Crypto Trading Automation: Pros and Cons

Crypto Trading Automation: Pros and Cons

“Automation” may make the process look easier, but there are a few factors to consider before employing it. Consider a trading robot. Money can be made, but it may take longer than expected. Is manual trading better? Complex trading strategies might be risky if you lack experience.

Understand the system and what you’re entering into. That involves keeping your goals and techniques simple before adding complexity. No one-size-fits-all solution exists. You must determine your favorite strategy, where you’ll use it, and how much you’ll customize it. All that ties toward your end aims

Let’s Define Automated Trading System

Automated trading systems, sometimes called mechanical trading systems, algorithmic trading, automated trading, or system trading, allow traders to program trade entries and exits to be automatically executed by a computer. According to several platforms, 70% to 80% of U.S. stock exchange shares are traded automatically.

Traders and investors can turn entry, exit, and money management rules into automated trading systems. Since trades are automatically placed when certain criteria are met, strategy automation can remove some emotion from trading.

Trade entrance and exit rules can be simple, such as a moving average crossing, or complex, requiring a thorough understanding of the user’s trading platform’s programming language. A trained programmer can also help. Automated trading systems require software linked to a direct access broker and rules defined in that platform’s proprietary language.

Automated Systems Advantages

Having a machine scan the markets for profitable trading opportunities and carry them out is advantageous in many ways.

• Improving Order Entry Speed

Computers’ instantaneous reactions to market fluctuations allow automated systems to place orders as soon as predetermined trade conditions are met. A trade’s outcome can be dramatically altered by entering or exiting a few seconds earlier. Whenever a trade is made, subsequent orders, such as stop-loss and take-profit ones, are produced mechanically. Having a transaction approach the profit target or blow past a stop-loss level – before the orders can even be entered – is disheartening given how quickly markets may move. One way to avoid this is with a trading robot.

• Diversifying Trading

To trade numerous accounts or different methods simultaneously, automated trading systems are invaluable. As a result, losses could be mitigated among a larger number of instruments. What would take a human an inordinate amount of time to complete can be done by a computer in a matter of milliseconds. The computer can search many markets for trading possibilities, create orders, and track deals.

• Backtesting

To test the efficacy of a trading strategy, one can use past market data and apply the strategy’s rules of thumb. No wiggle space can be allowed in the design of an automated trading system. The computer will not be able to figure out what to do on its own and must be given explicit instructions. Traders can take these detailed guidelines and run simulations on historical data before putting their money on the line in the real market. A trader’s expectation, or how much money they may expect to make or lose for every unit of risk they take, can be determined through thorough backtesting and used to refine and improve a trading plan.

• Preserving Discipline

Even in tumultuous markets, discipline is maintained since trade rules and execution are automated. Emotional considerations like fear of accepting a loss or wanting a bit more profit from a deal might erode discipline. The discipline brought about by strictly adhering to one’s trading plan is a key benefit of using an automated trading system. Reduces “pilot error” An order to acquire 100 shares won’t be submitted as one to sell 1,000.

Planning the trade and trading the plan is a trading challenge. Even if a trading plan has profit potential, ignoring the regulations reduces its effectiveness. There’s no 100%-winning trading plan. Losses are inevitable. Two or three consecutive losses might be psychologically upsetting, so a trader may forgo the following trade. If this next deal wins, the trader has destroyed the system’s hope. Automated trading systems help traders trade consistently.

• Minimizing Emotions

Trading robots remove human emotion from the process. Traders who can keep their emotions in check have an easier job following their strategy. Traders won’t be able to second-guess the trade because orders will be executed automatically after the trade rules have been met. People who tend to overtrade, buying and selling at every perceived opportunity, can be helped by automated trading systems in the same way as traders who are hesitant to “pull the trigger” can.

Automated Systems Drawback

Even though automated trading systems have many benefits, traders should be informed of the drawbacks and realities of using them.

• Avoid the Scams

While you are looking for the method that best suits your needs, keep in mind the following phrase: “If it seems too good to be true, it probably is.” There are many cons operating in the world today. There are methods that guarantee great profits at a low initial investment.

• Server-Based Automation

It is possible for traders to use a server-based trading platform to operate their automated trading systems. So that traders can create their own systems, several of these platforms sell commercial techniques or provide hosting for traders’ current systems. All orders are stored on the server, so the automated trading system only needs to search for them to execute and monitor them. This can lead to more rapid and accurate order processing.

• Monitoring

Unfortunately, automated trading systems can’t just be turned on and left alone all day. This is due to the inherent instability of technological systems and the possibility of breakdowns such as network outages, power outages, and software bugs. Errant orders, missing orders, and duplicate orders are all possible outcomes of anomalies in an automated trading system. Fortunately, if the system is being watched, these problems can be found and fixed promptly.

• Over-Optimization

Although not unique to A.T.S., traders who apply backtesting techniques can develop systems that function admirably in simulations but poorly in the real market. A trading strategy is said to be over-optimized if it requires too much curve-fitting, making it unreliable in real-world trading conditions. By way of illustration, it is possible to fine-tune a technique so that it performs very well on the historical data it was tested with. Traders sometimes make the mistake of thinking a trading plan is only good if it consistently produces gains and never suffers a loss or a drop. Parameters can be tweaked to provide a “near-ideal” strategy that ultimately fails miserably in the real world.

• Mechanical Failures

The idea behind automated trading is that all you have to do is install some software, establish some rules, and sit back and watch it make trades for you. Although automated trading is a highly advanced trading approach, it is not foolproof. A trade order may or may not be stored on a server but instead on a computer, depending on the trading platform. That implies an order might not go through to the market if there is a temporary disruption in the internet connection. A disconnect may also exist between the strategy’s “theoretical trades” and the order entry platform component that actualizes them. When first experimenting with automated trading systems, most traders should expect a learning curve and proceed with caution.

Conclusion

Despite its allure, computerized trading systems are no match for human discretion when it comes to making financial transactions. Since technological malfunctions are possible, it is necessary to keep an eye on these systems. If traders want to reduce their exposure to mechanical breakdowns, server-based platforms could be the answer. Before using automated trading systems, you should have some background in trading.

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