Deep dive into academic market microstructure models for professional crypto traders
RESEARCH DATA DISCLAIMER: This platform provides academic-level market analysis for informational purposes only. Not financial advice. For professional spot traders with portfolios $100K+.
VPIN was developed by Easley, López de Prado, and O'Hara, published in the Journal of Portfolio Management (2012). It measures the probability that informed traders (institutions, insiders, "smart money") are actively trading a particular asset.
Key Insights:
Academic Citation: Easley, D., López de Prado, M., & O'Hara, M. (2012). "Flow Toxicity and Liquidity in a High-Frequency World." Review of Financial Studies, 25(5), 1457-1493.
Markov Chains, developed by Russian mathematician A.A. Markov in 1907, model state transitions based on historical probabilities. In our application:
We track three states:
Combined with VPIN levels, we calculate transition probabilities: "Given the current state, what's the probability of transitioning to each other state?"
Trading Application: A 75% reversal probability on a FALLING state means historically, prices bounced up 75% of the time from similar conditions — data-driven reversal timing rather than guessing.
Kyle's Lambda (λ) comes from Albert Kyle's seminal 1985 paper "Continuous Auctions and Insider Trading" in Econometrica. It measures price impact per unit of order flow.
What Lambda Tells You:
Academic Citation: Kyle, A. S. (1985). "Continuous Auctions and Insider Trading." Econometrica, 53(6), 1315-1335.
Order Flow Imbalance measures the net buying vs selling pressure from actual orders hitting the order book.
Formula: OFI = (Buy Volume - Sell Volume) / Total Volume
Trading Applications:
Amihud Illiquidity Ratio, from Yakov Amihud's 2002 paper in the Journal of Financial Markets, measures absolute price change per dollar of volume.
Why This Matters for Large Portfolios:
Academic Citation: Amihud, Y. (2002). "Illiquidity and Stock Returns: Cross-Section and Time-Series Effects." Journal of Financial Markets, 5(1), 31-56.
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TradingView indicators (RSI, MACD, Bollinger Bands) are lagging indicators — they react to price after it moves.
Our models are leading indicators from market microstructure research:
No. BRAINMOON Research provides academic-level market analysis for informational and educational purposes only.
Our BUY signals combine multiple academic models into a unified recommendation:
Signal Components:
We track every signal: Live P&L, max profit reached, max loss reached — so you can evaluate accuracy before subscribing.
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BRAINMOON Research is designed for:
This is NOT for: Beginners, small accounts, or anyone seeking "get rich quick" signals. This is research data for serious traders.