> ## Documentation Index > Fetch the complete documentation index at: https://uncoded.ch/docs/llms.txt > Use this file to discover all available pages before exploring further. # Indicators — The 136 Building Blocks > Full catalog of indicators available in the SignalEditor. 136 indicators across 9 categories — every classic technical analysis family represented. **The SignalEditor exposes 136 indicators across 9 categories.** Every major technical analysis family is represented — moving averages, momentum oscillators, trend confirmations, volatility bands, volume metrics, candlestick patterns, statistics, cycle analysis, and math transforms. Almost every classic strategy can be expressed without custom code. ## Categories at a glance | Category | Examples | Use for | | ------------------- | -------------------------------------------------- | ---------------------------------------------------- | | **Moving averages** | SMA, EMA, WMA, DEMA, TEMA, HMA, KAMA, T3 | Trend identification, smoothing noise | | **Momentum** | RSI, Stochastic, CCI, Williams %R, ROC, TSI | Mean-reversion, overbought/oversold, divergence | | **Trend** | MACD, ADX, Parabolic SAR, Aroon, Vortex | Confirming trend strength and direction | | **Volatility** | Bollinger Bands, ATR, Keltner, Donchian | Position sizing, squeeze detection, regime detection | | **Volume** | OBV, MFI, CMF, VWAP, NVI/PVI, Klinger | Confirming participation behind price moves | | **Pattern** | CDL family — engulfing, doji, hammer, etc. | Candlestick-based entry/exit signals | | **Statistics** | z-score, correlation, beta, percentile rank | Rigorous mean-reversion thresholds | | **Cycle** | Hilbert Transform variants — Sine Wave, Trend Mode | Cycle-based market regime detection | | **Math transforms** | log, exp, sqrt, percent change, accumulation | Composing custom indicator-of-indicators | ## Moving averages — trend identification and smoothing Average of last N closes. The simplest and most-known. Equal weight to all included bars. Best for: simple trend identification when noise is low. Recent prices weighted more heavily than older prices. Faster response than SMA. Best for: most general-purpose trend tracking. EMA(20), EMA(50), EMA(200) are classics. Linear weighting toward recent prices. Between SMA and EMA in responsiveness. EMA-of-EMA computations that reduce lag while preserving smoothing. Best for: faster trend signals than EMA without too much added noise. Combination of WMAs designed for low lag and high smoothness. Popular among trend-followers. Adapts smoothing constant based on recent volatility. Smoother in chop, more responsive in trends. Smoother variant of EMA with specific lag-vs-smooth tradeoff. Used by professional trading systems. Attempts to remove lag inherent in EMAs by subtracting a delay term. The catalog includes McGinley Dynamic, ALMA, FRAMA, and others. All accessible from the SignalEditor's Indicator node selector. ## Momentum — overbought/oversold and divergence The most-known oscillator. Measures recent gains vs losses. Default thresholds: `<30` oversold, `>70` overbought. Best for: mean-reversion entries (oversold bounces) and divergence detection. Compares current close to recent range. Default thresholds: `<20` oversold, `>80` overbought. Best for: ranging markets where price oscillates within bounds. Stochastic applied to RSI values. More sensitive than either alone. Faster signals. Measures deviation from a recent moving average, scaled by mean absolute deviation. Default: `±100` bounds. Inverted scale stochastic-like oscillator. `0` to `-100`. Useful when you prefer the inverted shape. Percentage change over N bars. Pure momentum indicator. Useful as a directional filter. Smoother momentum variant. Better for slower timeframes where RSI is too noisy. Difference between two SMAs of midpoints. Bill Williams' indicator. ## Trend — confirming strength and direction Difference between two EMAs (typically 12 and 26), with a signal line (9-period EMA of the difference). Best for: trend confirmation, crossover signals, divergence detection. Measures trend strength regardless of direction. Combined with `+DI` and `-DI` for direction. Threshold: `>25` typically indicates a trend strong enough to follow. Below `25` is chop. Stop-and-reverse points. Useful for trailing-stop placement and trend confirmation. Measures how recently the highest high and lowest low occurred. Up and Down components. Two oscillators (`+VI`, `-VI`) measuring directional pressure. Crossovers signal trend changes. Tenkan-sen, Kijun-sen, Senkou Span A/B, Chikou Span. Composite Japanese trend system. ## Volatility — sizing and regime detection Moving average plus/minus a multiple of standard deviation. Three components: middle (SMA), upper, lower. Best for: identifying squeeze setups (low volatility), breakout detection, mean-reversion at band touches. Average of recent true ranges (a measure of bar range that accounts for gaps). Best for: position sizing, stop-loss placement, volatility filtering. Moving average plus/minus a multiple of ATR. Similar to Bollinger but ATR-based instead of standard-deviation-based. Highest high and lowest low over N bars. Classic breakout indicator. Direct measure of price dispersion. Used in statistics-based strategies. Annualized standard deviation of log returns. Useful for cross-symbol volatility comparison. ## Volume — confirming participation Cumulative volume signed by direction of close. Trend confirmation tool. Volume-weighted RSI. Identifies overbought/oversold considering volume. Volume-weighted accumulation/distribution. Above zero = buying pressure dominates. Average price weighted by volume over a period. Common reference for institutional execution. Cumulative indices that update only on down/up volume days respectively. ## Pattern — candlestick recognition (CDL family) The CDL family includes recognition for classic candlestick patterns: * **Reversal patterns**: engulfing (bullish/bearish), hammer, hanging man, shooting star, morning/evening star, abandoned baby. * **Indecision**: doji (and its variants). * **Continuation**: harami (bullish/bearish), three white soldiers / three black crows, dark cloud cover, piercing line. Use these as condition inputs (e.g., "fire entry only when bullish engulfing pattern AND RSI \< 30"). ## Statistics — rigorous thresholds Number of standard deviations from the mean. Threshold-based: `< -2` or `> +2` for tail events. Best for: rigorous mean-reversion thresholds tied to actual recent distribution. Linear correlation between two series. Useful for cross-asset or pair-trading strategies. Slope of the best-fit line. Direction and strength of trend in numeric form. Sensitivity to a benchmark. Useful for cross-symbol comparisons (e.g., "BTC's beta to total market"). What percentile is the current value in over the last N bars? Useful for threshold-detection: "current Bollinger width is in the bottom 10th percentile of last 100 bars" = squeeze. ## Cycle — Hilbert Transform variants Models the dominant cycle as a sine wave. Useful for "buy at cycle bottoms, sell at cycle tops" approaches. Detects whether the market is in trend mode or cycle mode. Useful as a regime filter. Numeric estimate of the current dominant cycle length in bars. ## Math transforms — composing custom logic Useful when composing indicator-of-indicators or normalizing signals: * **`log`** — natural logarithm. Useful for return-based calculations. * **`exp`** — exponential. Inverse of log. * **`sqrt`** — square root. Useful for variance normalization. * **`percent_change`** — percentage change over N bars. * **`accumulation`, `distribution`** — running sums. * **`abs`** — absolute value. ## Best practices for indicator selection * ✅ **Default to RSI(14) and EMA(50)** for first strategies — most-tested, most-documented. * ✅ **Match indicator timeframe to your strategy timeframe** — RSI on `15m` price for `15m` strategy. * ✅ **Don't combine 5+ indicators in one condition** — overfitting risk increases with complexity. * ✅ **Use volume indicators as confirmation, not as primary signal** — they confirm but rarely lead. * ✅ **Use ADX as a regime filter** for trend-following strategies — only act when trend is strong (`> 25`). * ✅ **Use Bollinger Width percentile** for squeeze-breakout setups — measurable and rigorous. * ✅ **Backtest each indicator's contribution** — does adding it actually improve the strategy? * ✅ **Don't ignore candlestick patterns** — CDL family is underused but valuable for entry timing. ## What's next The 41 condition types that combine indicator outputs into firing decisions. The 4 trigger modes that gate when conditions produce signals. The 15 timeframes you can anchor strategies to. Worked examples using these indicators.