bulbea
Stock price predictor
A library for building machine learning models to predict stock prices and analyze market sentiment.
Deep Learning based Python Library for Stock Market Prediction and Modelling
2k stars
130 watching
475 forks
Language: Python
last commit: almost 4 years ago
Linked from 2 awesome lists
deep-learningfinancemachine-learningpredictionpython-libraryquantitative-financequantitative-tradingsentiment-analysisstock-marketstock-market-predictionstock-prediction
Related projects:
Repository | Description | Stars |
---|---|---|
robertmartin8/machinelearningstocks | A Python project applying machine learning to predict stock price movements based on historical data and fundamental analysis. | 1,764 |
vivekpa/aialpha | This project trains machine learning models to predict stock returns using various algorithms and techniques. | 1,734 |
vivekpa/introneuralnetworks | An educational project to teach machine learning and neural networks using stock price prediction as an example | 741 |
shikhar1998/stock-market-prediction-using-neural-networks-and-genetic-algorithm | An AI model predicting stock market prices using neural networks and genetic algorithms | 77 |
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 |
keon/deepstock | An experimental project exploring the use of deep learning to analyze and predict stock market trends. | 470 |
nazanin1369/stockpredictor | Uses machine learning and deep learning to predict stock movement based on historical data from Yahoo Finance. | 49 |
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 |
malhartakle/mastersdissertation | An experimental project comparing different machine learning algorithms and ensemble methods for predicting stock market trends. | 1 |
sravb/algorithmic-trading | An algorithmic trading system using machine learning and historical stock data to predict price movements. | 113 |
timestocome/test-stock-prediction-algorithms | An experimental repository exploring time series analysis and prediction techniques using various machine learning approaches. | 421 |
edouardpoitras/nowtrade | A Python library for creating and backtesting algorithmic trading strategies using machine learning and technical indicators. | 104 |
panditanvita/btcpredictor | An algorithm for predicting Bitcoin prices using Bayesian regression techniques from historical data | 321 |
deependersingla/deep_trader | An agent learns to trade stocks using reinforcement learning | 1,458 |
jealous/stockstats | A Python library providing a wrapper around pandas.DataFrame with support for stock market statistics and indicators calculation | 1,303 |