nasdaq100

Stock Scanner & Screener: A yfinance-based Stock Scanner and Screener, focusing on Fundamental Properties of scanned stocks.

An attempt to predict next day's stock price movements using sentiments in tweets with cashtags. Six different ML algorithms were deployed (LogReg, KNN, SVM etc.). Main libraries used: Pandas & Numpy

Analyze NASDAQ100 stock data. Used ARIMA + GARCH model and machine learning techniques Naive Bayes and Decision tree to determine if we go long or short for a given stock on a particular day

Dealer gamma exposure levels for any stock, ETF or index from public CBOE option chains. Gamma flip, call/put walls, 0DTE sublevels, expected-move bands. Own your levels.

This is our take on Portfolio Optimization with Reinforcement Learning using Q Learning.

NQ E-mini futures backtester — Opening Range Breakout retracement strategy, Python, 2021–2026

Various Crypto/US Stock Alerts

Quantitative research tool analyzing stock performance around US Thanksgiving. 354 stocks, 8,293 observations (2000-2024). Statistical significance testing included.

This project scrapes the list of NASDAQ-100 companies from the Wikipedia page and saves the data in CSV and JSON formats.

Multi-horizon NASDAQ-100 forecasting with Linear Regression, Random Forest, XGBoost, and LSTM — leak-free feature engineering, single-step and 7-day recursive forecasts, and an evaluation of technical indicators (RSI, ATR, Bollinger Bands, Momentum, MACD).

一个定投收益计算器，支持指数历史回测、多指数涨幅与回撤对比，零依赖、纯前端，可部署到 Cloudflare Workers。

Nasdaq-100 Social Sentiment Analysis AI System

Active Position Manager

每日自动追踪纳斯达克100与标普500场外基金的申购限额、申购状态与费率，解决 QDII 频繁限购下「今天到底能投多少」的问题

Passive index replication of the NASDAQ-100 using Mixed Integer Programming that selects an optimal 25-asset fund from 97 equities to maximise correlation-weighted similarity across rolling market regimes.

Portal to share my investment experience and strategies

Exploratory analysis of NASDAQ‑100 price trends using Python, moving averages, and volume data.

This project analyzes NQ Futures in response to CPI announcements

Streamlit dashboard + XGBoost model predicting analyst price-target upside/downside across NASDAQ-100 stocks, built on 19,781 historical ratings (2014–2025).

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