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37–48 of 181 posts · page 4 of 16

Backtesting

The Wyckoff Method Explained — What the Research Says, and the Rules We Lock Before Testing

Backtesting Arenatradingstrategies.work

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.

MethodologyBacktesting
Jul 25, 20261 min
Backtesting

Why Honest Backtesting Looks Different

Backtesting Arenatradingstrategies.work

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.

BacktestingMethodologyBuy & Hold
Jul 24, 20261 min
Backtesting

Backtest Tokenized Stocks: How Equities, ETFs and Gold Returned to the Arena

Backtesting Arenatradingstrategies.work

acktest tokenized stocks — without a market-data licence. Why the on-chain price opens the door, and where the limits are.

BacktestingTokenized assets
Jul 23, 20261 min
Backtesting

The Coinbase Premium Index: What It Measures, What It Doesn't, and How to Test It

Backtesting Arenatradingstrategies.work

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.

MethodologyBacktesting
Jul 22, 20261 min
Market Analysis

Twenty One Capital (XXI): The Bitcoin Treasury, the mNAV Problem, and What Comes Next

Backtesting Arenatradingstrategies.work

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.

Methodology
Jul 22, 20261 min
Strategy

The 200-Week Moving Average and Young Coins: Why the Obvious Fix Backfires

Backtesting Arenatradingstrategies.work

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.

Trend following
Jul 21, 20261 min
Strategy

Bitcoin's Liquidity Fair Value: Why the Model Fails the Test

Backtesting Arenatradingstrategies.work

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.

BitcoinMethodologyMacro
Jul 20, 20261 min
Tools

DCA vs. Lump Sum: What 346 Bitcoin Entries Actually Show

Backtesting Arenatradingstrategies.work

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.

BitcoinMethodologyBacktesting
Jul 20, 20261 min
Tools

Oracle Manipulation in DeFi: What Happens When a Protocol Trusts Bad Data

Backtesting Arenatradingstrategies.work

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.

DeFiRisk management
Jul 17, 20261 min
Backtesting

When Simulations Lie: What Persi Diaconis Actually Said About Convergence and Proof

Backtesting Arenatradingstrategies.work

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.

BacktestingMethodology
Jul 17, 20261 min
Tools

Consensus Is Not an Edge: Why a Quorum of Correlated Simulations Isn't One

Backtesting Arenatradingstrategies.work

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.

BacktestingMethodologyAI agents
Jul 17, 20261 min
Backtesting

Look-Ahead Bias in Macro Data: Why We Rebuilt Our Regime History

Backtesting Arenatradingstrategies.work

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.

Look-ahead biasBacktestingMacro
Jul 16, 20261 min
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