Frequently asked questions about Maple Research: what it is, whether it gives financial advice, how backtesting works, and what data and technology it uses.
Maple Research is a quantitative research platform for testing and validating trading strategies. It backtests strategies against historical market data and checks the results for overfitting, small-sample unreliability, and other common statistical problems, so traders can better judge how much a backtest is actually worth trusting.
No. Maple is research and educational software. Nothing it produces — a backtest, a confidence score, or AI commentary — is a recommendation to buy, sell, or hold any asset. Users are responsible for their own decisions and should consider speaking with a licensed financial professional before making any financial decision.
No. Maple does not connect to a brokerage or exchange, does not place real orders, and does not move real money under any circumstance. Maple's paper trading feature simulates a strategy's behavior against live prices using virtual capital only, purely for research purposes.
No. Maple makes no promise of profit, accuracy, or future performance. Backtests are hypothetical and simulated; hypothetical and past performance do not guarantee or indicate future results.
Backtesting is the process of running a set of trading rules against historical market data to see how they would have performed. Maple's backtests are deterministic — the same strategy tested against the same data always produces the same result.
Overfitting happens when a strategy is tuned so precisely to a specific historical dataset that it captures noise rather than a real, repeatable pattern — producing a backtest that looks excellent but fails to hold up on new data. Maple's validators are specifically designed to catch signs of overfitting before a trader puts weight on a result.
Maple sources historical and live market data from established third-party providers, covering both cryptocurrency and traditional equity markets. See the Technology page for more detail on how that data is handled.
Maple is currently in a private, invite-only alpha and is free to use during this phase. Pricing beyond the alpha has not been determined.
During the private alpha, access is invite-only via an access code, distributed through Maple's Discord community.
Maple uses AI to help translate plain-English trading ideas into structured, testable strategies and to generate plain-language commentary on results. The underlying calculations — backtests, scores, and validators — come from a deterministic engine, not from the AI model itself.