Not every currency pair is suitable for systematic trading. Choosing the right pairs is one of the most fundamental—and most frequently underestimated—decisions when developing a rule-based FX strategy. The wrong pair can cause an otherwise sound strategy to fail—not because the logic is flawed, but because the pair’s market environment structurally disadvantages the strategy.
Why Mate Selection Is More Important Than Most People Think
When evaluating an FX strategy, many investors—and even many traders—focus on the trading logic: When to buy, when to sell, and how to lock in profits? These are important questions. But they take a back seat to a more fundamental question: In which market is the trading taking place?
Here’s a simple analogy: An excellent tennis player will perform worse on a poorly maintained clay court with an uneven surface than on a perfectly prepared hard court. His technique is the same—but the environment puts him at a structural disadvantage. The same applies to trading strategies: Even the best logic will only work reliably if the market environment meets the basic requirements.
1000FTAD AG has structured its pair selection around three clear criteria: liquidity, market depth, and correlation logic. Each criterion addresses a different structural weakness that can undermine a strategy.
Criterion 1: Liquidity—the Invisible Source of Costs
Liquidity is the fundamental prerequisite for any systematic trading approach—and, at the same time, the most frequently underestimated source of costs.
In a liquid market, the spread—that is, the difference between the bid and ask prices—is narrow. For EUR/USD, it typically ranges from 0.1 to 0.3 pips. For an exotic pair like USD/TRY, it can range from 10 to 30 pips or more. This may sound abstract—but it has concrete implications: Every trade starts with a loss equal to the spread. The narrower the spread, the smaller the structural disadvantage.
For a strategy that executes many trades, this difference adds up to a massive cost factor. Let’s take a simple example: A strategy executes 500 trades per year. With an average spread of 0.2 pips (EUR/USD), spread costs amount to 100 pips. With an average spread of 15 pips (exotic pair), spread costs amount to 7,500 pips—75 times as much. A strategy that is profitable on EUR/USD can become unprofitable on an exotic pair due to spread costs alone.
Only highly liquid currency pairs are considered. Pairs such as EUR/USD, USD/CHF, and GBP/USD are among the most actively traded markets in the world—with tight spreads, reliable execution, and deep markets that can absorb even large volumes without slippage.
Criterion 2: Market Depth – Execution Quality Under Stress
Market depth and liquidity are often confused—but they describe different characteristics of a market.
Liquidity describes how easy it is to open or close a position at a fair price. Market depth describes how much volume the market can absorb without causing a significant price movement. A market can be superficially liquid—with many transactions and tight spreads—but still have shallow depth if large orders cause significant price movements.
For rule-based strategies, market depth is particularly critical in two situations:
Situation 1: Simultaneous Execution of Multiple Orders
A fully automated system can open or close positions in multiple pairs simultaneously. If the market isn't deep enough, the system moves the price with its own orders—thereby compromising its own execution quality.
Situation 2: Periods of Stress and Market Liberalization
In the first few minutes following major news events or central bank decisions, market depth can decline sharply in the short term—even in standard currency pairs. In thin markets, it can collapse entirely. Orders are then executed at prices significantly worse than expected—an effect known as slippage, which can have a significant negative impact on strategies.
1000FTAD AG selects only those pairs that offer sufficient market depth even under stress—ensuring that execution quality remains consistent regardless of market conditions.
Criterion 3: Correlation Logic—the most important and most overlooked criterion
Correlation is a concept that most investors are familiar with—but few truly understand its implications.
Two currency pairs are positively correlated if they tend to move in the same direction. EUR/USD and GBP/USD are strongly positively correlated: Both react similarly to strength or weakness in the USD. AUD/USD and NZD/USD are also strongly correlated: Both are driven by risk-on/risk-off movements and commodity prices.
What does this mean for a strategy that trades both pairs? If the dollar strengthens, both positions lose value at the same time. The risk is not diversified—it is concentrated. Anyone trading EUR/USD, GBP/USD, and AUD/USD at the same time effectively holds the same position three times over.
1000FTAD AG structures its pair selection so that the selected pairs have different primary drivers:
- EUR/USD: Primarily driven by Fed/ECB divergence and eurozone economic data
- USD/CHF: Primarily driven by risk-off movements and SNB policy
- GBP/USD: Primarily driven by U.K. economic data and BoE policy
- USD/JPY: Primarily driven by U.S. interest rates and Japanese monetary policy (BoJ)
There are overlaps—all four pairs react to movements in the USD. But the secondary drivers are different enough that they do not all move in the same direction at the same time. This keeps the portfolio’s overall risk manageable.
The most commonly overlooked criterion: If you trade ten currency pairs that are all positively correlated, you are effectively exposing yourself to the same risk tenfold. 1000FTAD AG ensures that the selected pairs have different drivers—this keeps the overall risk manageable without reducing the number of trading opportunities.
What this means for investors in practice
The combination of liquidity, market depth, and correlation logic results in a portfolio of currency pairs that combines three characteristics that rarely occur together:
- Broad Diversification: Different Drivers, Different Market Environments, Different Response Patterns
- Low structural costs: Tight spreads, reliable execution, no slippage issues
- Controlled correlation risk: No uncontrolled risk concentration due to highly correlated pairs
The difference between a well-thought-out and a random choice of pairs isn't apparent during calm market conditions. It becomes evident precisely when liquidity comes under stress, when spreads widen, and when correlations suddenly jump to one—because all market participants are fleeing in the same direction at the same time.
In moments like these, a carefully considered choice of partner is not a comfort—it is a structural safeguard.
