sinmb79

sinmb79 / straregy-consol

Public
19
8
100% credibility
Found Mar 27, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

The 22B Strategy Engine is a full-stack automated trading system for Binance Futures that supports paper trading and live trading modes, featuring real-time data collection, market regime detection, opportunity scoring pipelines, AI analysis, and safety mechanisms.

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AI-Generated Review

What is straregy-consol?

Straregy-consol is a Python-based automated trading bot for Binance Futures (and Hyperliquid DEX), pulling real-time market data via WebSockets to detect regimes like bull/bear/sideways and run scoring-based strategies. Users get paper trading, live execution with auto TP/SL, a FastAPI dashboard for real-time monitoring and parameter tweaks, plus Telegram alerts—all configurable via .env. It solves the pain of manual crypto futures trading by simulating $1k paper performance, AI reviews via Claude, and safety modes from observe to active.

Why is it gaining traction?

It bundles everything devs need out-of-box: 10+ built-in strategies (RSI reversal, volatility breakout), image upload for AI-generated patterns, and a pipeline scoring opportunities on 11 rules before execution. The real hook is zero-downtime ops with kill switches, 5-min reconciliations, and runtime strategy pausing—far beyond basic backtesters. Python simplicity lets you add custom strategies in minutes without restarts.

Who should use this?

Quant devs prototyping crypto strategies on BTC/ETH/SOL, traders graduating from manual Binance bots to automated systems, or researchers needing regime-aware backtests with replay datasets. Ideal for those testing edges in paper mode before live perps, especially with Hyperliquid integration for DEX fans.

Verdict

Grab it for paper trading experiments—docs are thorough, setup is one pip install away, MIT license. At 19 stars and 1.0% credibility, it's raw but battle-tested in design; run OBSERVE/LIMITED first to vet maturity before active funds.

(187 words)

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