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
Multi-factor quantitative research and paper-trading system for Chinese A-shares. The backtest and the simulated trader run through one shared code path. Walk-forward validated, zero-config, runs in about five minutes. Includes a log of falsified strategies. MIT. Simulation only — not financial advice.
Local Docker paper-trading desk that refuses to lie: fee-aware fills, anti-churn gates, optional AI — honest marks, not dashboard theater.
Event-driven microservices platform for automated multi-bot cryptocurrency paper trading (BTC/USDT) — featuring 8 quantitative strategies (OBI scalper, EMA momentum, AI sentiment oracle, Bollinger breakout), Redis Pub/Sub, FastAPI WebSocket bridge, Supabase PostgreSQL, and a real-time React dashboard.
An intelligent, full-stack paper trading platform that executes trades based on real-time and historical market sentiment analysis.
Trading Terminal with Demo Accounts for Bybit, Binance, HTX. Real-time market data, order management, portfolio tracking. Practice trading with virtual funds. Setup.exe included.
Open-source Solana memecoin trading bot that scans tokens, scores market signals, manages risk, and tests automated strategies.
Enterprise-grade real-time paper trading platform with live market simulation, portfolio analytics, watchlists, virtual trading, and performance tracking.
재무제표 기반으로 매수/매도를 판단하는 한국 주식 자동매매 에이전틱 AI — Claude 4단계 LLM 파이프라인(스크리닝→심층분석→반대심문→최종결정) + DART/KIS 연동, 모의투자 프로토타입
A paper trading platform that lets you simulate real-world market conditions to test, refine, and learn before going live.
AI-powered quantitative stock market research platform with ML ensemble models, multi-timeframe analysis, explainable signals, paper trading, backtesting, risk management, FastAPI APIs, and production-focused architecture for algorithmic trading research.
NSE swing-trading research platform — cross-sectional alpha scoring, LM-based news sentiment, and rigorous A/B backtesting. 100% free data, zero paid APIs.
Open source crypto screener built by a leather craftsman from Montana
QuantDinger is an open-source AI trading platform for quantitative trading across crypto, stocks, and forex. Run strategy backtests, paper trading, and live execution with multi-agent research in a self-hosted stack that includes API access, MCP tools, and optional monitoring.
🌤️ AI-powered weather trading agent that fetches real-time weather data for 5 global cities and uses LLM (OpenRouter) to make paper trading decisions on Polymarket prediction markets with Kelly Criterion risk management. Built with Python & Streamlit.
Crypto arbitrage research and execution-risk framework demo preview. Full source only after NDA/escrow.
Production-style MERN paper-trading platform with secure JWT authentication, real-time market data, portfolio analytics, simulated trading, and an AI trading assistant.
Multi-agent investment research and paper-trading system built with the OpenAI Agents SDK.
Clawby Q is a bilingual quantitative research platform for paper trading, backtesting, factor research, forward-evidence collection, and interactive dashboards. Research use only; live trading is disabled by default.
📈 Full-Stack MERN Stock Trading Simulator with JWT Authentication, Virtual Wallet, Portfolio Management, Live Market Simulation, MongoDB Atlas & Cloud Deployment.
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