sivaprasad347

sivaprasad347's Stars

• twintproject/twint

  An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

  Language:Python15.9k2.7k

• sojohnnysaid/project-guide

  Your magical AI-powered project documentation generator

  Language:Python241

• paperswithbacktest/awesome-systematic-trading

  A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

  Language:Python4.4k690

• deshwalmahesh/NSE-Stock-Scanner

  National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more

  Language:Jupyter Notebook221156

• jpmorganchase/python-training

  Python training for business analysts and traders

  Language:Jupyter Notebook6.8k1.2k

• suchak1/hyperdrive

  algorithmic trading using machine learning

  Language:Python14119

• chrisconlan/algorithmic-trading-with-python

  Source code for Algorithmic Trading with Python (2020) by Chris Conlan

  Language:Python2.8k510

• Yvictor/TradingGym

  Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

  Language:Python1.6k354

• shashankvemuri/Finance

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

  Language:Python2.3k82

• dingran/quant-notes

  Quantitative Interview Preparation Guide, updated version here ==>

  Language:Jupyter Notebook767136

• Rustin170506/build-my-own-x

  Some of the toys I built, most of them written in Rust. The best way to learn is to practice. They are always about operating systems, databases, data structures, algorithms, and networks.

  Language:Rust123

• swapniljariwala/nsepy

  Python Library to get publicly available data on NSE website ie. stock quotes, historical data, live indices

  Language:Python763378

• Steax93/stock_price

  Stock-price prediction project with ML/DS

  1

• Asabeneh/30-Days-Of-Python

  30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

  Language:Python43.8k8.4k

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook13.5k2.5k

• soulmachine/machine-learning-cheat-sheet

  Classical equations and diagrams in machine learning

  Language:TeX7.5k1.3k

• aws-samples/aws-machine-learning-university-accelerated-nlp

  Machine Learning University: Accelerated Natural Language Processing Class

  Language:Jupyter Notebook2.4k612

• aeron7/nsepythonserver

  The Unofficial Python Wrapper for NSEIndia API For Servers

  Language:Python1510

• aeron7/nsepython

  The Unofficial Python Wrapper for NSEIndia API

  Language:Python260120

• ossu/code-of-conduct

  :v: OSSU's Code of Conduct

  42537

• microsoft/Windows-Machine-Learning

  Samples and Tools for Windows ML.

  Language:C++1k445

• ashishpatel26/ashishpatel26

  ashishpatel26

  8018

• rhidoyhasanmahmud/Interview-SQL-Challenge

  Solving practice questions is the fastest way to learn any subject. That’s why I’ve selected a set of Challenges that I can use to step up my learning.

  115

• xoraus/CrackingTheSQLInterview

  DBMS Concepts, SQL Queries & Schema Design for your Interviews.

  599149

• akashkankariya/PythonForFinance

  THis repository has all the source code for Python Trading series

  Language:Jupyter Notebook3526

• sarupbanskota/awesome-sqlite

  A curated list of awesome things related to SQLite

  1

• sarupbanskota/awesome-git

  A curated list of amazingly awesome Git tools, resources and shiny things

  1

• google/tf-quant-finance

  High-performance TensorFlow library for quantitative finance.

  Language:Python4.6k585

• sachinkumar1609/100-Days-of-Machine-learning

  The concept of "100 days of ML notes" refers to a self-directed learning challenge aimed at building a solid foundation in machine learning (ML) over a period of 100 days. Remember, consistency is key!

  Language:Jupyter Notebook6813

• ShubhamPy/Spam-Classifier

  In this project, I build a model and also implement that for classifying the message into spam or ham through the text of the message using standard classifiers.

  Language:Jupyter Notebook1219