- The episode discusses how to evaluate the long-term consistency of copied traders, focusing on sustainable growth and risk control rather than short-term gains. - True consistency means capital grows over time with manageable losses, visible across different market conditions; avoid traders with large drawdowns or profits tied to a single signal. - Practical evaluation steps: - Review history over 18–24 months, noting number of positive months, drawdown depth, and length of losing streaks. - Analyze risk management: position sizing, stops, and loss limits. - Assess performance in various market environments to gauge adaptability. - Consider win rate alongside risk-adjusted returns (average return per trade and gain-to-loss ratio). - Check liquidity and execution quality (slippage and trading costs). - Important caveat: consistency often means a stable long-term trajectory rather than every month being positive. - Action plan for you: - Define return targets and your risk threshold. - Use a minimum evaluation period (e.g., 18 months) and track results monthly. - Compute indicators: average monthly return, % positive months, maximum drawdown and duration, risk/benefit ratio. - Compare with your risk tolerance; adjust diversification or capital allocation as needed. - Start with a demo or small allocation before scaling. - Practical starter: maintain a spreadsheet with month, monthly return, max drawdown, number of trades, win rate, and return per trade; monitor sustainability, loss control, and risk exposure stability; note changes in risk management or strategy if losses occur mid-period. - The podcast also mentions links in the description to copy the host’s strategies and a Telegram group for sharing strategies, with emphasis on transparency and risk monitoring to build trust. - Key takeaway: long-term consistency is driven by disciplined rules, periodic review, and data-driven adjustments, not luck or constant optimization. - If you want deeper help, the host offers guidance to build your own evaluation system for more predictable results. Remeber you can contact me at andresdiaz@bestmanagement.org