MetaTrader 5 swing projections are often done manually, with inconsistent rules and poor reproducibility.
A rule-based MQL5 indicator formalizes the process: confirmed swing highs/lows using a configurable lookback plus next-candle validation, recalculation once per completed bar, and market-structure direction derived from the latest confirmed pivot.
It then extracts the latest six alternating pivots (three highs and three lows), producing five completed legs. Those legs are measured, averaged, and applied to the most recent confirmed pivot to estimate the next move, with bullish and bearish projections anchored on different swing points.
Chart output includes structure lines, a dotted projection for N bars ahead, ATR-scaled S/R zones, and a projected level label.
👉 Read | Signals | @mql5dev
A rule-based MQL5 indicator formalizes the process: confirmed swing highs/lows using a configurable lookback plus next-candle validation, recalculation once per completed bar, and market-structure direction derived from the latest confirmed pivot.
It then extracts the latest six alternating pivots (three highs and three lows), producing five completed legs. Those legs are measured, averaged, and applied to the most recent confirmed pivot to estimate the next move, with bullish and bearish projections anchored on different swing points.
Chart output includes structure lines, a dotted projection for N bars ahead, ATR-scaled S/R zones, and a projected level label.
👉 Read | Signals | @mql5dev
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Quantora Account Health Monitor for MT5 provides a real-time view of account condition and risk, focused on monitoring and analysis. The indicator does not open, modify, or manage trades.
Key account metrics including balance, equity, margin, drawdown, and exposure are consolidated into a single dashboard to reduce the need for multiple terminal views. Additional fields include floating P/L, open position count, total lot exposure, and current spread, with automatic updates.
A central output is the Account Health Score, calculated from margin usage, drawdown, and open position exposure. The result is a 0–100 score mapped to states such as excellent, good, warning, or critical for fast status checks.
Risk thresholds are configurable to align scoring and alerts with different risk profiles and trading approaches.
👉 Read | Freelance | @mql5dev
Key account metrics including balance, equity, margin, drawdown, and exposure are consolidated into a single dashboard to reduce the need for multiple terminal views. Additional fields include floating P/L, open position count, total lot exposure, and current spread, with automatic updates.
A central output is the Account Health Score, calculated from margin usage, drawdown, and open position exposure. The result is a 0–100 score mapped to states such as excellent, good, warning, or critical for fast status checks.
Risk thresholds are configurable to align scoring and alerts with different risk profiles and trading approaches.
👉 Read | Freelance | @mql5dev
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Weekend gap fill was reframed from a trading belief into a measurable specification: gap size is Monday open minus Friday close in standardized pips, and a fill occurs when price touches the Friday close within a bounded window (default 168 hours). Gaps with missing minute history are tagged NO_DATA and excluded.
Data collection runs in an MT5 MQL5 Expert Advisor that scans symbols, detects weekend gaps (>=48h), applies min/max pip filters, then checks M5 (configurable) bars for direction-aware fill events. Results are exported per symbol to a consistent CSV schema.
Python ingests and cleans the CSVs (encoding fallbacks, dedupe, outlier control), then reports fill rates, time-to-fill distributions, bucket stats, logistic regression for gap_pips vs fill probability, and Kaplan–Meier survival curves. In the EURUSD/GBPUSD/USDJPY sample, gap size was n...
👉 Read | Docs | @mql5dev
Data collection runs in an MT5 MQL5 Expert Advisor that scans symbols, detects weekend gaps (>=48h), applies min/max pip filters, then checks M5 (configurable) bars for direction-aware fill events. Results are exported per symbol to a consistent CSV schema.
Python ingests and cleans the CSVs (encoding fallbacks, dedupe, outlier control), then reports fill rates, time-to-fill distributions, bucket stats, logistic regression for gap_pips vs fill probability, and Kaplan–Meier survival curves. In the EURUSD/GBPUSD/USDJPY sample, gap size was n...
👉 Read | Docs | @mql5dev
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Quantora Trading Session Monitor for MT5 is a monitoring indicator focused on global session timing and real-time market activity. It does not place, modify, or manage orders and is intended for analysis and situational awareness.
The dashboard reports Sydney, Tokyo, London, and New York status (open or closed), time remaining to the next state change, and active overlaps. It also flags the next upcoming session and runs a live countdown.
Market activity is summarized with ATR, spread, and the current daily range to classify conditions as quiet, normal, or active. Time is shown in both UTC and broker server time, consolidating session timing and volatility context in one view.
👉 Read | Forum | @mql5dev
The dashboard reports Sydney, Tokyo, London, and New York status (open or closed), time remaining to the next state change, and active overlaps. It also flags the next upcoming session and runs a live countdown.
Market activity is summarized with ATR, spread, and the current daily range to classify conditions as quiet, normal, or active. Time is shown in both UTC and broker server time, consolidating session timing and volatility context in one view.
👉 Read | Forum | @mql5dev
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This article designs a reusable MT5 position sizing engine by separating risk policy from lot conversion. Four interchangeable models output a target risk amount: fixed fractional (percent of balance), fixed monetary (flat amount), volatility-scaled (ATR-based stop), and equity-curve scaling (auto de-risking in drawdown).
A shared CLotConverter turns risk plus stop distance into broker-accepted volume using OrderCalcProfit() to measure money-per-point, then normalizes to min/max/step. This avoids fragile “$10 per pip” assumptions and stays correct across forex, indices, metals, CFDs, and account currencies.
The implementation adds structured results (target vs rounded actual risk), caches symbol constraints, uses closed-bar ATR for stability, and includes a demo EA plus relationship-based tests. Known gaps: no margin cap, no portfolio correlation control, a...
👉 Read | VPS | @mql5dev
A shared CLotConverter turns risk plus stop distance into broker-accepted volume using OrderCalcProfit() to measure money-per-point, then normalizes to min/max/step. This avoids fragile “$10 per pip” assumptions and stays correct across forex, indices, metals, CFDs, and account currencies.
The implementation adds structured results (target vs rounded actual risk), caches symbol constraints, uses closed-bar ATR for stability, and includes a demo EA plus relationship-based tests. Known gaps: no margin cap, no portfolio correlation control, a...
👉 Read | VPS | @mql5dev
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Quantora Symbol Information Dashboard for MT5 provides an on-chart panel with symbol specifications and live trading conditions. It is informational only and does not place, modify, or manage orders.
The dashboard shows real-time bid, ask, spread, and market status sourced from the broker. Contract parameters include point size, tick size, tick value, contract size, and lot minimum/maximum/step, updated as the broker feed changes.
Additional fields cover swap rates, stops and freeze levels, trading mode, and basic account data. Daily high, low, range, and ATR are included for a quick snapshot of current volatility.
Monitoring can follow the current chart symbol or a user-selected instrument, keeping reference data visible without leaving the chart.
👉 Read | Freelance | @mql5dev
The dashboard shows real-time bid, ask, spread, and market status sourced from the broker. Contract parameters include point size, tick size, tick value, contract size, and lot minimum/maximum/step, updated as the broker feed changes.
Additional fields cover swap rates, stops and freeze levels, trading mode, and basic account data. Daily high, low, range, and ATR are included for a quick snapshot of current volatility.
Monitoring can follow the current chart symbol or a user-selected instrument, keeping reference data visible without leaving the chart.
👉 Read | Freelance | @mql5dev
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A Stochastic-based signal indicator is available for spotting potential reversal points using strict crossover rules inside the extreme zones.
Buy signals print only when the prior K or D value is at or below the oversold level (default 20) and the K line crosses above D. Sell signals print only when the prior K or D value is at or above the overbought level (default 80) and K crosses below D.
An anti-streak filter enforces alternation, blocking consecutive same-direction arrows to reduce repeated signals during sustained moves. Calculations, arrows, and optional popup alerts are confirmed on closed candles only, avoiding repainting behavior.
Inputs include standard Stochastic parameters, configurable oversold/overbought boundaries, and an alert toggle. Recommended usage is as a momentum reversal component alongside trend filters or key levels, not ...
👉 Read | CodeBase | @mql5dev
Buy signals print only when the prior K or D value is at or below the oversold level (default 20) and the K line crosses above D. Sell signals print only when the prior K or D value is at or above the overbought level (default 80) and K crosses below D.
An anti-streak filter enforces alternation, blocking consecutive same-direction arrows to reduce repeated signals during sustained moves. Calculations, arrows, and optional popup alerts are confirmed on closed candles only, avoiding repainting behavior.
Inputs include standard Stochastic parameters, configurable oversold/overbought boundaries, and an alert toggle. Recommended usage is as a momentum reversal component alongside trend filters or key levels, not ...
👉 Read | CodeBase | @mql5dev
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Quantora Trade Statistics Dashboard for MT5 summarizes closed trade history into an always-on chart panel, reducing the need to scan account reports. It focuses on performance monitoring and does not place, modify, or manage orders.
The dashboard tracks win rate, profit factor, net profit, average win and loss, reward-to-risk, streak statistics, and BUY versus SELL breakdown. It also reports trading volume and current floating P/L.
Results can be scoped to today, the current week, the current month, or the full account history. Symbol filtering is supported, with optional Magic Number filtering to isolate specific strategies or EAs. The panel auto-updates, runs on any timeframe, and is positioned as low-overhead analytics rather than execution tooling.
👉 Read | Freelance | @mql5dev
The dashboard tracks win rate, profit factor, net profit, average win and loss, reward-to-risk, streak statistics, and BUY versus SELL breakdown. It also reports trading volume and current floating P/L.
Results can be scoped to today, the current week, the current month, or the full account history. Symbol filtering is supported, with optional Magic Number filtering to isolate specific strategies or EAs. The panel auto-updates, runs on any timeframe, and is positioned as low-overhead analytics rather than execution tooling.
👉 Read | Freelance | @mql5dev
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Quantora Drawdown Monitor for MT5 provides real-time account risk tracking focused on balance, equity, and drawdown. A compact dashboard reports current and daily drawdown, floating P/L, daily result, margin level, and open positions without manual calculations.
Peak equity tracking is included to quantify peak drawdown and measure distance from the session high. Warning and danger thresholds are configurable, with the display classifying conditions as low, warning, or danger based on drawdown percentage.
Symbol filtering and optional Magic Number filtering support monitoring specific strategies or EAs. The indicator is lightweight, updates automatically, runs on any timeframe, and is intended for monitoring and analysis only with no trade execution or position management.
👉 Read | Forum | @mql5dev
Peak equity tracking is included to quantify peak drawdown and measure distance from the session high. Warning and danger thresholds are configurable, with the display classifying conditions as low, warning, or danger based on drawdown percentage.
Symbol filtering and optional Magic Number filtering support monitoring specific strategies or EAs. The indicator is lightweight, updates automatically, runs on any timeframe, and is intended for monitoring and analysis only with no trade execution or position management.
👉 Read | Forum | @mql5dev
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Quantora Market Volatility Monitor for MT5 provides real-time volatility classification based on ATR, comparing current readings against a historical average. Output is grouped into low, normal, high, or extreme to support quick assessment of current market conditions.
The dashboard reports daily high, low, and range, plus a ratio of daily movement versus ATR for context on session activity. It also shows live bid, ask, and spread to keep execution conditions visible alongside volatility.
ATR period, averaging window, and threshold levels are configurable to suit different instruments and approaches. The display updates automatically and supports any symbol and timeframe.
The indicator is intended for monitoring and analysis. It does not issue trade signals or perform trade management.
👉 Read | Forum | @mql5dev
The dashboard reports daily high, low, and range, plus a ratio of daily movement versus ATR for context on session activity. It also shows live bid, ask, and spread to keep execution conditions visible alongside volatility.
ATR period, averaging window, and threshold levels are configurable to suit different instruments and approaches. The display updates automatically and supports any symbol and timeframe.
The indicator is intended for monitoring and analysis. It does not issue trade signals or perform trade management.
👉 Read | Forum | @mql5dev
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MT5 Broker Environment Report is a lightweight diagnostic script for MetaTrader 5 that writes a structured snapshot of the terminal, account mode, symbol specification, and trading environment to the Experts log and, optionally, a text file. It is designed for comparing a working setup with a failing one without revealing trading activity.
It captures differences that commonly break portability across brokers, including symbol suffixes, volume steps and limits, stop and freeze levels, filling and expiration modes, trade and order modes, and terminal permissions. Output also includes terminal/MQL5 build info, margin mode, leverage, deposit currency, server time, and symbol pricing parameters.
Usage is script-based: place SCA_BrokerEnvironmentReport.mq5 under MQL5\Scripts, compile, attach to a chart, then review the Experts tab. Optional inputs control file out...
👉 Read | NeuroBook | @mql5dev
It captures differences that commonly break portability across brokers, including symbol suffixes, volume steps and limits, stop and freeze levels, filling and expiration modes, trade and order modes, and terminal permissions. Output also includes terminal/MQL5 build info, margin mode, leverage, deposit currency, server time, and symbol pricing parameters.
Usage is script-based: place SCA_BrokerEnvironmentReport.mq5 under MQL5\Scripts, compile, attach to a chart, then review the Experts tab. Optional inputs control file out...
👉 Read | NeuroBook | @mql5dev
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Quantora Multi-Timeframe Trend Dashboard for MT5 provides a consolidated view of trend state across seven timeframes, from M1 through D1. Each timeframe is classified as bullish, bearish, or neutral using an EMA-based model, reducing the need to switch charts when checking alignment.
A weighted aggregate produces an overall trend score that summarizes market bias from strong bearish to strong bullish. This highlights whether structure is consistent across timeframes or mixed, supporting top-down context before execution decisions.
The panel also displays bid, ask, and spread, with real-time updates. EMA periods are configurable to match different methodologies. The tool is intended for analysis and does not generate trade signals or perform trade management.
👉 Read | AlgoBook | @mql5dev
A weighted aggregate produces an overall trend score that summarizes market bias from strong bearish to strong bullish. This highlights whether structure is consistent across timeframes or mixed, supporting top-down context before execution decisions.
The panel also displays bid, ask, and spread, with real-time updates. EMA periods are configurable to match different methodologies. The tool is intended for analysis and does not generate trade signals or perform trade management.
👉 Read | AlgoBook | @mql5dev
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MT5 Order Preflight is a read-only diagnostic script that validates a hypothetical market, limit, or stop request against the current trading rules advertised for the chart symbol. It logs a plain-text report to the Experts tab and can optionally write the same output into the terminal-wide Common\Files directory. No orders are sent, modified, or canceled.
Checks include current Bid/Ask availability, symbol trade mode and long/short/close-only restrictions, order-type support, volume min/max and step alignment, tick-size price normalization for pending orders, stops-level distance, stop-loss/take-profit support and minimum distance, and advertised filling flags (FOK/IOC/BOC).
Usage: compile SCA_MT5OrderPreflight.mq5 under MQL5\Scripts\StratCoreAlpha, run it on the affected symbol, select scenario, volume, and distances, then review PASS/WARN/FAIL lines....
👉 Read | AppStore | @mql5dev
Checks include current Bid/Ask availability, symbol trade mode and long/short/close-only restrictions, order-type support, volume min/max and step alignment, tick-size price normalization for pending orders, stops-level distance, stop-loss/take-profit support and minimum distance, and advertised filling flags (FOK/IOC/BOC).
Usage: compile SCA_MT5OrderPreflight.mq5 under MQL5\Scripts\StratCoreAlpha, run it on the affected symbol, select scenario, volume, and distances, then review PASS/WARN/FAIL lines....
👉 Read | AppStore | @mql5dev
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Quantora Multi-Timeframe RSI Dashboard for MT5 provides momentum analysis by aggregating RSI readings across seven intervals, from M1 through D1. Each timeframe is categorized as overbought, bullish, neutral, bearish, or oversold, allowing fast comparison of short-, mid-, and higher-timeframe conditions without chart switching.
The panel calculates an average RSI and an overall momentum bias, plus a count of how many timeframes sit in each state to highlight alignment versus dispersion. RSI periods and threshold levels are configurable to match different rule sets.
The interface is lightweight, updates automatically, and operates across any symbol and timeframe. The tool is intended for analysis and visualization only, with no trade execution, trade management, or standalone signal output.
👉 Read | AlgoBook | @mql5dev
The panel calculates an average RSI and an overall momentum bias, plus a count of how many timeframes sit in each state to highlight alignment versus dispersion. RSI periods and threshold levels are configurable to match different rule sets.
The interface is lightweight, updates automatically, and operates across any symbol and timeframe. The tool is intended for analysis and visualization only, with no trade execution, trade management, or standalone signal output.
👉 Read | AlgoBook | @mql5dev
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Risk Position Size Calculator is an on-chart tool that converts a fixed percentage risk and a stop-loss distance into an exact lot size, expressed in account currency. Entry and Stop lines are draggable; position size, cash risk, required margin, free margin after entry, and an optional reward:risk target update in real time, including when markets are closed. The tool calculates and displays only and does not place, modify, or close orders.
Stop valuation and currency conversion use OrderCalcProfit() for one lot, avoiding common inaccuracies from point-based estimates on cross pairs, metals, and CFDs. Margin figures come from OrderCalcMargin() rather than approximations. Volume is rounded down to the broker step to prevent exceeding the declared risk, and broker minimum-volume violations are reported explicitly. Risk can be based on balance, equity, or free...
👉 Read | VPS | @mql5dev
Stop valuation and currency conversion use OrderCalcProfit() for one lot, avoiding common inaccuracies from point-based estimates on cross pairs, metals, and CFDs. Margin figures come from OrderCalcMargin() rather than approximations. Volume is rounded down to the broker step to prevent exceeding the declared risk, and broker minimum-volume violations are reported explicitly. Risk can be based on balance, equity, or free...
👉 Read | VPS | @mql5dev
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Quantora Multi-Timeframe MACD Dashboard for MT5 provides multi-timeframe momentum and trend analysis based on MACD. It calculates main line, signal line, and histogram values across seven timeframes from M1 through D1 and presents them in a single dashboard view.
Each timeframe is graded from strong bearish to strong bullish, supporting quick assessment of momentum strength and direction. Aggregation includes a total momentum score and an overall MACD bias to highlight whether direction is consistent or conflicting across timeframes.
Additional counters report bullish, bearish, and neutral timeframes, plus positive versus negative histogram states. MACD parameters are configurable for different trading approaches. The interface updates automatically and supports any symbol and chart timeframe. Intended for analysis only; no signals or trade management.
👉 Read | VPS | @mql5dev
Each timeframe is graded from strong bearish to strong bullish, supporting quick assessment of momentum strength and direction. Aggregation includes a total momentum score and an overall MACD bias to highlight whether direction is consistent or conflicting across timeframes.
Additional counters report bullish, bearish, and neutral timeframes, plus positive versus negative histogram states. MACD parameters are configurable for different trading approaches. The interface updates automatically and supports any symbol and chart timeframe. Intended for analysis only; no signals or trade management.
👉 Read | VPS | @mql5dev
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Building profitable trading systems is treated as an engineering pipeline: create small prototypes fast, test early, then add only the filters that measurably improve robustness. Simpler EAs are easier to validate, fix, and port to MT5, while large codebases often add noise without improving edge.
Signal selection focuses on execution realism and risk structure: avoid sub-minute holding times due to latency sensitivity, and prefer equity curves close to balance with low drawdown and no grid/martingale behavior.
Commercial EAs are evaluated like software investments: profitability must exceed cost by multiples, durability is never guaranteed, and multi-currency behavior is a key sign the logic captures broader market dynamics.
Indicators are treated as supportive tools, not entry generators; the practical value is in pattern/geometry detection and notif...
👉 Read | Signals | @mql5dev
Signal selection focuses on execution realism and risk structure: avoid sub-minute holding times due to latency sensitivity, and prefer equity curves close to balance with low drawdown and no grid/martingale behavior.
Commercial EAs are evaluated like software investments: profitability must exceed cost by multiples, durability is never guaranteed, and multi-currency behavior is a key sign the logic captures broader market dynamics.
Indicators are treated as supportive tools, not entry generators; the practical value is in pattern/geometry detection and notif...
👉 Read | Signals | @mql5dev
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Quantora Moving Average Dashboard for MT5 consolidates key trend filters into a single on-chart panel. It monitors EMA 20/50/100/200 and SMA 50/200, showing current price positioning versus each average to outline short-, medium-, and long-term structure.
Moving average alignment is aggregated into a score and a summarized market bias output (bullish, bearish, neutral) for faster context during multi-timeframe review. The panel also reports bid, ask, and spread with real-time updates.
All periods are configurable, with support for any symbol and timeframe. The tool is analytical only and does not execute or manage orders.
👉 Read | CodeBase | @mql5dev
Moving average alignment is aggregated into a score and a summarized market bias output (bullish, bearish, neutral) for faster context during multi-timeframe review. The panel also reports bid, ask, and spread with real-time updates.
All periods are configurable, with support for any symbol and timeframe. The tool is analytical only and does not execute or manage orders.
👉 Read | CodeBase | @mql5dev
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Quantora Candle Strength Analyzer for MT5 is a free, open-source indicator focused on candle structure and price action.
It evaluates body size, upper and lower wicks, candle direction, wick rejection, range conditions, plus buyer/seller pressure derived from candle geometry. Results are summarized as a Pressure Score from -5 to +5 based on direction, strength, pressure, and rejection.
Operation supports Current Candle and Closed Candle modes. Parameters include body thresholds, wick ratio, range lookback, and update interval. The dashboard shows live spread, candle range, average range, and additional real-time candle metrics.
Runs on the attached chart timeframe and is intended for multiple market types. Buyer/Seller Pressure is a structural proxy, not order flow or volume. No trade execution or guaranteed signals are provided.
👉 Read | NeuroBook | @mql5dev
It evaluates body size, upper and lower wicks, candle direction, wick rejection, range conditions, plus buyer/seller pressure derived from candle geometry. Results are summarized as a Pressure Score from -5 to +5 based on direction, strength, pressure, and rejection.
Operation supports Current Candle and Closed Candle modes. Parameters include body thresholds, wick ratio, range lookback, and update interval. The dashboard shows live spread, candle range, average range, and additional real-time candle metrics.
Runs on the attached chart timeframe and is intended for multiple market types. Buyer/Seller Pressure is a structural proxy, not order flow or volume. No trade execution or guaranteed signals are provided.
👉 Read | NeuroBook | @mql5dev
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Trade Adjustment Panel is an on-chart position management utility for MT5 that modifies existing market positions after execution. It is intended for manual trades or positions opened by other Expert Advisors, with no entry logic, signal generation, or order placement.
Stop Loss functions include break-even, break-even with configurable point offset, profit locking via Stop Loss repositioning, and trailing stop updates based on a fixed point distance from current price.
Take Profit targets can be calculated using Risk:Reward multiples (1R, 2R, 3R), derived from the initial entry-to-Stop Loss distance.
Volume tools support partial closures at 25%, 50%, 75%, or 100%, with broker rule checks against SYMBOL_VOLUME_MIN and SYMBOL_VOLUME_STEP before requests are sent.
Execution can be filtered by symbol scope (current chart or all charts) and direction (Buy, Sel...
👉 Read | NeuroBook | @mql5dev
Stop Loss functions include break-even, break-even with configurable point offset, profit locking via Stop Loss repositioning, and trailing stop updates based on a fixed point distance from current price.
Take Profit targets can be calculated using Risk:Reward multiples (1R, 2R, 3R), derived from the initial entry-to-Stop Loss distance.
Volume tools support partial closures at 25%, 50%, 75%, or 100%, with broker rule checks against SYMBOL_VOLUME_MIN and SYMBOL_VOLUME_STEP before requests are sent.
Execution can be filtered by symbol scope (current chart or all charts) and direction (Buy, Sel...
👉 Read | NeuroBook | @mql5dev
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Previous Day High/Low/Close levels remain common intraday reference points for support, resistance, and prior session value. This indicator reads High, Low, and Close from the last completed D1 bar and plots them as horizontal lines on any intraday chart, keeping prior-day structure visible without timeframe changes.
PDH is treated as a potential resistance or breakout trigger, PDL as potential support or breakdown trigger, and PDC as a session pivot where trading above is often read as net bullish and below as net bearish.
Multi-day mode (InpDaysToShow 1–10) draws each older day’s levels only across its own session with “-N” labeling to avoid overlap. Lines refresh automatically when a new daily bar opens. Inputs cover per-level visibility, colors, shared line style/width, and optional labels with price and font size. Session boundaries follow the b...
👉 Read | Quotes | @mql5dev
PDH is treated as a potential resistance or breakout trigger, PDL as potential support or breakdown trigger, and PDC as a session pivot where trading above is often read as net bullish and below as net bearish.
Multi-day mode (InpDaysToShow 1–10) draws each older day’s levels only across its own session with “-N” labeling to avoid overlap. Lines refresh automatically when a new daily bar opens. Inputs cover per-level visibility, colors, shared line style/width, and optional labels with price and font size. Session boundaries follow the b...
👉 Read | Quotes | @mql5dev
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