pablovenini

pablovenini's Stars

• Avaiga/taipy

  Turns Data and AI algorithms into production-ready web applications in no time.

  Language:Python12k836

• JerBouma/FinanceToolkit

  Transparent and Efficient Financial Analysis

  Language:Python2.8k342

• crapher/pyhomebroker

  Language:Python9941

• rajeshkasaniya/Algorithmic-Trading

  Implemented 52 week high breakout strategy for Nifty 50 stocks and backtested it on 15 years historical data.

  Language:Jupyter Notebook21

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python219k24.8k

• JerBouma/FinanceDatabase

  This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

  Language:Jupyter Notebook3.3k375

• wilsonfreitas/awesome-quant

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

  Language:Python17.6k2.6k

• polakowo/vectorbt

  Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

  Language:Python4.2k609

• vincentjs/oshaughnessey

  Implements the "Trending Value" strategy introduced by James O'Shaughnessey in his book, "What Works on Wall Street"

  Language:Python125

• markleeb/stock_strategies

  Stock picking and backtesting scripts designed to mirror some of James O'Shaughnessy's strategies outlined in his book 'What Works on Wall Street'

  Language:Python2

• sahilsuman933/Stock-Analysis-Scraper

  This project scrapes 0.8 Million data from stockanalysis.com along with all the filters and updates it on a Google Sheet every 15 minutes.

  Language:JavaScript6

• mariostoev/finviz

  Unofficial API for finviz.com

  Language:Python1.1k276

• MelnNik/ETFs-Portfolio-Analysis

  Track positions of the investment companies. Leveraging the ideas of James O'Shaughnessy from his book 'What works on Wall Streat' to choose the best stocks from the ETFs with the growth potential according to his growth strategy.

  Language:Jupyter Notebook2

• shejz/Machine-Learning-Projects

  Solved end-to-end machine learning projects

  Language:Jupyter Notebook3016

• PacktPublishing/Python-for-Finance-Cookbook-2E

  The repository of "Python for Finance Cookbook" 2nd edition

  Language:Jupyter Notebook9864

• Quantreo/2nd-edition-BOOK-AMAZON-Python-for-Finance-and-Algorithmic-Trading

  Language:Jupyter Notebook12281

• rubenjohne/squeeze

  Language:Python1

• Leo4815162342/dukascopy-node

  ✨ Download historical price tick data for Crypto, Stocks, ETFs, CFDs, Forex via CLI and Node.js ✨

  Language:TypeScript34464

• linexjlin/GPTs

  leaked prompts of GPTs

  28.3k3.8k

• shashankvemuri/Finance

  150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

  Language:Python2k32

• Timonsc/HAApy

  Language:Python51

• DidierRLopes/fear-greed-index

  Python CNN Fear and Greed Index wrapper

  Language:Jupyter Notebook7712

• vthoquant/awesome-python

  A curated list of awesome Python frameworks, libraries, software and resources

  31

• rawsashimi1604/Stock_EXPOREG

  Andreas Clenow's exponential regression stock ranking system. It uses linear regression and R-Squared to determine how smooth and powerful the momentum is.

  Language:Python51

• ravibhaskar1986/Stocks-on-the-Move

  Python program for filtering momentum stocks based on rules defined in book Stocks on the Move by Andreas Clenow

  Language:Python41

• vthoquant/momentum_invest_clenow

  Language:Python1

• simplyvikram/Trading_Evolved_Clenow

  Language:Jupyter Notebook2

• dxcv/PVAUTOMATE

  Create PV benchmarks as assets

  1

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML111k15.1k

• awesome-gptX/awesome-gpt

  🏆 An awe-inspiring collection of resources, encompassing a wide range of tools, documents, resources, applications, and use cases related to ChatGPT.

  96198