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I will build an ai stock market algorithmic trading model
Quantitative Developer Algorithmic Trading Machine Learning
I am a Python programmer with experience in taking algorithms from a “sandbox” to live production. If you need help with porting your Pine Script algorithms to a strong Python setup, or even incorpora...
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Has met certain performance criteria and shows strong potential in the marketplace.
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Known for exceptionally quick replies
About this Gig
Looking for a data-driven edge in the stock market?
I build custom Machine Learning stock selection models in Python. As a quantitative developer, I focus on realistic edges. My algorithms analyze fundamental data (value & profitability) alongside price momentum to systematically find the best opportunities.
What I Do: Factor Ranking: Comparing hundreds of stocks using proven financial metrics. Robust ML: Training models to identify patterns. I strictly avoid the "overfitting" trap to ensure statistical resilience, not just systems that look good on past data. ️
Risk Management: Automatically filtering out highly volatile or heavily indebted stocks.
️Managing Expectations: Lets be transparent. ML is a tool for analyzing probabilities, not a crystal ball. Attempting to flawlessly predict market regimes is an illusion. I build systems for serious, data-driven analysisnot get-rich-quick schemes.
Deliverables: Clean Python script, comprehensive backtest reports, and visual charts.
Please message me before ordering to discuss your target market, data sources, and exact needs!
My Portfolio
FAQ
Can this AI perfectly predict bull, bear, or chop markets?
No. Trying to predict market regimes using Machine Learning is one of the biggest "overfitting" traps in algorithmic trading. I build models that react to statistical probabilities based on data, not magical prediction machines.
Do you guarantee profits or a specific win rate?
Absolutely not. The stock market involves significant risk. My scripts provide a data-driven edge to help you systematically rank and select stocks, but they are analytical tools, not financial advice or guaranteed profit generators.
What kind of metrics does the model analyze?
I focus on factor investing. Depending on the data source, the algorithm evaluates fundamental factors (like company value and profitability) and combines them with technical price momentum to rank the healthiest stocks.
Can we apply this model to any stock market?
Yes, as long as we have clean historical data. Whether it's the US stock market or specific indices like the BIST 30, the statistical principles of value and momentum remain applicable.
What data providers do you use for the Python script?
For stock data, I typically use free libraries like Yahoo Finance (yfinance) to keep things cost-effective for you. However, if you have access to premium data APIs, I can easily build the bridge to integrate them.
Reviews
1 reviews for this Gig
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bnest4752
United States
Developer created an automatic trading alert system for a requested group of stocks that arrive directly to email. They delivered ahead of schedule and provided excellent documentation on how the completed project came to be.
$200-$400
Price
6 days
Duration
Helpful?
Reviews
1 reviews for this Gig
| (1) | ||
| (0) | ||
| (0) | ||
| (0) | ||
| (0) |
Rating Breakdown
- Seller communication level
- Quality of delivery
- Value of delivery
Sort By
Most relevant
B bnest4752
United States
Developer created an automatic trading alert system for a requested group of stocks that arrive directly to email. They delivered ahead of schedule and provided excellent documentation on how the completed project came to be.
$200-$400
Price
6 days
Duration
Helpful?
