Results are calculated using a standardized $100,000 model portfolio. Every signal uses consistent risk parameters, realistic position sizing, and the same rules across all opportunities.

• 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. For opportunity-driven signal systems where positions resolve on their own timeline, it can be noisy and misleading.

Instead, Marild focuses on metrics that better reflect how signals actually perform: Success Rate, Drawdown, and Expectancy. Together these describe how the system behaves over time and whether it has a positive edge.

Marild evaluates market opportunities using a multi-layered approach before any trade enters the model portfolio:

• Signal Generation: AI scans 50+ approved tickers every hour during market hours, analyzing Smart Money Concepts, volume confirmation, and sentiment data.
• Confidence Scoring: Only signals above 60% confidence with strong confluence are considered for entry.
• Risk Validation: Position sizing uses 0.75% risk per trade with strict limits (max 80% allocated, max 10 concurrent positions).
• Entry Execution: Portfolio manager evaluates signals every 5 minutes and enters when capital and risk limits allow.
• Exit Management: Positions monitored every minute for take-profit hits, stop-loss triggers, or trailing stop activation (starts after 1.5R profit).

No trade is forced—signals only execute when market structure, risk parameters, and portfolio constraints all align.

Signals are generated hourly during market hours (every hour at :30 past the hour from 9:30 AM - 4:30 PM ET). Each scan evaluates all 50+ approved tickers and updates signals in real-time.

Execution is continuous: The portfolio manager runs every 5 minutes to evaluate new signals and enter positions. Open positions are monitored every minute for price updates and exit conditions. Performance statistics update live as trades close.

This separation allows the AI to generate thoughtful signals without rushing, while execution responds quickly to market conditions.

Marild is evaluated through a live model portfolio executing real signals with $100,000 in capital. This avoids cherry-picking and survivorship bias—the same rules apply to every signal, regardless of whether any individual trader chooses to take a particular trade.

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

No. Marild 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 symbol—for example, prolonged low liquidity or structurally poor price action—that 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.

Marild is built for those who treat markets as a discipline rather than entertainment. Typical users are serious, risk-aware, and data-driven—valuing transparency over hype.

If you want high-confidence signals without guesswork, Marild is for you.