Pinned Repositories
Jarvis
Personal Assistant for Linux and macOS
A-Value-Investment-Strategy-That-Combines-Security-Selection-And-Market-Timing-Signals
A Value Investment Strategy That Combines Security Selection And Market Timing Signals
blog
Code and data for my blogs
Data-Analysis
Data Science Using Python
echo
For controlling local devices with the Amazon Echo
FinanceScripts
Scripts for financial analysis
hello-world
N1
:love_letter: An extensible desktop mail app built on the modern web.
Notification
Notify
Sample Android app that shows how to send device-to-device push notifications without writing server-side code. Uses an implementation of Firebase Cloud Messaging SDK
hemantprakash123's Repositories
hemantprakash123/StockScreeningScript
A stock screener written in python utilizing pandas and beautiful soup, which websrapes fundamental data from yahoo finance, performs data transformation, and filters stocks based on Piotroski F-score, magic formula by Goel Greenblatt, and 6 month index.
hemantprakash123/blog
Code and data for my blogs
hemantprakash123/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.
hemantprakash123/Stock-Market-Sentiment-Analysis
Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka
hemantprakash123/Notification
hemantprakash123/Data-Analysis
Data Science Using Python
hemantprakash123/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 😊
hemantprakash123/Jarvis
Personal Assistant for Linux and macOS
hemantprakash123/A-Value-Investment-Strategy-That-Combines-Security-Selection-And-Market-Timing-Signals
A Value Investment Strategy That Combines Security Selection And Market Timing Signals
hemantprakash123/Notify
Sample Android app that shows how to send device-to-device push notifications without writing server-side code. Uses an implementation of Firebase Cloud Messaging SDK
hemantprakash123/echo
For controlling local devices with the Amazon Echo
hemantprakash123/FinanceScripts
Scripts for financial analysis
hemantprakash123/StockPredictions
Stock Predictions through NYTimes article headlines sentiment analysis.
hemantprakash123/Stock-Prediction
The git is about Indian Stock market prediction.
hemantprakash123/Smoothproducts
A simple, lightweight and responsive product image viewer using jQuery
hemantprakash123/N1
:love_letter: An extensible desktop mail app built on the modern web.
hemantprakash123/hello-world