QRAT2025 / README.md
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<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" />
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<strong>Retard Retail | Wanna be Quant | Independent Low-tier Researcher | Algorithmic Trader<br>
Wildmind Quasars LLC Β© 2026</strong>
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<td><img width="652" alt="550619554_1506792687170986_7254869329101140500_n" src="https://github.com/user-attachments/assets/1419e8ef-994b-4021-bae1-0a2655146f57" /></td>
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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)
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recent update: Feb 25, 2026
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### Programable Forte
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<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"/>
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<img src="https://github.com/user-attachments/assets/1b06c09c-7c36-4a1c-bb8d-6c9032b6ee92" width="500" alt="Analysis 1" />
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<img src="https://github.com/user-attachments/assets/cd6e9810-d92c-47f8-9a57-9429c2a54baf" width="500" alt="Analysis 2" />
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## 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/
β”œβ”€β”€ MQL5 Folder/ # MT5 Expert Advisors and indicators
β”œβ”€β”€ Pinescript Folder/ # TradingView Signal Engineering
β”œβ”€β”€ Python Folder/ # Data Science, Analytics, and Modeling
β”œβ”€β”€ Research Papers/ # Strategy Validation & Papers
β”œβ”€β”€ Documents/ # Reports and Attachments
β”œβ”€β”€ 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}
}
```
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