Trade Share is the feature that turns a private trade row into a public read-only URL. From the trade-detail modal you click Share, configure two privacy controls, and the platform generates a `tradeonyx.io/t/<8-char-slug>` URL. Anyone with the link sees a static page rendering the trade — no auth wall, no log-in prompt. Render is also Open Graph-aware: Discord, X, WhatsApp etc. embed a custom-rendered OG image showing the trade as a clean card.
The two privacy controls: - P&L mode — show absolute P&L ("+€420"), or percent ("+1.6R" / "+0.42% of capital"). Most traders pick percent in public to avoid disclosing capital size. - Expose volume — show the position size in lots, or hide it. Hiding volume + percent P&L makes the share fully privacy-safe for public posting.
Views are counted per share. The trade-detail modal shows a tiny "123 views" badge on shares you've made. Revoke the share anytime; the URL becomes a 404 instantly, and re-sharing creates a new slug.
When sharing helps + when it bites: - Educational use — a clean trade you executed well, shared in a community context, gets feedback faster than a screenshot. The OG card shows the trade in a way the recipient parses in 2 seconds. - Discord / X embeds — the auto-generated OG image is the read; most recipients won't click through. That's fine for sharing the gist ("this is what I did"); not fine if you wanted them to read your reasoning. - Public post + percent P&L + volume hidden — the safest config for any public surface. Privacy controls were designed for this scenario. - Sharing losses can be more credible than sharing wins — a community that only sees your wins concludes you're either lucky or selectively sharing. Trade Share lets you publish the loss with the same polish. - Don't share before review is complete — sharing forces a quality bar, but only if you've actually done the post-mortem. Sharing a half-reviewed trade and getting feedback before you've formed your own thesis is the inverse of what the feature is for.
TradeOnyx's Trade Share is built around a single design constraint: the recipient never has to log in. That removes the friction that keeps most journal-app shares from spreading; if your buddy has to sign up to see the trade, they don't see the trade.
The OG-card render is server-side: backend generates a PNG using the trade's data + the brand template, embeds it in the share page's `<head>` with the right Open Graph meta tags. When you paste the URL into Discord, the embed engine fetches the OG image, never touches your account. Privacy controls are baked into the OG image — if you set P&L mode = percent, the OG image shows percent.
The pairing with the journal: a publicly-shared trade that includes a journal-entry reference (excerpt of the review notes, your call) reads as both verdict and reasoning. Most traders who use Trade Share regularly settle on the pattern: share the OG card on social, link the deeper journal entry only with the people who ask for it. The platform supports both; you choose.