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Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Python 78.91% C++ 20.27% C 0.82%
machine-learning machine-learning-algorithms ai artificial-intelligence artificial-neural-networks trading trading-bot trading-algorithms trading-strategies finance

machine-learning-and-ai-in-trading's Introduction

Machine-Learning-and-AI-in-Trading

Here is some of codes generated in Python using Machine Learning and AI for generating prediction in Stock Prices.

Packages Used:

  • Talib
  • Scikit Learn
  • TensorFlow
  • Keras
  • Pandas
  • Numpy and numexpr (Faster Numpy for better performance)
  • Visualisation tools like Seaborn and Matplotlib

Still Working... Will keep on updating...

LSTMs have gave me promosing results and now I am exploring advance LSTM like MD-LSTM and MiD-LSTM for better prediction and more feature inclusion.

Here is result one of my project done for Sentiment Analysis on News and LSTM with RNN.

Below is Prediction for NASDAQ using our model. Price is scaled to 1. Trained the model for past 2 years and predicted the results for 200 days in the future. Predicted Results for NASDAQ

Help & Motivate my work by little generosity:

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My Work and Profile

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PS: These are my own codes which are stricktly experimental. This does not represent firms views. Use these codes at your own risks.

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machine-learning-and-ai-in-trading's Issues

new complementary tool

I want to offer a new point of view, and my colaboraty

Why this stock prediction project ?

Things this project offers that I did not find in other free projects, are:

  • Testing with +-30 models. Multiple combinations features and multiple selections of models (TensorFlow , XGBoost and Sklearn )
  • Threshold and quality models evaluation
  • Use 1k technical indicators
  • Method of best features selection (technical indicators)
  • Categorical target (do buy, do sell and do nothing) simple and dynamic, instead of continuous target variable
  • Powerful open-market-real-time evaluation system
  • Versatile integration with: Twitter, Telegram and Mail
  • Train Machine Learning model with Fresh today stock data

https://github.com/Leci37/stocks-prediction-Machine-learning-RealTime-telegram/tree/develop

Contact Details

you wrote: "If anyone here is interested, Contact here"
im interested

Code does not work

I was trying your code, but it does not compile. I am using python-3.6.
Looks like missed code and typo. which i have tried to fix myself, but stuck in line #42
i have added unsup = new SVC()

How to Contact?

Hi, sorry but there was no other way to contact you, please add you email somewhere
i was looking for options strategy then i saw this, which i tried months ago but ended up with nothing but bad predictions

"If anyone here is interested, Contact me."
does this mean that you could send it in private?

[email protected]

MiD-LSTM?

Could you please explain what MiD stands for?

Ty

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