Bio-Inspired Adaptive Trading System Using Transposable Element Domestication
Abstract
Quantum Children: A Bio-Inspired Adaptive Trading System Using Transposable Element Domestication. This article presents a practical implementation of the Artificial Organism Intelligence (AOI) framework for algorithmic trading on MetaTrader 5. The system uses 33 signal families mapped to transposable element (TE) classifications, processed through a 33-qubit quantum-inspired circuit with a 7-neuron somatic mosaic committee. A closed-loop domestication feedback mechanism tracks which signal combinations precede profitable trades and amplifies them via sigmoid-shaped confidence boosts. The system integrates LSTM neural network predictions with quantum-biological signals, implements fixed-dollar risk management ($1.00 SL, 3:1 R:R), and runs across multiple prop firm accounts. Full source code, architecture specification, and MQL5 integration details are provided. Author: James Jardine | ORCID: 0009-0004-9073-7192 | License: GPL-3.0 Annotation (2026-08-14): Superseded and non-quantitative. This record ships no performance data for the described trading system and is superseded by 10.5281/zenodo.18529346. Do not cite as a measured result.
Fields of Study & Subjects
Stock Market Forecasting Methods
Financial Markets and Investment Strategies
Artificial Intelligence Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 February 2026
- Language
- EN