{"assessments":[],"deployments":[],"fuzz":[],"identity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"interpretation":"Records acceptance and evidence. Neither completion nor an AI assessment establishes correctness, safety, or independent review.","jobId":"993bb23b-ec6f-487a-a5cd-9c8470b1de6a","kind":"skill:build-website","nodes":[{"acceptedSubmissionHash":"6ac60ed47ce9ccbb7eca2209c30194670a746eac3a16c8c5c6a23eabbf48f8aa","dependsOn":[],"execution":{"mustProduce":["dist/index.html"],"network":true,"optionalTools":["browser"],"profile":"none","requires":["network"],"skillHash":"fd6f55db4fafb257d4f31f207e5f234e3b9181141e56bdd273f6c130e64c2d8e","skillId":"build-website","tools":[]},"key":"build_website","kind":"code","role":"implement","skillHash":"fd6f55db4fafb257d4f31f207e5f234e3b9181141e56bdd273f6c130e64c2d8e","skillId":"build-website","state":"accepted"},{"acceptedSubmissionHash":"131e4b7a62ddfa23d55dac0ab7bb2f9edba4753be04acdda2fae69d311f8e4a5","dependsOn":["build_website"],"execution":{"network":true,"optionalTools":["browser"],"profile":"none","requires":["network"],"skillHash":"4a5e9fb083a47bea78572ce4262f6ed18e7af57736a86ec2bbb7d17a8c72c62e","skillId":"design-critic","tools":[]},"key":"design_critic","kind":"code","role":"review","skillHash":"4a5e9fb083a47bea78572ce4262f6ed18e7af57736a86ec2bbb7d17a8c72c62e","skillId":"design-critic","state":"accepted"}],"objective":"[SIMD-CHAT]\nBuild a custom intraday crypto trading web app replicating the Jev-X Sentiment Analysis GitHub repo's tech stack, extended with these advanced capabilities: 1) Real-time aggregation of sentiment data from social media, news, and on-chain sources; 2) User-configurable sentiment-based trading signals with threshold settings; 3) Support for manual and automated trade execution integration with major crypto exchanges via APIs; 4) Interactive advanced charting including VWAP, RSI, MACD, volume overlays, and sentiment overlays; 5) Risk management tools such as stop-loss recommendations and position size calculators; 6) Historical data analysis and backtesting environment for user-defined strategies based on sentiment and technical indicators; 7) Real-time alerts via desktop and mobile notifications for signal triggers and trade events; 8) Clean, responsive, user-friendly interface suitable for a professional quant desk; 9) Include documentation covering setup, usage, and customization guidance; 10) App limited to single user (your personal use). Write all app text and documentation in English.","parentJobId":null,"planHash":"08b5aa9113753e9a914e124c9c5fda42b45c342b4a734933bde38698d975c710","previousHash":"3903823159932ef0868e07a49f86353ecb5ee5d9dc85a4a2432c3627582b3ef5","projectId":"993bb23b-ec6f-487a-a5cd-9c8470b1de6a","publication":{"commit":"d7a84f54b22f7512150557a7ab08334606dc3f41","deliveredAt":"2026-10-11T05:40:50.660Z","repoUrl":"https://github.com/identity-md-launches/launch-1279-simd-chat-build-custom-intraday"},"receiptIdentity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"registry":"0xb6d0a187b050fa5bb0b87033a203f37becf4a775","research":[],"schema":"identitymd-work-v1","signals":[],"site":{"cid":"bafybeia4f44sdzuorx5jtiyiaqdiljz5uevine7yjxqv6cjgrjotdsml5m","ensName":"sentra-your-sentiment-trading-de.site.identitymd.eth","namingTransaction":"0xbd9bd9aaafb53fcafe64b15217be7b768f7a982c7c6db9daa932a330eee21698"},"snapshotHash":"8c1957456cfec627459773c925060c2ceee915084fc6ed77ef363ae26d4d3a5b","state":"completed","submissions":[{"artifacts":[],"attempt":1,"bundleHash":null,"device":"29393b39cd68a88a","findings":[],"hash":"131e4b7a62ddfa23d55dac0ab7bb2f9edba4753be04acdda2fae69d311f8e4a5","nodeId":"ef202410-0f29-4050-87f7-a0e86dede4ea","outcome":"completed","summary":"| Area | Previous review supplied | This review |\n|---|---|---|\n| Requirements | 1 missing; totals not supplied | 13 met · 0 missing · 0 faked |\n| Broken features | 4 | 0 |\n| Product and action on first screen, 390px | Not supplied | Yes |\n| taste@1 | Total not supplied | 15/16 passed |\n| Copy findings | 1 | 0 |\n| Share card | Not supplied | Present; 5/5 metadata checks |\n\nAll six previous findings are fixed. No new reproducible defects were found. [.imd-findings.json](.imd-findings.json) contains `{\"findings\":[]}`. App files remain unchanged.\n\n| Previous finding | Resolution and evidence |\n|---|---|\n| **fidelity: missing template and settings layers** | Fixed. `service/main.py:315` renders through Jinja2; `service/config.py:9` uses Pydantic Settings and UTF-8 dotenv loading. All 16 service tests pass. At 1440×900, the Jinja-served interface loaded its assets, created a signal, and completed a paper order. These layers match the upstream [renderer](https://raw.githubusercontent.com/brainstormity/Jev-X-Sentiment-Analysis/main/app/main.py) and [settings](https://raw.githubusercontent.com/brainstormity/Jev-X-Sentiment-Analysis/main/app/core/config.py). |\n| **bug: VWAP hides the RSI condition** | Fixed in Chromium and WebKit. At 390×844, creating the threshold-0, RSI-0, VWAP-enabled rule shows “Sentiment ≥ 0 · RSI ≤ 0 · Price above VWAP” in both card variants. Editing preserves both settings. |\n| **bug: missing sentiment suppresses recorded points** | Fixed in both browsers. At 390×844, the 180-candle fixture with 170 null values renders one path containing all ten observations. Separated observations render two paths and one isolated point. An empty range displays the requested explanation. |\n| **bug: Portfolio export clips at 320px** | Fixed in both browsers. At 320×844, Export CSV wraps below the tabs, measures approximately 114×32px, and has **0px clipping**. Clicking downloads `sentra-paper-trades.csv`. |\n| **bug: historical candles lack dates** | Fixed in both browsers. At 1440×900, selecting 24 four-hour candles produces dated axes; keyboard inspection shows `2026-10-11 10:30 UTC`; all 15 table rows include full UTC dates. Single-day axes retain clock labels. |\n| **taste: promotional workspace subtitles** | Fixed. All six specified subtitles match the requested task guidance, and the sidebar slogan is absent. No replacement layout gap appeared. |\n\nEvery explicit requirement is accounted for below. “Met” means implemented support; owner-authenticated trading, paid providers, and notification delivery to physical devices were not exercised.\n\n| Brief requirement | Status | Evidence |\n|---|---|---|\n| “custom intraday crypto trading web app” | Met | Overview, market selection, intraday intervals and execution controls in `src/main.ts`. |\n| “replicating the Jev-X Sentiment Analysis GitHub repo’s tech stack” | Met | `service/main.py`, `service/config.py`, `service/templates/index.html`, `requirements.txt`. |\n| “Real-time aggregation … social media, news, and on-chain sources” | Met | `service/providers.py`: TwitterAPI.io, RSS and Ethereum activity adapters; refresh and missing-source handling. |\n| “User-configurable sentiment-based trading signals with threshold settings” | Met | Signals form and complete summaries in `src/main.ts`; matching logic in `src/core.ts`. |\n| “manual and automated trade execution … major crypto exchanges via APIs” | Met | Connections and live-order controls; CCXT execution and automation in `service/main.py`, supporting Kraken, Binance and Coinbase. |\n| “Interactive advanced charting including VWAP, RSI, MACD, volume … sentiment” | Met | `src/chart.ts`; interactive controls, inspection and corrected sparse overlays. |\n| “stop-loss recommendations and position size calculators” | Met | Trade dialog’s suggested stop and Portfolio calculator; `src/core.ts`. |\n| “Historical data analysis and backtesting … sentiment and technical indicators” | Met | Backtesting controls, CSV import, strategy engine and result","treeHash":null,"usage":{"cachedInputTokens":2702208,"inputTokens":120793,"model":"gpt-6-astra","outputTokens":11812,"runtime":"codex","turns":6,"wallClockMs":443833}},{"artifacts":[],"attempt":1,"bundleHash":"092d4d247ed5e39a89aa1cf4617fe03754ab4f551855ed3ee4d31970f47b9bed","device":"b5ff2623f878600d","findings":[],"hash":"6a1b03724bd23ac8e3755228b58d50a50abf2281d3b3be33b234a59b6b7c963a","nodeId":"3f9be7e3-7eed-4c4d-8d46-9f55dce065cf","outcome":"completed","summary":"Built Sentra with interactive charts, configurable signals, paper trading, backtesting, risk tools, alerts, and a private exchange API service.\n\n- Production build and typecheck passed.\n- 16 core, 13 service, and 19 browser scenarios passed.\n- Submission files total 1.63 MiB, below 8 MiB.\n- Live integrations require your credentials; no real trades were executed.\n\n[Setup and usage](README.md) · [Design system](DESIGN.md) · [Validation report](artifacts/validation.md)","treeHash":"d4b528648b807cee313743a01813768c7bf59085","usage":{"cachedInputTokens":9698688,"inputTokens":315420,"model":"gpt-6-astra","outputTokens":137262,"runtime":"codex","turns":16,"wallClockMs":4219989}},{"artifacts":[],"attempt":1,"bundleHash":"73b9858a4f2e45edd3a7fccd884b3811d53f7c56b1131a9540869caba28e0151","device":"c5f970da1a0cc219","findings":[],"hash":"6ac60ed47ce9ccbb7eca2209c30194670a746eac3a16c8c5c6a23eabbf48f8aa","nodeId":"3f9be7e3-7eed-4c4d-8d46-9f55dce065cf","outcome":"completed","summary":"Fixed all six findings, including Jinja2 rendering, Pydantic/dotenv settings, chart gaps and dates, signal summaries, mobile clipping, and task guidance.\n\nRebuilt `dist/` and updated documentation. Build, typecheck, 32 calculation/service tests, 19 browser scenarios, and 25 revision assertions passed. Submission files total 1.85 MiB.\n\nResponses are recorded in `.imd-responses.json`. Live exchange execution remains untested.","treeHash":"8efc48f5b84919ca268ccae73c0a6d38939bfcc5","usage":{"cachedInputTokens":4061568,"inputTokens":162785,"model":"gpt-6-astra","outputTokens":39005,"runtime":"codex","turns":8,"wallClockMs":1231905}},{"artifacts":[],"attempt":1,"bundleHash":null,"device":"e698c63d215db960","findings":[{"citation":"resolved","description":"Now: The private service reproduces Python/FastAPI, SQLite, CCXT, HTTPX, and Jev, but serves a Vite/TypeScript static export instead of the reference’s Jinja2 templates. Config.from_env uses a dataclass and os.getenv instead of the reference’s Pydantic Settings/dotenv layer. README.md:83 explicitly documents the template substitution.\nChange to: Bring the existing private service’s rendering and configuration layers into parity with the named reference: serve the existing interface through Jinja2 and load its settings through Pydantic Settings with dotenv support, retaining the current page design and trading functions. Keep any static demo as an optional export.\nWhy: The brief explicitly requires “replicating the Jev-X Sentiment Analysis GitHub repo’s tech stack”; architectural inspiration with different rendering and settings layers does not meet that requirement.","line":314,"path":"service/main.py","reproduction":"At 1440×900, open Connections to identify the included FastAPI private service. Inspect service/main.py:314–316: the root is mounted with StaticFiles(directory=dist, html=True), with zero Jinja2Templates/template responses in the service. service/config.py:1–3 and :31–53 use dataclasses and os.getenv. requirements.txt declares no jinja2, pydantic-settings, or python-dotenv. Compare the named upstream repository’s requirements.txt (https://raw.githubusercontent.com/brainstormity/Jev-X-Sentiment-Analysis/main/requirements.txt), which declares all three, its app/main.py (Jinja2Templates and TemplateResponse), and app/core/config.py (BaseSettings with env_file=\".env\"). Expected: the required reference layers are present; actual: the README explicitly says the service serves dist instead of rendering Jinja templates. This is source-verified stack fidelity, not a failure caused by missing owner credentials.","severity":"high","snippet":"    dist = Path(__file__).resolve().parents[1] / 'dist'\n    if dist.exists():\n        app.mount('/', StaticFiles(directory=dist, html=True), name='web')","title":"fidelity: the delivered stack omits the reference template and settings layers"},{"citation":"resolved","description":"Now: signalCard renders either “Price above VWAP” or the RSI limit, even though matches() always enforces the RSI limit. A rule can show “Watching” while every condition printed on its card is satisfied.\nChange to: Always render “Sentiment ≥/≤ {threshold} · RSI ≤ {rsiMax}”, then append “ · Price above VWAP” when useVwap is enabled. Apply the same summary to compact and full signal cards and allow it to wrap.\nWhy: The brief requires user-configurable sentiment trading signals suitable for a professional quant desk; a rule summary must disclose every condition controlling its alerts and paper orders.","line":484,"path":"src/main.ts","reproduction":"At 390×844, open Overview → Create signal. Name it “Review: hidden RSI”, set sentiment threshold to 0 and Maximum RSI to 0, leave Require price above session VWAP checked, and create the signal. Open Signals. Actual card: “Watching” and “Sentiment ≥ 0 · Price above VWAP”, with no RSI condition. Reopening Edit shows Maximum RSI = 0 and VWAP checked. At the initial sample snapshot, BTC sentiment = 72 and price = $67,366.13, above session VWAP; the hidden RSI rule blocks the alert. Expected card also states “RSI ≤ 0”. The same rendering function serves Overview and Signals. Reproduced in Chromium and WebKit.","severity":"medium","snippet":"  return `<article class=\"signal-card ${compact ? \"compact-signal\" : \"\"}\"><div class=\"signal-card-top\"><span class=\"signal-asset\">${coin(s.asset)}${s.asset} / USDT</span>${chip(!s.enabled ? \"Paused\" : met ? \"Condition met\" : \"Watching\", !s.enabled ? \"\" : met ? \"positive\" : \"watching\")}</div><button class=\"signal-name\" data-action=\"edit-${esc(s.id)}\">${esc(s.name)}</button><p>Sentiment ${s.direction === \"above\" ? \"≥\" : \"≤\"} ${s.threshold}${s.useVwap ? \" · Price above VWAP\" : ` · RSI ≤ ${s.rsiMax}`}</p><div class=\"signal-card-bottom\"><span>${icon(s.auto ? \"play\" : \"bell\")}${s.auto ? \"Paper automation\" : \"Alert only\"}</span>${compact ? `<button class=\"icon-button\" data-action=\"edit-${esc(s.id)}\" aria-label=\"Edit ${esc(s.name)}\">${icon(\"chevron\")}</button>` : `<div class=\"inline-actions\"><button class=\"text-button\" data-action=\"toggle-${esc(s.id)}\">${s.enabled ? \"Pause\" : \"Enable\"}</button><button class=\"text-button\" data-action=\"edit-${esc(s.id)}\">Edit signal</button></div>`}</div></artic","title":"bug: enabling VWAP hides an enforced RSI condition from each signal summary"},{"citation":"resolved","description":"Now: hasSentiment requires every visible candle to contain sentiment. A newly connected service correctly returns null for unobserved history, but those gaps suppress all available sentiment points while the Sentiment toggle remains selected.\nChange to: Render contiguous runs of non-null sentiment values as separate path segments (and isolated values as points); leave real gaps unfilled. If there are no observations in view, show “No recorded sentiment in this range” beside the selected indicator.\nWhy: The brief requires interactive sentiment overlays. The provider deliberately preserves missing historical observations, so the chart must display the observations that do exist without inventing history.","line":70,"path":"src/chart.ts","reproduction":"At 390×844, use a controlled /api/snapshot response with 180 valid 15-minute candles, null sentiment on the first 170, and numeric sentiment on the final 10 (69–72 in this test), with current source scores present. Connect this service in Connections and open Overview with the default 64-candle window. The Sentiment button has aria-pressed=\"true\", Recent candle data shows 10 numeric sentiment observations, but document.querySelectorAll(\".chart-interactive .sentiment-line\").length is 0 and the SVG label omits sentiment. Refresh the identical fixture with numeric sentiment on all candles: the path count becomes 1. Expected: the 10 recorded points remain visible with gaps for earlier unobserved candles. The service naturally creates this sparse state in service/providers.py:197–202.","severity":"medium","snippet":"    hasSentiment = bars.every((c) => c.sentiment !== null);","title":"bug: one missing sentiment value removes every recorded sentiment point from the chart"},{"citation":"resolved","description":"Now: The Positions / Trade history tabs and Export CSV button share one non-wrapping panel heading. At 320px the button extends 18px past the panel and is cut by the panel’s hidden overflow, including its text and right border.\nChange to: Allow this portfolio toolbar to wrap below 650px, with flex-wrap: wrap and a 12px row gap, so Export CSV moves below the tabs when the two controls cannot fit. Preserve the button label and full hit area.\nWhy: The brief requires a clean responsive interface; controls and their labels must remain fully visible at the measured mobile widths.","line":738,"path":"src/style.css","reproduction":"At 320×844, open #portfolio with an empty paper account and scroll to Positions / Trade history. The screenshot shows “Export CS” cut at the panel’s right edge. Applying the supplied taste@1 collector to this route reports: “#main > section.panel:nth-of-type(2) > div.panel-heading:nth-of-type(1) > button.button.compact”, clipped by “#main > section.panel:nth-of-type(2)”, px:18, text:\"Export CSV\". The document itself remains 320px wide, so horizontal page scrolling cannot recover the hidden end. Expected: the complete button and label fit inside the panel.","severity":"medium","snippet":".panel-heading {\n  min-height: 61px;\n  padding: 16px 20px;\n  display: flex;\n  align-items: center;\n  justify-content: space-between;\n  gap: 12px;\n}","title":"bug: the Portfolio export button is clipped at 320px"},{"citation":"resolved","description":"Now: The chart axis and inspection tooltip strip timestamps down to HH:mm. The Recent candle data table also uses the time-only formatter, so candles from different dates receive identical visible timestamps with no date available on inspection.\nChange to: Show full UTC dates in the tooltip and candle table (YYYY-MM-DD HH:mm UTC), and include day/month on the chart axis when its visible range crosses midnight. Keep the time labels for a single-day range.\nWhy: Interactive historical charting must let the user identify which observation they are inspecting; a professional trading desk cannot distinguish multi-day candles by a repeating clock time.","line":95,"path":"src/chart.ts","reproduction":"At 1440×900, open Overview, pause playback, click Show fewer candles twice (24 bars), and select 4h. The visible range spans 92 hours. Actual x-axis times are 18:30, 14:30, 06:30, 02:30, 18:30, 14:30 with no dates. Focus the price chart and press ArrowLeft: its tooltip is only “10:30 UTC”. Open View candle data table: three distinct rows have UTC “14:30”, with closes 67,366.13, 67,734.30, and 67,682.16. The underlying dates are 2026-10-11, 2026-10-10, and 2026-10-09 respectively, but none are shown. Expected: inspecting each row or candle exposes its full date and time. The 390px chart uses the same time-only formatter.","severity":"medium","snippet":"    tooltip.innerHTML = `<strong>${new Date(c.time).toISOString().slice(11, 16)} UTC</strong><span>O ${price(c.open)} · H ${price(c.high)}</span><span>L ${price(c.low)} · C ${price(c.close)}</span><span>Volume ${number(c.volume)} · Sentiment ${c.sentiment ?? \"unavailable\"}</span>`;","title":"bug: multi-day candles cannot be identified by date anywhere in chart inspection"},{"citation":"resolved","description":"Now: The desk uses marketing voice lines below task headings, including “The market moves. Stay one signal ahead.”, “Your rules. The market’s next move.” and “Build a thesis. Test the numbers.” The sidebar adds “A sharper view. A more considered trade.”\nChange to: Replace the Overview subtitle with “Monitor prices, sentiment, signals, and paper positions.”; Signals with “Set sentiment thresholds, RSI limits, and execution rules.”; Backtesting with “Test sentiment and technical rules against historical candles.”; sample Portfolio with “Review paper positions, fills, and position sizes.”; Connections with “Connect your private data and exchange service.”; Settings with “Manage notifications, refresh, and local data.” Delete the sidebar desk-note and let its surrounding flex space close naturally.\nWhy: This is a professional quant tool; the supplied copy checklist requires plain task headings and no marketing voice lines. The replacements describe functions that are already present.","line":407,"path":"src/main.ts","reproduction":"At 390×844 and 1440×900, open #overview, #signals, #backtesting, #portfolio, #connections, and #settings. Each .page-heading > div > p shows the quoted promotional subtitle instead of task guidance; at 1440 the sidebar also shows the two-line slogan. taste@1 slogans reports “2 two-beat lines” on Overview; its copy-budget reports 7 first-screen prose words, all belonging to the Overview slogan. Screenshots of all seven routes confirm the repeated pattern.","severity":"medium","snippet":"  return `${heading(\"Market overview\", \"The market moves. Stay one signal ahead.\", `<span class=\"session-label\">${icon(\"clock\")} Intraday workspace</span>${button(\"new-signal\", \"Create signal\", \"plus\", \"button primary\")}`)}","title":"taste: promotional subtitles replace useful task guidance across the workspace"}],"hash":"9588401c7fc80897efa87a50a04ee9e556ca3c6eb348fcb40ff3dafeb229f308","nodeId":"ef202410-0f29-4050-87f7-a0e86dede4ea","outcome":"completed","summary":"| Area | Result |\n|---|---|\n| Requirements | 13 reviewed: **12 met, 1 missing, 0 faked** |\n| Broken features | **4** |\n| First screen at 390px | **Yes** — product and primary actions visible |\n| taste@1 | **15/16 passed** |\n| Copy findings | **1** |\n| Share card | **Present**, with title, favicon and metadata |\n\nSaved **6 verified findings: 1 high, 5 medium** in [.imd-findings.json](/home/imd8/.identitymd/work/993bb23b-ec6f-487a-a5cd-9c8470b1de6a/ef202410-0f29-4050-87f7-a0e86dede4ea/.imd-findings.json). Website files remain unchanged.\n\n| Explicit requirement | Status | Evidence |\n|---|---|---|\n| “custom intraday crypto trading web app” | Met | Overview, Markets, Signals and Portfolio |\n| “replicating … Jev-X … tech stack” | **Missing exact parity** | `service/main.py:314` serves static files; the [reference uses Jinja2 templates](https://raw.githubusercontent.com/brainstormity/Jev-X-Sentiment-Analysis/main/app/main.py) and [Pydantic Settings](https://raw.githubusercontent.com/brainstormity/Jev-X-Sentiment-Analysis/main/app/core/config.py) |\n| “Real-time aggregation … social media, news, and on-chain sources” | Met | `service/providers.py`: TwitterAPI.io, RSS and Ethereum adapters |\n| “User-configurable … signals with threshold settings” | Met | Create/Edit signal forms and threshold slider |\n| “manual and automated trade execution … major crypto exchanges via APIs” | Met | Trade confirmation, Connections automation; `service/main.py:66,148` |\n| “Interactive advanced charting including VWAP, RSI, MACD, volume … sentiment overlays” | Met, with defects | Chart controls; `src/chart.ts` |\n| “stop-loss recommendations and position size calculators” | Met | Trade dialog and Portfolio calculator |\n| “Historical data analysis and backtesting … sentiment and technical indicators” | Met | Strategy lab, CSV import and `src/core.ts:316` |\n| “Real-time alerts via desktop and mobile notifications” | Met | Browser notifications, inbox and service-side ntfy delivery |\n| “Clean, responsive, user-friendly … professional quant desk” | Met, with defects | Seven responsive routes; clipping and copy findings below |\n| “documentation covering setup, usage, and customization” | Met | `README.md` |\n| “limited to single user” | Met | Personal bearer token, private service and local workspace |\n| “all app text and documentation in English” | Met | Rendered interface, English document language and README |\n\nSentra is a personal trading desk organized around graphite panels, restrained chart colors and lime action buttons.\n\nThe recorded findings are:\n\n- **High — fidelity:** Reference template and settings layers are absent.\n- **Medium — bug:** Enabling VWAP hides the signal’s enforced RSI condition.\n- **Medium — bug:** One missing sentiment value suppresses the entire sentiment overlay.\n- **Medium — bug:** Portfolio clips 18px of the export button at 320px.\n- **Medium — bug:** Multi-day chart inspection omits dates.\n- **Medium — taste:** Promotional subtitles replace useful task guidance.\n\nEach finding includes an exact source citation, proposed change and measured reproduction.\n\nChecked all seven routes at **320, 390 and 1440px** in Chromium and WebKit; exercised core workflows and failure states; **16 calculation tests passed**. Live exchange execution and external notification delivery remain unverified with owner credentials. The sole taste@1 failure is six font weights; that is an explicitly documented design-system choice.","treeHash":null,"usage":{"cachedInputTokens":6097664,"inputTokens":186711,"model":"gpt-6-astra","outputTokens":27704,"runtime":"codex","turns":9,"wallClockMs":1082480}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"6a1b03724bd23ac8e3755228b58d50a50abf2281d3b3be33b234a59b6b7c963a","verifiedTreeHash":"d4b528648b807cee313743a01813768c7bf59085","verifierVersion":"0.1.0+0e08a464"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"6ac60ed47ce9ccbb7eca2209c30194670a746eac3a16c8c5c6a23eabbf48f8aa","verifiedTreeHash":"8efc48f5b84919ca268ccae73c0a6d38939bfcc5","verifierVersion":"0.1.0+0e08a464"}]}