Trading
AI Trading Agent vs Trading Bot vs Copy Trading: What Actually Changes?
AI agents, trading bots, and copy trading automate different decisions. Compare who creates the signal, who controls execution, and where the risks sit.
Michael Gu
Category
AI Trading & Technical Analysis
Learn how human traders, algorithms, and AI agents turn charts, market data, and prediction-market odds into decisions—then test whether those decisions survive risk, fees, and real execution.
Start here: AI trading agents
What Is an AI Trading Agent? From Market Data to Signed Order
An AI trading agent can research, propose, and sometimes execute trades. The important part is the control system between its idea and a signed order.
Trading
What Is an AI Trading Agent? From Market Data to Signed Order
An AI trading agent can research, propose, and sometimes execute trades. The important part is the control system between its idea and a signed order.
Michael Gu
Trading
Crypto Charts vs Polymarket Odds: Two Markets, One Event
Crypto price charts and prediction-market odds can react to the same event while answering different questions. Here is how to compare them without forcing a false signal.
Michael Gu
Trading
When the Winning Bet Still Loses: Spread, Slippage and Partial Fills
A correct prediction is not automatically a profitable trade. Learn how bid-ask spread, visible depth, fees, latency, queue uncertainty, and partial fills change the result.
Michael Gu
Trading
Can AI Beat Polymarket? A Time-Locked Trading Experiment
A reproducible experiment for testing AI forecasts against Polymarket odds without leaking the answer, cherry-picking markets, or pretending paper fills were real.
Michael Gu
Trading
How to Build a Polymarket AI Trading Agent—Paper Trading First
Build a useful Polymarket AI agent without giving it a wallet: collect public data, make time-stamped forecasts, simulate realistic fills, and audit every decision.
Michael Gu
Trading
AI Trading Agent Scorecard: How Boxmining Will Test Models
Boxmining’s methodology template for evaluating AI trading agents across forecast calibration, drawdown, execution, refusals, safety rules and reproducibility—not headline profit alone.
Michael Gu
Trading
When AI Agents Trade Against Each Other: Who Makes the Market?
A practical explanation of how automated market makers quote prediction markets, manage inventory and survive adverse selection—without pretending the order book reveals who runs an AI agent.
Michael Gu
Trading
Prompt Injection for Trading Agents: Can a Headline Hijack a Bot?
A defensive guide to keeping hostile headlines, webpages and tool output from turning an AI market analysis task into an unauthorized trade.
Michael Gu
Trading
How to Backtest an AI Crypto Strategy Without Fooling Yourself
A practical framework for testing AI crypto strategies with point-in-time data, frozen models, realistic costs, walk-forward validation and a hard boundary before live capital.
Michael Gu
Trading
Confirmation vs Deviation (Beginner’s Guide Series Part 3)
Welcome to the third part of our crypto trading guide series for beginners!
ronalthapa
Trading
Identifying Key Levels in Price Action Trading (Beginner’s Guide Series Part 1)
Learn how to mark support, resistance, range highs, range lows, mid-ranges and weekly levels, with dated Bitcoin and Ethereum chart examples and practical risk caveats.
ronalthapa