stochastly Start free trial

Product, research & documentation

Your quantitative research desk What is Stochastly?Pricing Stochastly compared Stochastly vs QuantConnect QuantConnect alternativesStochastly vs Build AlphaBuild Alpha alternativesStochastly vs AmiBrokerStochastly vs TradingViewTradingView Strategy Tester alternativesStochastly vs MetaTrader 5Stochastly vs NinjaTraderStochastly vs NautilusTraderStochastly vs BacktraderStochastly vs ComposerStochastly vs Portfolio123Stochastly vs RealTestStochastly vs Wealth-Lab 8Stochastly vs FreqtradeStochastly vs vectorbt PROStochastly vs QuantRocketStochastly vs StrategyQuant X StrategyQuant alternativesStochastly vs Papers With BacktestAffiliate program Credits Enterprise research software on requestHow to verify StochastlyRisk disclosure Export targets and coverage threshold How to find an edge without fooling yourself Execution costs and market impact Machine learning strategies, validated Macro and alternative data, point in time Options and volatility on bars Portfolios and books of strategies Prop-firm evaluations as first passage Risk and position sizing in R Install Stochastly on Windows MCP server reference Node graph reference Documentation Help and questions Legal notice Partner program Privacy policy An assistant that acts on the app The causality gate, validated kernel by kernel A figure for each display Code editor and custom nodes Export to Pine Script, MQL5 and Python How the app checks itself Runs locally, on your own data MCP server for coding agents Research paper export Research sessions with several agents Backtesting, guards and exports Causality and look-ahead leakage What an exported file reproduces Validity domain and known gaps Measurement protocol Statistical methods in the engineBest Sharpe ratio of N strategies with no edgeRoadmap Version Terms of use and sale Product facts & attributions Research journal Overfitting in strategy research Validation in event time — Stochastly Journal From a backtest to executable rules Calculators for strategy validation Deflated Sharpe ratio calculator Minimum track record length calculator Trading cost break-even calculator Prop firm challenge simulator PBO calculator Pine Script look-ahead checker Learn backtesting and strategy validationOverfitting in trading, explainedWalk-forward analysis for tradingSharpe vs Sortino ratio in backtests Survivorship bias in backtesting Transaction costs and slippage in backtests Purged k-fold and CPCV for financeMultiple testing in trading researchMinimum track record length for SharpeMonte Carlo permutation test for signalsRegime change in backtestingLook-ahead bias in backtestingPoint-in-time data and vintages Signal timestamps and execution delayParameter robustness in backtestingProbability of backtest overfitting (PBO)Deflated Sharpe ratio, explained Prop firm challenge pass probabilityHow to backtest a trading strategyPine Script backtest validationMQL5 Expert Advisor robustness testExport a Python strategy to MQL5Monte Carlo simulation for tradingIn-sample vs out-of-sample testingGlossary of quantitative research termsQuantitative research library Backtest overfitting: the research library Research method: rules for tests that can fail Statistics for traders: the research library Machine learning in finance: research notes Risk and portfolio construction: the library Trading strategies: what the research found Market practice: evidence on how trading works Market microstructure: the research library Market data practices for backtesting Econophysics: the research libraryPeople who shaped quantitative tradingEngine notes: bars, custom code and tests About Stochastly Import data and build a first graph Read a verdict and export a strategy Press kit Three executable product guards

Quantitative research with AI.Legal Privacy Press kit Disclosures

Python and its logos: Python Software Foundation. Rust logo: Rust Foundation, CC BY; unchanged. C++ logo: Standard C++ Foundation / Jeremy Kratz. Pine Script: TradingView. MQL5 and MetaTrader: MetaQuotes. Google and GitHub logos: Google LLC and GitHub, Inc., shown on sign-in buttons. Brand names identify languages, clients and sign-in providers. Stochastly is independently developed. Attributions & brand use.

Search pages

Using Stochastly

1 notes