Two Setups at Once: Which One Gets the Risk?
Situation: a 10,000-dollar account. Setup A: a EUR/USD long, stop 25 pips, target 75, a ratio of 3. Setup B: a GBP/USD long, stop 40 pips, target 80, a ratio of 2. Both appear within the hour. Your rule says total risk on one currency theme, here dollar weakness, may not exceed 1.2 percent.
Check the overlap. Both are long a non-dollar currency against the dollar. If the dollar rises, both stop out together. They count as one theme.
Sizing. If you take both at 1 percent each, the theme risk is 2 percent, above your limit. Options: take both at 0.6 percent each, for a total of 1.2 percent. Or take only the better one, at 1 percent.
Compute the lots. At 0.6 percent, risk 60 dollars each. EUR/USD: 60 divided by 250 per lot, 0.24 lots. GBP/USD: 60 divided by 400, 0.15 lots.
Expected value, assuming equal win probability of 40 percent. A: 0.4 times 3 minus 0.6, which is 0.6R. B: 0.4 times 2 minus 0.6, which is 0.2R. At 0.6 percent each, the total expected is about 0.36 percent for A plus 0.12 percent for B, which is 0.48 percent. Taking only A at 1 percent gives 0.6 percent. So concentrating on the better setup yields a higher expected return for the same theme risk, under these assumptions.
The expected values assume a win probability that may differ between setups. Use your own data.
Rule: when two setups share a theme, rank them by expectancy and allocate the budget to the best.
Exercise: write the theme risk limits for your usual pairs.
Two Setups at Once: Which One Gets the Risk?
Two Setups at Once: Which One Gets the Risk?
It’s Fairman 
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Shadow Trader
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Re: Two Setups at Once: Which One Gets the Risk?
A trader running two accounts at different brokers puts the charts side by side. The same minute shows a high of 1.0842 on one and 1.0845 on the other. The close differs by half a pip. One candle has a long upper wick and the other barely has one.
First reaction is usually suspicion. Surely one of them is manipulating the feed. Sometimes that happens, but the boring explanations come first.
Each broker builds its price from a different set of liquidity providers, and each aggregates them differently. Fastest quote, best bid and offer, weighted average. The brief spike that appears at one broker might never have appeared at another because its source didn't print that quote.
Then there's filtering. Some brokers smooth out odd ticks. Others pass everything through.
Then there's latency. A feed that's 200ms behind will show a different candle boundary.
For a scalper using wick-based or tight-range patterns, this matters. A rule that triggers on a wick of at least two pips will fire at different times on each broker.
The practical lesson is to backtest and trade on the same feed. Using one data source for research and a different one for execution adds a gap that no strategy can fix.
Have the same strategy's signals matched across two brokers, or has the signal count differed noticeably?
First reaction is usually suspicion. Surely one of them is manipulating the feed. Sometimes that happens, but the boring explanations come first.
Each broker builds its price from a different set of liquidity providers, and each aggregates them differently. Fastest quote, best bid and offer, weighted average. The brief spike that appears at one broker might never have appeared at another because its source didn't print that quote.
Then there's filtering. Some brokers smooth out odd ticks. Others pass everything through.
Then there's latency. A feed that's 200ms behind will show a different candle boundary.
For a scalper using wick-based or tight-range patterns, this matters. A rule that triggers on a wick of at least two pips will fire at different times on each broker.
The practical lesson is to backtest and trade on the same feed. Using one data source for research and a different one for execution adds a gap that no strategy can fix.
Have the same strategy's signals matched across two brokers, or has the signal count differed noticeably?