StockFolio is a (mock) stock market picker where one can build their portfolio from the Nifty50 stocks. This is a React, Redux, Typescript project with Scss, Framer motion and Firebase.
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Updated
Jan 2, 2021 - TypeScript
StockFolio is a (mock) stock market picker where one can build their portfolio from the Nifty50 stocks. This is a React, Redux, Typescript project with Scss, Framer motion and Firebase.
Official Repo of Nifty50.live
Golden Cross strategy implementation in S&P500 and NIFTY50 historical data.
Scrapping Sensex & Nifty data using Node.js(puppeteer) | Data from Moneycontrol
Using weighted average formula, profit and loss is calculated in Bank Nifty Data of 5 min
Option Chain Data with Delta Greek
Nifty/BNF Non Directional Strategy Backtest & Forward Test
Predicting the value of an obfuscated metric relevant for making trading decisions.
Created LSTM model predicts the stock price of NIFTY 50 with help of various indicators.
This is a backtesting framwork(again, kinda) to understand if doing SIP with any kind of strategy that people talk about are worth looking into or not.
Finance concepts in python.
Analyzing the stocks from data given by NIFTY50 on Kaggle
The Python Library For QtsApp which displays the option chain in near real-time. This program retrieves this data from the QtsApp site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain along with Implied Volatatlity (IV), Open Interest (OI), Delta, Theta, Vega…
Unofficial Specification for the Kuvera read APIs
An Option Chain Notifier service which provide relevant CE option chain data like Time Value, LTP, Strike % down from Nifty current price for current and upcoming weekly expiry.
This repository contains code and videos related to financial data analysis using python.
1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock. 2. Then we use machine learning LSTM technique to predict the future stock price and at last create an interactive web-app using Streamlit in python.
Created ML Model which predicts profit/loss based on the details given.
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