Hidden Gem

HYDRA Engine v1.0 — Open-Source Local-First Automated Trading Engine, Now Public

📅 2025 ✍️ 22B Labs · The 4th Path 🏷️ Open Source · Algo Trading · Quant · Python

🐍 HYDRA

MIT License Python Docker FastAPI

From data collection to live trading. One repo to rule them all.

Most people who try to build an automated trading system don't give up because of the code. They give up because of the pipeline. Where do you get data? How do you calculate indicators? How do you generate signals, run backtests, and connect to live trading — all without losing your mind halfway through?

HYDRA Engine is a direct answer to that problem. A local-first, open-source automated trading engine that manages the entire pipeline in a single repository. Built by 22B Labs. Released today under the MIT license.

1

The Full Pipeline, One Repo

📥 Data Collection

→

📊 Indicators

→

🎯 Regime Detection

→

⚡ Signal Engine

→

🔁 Backtest

→

💹 Live Trading

HYDRA collects OHLCV candle data from exchanges, auto-calculates RSI/MACD/Bollinger Bands, classifies current market regime (trending/ranging/volatile), generates buy/sell signals, validates strategies through in-memory backtesting — and connects to live trading only when you're ready.

"Free and fully functional by default. Everything else is your choice."

2

12 Core Modules

⚡

FastAPI REST Server

Control everything via API. Integrate with dashboards, bots, or external tools.

📥

OHLCV Collector

Fetches candle data from exchanges. Stores to SQLite (Lite) or TimescaleDB (Pro).

📊

Indicator Engine

RSI, MACD, Bollinger Bands and more — auto-calculated on collected data.

🎯

Regime Classifier

Detects trending, ranging, and volatile market states automatically.

⚡

Signal Engine

Generates buy/sell signals. Pluggable strategy architecture.

🔁

In-Memory Backtest

Validate strategy performance on collected data before going live.

🛡️

Kill Switch

Emergency close of all positions with a single command.

⚖️

Risk Engine

Position sizing and risk limit management.

📦

Order Queue

Safe order processing pipeline with queue management.

🖥️

CLI Tool

Full control from the terminal. No UI required.

📲

Telegram Alerts

Real-time notifications for key events.

📈

Auxiliary Data

Order book, event calendar, sentiment scores.

3

Three Docker Tiers — Start Where You Are

🟢 Lite

SQLite storage
Personal PC
Perfect for beginners

🔵 Pro

TimescaleDB + Redis
Mid-scale operation
Enhanced analytics

🟡 Expert

High-spec config
Large-volume data
High-performance server

# Clone and start in 5 minutes
git clone https://github.com/sinmb79/Hydra-Engine.git
cd Hydra-Engine
cp .env.example .env
pip install -e .[dev] && pytest -q
docker compose -f docker-compose.lite.yml up --build

# Health check
curl http://127.0.0.1:8000/health
# → {"status": "ok"}

4

The Recommended Approach

Step	Action	Purpose
Step 1	Run pytest	Verify code is working
Step 2	Collect data	Public data works without API keys
Step 3	Check indicators/regime/signals	Understand engine behavior
Step 4	Observe via API/CLI	Get comfortable with the flow
Step 5	Run backtests	Validate strategy performance
Step 6	Connect live trading	Only after sufficient validation

⚠️ Disclaimer

HYDRA Engine is built for education, research, and experimentation. It does not guarantee trading profits. All responsibility for use lies with the user. Always read DISCLAIMER.md before using in live trading.

🐍 22B Labs · HYDRA Engine

The goal is to lower the barrier to entry for algorithmic trading.
⭐ A star on GitHub means the world to us.

👉 github.com/sinmb79/Hydra-Engine

AlgoTrading Quant OpenSource Python FastAPI Docker Crypto 22BLabs

📎 GitHub: github.com/sinmb79/Hydra-Engine · MIT License
✍️ 22B Labs · The 4th Path, GitHub: sinmb79