{"repo":"safteinzz/AITradeTrendTracker","free":true,"listed":false,"github":"https://github.com/safteinzz/AITradeTrendTracker","clone":"git clone https://github.com/safteinzz/AITradeTrendTracker.git","description":"A machine learning-driven platform that integrates sentiment analysis and advanced predictive modeling to forecast stock market trends. It leverages TensorFlow, financial news analysis, and technical indicators within a Django web interface to offer insightful stock price predictions.","language":"Python","stars":10,"topics":["django","finance","machine-learning","prediction","sentiment-analysis","stock-market","technical-analysis","tensorflow","tradingview"],"license":"MIT","category":"machine-learning","readme_excerpt":"Stock Price Prediction System Overview This system leverages advanced machine learning techniques and algorithms, including TensorFlow and various others, combined with news crawling technologies to predict stock prices. It utilizes data from TradingView and performs analysis based on the latest financial news to make informed predictions. Features - News Crawling : Dynamically scrapes the latest financial news for stock analysis. - Sentiment Analysis on News : Extends the news crawling feature by analyzing the sentiment of financial news articles. This involves evaluating the positivity or negativity of news content to assess its potential impact on stock prices. - Data Analysis : Utilizes TensorFlow along with K-Nearest Neighbors (KNN), LSTM models, and other algorithms for predictive analysis. - TradingView Integration : Employs TradingView's charts for displaying stock price movements and predictions. - Indicator Analysis : Incorporates financial indicators such as Bollinger Bands, MACD, RSI, and DEMA for comprehensive analysis. - Comprehensive chart view : Thanks to tradingview the prediction and the actual data is shown in a very familiar way to traders. Technologies Used - Python : Primary programming language for backend development. - Django : The web framework for developing the platform's web interface. - TensorFlow : For creating deep learning models. - Pandas & NumPy : For data manipulation and analysis. - Yahoo fin : To fetch historical stock data. - GoogleNews ","default_branch":null,"files":null,"tree":[],"storefront":"/r/safteinzz","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/safteinzz/AITradeTrendTracker/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}