You will get Forex ML model with XGBoost and walk-forward validation
Project details
I build machine learning workflows for forex model development with a strong focus on validation, robustness, and realistic performance analysis.
This project is designed for traders, researchers, and quantitative builders who want more than a basic model fit. I structure XGBoost-based workflows around disciplined testing, walk-forward validation, parameter tuning, and performance review so the model can be evaluated in a more realistic way.
My approach is practical and research-driven. That means the work is focused on model structure, testing logic, blind evaluation principles, and analytical clarity rather than hype. Depending on the selected scope, the project can include model setup, validation workflow, tuning support, and performance interpretation.
If you want a cleaner and more serious quantitative workflow for forex model development in Python, this project is built for that.
This project is designed for traders, researchers, and quantitative builders who want more than a basic model fit. I structure XGBoost-based workflows around disciplined testing, walk-forward validation, parameter tuning, and performance review so the model can be evaluated in a more realistic way.
My approach is practical and research-driven. That means the work is focused on model structure, testing logic, blind evaluation principles, and analytical clarity rather than hype. Depending on the selected scope, the project can include model setup, validation workflow, tuning support, and performance interpretation.
If you want a cleaner and more serious quantitative workflow for forex model development in Python, this project is built for that.
Machine Learning Tools
NumPy, pandas, Python, PyTorch, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$99
|
Standard
$229
|
Advanced
$449
|
|---|---|---|---|
| Delivery Time | 5 days | 8 days | 12 days |
Number of Revisions | 0 | 1 | 2 |
Number of Model Variations | 1 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Model Variation
(+ 5 Days)
+$150Frequently asked questions
About Hilton
AI Automation & Growth Systems Builder | Python | E-commerce
Sao Paulo, Brazil - 11:06 am local time
Over the past year I've shifted focus to building my own automation systems from scratch:
- XGBoost-based forex model with walk-forward validation, Optuna optimization, and SHAP analysis
- MT5-integrated live dashboard for real-time performance monitoring
- Full Google Maps scraping pipeline → automated website generation → WhatsApp outreach (zero manual steps)
What I actually build for clients:
- Scraping & data pipelines (Python, BeautifulSoup, Selenium, APIs)
- Workflow automation (n8n, Zapier, Make)
- AI chatbots and RAG systems integrated with WhatsApp, Instagram, or internal tools
- E-commerce automation (Shopify, payment flows, ad platform integrations)
I'm practical and self-sufficient — I scope the problem, build the solution, and deliver working systems. No fluff.
Core tools: Python · n8n · FastAPI · XGBoost · WhatsApp API · Shopify · Meta/TikTok/Google Ads
Steps for completing your project
After purchasing the project, send requirements so Hilton can start the project.
Delivery time starts when Hilton receives requirements from you.
Hilton works on your project following the steps below.
Revisions may occur after the delivery date.
Strategy and data review
I review your market focus, available data, and the type of model or prediction objective you want to evaluate.
Validation framework design
I define the model structure, validation logic, and testing approach based on the selected scope.