SystemSelf reportedCryptoGoalgorithmic-tradingalgotradingbitcoinbotgenetic

NeuroEvolution-BTC-Trader

Building a population of models that trade crypto and mutate iteratively

System Structure

Data Used
암호화폐 거래소 시장 데이터가격/거래량 데이터
Rules / Strategy

저장소별 전략/실행 조건 확인 필요

Execution

주문 실행은 사용자가 별도 통합/설정

Editor Summary

저장소 설명과 공개 메타데이터 기준으로 Python 기반 구현, 암호화폐 거래 봇 성격의 프로젝트로 파악했습니다. 확인 근거는 README, 저장소 토픽, 저장소 설명, GitHub 지표, 파이프라인 필드이며, 주요 데이터는 암호화폐 거래소 시장 데이터, 가격/거래량 데이터입니다. 전략/실행 조건은 저장소별 문서와 코드 확인이 필요하며, 실행 방식은 "주문 실행은 사용자가 별도 통합/설정"라고 보수적으로 기록했습니다. GitHub 지표는 별 164개, 포크 40개입니다.

RepositorySC4RECOIN/NeuroEvolution-BTC-Trader
CreatorSC4RECOIN
Stars / Forks★ 164 / 40
Last Updated2021-03-09
Snapshot Date2026-07-08 (README below is a copy from this date)

This is third-party open-source code. QuantField does not guarantee its behavior or safety. Review the code before installing or running it.

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README

NeuroEvolution BTC Trader

The goal of this project was to create a model that would trade on technicals through neuroevolution. The initial population is built given a specified network topology and assigned random weights. For each generation, these weights are randomly mutated and each network is assigned a fitness value based on its performance. A pooling algorithm is then used to select models for the next generation and the process is repeated. Models with a higher fitness tend to make it to the next generation where their weights are mutated and ideally create a higher performing generation.

See python branch for original implementation