Pinned Repositories
binary-live-api
JS library to consume Binary.com WebSocket API
Cucumber-BDD-Projects
java-api-wrapper
javakiteconnect
The official Java client for communicating with Kite Connect API.
kite-connect-python-example
Kite connect Python client example
metaapi-java-sdk
Java SDK for MetaApi, a professional cloud forex trading API for MetaTrader platform which supports both MetaTrader MetaTrader 5 and MetaTrader 4. CopyFactory copy trading API included. Free usage tier available.
opencodez-samples
The code repository for Opencodez. Here at this git, we are trying to share code for Java, Python, PHP, Oracle and any new technology we try our hands and feel it can add value.
posts
Material for posts
pykiteconnect
The official Python client library for the Kite Connect trading APIs
Robinhood-Trading-Journal
This project is python scripts, which uses mainly robinhood's private API and dash feature from plotly for creating visualized trading journal.
nagstn's Repositories
nagstn/binary-live-api
JS library to consume Binary.com WebSocket API
nagstn/Cucumber-BDD-Projects
nagstn/java-api-wrapper
nagstn/javakiteconnect
The official Java client for communicating with Kite Connect API.
nagstn/kite-connect-python-example
Kite connect Python client example
nagstn/metaapi-java-sdk
Java SDK for MetaApi, a professional cloud forex trading API for MetaTrader platform which supports both MetaTrader MetaTrader 5 and MetaTrader 4. CopyFactory copy trading API included. Free usage tier available.
nagstn/opencodez-samples
The code repository for Opencodez. Here at this git, we are trying to share code for Java, Python, PHP, Oracle and any new technology we try our hands and feel it can add value.
nagstn/posts
Material for posts
nagstn/pykiteconnect
The official Python client library for the Kite Connect trading APIs
nagstn/Robinhood-Trading-Journal
This project is python scripts, which uses mainly robinhood's private API and dash feature from plotly for creating visualized trading journal.
nagstn/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.
nagstn/SeleniumCucumberBDD
Selenium Cucumber BDD Java Framework by Raghav Pal
nagstn/Website-Comparison-Tool
The Website Comparison Tool: The Website Comparison Tool automates the process of comparing websites by leveraging the power of Python and popular libraries such as requests, selenium, BeautifulSoup, and difflib. It offers a range of features specifically designed to support SQA tasks. ⚙️