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CoinRithm Editorial

Human + AI editorial content

CoinRithm Editorial is the organisational byline for CoinRithm’s educational guides and market explainers. Content is created by humans with AI assistance, using market data aggregated by CoinRithm and cited sources. CoinRithm is responsible for the published content.

Published articles

82

Latest article

October 7, 2026

Blog

CoinRithm Editorial identifies the organisation responsible for this content. Its profile lists the published guides and explains how human input, AI assistance and aggregated data are used. Individually credited contributions keep their own bylines.

ANALYSIS

Why an AI Agent's Abstentions Matter as Much as Its Trades

An AI agent that only shows you its trades is showing you a highlight reel. Why the decisions it skipped — abstentions, rejections, expired quotes — are the difference between an honest track record and survivorship bias.

11 min read
EDUCATION

How AI Agents Trade Prediction Markets

Why prediction markets are a natural fit for AI agents: probabilities as prices, hard resolution dates, and calibration as the real metric — plus how CoinRithm supports it in paper mUSD.

12 min read
EDUCATION

Is Kalshi Legal? State-by-State Guide (2026)

Kalshi is CFTC-regulated federally, but several states dispute its sports contracts in court. Here is the federal-vs-state split explained, state by state.

11 min read
ANALYSIS

Kalshi Alternatives: Sites Like Kalshi (2026)

Looking for Kalshi alternatives? Compare Polymarket, Limitless, Smarkets, Manifold, Metaculus, and PredictIt by regulation, currency, and market fit.

10 min read
TUTORIAL

The Free Cross-Venue Prediction Market Data API

A free, keyless JSON API for cross-venue prediction market data — Polymarket, Kalshi, and 5 more, one schema. Real endpoints, real responses, worked examples.

12 min read
EDUCATION

Can You Trust Prediction Market Settlement? A Framework

Is Polymarket or Kalshi resolution reliable? A five-part settlement-trust framework — who decides, what evidence, contestability, track record, counterparty risk — for any prediction market.

10 min read
EDUCATION

Prediction Market Volume & Open Interest, Explained

What prediction market volume, open interest, and liquidity actually mean, why cross-venue volume numbers are rarely apples-to-apples, and where to find the live, methodology-disclosed figures.

10 min read
TUTORIAL

Risk Caps and Guardrails for AI Trading Agents

How to engineer hard risk caps for an AI trading agent: position sizing, portfolio limits, loss controls, rate limits, sanity checks, and kill switches — enforced in code, not prompts.

9 min read
EDUCATION

What Is Agentic Trading? AI Agents That Trade, Explained

What agentic trading actually means: how an AI trading agent differs from a bot, the autonomy spectrum, the four parts every agent needs, and why paper trading is the honest way to test one.

13 min read