NASDAQ100 stock with fairly or undervalue

Screening Filters

1. is_index_component: ['NDX'] (NASDAQ 100 membership)

   • Purpose: Restrict results to companies that are part of the NASDAQ 100 index.
   • Rationale:
     The user specifically asked for a stock from the NASDAQ 100, so this filter is essential. It excludes all other exchanges and indices, ensuring every result is a NASDAQ 100 constituent and directly relevant to the request.

2. pe_ttm: {'min': '8', 'max': '22'} (Price-to-Earnings, trailing 12 months)

   • Purpose: Find companies trading at a reasonable earnings multiple, avoiding both very expensive and suspiciously cheap outliers.
   • Rationale:
     • A maximum P/E of 22 helps avoid clearly overvalued names where price is very high relative to current earnings, which clashes with the idea of “fairly valued or undervalued.”
     • A minimum P/E of 8 avoids companies with ultra-low P/E that may reflect severe problems (earnings collapse risk, one‑off gains, or structural decline)—these can be “value traps” rather than genuinely undervalued.
     • The 8–22 band is a common range for what many analysts consider “reasonable” valuations for large, established companies, making it suitable for the “fair/fair‑to‑cheap” focus.

3. pb_ratio: {'max': '4'} (Price-to-Book ratio)

   • Purpose: Ensure the stock’s price is not excessively high relative to its net asset value.
   • Rationale:
     • A P/B cap of 4 removes firms where investors are paying many times over the company’s book value, which often signals aggressive growth expectations or overvaluation.
     • While P/B is less important for asset‑light tech companies, putting a ceiling still helps catch extreme overpricing, aligning with the idea of fair or potentially undervalued pricing.

4. ev_ebitda: {'max': '15'} (Enterprise Value to EBITDA)

   • Purpose: Cross‑check valuation using a cash-flow oriented multiple that’s less distorted by capital structure or accounting quirks.
   • Rationale:
     • EV/EBITDA is widely used for comparing companies across different leverage levels.
     • A maximum of 15 excludes highly expensive stocks on a cash‑flow basis, reinforcing the “fairly valued or undervalued” condition from another angle besides P/E and P/B.
     • Multiple valuation filters together reduce the chance that a stock looks cheap on one metric purely due to distortion in that particular metric.

5. analyst_consensus: ['Strong Buy', 'Moderate Buy', 'Hold']

   • Purpose: Filter out names where analysts broadly expect underperformance (“Sell” or equivalents).
   • Rationale:
     • Undervalued or fairly valued stocks often still have at least neutral sentiment from the analyst community.
     • Including Strong Buy, Moderate Buy, and Hold ensures that you’re not just getting “cheap for a reason” names that most analysts think will deteriorate.
     • At the same time, allowing “Hold” keeps the door open for potentially overlooked or out‑of‑favor but fundamentally sound companies that haven’t triggered a positive consensus yet—often where mispricing can exist.

Why Results Match the Request

• The index membership filter guarantees every candidate is from the NASDAQ 100, matching the index you specified.
• The valuation filters (P/E, P/B, EV/EBITDA) work together to identify stocks that are not clearly overvalued, and more likely to be fairly valued or undervalued on multiple standard metrics.
• The analyst consensus filter removes names that professionals widely view as poor prospects, increasing the likelihood that the “cheapness” (or fair price) reflects opportunity rather than structural problems.

Together, these filters narrow the NASDAQ 100 down to companies that are reasonably priced by several valuation measures and not broadly disliked by analysts, which aligns well with your goal of finding fairly valued or undervalued stocks within that index.