algotrade-strategy
Here are 12 public repositories matching this topic...
Manages COT and price data downloads for further analysis by downstream applications.
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Sep 17, 2026 - Python
Modern, ultra-responsive Cyberpunk / Dark-Themed High-Frequency Trading Terminal built with Next.js 14 App Router, TypeScript, Tailwind CSS, and Socket.IO.
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Sep 15, 2026 - TypeScript
Automated BTC trading bot using Binance Testnet and Telegram, featuring EMA, MACD, RSI, VWAP, and ATR-based algorithmic trading strategies.
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Jun 5, 2026 - Python
XAUUSD Trend-Following Bot Strategy: `EMA` crossover confirmed by an ADX trend filter, with ATR-based stop-loss / take-profit and fixed-fractional (% risk) position sizing.
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Jun 11, 2026 - Python
High-frequency algorithmic trading system designed for Perpetual Futures (Binance & CoinDCX) with Multi-Timeframe AI screening, Order Book Imbalance (OBI) analytics, automated capital protection, and dual-currency (INR / USDT) accounting.
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Sep 15, 2026 - Python
ALPHX Terminal is an institutional-grade cryptocurrency web terminal built with Next.js 14 App Router, TypeScript, Tailwind CSS, and Zustand. Designed for professional traders and quantitative researchers, it pairs with the ALPHX Quantitative Backend to visualize real-time candlestick charts with custom technical overlays (Support/Resistance, Fair
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Sep 16, 2026 - TypeScript
Event-driven portfolio equity-curve simulation with realistic leverage/heat constraints — debugging a $145B modeling bug, calibrating psychologically survivable drawdown, and finding that dynamic risk management (breakeven + pyramiding) helps some strategies and quietly wrecks others.
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Sep 9, 2026 - Python
polymarket trading strategies
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May 25, 2026
Deep statistical dive into Fibonacci retracement trading — testing every level independently, checking window sensitivity, and finding that the "golden ratio" itself isn't uniquely special: the edge comes from a broader support-rejection mechanism.
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Sep 7, 2026 - Python
ALPHX Quantitative Engine is an institutional-grade algorithmic trading backend built in Python with FastAPI. It computes multi-timeframe technical indicators, detects algorithmic price action patterns (Support/Resistance, Fair Value Gaps), executes machine learning ensemble predictions (XGBoost, LightGBM, Deep LSTM), manages mathematical risk and
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Sep 16, 2026 - Python
Self-hosted execution bot for Veskald strategies. Runs on your machine, receives signals from your strategy and sends orders to the exchange with your own API keys. Keys never leave your machine. Mirror of gitlab.com/veskald/veskald-execution-bridge.
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Sep 16, 2026 - Python
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