lohithn4 / stock-market-prediction
A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) has been carried out for Google Stock Market prediction using Yahoo and Google finance historical data.
☆25Updated 11 months ago
Alternatives and similar repositories for stock-market-prediction:
Users that are interested in stock-market-prediction are comparing it to the libraries listed below
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 7 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆45Updated 4 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆31Updated 6 years ago
- Stock market and Twitter data☆26Updated 7 years ago
- A financial trading method using machine learning.☆58Updated last year
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆60Updated 5 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM☆52Updated 4 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆46Updated 4 years ago
- This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.☆65Updated 5 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆45Updated 4 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆69Updated 7 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆27Updated 5 years ago
- LSTM stock prediction and backtesting☆14Updated 5 years ago
- Stock market prediction is the method of trying to determine the future value of publically listed company stock traded on an exchange. T…☆47Updated 8 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆47Updated 7 years ago
- Quantopian Pairs Trading algorithm implementation.☆58Updated 7 years ago
- Deep Trading using Convolutional Neural Network☆27Updated 7 years ago
- Quantitative Finance using python - Derivatives Pricing☆43Updated 7 years ago
- A Python based High Frequency Trading system that uses the Kite Connect API☆35Updated 7 years ago
- Capital Asset Pricing Model implementation in python to analyze stock risk and return.☆26Updated 3 years ago
- trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the …☆57Updated 5 years ago
- Built a smart beta portfolio and compared it to a benchmark index by calculating the tracking error. Built a portfolio using quadratic pr…☆63Updated 6 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 5 years ago
- 💸 A long-short equity quantitative trading strategy (sentiment-based)☆38Updated 7 years ago
- Stock and Forex market prediction using ML and time-series modelling☆37Updated 6 years ago
- 😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to…☆63Updated 4 years ago
- World Quant University Capstone Project - Swing Trading☆11Updated 2 years ago
- The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return☆37Updated 4 years ago