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Develop and compare trading strategies in a Windows backtesting workspace

Build trading algorithms with AI, backtest them, then execute on one platform.

Assemble portfolio backtests from reusable Python rules

Collect market history and test several strategies in one portfolio

Generate trading rules and test how their results withstand changes

Onchain limit, range and recurring trading strategies

French-language crypto purchases, packs and recurring strategies

Build visual or coded strategies and manage their market data

AI trading copilot for market research, strategy and execution.

Host coded or visual strategies through shared broker connections

Build custom market scans and test chart-based strategies

Automates Kubernetes canary and blue-green rollouts using traffic analysis and validation checks.

Find quantitative trading ideas and examine the research behind them

Turn Conventional Commits into reviewed release pull requests.

Coordinate multi-cloud releases with trigger-driven deployment pipelines.

Control Kubernetes canary and blue-green releases with staged traffic shifts and promotion or rollback rules.

Token swaps and liquidity that can follow price movements

Track investments in the app or Robinhood Legend

Turn stock-ranking ideas into screens and portfolio simulations

Research and backtest quantitative strategies in notebooks and code

AI marketing assistant that builds ICPs, strategies, ads and social content for agencies and consultants.

Turn collaborative whiteboard ideas into visible tasks and project work.

AI-driven portfolio management from an SEC-registered adviser.

A .NET unit-testing framework for C#, F#, and Visual Basic projects.