This is a library of cryptocurrency trading algorithms and technical analysis strategies designed for use with the Freqtrade trading bot. The project provides a collection of pre-defined rules and mathematical indicators used to automate the buying and selling of digital assets. The repository focuses on algorithmic trading strategies and bot-driven asset management to remove manual execution from cryptocurrency trades. It enables quantitative trading analysis by allowing the development and testing of rule-based logic against historical market data. The system utilizes class-based strategy
Genetic Algorithm for solving optimization of trading strategies using Gekko
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
Building a population of models that trade crypto and mutate iteratively
The main features of sc4recoin/tensorflow-neuroevolution-trading-bot are: Crypto Trading Strategies.
Open-source alternatives to sc4recoin/tensorflow-neuroevolution-trading-bot include: freqtrade/freqtrade-strategies — This is a library of cryptocurrency trading algorithms and technical analysis strategies designed for use with the… gekkowarez/gekkoga — Genetic Algorithm for solving optimization of trading strategies using Gekko. sc4recoin/lstm-crypto-price-prediction — Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot. stefanoviana/deepalpha — AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit,… zschro/gekko-neuralnet — Neural network strategy for Gekko.