Why a strategy can behave differently when the market changes

A previously comfortable strategy starts struggling. Gains fade and positions reverse more often. Has its approach failed, or have conditions changed?

The same rules can meet different markets

Prices may follow persistent trends, repeatedly change direction or move sharply as uncertainty rises. Leadership may be spread across many companies or concentrated in a small group.

Researchers sometimes describe these patterns as market regimes: ways of grouping conditions for analysis. These categories describe an analysis, not boundaries the market announces in advance.

Consider a simplified trend-following rule. A sustained price movement may give it time to participate. Repeated reversals may instead produce entries followed by exits, with trading costs adding to the difficulty.

That example explains a possible mechanism. It does not establish how every trend strategy - or any particular Fundgazer portfolio - will perform.

Recognising a phase afterwards is easier

Recognising a phase afterwards is easier than identifying it during trading. A strategy must use information available at each decision date.

If a backtest shows different rules operating in different phases, ask how those phases were identified. Could the classification have been made at the decision date, or does it depend on information that arrived later?

A volatility measure is one input, not a complete forecast

India VIX uses NIFTY option prices to estimate expected volatility over the next 30 calendar days. It does not predict a certain market direction or crash date. NSE: India VIX

Examine the difficult periods

• What conditions were present? Look beyond the label to the actual market behaviour.
• What did the strategy do? Examine allocations and trades alongside the return chart.
• Which risks remained? A reduction in exposure does not necessarily prevent further losses.
• What costs were involved? Frequent changes can affect results even when individual decisions seem reasonable.
• Was the explanation documented? Separate a stated operating rule from an interpretation added afterwards.

The dates also matter. Selecting a favourable starting point or ending a comparison before a difficult period can change the impression without changing the strategy itself.

Adaptation needs a defined process

An algorithm-driven strategy may change positions or exposure as its conditions change. That is different from changing the underlying model.

Both deserve clear explanations. Investors should be able to distinguish routine portfolio decisions from a revised strategy version, rather than assuming every change demonstrates successful adaptation.

Claims that a system "works in every market" require particular scrutiny. Different conditions can expose different weaknesses, including ones absent from the historical record.

Use changing conditions to ask better questions

For a long-term investor, a difficult phase is a reason to investigate. It is not, by itself, proof that a strategy should be abandoned - or reassurance that staying will eventually be rewarded.

When evaluating Fundgazer's portfolios, read the historical results alongside the available strategy information and simulated decisions. The aim is to understand how the process behaved across the observed period, while recognising that future conditions may differ.

Explore our portfolios to examine their approach and compare historical performance across available periods.