9 articles
A Reddit algo trader asked how to tell a pullback from a reversal in real time. The answer isn't an indicator. It's a flow classifier that checks whether a price move was caused by one noise trade or a sequence of informed trades. Here's the mechanism, the code, and a worked example.
July 8, 2026A perp DEX is not one product — it's three different architectures wearing the same name. Orderbook (Hyperliquid, dYdX), oracle-priced (GMX, Jupiter), and RFQ (Symmio) models each carry distinct liquidation and pricing risks that most traders discover only after getting force-closed.
July 7, 2026A practical breakdown of LLM-driven options trading on the Indian market using Zerodha Kite, DeepSeek, and Python. Costs, architecture, strategy evolution, and where full autonomy breaks.
June 11, 2026Step-by-step implementation of a basic order book in C++ with order matching, buy/sell queues, and real-time market depth. Foundation for building trading system infrastructure.
May 7, 2026We benchmark latency from EC2 in Tokyo and US East 1 to AWS and GCP Europe endpoints using TCP/TLS timing. From AWS US East 1, connect time to AWS Europe is ~74–104 ms and to GCP Europe ~87–99 ms. From Tokyo to the same endpoints it is ~216–225 ms (AWS) and ~248–262 ms (GCP). Same provider is lower than cross-provider. Here's the methodology and how to run the script yourself.
May 7, 2026Diagnosing Kafka consumer connection failures in Java caused by IPv6/IPv4 dual-stack networking conflicts. Covers cryptic authentication errors, Maven dependency resolution bugs, and systematic fixes.
May 7, 2026Most crypto ML models fail before training ends. Here are the six mistakes killing model performance: raw inputs, wrong architectures, bad targets, and more.
May 7, 2026Building an advanced order execution engine in C++ that simulates EVM-based trading, with order matching, fill prices, gas cost tracking, and slippage metrics — critical for evaluating trading performance.
May 7, 2026Everyone says Python is too slow for trading. We benchmarked pure Python vs NumPy vs Pandas on 1M rows, then compared the results to actual on-chain block times. The answer depends entirely on which chain you're trading.
May 7, 2026