IntroNeuralNetworks
stock predictor
An educational project to teach machine learning and neural networks using stock price prediction as an example
Introducing neural networks to predict stock prices
744 stars
53 watching
205 forks
Language: Python
last commit: about 7 years agoLinked from 1 awesome list
algorithmic-tradingdata-sciencefinanceguidekeras-tensorflowlstm-neural-networksmachine-learningmlp-networksneural-networkpredictionprediction-modpythonquantitative-financeregression-modelsstock-price-predictionstock-pricestradingtrading-strategiestutorialyahoo-finance
grananqvist/awesome-quant-machine-learning-tradingRelated projects:
| Repository | Description | Stars |
|---|---|---|
| vivekpa/aialpha | This project trains machine learning models to predict stock returns using various algorithms and techniques. | 1,745 |
 robertmartin8/machinelearningstocks | A Python project applying machine learning to predict stock price movements based on historical data and fundamental analysis. | 1,781 |
 shikhar1998/stock-market-prediction-using-neural-networks-and-genetic-algorithm | An AI model predicting stock market prices using neural networks and genetic algorithms | 78 |
 achillesrasquinha/bulbea | A library for building machine learning models to predict stock prices and analyze market sentiment. | 2,062 |
 lastancientone/deep_learning_machine_learning_stock | An in-depth analysis and experimentation of stock market prediction using machine learning and deep learning techniques. | 1,259 |
 nazanin1369/stockpredictor | Uses machine learning and deep learning to predict stock movement based on historical data from Yahoo Finance. | 49 |
 keon/deepstock | An experimental project exploring the use of deep learning to analyze and predict stock market trends. | 470 |
 nourozr/stock-price-prediction-lstm | A Python project that uses LSTM recurrent neural networks to predict the average price of Apple Inc. stock based on historical data | 576 |
 sravb/algorithmic-trading | An algorithmic trading system using machine learning and historical stock data to predict price movements. | 113 |
 malhartakle/mastersdissertation | An experimental project comparing different machine learning algorithms and ensemble methods for predicting stock market trends. | 1 |
 hamid-nasiri/vmd-mfrfnn | An implementation of a multi-step-ahead stock price prediction algorithm using recurrent fuzzy neural networks and variational mode decomposition. | 50 |
 timestocome/test-stock-prediction-algorithms | An experimental repository exploring time series analysis and prediction techniques using various machine learning approaches. | 422 |
 kh-kim/stock_market_reinforcement_learning | Provides a general environment for stock market trading simulation using OpenAI Gym and reinforcement learning algorithms | 791 |
 deependersingla/deep_trader | An agent learns to trade stocks using reinforcement learning | 1,464 |
 microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 413 |