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.

Works withChatGPTClaudeGrok
A quick introduction

See WhaleRider in 42 seconds.

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.

Explore a strategyChoose an example to see the idea and its recorded results.
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Strategy workflowPIVOT_SPRING · Current definition preview
Example request

Create a long-only trade plan for common stocks with point-in-time NASDAQ-100 membership. Look for financially strong stocks that dip below monthly S2 support, then recover above weekly S2.

WhaleRider

Created and validated PIVOT_SPRING_TRADE_PLAN with the sequential pivot setup, fundamental thresholds, and ATR controls.

Explore definitions and results →
RECORDED BACKTESTPIVOT_SPRING · Jan 2016–Jun 2026
Completed
+980.99%Total return
1,114Trades
$1,080,993.96Ending realized equity
Realized account valueWeekly · Jan 2016–Jun 2026
-91,758231,317554,391877,4661,200,5401,523,615Start 100,000End 1,080,994Jan 2016Aug 2018Apr 2021Nov 2023Jul 2026

Trade candlesticks

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

VS Code IntelliSense

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

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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 and financial data, including price bars, financial statements, analyst grades, company rating scores, institutional ownership, Treasury yields, 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.

See the real AI workflow behind the product.

Explore Weak IBS, Pivot Spring, and QQQ MFI with current validated definitions and the latest completed simulation results.

Open the real workflow →