Quantum edge trading

Source: Dev.to

What QuantumEdge‑Trading Is

QuantumEdge‑Trading is a collection of professional‑grade trading strategies and supporting tools written in Python and TradingView Pine script, designed to help traders and developers learn and experiment with:

• Machine learning‑based strategy – a clean ML approach using K‑Nearest Neighbors
• Smart Money Concepts / Institutional‑level strategy – advanced indicators and market structure
• Bonus tools – a lead scraper and sentiment engine for market research and automation

It’s free, open source, and can be used both for learning and practical experimentation—perfect for anyone curious about quant trading or how machine learning can drive decision‑making.

🔗 Repository: https://github.com/neilyoungdevliverpool/QuantumEdge-Trading

What’s Inside

Strategies

• ML Algo Pro (Machine Learning) – a minimal yet powerful ML strategy that outputs clean signals and confidence scores.
• QuantumEdge Pro (Smart Money Concepts) – institutional‑grade indicators such as order blocks, fair value gaps, volume profile, and Wyckoff pattern detection.

Tools

• News Sentiment Engine – Python script that analyzes market sentiment from news and data.
• Business Lead Scraper – scraper to collect leads from Yellow Pages and other sources (bonus real‑world automation tool).

How to Use

• Paste the Pine strategies into TradingView to start paper‑trading signals.
• Run the Python tools locally with:

pip install -r requirements.txt

What I Learned

• How trading strategies are structured and coded.
• How to combine machine learning with financial signals.
• How to organize a large, multi‑part repository.
• How developers can share tools so others can learn too.

Next Steps

• Add more ML strategies and research new indicators.
• Improve documentation and examples.
• Explore live‑tracking dashboards in future versions.

Thanks for reading! If you’re into quant trading, ML, or just love tinkering with open‑source tools, check it out and drop some feedback—I’m constantly learning and building.

— neil