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

GitHub

741 stars
51 watching
205 forks
Language: Python
last commit: over 5 years ago
Linked from 1 awesome list

algorithmic-tradingdata-sciencefinanceguidekeras-tensorflowlstm-neural-networksmachine-learningmlp-networksneural-networkpredictionprediction-modpythonquantitative-financeregression-modelsstock-price-predictionstock-pricestradingtrading-strategiestutorialyahoo-finance

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
vivekpa/aialpha This project trains machine learning models to predict stock returns using various algorithms and techniques. 1,734
robertmartin8/machinelearningstocks A Python project applying machine learning to predict stock price movements based on historical data and fundamental analysis. 1,764
shikhar1998/stock-market-prediction-using-neural-networks-and-genetic-algorithm An AI model predicting stock market prices using neural networks and genetic algorithms 77
achillesrasquinha/bulbea A library for building machine learning models to predict stock prices and analyze market sentiment. 2,052
lastancientone/deep_learning_machine_learning_stock An in-depth analysis and experimentation of stock market prediction using machine learning and deep learning techniques. 1,254
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 573
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. 48
timestocome/test-stock-prediction-algorithms An experimental repository exploring time series analysis and prediction techniques using various machine learning approaches. 421
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 1,458
microprediction/timemachines Provides a simple and unified interface to various univariate time-series prediction algorithms 405