Choose crypto pairs and indicator intervals

Follow the example

Choose a step to follow the example. Opening a request lets you review it; it does not submit a job or change your account.

Step 1 of 3

Use the complete pair

Match BTC-USD and Cryptocurrency across the indicator, position check and action.

Follow the captured strategy and fills →

What you should see

The same BTC-USD Cryptocurrency asset appears in the indicator, position check and Buy/Sell action.

Step 2 of 3

Choose the observation window

Set Day for both the indicator window and the backtest; keep it fixed for your comparison.

What you should see

The indicator window and backtest both show Day. A coin pair and a stock symbol have different trading calendars.

Step 3 of 3

Open a bounded review in Aurora

Open the prepared Aurora review to interpret the linked example’s rules or recorded result. Retain its original inputs with the explanation.

What you should see

The linked page supplies the saved rules, recorded historical curve and captured fills or rejected resolution. Keep its test period and inputs with the explanation.

Review this example in Aurora →

Use the complete pair

BTC-USD, ETH-USD and SOL-USD price the base coin in US dollars. The Python crypto_asset helper expands BTC to BTC-USD and emits type Cryptocurrency. Use that same asset object in Price, moving averages, RSI, PositionValue and Buy/Sell actions.

from nexustrade.portfolio import crypto_asset, Price, SMA
asset = crypto_asset("ETH")
entry = Price(asset) > SMA(asset, 50, "Day")

Choose the observation window

The examples explicitly use Day indicator windows and a Day backtest. Crypto trades throughout the week. Explore the recorded signal and fill timestamps to see when the engine evaluated the rules. Keep the interval fixed when comparing different signal parameters.

Research the pair

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