The main dishes to remember:
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Chatgpt can synthesize social networks and the feeling of news to reveal the first stories and the buzzing of the market around emerging tokens.
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The supply of technical indicators and onchain to chatgpt transaction data allows traders to follow “intelligent monetons” movements and to identify the models of accumulation or distribution.
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The exploration of several GPTs in workflows allows traders to reference contractual measures, feeling and security for more informed decisions.
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Construction of a data -based scanner with integrations, clustering, detection of anomalies and tokenomic metrics can automate the discovery of high potential tokens.
Finding very potential coins before taking off is often mistaken with a pure chance, but experienced investors understand that it is necessary to diligence, no luck, to find them. With Chatgpt and other tools fed by AI by your side, you can sort thousands of tokens and identify real value.
This guide guides you throughout the chatgpt use process as a research tool for the analysis of cryptocurrencies.
Explore the feeling of the market and the story with Chatgpt
A piece can have great fundamental principles, but if no one is talking about it, its potential is not achieved.
A hidden gem is often the one that barely starts to generate a positive buzz. You can get chatgpt to synthesize an image of public opinion by fueling computer information from various sources.
For example, you can copy and paste recent titles from the main crypto press media or extracts from popular social media platforms like X or Reddit.
Try to use a prompt like:
“Analyze the titles of news and comments on the following social networks on (part name). Syntize the global feeling of the market, identify emerging stories and report all potential red flags or major concerns discussed by the community. ”
The AI can use the data you have provided to generate a summary that indicates whether the feeling is neutral, optimistic or negative, as well as what special discussion points get a traction. This method can help you determine the overall emotional state of the market.
In addition, cat cat can be asked to seek growth indications in the ecosystem of a project. You can send snapshots from platforms like Defilma, but you cannot provide them with real-time data.
For example, you can use a prompt like this:
“Based on the following data points on the total value locked for protocols in the ecosystem (part of the part), identify the sectors that earn the most momentum and which protocols see the fastest growth in the last 30 days.”
Supervised in this way, Chatgpt can highlight the aberrant values - protocols drawing liquidity and users more quickly than others. These stars tend to be more than technically healthy; They are the ones who attract market attention and strengthen the type of traction which often causes net price movements.
Did you know? According to Mexc research On 2025, 67% of Crypto Gen Z traders have activated at least one trading bot or a strategy fueled by AI in the last 90 days, showing a large generational evolution towards automation, Assisted AI trading.
Data -oriented approach to use ChatPPT
For advanced traders, dig into technical metrics and Onchain can surface remarkable opportunities. This is where you go from the researcher to the analyst and actively start collecting the right data to feed him at AI for deeper.
For a more technical interpretation of the indicators, you can supply the raw technical data from Chatgpt from mapping platforms. For example, you can give it the values of the relative resistance index (RSI), the divergence of mobile average convergence (MacD) and different mobile averages for a specific part over a given period.
An example of a useful prompt could be:
“Analyze the following technical data for (part name) during the last 90 days. Depending on the average crossroads of the RSI, MacD and 50/200 days provided, what can you infer on the current market trend and potential price movements to come? Highlight optimistic or lower signals.”
By carrying out an analysis of ONCHAIN’s data, you can reveal the truth behind the activity of a project. You can copy and paste raw data from a block explorer or an analysis tool.
For example:
“Here is a list of recent transactions and portfolio activity for (part name). Analyze this data to identify the “smart monetons” movements, which are large volume transactions from wallets that have historically performed well. Depending on this, can you detect accumulation or distribution models? ”
This method can help you follow the movements of the great actors and ideally identify the first signs of a potential price movement before it becomes visible for the rest of the market.
Advanced chatpt gpts
In Crypto, the real chatgpt power comes when you explore the GPTs, personalized chatgpt versions, which are adapted to specific use cases. Many GPTs are designed to extend chatgpt capabilities, such as intelligent contract analysis, blockchain search summary or the implementation of structured market data. For example, you can use a GPT designed for tokens safety analysis, another for monitoring the ONCHAIN portfolio or optimization for the analysis of cryptographic research reports.
Here is a step -by -step guide on how to access GPT for cryptographic trading:
Step 1: Get a Chatgpt subscription
To start using GPTS, you will need a Plus Chatgpt account ($ 20 / month).
Step 2: Explore the GPT
In the left menu, click on “Explore the GPTs”. Use the search bar to search for Crypto -related GPTs. Select and launch the GPT you want to use.
Several GPTs can be executed at the same time in your workflow – for example, combining a GPT that sums up the Tokenomic with another which checks the security of the contract. However, it is important to remember: these tools should accelerate your own research, not fully replace it.
How to create a data -based scanner with chatgpt
You can go beyond the occasional prompts by making a Chatppt game of an automated discovery pipeline.
Start by creating integration from white project papers, social networks and Github Commites. Combine these vectors to surface aberrant values of human value. Add a risk score of Tokenomics which weighs the supply in circulation, unlocks the schedules and acquisition cliffs, as well as a metric of the liquidity depth built from instantaneous commands and spreats of decentralized exchanges (dex).
You can also superimpose the detection of anomalies on large transfers and contract interactions to report an unusual activity in real time.
To run this system, collect data via APIs from GitHub, Coingecko and Etherscan. Treat it with Python (or another language) to generate digital measures and integrations. Apply the clustering and the detection of anomalies to highlight unusual projects, then press the results in a dashboard or a warning system so that you can act quickly.
Finally, back your signals by replaying past onchain events and transaction flows. This transforms the dispersed data points into a structured process that produces repeatable and high commercial ideas.
This article does not contain investment advice or recommendations. Each investment and negotiation movement involves risks and readers should conduct their own research when they make a decision.
