AI-Stock-trading-bot stock trading bot stock tradingbot

StockStream is a web application developed using Streamlit, designed to provide users with real-time stock price data, stock price prediction, and stock price analysis. This repository contains the source code and related files for the StockStream web app. Explore the code and unleash the potential of StockStream for your financial analysis needs.

A repository to #BuildInPublic

iTick 提供免费实时的股票API，支持主要市场（美国、香港、中国、新加坡、日本等）的实时股票报价。包括 FIX、REST 和 Websocket API协议支持，可满足机构级客户的需求。我们的 iTick API 解决方案具有高度可扩展性，可让客户访问实时市场数据和见解。客户可以轻松地将我们的 iTick API 与其现有系统和应用程序集成，从而简化工作流程。

Web scraped S&P 500 Data from Wikipedia using Pandas and performed Exploratory Data Analysis on the data. Then used Yahoo Finance to get the related stock data and displayed them in the form of charts.

Stress Testing Financial Portfolios using S&P 500 Stock Data from Kaggle.

Richmond Quantitative Advisors data science internship project

Which sector/industry within the FTSE100 index recover fastest after market crash? This project aims to analyze historical data to make the judgement.

(Archived) SH/SZ Stock Helper (神户座) is a Windows app that can mainly search strike prices and volumes for users.

Interactive Stock Dashboard - (NSE Data)

An analysis of Tata Power's historical (July 2021- July 2022) stock data, that provides insights about Tata Power's stock value increase/ decrease on any given day.

FinanceHistoryDataReader - OHLCV + PER + PBR + ROE

A simple multipage Streamlit web app for classifying three datasets on the basis of three classifiers ('KNN', 'SVM', 'Random Forest') and on second page we have Stock Data Analysis which retrieve data like opening price, closing price, and other additional information and plotting graphs with the help of the information obtained using yfinance l…

Predicting the stock market is, without a doubt, one of the most challenging tasks in the finance industry. It is difficult to keep track of the market as many variables play an essential role in controlling it. Stock data analysis is used by investors and traders to make critical decisions related to the stocks. Investors and traders study and

This project focuses on exploring and predicting stock prices using historical stock market data. We apply exploratory data analysis (EDA) techniques and machine learning models (SVR and Random Forest Regressor) to forecast stock trends.

Tried my hands on yfinance library for analyzing stock prices and data. Here are some examples to demonstrate the working of this library.

Shiny R App - Stock Data Analysis

C project that accesses AlphaVantage Stock API to give stock information

Analyze the market-- Automate Stock Trade -- Predict Future Prices