Screening Filters
RSI Category = “Overbought”
- Purpose: Find stocks that are in a similar technical regime as SKYQ (very strong upside momentum / potentially exhausted short term).
- Rationale:
- Your technical data shows SKYQ has an RSI_6 ≈ 94, which is deeply overbought.
- By restricting to “overbought” names, the screener is approximating “correlated behavior” in terms of recent price action: names that have also run very hard and are technically stretched like SKYQ.
- While this is not a statistical correlation coefficient, it captures a similar momentum profile.
1‑Month Price Change ≥ +50% (month_price_change_pct: {'min': '50'})
- Purpose: Isolate stocks that have had a large upside move recently, like SKYQ.
- Rationale:
- SKYQ’s chart and RSI indicate a sharp recent run-up.
- Requiring at least +50% over the last month focuses on parabolic / high‑momentum names, which tend to trade together (high beta, crowded momentum, similar flows).
- This is another way of approximating “correlated with SKYQ” through similar return pattern and speed of move.
Sector in Tech & Communication (sector: Software & IT Services, Technology, Technology Equipment, Telecommunications Services)
- Purpose: Keep results within growth / tech‑adjacent sectors that are more likely to move with similar macro and sentiment drivers as SKYQ.
- Rationale:
- Correlations are usually strongest within the same or closely related sectors because companies share business models, customer bases, and macro sensitivities.
- By limiting to Software, broader Technology, Tech Equipment, and Telecom Services, the screener looks for names that:
- React similarly to interest rates, risk-on / risk-off sentiment, and tech sector flows.
- Are typically higher growth, higher volatility – closer to SKYQ’s risk/return profile.
Exchange = XNYS, XNAS, XASE (list_exchange: NYSE, NASDAQ, AMEX)
- Purpose: Restrict to U.S.-listed, relatively liquid, mainstream stocks.
- Rationale:
- SKYQ trades on a major U.S. exchange; pulling from the same exchanges ensures:
- Similar trading hours and U.S. macro sensitivity.
- Better data quality and tradability, which matters for any practical use of “correlated” names (pairs trades, baskets, hedges, etc.).
Why These Filters Address Your Request
- You asked for “top 10 stocks correlated to SKYQ.”
- The screener does not currently support screening by a direct price correlation coefficient (e.g., 6‑month or 1‑year Pearson correlation vs. SKYQ).
- Instead, we approximate correlation using behavioral and structural similarities:
- Same macro/sector drivers → via sector filters.
- Similar recent performance and momentum regime → via RSI = overbought and ≥ +50% 1‑month performance.
- Same market venue and investor base → via U.S. major exchanges.
So while the results are not literally the top 10 by statistical correlation, they should surface stocks that are likely to trade in a similar way to SKYQ right now: high‑momentum, overbought, tech‑oriented names on major U.S. exchanges.
This list is generated based on data from one or more third party data providers. It is provided for informational purposes only by Intellectia.AI, and is not investment advice or a recommendation. Intellectia does not make any warranty or guarantee relating to the accuracy, timeliness or completeness of any third-party information, and the provision of this information does not constitute a recommendation.