Image<\/a><\/p>\n Trading is a numbers game, but it\u2019s also a test of discipline, patience, and the ability to stick to a plan. Everyone has their favorite patterns, indicators, or \u201csecret setups,\u201d but the real question is: do they work consistently in real trading conditions? I wanted to find out for\u00a0myself.<\/p>\n Over the past few weeks, I took 100 trades using just one simple trading pattern<\/strong>. No fancy strategies, no multiple indicators, just one repeatable setup. I tracked every trade, recorded every win and loss, and analyzed everything to see whether a single pattern could produce consistent results. Here\u2019s my full experience, stats, and lessons\u00a0learned.<\/p>\n I decided to use the EMA crossover with RSI confirmation<\/strong>, a pattern that\u2019s widely discussed in crypto trading communities. It\u2019s simple enough for beginners to understand but can still be powerful in trending\u00a0markets.<\/p>\n Here\u2019s the\u00a0setup:<\/p>\n Entry Rule (Long):<\/strong> EMA 9 crosses above EMA 21 and RSI is below\u00a070.Entry Rule (Short):<\/strong> EMA 9 crosses below EMA 21 and RSI is above\u00a030.Exit Rule:<\/strong> Close the trade when EMA 9 crosses back, or when RSI signals the opposite.Stop Loss:<\/strong> 0.5% per\u00a0trade.Take Profit:<\/strong> 1% per\u00a0trade.<\/p>\n The simplicity was intentional. I wanted to test the pattern on its own, without overcomplicating things with dozens of indicators or complex\u00a0signals.<\/p>\n I traded BTC\/USDT and ETH\/USDT<\/strong>, mainly on 15-minute charts, which offered a balance between seeing enough trades per day and not being overwhelmed by noise like on 1-minute\u00a0charts.<\/p>\n I documented every single\u00a0trade:<\/p>\n Entry price and exit\u00a0priceTrade outcome (win, loss, break-even)Market conditions (trending, sideways, volatile)Notes about emotions or\u00a0mistakes<\/p>\n The goal was to see whether one pattern could survive in different market conditions and whether a trader could remain disciplined over a large sample\u00a0size.<\/p>\n The first 20 trades were a mixture of excitement and frustration.<\/p>\n Wins:<\/strong> 11Losses:<\/strong> 9<\/p>\n At first, it felt promising. The EMA crossover with RSI confirmation caught some solid trends in BTC, and I started seeing small profits accumulate. But it wasn\u2019t perfect. Sideways or choppy markets led to false signals, and a few trades hit stop losses within\u00a0minutes.<\/p>\n Context is critical.<\/strong> Even a reliable pattern fails in a flat\u00a0market.Patience matters.<\/strong> Waiting for confirmation\u200a\u2014\u200aeven one extra candle\u200a\u2014\u200acould save you from a fake\u00a0signal.Emotions are dangerous.<\/strong> I had a few moments of hesitation that caused me to enter too late, missing\u00a0profits.<\/p>\n By the 30th trade, reality began to hit. Not every setup was profitable. Some trades looked perfect on the chart but immediately reversed.<\/p>\n Wins:<\/strong> 17Losses:<\/strong> 13<\/p>\n At this stage, I noticed a trend: the pattern worked best in trending markets. When BTC or ETH was moving in a clear direction, the EMA crossover consistently indicated entry points. But in low volatility periods, it produced almost as many losses as\u00a0wins.<\/p>\n I also learned that documenting trades is invaluable. Seeing your own mistakes on paper\u200a\u2014\u200aor in a spreadsheet\u200a\u2014\u200aprevents repeating them. For example, I realized I often ignored the larger trend, which sometimes caused a winning setup to\u00a0fail.<\/p>\n Halfway through, I decided to tweak my approach slightly without abandoning the core pattern. I\u00a0started:<\/p>\n Filtering trades to only align with the overall market\u00a0trendAvoiding trades when RSI was extremely overbought or oversold, even if EMA conditions were\u00a0metSkipping trades during low-volume hours<\/p>\n These adjustments improved results. The win rate increased, and losses became smaller. It reinforced an important lesson: a pattern alone is rarely enough. Context and discipline matter just as\u00a0much.<\/p>\n The final 20 trades felt smoother. By this point, I had a\u00a0rhythm:<\/p>\n Identify the\u00a0setupCheck market trend and\u00a0volumeExecute with clear stop loss and take\u00a0profitRecord every\u00a0detail<\/p>\n This approach reduced impulsive decisions and allowed the pattern to perform closer to its theoretical potential.<\/p>\n By the 100th\u00a0trade:<\/p>\n Total Wins:<\/strong>\u00a057Total Losses:<\/strong>\u00a043<\/p>\n Overall, the pattern was profitable\u200a\u2014\u200abut just barely. Most wins were small, and a few larger losses offset some gains. Still, the experiment proved that even a simple, repeatable pattern can work if applied with discipline and market awareness.<\/p>\n Simplicity<\/strong>\u200a\u2014\u200aUsing one clear pattern kept decision-making straightforward.Consistency<\/strong>\u200a\u2014\u200aThe pattern could be applied repeatedly without confusion.Trend Alignment<\/strong>\u200a\u2014\u200aTrades taken in the direction of the larger trend had much higher\u00a0success.Record-Keeping<\/strong>\u200a\u2014\u200aDocumenting every trade helped identify mistakes and improve execution.<\/p>\n Sideways Markets<\/strong>\u200a\u2014\u200aEMA crossovers produced many false signals when the market was\u00a0choppy.Ignoring Context<\/strong>\u200a\u2014\u200aEarly in the experiment, I took trades without considering the bigger picture, which led to\u00a0losses.Overconfidence<\/strong>\u200a\u2014\u200aSeeing early wins made me slightly careless, resulting in avoidable losses.Emotional Fatigue<\/strong>\u200a\u2014\u200a100 trades is mentally taxing, and decision fatigue can lead to mistakes.<\/p>\n Patterns Are Tools, Not Guarantees<\/strong>\u200a\u2014\u200aNo setup works 100% of the time. Patterns provide probabilities, not certainties.Market Conditions Matter<\/strong>\u200a\u2014\u200aTrend, volatility, and volume all influence outcomes.Discipline is Key<\/strong>\u200a\u2014\u200aSticking to your rules\u200a\u2014\u200aeven when tempted to deviate\u200a\u2014\u200ais what separates consistent traders from inconsistent ones.Track Everything<\/strong>\u200a\u2014\u200aRecording trades helps refine strategies and reduces repeated mistakes.Adapt, Don\u2019t Abandon<\/strong>\u200a\u2014\u200aSmall tweaks to filter trades based on trend or volume significantly improved\u00a0results.<\/p>\n Taking 100 trades using a single pattern taught me more than months of casual trading. It forced me to confront my weaknesses: impatience, overconfidence, and the temptation to override my\u00a0rules.<\/p>\n It also reinforced a truth every trader eventually learns: there is no perfect setup.<\/strong> Success comes from disciplined execution, context awareness, and careful risk management\u200a\u2014\u200anot from any single\u00a0pattern.<\/p>\n Start with one pattern and test it thoroughly before adding complexity.Only trade when the market conditions favor your\u00a0setup.Document every trade; analysis is more important than intuition.Accept losses\u200a\u2014\u200athey are part of trading, even with the \u201cperfect\u201d setup.Focus on quality trades over quantity; not every signal is worth\u00a0taking.<\/p>\n Would I trade only this pattern forever? No. But taking 100 trades with it was an invaluable experiment. It showed that simple, repeatable patterns can work, but only when combined with patience, discipline, and awareness of the bigger market\u00a0picture.<\/p>\n Trading is not about finding magic formulas\u200a\u2014\u200ait\u2019s about applying consistent rules in the right context, managing risk, and learning from every\u00a0trade.<\/p>\n For anyone wondering if a single pattern can be profitable: yes, it can, but the key isn\u2019t the pattern\u200a\u2014\u200ait\u2019s how you use\u00a0it.<\/p>\n I Took 100 Trades Using One Pattern\u200a\u2014\u200aHere Are the Stats<\/a> was originally published in Coinmonks<\/a> on Medium, where people are continuing the conversation by highlighting and responding to this story.<\/p>","protected":false},"excerpt":{"rendered":" I Took 100 Trades Using One Pattern\u200a\u2014\u200aHere Are the\u00a0Stats Image Trading is a numbers game, but it\u2019s also a test of discipline, patience, and the ability to stick to a plan. Everyone has their favorite patterns, indicators, or \u201csecret setups,\u201d but the real question is: do they work consistently in real trading conditions? I wanted […]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-92256","post","type-post","status-publish","format-standard","hentry","category-interesting"],"_links":{"self":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts\/92256"}],"collection":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=92256"}],"version-history":[{"count":0,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts\/92256\/revisions"}],"wp:attachment":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=92256"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=92256"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=92256"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Choosing the\u00a0Pattern<\/h3>\n
Preparing for the Experiment<\/h3>\n
Trades 1\u201320: The Early\u00a0Days<\/h3>\n
Key Takeaways From Early\u00a0Trades<\/h3>\n
Trades 21\u201350: Reality Sets\u00a0In<\/h3>\n
Trades 51\u201380: Adjusting to Market Conditions<\/h3>\n
Trades 81\u2013100: Finishing Strong<\/h3>\n
What Worked<\/h3>\n
What Didn\u2019t\u00a0Work<\/h3>\n
Lessons Learned<\/h3>\n
Reflections on the Experiment<\/h3>\n
Practical Takeaways for\u00a0Traders<\/h3>\n
Final Thoughts<\/h3>\n