Discussing the article: "From Novice to Expert: Systematic Profit Conservation Using Candle Range Theory"
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Check out the new article: From Novice to Expert: Systematic Profit Conservation Using Candle Range Theory.
A hybrid exit engine for MQL5 replaces static TPs with CRT-derived structural levels. The CRT_ProfitConserve class secures a partial at the first level and then trails the remaining position by structural anchors rather than fixed pips. The article walks through the class API, essential methods, and example usage in EAs, providing a clear path to embed CRT-based exits into existing strategies.
A static TP is a fixed target at a round number, Fibonacci extension, or a simple risk‑to‑reward ratio. It is easy to code, but it assumes the market will always reach that exact point. In reality, price reverses before hitting the target, particularly at CRT levels—swing highs and lows, order blocks, and liquidity zones.
The common fallback is the trailing stop-loss. However, this is a different failure mode. A fixed trailing stop tightens against every new high and gets choked by every natural pullback. It protects small gains but systematically exits your positions before they reach significant structural targets—the very moves you entered to capture.
A more sophisticated approach is partial profit booking. Closing a portion of the position at intermediate levels secures tangible profit while keeping the remainder working. The challenge is twofold. You need a lot size that can be split without violating the broker's minimum. You also need objective reference points to decide where to take the first partial profit. Without structural anchors such as CRT zones or Fibonacci extensions, partial booking becomes arbitrary and unreliable.
Our strategy acknowledges that partial booking and trailing are not mutually exclusive. We use structural CRT levels to define precise booking zones. Once the partial profit is secured, we deploy a trailing stop solely on the remaining position. This hybrid approach locks in realized profit early while allowing the runner the space to breathe—guided by structural levels, not arbitrary points. We present this not as a guaranteed panacea, but as a testable, conceptual framework.
Author: Clemence Benjamin