Comprehensive analysis of live trading results, risk metrics, and performance attribution. All data verified from MetaTrader 5 — no simulations, no backtests.
Core metrics from live trading operations. All values calculated from verified trade history across the entire reporting period.
Performance comparison showing cumulative trading returns (net of all costs) against the S&P 500 benchmark. Returns shown exclude initial capital to isolate pure trading performance.
The equity curve above represents the cumulative net trading returns after deducting all costs including commissions, swap fees, and slippage. This pure performance view removes the distortion of capital deposits and withdrawals, showing only the value generated by the trading algorithms.
Performance consistency is a critical metric for institutional investors. The monthly distribution chart shows the frequency and magnitude of returns across the entire reporting period, allowing assessment of return predictability and tail risk exposure.
Understanding risk is essential for any investment decision. Below is a comprehensive analysis of the system's risk profile including drawdown behavior, volatility metrics, and risk-adjusted returns.
Maximum drawdown measures the largest peak-to-trough decline in equity. This metric is critical for understanding the worst-case scenario an investor would have experienced. A lower drawdown relative to returns indicates superior risk management.
Risk-adjusted metrics normalize returns by the amount of risk taken. These ratios are the industry standard for comparing trading systems and fund managers on an equal footing. Values above 2.0 for Sharpe and Sortino are considered excellent by institutional standards.
Volatility analysis reveals the system's return stability. Low downside deviation relative to total volatility indicates that negative returns are less severe than positive ones — a desirable asymmetry for investors.
PMTS operates 7 independent AI bots, each specialized in different market conditions. This diversification reduces single-strategy risk and provides more consistent returns across varying market regimes.
| Bot Strategy | Trades | Win Rate | Profit Factor | Contribution |
|---|---|---|---|---|
| Loading... | ||||
Trading is concentrated on high-liquidity instruments to ensure optimal execution and minimize slippage. Gold (XAUUSD) is the primary instrument due to its institutional-grade liquidity and trending characteristics.
The system maintains a strong positive expectancy across all market conditions. The asymmetry between average winning and average losing trades demonstrates effective risk management — profits are allowed to run while losses are cut quickly through the multi-layer validation system.
Detailed month-by-month performance breakdown. Green indicates positive returns, red indicates negative. Color intensity reflects the magnitude of the return.
Monthly consistency is a hallmark of robust algorithmic trading systems. The data demonstrates the system's ability to generate positive returns across different market conditions, including high-volatility periods, geopolitical events, and seasonal variations.