Stock-Trading-Ml

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Stock-trading-ml is an open-source stock trading bot that uses machine learning to make price predictions. It requires Python 3.5+ and various ML libraries to function.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is stock-trading-ml?

Stock-trading-ml is an open-source stock trading bot designed to leverage machine learning for making stock price predictions. This tool allows users to train their own models, edit model architectures, and customize dataset preprocessing. It supports Python 3.5+ and relies on libraries such as alpha_vantage, pandas, numpy, sklearn, keras, tensorflow, and matplotlib. Users can save stock price history to CSV files, train models using either basic or technical indicator approaches, and then apply a trading algorithm based on the newly saved model. The project is available on GitHub under the GPL-3.0 license, making it accessible for developers and data scientists interested in algorithmic trading.

Best used for

Ideal for data scientists who need to develop custom machine learning models for stock price prediction, backtest algorithmic trading strategies, and explore the application of AI in financial markets. Especially valuable for those who prefer open-source solutions and have programming expertise in Python.

Common actions

predict stock prices

develop trading algorithms

train machine learning models

backtest trading strategies

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Capabilities

Key features

Machine learning price predictions
Customizable model architecture
Dataset preprocessing
Trading algorithm application
Python 3.5+ support
Save stock price history

Target Audience

data scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What programming languages and libraries are required to use stock-trading-ml?

Stock-trading-ml requires Python 3.5+ and several machine learning and data science libraries. These include alpha_vantage, pandas, numpy, sklearn, keras, tensorflow, and matplotlib. Users need to install these dependencies to run the bot and train models effectively.

Can I customize the machine learning model used for predictions?

Yes, stock-trading-ml allows for significant customization. Users can edit the model architecture within the provided files (e.g., `basic_model.py`, `tech_ind_model.py`) and adjust dataset preprocessing parameters, such as `history_points` in `util.py`, to tailor the prediction model to their specific needs.

How do I get started with training my own stock prediction model?

To train your own model, first clone the repository and install the required Python packages. Then, save stock price history to a CSV file using `save_data_to_csv.py`. Finally, run either `tech_ind_model.py` or `basic_model.py` to train your model with the desired stock symbol and architecture.

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Coding & Development › Open Source & Models Data & Analytics › Predictive Analytics AI Agents & Automation › Workflow Agents

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