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kp7425's Projects

algorithmic-trading- icon algorithmic-trading-

Automated trading bot with Functional GUI using an integrated deep learning model to predict stock prices and flag buy and sell periods.

algorithmic-trading-bot icon algorithmic-trading-bot

Uses AWS Chalice, Python, Pine Script, TradingView Charts, and the Alpaca API in conjunction to make a stock trading bot.

alpaca-algotrading icon alpaca-algotrading

Engineered and backtested strategies using a variety of indicators and custom features. Optimized buy/sell conditions through custom optimization algorithm. Discovered most significant features through machine learning. Created Heroku app to maintain code during downtime. Implemented a portfolio manager that automatically handles, scales, and visualizes financial gains and losses. Current design yields an SQN of 8.9-9.2.

api-services icon api-services

NetApp OnCommand API Services provides a set of APIs to manage your NetApp systems through a RESTful web service interface. This repository provides you with sample codes to address some of the storage management workflows.

aws-iam-access-key-auto-rotation icon aws-iam-access-key-auto-rotation

This set of CloudFormation templates and Python scripts will set up an auto-rotation function that will automatically rotate your AWS IAM User Access Keys every 90 days.

cert-operator icon cert-operator

An OpenShift controller using the Operator SDK for managing TLS certficate lifecycle

cissp-mind-map icon cissp-mind-map

CISSP mind map, 8 domains, 2020 edition, OSG/AIO eighth edition, 8th

company-rating-indicator icon company-rating-indicator

Gives a buy rating to user entered stocks based on recent data. Written in python, uses the Kivy framework for GUI, and MYSQL for database management, and yfinance api for some data collection.

finance icon finance

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

getmetrics icon getmetrics

The lambda function to get CloudWatch metrics, convert to csv file, and upload to S3.

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