The Opportunity Cost of Manual Market Scanning

Time spent scanning is time not spent trading. Screeners eliminate the bottleneck.

Hyperliquid lists 275 perpetual markets. If your agent checks each one individually — fetching OHLC data, calculating RSI, comparing volume to 30-day averages, checking funding rates — you're looking at hundreds of API calls and significant latency before a single trade decision is made.

Purple Flea's screener runs all of those calculations centrally, updated every 60 seconds across all markets simultaneously. Your agent makes one API call with its filter criteria and receives a ranked list of opportunities that already match the strategy. The difference between catching a breakout at its inception versus 5 minutes late is the difference between a 3% gain and entry at the top.

Beyond speed, the screener enables strategies that are computationally impractical for individual agents — cross-market statistical comparisons, relative strength rankings, and composite signal scoring across the entire universe of tradable assets.

What the screener enables

Find breakout setups across all 275 markets in <200ms
Filter by multiple simultaneous conditions (AND logic)
Sort results by any metric (momentum, volume, funding)
Run strategy-specific presets with a single call
Set persistent screener watchlists with alerts
Compare relative strength across correlated assets
Detect funding rate extremes across the full market
Identify volume anomalies before price moves follow

Python Example

One call. 275 markets scanned. Ranked results delivered.

import purpleflea
screener = purpleflea.ScreenerClient(api_key="YOUR_KEY")

# Find momentum breakout setups
results = screener.scan(
    filters=[
        {
            "metric": "price_change_24h_pct",
            "condition": "above",
            "value": 5
        },
        {
            "metric": "volume_24h_change_pct",
            "condition": "above",
            "value": 50
        },
        {
            "metric": "funding_rate_pct",
            "condition": "between",
            "values": [-0.05, 0.05]
        },
    ],
    sort_by="volume_24h_change_pct",
    limit=10
)
for r in results:
    print(
        f"{r['market']}: +{r['price_change_24h_pct']:.1f}%"
        f" | vol +{r['volume_24h_change_pct']:.0f}%"
    )
      

Response Structure

Each result includes all screened metrics plus the asset's full market context for immediate trading decisions.

{
  "market": "SOL-PERP",
  "price_change_24h_pct": 7.4,
  "volume_24h_change_pct": 182,
  "funding_rate_pct": 0.012,
  "rsi_14": 68.2,
  "oi_change_pct": 23.1,
  "score": 0.91
}

Persistent Screener Watchlists

Save screener configurations as named watchlists. Poll them on a schedule or subscribe to webhook alerts when new results enter the list.

Available Metrics

12 core metrics updated every 60 seconds across all 275 markets.

Metric	Description	Update Freq	Conditions
price_change_24h	Absolute price change over last 24 hours in USD	60s	above, below, between
price_change_24h_pct	Percentage price change over last 24 hours	60s	above, below, between
volume_24h	Total notional volume traded in last 24 hours (USD)	60s	above, below
volume_24h_change_pct	Volume change vs 30-day average (%)	60s	above, below, between
funding_rate_pct	Current 8-hour funding rate (positive = longs pay)	60s	above, below, between
oi_change_pct	Open interest change vs 24h ago (%)	60s	above, below, between
oi_usd	Total open interest in USD	60s	above, below
rsi_14	14-period RSI on hourly closes	60s	above, below, between
atr_14	14-period Average True Range (normalized as % of price)	60s	above, below
spread_bps	Current bid-ask spread in basis points	5s	above, below
liq_24h_usd	Total liquidations in last 24h (USD)	60s	above, below
mark_vs_index_pct	Divergence between mark price and index price (%)	5s	above, below, between

Strategy Presets

Pre-configured screener templates for the most common AI agent trading strategies.

Trend Following

Breakout Scanner

Identifies markets with strong price momentum backed by volume confirmation. Looks for assets up 5%+ with volume surging 50%+ above average, while RSI stays below overbought (avoiding chasing exhausted moves).

price_change_24h_pct > 5%
volume_24h_change_pct > 50%
rsi_14 < 75

Mean Reversion

Funding Rate Fade

Finds markets where extreme funding rates signal crowded positioning. When funding exceeds 0.1% (183% annualized), shorts become profitable as longs bleed the funding cost. Pairs well with the escrow API for delta-neutral execution.

funding_rate_pct > 0.1%
oi_change_pct > 20%
volume_24h > $5M

Volatility Play

High OI Squeeze

Finds markets with heavy open interest relative to volume — a setup where forced liquidations can create explosive moves. Monitors for conditions where a 5% move could cascade into a short or long squeeze.

oi_usd / volume_24h > 3x
liq_24h_usd > $500k
atr_14 > 3%

Screener Infrastructure

275

Perpetual markets scanned

12+

Screening metrics available

60s

Market data update frequency

Market Screener API
for AI Agents

The Opportunity Cost of Manual Market Scanning

Python Example

Available Metrics

Strategy Presets

Screener Infrastructure

Find Your Next Trade in Milliseconds

Market Screener APIfor AI Agents

The Opportunity Cost of Manual Market Scanning

Python Example

Available Metrics

Strategy Presets

Screener Infrastructure

Find Your Next Trade in Milliseconds

Market Screener API
for AI Agents