
Arena Blog
Data-driven insights on trading strategies, backtests, and market analysis.
73–84 of 225 posts · page 7 of 19
Popular Trading Myths, Tested Against the Actual Numbers
Max pain, the yen carry trade, rate cuts, the four-year cycle: seven trading myths, each held against the numbers. The answer is almost never "myth" — usually it is something less comfortable.
759,000 Holders, and Less Money Behind Each One
The holder count for tokenized equities nearly doubled in thirty days. Value per holder has halved since March. Both are true, and together they say something neither says alone.
Backtest baseline: how our comparison value broke — and what 20 flipped verdicts show
The baseline in a backtest is what everything else is measured against. Ours was 62 % runs with a filter switched on. What that shifted, and what we changed.
Leverage Backtest: Why More Leverage Rarely Means More Return
A leverage backtest rarely shows more return – often less. Why effective exposure = position × leverage decides, and where 5× would have liquidated your strategy in 2018.
Building for AI Agents: 10 Lessons From Running 73 MCP Tools
Your most thorough reader gets the least to read. Ten places where building for agents differs from building for people, with numbers from production.
The Wyckoff Spring, Backtested: We Locked the Rules First — Here's the Result
We pre-registered a Wyckoff spring backtest: rules locked first, 10 pairs, placebo control. The result is a clean nothing — and short-term even negative.
Stacking More Sats With Altcoin Rotation? 45 Tests, One Answer
Stacking more sats by rotating between altcoins, BTC and stablecoins sounds compelling. We measured it across 45 test cases. The result: less BTC than doing nothing.
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.
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