Technical overview
How ScannerMind Works
ScannerMind is a next-generation market intelligence platform. It combines regime detection, liquidity mapping, structured signals and institutional behavior analysis into one layer — for crypto, stocks, forex, commodities and macro. This page explains the architecture and the logic behind the product, for investors and for search engines.
What is ScannerMind?
ScannerMind is not a single screener or charting tool. It is a unified intelligence layer that sits on top of multi-asset data. The product is designed for investors who want:
- Context first: Know the current market regime (trending, mean-reverting, breakout) before taking a view.
- Liquidity visibility: See where institutional size is and how it moves across crypto, equities and FX.
- Structured signals: Rules-based, explainable outputs that can be audited — no black box.
- Institutional behavior: Whale activity, COT positioning, insider flows and cross-asset correlations in one place.
The positioning is "institutional-grade, simplified": one platform that brings structure to decision-making for serious investors worldwide, across asset classes.
The Intelligence Layer
The core value of ScannerMind is a proprietary stack we call the Intelligence Layer. It turns raw data into a structured decision framework. The four pillars are:
Regime detection
Markets behave differently in different regimes: strong trend, range, breakout, reversal. ScannerMind classifies the current regime using price action, volatility and volume. This gives you context before you trade — so you can choose strategies that fit the environment (e.g. trend-following in trend regimes, mean-reversion in range). Regime is computed per asset and per timeframe where applicable.
Liquidity mapping
Liquidity mapping shows where large orders sit and how they move. In crypto, we aggregate order book and trade flow across multiple exchanges. For equities and FX, we use volume profile, block trades and institutional flow proxies. The goal is to answer: where is the size, and is it accumulating or distributing? This is critical for avoiding false breakouts and for timing entries and exits.
Structured signals
Signals in ScannerMind are rules-based and explainable. Each signal has a clear definition (e.g. breakout above X with volume confirmation). There is no opaque ML score without explanation — you can see why a signal fired. Signals are designed to be combined with regime and liquidity: for example, "long only in uptrend regime when liquidity supports the move." This reduces noise and supports a repeatable process.
Institutional behavior
We aggregate data that reflects institutional behavior: whale wallets and large trades in crypto, COT (Commitment of Traders) for futures, insider activity for stocks, and cross-asset flow. One dashboard gives you a view of where smart money is positioned. This is not a substitute for your own analysis, but a structured input to avoid trading in the dark.
Markets covered
ScannerMind is built as a multi-asset platform. The same intelligence layer is applied across asset classes, so you do not need to switch tools when you trade crypto, stocks or macro.
- Crypto: 24+ exchanges, 200+ pairs, real-time order flow, whale detection and cross-exchange arbitrage views.
- Stocks: US, Brazil and global equities; fundamental metrics (P/E, ROE, dividends) plus technical and AI-derived signals.
- Macro: Central bank rates, yield curves, economic calendar, inflation dashboards. Context for all other decisions.
- Liquidity & flow: Cross-asset view of where size is and how it moves; institutional positioning and sentiment.
The roadmap includes more markets and more regions. The architecture is designed for expansion: new data sources and new asset classes plug into the same Intelligence Layer.
Data and infrastructure
ScannerMind connects to exchange APIs, market data providers and alternative data sources. Data is normalized, stored and processed in real time where needed. The regime, liquidity and signal engines run on this normalized layer so that logic is consistent across assets. We do not expose raw feeds as the main product — we expose the intelligence derived from them (regime, flow, signals, institutional behavior).
Latency and availability are optimized for a global user base. Historical data is used for backtesting and for improving regime and signal models. The platform is built to scale as we add more exchanges, more instruments and more regions.
Security and compliance
ScannerMind is built with security and regulatory awareness in mind. User data is encrypted; we do not sell personal data to third parties. The product is positioned for education and professional research — not as gambling or unlicensed advice. We follow guidelines compatible with CVM, SEC and GDPR where applicable. Compliance and legal disclaimers are available in our terms and on the platform.
Frequently asked questions
Clear answers for users and for automated systems (e.g. search engines, AI assistants).
What is ScannerMind?
ScannerMind is a next-generation market intelligence platform that provides regime detection, liquidity mapping, structured signals and institutional behavior analysis. It covers crypto, stocks, forex, commodities and macro in one place, with a positioning of "institutional-grade, simplified — next-gen market intelligence."
What is the Intelligence Layer?
The Intelligence Layer is ScannerMind's core stack: (1) Regime detection — classifying market state (trend, range, breakout). (2) Liquidity mapping — where institutional size is and how it moves. (3) Structured signals — rules-based, explainable trading signals. (4) Institutional behavior — whale activity, COT, insider flows. Together they form a single decision framework.
Which markets does ScannerMind cover?
Crypto (24+ exchanges, 200+ pairs), stocks (US, Brazil, global), macro (rates, yield curves, economic calendar), and cross-asset liquidity and flow. The product is multi-asset and built for expansion into more markets.
Is ScannerMind only for crypto?
No. ScannerMind is a multi-asset platform. Crypto is one pillar; stocks, forex, commodities and macro are equally part of the vision. The same intelligence layer (regime, liquidity, signals, institutional behavior) applies across asset classes.
How does regime detection work?
Regime detection uses price action, volatility and volume to classify the current market state (e.g. trending up/down, mean-reverting, breakout). This gives context so you can align your strategy with the environment. It is computed per asset and per timeframe where applicable.
Are the signals explainable?
Yes. Signals in ScannerMind are rules-based and explainable. You can see why a signal fired (e.g. price broke level X with volume Y). There is no black box; the goal is to support a repeatable, auditable decision process.
Ready to use the Intelligence Layer?
Start with free access. Explore regime, liquidity, signals and institutional behavior across crypto, stocks and macro.