[Diary] NMDC Stock SplitThe issue arises when you rely solely on a webhook as your exit strategy, especially in scenarios like today's with NMDC. TradingView’s webhook mechanism, while efficient for many tasks, can create havoc if used indiscriminately for entries, exits, or modifications without human oversight. Today, NMDC is generating a cascade of signals—short, long, SL hit, TGT hit, and more—because the platform hasn’t yet adjusted for the stock split properly. Algorithms dependent on such incomplete or inaccurate data can spiral into a disaster, executing trades based on flawed inputs. This is a clear reminder to always validate your data sources and integrate fallback mechanisms to avoid such pitfalls.
Moreover, this kind of situation can lead to reverse signals that algorithms tuned for mean reversion might latch onto, seeing the seemingly favorable risk-reward (Rr) ratio. However, because the source data lacks significant market influence, the resulting trades could prove inconsequential or even misleading. The broader market may ignore such anomalies, leaving your algorithm chasing shadows.
This highlights the importance of understanding market psychology and herd behavior. Traders often move in predictable patterns, and seemingly unrelated factors can trigger unexpected market reactions. For example, Berkshire Hathaway’s stock once saw price spikes correlating with the release of Anne Hathaway’s movies—not because of any fundamental connection, but due to name-based algorithmic trading. Such quirks underscore the need to approach automated trading with caution, ensuring a robust system that accounts for anomalies and prevents over-reliance on any single data source or strategy.
