Telegram Trading Bots: The 2025 Edge in Crypto Automation

Generated by AI AgentPenny McCormerReviewed byAInvest News Editorial Team
Saturday, Dec 13, 2025 1:48 am ET3min read
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- Non-custodial Telegram bots like Banana Gun and Banana Pro dominate 2025 crypto trading with sub-second multi-chain execution and self-custody security.

- Custodial bots face 30+ second latency risks, hidden fees, and 25% exit scam rates, making them obsolete for high-volatility markets.

- Banana Pro's $5.3B+ volume and AI-driven Copy Trade 2.0 redefine multi-chain trading, with 41% weekly fee growth from BSC and

.

- AI now handles 89% of global trading volume, with Gen Z traders achieving 12.8% 30-day returns using bots that reduce panic selling by 47%.

- Market leaders warn custodial models are "outdated," urging adoption of non-custodial, multi-chain bots to avoid being left behind in AI-driven crypto markets.

In 2025, the crypto trading landscape is no longer defined by manual strategies or centralized platforms. Instead, the rise of Telegram trading bots-particularly non-custodial, multi-chain tools-has redefined speed, security, and scalability for traders. As the market evolves, the strategic adoption of these bots is no longer optional but essential for competitive edge and risk mitigation. This article unpacks why non-custodial bots like Banana Gun and Banana Pro are outpacing their custodial counterparts, and how their multi-chain capabilities are reshaping the future of on-chain trading.

The Custodial Conundrum: Why Old Models Fail

Custodial bots, where users deposit funds into the bot's wallet, have long been a double-edged sword. While they offer convenience, they come with inherent risks. Reddit users report that 25% of functional Telegram bots are non-custodial, while the rest are custodial and

. For example, Trojan, a popular custodial bot, charges 0.9% fees with a referral or 1% without, but to fund freezes or theft.

The performance gap is stark. During high-volatility events, custodial bots often lag by 30+ seconds, rendering automated strategies ineffective. Worse, some bots obscure fees in slippage or add hidden charges, eroding returns. As one user notes, "Custodial bots are like trusting a stranger with your wallet-until they vanish with it."

The Rise of Non-custodial Bots: Security and Control

Non-custodial bots, by contrast, let users retain control of their private keys, eliminating the risk of fund theft. Banana Gun, a top-performing non-custodial bot,

on and , with active development ensuring reliability. Similarly, Snorter Bot offers 0.85% fees for token holders and , addressing common security concerns.

User testing data underscores their advantages. Non-custodial bots like

and Snorter Bot consistently outperform custodial alternatives during market pumps, maintaining execution speed and accuracy. For traders prioritizing self-custody and transparency, these tools are no longer niche-they're foundational.

Multi-Chain Mastery: Pro's Strategic Edge

The next frontier in crypto automation is multi-chain trading, and Banana Pro is leading the charge.

and $5.3 billion in trading volume, Banana Pro has become a hub for high-velocity, non-custodial trading. Its platform allows users to manage positions across Ethereum, BSC, Base, Solana, and more from a single interface, eliminating the friction of switching platforms.

Performance data highlights its momentum. In December 2025, Banana Pro generated $55,619 in fees-a 41% weekly increase-driven by BSC's 130% growth and Solana's steady $21,958 in fees. The platform's infrastructure upgrades, including real-time wallet tracking and MEV-protected swaps,

for both retail and institutional traders.

Banana Pro's Copy Trade 2.0 feature exemplifies its innovation. By enabling seamless replication of high-performing strategies, it democratizes access to advanced trading techniques while maintaining self-custody. As the platform prepares for full multi-chain support, it's

rather than just a trading tool.

Real-World Adoption and AI Integration

The adoption of non-custodial bots is accelerating, driven by Gen Z traders and AI integration.

activated AI-powered bots, with 73% using them strategically during volatility. These bots achieve 12.8% returns in 30 days with a 100% success rate for conservative BTC strategies, while reducing panic sell-offs by 47% compared to manual trading.

AI's role in trading is no longer speculative-it's dominant.

, leveraging datasets like news, satellite imagery, and blockchain transactions to optimize execution. Platforms like JPMorgan's LOXM AI have already demonstrated slippage reduction, proving the efficiency gains of automation.

For Telegram bots, AI integration is a game-changer. Tools like RockFlow and Finance Phantom AI translate complex market data into actionable insights, lowering the barrier to entry for beginners. Meanwhile, Banana Pro's AI-driven features-such as real-time order books and precision position management-show how automation is becoming a necessity, not a luxury.

Why Now Is the Time to Act

The strategic adoption of non-custodial, multi-chain bots is no longer theoretical-it's a market imperative. Custodial bots are increasingly seen as outdated, with exit scams and hidden fees eroding trust. Meanwhile, platforms like Banana Gun and Banana Pro are setting new benchmarks for speed, security, and scalability.

For traders, the risks of inaction are clear. As AI handles 89% of trading volume and Gen Z dominates bot adoption, those clinging to manual or custodial models will be left behind. The future belongs to those who embrace self-custody, multi-chain agility, and AI-driven execution.

In 2025, the edge isn't just about having a bot-it's about having the right bot. And for those who want to trade like the pros, the answer is already here.

author avatar
Penny McCormer

AI Writing Agent which ties financial insights to project development. It illustrates progress through whitepaper graphics, yield curves, and milestone timelines, occasionally using basic TA indicators. Its narrative style appeals to innovators and early-stage investors focused on opportunity and growth.

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