1312 - The 3-Step System to Build a Profitable Trading Strategy

Akil Stokes breaks down strategy creation into three distinct stages—Learn, Test, Refine—emphasizing that solid technical‑analysis fundamentals are the foundation. He warns traders to pick systems they can actually execute, matching skill level, daily schedule, and personal enthusiasm. The analogy of mastering basic dribbling before flashy moves illustrates why a strategy must feel comfortable before scaling. Without this alignment, even a mathematically sound edge can become unsustainable, leading to burnout. By treating trading as a business that also needs genuine interest, traders increase the odds of staying disciplined through volatile market cycles.

The episode then dives into backtesting, stressing that data collection alone isn’t enough; the process should generate the right questions about risk, reward, and market behavior. Stokes cites a rule of thumb: around 350 trades provide a robust statistical sample, while 100 trades are the minimum acceptable threshold for most retail traders. He also adds a temporal component—testing over five to ten years—to ensure the strategy survives trending, ranging, and high‑volatility environments. This dual focus on sample size and market diversity helps avoid the false confidence that can arise from short‑term, high‑win‑rate results.

Finally, Stokes explains refinement as the ‘magic’ stage where traders tweak entry confirmations, risk‑reward ratios, or timeframes to boost the edge. He likens this to Formula One teams adjusting car components within strict regulations to extract maximum performance. For low‑frequency approaches, a 60‑trade sample may be acceptable if it spans multiple market regimes, though a larger set still offers better peace of mind. His practical advice: keep testing, document every change, and only scale once the strategy consistently meets the 100‑trade benchmark. Listeners are encouraged to subscribe, follow the YouTube channel, and apply these principles to build profitable, resilient trading systems.