radroid / stock-price-predictor

The aim of this project is to predict the long-term price trend of two indices and one stock with at least 90% accuracy.

Hi there 👋

I am a software engineer with a strong background in Mechanical Engineering, Nuclear Energy, Finance, and Data Science. With over two years of experience as a software engineer, I've honed my skills in Python, machine learning, data presentation, and cloud technologies. I have consistently focused on entrepreneurship, problem-solving and clear communication. I am here to discuss any business ideas, work on a project together, or discuss the future of industries: manufacturing, energy, IT, finance, entertainment, and AI.

I'm passionate about product management in the IT industry, where I can contribute to a team of individuals ready to tackle the world's biggest challenges. My goal is to work as a product manager, driving growth and innovation in tech-focused companies before eventually starting my venture.

My unique blend of technical expertise, effective communication, and structured work approach allows me to excel in fast-paced environments. I'm known for my adaptability, quick learning, and ability to convey complex technical concepts to expert developers and business stakeholders.

If you're interested in discussing the future of technology, AI, or product management, please reach out! Let's shape the future of tech together.

What am I doing now?

last modified: Jan 26, 2024

I am currently working on integrating AI into some of my GitHub Projects. I do not intend to introduce AI into all repositories. I will add it only if they seem to be adding a creative edge.

💡 If you have any ideas to implement AI, please do share through issues! Thank you for taking the time to contribute to my projects. Also, stay tuned to see some creative implementations! 🔖

stock-price-predictor's Issues

new

My name is Luis, I'm a big-data machine-learning developer, I'm a fan of your work, and I usually check your updates.

I was afraid that my savings would be eaten by inflation. I have created a powerful tool that based on past technical patterns (volatility, moving averages, statistics, trends, candlesticks, support and resistance, stock index indicators).
All the ones you know (RSI, MACD, STOCH, Bolinger Bands, SMA, DEMARK, Japanese candlesticks, ichimoku, fibonacci, williansR, balance of power, murrey math, etc) and more than 200 others.

The tool creates prediction models of correct trading points (buy signal and sell signal, every stock is good traded in time and direction).
For this I have used big data tools like pandas python, stock market libraries like: tablib, TAcharts ,pandas_ta... For data collection and calculation.
And powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM.

With the models trained with the selection of the best technical indicators, the tool is able to predict trading points (where to buy, where to sell) and send real-time alerts to Telegram or Mail. The points are calculated based on the learning of the correct trading points of the last 2 years (including the change to bear market after the rate hike).

I think it could be useful to you, to improve, I would like to share it with you, and if you are interested in improving and collaborating I am also willing, and if not file it in the box.

If tou want, Please read the readme , and in case of any problem you can contact me ,
If you are convinced try to install it with the documentation.
https://github.com/Leci37/LecTrade/tree/develop I appreciate the feedback