Pinned Repositories
algo-trading
This is a sample project created while teaching a LearnApp course - Learn How Algo Trading Works
awesome-crypto-trading-bots
Awesome crypto trading bots
BankNIFTY-Golden-Ratio-Strategy
Its a bad but popular strategy that makes decent returns.
MibianLib
Python Options Pricing Library
rebelsaint's Repositories
rebelsaint/heroku-buildpack-chromedriver
Installs chromedriver in a Heroku slug
rebelsaint/candlestick-screener
web-based technical screener for candlestick patterns using Python and Flask
rebelsaint/BankNIFTY-Golden-Ratio-Strategy
Its a bad but popular strategy that makes decent returns.
rebelsaint/heroku-buildpack-google-chrome
Run (headless) Google Chrome on Heroku
rebelsaint/tradingview-alpaca-strategy-alert-webhook-heroku
TradingView Strategy Alert Webhook for Alpaca and Discord, including Heroku Procfile
rebelsaint/option_chain_analysis
NSE Nifty Option chain analysis on web page.
rebelsaint/binance-tutorials
Real-Time Candlestick Charts and Crypto Trading Bot using Binance API and Websockets
rebelsaint/FireOnAlert
rebelsaint/pynse
Library to extract realtime and historical data from NSE website
rebelsaint/zerodha-sandbox
Free sandbox for testing Zerodha's Kite and Coin APIs
rebelsaint/nsepython
The Unofficial Python Wrapper for NSEIndia API
rebelsaint/squirrel-backtest-engine
Backtesting Engine to Backtest Index Strategies on Options, Futures and Spot (BankNIFTY, NIFTY) for Indian Share Market
rebelsaint/udacimak
Udacity Nanodegree and Course Downloader
rebelsaint/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
rebelsaint/nsepy
Python Library to get publicly available data on NSE website ie. stock quotes, historical data, live indices
rebelsaint/cryptotaxsweden
Script for generating a tax report for cryptocurrency trading which can be sent to the Swedish tax authorities.
rebelsaint/ZerodhaPythonScripts
All scripts are in python language to trade in zerodha using algorithms.
rebelsaint/ZerodhaRequestToken
Zerodha Request Token is a python script built using selenium to automate the zerodha login process in order to get the request_token which will be further used to get the access_token.
rebelsaint/Zerodha-Selenium-Login
rebelsaint/sdoosa-algo-trade-app
Fully automated trading application with multiple brokers support using Node JS
rebelsaint/Technical-Indicators
Technical Indicators used in Stock Market Analysis
rebelsaint/ta4j
A Java library for technical analysis.
rebelsaint/zerodha-algo-trading
A codebase to connect zerodha connect along with algo trading library to use power of algo trading with zerodha
rebelsaint/javakiteconnect
The official Java client for communicating with Kite Connect API.
rebelsaint/pybacktest
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
rebelsaint/Zerodha_Live_Automate_Trading-_using_AI_ML_on_Indian_stock_market
Online trading using Artificial Intelligence Machine leaning with python on Indian Stock Market, trading using live bots indicators screener and backtesters using rest api and websocket 😊
rebelsaint/breakout-trading-strategy
Simple Breakout Trading Strategy based on Bollinger Bands
rebelsaint/smarttrade
rebelsaint/pandas-ta
An easy to use Python 3 Pandas Extension with 80+Technical Analysis Indicators
rebelsaint/stocktrends
A python package to calculate trends in stocks using Renko, PnF, LineBreak etc