We filter the noise so you don't have to.
We track 400+ financial influencers and executives, paper-trade every prediction, and analyze their voice on earnings calls, so wealth managers and small hedge funds know exactly who to trust before they trade.
When Jim Cramer says buy, or a CFO says "guidance unchanged", do you believe them?
You shouldn't have to guess.
Trusting the wrong source costs you returns. Verifying every call costs you time.
We track who's trustworthy so you don't have to.
We monitor 400+ influencers and executives across CNBC, Twitter, podcasts, and earnings calls. Paper trade every prediction. Analyze voice stress when executives speak. Cross-check statements against SEC filings.
Result: You know exactly who to trust before you trade.
Our terminal shows ranked influencers by verified performance, with drill-downs for every call, clip, and earnings quote.
One click opens the original source and our paper-trade track record for that speaker.
Wealth Managers use FMFB Research to cut research noise, focus on proven voices, and add incremental alpha without hiring a full quant team.
Results our clients see: Clients typically save over 8 hours per week of research time and generate about 4% additional alpha by sizing up when trusted voices speak, and fading the consistently wrong ones.
Voice stress detection to flag evasion or overconfidence when executives speak
Linguistic analysis to detect question-dodging and scripted non-answers
SEC filing cross-validation to spot contradictions between calls and 10-K/10-Q language
Speaker diarization to track individual executives and analysts across quarters
Research shows companies with 3+ evasive responses underperform by 6% over 90 days.
Voice biometrics and speech emotion recognition: Most platforms stop at text sentiment. We analyze tone, hesitation, and stress on earnings calls to highlight answers that deserve a second look.
SEC filing discrepancy detection: We cross-check call commentary against SEC filings to surface quiet walk-backs and contradictions that text-only tools miss.
Individual accountability across platforms: One profile per voice, regardless of channel, whether it be it CNBC hit, podcast clip, Twitter thread, and earnings-call quote, so you know who is consistently right before you lean on their conviction.
Built for small funds, not $100K contracts: Institutional-grade intelligence tailored for wealth managers and 1-10 person hedge funds that want data, not a six-figure terminal.
"I wanted to reclaim time in my research to enjoy more time on the golf course. After FMFB-Research transformed my screening and qualification process into an automated system, I was thrilled to discover that my work time was cut by half. This change enables me to spend time playing the game I love."
"Our experience with the system has been transformative. It effectively analyzes investor calls, conducting complex language analysis that truly gives us the edge we need in a competitive market."
Andy Winskill, Founder and CEO
Andy built FMFB Research after seeing wealth managers repeatedly make decisions based on voices they couldn't verify.
With 20 years in technology at Microsoft and IBM, he knew the tools existed to solve this. Voice stress detection. Linguistic analysis. Cross-platform tracking. Paper trading verification.
Nobody was using them to track who's trustworthy in financial media.
So he built it. FMFB Research now tracks over 444 video influencers, 36 Twitter traders, and 200+ earnings calls per quarter. Clients save 8 hours per week and know exactly who to trust.
