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SIMD by_assets: 4 Assets Simultaneously

Processes 4 different assets with the same options in a single 256-bit AVX2 f64x4 SIMD pass. Times represent the total wall-time for all 4 assets. All times are nanoseconds (ns); lower is better.

  • Speedup vs Rust - how many times faster SIMD is compared to 4x sequential native Rust calls
  • Speedup vs [binding/library] - how many times faster SIMD is compared to 4x sequential calls of that competitor

Reference libraries: RustTa (bukosabino/ta) and Kand (kand-labs/kand), each called once per asset and summed to give the equivalent 4-asset sequential cost. Kand uses NaN-padding which may affect some indicators.

Indicator SIMD 4-Asset (ns) Speedup vs Rust Speedup vs RustTa Speedup vs Kand
ad 16,266 1.18x --- 1.26x
adaptivemsw 1,785,341 1.18x --- ---
adosc 18,352 1.23x --- 5.33x
adx 21,309 2.01x --- 14.15x
adxr 24,689 2.42x --- 12.50x
ao 14,487 1.50x --- ---
apo 10,305 1.89x --- ---
aroon 76,294 0.98x --- 19.65x
aroonosc 77,794 1.00x --- 19.34x
atr 13,289 1.45x 2.91x 6.86x
avgprice 5,677 1.01x --- ---
bbands 23,726 0.88x --- ---
bop 9,708 1.01x --- 1.18x
ccfisher 275,801 3.31x --- ---
cci 71,967 3.30x --- ---
chaikinmf 20,817 1.38x --- ---
chandelierexit 112,590 0.66x 1.56x ---
cmo 11,736 2.14x --- ---
cvi 13,168 1.58x --- ---
cybercycle 56,695 1.18x --- ---
dema 9,415 2.69x --- 10.08x
di 23,032 2.97x --- 4.33x
dm 18,078 2.20x --- 5.04x
donchianchannel 116,011 0.45x --- ---
dpo 14,045 0.77x --- ---
dx 19,111 1.97x --- 10.96x
ef 10,709 1.46x 9.90x ---
elderray 18,261 1.33x --- ---
ema 9,497 2.02x 3.49x 3.64x
emv 9,728 1.01x --- ---
fisher 178,104 1.09x --- ---
fosc 11,510 0.81x --- ---
highpass 10,395 1.85x --- ---
hilberttransform 24,733 2.31x --- ---
hma 17,334 2.16x --- ---
homodynediscriminator 298,453 2.91x --- ---
ichimoku 402,544 0.69x --- ---
instantaneoustrendline 358,442 2.48x --- ---
kama 12,728 2.34x --- ---
keltnerchannel 26,530 1.03x 1.95x ---
kvo 26,431 1.36x --- ---
linreg 9,885 3.05x --- ---
macd 23,917 1.06x 1.39x 4.93x
mama 256,679 3.43x --- ---
marketfi 12,414 0.79x --- ---
mass 13,436 1.95x --- ---
max 21,430 0.97x 2.65x ---
md 31,794 1.80x 4.64x ---
medprice 3,915 0.89x --- 1.53x
mfi 21,861 1.46x 4.36x 52.76x
min 33,635 0.82x 3.02x ---
mom 3,415 1.05x --- 1.65x
msw 298,731 1.73x --- ---
natr 13,126 1.51x --- 7.84x
nvi 11,288 0.95x --- ---
obv 10,457 1.34x 2.10x 1.44x
ppo 10,403 1.95x 3.19x ---
psar 73,128 0.47x --- 1.00x
pvi 10,631 0.96x --- ---
qstick 10,432 0.99x --- ---
roc 10,429 0.93x 1.18x 1.08x
rocr 10,531 0.93x --- 1.04x
roofingfilter 11,828 3.63x --- ---
rsi 10,442 1.91x 3.18x 9.20x
sma 9,516 1.08x 2.01x 2.13x
smaenvelope 24,671 1.15x --- ---
stddev 15,157 1.00x 2.33x ---
stoch 90,638 0.90x 2.16x 17.96x
stochrsi 134,154 0.57x --- ---
supersmoother 12,154 3.53x --- ---
supertrend 25,150 1.92x --- 7.16x
tema 10,444 2.60x --- 10.75x
tr 5,595 1.00x 5.63x 1.59x
trendmode 251,480 3.49x --- ---
trima 13,096 1.72x --- 3.22x
trix 10,496 2.44x --- 11.14x
trvi 17,567 1.25x --- ---
tsf 10,981 2.41x --- ---
typprice 4,619 0.94x --- 2.43x
ultosc 32,730 1.90x --- ---
vhf 77,292 0.70x --- ---
vidya 38,448 1.27x --- ---
volatility 24,966 1.09x --- ---
vortex 25,523 1.26x --- ---
vosc 14,743 0.98x --- ---
vwap 16,274 0.78x --- 2.16x
vwma 16,507 0.85x --- ---
wad 13,998 1.13x --- ---
wcprice 4,451 0.97x --- 1.54x
wilders 9,255 2.06x --- ---
willr 80,508 0.86x --- 17.85x
wma 9,213 2.15x --- 23.93x
zlema 9,193 2.60x --- ---
Indicator SIMD 4-Asset (ns) Speedup vs Rust Speedup vs C Speedup vs TA-Lib
ad 16,266 1.18x 1.27x 1.26x
adaptivemsw 1,785,341 1.18x --- ---
adosc 18,352 1.23x 2.04x 1.93x
adx 21,309 2.01x 3.12x 7.23x
adxr 24,689 2.42x 2.92x 6.43x
ao 14,487 1.50x 1.35x ---
apo 10,305 1.89x 3.51x 4.18x
aroon 76,294 0.98x 4.29x 2.26x
aroonosc 77,794 1.00x 4.21x 2.07x
atr 13,289 1.45x 3.32x 8.20x
avgprice 5,677 1.01x 1.44x 1.61x
bbands 23,726 0.88x --- ---
bop 9,708 1.01x 1.18x 2.11x
ccfisher 275,801 3.31x --- ---
cci 71,967 3.30x --- ---
chaikinmf 20,817 1.38x --- ---
chandelierexit 112,590 0.66x --- ---
cmo 11,736 2.14x 8.32x ---
cvi 13,168 1.58x 4.44x ---
cybercycle 56,695 1.18x --- ---
dema 9,415 2.69x 2.88x 9.62x
di 23,032 2.97x 1.83x 9.95x
dm 18,078 2.20x 1.55x ---
donchianchannel 116,011 0.45x 2.00x ---
dpo 14,045 0.77x 0.80x ---
dx 19,111 1.97x 1.48x ---
ef 10,709 1.46x --- ---
elderray 18,261 1.33x 3.38x ---
ema 9,497 2.02x 4.64x ---
emv 9,728 1.01x 2.11x ---
fisher 178,104 1.09x 3.03x ---
fosc 11,510 0.81x --- ---
highpass 10,395 1.85x --- ---
hilberttransform 24,733 2.31x --- ---
hma 17,334 2.16x 2.26x ---
homodynediscriminator 298,453 2.91x --- 2.75x
ichimoku 402,544 0.69x --- ---
instantaneoustrendline 358,442 2.48x --- 2.74x
kama 12,728 2.34x 2.75x 3.49x
keltnerchannel 26,530 1.03x --- ---
kvo 26,431 1.36x 1.41x ---
linreg 9,885 3.05x 2.13x ---
macd 23,917 1.06x 2.34x 6.00x
mama 256,679 3.43x --- 3.50x
marketfi 12,414 0.79x 0.91x ---
mass 13,436 1.95x 3.66x ---
max 21,430 0.97x 5.70x 2.73x
md 31,794 1.80x 1.87x ---
medprice 3,915 0.89x 1.54x 1.58x
mfi 21,861 1.46x 2.26x 3.31x
min 33,635 0.82x 6.74x 3.36x
mom 3,415 1.05x 1.72x 1.58x
msw 298,731 1.73x 4.93x ---
natr 13,126 1.51x 3.35x 8.31x
nvi 11,288 0.95x 1.60x ---
obv 10,457 1.34x 1.33x 1.38x
ppo 10,403 1.95x 3.72x 5.65x
psar 73,128 0.47x 0.50x 0.46x
pvi 10,631 0.96x 4.30x ---
qstick 10,432 0.99x 1.17x ---
roc 10,429 0.93x 1.06x 1.96x
rocr 10,531 0.93x 1.05x 1.94x
roofingfilter 11,828 3.63x --- ---
rsi 10,442 1.91x 4.25x 10.04x
sma 9,516 1.08x 1.15x 2.11x
smaenvelope 24,671 1.15x --- ---
stddev 15,157 1.00x 1.96x ---
stoch 90,638 0.90x 4.18x 2.37x
stochrsi 134,154 0.57x 1.29x ---
supersmoother 12,154 3.53x --- ---
supertrend 25,150 1.92x --- ---
tema 10,444 2.60x 2.65x 12.83x
tr 5,595 1.00x 1.59x 1.68x
trendmode 251,480 3.49x --- ---
trima 13,096 1.72x 2.28x 2.28x
trix 10,496 2.44x 4.21x ---
trvi 17,567 1.25x --- ---
tsf 10,981 2.41x 3.40x ---
typprice 4,619 0.94x 1.61x ---
ultosc 32,730 1.90x 2.26x ---
vhf 77,292 0.70x 4.05x ---
vidya 38,448 1.27x 2.01x ---
volatility 24,966 1.09x 2.92x ---
vortex 25,523 1.26x --- ---
vosc 14,743 0.98x 1.40x ---
vwap 16,274 0.78x --- ---
vwma 16,507 0.85x 1.24x ---
wad 13,998 1.13x 1.45x ---
wcprice 4,451 0.97x 1.70x ---
wilders 9,255 2.06x 4.76x ---
willr 80,508 0.86x 4.29x 2.02x
wma 9,213 2.15x 3.77x 2.22x
zlema 9,193 2.60x 3.77x ---

Reference libraries: ta (bukosabino/ta) and pandas_ta (twopirllc/pandas-ta), each called once per asset and summed to give the equivalent 4-asset sequential cost.

Indicator SIMD 4-Asset (ns) Speedup vs tulip_rs_python Speedup vs ta Speedup vs pandas_ta
ad 21,349 1.04x 29.23x ---
adaptivemsw 1,749,595 1.22x --- ---
adosc 26,119 1.03x --- ---
adx 38,458 2.44x 2247.31x 356.58x
adxr 33,943 2.68x --- ---
ao 19,973 1.49x 38.13x 43.36x
apo 15,504 1.74x --- 36.28x
aroon 110,379 1.26x 376.00x 459.82x
aroonosc 84,327 1.57x --- 604.36x
atr 18,725 2.79x 2435.18x 203.32x
avgprice 10,566 1.00x --- 20.28x
bbands 42,803 1.34x 22.33x 52.39x
bop 12,027 1.91x --- 62.79x
ccfisher 407,977 2.26x --- ---
cci 74,580 4.99x 1384.85x 1177.74x
chaikinmf 24,363 1.69x 45.78x 54.30x
chandelierexit 116,929 1.12x --- 59.60x
cmo 17,001 1.92x --- 130.66x
cvi 26,142 1.09x --- ---
cybercycle 62,003 1.11x --- ---
dema 21,694 1.42x 24.71x 52.95x
di 42,898 3.98x --- 196.12x
dm 42,069 2.29x --- 200.64x
donchianchannel 102,738 0.65x 10.63x 15.85x
dpo 15,876 0.79x 31.21x 36.65x
dx 31,029 3.57x --- 439.51x
ef 29,926 0.84x --- 20.62x
elderray 20,662 1.66x --- 58.41x
ema 16,430 1.47x 14.01x 28.95x
emv 12,270 2.55x 57.94x 108.33x
fisher 289,797 1.13x --- 108.48x
fosc 14,902 2.33x --- ---
highpass 15,866 1.65x --- ---
hilberttransform 31,188 2.45x --- ---
hma 27,371 2.93x 1492.80x 89.54x
homodynediscriminator 324,236 2.74x --- ---
ichimoku 425,758 0.89x --- 12.90x
instantaneoustrendline 386,210 2.31x --- 3.66x
kama 23,354 3.18x 661.37x 1787.83x
keltnerchannel 39,856 2.09x 42.12x 127.74x
kvo 38,239 2.04x --- 124.48x
linreg 28,105 3.30x --- 2459.66x
macd 49,404 1.89x 15.98x 65.38x
mama 260,644 3.44x --- 4.18x
marketfi 23,926 0.63x --- ---
mass 28,446 1.08x 29.62x 68.77x
max 47,572 0.71x --- ---
md 46,579 3.16x --- 1864.92x
medprice 5,600 1.03x --- 23.20x
mfi 27,176 1.54x 4376.75x 28.98x
min 46,022 1.00x --- ---
mom 7,756 0.69x 10.46x 14.19x
msw 177,770 2.99x --- ---
natr 31,461 2.10x --- 136.55x
nvi 12,087 3.09x 21824.36x 240.90x
obv 26,178 0.65x 17.90x 55.59x
ppo 17,906 2.01x 51.56x 106.63x
psar 77,770 1.28x 10234.82x 254.21x
pvi 15,538 1.41x --- 73.95x
qstick 28,451 0.69x --- ---
roc 13,958 1.85x 30.31x 9.66x
rocr 14,333 2.47x --- 12.84x
roofingfilter 22,836 2.58x --- ---
rsi 15,786 1.88x 121.05x 127.10x
sma 32,027 0.53x 9.26x 45.54x
smaenvelope 47,609 0.87x --- ---
stddev 16,741 1.93x --- 33.52x
stoch 100,000 1.24x 11.98x 40.18x
stochrsi 126,157 1.25x 28.82x 34.79x
supersmoother 15,280 2.98x --- 10.70x
supertrend 36,713 3.27x --- 4811.28x
tema 17,047 2.12x 50.49x 97.97x
tr 34,219 0.96x --- 90.36x
trendmode 253,897 3.47x --- ---
trima 16,847 1.73x --- 25.99x
trix 23,418 2.81x 52.42x 130.73x
trvi 21,071 1.23x --- ---
tsf 14,372 4.70x --- 4857.15x
typprice 6,864 1.00x --- 26.40x
ultosc 33,208 2.59x 196.07x 234.50x
vhf 99,818 0.64x --- 19.72x
vidya 45,142 1.80x --- 7326.49x
volatility 32,777 1.65x --- 17.41x
vortex 55,011 1.46x 67.00x 92.30x
vosc 17,941 1.35x --- ---
vwap 32,648 1.03x --- 165.89x
vwma 32,955 0.89x --- 24.60x
wad 18,097 1.37x --- ---
wcprice 6,712 1.42x --- 29.19x
wilders 14,007 1.67x --- 18.84x
willr 89,824 0.92x 13.31x 15.12x
wma 14,309 1.70x 943.03x 59.26x
zlema 13,660 2.54x --- 66.54x

Reference libraries: technicalindicators (anandanand84/technicalindicators) and indicatorts (Onur Cinar/indicatorts), each called once per asset and summed to give the equivalent 4-asset sequential cost.

Indicator SIMD 4-Asset (ns) Speedup vs tulip_rs_node Speedup vs technicalindicators Speedup vs indicatorts
ad 78,544 0.50x 11.30x 2.35x
adaptivemsw 1,982,918 1.09x --- ---
adosc 38,378 1.00x --- ---
adx 41,344 1.34x 129.19x ---
adxr 46,119 1.80x --- ---
ao 45,479 0.81x 109.47x 3.11x
apo 30,510 1.05x --- 6.03x
aroon 142,786 0.81x --- 20.96x
aroonosc 131,531 0.78x --- ---
atr 29,751 1.18x 56.58x 36.25x
avgprice 27,057 1.08x --- ---
bbands 93,447 0.87x 268.13x 12.75x
bop 26,270 0.93x --- 2.71x
ccfisher 415,190 2.27x --- ---
cci 112,221 3.19x 172.12x 2.36x
chaikinmf 37,410 1.38x --- 5.86x
chandelierexit 135,786 0.78x --- 29.86x
cmo 27,706 1.40x --- ---
cvi 30,955 1.09x --- ---
cybercycle 79,091 0.96x --- ---
dema 24,464 1.30x --- 7.59x
di 73,882 1.47x --- ---
dm 49,712 1.36x --- ---
donchianchannel 131,020 0.63x --- 24.80x
dpo 23,790 0.96x --- ---
dx 36,151 1.36x --- ---
ef 27,465 1.01x --- ---
elderray 56,110 1.18x --- ---
ema 26,911 1.13x 22.03x 2.98x
emv 30,095 0.85x --- 7.82x
fisher 290,518 1.02x --- ---
fosc 31,858 1.39x --- ---
highpass 25,192 1.07x --- ---
hilberttransform 57,088 1.61x --- ---
hma 38,158 1.12x --- ---
homodynediscriminator 317,146 2.80x --- ---
ichimoku 490,250 0.72x 35.17x ---
instantaneoustrendline 380,345 2.39x --- ---
kama 25,756 1.45x --- ---
keltnerchannel 77,272 0.93x --- 14.87x
kvo 43,757 1.11x --- ---
linreg 27,662 1.38x --- ---
macd 97,883 0.73x 25.07x 2.48x
mama 277,456 3.31x --- ---
marketfi 25,064 0.93x --- ---
mass 30,183 1.30x --- ---
max 36,312 1.19x --- 62.34x
md 56,809 1.29x --- ---
medprice 24,571 0.90x --- ---
mfi 37,805 1.37x 214.71x 27.60x
min 60,540 1.00x --- 33.58x
mom 23,222 0.85x --- ---
msw 236,446 2.36x --- ---
natr 32,397 1.07x --- ---
nvi 30,793 0.74x --- 3.51x
obv 32,409 0.77x 24.99x 2.42x
ppo 30,262 1.11x --- 10.45x
psar 82,427 0.63x 11.10x 2.23x
pvi 23,228 1.02x --- ---
qstick 26,794 0.92x --- 2.29x
roc 28,640 0.88x 88.89x 1.85x
rocr 26,438 0.79x --- ---
roofingfilter 31,278 1.63x --- ---
rsi 28,654 1.07x 129.19x 14.86x
sma 29,364 0.95x 60.87x 1.56x
smaenvelope 59,080 1.17x --- ---
stddev 29,077 1.29x --- ---
stoch 172,652 0.81x 40.58x 13.85x
stochrsi 156,845 0.62x 95.91x ---
supersmoother 25,048 2.11x --- ---
supertrend 42,568 1.47x --- ---
tema 32,229 1.15x --- 9.82x
tr 31,474 0.75x --- 30.05x
trendmode 271,804 3.29x --- ---
trima 27,407 1.13x --- 3.17x
trix 32,872 1.23x 91.18x 9.13x
trvi 36,471 1.07x --- ---
tsf 27,003 1.44x --- ---
typprice 26,669 0.93x --- 2.65x
ultosc 46,316 1.67x --- ---
vhf 141,932 0.40x --- ---
vidya 53,904 1.12x --- ---
volatility 49,030 1.14x --- ---
vortex 69,288 1.19x --- 18.58x
vosc 27,709 1.08x --- ---
vwap 30,431 1.12x 39.47x ---
vwma 28,617 1.25x --- 4.41x
wad 30,349 0.96x --- ---
wcprice 26,767 0.99x --- ---
wilders 26,883 1.12x 21.16x 5.97x
willr 118,300 0.67x 55.20x 28.63x
wma 25,913 1.50x 564.47x ---
zlema 21,586 1.43x --- ---

Competitors: C_tulip (Tulip Indicators) and TA-Lib, each called once per asset and summed to give the equivalent 4-asset sequential cost; the tulip_rs_ffi_c column folds in the same binding's own 4 sequential calls as the SIMD speedup baseline.

Indicator SIMD 4-Asset (ns) Speedup vs tulip_rs_ffi_c Speedup vs C Speedup vs TA-Lib
ad 16,128 4.77x 4.71x 4.72x
adaptivemsw 1,744,942 4.86x --- ---
adosc 17,159 1.32x 2.09x 1.99x
adx 21,169 2.04x 1.88x 7.21x
adxr 25,370 2.12x 2.07x 6.19x
ao 13,256 6.79x 5.46x ---
apo 9,706 2.01x 3.58x 4.27x
aroon 75,769 0.90x 4.24x 2.04x
aroonosc 83,020 0.96x 3.95x 1.74x
atr 13,009 1.48x 3.27x 8.23x
avgprice 5,859 3.87x 3.76x 4.59x
bbands 39,222 0.74x 0.73x 1.99x
bop 9,906 3.94x 3.86x 7.68x
ccfisher 287,813 4.77x --- ---
cci 72,282 4.38x 4.09x 6.19x
chaikinmf 20,790 1.84x --- ---
chandelierexit 104,451 0.66x --- ---
cmo 11,896 2.29x 2.22x 8.71x
cvi 12,476 1.56x 4.52x ---
cybercycle 55,974 4.76x --- ---
dema 9,212 2.52x 2.79x 9.68x
di 23,427 3.02x 1.68x 9.73x
dm 17,420 2.07x 1.38x ---
donchianchannel 168,582 0.31x 1.16x ---
dpo 10,864 0.92x 0.89x ---
dx 19,403 2.02x 1.55x 7.81x
ef 10,951 1.76x --- ---
elderray 18,122 1.34x 2.36x ---
ema 9,422 2.04x 4.53x 4.52x
emv 10,004 0.98x 1.92x ---
fisher 277,589 0.88x 1.12x ---
fosc 11,586 2.84x 3.23x ---
highpass 10,003 1.93x --- ---
hma 17,538 1.97x 2.15x ---
ichimoku 534,046 0.55x --- ---
kama 12,703 2.20x 2.64x 3.37x
keltnerchannel 77,000 0.35x --- ---
kvo 26,378 1.38x 1.35x ---
linreg 10,422 2.79x 3.41x 21.87x
macd 74,099 0.34x 0.67x 1.86x
mama 256,812 3.42x --- 3.49x
marketfi 12,684 3.07x 3.01x ---
mass 12,951 1.76x 3.66x ---
max 29,255 0.82x 2.75x 1.44x
md 35,023 1.79x 1.81x ---
medprice 4,091 0.87x 0.82x 0.86x
mfi 22,336 1.55x 2.12x 1.76x
min 39,550 0.65x 2.77x 1.48x
mom 3,537 0.90x 0.84x 0.87x
msw 172,265 3.01x 15.47x ---
natr 13,040 1.73x 3.26x 8.20x
nvi 10,508 1.02x 1.40x ---
obv 9,908 1.44x 2.67x 1.56x
pivotpoint 457 0.77x --- ---
ppo 10,470 2.11x 3.55x 5.43x
psar 57,526 0.88x 0.95x 0.79x
pvi 10,559 1.04x 1.37x ---
qstick 10,703 0.98x 0.95x ---
roc 10,406 0.93x 0.91x 1.82x
rocr 10,294 0.94x 0.92x 1.83x
roofingfilter 11,792 3.65x --- ---
rsi 10,348 2.07x 4.73x 9.98x
sma 9,982 0.99x 0.94x 1.88x
smaenvelope 24,102 1.14x --- ---
stddev 15,225 1.89x 1.87x 4.36x
stoch 92,919 0.93x 3.95x 2.30x
stochrsi 135,456 0.57x 1.00x 1.48x
supersmoother 12,702 3.38x --- ---
supertrend 25,209 1.89x --- ---
tema 9,211 2.95x 2.86x 14.37x
tr 5,785 0.96x 0.99x 1.32x
trendmode 250,617 5.30x --- ---
trima 13,051 1.65x 2.18x 2.18x
trix 10,599 2.55x 4.02x 13.74x
trvi 15,715 1.47x --- ---
tsf 10,753 2.58x 3.38x 21.48x
typprice 4,783 0.99x 1.04x 1.99x
ultosc 30,845 2.01x 2.00x 5.92x
vhf 93,624 0.57x 2.12x ---
vidya 38,960 1.23x 1.94x ---
volatility 24,990 1.94x 2.86x ---
vortex 24,631 1.29x --- ---
vosc 13,578 1.42x 1.41x ---
vwap 16,158 4.76x --- ---
vwma 16,298 1.18x 1.16x ---
wad 14,165 4.29x 5.22x ---
wcprice 4,775 4.01x 4.19x ---
wilders 9,591 2.00x 4.43x ---
willr 80,915 0.71x 4.09x 2.06x
wma 9,338 2.06x 3.56x 2.04x
zlema 9,466 2.53x 3.50x ---

Reference: cinar/indicator/v2 (pure Go), called once per asset and summed to give the equivalent 4-asset sequential cost; the tulip_rs_go column folds in the binding's own 4 sequential calls as the SIMD speedup baseline. cinar is only compared where param-compatible.

Indicator SIMD 4-Asset (ns) Speedup vs tulip_rs_go Speedup vs cinar
ad 20,414 1.07x 1782.15x
adaptivemsw 1,774,221 1.19x ---
adosc 23,652 1.12x 3917.51x
adx 26,695 1.76x ---
adxr 30,170 1.92x ---
ao 16,109 1.58x 5606.49x
apo 13,540 1.61x 1525.03x
aroon 107,753 0.66x 512.18x
aroonosc 86,796 0.97x ---
atr 18,288 1.19x 3677.33x
avgprice 10,961 0.70x ---
bbands 85,958 0.46x 923.22x
bop 16,215 0.77x 1835.70x
ccfisher 305,619 3.00x ---
cci 79,060 4.05x 1675.29x
chaikinmf 30,183 1.35x 2998.97x
chandelierexit 146,298 0.50x 648.17x
cmo 17,931 1.66x ---
cvi 17,260 1.32x ---
cybercycle 64,409 1.08x ---
dema 14,599 1.76x 4006.81x
di 58,401 1.32x ---
dm 48,427 0.80x ---
donchianchannel 161,777 0.35x 465.53x
dpo 17,508 0.71x 4333.38x
dx 26,546 1.61x ---
ef 16,624 1.31x ---
elderray 54,514 0.55x 1189.11x
ema 13,895 1.56x 941.41x
emv 14,829 0.85x 6331.26x
fisher 322,807 0.80x 418.10x
fosc 17,533 2.02x ---
highpass 15,486 1.40x ---
hilberttransform 59,434 1.01x ---
hma 21,641 1.72x 3412.25x
homodynediscriminator 303,174 2.88x ---
ichimoku 556,878 0.55x ---
instantaneoustrendline 366,879 2.42x ---
kama 18,402 1.66x 6341.97x
keltnerchannel 85,889 0.39x ---
kvo 33,270 1.23x ---
linreg 16,469 1.91x ---
macd 85,076 0.38x ---
mama 287,729 3.07x ---
marketfi 19,793 0.62x ---
mass 16,877 1.57x ---
max 35,909 0.74x 1409.87x
md 40,005 1.63x ---
medprice 6,262 1.05x ---
mfi 28,463 1.37x 3441.48x
min 42,743 0.67x 1038.06x
mom 5,539 1.06x ---
msw 234,590 2.24x ---
natr 17,803 1.41x ---
nvi 14,911 0.90x 5922.97x
obv 16,308 1.03x 1415.63x
pivotpoint 3,371 0.87x ---
ppo 13,799 1.78x 6590.74x
psar 60,753 0.76x ---
pvi 15,030 0.89x ---
qstick 12,500 1.04x 5006.63x
roc 14,481 0.83x 1008.60x
rocr 13,421 0.91x ---
roofingfilter 15,110 3.01x ---
rsi 14,243 1.69x 6263.51x
sma 14,543 0.85x 2998.84x
smaenvelope 82,586 0.41x 969.94x
stddev 17,251 1.80x 1966.87x
stoch 100,611 0.90x 728.38x
stochrsi 142,194 0.57x ---
supersmoother 15,669 2.90x ---
supertrend 30,131 1.79x 4661.85x
tema 14,004 2.12x 7501.81x
tr 8,396 1.00x 5119.43x
trendmode 251,923 3.51x ---
trima 16,510 1.45x 4172.96x
trix 14,252 2.06x 5906.43x
trvi 20,149 1.31x ---
tsf 14,363 2.10x ---
typprice 6,899 1.00x 5895.92x
ultosc 33,283 1.93x 4075.84x
vhf 97,555 0.58x ---
vidya 41,077 1.24x ---
volatility 27,377 1.87x ---
vortex 32,092 1.12x ---
vosc 15,536 1.40x ---
vwap 19,428 1.12x ---
vwma 18,312 1.19x 4303.34x
wad 17,593 1.02x ---
wcprice 6,643 1.02x 4864.15x
wilders 13,165 1.65x 583.24x
willr 84,859 0.72x 1159.09x
wma 14,582 1.48x 1260.15x
zlema 13,727 1.93x ---
Notable results - by_assets

66 of 93 indicators (71%) show a SIMD speedup over 4x sequential calls. Median speedup for benefiting indicators: ~1.83x.

Category Indicator SIMD Speedup
Top performers roofingfilter 3.63x
Top performers supersmoother 3.53x
Top performers trendmode 3.49x
Top performers mama 3.43x
Top performers ccfisher 3.31x
Top performers cci 3.30x
Top performers linreg 3.05x
Top performers di 2.97x
Top performers homodynediscriminator 2.91x
Top performers dema 2.69x
SIMD slower than sequential donchianchannel 0.45x
SIMD slower than sequential psar 0.47x
SIMD slower than sequential stochrsi 0.57x
SIMD slower than sequential chandelierexit 0.66x
SIMD slower than sequential ichimoku 0.69x

Indicators where SIMD is slower typically involve highly sequential computation or irregular memory access patterns where SIMD setup overhead dominates the batched competitor's own per-call cost.

75 of 93 indicators (81%) show a SIMD speedup over 4x sequential calls. Median speedup for benefiting indicators: ~1.89x.

Category Indicator SIMD Speedup
Top performers cci 4.99x
Top performers tsf 4.70x
Top performers di 3.98x
Top performers dx 3.57x
Top performers trendmode 3.47x
Top performers mama 3.44x
Top performers linreg 3.30x
Top performers supertrend 3.27x
Top performers kama 3.18x
Top performers md 3.16x
SIMD slower than sequential sma 0.53x
SIMD slower than sequential marketfi 0.63x
SIMD slower than sequential vhf 0.64x
SIMD slower than sequential donchianchannel 0.65x
SIMD slower than sequential obv 0.65x

Indicators where SIMD is slower typically involve highly sequential computation or irregular memory access patterns where SIMD setup overhead dominates the batched competitor's own per-call cost.

59 of 93 indicators (63%) show a SIMD speedup over 4x sequential calls. Median speedup for benefiting indicators: ~1.29x.

Category Indicator SIMD Speedup
Top performers mama 3.31x
Top performers trendmode 3.29x
Top performers cci 3.19x
Top performers homodynediscriminator 2.80x
Top performers instantaneoustrendline 2.39x
Top performers msw 2.36x
Top performers ccfisher 2.27x
Top performers supersmoother 2.11x
Top performers adxr 1.80x
Top performers ultosc 1.67x
SIMD slower than sequential vhf 0.40x
SIMD slower than sequential ad 0.50x
SIMD slower than sequential stochrsi 0.62x
SIMD slower than sequential donchianchannel 0.63x
SIMD slower than sequential psar 0.63x

Indicators where SIMD is slower typically involve highly sequential computation or irregular memory access patterns where SIMD setup overhead dominates the batched competitor's own per-call cost.

64 of 91 indicators (70%) show a SIMD speedup over 4x sequential calls. Median speedup for benefiting indicators: ~2.05x.

Category Indicator SIMD Speedup
Top performers ao 6.79x
Top performers trendmode 5.30x
Top performers adaptivemsw 4.86x
Top performers ccfisher 4.77x
Top performers ad 4.77x
Top performers cybercycle 4.76x
Top performers vwap 4.76x
Top performers cci 4.38x
Top performers wad 4.29x
Top performers wcprice 4.01x
SIMD slower than sequential donchianchannel 0.31x
SIMD slower than sequential macd 0.34x
SIMD slower than sequential keltnerchannel 0.35x
SIMD slower than sequential ichimoku 0.55x
SIMD slower than sequential stochrsi 0.57x

Indicators where SIMD is slower typically involve highly sequential computation or irregular memory access patterns where SIMD setup overhead dominates the batched competitor's own per-call cost.

62 of 94 indicators (66%) show a SIMD speedup over 4x sequential calls. Median speedup for benefiting indicators: ~1.60x.

Category Indicator SIMD Speedup
Top performers cci 4.05x
Top performers trendmode 3.51x
Top performers mama 3.07x
Top performers roofingfilter 3.01x
Top performers ccfisher 3.00x
Top performers supersmoother 2.90x
Top performers homodynediscriminator 2.88x
Top performers instantaneoustrendline 2.42x
Top performers msw 2.24x
Top performers tema 2.12x
SIMD slower than sequential donchianchannel 0.35x
SIMD slower than sequential macd 0.38x
SIMD slower than sequential keltnerchannel 0.39x
SIMD slower than sequential smaenvelope 0.41x
SIMD slower than sequential bbands 0.46x

Indicators where SIMD is slower typically involve highly sequential computation or irregular memory access patterns where SIMD setup overhead dominates the batched competitor's own per-call cost.