Live Quant Trading with Lite Frequency Strategy (LFT Model)

Disclaimer:
"This video is intended for educational purposes only. It does not constitute financial, investment, or trading advice. Always do your own research and consult with a licensed financial advisor before making any investment or trading decisions. Trading and investing involve significant risk, and past performance is not indicative of future results. Please trade responsibly."


Ever wondered how professional traders build quantitative strategies from scratch? In this video, we’ll take you through the complete process of writing the core equations that power quant trading models.

You’ll learn:

What goes into a quant strategy formula

How to translate trading logic into mathematical expressions

Step-by-step breakdown using Moving Averages, RSI, Price Action & more

How to test & validate your equations with data

Whether you’re a coder, trader, or finance student, this video will help you understand how real quant systems are built – one equation at a time.



n this video, we're going live with a Lite Frequency Trading (LFT) model, a quant-based trading system designed for 1–3 high-quality trades per day.

LFT is ideal for swing or positional intraday trading, reducing noise and focusing only on high-conviction signals.

You’ll learn how we:

Select indicators and build a quant logic

Use longer candle intervals (30m, 1H)

Combine confirmation filters (e.g., volume spike + trend alignment)

Automate entries and exits using Python + Broker API
Risk management

Whether you're a developer, trader, or algo enthusiast, this test highlights how quant-driven models can offer precision and performance in volatile markets. Stay tuned as we refine the bot for more edge!

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