Business
A Guide to MetaTrader 5 Automated trading
A Guide to MetaTrader 5 Automated trading
MetaTrader 5 was introduced as an improved and advanced version of the classic MT4 platform. MT4’s functionality was confined to forex trading only. Whereas, it’s successor Metatrader 5 was built to navigate through a number of markets including forex, commodity, stocks, indices and crypto. They both are still very similar to each other but MetaTrader 5 surely has an edge when it comes to the technical aspects. This superiority of Metatrader 5 makes it a perfect platform to run a fully automated trading strategy with ease.
What Makes MetaTrader 5 a Better Choice for Algo Trading?
In order to use the MT5 trading platform, one would need to create an account with a forex broker that offers the metatrader 5 platform. There is no doubt in the fact that MT4 is still the most preferred trading platform on a global level. The simple yet powerful interface of MT4 is still the best place for beginners to learn and practice using the essential tools for trading. But when it comes to automated trading, you are bound to notice the differences which would justify opting for MT5 instead of MT4.
Most of the newbies who step into the forex world must have taken their first trading lessons from a demo account on the popular MT4 platform. Almost every broker offers MT4 as their trading terminal. But lately brokers have added the advanced MT5 terminal to their platform to keep up with the technological advancement. So, one important aspect which you need to look into is finding a broker who provides the MT5 platform and supports algo trading as well. Now let’s look at the differences which make MT5 a suitable choice for automated trading.
While using MT4, you will see that the only option to automate the trading process is by running an Expert Advisor (EA). It can be rightfully referred to as a forex trading robot which takes up trades on your behalf. It is a computer program or algorithm that is specifically designed to enter and exit trades without manual intervention. These are just scripts that facilitate automated trading. Whereas, on the MT5 platform in addition to expert advisors, automated trading can be done through strategies too. It is different from just using a bot that executes commands. A strategy is built by establishing a set of rules that needs to be followed while trading. And MT5 will carry out automated trading based on the very same rules as per your strategy.
Also, MT5 as a trading platform has more advanced and improved charting options and it is more capable of supporting automated trading than the classic version. Another thing to mention here is that an algo strategy would be executed based on an order system on MT4. On the other hand, MT5’s algo trading function is based on a positional system, allowing traders to keep a trade position open for a longer duration in comparison to MT4. Taking all these points into consideration, it is quite evident that MetaTrader 5 happens to have an upperhand when it comes to executing an automated strategy with utmost perfection.
Basics of Algo Trading on MetaTrader 5
Getting started with algo trading on MT5 is pretty easy for anyone once you understand the basics of it. You don’t need to be a pro at programming in order to avail the benefits of automated trading on the MT5 platform. You can easily purchase or rent the trading programs of your choice or can even go for free download options that are available. You also have the option to test these programs before applying them in real-time market conditions.
Another interesting feature is that those who are unable to find a program that fits their criteria can even order a custom program from the professional programmers offering their services to MetaTrader 5 users from the freelance section of MQL5 community website. This will be fast, convenient and affordable at the same time.
In addition to Expert Advisor robots, one can also use scripts, services and custom indicators on the advanced MT5 environment. Combining all these functions together will surely optimize a fully automated trading experience without needing any human intervention.
Steps for Enabling Algo Trading on MT5 Trading Platform
- Click File → Open Data Folder and then click on the MQL5 folder to look for Expert Advisors. If you are opting for a custom program or scripts you will need to store them in this folder to use them.
- For launching an expert advisor/indicator you just need to double-click on it, or you can simply drag it to a chart. Then you can see the properties window of the selected robot. You can start using it by clicking ok. If you see a green icon appearing in the upper right corner of the chart, that means the robot or advisor is successfully launched.
- But if the icon is red, that would mean that the Expert Advisor is switched off. You need to go to the EA’s settings and the options of a trading platform & enable algo trading for starting the program.
Benefits of Automated Trading on MetaTrader 5
- Eliminates Time Constraints: One of the best things about algo trading is that you can eliminate the time constraints and save a lot of time by relying on an automated strategy. An expert advisor or forex robot can function 24 hours and catch good trading opportunities on your behalf even when you are sleeping. It will also enter trades based on the market conditions which will save you from the trouble of watching and analyzing charts all day.
- Effortless Trading Experience: Even a newbie can avail the benefits of automated trading without any prior experience or knowledge. Automated trading does not have a prolonged learning curve like manual trading. All you need is the right EA and you will be able to make profits from favorable price changes that happen in the trading instruments.
- A perfect solution to emotional trading: Manual trading does have some risk of engaging in emotional or impulsive trading. As humans we may not be able to suppress the feelings of fear, greed, frustration and stress. These emotions can often result in revenge trading which is very dangerous for a trader. Traders who have a hard time controlling their emotions during a trade can leave the trading process to an EA to eliminate the risk of deviating from their original trading plan. A robot is simply not bound by emotions or feelings. Hence, the psychological barrier can be easily removed by opting for algo trading.
In conclusion, we can say that MetaTrader 5 is becoming the new favorite trading platform for traders. Automated trading is one of the most highlighted features of MetaTrader platform and MT5 aims to provide a better algo trading experience to its users with its advanced functions. MetaTrader 5 has managed to retain the user friendliness of MT4 even with the added functions and advancements, which makes it even more accessible for both novice and experienced traders.
Business
Royal York Property Management And Nathan Levinson On Building Stable Rental Portfolios In A Volatile Market
Across North America, Europe, and much of the world, rental housing is caught between two pressures. On one side are tenants facing record affordability challenges. On the other side are landlords seeing operating costs, interest payments, and regulatory complexity move in the opposite direction.
Recent analysis from Canada’s national housing agency shows how tight conditions still are. The average vacancy rate for purpose-built rentals in major Canadian centres rose to about 2.2 percent in 2024, up from 1.5 percent a year earlier, but still below the 10-year average despite the strongest growth in rental supply in more than three decades.
At the same time, higher interest rates have pushed up the cost of acquiring and financing rental buildings, which has slowed transactions and made many projects harder to pencil out.
In this environment, the question for landlords and investors is less about chasing maximum rent and more about building stability. That is where Royal York Property Management and its founder, president, and CEO Nathan Levinson have drawn attention.
From a base in Toronto, Royal York Property Management manages more than 25,000 rental properties, representing over 10 billion dollars in real estate value, and operates across Canada, the United States, and parts of Europe. Levinson also sits on a Bank of Canada policy panel focused on the rental market, where he provides data and on-the-ground insights about rent trends and landlord stress.
For many smaller property owners, his model has become a reference point for how to treat rental housing as a structured financial asset rather than a side project.
Rental housing under pressure from both sides of the balance sheet
In many countries, the basic rental story is the same. Construction of new rental housing has climbed, yet demand still runs ahead of supply in most major cities. In Canada, overall rental supply grew by more than 4 percent in 2024, the strongest increase in over thirty years, while vacancy rose only modestly.
At the same time, borrowing costs have moved sharply higher compared with the pre-pandemic period. Research shows that elevated interest rates have reduced the profitability of new multifamily deals and slowed investment activity, even as structural demand for rental housing stays strong.
For small and mid-sized landlords, that tension shows up in a simple way. Mortgage payments, taxes, insurance, and maintenance rarely move down. Rents move up more slowly, and in many jurisdictions they are constrained by regulation or market realities.
Levinson’s view is that this gap will not close on its own. Landlords who want to stay in the market need more predictable income, tighter control of costs, and clearer systems for dealing with risk.
A property management model built for volatility
Royal York Property Management did not start as an institutional platform. Levinson’s early clients were owners of single condominiums, duplexes, or small buildings who were struggling with irregular rent payments, surprise repairs, and complex rental rules.
Instead of handling each property ad hoc, he built a standardized operating model that treats every door as part of a wider portfolio. Each unit sits on a centralized platform that records rent, arrears, lease expiries, maintenance tickets, and legal actions. Owners see real-time statements and performance metrics rather than waiting for year-end reports.
That structure, combined with an internal maintenance and legal team, is designed to handle stress rather than avoid it. When markets are calm, the system may look conservative. When conditions worsen, it is what keeps owners in the black.
“Execution is everything” is how Levinson often frames it in interviews.
Turning rent into a more predictable income stream
The feature that first drew many investors to Royal York Property Management is its rental guarantee program in Ontario. Under this model, landlords receive their rent even if a tenant stops paying. RYPM takes responsibility for legal proceedings, arrears recovery, and re-leasing the unit, while the owner continues to receive income.
Independent profiles of the company describe this as one of the first large-scale rental guarantee frameworks in the Canadian market, and note that the firm manages tens of thousands of units under this structure.
The guarantee itself is closely tied to local law and does not transfer directly into every jurisdiction. The underlying logic, however, is straightforward:
- Treat unpaid rent as a recurring and manageable risk rather than an occasional shock.
- Price that risk into a clear product instead of handling each case informally.
- Use scale, legal expertise, and data to keep default rates low and resolution times shorter.
For landlords who are facing mortgage renewals at higher interest rates, having a more stable rent stream can be the difference between holding a property and being forced to sell. That is one reason rental guarantee models have started to attract interest from investors outside Canada who are watching RYPM’s approach.
Using technology to see risk earlier
Behind the guarantee and the day-to-day operations is a technology stack that tries to surface problems before they become crises. Royal York Property Management’s internal platform uses data from payments, maintenance, and tenant behavior to flag risk signals and operational bottlenecks.
Examples include:
- Tenants who move from on-time payments to repeated short delays.
- Units where small repair tickets point to a larger capital issue ahead.
- Buildings where complaint volumes suggest service gaps or staffing problems.
Rather than treating these as isolated events, the system aggregates patterns across thousands of units. That allows management to decide whether a problem is individual, building-specific, or systemic.
Levinson has also pushed this data outward. As a member of the Bank of Canada’s rental policy panel, he provides anonymized information on rent collection, defaults, and renewal behavior, which feeds into broader discussions about financial stability and housing policy.
The same data that protects a landlord’s cash flow in one building helps central bankers understand how higher rates are affecting thousands of households.
Why the Canadian case matters for global landlords
Several recent reports underline how closely rental markets are now tied to national economic performance. Tight rental supply and high rents are feeding inflation in many economies. At the same time, higher borrowing costs are discouraging new construction, which risks prolonging shortages.
This feedback loop is especially hard on small landlords. Many own only one or two properties and have limited room to absorb higher mortgage payments or extended vacancies. Analysts in Canada and abroad have warned that some owners are at risk of default as their loans reset at higher rates.
In that context, the Royal York Property Management model offers three lessons that travel across borders:
- Standardization protects both sides. Clear processes for screening, rent collection, maintenance, and legal steps reduce surprises for owners and tenants at the same time.
- Risk pooling is more efficient than one-off crises. Handling arrears, legal disputes, and vacancies inside a structured system is less costly than improvising each time.
- Operational data belongs in policy conversations. When policymakers have access to real rental data rather than only mortgage statistics, interventions can be better targeted.
It is not an accident that Levinson’s work now sits at the intersection of private property management and public financial policy.
What everyday landlords can borrow from the Royal York playbook
Most landlords will not build a 25,000-unit management platform. Many will never interact with a central bank. The core ideas behind Nathan Levinson’s approach are still accessible to smaller owners that manage a handful of properties.
Three practices stand out.
First, treat every rental unit as part of a simple portfolio. That means using a consistent template to track rent, arrears, expenses, and vacancy days for each property, then reviewing it on a schedule instead of only when something goes wrong.
Second, write down the rules for risk in advance. Late-payment steps, repayment plans, documentation standards, and maintenance response times should exist on paper, not only in memory. Royal York’s experience suggests that clear rules reduce conflict, because everyone knows what will happen next.
Third, invest in service as a protective layer. Multiple independent profiles of RYPM point out that faster response times and transparent communication reduce tenant turnover and protect building condition, which in turn supports long-term returns.
For landlords and investors trying to navigate today’s volatile rental markets, the message from Royal York Property Management and Nathan Levinson is surprisingly simple. You cannot control interest rates or national housing policy. You can control how organized your portfolio is, how clearly you manage risk, and how consistent your operations feel to the people who live in your buildings.
For many, that shift from improvisation to structure is what will decide whether their rental properties remain a source of wealth or turn into a source of stress.
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