vidnk Goto Github PK

-bioinformatics-with-python-

Bioinformatics with Python , Published by Packt

-hands-on-problem-solving-for-machine-learning

Hands-On Problem Solving for Machine Learning

-mastering-matplotlib-3

Mastering Matplotlib 3 by Packt Publishing

academy

Website for academy.erpnext.com

adblocker-detector

Detect if your visitors are using an ad blocker

advanced-deep-learning-with-python

Advanced Deep Learning with Python by Packt Publishing

aero-bootstrap-4x-admin-template

algo2trade-backtester

algo2trade-correl-database

algo2trade-data-tester

algo2trade-future-stock-selection

algo2trade-investment-screener

algo2trade-live

algo2trade-live-ohlc-strategy

algo2trade-live-two-third-

Two Third Live Only

algo2trade-option-data-tester

algo2trade-signal-check

algobroker

Algo execution engine

algorithmic-short-selling-with-python-published-by-packt

Algorithmic Short-Selling with Python

algorithmic-trading

Algorithmic-trading using Python

algotrading

Algo Trading using Zerodha

algotrading-1

Python Implementations of popular Algorithmic Trading Strategies

algotrading-2

This is complete algo trading package is for downloading historical OHLC data for backtesting and performing live trading on Interactive Brokers. For learning step by step procedure to recreate this is also included. OHLC data for backtesting and performing live trading on interactive brokers.

algotrading-3

Use the zipline and pyfolio to analyze trades.

algotrading-4

algotrading-5

Code repo for learning algorithmic trading

algotrading-6

Bolinger Band and RSI algorithms in C++

algotrading-workshop

algotradingbot

This repository consists several bots encoding various algorithmic trading strategies. The aim here is for absolute beginners in stock trading to get familiar with the various aspects of the market. All you need is basics of statistics and python to understand the underlying metrics and conditions utilized to make decisions. Contributions welcome.

algotradingnse

A project that tries to influence buying and selling of stocks using an algorithmic model built using an ensemble of KNN, Decision Tree, Random forest and SVM. The model depicts an ideal scenario for maximizing profits from a trade. A momentum strategy that is used to predict trading signal has been modelled based on a set of rules using various technical indicators