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GEX Horizon
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GEX Horizon is a free, real-time Gamma Exposure (GEX) analytics platform for options traders who need to see where dealers are positioned โ and what they'll be forced to do next.
Unlike legacy GEX tools that refresh daily, GEX Horizon delivers sub-second WebSocket streaming of net gamma exposure across SPX, SPY, QQQ, NDX, and equities (NVDA, TSLA, AAPL, MSFT, IWM).
When market makers are long gamma, they trade against the trend โ buying dips, selling rallies โ suppressing volatility. When short gamma, they chase momentum โ buying highs, selling lows โ accelerating moves. Knowing which regime you're in is the most actionable market structure data available.
| Tier | What You Get |
|---|---|
| Free | Real-time GEX, call/put walls, zero gamma flip for SPX, SPY, QQQ |
| Pro | Tick-level data, vanna, volume-profile GEX, more underlyings |
| Institutional | Full API, custom underlyings, bulk exports, dedicated support |
See the flow. Anticipate the hedge. Trade the structure.
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GEX Horizon's answer:
GEX Horizon is the only free platform that delivers real-time, sub-second gamma exposure data via WebSocket streaming. Most GEX tools update once daily โ we update with every options trade. Key differentiators:
GEX Horizon's answer:
GEX Horizon's answer:
GEX Horizon's answer:
GEX Horizon was built out of frustration with the status quo in options analytics. Institutional traders have always had access to real-time gamma exposure data โ it's fundamental to understanding market maker behavior and intraday volatility regimes. Yet the tools available to most traders were either:
We believed that every trader deserves to see where the dealers are positioned โ in real-time, without a paywall. So we built the WebSocket infrastructure, the real-time GEX computation engine, and the intuitive dashboards that make institutional-grade options market microstructure data accessible to everyone. The result is GEX Horizon โ free, real-time, and built for the traders who need it most.
Based on our record, GitHub seems to be more popular. It has been mentiond 2474 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 10 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 10 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 10 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 20 days ago
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