nagendrasinh's repositories
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
api-sample-code
Swift APIs sample code
automated-trading-strategy-using-machine-learning
Manning liveProject 'Developing and Testing an Automated Trading Strategy using Machine Learning in Python'
banking-swift-messages-java
Banking SWIFT Library, MT Format Message Parser Writer SWIFT(Society for Worldwide Interbank Financial Telecommunication)
data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
data-engineering-practice
Data Engineering Practice Problems
Databricks-Certified-Data-Engineer-Associate
The resources of the preparation course for Databricks Data Engineer Associate certification exam
databricks-F1-Project
A data pipeline project build on databricks and azure to demostrate lifecycle of a cloud data project.
Deep-Learning-Machine-Learning-Stock
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
employee-mgmt-laravel5.4-adminlte
The project is using laravel 5.4 and adminlte
gpi-v4-demo
Java client application consuming gpi v4 APIs using SWIFT SDK.
jugaad-data
Download historical data for Indian stock market
loan-management-system
Loan Management Software
mediaplayer
QML, C++ mediaplayer
mgw-java
Sample java client application using SWIFT Microgateway to call SWIFT gpi Get Changed Payment Transaction API.
ml-road
Machine Learning Resources, Practice and Research
OpenCATS
Applicant Tracking System (maintained code base)
path-to-senior-engineer-handbook
All the resources you need to get to Senior Engineer and beyond
pyalgostrategypool
Official pool of Algorithmic Trading Strategies powered by the AlgoBulls Platform
quant-trading
Python quantitative trading strategies including Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
stock-market-app
An app to track market stock prices and their graph of price variation, etc.
Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
stock-price-forecaster-lstm
A Django app to predict realtime stock market prices for NSE India and NYSE using LSTM.
Stock.Indicators
A .NET library that produces stock indicators. Send in stock quote history and get back the desired technical indicators. Nothing more. It can be used in any kind of stock analysis software. We had private trading algorithms, machine learning, and charts in mind when originally creating this open library. Current indicators include: Accumulation Distribution Line (ADL), Aroon, Average Directional Index (ADX), Average True Range (ATR), Beta Coefficient, Bollinger Bands, Chaikin Money Flow (CMF), Chaikin Oscillator, Chandelier Exit, ConnorsRSI, Commodity Channel Index (CCI), Correlation Coefficient, Donchian Channel, Double EMA, Exponential Moving Average, Heikin-Ashi, Hull Moving Average, Ichimoku Cloud, Keltner Channel, Money Flow Index (MFI), Moving Average Convergence/Divergence (MACD), On-balance Volume (OBV), Parabolic SAR, Price Momentum Oscillator (PMO), Rate of Change (ROC), Relative Strength Index (RSI), R-Squared, Simple Moving Average, Standard Deviation, Stochastic Oscillator, Stochastic RSI, Ulcer Index, Linear Weighted Moving Average (WMA / LWMA), William %R, Zig Zag
ta-lib-python
Python wrapper for TA-Lib (http://ta-lib.org/).
zerodha-algo-trading
A codebase to connect zerodha connect along with algo trading library to use power of algo trading with zerodha
Zerodha_Live_Automate_Trading-_using_AI_ML_on_Indian_stock_market-using-basic-python
Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊