Every week, we sit down and do the same thing. We run through our signals, assess performance, and look for patterns. Not to celebrate wins or bury losses — but to learn.
This post walks you through exactly how we do that. Use this framework for your own trading week.
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What We Track Each Week
Raw pips tell you almost nothing. Here's what actually matters.
R-Multiples
Every signal carries a defined risk. We measure outcomes in R — how many times the initial risk was won or lost. A 3R win on a small position beats a 50-pip gain on an oversized one. R-multiples normalise performance across different pairs and position sizes.
Win Rate by Mode
We separate scalp, intraday, and swing signals. Win rate across these modes rarely moves in lockstep. A week where scalps underperform might see swing signals thrive. Tracking mode-level win rate stops you drawing the wrong conclusions.
Recovery Tier Status
We use a tiered drawdown system. Each tier triggers a protocol — reduced sizing, tighter filters, or a pause on lower-conviction setups. At the end of each week, we log which tier we're operating in. It keeps risk management consistent, not emotional.
Pair-Level Performance
Some pairs cluster. EUR/USD and GBP/USD often behave similarly. If both underperformed this week, that's one data point — not two. We track correlation-adjusted performance so we're not double-counting correlated losses.
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Framework for Evaluating Your Own Week
Start here: measure in R, not pips.
Take every trade from the week. Calculate how much you risked (1R). Then measure the actual outcome as a multiple of that. A week with three 1R losses and two 2R wins is a positive week. Most traders miss that because they focus on the loss count.
Drawdown, not just P&L
Your end-of-week P&L might be flat. But if you were down 6% mid-week before recovering, that's a risk management story worth examining. Peak-to-trough drawdown within the week tells you whether your sizing and stop placement held up under pressure.
Separate process from outcome
Did you follow your rules? That's a process question. Did the market cooperate? That's an outcome question. A disciplined losing week beats an undisciplined winning week every time — because the latter isn't repeatable.
Ask yourself three things:
- Did I respect my risk per trade?
- Did I take setups outside my defined criteria?
- Did I exit early or move stops without a rules-based reason?
Honest answers here matter more than the P&L number.
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Common Patterns We See
A few things show up repeatedly in weekly reviews.
Session-based divergence
London open signals often perform differently from New York afternoon signals. Liquidity drops off. Spreads widen. Signals that work at 8am GMT don't always work at 7pm EST. If you're trading all sessions equally, you may be diluting your edge.
Pair clustering in trending weeks
When a macro theme dominates — dollar strength, risk-off sentiment — correlated pairs move together. Taking five USD signals in the same direction isn't five independent trades. It's one thesis, five times. We flag this in our own reviews. You should too.
Scalp vs swing divergence
Short-term signals react to noise. Swing signals filter it out. In choppy, range-bound weeks, scalp win rates often fall while swing signals hold up. Knowing which environment you're in helps you weight your signal modes appropriately.
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When a Bad Week Isn't a Bad System
One week is roughly 20–30 trade opportunities. That's not a statistically significant sample. Not even close.
A system with a 55% win rate will still produce losing weeks. Regularly. That's not a flaw — it's probability. The question isn't "did this week work?" It's "is performance consistent with the system's expected distribution over 200+ trades?"
We track rolling 30-trade and 100-trade windows. Single-week performance barely registers in that context. If you're abandoning a strategy after one bad week, you're not evaluating a system — you're reacting to noise.
Variance is real. Respect it.
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FAQ
How many trades should I review before drawing conclusions?
We recommend at least 50–100 trades before assessing a strategy's true edge. Weekly reviews are useful for process checks, not system verdicts.
Should I track win rate or R-multiple expectancy?
Expectancy — average R per trade — is more useful. A 40% win rate with a 3R average winner beats a 70% win rate with a 0.8R average winner.
What if my results look very different from your signals?
Execution timing, spread, and sizing all affect real-world outcomes. That's one reason VIP tier delivers signals in real time — at tradingforge.io.
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Want to see how our signals look before they're graded? Join our free Telegram channel. Same signals as VIP, with a short delay. No commitment required.
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This content is educational only. Nothing here constitutes financial advice or a recommendation to buy or sell any financial instrument. Trading involves significant risk of loss. Past signal performance is not indicative of future results. Trade Forge operates to FCA/ASIC-aligned standards. Always ensure trading is appropriate for your personal financial circumstances.