What Is Stratifyre?

Stratifyre is a no-code algorithmic trading platform that gives every trader access to institutional-grade tools. You can build sophisticated trading strategies, test them against years of historical data, scan markets in real time, and (soon) execute trades automatically — all without writing a single line of code.

Whether you are a self-directed retail trader exploring your first systematic approach or a seasoned professional looking for faster iteration, Stratifyre handles the heavy lifting so you can focus on your trading ideas.

Who Is Stratifyre For?

• Discretionary traders who want to validate hunches with hard data before risking real money.
• Aspiring quants who understand markets but do not want to spend months learning a programming language.
• Active traders who need to monitor hundreds of instruments for specific setups simultaneously.
• Educators and students who want to study strategy performance across different market conditions.
• Professional traders who want rapid prototyping without waiting on a development team.

No programming experience is required. If you can describe a trading idea in plain language — for example, “buy when the 20-day moving average crosses above the 50-day moving average” — you can build, test, and refine it in Stratifyre.

What Can You Do With Stratifyre?

Build Strategies Visually

The Strategy Builder lets you assemble trading rules through a visual interface. Pick from a deep built-in indicator library, 15 condition operators, and multiple order types. Combine them into entry rules, exit rules, and risk management logic.

Need something more advanced? Use dynamic expressions to create custom calculations, or leverage multi-timeframe support to blend signals from different bar sizes — for example, a daily trend filter combined with a 5-minute entry trigger.

You can even describe your strategy in plain English and let the AI assistant convert it into rules for you.

Tip

If you are just getting started, head to the Quickstart guide to build your first strategy in about five minutes.

Backtest With Institutional-Grade Data

The Backtesting Engine replays your strategy against real historical market data so you can see exactly how it would have performed. Stratifyre goes far beyond simple profit-and-loss numbers:

• 10 asset classes — equities, crypto, futures, forex, options, and more.
• 11+ time resolutions — from tick-level data up to yearly bars.
• 20+ years of history — powered by Databento and Binance.
• Realistic execution modeling — slippage, volume constraints, partial fills, and commissions are all factored in.
• 70+ performance metrics — Sharpe ratio, maximum drawdown, profit factor, win rate, and dozens more.
• Monte Carlo simulation — stress-test your strategy across thousands of randomized scenarios.
• Tax analysis and corporate actions — dividends, splits, and tax impact are handled automatically.

Debug With Strategy Replay

One of Stratifyre’s most powerful features is Strategy Replay — a visual time-travel debugger for your backtests. Instead of staring at a summary table, you can step through your strategy bar by bar, watching exactly what the engine saw and why each decision was made. This makes it dramatically easier to spot rule errors, understand edge cases, and refine your logic.

Scan Markets in Real Time

The Market Scanner monitors over 1,000 instruments simultaneously and sends you alerts the moment your conditions are met. Choose from multiple update frequencies — from tick-by-tick to daily — and receive notifications through webhooks, Discord, Slack, email, or SMS.

Use scanners to surface opportunities you would otherwise miss, or to keep tabs on existing positions across a large watchlist.

Trade Live (Coming Soon)

Stratifyre is building direct broker integrations with 9 brokers and crypto exchanges — including Alpaca, Interactive Brokers, TradeStation, Tradier, Binance, Bybit, Coinbase, OKX, and Kraken. Once live trading launches, you will be able to connect your brokerage account, run strategies in paper mode to verify behavior, and then flip to live execution — all managed from the same platform with built-in risk controls and session management.

What Makes Stratifyre Different?

Feature	Stratifyre	Typical DIY Approach
No-code strategy building	Visual builder + AI conversion	Months learning Python or Pine Script
Institutional data quality	Databento + Binance feeds	Free data with gaps and survivorship bias
Realistic simulation	Slippage, partial fills, volume limits	Assumes perfect fills at close price
Visual debugging	Strategy Replay (time-travel)	Print statements and log files
Multi-asset coverage	10 asset classes, 20+ years history	Usually limited to one asset class

The End-to-End Workflow

Stratifyre is designed around a four-stage workflow:

1. Build — Create your strategy in the Strategy Builder using visual rules, the expression language, or AI-assisted natural language input.
2. Backtest — Run your strategy against historical data. Review performance metrics, inspect individual trades, and use Strategy Replay to debug edge cases.
3. Scan — Deploy scanners to watch the live market for your strategy’s conditions across hundreds or thousands of instruments.
4. Trade — (Coming soon) Connect a broker and execute your strategy in paper or live mode with automated risk management.

Each stage feeds into the next. A backtest might reveal that your entry logic triggers too often, so you tighten the rules. A scanner might surface instruments you had not considered, so you backtest them. The cycle of building, testing, scanning, and refining is where real edge is found.

Next Steps

• Quickstart — Build and backtest your first strategy in about five minutes.
• Key Concepts — Learn the essential vocabulary and ideas behind the platform.
• Navigating the App — Take a tour of the main interface areas.