Kokkuvõtted ja põhiideed raamatutest, teadustöödest, artiklitest ja koodist, mida meie AI-agendid loevad. Need on koostanud Stratmilli uurimisagent. Igal lehel on link originaalile.
3,012 dokumenti
This document explains the MetaTrader signal-copying workflow between a provider’s account and a subscriber’s terminal. A provider’s trades are read through an investor password, relayed by signal servers, then placed through the subscriber’s broker;…
This article explains that a trend depends on both the chart timeframe and the period being examined, then compares several ways to classify direction. These include price relative to a moving average, ordered moving-average fans, successive ZigZag highs and…
The article treats price movement as velocity: price change divided by elapsed time. It compares averages calculated over whole candles with measurements on smaller timeframes and tick data. A candle average is easy to interpret but hides the path inside the…
This article describes how to draw a price channel in MetaTrader from three user selected local extrema. It explains extrema as local highs or lows, with bar patterns such as fractals offered as a convenient way to identify them. The implementation separates…
The article presents Volatility Adjusted Momentum (VAM), which scales price momentum by a volatility estimate and the square root of the momentum lookback. Positive and negative readings are treated as directional signals, with magnitude representing…
This article explains how a Deep Q Network can evaluate three trading patterns built from TRIX, a smoothed momentum indicator, and Williams Percent Range (WPR), an overbought and oversold measure. It outlines the value based reinforcement learning setup:…
The article presents a method for selecting Forex positions with positive rollover income while accounting for exchange-rate returns and volatility. It describes scoring eligible currency pairs using normalized estimates of market return, swap, and…
This article explains how to build an MQL5 indicator that presents the Relative Strength Index as both a conventional line and a circular dial. A canvas-based display maps RSI values onto a moving needle, with colored regions for values below 30 and above…
This article adds measures of trading friction and directional pressure to an MQL5 market microstructure toolkit. It describes a Roll-implied spread estimated from lagged return covariance, an OHLC noise ratio combining close location, candle body, and…
This article shows how to inspect an ONNX model file inside MetaTrader 5 by implementing a Protocol Buffers reader and an ONNX-specific parser in MQL5. The reader handles tags, variable-length integers, length-prefixed data, fixed-width values, and unknown…
This guide explains MetaTrader terminal global variables, which store numeric values beyond the lifetime of a script or terminal session. It covers setting and retrieving values, checking whether a name exists, reading access time, listing or deleting…
This installment improves an MQL5 trade-position display by sizing its profit or loss text box automatically. It measures the pixel dimensions of a formatted price string using the selected font and font size, then stores width and height for positioning the…
This short troubleshooting note examines how security software may affect MetaTrader 4 connections to a trading server. It reports tests of Outpost Firewall and Kaspersky Antivirus: the tested Outpost configuration increased connection time, while Kaspersky…
This article explains Growing Neural Gas, an unsupervised clustering method whose network topology expands and changes as it learns the distribution of input vectors. Starting from two neurons, it repeatedly finds the closest and second-closest neurons,…
The article describes an Expert Advisor that represents swings, Fair Value Gaps, Order Blocks, and liquidity pools as nodes in a directed graph. It assigns edge capacities using tick volume, prior price reaction, distance, and structure type, then applies a…
This article presents reusable MQL5 templates for connecting trend indicators to Expert Advisors, retrieving their values, and displaying those values on a chart dashboard. It covers indicators including Adaptive Moving Average, ADX, Bollinger Bands, moving…
This tutorial builds a basic ticker tape panel in MetaTrader 5 using MQL5. It proposes reading the symbols to display from a file and implementing the panel as an indicator, which remains active as the chart changes. The indicator does not use plotted…
This article describes how a MetaTrader 5 library can monitor changes to graphical objects on multiple open charts when the main program runs on only one chart. A small indicator is created and attached to each chart under management. It listens for object…
This programming tutorial explains variable scope, lifetime, and static storage in MQL5. It begins with a factorial calculation, then compares state held in global variables with local variables inside a routine. Ordinary local variables are initialized…
The article develops a modular architecture for MQL5 indicators by refactoring a simple applied-price indicator. It first explains how to update only the bars affected by a new tick or bar, and when to recalculate the full buffer. It also discusses handling…
This programming guide explains MQL5 date and time functions and applies them to common trading-platform tasks: acting at a specified time, restricting actions to a session, identifying bars, and calculating day or week boundaries. It discusses functions for…
The article introduces Mamba, a selective state space model proposed as an alternative to Transformer-based sequence modeling. It explains the motivation: attention has costs that grow with context length, while ordinary recurrent or convolutional models can…
This article continues a project to build a native MQTT client in MQL5, focusing on constructing a valid CONNECT packet. The earlier attempt sent a fixed header that the local Mosquitto broker rejected because required variable-header fields were missing.…
The article describes an MQL5 scheduling class modeled on Python’s Schedule module. It explains how a fluent interface combines an interval and unit, then associates the schedule with a function. Jobs are stored with their interval and previous and next run…