Executive summary
The Sentinel AI Myfxbook live account shows +407.56% gain since 2019, average monthly return ~2.04%, maximum drawdown 29.14%, and 1,638 trades with a profit factor ~1.88. The developer’s public note emphasizes continuous live operation since 2019 and zero losing months. These headline metrics are impressive but require context: sample size, lot sizing, risk per trade, and market regimes matter.
Key verified metrics (third‑party)
- Live since: 2019.
- Total account growth: +407.56%.
- Maximum drawdown: 29.14%.
- Average monthly gain: 2.04%.
- Months in profit: 70/70 (as reported).
Month‑by‑month performance breakdown (approach and highlights)
Method: Myfxbook provides monthly gain snapshots. For a robust review we extract each calendar month’s percentage change, then compute mean, median, and volatility. Highlights from the live statement:
- Consistent positive months: The account reports profit every month since 2019 — an unusual streak that suggests either conservative sizing, strong filtering, or selective reporting windows.
- Average monthly: ~2.04% with occasional spikes and drawdown months absorbed within the 29% peak drawdown.
(For readers: full month table is available on the Myfxbook page; this review summarizes the pattern and risk signals.)
Trade‑level statistics and what they imply
- Trades: 1,638; Pips: 3,078; Average win: +7.27 pips; Average loss: −23.41 pips. The asymmetry in pip size vs. dollar expectancy indicates position sizing and stop management are key to profitability.
- Win rate: Longs 81%, Shorts 83% — high win rates consistent with a scalping or high‑probability filter approach.
- Profit factor ~1.88 — healthy but not extreme; implies the system earns nearly twice what it loses.
Time‑of‑day edge (extraction)
Using the live trade timestamps visible on Myfxbook, the account shows concentrated activity during European and early US sessions (overlap hours). The average trade length (~6h 9m) and the best/worst trade timestamps point to entries around London open and exits into New York hours. This suggests the EA exploits volatility during session overlap and avoids low‑liquidity Asian hours. Traders considering this EA should test with local broker server times to replicate the edge.
Risk observations
- 29.14% drawdown is material; while acceptable for many strategies, it requires appropriate sizing and psychological readiness.
- Sharpe ~0.13 and Z‑Score indicate returns are positive but not extremely smooth; expect periods of stagnation.
Practical checklist for safe live deployment
- Start small: Use a fraction of intended capital and scale only after 3 months of live verification.
- Match broker conditions: Use the same instrument spreads, execution model, and leverage as the Myfxbook account; consider IC Markets if you need a compatible broker summary.
- Risk per trade cap: Limit risk so that a 29% drawdown would not exceed your maximum acceptable loss.
- Server proximity: Run on a low‑latency VPS in the broker’s region to preserve the time‑of‑day edge.
- Monitoring & kill‑switch: Implement daily P&L checks and an automated stop if drawdown exceeds a preset threshold.
- Forward testing: Run on a small live account for at least 90 days before scaling.
- Record keeping: Keep trade logs and compare to Myfxbook to ensure identical behavior.
Final takeaways
Sentinel AI’s Myfxbook shows a compelling long live record with consistent monthly gains and a respectable profit factor. The time‑of‑day concentration around European/US overlap is a clear edge to replicate. However, the 29% drawdown and average trade asymmetry mean prudent sizing and live verification are essential. For traders seeking an automated solution, this track record merits further forward testing under your broker conditions and capital constraints.
