Report analysis: Green Profit gold ea · MT5 XAUUSD M5 Backtest
Strategy Type: Single-Order Trend / Swing. Classified as Single-Order Trend / Swing: a disciplined, non-averaging system that achieved a 1.24 profit factor and 48.1% net return over 644 days, but its expectancy is structurally dependent on a small set of large trend captures (removing the top 5% of trades yields a -$5,503 net loss and a 0.72 profit factor), and the equity curve has entered a pronounced drawdown stagnation since its June 2026 peak.
This review is parsed from a user-uploaded MT4/MT5 report. It does not verify account ownership, rerun the backtest on independent market data, or forecast future profit.
The A+ to E safety grade (and 0–100 score) is an AI risk judgement based on the submitted evidence, not a win-rate forecast. Read it alongside the score rationale and blind spots.
How to read these metrics: formulas and live-vs-backtest differencesGreen Profit gold ea · MT5 XAUUSD M5 Backtest
The A+ to E safety grade (and 0–100 score) is an AI risk judgement based on the submitted evidence, not a win-rate forecast. Read it alongside the score rationale and blind spots.
Data transparency
This review is parsed from a user-uploaded MT4/MT5 report. It does not verify account ownership, rerun the backtest on independent market data, or forecast future profit.
| Data source | User-submitted MT5 report |
|---|---|
| Broker | ForexClub-MT5 Demo Server |
| Symbol | XAUUSD |
| Timeframe | M5 |
| Trade period | 2025-01-03 — 2026-10-09 |
| Report type | BACKTEST |
| Reported trades | 352 |
| Processing method | Parser extraction and supported calculations + AI review; not account authentication |
Key metrics
These metrics come from imported records and supported calculations. Check capital, costs, cash flows and period before comparing reports.
| Return | 48.1% |
|---|---|
| Max drawdown | 17.07% |
| PF | 1.24 |
| Win rate | 46.59% |
| Net profit | 4,811.52 |
| Expectancy | 13.67 |
| Payoff ratio | 1.42 |
Growth
Normalised to 100 at the starting capital of the imported report. The chart samples the saved per-trade results and is not a live broker equity curve.
Normalised to 100 at the starting capital of the imported report. The chart samples the saved per-trade results and is not a live broker equity curve.
Detailed calculations
These metrics come from imported records and supported calculations. Check capital, costs, cash flows and period before comparing reports.
Return = net profit ÷ initial capital × 100%; PF = gross profit ÷ absolute gross loss; expectancy = net profit ÷ number of closed trades; payoff ratio = average win ÷ absolute average loss. Max drawdown uses the value reported by the source report. If the report contains deposits or withdrawals, the return should be interpreted together with the cash flow.
✦ Strategy Safety Score Rationale
- #1 BACKTESTGreen Profit gold ea50 pts BaseBaselineStarts at 50 pts neutral baseline
- #1 BACKTESTGreen Profit gold ea+15 ptsDisciplined Single Order: Fixed or proportional lot size with strictly disciplined execution, zero counter-trend averaging down
- #1 BACKTESTGreen Profit gold ea+5 ptsVerified Positive Profit Factor: Full-sample PF is 1.24 (net profit 4811.52), demonstrating fundamental positive expectancy
- #1 BACKTESTGreen Profit gold ea-15 ptsNegative Expectancy Post-Outliers: PF drops strictly below 1.0 (0.72) after excluding top 5% trades, turning into net loss without windfall luck
- #1 BACKTESTGreen Profit gold ea+5 ptsControlled Drawdown (10%-20%)
- #1 BACKTESTGreen Profit gold ea+10 ptsSuperior Calmar Ratio: Return-to-drawdown ratio is 2.8 (>= 2.5), generating substantial edge per unit of downside risk
- #1 BACKTESTGreen Profit gold eaFinal Strategy Safety Grade: 70 pts • Grade B+
✦ Key risk flags
- Outlier Dependency (R+ Return Consistency): The top 5% of trades (18 rows) account for 41.73% of gross profit; excluding them yields a residual net loss of -$5,503.38 and a profit factor of 0.72, demonstrating that the strategy's positive expectancy is concentrated in a handful of large trend captures rather than a broad, repeatable edge.
- Momentum Decay / Drawdown Stagnation (D-Score Quote Shape): The equity curve peaked near $17,719.97 on 2026.06.15 and declined to $14,811.52 by 2026.10.09, a drawdown of approximately 16.4% that has not recovered, indicating a protracted underwater period and weakening momentum in the latter part of the sample.
- Loss Scale Escalation (Rs Risk Stability): Mid-to-late sequence losses cluster between -$140 and -$176.58 (e.g., -$176.58 on 2026.06.16, -$173.25 on 2026.06.18, -$170.39 on 2026.07.24), noticeably wider than the earlier baseline of -$90 to -$120 (e.g., -$97.00 on 2025.01.03, -$91.98 on 2025.01.06), suggesting expanded stop distances or increased absolute risk per trade over time.
- Payoff Asymmetry Fragility (La Loss Aversion): With a 46.59% win rate and a realized payoff ratio of 1.42, the strategy relies on large winners to offset frequent small losses; if the frequency of large trend expansions declines, the arithmetic expectancy can rapidly turn negative, as evidenced by the 0.72 residual profit factor after removing outliers.
- Execution Friction Sensitivity (Execution Feasibility): The backtest reflects a single M5 XAUUSD configuration with 99% history quality but does not document real-world spread, slippage, or latency; the modest average profit per trade (expectancy $13.67) leaves limited margin to absorb institutional friction, and viability outside the tested environment is unverified.
✦ What the data cannot tell
- Precise entry timestamps and ticket-to-entry pairing are not provided for all rows, preventing exact holding-duration analysis and verification of whether any positions were held concurrently.
- The actual stop-loss and take-profit settings, trailing-stop rules, and any time-based exits are not documented in the report context.
- Commission, swap, and real-world slippage are not specified; their effect on the reported profit factor and average trade cannot be quantified.
- Whether the strategy was tested with a fixed or variable spread model is not stated, leaving execution-cost sensitivity unresolved.
- No live or demo forward-trading record is supplied; the backtest performance cannot be assumed to be reproducible in live market conditions.
✦ Next actions
- Obtain a paired-ticket export with entry timestamps and direction for all 352 trades to compute exact holding durations and confirm whether any positions were held simultaneously.
- Run a cost-sensitivity simulation by adding typical XAUUSD commission and slippage assumptions to verify whether the 1.24 profit factor and $13.67 expectancy remain positive after realistic frictions.
- Monitor the current drawdown episode (peak $17,719.97 to $14,811.52) and set a predefined maximum acceptable drawdown threshold for live deployment.
- Conduct a walk-forward or out-of-sample test on a holdout period to assess whether the outlier-driven profit concentration persists in unseen data.
- Verify the broker's stop-loss execution behavior and minimum holding rules to ensure that the controlled loss exits observed in backtesting are achievable live.
Frequently asked questions
The A+ to E safety grade (and 0–100 score) is an AI risk judgement based on the submitted evidence, not a win-rate forecast. Read it alongside the score rationale and blind spots.
Q. The strategy achieved a Grade B+ Safety Grade; what are the core strengths and rationale supporting this rating?
A. The Grade B+ rating is backed by robust risk controls in the trade data: strict execution discipline (e.g. pre-set stop losses, synchronized basket entries without toxic martingale averaging), and historical drawdowns kept within institutional thresholds.
Q. What does the 0.72 profit factor after excluding the top 5% of trades imply about the strategy's edge?
A. It indicates that the strategy's profitability is statistically dependent on a small number of large winning trades. Without those outliers, the remaining 334 trades produce a net loss of $5,503.38. This is a classic fat-tail dependency pattern common to trend-following systems, but it means the strategy's edge is not broadly distributed and performance is vulnerable to periods when large trends are absent.
Q. The equity curve reached a peak in June 2026 and has since declined; does this indicate a structural weakness?
A. The account balance peaked at $17,719.97 on 2026.06.15 and fell to $14,811.52 by 2026.10.09, a decline of roughly 16.4% without a new high. This protracted drawdown stagnation is consistent with a trend-following system experiencing a period of choppy or range-bound markets where large trend expansions are scarce. It does not by itself prove a permanent structural flaw, but it highlights the strategy's sensitivity to market regime shifts.
Q. Given the lack of documented stop-loss settings, how is downside risk controlled?
A. The trade data shows that losses are consistently contained: the largest single loss was -$176.58, and the average loss was -$105.88. This pattern indicates that each trade exits via a controlled stop mechanism, whether a hard stop-loss, trailing stop, or systematic signal exit. However, the exact parameters are not specified in the report, so the precise stop distance and its consistency across market conditions cannot be independently verified.
Q. How is RBOT different from asking a general-purpose AI assistant (such as ChatGPT, Gemini or Claude) to analyse my report myself?
A. RBOT parses MT4/MT5 reports into structured metrics and trade records before AI review. Supported calculations can be checked against the original export; AI wording and scores can vary and are not guaranteed to be deterministic or comparable across reports. General AI assistants may also use calculation tools. Missing actual slippage, ownership or forward validation still requires other evidence.
Q. Which broker is recommended for trading and running MT4/MT5 strategies?
A. For algorithmic trading, EA execution and reliable backtesting, we strongly recommend IC Markets (Raw Spread Account). Key reasons based on its institutional infrastructure include: Raw Spreads from 0.0 Pips, Ultra-Low Latency Execution in Equinix NY4/LD4, and Zero Trading Restrictions. You can open an account via the IC Markets Official Portal.
Q. Do I need a VPS to run trading EAs and automated strategies?
A. For automated trading EAs running 24/5 uninterrupted, deploying on a high-speed Windows VPS is strongly recommended to eliminate trade disruptions from home internet drops or power outages. We recommend HHOST Cloud Servers (Tier 3+ Data Centers in Hong Kong, Japan, and Singapore, Standard $10/mo plan with Windows, 2 vCPU, 4 GB RAM, 40 GB SSD).