Production-grade simulated broker for NSE & BSE paper trading — realistic fees, T+1 settlement, live prices, and an Alpaca-style API
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Updated
Jul 7, 2026 - Python
Production-grade simulated broker for NSE & BSE paper trading — realistic fees, T+1 settlement, live prices, and an Alpaca-style API
金牛智道的智能模拟投资服务后台
Paper Trading Simulation platform for fun. Built on Django.
블록으로 투자 전략을 만들고, 백테스트와 실시간 가상 거래로 검증하는 투자 전략 실험 플랫폼
MCP-driven crypto trading rig: Claude (or any MCP client) trades a live portfolio through three guarded tools: get_status, open_position, close_position. Capable to read news and charts. Paper and live.
Beginner-friendly NSE stock research and learning app, built with Next.js, TypeScript, and the Upstox API — educate, never advise.
A typescript library to test trading strategies.
Distributed multi-agent paper-trading system using real-time market data, news sentiment, and autonomous risk-aware trade execution.
Deterministic Trading System with optional LLM overlay
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.
Plug-in backtesting & paper-trading framework on Alpaca. Ships two classic strategies, proves they lose, and shows why — lookahead bias, split-adjustment, slippage, multi-period validation, drawdown-aware risk management. The honest starter kit.
Quant research pipeline + long-only swing trading app. OOS Sharpe ≈ 0.9–1.2, max drawdown −8%. Paper trade only.
Paper trading platform with compliance analysis. Supports multiple compliance frameworks (AAOIFI Halal, ESG/Ethical, Standard), multi-currency portfolios, and real-time market data via Yahoo Finance.
Autonomous DeFi-to-CEX trading agent that monitors protocol health, liquidity flows, stablecoin stress, and market structure signals to generate AI-powered trading decisions on Bitget.
🎯 Advanced crypto quant trading system with market microstructure analysis, real-time dashboard, and institutional-grade risk management. Built for serious traders.
Evidence-based AI review assistant for crypto paper trading using the OpenAI Responses API with structured outputs and strict no-execution safety.
Autonomous options trading AI — signal engine, real-time Streamlit dashboard, paper trading via Alpaca, risk guardrails, congressional disclosure tracker, and live market news feed.
MCP-driven crypto trading rig: Claude (or any MCP client) trades a live portfolio through three guarded tools: get_status, open_position, close_position. Capable to read news and charts. Paper and live.
Structural risk monitor for Bitget rTokens — an LLM agent that watches wrapper liquidity, not price, and decides hold/sell/buy-back.
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