Scan your price data for trading strategies — honestly. It backtests hundreds of classic setups, ranks them into a leaderboard, then does what hype tools won't: it corrects the best Sharpe for how many you tried (Deflated Sharpe), checks out-of-sample survival, and estimates overfit probability — so a great-looking curve is a hypothesis to test, not a strategy to trade. Leave it scanning overnight; it only gets more skeptical the longer it runs. Self-contained HTML report.
Paste your broker statement and get an institutional-grade performance review: win rate, profit factor, expectancy, drawdown, and the one fix that matters most — delivered as a beautiful interactive HTML report.
Build a budget that actually sticks: 50/30/20 and zero-based methods, tracker templates, and debt payoff plans.
Consistent two-horizon stock analysis — verified numbers, explicit bear case, no hype
A historical backtesting and validation-research protocol for algorithmic trading strategies: it treats your entry/exit/TP-SL/capital/leverage as fixed test inputs, stress-tests them with real costs and anti-overfit gates (plateau rule, walk-forward, random control, per-year robustness), and reports a research verdict (VALIDATION GATES PASSED / FAILED / INSUFFICIENT EVIDENCE). Analysis only: never deployment, sizing, leverage, or allocation advice.
Autonomous competitor teardowns, feature & pricing matrices, and strategic SWOT dossiers built with zero paid API keys.
Discover, backtest and validate US stock trading strategies, pick from any universe, and generate an IBKR paper-trading deployment script. No API keys, free daily data, institutional anti-overfit validation.
Rebuild a spreadsheet of hardcoded numbers — the kind that breaks when you change one cell and that nobody trusts enough to take to a board or VC — into a driver-based, three-statement linked model you can actually stress. Scope by purpose, build a driver tree (price × volume × retention, not a growth rate from thin air), link P&L → Balance Sheet → Cash Flow, centralize inputs in one assumption layer, run base/bull/bear scenarios with sensitivity, and sanity-check against benchmarks.
Use when you paste today’s portfolio or watchlist snapshot before a daily review. For self-directed investors who want consistent questions, not a market-data feed. Proof: checks every pasted position on 8 fixed risk and thesis axes, then labels missing evidence [UNVERIFIED]. It reasons only from the numbers and notes you supply.