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29 Jul 2025
📊 Why Scaling Matters in Trading Models Before your model learns anything, scaling ensures that no feature dominates just because it has a larger numeric range. It’s a critical step in preprocessing financial data, especially in regression or distance-based models. Here are the key steps from a recent notebook on preparing gold price data for prediction models: ✅ Import the data - Using custom input parameters ✅ Check & drop NaN values - Clean dataset = reliable model ✅ Scale features - Standardise to avoid bias in regression ✅ Split into X & Y variables - Independent & dependent sets 💡 Why scaling matters: Without it, features with larger numeric ranges can overshadow others, reducing the model’s ability to learn balanced patterns. Details of the Python code are in the FREE preview of the course in Section 3, Unit 5: quantra.quantinsti.com/start… Are you someone who wants to apply AI in trading? Curious how GenAI, LLMs, and machine learning are changing the trading landscape? Then this conference is for YOU. 🎯 QuantInsti’s Algorithmic Trading Conference 2025 📅 Date: 23 September 2025 🕒 Time: 6:00 PM IST | 8:30 PM SGT | 8:30 AM EDT 💻 Free | Online | Global What’s happening? Workshop by Tucker Balch (Emory University) Explore real-world use of AI, LLMs & price data in trading strategies. See how AI models are predicting inter-stock relationships, with live Q&A! Topics include: How AI is transforming trading desks Emerging skills for quants GenAI's role in quant education What the future of finance looks like with AI 👥 Who should attend? - Aspiring Quants - Traders & Finance Professionals - Coders & ML Engineers - Students & Career Switchers 🎟️ Ready to see how AI is shaping the future of trading? 🔗 Register now - spots are limited! 👉 quantinsti.com/algorithmic-t… #AlgoTrading #AIinTrading #QuantConference #QuantFinance #GenAI #LLM #FinanceCareers #QuantLearning #QuantInsti #EPAT #MachineLearning #AlgorithmicTrading #DataScience #Python #FeatureEngineering #Quant #TradingModels #DataPreprocessing #Finance
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28 Jul 2025
📘Learn the Language of Data with the SQL QuickStart Guide Whether you're stepping into data analytics or refreshing your database skills, SQL is the backbone of working with data. This practical, hands-on guide walks through the essentials of manipulating, programming, and managing data with clarity and real-world examples—perfect for beginners and professionals alike. Check out the book here: 👉amazon.com/-/es/SQL-QuickSta…? 💡 Question for you: What’s one SQL command you can’t live without? Are you someone who wants to apply AI in trading? Curious how GenAI, LLMs, and machine learning are changing the trading landscape? Then this conference is for YOU. 🎯 QuantInsti’s Algorithmic Trading Conference 2025 📅 Date: 23 September, 2025 🕒 Time: 6:00 PM IST | 8:30 PM SGT | 8:30 AM EDT 💻 Free | Online | Global What’s happening? Workshop by Tucker Balch (Emory University) Explore real-world use of AI, LLMs & price data in trading strategies. See how AI models are predicting inter-stock relationships, with live Q&A! Topics include: How AI is transforming trading desks Emerging skills for quants GenAI's role in quant education What the future of finance looks like with AI 👥 Who should attend? - Aspiring Quants - Traders & Finance Professionals - Coders & ML Engineers - Students & Career Switchers 🎟️ Ready to see how AI is shaping the future of trading? 🔗 Register now - spots are limited! 👉 quantinsti.com/algorithmic-t… #AlgoTrading #AIinTrading #QuantConference #QuantFinance #GenAI #LLM #FinanceCareers #QuantLearning #QuantInsti #EPAT #SQL #DataAnalytics #Database #Learning #Programming #TechSkills #DataScience #Upskill #CareerDevelopment #Books
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26 Jul 2025
Building machine learning models is just one part of the journey... Understanding them is the real challenge. Shapash is a Python library that brings transparency to machine learning by making model predictions understandable for everyone technical or not. 🛠️ Key Features of Shapash: - Generates a WebApp for navigating global and local explainability - Makes predictions easily interpretable with clear visualizations and labels - Supports regression, binary, and multiclass classification - Compatible with CatBoost, XGBoost, LightGBM, Scikit-learn, Linear Models, SVMs - Helps summarize and export local explanations - Offers metrics to evaluate the quality of explanations - Allows filtering subsets (correct/wrong predictions, feature values) for deeper analysis - Can be deployed via API or in batch mode for production use 🔍 Whether you're working on risk models, customer churn, or trading strategies if your ML model makes decisions, Shapash can help you explain why. GitHub: github.com/MAIF/shapash?tab=… Worth checking out if interpretability matters in your work. Are you someone who wants to apply AI in trading? Curious how GenAI, LLMs, and machine learning are changing the trading landscape? Then this conference is for YOU. 🎯 QuantInsti’s Algorithmic Trading Conference 2025 📅 Date: 23 September, 2025 🕒 Time: 6:00 PM IST | 8:30 PM SGT | 8:30 AM EDT 💻 Free | Online | Global What’s happening? Workshop by Tucker Balch (Emory University) Explore real-world use of AI, LLMs & price data in trading strategies. See how AI models are predicting inter-stock relationships, with live Q&A! Topics include: - How AI is transforming trading desks - Emerging skills for quants - GenAI's role in quant education - What the future of finance looks like with AI 👥 Who should attend? - Aspiring Quants - Traders & Finance Professionals - Coders & ML Engineers - Students & Career Switchers 🎟️ Ready to see how AI is shaping the future of trading? 🔗 Register now - spots are limited! 👉 quantinsti.com/algorithmic-t… #AlgoTrading #AIinTrading #QuantConference #QuantFinance #GenAI #LLM #FinanceCareers #QuantLearning #QuantInsti #EPAT #MachineLearning #ExplainableAI #MLInterpretability #XAI #Shapash #QuantFinance #AITransparency #PythonML #QuantInsti #MLTools
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#QuantConference 2022, with @UBS and @ImperialBiz hubs.ly/Q01vmmNj0 @imperialcollege students are invited to join the 5th conference in person, with Imperial Business Partners members UBS, this Friday (16 December). 9:00-12:00 GMT

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#QuantConference 2022, with @UBS and @ImperialBiz hubs.ly/Q01vmlMN0 @imperialcollege students are invited to join the 5th conference in person, with Imperial Business Partners members UBS, next Friday (16 December). 9:00-12:00 GMT

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The Quant Insights Conference is back this October for its 8th event. Register now: bit.ly/3s7gnO8 #Fitch #quantfinance #CQF #quantconference #quantinsights
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22 Feb 2019
Great speech by .@NikhilVadgama during the first day of #quantconference in #venice #crypto #blockchain #innovation #uclcbt
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22 Feb 2019
"It is not necessary to change. Survival is not mandatory" Inspiring talk from prof #komiega on changing and learning to manage robots! #fintech #ArtificialIntelligence #quantvenice #quantconference #Robot
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Are you still in India? I thought you be at Charles de Gaulle in #Paris by now. Profitez de la conference text de l’eiffel. #quantconference
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We're excited to attend this year's Quant Conference in London! Don't be shy and look out for our Associate, Greg Ingledew. Looking forward to seeing you there! #fintech #ultralowlatency #tradingsoftware #quantconference
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2 Mar 2018
@DIAMANscf given birth to @PhiToken: in these days in Venice the QuantConference and the DiamanAwards taken place to motivate and recognize the best asset managers of the moment! The power of gamification is the goal of #PHIPlatform.

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6 Dec 2016
#QuantConference is on #Linkedin #join our official professional network linkedin.com/company/home?tr…
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5 Dec 2016
Saeed Amen from #Cuemacro is #guestspeaker at the next #quantconference in #Venice quant.it
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31 Mar 2016
Sali sul podio, diventa speaker alla #quantconference invia il tuo #paper quant.it @Finanzaoperativ
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Vi Presento #Quanty, il Robo-Advisor targato Diaman-Invest Banca #quantconference

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Filosofica, si punta ad un rendimento costante con entrambe ma i modelli sottostanti sono diversi #quantconference

Replying to @bazzomarco
@danieleDIAMAN c'è comunque una relazione tra Return parity e target strategy?
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