SYSTEMATIC TRADING STRATEGIES

Build. Simulate. Analyze.

Describe a strategy in plain English. WhaleRider creates validated rules, runs a historical simulation, and gives you results you can inspect and refine.

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Works with ChatGPT

A quick introduction

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From rules described in plain English to validated definitions, historical simulation, and trade-level analysis.

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From idea to deterministic backtest, in plain English.

Describe your rules in conversation. WhaleRider validates the definitions, runs the historical simulation, and keeps the results ready to inspect.

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A real conversationPIVOT_SPRING · recorded research session

You

Create a long-only trade plan named PIVOT_SPRING_TRADE_PLAN. Trade common stocks with point-in-time NASDAQ-100 membership and look for financially strong stocks that recover from monthly support.

WhaleRider

Created and validated the trade plan. Definition ID: 6ac66c292d45d7263f24a0c2

01 · Describe02 · Validate03 · Simulate04 · Analyze

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RECORDED BACKTESTPIVOT_SPRING · 2021–2025

Completed

+126.13%Total return

496Trades

$226,130.69Ending realized equity

Realized account valueWeekly · 2021–2025

Annual realized returnsFrom the same run

Built for systematic and quantitative trading research.

Develop rule-based trading strategies, backtest them against historical market and financial data, and analyze performance, trades, and drawdowns. WhaleRider brings algorithmic strategy research into your preferred AI workflow.

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Works your way

Use MCP trading tools for LLM trading research and AI-assisted backtesting in ChatGPT, Claude, or Grok.

VS Code IntelliSense

Develop and edit systematic trading strategies with schema-aware completion, hover documentation, and strategy validation through the WhaleRider VS Code plugin.

CLI for advanced users

Automate strategy validation, historical simulation, and portfolio simulation from your terminal.

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Fully featured language

Define rule-based strategies with technical indicators, signals, entry and exit rules, and risk controls. Turn natural-language strategy definitions into precise, validated artifacts.

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Multi-domain data

Combine historical market data and financial data for technical and fundamental analysis, including candles, fundamentals, ratios, financial statements, and macroeconomic indicators.

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Historical backtesting

Run stock backtesting and portfolio simulation, then explore strategy performance, trade analysis, risk analysis, drawdown analysis, and equity curves.