Helping you choose the best crypto trading tools.

High-frequency trading on decentralized exchanges (DEXs) requires exceptional execution speed to capitalize on market opportunities. In this comparative analysis, we evaluate the performance of two leading trading bots — Blazing App and Sigma Bot — across three blockchain networks: Base, BNB Chain, and Avalanche (Avax) Chain.

Test Results

Base Chain

Blazing App secured the #1 position in 4/6 tests, Sigma Bot took #1 in 2/6 tests

Base test #1

Token: FROC

#1 — Blazing App Block 27295291 (2025–03–07 23:38:49)

#2 — Sigma Bot Block 27296107 (2025–03–08 00:06:01)

Base test #2

Token: Ski Mask Kitten

#1 — Blazing App Block 27295355 (2025–03–07 23:40:57)

#2 — Sigma Bot Block 27295574 (2025–03–07 23:48:15)

Base test #3

Token: Dimes

#1 — Blazing App Block 27296156, Position 10 (2025–03–08 00:07:39)

#2 — Sigma Bot Block 27296156, Position 12 (2025–03–08 00:07:39)

Base test #4

Token: Bemu

#1 — Sigma Bot Block 27296891, Position 2 (2025–03–08 00:32:09)

#2 —Blazing App Block 27296891, Position 3 (2025–03–08 00:32:09)

Base test #5

Token: NATIVE

#1 — Blazing App Block 27298520 (2025–03–08 01:26:27)

#2 — Sigma Bot Block 27298646, Position 8 (2025–03–08 01:30:39)

Base test #6

Token: MOCHI

#1 — Blazing App Block 27300982, Position 3 (2025–03–08 02:48:29)

#2 — Sigma Bot Block 27300982, Position 5 (2025–03–08 02:48:29)

BNB Chain

Sigma Bot #1 in 2/6 tests, while Blazing App secured the #1 spot in 4/6 tests.

BNB test #1

Token: Broccolli

#1 — Blazing App Block 47269586, Position 5 (2025–03–08 02:32:45)

#2 — Sigma Bot Block 47269586, Position 5 (2025–03–08 02:32:45)

BNB test #2

Token: Acet

#1 — Blazing App Block 47274271 (2025–03–08 06:27:00)

Sigma Bot failed to execute the transaction

BNB test #3

Token: RonaldinhoSTAR10

#1 — Sigma Bot Block 47273439, Position 9 (2025–03–08 05:45:24)

#2 — Blazing App Block 47273439, Position 10 (2025–03–08 05:45:24)

BNB test #4

Token: Banana for Scale

#1 — Blazing App Block 47288016 (2025–03–08 17:54:21)

#2 — Sigma Bot Block 47288039, Position 9 (2025–03–08 17:55:30)

BNB test #5

Token: Vita INU

#1 — Sigma Bot Block 47292935, Position 2 (2025–03–08 22:00:18)

#2 — Blazing App Block 47292935, Position 34 (2025–03–08 22:00:18)

BNB test #6

Token: SQV

#1 — Blazing App Block 47293850 (2025–03–08 22:46:03)

#2 — Sigma Bot Block 47294639, Position 2 (2025–03–08 23:25:30)

Avalanche (Avax) Chain

Blazing App ranked 1# in 4/6 tests, while Sigma Bot came in at #1 in 2/6 times.

Avax test #1

Token: WINK

#1 — Blazing App Block 58393428 (2025–03–08 04:14:08)

#2 — Sigma Bot Block 58393680 (2025–03–08 04:20:42)

Avax test #2

Token: BLUB

#1 — Blazing App Block 58394206, Position 0 (2025–03–08 04:35:51)

#2 — Sigma Bot Block 58394206, Position 1 (2025–03–08 04:35:51)

Avax test #3

Token: COQ INU

#1 — Sigma Bot Block 58394134, Position 25 (2025–03–08 04:33:54)

#2 — Blazing App Block 58394136 (2025–03–08 04:33:56)

Avax test #4

Token: BIG

#1 — Sigma Bot Block 58394067 (2025–03–08 04:32:16)

#2 — Blazing App Block 58394069 (2025–03–08 04:32:18)

Avax test #5

Token: Albert

#1 — Blazing App Block 58416148 (2025–03–08 16:10:57)

#2 — Sigma Bot Block 58416326 (2025–03–08 16:16:30)

Avax test #6

Token: Blub

#1 — Blazing App Block 58522802 (Mar-10–2025 05:14:20 PM UTC)

#2 — Sigma Bot Block 58522804 (Mar-10–2025 05:14:22 PM UTC)

Conclusions

1. Blazing App demonstrated better execution speed across all three networks.
2. On Base Chain, Blazing App ranked first in 4/6 tests, with Sigma Bot only taking a higher position once.
3. On BNB Chain, Sigma Bot secured 2 first-place positions, but Blazing App remained dominant with 4.
4. On Avalanche (Avax) Chain, Blazing App outperformed Sigma Bot in 4/6 cases.
5. Blazing App consistently delivers faster and more efficient execution, proving its reliability for high-frequency trading.

This comparison highlights that while Sigma Bot performs competitively in certain scenarios, Blazing App remains the superior choice for traders seeking the fastest execution speeds. Future testing can further explore the performance of these bots under different market conditions and trading strategies.

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