2. Indicators
The platform indicators are calculated on internal servers and serve as the basis for analyzing data on trading pairs and/or coins.
Almost all indicators on the platform can be used on all popular timeframes on the chart.
All indicators are collected in a convenient list on this page:
This reference has the following structure:
- Column A — a group number for easier working with the list.
- Column B “Group name ENG” — the indicator group name in English.
- Column C “Indicator ENG” — the indicator name in English.
- Column D “Alerts” — shows whether the indicator is available for creating alerts.
- Columns E–M — show which timeframes the indicator is available on.
- Column N “Additional information” — contains extra notes on the indicator, e.g., how it is calculated.
| Group | Description |
|---|---|
| Group 1 | TA |
| Group 2 | Onchain |
| Group 3 | Wallets |
| Group 4 | Volume, deals |
| Group 5 | Delta |
| Group 6 | Buy-to-sell |
| Group 7 | Compare&avg |
| Group 8 | Sectors |
| Group 9 | Market coins |
Separately, note the cohort analysis indicators available in the Onchain indicators section on the chart
2.1. TA (technical indicators)
This group contains classic technical indicators used for analyzing price charts. They include:
- Moving averages (MA, EMA, WMA)
- Oscillators (RSI, Stochastic)
- Volume indicators (OBV)
- Volatility indicators (Bollinger Bands)
- And other classic technical indicators
These indicators help determine trends, overbought/oversold levels, and potential reversal points.
2.2. Onchain
Onchain indicators use data directly from the blockchain to analyze market participants’ activity and behavior. Among them:
- Cohort balances — the total BTC balances in the whale wallet cohorts
- Cohort quantity — the number of wallets in whale cohorts
- Cohort profit by tf — the sum of realized profit in USD in a specific whale cohort on a specific timeframe, calculated only for sell transactions. For buys the value is zero.
- Cohort cumulative profit — the cumulative realized profits in the cohort wallets at a given point in time.
- Cohort total money spent USD — the cumulative amount of money spent by cohort wallets on purchases up to the current transaction moment (type spent). Zero on sell transactions.
- Cohort total money received USD — the cumulative amount of money received by cohort wallets from sales up to the current transaction moment (type received). Zero on buy transactions.
- Cohort delta total money — the difference between total_money_received_usd and total_money_spent_usd for the current transaction.
- Cohort total money spent USD with previous sells — same as “spent”, but does not reset to zero on sells; it keeps the last valid value.
- Cohort total money received USD with previous buys — same as “received”, but does not reset to zero on buys; it keeps the last valid value.
- Cohort delta total money with sells/buys — the sum of deltas of accumulated received and spent money in the cohort on a given TF.
- Cohort PNL — a logical filter for the delta total money metric where we look only at wallet sells.
- Cohort average price of assets — the average asset cost in a wallet at the current transaction moment. Computed from spent amounts and balances (only buys).
- Cohort average buy price — the average price at which wallets bought BTC. On the chart we show the average for all wallets in the cohort.
- Cohort average sell price — the average price at which wallets sold BTC. On the chart we show the average for all wallets in the cohort.
2.3. Volume, deals
Volume and deals indicators show trading activity and market volume distribution. They help determine trend strength and potential reversal points.
They include:
- Trading volumes by time intervals
- Distribution of deals by size
- Ratio of large to small trades
- Abnormal trading volumes
2.4. Averages
Average-based indicators help smooth price fluctuations and reveal general market trends. They include various moving averages and derivatives.
2.5. Delta
Delta indicators show the difference between buys and sells, helping to determine buyer or seller pressure.
They are especially useful for identifying hidden accumulation or distribution by large players.
2.6. Buy-to-sell
Buy-to-sell ratio indicators show the balance between buying and selling activity on the market.
2.7. Compare previous
Comparison-with-previous-period indicators allow you to compare current market activity with historical data to reveal anomalies and patterns.
2.8. Market coins
These indicators analyze the behavior of various cryptocurrencies, their relationships and influence on each other, helping identify leaders and laggards.
2.9. Sectors
Sector-based indicators analyze segments of the crypto market such as DeFi, NFT, Layer 1, Layer 2 and others to determine which sectors show strength or weakness.