Model-led market research for trend, timing, macro, and risk
TradingSimuLab helps users evaluate market setups through five research layers: Trend Detector, Trend Persistence, Timing Model, Macro Model, and Risk Simulation. The goal is not to predict with certainty, but to make market research more structured, transparent, and risk-aware.
One framework, five model layers
TradingSimuLab separates each market read into trend quality, trend persistence, timing quality, macro context, and simulated downside risk.
Trend Detector reviews trend strength, exhaustion risk, direction context, and stretch.
Trend Persistence checks whether the move appears stable, noisy, extended, or fragile.
Timing Model evaluates breakout quality, fakeout risk, range behavior, and continuation context.
Macro Model frames the broader market backdrop beyond price action alone.
Risk Simulation explains downside range, drawdown, VaR, CVaR, and risk-reward quality.
Build a more structured research workflow
Start with the public guides, explore the tools, then use watchlists to monitor how assets evolve across the five-model framework.
Open watchlist preview