5 Crypto Bot Trading Strategies

FxBrokerReviews.org – This article outlines the fundamental concepts underlying several trading bot methods that may be effective regardless of the state of the market. That would be a great perspective on the subject if you had ever been interested in techniques to make trading bots profitable.

What Are Trading Bots?

An algorithm called a trading bot converts market conditions into tradeable decisions like buy, sell, or hold. Bots trade on your behalf around the clock using pre-built logic sets. Due to minimal downtime, they can process far more trades than any chosen trader. Additionally, bots are not impacted by emotional trading, which saves individuals who make a tonne of money.

A Brief Background Of Trading Bots

Trading is a complex idea that people have used, tested, and refined over many years. We initially exchanged anything to help us survive, but financial markets entered the picture and irrevocably altered trading.

After the initial trading bots were released in 1949, they underwent over 70 years of innovation. The rule-based changeover required many years to implement because the original proposal just called for a simple set of rules for buying and selling assets.

Ten years later, the golden 90s brought a model automated trading system concept, but its application was initially constrained because only financial managers utilised it to handle client portfolios. However, things have altered since the 2008 financial crisis, making the idea more widely known. Smart traders worldwide turned to algorithmic trading that year, which was a game-changer. As a result, software development, analytical methods, trading strategies, and other aspects of automated trading have advanced significantly.

Best Crypto Trading Bot Strategies

Trading bots are unmatched in speed and execution, but they are incapable of independent thought. Instead, bots contrast the state of the market with a series of predefined conditions. Trading strategies describe the particular way that bots differ. Every technique has advantages and disadvantages, so it’s essential to understand each before trading fully.

The following categories typically apply to bot trading strategies: 

Analysis Type StrategiesTrading with indicators

Trading without indicators

Entry-based StrategiesBreakout trading
 Rebound trading
Market Analysis StrategiesTechnical trading
 Fundamental trading
 Mixed trading
Parameter-based StrategiesManual trading
 Automated trading
Time-based StrategiesScalping
 Swing trading
 Intraday trading
 Position trading
Trading Type StrategiesTrend trading
 Anti-trend trading
 Flat trading


Although it might seem complicated, it’s not as difficult as it looks. Let’s summarise how you can select the trading techniques that are the most successful.

How To Select The Right Trading Bot Strategy 

You might want to learn more about the tactic first. Choose a few tactics from the chart above, then begin educating yourself. The primary concepts are interconnected and repeat each other in core notions, so if you master those, the rest will come much more naturally. You’re good to go if you’re familiar with at least some of the topics mentioned.


Whatever the approach, the fundamental objective is to increase your cash flow. To test any method, learn more about it, and determine whether it fits your trading style, follow these three fundamental stages.

Examining Market Situations 

Markets are significantly impacted by the global economy, which also determines pricing, total liquidity, and even crucial levels. While most methods concentrate on bull or muted trading, some are designed for the bear market. Even the most effective flat tactics could result in significant losses in a bad call. For this reason, you should first do a market analysis to comprehend how it functions at the moment and what to anticipate shortly. Otherwise, you can, at best, have an ineffective trading technique.

You could take the following actions in response to the table above:

Choose trend trading if you think the current trend will continue.

Use anti-trend methods to believe the trend is a trap or just partially temporary.

When there are no visible movements in a market, leverage flat trading.

If the market flattens out along a specific price corridor, you can step up and focus on a flat-based strategy, such as scalping or one that uses technical indicators. The latter look for patterns in earlier times, presumption that the patterns discovered will recur later. Price action and level trading may also be effective in these markets.

Tests On Demo Accounts 

To prevent losses, you should backtest any plan. Backtesting is evaluating a bot strategy while considering several sorts of data, such as analysis and historical data. You can determine the possible performance your method may exhibit by backtesting. Statistics like averages, risk, volatility, and net gains & losses may require careful attention. A demo account is an ideal tool for backtesting. You could use backtest data directly without a free option from your automated software provider or purchase the cheapest membership with demo access.

The Control Gestural 

It’s time to test your plan when you’ve sorted it out and backtested it. Start small and evaluate each trade separately. The win/loss ratio should be your primary metric.

You should divide your trades into groups of 10–20 deals each and evaluate results appropriately if everything goes well and you don’t carry more losses than wins. It’s a good omen if a group brought you some money. If not, you can change your approach or evaluate a few different groups. This phase is essential since, irrespective of your automated software’s plan, it will work on a large scale.

Top Crypto Trading Bot Strategies

Some cryptocurrency trading bot tactics are more adaptable and trustworthy than others, which makes them considerably more well-liked by investors. Let’s dissect some fundamental money-making strategies.

1. Average Reversion

Mean reversion tactics predict that prices will typically return to an average level over more extended periods. The performance is highly dependent on the anticipated degree of price reversal.

The impact of favourable or unfavourable feedback determines the process of returning to the average level (in any time frame). As a result, determining if reversion exists in a financial instrument is the most crucial stage.

If existent, as the price gets closer to the upper/lower limit, the possibility for a reversal and, consequently, profits increases. An average value can be calculated using the time- and volume-weighted average pricing. Both market-making and correlation trading methods can employ the same indicators. When there is no discernible trend in the market, and it is consolidating, mean-reversion tactics show the best performance.

2. Momentum Trading

You can purchase or sell an asset based on the current trend using momentum trading tactics. The basic premise is that a trend move will continue in the same direction if there is enough momentum.

More buyers typically enter the market as an asset’s price rises, driving it even higher. But ultimately, something happens, and there is pressure to sell because of the high prices. An obvious illustration is news trading based on unfavourable or unexpected occurrences. When purchasing demand outweighs sale stress, the trend changes and pulls the cost to its lowest point.

Momentum techniques examine the trend’s volume, volatility, and time frame to determine how powerful it may be in a particular direction. Then a trade is opened by a trader or an algorithm to ride the momentum of the transaction until it is lost. Some traders strive to capitalise on trends and identify peak and bottom prices. Nevertheless, ill luck often follows emotions. That’s why disciplined bots implement the majority of momentum trading methods.

3. Arbitrage

The price differential is the focus of all arbitrage methods; purchase cheaper, sell higher, and repeat as necessary. Most arbitrage tactics include bots because they complete regular tasks much more quickly.

These tactics have been employed in financial markets for some time, but the cryptocurrency market is slightly different because of its greater volatility. Most crypto assets are more volatile than others, implying more significant potential returns and hazards. Price slippage is one of the biggest concerns in this situation, particularly for manual arbitrageurs. Yet why?

Since price variations are frequently tiny, traders must move massive amounts quickly. An investor may have no returns due to a slight price slippage because they must consider various factors, arbitrageurs that significant trade volumes frequently experience severe losses. Humans are prone to unintentional failure, unlike machines.

Crypto arbitrage continues to draw many traders despite all the hazards involved. The most significant obstacle to arbitrage is a high entrance cost, which hurts retail traders the most.

4. Machine Learning 

Most machine learning models outperform statistical and economic models in terms of performance. In particular, the capacity of the Gaussian Nave Bayes (GNB) algorithm to forecast price movement in cryptocurrency quotes has not received much attention until lately. But times have changed, and this approach is now extensively employed. To predict changes in the price of cryptocurrencies, the GBN method uses probabilistic machine learning and various scaling and feature extraction approaches.

This method divides data into increasing and decreasing prices, to put it simply. Consider a situation where a price decline in an asset has continued for two days in a row. Machine learning techniques can access the probabilities and point you in the right way to increase your chances of making a profit during such occasions.

This approach is inexpensive because it performs well on tiny datasets and doesn’t require a lot of computer power. It doesn’t apply to on-scale traders eager to learn about big data.

5. Natural Language Processing (NLP)

Although crowd psychology and news are closely related and impact financial markets, assessing something with data is more accessible. This problem is partially resolved by natural language processing (NLP) trading since NLP programming enables bots to respond to the news with specific keywords.

Imagine trading bots that can scan news digests, Medium pieces, social media, and more for precise keywords to determine whether it’s a perfect moment to trade an asset. You can take the approach further and incorporate trend-following trading, or you can play shrewd against the market.

Best Forex Trading Bot Strategies

Since Forex is a market for currency pairs, it operates under the same rules as all other financial markets. Fortunately for traders, stock and cryptocurrency bots can effectively trade Forex too. What about the tactics, though? They are also very similar to one another. Let’s summarise some of the essential Forex bot strategies.

Average Cost 

The average price approach often referred to as the mean reversion method, uses the idea that historically, returns on investments and asset prices tend to average out over time.

In essence, traders receive yields during upswings and then save during downturns because trading bots profit from price variations regardless of the market. This tactic is adaptable and well-liked because it may be used to buy and sell assets. There is always a chance that the purchase could deviate from the pattern, even though the price returns most of the time. Unpredictable black swan events are another concern. The 2008 housing bubble is a prime example.


Because it includes observing market movements, this trading strategy may be the simplest. A bot does the same tasks as the majority of people. A trading bot opens a long position when the price increases, expecting the asset’s value to increase.

The algorithm shorts an asset whenever the market sees a downturn because it anticipates a price decline. In other words, a bot sells an asset (causing the price to drop) to buy it later for less. The discrepancy is turned into money. The effectiveness of this tactic is demonstrated by the fact that bots can examine the market and anticipate whether a trend will continue or reverse using vast amounts of past data.


The technical trading strategy that takes advantage of price inconsistencies is called arbitrage. In other words, you purchase an asset at a specific price on one market and sell it as soon as possible for a better price on another call. Your profit will be the difference you create. Traders employ bots to work on scale and do it as quickly as possible, even though price movements are typically relatively tiny. As a result, some algorithmic traders who use arbitrage tactics generate huge returns.

Simply put, algorithms are used by arbitrage trading programmes (ATP) to find price disparities between markets. ATPs compete with one another, providing no room for manual retail arbitrage.

Closing Remarks 

The forex and cryptocurrency markets may be great places to experiment with various trading approaches. In difficult times of uncertainty, though, when quick movements replace protracted flats only to be followed by another inevitable dip, some methods are more effective than others.

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