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Start with AI strategy creation, validate the idea in a backtest, then move into paper trading.
Build, backtest, validate, scan, and deploy algorithmic strategies with AI-assisted strategy creation, realistic simulation, market data infrastructure, and broker-connected automation.
Start with AI strategy creation, validate the idea in a backtest, then move into paper trading.
Stress-test assumptions before capital is at risk.
Find opportunities, organize instruments, and automate research workflows.
Convert ideas into executable strategies without losing control over the logic.
Describe a trading idea in plain English and turn it into a structured strategy.
Explore featureCompose rules, conditions, entries, exits, and multi-timeframe logic visually.
Explore featureBuild signals from a broad library of technical indicators and market conditions.
Explore featureReplay historical markets, inspect execution, and test whether an edge survives reality.
Run strategy simulations with visible trades, fills, portfolio state, and replay tooling.
Explore featureModel realistic execution behavior instead of assuming every order fills perfectly.
Explore featureEvaluate how strategy outcomes change across randomized paths and trade sequences.
Explore featureOptimize and validate strategies across out-of-sample windows to reduce overfitting.
Explore featureMeasure drawdown, variance, tax drag, trade quality, and other sources of strategy risk.
Explore featureBreak performance down by market regime, symbol, session, trade type, and more.
Explore featureFind the right instruments, organize universes, and test against clean historical context.
Scan markets for strategies, signals, and rule matches across large instrument sets.
Explore featureSearch instruments, metadata, asset classes, and tradable symbols from one place.
Read documentationCreate reusable instrument collections for research, scanners, and portfolio workflows.
Read documentationWork across supported markets, timeframes, and asset classes as your research expands.
Read documentationMove from validated systems to broker-connected execution with risk controls in place.
Deploy strategies into live or paper environments with broker integrations.
Explore featureApply reusable order and account risk controls before live execution.
Read documentationRoute scanner and trading alerts to the channels where your team already works.
Read documentationConnect Stratifyre to AI clients, workflows, and operational tooling.
Use AI clients to inspect accounts, research strategies, and operate Stratifyre workflows.
Explore featureManage account settings, onboarding, authentication, and platform preferences.
Read documentationUnderstand credits, subscriptions, and usage controls before scaling workloads.
Explore featureExplore the feature set, then build and validate your first strategy with free credits.