You will get machine learning models for trading systems
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Project details
Unlock the power of Machine Learning in Trading with tailored solutions designed for traders, and investors. I deliver reproducible, mentorfriendly workflows that transform raw market data into actionable trading signals, complete with backtesting and interactive dashboards.
What I Offer:
• Basic Package: Python notebook generating ML-based trading signals for a single asset
• Standard Package: Notebook + interactive dashboard (Streamlit/Plotly) for exploring signals and backtesting one asset without broker connection.
• Premium Package: Portfolio-level ML signals, advanced backtesting, and broker integration via QuantConnect for live/paper trading.
Why Choose Me?
• Clear, reproducible workflows that beginners and professionals can follow.
• Mentorfriendly documentation and templates for easy adoption.
• Interactive dashboards and visualizations to make strategies transparent and engaging.
• Professional delivery with revisions included to ensure your satisfaction.
What I Offer:
• Basic Package: Python notebook generating ML-based trading signals for a single asset
• Standard Package: Notebook + interactive dashboard (Streamlit/Plotly) for exploring signals and backtesting one asset without broker connection.
• Premium Package: Portfolio-level ML signals, advanced backtesting, and broker integration via QuantConnect for live/paper trading.
Why Choose Me?
• Clear, reproducible workflows that beginners and professionals can follow.
• Mentorfriendly documentation and templates for easy adoption.
• Interactive dashboards and visualizations to make strategies transparent and engaging.
• Professional delivery with revisions included to ensure your satisfaction.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, TensorFlowWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $150
Additional Revision
+$50
Additional Model Variation
(+ 3 Days)
+$50Frequently asked questions
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PR
Preethish R.
Jun 17, 2025
TradingView Script Developer Needed for Multi-Timeframe Lines
al
anita l.
Sep 20, 2020
Original orchestral song for children’s Halloween story
al
anita l.
Sep 17, 2020
Original orchestral song for children’s Halloween story
VP
Vladislav P.
Sep 17, 2020
Convert PDF to Midi
Great. As usual. Thank you!
PC
Pash C.
Aug 4, 2020
English to Arabic Translations of Simple Text For Website/Social Media
Good work and very proactive!
About Wael
AI & Quantitative Systems Developer | AccumulationPro Founder
100%
Job Success
Giza, Egypt - 6:49 am local time
🔹 What I Do
Data Science & Machine Learning:
✅ Design and implement end-to-end ML workflows for classification, regression, and time-series forecasting.
✅ Build and train advanced Neural Network models for predictive analytics and financial forecasting.
✅ Apply feature engineering to deliver reproducible, mentor-friendly solutions.
Interactive Dashboards & Visualization:
✅ Develop professional dashboards using Streamlit for real-time insights and decision-making.
✅ Integrate Plotly and Python visualization libraries to make data exploration intuitive and interactive.
✅ Deliver clean, user-friendly interfaces tailored to business and trading needs.
Quantitative Finance & Trading Systems:
✅ Build QuantConnect Research Notebooks for systematic strategy development.
✅ Design and backtest quantified trading strategies with portfolio-level optimization and risk management.
✅ Implement reproducible workflows for algorithmic trading, ensuring robust performance and scalability.
🔹 Why Work With Me?
- Reproducible workflows: Every project is documented and structured for clarity, scalability, and mentoring.
- Practical impact: My solutions are not just theoretical — they’re validated, backtested, and optimized for real-world use.
- Client-focused delivery: I maintain clear communication, and professional documentation.
🔹 Tools & Platforms:
- TradingView Pine Script for non ML systems.
- AmiBroker for advanced backtesting and optimizations.
- Python for ML and Neural Network based systems.
- Streamlit, Plotly, Matplotlib for visualization and dashboards
- QuantConnect for research notebooks and trading strategy backtesting + Live Deployment.
Steps for completing your project
After purchasing the project, send requirements so Wael can start the project.
Delivery time starts when Wael receives requirements from you.
Wael works on your project following the steps below.
Revisions may occur after the delivery date.
Model Implementation
I start implementing the Machine Learning model based on my client requirements.