Search Results for "strategy"

...The project is explicitly not production-ready, so it should be treated as an educational and experimental trading framework rather than a safe financial automation system. It is useful for developers learning algorithmic trading architecture, exchange APIs, market data handling, and strategy testing.

Nothing Ever Happens is an experimental open-source trading bot designed for the Polymarket platform that implements a deliberately simple and unconventional strategy: automatically buying “No” positions across non-sports binary prediction markets. The project is built in Python using asynchronous architecture, allowing it to monitor markets, evaluate opportunities, and execute trades continuously with minimal latency. Its core concept is based on statistical observations that a majority of prediction market outcomes resolve negatively, and it attempts to exploit this base-rate bias through systematic participation rather than predictive modeling. ...

Kalshi Trading Bot CLI is an AI-driven command-line tool designed to automate trading strategies on Kalshi prediction markets by combining quantitative modeling with real-time market data. It operates by conducting deep research on events, generating independent probability estimates, and comparing those estimates against current market prices to identify trading opportunities. The system incorporates advanced decision-making logic, including Kelly criterion-based position sizing and a...

BTC-Trading-Since-2020 is a cryptocurrency trading analysis project that focuses on evaluating Bitcoin trading strategies using historical data and algorithmic approaches. The repository serves as both a research and experimentation environment, allowing users to explore how different strategies perform under varying market conditions. It includes backtesting capabilities that enable users to simulate trades over historical Bitcoin price data, helping to identify profitable patterns and risk...

This is a high-frequency trading bot implementation targeting the OKCoin cryptocurrency exchange. The repository states that from 2016 June to January 2017, the strategy turned an initial investment of 6,000 into 250,000. The bot embodies two main strategies: trend following (entering on directional moves) and rebalancing (keeping position exposure near 50%) to mitigate downside in reversals. Position rebalancing around target exposure. Use of OKCoin API client integrations. Trend-following order execution.