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How to Trade Crypto with Market Sentiment

Wednesday, June 19, 2024

Understanding the market sentiment is a significant factor in crypto trading. Market sentiment is simply the general attitude or mood of all investors towards a specific asset or market. This mood can help dictate prices and trading volumes; hence, it's considered a very pivotal tool for traders. The analysis of market sentiment, therefore, provides a trader with insights on what potential trends in pricing could be coming up and thereby gives opinions on the same through decisions made.

Classification of Market Sentiment Indicators

Sentiment Analysis Tools

Social Media Monitoring
Conversations about cryptocurrencies surround social media like Twitter, Reddit, and Telegram. Sometimes, this is a real-time peek into market sentiment. Tools include LunarCrush and Santiment to monitor the activity on social media around certain digital assets, noting the mentions, hashtags, and trends surrounding specific cryptocurrencies. For example, an increase in tweets or Reddit posts about Dogecoin during the 2021 Dogecoin rally was correlated with a tangible increase in price.

News Headline Sentiment Analysis
The importance of news to market sentiment cannot be underestimated. Sentiment tools now include headline and article analysis, such as CryptoPanic and The TIE, which gauge the overall market reaction to any piece of news. Some further enhance this market sentiment following positive news, such as institutional adoption or regulatory approval; others depress it after news of a security breach or regulatory crackdown. This can be seen, for example, when Tesla announced an investment of $1.5 billion in Bitcoin in early 2021; this drove positive sentiment and pushed the price of Bitcoin to all-time highs.

Technical Indicators

Fear and Greed Index
The Fear and Greed Index measures market sentiment by analyzing various factors such as volatility, market volume, and social media activity. It has a scale running from zero (extreme fear) to 100 (extreme greed). That index gives a trader an idea of whether the market is overbullish or bearish—for instance, in cases of extreme fear, there are opportunities for buyers, and extreme greed is a reason for the market to correct itself.

Relative Strength Index (RSI)
RSI is a momentum oscillator that measures the speed and change of price movements. The values oscillate between 0 and 100; above 70 shows overbought conditions, while below 30 could signal oversold. Traders analyze RSI to see the general sentiment of the market and look for potential reversal points. For example, a high RSI during a bull run may indicate that the market is becoming overbought and a correction is likely around the corner.

Analyzing Market Sentiment

Social Media Sentiment
Tracking Mentions and Trends
Keeping an eye on mentions and what's currently being discussed on platforms might give you an idea of the market sentiment. A sudden spike in mentions or a trending hashtag may indicate growing interest in the specific cryptocurrency. For instance, this was very common during the 2017 ICO boom, whereby the big projects gaining traction over social media got massive price run-ups as investors rushed to buy in.

Sentiment Scores
Sentiment analysis tools usually assign sentiment scores to social media posts as positive, negative, or neutral. These scores tend to give the trader some intuition about the overall market mood. For example, when a high positive sentiment score exists about one particular cryptocurrency, that is indicative of a bullish sentiment—meaning there may be an indication that the price would go up—and, in contrast, when a high negative sentiment score exists, the indication then is bearish, signaling there may be a price drop.

News Sentiment

Impact of Major News Events
Most major news events create market sentiment. By analyzing how the market reacts to news, a trader can make up his mind about potential price movements. For instance, when it was announced in mid-2021 that the value of Bitcoin had taken a substantial dive because of the clampdown on cryptocurrency mining in China, such news spread negative sentiment. Conversely, news of major companies like PayPal and Visa integrating cryptocurrencies into their payment systems has often led to positive sentiment and price increases.

Filtering Noise
Not all news is relevant or significant. The filtering out of noise and homing in on such impactful news is the key to getting sentiment analysis right. For example, CryptoPanic provides a user interface for every trader to personalize their feed according to sources and topics of interest to their trading strategy. Then, filtering out the noise can help traders focus on those news events likely to make a big difference in market sentiment.

Crypto Market Sentiment

Strategies for Using Market Sentiment

Contrarian Trading
Trading Against the Crowd
In this case, contrarian trading means competing against prevailing market sentiment. The idea is to take advantage of overreactions and market extremes. So, for example, during moments of great fear, a contrarian trader may buy assets at their low prices, later expecting a rebound in the market. And, of course, just the other way around: if markets are driven by excessive greed, he will have an opposite approach—sell or go short—with probably an expectation of a market correction.
Identifying Market Extremes
An equally critical component of successful contrarian trading is the ability to identify market extremes. Sentiment indicators like the Fear and Greed Index and RSI help traders pick out such extremes. For instance, if the level of fear, as indicated by the Fear and Greed Index, is extreme, but the RSI is suggesting it is oversold, that can be a good buy indication. On the contrary, if it is shown in a highly greedy area, that could be a time to sell, especially when the RSI shows overbought conditions.

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Momentum Trading

Riding the Trend
Momentum trading is all about betting on prevailing market trends. If sentiment is bullish, then it can help create a trend that the momentum traders will ride. This summer of 2020—better known as DeFi summer—sentiment has brought projects in DeFi to make giant leaps, providing such momentum trading opportunities.

Managing Risk
A significant risk management tool in momentum trading is dealing with sentiments, which can easily change and even cause sharp reversals. Orders for setting stop losses and establishing take-profits due to changing sentiment make good tools for profit preservation and limiting loss exposure. For instance, if a positive sentiment surrounding a specific cryptocurrency starts to waver, the momentum trader might set a stop-loss order on this position to get out before the sentiment turns negative.

Sentiment Analysis Tools and Platforms

Most Popular Sentiment Analysis Platforms
LunarCrush
LunarCrush is an all-in-one platform that helps users analyze social media sentiment, enabling the monitoring of mentions and engagement across hundreds of social media platforms. The application provides insights into market trends, and it empowers the trader to single out a rising interest in a specific cryptocurrency, giving them a gauge of overall market sentiment.

CryptoPanic
Cryptopanic is a news aggregator that analyzes sentiment. The application sources news items from various sites and then separates them according to sentiment. Traders can set up their feeds to get personalized information that will significantly concentrate on particular issues and sources in line with their trading strategies. By providing this real-time overview of news sentiments, CryptoPanic aids the trader in remaining informed and making timely decisions.

Custom Sentiment Analysis
Building Your Own Tools
A good ingredient of every advanced trader's toolkit is a customized sentiment analysis tool. Traders can gain an edge by creating their trading algorithms with the help of APIs and data feeds from Twitter, Reddit, and news sites for sentiment analysis techniques. Such tools can be integrated with trading bots and platforms for automated sentiment analysis.

Implementing Sentiment Analysis into Trading Bots
Sentiment analysis could be integrated into trading bots to increase the efficiency of automated trading strategies. Trading bots will be better positioned with the added capability of sentiment indicators. For example, a trading bot may use sentiment scores to define entry and exit points, changing its strategy according to real-time changes in sentiment.

Historical Examples
2017 Bitcoin Bull Run
For instance, an example is highly represented by the 2017 Bitcoin bull run about how market sentiments can only lead to price movements. At that particular time, the reasons behind the market excitement were strong sentiment about the increasing potential of Bitcoin as a digital asset, and mainstream interest in it was starting to pick up. Analyzing social media trends and news sentiment during this period, we see that positive sentiment led to significant price increases.

DeFi Summer 2020
The DeFi boom in 2020, more commonly referred to as DeFi summer, has brought great hype and investment into decentralized finance projects. Positive sentiment around the potential for DeFi to change finance drove huge price increases in DeFi tokens. The chitchat on social networks such as Twitter and Reddit has further given excessive hype to the overall topic of DeFi.

Previous sentiment analysis was derived from the financial news, which has Historical examples that clearly illustrate why watching market sentiment is so important: with positive sentiment, there can be huge, virtually vertical leaps in prices, while with negative sentiment, sharp drops will occur.

Applying Historical Insights to Current Trading
By keeping track of historical sentiment, traders may well realize just what the pattern was. They will then be able to use this information to incorporate these insights into their crypto trading strategies currently and going forward. Applying past insights to present trading Applying historical insights to current trading involves recognizing when positive sentiment was surging similarly in the past, for example, with a given cryptocurrency such that it signals rising potential prices. On the contrary, recognizing negative sentiment patterns could help one predict those potential prices that have room to decline.

Risks and Considerations
Weaknesses of Sentiment Analysis
Potential Pitfalls
Though sentiment analysis is instrumental, it has its limitations. Market sentiment changes very quickly and often gives false signals. Overreliance on sentiment indicators without considering other factors may also result in weak trading decisions. Therefore, it is one of the most essential parts of a complete trading strategy.

Combine Sentiment with Other Analysis
Integrating Multiple Approaches
One should combine sentiment analysis with technical and fundamental analysis to get an all-inclusive view of the market. Technical analysis may assist with identifying the trend of prices, the points of entry into the markets, and the exit from that place; on the other hand, fundamental analysis can give valuable information regarding the intrinsic value of an asset. The integration of multiple approaches makes traders better informed.

Examples of Comprehensive Trading Strategies
A comprehensive trading strategy can be formulated by including sentiment analysis for assessing market mood, technical analysis for the tracking of trends, and fundamental analysis for evaluating an asset's value. For example, a trader may use the Fear and Greed Index for market extreme spotting, RSI for overbought or oversold confirmation, and fundamental analysis to try to get an estimation of the long-term potential of a cryptocurrency.


The subject matter is quite beneficial to cryptocurrency trading. By analyzing the trends in social media and news sentiment with sentiment indicators, a trader might gain valuable insights into how the price can move. Sentiment analysis in a trading strategy enhances decision-making and leads to better outcomes.
​To use market sentiment in crypto trading, it must be balanced with various tools and strategies. Although sentiment analysis is compelling, it has to be bounded by technical and fundamental analyses to come up with a comprehensive trading approach. It will help traders keep abreast of potential pitfall scenarios and navigate the rough waters of the cryptocurrency markets.

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