Newsroom
Trend Quality Supports Skyline Bankshares, Inc. (SLBK)'s Technical Rank to A
By KlickAnalytics Data Insights | October 2, 2026 07:52PM ET
Skyline Bankshares, Inc. (SLBK) grades A (91/100) on KlickAnalytics' six-factor Technical Composite Ranking, as the setup is strengthening.
| # | Symbol | Score | Grade | Momo | Trend | RSI | Vol | ATH | RS |
|---|---|---|---|---|---|---|---|---|---|
| 1 | SLBK | 91.3 | A | 93 | 98 | 85 | 97 | 97 | 79 |
Trend Quality leads the composite at 98/100; Relative Strength lags at 79/100.
At $28.3500, Skyline Bankshares sits about 2.1% below its record high of $28.9700. The stock is trading above its 20-day moving average, above its 50-day, and above its 200-day — signaling bullish trend conditions.
On a trailing basis, returns are positive — +5.0% over one month, +8.2% over three months, +30.3% over six months, +71.3% over one year.
RSI-14 sits at 61 (bullish); volume has been stronger at a 1.78x ratio (up/down —x).
Net-net, the setup is strong; the swing factor from here is Relative Strength, namely whether the stock can start outperforming the broader market.
KlickAnalytics' Technical Rank scores stocks from 0 to 100, with grades ranging from A+ to F, combining six drivers: momentum, trend quality, relative strength, RSI, volume and distance from high. It measures technical setup only, not fundamentals.
This measures characteristics, not prospects — and it is not advice.
Run it yourself in the KlickAnalytics CLI: ka technical-rank -s SLBK
Explore more on KlickAnalytics: Overview · Technicals · Seasonality · Chart
Ask the market a question. Get a calculated answer.
The AI is not a chatbot bolted onto a document store. It calls the same analytics engine that powers every screen on this platform — so what comes back is a number it computed from raw history, with the command that produced it.
86,000+ instruments
Global equities, ETFs, funds, options, FX, commodities, crypto, economics, filings, transcripts and news — one normalised symbol universe with adjusted history.
A real analytics engine
Screening, backtesting, technicals, options analytics, correlations, seasonality and factor models — computed on demand from raw prices, never a stale cache.
It shows its working
Answers arrive with the charts, tables and tool calls behind them, so you can check the number instead of trusting a paraphrase.
Your own documents
Upload filings, decks and research. Ask across them and the answer cites the page it came from.
Agents and workflows
Multi-step research that runs the platform's tools for you — screen, pull the history, compute, compare, then write it up.
MCP, CLI and API
The same command catalogue from Claude, your own agent, a shell or your pipeline. The answer on screen is the answer your job gets at 4am.
You ask
“How does NVDA usually trade through earnings?”
It calls
→ ka.options_expected_move(NVDA)
It answers
NVDA has averaged a 9.2% absolute move on the day after earnings and closed higher 67% of the time. Two in three reactions land between −4.2% and +16.3% — the distribution is skewed right, not symmetric.
Every figure computed live from our own history — not scraped, not summarised.
Or start with