Python-powered micro-trend scalping with ML-based signal filtering
To protect proprietary intellectual property and client trade algorithms, the active layout and exact indicator parameters are restricted.
The core indicator math, trade entry rules, and source code of this strategy are confidential and subject to a strict Non-Disclosure Agreement (NDA). Only basic non-proprietary features and general operational parameters are listed.
Quantum Scalper uses machine learning (Random Forests) to classify trading setups. It filters out false breakouts by checking price volatility and historical order book distribution.