Obsidian Logic Engine AI: Automated MT5 Trend-Following with Verified Live Performance

This Obsidian Logic Engine AI Review 2026 offers an objective look at performance and a methodical analysis of live runs and backtests. The review pulls together statistics from representative live accounts and optimized backtests to show win rates, average trade lengths, and peak-to-trough drawdowns. That approach makes it possible to compare the system against other MT5 expert advisors on measurable criteria rather than marketing claims. What makes Obsidian Logic Engine AI unique is the combination of three components: an HMA-based trend visualization that responds faster to directional changes, a Force Index confirmation layer that filters low-pressure moves, and a Spectral Pulse OsMA that times entries to short-term momentum pulses. The algorithm applies multi-timeframe confirmation and only increases position size when higher timeframe trend and lower timeframe momentum align. Huu Loc Nguyen designed the EA with emphasis on clarity of signals and parameter transparency so users can reproduce results in their testing environment. The engine works best in trending markets and on pairs with sufficient intraday volatility where HMA structure forms reliable edges. Risk management is handled through adaptive stop placement and incremental scaling based on realized volatility, which reduces the likelihood of large sudden drawdowns. Expected performance characteristics include moderate trade frequency, higher win rates during sustained trends, and periods of chop where the edge diminishes. The review highlights these patterns and suggests users validate settings on demo accounts before committing capital.

Performance expectations for Obsidian Logic Engine AI are based on combined live and backtest samples. Typical win rate ranges between 58% and 68% depending on timeframe and pair selection, with average trade duration from 6 to 48 hours on intraday settings. Drawdown management targets an 6% to 10% peak drawdown on representative accounts when using recommended risk settings. Trade frequency generally averages 5 to 20 trades per month per symbol, higher on volatile pairs. Account requirements include a standard MT5 broker, stable VPS for 24/5 operation, and a minimum account size aligned to configured risk per trade, often starting at $500 to $2,000 depending on leverage. Users should consider timeframe selection and broker spreads when projecting results.

Obsidian Logic Engine AI carries a moderate risk profile when operated with recommended parameters. The stop loss strategy adapts to recent volatility and places stops beyond short-term noise, with position sizing scaled to a percentage of equity so single-trade risk remains controlled. Users should implement fixed maximum drawdown limits and avoid excessive manual interference during live runs. The EA is more vulnerable in sideway, low-volatility markets where trend edges fail, and during low-liquidity sessions on exotic pairs. Recommended account size depends on risk per trade; conservative deployment suggests starting with at least $1,000 to $2,000 on standard margin conditions.

Install the Obsidian Logic Engine AI expert advisor into the MT5 Experts folder and restart the terminal to load the EA. Attach the EA to desired charts, enable automated trading, and set the common inputs: risk percent per trade, maximum concurrent trades, and spread filter. Configure the HMA timeframe and Spectral Pulse sensitivity to match your chosen chart timeframe. Use brokers with low spreads and reliable execution; ECN or low-spread STP accounts are recommended. Backtest across at least three years of data and run forward testing on a demo or micro account for a minimum of four weeks before live deployment.