Deniz Schütz

The Bitcoin Bundesverband board has issued a response to ‚The distributional consequences of Bitcoin’ by Ulrich Bindseil and Jürgen Schaaf (European Central Bank) addressing their critical view on Bitcoin’s distributional effects. I’ll dive into this topic later today at LABITCONF on the panel, Central Banks’ Global Approach to Crypto—exploring how central banks are approaching crypto, from developing CBDCs to opposing Bitcoin and stablecoins.

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𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 + 𝐂𝐫𝐲𝐩𝐭𝐨: 𝐀 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐢𝐧 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 & 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 🚀 Crypto is fast. Meme coins? Even faster. But what if you could harness the chaos and make smarter, faster trading decisions? Enter Bair.AI Agentic AI. 𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦: Crypto markets are volatile, and meme coins amplify this unpredictability. Traders need real-time insights from:  • Structured data (prices, volume, trends)  • Unstructured data (social media, news)  • Generative AI scenarios (what-if analyses) But managing this data is overwhelming. 𝐓𝐡𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 With autonomous decision-making capabilities, Agentic AI bridges raw data and actionable insights:  • Aggregates structured, unstructured, and generative data.  • Creates tailored reports with trends, sentiment, and visuals.  • Offers real-time strategy recommendations. 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬:  • Predictive Dashboards: Visualize meme coin trends and sentiment.  • Custom AI Queries: Ask natural language questions like, “Which coins are hyped this week?”  • Strategy Advisor: Get smarter trading strategies, even in volatile markets. 𝐓𝐡𝐞 𝐈𝐦𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Agentic AI isn’t just for traders. It benefits:  • Institutional investors tracking meme coin liquidity.  • Creators optimizing tokenomics and community strategies.  • Ecosystem stakeholders monitoring sentiment shifts. Crypto moves fast, but with Bair.ai’s Agentic AI, you can move smarter. The future of crypto intelligence is here. Don’t trade blind—trade smart. 🔗 Learn more at bair.ai #AI #AgenticAI #Crypto #Web3 #ArtificialIntelligence

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#newpublication "Modeling Double Stochastic Opinion Dynamics with Fractional Inflow of New Opinions" 👉 Read the full article here: https://brnw.ch/21wN22y #financialmarkets #modeling #fractionalinflow

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Double Dose of Data: German CPI & Services PMI! 💡 Impact on Markets: CPI affects EUR/USD volatility and ECB policy speculation. PMI drives sentiment in equities and forex. Traders, are you ready for the next move? 👉 Track the data and trade with precision! #WorldQuest #GermanCPI #SPGlobalPMI #ForexTrading #MarketOpportunities #investment

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Are FX Trading Models Too Complex to Be Reliable? Why do so many FX models fail to deliver consistent results, and how can they be improved? Data Quality Matters: High-quality, real-time data is the foundation of any successful FX model, ensuring accurate predictions and reduced noise. Integration of Machine Learning: Incorporating machine learning algorithms enables models to adapt to evolving market conditions and uncover hidden patterns. Regular Calibration: Models must be continually updated and tested against historical and current data to maintain relevance and trading efficiency. #MDMarketInsights #businessanalysis #capitalmarkets #financeindustry #financialservices #investmentanalysis  #TradeFloor #dataanalytics #riskmanagement #tradingstrategies #marketresearch #investmentmanagement #assetmanagement #fintech #regulatorycompliance #portfoliomanagement #derivatives #marketanalysis #financialtechnology #quantitativeanalysis #investmentstrategy #businessintelligence #financialinnovation #economicanalysis #hedgefunds #privateequity #TradingSystems #datascience #riskanalysis #financialdata

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Good post. This is not surprising. Crypto is volatile by nature and only small % of investors can consistently make decent returns. Due to multiple reasons, many blue chip or major tokens have been underperforming. That's why investors should consider allocating a portion of their capital to tokenized real world assets. Diversify the positions, hedge the risk, enjoy double digit yield as passive income. Svim Finance doe exactly that, building a RWA marketplace connecting yield-bearing real world assets and on-chain crypto investors. Global access, better transparency, lower cost, inclusive finance. Win win! https://lnkd.in/g7DTt8gr

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💫 Optimal Storage for #Trading Factors Calculated at Mid to High Frequencies 💻 Maintaining a large number of factors is a common challenge in #quantitative analysis. In many cases, the volume #factor data can far exceed that of high-frequency market data. For example, calculating factor #data for a year across 5,000 securities can yield substantial volumes: 10-minute intervals would generate 2.3TB yearly, 1-minute intervals 23TB yearly, and 3-second intervals 460TB yearly. This massive amount of data requires thoughtful storage solution planning. 📜 This tutorial compares different #DolphinDB storage solutions for factors calculated from high-frequency data using real-life scenarios to provide recommendations for efficient storage. ➡ https://lnkd.in/gFzd4NZK

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PURE PRICE ACTION TRADING. We'd say, Technical analysis is an act of analyzing the market using old data to predict the future movement. Here on the chart shows a preceeding downward movement (sellers in control) and to represent that we use LH & LL. Trendline was broken and marker had previously formed a reversal chart formation which can change the direction from one trend to another. In this case from downtrend to uptrend. Don't forget to join our mentorship channel: https://zurl.co/X1aQ #Forex #Forexmentor #Forexprofit #Forextrading #Forexlife #Forextrader #Forexeducation #Forexgroup #Forexlifestyle #Foryou #Forextraining #Tradingforex #Forextraders #For #Forexsignals #Forpage #Forexmoney #Forexsignal #Forexstrategy #Tradingview #Daytrading

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Can FX Trading Models Outperform Human Intuition? Are automated models better than human decision-making, or is the personal touch still essential? Speed and Precision: Models process vast amounts of data instantly, enabling faster and more precise trade execution compared to manual methods. Removing Emotional Bias: Automated models eliminate emotional decision-making, focusing purely on statistical and market-driven factors. Collaborative Approach: The best results come from blending model outputs with human oversight, ensuring decisions are aligned with strategic goals and market insights. #MDMarketInsights #businessanalysis #capitalmarkets #financeindustry #financialservices #investmentanalysis  #TradeFloor #dataanalytics #riskmanagement #tradingstrategies #marketresearch #investmentmanagement #assetmanagement #fintech #regulatorycompliance #portfoliomanagement #derivatives #marketanalysis #financialtechnology #quantitativeanalysis #investmentstrategy #businessintelligence #financialinnovation #economicanalysis #hedgefunds #privateequity #TradingSystems #datascience #riskanalysis #financialdata

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Just by looking at the failure description of the #expect macro, you should be convinced enough to migrate to Swift Testing: https://lnkd.in/eNKAFG7J

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#Deribit Option Market has its own expectation on #ETH price through Implied Risk Neutral Density (RND). Sounds fancy, but with right visualization becomes clear: #bullrun ETH price has recently risen, but distribution remains steady #expectation of mean price is decreasing, so the small correction is feasible #risk by May 2024: 5% Value at Risk at $2,400 #scenarios by June 2024: feasible price to be high at  $5,000 or low at $1,800 Full article: https://lnkd.in/dRFpREaY

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