Trading
Who Signed the Order? Wallet Permissions for AI Trading Agents
A model should never hold unlimited signing authority. Learn how keys, scoped permissions, policy checks, approval, and revocation fit together.
Michael Gu
Archive
All Articles - Page 3
Browse Boxmining reporting, practical guides, reviews, and research in publication order. Page 3 of 44.
Trading
The Trade an AI Agent Must Refuse: Seven Safety Gates Before Execution
A safe trading agent needs explicit reasons not to trade. These seven external gates turn vague caution into testable rejection rules.
Michael Gu
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
NFTs
What Happened to GameFi? Crypto Built Economies Before It Built Good Games
GameFi did not fail because digital ownership is useless. It failed because projects priced financial demand as if it were player love, then built economies that needed new buyers more than games that retained ordinary players.
Michael Gu
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
News
What Happened to Harmony ONE? Inside the 4 Billion Token Exploit
Harmony patched a cross-shard replay flaw after roughly 4 billion ONE appeared without authorization. The incident follows years of bridge losses, token inflation and failed recovery.
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
AI News
Venice AI Review: Private Multi-Model API, Expensive DIEM
Venice AI offers a useful private multi-model API, but DIEM costs roughly US$1,300 for each US$1 daily allowance. It suits heavy API users.
Michael Gu
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