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Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
About This repository contains a Python script that allows users to download the audio from a YouTube video, transcribe it into text, detect the language and save the transcription in txt file.
Slides and colab scripts used for Women in ML symposium : Keras: Shortcut to AI Mastery
A web application for real-time machine learning and sentiment analysis on Tweets
This Python script parses Reddit's API to find mentions of stock $tickers to gauge their rising popularity.
Jupyter notebooks from the scikit-learn video series
This repository contains everything you need to become proficient in Time Series Analysis and Forecasting
A curated list of practical financial machine learning tools and applications.
Detailed web scraping tutorials for dummies with financial data crawlers on Reddit WallStreetBets, CME (both options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE and alternative data cra…
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
Detailed web scraping tutorials for dummies with financial data crawlers on Reddit WallStreetBets, CME (both options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE and alternative data cra…
A Python package for extracting posts from reddit (r/wallstreetbets) and running through the vader sentiment analyser.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
An algorithmic trading strategy based on sentiment analysis of r/wallstreetbets
Python Pushshift.io API Wrapper (for comment/submission search)
An improved version of the original AutoDD
Finance application that provides more than 60 different alternative data to retail investors
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Capstone project - To visualize stock symbol chatter on Reddit
This is the code to my research project for AP Capstone Research. This project focused on finding the correlation coefficients of 50,000 Reddit comments from r/stocks, r/wallstreetbets and r/invest…
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.
TweeQL is a Query Language for Tweets: SELECT brand(text) AS brand, sentiment(text) AS sentiment FROM twitter_sample;
16 Text Preprocessing Techniques in Python for Twitter Sentiment Analysis.
TweetNLP for all the NLP enthusiasts working on Twitter! The Python library tweetnlp provides a collection of useful tools to analyze/understand tweets such as sentiment analysis, emoji prediction,…