algotrader

An extensible framework for high-frequency trading built on top of Alpaca and Yahoo Finance.

This project is part of a bigger one. I want to make Algo Trading Easy for you! You can find examples and more information in the documentation. easyT, easyTo trade, easyTo use!

Discover the trading in Python with many strategies, including deep learning approaches. TradingInPython is an open software platform that empowers traders with advanced tools for stock market analysis and trading strategies. Leverage data-driven insights and automate your trading decisions with an open, flexible solution.

Live TopstepX bot trading on futures, AI-graded entries (Chronos+XGBoost) with a PPO-learned trailing-stop exit.

revX-algotrader – An open-source, async-first algorithmic trading engine built in Rust for the Revolut X exchange. Features authenticated REST API client with Ed25519 signing, SQLite-backed trade history, modular strategy framework, and cross-compilation support for RPi deployment. Includes dry-run mode for safe testing before live trading.

😈☄️🌕 automated paper trading algorithm, hosted on aws lambda as an api, using self-scheduled calls to execute trade orders on alpaca.

The StratagemIQ App allows users to manage a wishlist of stocks, view real-time stock prices, and execute buy/sell orders using the Kite Connect API. Users can manage multiple accounts and securely store their

Council of LLMs BTC Trading Strategy

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.

LLM-agnostic agent harness for trading futures on Claude Code, Codex, or Qwen Code, with a risk-gated order path and pluggable broker MCP servers (TopstepX default).

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.

Price the client's risk, work it out of the book, finish flat. Fines −82%, P&L/vol ×4.

Interactive pre-trade options workstation in Python & Streamlit: BSM, CRR Binomial & Monte Carlo pricing, 1st/2nd-order Greeks, IV solver, 12 strategies & VaR.

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

Honest strategy research for coding agents: backtest and Alpaca paper trading with one decision function and an evidence record agents cannot quietly bend.

Modern, ultra-responsive Cyberpunk / Dark-Themed High-Frequency Trading Terminal built with Next.js 14 App Router, TypeScript, Tailwind CSS, and Socket.IO.

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