How to use algorithms to save time and make money when trading (currency, crypto, shares etc)

Published On : 12/03/2020

By Gabriele Musella, Coinrule

When you are trading, whether your focus is on cryptocurrencies or stocks, it is all about buying and selling at the right time so that you increase your overall funds and make a profit.

With over 14 millionday traders[i] around the world and many more trading on a part-time basis, there are lots of people looking to the markets to make some money.

However, to make money when trading, you have to invest time; a lot of time.

It’s about spotting patterns and identifying the opportunities, whether you are trading shares or crypto currencies. It is this time requirement that has been a key driver in the development of algorithms to help when trading.

Day trading is when someone who buys and subsequently sells financial instruments like stocks, cryptocurrencies or futures within the same trading day. This, along with other forms of regular trading, used to be the sole domain of the professionals in the City and on Wall Street. But that is no longer the case.

Today, millennials make up 58% of online traders and over 75% of cryptocurrency traders[ii] – whether that is Bitcoin, Ethereum, Polkadot or any of the other, nearly, 7000 cryptocurrencies[iii] that currently exist.

Low barriers to entry and the ability to trade online make it appealing.  But, will people be able to make this profitable?

Profit or Loss?

It’s estimated that 95% of day traders[iv] lose money.

There are lots of reasons why; with under-preparation[v] being most often cited as the main reason. People start too quickly and don’t have a strategy they stick to.

So, where do trading algorithms fit into this?

Trading With Algorithms

Put very simply, a trading algorithm or strategy is a set of rules that, together, define when trades should take place. The algorithm helps a cryptocurrency trader to either buy, or sell, at the right time. This enables them either to minimise losses and take profits.

The algorithm can be tested on historical data, on different and past market conditions, giving you scenarios that it will help deliver good returns when used on the current markets.

These rules can then be executed by trading bots to make the trades at the right time.

Why Use a Trading Algorithm?

There are three main reasons for using a trading algorithm:

1. Time

The time needed to analyse the available market data and spot the right moment to trade is considerable. Most traders simply don’t have this time available, so a trading algorithm can help.

2. Too much data

There is simply too much data available that needs to be analysed to make profitable trades. For example, with over 7,000 cryptocurrencies on the market, it is impossible to know everything about all of them without automated assistance.

3. It’s a steep learning curve

What I see is that most hobby investors have about one or two hours a week available to them to learn ‘how’ to trade, ‘what’ to trade and ‘when’ to trade. This simply isn’t enough. Trading algorithms are constantly learning because of their ability to consume and analyse large amounts of market data.

What Are The Alternatives?

1. Scripts

One alternative to using a trading algorithm would be to program a script. Trading scripts enable automatic trading, but they can only follow one strategy, are difficult to code and struggle to react to market changes quickly.

2. Copying the professionals

Copy trading is where professional traders allow people to copy the trades they do. They get paid to allow public access to their trading activities. If the right traders are chosen, this can be a highly successful alternative, but the fees can be very high, up to 30% of the profit.

3. Do it yourself

If you have the time – a lot – and the analytical skills, you may not need a trading algorithm and you can go back to trading manually.

How to Use a Trading Algorithm

Choose a supplier

There are plenty of suppliers of algorithm software. Most are for large firms, however companies like Coinrule aim to help hobby investors, occasional investors and professional traders, to have easy access to trading algorithms. Coinrule’s customers are trading anything from $150 a month upwards, to $millions per month.

You can sign up for free or choose which of the three pricing plans work best for you, based on your trading budget, template strategies and required execution speed.

Choose Your Strategy

Choosing the perfect trading strategy takes research and time. Bitcoin traders often use a long-term strategy, with trading on other cryptocurrencies being done using shorter-term strategies. However, you need to choose your own. To help you choose check out these videos:[vi] https://www.youtube.com/playlist?list=PLA9Pvtmlbvb5cp0Ou0ePADDGzAF-vtCS1

Pick Your Cryptocurrencies

Bitcoin is obviously the most well-known, but there are nearly 7000 others. Keeping track of all of them will be impossible, so choices need to be made, at least initially. You can, of course, move between them in the future.

Define Your Risk Levels

One of the most important aspects of implementing an automated trading strategy is to prevent significant losses that will potentially compromise a trader’s capital over the long-term. Before making money, it’s important to learn how to protect your crypto portfolio.

Protecting funds is one of the most important aspects of the algorithm. So set your risk levels accordingly and ensure the algorithm is set up to protect you from losses.

Allocate A Trading Budget

When first starting to invest in cryptocurrencies, it is vitally important to set a budget that can be lost without real impact on your personal finances. This initial budget should then be broken down into a daily trading budget, i.e. how much will be invested on a daily basis. The 1% Risk Rule is an often-quoted rule[vii]. If the portfolio is, for example, £100,000, no more than £1,000 is traded on any single trade. This protects your capital from big losses.

Right now cryptocurrencies are very much in-vogue. The low barriers to trading and the fact that it is all online can draw people in very quickly, believing they will make a lot of money. As discussed above this is a major reason for most day traders losing money. By following the guidelines outlined, investing some time in learning as much as you can, and then making use of a trading algorithm, portfolios can be protected and, ultimately, grown.

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[i] https://brokernotes.co/wp-content/uploads/2017/08/BN-research-report_2018-FINAL.pdf

[ii] https://brokernotes.co/wp-content/uploads/2017/08/BN-research-report_2018-FINAL.pdf

[iii] https://e-cryptonews.com/how-many-cryptocurrencies-are-there-in-2020/#:~:text=According%20to%20CoinMarketCap%2C%20the%20total,4%2C928%20cryptos%20in%20the%20market.

[iv] https://cointelegraph.com/news/day-trading-bitcoin-why-95-of-traders-lose-money-and-fail

[v] https://www.warriortrading.com/why-day-traders-lose-money/

[vi] https://www.youtube.com/playlist?list=PLA9Pvtmlbvb5cp0Ou0ePADDGzAF-vtCS1

[vii] https://www.thebalance.com/day-traders-stick-to-the-1percent-risk-rule-1030858

Wanda Rich

Wanda Rich has been the Editor-in-Chief of Global Banking & Finance Review since 2011, playing a pivotal role in shaping the publication’s content and direction. Under her leadership, the magazine has expanded its global reach and established itself as a trusted source of information and analysis across various financial sectors. She is known for conducting exclusive interviews with industry leaders and oversees the Global Banking & Finance Awards, which recognize innovation and leadership in finance. In addition to Global Banking & Finance Review, Wanda also serves as editor for numerous other platforms, including Asset Digest, Biz Dispatch, Blockchain Tribune, Business Express, Brands Journal, Companies Digest, Economy Standard, Entrepreneur Tribune, Finance Digest, Fintech Herald, Global Islamic Finance Magazine, International Releases, Online World News, Luxury Adviser, Palmbay Herald, Startup Observer, Technology Dispatch, Trading Herald, and Wealth Tribune.