Production-grade quantitative volatility surfaces, Greek analytics, and backtesting signals. 2.6M+ IV ops/sec.
Asynchronous ASGI webhook execution engine for Dhan v2 API. Sub-50ms TradingView signal routing for Nifty, BankNifty, and MCX algorithmic trading
Autonomous Institutional Options Trading Engine. Dual-Veto Risk Governance meets Featherless GLM-5.2 Tri-Agent Council and native Alpaca CLI subprocess execution.
Autonomous NIFTY Options Trading Agent with a production-grade fintech dashboard, target tracking, risk-aware architecture, adaptive trade analysis, and future ML-driven execution.
Autonomous multi-agent AI trading system using a 5-agent Contrarian Council & Alpaca Trading API for multi-leg options execution. Built for Lablab.ai Alpaca AI Hackathon.
Options trading bot — Black-Scholes pricing, Greeks & strategy payoffs in Python. By Viprasol Tech.
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.
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.
AI-powered options trading dashboard for Options Sentinel, providing a structured interface for market analysis, multi-agent reasoning, risk validation, options strategy generation, and controlled paper-trading workflows.
Autonomous multi-agent trading system - deterministic Python guardrails over LLM judgment. Built, broken, and hardened in public
Options flow analysis dashboard.
Institutional-grade autonomous trading agent decoupling Google Gemini reasoning from a 100% deterministic Python Hard Risk Gate. Executes regime-adaptive, defined-risk options strategies via Alpaca API & FastMCP.
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
Backend services for Options Sentinel, providing AI agent orchestration, market analysis, risk validation, options strategy generation, and Alpaca MCP-based paper-trading execution.
Evidence-gated autonomous AI options agent for COIN using BTC/COIN repricing signals, bounded LLM adjudication, deterministic risk controls, and Alpaca paper MLeg execution.
Open-source multi-agent AI trading desk for options and futures: dealer gamma, options flow, bull vs bear debate, evidence-cited reports.
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.
Sequence-to-Sequence Autoregressive Transformer Reinforcement Learning Model for Financial Options Trading.
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