
Arena Blog
Data-driven insights on trading strategies, backtests, and market analysis.
37–48 of 181 posts · page 4 of 16
The Wyckoff Method Explained — What the Research Says, and the Rules We Lock Before Testing
The Wyckoff schematic is among the best-known models in trading. Under its own name it is barely tested — the mechanism behind it is, and it contradicts the Spring at one decisive point. Here is how it works, why phases cannot be counted, and the exact rules plus control group for our test — published before a single number exists.
Why Honest Backtesting Looks Different
A backtest showing +900% is usually an illusion — built from one lucky entry, too few trades, and the wrong benchmark. Four principles we hold ourselves to: the average of all entries, the 30-trade line, Average Buy & Hold, and out-of-sample testing.
Backtest Tokenized Stocks: How Equities, ETFs and Gold Returned to the Arena
acktest tokenized stocks — without a market-data licence. Why the on-chain price opens the door, and where the limits are.
The Coinbase Premium Index: What It Measures, What It Doesn't, and How to Test It
The Coinbase Premium Index is read as a thermometer for US demand. It measures a price gap, not a flow — and its denominator is not a dollar. What it can carry, where it breaks, what the Korea premium reveals about it, and the six tests a backtest needs.
Twenty One Capital (XXI): The Bitcoin Treasury, the mNAV Problem, and What Comes Next
Twenty One Capital holds 43,514 bitcoin and trades at either a 41% discount or a 26% premium, depending on who is counting. Where the company came from, how its engine works, and why mNAV needs four labels.
The 200-Week Moving Average and Young Coins: Why the Obvious Fix Backfires
Young coins without 200 weeks of history skip the 200-week filter automatically. We tested the obvious fix across 207 coins — it made everything worse.
Bitcoin's Liquidity Fair Value: Why the Model Fails the Test
The Bitcoin liquidity fair value chart shows R²=0.85 — and claims BTC is "348% above fair value". We ran the cointegration test. It fails.
DCA vs. Lump Sum: What 346 Bitcoin Entries Actually Show
DCA vs. lump sum for Bitcoin? Across 346 historical entries the lump sum won 60 % of the time — but DCA halved the downside. The distribution instead of an opinion.
Oracle Manipulation in DeFi: What Happens When a Protocol Trusts Bad Data
Oracle manipulation drained millions from Ostium — not through a contract bug, but through bad data. The failure modes when DeFi protocols trust their price feeds.
When Simulations Lie: What Persi Diaconis Actually Said About Convergence and Proof
Persi Diaconis shows a simulation can run for thousands of hours, look stable, and still be wrong. What he actually said about convergence and proof.
Consensus Is Not an Edge: Why a Quorum of Correlated Simulations Isn't One
An AI swarm turned $1,000 into nearly a million? The number falls apart at its own source. Why consensus from correlated simulations is not an edge.
Look-Ahead Bias in Macro Data: Why We Rebuilt Our Regime History
Look-ahead bias corrupts backtests when macro data is revised after the fact. Why we rebuilt our regime history to be strictly point-in-time — and proved it.
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