Key takeaways Gemini is a research assistant for summarizing data and analyzing text, not a financial adviser for predicting prices. The quality of your research output depends entirely on the specificity and structure of your prompts. A repeatable workflow involves deconstructing a project’s fundamentals, analyzing its economics and mapping its competitive landscape. Always verify AI-generated…
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Key takeaways: ChatGPT accelerates crypto analysis by interpreting data, summarizing sentiment and creating strategy templates. Traders use it for practical tasks like bot development, technical interpretation and backtesting simulations. It augments — not replaces — human decisions and works best when combined with tools like TradingView. Key limitations include inconsistent real-time data access and reliance…
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What is an open-source LLM by EPFL and ETH Zurich ETH Zurich and EPFL’s open-weight LLM offers a transparent alternative to black-box AI built on green compute and set for public release. Large language models (LLMs), which are neural networks that predict the next word in a sentence, are powering today’s generative AI. Most remain…
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Key takeaways: Gemini is now used by crypto traders to monitor market catalysts and breaking news in real time. The Gemini Pro version’s longer context window and web access boost its usefulness for macro and sentiment tracking. It lacks native support for charts, portfolios or backtesting; traders still need external tools. Gemini is a powerful…
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Key takeaways Gemini serves as a powerful tool for research and idea generation, but should not be seen as a source of trading signals or personalized advice. While it effectively summarizes project fundamentals and compares assets, some responses, like Pi Coin’s delayed mainnet claim, highlight the risks of outdated or incomplete information. Using Gemini to…
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Key takeaways Grok detects real-time sentiment spikes from X that often precede short-term price movements, but not all spikes are reliable. ChatGPT turns those signals into trade plans, helping structure entries, exits and risk parameters based on technical and fundamental context. AI tools don’t replace judgment. You’ll learn how to add volume filters, whale flow…
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Key takeaways ChatGPT is ideal for comparing protocols, understanding trends and filtering out noise for research-based decisions. X provides real-time sentiment and early signals, making it useful for catching trending narratives before they hit mainstream news. Each tool has risks: ChatGPT can be outdated without live data, while X carries high noise and misinformation risk.…
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Key takeaways Grok 3 adjusts its predictions based on evolving market trends by analyzing real-time data patterns. Combining technical analysis with sentiment data improves accuracy; Grok 3 effectively identifies potential trade opportunities. Backtesting strategies before live trading is crucial; testing Grok 3’s prompts using historical data helps refine conditions and improve performance. While Grok 3…
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Key takeaways Grok scans real-time sentiment on X to detect early crypto trends, including meme coin momentum and macro reactions. Traders have used Grok-style setups to track tokens like TURBO, ORDI and FET before price moves occurred. Unlike chart-based tools, Grok captures emotional tone and crowd narrative shifts across thousands of posts. When paired with…
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Key takeaways ChatGPT can simplify and accelerate crypto analysis by interpreting market data, summarizing sentiment and generating strategy templates. Real traders use ChatGPT for bot development, technical interpretation and backtest simulation, showing practical applications beyond theory. Its strength lies in augmenting, not replacing, human trading decisions, especially when paired with tools like TradingView and LunarCrush.…
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