Trading algoritmico MQL5 ITALIA
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ASQ Frequency Controller adds a trade-frequency layer on top of an existing EA without changing entry rules. A single frequency factor scales eight filter parameters in sync, allowing consistent control over how often signals are allowed through.

Five presets are provided: Ultra-Conservative (0.5x), Conservative (0.75x), Normal (1.0x), Aggressive (1.5x), and Scalper (2.0x), plus runtime +/- fine-tuning with configurable step size. An auto-frequency option can accept current ATR and adjust the factor based on volatility.

Scaling rules are explicit: higher factor reduces cooldown, minimum bars, minimum ATR, and minimum distance; increases allowed spread; and relaxes signal-strength thresholds using a sqrt divisor with floors (0.2/0.3). Daily entries can be capped via SetMaxTradesPerDay(), with midnight reset. GetSnapshot() returns effective values for dashboar...

👉 Read | Quotes | @mql5dev

#MQL5 #MT5 #EA
A Telegram notification library is available for MetaTrader 5 EAs running on VPS environments, targeting operational visibility and incident awareness. It supports trade open/close/modify alerts with entry, SL, TP, and P/L, plus daily and weekly performance summaries including win rate, drawdown, and balance.

Operational events include EA startup/shutdown messages, error and warning reporting, custom signals, and configurable silent hours in GMT. Multi-chat delivery can broadcast to up to three chat IDs at once, with rate limiting set to 20 messages per minute.

Delivery reliability is handled via a 10-message queue and up to three automatic retries on failure, alongside connection verification using a getMe-based health check and daily sent/failed counters that reset at midnight. Implementation uses WebRequest only, with URL encoding and Markdown escaping, ...

👉 Read | CodeBase | @mql5dev

#MQL5 #MT5 #EA
Forwarded from SEGNALE D’ORO PREMIO
💰$BTC SCALPO LUNGO 📈
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Forwarded from SEGNALE D’ORO PREMIO
SEGNALE D’ORO PREMIO
💰$BTC SCALPO LUNGO 📈
💰$BTC 🔥
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Forwarded from SEGNALE D’ORO PREMIO
~USD/JPY HFT ANALYSIS ..!!!🙂‍↔️🩷
ASQ Recovery Engine v1.2 is a free, open-source MQL5 recovery library plus a demo EA for MetaTrader 5. The module applies automatic risk reduction after consecutive losses, then restores risk after wins. It includes guards to block revenge entries within a configurable cooldown window and prevents martingale-style lot increases after 2+ losses.

The engine maintains a session heat score (0–100) with decay rules, tracks emotional states (Calm, Focused, Stressed, Tilted, Reckless), and can switch to a conservative profile when drawdown exceeds a threshold. Additional controls include configurable cooling-off periods after large losses, anti-tilt minimum-risk mode at 3+ losses, win-streak multipliers, a mini log of recent trades, and optional daily reset.

Integration is via a single .mqh include with calls on win/loss, plus getters for adjusted risk/lot and tra...

👉 Read | Signals | @mql5dev

#MQL5 #MT5 #EA
ASQ PropFirm Shield v1.2 è una libreria di controllo del rischio MQL5 gratuita e open-source per l'applicazione delle regole delle società di trading su ogni tick. La copertura include limiti di perdita giornalieri, drawdown massimo (standard o trailing), obiettivi di profitto, punteggio di coerenza e giorni di trading minimi, con rilevamento di fase per Challenge, Verification e Funded.

Sono inclusi sette preset: FTMO, MyForexFunds, Funded Next, The Funded Trader, E8 Funding, Bulenox e TopStep. Un modello di stato a cinque livelli riporta Safe, Caution, Danger, Breached e Failed. Un flag di chiusura di emergenza si attiva al 90% di qualsiasi limite, e una barriera di rischio per trade blocca le entrate eccessive mentre calcola il rischio massimo sicuro per il prossimo trade.

Un EA demo fornisce un dashboard con barre di progresso dei limiti, tasso di vincita, fattore di profitto, tracciamento dei giorni di trading e storia recente del PnL giornaliero. La consegna include una libreria .mqh e un demo .mq5 E...

👉 Read | Calendar | @mql5dev

#MQL5 #MT5 #EA
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Oro Acquista ora
Trading algoritmico MQL5 ITALIA
Oro Acquista ora
Acquista oro ora 4729-4724

SL - 4719

TP - 4733
TP - 4737
Primo setup della settimana, direttamente ai profitti!
ORO IN CORSA CON OLTRE 130 PIP


Raccogliamo i PROFITTI parziali e impostiamo il resto a BREAK EVEN per un trade a rischio zero
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Acquista oro di nuovo
Trading algoritmico MQL5 ITALIA
Acquista oro di nuovo
Acquista oro: 4730 - 4725

SL: 4720

TP1: 4735
TP2: 4740
Trading algoritmico MQL5 ITALIA
Acquista oro: 4730 - 4725 SL: 4720 TP1: 4735 TP2: 4740
Un altro Setup per la colazione fatto bene!
ORO IN CORSA CON OLTRE 90 PIP


Raccogliamo i PROFITTI parziali e impostiamo il resto a BREAK EVEN per un trade a rischio zero
Imbalance Finder is an MT5 chart indicator that detects Fair Value Gaps (FVGs) and tracks their status in real time. It marks bullish and bearish three-candle imbalances where the first and third candle wicks do not overlap, and then monitors whether each zone is partially tapped or fully filled.

Detection runs on completed bars. Bullish FVG: low[i] > high[i-2], with the zone from high[i-2] to low[i], drawn at bar[i-1]. Bearish FVG: high[i] < low[i-2], with the zone from high[i] to low[i-2], drawn at bar[i-1].

State tracking distinguishes tapped (price enters the zone without reaching the far edge) versus filled (price crosses the entire zone). Visuals use separate colors for active and tapped/filled portions, with an option to hide tapped/filled overlays.

Seven data-only buffers expose presence, tap/fill flags, interaction bar, and direction for EA...

👉 Read | Freelance | @mql5dev

#MQL5 #MT5 #Indicator
Dropout addresses co-adaptation during training by randomly disabling neurons with probability p and keeping activation with q=1-p. Inputs are masked and scaled by 1/q to preserve expected magnitude. In backprop, the same mask scales gradients; in inference, masking is disabled.

Implementation adds a Dropout layer class (CNeuronDropoutOCL) with a training flag at base-neuron level. Forward pass builds a mask, transfers it to GPU, and performs element-wise multiplication via an OpenCL kernel using vector types (double4). Backward pass reuses the same kernel to apply the mask to gradients.

Persistence stores only dropout probability; masks are regenerated per training step. Base classes are updated to register the new layer type and kernel wiring.

👉 Read | AlgoBook | @mql5dev

#MQL5 #MT5 #Dropout
Forwarded from SEGNALE D’ORO PREMIO
~Criteri di ingresso H-1 per USDCHF ..!! 🙂‍↔️🩷

~Zuppa di tartaruga giornaliera..!!
~Secondo smt con candela a forma di cuneo ..!!
~Allineamento del contesto W prima/smt
~Chiusura giornaliera al di sotto del range è necessaria per l'ingresso..!!

~In attesa di conferma ..!!
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READY US SESSION! 🇺🇸

Immagina di perdere la mossa solo perché non eri pronto. No, non sotto il mio controllo. Rimani preparato.
🔥

Rimani concentrato e tradi in modo intelligente!