x2strategy
Convert quantitative research into reviewable specs, backtests, and diagnostic reports
Convert quantitative research into reviewable specs, backtests, and diagnostic reports
X2Strategy turns quantitative-finance papers, drafts, reports, or text ideas into structured strategy specifications before generating Backtrader code. It parses multiple formats, extracts indicators, signal logic, execution details and risk controls, validates syntax and framework structure, runs backtests, and diagnoses deviations from reported performance. Ambiguities can be flagged for human review and supplemented with user instructions or verified references. A Python environment and model API key are required, and outputs are not automatically suitable for live trading.
Resource types
Use cases
Platforms
Query on-chain data and prepare swaps, transfers, and gasless transaction flows.
Give AI clients market data, technical analysis, screeners, and backtests.
Runtime
Capabilities
Public GitHub facts last synced Jul 14, 2026.
Add reusable financial analysis skills to your AI agent.
Apply framework-specific Claude skills to compliance assessments, control mapping, policies, and technical guidance.