💬 We get asked How to reduce drawdown without... killing performance? ❕ Answer from a GT App Top Trader: The goal is not “zero drawdown”. The goal is keeping drawdown controlled while the strategy still has room to earn. 🔸 Reduce risk, not the edge Lower position size or leverage first, before changing the whole logic. This often cuts drawdown without destroying what makes the strategy work. 🔸 Smooth entries Adjust DCA and Safety Orders so the strategy does not stack too aggressively during the worst moves. Fewer or smaller safety orders and less martingale pressure can keep dips shallower without removing the upside. 🔸 Diversify the load Avoid running one idea on highly correlated pairs only. Spreading across different pairs or strategy types can reduce portfolio drawdown without cutting returns to zero. Test, compare, and launch directly in GT APP 👉show more

💬 We get asked When should a strategy be... re-tested or updated? ❕ Answer from a GT App Top Trader: A strategy should be re-tested when its real behavior no longer matches what was expected. 🔸 Performance drift If returns drop or drawdowns expand compared to the usual range, it is time to re-test. The goal is to confirm whether the edge is still there. 🔸 Market change A strategy can work in one market phase and struggle in another. After a clear shift in volatility or trend behavior, re-testing helps avoid running outdated settings. 🔸 Planned maintenance Even without problems, periodic re-testing keeps the setup healthy. It helps catch slow changes before they turn into a bigger issue. You can always adjust your strategy settings anytime on GT App -show more

💬 We get asked Can I follow a top... trader's strategy if I don't know how to set the parameters? ❕ Answer from a GT App Specialist: Yes, absolutely! You don’t need to be an expert in technical settings to benefit from professional logic. In our Marketplace, the complex work is already done for you. 🔸 Professional Management When you choose a strategy from a top trader, the parameters are hidden and managed by the expert. You don’t have to worry about RSI, Bollinger Bands, or leverage levels, the maker handles the technical side. 🔸 Automatic Updates The market is always changing, and your strategy should too. If the lead trader updates their settings to match new market conditions, your setup updates automatically. For example, if the trader changes the take-profit level, your running strategy will stay in sync without you lifting a finger. 🔸 You Control the Capital While the trader manages the logic, you remain in control of your money. You only need to decide the allocation how much of your balance you want to use for that specific strategy. Find a strategy that fits your goals in the Marketplace and let the pros handle the rest!show more

💬 We get asked What should I do if... I don’t have my own trading ideas yet? ❕ Answer from a GT App Specialist: You don’t need to be a professional strategist to start trading. GT App’s AI layer generates new strategy ideas every day that you can immediately explore and test. 🔸 Daily AI-generated strategies Advanced LLMs build fresh trading strategies daily. The LLM Builder creates complete strategy setups that you can instantly optimize to see how they would have performed. 🔸 Pick and test in seconds Inside the app you’ll find AI strategy cards labeled by the LLM that generated them. Select a strategy, run an optimization, and instantly review metrics like win rate, trade history, and profit performance. 🔸 Or build a strategy directly in Telegram You can also generate and test strategies through our Telegram bot. Just open @gt_ai_trading_bot, request a strategy for a trading pair, and the AI will build and backtest it for you. Explore AI-generated strategies 👉show more

💬 We get asked What advantages do AI-based tools... bring to trading? ❕ Answer from a GT App Top Trader: They help reduce manual work and make trading decisions more structured. Instead of guessing, you start with ready setups and test them faster. 🔸 Faster analysis Less time goes into switching between charts, indicators, and timeframes. AI-generated strategies give you a ready starting point that you can immediately test and evaluate. 🔸 Structured approach Instead of searching for ideas, you work with complete strategy setups. You can backtest them, review performance, and understand how they behave before going live. 🔸 What I do I use the GT AI Trading Agent to generate strategy ideas and test them quickly. It helps me move from an idea to a validated setup without wasting time on manual trial and error. Want to try AI Trading yourself?show more

❔ A Question for Our Community 👇 How to... stay disciplined in drawdown? 📉 Drawdowns can feel personal, but they are part of the process. The key is having a plan that prevents panic moves and keeps decisions consistent when results turn red, especially during the toughest moments. 💡 In GT App, strategies can be monitored and managed in one place, which helps stay focused on the plan. Get started 👉 💬 What habits help you stay on track during drawdown?show more

Tired of violating your daily drawdown? With E8 Pro,... say goodbye to daily drawdown violations! The daily pause stops your account if you reach the limit, giving you a chance to regroup and stay in control of your strategy.show more

💬 We get asked Should I always enable DCA?... ❕ Answer from a GT App Top Trader: DCA (Dollar-Cost Averaging) means adding to your position if price goes against you. Instead of opening one big trade, you enter step by step. But DCA is not a rescue button. It's a structure. 🔸When I use it I don't turn on DCA by default. If I use it, I test: • safety order size (how big each extra order is) • number of safety orders (how many times I add) • max simultaneous safety orders 🔸 Example when DCA makes sense The market is in an overall uptrend on 4H timeframe. You open a long position, but price makes a small pullback before continuing up. Instead of closing the trade, DCA allows you to add at a better price during the pullback. When the trend continues, your average entry is better. 🔸 What matters In backtests, I don’t look only at profit. I check deal structure, drawdowns, and how much capital is locked. If DCA makes trades more stable but risks too much money, I adjust it.show more

🇺🇸 Saylor says Strategy is engineered to take an... 80-90% drawdown and keep ticking. "I think we're pretty indestructible."show more

What if your strategy could change direction when the... market does? 👀 That’s what Trend Changer is built for. A regular futures strategy usually trades in one direction — long or short. Trend Changer keeps watching the market and reacts when the trend starts moving against your strategy. ✅ Switch between long and short automatically ✅ Reduce trades against the trend, stuck positions, and unnecessary averaging ✅ Choose how much control to give the bot: notification, next-trade switch, or immediate switch ✅ Keep monitoring the market 24/7 — even between trades You can even follow the bigger trend on a higher timeframe while keeping your usual entry timeframe. One strategy. Both market directions. Less manual trading. ⚡️ Try Trend Changer in GT APP — link in the comments 👇show more

💬 We get asked Should Stop Loss be used... by default or adjusted per strategy? ❕ Answer from a GT App Top Trader: Stop Loss is not a safety switch. It’s a positioning tool. I don’t use one fixed value. I adjust it based on market structure and strategy behavior. 🔸 When it works I use Stop Loss when it’s aligned with volatility and timeframe. For example: on 1H–4H strategies, I place Stop Loss beyond normal price noise. That way, it protects from real invalidation, not from random pullbacks. In backtests, I want to see Stop Loss triggering only when the idea truly fails, not during routine corrections. 🔸 When it doesn’t I don’t use Stop Loss with aggressive DCA. Averaging needs room, and Stop Loss often closes trades before the structure plays out. I also avoid tight Stop Loss on 1m–5m. High noise turns good entries into small losses. Frequent stops aren’t protection. They’re friction. 🔸 How I decide I backtest multiple Stop Loss values instead of assuming one is “correct”. I compare drawdowns, deal duration, and how exits are distributed. If Stop Loss improves overall behavior and stability, I keep it. If it just increases stop outs, I move or remove it. 👉 Test different Stop Loss levels across market conditionsshow more

💬 We get asked Is it worth trading when... the market is just moving sideways with no big trends? ❕ Answer from a GT App Trader: Actually, "boring" markets are where I make some of my most consistent gains. When the price is stuck in a range, I switch my focus to Grid or Scalping strategies. 🔸 Profiting from the "Ziz-Zag" While everyone is waiting for a massive pump, my strategies take advantage of small price fluctuations. They buy at the local bottom of the range and sell at the local top, over and over again. These small wins really add up. 🔸 High Frequency, Low Stress In a flat market, you don't need to catch a 10% move. Setting up a strategy to grab 0.5% – 1% multiple times a day works perfectly. It keeps my capital working instead of just sitting idle in the wallet. 🔸 Precision Settings I usually adjust my filters to be more sensitive during these periods. Using the Strategy Builder, I can set tight entry and exit points so the strategy stays active even in a narrow price corridor. Don't wait for the moon — trade the range!show more

Playground progress update: 🔸 Auto-generated code for each endpoint.... 🔸 Complete Schema validation. 🔸 Persisted state - come back at any time. 🔸 Directly within the app. 🔸 Dark/Light mode support. 🔸 Always a click away. The goal is to effectively replace the docs with this interactive playground and further reduce integration time.show more

💬 We get asked Can I manage my strategies... without clicking through the platform? ❕ Answer from a GT App Top Trader: Yes, and it’s a total game-changer. I’ve started using the GT Protocol MCP server to connect the platform directly to my AI agent. 🔸 Fast Integration Grab the MCP server from the GT Protocol GitHub and follow the repo guide, it’s a quick setup that only takes a couple of minutes. Once it’s ready, you can connect Claude, Cursor, or Claude Code to your account. Just tell your agent to authenticate, and your tokens will be saved automatically. 🔸 Trading via conversation Now, I use natural language for everything. For example, I just ask for a backtest, get the win rate in seconds, and deploy to a demo account with one command. 🔸 Instant monitoring I don't click around anymore. I just ask "What’s running right now?" to get a full breakdown of active bots and profits delivered straight into the chat. No more forms or clicking, just pure AI-driven trading! 👉 Get the MCP Servershow more

+$6,000 on the day. Personal Funds. No prop. Started... the day in drawdown. Losses recouped with the help of pyramid entries and reduced risk.show more

Where is the drawdown? 107 vehicles in less than... 3 hours.show more

🚀 GT Protocol x Hyperliquid Integration Hyperliquid execution is... fully embedded into GT App, unlocking automated strategies with signals, targets, and stop orders across Spot and Perps. What it includes: 1️⃣ DEX Execution Support Your strategies can now execute not only on centralized exchanges like Binance but also on the decentralized infrastructure of Hyperliquid. You keep the same interface and gain a new execution rail. 2️⃣ Spot and Perps Trading Automated strategy execution is now available both on Spot and on Perpetual markets on Hyperliquid through API-level integration. 3️⃣ SEC and MiCA Restriction Bypass Traders in the US and EU who are affected by SEC or MiCA limitations can now use a clean DEX-based path that keeps automated trading active without additional workarounds. 4️⃣ Unified Control Panel You still control everything from one place: connect → choose strategy → launch → monitor. GT App handles execution across CeFi and DEX rails. Try it now on GT APP 👉show more

🪴 GT Protocol Monthly Recap: May 2026 May focused... on launching advanced trading infrastructure, introducing AI risk-management tools, and shipping major platform upgrades. 🚀 Hyperliquid Vaults Live Run multiple algorithmic strategies on a single Hyperliquid Vault inside GT App. Enjoy automated execution, auto-rebalancing, and protocol-level security. You can find Vault trading on the Hyperliquid exchange account connection page in the Trade on Vault section. Try it in GT App 👉 🤖 AI Hedge Fund Experiment Live An experimental AI Hedge Fund powered by 5 independent LLM models is live on Hyperliquid. Each model manages $10,000 to test different AI trading personalities and allocation strategies. Discover it now here 👉 📈 Isolated Margin & AI Risk Tools Isolated Margin is live across GT App for precise risk management. Enhanced with AI-powered logic, it assists with dynamic asset monitoring and smarter strategy deployment. Try it in GT App 👉 🔥 Top Strategy Performance Top trader strategies like "lebakien" achieved over +141% profit this month. Users can explore metrics and follow the strategies of top traders directly in the marketplace. Explore Marketplace 👉 🛠 Key Product Updates ⚙️ Strategy Discovery: enhanced demo trading flows and top trader strategy integration. ⚙️ AI Strategy Chat: demoed a flow to create, launch, and test strategies via natural language chat. ⚙️ Advanced Execution: added manual safety orders for granular control over active positions. ⚙️ Testing & Validation: optimized historical data validation for more accurate strategy testing. ⚙️ Knowledge Hub: launched GT Protocol Learn and a new Knowledge Base for streamlined support. ⚙️ Performance: upgraded website structure and improved overall page responsiveness. Find all the latest GT App updates Here 👉 Discover guides, insights, and resources in Learn 👉 and Knowledge Base 👉 📰 GT Protocol AI Digests 4 new AI Digest issues (No.89–92) are live on Medium, covering AI-native hardware, data privacy, and the evolution of AI agents. Read More 👉 May brought institutional-grade AI strategy management closer to every user.show more

❔ A Question for Our Community 👇 Do you... prefer оne strong or many small strategies?📈 Some traders prefer one strong strategy for simplicity and control, while others use several smaller ones to spread risk and adapt. The difference is clearest in unstable markets, where one setup may struggle but multiple strategies can balance the result. 💡 In GT App, you can run and compare multiple strategies in parallel, analyze their behavior in Strategy Builder and choose the setup that fits your risk and style. Try now 👉 💬 Let us know your thoughts 👇show more

🚨 I TURNED OPUS 5.5 INTO A 24/7 TRADING... AGENT Opus 5.5 surprised me. In my trading setup, it is outperforming what I was getting from Fable 5.1 - at a fraction of the cost. I wanted an AI system that could research a strategy, build it, challenge it, test it, deploy it and keep watching it after I go to sleep. Here is the architecture: 1. REASONING ENGINE Opus 5.5 sits at the center of the stack. Long-horizon reasoning, large context, code execution, computer use. The ability to work through complex quantitative problems without collapsing into one giant prompt. 2. 10-AGENT RESEARCH TEAM AgentKit turns Opus 5.5 into a 10-agent specialist team running through Claude Code: Conductor Backend Architect Test Engineer Code Reviewer Data Engineer Debugger Frontend Infra / DevOps Performance & Observability Security Same model. Ten different disciplines. 3. GATED WORKFLOW The agent cannot simply decide to build something and ship it. Every project moves through: Brainstorm → Architecture → Plan → Build → Review → Ship Operator approval sits between the stages. Nothing gets built before the spec is approved. 4. QUANTITATIVE CORE The system is not built around generic indicators. The production stack includes: - Ornstein-Uhlenbeck for statistical arbitrage - Avellaneda-Stoikov for market making - Hawkes processes for order-flow dynamics - Heston for volatility modeling Different market problems. Different mathematical frameworks. 5. PRODUCTION ARCHITECTURE Every strategy wraps into six independent layers: Data → Signal → Decision → Risk → Execution → Monitoring That separation matters. A broken feed should not become a fake signal. A valid signal should not automatically become an order. A disconnected WebSocket should not quietly kill the strategy at 2 AM. 6. RISK ENGINE Kelly-based sizing. 5% drawdown kill switch. Delta-neutral hedging where required. Execution constraints. Intent blotter before orders. The numbers are not theoretical. An earlier chatbot trading script managed to blow through 12% in one session. That changed the architecture completely. 7. VALIDATION BEFORE CAPITAL A backtest looking good is not enough. The strategy has to clear the gates: - Sharpe > 1.5 - Drawdown 55% - t-stat > 2.0 - 5 years of walk-forward validation Fail one? Back to research. No capital. 8. OBSERVABILITY The agent does not just produce trades. It produces a machine-readable decision trail: - Instrument - Strategy - Market regime - Signal - Confidence - Sharpe - Drawdown - Action window - Kelly-sized position Every decision can be traced back through the stack. 9. FINAL INTERFACE Telegram becomes the control surface. My phone gets the final output instead of thousands of logs: - What is trading - Why it is trading - How large the position is - What invalidates the thesis - When the opportunity expires Opus 5.5 is outperforming Fable 5.1 in my setup - at about 40% of the cost. That changes what is economically possible when you are running agents 24/7. Turns out, the hardest part of AI trading wasn't the AI. It was everything around it: Data, validation, risk, execution, monitoring. Build those layers properly, and one model can operate like an entire quant desk. This is only version one. The next build gets posted here first. Follow and turn on notifications.show more

There is literally zero reason to pray in the... street like this, this is a domination strategy - to see how much they can get away with before pushback. Unfortunately, they are not getting much.show more