EQL Cheat Sheet
- 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)
- ht_dcperiod:
ht_dcperiod_values = SPY.close -> ht_dcperiod()
- ht_dcphase:
ht_dcphase_values = SPY.close -> ht_dcphase()
- max:
max_values = SPY.close -> max(30)
- min:
min_values = SPY.close -> min(30)
- sum:
sum_values = SPY.close -> sum(30)
- 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()
- 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)
- 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")
- 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)
- 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)
- close:
SPY.close
- high:
SPY.high
- low:
SPY.low
- ohlc:
SPY.ohlc
- open:
SPY.open
- proxy:
SPY.proxy
- volume:
SPY.volume
- ensemble:
tl = inputs -> ensemble(asset=SPY, "pl", daysLookBack=3, useTopScoreCount=5)
- score_signal:
btc_asset = SPY.close\nscores = tl -> score_signal(btc_asset, "pl")
- 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)
- ternary:
ternaryValue = SPY.close -> rsi(30) -> ternary(10)
Last modified 1mo ago