Marcus Reid
Marcus leads research at Nebula, where he studies how financial social intelligence — sentiment, emotion, narrative attention, and forecasting markets — translates into market behavior. He focuses on turning noisy public conversation across X, Reddit, YouTube and news into structured, measurable signals for stock and digital-asset researchers.
Focus areas: Stock market sentiment · AI stock and private-market sentiment · Commodity and index sentiment · Prediction markets · Crypto sentiment analysis · Mindshare and narrative tracking · Fear & Greed indexes · Social intelligence methodology
The Best Stock News Sources: A Research Stack
Build a reliable stock news stack with SEC filings, investor relations, official data, trusted reporting, market context, and social intelligence.
Read articleHow to Use Social Sentiment for Stock Research
A step-by-step workflow for turning stock social sentiment into research: detect attention, verify catalysts, compare price, and avoid crowd-driven mistakes.
Read articleMeasuring Market Sentiment
A practical guide to stock market sentiment: how it is measured, how social sentiment differs from market indicators, and how to use it responsibly.
Read articlePrediction Markets Explained
Learn how prediction markets work, why contract prices imply probabilities, how markets settle, what research says about accuracy, and the key risks.
Read articleThe Stock Sentiment Stack for 2026
A current comparison of Nebula, Stocktwits, Quiver Quantitative, MarketPsych, and LunarCrush for stock sentiment, social attention, and research.
Read articleFinancial Market Intelligence Use Cases
Eight practical financial market intelligence use cases for stock screening, sentiment, narratives, risk monitoring, APIs, and AI research agents.
Read articleHow to Track Stock Mindshare
Learn how to measure stock mindshare, compare attention fairly, identify narrative shifts, and avoid confusing social interest with business performance.
Read articleHow to Analyse Stock Sentiment Around Earnings
A practical earnings sentiment analysis workflow covering expectations, filings, earnings calls, investor reactions, mindshare, and narrative persistence.
Read articleHow to Track Market Narratives
Learn how to track stock market narratives by defining testable claims, mapping propagation, verifying sources, and measuring attention and sentiment.
Read articleAlternative Data for Stock Research
A practical guide to alternative data for stock research, covering social intelligence, source diligence, bias, validation, compliance, and data lineage.
Read articleHow to Use Social Momentum in Stock Research
Learn how to use stock social momentum to detect unusual activity, verify catalysts, design alerts, and combine attention with sentiment and mindshare.
Read articleBest Crypto Fear & Greed Index Tools in 2026
The best crypto Fear & Greed Index tools compared: Nebula, Alternative.me, CoinMarketCap, CFGI and CoinStats, with honest pros, cons and methodology.
Read articleBest Crypto Mindshare Tools in 2026
A fair roundup of the best crypto mindshare tools in 2026: Nebula, Kaito, and Cookie.fun compared, with honest pros and cons and why attention needs sentiment.
Read articleKaito Yaps Discontinued: What Changed and the Alternatives
Kaito Yaps discontinued in January 2026 and folded into paid products. What changed, who it affects, and free alternatives for tracking crypto mindshare.
Read articleWhat Is a Crypto Fear & Greed Index?
A clear guide to what a crypto Fear & Greed Index is: the factors behind the 0-100 score, how to read Extreme Fear and Greed, and per-token indices.
Read articleWhat Is Crypto Mindshare?
What is crypto mindshare? A clear guide to mindshare as share of crypto conversation, how it is measured, why it leads price, and how to use it with sentiment.
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