Oracle3
Oracle3: 예측시장 거래 엔진·MCP 서버
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1분 만에 확인하기Newest, updated version of Xrill Operating System
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Next.js + Supabase port of the XRILL trading course product, originally a
Python/Streamlit app.
This is the real, working build. It was pushed straight to Vercel via
vercel deploy (no Git repo backing it), so it never existed anywhere else —
not in this repo, not on this Mac — until it was pulled back down from the
live deployment on 2026-09-08. If you also have ~/Desktop/XRILL/xrill-trading-os
around, that was an earlier from-scratch scaffold built before this one was
discovered; it's superseded by this folder and safe to delete.README 전문 보기 ↗Next.js + Supabase port of the XRILL trading course product, originally a Python/Streamlit app.
This is the real, working build. It was pushed straight to Vercel via
vercel deploy (no Git repo backing it), so it never existed anywhere else —
not in this repo, not on this Mac — until it was pulled back down from the
live deployment on 2026-09-08. If you also have ~/Desktop/XRILL/xrill-trading-os
around, that was an earlier from-scratch scaffold built before this one was
discovered; it's superseded by this folder and safe to delete.
components/XrillWizard.tsx): Daily Check-In → Trade
Gate → Setup Score → Trade Plan → Risk Manager → Execution Check → Trade
Score → Authorizationlib/xrill.ts) ported from the original Python
(main.py, trade_score.py, account.py) — kept as the single source of
truth so authorization is always recomputed server-side, never trusted from
client input. Re-tooled for options buyers: the Trade Plan step no
longer does futures point-value math — it's built around SPY/QQQ/single-
stock CALL/PUT premiums (ticker, Call/Put, entry premium, a stop that's
either a stop-loss premium or "full premium at risk" for 0DTE/scalps, and a
target premium), with 1 contract = 100 shares baked into every dollar
calculation. Risk Manager still dynamically caps contracts from your real
account balance and risk % (lib/xrill.ts's evaluateRisk), and now warns
inline on the Trade Plan step itself — before you even reach Risk Manager —
if the contract count you entered exceeds what your risk settings allow.(?) hints (components/Hint.tsx) explain jargon at the point of use
(liquidity, "1 contract = 100 shares", waiting for candle closes) across
the wizard for beginners./dashboard — account balance/risk, last session, performance stats/session — runs the wizard, app/session/actions.ts saves the result/playbook, /account — supporting pagesapp/login, lib/supabase/*, middleware.ts)xrill-trading Supabase project (schema: profiles,
accounts, xrill_sessions, xrill_outcomes, leaderboard_stats view)/analytics — full analytics command center (lib/analytics.ts, ported
from the original analytics.py): win rate, profit factor, expectancy,
average R, equity curve, max drawdown, breakdowns by ticker/direction/
market session/setup type/score bucket, plan and exit-rule adherence,
MFE/MAE, holding time — with client-side date/ticker/setup/direction
filters, same as the original Streamlit "Analytics Command Center" tab/intelligence — trading profile (strongest/weakest gate, tiered
observations, a recommendation) ported from the original CLI's
xrill_intelligence() in main.py, plus an "XRILL Coach" mindset
check-in (lib/coach.ts, ported from coach.py), plus a "🤖 XRILL
Rejection Analysis" section (lib/rejection.ts, ported from
xrill_rejection_analysis()) breaking down block reasons by category
and surfacing the most common one with the same coaching message the
CLI gave. None of these existed in working form anywhere before now —
the Streamlit UI only had a placeholder ("Intelligence / Coach module
will be connected next") and the real logic lived only in the old CLI,
never wired into the web app./journal — every XRILL session, newest first, with the trade plan and
final decision (ported from xrill_session_history()), and — this is
the important part — an actual UI to record the trade outcome
(P/L, followed plan?, followed exit rules?, emotion, lesson) that was
previously only possible from the CLI's menu option 22
(xrill_trade_outcome()). Before this, xrill_outcomes had zero rows
in the live database and no code path anywhere in the web app ever
wrote to it — /analytics's P&L, win rate, profit factor, and every
other outcome-derived metric were reading a table nothing could
populate. /journal is that missing write path, via a new server
action (app/journal/actions.ts) and an xrill_outcomes.session_id
unique constraint added directly in Supabase so each session's outcome
can be saved and edited in place. Outcome recording is restricted to
authorized sessions only (a blocked session was never executed, so
there's nothing to journal), and the page has All/Authorized/Blocked
filter tabs./about — origin & philosophy, the 8-gate breakdown, an FAQ, a
methodology-only performance-transparency section (no fabricated
numbers — it points to your real /analytics and /intelligence
instead), a quick-start guide, and a CFTC-style risk disclosure (a
drafted starting point, not reviewed by counsel).components/visuals/CandlestickGlow.tsx), inline SVG (no external
images, nothing to download) in the app's own color tokens. A dim,
full-bleed version sits behind every page (TerminalBackdrop, mounted
once in app/layout.tsx); a brighter version anchors the landing page
hero; a compact banner variant sits behind the header on Dashboard,
Analytics, and Intelligence.[email protected] has several disclosed vulnerabilities, including a
middleware authorization bypass (GHSA-f82v-jwr5-mffw) — meaningful here
since middleware.ts is what gates access to authenticated routes. Run
npm audit for the full list. Upgrading to a patched Next 14.2.x point
release (rather than jumping to Next 16, which would need retesting the auth
flow) is the lower-risk fix.
npm install
npm run dev
.env.local is already present (gitignored) with the Supabase URL and
publishable key for the xrill-trading project.