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Amici
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Aviad Ben Harush
As the developer&Founder of Capital Steps , my philosophy has always been rooted in robustness and stress-testing against real-world conditions. However, the markets are constantly evolving, and so must our tools.
I am currently undergoing an intensive academic deep-dive into Data Science and Machine Learning to bring the next generation of logic to my algorithms. I believe that true edge comes from understanding the math from scratch, not just using ready-made libraries.
As part of this research, I have released an implementation of the k-Nearest Neighbors (kNN) algorithm, built entirely from scratch in Python without relying on "black box" libraries. This exercise is part of my broader effort to test how classification algorithms can be used to improve market regime filtering for XAUUSD.
You can review the code and my research progress here: https://github.com/Aviad25/kNN-implementation-from-scratch
What does this mean for Capital Steps? My goal is to implement these adaptive learning capabilities into future updates of Capital Steps, allowing the EA to better distinguish between noise and valid structural alignment in real-time .
Stay tuned for further updates.
I am currently undergoing an intensive academic deep-dive into Data Science and Machine Learning to bring the next generation of logic to my algorithms. I believe that true edge comes from understanding the math from scratch, not just using ready-made libraries.
As part of this research, I have released an implementation of the k-Nearest Neighbors (kNN) algorithm, built entirely from scratch in Python without relying on "black box" libraries. This exercise is part of my broader effort to test how classification algorithms can be used to improve market regime filtering for XAUUSD.
You can review the code and my research progress here: https://github.com/Aviad25/kNN-implementation-from-scratch
What does this mean for Capital Steps? My goal is to implement these adaptive learning capabilities into future updates of Capital Steps, allowing the EA to better distinguish between noise and valid structural alignment in real-time .
Stay tuned for further updates.
Aviad Ben Harush
Prodotto pubblicato
Capital Steps Algorithm – Expert Advisor (EA) Engineered for Real-World Market Conditions Many Expert Advisors demonstrate strong results in controlled back-testing environments, yet fail to perform under live trading conditions due to execution latency, market microstructure effects, or broker-side constraints. Capital Steps Algorithm was developed specifically to overcome these limitations. 🛡️ Robustness & Strategy Philosophy The system was engineered, stress-tested, and evaluated under