parameters in the UI panel.
  • Click "Scan Now".
  • Click "Track" to send to monitoring with your risk params.
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Signal Tracker

Full Paper Trading Engine. Monitors positions added from Live Signals, fetches EOD prices, calculates PnL in $$, and executes auto-exits.

๐Ÿ’ต Realistic Accounting: Tracks slippage and commissions on entry/exit to show true net profit.

๐Ÿ““ Trade Journal Integration: Closing a position automatically logs it to the Journal with exit reason and final PnL for review.

Workflow Chain: Live Signals (Entry + Risk) โ†’ Tracker (Paper Trading) โ†’ Journal (Review & Learn).

How to use

  • Tickers are added via the "Track" button with risk params.
  • Check the page after market close for updated EOD PnL.
  • Monitor Exit Signals (e.g., ๐ŸŽฏ TP hit or ๐Ÿ›‘ SL hit).
  • Dashboard shows Average PnL and active Exit Signals.