MQL5 Algo Trading

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United Kingdom5 Technologies & Applications153...

📈 Analytical overview of Telegram channel MQL5 Algo Trading

Channel MQL5 Algo Trading (@mql5dev) in the English language segment is an active participant. Currently, the community unites 512 054 subscribers, ranking 153 in the Technologies & Applications category and 5 in the United Kingdom region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 512 054 subscribers.

According to the latest data from 19 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 8 965 over the last 30 days and by 370 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 3.42%. Within the first 24 hours after publication, content typically collects 1.91% reactions from the total number of subscribers.
Post reach: On average, each post receives 17 520 views. Within the first day, a publication typically gains 9 780 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 39.
Thematic interests: Content is focused on key topics such as indicator, chart, mql5, candle, range.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“The best publications of the largest community of algotraders. Subscribe to stay up-to-date with modern technologies and trading programs development.”

Thanks to the high frequency of updates (latest data received on 20 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

512 054

Subscribers

+37024 hours

+2 1507 days

+8 96530 days

17 520

Post views

~ 9 78024 hours

~ 12 00148 hours

3.42%

Engagement rate

~ 5

Posts per day

Ads index

beta

Posts Archive

512 054

KSQ Command Center is designed for quantitative fund managers who need to monitor and manage remote funded accounts from a mobile browser without logging into a VPS session. The implementation provides a two-way asynchronous bridge between MT5 and Google Sheets. Reporting is handled by packaging account state and open position metrics into JSON and sending them to a Google Apps Script Web App via HTTP POST. Commanding is handled by polling a dedicated Commands sheet, parsing queued JSON instructions, executing trade actions such as closes or stop updates, then writing success or failure status back to the sheet. The utility is symbol and timeframe independent and can be attached to any chart while managing the whole account. Configuration includes Web App URL, shared password, push/pull intervals, slippage limits, and optional logging. MT5 requires expli... 👉 Read | AppStore | @mql5dev #MQL5 #MT5 #EA

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CommandDesk is a manual execution panel for MT5. Attach it to a live or demo chart, enable Algo Trading, then place trades via on-panel LONG/SHORT buttons or hotkeys. It does not generate signals and Strategy Tester will show zero trades. Execution supports instant risk-based sizing with automatic SL/TP placement and staged exit tracking. Hotkeys include B/S for buy/sell, X to flatten, R to reverse, E to lock breakeven, and P to purge pending orders, with an option to disable shortcuts. Trade management includes three-stage partial TPs with state persisted in order comments, plus trailing stop modes: fixed distance, ATR-scaled, or previous-bar swing. Auto breakeven moves SL to entry with an offset after a profit threshold. Risk controls include a session drawdown guard that flattens positions and blocks new orders until equity recovers. The dashboard shows... 👉 Read | AlgoBook | @mql5dev #MQL5 #MT5 #EA

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ASQ Candle Scanner adds structure and pattern annotations to any OHLC chart, focusing strictly on closed candles for non-repaint behavior. It tags the last 1–20 bars (configurable) so recent context is visible without manual scanning. Detected tags per closed candle include BOS (body close beyond prior high/low), LQ (wick beyond prior high/low with close back inside), FVG (gap versus the candle two bars back), REV (pin bar with small body and large wick or an engulfing body exceeding the prior), and IB (range contained within the prior bar). Additional outputs include trend arrows (bullish, bearish, neutral) with green/red/amber coloring, buyer vs seller sentiment as a percentage based on close location within the range, and momentum grading from body-to-range ratio. A clean mode can show arrows only, and an optional prediction bubble can display dir... 👉 Read | Signals | @mql5dev #MQL5 #MT5 #Indicator

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Most retail regime detection fails because execution logic stays static while market structure shifts. Trend-following systems can show clean performance during directional expansion, then hit sustained drawdowns when conditions compress into range-bound noise. Common fixes rely on linear momentum filters such as ADX. These are inherently lagging, so confirmation often arrives after the regime has already transitioned, causing late entries and delayed shutdowns. A non-linear alternative is Fractal Dimension Index (FDI), which measures price-path roughness over a rolling window. A smooth directional path trends toward dimension 1.0, while an erratic random walk approaches 2.0. Operationally, the key boundary is 1.5. Below 1.5 supports breakout and momentum execution. Above 1.5 signals noise and mean reversion risk, where trend systems are likely to b... 👉 Read | Quotes | @mql5dev #MQL5 #MT5 #Indicator

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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

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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

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ASQ PropFirm Shield v1.2 is a free, open-source MQL5 risk-control library for prop firm rule enforcement on every tick. Coverage includes daily loss limits, max drawdown (standard or trailing), profit targets, consistency scoring, and minimum trading days, with phase detection for Challenge, Verification, and Funded. Seven presets are included: FTMO, MyForexFunds, Funded Next, The Funded Trader, E8 Funding, Bulenox, and TopStep. A five-level state model reports Safe, Caution, Danger, Breached, and Failed. An emergency close-all flag triggers at 90% of any limit, and a risk-per-trade guardrail blocks oversized entries while calculating the maximum safe risk for the next trade. A demo EA provides a dashboard with limit progress bars, win rate, profit factor, trading day tracking, and recent daily PnL history. Delivery includes a .mqh library and a demo .mq5 E... 👉 Read | Calendar | @mql5dev #MQL5 #MT5 #EA

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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

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DoEasy library update adds an MQL5.com Signals collection and extends DOM snapshot handling. A new CMQLSignalsCollection builds a searchable, sortable list of signal objects via SignalBaseSelect(). Filtering by free/paid, sorting by parameters (including profitability), and fast lookup by ID/name are supported. Subscription and unsubscription workflows are implemented, along with accessors for current subscription state and copy-trading settings via SignalInfoSet*. Library internals were adjusted: Message.mqh gets an overloaded ToLog() with an explicit source field; MQLSignal PrintShort() gains optional prefix formatting and correct subscription status init; Select.mqh adds signal-specific search/sort helpers; Engine.mqh wires collection access. DOM snapshots now compute and store total buy/sell volumes during construction, eliminating repeated aggregation.... 👉 Read | AlgoBook | @mql5dev #MQL5 #MT5 #EA

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An MT5 indicator implements the core Smart Money Concepts toolkit on-chart with real-time detection and visualization of BOS/CHoCH market structure, Order Blocks, Fair Value Gaps, Equal Highs/Equal Lows, and optional BUY/SELL arrows. All modules are independently switchable, color-configurable, and ATR-adaptive across symbols and timeframes. Market structure is built from swing pivots using a configurable lookback, plotting HH/HL/LH/LL labels and drawing BOS/CHoCH levels. Order Blocks are derived from the last opposite-close candle preceding a confirmed BOS, drawn as rectangles and invalidated on mitigation. Fair Value Gaps use the three-candle imbalance rule with a minimum size filter at 15% of ATR and are also deactivated on fill. EQH/EQL scans pivot levels within an ATR-based tolerance and marks liquidity pools with dashed connectors. Signals trig... 👉 Read | Docs | @mql5dev #MQL5 #MT5 #Indicator

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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

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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

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ASQ Risk Analytics has been released as a free, open-source MQL5 risk library for post-session evaluation of automated strategies. It processes account trade history and generates an institutional-style risk report with no external dependencies. Core modules include Monte Carlo bootstrapping (1,000–10,000 runs) with expected return, expected max drawdown, probability of ruin, and 95% confidence intervals. Historical VaR and CVaR are provided at 95% and 99%, with daily/weekly/monthly scaling. Position sizing supports seven methods: Fixed, Percent Risk, full Kelly, Half Kelly, Optimal F, ATR-based, and VaR-constrained sizing, normalized to broker lot limits. Reporting covers risk-adjusted ratios (Sharpe, Sortino, Calmar, Sterling, SQN, Ulcer, Recovery Factor, K-Ratio) plus standard performance stats and a 0–100 risk score with classification and recommendation. A... 👉 Read | Docs | @mql5dev #MQL5 #MT5 #EA

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ASQ Indicator Manager consolidates 11 built-in MT5 indicators into a single class, removing repetitive handle and buffer code. It provides automatic handle lifecycle management, bar-based caching via Update() with optional ForceUpdate() for tick precision, and consistent getter methods with shift support. Managed set includes EMA fast/medium, SMA slow, ATR 7/14/50, RSI, Stochastic K/D, CCI, MACD main/signal/histogram, and ADX with +DI/-DI. All periods and settings are configurable through dedicated setters. The class also adds higher-level signals: trend voting based on MA alignment, DI crossover, and MACD histogram; regime classification (trending up/down, ranging, volatile, quiet) using ADX and ATR ratios; and overbought/oversold flags from RSI and Stochastic. A demo indicator displays a live dashboard with values, direction, regime, volatility ratio, a... 👉 Read | AlgoBook | @mql5dev #MQL5 #MT5 #Indicator

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Pivot Points remain a common technical indicator in FX for mapping intraday structure from the prior session’s high, low, and close. The calculation yields a central pivot plus derived support and resistance levels that many desks treat as reference zones for the current trading day. These levels are often used to frame entries and exits, define stop placement, and set profit targets. Utility tends to increase during higher volatility sessions, where price can rotate quickly between liquidity areas. Pivot Points are frequently paired with trend and volatility tools. Moving averages can help validate directional bias, while Bollinger Bands can highlight expansion or mean reversion around key levels. Combining signals can reduce false triggers, but requires testing to match risk limits and execution constraints. 👉 Read | Freelance | @mql5dev #MQL5 #MT5 #Indicator

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KSQ Fair Value Gap EA is an automated Expert Advisor built to trade institutional Fair Value Gaps with optional regime filtering to reduce signals during range conditions. The core logic detects bullish and bearish 3-bar FVG structures and triggers entries on pullbacks into the remaining imbalance zone. Each gap is tracked as a separate object and is marked consumed after one execution to prevent repeat entries. Regime detection supports higher timeframe EMA50/EMA200 bias, ADX threshold with DI+/DI- direction checks, a combined mode requiring alignment, or an unrestricted mode. Risk and trade controls include ATR or fixed-point SL/TP, fixed or percent-risk lot sizing, partial exits, trailing stop by ATR or points, and a cap on concurrent positions. Protection options include daily and total drawdown cutoffs, session-hour filters, and alert notifications. 👉 Read | Calendar | @mql5dev #MQL5 #MT5 #EA

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BarStats is an MT5 indicator designed to provide per-bar statistics with minimal overhead and clean chart output. It publishes the bar index for integration in automated logic, along with price difference in points and percentage change for each bar. Calculation is optimized to remain lightweight, and a DRAW_NONE buffer is used to keep the chart free of additional rendering. The indicator exposes EA-friendly buffers intended for custom strategies, backtesting workflows, and data collection where deterministic bar-by-bar inputs are required. Contact: Telegram @JohnHansonDev for custom indicators or EA development. 👉 Read | AppStore | @mql5dev #MQL5 #MT5 #Indicator

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Manual closing in MT5 becomes an execution bottleneck during volatility due to sequential Toolbox interactions. An on-chart panel reduces latency by exposing one-click bulk and conditional closes, while showing live floating P/L without external DLLs. A compact dashboard can be built with the MQL5 Standard Library using CAppDialog plus CTrade, prioritizing maintainability over Canvas-based rendering. Inputs for symbol and Magic Number isolate portfolios to prevent cross-EA liquidation. Net exposure is computed from position profit plus swap, avoiding deprecated commission fields. Closures should audit CTrade return codes and log ResultRetcodeDescription for rejection diagnostics, including Algo Trading disabled states. UI event routing via a virtual OnEvent handler avoids conflicts. A 1-second OnTimer loop updates labels and triggers rule-based flattening ... 👉 Read | Quotes | @mql5dev #MQL5 #MT5 #EA

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ASQ NeuralNet provides a neural network stack implemented entirely in native MQL5, with no external dependencies. It targets building, training, and running feedforward models directly in MetaTrader 5, including mini-batch training, shuffling, and epoch logging. Core components include a dense matrix engine with 40+ operations and NaN checks, 13 activation functions with analytical derivatives, dense layers with backpropagation, dropout, and gradient clipping, plus optimizers (SGD with momentum, Adam, AdamW). Learning rate scheduling covers Constant, Step, Exponential, Cosine Annealing, Linear, ReduceOnPlateau, Warmup, and Cyclic. Loss functions include MSE, MAE, Huber, Cross-Entropy, and Binary Cross-Entropy. Reported characteristics include sub-0.1 ms inference for small models, fixed inference allocation behavior, safe Softmax, and initialization via ... 👉 Read | NeuroBook | @mql5dev #MQL5 #MT5 #AI

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A chart utility for detecting and rendering Fair Value Gaps (price imbalances), commonly referenced in ICT/Smart Money workflows. It identifies both bullish and bearish gaps, then monitors subsequent price action to confirm when gaps are filled. Visualization is handled through zone rectangles with configurable color and opacity. Filled-gap handling can be configured to remove zones, fade them, or keep them on the chart for review. A minimum gap-size filter is available to reduce low-signal detections, and optional labels can display gap size. Eventing includes alerts on new gap formation and on fill completion, with support for push notifications and email delivery. 👉 Read | AppStore | @mql5dev #MQL5 #MT5 #Indicator