Time-Based Metrics Filters

Trading activity analysis across 9 timeframes for comprehensive market behavior insights.

Overview

Time-based metrics provide a complete picture of trading activity across multiple time windows. These filters help you analyze momentum, volume patterns, and trader behavior at different time scales.

All filters use between operator with [min, max] value format.

Available Timeframes

Metrics Summary

Note: Replace {tf} with any timeframe code: 1m, 5m, 15m, 30m, 1h, 4h, 12h, 24h, 1w

Filter Details

Buy/Sell Ratio

The ratio of buy transactions to total transactions, normalized to 0-1 scale.

Pattern: buy-sell-ratio-{timeframe}

Operator: between

Value Format: [min, max]

Default Range: 0 - 1

Step: 0.01

Available Filters:

Interpretation:

Example Configuration:

# Buy pressure requirement (more buys than sells)
buy-sell-ratio-1h: [0.55, 1]
 
# Strong momentum entry
buy-sell-ratio-5m: [0.65, 1]
buy-sell-ratio-1h: [0.6, 1]

Warning: Values near 1.0 may indicate artificial pump activity or very low sample size.

Buy Count

Number of buy transactions in the specified timeframe.

Pattern: buy-count-{timeframe}

Operator: between

Value Format: [min, max]

Default Range: 0 - 10,000

Step: 1 (integer only)

Available Filters:

Example Configuration:

# Minimum buy activity
buy-count-1h: [15, 10000]
 
# Active token with strong buying
buy-count-24h: [100, 10000]
buy-count-5m: [3, 10000]

Sell Count

Number of sell transactions in the specified timeframe.

Pattern: sell-count-{timeframe}

Operator: between

Value Format: [min, max]

Default Range: 0 - 10,000

Step: 1 (integer only)

Available Filters:

Example Configuration:

# Limit sell pressure
sell-count-1h: [0, 30]
 
# Combined with buy count for momentum
buy-count-1h: [20, 10000]
sell-count-1h: [0, 15]

Transaction Count

Total number of transactions (buys + sells) in the specified timeframe.

Pattern: tx-count-{timeframe}

Operator: between

Value Format: [min, max]

Default Range: 0 - 10,000

Step: 1 (integer only)

Available Filters:

Activity Levels:

Example Configuration:

# Minimum activity requirement
tx-count-1h: [20, 10000]
tx-count-24h: [100, 10000]
 
# High activity tokens only
tx-count-5m: [10, 10000]
tx-count-1h: [100, 10000]

Unique Wallets

Total unique wallets that have traded in the specified timeframe.

Pattern: unique-wallets-{timeframe}

Operator: between

Value Format: [min, max]

Default Range: 0 - 10,000

Step: 1 (integer only)

Available Filters:

Why Unique Wallets Matter:

• More unique wallets = broader community participation
• Low unique wallets with high volume = potential wash trading
• Growing wallet count = increasing adoption

Example Configuration:

# Minimum community size
unique-wallets-24h: [50, 10000]
unique-wallets-1h: [10, 10000]
 
# Active diverse community
unique-wallets-1h: [20, 10000]
unique-wallets-24h: [100, 10000]

Volatility

Price volatility measurement with high precision for detailed analysis.

Pattern: volatility-{timeframe}

Operator: between

Value Format: [min, max]

Default Range: 0 - 1,000

Step: 0.001 (high precision)

Available Filters:

Trading Strategies by Volatility:

Example Configuration:

# Moderate volatility for trend trading
volatility-1h: [5, 30]
 
# Low volatility conservative approach
volatility-24h: [0, 15]
 
# High volatility scalping
volatility-1h: [20, 1000]

Volume (USD)

Trading volume measured in USD.

Pattern: volume-{timeframe}

Operator: between

Value Format: [min, max] (USD)

Default Range: 0 - 100,000,000

Step: 0.01

Available Filters:

Volume Levels (24h):

Why Volume Matters:

• High volume confirms price movements
• Low volume suggests lack of interest or liquidity
• Volume spikes often precede major moves

Example Configuration:

# Active trading requirement
volume-1h: [1000, 100000000]
volume-24h: [10000, 100000000]
 
# Volume confirmation for momentum plays
volume-1h: [5000, 100000000]

Volume Change Percentage

Percentage change in volume compared to previous period.

Pattern: volume-change-pct-{timeframe}

Operator: between

Value Format: [min, max] (percentage)

Default Range: -1,000 - 10,000

Step: 0.01

Available Filters:

Interpretation:

Example Configuration:

# Volume increasing (momentum building)
volume-change-pct-1h: [10, 10000]
 
# Avoid volume collapse
volume-change-pct-24h: [-50, 10000]
 
# Volume surge detection
volume-change-pct-5m: [50, 10000]

Volume Delta

Absolute difference in volume (in USD) compared to previous period.

Pattern: volume-delta-{timeframe}

Operator: between

Value Format: [min, max] (USD)

Default Range: -100,000,000 - 100,000,000

Step: 0.01

Available Filters:

Use Cases:

• Detect absolute volume increases regardless of base level
• Identify large capital inflows
• Filter tokens gaining significant trading activity

Example Configuration:

# Positive volume growth
volume-delta-1h: [1000, 100000000]
 
# Significant capital inflow
volume-delta-24h: [10000, 100000000]

Price Change Percentage

Price movement as a percentage over the specified timeframe.

Pattern: price-change-pct-{timeframe}

Operator: between

Value Format: [min, max] (percentage)

Default Range: -100 - 10,000

Step: 0.01

Available Filters:

Interpretation Guide:

Example Configuration:

# Momentum entry (uptrend)
price-change-pct-1h: [5, 10000]
price-change-pct-24h: [0, 10000]
 
# Dip buying (short-term dip in uptrend)
price-change-pct-1h: [-20, -5]
price-change-pct-24h: [0, 10000]
 
# Avoid extreme volatility
price-change-pct-1h: [-20, 50]

Strategy Templates

Momentum Trading

price-change-pct-1h: [10, 10000]
price-change-pct-24h: [0, 10000]
buy-sell-ratio-1h: [0.6, 1]
volume-1h: [5000, 100000000]
unique-wallets-1h: [15, 10000]

Conservative Entry

price-change-pct-24h: [-10, 50]
volatility-24h: [0, 30]
tx-count-24h: [100, 10000]
unique-wallets-24h: [75, 10000]
volume-24h: [10000, 100000000]

Sniper (New Tokens)

volume-5m: [500, 100000000]
tx-count-5m: [10, 10000]
buy-sell-ratio-5m: [0.6, 1]
unique-wallets-5m: [5, 10000]

Dip Buying

price-change-pct-1h: [-20, -5]
price-change-pct-24h: [0, 10000]
buy-sell-ratio-1h: [0.5, 1]
volume-1h: [3000, 100000000]

Volume Surge Detection

volume-change-pct-1h: [50, 10000]
volume-1h: [5000, 100000000]
tx-count-1h: [50, 10000]
buy-sell-ratio-1h: [0.55, 1]

Related Filters

• Base Metrics - Liquidity analysis
• Pool Filters - Ownership distribution
• Transaction Percentiles - Trade size analysis
• Token Filters - Security checks

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