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QuantMonitor: a new framework for live strategy monitoring, portfolio overlay, and market regime analysis

I have recently added a new set of tools to QuantMonitor focused on real-world live trading monitoring. The goal was not to create just another visual MT5 panel, but to build a practical working framework that connects backtest data, live results, portfolio-level visualization, and current market regimes into one coherent system.

The idea is simple: a trader should always know how the strategy behaved in the backtest, how it behaves now in live trading, how backtest and live performance connect inside one continuous database, what type of market the strategy is currently trading in, and whether current conditions are favorable or unfavorable for that strategy.

This makes QuantMonitor much more than a performance panel. It becomes a framework for understanding why a strategy is making money or losing money, which is one of the most important parts of serious live trading.

What the new QuantMonitor package includes

The new release is built around three main components:

  1. QuantMonitor MT5 Monitoring

The main monitoring EA loads data from Strategy Tester HTML exports, merges them with live MT5 history, and automatically creates its own database for each strategy instance. This produces a single continuous backtest + live timeline that can then be used for statistics, equity tracking, portfolio visualization, and ongoing real-time analysis.

  1. QuantMonitor Portfolio Overlay

The portfolio overlay displays multiple strategies in one chart and gives a fast overview of which systems are driving portfolio growth, how they interact with one another, and whether diversification is actually working in practice.

  1. QuantMonitor Multi Market Regime Dashboard

The market regime dashboard compares the current market state with the historically ideal environment for each strategy. This makes it possible to quickly see whether a strategy is currently trading in a favorable, neutral, or unfavorable regime.

Why this approach matters

Most traders already have a lot of data. What they usually do not have is a strong framework for reading that data correctly. A backtest alone is not enough. A live result without context is not enough either. And an equity curve by itself does not explain whether the strategy is currently operating inside the type of market it was built for.

That is exactly why this framework was created. It is built on the idea that a trader should always understand how the strategy works, what kind of market it performs best in, how current live behavior compares to its historical profile, and why it is currently performing well or poorly.

In other words, this is not about blindly running EAs. It is about managing trading systems with awareness.

What makes the system practical

One of the biggest advantages is that the user does not need to manually build databases. Once the EA is launched, it loads backtest data from HTML exports, pulls live history directly from MT5, and creates the database automatically. This makes the workflow simple while still providing a very strong analytical backbone.

The only layer that remains intentionally individual is the market regime CSV profile. That is by design. The technical infrastructure can be shared, while the specific regime intelligence that defines when a strategy works best can remain personal and customizable.

What is included below this post

Below this article you will find:

  • a detailed user guide
  • compiled EA files ready for use
  • the full QuantMonitor tool package for practical live monitoring

This means you can immediately test the workflow inside MT5, connect your own backtests and live trades, and start building your own monitoring environment around your systems.

What is available in the Premium section

In the Premium section, members will also get access to:

  • a 46-page premium book on live trading
  • the source codes of the tools
  • the ability to modify the framework for their own needs

The premium book explains the logic behind the whole system: why a trader should understand not only entries and exits, but also system behavior, market regimes, robustness, monitoring, and real-world performance management.

That is the deeper philosophy behind this release. A trader should not run an EA as a black box. A trader should know how the EA works, how it reacts to different markets, and why it makes or loses money.

This new QuantMonitor release is designed to support exactly that kind of trading.

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Please note that the all strategies,materials, templates or workflows and tools or for any interpretation by you of said informationare provided for illustrative and educational purposes only. It serves solely to illustrate strategies, materials, templates or workflows and tools or for any interpretation by you of said information. Listed strategies, materials, templates or workflows and tools or for any interpretation by you of said information and their individual parameters therefore in no way represent any professional and/or financial advice or any other recommendations on how to act or what strategy to choose. All strategies, workflows and other materials are of a general nature and do not address the circumstances of any particular individual or entity. You alone assume the sole responsibility of testing and evaluating the merits, suitability and risks associated with any given strategy or the deployment of any algorithm. The strategies may not be suitable for you at all and may not reflect your current financial or other circumstances and investment objectives. ALLFYZ21 GROUP s.r.o. and any of its representatives or employees bears no responsibility for damage or other damages in any way arising from the use of the strategies, materials, templates or workflows and tools or for any interpretation by you of said information; such a responsibility is expressly excluded.

Risk Disclosure:
Futures and forex trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.

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Hypothetical performance results have many inherent limitations, some of which are described below. no representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.

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