strategy-analysis

A monitoring practice that continuously tracks a <a href="/en/glossary/defai-fundamentals/defai/">DeFAI</a> strategy's actual performance, using statistical methods to identify early whether the market pattern the strategy originally relied on is weakening or disappearing — rather than only realizing the strategy has failed after obvious consecutive losses have already occurred — letting users or the platform take action before losses grow larger.

The phenomenon where a strategy's logic or parameters have been tuned so precisely to fit a specific stretch of historical data that backtest results look exceptionally strong — but that performance is really just coincidentally fitting past noise, and drops off sharply when applied to new data or a live environment.

A user might think they're only using one times their principal with no additional borrowing, but if multiple <a href="/en/glossary/defai-fundamentals/defai/">DeFAI</a> strategies they use simultaneously each independently adopt a <a href="https://crypto-bible.com/en/glossary/derivatives-and-leverage/leverage/" target="_blank" rel="noopener">Leverage</a> mechanism underneath (Strategy A amplifying its position through collateralized borrowing, Strategy B amplifying its exposure through a derivatives contract, say), these underlying leverage amounts stack up entirely without the user noticing, leaving the actual total exposure carried far exceeding the one-times-principal the user subjectively believes. This stacking usually isn't directly shown on any single strategy's interface at all — a user needs to trace down each strategy's underlying mechanism themselves to discover it.

An evaluation metric that weighs a strategy's return together with the volatility risk it took on to achieve that return, measuring how much actual return is earned per unit of risk taken — letting strategies with different volatility levels be fairly compared on the same basis, rather than judged on raw return figures alone.

The phenomenon where, as more capital is deployed into a strategy, the return per unit of capital the strategy generates actually declines. The root cause is that a strategy's own execution moves market prices — larger capital means larger <a href="https://crypto-bible.com/en/glossary/trading-concepts/slippage/" target="_blank" rel="noopener">price impact</a>, which eventually erodes the profit opportunity that existed in the first place. A structural constraint that must be considered when assessing whether any quantitative or <a href="https://crypto-bible.com/en/glossary/trading-concepts/arbitrage/" target="_blank" rel="noopener">Arbitrage</a>-type strategy can scale up over the long term.

The situation where a user believes they've achieved diversification by allocating capital across multiple seemingly independent <a href="/en/glossary/defai-fundamentals/defai/">DeFAI</a> strategies, but those strategies actually depend on the same or highly correlated underlying market conditions, data sources, or even the same piece of infrastructure — causing them to fail or lose money simultaneously under certain market conditions, meaning the apparent diversification never genuinely reduced overall risk.

When a DeFAI strategy's performance keeps worsening, or a team decides to stop maintaining it, how funds should safely and orderly exit is a mechanism design often overlooked by users, yet one that directly determines the actual scale of loss at the moment of exit — a strategy with a well-designed sunset mechanism lets users recover their assets promptly once the strategy is confirmed defunct; a poorly designed one can leave a user's funds stuck in an environment no one maintains anymore, with liquidity gradually drying up and nowhere to turn for help.

The list of strategies a platform shows you often only includes strategies still alive and profitable today — strategies that once launched but later got delisted due to poor performance, or that users abandoned, usually don't appear in the interface you see. This means the strategy performance overview in front of you is fundamentally an already-filtered survivor list, not a genuine full picture of every strategy this platform has ever launched.