Indicator Reference

Every indicator in AlgoLift's library — formula, inputs, outputs, setups, and the patterns that make each one useful in real strategies.

Updated 2026-05-24
8 min read
beginner

Forty indicators across five categories. Each has its own page with the formula, the AlgoLift node's exact inputs and outputs, three usage setups, and the advanced platform-specific patterns that make the indicator more than a chart overlay.

This is the lookup layer of the guide. Land here when you're building a strategy and need the details on a specific tool. If you're learning indicator analysis from scratch, the Algotrading-101 indicators lesson is the place to start.

Browse by category

All indicators

IndicatorCategoryDefault periodPrimary use
SMAMoving Averages20Trend baseline, regime classification
EMAMoving Averages20Default trend indicator, faster than SMA
DEMAMoving Averages14Trend with reduced lag
TEMAMoving Averages14Minimal-lag execution signals
Hull MAMoving Averages14Fast and smooth — clean slope signal
KAMAMoving Averages(10, 2, 30)Adapts to market regime
RSIOscillators14Momentum, overbought/oversold
StochasticOscillators(14, 3)Range-bound momentum
Williams %ROscillators14Inverted stochastic-style oscillator
CCIOscillators20Deviation from typical price
PPOOscillators(12, 26, 9)MACD as a percentage
Ultimate OscillatorOscillators(7, 14, 28)Multi-period momentum confluence
StochRSIOscillators(14, 14, 3, 3)Stochastic applied to RSI
TSIOscillators(25, 13)Double-smoothed momentum
CMOOscillators14Pure momentum oscillator
Fisher TransformOscillators9Sharp reversal signals
ADX/DMITrend14Trend strength and direction
Parabolic SARTrend(0.02, 0.2)Trailing stop / trend reversal
SupertrendTrend(10, 3)ATR-based trend overlay
VortexTrend14Trend reversal detection
AroonTrend25Time since high/low
Ichimoku CloudTrend(9, 26, 52)Multi-line trend system
MACDTrend(12, 26, 9)Trend + momentum composite
TRIXTrend14Triple-smoothed momentum
Linear RegressionTrend14Statistical trend line
ATRVolatility14Average bar range, used for stops
Bollinger BandsVolatility(20, 2)Standard-deviation envelopes
Keltner ChannelVolatility(20, 2)ATR-based envelopes
Donchian ChannelsVolatility20High/low envelopes for breakouts
Chaikin VolatilityVolatility(10, 10)Volatility rate-of-change
OBVVolumeCumulative volume flow
MFIVolume14Volume-weighted RSI
VolumeVolumeRaw traded contracts/shares
A/D LineVolumeAccumulation/distribution
CMFVolume20Money flow within range
Elder's Force IndexVolume13Force = price change × volume
Chaikin OscillatorVolume(3, 10)A/D Line momentum
VWAPVolume(session)Institutional execution reference

How to read these pages

Every indicator page in this reference follows the same structure:

  1. One-sentence definition at the top — what the indicator measures, in plain English.
  2. Chart overlay — the indicator on a real price chart so you know what to expect visually.
  3. Formula — exactly how AlgoLift computes it, with the math and the smoothing assumptions.
  4. Inputs and outputs — the node's exact settings and output handles, ready to wire into a strategy.
  5. How to read it — value-by-value interpretation, with the trade-offs.
  6. Three setups — concrete usage patterns with node graphs.
  7. Advanced patterns in AlgoLift — platform-specific patterns (trailing stops, scale-ins, regime filters, multi-timeframe) that pair naturally with the indicator.
  8. Common mistakes and misconceptions — the things people get wrong about this indicator, with the corrections.

The goal isn't to teach indicator analysis from scratch — that's what the Algotrading-101 Academy is for. The goal is to give you everything you need to wire any indicator into a real strategy in minutes.

Key Takeaway

Indicators don't predict price. They describe what already happened in a structured way that's easier to reason about than raw OHLC. The strategies that work are the ones that combine indicators with regime filters, position sizing, and risk management — not the ones that find the "right" indicator.