
Arena Blog
Data-driven insights on trading strategies, backtests, and market analysis.
13–24 of 31 posts · page 2 of 3
Why Experts Forecast Worse Than Chimpanzees
A chimpanzee guessing at random beats educated experts on fact questions — and forecasters on predictions. That's not a punchline but the finding of several of the most-cited studies. Why it happens, what Michael Burry has to do with it, and why a real prediction needs two things: a what and a when.
On a Short Leash: How the US Pushes Its Debt to the Short End
The US Treasury increasingly funds itself with short-dated T-bills. That lowers cost today — and builds rollover risk for tomorrow. A methodical read on the mechanics behind the headlines.
AI in the Drug-Discovery Race: Shovels, Bets, Giants
Asking which company is well-positioned in the AI drug-discovery race is really three questions at once. We sort the field soberly into shovels, bets, and giants — and show which layer earns regardless of any single trial outcome.
Do Credit Flows Lead Crypto? What a Popular Chart Shows — and What It Doesn't
A chart claims to "prove" liquidity leads crypto. The thesis is serious — the chart isn't proof. What it shows, what it doesn't, and how to test it honestly.
When the Product Works but the Token Falls: The Zeus Network Case
zBTC runs, it's multi-chain, the product delivers — and the ZEUS token fell about 98%. How does that fit, and what does the road ahead look like? A sober tokenomics case study.
BIP-110 Chain-Split Fears: What's Really at Stake on August 7 — and What Isn't
"Bitcoin splits in August because miners disagree." The date is roughly right, the mechanism in that sentence isn't. What BIP-110 actually triggers — and what it doesn't.
STRC & MSTR Explained: Mechanics, Myths, Risks and Opportunities
STRC is below par and the debate is loud. We separate mechanics from myth: how STRC and MSTR work, the misconceptions circulating, and where the risk and the opportunity sit.
Why People Really Trade — and the Honey-Trap Industry Waiting for Them
Most people don't trade out of greed but out of fear — cash bleeds in silence. That necessity feeds an industry built to drain those traders. Why the only durable defense is learning to verify.
The Four-Year Cycle That Isn't One — What Bitcoin Can Learn from Pigs, Chips, and Ships
The Bitcoin four-year cycle isn't in the code — only the halving supply schedule is. What real cycles (pigs, chips, ships) teach us about the difference between a causal cycle and a fitted narrative.
SpaceX IPO: Buy the Hype or Wait? What the Biggest IPOs Did in Their First 6 Months
Tomorrow, SpaceX is expected to do something no company has done before: raise roughly $75 billion in a single offering.
AI-Crypto Is Not a Monolith: Four Categories — and the One Test That Separates Substance From Narrative
"AI-crypto" trades as one sector but is at least four different things on different layers of the stack: payment rails (Solana, Base, Sui, Tempo), agent frameworks (Virtuals, ElizaOS, Fetch/ASI), decentralized intelligence (Bittensor) and decentralized compute (Render, Akash, io.net). A map of the most relevant projects per category — and one test cutting across all of them to show where real substance sits and where a narrative was simply built around a token: is the token structurally necessary, or just present?
Strategy's $100 Anchor Is Not a Stablecoin Peg — And Why That Changes Everything
Saylor's "we'll probably sell some bitcoin" wasn't capitulation, it was a bond-investor memo dressed up as an earnings-call aside. But who is the audience actually? An analysis of the STRC holder base surfaces an 80% retail quota that redefines the entire risk profile. On the $100 anchor mechanic, why it isn't a stablecoin peg, three stress scenarios from soft break to bank run, and why Saylor's communication timing is the genuinely sophisticated part of the construction.
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