Insights on AI trading

$1 Billion Gone in 24 Hours: What the Iran-Triggered BTC Crash Reveals About Margin Risk

$958M liquidated in 24 hours after the Iran airstrike. Here's why isolated margin vs cross margin was the most consequential setting in your futures interface.

How-to

Hyperliquid Vault — the right structure for managing capital. Now with automation.

Hyperliquid vaults solve custody. GT App solves automation. Run DCA bots and trailing take-profit on your vault — funds stay on-chain, under protocol control.

Comparisons

Win Rate vs Average Profit per Trade: Which Matters More?

Win rate measures how often a strategy is right. Average profit per trade measures whether being right is worth it. Neither alone tells you if a strategy works.

AI in Trading

GT App MCP: Trade Through AI Agents Like Claude and ChatGPT

GT App MCP connects your GT account to AI agents like Claude and ChatGPT, so you can create bots, monitor positions, and adjust strategies just by talking.

AI in Trading

What Happens When 5 Frontier LLMs Trade Crypto? Inside GT Protocol's AI Hedge Fund

Five frontier LLMs each got $10,000 paper-trading capital. How the experiment is structured, what risk constraints we use, and what we are watching.

Strategies

Long-Term Crypto Investing — DCA, Diversification, and Safe Tools for Beginners

Most crypto investors lose money chasing short-term moves. Here's the boring strategy that historically wins — and the tools that automate the hard parts.

AI in Trading

How Machines Learned to Think — Part 4 — ChatGPT, Generative AI, and the Web4 Horizon

Part 4 of 4. ChatGPT, DALL·E, autonomous agents — and the dawn of Web4. The web is no longer a place to click. It's a place where humans and AI agents work together.

AI in Trading

How Machines Learned to Think — Part 3 — Deep Learning, AlphaGo, and the Language Renaissance (2010s)

Part 3 of 4. AlphaGo, GANs, BERT, and GPT. The decade when AI didn't just recognize the world — it started creating it.

AI in Trading

How Machines Learned to Think — Part 2 — From AI Winter to Machine Learning (1970s–2000s)

Part 2 of 4. The 1970s and 80s nearly killed AI. Then a quiet revolution started — machines that learned from data instead of waiting to be programmed.

AI in Trading

How Machines Learned to Think — Part 1 — From Thinking Automata to the Perceptron (1920s–1960s)

Part 1 of 4. From Karel Čapek's 'robot' to the Perceptron — the first chapter of AI's story is mechanical, electromechanical, and surprisingly poetic.

How-to

Anonymous Founders and the Biggest Crypto Scams — Why Transparency Matters

Bitconnect. OneCoin. PlusToken. The biggest crypto investor failures share one pattern — founders who disappear. Here's why visible leadership is the strongest survival signal in crypto.

Strategies

How Crypto Holders Can Grow Their Stack Without Becoming Traders

Holding crypto for years is a strategy. Watching it sit idle isn't. Here's how AI agents let long-term holders grow their stack through any market — without learning to trade.

Strategies

Too Many Strategies? How to Cut Through the Noise and Choose the Right One

Hundreds of strategies, dozens of bots, contradicting signals everywhere. Here's how to filter, test, and choose the strategy that fits your style — without guessing.

How-to

How to Spot Real Crypto Traders and Avoid Scams — A Beginner's Guide

Anyone can post a screenshot of a winning trade. Here's how to tell a real trader from a scam in two minutes — and what platforms can show you that scammers can't fake.

How-to

Start Crypto Trading in One Tap — No Charts, No Jargon, No Setup

Most beginners quit before placing their first trade — not because crypto is hard, but because the tools are. Here's how to start in one tap without learning the jargon first.

How-to

How to Overcome the Fear of Losing Money in Crypto Trading

Fear of loss stops more beginners than market crashes. Here's how paper trading, AI guidance, and verified strategies let you build real experience without risking real money.

Strategies

From Volatility to Stability: Managing Risks in Crypto Investments

Risk management techniques for cryptocurrency investments — diversification, security, and best practices to safeguard crypto assets in volatile markets.

Strategies

Crypto Portfolio Diversification: Balancing Risk and Reward

A complete guide to diversifying your cryptocurrency portfolio. Strategies for balancing risk and maximizing returns across major coins, altcoins, stablecoins, and NFTs.

Strategies

Mastering Risk Management: Effective Strategies for Setting Stop-Loss Orders in Crypto Trading

Effective stop-loss techniques for crypto trading — how to adjust orders for market volatility and individual risk tolerance.

Strategies

Optimizing Trading Strategies to Meet Your Goals in the Dynamic Cryptocurrency Market

Match your trading strategy to your risk tolerance and investment goals. Practical configuration tips for novice and experienced traders on GT App.