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How to read this page

Trinigence supports a broad set of technical indicators commonly used in discretionary and systematic trading. This page:
  • groups indicators by category
  • explains what they measure
  • explains how they are usually used
It does not list every parameter or edge case - those are handled dynamically by ATI.

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General availability

Trinigence supports:
  • the full TA-Lib indicator set
  • selected custom indicators
  • derived indicators (states, trends, regime flags)
Indicators are available across:
  • supported crypto markets
  • all supported timeframes
  • entry, exit, and filter logic
Indicator availability may depend on market data (price, volume).

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Trend indicators

Trend indicators help identify direction and structure. Common examples:
  • SMA (Simple Moving Average)
  • EMA (Exponential Moving Average)
  • WMA
  • Supertrend
  • Moving Average Envelopes
Typical uses:
  • trend direction filters
  • crossover-based entries
  • dynamic support/resistance
Example: 
EMA(50) is above EMA(200)

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Momentum indicators

Momentum indicators measure speed and strength of movement. Common examples:
  • RSI
  • MACD
  • Stochastic Oscillator
  • ROC (Rate of Change)
Typical uses:
  • overbought/oversold detection
  • momentum confirmation
  • divergence analysis
Example: 
RSI(14) crosses above 50

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Volatility indicators

Volatility indicators measure range and variability. Common examples:
  • ATR
  • Bollinger Bands
  • Standard Deviation
Typical uses:
  • adaptive stops
  • volatility filters
  • regime detection
Example: 
ATR(14) is above its 20-period average

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Volume indicators

Volume indicators measure participation and conviction. Common examples:
  • Volume
  • VWAP
  • OBV (On-Balance Volume)
Typical uses:
  • breakout confirmation
  • liquidity filters
  • trend validation
Example: 
Volume is above its 20-period average

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Price action–derived indicators

These indicators are derived directly from price behavior. Examples:
  • previous high / low
  • candle patterns
  • range breakouts
  • inside / outside bars
Typical uses:
  • breakout strategies
  • structure-based entries
  • support/resistance logic

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Custom & composite indicators

Trinigence also supports:
  • custom indicators built into the platform
  • composite indicators derived from multiple sources
  • trend states (bullish / bearish)
  • regime flags (trending / ranging)
These abstract complexity and expose simple states. Example: 
Trend is bullish

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Indicator parameters

Most indicators accept parameters such as:
  • length
  • smoothing method
  • multipliers
If parameters are:
  • explicitly defined → used as-is
  • omitted but standard → ATI applies defaults
  • ambiguous → ATI asks for clarification

What Trinigence fills automatically

See how defaults are handled.

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What is not supported

Indicators that rely on:
  • future data
  • repainting behavior
  • non-deterministic inputs
are intentionally not supported.
Only indicators that can be evaluated deterministically on historical data are allowed.

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Best practices

  • Start with well-known indicators
  • Understand what each indicator measures
  • Avoid stacking redundant indicators
  • Combine indicators with intent

Operators & conditions

Learn how indicators become rules.

Indicators overview

How indicators fit into strategy logic.

Crossovers & trend changes

Event-based indicator logic.

Entry logic

Using indicators to open trades.

Writing trading ideas

Express indicator usage clearly.
Indicators describe what the market is doing.
Logic decides what you do about it.