Solana trading bot comparison

Bloom logoVSSigma logo

Bloom vs Sigma (Solana)

Updated 2026Feature-based comparisonWorkflow-focused analysis

Quick verdict

  • Platform trading fee: Bloom — 1%; Sigma — 0%.

Bot rating summary

  • Bloom: ★★★★½ 4.8/5 (Excellent)
  • Sigma: ★★★★½ 4.6/5 (Very good)

Feature comparison

Confirmed feature Bloom Sigma
Platform trading fee 1% 0%
Interface languages Not verified Web: English, Chinese; Telegram: English
Limit orders Not verified Yes
Confirmed access surfaces Telegram + Extension Telegram + Web
Copy tradingYesNot verified
Sniping supportYesNot verified
Multiple walletsNot verifiedYes

Fees comparison

Bloom: 1%

Sigma: 0%

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.

Solana launch workflows and order controls

Reviewed 7 October 2026

The Solana bot combines liquidity/migration sniping, wallet copy trading, AFK platform matching and Social tasks. These are different execution workflows: an AFK platform filter does not establish a sniper integration for that launchpad. Partial exits, take profit, stop loss and trailing strategies are documented.

The Solana settings separate buy/sell network fees from validator tips, with Auto Tip and slippage controls. Protected-processor routing is configurable; a protection control does not guarantee a sandwich-free fill. The quote menu offers SOL, USDC and USD1.

Platform fee and transaction costs

Bloom’s standard token buy/sell fee is 1%. Signing up through a referral reduces that platform fee to 0.9%. Network gas, priority fees or validator tips, protocol/DEX costs and bridge fees are separate. Referred cashback is 10% of eligible standard fees; the net result when combined with the discount remains unconfirmed.

Bloom review and setup guide

Open Bloom Solana in Telegram

Review links

Bloom

Invite code: ref_2OO4W19C0G

Read Bloom review

Open Bloom

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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