Before you follow a strategy: what the backtest posts are actually telling you

Why this post exists

Every backtest we publish on Altcopy follows the same structure: in-sample period, out-of-sample period, trade counts, win rates, drawdowns, profit factors. The numbers are detailed by design. But a spreadsheet of metrics does not prepare you emotionally for what it feels like to watch your account drop 40% in a month while a strategy you are following continues to hold or re-enter positions.

This post is not about a specific asset or a specific result. It is about how to read the backtest series as a whole — and what you should expect to experience if you follow one of these strategies in real conditions. Before you start, not after.

The drawdown is in the data. Read it first.

Every backtest in this series reports maximum drawdown at the intrabar level. That means the worst case is already visible. Here is what the out-of-sample drawdowns looked like across the assets we have tested so far:

• BTCUSDT: −62.05% from peak
• ETHUSDT: −33.77% from peak
• SOLUSDT: −47.16% from peak
• AVAXUSDT: −47.75% from peak

These are not edge cases or worst-case projections. These are the actual drawdowns observed in unseen data — data the strategy had not been optimized on. If you are following a strategy with a 50% historical drawdown, you must be prepared to see your account cut in half at some point during a live run. This is not failure. This is the strategy behaving as expected.

The problem is not the drawdown itself. The problem is the investor who did not read the backtest, did not expect the drawdown, and exits at the bottom — locking in the loss and missing the recovery.

Short trades, long horizon

The strategies tested in this series are short-term in their execution: entries and exits are triggered by technical signals, with trades often lasting hours or a few days at most. This creates a specific psychological trap.

Because the trades feel short-term, investors tend to evaluate the strategy on a short-term basis as well. A losing week feels like evidence the strategy has stopped working. A flat month feels like capital being wasted. Neither observation is useful without the context of a full year or more of results.

The backtest data is annual. The performance metrics — CAGR, Sharpe ratio, maximum drawdown — are annual. The appropriate evaluation window for a strategy like this is measured in months, not days. If you are not comfortable holding through a drawdown for at least 60–90 days before re-evaluating, the short-term nature of individual trades will work against your psychology rather than for your account.

Volatility is the mechanism, not the problem

The same volatility that causes 50% drawdowns is also what allows returns of +300% or more in a single year. You cannot have one without the other. Strategies that avoid all drawdowns also avoid the conditions that produce large returns.

When you read that a strategy returned +382% out-of-sample while the underlying asset fell 32%, that result came through a period of sustained volatility, multiple losing streaks, and at least one drawdown large enough to feel catastrophic in the moment. The final equity curve looks smooth from a distance. It does not feel smooth to live through.

Understanding this in advance changes how you respond to it. A 20% intra-month drawdown becomes expected volatility, not a sign that the strategy is broken. The difference in that framing is the difference between staying in a position and abandoning it at the worst possible time.

What to do when you are down

If you are following one of these strategies through a copy trading setup and you find yourself significantly down — say, 30–50% from your peak — the backtest gives you a specific framework for evaluating the situation:

• Is the drawdown within the range observed in the out-of-sample data? If yes, the strategy is behaving as expected.
• Has the underlying asset moved in a way the strategy was never tested against? A structurally different market regime may warrant a genuine review.
• Are you evaluating performance over a sufficient time window? At least three to six months of live data is needed before any meaningful judgment can be made.
• Are you positioned at a size your psychology can actually tolerate? If a 30% drawdown feels unbearable, you are either over-positioned or you have not read the backtest carefully enough.

Closing a position during a drawdown does not protect you — it only converts a paper loss into a realised one and removes you from the recovery. The investors who capture the annual return are the ones who stay through the difficult periods that make it possible.

The backtest series exists for a reason

We publish these results — including the unflattering ones — because investors make better decisions when they have honest data. A strategy with a 60% out-of-sample drawdown and a profit factor above 2.0 is not a comfortable strategy. It is a high-return, high-volatility strategy that requires informed participation.

Informed participation means reading the drawdown numbers before you start, not after you have experienced one. It means understanding that the CAGR figure assumes you stayed invested through every losing period the backtest encountered. And it means treating the annual return as the appropriate unit of measurement, even when the trades themselves are resolved in days.

We will continue publishing results as we test further assets and configurations. Each post in the series adds to the picture. The more of them you read, the clearer the overall risk profile of the strategy becomes — and the better prepared you will be to follow it without making decisions based on short-term noise.