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advanced-math-tradingsimulation-inference
Monte Carlo, SDE simulation, Brownian/jump processes, discretization schemes.
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advanced-math-tradingtime-series-regimes
Time series modeling, stationarity, ARIMA/GARCH, SDEs, and regime detection for trading.
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iron-condor
Analyzes iron condor credit spreads with OTM put and call spreads for range-bound trading. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting sideways price action, want...
GitHub
bond-benchmarking
Compare bond performance against market benchmarks and indices. Analyzes yield spreads, duration matching, and relative value. Requires numpy>=1.24.0, pandas>=2.0.0. Use when evaluating bonds against peers, mea...
GitHub
advanced-math-tradingportfolio-factors
Factor modeling and portfolio construction (Markowitz, Black-Litterman, constraints, turnover).
GitHub
financial-analysis
Comprehensive financial statement analysis including ratio calculation, trend analysis, and peer comparison. Evaluates liquidity, profitability, efficiency, and leverage metrics. Requires numpy>=1.24.0, pandas>...
GitHub
bond-pricing
Price fixed income securities using present value, yield-to-maturity, and market conventions. Handles treasuries, corporates, municipals with various coupon frequencies. Requires numpy>=1.24.0, pandas>=2.0.0, s...
GitHub
advanced-math-tradingrobustness-risk
Tail risk, EVT, regularization, validation guardrails, and common pitfalls.
GitHub
long-call-butterfly
Analyzes long call butterfly spreads with 3 strikes and 4 legs for neutral outlook. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting minimal price movement, want low-c...
GitHub
bear-put-spread
Analyzes bear-put-spread debit spreads for bearish directional plays with defined risk. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting moderate price decline, compar...
GitHub
advanced-math-tradingmicrostructure-game
Game theory, network/systemic risk views, queueing/order-book, exchange notes.
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protective-collar
Analyzes protective collar strategies combining long stock, long put protection, and short call income. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0. Use when protecting stock positions with reduced...
GitHub
bull-call-spread
Analyzes bull-call-spread debit spreads for bullish directional plays with defined risk. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting moderate price increase, comp...
GitHub
long-strangle
Analyzes long strangle volatility plays with OTM call and put at different strikes. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting very large price movement, want lo...
GitHub
advanced-math-tradinginformation-causal
Information theory (entropy/MI/TE) and causal inference for trading signals.
GitHub
advanced-math-tradingexecution-control
Optimal execution, control theory, queueing/order-book, exchange microstructure.
GitHub
python-docs
Expert in writing PEP 257 compliant docstrings using Google-style format with custom parameter separator. Use when writing or updating Python documentation.
GitHub
code-review
Expert in conducting thorough code reviews for Python projects using GitHub MCP, covering test coverage, security practices, PEP 8 compliance, and code organization. Use when reviewing code or PRs.
GitHub
python-basics
Expert in Python 3.10+ fundamentals and best practices for the Drift project including import ordering (isort), code organization, and PEP 8 conventions. Use when writing or reviewing Python code.
GitHub
testing
Expert in creating comprehensive pytest test suites for Drift project with strict 90%+ coverage requirements. Specializes in unit tests, integration tests, mocking external APIs (Anthropic, AWS Bedrock), and co...
GitHub
github-operations
Expert in GitHub workflows including issue management, PR operations, and branch conventions. Use when working with GitHub via MCP.
GitHub
commit-messages
Expert in writing concise, factual git commit messages for Drift project without AI fluff. Use when committing code changes, creating releases, or reviewing commit history before PRs.
GitHub
issue-writing
Expert in creating well-structured GitHub issues with clear problem statements, specific acceptance criteria, and actionable technical context using GitHub MCP. Specializes in feature requests, bug reports, and...
GitHub
pr-writing
Expert in creating well-structured pull requests with clear summaries. Use when writing or structuring PRs.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.