{"id":667391,"date":"2025-09-17T14:42:09","date_gmt":"2025-09-17T12:42:09","guid":{"rendered":"https:\/\/ftmo.com\/?p=667391"},"modified":"2025-09-17T17:36:08","modified_gmt":"2025-09-17T15:36:08","slug":"lucros-solidos-apesar-de-uma-baixa-taxa-de-sucesso-a-paciencia-compensa_","status":"publish","type":"post","link":"https:\/\/ftmo.com\/pt\/lucros-solidos-apesar-de-uma-baixa-taxa-de-sucesso-a-paciencia-compensa_\/","title":{"rendered":"Lucros S\u00f3lidos Apesar de uma Baixa Taxa de Sucesso: A Paci\u00eancia Compensa"},"content":{"rendered":"
In the next part of our Successful Trader Stories, we take a look at a trader who proved that you don\u2019t need a high win rate to achieve strong results. What made the difference was his outstanding Reward-to-Risk Ratio of 3.44 and his ability to stay calm during losing streaks. This approach isn\u2019t for everyone though. It requires nerves of steel and the patience to let winners run while cutting losses effectively.<\/span><\/em><\/p>\n The equity curve tells the story of determination. Starting with a $100,000 FTMO Account, the trader grew his balance to <\/span>$120,812.27<\/strong>, achieving a <\/span>20.8% profit<\/strong> in just over a month. The path wasn\u2019t smooth: after early gains came several pullbacks, but he managed to recover and finish the cycle strongly in profit.<\/span><\/p>\n This performance highlights his discipline \u2013 no reckless revenge trading, just consistent execution of his plan.<\/span><\/p>\n At first glance, his <\/span>Win Rate of just 27.23%<\/strong> may look discouraging. But the power of his system lay elsewhere. His <\/span>average winning trade brought nearly $1,800, while his average loss was contained to about $520. That\u2019s more than a<\/strong> <\/span>3:1 reward-to-risk ratio<\/strong>, which gave him the edge needed to stay profitable despite frequent small losses.<\/span><\/p>\n The result? A profit factor of 1.29 and proof that <\/span>trading success doesn\u2019t require being right most of the time<\/strong> \u2013 it requires making more on your winners than you give back on your losers.<\/span><\/p>\n The most difficult moment came on <\/span>6 August<\/strong>, when the trader experienced a <\/span>Daily Loss of \u2013$3,907.78<\/strong> and strung together <\/span>nine losing trades in a row<\/strong>.<\/span><\/p>\n For many traders, this would be the point where emotions take over and the account spirals out of control. But here, discipline made the difference. He respected his Max Daily Loss<\/strong>, stopped trading before breaking limits, and returned the next days with renewed focus.<\/span><\/p>\n Looking deeper into his trading activity, we can see a diverse mix of instruments: gold (XAUUSD), indices like US500.cash, and even cryptocurrencies such as ETHUSD and XRPUSD. Despite this variety, one thing stands out \u2013 the trader remained consistent in his approach.<\/span><\/p>\n While he occasionally took short trades, the clear majority of his positions were longs. This shows he was confident in reading bullish momentum, yet he still demonstrated flexibility when market conditions called for it. Always with risk control in mind.<\/span><\/p>\nA Balance Curve With Steady Resilience<\/h2>\n
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<\/a><\/p>\nNumbers That Prove the Edge<\/h2>\n
<\/p>\nA Nerve-Testing Day: 6 August<\/h2>\n
<\/p>\nFocused but Flexible Approach to Instruments<\/h2>\n
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