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12+ 년도
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1329
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구독자
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Financial Adviser
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I look at math and computers as ways to eliminate the emotional ups and downs of investing. “I don’t want to have to worry about the market every minute. I want models that will make money “.
WE TRADE THE FUTURE, NOT THE PAST. IMAGINATION TO SOFTWARE .
WE TRADE THE FUTURE, NOT THE PAST. IMAGINATION TO SOFTWARE .
Olivier Nomblot
NEW TODAY :I love my new EA Pentagon the Renko makes synthetic inner boxes and cAUght the big move down on Gold today while the 5 engine neural filters out bad trades learns from its mistakes and saves its weightings Every aspect of the market is covered at all times , even when you sleep .This is the best . i don;t know how you can trade without it .This is not amateur hour . Made by a pro trader with 30 years experiece in AAA banks .
Olivier Nomblot
WELCOME TO PENTAGON
Olivier Nomblot
ALSO COMING SOON Five engines. One brain. Decades of edge, sealed inside one self-learning system.Guess who's back: five adaptive engines, one Cortex, decades of trading distilled.One body, five heads — the black-box system I built for myself.Pre-tuned, self-learning, five-engine powerhouse. Set your risk and watch it breathe.Decades of edge, five coordinated engines, one sealed brain. Welcome to ......
Olivier Nomblot
공유 제품
Five engines. One brain. Decades of edge, sealed inside one self-learning system five adaptive engines, one Cortex, decades of trading distilled. One body, five heads — the black-box system I built for myself. Pre-tuned, self-learning, five-engine powerhouse. Set your risk and watch it breathe. Decades of edge, five coordinated engines, one sealed brain. Welcome to Pentagon. GUESS WHO'S BACK. After years in the lab, I'm finally releasing the one I built for myself — ABlackBoxPentagon This
Olivier Nomblot
"Some traders run one strategy. This runs five — and won't tell you which one just fired."
Olivier Nomblot
출시돈 제품
Five engines. One brain. Decades of edge, sealed inside one self-learning system five adaptive engines, one Cortex, decades of trading distilled. One body, five heads — the black-box system I built for myself. Pre-tuned, self-learning, five-engine powerhouse. Set your risk and watch it breathe. Decades of edge, five coordinated engines, one sealed brain. Welcome to Pentagon. GUESS WHO'S BACK. After years in the lab, I'm finally releasing the one I built for myself — ABlackBoxPentagon This
Olivier Nomblot
ALSO COMING SOON Five engines. One brain. Decades of edge, sealed inside one self-learning system.Guess who's back: five adaptive engines, one Cortex, decades of trading distilled.One body, five heads — the black-box system I built for myself.Pre-tuned, self-learning, five-engine powerhouse. Set your risk and watch it breathe.Decades of edge, five coordinated engines, one sealed brain. Welcome to ......
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Olivier Nomblot
Olivier Nomblot
Black Eagle Neural is a genuinely multi-layered system: at its core run two neural networks—a primary net that reads sixteen engineered features (multi-horizon momentum, RSI, moving-average distance and slope, a volatility ratio, range position, candle structure, a volatility z-score, cyclical time-of-day encoding, the H1 higher-timeframe trend, and a EURUSD dollar-strength context) to call direction, and a second "meta" net that independently judges whether each trade is worth taking. It learns continuously—from the real outcome of every closed trade and, through shadow learning, from a virtual trade on every single bar—using triple-barrier labels that capture genuine take-profit/stop/timeout outcomes rather than naive next-bar guesses. Crucially, it polices itself: it runs out-of-sample walk-forward validation with purge-and-embargo gaps to block look-ahead leakage, keeps a snapshot of its best-validated weights, and a drift guard benches it the moment its measured edge collapses. On top sits a layer of judgment—Bayesian win-rate tracking, skill-calibrated confidence, regime- and session-level accuracy memory with auto-sidelining, and a cost-aware gate that demands the signal's edge exceed spread plus costs before it acts. Risk is fully engineered (ATR-based stops/targets, breakeven, trailing, an equity-drawdown circuit breaker, daily loss limit, optional news and daily-close controls, with fractional and meta-scaled position sizing), execution is hardened to MQL5-Market grade (ECN-safe order handling, stop/freeze-level compliance, retry logic), and the whole learned "brain" persists across sessions with a one-touch reset—all surfaced live on an on-chart dashboard. In short: a self-learning, self-validating, self-regulating decision engine, not a fixed rule set.
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Olivier Nomblot
NEW TODAY
Olivier Nomblot
GUESS WHO IS BACK? https://www.mql5.com/en/market/product/179758?
Olivier Nomblot
Black Eagle Neural is a genuinely multi-layered system: at its core run two neural networks—a primary net that reads sixteen engineered features (multi-horizon momentum, RSI, moving-average distance and slope, a volatility ratio, range position, candle structure, a volatility z-score, cyclical time-of-day encoding, the H1 higher-timeframe trend, and a EURUSD dollar-strength context) to call direction, and a second "meta" net that independently judges whether each trade is worth taking. It learns continuously—from the real outcome of every closed trade and, through shadow learning, from a virtual trade on every single bar—using triple-barrier labels that capture genuine take-profit/stop/timeout outcomes rather than naive next-bar guesses. Crucially, it polices itself: it runs out-of-sample walk-forward validation with purge-and-embargo gaps to block look-ahead leakage, keeps a snapshot of its best-validated weights, and a drift guard benches it the moment its measured edge collapses. On top sits a layer of judgment—Bayesian win-rate tracking, skill-calibrated confidence, regime- and session-level accuracy memory with auto-sidelining, and a cost-aware gate that demands the signal's edge exceed spread plus costs before it acts. Risk is fully engineered (ATR-based stops/targets, breakeven, trailing, an equity-drawdown circuit breaker, daily loss limit, optional news and daily-close controls, with fractional and meta-scaled position sizing), execution is hardened to MQL5-Market grade (ECN-safe order handling, stop/freeze-level compliance, retry logic), and the whole learned "brain" persists across sessions with a one-touch reset—all surfaced live on an on-chart dashboard. In short: a self-learning, self-validating, self-regulating decision engine, not a fixed rule set.
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