🎉 GMGN OpenAPI Rate Limit Update — Throughput Doubled! 🚀 Effective immediately (2026-05-13), we've upgraded the limits across ALL modules. Leaky-bucket just got a major boost: From rate=10/capacity=10 → rate=20/capacity=20 That means you can now fire twice as many requests per second as before! New sustained throughput: W = weight | RPS = sustained requests per second Formula: RPS = 20 ÷ W Developers, go build faster, query harder, and scale smoother than ever. The GMGN API is cooking — enjoy the extra power! 🔥 Create Your Free API Key NOW (Multi-Chain Supported): 👉🏻 Need Help? Join TG chat group: 👉🏻 #Hermes# #Openclaw# #Agent# #TradingBots# #Trenches# #AItrading#

Trading bots execute faster and never panic. But remember that an AI running a flawed strategy will just lose your capital automatically. Learn how to use algorithmic tools effectively before plugging them in👇

Don’t try Bitget Trading Bots... Unless you’re ready for more strategies, easier setup, smarter parameters, and free advanced features that make other bots feel basic 🤖 See what makes Bitget different. Watch this. 👉

Tired of babysitting your trading bots? 🍼 Let’s make them truly autonomous. What if OpenClaw could turn Hummingbot from a static script runner into a fully reasoning agent? 🧠 Imagine your bot autonomously: ✅ Monitoring portfolio health & exchange balances ✅ Dynamically starting/stopping executors based on real-time market context ✅ Reporting back to you via chat, so you can actually sleep 🤖✨ If your Hummingbot could reason and act on its own, what’s the VERY FIRST task you’d assign it? Drop your ideas below! 👇

Automate your TradFi perp trading with Binance Futures Trading Bots. TradFi Perpetual contracts are now supported across USDⓈ-M Futures Grid, Futures DCA, and Position Snowball. Know more →

#FuturesGrid# #Learn2Earn# #TradingBot# #KuCoinBots# 🎯 Futures Grid Learn 2 Earn is LIVE! 🤖 Complete the quiz and create a Futures Grid bot 📊 Earn 25 USDT while mastering automated futures trading 👉 Start now:

🚨 Claude Code made me 6 trading bots in 15 mins In the US alone, emotional retail traders lost more than $1.8 billion on liquidations While billions of amateur traders were staring at charts, overtrading, and getting wrecked on fees, a quiet group of algorithmic traders treated prediction markets like a hyper-liquid data engine They didn't guess outcomes -> they knew the structural price gaps in advance Here is how they did it, and why manual trading is completely dead: It's all about removing emotion and deploying cross-market statistical arbitrage Linear Spread Cointegration Formula: S_t = P_P,t - β * P_K,t - μ Ornstein-Uhlenbeck Continuous Dynamics Formula: dS_t = θ(μ - S_t)dt + σ dW_t Euler-Maruyama Discretization (MLE Calibration) Formula: S_t_i = S_t_i-1 * e^(-θΔt) + μ(1 - e^(-θΔt)) + ε_t Level 1 Order Book Imbalance (OBI) Formula: I_t = (V_b(t) - V_a(t)) / (V_b(t) + V_a(t)) Volume-Weighted Micro-Price Prediction Formula: P_micro(t) = P_mid(t) + I_t * (Δspread / 2) Cross-Venue Predictive Signal Optimization Formula: ΔP_Kalshi(t + δ) = f(I_Polymarket(t), P_micro,Polymarket(t) - P_micro,Kalshi(t)) In the era of advanced AI, the winner is not the one who guesses the score, but the one who lets automated systems execute with absolute patience and discipline. AI does the hard parts now -> you don't even need a CS degree to build this The full behind-the-scenes live system build is now available to the public 📝

Hard to keep up with how fast the deBridge ecosystem is moving ⚡️ Recent integrations: - MegaETH - Institutional custody w/ @Anchorage - Trading Bots & Terminals Wait till you see what's coming next