| <div align="center"> | |
| <img src="https://img.shields.io/github/license/unban-algorembrant/QRAT2025" alt="License" /> | |
| <img src="https://img.shields.io/github/repo-size/unban-algorembrant/QRAT2025" alt="Repo Size" /> | |
| <img src="https://img.shields.io/github/last-commit/unban-algorembrant/QRAT2025" alt="Last Commit" /> | |
| <img src="https://img.shields.io/badge/Language-Python-blue" alt="Python" /> | |
| <img src="https://img.shields.io/badge/Language-MQL5-orange" alt="MQL5" /> | |
| <img src="https://img.shields.io/badge/Language-Pine_Script-yellow" alt="Pine Script" /> | |
| <img src="https://img.shields.io/badge/Language-Jupyter_Notebook-red" alt="Jupyter Notebook" /> | |
| </div> | |
| <div align="center"> | |
| <strong>Retard Retail | Wanna be Quant | Independent Low-tier Researcher | Algorithmic Trader<br> | |
| Wildmind Quasars LLC Β© 2026</strong> | |
| </div> | |
| <br> | |
| <table> | |
| <tr> | |
| <td><img width="683" alt="image" src="https://github.com/user-attachments/assets/d454b550-ca78-4cda-a8e8-261edfca8601" /></td> | |
| <td><img width="652" alt="550619554_1506792687170986_7254869329101140500_n" src="https://github.com/user-attachments/assets/1419e8ef-994b-4021-bae1-0a2655146f57" /></td> | |
| </tr> | |
| </table> | |
| ### 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) | |
| <div align="right"> | |
| recent update: Feb 25, 2026 | |
| </div> | |
| ### Programable Forte | |
| <div align="center"> | |
| <img src="https://cdn.freelogovectors.net/wp-content/uploads/2021/12/tradingviewlogo-freelogovectors.net_-400x71.png" height="22"/> | |
| <img src="https://handiko.github.io/TradingStrategy-Public/Pine_Script_logo_text.png" alt="Pine Script" height="30"/> | |
| <img src="https://logos-world.net/wp-content/uploads/2021/10/Python-Symbol.png" alt="Python" height="30"/> | |
| <img src="https://saturncloud.io/images/blog/jupyterlab.webp" alt="Jupyter Notebook" height="35"/> | |
| <img src="https://cdn-icons-png.flaticon.com/512/6132/6132222.png" alt="C++" height="30"/> | |
| <img src="https://prop-quant.com/wp-content/uploads/2018/06/mt5-logo.png" alt="MetaTrader 5" height="30"/> | |
| <img src="https://media.licdn.com/dms/image/v2/D4D12AQEqVvTpCyxwaw/article-cover_image-shrink_720_1280/article-cover_image-shrink_720_1280/0/1730672674076?e=2147483647&v=beta&t=VTSEExPp57PUbPEoeylFe7iZhixtLx8KEL1wL2hOKVY" alt="MQL5" height="30"/> | |
| <img src="https://tse1.mm.bing.net/th/id/OIP.rv5OqS18AqmwSL-V2bCfeQAAAA?rs=1&pid=ImgDetMain&o=7&rm=3" alt="Roblox" height="20"/> | |
| <img src="https://miro.medium.com/v2/resize:fit:1200/1*I5_Wb3kQHnH4ph2SERay_g.png" alt="Lua" height="30"/> | |
| <img src="https://www.rlp.manchester.ac.uk/wp-content/uploads/sites/151/2021/01/overleaf_wide_colour_light_bg-1-1024x339.png" alt="Overleaf" height="20"/> | |
| <img src="https://ctan.org/teaser/pkg/latex" alt="LaTeX" height="20"/> | |
| <img src="https://thetradersspread.com/wp-content/uploads/2020/02/exness-2-1.png" alt="Exness" height="25"/> | |
| <img src="https://www.asmarterchoice.org/wp-content/uploads/2024/05/gocharting-logo-e1715014334902.png" alt="GoCharting" height="20"/> | |
| <img src="https://github.com/user-attachments/assets/f95effe6-15ed-4ed9-926d-2502f4c7a41d" alt="StrategyQuantAnalyzer" height="35"/> | |
| <img src="https://icon-library.com/images/java-icon-png/java-icon-png-15.jpg" alt="Java" height="35"/> | |
| <img src="https://www.daytrading.com/wp-content/uploads/2021/11/Dukascopy-Logo-big.png" alt="Dukascopy" height="23"/> | |
| <img src="https://tse4.mm.bing.net/th/id/OIP.bfmEMs26a1k371ktgN80mAHaBf?rs=1&pid=ImgDetMain&o=7&rm=3" alt="Binance" height="20"/> | |
| <img src="https://propfirmforex.com/wp-content/uploads/2025/05/FTMO-logo-dark-vector-scaled.png" alt="ftmo" height="20"/> | |
| <img src="https://tradersunion.com/images/brokers/906.jpeg" alt="fundednext" height="20"/> | |
| </div> | |
| <br> | |
| <table align="center" style="border-collapse: collapse;"> | |
| <tr> | |
| <td align="center" style="padding: 10px;"> | |
| <img src="https://github.com/user-attachments/assets/1b06c09c-7c36-4a1c-bb8d-6c9032b6ee92" width="500" alt="Analysis 1" /> | |
| </td> | |
| <td align="center" style="padding: 10px;"> | |
| <img src="https://github.com/user-attachments/assets/cd6e9810-d92c-47f8-9a57-9429c2a54baf" width="500" alt="Analysis 2" /> | |
| </td> | |
| </tr> | |
| </table> | |
| ## 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/ | |
| βββ MQL5 Folder/ # MT5 Expert Advisors and indicators | |
| βββ Pinescript Folder/ # TradingView Signal Engineering | |
| βββ Python Folder/ # Data Science, Analytics, and Modeling | |
| βββ Research Papers/ # Strategy Validation & Papers | |
| βββ Documents/ # Reports and Attachments | |
| βββ Concepts and Topics Folder/ # Educational Notebooks | |
| βββ 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} | |
| } | |
| ``` | |
| <table align="center"> | |
| <tr> | |
| <td align="center"> | |
| <video | |
| src="https://github.com/user-attachments/assets/86cd8a36-cc23-4857-af55-95795b6f3f65" | |
| controls | |
| width="360" | |
| muted | |
| loop | |
| </td> | |
| </tr> | |
| </table> | |