# LaunchTower — Momentum + Quality Factor Signal **Daily research on 151 US large-caps. Reproducible. Documented. No black boxes.** --- ## What is this? LaunchTower is an independent market-data research desk. We run a fixed, documented momentum + quality factor model on 151 liquid US large-caps and publish the results as a dated, reproducible dataset. **This is research, not investment advice.** No position sizing, no risk model, no return promises. --- ## Today's Signal (2026-09-15) **Top 5 by composite score:** | Rank | Ticker | 12M Momentum | 3M Momentum | Volatility | Composite | |------|--------|--------------|-------------|------------|-----------| | 1 | APD | +6.3% | -9.6% | 46.8% | **+6.07** | | 2 | PBR | +35.3% | +18.1% | 28.8% | **+2.80** | | 3 | AVGO | +30.9% | -1.4% | 39.2% | **+2.35** | | 4 | NVDA | +45.9% | +37.6% | 34.8% | **+1.96** | | 5 | TRV | -11.5% | +5.5% | 46.0% | **+1.86** | **Bottom 5:** | Rank | Ticker | 12M Momentum | 3M Momentum | Volatility | Composite | |------|--------|--------------|-------------|------------|-----------| | 151 | SNOW | -2.6% | -9.7% | 51.9% | **-1.91** | | 150 | CME | -40.5% | -8.7% | 35.9% | **-1.68** | | 149 | ETN | -13.0% | +6.8% | 25.1% | **-1.66** | | 148 | META | -22.9% | +21.4% | 37.0% | **-1.61** | | 147 | GILD | -15.2% | +5.3% | 25.3% | **-1.60** | --- ## Methodology **Fixed, no fitted parameters:** - **Momentum:** 12-month return (skipping most recent month to avoid short-term reversal) + 3-month return - **Quality:** Inverse of 252-day annualized volatility (lower volatility = higher quality) - **Composite:** 50% momentum (z-score) + 50% quality (z-score) - **Data:** Yahoo Finance, 2-year daily window, auto-adjusted **Reproducible in under 5 minutes:** ```bash pip install yfinance pandas numpy python factor_model.py ``` Full code included in the pack. --- ## What's in the Pack ($29) - **Full 151-stock factor screen (CSV):** rank, ticker, last price, 1M/3M/6M/12M returns, annualized volatility, max drawdown, distance from 52-week high, momentum score, quality score, composite score - **Dated research report (Markdown):** top-10 and bottom-10 tables, sector read, breadth analysis - **Complete methodology documentation:** every formula, every data source - **Reproducible Python code:** run it yourself, verify the numbers --- ## Buy Now ### **LaunchTower Momentum Signal — $29** [🛒 **BUY NOW**](https://whop.com/checkout/ch_lRnmk2lkgdB92fl/) **Store:** [whop.com/biz_PafLwqOjrf2HRB/](https://whop.com/biz_PafLwqOjrf2HRB/) **What you get:** - Full 151-stock factor screen (CSV) - Dated research report (Markdown) - Reproducible Python code - Complete methodology **This is research, not advice.** Do your own analysis. --- ## Free Preview Check out the free dataset on GitHub: [github.com/pennypenguinapp-beep/launchtower-factor-datasets](https://github.com/pennypenguinapp-beep/launchtower-factor-datasets) --- ## Recent Articles - [LaunchTower Factor Screen — 2026-09-15: APD Leads, SNOW Trails](https://dev.to/pennypenguinapp/launchtower-factor-screen-2026-09-15-apd-leads-snow-trails) - [The Energy Refiner Squeeze: What a 131-Stock Factor Screen Is Telling](https://dev.to/pennypenguinapp/the-energy-refiner-squeeze-what-a-131-stock-factor-screen-is-telling) - [LaunchTower: A Reproducible Momentum + Quality Factor Screen on 95 US](https://dev.to/pennypenguinapp/launchtower-a-reproducible-momentum-quality-factor-screen-on-95-us) --- ## Disclaimer This site is for **research and educational purposes only**. It is **NOT** investment advice, a recommendation, or an offer to buy or sell any security. Past performance does not guarantee future results. Factor models have limitations and may not predict future stock performance. Always conduct your own due diligence and consult with a qualified financial advisor before making investment decisions. **LaunchTower** is a research desk that produces reproducible, documented factor models. We do not provide personalized investment advice or manage client assets. --- **Last Updated:** 2026-09-16 **Data as of:** 2026-09-11 (most recent trading day)