Blockhouse

The recent FOMC meeting on June 12, 2024, following the Fed’s announcement, caused the S&P 500 to increase by 0.9% that day, and the Nasdaq to increase by 1.5%. The market responded to the Federal Reserve's decision to maintain the current policy rate while signaling the possibility of only one rate cut later in the year. Are you prepared to navigate these events to your advantage? At Blockhouse, we've decoded how to trade several inflation-linked stocks after FOMC meetings using machine learning. Learn how to leverage AI to minimize transaction costs and gain a competitive edge during market turbulence. Discover specific algorithms and strategies that can cut your trading costs by up to 55%. This isn't just theory—our analysis is backed by concrete data and real-world results. Get ahead with insights that turn FOMC-induced volatility into trading opportunities. Curious how? Read our full analysis here: https://lnkd.in/g_wuFxwt Equip yourself with the tools and knowledge to navigate your portfolio adjustments during the next FOMC meeting with confidence. Don't just survive the volatility—thrive in it. #FOMC #MachineLearning #StockTrading #AI #TradingStrategy #BlockhouseAI #FinancialMarkets #TradingInsights

As we mark over a year since Marco Macchiavelli joined us as an advisor at Blockhouse, we're thrilled to highlight the immense impact he's had on our journey. Leveraging his extensive experience, Marco has been instrumental in making strategic introductions that have propelled our growth. His deep insights into equity microstructure have enriched our analytics, driving enhancements in our platform that benefit both buy-side and sell-side institutions. Marco's guidance in navigating complex financial research challenges has strengthened our collaborations with leading research initiatives, solidifying our foundation in data-driven financial solutions. We are incredibly fortunate to have him on our team, where his expertise continues to generate substantial value. Thank you, Marco, for your commitment and contributions. Here’s to more milestones together at Blockhouse!

Copy Trade Politicians to Profits! 🤑 📈💡 Ever wondered how some politicians consistently win big in the stock market? It's not just luck—it's a proven strategy you can leverage too! 🚀 In our latest blog, we reveal how you can mirror the lucrative trades of top politicians, like Nancy Pelosi, and significantly boost your returns. By combining this insider approach with cutting-edge trading strategies, you can dominate the market like a pro. Key Insights: 📊 Uncover how the STOCK Act disclosures can be your ultimate trading advantage. ⏱️ Master the optimal timing to enter and exit trades for maximum profits. 🏆 Learn how advanced execution strategies to backrun politicians, giving you an edge even over their trades. We dive deep into analyzing Nancy Pelosi's trading patterns, demonstrating how our sophisticated techniques allow you to capitalize on her market moves and secure even higher returns. Ready to elevate your trading game? Read the full blog here: https://lnkd.in/gNcq5iyM Let's transform public data into substantial private gains! 💰🔍 #Fintech #QuantitativeTrading #MachineLearning #TradingStrategies #FinancialMarkets

📉 Are you an ETF manager grappling with the complexities of rebalancing costs, or an ETF trader looking to optimize your portfolio's efficiency? 🖥️ The Technology Select Sector SPDR Fund (XLK) recently rebalanced by buying $10 billion of NVIDIA and $11 billion of Apple, leading to heightened market volatility and substantial transaction costs. 💰 For ETF managers, understanding and effectively managing these rebalancing costs is crucial, as they can substantially erode potential returns if not properly addressed. 📊 In our latest post, "Transform ETF Rebalancing: Proven Strategies to Optimize Costs and Enhance Fund Efficiency," we delve into advanced techniques to forecast and minimize transaction costs during rebalancing. We employ state-of-the-art forecasting models and precise slippage calculations, and provide actionable insights to execute trades more efficiently and enhance overall fund performance. You will learn: ✅ How to predict market conditions and slippage through advanced models. ✅ Optimal strategies for timing trades to reduce market impact and bid-ask spread costs. ✅ Practical applications of models to recent rebalancing events to demonstrate cost savings. 📈 Whether you're an asset manager aiming to enhance fund efficiency or a trader looking to reduce transaction costs, this article offers valuable strategies for ETF managers to navigate rebalancing with sophisticated forecasting and trading strategies, to significantly improve their fund’s efficiency and deliver better returns to investors. 🔓 Read the full article now and unlock tailored insights for your ETF rebalancing strategies! Link below ⬇️ https://lnkd.in/gKNEJT8W

Tons of Alpha was shared at Columbia University's Workshop on Financial Technology and Data Sciences, organized by Agostino Capponi. Blockhouse had the opportunity to present our novel approach of using specialized transformer architectures to minimize transaction costs and optimize trade execution. We demonstrate the key benefits of of our model, including: ✔ Enhanced Temporal Pattern Recognition. ✔ Dynamic Feature Selection. ✔ Multi-Horizon Forecasting. ✔ Interpretability. ✔ Robustness and Flexibility. We also benchmark our method against traditional ML and RL techniques, demonstrating significant improvements in prediction accuracy, execution quality, and adaptability. Our transformer-based TCA models can lead to substantial cost savings and an increased competitive edge in financial markets. For those interested in diving deeper into our findings or exploring collaborative opportunities, feel free to connect with us. #Fintech #QuantitativeTrading #MachineLearning #AI #DataScience

📉 Did You Trade NVIDIA After the Stock Split? Here's How You Lost Money! NVIDIA announced its 10-for-1 stock split two weeks ago, sending the financial landscape buzzing with activity. The heightened trading activity resulted in an increase in volatility and market impact of all trades. During these periods, traders faced the highest risk of slippage costs - which ate away at their returns. 💰 While Nvidia's stock split caught the eye of many, only the astute knew how to leverage it effectively. Here’s the million-dollar question: in such volatility, how do you devise a trading strategy that minimizes your slippage, while enhancing your returns? 📊 In our latest blog, "Mastering NVIDIA Trades: Minimizing Transaction Costs for Maximum Returns," we unpack the often-overlooked costs that can erode your profits. Employing a rigorous stochastic process approach, this article illuminates how strategic timing and order sizes can dramatically reduce trading expenses and increase returns. You will learn: ✅ Strategic order splitting to minimize market impact ✅ Optimal timing for placing larger trades to capture the best entry points ✅ Proven strategies that surpass simple tactics and VWAP 📈 Whether you’re a retail trader aiming to enhance returns or an institutional investor determined to exploit market dynamics, this article delivers essential insights that empower you to trade NVIDIA with sophistication and achieve superior profits. 🔓 Read the full article now and harness tailored alpha for your NVIDIA trades! Link below ⬇️ https://lnkd.in/gEbVxDJv #NVIDIA #StockSplit #TradingTips #WallStreetBets #Finance #Investing #Trading #Stocks #Options #Volatility #TransactionCosts #PnL #Alpha

Say goodbye to month long trade reporting and compliance cycles filled with buggy Macros and Pivot tables. Generate custom execution reports and flag trades in SECONDS with the Blockhouse AI assistant. Check out our live demo at www.blockhouse.app Introducing AI trade compliance assistants for fixed income, crypto, and equities that ingests your existing trade reports and generates Word, PDF, Excel, visual charts, and custom reports to your operations. Our software also flags trades based on your bestEX and fraud prevention requirements, all in natural language. Let’s say you want to examine a specific trader’s record and understand how closely / if they are hitting the firm’s best execution standards in real time. You also want to be able to generate robust reports with charts to demonstrate ongoing compliance with all trade regulations. You can ask our AI compliance assistant the following questions and receive immediate responses: 1. Find similar security trades in the market and compare my trader’s execution to the market as a whole. Please generate a side by side execution bar chart to display this 2. Could the trader have achieved a better execution outcome if they traded with X trading desk instead of Y? 3. Based on our firm’s reference price models, can you flag all the trades in the last quarter that did not meet BestEx requirements? 4. (Once you feed your firm’s compliance report into our chatbot) Please auto-generate a sample execution report for this quarter based on the template I have provided for last quarter Our goal is to empower you as a compliance officer to monitor trades and easily generate reports with NO EXCEL OR CODE. We deliver better results for you so you can focus on maintaining your firm’s reputation. We’re constantly looking for new ways to apply this tech to your use cases, if you’re interested in trying a live beta of our product please email accounts@blockhouse.capital and in the meantime, check out our live demo at www.blockhouse.app #AIinFinance #Tradetech #Fintech #FixedIncome #Crypto #Equities #TradeAnalytics #Compliance #AICompliance #RIA #Brokers

Introducing AI powered trade analytics for fixed income, crypto, and equities that can reduce your transaction costs by almost 50%. That’s right, reduce your costs by almost HALF or you get your money back. Check out our live demo at www.blockhouse.app For the next few weeks we’ll be diving into use cases for transformer based data analysis tools, or AI trading assistants. These assistants can perform a range of tasks, but this post we’ll be focusing on how an independent RIA or broker would use our software for risk management and trade planning. Let’s say your you need to purchase $50M additional JP Morgan IG bonds for a client. You purchased $26M yesterday in a portfolio trade, and are looking to purchase another $24M. You want to prove to your clients that you can provide them an edge on the market and give them the best execution possible, preserving the returns of their portfolio. You can ask our AI trading assistant the following questions and receive immediate responses: 1. What was my average trading cost per security for my portfolio trade yesterday, and how do they compare to transactions with similar securities in the market? 2. If I had executed my trade with X trading desk instead of Y trading desk, would I have gotten a better price? 3. For my next set of transactions, what time, size, and counterparty should I execute my portfolio trade with to get the best price? And more Our goal is to empower you as the broker to conduct quantitative trading analysis with NO CODE. If you can prove that you provide better execution using technology, this could be a major selling point to attract new clients. We’re constantly looking for new ways to apply this tech to your use cases, if you’re interested in trying a live beta of our product please email accounts@blockhouse.capital and try out our live demo at www.blockhouse.app #AIinFinance #Tradetech #Fintech #FixedIncome #Crypto #Equities #TradeAnalytics #MachineLearning

Introducing AI powered trade analytics for fixed income, crypto, and equities that can reduce your transaction costs by almost 50%. That’s right, reduce your costs by almost HALF or you get your money back. Check out our live demo at www.blockhouse.app For the next few weeks we’ll be diving into use cases for transformer based data analysis tools, or AI trading assistants. These assistants can perform a range of tasks, but this post we’ll be focusing on how an independent RIA or broker would use our software for risk management and trade planning. Let’s say your you need to purchase $50M additional JP Morgan IG bonds for a client. You purchased $26M yesterday in a portfolio trade, and are looking to purchase another $24M. You want to prove to your clients that you can provide them an edge on the market and give them the best execution possible, preserving the returns of their portfolio. You can ask our AI trading assistant the following questions and receive immediate responses: 1. What was my average trading cost per security for my portfolio trade yesterday, and how do they compare to transactions with similar securities in the market? 2. If I had executed my trade with X trading desk instead of Y trading desk, would I have gotten a better price? 3. For my next set of transactions, what time, size, and counterparty should I execute my portfolio trade with to get the best price? And more Our goal is to empower you as the broker to conduct quantitative trading analysis with NO CODE. If you can prove that you provide better execution using technology, this could be a major selling point to attract new clients. We’re constantly looking for new ways to apply this tech to your use cases, if you’re interested in trying a live beta of our product please email accounts@blockhouse.capital and try out our live demo at www.blockhouse.app #AIinFinance #Tradetech #Fintech #FixedIncome #Crypto #Equities #TradeAnalytics #MachineLearning

🔐Breaking Free from Data Shackles: Unleashing Your Firm’s True Potential Front office, middle office, and back office. Excel files, Powerpoints, APIs, databases, and more. Financial institutions have mountains of data all stored in different places by different teams, making the process of sharing information and automating workflows extremely difficult and manual. This issue is known as data siloing, and in this post we dive into its causes, unpack its impacts, and explore strategies to alleviate this issue. 👨🏻🌾 Understanding the Roots of Data Siloes: Legacy systems of recording data, like Excel, often lack the ability to perform real-time data syncing and API support, standing as a significant contributor to data siloes. A Capgemini survey revealed that 95% of banks grapple with growth challenges due to the inaccessibility of data residing in legacy systems. Additionally, data incompatibility, manual processes, lack of governance, and the high complexity and cost of managing these siloes compound the issue. 🔄Unpacking the Impacts of Data Siloes: These isolated data pockets impact various facets of financial institution operations. Customer experience takes a hit as data siloes hinder a comprehensive view of customers, introducing friction and frustration in their journey. Risk management faces obstacles, limiting the identification and mitigation of diverse risks and impeding compliance. Moreover, operational efficiency suffers, resulting in increased time and cost for data and analytics processes. According to reports by McKinsey and BCG, financial institutions adopting data unification strategies can potentially reduce operational costs from 40 - 80%. 💡Strategies for Overcoming Data Siloes: To break free from these constrictions, financial institutions can adopt strategic approaches: 1) Data Unification: By integrating data from various sources together, financial institutions can create a unified source of truth and a common logic layer for data and analytics. This not only fosters collaboration but also empowers automation and AI/ML workflows, driving streamlined operations, enhanced customer experiences, and a competitive edge in the industry. 2) Data Migration: The process of transferring data from legacy systems to modern platforms, such as cloud, on-premises, or hybrid, holds the potential to improve data performance, scalability, and security. It opens doors to new capabilities like real-time data syncing, API support, and microservices architecture. 🔮Stay tuned for further insights into overcoming data challenges in the ever-evolving landscape of finance! 👉 #DataManagement #FinancialInnovation #BreakingDataSiloes