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EQL Cheat Sheet

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Quick Ref - Alphabetical

  • acos: acos_values = SPY.close -> rsi(1000) -> acos()
  • adma: avgAdaptiveValue = SPY.close -> adma(10, 26, 12)
  • apo:
    • apo_values = SPY.close -> apo(12, 26, "sma")
  • asin: asin_values = SPY.close -> rsi(1000) -> asin()
  • atan: atan_values = SPY.close -> rsi(1000) -> atan()
  • ceil: ceil_values = SPY.close -> ceil()
  • cmo: cmo_values = SPY.close -> cmo(15)
  • cosh: cosh_values = SPY.close -> rsi(1000) -> cosh()
  • cume: cumeValue = SPY.priceVolumeFactor -> cume()
  • dema: dema_values = SPY.close -> dema(30)
  • dx:
    • SPY.close -> dx(15)
    • SPY.close -> dx(50, scale=1.0)
  • ema: avgExponentialValue = SPY.close -> ema(20)
  • ema3x: tripleXavgValue = SPY.close -> ema3x(10, 26, 12)
  • exp: floor_values = SPY.close -> ln()
  • fisher:
    scssCopy codex = SPY.close -> rsi(30)
    fisherValue = x / 100 -> fisher()
  • floor: floor_values = SPY.close -> floor()
  • gauss: avgGaussValue = SPY.close -> gauss(20, 3)
  • high: SPY.high
  • hma: hullValue = SPY.close -> hma(40)
  • ht_dcperiod: ht_dcperiod_values = SPY.close -> ht_dcperiod()
  • ht_dcphase: ht_dcphase_values = SPY.close -> ht_dcphase()
  • kama: kama_values = SPY.close -> kama(30)
  • lag: delayedPrice = SPY.close -> lag(60)
  • ln: floor_values = SPY.close -> ln()
  • log10: log10_values = SPY.close -> log10()
  • low: SPY.low
  • macd: macdValue = SPY.close -> macd(15, 30)
  • ma: ma_values = SPY.close -> ma(23, "ema")
  • max: max_values = SPY.close -> max(30)
  • median: median_values = [AMZN, SPY, ORCL].close -> median()
  • min: min_values = SPY.close -> min(30)
  • min_max_filter: filtered = SPY.close -> rsi(30) -> min_max_filter(-25, 25)
  • mom: momValue = SPY.close -> mom(20)
  • ohlc: SPY.ohlc
  • open: SPY.open
  • ppo: ppo_values = SPY.close -> ppo(12, 26, "sma")
  • proxy: SPY.proxy
  • roc: roc_values = SPY.close -> roc(15)
  • rocp: rocp_values = SPY.close -> rocp(15)
  • rocr: rocr_values = SPY.close -> rocr(15)
  • rocr100: roc_100_values = SPY.close -> rocr100(15)
  • rsi: normalized = SPY.close -> rsi(30)
  • sin: sin_values = SPY.close -> rsi(1000) -> sin()
  • sinh: sinh_values = SPY.close -> rsi(1000) -> sinh()
  • sma: avgSimpleValue = SPY.close -> sma(30)
  • sqrt: sqrt_values = SPY.close -> sqrt()
  • stddev: stddev_values = SPY.close -> stddev(14, 1)
  • sum: sum_values = SPY.close -> sum(30)
  • tan: tan_values = SPY.close -> rsi(1000) -> tan()
  • tanh: tanh_values = SPY.close -> rsi(1000) -> tanh()
  • tema: tema_values = SPY.close -> tema(30)
  • ternary: ternaryValue = SPY.close -> rsi(30) -> ternary(10)
  • tilson: tilsonValue = SPY.close -> tilson(40, 0.7)
  • trima: trima_values = SPY.close -> trima(15)
  • trix: trix_values = SPY.close -> trix(15)
  • tsf: tsf_values = SPY.close -> tsf(15)
  • tsi: tsiValues = SPY.close -> tsi(30, 90, 60)
  • var: var_values = SPY.close -> var(15, 1)
  • volume: SPY.volume
  • wma: avgWeightedValue = SPY.close -> wma(20)

Quick Ref - Categories

Cycle Indicators

  • ht_dcperiod: ht_dcperiod_values = SPY.close -> ht_dcperiod()
  • ht_dcphase: ht_dcphase_values = SPY.close -> ht_dcphase()

Math Operators

  • max: max_values = SPY.close -> max(30)
  • min: min_values = SPY.close -> min(30)
  • sum: sum_values = SPY.close -> sum(30)

Math Transform

  • acos: acos_values = SPY.close -> rsi(1000) -> acos()
  • asin: asin_values = SPY.close -> rsi(1000) -> asin()
  • atan: atan_values = SPY.close -> rsi(1000) -> atan()
  • ceil: ceil_values = SPY.close -> ceil()
  • cos: cos_values = SPY.close -> rsi(1000) -> cos()
  • cosh: cosh_values = SPY.close -> rsi(1000) -> cosh()
  • cume: cumeValue = SPY.priceVolumeFactor -> cume()
  • exp: floor_values = SPY.close -> ln()
  • fisher:
    scssCopy codex = SPY.close -> rsi(30)
    fisherValue = x / 100 -> fisher()
  • floor: floor_values = SPY.close -> floor()
  • gauss: avgGaussValue = SPY.close -> gauss(20, 3)
  • ln: floor_values = SPY.close -> ln()
  • log10: log10_values = SPY.close -> log10()
  • median: median_values = [AMZN, SPY, ORCL].close -> median()
  • min_max_filter: filtered = SPY.close -> rsi(30) -> min_max_filter(-25, 25)
  • sin: sin_values = SPY.close -> rsi(1000) -> sin()
  • sinh: sinh_values = SPY.close -> rsi(1000) -> sinh()
  • sqrt: sqrt_values = SPY.close -> sqrt()
  • tan: tan_values = SPY.close -> rsi(1000) -> tan()
  • tanh: tanh_values = SPY.close -> rsi(1000) -> tanh()

Momentum Indicator

  • dx:
    • SPY.close -> dx(15)
    • SPY.close -> dx(50, scale=1.0)
  • mom: momValue = SPY.close -> mom(20)
  • rsi: normalized = SPY.close -> rsi(30)
  • tsi: tsiValues = SPY.close -> tsi(30, 90, 60)

Momentum Indicators

  • apo:
    • apo_values = SPY.close -> apo(12, 26, "sma")
  • cmo: cmo_values = SPY.close -> cmo(15)
  • roc: roc_values = SPY.close -> roc(15)
  • rocp: rocp_values = SPY.close -> rocp(15)
  • rocr: rocr_values = SPY.close -> rocr(15)
  • rocr100: roc_100_values = SPY.close -> rocr100(15)
  • trix: trix_values = SPY.close -> trix(15)
  • ppo: ppo_values = SPY.close -> ppo(12, 26, "sma")

Moving Average

  • adma: avgAdaptiveValue = SPY.close -> adma(10, 26, 12)
  • combine_lists: combined_values = [MSFT, SPY, AMZN].close -> combine_lists(combine="max")
  • ema: avgExponentialValue = SPY.close -> ema(20)
  • ema3x: tripleXavgValue = SPY.close -> ema3x(10, 26, 12)
  • hma: hullValue = SPY.close -> hma(40)
  • kama: kama_values = SPY.close -> kama(30)
  • macd: macdValue = SPY.close -> macd(15, 30)
  • sma: avgSimpleValue = SPY.close -> sma(30)
  • t3: t3Value = SPY.close -> t3(40)
  • tilson: tilsonValue = SPY.close -> tilson(40, 0.7)
  • wma: avgWeightedValue = SPY.close -> wma(20)

Overlap Studies

  • dema: dema_values = SPY.close -> dema(30)
  • ht_trendline: ht_trendline_values = SPY.close -> ht_trendline()
  • kama: kama_values = SPY.close -> kama(30)
  • ma: ma_values = SPY.close -> ma(23, "ema")
  • midpoint: midpoint_values = SPY.close -> midpoint(15)
  • tema: tema_values = SPY.close -> tema(30)
  • trima: trima_values = SPY.close -> trima(15)

Price Indicator

  • close: SPY.close
  • high: SPY.high
  • low: SPY.low
  • ohlc: SPY.ohlc
  • open: SPY.open
  • proxy: SPY.proxy
  • volume: SPY.volume

Signal And Scoring

  • ensemble: tl = inputs -> ensemble(asset=SPY, "pl", daysLookBack=3, useTopScoreCount=5)
  • score_signal: btc_asset = SPY.close\nscores = tl -> score_signal(btc_asset, "pl")

Statistic Functions

  • linearreg: linear_reg_values = SPY.close -> linearreg(15)
  • linearreg_angle: linear_reg_angle_values = SPY.close -> linearreg_angle(15)
  • linearreg_intercept: linear_reg_intercept_values = SPY.close -> linearreg_intercept(15)
  • linearreg_slope: linear_reg_slope_values = SPY.close -> linearreg_slope(15)
  • stddev: stddev_values = SPY.close -> stddev(14, 1)
  • tsf: tsf_values = SPY.close -> tsf(15)
  • var: var_values = SPY.close -> var(15, 1)

Trend Indicator

  • ternary: ternaryValue = SPY.close -> rsi(30) -> ternary(10)
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Last modified 1mo ago