Trade Intel
Evidence-backed trading automation with approval gates
Trade Intel launched on May 26, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
Trade Intel is Oakhampton AI's evidence-backed trading automation platform for strategy setup, signal monitoring, staged approvals, broker and exchange connector workflows, and optional OpenClaw command access.
Trade Intel is a dashboard for building strategies, testing evidence, monitoring signals and approving trade tickets before they move into customer-owned broker, exchange or venue workflows. OpenClaw adds a Telegram command layer for users who want assistant-driven access. A customer defines the rule, checks the evidence, monitors the signal and approves the staged ticket before anything moves to a connected account workflow. Bring a rule, use an AI-generated candidate or start from a tested template. Review rolling tests, weak periods, costs, caveats and promotion gates before use. Watch live rules, alerts and strategy conditions from the dashboard and connected data lanes. Review the…from trading.oakhampton.ai
Does a similar job
all alternatives →
Marketmind2025 · trade-news-ai-brief.vercel.app · ▲12Trade Smarter, Not Harder – AI Does the Reading for You!


- RAResearchfin.ai – AI Scanner for Stock Trading Setups2021 · researchfin.ai · ▲15

More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com