Understanding This Data Backtest = Simulated results using historical data. Shows what would have happened, not what will happen. Subject to look-ahead bias, survivorship bias, and execution assumptions. Live Data = Real-time database statistics and current prices. Forward-Looking = Algorithm-generated picks for future trades. Unproven until markets validate them. Past backtest performance does NOT predict future results. All simulations assume $10,000 starting capital, 10% position sizing, $10 round-trip commission, and 0.5% slippage unless otherwise noted.
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Live System Health
Real-time check of database connectivity, data freshness, and price coverage. A healthy system shows all green. Data Freshness checks if the most recent picks are from 2026. Price Coverage checks if daily prices are up to date.
Live Algorithm Performance Summary
Each algorithm generates stock picks with a confidence score (0-100). Avg Score is the mean confidence across all picks. Status: Strong (80+), Moderate (60-79), Weak (<60). Scores reflect the algorithm's internal confidence, not realized returns.
Algorithm
Picks
Avg Score
Status
Backtest Strategy Rankings
Each strategy applies different TP% / SL% / hold period rules to ALL picks and backtests against historical prices. Return % is total portfolio return on $10,000. Win Rate is % of trades that were profitable. Rankings are pre-computed by our nightly automation and cached.
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Strategy
Return %
Win Rate
Verdict
Backtest Top Performing Trades
The 10 best-performing historical trades from our backtest engine. Uses TP=50%, SL=10%, 30-day max hold on $10,000 capital. P&L is net profit after $10 commission and 0.5% slippage per trade. These are simulated past results, not live trades.
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Ticker
Algorithm
Entry
Exit
Return %
P&L
Hold Days
Backtest Worst Performing Trades
The 10 worst-performing historical trades using the same backtest parameters. Reviewing losses is critical for understanding risk. These losses are simulated — they show what would have happened with those parameters on past picks.
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Ticker
Algorithm
Entry
Exit
Return %
P&L
Hold Days
Backtest Learning Algorithm Recommendations
Our self-learning engine tests 180 parameter combinations (6 TP x 6 SL x 5 hold periods) per algorithm to find optimal settings. It compares each algo's current return vs best possible return and recommends parameter changes. Results are pre-computed by the nightly GitHub Actions pipeline. Heavy computation — uses cached results on page load.
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Backtest Bear Market / Short Opportunity Analysis
Identifies stocks that declined after our algorithms issued a BUY signal. These "failed longs" reveal potential short/inverse opportunities. Short Profit % = what you'd earn if you shorted instead of buying. Also proposes conceptual inverse algorithms. Requires on-demand computation.
Backtest Exhaustive Parameter Scan
Brute-force tests 1,287 combinations of Take Profit (1-50%), Stop Loss (1-25%), and Hold Period (1-60 days) to find the absolute best parameters across all algorithms. Warning: This is the most computationally intensive operation — it may take 30-60 seconds or time out on first run. Results are pre-computed when available.
Live Recent Activity Log
Shows recent automated actions: learning runs, parameter adjustments, and data refreshes. Populated by the GitHub Actions nightly pipeline and on-demand analyses.
Time
Action
Details
Important Disclaimer
This tool is for educational and research purposes only and does not constitute financial advice, investment advice, trading advice, or any other sort of advice.
Nothing on this page should be construed as a recommendation or solicitation to buy or sell any security or financial product.
No fiduciary relationship is created between you and the operators of this website by your use of this tool.
You are solely responsible for your own investment decisions. All investments involve risk, including the possible loss of principal.
Past performance does not guarantee future results. Backtests and algorithm rankings are based on historical data, may contain errors, and may not reflect real-world execution, slippage, or market conditions.
Data is sourced from third parties (Yahoo Finance) and may be delayed, inaccurate, or incomplete. The operators of this website make no warranties regarding the accuracy, completeness, or timeliness of any information provided.
Consult a licensed financial adviser before making any investment decisions.
By using this tool you acknowledge that you have read and understood this disclaimer and agree that the operators shall not be held liable for any losses arising from your use of this information.