Every filter rule in the editor is built from the same core pieces. If you understand those pieces, you can read almost any rule in the strategy and spot mistakes quickly.

A single filter rule expanded in the editor, with the indicator name, timeframe selector, operator selector, value input, and indicator-specific params visible.

What this is

This article explains the anatomy of one filter rule in the bot editor.

When to use it

Use this article if:

you do not understand what a rule field means
you want to build filters more precisely
you need to debug why a rule behaves differently from what you expected

Before you start

Before editing an individual rule, know these basics:

a rule is defined by type, timeframe, op, value, and params
supported timeframes are 1, 5, 15, 30, 60, 240, and D
the core operator set is above, below, cross_above, cross_below, and eq
some filters expose additional params, while others do not
some filters, such as funding_rate, hide timeframe entirely

Step by step

Step 1: Choose the rule type

The rule type is the indicator or trigger itself, such as:

RSI
EMA crossover
Bollinger %B
volume ratio
TradingView signal

The rule type decides which other fields are relevant.

Step 2: Set the timeframe

The timeframe tells the rule which candle interval to evaluate.

Use higher timeframes for slower context and lower timeframes for faster triggers. The key principle is consistency: the timeframe should match the setup idea instead of being chosen at random.

Not every rule shows the timeframe selector. That is expected for filters whose data source is not candle-based in the same way.

Step 3: Set the operator

The operator defines the relationship that must be true.

The current operator set is:

above
below
cross_above
cross_below
eq

Use crossing operators when the event matters. Use above or below when the level itself matters. Use eq for fixed-value cases such as TradingView signal actions.

Step 4: Set the value

The value is the threshold or target the rule compares against.

Examples:

RSI value such as 30
percentage threshold
fixed option values such as TradingView BUY or SELL

Do not assume the value is always a price. In many filters it is a threshold, not a quote.

Step 5: Configure params

params are indicator-specific settings. They can include:

lookback period
smoothing period
multiplier
rule-specific tuning fields

Examples from the available filters:

rsi uses period
ema_crossover uses fast_period and slow_period
supertrend uses period and mult
funding_rate can use:
max_seconds_to_next_funding (entry window; allow the rule only when funding is close enough)
target_seconds_to_next_funding (submit target; hold order placement until the target window starts)
submit_slack_seconds (execution slack; accounts for gateway/exchange latency around the target)
cancel_unfilled_seconds_after_funding (post-funding TTL; cancels a still-unfilled entry order after settlement)

A filter rule with several param inputs filled in, highlighting that params belong to the indicator and are not global bot settings.

Step 6: Validate the rule in context

After editing a rule, check:

does the timeframe match the setup idea
does the operator match the behavior I want
is the value a threshold, an event, or a fixed option
do the params make the rule too slow or too noisy

Then run Test Filters instead of trusting the rule by inspection only.

What you should see

After reading a rule, you should be able to answer:

what the rule measures
on which timeframe it measures it
what condition must be true
which threshold or option it checks
which extra params modify the calculation

Common mistakes

using cross_above when you only need a stable above condition
copying a value from one indicator into another indicator with different meaning
treating params as decoration instead of part of the calculation
mixing timeframes without a deliberate design
forgetting that some rules use fixed value options rather than free numeric thresholds

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