Topic 1: MongoDB Vector Search Use Cases

- 🏦 Kronos Research (Taipei)

💳 Trades billions of dollars in cryptocurrency
📊 Analyzes and improves algorithmic models
🚀 Quantitative research for high-frequency cryptocurrency trading (HFT)
🤖 Computer programs to transact high volumes of orders in seconds
🌍 Analyzes multiple markets and executes orders
🔗 Derivatives trading
🤖 Machine learning/AI models trained on large volumes of proprietary market data
🔍 Identifies profitable and repeatable market phenomena
🛡️ Extensive operations suite to control risk and prevent trading errors
🔬 Ensures correct behavior even during severe market turbulence

Prediction Intelligence: 🔮

🏢 Data centers as close as possible to actual exchanges to limit latency
🌩️ Crypto exchanges are natively in the cloud, allowing high-frequency traders to be physically located close to the exchanges

Data Format Flexibility: 📂

🗃️ Data are not structurally rigid, like market data (bid and ask prices, trades)
🤖 Bots might have 20 configurations or key-value pairs, while others have only 6
💾 Efficiently store data and analyze how configurations change over time, and how data is updated and selected

Atlas Data Federation: 📊

Highlight: 💡

'🤔 On a given day, what's the distribution of profit and loss results across the different configurations?'

Topic 2: MongoDB and Machine Learning

MongoDB Machine Learning Capabilities: 📊

MongoDB Machine Learning Use Cases: 🚀

ACID-Compliant Transactions in MongoDB: 💹
Challenges Solved:

🔍 Separate queries to retrieve live and archival data across systems, and merging the results - a pain for developers.
🔒 Maintaining transactional data integrity between different parties, requiring all-or-nothing execution for multi-document transactions.

ACID-Compliant Examples:

💳 Bank - Transfer of funds between accounts, payment processing, trading platforms, updating the "System of Record" and real-time dashboards.
🏥 Healthcare - Ensuring patient records are updated accurately and up-to-date, preventing data anomalies.
🏪 Inventory Management - Orders are atomic, payment transactions are secure and accurate, updating available inventory.

Cost-Saving Feature: 💰
Online Archive:

🗂️ Optimize costs while keeping data accessible
📂 Custom rules to automatically archive infrequently accessed data to cloud object storage
🔍 Retain the ability to query archived data through a single endpoint

Reference:

https://www.mongodb.com/solutions/customer-case-studies/kronos
MongoDB Atlas Charts Enables Kronos to Trade Billions on Crypto Markets Every Day

https://www.mongodb.com/products/platform/atlas-online-archive
Online Archive. Tier your MongoDB Atlas data, query it in place.

Editor

Danny Chan, specialty of FSI and Serverless

Kenny Chan, specialty of FSI and Machine Learning

🌐 MongoDB in the Financial Industry: Vector Search and ACID-Compliant Transactions 💰