Custom Indicator Builder

Simple Moving Average. The unweighted mean of the last period values. Most common moving average — treats all bars equally.

sma_20 = sma(close, 20)

Exponential Moving Average. Gives more weight to recent values, making it more responsive to new data than SMA. Widely used for trend direction and dynamic support/resistance.

fast = ema(close, 9)
slow = ema(close, 21)

Weighted Moving Average. Linearly weighted — the most recent bar has the highest weight, decreasing linearly to the oldest bar in the window.

wma_14 = wma(close, 14)

Volume Weighted Moving Average. Weights each price by its volume, so high-volume bars have more influence. Useful for identifying the "true" average price institutions traded at.

vwma_20 = vwma(close, volume, 20)
# Price above VWMA = bullish volume bias
result = close - vwma_20

Relative Strength Index. Oscillates 0-100. Above 70 is overbought, below 30 is oversold. Standard period is 14.

rsi_val = rsi(close, 14)
# Smoothed RSI with moving average
result = sma(rsi_val, 5)

Rate of Change. Percentage change from period bars ago. Positive = price rising, negative = price falling. Useful for momentum divergence analysis.

result = roc(close, 12)

Momentum. Absolute price difference from period bars ago (unlike ROC which is percentage-based). Good for comparing momentum across timeframes.

result = mom(close, 10)

Commodity Channel Index. Measures price deviation from the statistical mean. Values above +100 suggest an uptrend, below -100 suggest a downtrend. Requires high, low, and close.

result = cci(high, low, close, 20)

Average Directional Index. Measures trend strength regardless of direction (0-100). Below 20 = weak/no trend, 20-40 = developing trend, above 40 = strong trend. Does NOT tell you the direction — use di_plus and di_minus for that.

trend_strength = adx(high, low, close, 14)
# Filter: only trade when trend is strong enough
result = iff(trend_strength > 25, 1, 0)

Plus Directional Indicator (+DI). Measures the strength of upward price movement. When +DI is above -DI, buyers are dominant. Part of the DMI system developed by J. Welles Wilder.

dip = di_plus(high, low, close, 14)
dim = di_minus(high, low, close, 14)
# Bullish when +DI crosses above -DI
result = crossover(dip, dim)

Minus Directional Indicator (-DI). Measures the strength of downward price movement. When -DI is above +DI, sellers are dominant. Use alongside +DI and ADX for a complete trend picture.

# DI spread: positive = bullish, negative = bearish
result = di_plus(high, low, close, 14) - di_minus(high, low, close, 14)

Average True Range. Measures volatility in absolute price terms. The true range accounts for gaps between bars. Commonly used for stop loss placement (e.g. 2x ATR below entry) and position sizing.

atr_val = atr(high, low, close, 14)
# Normalised ATR (percentage of price)
result = atr_val / close * 100

Standard Deviation. Statistical measure of price dispersion. Higher values = more volatile. Used internally by Bollinger Bands to set band width.

result = stdev(close, 20)

Variance. The square of standard deviation. Useful when you need to compare volatility without the square root computation.

result = variance(close, 20)

Bullish crossover. Returns 1 on the bar where series1 crosses above series2, 0 otherwise. Detects the exact moment of the cross — only fires once per crossing.

# Golden cross: 50 EMA crosses above 200 EMA
result = crossover(ema(close, 50), ema(close, 200))

Bearish crossover. Returns 1 on the bar where series1 crosses below series2, 0 otherwise.

# RSI leaving overbought territory
result = crossunder(rsi(close, 14), 70)

Highest value in the last period bars. Useful for breakout detection and Donchian channels.

# Breakout indicator: 1 when price makes new 20-bar high
result = iff(close >= highest(high, 20), 1, 0)

Lowest value in the last period bars.

result = lowest(low, 20)

Rolling sum of the last period values. Often used with volume to calculate cumulative volume.

# Volume surge: current vs 20-bar average
result = volume / (sum(volume, 20) / 20)

Rolling maximum (same as highest).

Rolling minimum (same as lowest).

Rolling mean (same as sma).

Absolute difference from period bars ago. Default is 1 (change from previous bar).

# Price change from 5 bars ago
result = change(close, 5)

Percentage change from period bars ago, multiplied by 100. So a 5% move returns 5.0.

# Daily percentage change
result = pctchange(close, 1)

If-then-else as a function. Returns then_value where condition is true, else_value where false.

# Score: +1 for bullish, -1 for bearish
result = iff(close > ema(close, 20), 1, -1)

Returns the value of series at the most recent bar where condition was true, shifted by offset bars.

# Price at last golden cross
last_cross_price = valuewhen(crossover(ema(close, 50), ema(close, 200)), close, 0)
result = close - last_cross_price