Market intelligence / Issue 001
21.08.2026
Onchain.
Off emotion.
Field notes for people who want to understand automated crypto trading before trusting it with capital.
We investigate the machinery behind signals, bots, algorithms and agents—then separate executable evidence from a persuasive dashboard.
Start with the field guidesThe first six files
Understand the system before choosing the product.
Each guide explains a distinct part of the system and links to the next decision a reader needs to make.
Trading bots
A practical map of signals, APIs, custody, execution, costs and failure controls—without the automatic-profit mythology.
AI for trading
A category guide to analysis systems, signal services, execution bots, assistants, autonomous agents and managed products.
Automated systems
The complete operating loop: data, models, sizing, policy, execution, monitoring and recovery.
Crypto algo trading
How spot and perpetual algorithms move from a research idea to live orders—and where the backtest usually lies.
Futures trading bots
A risk-first explanation of perpetuals, margin, funding, basis and the controls an automated futures system needs.
Arbitrage bots
Price, triangular, basis and funding-rate arbitrage—measured after fees, slippage, latency and failed execution.
Our operating thesis
04
- 01
A backtest is a research artifact, not a live return.
- 02
Automation removes keystrokes. It does not remove market risk.
- 03
A cryptographic proof can verify a defined claim—not profitability itself.
- 04
The real edge is what remains after fees, slippage and failed execution.
No black box worship
If a claim cannot survive its dates, costs, benchmark, limitations and ownership disclosure, it is not ready for publication.