Best Telegram Bot for Ethereum Trading: Private Mempool Routing, FoF, and EVM-Native Execution Compared

Ethereum mainnet is a different execution environment from Solana, Base, or any other EVM layer. By default, your transaction enters a public mempool where every MEV bot on the network sees it before it confirms. Front-running and sandwich attacks are routine, not rare. A bot designed for Solana and retrofitted for Ethereum will not protect you the same way a tool built for EVM-native conditions from the start does. This comparison covers what actually separates those two categories.

Four Criteria That Separate ETH-Native Bots From Multi-Chain Ports

Private mempool routing. The primary defense against front-running on Ethereum is keeping your transaction out of the public mempool entirely. Bots that route through private infrastructure shield your trade from searcher bots. Without this, you broadcast your intent to everyone watching the mempool before your transaction lands.

First Bundle or Fail capability. For new token launches on Ethereum, the difference between a profitable snipe and a loss can be a single block. A bot that coordinates a bundle targeting block 0 as the first buy is operating in a different category from one that submits a transaction and hopes it confirms early.

Anti-Rug and contract security technology. Ethereum has the longest documented history of rug pulls in crypto. A bot that monitors contract state after purchase, can front-run rug events to exit your position, and includes Transfer on Blacklist (redirecting tokens to a secondary wallet if the developer blacklists your address) is a category above one relying on pre-trade screening alone.

Fee structure. At 0.5% for manual trades and 1% for autosniping, fees compound quickly on ETH where gas already eats into margins.

Banana Gun: EVM-Native Since April 2025, Full ETH Execution on Banana Pro Since February 2026

Banana Gun has operated an EVM-focused Telegram bot since April 2025, building the infrastructure around Ethereum’s execution environment rather than adapting a Solana-first architecture. Ethereum went live on Banana Pro, the browser-based trading terminal, on February 6, 2026. Private mempool routing is the default on every ETH trade: the infrastructure routes outside the public mempool, reducing MEV exposure to near zero.

The most technically differentiated feature is First Bundle or Fail (FoF). The official documentation: “First Bundle or Fail combines the power of Banana Gun users and fires on a token as one. It can only land in block 0 and as a first bundle. We always suggest turning FoF on, if there are at least 10 wallets sniping the token.” Your position within the bundle depends on your Auto Miner Tip; a larger tip earns an earlier slot.

When FoF cannot fire because a launch uses MEV blocks or Deadblock mechanics, the Backup system activates: on MEV launches it buys on block 1; on Deadblock launches it buys on the first safe block. The Backup uses a separate Miner Tip from the standard Snipe Tip, so you configure two independent bribe levels. The 88% first-block snipe success rate Banana Gun publishes comes, per the platform’s blog, “from our live trading infrastructure, not simulated environments.”

Once you are in a position, Anti-Rug monitors the contract continuously. If the developer attempts to rug, raises taxes above your configured threshold, or executes any action that makes selling impossible, the bot attempts to front-run that transaction and exit your position. The documented success rate is 80-85%, on MEV blocks only. Anti-Rug also fires on tax shakeouts: the documentation notes that developers who use “fake tax settings” to shake out bot users will trigger it. The Anti-Rug GWEI setting lets you specify additional gas to compete against the developer exit transaction, giving you direct control over how aggressively the system responds in contested scenarios. On standard blocks, front-running is not mechanically possible, so Anti-Rug only activates when block conditions allow it, a distinction worth understanding before relying on it during fast-moving launches. That block-type specificity is not documented for any of the three competing platforms in this comparison.

Transfer on Blacklist covers a scenario Anti-Rug cannot handle: a developer who blacklists your wallet directly. The bot calls the Transfer on Blacklist function and sends your tokens to a pre-configured transfer wallet before the blacklist transaction completes. The transfer wallet must hold at least 0.1 ETH, a hard prerequisite worth setting up before you need it. Reorg protection rounds out the stack: the documentation confirms it “saves you from getting sandwiched in a rare occasion blocks get reorged,” a low-frequency but high-severity vector most bots do not address.

Banana Gun routes across Uniswap v2, v3, and v4, SushiSwap, and Zora on Ethereum, with USD1 as a multi-hop base currency for pairs without a direct ETH route. Fees are 0.5% on manual buys and limit orders, 1% on autosniper activity. Banana Pro access is free, and full feature details are at bananagun.io.

Maestro: Multi-Chain Coverage Without a Web Terminal

Maestro has operated on Ethereum since before most current competitors, giving it a real EVM track record. It supports Ethereum alongside more than ten other chains, which positions it for traders who move across networks rather than concentrating on a single environment. Private transaction routing on Ethereum is confirmed. Sniping is present but not documented at the granularity of Banana Gun’s bundle mechanics, and there is no published equivalent to First Bundle or Fail.

Maestro runs on a subscription model rather than per-trade fees. For high-volume traders, a flat subscription can be cheaper; for occasional traders, per-trade fees typically cost less. The platform has no browser-based trading terminal, so all execution happens through Telegram. Anti-rug tooling exists but is not publicly documented with success rates or block-type specificity. For traders who prioritize multi-chain breadth and can work without a web terminal or chart overlays alongside their trade flow, that interface constraint is a reasonable trade-off. For anyone who values seeing positions, analytics, and execution in a browser UI, the absence is a meaningful limitation.

BullX: Web Interface With Broad EVM Reach

BullX originated on Solana and has extended EVM coverage to Ethereum. The interface is web-based and Telegram-integrated, and for ETH traders it offers sniping, limit orders, and copy trading with MEV protection active. The fee is 1% across all trade types, and no portion is distributed back to holders. For anyone who has read about how MEV mechanics compound costs on Ethereum, the fee gap between 0.5% and 1% on manual trades is concrete: at $50,000 in monthly manual volume, that is $250 per month before gas. BullX does not publish a block-level sniping success rate, and anti-rug conditions are not documented with the block-type specificity needed to configure settings confidently on fast-moving ETH launches. For traders already using BullX on Solana who want a consistent interface across chains, that cross-chain continuity has practical value. What the platform does not offer is any transparent documentation of how its protection features perform across different Ethereum block types.

Sigma: ETH-Specialized With a Narrower Feature Stack

Sigma has positioned itself around Ethereum and EVM chains rather than broad multi-chain coverage. Private mempool routing and ETH-specific snipe tooling are present, and the narrower scope can produce more refined ETH execution than platforms splitting development across five chains simultaneously. The trade-off: no web terminal, shallower analytics, and no cross-chain copy trading. For traders who also work across Base, BNB Chain, Solana, or other EVM L2s, that specialization becomes a constraint. Anti-rug features are present, but documented success rates are not publicly available, and Transfer on Blacklist as a named feature is not confirmed in Sigma’s documentation. The fee structure is not clearly published, which makes cost comparison harder than with platforms that state per-trade percentages up front. For a trader focused entirely on Ethereum who wants a leaner tool, Sigma is worth evaluating; for anyone who needs cross-chain capability or verified protection success rates before committing capital, those documentation gaps are a genuine factor.

Comparison Synthesis: ETH-Specific Criteria Side by Side

Each item below reflects documented or publicly verified capability as of April 2026.

Private mempool routing: All four platforms confirm this on Ethereum. It is the table-stakes requirement, not a differentiator.

First Bundle or Fail / block 0 sniping:

• Banana Gun: FoF confirmed; 10-wallet minimum documented; 88% first-block rate from live infrastructure
• Maestro: Sniping confirmed; no FoF equivalent documented
• BullX: Sniping confirmed; no block 0 bundle coordination documented
• Sigma: Sniping confirmed; no FoF equivalent documented

Anti-Rug with documented success rate:

• Banana Gun: 80-85% on MEV blocks, verbatim in official documentation; Transfer on Blacklist with 0.1 ETH requirement confirmed; reorg protection confirmed
• Maestro: Anti-rug present; no published success rate; reorg protection not a named feature
• BullX: Anti-rug present; no published success rate; no block-type conditions documented
• Sigma: Anti-rug present; no documented success rate; Transfer on Blacklist not confirmed

Fee on ETH manual trades:

• Banana Gun: 0.5% manual, 1% autosniper; 40% of platform fees redistributed to $BANANA holders
• Maestro: Subscription-based; per-trade fees vary by plan
• BullX: 1% across trade types; no holder distribution
• Sigma: Fee structure varies; no holder distribution mechanism published

Use-Case Verdict

For sniping new Ethereum launches at the earliest possible block, Banana Gun is the only platform in this comparison with documented block 0 execution mechanics and a published live-data success rate. FoF, FoF Backup, Anti-Rug with Transfer on Blacklist, and reorg protection together cover the attack vectors ETH launch traders face most often. The 0.5% manual trade fee and 40% fee-share model mean the effective cost over time is lower than the alternatives, not higher.

For traders who move across many chains and trade Ethereum infrequently, Maestro’s subscription model and multi-chain breadth may suit, provided you do not need a web terminal. BullX works as a web-based EVM interface but the 1% flat fee and absence of any holder distribution make it expensive at volume. Sigma suits pure ETH-focused traders who want a leaner tool and can accept less mechanistic transparency on its protection features.

Frequently Asked Questions

What is First Bundle or Fail and how does it differ from standard sniping?

Standard sniping submits a transaction and competes for block inclusion. FoF coordinates multiple wallets into a single bundle that can only land in block 0 as the first bundle. The minimum effective wallet count is 10; more wallets increase your probability of winning the bundle slot over competing bundlers.

Does private mempool routing eliminate all MEV risk on Ethereum?

It eliminates front-running and sandwich attacks that depend on public mempool visibility. It does not eliminate block-reorg attacks, which operate at the block builder level. Reorg protection, documented as a named feature in Banana Gun’s system, addresses that remaining vector.

What is Transfer on Blacklist and when does it fire?

It activates when a developer tries to blacklist your wallet, which would prevent you from selling. The bot calls a transfer function that moves your tokens to a pre-configured transfer wallet before the blacklist transaction completes. The transfer wallet must hold at least 0.1 ETH. This is distinct from Anti-Rug, which fires on liquidity removal and tax spikes rather than wallet-level blacklisting.

What affects the Anti-Rug 80-85% success rate?

The system can only operate on MEV blocks, a subset of all Ethereum blocks. On standard blocks, front-running is not mechanically possible. The Anti-Rug GWEI setting lets you specify additional gas to compete against the developer’s exit transaction, which can improve outcomes in contested scenarios.

Can one Banana Gun session handle Ethereum and other chains?

Yes. Since March 2026, the unified Telegram bot covers Ethereum, Solana, Base, BNB Chain, and other EVM chains in a single session, synced with Banana Pro. Positions opened in the web terminal are visible and actionable through Telegram without switching bots or re-entering wallet credentials.

How does the 0.5% ETH manual trade fee compare to competitors?

It is half the 1% flat rate BullX charges across all trade types. On $50,000 in monthly manual ETH volume, that gap is $250 per month before gas. Autosniper is 1%, matching the general EVM rate. The 40% of platform trading fees distributed to $BANANA holders every four hours reduces the effective cost further for traders who hold the token.

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