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awesome-pinescript

A Comprehensive Collection of Everything Related to Tradingview Pine Script.

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

bhavfno

Analyze FnO trends by using NSE Bhav copy

bionic

Bionic Reading for the Terminal

datafeed_alert

Play alert when local data feed is interrupted.

datascience

Curated list of Python resources for data science.

decisiveml

Machine learning end-to-end research and trade execution

deep_fc

for creating deep fk.

deepar

Tensorflow implementation of Amazon DeepAR

deepface

deeplearning

deepspeech

Deepspeech transfer learning using custom data

docs

expiry_date

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python.

gamestonkterminal

The next best thing after Bloomberg Terminal

gym-trading

Environment for reinforcement-learning algorithmic trading models

inpredo

Inpredo is a Deep Learning tool which looks into financial charts and predicts stock movements.

inscraper

Simple Instagram web scraper built using Python and Playwright.

investpy

Financial Data Extraction from Investing.com with Python

lightweight-charts-python

Python framework for TradingView's Lightweight Charts JavaScript library.

lstm_categorical

A sample time series to find LSTM efficiency

machine-learning-asset-management

Machine Learning in Asset Management

magiskonwsa

Integrate Magisk root and Google Apps (OpenGApps) into WSA (Windows Subsystem for Android)

miscellaneous

Persistent QT5 window to display Datetime (yyyy-mm-dd Day hh:mm:ss) CPU% RAM% and Internet bandwidth

mljar-examples

Examples how MLJAR can be used

news_feed

This parses through several WSJ RSS feeds and creates an audio file out of the article summaries.

nlp

NLP with deep learning, main interest is Twitter sentiment analysis

nptel2020-indian-english-speech-dataset

NPTEL2020: Speech2Text dataset for Indian-English Accent

py-market-profile

A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.