Predict assets like currencies, cryptocurrencies, and stock prices using ML models

Study of a system for analyzing historical stock data with predictions using a neural network.

PredictBay is an innovative project that aims to revolutionize decision-making in investment strategies through intelligent forecasting. Our platform utilizes advanced machine learning algorithms to provide accurate predictions for stocks from all over the world.

Pulls stock data from Yahoo Finance with the yfinance API to be used in a Discounted Cash Flow

This project is a Python-based trading simulator that allows users to simulate trading strategies, manage an order book, and interact with a mock trading environment using various algorithmic traders. The simulator includes a FIX (Financial Information eXchange) protocol handler, a market-making algorithm, and synthetic liquidity generation.

adding all working code in main.py and data contains the example of t… …he data fetched an mcap-- excel contains the list of all stocks present in nse by march 31 2024 and symbol result contains two sheets valid and invalid sshhet, here valid sheet contain all the stocks symbols by which this script can fetch the data using yfinace

Application to finance

Developed a stock market analysis and prediction tool using neural networks and Prophet, achieving an average 0.85 R² score , providing accurate and real-time insights via Streamlit. This helps investors to enhances investment strategies.

The Stock Price Prediction System is a web-based application that combines machine learning and real-time data retrieval to forecast stock prices. Built using Python's Flask framework and powered by Keras, the system provides users with predictive insights based on historical stock data

A Flask app that serves as a sentiment analysis RESTful API and serves JSON responses.

Analysis of market trend using Deep Learning is project that forecasts stock prices using historical data and ML models. Leveraging data collection, feature engineering, and model training. Primarily designed for the Indian stock market, it is adaptable for international markets, providing valuable insights for investors and analysts.

Stock price predictor LSTM Sequential Model with Dropout Regularization by which we can analyse any stock tickers, do its fundamental analysis using fundamental ratios and charts visualisations of 100MA and 200MA and can also predict stock price for next 10 days with its trend. Can also view candle stick charts for stock trading and latest news.

This repo analyzes historical stock data from 2020 to 2024, providing insights into the performance of top sectors.

Investa is a full-stack stock market simulator providing real-time trading data.

Working with Alpaca's API, to help make develping strategies an easier task

Stonks Rabbi is a streamlit-based application that uses the Yahoo Finance API to visualize and analyze stock trends, patterns, and performance over its listed time period. The metadata is handled through pymongo, the frontend is on streamlit, and autoARIMA, pandas, and matplotlib are used for data analytics and visualization.

Track stock and forex market data and send notification when user defined criteria's met.

Analyst Screener for S&P500 Stocks

Stock Trend Prediction with LSTM is a powerful tool designed to empower users with insights into the dynamic world of stock market trends. Leveraging cutting-edge technologies such as Long Short-Term Memory (LSTM) networks and real-time data from Yahoo Finance, this project enables users to forecast future price movements of stocks with precision.

In today's financial market,news sentiment plays a crucial role in shaping investor behavior and influencing stock prices. By analyzing the sentiment behind stock-related news articles, investors can gain valuable insights to make informed trading decisions.We have performed sentiment analysis of the twitter data based on a whole day to analyse it.