Trading
Why Bitcoin Trades Differently on Every Exchange
The symbol may look the same, but matching rules, products, fees, depth and account risk make each exchange a different market.
Michael Gu
Archive
All Articles - Page 2
Browse Boxmining reporting, practical guides, reviews, and research in publication order. Page 2 of 43.
Trading
Why a Trading Strategy Is Only 10% of a Trading System
The signal is the visible tip. Production trading depends on market data, risk, execution, monitoring, capture, recovery and reconciliation.
Michael Gu
Trading
Backtest → Historical Replay → Paper Trading: The Validation Ladder
A backtest, event replay and paper account answer different questions. Use each as a gate—and keep live capital outside the experiment.
Michael Gu
Trading
Should a Trading Model Predict Up or Predict a Price?
A correct up-or-down call can still be a losing trade. Compare direction labels with fair value, expected return and decisions after costs and risk.
Michael Gu
Trading
Why Trading Data Lies in Subtle Ways
Sequence gaps, clock drift, revised candles and vanished assets can manufacture an edge. Here is how to build market data that can be audited.
Michael Gu
Trading
Book Pressure and Trade Impulse: Signal or Backtest Bait?
Rebuild two classic microstructure teaching signals, then stress-test the assumptions that make an attractive formula fail in real crypto markets.
Michael Gu
Trading
Maker, Taker and Arbitrageur: The Three Jobs Every Market Needs
Market makers wait, takers demand immediacy and arbitrageurs connect prices. Here is what each role earns—and what each risks.
Michael Gu
Trading
The Order Book Is Not the Market: How Bids, Asks and Trades Become a Price
Learn how order events create bids, asks, spreads, depth and trades—and why the visible book is only a conditional snapshot of liquidity.
Michael Gu
Trading
What Happens After You Tap Buy? Anatomy of a Crypto Trade
Follow one hypothetical crypto order from a live quote through market data, risk checks, matching, fills and account reconciliation.
Michael Gu
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
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
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