A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust
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Your AI trading terminal assistant for US stocks, commodities, forex, and crypto.
Performance analysis of predictive (alpha) stock factors
A framework for collecting and analyzing prediction market data, including the largest publicly available dataset of Polymarket and Kalshi market and trade data.
- data
- data-science
- kalshi
- prediction-markets
Open Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM chains. Scans for edge, executes instantly, manages risk while you sleep. Agent commerce protocol for machine-to-machine payments. Self-hosted. Built on Claude.
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
- stock-market
- stock-prediction
- python
- tweepy
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
Discover our Python package designed for algorithmic trading. It brings ICT's smart money concepts to Python, offering a range of indicators for your algorithmic trading strategies.
CCXT for prediction markets. PMXT is a unified API for trading on Polymarket, Kalshi, and more.
- algotrading
- arbitrage
- ccxt
- kalshi
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Strategies to Gekko trading bot with backtests results and some useful tools.
- gekko
- strategies
- gekko-strategies
- gekko-backtest
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
- reinforcement-learning
- supervised-learning
- stock-data
- trading
Portfolio optimization with deep learning.
- deep-learning
- portfolio-optimization
- finance
- machine-learning
The repository host gives no description.
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
- algorithmic-trading
- kalshi
- polymarket
- python
Predicts how news-driven supply-chain shocks ripple across S&P 500 stocks, with an event-study backtest and a hash-chained public prediction ledger. Built on MIT open-source SEC supply-graph code.
- cloudflare-workers
- d3
- event-study
- finance
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
- btc
- lstm
- rnn
- bitcoin
PolyTutor overview of Polymarket trading bots: strategy guides (copy trading, market making, dump-hedge, last-seconds, sports), case studies, and engineering notes. Smart trading. Real edge.
- documentation
- polymarket
- polytutor
- prediction-markets
Passive market-making bot for Predict.fun: quotes from live order books, replaces stale orders and cancels on unsafe price/depth; Windows desktop app and web console for Ubuntu servers.
- desktop-app
- market-making
- predict-fun
- prediction-markets
Do stock correlations predict the market? 66 pre-registered tests, the data, and a triple pendulum that explains why not. If you have an idea you want me to try, submit it as a PR and I will test it and get back to you.
💸 Crypto Payments straight to your wallet. DePay simplifies Web3 integration for developers, harnessing DeFi to accept any token effortlessly. Integrate frictionless, real-time token conversion with sleek, customizable widgets designed for seamless user experience.
- blockchain
- payment
- widgets
- react
Wisp CLI — Interactive trading platform for backtesting and live trading across spot, perpetual futures, options, and prediction markets
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.