Introducing neural networks to predict stock prices
☆773Aug 3, 2019Updated 6 years ago
Alternatives and similar repositories for IntroNeuralNetworks
Users that are interested in IntroNeuralNetworks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Use unsupervised and supervised learning to predict stocks☆1,909Jun 18, 2020Updated 5 years ago
- Using python and scikit-learn to make stock predictions☆1,933Jun 17, 2024Updated last year
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆618Mar 30, 2023Updated 2 years ago
- An open source library for portfolio optimisation☆369Feb 27, 2024Updated 2 years ago
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,721Mar 1, 2024Updated 2 years ago
- Deep Learning based Python Library for Stock Market Prediction and Modelling☆2,263Jan 17, 2021Updated 5 years ago
- Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]☆761Jul 6, 2022Updated 3 years ago
- Stock Price Prediction using Machine Learning Techniques☆1,529Aug 8, 2023Updated 2 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆435Aug 28, 2021Updated 4 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆420Oct 29, 2019Updated 6 years ago
- Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau☆1,982May 4, 2025Updated 10 months ago
- Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy☆1,314Jul 2, 2020Updated 5 years ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆667Dec 28, 2025Updated 2 months ago
- A stock trading bot that uses machine learning to make price predictions.☆664May 18, 2022Updated 3 years ago
- Programs for stock prediction and evaluation☆373Feb 11, 2026Updated last month
- Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations☆9,247Apr 16, 2023Updated 2 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆806May 21, 2016Updated 9 years ago
- Portfolio optimization with deep learning.☆1,117Jan 24, 2024Updated 2 years ago
- Use NLP to predict stock price movement associated with news☆875Jul 15, 2024Updated last year
- QTPyLib, Pythonic Algorithmic Trading☆2,254Sep 22, 2021Updated 4 years ago
- 📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.☆1,399Nov 29, 2018Updated 7 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆624Mar 25, 2023Updated 2 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆316Sep 28, 2020Updated 5 years ago
- Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.☆1,973Jul 28, 2022Updated 3 years ago
- Quantitative finance research tools in Python☆455Feb 2, 2023Updated 3 years ago
- Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment ana…☆2,447Dec 5, 2023Updated 2 years ago
- quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha com…☆238Sep 2, 2022Updated 3 years ago
- Repository for teachings on Quant Finance☆51Nov 12, 2019Updated 6 years ago
- Quant/Algorithm trading resources with an emphasis on Machine Learning☆3,524May 21, 2025Updated 10 months ago
- Deep learning for forecasting company fundamental data☆141Jul 23, 2019Updated 6 years ago
- Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Str…☆9,471Apr 14, 2024Updated last year
- Simple to use interfaces for basic technical analysis of stocks.☆371Dec 28, 2023Updated 2 years ago
- List of awesome resources for machine learning-based algorithmic trading☆1,841Aug 8, 2023Updated 2 years ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆973Apr 22, 2024Updated last year
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆531Jul 12, 2021Updated 4 years ago
- Mostly experiments based on "Advances in financial machine learning" book☆566Nov 29, 2020Updated 5 years ago
- Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Ti…☆2,240Aug 27, 2022Updated 3 years ago
- MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable…☆4,618Oct 2, 2023Updated 2 years ago
- Reinforcement Learning for Portfolio Management☆476Jun 26, 2018Updated 7 years ago