This's a performance benchmark for @ixjb94/indicators and Pandas-ta.
DOGEUSDT-4h-2023-10 (October)
Binance Vision
- ops/second
- runes 100 samples
- higher numbers means better
- csv file size: 23kb
- json file size: 69kb
- number of candles: 186
- (Times faster) is compared to @ixjb94/indicators
Example:
ATR => @ixjb94/indicator is 25.18x times faster than Pandas-ta and 2.71x times faster than Tulip Node
Identifier | @ixjb94/indicators | pandas-ta (Times faster) | Tulip node (Times faster) |
---|---|---|---|
ATR | 27049.69 | 1074.29 (25.18 x) | 9967.70 (2.71 x) |
BBAND | 22608.07 | 819.92 (27.57 x) | 13110.28 (1.72 x) |
CCI | 15252.74 | 509.70 (29.92 x) | 11605.24 (1.31 x) |
DC | 11404.20 | 1597.50 (7.14 x) | Not available |
EMA | 59421.24 | 2609.47 (22.77 x) | 25214.32 (2.35 x) |
HMA | 18891.81 | 212.35 (88.97 x) | 25063.91 (0.75 x) |
MACD | 33641.72 | 475.78 (70.71 x) | 12403.72 (2.71 x) |
ROC | 54707.58 | 3638.51 (15.04 x) | 26865.11 (2.03 x) |
RSI | 30360.07 | 857.06 (35.42 x) | 26609.19 (1.14 x) |
SMA | 59733.61 | 4671.15 (12.79 x) | 22757.79 (2.62 x) |
STOCH | 9732.93 | 684.72 (14.21 x) | 9185.60 (1.05 x) |
OS : Windows 10
CPU: Intel Core i7 8700k - 3.70GHz
RAM: 32gb - DDR4
SSD: ADATA SU9000