Wall Street is one of the harshest environments when it comes to data volume & velocity. 😅 On a typical day, a trading desk will encounter billions of events and process petabytes of real-time and historical data. 🤯 On a not-so-typical day – if a currency depegs or a shorting opportunity goes viral – these numbers blow up even further. In our latest webinar, Conor Twomey and Mark Palmer discussed the importance of trusting an analytics platform that can handle such large volumes of high-frequency data, with low-latency response, at scale. Watch the full session here: https://lnkd.in/ekA-nzNC
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Tick size is critical to the price formation and liquidity provision process, and rarely changes. But when it does, granular Level 3 data can shed light on the impact of tick size changes and what it means for market participants. Using Level 3 metrics, Arnaud Bossard, Senior Quant Analyst, BMLL, looks at EuroStoxx 50 tick size changes. He shows how high quality historical data and metrics can help market participants gain a deeper understanding as they consider best execution and market impact. Read the full article here: https://hubs.li/Q02vGgDF0
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Great insights from client BMLL on the impact of tick size changes and what it means for market participants.
Tick size is critical to the price formation and liquidity provision process, and rarely changes. But when it does, granular Level 3 data can shed light on the impact of tick size changes and what it means for market participants. Using Level 3 metrics, Arnaud Bossard, Senior Quant Analyst, BMLL, looks at EuroStoxx 50 tick size changes. He shows how high quality historical data and metrics can help market participants gain a deeper understanding as they consider best execution and market impact. Read the full article here: https://hubs.li/Q02vGgDF0
Tick Size: To Change Or Not To Change?
bmlltech.com
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Dear LinkedIn Network, I'm excited to share my end-of-year project titled "Currency Exchange Prediction: Approaches and Achievements." This project represents an incredible journey of exploring and implementing a comprehensive evaluation of diverse time-series prediction models for exchange rates, ranging from traditional methods like Markov chains to advanced techniques such as LSTM and CNN. Throughout this project, our primary goal was to predict central bank manual and interbank rates, alongside buy and sell predictions for banks and exchange offices, enhancing our understanding of financial market dynamics. Additionally, I developed a practical application for currency prediction and crafted a Power BI dashboard to visualize global exchange rates and historical buy-sell trends for financial institutions. Special thanks to my supervisor, Mr. Mahdi Louati, for his invaluable support and guidance. #CurrencyExchange #DataScience #MachineLearning #PowerBI #FinancialAnalysis #PredictiveModeling #DeepLearning
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Utilize the Global Events dataset to derive signals and support trading models across asset classes, trading styles, and frequencies. Take a look at our #DataViz to gain insights into earning calls, stakeholder meetings, expected earnings release dates, and more for your selected region and sector of interest! Get the viz here: https://ow.ly/mI7C50QjF4A
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📈 Traders, stay ahead of the curve with market analysis tools like Bloomberg Terminal for in-depth financial data, TradingView for chart analysis, and Robinhood for quick trades. Discover apps and techniques that can help you make informed decisions quickly. Share a trade where these tools gave you an edge! #WealthDynamics #TraderProfile #MarketTools #ProfileTest
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How To View The Historical Data Of Crypto On Yahoo Finance | Step By Step - Yahoo Finance Tutorial https://cstu.io/b28d33
How To View The Historical Data Of Crypto On Yahoo Finance | Step By Step - Yahoo Finance Tutorial
https://www.youtube.com/
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Our latest data visualization reveals the transaction trends across the top ten coins by market cap. What’s surprising? It underscores the popularity of meme coins and sheds light on networks that might not be as popular as they appear. Check it out! #CryptoInsights
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🚀 Excited to share my latest project! 🚀 I created a sentiment graph based on the Copom Minutes using #R. This project involved web scraping the BCB website with the help of the #jsonlite, #pdftools, and #magrittr packages. I then processed and analyzed the text from the minutes using #stringr, #tm, #tidytext, and #textdata packages. By employing the Loughran-McDonald dictionary from the #textdata package, I was able to develop a sentiment index for each meeting’s minutes. The results indicate a trend of increasing pessimism in the central bank's outlook since the 200th minute in July 2016. I want to extend my gratitude to Análise Macro for their outstanding contributions and for sharing their invaluable knowledge with us. Next up: applying this methodology to the FOMC minutes! #SentimentAnalysis #DataScience #RStats #CentralBank #EconomicAnalysis
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Are you curious about our crypto Market Data API? We've got just the thing for you - our comprehensive Market Data API guide! 📄 All you need to know about the real-time exchange rates, historical data, metrics, order book data levels; OHLCV data, quotes, and so much more in one place! 📈 Check out the link in the first comment below! 👇
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Fact: Did you know that the quality of your data can make or break your trading strategy? It's time to master the art of data sourcing! 🎯 Dive into the world of trading data with us! 🚀 Check out these sources and discover where the pros get their edge! 🤓💼 👉 Watch the complete video for insider insights on Stock Data, Fundamental Gems, Macro Magic, and more! 📺✨Check out now: https://bit.ly/3TOMcuE 🚀📊 Don't miss out! #AlgorithmMasters #TradingTips #DataWisdom #StockData #MacroEconomics #DataSources #TradingStrategies #Investing101 #FinancialNews #SentimentAnalysis #CryptoTrading #FXMarket #IndianOptions #LearnWithUs
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Head of AI Strategy at KX
2wA huge shout out to my partner in crime Mark Palmer for making our 'KX TV' debut such a fun experience! 🙌