os2SentraQ✦✦Market Sense AI

How It Works

Effective date: 2026-05-04

This page summarizes how os2SentraQ organizes data and how to read each dashboard area.

Project overview

os2SentraQ combines market, on-chain flow and news signals to generate local and macro sentiment reads for each supported crypto asset. The dashboard operates in two modes: an overview with macro-level indicators (dominance gauges, AI-generated macro pulse, crypto token snapshots, traditional markets and the macro calendar), and a per-token detail view with AI-driven analysis, flow intelligence, derivatives signals and confidence history. The goal is to support context reading, not replace your own analysis or recommend trades.

Listed assets

The following assets are currently supported.

AssetTickerAccess
BitcoinBTCPublic
EthereumETHPublic
SolanaSOLSign in required
PAX GoldPAXGSign in required
BittensorTAOSign in required
Fetch.aiFETSign in required
NEAR ProtocolNEARSign in required
TRONTRXSign in required
RenderRENDERSign in required
ChainlinkLINKSign in required
ZerobaseZBTSign in required
CardanoADASign in required
BNBBNBSign in required
XRPXRPSign in required
AvalancheAVAXSign in required
SuiSUISign in required
ToncoinTONSign in required
Pudgy PenguinsPENGUSign in required
DogecoinDOGESign in required

The asset list may change without prior notice. Additions and removals are reflected in the token selector immediately.

Area-by-area summary

  • Header: shows the project version and the current Fear & Greed reading for a quick risk-appetite snapshot, plus the notification bell with full alert history (TBO and Flow Inversion alerts with AI narrative and conviction tag).
  • Token selector: opens a search modal to pick any supported asset and switch between overview and per-token detail mode.

Overview (no token selected)

  • Dominance & Sentiment gauges: three radial gauges showing BTC Dominance, Stablecoin Dominance and Fear & Greed side by side — a one-glance read on capital rotation and risk appetite.
  • Macro Market Pulse: AI-generated cross-asset report covering traditional markets (equities, DXY, commodities). Includes a market bias tag (bullish / bearish / mixed), a confidence score, a narrative summary and highlighted key drivers. Updates hourly.
  • Crypto Tokens: quick-glance panel showing current price snapshots and key metrics for all supported premium tokens.
  • Traditional Markets: tracks key equity indices, precious metals and commodities (via Finnhub live data) alongside major stocks for cross-asset context.
  • Market Calendar: lists upcoming macro events (FOMC, CPI, NFP, ECB and others) with AI-assessed expected volatility impact on crypto, so you can prepare for scheduled risk events in advance.

Per-token detail view (token selected)

  • Price header: spot price, 24h high and low for the selected asset.
  • AI Analysis (main card): consolidated sentiment (bullish / bearish / neutral), confidence level and high-level text rationale. Also shows two structural badges — local regime (local bottom / local top / local mid) and daily state (oversold proxy / overbought proxy / daily neutral) — for additional macro context.
  • 24h Price: intraday price chart for short-term context.
  • Heat View (Volume and Liquidity): summarizes recent flow signals including POC (point of control), CVD (cumulative volume delta), dominant aggressor side, book imbalance level and price/CVD divergence — signalling continuation or loss of strength.
  • Institutional Radars: aggregates derivatives-grade signals — max pain level (Deribit options), order-book imbalance and liquidation cluster heatmap.
  • Long / Short Ratio: visualises the current dominant positioning bias and identifies tactical excess on either side.
  • Market Radar (Derivatives and Sentiment): aggregates funding rate, open interest and Fear & Greed to reinforce or challenge the main read.
  • Confidence History: shows temporal evolution via a signed-bias line chart (positive = bullish confidence, negative = bearish) plus a detailed table of recent analyses to compare regime changes.

How to use card data

  1. Start with Current Analysis to understand base direction (bullish, bearish or neutral) and check the local regime and daily state badges for broader structural context.
  2. Confirm in Heat View and Market Radar whether short and medium-term signals are aligned.
  3. Use Long/Short, Funding and institutional signals to measure saturation or squeeze risk.
  4. Check the Confidence History chart and table to avoid decisions based on a single datapoint.
  5. Use the dashboard as context support, not as an automatic entry/exit trigger.

Analysis legend

Sentiment

  • ↑ BULLISH

    CVD buyers-dominated + positive funding, or strong buy taker flow + supportive news.

  • ↓ BEARISH

    CVD sellers-dominated + negative/extreme funding, or strong sell taker flow + bearish news.

  • → NEUTRAL

    Mixed signals, low CVD imbalance, no clear taker dominance.

Confidence

  • 40–65% — mixed or weak signals.
  • 65–80% — 2+ primary drivers aligned.
  • 80–95% — 3+ primary drivers strongly aligned with news.

Local Regime badge

  • Local Bottom — price in a locally depressed zone.
  • Local Top — price in a locally extended zone.
  • Local Mid — price in a neutral local range.

Daily State badge

  • Oversold (proxy) — macro daily context suggests potential exhaustion to the downside.
  • Overbought (proxy) — macro daily context suggests potential exhaustion to the upside.
  • Daily Neutral — no macro extreme detected.

Note: these badges describe the daily background state only, not short-term direction.

Alert signals (Telegram)

Signals are computed on 1h and 1d candles using a composite indicator engine. 1h signals fire at most once per 6 hours per asset; 1d signals at most once per 24 hours.

  • ▼ RSI Oversold

    RSI (14) < 30 and price at or below the lower Bollinger Band (20, 2σ). Potential exhaustion to the downside.

  • ▲ RSI Overbought

    RSI (14) > 70 and price at or above the upper Bollinger Band. Potential exhaustion to the upside.

  • △ Breakout ↑

    Price crossed above EMA 200 by ≥ 0.5% with ADX > 20 confirming trend strength.

  • ▽ Breakdown ↓

    Price crossed below EMA 200 by ≥ 0.5% with ADX > 20 confirming trend strength.

  • ★ ST Flip ↑

    Supertrend (7, 3) flipped from bearish to bullish — regime change signal. On 1h requires ADX > 25 to confirm a trending market.

  • ★ ST Flip ↓

    Supertrend (7, 3) flipped from bullish to bearish — regime change signal. On 1h requires ADX > 25 to confirm a trending market.

  • ✕ Golden Cross

    SMA 50 crossed above SMA 200 — classic long-term bullish structure shift. Daily timeframe only.

  • ✕ Death Cross

    SMA 50 crossed below SMA 200 — classic long-term bearish structure shift. Daily timeframe only.

  • ■ StochRSI Overbought

    StochRSI K and D both above 90 — fires on fresh entry into the extreme zone only, not repeated while momentum stays elevated.

  • □ StochRSI Oversold

    StochRSI K and D both below 10 — fires on fresh entry into the extreme zone only, not repeated while momentum stays depressed.

All alert signals are informational only and do not constitute trade recommendations. Signals fire on 1h and 1d candle closes and may lag real-time price action.

Data sources

All market data is fetched live from the following providers. No third-party data brokers or aggregators are used.

  • Deribit— options max pain level.
  • Alternative.me— Crypto Fear & Greed index.
  • Binance Spot— fallback price and klines for assets without a perpetual futures market.
  • Binance Futures— price, 24h high/low, funding rate, open interest, long/short ratio, CVD, order book, liquidation clusters, 24h klines.
  • Finnhub— live quotes for equity indices (S&P 500, Nasdaq 100, Dow Jones) and commodities (Gold, Silver, Copper, Platinum, Palladium).

Project Roadmap

Planned additions in rough priority order. Dates are not committed — items ship when they're ready and well-tested.

Phase 1 — Broader Coverage

  • More listed tokens. Expand the supported token list with additional high-liquidity assets and select emerging-cap tokens based on user demand and data availability.
  • Sector grouping. Organise tokens by narrative cluster (L1s, AI, DeFi, memes) to make cross-asset context faster to read.

Have a feature suggestion? Reach out via the feedback channel in the dashboard footer.

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