Simple Markov Strategy: +94% Return in Backtest (Full Breakdown)

In this video, we reveal a simple Markov trading strategy that achieved a +94% return in historical backtesting. If you're looking for a profitable candlestick-based strategy using Markov processes/approach and want to learn how it performs under rigorous testing, this video is for you.

We’ll go through:
The core concept behind the Markov candlestick strategy
How this simple Markov strategy works in real trading conditions
A full backtest breakdown showing the +94% return
Code logic and indicators used
How to apply this in algorithmic trading systems

If you're into quantitative finance, technical analysis, or Python-based trading algorithms, this deep dive into a Markov-based strategy will help you understand how probability-based modeling can enhance your trading edge.

Watch till the end to get the full breakdown and see the performance graphs and trading insights.

📘 Book available on Amazon (Algorithmic Trading Hands-On Approach Using Python): a.co/d/6woMBHt
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Discount Vouchers for my Algorithmic Trading courses:
💲 Algorithmic Trading: bit.ly/CouponAlgorithmicTrading
💲 Monte-Carlo Strategies Backtesting: bit.ly/Monte-Carlo-Strategies
💲 Machine Learning Methods In Algorithmic Trading: bit.ly/CouponMachineLearningTrading

Other beginners courses are linked in the About section of this channel, happy learning !
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Download the Python code here:
drive.google.com/file/d/1xSB16U50eIcreJeZyYfexLswb…

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