options-trading-bot

Asynchronous ASGI webhook execution engine for Dhan v2 API. Sub-50ms TradingView signal routing for Nifty, BankNifty, and MCX algorithmic trading

Production-grade quantitative volatility surfaces, Greek analytics, and backtesting signals. 2.6M+ IV ops/sec.

Options trading bot — Black-Scholes pricing, Greeks & strategy payoffs in Python. By Viprasol Tech.

Autonomous multi-agent trading system - deterministic Python guardrails over LLM judgment. Built, broken, and hardened in public

A Master Project implementing a Deep Reinforcement Learning (DDPG) agent for transaction-cost-aware option hedging. Features Behavioral Cloning for a "warm start" and is backtested on real-world SPY ETF data.

Norman is an evidence-governed autonomous trading agent for Alpaca. It separates market opinion from capital authority: every action must pass evidence, risk and execution gates — and No Trade is a valid decision. Built for the 2026 Alpaca AI Trading Agents Hackathon.

Most retail trading bots are an indicator plus an order call. This one puts the engineering where outcomes are actually decided: a no-lookahead event-driven backtester, an R-multiple exit ladder shared bit-for-bit with the live engine, volatility-targeted sizing, and Deflated Sharpe / walk-forward validation. Paper trading on moomoo/Futu. 259 tests

Sequence-to-Sequence Autoregressive Transformer Reinforcement Learning Model for Financial Options Trading.

A local LLM scores news, macro and social feeds into a 5–7 day S&P 500 directional call, then ranks every 20–25 DTE vertical by expected edge. Runs on one laptop with no LLM API cost.