Newsroom
M&F Bancorp, Inc. (MFBP) Posts a 94/100 KA Momentum Score — a Very Strong Reading
By KlickAnalytics Data Insights | October 2, 2026 07:52PM ET
M&F Bancorp, Inc. (MFBP) carries a KlickAnalytics Momentum Score of 94/100 — a very strong reading as of 2026-10-01.
Across timeframes, returns read +3.0% (1M), +75.7% (3M), +122.6% (6M), +165.4% (1Y).
Versus its own history, those returns rank 1M 61st, 3M 96th, 6M 95th percentile — context for how unusual the current run is.
The backdrop: M&F Bancorp shows a bullish moving-average stack, a 14-day RSI of 71 (overbought).
Momentum is currently decelerating — the direction of the trend's energy, not just its level.
The trading implication: a very strong momentum score like this marks M&F Bancorp as a leader on price strength — a momentum read, not a valuation call.
The KA Momentum Score blends multi-period returns, percentile ranks, trend structure and oscillators into a single 0-100 reading, refreshed daily. It is a momentum measure, not a recommendation.
History rhymes more often than it repeats; read the above as context rather than prediction.
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