In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), and Bollinger Bands to predict the price of Bank Nifty.
☆40Apr 19, 2021Updated 5 years ago
Alternatives and similar repositories for Stock-Price-Prediction-using-LSTM-and-Technical-Indicators
Users that are interested in Stock-Price-Prediction-using-LSTM-and-Technical-Indicators are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This contains our project for the course Data Mining, titled Stock Market Predictor. The project applies various Models (such as ARIMA, S…☆12Apr 21, 2020Updated 6 years ago
- A collection of notebooks and different prediction models that can predict the stock prices. Also a comparison of how all these models pe…☆34Jan 18, 2021Updated 5 years ago
- Trading Bot built using the Alpaca API in Python. Indicators used for Signal Generation: EMA, StochRSI, and Stochastic Oscillator☆25Mar 10, 2022Updated 4 years ago
- implementation of ACL2018: Stock Movement Prediction from Tweets and Historical Prices☆12Nov 19, 2018Updated 7 years ago
- Platform providing market news & forecasting tools for forex traders. Uses LSTM model to predict exchange rates using historical OHLC dat…☆17May 30, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆15Dec 9, 2017Updated 8 years ago
- ☆11Jul 20, 2015Updated 11 years ago
- Queries related to creating an AI Email Assistant with MindsDB and GPT4.☆11Oct 17, 2024Updated 2 years ago
- Applying Hidden Markov Models to model Gold Intraday Volatility by detecting regime switches from low-vol regimes to high-vol☆16Feb 17, 2021Updated 5 years ago
- Python codes for GARCH-MIDAS model (estimation & forecast)☆15Jan 28, 2023Updated 3 years ago
- Understanding the supply chain process data and implementing different algorithms, building a machine learning model that can predict whe…☆13Sep 7, 2022Updated 4 years ago
- In this project first we fetch data of any stock(NSE) in realtime then we evaluate the stock price using basics visualizations then we…☆12Mar 24, 2023Updated 3 years ago
- Python functions and an associated Jupyter notebook for technical analysis of stock price data. Numpy is used for calculating technical …☆44May 24, 2024Updated 2 years ago
- Interest-rate modeling and Fixed Income Pricing in Python☆12Dec 23, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Technical Analysis Indicators Collection☆21Jan 14, 2025Updated last year
- Alpaca AI Paper-trading bot using Python☆20Jan 4, 2023Updated 3 years ago
- PortfolioLab is a python library that enables traders who want to take advantage of the latest portfolio optimisation algorithms used by …☆18Jan 11, 2021Updated 5 years ago
- Pairs trading backtesting enviroment built with Python.☆14May 8, 2022Updated 4 years ago
- ☆16Oct 25, 2020Updated 5 years ago
- Machine Learning Project where we predicted whether a customer will pass through a wait-list on IRCTC. Indian Railways get a lot of booki…☆12Feb 24, 2017Updated 9 years ago
- A hybrid model to predict the volatility of stock index with LSTM and GARCH-type input parameters☆27Dec 17, 2020Updated 5 years ago
- soft attention mechanism with lstm neural networks☆16Feb 12, 2020Updated 6 years ago
- Docx MailMerge is a ruby gem that takes a Word document (.docx) with mail merge fields and replaces the mail merge fields with data.☆18Jan 15, 2014Updated 12 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A multi-factor stock selection model based on random forest with an average annualized yield of 33.74% from March 2014 to June 2017 when …☆17Feb 24, 2019Updated 7 years ago
- Predicting a Stock Price Using a Genetic Algorithm☆16Feb 8, 2018Updated 8 years ago
- ☆12Nov 30, 2022Updated 3 years ago
- NSE Stock Market Analyser in a python based tool which makes use of "nsetools" and requests api to fetch stock data in json format. In th…☆11Aug 15, 2020Updated 6 years ago
- LSTM based lottery forecast model☆14Feb 6, 2023Updated 3 years ago
- asimkymk / Stock-Market-Trend-Forecasting-Using-Explainable-Artificial-Intelligence-and-Multi-FactorAims to develop a comprehensive framework for predicting stock market trends by combining traditional time series analysis with multi-fac…☆12May 29, 2023Updated 3 years ago
- Implementation of stock technical indicators and deep LSTM for closing price 30-day lookahead predictions (for learning purposes only).☆30Sep 11, 2022Updated 4 years ago
- Model news data in short, medium and long term for stock price trend prediction☆19Feb 12, 2018Updated 8 years ago
- ☆11Feb 7, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Python code to fetch Option chain data of Nifty and Bank Nifty and do some calculations to generate Intraday trend.☆33Jan 4, 2021Updated 5 years ago
- Time Series analysis with Python and ARIMA model to forecast Bitcoin price☆24Sep 5, 2018Updated 8 years ago
- Final Year Capstone Project for B.Tech in Computer Science☆14May 17, 2020Updated 6 years ago
- A basic implementation to download historic prices, apply a strategy, and see the strategy performance vis-a-vis the actual stock prices.☆46Nov 18, 2023Updated 2 years ago
- ☆22Mar 20, 2023Updated 3 years ago
- Profitable Reinforcement Learning Agent on Crypto Markets☆14Apr 26, 2023Updated 3 years ago
- ☆10Aug 21, 2015Updated 11 years ago