Every forex educator has a theory about why you overtrade. You are bored. You are undisciplined. You are addicted to the dopamine. Maybe. But "you lack discipline" is not a cause, it is a restatement of the problem with a moral flavour added. If you actually want to trade less, you have to find the specific incentive that is paying you to trade more, and that incentive is almost always sitting in your data.
Overtrading is not one behaviour. It is a symptom with several different causes, and the fix depends entirely on which cause you have. So the first job is diagnosis, not resolution.
First, define it in a way you can measure
"Trading too much" is useless as a metric, because the right number of trades is different for a scalper and a swing trader. Raw trade count tells you nothing on its own, which is one reason it belongs among the metrics that do not matter when you stare at it in isolation. Overtrading is not high volume. It is volume that does not pay.
The measurable definition is this: you are overtrading when your marginal trades lose money. Rank your trades by something you record (setup quality, conviction, whatever you tag), and if the bottom slice has negative expectancy while the top slice is positive, the bottom slice is your overtrading, by definition. You are not trading too much in general. You are trading a specific tier of low-quality setups that you would be better off never taking.
That reframing matters, because it turns "trade less" into "stop taking these specific trades", which is a rule you can write down and check.
The real causes, and how each one shows up
Cause one: your bar for entry is too low. This is the most common and the least dramatic. You do not have a boredom problem, you have a criteria problem. Your setup is defined loosely enough that dozens of things qualify, so you take dozens of things. The tell in your data is a high trade count spread across many half-matched conditions, with the losses living in the low-conviction bucket. The fix is not willpower, it is a stricter definition of what counts as your setup.
Cause two: you are trading to feel engaged, not to make money. This is the boredom version, and it is real, but it has a specific signature. The trades cluster in quiet conditions, during dead sessions, when nothing is really happening. You are manufacturing action. The data tell is that your worst expectancy sits in the lowest-volatility hours or the flat ranges between real moves. If your journal logs the session or the volatility state, this one lights up immediately.
Cause three: you are chasing losses. This is overtrading driven by the last result rather than the market, and it overlaps heavily with revenge trading. The signature is entries bunched tightly after losses, often larger than usual. If you have not measured this, the method for isolating it is the same one in the piece on how to stop revenge trading : bucket your trades by time since the last loss and compare.
Cause four: you undertrade your good setups and overtrade your mediocre ones. This is the sneaky one. Total count looks fine, even low. But the composition is wrong. You hesitate on your A-setups because they are scary and rare, then fill the gap with B and C setups that are easy and available. Net, you look patient and are actually trading the wrong book. The tell is that your highest-expectancy tag has a low trade count and your lowest-expectancy tag has a high one.
How to catch it in your journal
You cannot fix any of this from an equity curve, because the curve blends the good trades and the junk into one line. You need the trades tagged in a way that lets you slice them. At a minimum, tag every trade with the setup name, a conviction level you assign at entry, and the market state (session, and roughly how much was moving). Those three fields turn "am I overtrading" from a feeling into a query.
Then the analysis is simple. Group by conviction and read the expectancy per tier. Group by session and read the expectancy per session. Group by setup and read the expectancy per setup. In every case you are hunting the same thing: a tier with lots of trades and negative expectancy. That tier is your overtrading, named and quantified. In TradeSave+ the fields you invent become filters and statistics automatically, so you can build those groupings without a spreadsheet, and the Edges and Leaks analyser surfaces the losing tier for you by ranking behaviours on their P&L impact.
The fixes, matched to the cause
If your bar is too low , tighten the setup definition until the marginal tier disappears. Write the criteria as a checklist. If a trade does not tick every box, it is not a trade. You will take fewer trades and your expectancy per trade will rise, which is the entire point.
If you trade out of boredom , the fix is a rule that ties trading to conditions, not to time in the chair. No qualifying setup, no trade, and being sat at the screen is not a reason to hold a position. Some traders find it helps to log the boredom trades they did not take, so the discipline earns a visible count instead of feeling like pure denial.
If you are chasing losses , use a daily loss limit and a cooldown after losers. The mechanics are covered in the revenge trading piece, but the short version is that you remove the ability to re-enter in the window where your history proves you do damage.
If you are trading the wrong book , the fix is not to trade less, it is to trade differently. Force yourself onto the A-setups by pre-committing to them, and starve the B and C tier by making them ineligible. This is the rare case where the answer to overtrading is to take your good trades more aggressively, not to sit on your hands. Working out which trades those are is its own exercise, covered in finding your edge from your journal .
Measure whether it worked
Whatever you change, keep the marginal tier as a standing metric. Track its trade count and its expectancy month over month. Success is not zero trades, it is the losing tier shrinking towards nothing while your overall expectancy holds or rises. If you cut your trade count in half and your expectancy did not improve, you cut the wrong trades, and you should put some of them back.
That last point is the one most discipline advice gets wrong. Trading less is not a virtue in itself. Trading less of what loses is. The only way to tell the difference is to have your trades tagged well enough that the journal can show you which is which, and then to actually go and look.