Solana trading bot comparison

Banana Pro logoVSPhoton logo

Banana Pro vs Photon (Solana)

The leading recorded distinction: launchpad coverage.

Updated 2026Feature-based comparisonWorkflow-focused analysis

Quick verdict

Check which entries matter to your workflow: the launchpad coverage lists contain 6 unique to Banana Pro and 1 unique to Photon. A longer list alone does not establish better execution.

Bot rating summary

  • Banana Pro: ★★★★½ 4.9/5 (Excellent)
  • Photon: ★★★★½ 4.9/5 (Excellent)

Feature comparison

Feature Banana Pro Photon
Bot Banana Pro
Review Open
Photon
Review Open
Product description Modular multi-chain trading terminal with fast execution, liquidity and migration sniping, copy trading, multi-chain wallet management, live trenches discovery, and TradingView charting. Ultra-fast Solana web trading terminal with Smart-MEV protection, Jito and bloxroute routing, live pair discovery, Memescope launchpad scanning, multi-wallet trading and advanced quick execution tools.
Active trading chains (product-wide) SOL, ETH, BNB, Base, MegaETH, Robinhood, Stable, HyperEVM, Arc SOL
Interface Web + PWA Web + PWA
Languages English, Chinese Simplified English, Chinese Simplified
Custody model Hybrid Hybrid
Rebate / rewards
Trading fee 1%
Execution focus Speed First
Priority fee control Manual
Slippage control Advanced
MEV protection ✔ Yes
Sniper ✔ Yes
Limit orders ✔ Yes ✔ Yes
Token discovery Integrated Integrated
Copy trading ✔ Yes
Multi-wallet ✔ Yes ✔ Yes
Mobile experience Good Good
Preset support ✔ Yes
Editorial score 4.9/5 4.9/5
Beginner friendly Medium Low
Setup time 5 min 5 min
Official links

Fees comparison

Banana Pro: Not available

Photon: 1%

Trading fees are only part of the real cost. Cashback, referral rewards or discounted fee structures can make one bot more cost-efficient over time depending on how often you trade.

Review links

Banana Pro

Invite code: tradingbots

Read Banana Pro review

Open Banana Pro

Photon

Invite code: Soltrbots

Read Photon review

Open Photon

FAQ

Does an unlisted feature mean it is unsupported?

No. A missing value means the available data does not establish support. It is different from an explicit negative value.

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