tejaslinge
Lead Quant Developer @ New Berry Capital 📊📈 | Forever Learner | Explorer
New Berry CapitalMumbai
Pinned Repositories
Alpaca-Pairs-Trading-Bot
Pairs Trading Bot for NYSE built using Alpaca API & Python
Alpaca-ROC-Trading-Bot
Trading Bot using Alpaca API in Python. Indicators used: ROC (Rate of Change)
Alpaca-StochRSI-EMA-Trading-Bot
Trading Bot built using the Alpaca API in Python. Indicators used for Signal Generation: EMA, StochRSI, and Stochastic Oscillator
CRUD-REST-API-Boilerplate
CRUD REST API using Node.js, Express.js and Mongoose.
FIFA20-Analysis
Web App for Statistical Analysis of Teams and Players in FIFA-20 using Numpy, Pandas, Seaborn, Plotly and Streamlit.
Google-Maps-Places-Scraper
A standalone app to scrape places from Google Maps (example: Pizza Places in New York)
Marketing-Analysis
This project demonstrates how to perform EDA on marketing campaign data and make future marketing performance predictions
Risk-Management-and-Markowitz-Efficient-Frontier
Markowitz Efficient Frontier and volatility measures in Python
Stock-Price-Prediction-using-LSTM-and-Technical-Indicators
In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), and Bollinger Bands to predict the price of Bank Nifty.
Technical-Analysis-using-Python
Technical analysis and back-testing in Python
tejaslinge's Repositories
tejaslinge/Alpaca-ROC-Trading-Bot
Trading Bot using Alpaca API in Python. Indicators used: ROC (Rate of Change)
tejaslinge/Stock-Price-Prediction-using-LSTM-and-Technical-Indicators
In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), and Bollinger Bands to predict the price of Bank Nifty.
tejaslinge/Alpaca-StochRSI-EMA-Trading-Bot
Trading Bot built using the Alpaca API in Python. Indicators used for Signal Generation: EMA, StochRSI, and Stochastic Oscillator
tejaslinge/Technical-Analysis-using-Python
Technical analysis and back-testing in Python
tejaslinge/Risk-Management-and-Markowitz-Efficient-Frontier
Markowitz Efficient Frontier and volatility measures in Python
tejaslinge/Google-Maps-Places-Scraper
A standalone app to scrape places from Google Maps (example: Pizza Places in New York)
tejaslinge/Alpaca-Pairs-Trading-Bot
Pairs Trading Bot for NYSE built using Alpaca API & Python
tejaslinge/FIFA20-Analysis
Web App for Statistical Analysis of Teams and Players in FIFA-20 using Numpy, Pandas, Seaborn, Plotly and Streamlit.
tejaslinge/Marketing-Analysis
This project demonstrates how to perform EDA on marketing campaign data and make future marketing performance predictions
tejaslinge/CRUD-REST-API-Boilerplate
CRUD REST API using Node.js, Express.js and Mongoose.
tejaslinge/Page-Rank-Algorithm
Simple Python Search Spider, Page Ranker, and Visualizer. This is a set of programs that emulate some of the functions of a search engine. They store their data in a SQLITE3 database named 'spider.sqlite'. This file can be removed at any time to restart the process.
tejaslinge/pycryptobot
Python Crypto Bot
tejaslinge/Quant-Finance-Resources
Courses, Articles and many more which can help beginners or professionals.
tejaslinge/QuickDaw-Recognizer
QuickDraw! is an online game that challenges players to draw a picture of an object or idea and then uses a neural network (NN) artificial intelligence to guess what the drawings represent. The AI learns from each drawing, increasing its ability to guess correctly in the future.
tejaslinge/Rock-Paper-Scissors
A simple game of rock, paper and scissors.
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