22 Aug 2026, 22:02 UTC445 views2 reactionsread 22 August 2026 Photo
Most MT5 indicators lean on mean, standard deviation, and least-squares regression, which collapse under outliers: a single bad tick or gap can drag the mean, inflate volatility, and even flip a regression slope.
A robust alternative replaces those estimators with median, MAD (scaled by 1.4826 to match sigma on clean data), and Theil-Sen slope (median of pairwise slopes). These keep meaning until a large fraction of…
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22 Aug 2026, 20:02 UTC≈2,030 views11 reactionsread 22 August 2026 Photo
This article outlines an MVP “LLM-driven trader” built with Python + MetaTrader 5 + an OpenRouter-connected language model. MT5 supplies recent OHLCV candles, the script packages them into a prompt, and the LLM returns a structured decision: BUY/SELL/WAIT plus entry, SL/TP, and a short rationale.
Key implementation details: cloud inference keeps hardware requirements low; model choice is swappable via a single API p…
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22 Aug 2026, 18:02 UTC≈3,620 views20 reactionsread 22 August 2026 Photo
K²VAE targets time-series forecasting under high uncertainty by combining linear latent dynamics (Koopman), adaptive error filtering (KalmanNet), and probabilistic sampling (VAE). Output is a full distribution of future states, with variance reflecting confidence rather than a single trajectory.
Architecture splits into patching, encoder, and decoder. The decoder returns mean and variance to model P(Y|Z) and preserv…
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22 Aug 2026, 14:00 UTC≈6,370 views37 reactionsread 22 August 2026 Photo
Reverse RSI Bands is a custom indicator that reverse-engineers the RSI equation and plots the exact price levels where RSI will reach selected overbought and oversold thresholds. Instead of a separate oscillator window, the main chart shows the calculated upper and lower price bands, enabling advance identification of potential extremes and dynamic support/resistance zones.
The implementation uses algebraic deductio…
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22 Aug 2026, 12:00 UTC≈6,820 views31 reactionsread 22 August 2026 Photo
SessionORB_EA automates an opening-range breakout around a configurable session start (London, New York, or any custom broker-time open). It records the high/low of the first N minutes using M1 data, then maintains two trigger levels at the range boundaries plus an optional buffer.
A trade is placed only after a bar closes beyond a trigger, not on a wick. One market position per session is allowed by default, with p…
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22 Aug 2026, 10:00 UTC≈7,010 views31 reactionsread 22 August 2026 Photo
Adaptive Kalman Trend Filter uses a single-state Kalman estimate with process noise (Q) recalculated on every bar. Q is scaled between min and max multipliers using Kaufman’s Efficiency Ratio (ER), avoiding fixed-parameter lag versus whipsaw trade-offs. High ER raises Q and the Kalman gain, keeping the line closer to price; low ER reduces Q and increases smoothing during range conditions.
Regime bands are derived fr…
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22 Aug 2026, 08:00 UTC≈7,240 views24 reactionsread 22 August 2026 Photo
Quantora Trading Cost Calculator for MT5 estimates total trade cost before entry using live symbol data and user inputs. It aggregates spread, commission, and swap into a single view to reflect expected costs under current conditions.
Inputs include lot size, direction, commission per lot, and holding period. Output breaks down spread cost, commission cost, and swap impact, then totals the estimate in account curren…
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22 Aug 2026, 06:00 UTC≈7,350 views32 reactionsread 22 August 2026 Photo
Quantora Spread Monitor MT5 is a real-time spread monitoring indicator for MetaTrader 5. It continuously tracks current spread and records minimum, maximum, and average values to quantify changing transaction costs over time.
A built-in history graph highlights sudden spread spikes and periods of instability. Spread levels are classified from low to extreme, with configurable thresholds to match specific risk and co…
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22 Aug 2026, 04:00 UTC≈7,180 views21 reactionsread 22 August 2026 Photo
Quantora Trade Manager MT4 is a position management utility for MetaTrader 4 focused on controlling and protecting existing trades rather than generating entries. It automates routine actions including stop loss, take profit, break even, and trailing stop to reduce manual intervention and keep execution consistent.
The manager can auto-apply missing SL/TP, then move positions to break even after a configurable profi…
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22 Aug 2026, 02:02 UTC≈6,870 views21 reactionsread 22 August 2026 Photo
MetaTrader 5 economic calendar access in MQL5 is split across MqlCalendarCountry, MqlCalendarEvent, and MqlCalendarValue. A unified structure can simplify consumption by grouping country metadata, event definition, and release values under one record.
A provider pattern standardizes access through Get(), Exists(), Next(), and Previous(), with filters for time range, currency, country code, and importance. Next/Previ…
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22 Aug 2026, 00:02 UTC≈6,660 views17 reactionsread 22 August 2026 Photo
Moving-average inputs were extended with statistical signal processing to reduce market noise, using Independent Components Analysis (ICA) as a blind source separation step.
Pipeline used SMA-filtered OHLC data with 5-day lags, exported from MQL5 (49 columns) and modeled in Python. A surrogate target based on future SMA change aligned with raw return direction about 81% of the time, and showed improved classificatio…
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21 Aug 2026, 22:02 UTC≈6,740 views25 reactionsread 22 August 2026 Photo
Differential Search Algorithm (DSA), proposed by Pinar Civicioglu (2012), targets continuous optimization as an alternative to PSO and DE. It maintains a population and updates candidates through directed moves with controlled randomness.
Per iteration, each agent picks a direction via B-DSA (permutation), S-DSA (top-N sampling), E1-DSA (single random leader), or E2-DSA (best leader). Step magnitude uses Gamma-distr…
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Showing the 12 most recent of 188 posts we hold for @mql5dev. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.