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The most popular trading robots and technical indicators, news signals, regular incoming ready-made MQL5 programs in CodeBase and the most discussed Forum topics.

Published article "Creating a Custom Tick Chart in MQL5".

Creating a Custom Tick Chart in MQL5

Learn how to implement a tick-based chart in MQL5 where each bar is built from a fixed number of ticks instead of time. The article covers creating and configuring a custom symbol, capturing real-time ticks, forming OHLC values, and pushing data with CustomRatesUpdate. This approach produces activity-driven candles that better reflect market intensity and short-term momentum for precise intraday analysis.

Published article "The MQL5 Standard Library Explorer (Part 11): How to Build a Matrix-Based Market Structure Indicator in MQL5".

The MQL5 Standard Library Explorer (Part 11): How to Build a Matrix-Based Market Structure Indicator in MQL5

Learn to engineer an MQL5 indicator that converts trend, momentum, and volatility into a single raw score using a matrix.mqh (ALGLIB). The article covers a separate‑window oscillator to validate the core mathematics, then a main‑chart indicator that plots non‑repainting buy/sell arrows when the score crosses user‑defined thresholds. An optional long‑term EMA filter, a minimum‑bar cooldown, and built‑in alerts make the tool practical for live trading.

Published article "MetaTrader 5 Machine Learning Blueprint (Part 15): How to Calibrate Profit-Taking and Stop-Loss Targets from Synthetic Data".

MetaTrader 5 Machine Learning Blueprint (Part 15): How to Calibrate Profit-Taking and Stop-Loss Targets from Synthetic Data

This article applies the Optimal Trading Rule from AFML Chapter 13 to set profit targets and stop-losses without in-sample calibration. We model post-entry P&L with a discrete Ornstein–Uhlenbeck process, run a 100,000-path search, and implement Python, multiprocessing, and a Numba @njit parallel kernel (242× faster). The result is an optimal (PT, SL) under three forecast specifications, constrained by the prop-firm daily loss limit.

7 new topics on forum:

and 4 more...

Published article "Event-Driven Architecture in MQL5: How to Turn an Expert Advisor into a Full-Fledged Trading System".

Event-Driven Architecture in MQL5: How to Turn an Expert Advisor into a Full-Fledged Trading System

The article is dedicated to the event-driven architecture in MQL5 and describes the transition from the monolithic OnTick model to distributed processing. We will consider predefined and custom events, services and messaging between programs, as well as common architectural errors. A practical example demonstrates how to organize interactions between indicators and an EA to reduce load, improve readability, and simplify maintenance.

More than 1000 new charts published:

График EURUSD, M30, 2026.05.10 21:35 UTC, MetaQuotes Ltd., MetaTrader 5, Demo
EURUSD, M30
Chart EURUSD.fsim, H12, 2026.05.10 01:25 UTC, Exness Technologies Ltd, MetaTrader 5, Demo
EURUSD.fsim, H12
Chart GER40, M1, 2026.05.09 06:09 UTC, Titan FX Limited, MetaTrader 5, Real
GER40, M1

The most downloaded free products:

There are more than 51,170 products available in Market

Bestsellers in the Market:

Most downloaded source codes this week

  • Prime Quantum AI — TRADE WITH AI (Anthropic Claude, OpenAI GPT, Google Gemini, DeepSeek, xAI Grok). Prime Quantum AI is an MT5 Expert Advisor combining a classical pre-filter (ADX + Alligator) with AI vision-based chart confirmation from major AI providers (Anthropic Claude, OpenAI GPT, Google Gemini, DeepSeek, xAI Grok). When the pre-filter detects a trend setup, the EA captures three adaptive- timeframe chart screenshots and sends them to the configured AI provider, which returns direction, confidence, stop-loss and take-profit. A trade is opened only when the AI confirms the pre-filter signal with sufficient confidence. Features: dual Standard Broker / Prop Firm risk modes, configurable lot sizing, optional martingale, multiple SL/TP modes, trailing stop, partial close, news/time/day/spread filters, draggable on-chart info panel, and fully exposed indicator parameters. Requires MetaTrader 5, WebRequest enabled for your provider's URL, and a valid API key. Provider auto-detected from key format.
  • XANDER Grid XAUUSD Bidirectional grid EA for Gold (XAUUSD). Ideal for ProCent accounts. Includes Daily Profit Target and Max Drawdown protection.
  • Super Trend The Supertrend indicator plots an ATR-based dynamic trend line on the MetaTrader 5 chart, switching between a green uptrend and red downtrend line with optional buy/sell arrow signals at every trend reversal.

Most read articles this week

How to purchase a trading robot from the MetaTrader Market and to install it?

How to purchase a trading robot from the MetaTrader Market and to install it?

A product from the MetaTrader Market can be purchased on the MQL5.com website or straight from the MetaTrader 4 and MetaTrader 5 trading platforms. Choose a desired product that suits your trading style, pay for it using your preferred payment method, and activate the product.

Python + MetaTrader 5: Fast Research Framework for Data, Features, and Prototypes

Python + MetaTrader 5: Fast Research Framework for Data, Features, and Prototypes

The article demonstrates how Python and MetaTrader 5 integration combines research flexibility and trade execution into a single workflow. Python is used for data analysis, feature selection and model training, while MetaTrader 5 is used for testing and trading automation. This approach simplifies the transfer of solutions into practice, increases reproducibility, and makes the development of trading systems faster and more structured.

22 new signals now available for subscription:

CryptoZif
87% 1085 trades
Growth:87.44%
Equity:4,186.78USD
Balance:9,374.33USD
Friday Monday IC
72% 39 trades
Growth:71.52%
Equity:85.76USD
Balance:85.76USD
Tenbagger Army Gold TMGM 300 HR
52% 83 trades
Growth:51.76%
Equity:459.64USD
Balance:459.64USD
and 19 more...

5 new topics on forum:

and 2 more...

The most downloaded free products:

There are more than 51,070 products available in Market

Bestsellers in the Market:

16 new signals now available for subscription:

Range Rocket Long
62% 440 trades
Growth:62.32%
Equity:5,564.26USD
Balance:5,564.26USD
NRcorp
50% 964 trades
Growth:49.90%
Equity:8,951.29USD
Balance:9,617.29USD
Gold Matrix
47% 83 trades
Growth:47.09%
Equity:1,225.78USD
Balance:1,225.78USD
and 13 more...

7 new topics on forum:

and 4 more...

The most downloaded free products:

More than 600 new charts published:

チャート IBM.us, M15, 2026.05.08 12:07 UTC, Gerchik and Co Limited, MetaTrader 5, Real
IBM.us, M15
チャート EURUSD, D1, 2026.05.08 02:17 UTC, Tradexfin Limited, MetaTrader 5, Real
EURUSD, D1
차트 EURUSD, M5, 2026.05.08 21:17 UTC, FundedNext Ltd, MetaTrader 5, Demo
EURUSD, M5

Bestsellers in the Market:

The most popular forum topics:

18 new signals now available for subscription:

Zerqon EA
417% 985 trades
Growth:417.06%
Equity:1,551.17USD
Balance:1,551.17USD
MonitoringL
39% 1193 trades
Growth:38.80%
Equity:5,603.00USD
Balance:5,705.44USD
VSGoldHarvestingM5
34% 101 trades
Growth:34.23%
Equity:4,545.86USD
Balance:4,764.71USD
and 15 more...
There are more than 50,990 products available in Market

7 new topics on forum:

and 4 more...
There are more than 2,840 articles published on site

Published article "MetaTrader 5 and the MQL5 Economic Calendar: How to Turn News into a Reproducible Trading System".

MetaTrader 5 and the MQL5 Economic Calendar: How to Turn News into a Reproducible Trading System

The article presents a systematic approach to news trading in MetaTrader 5 using the built-in economic calendar: data structure, API functions, time synchronization rules, and event filtering. Methods of caching and incremental updating without overloading the server are described. The article also provides a working mechanism for exporting history to an .EX5 resource for deterministic testing using the same algorithm.

New publications in CodeBase

  • Symbol Summary Symbol Summary is a service for MT5 that opens a separate viewer window and shows a detailed report on a trading symbol. It supports Russian and English language, window resizing, scrolling, automatic report update when changing symbol or timeframe of the chart without restarting the service.
  • GlowTrend Pro A sleek, color-changing trend follower based on adaptive moving averages with real-time reversal glow signals.

Published article "MetaTrader 5 Machine Learning Blueprint (Part 14): Transaction Cost Modeling for Triple-Barrier Labels in MQL5".

MetaTrader 5 Machine Learning Blueprint (Part 14): Transaction Cost Modeling for Triple-Barrier Labels in MQL5

The article replaces hardcoded cost assumptions in triple-barrier labeling with measured inputs. An MQL5 script captures spread distribution, swap rates, and symbol metadata from your broker, and a Python model converts them into a broker-calibrated min ret you can pass to get events. Labels then reflect the actual round-trip friction for your instrument and holding period.

Published article "MQL5 Trading Tools (Part 30): Class-Based Tool Palette Sidebar".

MQL5 Trading Tools (Part 30): Class-Based Tool Palette Sidebar

We refactor the Tools Palette from a flat, function-based panel into a modular, class-driven sidebar in MQL5. The design introduces supersampled canvas rendering for anti-aliased shapes, theme control, a category registry, snap alignment, and selective corner rounding. The result is a reusable, scalable sidebar foundation that you can extend with tool selection, dragging, and fly-out menus in future steps.

Published article "Market Microstructure in MQL5 (Part 1): Robust Foundation".

Market Microstructure in MQL5 (Part 1): Robust Foundation

This article builds the foundation layer of a twelve-part MQL5 market microstructure toolkit. It implements guarded math helpers (SafeDivide, SafeLog, SafeSqrt, SafeExp, SafeTanh), robust data validation (ValidateSymbolV2, SafeCopyClose), trimmed statistical estimators (robust mean var), a linear regression slope, shared structs, and an FFT. You compile a single include file that hardens indicators and expert advisors against silent numerical failures and standardizes data flow for later parts.

Published article "Three MACD Filters on US_TECH100: Five Years of Broker Data".

Three MACD Filters on US_TECH100: Five Years of Broker Data

This article tests three common filters on a standard MACD crossover for US_TECH100 H1 using five years of broker-native data. Filters are layered incrementally: regime, higher timeframe (HTF) alignment, and US session timing, to isolate each one's marginal impact. Results show session timing contributes far more than indicator refinements, while regime and HTF add little on their own. Includes a reproducible MQL5 regime classifier.

Published article "Beyond the Clock (Part 1): Building Activity and Imbalance Bars in Python and MQL5".

Beyond the Clock (Part 1): Building Activity and Imbalance Bars in Python and MQL5

The article replaces clock-based sampling with López de Prado's alternative bar types and provides two aligned implementations: a unified Python module for batch tick histories and an object‑oriented MQL5 library for live EAs. It covers Parquet/Dask infrastructure, data cleaning, and a single API. Practical issues are solved explicitly: zero‑tick time‑bar filtering, imbalance threshold initialization, EWM state persistence, and parity between Python and MQL5 outputs.

Published article "From Novice to Expert: Creating an MTF CRT Overlay Indicator in MQL5".

From Novice to Expert: Creating an MTF CRT Overlay Indicator in MQL5

Higher-timeframe CRT ranges are informative, yet traders often execute on lower timeframes without that context. We implement an MQL5 indicator that reads higher-timeframe OHLC, projects the full candle range, body, and wicks onto the active lower-timeframe chart, and marks entries, stops, and targets. This improves situational awareness and removes the need to switch windows.

Published article "Engineering Trading Discipline into Code (Part 5): Account-Level Risk Enforcement in MQL5".

Engineering Trading Discipline into Code (Part 5): Account-Level Risk Enforcement in MQL5

We introduce an MQL5 discipline engine that enforces risk consistently at the account level. It continuously scans positions from any source, validates SL/TP, equity-based exposure, and target R:R, and automatically corrects deviations by setting levels or adjusting volume. The result is uniform risk structure across manual and EA trades, supported by on-chart feedback and mode-based control.

Published article "Building an Object-Oriented FVG Scanner in MQL5".

Building an Object-Oriented FVG Scanner in MQL5

Create an object-oriented fair value gap (FVG) scanner in MQL5 and display liquidity gaps directly on a MetaTrader 5 chart, this article formalizes the imbalance geometry based on three candlesticks, synchronizes OHLC arrays with CopyRates, manages rectangles without leaks, and monitors mitigation in real time. It also shows how to integrate this class into an Expert Advisor with a strict new bar filter for stable and efficient execution.

More than 1200 new charts published:

Graphique XAUUSD, M15, 2026.05.07 02:11 UTC, Deriv (SVG) LLC, MetaTrader 5, Real
XAUUSD, M15
チャート ETHUSD, W1, 2026.05.07 10:13 UTC, Raw Trading Ltd, MetaTrader 4, Demo
ETHUSD, W1
Chart EURUSD, H1, 2026.05.07 10:43 UTC, Tickmill Europe Ltd, MetaTrader 5, Demo
EURUSD, H1

The most downloaded free products:

37 new signals now available for subscription:

Chiroptera Ultima Markets
504% 629 trades
Growth:504.14%
Equity:1,171.74EUR
Balance:1,206.47EUR
Chiroptera Hantec Markets Standard
318% 575 trades
Growth:318.19%
Equity:774.64EUR
Balance:786.11EUR
TITAN GROWTH AI
191% 227 trades
Growth:190.53%
Equity:244.80USD
Balance:257.22USD
and 34 more...

Bestsellers in the Market:

There are more than 50,900 products available in Market

5 new topics on forum:

and 2 more...

Published article "How to implement AutoARIMA forecasting in MQL5".

How to implement AutoARIMA forecasting in MQL5

This article presents an MQL5 implementation of AutoARIMA that builds ARIMA models without manual tuning. It estimates d via a variance-based heuristic, fits ARMA(p,q) by gradient optimization with Adam, and selects p and q using AICc. The code returns a one-step-ahead price forecast by differencing, model estimation, and integration back to price level, ready to call on a Close series.

Published article "Graph Theory: Heuristic Search Algorithm (A-Star) Applied in Trading".

Graph Theory: Heuristic Search Algorithm (A-Star) Applied in Trading

The article applies the A* heuristic to market structure by modeling validated swing highs and lows as graph nodes and weighting edges with ATR‑normalized distance, spread, and noise penalties. The engine searches the most efficient route to infer trade direction and targets, then filters signals by directional ratio, total path cost, and opposing swings. It anchors TP to the final node and SL to prior structure, with on‑chart visualization and configurable inputs.

Published article "MQL5 Wizard Techniques you should know (Part 88): Using Blooms Filter with a Custom Trailing Class".

MQL5 Wizard Techniques you should know (Part 88): Using Blooms Filter with a Custom Trailing Class

Our next focus in these series on ideas that can be rapidly prototyped with the MQL5 Wizard, is a Custom Trailing class that uses the Blooming Filter. Trailing Stop systems are an optional but very resourceful part to any trading system that we want to explore more in these series besides the traditional Entry Signals.

The most downloaded free products:

Bestsellers in the Market:

28 new signals now available for subscription:

SMCRECOVERY
983% 6725 trades
Growth:982.72%
Equity:200,000.00AUD
Balance:200,000.00AUD
Lunexa Core Standard
87% 612 trades
Growth:86.72%
Equity:506.82USD
Balance:506.82USD
Sun shine EA
50% 1812 trades
Growth:49.92%
Equity:14,369.67USD
Balance:14,992.03USD
and 25 more...
There are more than 50,800 products available in Market

New publications in CodeBase

  • Institutional Shannon Entropy (Predictability Index) A quantitative Information Theory engine that calculates the Shannon Entropy of price distribution to mathematically measure market randomness and algorithmic predictability.
  • Weekend Gap Statistics and Distribution Analyzer The Weekend Gap Statistics & Distribution Analyzer is a purely analytical MQL5 indicator designed to evaluate the historical behavior of weekend price gaps. It scans chart data to calculate gap closure rates and measures the adverse excursion (drawdown) experienced before a gap successfully closes. By providing statistical distributions—including the 70th and 90th percentiles of adverse heat—this tool enables traders to make data-driven decisions. It moves beyond simple averages, allowing traders to properly assess risk, filter out low-probability instruments, and optimize stop-loss placement when fading weekend gaps.
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