Results are calculated using a standardized $100,000 model portfoliofor each strategy. Every trade uses a fixed percentage risk, realistic position sizing, and consistent rules across all tickers.

• Same starting equity and risk parameters for every portfolio.
• Position sizes are constrained by available capital and risk per trade.
• No hindsight optimization or retroactive changes to signals.
• The same execution rules apply to every ticker in the universe.

Expectancy measures how much a strategy makes or loses on average per unit of risk, expressed in R. A positive expectancy means that, over a large sample of trades, the strategy is profitable after accounting for both wins and losses.

Because expectancy is calculated in risk units rather than raw dollars or win rate alone, it is harder to manipulate and provides a clearer view of long-term edge.

Example: if a strategy risks $1,000 per trade and, over many trades, averages +$200 per trade, its expectancy is +0.2R. Individual trades will vary, but the average effect of the system is positive.

Sharpe ratio is designed for continuous return streams, such as diversified portfolios or funds. For trade-based, single-ticker or small-universe strategies, it can be noisy and misleading, especially when trades are discrete and held for short periods.

Instead, TradeLens AI focuses on metrics that better reflect how traders actually experience risk: Profit Factor, Drawdown, and Expectancy. Together these describe how capital moves through time, how deep the worst periods are, and whether the system has a positive edge.

TradeLens AI evaluates market structure and risk conditions before any trade is allowed into the model portfolio. The decision engine looks at:

• Market structure and Smart Money Concepts (order blocks, liquidity, displacement).
• Liquidity and displacement around key levels.
• Volume confirmation to validate directional conviction.
• Volatility and regime filters to avoid unsuitable conditions.
• Risk validation against portfolio-level constraints.
• Confidence scoring to prioritize higher-quality opportunities.

Yes. Signals are generated live by the TradeLens AI engine and are automatically posted into the application and connected Discord channels. Performance statistics update continuously as trades evolve.

Market prices may be subject to exchange-delayed data (typically up to 10 minutes), but signal generation and portfolio tracking are processed in real time.

TradeLens AI is evaluated through model portfolios, not individual user accounts. This avoids cherry-picking and survivorship bias. The same rules are applied to every signal in the universe, regardless of whether a human trader chooses to take a particular trade.

By separating the model portfolio from personal execution, the platform can report what the system did, not what any single trader happened to do.

No. TradeLens AI provides educational and informational tools only. Nothing on the platform should be interpreted as personalized investment, trading, or financial advice.

Trading involves risk, including the risk of loss. Past performance does not guarantee future results, and you should carefully evaluate whether trading is appropriate for your financial situation.

Tickers are continuously evaluated based on current market regime and signal quality. When conditions deteriorate for a symboldfor example, prolonged low liquidity or structurally poor price actiondthat ticker may be temporarily removed from active coverage.

This allows the system to focus on instruments where the logic is currently performing best, rather than forcing coverage for the sake of quantity.

TradeLens AI is built for traders who treat markets as a discipline rather than entertainment. Typical users are serious, risk-aware, and data-driven, and value seeing the full distribution of outcomes rather than only highlights.

TradeLens AI is built for traders who want clarity, not hype.