Asset Analysis
Deep-dive into any asset: screener, price performance, z-scores, and on-chain metrics.
Overview
The Asset Analysis module is the foundation of Thrive's intelligence stack. Every tracked asset on the platform has a dedicated detail page that consolidates price performance, statistical analysis, derivatives data, on-chain metrics, and social sentiment into a single view. The goal is to give you everything you need to form a thesis on any asset without leaving the page.
Asset pages are accessible from the sidebar under Assets, from the screener results table, from the command bar (Cmd+K then type a ticker), or from any clickable asset reference anywhere in the dashboard. Pro plans cover the top 20 assets by market cap. Pro+ and Founder plans cover all 100+ tracked assets.
Price Performance
The price performance panel sits at the top of every asset page and provides a multi-timeframe snapshot of price action. It is designed to answer the first question any trader asks: how has this asset performed recently, and where does it stand relative to its history?
Timeframe Returns
Returns are calculated across eight standard timeframes and displayed as color-coded percentage badges. Green indicates positive performance, red indicates negative, and the intensity of the color scales with magnitude.
| 1H | Hourly return. Useful for intraday momentum reads and scalping context. |
| 4H | Four-hour return. Aligns with the most popular trading timeframe in crypto derivatives. |
| 24H | Daily return. The benchmark timeframe for crypto performance comparison. |
| 7D | Weekly return. Captures swing-level momentum and mean reversion setups. |
| 14D | Bi-weekly return. Bridges the gap between weekly and monthly analysis. |
| 30D | Monthly return. Indicates the medium-term trend and is used in z-score calculations. |
| 90D | Quarterly return. Relevant for position traders and portfolio rebalancing cycles. |
| 1Y | Annual return. Contextualizes performance within the broader market cycle. |
Price Context Metrics
Below the timeframe returns, the panel displays contextual metrics that help you understand where the current price sits within broader structure: distance from all-time high, distance from all-time low, market capitalization, 24-hour trading volume, and fully diluted valuation. These metrics update in real time.
Relative performance
Z-Score Analysis
Z-scores measure how many standard deviations a current value is from its historical mean. A z-score of +2.0 means the metric is two standard deviations above its average, a statistically extreme reading that historically tends to revert. Thrive calculates z-scores across multiple dimensions for every tracked asset, giving you a quantitative framework for identifying extremes.
Z-Score Dimensions
Each asset page displays z-scores for the following metrics, calculated over a rolling lookback window. The default lookback is 90 days, but Pro+ users can configure this in the Workbench.
Measures how far the current price deviates from its mean. Extreme readings often precede reversals.
Identifies when perpetual funding rates are at statistical extremes. High positive z-scores indicate crowded longs.
Flags when open interest is unusually elevated or depleted relative to history.
Detects abnormal volume spikes or dryups that often precede directional moves.
A weighted aggregate of all individual z-scores, providing a single-number summary of statistical extremity.
Interpreting Z-Scores
| -3.0 or below | Extreme underextension. Historically rare. High probability of mean reversion upward. |
| -2.0 to -3.0 | Significant underextension. Conditions are stretched but could extend further in strong trends. |
| -1.0 to -2.0 | Mild underextension. Slightly below average but within normal range. |
| -1.0 to +1.0 | Normal range. No statistical edge in either direction. |
| +1.0 to +2.0 | Mild overextension. Slightly above average but within normal range. |
| +2.0 to +3.0 | Significant overextension. Conditions are stretched. Mean reversion risk is elevated. |
| +3.0 or above | Extreme overextension. Historically rare. High probability of mean reversion downward. |
Z-scores are not signals
Z-Score Heatmap
The screener includes a z-score heatmap view that color-codes every tracked asset by its composite z-score. Assets in deep blue are statistically underextended; assets in deep red are overextended. This view lets you scan the entire market for extremes in seconds. Click any cell to jump to that asset's detail page.
Asset Screener
The asset screener is a filterable, sortable table that lets you scan the full universe of tracked assets based on quantitative criteria. It is the primary tool for finding trade candidates and screening the market for setups that match your strategy.
Available Columns
The screener table displays a configurable set of columns. Click any column header to sort. Shift-click to add a secondary sort. The column set can be customized by clicking the column configuration icon in the table header.
Current price with percentage change, color-coded for direction.
Market capitalization and 24-hour trading volume for liquidity context.
Current perpetual funding rate across major exchanges. Color-coded by magnitude.
Total open interest in USD with 24-hour change percentage.
Composite and individual z-scores with color-coded intensity.
Active AI signal direction and confidence level for the asset.
Whether an active divergence is detected on the asset.
Whether the asset is on your watchlist. Click to toggle.
Filters
Filters let you narrow the screener to assets matching specific criteria. Multiple filters can be combined for precision screening. Filter presets can be saved and loaded for repeatable workflows.
| Price Change | Filter by percentage change over any supported timeframe (1H through 1Y). |
| Funding Rate | Filter by funding rate range. Useful for finding heavily long or short assets. |
| Open Interest Change | Filter by OI change percentage to find assets with rising or falling leverage. |
| Z-Score Range | Filter by composite or individual z-score thresholds. |
| Market Cap Tier | Filter by large-cap, mid-cap, or small-cap classification. |
| Volume Threshold | Set minimum 24H volume to exclude illiquid assets. |
| Signal Direction | Filter to show only assets with active long or short signals. |
| Divergence Active | Filter to show only assets with active divergences. |
Saved filter presets
On-Chain Metrics
Each asset page includes an on-chain metrics section powered by Nansen and proprietary aggregation pipelines. On-chain data provides a view into what is happening at the blockchain level, independent of exchange-level price action. This data is available for all assets on Pro+ and Founder plans.
Tracks the net movement of tokens into and out of centralized exchanges. Sustained outflows suggest accumulation.
The number of unique addresses interacting with the token. Rising active addresses indicate growing network activity.
Transactions above $100K USD. A proxy for institutional and whale activity.
Aggregate holdings of addresses labeled as smart money by Nansen. Changes indicate informed positioning.
Decentralized exchange volume for the asset. Rising DEX volume relative to CEX volume can signal retail or DeFi-native interest.
Measures how frequently tokens change hands. High velocity with rising price is bullish; high velocity with falling price is bearish.
On-chain data requires Pro+
Funding Rate History
The funding rate history chart on each asset page visualizes the historical perpetual futures funding rate across exchanges. Funding rates are the primary mechanism that keeps perpetual futures prices anchored to spot. When the rate is positive, longs pay shorts; when negative, shorts pay longs. Extreme funding rates create economic pressure for the crowded side to unwind.
Chart Features
View funding rates from Binance, Bybit, OKX, and Hyperliquid simultaneously to identify exchange-level divergences.
A weighted average line that smooths out single-exchange noise for a cleaner signal.
Shaded bands showing +/- 1 and 2 standard deviations from the mean, helping you visualize extremes in context.
Toggle between raw 8-hour rate and annualized percentage for APR-equivalent context.
Funding rate as a contrarian indicator
Open Interest Tracking
Open interest (OI) represents the total number of outstanding derivative contracts. Rising OI means new capital is entering the market; falling OI means positions are being closed. The relationship between price and OI changes is one of the most informative signals in derivatives trading.
OI-Price Relationship Matrix
| Price Up + OI Up | New longs entering. Trend is being backed by fresh capital. Bullish continuation signal. |
| Price Up + OI Down | Short covering rally. Existing shorts closing, not new buyers. Potentially weak rally. |
| Price Down + OI Up | New shorts entering. Fresh capital betting on further downside. Bearish continuation signal. |
| Price Down + OI Down | Long liquidation. Existing longs closing or getting stopped out. Potentially near a capitulation low. |
Thrive displays OI data across all major exchanges with both absolute values and percentage changes over configurable timeframes. The OI chart includes a price overlay so you can visually correlate OI changes with price action. OI data is also factored into the composite z-score and divergence detection engine.
Navigating Asset Pages
Each asset detail page is organized into collapsible sections. The default layout shows price performance and z-scores above the fold, with derivatives data, on-chain metrics, and signal history below. Scroll position is preserved when navigating between assets.
Find the asset
Use the command bar (Cmd+K and type the ticker), click an asset in the screener table, or select an asset from your watchlist.
Review the performance panel
The top section displays multi-timeframe returns, current price, market cap, volume, and distance from all-time high/low. This gives you immediate context on where the asset stands.
Check z-scores for extremes
Scroll to the z-score section. If the composite z-score is above +2.0 or below -2.0, the asset is at a statistical extreme worth investigating further.
Analyze derivatives context
Review funding rate history and open interest charts. Look for confirmation: are funding extremes aligned with the z-score reading? Is OI rising or falling into the move?
Cross-reference on-chain data
Check exchange netflows, smart money positioning, and large transaction counts. On-chain data provides a layer of validation independent of derivatives markets.
Next Steps
Trading Signals
See how AI signals incorporate asset analysis data into actionable trades.
Divergence Detection
Learn how price-derivatives divergences are detected and resolved.
Alert System
Build alerts based on z-score thresholds, funding extremes, and OI changes.
Watchlist
Track your most-traded assets with persistent monitoring.