The bot is ideal for traders looking to reduce the amount of time spent on researching and analyzing the markets, as it can quickly scan for and identify the most profitable trades.

A quantitative backtest framework comparing 5 strategies (BuyHold QQQ / Timing QQQ / Timing QLD / Timing TQQQ / Combo 60-30-10) using QQQ SMA200 as market regime signal with dip-based DCA entry. 基于QQQ SMA200牛熊择时，对比五种策略（买入持有/QQQ择时/QLD择时/TQQQ择时/60-30-10混合组合）的量化回测框架，支持分批回调建仓。

QQQ 0DTE research framework with Theta realistic and no-Theta demo modes.

Codex Skill for a SPY SMA200 + VIX tiered QQQ/TQQQ allocation monitor with daily Chinese signal reports.

Daily updated Equity Put/Call Ratio vs QQQ

Backtest framework for a QQQ LEAPS Call infinite-roll strategy. Buys gap-down entries, harvests at target delta, force-rolls at 300 DTE. Supports BSM & Merton Jump-Diffusion pricing, real QQQ CSV data, delta sensitivity sweep, and full bilingual trade reports.

Active share decomposition of QQQ vs SPY across 108 months (2016-2025): avg active share 62.88%, Brinson attribution with within-sector and sector-level components. VCU FIRE 691.

How stocks performed in their first year after being removed from the Nasdaq-100 — a self-contained dashboard and per-stock deep-dives benchmarked against QQQ.

Raspberry Pi Market Dashboard — A fullscreen, dark-themed Python dashboard for Raspberry Pi 5 that tracks SPY, DIA, and QQQ in real time using the free Finnhub API. Runs during U.S. market hours, shows intraday trends and previous-close lines, and saves daily data to CSV.

Target allocation for portfolio consisting of top 10 constituents of QQQ

Research-grade QQQ signal pipeline with no-lookahead backtesting, transaction-cost modeling, sensitivity checks, and regime analysis.