Crypto Market Analysis: Using Bots to Stay Ahead of Market Trends

wunderbit icon logo no margin 200.png
WunderTrading

MAKE YOUR CRYPTO WORK

article - 2024-02-29T144817.895-min.jpg

Over 65% of all retail traders used automated trading system in 2021 yet they still represent a small fraction of the market with the lion share of bots ran by institutional and long-term investors, according to Acumen Research and Consulting. The number of people using various types of automated trading systems is growing every year with some experts predicting that the value of the industry may quadruple by 2030.

The rapid growth of automation can be attributed to the overall digitization of the financial world. Finding a tradfi or a centralized crypto exchange that does not offer any ways for third party developers to connect seamlessly to the platform is close to impossible. Modern automated trading bots work surprisingly well and deliver consistent results with many preset systems easily outperforming average traders.

Many believe that the best systems are custom-made. Using unique analytical approaches can be quite effective in a market where thousands of retail traders utilize the same techniques. However, the crypto market analysis learning curve is quite steep and requires a lot of effort and time on the part of a student. Achieving real success requires depth in analysis, as surface-level approaches often miss critical insights that can impact trading outcomes. It is also essential to spend time evaluating different strategies and coins before relying on them, as not all methods are equally effective. Additionally, distinguishing genuine trends from market hype is a key challenge, since excitement and buzz can often distort the true value and direction of a cryptocurrency.

Introduction to Crypto Market

The crypto market is a fast-paced and ever-changing environment, where prices and market trends can shift in a matter of minutes. For any seasoned investor or newcomer to the crypto space, keeping up with the latest market data is essential to making smart investment decisions. With high trading volume and a diverse range of crypto assets being exchanged daily, the market offers both significant opportunities and risks.

One of the defining features of the crypto market is its volatility. Unlike traditional markets, cryptocurrency prices can experience dramatic swings, driven by factors such as market sentiment, news, and on-chain metrics. Understanding these elements is crucial for anyone looking to navigate the crypto space effectively. Market sentiment, in particular, plays a major role in influencing price movements and can often be the difference between a successful investment and a missed opportunity.

To stay ahead, investors need to monitor a variety of indicators, including trading volume, market cap, and real-time data from exchanges. Analyzing these metrics helps identify emerging trends and provides valuable insights into the current state of the market. By leveraging up-to-date market data and understanding the factors that drive price changes, investors can make more informed decisions and better manage their risk in this dynamic environment.

Whether you’re tracking the latest news, researching new coins, or analyzing historical data, staying informed is key. The use of automated tools and bots can further enhance your ability to monitor the market, react to changes, and capitalize on new opportunities as they arise.

Understanding Market Sentiment

Market sentiment is the collective mood and outlook of investors towards a specific cryptocurrency or the crypto market as a whole. It’s a powerful force that can drive market trends, influence trading volume, and impact cryptocurrency prices. Understanding market sentiment allows investors to anticipate potential price movements and adjust their strategies accordingly.

There are several effective ways to gauge market sentiment. Social media platforms like Twitter and Reddit are hotspots for real-time discussions, where users share opinions, news, and reactions to market events. Monitoring these conversations can provide early signals of shifting sentiment or emerging trends. News articles and blog posts also play a significant role, as they can shape public perception and trigger changes in investor confidence.

On-chain metrics offer another layer of insight by tracking blockchain activity, such as transaction volume, wallet addresses, and network usage. These indicators help investors determine the level of interest and engagement with a particular crypto asset, revealing patterns that might not be visible through price charts alone.

To make the most of sentiment analysis, investors often use specialized tools and market data analytics platforms. These resources aggregate data from multiple sources, allowing users to compare charts, spot patterns, and identify potential entry or exit points. By combining insights from social media, news, and on-chain data, investors can develop a more comprehensive view of the market and make decisions with greater confidence.

Ultimately, understanding market sentiment is about staying aware of the factors that influence investor behavior. By regularly analyzing sentiment indicators and integrating them into your investment strategy, you can better navigate the volatility of the crypto market and position yourself for success.

How to use bots for crypto market analysis

Trading automation is quite versatile in terms of applications. Modern investors can use various types of bots for different purposes. While the “traditional” sense of the word is still a script that performs and algorithm usually including some operations on your chosen brokerage platform or centralized exchange, one can easily say that advanced analytical systems deployed on some terminals are very close to fully automated systems.

Another important staple feature in the world of trading automation is backtesting. For example, companies like WunderTrading allow their clients to run bots retrospectively and check their performance against the market history revealing insights that help you modify analytical systems or completely redesign it depending on the results of backtesting. Some platforms also offer free trials or free features, making it easier for users to get started with automated trading without any initial cost.

Automation is hugely important for contemporary retail traders. With competition toughening and more players entering the market, speculative active traders must become even more inventive and proactive to continue making money reliably. Trading robots can help them achieve incredible results and reach profitability goals, but it takes dedication and confidence from investors. Additionally, some platforms incentivize users with rewards for engaging with their bots or reaching certain trading milestones.

Looking ahead, the future of automated trading is likely to see even more sophisticated bots and tools. Bots can be customized to match an investor's risk appetite, allowing for more personalized trading strategies that align with individual risk tolerance and investment goals.

Combining bots with human analysis

One of the issues with the crypto ecosystem is that assets are purely speculative with nothing behind them. It means that traditional fundamental analysis does not work. You cannot evaluate tokens based on the number of developers employed or how much real estate is owned by them. Extrapolating market trends based on this information is always a bad move by an investor. Instead, we have to rely on technical analysis.

This method is based on pattern recognition and sentiment analysis. Technical analysis often focuses on momentum and timing to identify optimal entry and exit points for trades. Many conclusions are derived from analyzing only two metrics: price action and trading volume. Recently, advancements in machine learning revealed that some expert AI systems are capable of recognizing patterns that humans simply cannot see. However, an experienced retail trader still must make the final decision after analyzing options presented by an artificial intelligence system.

Right now, most bots are relatively simple algorithms that do not have any capabilities of artificial intelligence. However, AI-powered crypto analysis is already used in some products available to the masses. For example, WunderTrading has a powerful tool — AI-assisted statistical arbitrage with bots making adjustments to a portfolio based on analytical methods created by machine learning algorithms.

Using bots to make some predictive work and laying out potential forecasts is the best way for a human trader to make mid-term investment decisions. At the same time, short-term analysis should be left to automation and long-term analysis to experienced humans.

Here are some benefits to using automated analytical systems:

  • Bots compensate for the lack of mental stability in humans. Many retail traders do not have the required level of discipline and emotion control to make investment decisions quickly. Robots will follow instructions without any hesitation and perform indifferently regardless of the market conditions.

  • Humans have to rest and sleep to do well in the market. One of the best things about automation is that it works all the time. The crypto market never stops functioning creating great trading opportunities around the clock. Bots will be active even when you sleep or take a pause for a quick snack.

  • Automation is quite easy to use thanks to many advancements in UX/UI. Contemporary automation platforms are intuitive and can be used without any issues even by people without any technical knowhow.

While bots and AI tools can provide valuable analysis and help identify trends in momentum and timing, they do not constitute licensed investment advice or real-time financial recommendations.

To top it all off, automated trading systems are cheap. You don’t have to pay thousands of dollars to run a successful trading robot. We strongly believe that by the end of this decade, 100% of all trades conducted by individual and institutional investors will be done with at least some assistance from fully automated trading systems.

Using bots for technical analysis

TradingView is one of the most popular analytical platforms for crypto enthusiasts. Thousands of users engage in passionate discussions about various approaches to inspect the market and identifying trading opportunities. Charts are essential tools for visualizing historical price data, identifying patterns, and applying technical indicators to inform trading decisions. At the same time, using TradingView automated trading is also quite effective for users who vigorously test analytical strategies and employ common risk management practices.

Some of the best crypto bots for analysis work with alerts from this platform. You don’t need to have a computer science degree to start using the Pine Editor at TradingView and write unique scripts that produce reliable alerts. Bots can also monitor crypto prices and current prices across multiple exchanges in real time, providing comprehensive market data for informed trading. However, it takes some time and effort to learn the basics and understand the syntax and write proper code.

When it comes to Bitcoin market analysis, you should learn more about TradingView because it has unique indicators that help many investors identify the best time to buy. For example, you may have a bot that will be triggered by the Hash Ribbons indicator that uses the data from the market and combines it with the information on the current computational power employed by miners to see when the market starts going up. Additionally, analyzing price changes over the last day can provide insights into short-term market movements and help traders react quickly.

Unfortunately, similar indicators do not exist for Ethereum market analysis systems since this network moved to the PoS (proof-of-stake) validation mechanism. Nevertheless, some power users devised interesting analytical strategies that target ETH. If you are interested in using them, consider deploying some of the suggested strategies and test them with the “Strategy Tester” tool available at TradingView to all registered users. Understanding the circulating supply of a token is also crucial for evaluating its potential value and scarcity in the market.

Various automated systems can be used to analyze a wide range of different assets including some lesser known tokens. Analyzing blockchain transactions can reveal important information about network activity and potential market manipulation, which is valuable for assessing asset health. Altcoin market analysis is challenging due to issues with liquidity or gaps in trading volumes for some of obscure coins, but you can still find interesting approaches to analyze them. Identifying trending tokens can help traders spot emerging opportunities and make timely trades.

How to build safe and reliable trading bots

While it may seem that using automation is simple, do not get too confident in your skills before testing them in real market conditions. Using bots and automated technical analysis feels intuitive and straightforward. Many retail traders fall victim to their overreliance on fully automated systems and lose money. It is also crucial to test your bots on different coins to ensure they perform reliably across various cryptocurrencies.

You can protect your investments with some risk mitigation techniques that should be employed by all retail traders interested in making good cryptocurrency market predictions.

Here are some ways to prevent financial losses and achieving your profitability goals:

  • It is important to test everything multiple times. The TradingView platform has its Strategy Tester while many automation vendors such as WunderTrading offer backtesting functionality to their users. It is important to check how your analytical systems work in conjunction with trading bots to avoid launching an automated trading system that performs inadequately. Failing to do so increases the risk of losing funds due to inadequate testing or poor strategy.

  • Iterate until perfection. Testing once is not enough. You should run multiple iterations of an analytical strategy to find something that produces more true positive signals than false ones. It takes a lot of trial and error until you create a system that delivers a consistent performance, but investing time and effort often pays off greatly!

  • Use delayed orders. Some retail traders do not like using stop loss and take profit orders to secure profits and prevent excessive losses. They believe that it is better to watch your market positions closely and react to the market based on intuition. However, humans often make mistakes due to emotions, stress, or low reaction speed. We strongly recommend automating the placement of delayed orders.

  • Use analytical systems approved by the community. Two heads are better than one. Go to Reddit or TradingView forums to find people who tested strategy that you like. Often, users will give valuable feedback, share their experience, and give tips on how to use some approaches efficiently. We strongly recommend joining some communities and work with other retail traders to find methods that work well. Additionally, always verify the credibility of strategies and advice shared by other users to avoid falling for unreliable or misleading information.

Should you use automated crypto market analysis?

Some experts argue that it is impossible to make short-term forecasts without employing various forms of automation. It is also hard to work with multiple assets at once. A crypto trading bot solves these issues and allows you to quickly identify good entry points while providing invaluable insights into the inner workings of the crypto market.

...

Next page