SaadASTheDev
Founder/Developer of U-Earth, Participant of NEAR-Hack NYC., Participant of ZIO-Hacks Nyc
Brooklyn CollegeNew York City
Pinned Repositories
AI-Trading-Bot
An automated trading bot that utilizes a combination of Support Vector Machines (SVM) and Artificial Neural Networks (ANN) to predict stock prices and execute trades based on the predictions. The bot uses the Alpaca API for trading and Yahoo Finance for historical data.
Begining-python
ccxt
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
Moon-Trader
An automated trading system utilizing AWS Lambda, AWS Chalice, and TradingView Webhooks to execute trades based on custom alerts
MyFirst_Solidity_Smart_Contract
SaadASTheDev.github.io
ML Program Using PyTorch Tracking Potential Crop Loss from floods.
Transport_Data_Modeling
Python program using Google Transit data to predict overcrowding on NYC trains/buses. Analyzes ridership, capacity, and real-time counts to provide insights for commuters and transportation authorities. Optimize services, plan journeys, and alleviate overcrowding issues.
u-earth.js
SaadASTheDev's Repositories
SaadASTheDev/SaadASTheDev.github.io
ML Program Using PyTorch Tracking Potential Crop Loss from floods.
SaadASTheDev/AI-Trading-Bot
An automated trading bot that utilizes a combination of Support Vector Machines (SVM) and Artificial Neural Networks (ANN) to predict stock prices and execute trades based on the predictions. The bot uses the Alpaca API for trading and Yahoo Finance for historical data.
SaadASTheDev/Begining-python
SaadASTheDev/ccxt
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
SaadASTheDev/Moon-Trader
An automated trading system utilizing AWS Lambda, AWS Chalice, and TradingView Webhooks to execute trades based on custom alerts
SaadASTheDev/MyFirst_Solidity_Smart_Contract
SaadASTheDev/Transport_Data_Modeling
Python program using Google Transit data to predict overcrowding on NYC trains/buses. Analyzes ridership, capacity, and real-time counts to provide insights for commuters and transportation authorities. Optimize services, plan journeys, and alleviate overcrowding issues.
SaadASTheDev/u-earth.js