Pretty indicators don't pay the bills. What separates those who last in the market from those who give everything back is the answer to three questions, before entering: where am I wrong (stop)? How much do I gain if I'm right (target)? And when do I exit if the trend simply ends (trend exit)? This guide documents how GraphExpert.AI answers all three.
A stop is not a magic percentage number. It's the point on the chart where the reason for entering ceases to exist. In a pullback buy, this point is the bottom of the correction: if the price goes back below it, the pullback turned into a reversal. In practice, our engine calculates the stop in a cascade:
The ATR (Average True Range) is the ruler for all this: it measures how much the asset moves, on average, per period. An asset that fluctuates 3% a day needs a larger buffer than an asset that fluctuates 0.8%. A stop without ATR is a lottery stop.
If the distance from entry to stop is 1R (one unit of risk), the target must be worth at least 3R. Why? Because with 3:1, you can be wrong on two out of three trades and still make a profit. It's the math of survival: win rates between 35% and 45% are normal even in good trend strategies — what saves you is the asymmetric size of the gain.
A fixed target has a flaw: it takes you out early from the rare trades that pay for the year. We tested, over 15 years of data, two ways to exit a long swing trade:
The difference comes from letting winners run: the trend exit holds the trade for months when the rally is real, and cuts it in weeks when it's not. That's why our scanner cards highlight the line "Trend exit (weekly EMA50)" above the target — the target is a reference for partial profit-taking; the main exit is when the trend ends.
We ran the same methodology on the short side and the result was consistent and uncomfortable: stock shorts lost money in all tested markets — profit factors between 0.2 and 0.6 over 15 years, across different countries' stock exchanges. The structural bullish bias of stock markets, combined with borrowing costs, erodes the technical advantage. The only operable exception we found was fixed income (government bonds), where the symmetry is different. That's why the app marks stock short setups as statistically losing instead of hiding them: seeing the warning teaches more than silence.