Backtesting methodology and trading performance analytics for MetaTrader strategies. Covers MT5 Strategy Tester configuration, walk-forward and Monte Carlo analysis, overfitting detection, performance metric computation (Sharpe, Calmar, Profit Factor, drawdown), Python-based pandas evaluation pipelines, imported HTML report parsing, and experiment tracking for EA variants.
Plugin metatrader-research from marketplace metatrader-skills in algotradingspace-dev/metatrader-skills. Commands read from the repo's manifest — 1 month ago.
analyticsMetaTrader analytics and research workflows in Python. Use for: analysing backtest outputs and trade histories; computing performance metrics (drawdown, Sharpe, Profit Factor, Calmar, recovery, expectancy); building pandas-based evaluation pipelines; comparing EA variants and parameter sets; perform
backtest-analysisBacktesting methodology and performance analysis for MQL5 EAs. Use for: interpreting backtest metrics (Profit Factor, Sharpe, Calmar, Max DD, Recovery Factor); overfitting and curve-fitting detection; walk-forward testing protocol; custom OnTester() optimisation criteria; Monte Carlo simulation fram
imported-backtestHandles importing MT5 Strategy Tester HTML reports uploaded by users as first-class backtest results. Covers parsing via the canonical ReportParser, equity reconstruction from broker or Darwinex fallback price data, broker server resolution, and integrating imported results into comparison and analy
End-to-end MQL5 Expert Advisor development: EA architecture (5-layer wiring, OnTick, IsNewBar), risk engine (position sizing, drawdown guards, prop firm rules), signal generation (SMC/ICT, indicators, multi-timeframe confluence), market regime detection (trend/range, volatility, session, news filters), and trade lifecycle management (trailing stops, breakeven, partial closes, pyramiding).
11 skills
MetaTrader 4/5 platform operations, Python API integration, and HTTP API bridge usage. Covers terminal installation and configuration (Windows/macOS/Linux), SSL/certificate management, 2FA/TOTP setup, MetaTrader5 Python package workflows, mt5-httpapi bridge for REST-based account/symbol/trade data, and platform automation scripts.
3 skills
Comprehensive MQL4/MQL5 development reference for MetaTrader 4 and 5: language syntax for both dialects, OOP and EA architecture patterns, order/position and risk operations, custom indicators and UI panels, WebRequest/REST/JSON external communication, Strategy Tester and walk-forward backtesting, code protection and licensing, and MQL4-to-MQL5 migration. Vendored verbatim from ThomasPraun/mql-developer.
1 skill
MetaTrader 5 trading via REST for a running mt5-httpapi bridge — market data, orders, positions, history, and server-side technical analysis.
1 skill
Forex macroeconomic fundamentals reference. Interprets CPI, GDP, NFP, PMI, rate decisions, employment, trade balance, current account, housing, wages, and confidence/survey releases across USD, EUR, GBP, GER, JPY, CAD, AUD, NZD, CHF, and CNY, with trading context and high-value release ranking per currency.
1 skill
Elite TypeScript/React fintech and trading systems engineering: decimal-safe money arithmetic, trading metric implementations (Sharpe, Calmar, Drawdown, Profit Factor), real-time WebSocket market data feeds on Cloudflare Durable Objects, live-price React hooks, trading dashboard UI (PriceTicker, OrderBook), and OHLCV ingestion pipelines.
1 skill
Neural trading strategies — self-learning LSTM/Transformer/N-BEATS models with Rust/NAPI backtesting
9 skills · 1 command · 4 agents
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
1 MCP server
Quantitative analysis, algorithmic trading strategies, financial modeling, portfolio risk management, and backtesting
2 skills · 2 agents
Price bonds, analyze yield curves, evaluate FX carry trades, value options, and build macro dashboards using LSEG financial data and analytics.
8 skills · 8 commands · 1 MCP server
Price bonds, analyze yield curves, evaluate FX carry trades, value options, and build macro dashboards using LSEG financial data and analytics.
8 skills · 8 commands · 1 MCP server
End-to-end feature-flag discipline: classify, ship, ramp, retire. Detects stale flags as debt, generates phased rollout plans (ring/linear/log/cohort), and audits every flag for a documented kill switch. 3 stdlib Python tools, 4 references on flag taxonomy + provider trade-offs (LaunchDarkly/GrowthBook/Statsig/Unleash/Flipt/DIY) + rollout strategies + lifecycle. /flag-cleanup slash command. Cross-tool compatible.
1 skill
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