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Guide

What your agent sees

Every number an AgentHub AI perps agent can use in its strategy brief, in plain units.

Paper trading · no real money

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On every run

Each time your agent runs, the AI reads your brief, the deployer’s limits, its own account (cash, open positions with entry, stop-loss and profit) and a market snapshot for each market it may trade. The snapshot has the live price, funding and open interest from Hyperliquid, plus the features below, computed from candles and history AgentHub collects for you.

Write rules with these names in brackets, like trend1d = up or change24hPct ≥ 3. The AI checks each rule against the number and only trades when every condition holds. “Test the brief” shows the same numbers a live run would see.

Missing means not met

A new market needs time to build history: open interest change over 7 days, for example, appears after a week of collection. Until a feature has enough data it is empty, and any rule that depends on it counts as not met, so the agent holds.

Price moves

NameWhat it meansReads asExample rule
Change over 1 hourchange1hPctHow far the price has moved over the last 1 hour.%Price is up at least 3% over 1 hour (change1hPct ≥ 3)
Change over 4 hourschange4hPctHow far the price has moved over the last 4 hours.%Price is up at least 3% over 4 hours (change4hPct ≥ 3)
Change over 24 hourschange24hPctHow far the price has moved over the last 24 hours.%Price is up at least 3% over 24 hours (change24hPct ≥ 3)
Change over 7 dayschange7dPctHow far the price has moved over the last 7 days.%Price is up at least 3% over 7 days (change7dPct ≥ 3)
Change over 30 dayschange30dPctHow far the price has moved over the last 30 days.%Price is up at least 3% over 30 days (change30dPct ≥ 3)

Trend

NameWhat it meansReads asExample rule
4-hour trendtrend4hUp when the 20-candle average is above the 50 and price is above the 50 (4-hour candles); down for the opposite; otherwise flat.up / down / flatOnly go long when trend4h is up
Daily trendtrend1dThe same test on daily candles: the bigger picture.up / down / flatStay flat when trend1d is down
Price vs 50-day averagepriceVsSma50_1dPctHow far price is above (+) or below (−) its 50-day average.%Buy pullbacks within 2% of the 50-day average (priceVsSma50_1dPct between 0 and 2)
Price vs 200-day averagepriceVsSma200_1dPctHow far price is above or below its 200-day average: the long-term regime.%Only trade longs while price is above the 200-day average

Range

NameWhat it meansReads asExample rule
20-day highhigh20dThe highest price of the last 20 full days.USDGo long on a break above the 20-day high (newHigh20d is true)
20-day lowlow20dThe lowest price of the last 20 full days.USDExit longs if price breaks the 20-day low
Distance from 20-day highdistFromHigh20dPctHow far price is from the 20-day high (negative = below it).%Within 1% of the 20-day high
Distance from 20-day lowdistFromLow20dPctHow far price is from the 20-day low (positive = above it).%Buy within 3% of the 20-day low
New 20-day highnewHigh20dTrue when price is above the 20-day high right now.true / falseBreakout entry when newHigh20d is true
New 20-day lownewLow20dTrue when price is below the 20-day low right now.true / falseNever buy on a new 20-day low

Volatility

NameWhat it meansReads asExample rule
Typical daily range (ATR)atr14_1dPctThe average daily range over 14 days, as % of price. Good for stop distances.%Stop-loss 1.5 times the daily ATR below entry
Typical 4-hour range (ATR)atr14_4hPctThe average 4-hour range over 14 candles, as % of price.%Stop 2 times the 4-hour ATR below entry
RSI (1 hour)rsi14_1hMomentum oscillator from 0 to 100; above 70 is stretched up, below 30 stretched down.0–100Buy dips when rsi14_1h is below 35 in a daily uptrend
RSI (4 hours)rsi14_4hThe same oscillator on 4-hour candles.0–100Take profit when rsi14_4h is above 75
Volatility (last 24h)realisedVol24hPctHow much price actually moved around over the last day.%Skip trades when the last 24h volatility is above 6%
Volatility regimevolRegimeLast 24h volatility against its 30-day norm: calm (under 0.7x), normal, or hot (over 1.5x).calm / normal / hotBreakouts only when volRegime is not calm

Volume

NameWhat it meansReads asExample rule
24h volumevolume24hUsdDollar value traded over the last 24 hours.USDOnly trade markets with over $50M of 24h volume
Volume vs normalvolume24hVs7dAvgToday's volume against the 7-day daily average (1.5 = 50% busier than usual).ratioBreakouts need volume24hVs7dAvg above 1.3

Positioning

NameWhat it meansReads asExample rule
Funding nowfundingNowPctPerHourThe hourly funding rate. Positive: longs pay shorts. Neutral is about 0.00125% per hour.% per hourSkip longs when funding is above 0.004% per hour
Funding, 24h averagefunding24hAvgPctPerHourAverage hourly funding over the last day.% per hourShort when the 24h average funding is above 0.003% per hour
Funding, 7-day averagefunding7dAvgPctPerHourAverage hourly funding over the last week.% per hourCarry: long when the 7-day average funding is negative
Funding percentile (30 days)fundingPctile30dWhere today's funding ranks against the last 30 days: 95 means higher than 95% of the time.0–100Fade crowded longs when fundingPctile30d is above 90
Open interestoiUsdTotal value of open positions in this market.USDOnly trade markets with over $100M open interest
Open interest change (1h)oiChange1hPctHow much open interest (in contracts) changed over the last hour.%A breakout counts only if open interest rose over the hour
Open interest change (24h)oiChange24hPctPrice up with open interest up is new money; price up with it down is shorts covering.%Long only if price and open interest are both up over 24h
Open interest change (7 days)oiChange7dPctOpen interest change over the week. Ready after 7 days of collection.%Avoid markets where open interest grew over 40% in a week
PremiumpremiumPctHow far the perp price is above (+) or below (−) the oracle (spot) price.%Buy flushes only when the premium is 0% or below

Order book

NameWhat it meansReads asExample rule
Book imbalancebookImbalanceTotal bid size over total ask size in the top 20 levels; above 1 means more buyers resting.ratioRequire bookImbalance of at least 1.2
Bid depth within 1%bidDepth1PctUsdDollars of buy orders resting within 1% below the price.USDSkip markets with under $2M of bids within 1%
Ask depth within 1%askDepth1PctUsdDollars of sell orders resting within 1% above the price.USDThin asks (under $1M within 1%) favour breakouts

What it remembers

The AI starts every run fresh, so AgentHub hands it a memory built from the record: the history of each open position, its recent decisions, and a short note it wrote to itself last time. That makes rules like “take half at 2R”, “add once” or “after three losses in a row, halve size” work reliably.

NameWhat it means
openedAt · holdingHoursWhen the position was opened and how long it has been held.
originalEntryPrice · originalStopPriceThe price and stop-loss it was opened with, even after the stop has been moved.
rMultipleProfit in multiples of the original risk: 2 means price moved twice the distance from entry to the original stop in your favour; −0.5 is half the risk lost.
adds · reducesHow many times it was added to or partly closed since opening.
bestPriceSinceOpen · moveFromBestPctThe best price since opening (highest for a long) and how far price is from it. Good for trailing stops.
fundingSinceOpenMinor · feesSinceOpenMinorFunding and fees on this position so far, in cents (negative = paid).
memory.recentDecisionsIts last five runs: what it did and whether that executed, held or was blocked.
memory.recentTradesWins, losses and net result of its last ten closed trades, and lossStreak (losing trades in a row).
memory.noteThe note it left itself on its previous run (up to 280 characters), such as “took half off BTC at 2R”.

See why it decided

Each run shows the stop-loss, take-profit and leverage it proposed. As the builder you also see every rule in your brief as the AI checked it (✓ or ✗ with the value it saw) and its note. Deployers see the summary but not these, because they would reveal your private brief.

Let AgentHub size the trade

Write how much the agent may lose if the stop is hit, not a dollar amount: “risk 1.5% of the account at the stop”. The AI then sends riskPct with its stop-loss, and AgentHub works out the exact position size: the move to the stop, the trading fee to open and close, the price it would really fill at in the order book, and every limit the deployer set (largest trade, most one trade can lose, margin, position size), rounded to a size the market accepts.

Each run shows how it was sized, for example “Risk 2% ($2,000 at the stop) → sized at $125,700 · limited by the risk it chose”. If no valid size fits (the stop is on the wrong side, or the size would be under the $10 minimum), the agent holds and says why. The deployer’s limits still check every trade afterwards.

A brief that uses them

Strategy brief
Long-only trend follower at 3x on BTC-PERP and SOL-PERP.

ENTER LONG when ALL are true:
- The daily trend is up (trend1d = up)
- Price pulled back: 1h RSI below 40 (rsi14_1h < 40)
- Longs are not crowded: funding percentile below 80 (fundingPctile30d < 80)
- Open interest is not falling over 24h (oiChange24hPct >= 0)

RISK: stop-loss 1.5 times the daily range below entry (atr14_1dPct),
risk 1% of the account at the stop (AgentHub sizes it), 3x leverage.

MANAGE: at 1R (rMultiple >= 1) move the stop to entry; at 2R take half
off once (reduces = 0); then trail the stop 2 times the daily range below
the best price since opening (bestPriceSinceOpen).

EXIT when the daily trend is no longer up, or price makes a new
20-day low (newLow20d = true). After 3 losing trades in a row
(memory.recentTrades.lossStreak >= 3), halve the size. Otherwise HOLD.

Every condition is a number the AI can check, so its decision shows exactly which rule passed or failed. Your deployer’s limits (leverage, most one trade can lose, drawdown) are still enforced on every trade.

How fresh it is

DataUpdated
Price, funding, open interest, order bookOn every run (live)
1-hour candlesEvery 5 minutes
4-hour candlesEvery 15 minutes
Daily candles and funding historyEvery hour
Open interest historyEvery hour, from our own samples

Building your own bot instead? It can use any data you like; see Your own bot.

Next: Your own bot (API + SDK) →
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