License Repo Size Last Commit Python MQL5 Pine Script Jupyter Notebook
Retard Retail | Wanna be Quant | Independent Low-tier Researcher | Algorithmic Trader
Wildmind Quasars LLC © 2026

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### Project Context I value Psychology but put zero discretion when using automated Algorithmic Trading with philosophical trust. I hold no advantage over financial markets; I only risk what I can afford to lose. I acknowledge my blind spots and earnestly fill what I am lacking. ### Manual & Semi-Algorithmic Trading ``` Manual Methodologies: 390 pages ``` [Research Paper](https://drive.google.com/file/d/1R6qltpwIyxUY29CXOipuGSHORDSebuOL/view?usp=drive_link) ### Algorithmic Trading Projects Count (not number of files) ``` Pinescript language: 39 MQL5 language: 9 Python language: 31 Simple Research papers: 8 ~ (22, 12, 22, 9, 6, 8, 28, 25 pages) ``` [Sample simple research paper](https://github.com/user-attachments/files/24336132/3mTSHSUHC.rp3.pdf)
recent update: Feb 25, 2026
### Programable Forte
Pine Script Python Jupyter Notebook C++ MetaTrader 5 MQL5 Roblox Lua Overleaf LaTeX Exness GoCharting StrategyQuantAnalyzer Java Dukascopy Binance ftmo fundednext

Analysis 1 Analysis 2
## System Overview ```mermaid graph TD A[Market Data] --> B{Analysis & Strategy} B --> C[Pine Script - Signal Engineering/Viz] B --> D[MQL5 - Execution/Expert Advisors] B --> E[Python - Data Science/Modeling] C --> F[Trading Terminal] D --> F E --> G[Research Papers & Validation] G --> B ``` ## Project Structure ```text QRAT2025/ ├── MQL5 Folder/ # MT5 Expert Advisors and indicators ├── Pinescript Folder/ # TradingView Signal Engineering ├── Python Folder/ # Data Science, Analytics, and Modeling ├── Research Papers/ # Strategy Validation & Papers ├── Documents/ # Reports and Attachments ├── Concepts and Topics Folder/ # Educational Notebooks └── LICENSE # Project License ``` ## Efficient Usage To utilize this repository effectively, follow the standardized trading workflow: 1. Explore `Research Papers/` to understand strategy hypotheses and backtesting results. 2. Review `Python Folder/` for data preprocessing, signal analysis notebooks, and statistical modeling. 3. Deploy technical indicators via `Pinescript Folder/` for live market visualization on TradingView. 4. Implement automated execution using Expert Advisors located in `MQL5 Folder/` on MT5. ## Citation ```bibtex @misc{QRAT2025, author = {Albeos, Rembrant Oyangoren}, title = {{QRAT2025}}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/algorembrant/QRAT2025}, note = {Hugging Face repository} } ```