Real-Time Crypto Forecasting Prediction Pipeline
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Updated
Jun 14, 2025 - Python
Real-Time Crypto Forecasting Prediction Pipeline
An example of a Kappa architecture solution for transaction fraud detection using Apache Kafka and Python
Real time streaming lakehouse for crypto market microstructure: Redpanda, Quix Streams, dbt, Apache Iceberg, DuckDB and Streamlit. Runs locally with one command, no API keys, no cloud.
Real-time support ticket pipeline using Redpanda, Quix-Streams, DuckDB, and an AI agent — ask questions about your streaming data in natural language.
Apache Kafka Streamlit application for real-time tracking of pharmacy sales using the start schema data model.
A real-time crypto market-surveillance pipeline whose analyst model structurally cannot state a number it has not verified. Kraken spot feed, online anomaly detection, explanations checked by a deterministic verifier.
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