Cryptocurrency
3 Ways You Can Use ChatGPT to Find the Perfect Ripple (XRP) Entry

XRP has been trading all high and mighty over the past week, adding more than 32.5% to its price in the interim. It achieved a brand new all-time high and it appears that it’s riding on the momentum of becoming the 3rd-largest cryptocurrency by means of total market cap, at least at the time of this writing.
But while these conditions might be excellent for those who have built up their positions, users looking to get into it might struggle to identify appropriate entry points.
Now, this article is in no way a financial advice, but we thought it might be interesting to explore how we can leverage ChatGPT’s analytics capabilities to identify a potentially good entry for XRP in current price conditions.
Below are three ways you can use it to, at the very least, get some supplemental information that might help you form your investment thesis. Of course, this should only be used in addition to your own research – make sure to do it and never trust an AI in its entirety.
Assistance with Technical Analysis
Whether you believe technical analysis works or not, many traders use it to gauge the effectiveness of an entry and to also identify potential exits. In general, it remains one of the most common practices for crafting strategies.
You can upload a chart to ChatGPT and use it to interpret technical indicators such as:
- Moving averages
- Relative strengh index
- Support and resistance levels, and much more.
Let’s check out an example. We have uploaded the following chart:
We also inserted the following prompt. Note how we start with a prompt to identify the current price – we want to make sure that ChatGPT reads the chart properly:
The AI then returned the following answer to our first two questions:
As you can see, it provided a correct answer to the first question and then provided the main support and resistance levels with certain argumentation for it. The previous all-time high is not flagged as a support because the price is hovering above it and it’s still uncertain as to whether it has been flipped as support or not – the bot needs further confirmation, perhaps in the form of a few consecutive daily candle closes above it.
In terms of resistance, because XRP is in price discovery, ChatGPT correctly assumed that there is “no clear historical resistance beyond this on the provided chart.”
The more interesting part is to see what types of entries it has provided. This is what it returned as an answer to the third question:
Now, whether or not this fits your trading style is an entirely different question, but you can modify the prompts to be more precise and tailored to your particular strategy. In addition, you can also feed it with more information so that it also takes some fundamentals into consideration, which brings us to point number two.
Sentiment Aggregation from news and Social Media
ChatGPT can easily summarize recent sentiment surrounding XRP by scanning news headlines, interpreting Reddit or Twitter posts, flagging major developments, and so forth.
However, the caveat here is that if you’re not that tech-savvy and can’t build some sort of an automation, you will have to manually feed the bot with the headlines and materials you want it to summarize and interpret.
Fortunately, there are plenty of aggregation resources out there that you can use to quickly compile headlines from the past 24 hours or from the past week, for instance, and then feed them into ChatGPT for it to work with.
As a bonus tip here: consider giving ChatGPT a certain role. Instead of just prompting it with a simple task such as “summarize these articles,” you can go a lot more in-depth. A more professional-looking prompt could be something like:
Respond as if you are a professional swing trader with a focus on cryptocurrencies. Analyze the contents of the following URLs in depth and provide answers to the following queries:
- What is the ongoing trading sentiment surrounding XRP.
- What is the broader market sentiment based off the URLs I’ve provided.
- How does question 2 reflect on the answers in question 1.
- Take into account the trading chart that I’ve uploaded and improve your answers with the fundamental context you gather from the URLs.
- Craft a new trading strategy with clear entry and exits for different time frames, to fit different risk profiles.
Macro and On-Chain Data Interpretation
Just as it can read trading charts, ChatGPT can also read on-chain graphs that provide contextual information for a certain coin based on its technical fundamentals.
For instnace, the flow in and out of exchanges can be a critical parameter to gauge investor sentiment – increased exchange inflows could be a sign of an incoming selling pressure, while outflows typical signal stronger underlying spot market conditions.
Therefore, make sure to also use this to your ChatGPT-provided analysis for a fuller breakdown and a more cohesive strategy.
Having said all of the above, I would like to reiterate that none of it is financial advice. You should always conduct your own research. Tools such as ChatGPT (or other AI-based agents) can be used to your advantage but always approach them with a grain of salt and verify the information they provide.
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Cryptocurrency
Crypto Markets Shed $100 Billion as Bitcoin Was Rejected at $120K: Weekend Watch

Bitcoin’s price ascent to $120,000 came to a halt yesterday as the asset was rejected once again at that resistance and pushed south by a couple of grand.
The altcoins, which were flying high yesterday, have seen even bigger price declines over the past 24 hours, with SUI leading the adverse trend.
BTC Stopped at $120K
Bitcoin had a spectacular start to the business week as its ascent that began last week culminated on Monday with a price surge to just over $123,000. Thus, the cryptocurrency set a new all-time high after adding over $15,000 in the span of about five days.
This ‘up only’ mode finally came to an end, and the asset went on an expected correction. It lost over seven grand in the following day or so, driven mainly by profit-taking and some uncertainty in the US after the worrying CPI data for June.
Nevertheless, the bulls didn’t allow a further breakdown, and BTC started to recover the lost ground. By the end of the week, it challenged $120,000 and even went for $121,000 on a few occasions, but to no avail. The subsequent rejections pushed it south hard, and BTC slipped to $117,000 yesterday.
It has recovered some ground and now trades around $118,000, but it’s still in the red on a daily scale. Its market cap has declined to $2.350 trillion, while its dominance over the alts is below 60%.
Alts Retrace
Many altcoins posted impressive gains on Friday, but the situation has flipped since then. XRP, which skyrocketed to a new all-time high of over $3.6, has lost almost all gains and is down to just over the previous peak of $3.4. Ethereum was stopped at $3,700 and is now below $3,600.
SUI has dumped the most from the larger-cap alts, followed by HYPE, XLM, ADA, SOL, and LINK. Dogecoin and ETC are the two exceptions from this cohort of altcoins.
The total crypto market cap, which soared past $4 trillion yesterday, is down by $100 billion since the peak to $3.940 trillion now.
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Disclaimer: Information found on CryptoPotato is those of writers quoted. It does not represent the opinions of CryptoPotato on whether to buy, sell, or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk. See Disclaimer for more information.
Cryptocurrency charts by TradingView.
Cryptocurrency
DOGE Price Ships to 2-Month High: How Bullish Are Whales and Traders?

TL;DR
- The cryptocurrency market revival in the past ten days or so has benefited certain assets more than others, with the leading meme coin being a prime example.
- Dogecoin’s price rocketed to a two-month peak, while whales have started accumulating en masse, and large traders are opening sizeable longs.
Whales bought 1.08 billion Dogecoin $DOGE in the last 48 hours! pic.twitter.com/vQapyIncRN
— Ali (@ali_charts) July 18, 2025
Data shared by Ali Martinez shows that large DOGE holders have expanded their holdings by more than a billion coins within the span of just two days. To put this amount into a USD perspective, it’s valued at over $250 million at current prices.
This accumulation comes at a time when the OG meme coin’s price has gone through the roof. Recall that it traded at $0.19 on Tuesday, which was a crucial support line. After it bounced off it on a couple of occasions, DOGE went on a roll, shipping beyond $0.25 and reaching its highest price tag since the second week of May.
Moreover, Dogecoin’s price has soared by more than 80% since its bottom on June 23 during the Israel-Iran war.
Aside from whales buying spot, large leverage players have also caught the move upward. Lookonchain reported that an anonymous whale closed a long DOGE position at the top yesterday, profiting more than $2 million. Later, they opened another one, worth over $21 million, going 10x long on the meme coin.
Whale 0x6adb closed his $DOGE long at the top yesterday, locking in a $2.14M profit.
10 hours ago, he jumped back in — going 10x long on 84.08M $DOGE($21.24M), with an unrealized profit of $1.64M.
Smart moves! https://t.co/f3FekXx5yg pic.twitter.com/zc2tYXnLeP
— Lookonchain (@lookonchain) July 19, 2025
From a technical standpoint, analysts believe Dogecoin is poised for a surge to $0.36 or even $0.54, as long as it remains above the critical support level at $0.2.
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Cryptocurrency
Visual Crossing Integrates Real-Time Radar into Weather API for U.S. and European Markets

[PRESS RELEASE – Reston, VA, United States, July 18th, 2025]
Visual Crossing has expanded its weather data platform with the integration of real-time radar capabilities. The rollout begins with coverage across the United States and Europe, offering enhanced precision for location-aware applications and services.
Radar integration into weather APIs is not new—competitors such as Tomorrow.io and OpenWeather introduced similar capabilities in 2021. However, Visual Crossing’s implementation prioritizes broader accessibility and developer integration, rather than focusing solely on enterprise-level deployments.
“Adding real-time radar unlocks a new level of precision in location-aware applications,” Sean, Visual Crossing spokesperson stated. “It allows developers to track storms and rainfall minute-by-minute and adjust their services accordingly.”
Enhancing Environmental Context in Location-Based Services
While GPS provides spatial positioning, it does not account for evolving environmental factors. Real-time radar bridges this gap by incorporating live data on storm activity, precipitation, and wind fields. This enables geospatial applications to dynamically respond to environmental changes.
Navigation systems, for example, can now reroute traffic based on storm proximity, avoid flooded or hazardous zones, and provide safety scoring for different route options. Ride-hailing services may delay or cancel trips, adjust dynamic pricing based on weather proximity, and notify users of weather-related risks.
Micromobility platforms can temporarily suspend operations in zones forecasted for severe conditions, enhancing user safety.
According to data from the U.S. Federal Highway Administration, approximately 21% of vehicle crashes in the U.S. are weather-related, contributing to nearly 5,000 fatalities and over 418,000 injuries annually. Real-time radar data can help applications mitigate such risks through timely adaptation.
Applications Across Logistics and Retail
The integration is expected to support operational resilience for logistics providers, on-demand services, and retail platforms. Organizations such as FedEx and Amazon could potentially adjust shipment routes, reschedule loading times, or pause deliveries based on live weather intelligence.
Given that over 70% of U.S. roads pass through snowy regions, the ability to respond to precipitation and storm warnings is critical for safety and efficiency in fleet management.
Weather’s influence on retail is also significant. A study in the Journal of Retailing and Consumer Services indicated that daily sales performance can fluctuate by up to 23.1% based on store location and up to 40.7% based on weather-sensitive product categories. With real-time weather data, applications may automate localized promotions, such as hot beverage discounts during cold weather or patio dining campaigns on clear days.
About Visual Crossing
Visual Crossing provides advanced weather data solutions for developers, businesses, and enterprises. Through its scalable weather API platform, the company delivers historical, current, and forecast weather data designed for precision and accessibility. Visual Crossing serves a diverse range of industries, including logistics, agriculture, retail, and energy, enabling them to build smarter, weather-aware applications and operations.
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