Grasping trends is the main theme of the crypto market.

Written by: Deep Tide TechFlow

After experiencing a "Christmas discount," crypto assets are currently warming up.

Among them, AI Agent-related projects are still the ones rebounding the most, reflecting the continued optimism of investors. However, the differentiation effect in this large sector is also very obvious:

Some projects may not return after a drop, while others are rebounding together.

Among the projects that have shown significant rebounds in recent days, aside from a few leaders, one type of theme may be worth your close attention --- using AI Agents for crypto research.

Don't get me wrong; the current Agents are clearly not capable of serving as professional market analysts. Previously, there was AIXBT, which helped analyze Alpha projects and gained popularity;

However, the current "research-type" AI agents are more refined compared to AIXBT. Some can help you analyze candlestick charts for technical analysis, some can help you assess whether a project has Rug risk, and others can generate summaries similar to research reports…

Making a mark in a specific niche and providing partial references for trading is why these Agents are currently attracting attention. After all, being close to money and trading increases the likelihood of gaining favor.

The Deep Tide editorial team has compiled several prominent projects, summarized as follows.

$AGENCY(Agent Scarlett): Your Token Due Diligence Agent

CA:

5UmDWgyLV1JBg8Jr8NwyezXdQkiU3vHGJu2efm7Cpump

Current Market Cap: 12M

7-Day Increase: 1100%

Agent Scarlett appears more like a token analysis robot, capable of quickly using Scarlett to identify and investigate potential suspicious projects and gain a comprehensive understanding of any token.

It is worth mentioning that this AI Agent is also built on the ai16z Eliza framework and has recently gained significant discussion on crypto Twitter.

In terms of token economics, 10% of AGENCY tokens will also be donated to the ai16z DAO.

Functionally, she is currently available for everyone to use on Telegram and Twitter, and there are no fees required (Usage Tutorial).

Moreover, the usage method is very simple; you can @ her on TG or Twitter and input the contract address of the token you are interested in, and she will automatically return the results to you.

From a practicality standpoint, one of Scarlett's advantages is that the analysis she returns includes the fundamentals and on-chain situation of a token, such as informing you about social media sentiment and whether organizations and KOLs related to the token have shown support; she will also summarize on-chain data such as wallet addresses and the number of holders.

Additionally, she will list pros and cons, similar to a short (shallow) research report.

You can also continue to ask her more questions to get deeper answers (which also tests your questioning skills).

However, the editorial team members have seen similar products long ago, such as Messari's Copilot and 0xScope's Scopechat, which resemble a crypto version of GPT.

But the current market seems to be very receptive to these types of small assistants with tokens. Relevant data shows that the discussion heat of $AGENCY has rapidly increased, and it is evident that there is a mutual influence between discussion and price.

From the distribution of holdings, among around 3k wallet addresses, nearly half hold less than $100, which seems to reflect the affinity of these AI Agents towards retail investors:

• Free to use, everyone can play, and if they find it useful, they might buy it casually.

• Very easy for KOLs to use as targets for promotion, after all, a harmless analysis tool is liked by retail investors, and there’s no need to link wallets.

$TRISIG (Tri Sigma 3σ): Writing Research Threads on X

CA:

BLDiYcvm3CLcgZ7XUBPgz6idSAkNmWY6MBbm8Xpjpump

Current Market Cap: 33M

7-Day Increase: 578%

TriSig is a clever crypto analyst, claiming to identify early alpha projects and answer challenging questions in a simplified manner while sharing its views on any significant events or trends in the cryptocurrency market.

Its name and image lean more towards a mathematical meaning (corresponding to the mathematical symbol σ: Sigma), moving more towards the direction of an omniscient AI creator.

Functionally, it is similar to the aforementioned $Agency, where you ask questions about tokens, and it provides answers.

However, the difference is that TriSig on TG is currently just an entertainment bot. Serious analytical conversations are limited to X.

You just need to @trisigma on X to use it for analysis in any tweet interaction.

Interestingly, it writes tweets itself, providing a quick research introduction to a project, including what the project does, current social media sentiment analysis, and its subjective bullish or bearish judgment.

Additionally, this project is very community-oriented. If TriSig is impressed by the question you ask, it will request you to leave your wallet address in the tweet reply to airdrop $TriSig tokens.

Further data analysis shows that the TRISIG token has rapidly increased in price over the past 2-3 days, corresponding to a gradual increase in external discussions; as of today, the price has seen a significant pullback, but the discussion level remains on the rise.

In terms of chip structure, the difference between addresses holding less than $100 and those holding less than $1,000 is not significant. Compared to the previous project AGENCY, this token is relatively more favored for heavy positions, but its market cap is also higher.

$KWANT (kwantxbt): Focused on Technical Analysis, Providing Price Points

CA:

9Yt5tHLFB2Uz1yg3cyEpTN4KTSWhiGpKxXPJ8HX3hat

Current Market Cap: 6M

7-Day Increase: 25% (24h 70% rebound)

If the first two projects also involve fundamental research, Kwant is more straightforward, directly analyzing token charts and providing investment advice.

The usage method is similar; simply @KwantAI_bot in TG and send it the CA of a specific token to receive pure technical analysis, including but not limited to volume-price relationships, chart patterns, and subsequent operational suggestions.

Unlike general projects that say "NFA" (not financial advice), KWANT provides very specific practical advice, including support levels, breakout levels, and stop-loss levels.

Of course, any crypto investment carries significant volatility and risk, and KWANT cannot always be a winner; however, as AI Agents gather more information and possess the ability to learn and evolve, do you trust the entry points given by so-called "community experts" or those provided by AI?

Having more references and voices is not a bad thing; this is the baseline for the popularity of such projects.

Additionally, since the KWANT token was released over half a month ago, the recent social media sentiment is not very meaningful, as there are always discussions about KWANT after a while. Looking solely at the price, the recent rebound trend of the token is very evident.

In terms of chip structure, small retail investors still make up the basic market, and there are not many heavy users holding over 25K. The author believes one possible reason is:

Compared to bots that provide fundamental research, those that directly give price points have a higher failure rate and can easily turn into repeated negative examples.

$COOKIE (Cookie.fun): Providing Data and Sentiment Analysis for All AI Tokens

CA:

0xc0041ef357b183448b235a8ea73ce4e4ec8c265f (Available on both BSC and BASE)

Current Market Cap: 24M

7-Day Increase: 7%

Note that this project is not an AI Agent but a data analysis platform that has rapidly risen amid the AI Agent craze.

The reason for including it in the review is that the editorial team and analysts from external networks often use this platform to observe current market trends, which can provide meaningful data for research;

Moreover, this platform also has its own token $COOKIE, one important function of which is that you can stake it to access more data analysis features on the platform, such as viewing the on-chain chip structure of a specific AI Agent token, whale holdings, and more sentiment indicators to assist decision-making.

In the attention-driven crypto market, understanding the relationship between sentiment and price is crucial for analyzing a project, so data analysis platforms like Cookie certainly have their significance, and focusing on AI Agent data analysis can quickly occupy an ecological niche amid the craze.

In contrast, the platform token is not a meme and does not strictly belong to the AI Agent tokens, so its price volatility is limited, providing more practical value.

Where Are We?

From playful memes to attempts to guide you in "making money," crypto market AI Agents are continuously evolving, and in just a few months, the industry has fully blossomed.

Whether it can bear fruit is uncertain, but this flourishing indeed has a certain feel reminiscent of the DeFi Summer.

If you trace back the timeline of the last few months of 2024, you can clearly see a pattern:

From having no real significance to trying to find more real significance, AI Agent tokens are seeking more functions to support their narrative.

For example, social interaction, music production, helping you build development frameworks, or research; in the current market, if you don't have anything to do with AI, it seems almost embarrassing to state your selling points.

What we can do is clarify which stage we are in and make corresponding operations and judgments based on the hot topics of the stage.

As for when the final chapter will arrive after the noise, it is an unpredictable and worrying question. After all, someone always pays the bill at the feast, and someone always profits from the trend.

Grasping trends is the main theme of the crypto market.

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