BotiTrader

In today’s fast-paced world, the value of knowledge sharing cannot be overstated. Whether we are professionals, hobbyists, or lifelong learners, exchanging ideas and experiences helps us grow individually and as a community. One of the most powerful aspects of knowledge sharing is how it fosters collaboration. By sharing insights, we not only help others but also refine our own understanding. A well-informed community is more innovative, effective, and supportive. Here are a few ways we can enhance knowledge sharing in our community: Encouraging Open Discussions – Everyone has unique experiences and expertise. Creating a space where people feel comfortable sharing their knowledge can lead to enriching conversations. Building a Culture of Learning – When we embrace the mindset that there is always more to learn, we inspire others to do the same. How do you approach learning something new? Leveraging Different Formats – People absorb information differently. Whether through written guides, video tutorials, or interactive discussions, providing multiple formats makes sharing more accessible. I’d love to hear your thoughts: How do you personally contribute to knowledge sharing in your field or community? What challenges have you faced in encouraging collaboration and learning? Are there any tools or platforms that have helped you share knowledge effectively? Let’s discuss how we can continue to build a thriving, knowledgeable community together!

Chris, these are great points, and I completely agree that improving execution assumptions and API capabilities would benefit systematic traders. One area I’d like to add to this discussion is the importance of adaptive parameter tuning within backtesting frameworks. Currently, many platforms use static parameters throughout a backtest, but real markets are dynamic. Having built-in support for regime detection (e.g., volatility shifts, market structure changes) and adaptive parameter adjustments within backtests could provide a more realistic evaluation of strategy robustness. Have you experimented with any external libraries or custom implementations to incorporate this? Additionally, from an API standpoint, improving access to L2 order book data could unlock valuable insights for those developing execution algorithms. The ability to backtest strategies against historical order book snapshots would be a game-changer for those focusing on market-making or high-frequency trading strategies. Would love to hear if others have workarounds for integrating order book data into their current backtest setups. Looking forward to hearing more thoughts—there’s a lot of potential for refining these tools!

@Chris You bring up a great point about ensuring consistency across different timeframes. Since higher timeframe bars don’t align perfectly with lower ones, a good approach is to verify the signal using the last completed bar of the higher timeframe. You might want to use iBarShift() carefully to make sure you're referencing the correct bar, avoiding unexpected skips due to slight timing mismatches. Logging the values during live testing can help confirm whether the logic behaves as expected. Let us know how your testing goes!

As active members of this community, your insights and feedback play a crucial role in shaping the future of our forum. We strive to create an engaging, user-friendly space where discussions flow smoothly, and every voice is heard. With that in mind, I’d love to gather your thoughts on how we can improve the overall experience. Are there any features you feel are missing? Perhaps certain aspects of navigation could be more intuitive? Maybe there are specific discussion guidelines that could be refined to encourage even better interactions? Additionally, I’d love to hear what you enjoy most about the forum. What features, topics, or discussions have been particularly helpful or engaging for you? Recognizing what works well will help us retain and build upon the aspects that make this community special. Your feedback, whether big or small, is invaluable in helping us grow and improve. Please share your thoughts in the comments—I’m looking forward to hearing your perspectives! What would make your experience even better?