{"id":2805,"date":"2026-08-14T13:19:23","date_gmt":"2026-08-14T13:19:23","guid":{"rendered":"https:\/\/ftmo.com\/au\/?p=2805"},"modified":"2026-08-14T13:19:26","modified_gmt":"2026-08-14T13:19:26","slug":"where-to-find-profitable-trading-strategies","status":"publish","type":"post","link":"https:\/\/ftmo.com\/au\/blog\/where-to-find-profitable-trading-strategies\/","title":{"rendered":"Where to Find Profitable Trading Strategies?"},"content":{"rendered":"\n

You’re starting to trade but don’t have a solid strategy. Or you’ve tested one and realised it’s not as profitable as you thought. Sound familiar? <\/em><\/p>\n\n\n\n

The good news:<\/em><\/strong> you’re not the first. Profitable trading ideas exist out there, they’re just not in the usual places most beginners look. Below we’ve compiled a few sources where professional traders and researchers actually find their edge.<\/em><\/p>\n\n\n\n

Academic Research: SSRN, arXiv, Google Scholar<\/h2>\n\n\n\n

The richest source of strategies is academic research<\/strong>. On SSRN<\/strong><\/a> (Social Science Research Network)<\/strong>, you’ll find thousands of studies by financial academics on momentum effects, factor investing, seasonality and market anomalies. Most papers appear here before formal journal publication.<\/p>\n\n\n\n

ArXiv q-fin<\/strong><\/a> is home to mathematically rigorous work on machine learning and quantitative methods, while Google Scholar<\/strong><\/a> serves as the perfect tool to filter through these platforms and find the most cited studies. The advantage here is that every strategy comes with documented logic and statistical significance, not just a feeling that something works.<\/p>\n\n\n\n\n\n\n

Communities, YouTube and Discord<\/h2>\n\n\n\n

QuantConnect’s forum<\/strong><\/a> and Reddit <\/strong>are communities where traders discuss strategies, strategy implementation and debugging approaches. You’ll find real-world experience and honest feedback from people who’ve tested similar ideas.<\/p>\n\n\n\n

YouTube channels<\/strong> on quantitative trading offer visual breakdowns of how systems work, while Discord communities<\/strong><\/a> provide real-time discussions and peer feedback. Additionally, here on the <\/strong>FTMO blog<\/strong><\/a>, <\/strong>we break down strategies with entry logic and risk management, offering ready-made building blocks you can adapt.<\/p>\n\n\n\n

The AI Advantage: From Concept to Code <\/h2>\n\n\n\n

Artificial intelligence dramatically shortens the path from idea to working, backtestable code. Two main use cases:<\/p>\n\n\n\n