Trend Detector Workflow: Strength, Exhaustion, Timing and Risk
Trend Detector is the direction-quality layer. It works best when its output is compared with durability, timing, macro, and simulated risk context.
Try the live Trend Detector
Use the live Trend Detector to compare this concept with the rest of the TradingSimuLab model stack.
Open the Trend DetectorStep one: start with direction quality
Trend Detector helps answer the first question: does the current market structure look directional and organized? Trend Strength, direction bias, slope context, and distance context all contribute to that read. This gives users a directional foundation before they look at timing or risk.
However, direction quality is only the beginning. A trend can be strong and still mature. It can be directional and still vulnerable to poor risk-reward. The rest of the model stack exists to handle those questions.
Step two: check maturity and stretch
After trend strength, review exhaustion risk, overextension, slope health, and distance health. These fields help separate a healthy trend from a late or stretched trend. This is where many users benefit most from the dashboard, because it prevents blind trend-chasing.
If strength is high and exhaustion is low, the read is cleaner. If strength and exhaustion are both high, the user should treat the trend as powerful but potentially mature.
Step three: add persistence and timing
Trend Persistence asks whether the move has been durable or noisy. Timing Model asks whether the current setup is forming, confirming, failing, or stuck in range. These layers can validate or soften the Trend Detector read.
A strong Trend Detector read with weak persistence may be less reliable. A strong Trend Detector read with high fakeout risk may not be ready. A moderate Trend Detector read with clean timing and improving persistence may deserve monitoring.
Step four: finish with risk simulation
Risk Simulation describes the path of possible outcomes. It adds probability of gain, expected return, terminal range, VaR, CVaR, and drawdown stress. This step prevents the user from assuming that a strong trend automatically has acceptable downside.
The best workflow reads all layers together. Trend Detector gives direction quality. Trend Persistence gives durability. Timing Model gives setup quality. Risk Simulation gives path risk. Macro Model adds the broader backdrop when it is available.