Explore the five-model market research framework
TradingSimuLab combines trend detection, trend persistence, timing analysis, macro context, and downside risk simulation into a structured educational workflow.
Core tools
Trend Detector
Reviews trend strength, exhaustion risk, direction context, and stretch conditions.
Trend Persistence
Studies whether a trend appears stable, fragile, extended, or at risk of reversal.
Timing Model
Evaluates breakout quality, fakeout risk, range behavior, and continuation conditions.
Macro Model
Frames the 12-month outlook using market regime, confidence, and scenario probabilities.
Risk Simulation
Uses simulation outputs to estimate downside range, VaR, CVaR, probability of gain, and drawdown.
Watchlist
Track selected assets and review how model reads change over time.
How to read the framework
No single model is designed to be the full answer. The framework is strongest when the layers are read together: trend quality explains structure, timing explains setup quality, macro explains broader context, and risk simulation explains downside exposure.
| Layer | Question | Use |
|---|---|---|
| Trend | Is the asset trending or stretched? | Helps identify structure and exhaustion risk. |
| Persistence | Is the trend stable or fragile? | Helps separate durable trends from unstable moves. |
| Timing | Is the setup confirmed or noisy? | Frames breakout, fakeout, and range behavior. |
| Macro | Is the broader backdrop supportive? | Adds scenario-weighted context beyond price alone. |
| Risk | What downside might need to be tolerated? | Supports position sizing and risk awareness. |
Start with the risk guide
Learn how downside simulation works before applying the full model framework to individual assets.
Read the downside risk guide