feat: client-side simulation layer for terminal dashboard panels

Adds a local synthetic data engine that can drive all dashboard panels
(candles, order book, liq ladder, stats) without a backend connection,
plus de-synced beam animation phases in the orchestration topology.
This commit is contained in:
tinkle-community
2026-07-05 19:13:44 +09:00
parent ea74f91de2
commit 49613830ce
7 changed files with 789 additions and 45 deletions

View File

@@ -3,6 +3,9 @@ import useSWR from 'swr'
import { api } from '../../lib/api'
import type { Kline } from '../../lib/api/data'
import { Candles } from './Candles'
import { demoSeedPrice } from '../../lib/demo/demoUniverse'
const drnd = (a: number, b: number) => a + Math.random() * (b - a)
/**
* KlineChart shows a live candlestick chart. History is seeded from the backend
@@ -29,18 +32,87 @@ interface KlineChartProps {
height?: number
/** stretch the chart to fill the parent's remaining height */
fill?: boolean
/** showcase mode — drive a fast synthetic uptrend instead of the live feed */
demo?: boolean
}
export function KlineChart({ symbol, height = 360, fill = false }: KlineChartProps) {
export function KlineChart({ symbol, height = 360, fill = false, demo = false }: KlineChartProps) {
const base = baseSymbol(symbol || '')
// history seed (resynced occasionally; the WS carries the live bar)
const { data: seed, isLoading } = useSWR(
base ? ['kline', base, INTERVAL] : null,
base && !demo ? ['kline', base, INTERVAL] : null,
() => api.getKlines(base, INTERVAL, 'hyperliquid', MAX_BARS, true),
{ refreshInterval: 60000, revalidateOnFocus: false, shouldRetryOnError: false, keepPreviousData: true },
)
// synthetic showcase candles — a fast, gently rising series
const [demoCandles, setDemoCandles] = useState<Kline[]>([])
useEffect(() => {
if (!demo || !base) return
const target = demoSeedPrice(base)
// A deliberately clean rising series: linear climb + a couple of gentle waves
// (natural pullbacks) + tiny noise and small wicks. The last close lands on
// `target` so it stays aligned with the order book + cost/liq mark. No bar
// rolling (which degraded into flat noise) — the forming bar ticks live and
// the whole series subtly refreshes occasionally.
const buildSeries = (): Kline[] => {
const now = Date.now()
const start = target * (1 - drnd(0.013, 0.02))
const span = target - start
const phase = drnd(0, Math.PI * 2)
const bars: Kline[] = []
let prevClose = start
for (let i = 0; i < MAX_BARS; i++) {
const t01 = i / (MAX_BARS - 1)
const close = start + span * t01 + span * 0.13 * Math.sin(t01 * 6.5 + phase) + (Math.random() - 0.5) * target * 0.0008
const open = i === 0 ? start : prevClose
const wick = target * drnd(0.0003, 0.0009)
const tt = now - (MAX_BARS - i) * 60_000
bars.push({
openTime: tt,
closeTime: tt + 60_000,
open,
high: Math.max(open, close) + wick,
low: Math.min(open, close) - wick,
close,
volume: drnd(60, 360),
})
prevClose = close
}
const last = bars[bars.length - 1]
last.close = target
last.high = Math.max(last.high, target)
last.low = Math.min(last.low, target)
return bars
}
setDemoCandles(buildSeries())
let frame = 0
const id = setInterval(() => {
frame++
if (frame % 100 === 0) {
setDemoCandles(buildSeries()) // subtle full refresh (~25s)
return
}
setDemoCandles((prev) => {
if (!prev.length) return prev
const arr = prev.slice()
const i = arr.length - 1
const last = { ...arr[i] }
// forming bar ticks gently around the current price; clean fixed-size wick
const close = target * (1 + drnd(-0.0009, 0.001))
const wick = target * 0.0006
last.close = close
last.high = Math.max(last.open, close) + wick
last.low = Math.min(last.open, close) - wick
last.volume += drnd(2, 14)
arr[i] = last
return arr
})
}, 250)
return () => clearInterval(id)
}, [demo, base])
// resolve the Hyperliquid coin id (xyz: dex membership)
const [xyzSet, setXyzSet] = useState<Set<string>>(new Set())
useEffect(() => {
@@ -65,7 +137,7 @@ export function KlineChart({ symbol, height = 360, fill = false }: KlineChartPro
const [wsLive, setWsLive] = useState(false)
const pending = useRef<Kline | null>(null)
useEffect(() => {
if (!coin) return
if (!coin || demo) return
setLiveBar(null)
let ws: WebSocket | null = null
let raf: number | null = null
@@ -117,7 +189,7 @@ export function KlineChart({ symbol, height = 360, fill = false }: KlineChartPro
}, [coin])
// merge the live bar into the seeded history
const candles = useMemo(() => {
const realCandles = useMemo(() => {
const hist = seed ?? []
if (!liveBar) return hist
const arr = [...hist]
@@ -127,10 +199,11 @@ export function KlineChart({ symbol, height = 360, fill = false }: KlineChartPro
return arr.slice(-MAX_BARS)
}, [seed, liveBar])
const candles = demo ? demoCandles : realCandles
const last = candles.length ? candles[candles.length - 1].close : 0
const first = candles.length ? candles[0].open : 0
const chg = first ? ((last - first) / first) * 100 : 0
const live = wsLive && candles.length > 0
const live = (demo || wsLive) && candles.length > 0
return (
<div style={{ fontFamily: 'var(--tm-mono)', ...(fill ? { display: 'flex', flexDirection: 'column', height: '100%', minHeight: 0 } : {}) }}>

View File

@@ -2,6 +2,9 @@ import { useEffect, useMemo, useRef, useState } from 'react'
import useSWR from 'swr'
import { api } from '../../lib/api'
import type { VergexHeatmapBin } from '../../lib/api/data'
import { demoSeedPrice, demoTick } from '../../lib/demo/demoUniverse'
const lmRnd = (a: number, b: number) => a + Math.random() * (b - a)
/**
* LiquidationMap renders the vergex (claw402) cost / liquidation heatmap as a
@@ -44,9 +47,11 @@ interface LiquidationMapProps {
marketType?: string
/** fixed height of the scrollable ladder (px); auto-centres on the mark */
height?: number
/** showcase mode — render a synthetic ladder centred on the demo seed price */
demo?: boolean
}
export function LiquidationMap({ symbol, marketType = 'hip3_perp', height = 460 }: LiquidationMapProps) {
export function LiquidationMap({ symbol, marketType = 'hip3_perp', height = 460, demo = false }: LiquidationMapProps) {
// Synthetic markets live under marketType "hip3_perp"; crypto majors under
// "perp". We try the caller's guess first and fall back to the other so the
// heatmap resolves for ANY symbol that has one.
@@ -54,15 +59,68 @@ export function LiquidationMap({ symbol, marketType = 'hip3_perp', height = 460
api.getVergexCostLiquidationHeatmap({ marketType: mt, symbol, chain: 'mainnet', liqBand: '15' })
const opts = { refreshInterval: 300000, revalidateOnFocus: false, keepPreviousData: true }
const primary = useSWR(symbol ? ['heatmap', marketType, symbol] : null, () => fetcher(marketType), opts)
const primary = useSWR(symbol && !demo ? ['heatmap', marketType, symbol] : null, () => fetcher(marketType), opts)
const primaryHasBins = !!primary.data?.data?.bins?.length
const altMt = marketType === 'perp' ? 'hip3_perp' : 'perp'
const needAlt = !primaryHasBins && !primary.isLoading && primary.data !== undefined
const needAlt = !demo && !primaryHasBins && !primary.isLoading && primary.data !== undefined
const alt = useSWR(needAlt && symbol ? ['heatmap', altMt, symbol] : null, () => fetcher(altMt), opts)
const data = primaryHasBins ? primary.data : alt.data
const isLoading = primary.isLoading || (needAlt && alt.isLoading)
const error = primaryHasBins ? undefined : alt.error || primary.error
// showcase mode: drive a slow ticker so the synthetic ladder gently breathes
const [demoFrame, setDemoFrame] = useState(0)
useEffect(() => {
if (!demo) return
const id = setInterval(() => setDemoFrame((f) => f + 1), 420)
return () => clearInterval(id)
}, [demo])
// stable base ladder for the active symbol (regenerated only on symbol change),
// centred on the same seed price the order book / candles use so all three
// price panels stay consistent.
const demoBase = useMemo(() => {
if (!demo) return null
const base = (symbol || 'SP500').toUpperCase().replace(/^XYZ:/, '')
const mark = demoSeedPrice(base)
const tick = demoTick(mark)
const N = 44
const scale = mark * 1.4e4
const bins = [] as { px: number; lc: number; sc: number; ll: number; sl: number }[]
for (let i = -N / 2; i <= N / 2; i++) {
const px = +(mark + i * tick * 2).toFixed(tick < 1 ? 3 : 1)
const dist = Math.abs(i) / (N / 2)
const near = Math.max(0, 1 - dist) ** 1.4
const far = dist ** 1.3
const below = i < 0
bins.push({
px,
lc: (below ? near : near * 0.18) * scale * lmRnd(0.5, 1),
sc: (!below ? near : near * 0.18) * scale * lmRnd(0.5, 1),
ll: (below ? far : 0) * scale * lmRnd(0.4, 0.9),
sl: (!below ? far : 0) * scale * lmRnd(0.4, 0.9),
})
}
return { base, mark, bins, costAddrs: Math.round(lmRnd(22000, 31000)), liqAddrs: Math.round(lmRnd(16000, 23000)) }
}, [demo, symbol])
// per-frame view: each bin breathes on its own phase (gentle ±, not a refresh)
const demoData = useMemo(() => {
if (!demoBase) return undefined
const f = demoFrame
const w = (v: number, amp: number, ph: number) => v * (1 + amp * Math.sin(f * 0.5 + ph))
const bins: VergexHeatmapBin[] = demoBase.bins.map((b, i) => ({
px: b.px,
longCost: w(b.lc, 0.12, i * 0.6),
shortCost: w(b.sc, 0.12, i * 0.9 + 1.7),
longLiq: w(b.ll, 0.16, i * 0.5 + 3.1),
shortLiq: w(b.sl, 0.16, i * 0.8 + 4.6),
}) as unknown as VergexHeatmapBin)
return {
data: { bins, markPrice: demoBase.mark, costAddrs: demoBase.costAddrs, liqAddrs: demoBase.liqAddrs, market: { symbol: demoBase.base } },
}
}, [demoBase, demoFrame])
const data = demo ? demoData : primaryHasBins ? primary.data : alt.data
const isLoading = demo ? false : primary.isLoading || (needAlt && alt.isLoading)
const error = demo ? undefined : primaryHasBins ? undefined : alt.error || primary.error
const [hover, setHover] = useState<number | null>(null)
const scrollRef = useRef<HTMLDivElement>(null)

View File

@@ -45,6 +45,14 @@ function baseSymbol(raw: string): string {
return raw.toUpperCase().replace(/^XYZ:/, '').replace(/[-_]/g, '').replace(/(USDT|USDC|USD)$/, '')
}
// stable pseudo-random in [0,1) from a string — gives each beam its own phase so
// the funnel flickers randomly (not in lockstep) while staying deterministic.
function hash01(s: string): number {
let h = 2166136261
for (let i = 0; i < s.length; i++) h = Math.imul(h ^ s.charCodeAt(i), 16777619)
return ((h >>> 0) % 10000) / 10000
}
// evenly spread `count` solid items across `capacity` grid cells
function scatter(count: number, capacity: number): Map<number, number> {
const m = new Map<number, number>()
@@ -175,20 +183,30 @@ export function OrchestrationTopology({ layers, className }: OrchestrationTopolo
))}
</g>
{engineTargets.map((n, i) => (
<circle key={`b0-${i}`} r={1.8} fill={n.dir === 'short' ? SHORT : LONG}>
<animate attributeName="cx" values={`${ENGINE_X};${n.x}`} dur={`${0.5 + (i % 5) * 0.08}s`} begin={`${(i % 8) * 0.07}s`} repeatCount="indefinite" />
<animate attributeName="cy" values={`${cy};${n.y}`} dur={`${0.5 + (i % 5) * 0.08}s`} begin={`${(i % 8) * 0.07}s`} repeatCount="indefinite" />
<animate attributeName="opacity" values="0.9;0.9;0" dur={`${0.5 + (i % 5) * 0.08}s`} begin={`${(i % 8) * 0.07}s`} repeatCount="indefinite" />
</circle>
))}
{edges.map((e, i) => (
<circle key={`be-${e.key}`} r={2.1} fill={e.dir === 'short' ? SHORT : LONG}>
<animate attributeName="cx" values={`${e.x1};${e.x2}`} dur={`${0.45 + (i % 4) * 0.08}s`} begin={`${(i % 6) * 0.06}s`} repeatCount="indefinite" />
<animate attributeName="cy" values={`${e.y1};${e.y2}`} dur={`${0.45 + (i % 4) * 0.08}s`} begin={`${(i % 6) * 0.06}s`} repeatCount="indefinite" />
<animate attributeName="opacity" values="1;1;0" dur={`${0.45 + (i % 4) * 0.08}s`} begin={`${(i % 6) * 0.06}s`} repeatCount="indefinite" />
</circle>
))}
{engineTargets.map((n, i) => {
const r = hash01(`e${i}-${n.x}-${n.y}`)
const dur = `${(0.42 + r * 0.55).toFixed(2)}s`
const begin = `${(r * 1.4).toFixed(2)}s`
return (
<circle key={`b0-${i}`} r={1.8} fill={n.dir === 'short' ? SHORT : LONG}>
<animate attributeName="cx" values={`${ENGINE_X};${n.x}`} dur={dur} begin={begin} repeatCount="indefinite" />
<animate attributeName="cy" values={`${cy};${n.y}`} dur={dur} begin={begin} repeatCount="indefinite" />
<animate attributeName="opacity" values="0.9;0.9;0" dur={dur} begin={begin} repeatCount="indefinite" />
</circle>
)
})}
{edges.map((e) => {
const r = hash01(e.key)
const dur = `${(0.38 + r * 0.6).toFixed(2)}s`
const begin = `${(r * 1.6).toFixed(2)}s`
return (
<circle key={`be-${e.key}`} r={2.1} fill={e.dir === 'short' ? SHORT : LONG}>
<animate attributeName="cx" values={`${e.x1};${e.x2}`} dur={dur} begin={begin} repeatCount="indefinite" />
<animate attributeName="cy" values={`${e.y1};${e.y2}`} dur={dur} begin={begin} repeatCount="indefinite" />
<animate attributeName="opacity" values="1;1;0" dur={dur} begin={begin} repeatCount="indefinite" />
</circle>
)
})}
{cellsByLayer.map((layer, li) =>
layer.map((cell, ci) => {

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@@ -1,4 +1,7 @@
import { useEffect, useMemo, useRef, useState } from 'react'
import { demoSeedPrice, demoTick } from '../../lib/demo/demoUniverse'
const rnd = (a: number, b: number) => a + Math.random() * (b - a)
/**
* OrderBook renders a live L2 depth ladder for a single instrument, streamed
@@ -55,9 +58,11 @@ interface OrderBookProps {
symbol: string
/** optional entry price to mark the user's position level on the ladder */
markPrice?: number
/** showcase mode — drive a fast synthetic book instead of the live WS feed */
demo?: boolean
}
export function OrderBook({ symbol, markPrice }: OrderBookProps) {
export function OrderBook({ symbol, markPrice, demo = false }: OrderBookProps) {
const base = useMemo(() => baseSymbol(symbol || ''), [symbol])
const [xyzSet, setXyzSet] = useState<Set<string>>(new Set())
const [book, setBook] = useState<BookState | null>(null)
@@ -88,10 +93,48 @@ export function OrderBook({ symbol, markPrice }: OrderBookProps) {
const coin = useMemo(() => resolveCoin(base, xyzSet), [base, xyzSet])
// synthetic showcase feed — keeps price levels stable for stretches (so each
// row flashes independently as its size changes) with a gentle upward drift.
useEffect(() => {
if (!demo || !base) return
const seed = demoSeedPrice(base)
const tickSz = demoTick(seed)
const dp = tickSz < 1 ? 3 : 1
let mid = seed
let frame = 0
const mkSizes = () =>
Array.from({ length: DEPTH }, (_, i) => +(rnd(0.4, 6) * (1 + i * 0.12)).toFixed(3))
const askSz = mkSizes()
const bidSz = mkSizes()
const emit = () => {
const asks: Level[] = askSz.map((sz, i) => ({ px: +(mid + tickSz * (i + 1)).toFixed(dp), sz }))
const bids: Level[] = bidSz.map((sz, i) => ({ px: +(mid - tickSz * (i + 1)).toFixed(dp), sz }))
setBook({ coin: `xyz:${base}`, bids, asks })
}
setStatus('live')
emit()
const id = setInterval(() => {
frame++
const n = 2 + Math.floor(Math.random() * 3)
for (let k = 0; k < n; k++) {
const arr = Math.random() < 0.5 ? askSz : bidSz
const i = Math.floor(Math.random() * DEPTH)
arr[i] = +Math.max(0.05, arr[i] * rnd(0.6, 1.5)).toFixed(3)
}
// gentle mean-reverting wiggle around the seed (NO unbounded drift, so the
// order book stays aligned with the cost/liq map + candle over a long run)
if (frame % 5 === 0) {
mid = +(mid + (seed - mid) * 0.3 + (Math.random() - 0.5) * tickSz * 2).toFixed(dp)
}
emit()
}, 130)
return () => clearInterval(id)
}, [demo, base])
// live L2 stream
const pending = useRef<BookState | null>(null)
useEffect(() => {
if (!coin) return
if (!coin || demo) return
let ws: WebSocket | null = null
let raf: number | null = null
let retry: ReturnType<typeof setTimeout> | null = null

View File

@@ -17,6 +17,7 @@ import { KlineChart } from './KlineChart'
import { ExecutionLog } from './ExecutionLog'
import { SignalMatrix } from './SignalMatrix'
import { RiskRadar } from './RiskRadar'
import { useDemoEngine } from '../../lib/demo/useDemoEngine'
// crypto majors trade on the Hyperliquid main dex (no hip3 cost/liq heatmap);
// everything else in the universe is an xyz-dex synthetic market that does.
@@ -88,50 +89,77 @@ export function TerminalDashboard({
traders,
selectedTraderId,
onTraderSelect,
status,
account,
positions,
decisions,
status: propStatus,
account: propAccount,
positions: propPositions,
decisions: propDecisions,
}: TerminalDashboardProps) {
const traderId = selectedTrader?.trader_id || selectedTraderId
useTick(1000)
const clock = new Date().toLocaleTimeString('en-GB', { hour12: false })
const { data: fullStats } = useSWR(
const { data: realFullStats } = useSWR(
traderId ? ['full-stats', traderId] : null,
() => api.getFullStats(traderId!, true),
{ refreshInterval: 30000, shouldRetryOnError: false }
)
const { data: history } = useSWR(
const { data: realHistory } = useSWR(
traderId ? ['pos-history', traderId] : null,
() => api.getPositionHistory(traderId!, 50, true),
{ refreshInterval: 60000, shouldRetryOnError: false }
)
const { data: config } = useSWR(
const { data: realConfig } = useSWR(
traderId ? ['trader-config', traderId] : null,
() => api.getTraderConfig(traderId!, true),
{ refreshInterval: 120000, shouldRetryOnError: false }
)
const latest = decisions && decisions.length > 0 ? decisions[0] : undefined
const candidateCoins = latest?.candidate_coins ?? []
const { data: flow } = useSWR(
const { data: realFlow } = useSWR(
traderId ? ['flow-markets', traderId] : null,
() => api.getFlowMarkets(selectedTrader?.ai_model, 'mainnet', '1h', 50, true),
// paid x402 endpoint — poll slowly (5m) to conserve claw402 funds; the
// topology beam animation is client-side and stays fast regardless
{ refreshInterval: 300000, shouldRetryOnError: false }
)
const flowItems = flow?.data?.inflow ?? []
const { data: signalRank } = useSWR(
const { data: realSignalRank } = useSWR(
traderId ? ['signal-rank', traderId] : null,
() => api.getSignalRanking(selectedTrader?.ai_model, 'mainnet', 'all', 30, true),
// paid x402 endpoint — poll slowly (5m) to conserve claw402 funds
{ refreshInterval: 300000, shouldRetryOnError: false }
)
// Demo / showcase mode for product walkthroughs. Toggle with Shift+D (or the
// discreet corner dot). Generates a fast, profitable-looking US-equity dataset
// entirely client-side — it never touches the backend or any real account.
// When off, real data flows through unchanged.
const [demo, setDemo] = useState(false)
useEffect(() => {
const onKey = (e: KeyboardEvent) => {
if (e.shiftKey && (e.key === 'D' || e.key === 'd')) {
const el = document.activeElement
if (el && /^(input|textarea|select)$/i.test(el.tagName)) return
setDemo((v) => !v)
}
}
window.addEventListener('keydown', onKey)
return () => window.removeEventListener('keydown', onKey)
}, [])
const sim = useDemoEngine(demo)
const on = demo && !!sim
const status = on ? sim!.status : propStatus
const account = on ? sim!.account : propAccount
const positions = on ? sim!.positions : propPositions
const decisions = on ? sim!.decisions : propDecisions
const fullStats = on ? sim!.fullStats : realFullStats
const history = on ? sim!.history : realHistory
const config = on ? (sim!.config as unknown as typeof realConfig) : realConfig
const flow = on ? sim!.flow : realFlow
const signalRank = on ? sim!.signalRank : realSignalRank
const latest = decisions && decisions.length > 0 ? decisions[0] : undefined
const candidateCoins = latest?.candidate_coins ?? []
const flowItems = flow?.data?.inflow ?? []
// Both the cost/liq map and the order book follow this symbol so they stay in
// sync. The heatmap only covers hip3_perp synthetic markets, so we pick a
// synthetic (non-crypto) the bot trades — preferring the BUSIEST one (most
@@ -236,6 +264,26 @@ export function TerminalDashboard({
return (
<div className="nofx-terminal" style={{ minHeight: '100vh', padding: 0 }}>
{/* discreet, unlabelled showcase toggle (Shift+D also works) */}
<button
type="button"
onClick={() => setDemo((v) => !v)}
aria-label="toggle presentation mode"
style={{
position: 'fixed',
right: 10,
bottom: 10,
zIndex: 9999,
width: 12,
height: 12,
padding: 0,
borderRadius: '50%',
border: 'none',
cursor: 'pointer',
background: on ? 'var(--tm-up)' : 'rgba(26,24,19,0.2)',
opacity: on ? 0.55 : 0.18,
}}
/>
{/* centered, capped content column — no border (keeps it from feeling
embedded) but bounded so the aspect-ratio SVGs don't balloon on wide screens */}
{navSlot &&
@@ -315,19 +363,20 @@ export function TerminalDashboard({
back to the other one if the guess is wrong */}
<LiquidationMap
symbol={activeSym}
demo={on}
marketType={CRYPTO_MAJORS.has(activeSym) ? 'perp' : 'hip3_perp'}
height={ROW1_H - 130}
/>
</div>
<div style={{ ...sc, borderRight: cellBorder, height: ROW1_H, overflow: 'hidden' }}>
<OrderBook symbol={activeSym} markPrice={positions?.find((p) => baseLabel(p.symbol) === activeSym)?.entry_price} />
<OrderBook symbol={activeSym} demo={on} markPrice={positions?.find((p) => baseLabel(p.symbol) === activeSym)?.entry_price} />
</div>
<div style={{ ...sc, height: ROW1_H, display: 'flex', flexDirection: 'column', minHeight: 0 }}>
<SignalMatrix items={signalRank?.items} active={activeSym} onSelect={setSelectedSym} />
<SignalMatrix items={signalRank?.items} max={18} active={activeSym} onSelect={setSelectedSym} />
{/* the live K-line always sits under the selector and flexes to fill */}
<div className="tm-rule" style={{ margin: '10px 0 8px' }} />
<div style={{ flex: 1, minHeight: 0 }}>
<KlineChart symbol={activeSym} fill />
<KlineChart symbol={activeSym} fill demo={on} />
</div>
</div>
</div>

View File

@@ -0,0 +1,47 @@
/**
* Shared constants for the dashboard demo/showcase mode. US-equity-led synthetic
* universe (these are real xyz-dex markets so the cost/liq heatmap still resolves)
* plus plausible seed prices for the synthetic order book / candle feeds.
*
* This drives the "Demo" presentation mode only. It never touches the backend,
* the live trader, or any real account — it is purely a client-side animation
* layer for product walkthroughs.
*/
export const DEMO_UNIVERSE = [
// longs (bullish book)
'SP500', 'NVDA', 'MU', 'GOOGL', 'TSM', 'META', 'AMD', 'AAPL', 'MSFT', 'AMZN',
'NFLX', 'TSLA', 'AVGO', 'NBIS', 'XYZ100', 'PLTR', 'TXN', 'LRCX', 'AMAT', 'MRVL',
// short book (bearish names — see SHORT_SET in the engine)
'INTC', 'SPCX', 'SKHX', 'SMCI', 'ARM', 'QCOM', 'COIN', 'ORCL', 'DRAM', 'CRM',
'HOOD', 'SNOW',
]
// Lead instrument for the price panels (real heatmap + resolvable book/candles).
export const DEMO_ACTIVE_SYMBOL = 'SP500'
const DEMO_SEED_PX: Record<string, number> = {
SP500: 6485, NVDA: 184.2, MU: 142.6, GOOGL: 351.8, TSM: 451.3, META: 723.5,
AMD: 168.4, AAPL: 245.9, MSFT: 498.2, AMZN: 228.4, NFLX: 921.5, TSLA: 412.8,
AVGO: 358.1, NBIS: 266.1, XYZ100: 1182, PLTR: 78.4, TXN: 205.3, LRCX: 102.6,
AMAT: 218.7, MRVL: 118.2, INTC: 41.2, SPCX: 64.3, SKHX: 88.7, SMCI: 44.1,
ARM: 162.4, QCOM: 178.9, COIN: 312.5, ORCL: 192.3, DRAM: 72.4, CRM: 342.1,
HOOD: 58.6, SNOW: 198.4,
}
/** Stable plausible seed price for a base symbol (deterministic fallback). */
export function demoSeedPrice(base: string): number {
const b = base.toUpperCase().replace(/^XYZ:/, '')
if (DEMO_SEED_PX[b]) return DEMO_SEED_PX[b]
let h = 0
for (let i = 0; i < b.length; i++) h = (h * 31 + b.charCodeAt(i)) % 100000
return 40 + (h % 900)
}
/** Reasonable tick size for a price level given its magnitude. */
export function demoTick(px: number): number {
if (px >= 1000) return 1
if (px >= 100) return 0.1
if (px >= 10) return 0.05
return 0.01
}

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import { useEffect, useRef, useState } from 'react'
import type {
AccountInfo,
Position,
DecisionRecord,
SystemStatus,
TraderFullStats,
PositionHistoryResponse,
HistoricalPosition,
SymbolStats,
} from '../../types'
import type {
FlowMarketsResponse,
FlowMarketItem,
SignalRankingResponse,
SignalRankItem,
} from '../api/data'
import { DEMO_UNIVERSE, DEMO_ACTIVE_SYMBOL, demoSeedPrice } from './demoUniverse'
/**
* useDemoEngine — a client-side showcase data generator. When `active`, it
* synthesises a fast-evolving, profitable-looking US-equity trading dataset that
* mirrors the real dashboard data shapes, so every panel animates for a product
* walkthrough. Returns null when inactive (the dashboard then uses real data).
*
* No network, no backend, no real account — pure presentation layer.
*/
const TICK_MS = 200
const INITIAL = 1_000_000
export interface DemoDataset {
status: SystemStatus
account: AccountInfo
positions: Position[]
decisions: DecisionRecord[]
fullStats: TraderFullStats
history: PositionHistoryResponse
config: {
scan_interval_minutes: number
ai_model: string
strategy_name: string
btc_eth_leverage: number
altcoin_leverage: number
}
flow: FlowMarketsResponse
signalRank: SignalRankingResponse
activeSymbol: string
}
interface PosState {
symbol: string
side: 'long' | 'short'
entry: number
mark: number
qty: number
lev: number
}
interface TradeState {
id: number
symbol: string
side: 'long' | 'short'
entry: number
exit: number
qty: number
pnl: number
fee: number
lev: number
}
interface SimState {
frame: number
cycle: number
realized: number
fee: number
wins: number
losses: number
grossWin: number
grossLoss: number
nextId: number
decisionTs: number
positions: PosState[]
trades: TradeState[]
// per-symbol flow noise so the bars jiggle independently
flowNet: Record<string, number>
signalScore: Record<string, number>
}
const rnd = (a: number, b: number) => a + Math.random() * (b - a)
const pick = <T,>(arr: T[]): T => arr[Math.floor(Math.random() * arr.length)]
// A fixed "short book" — these symbols are short EVERYWHERE (flow outflow,
// bearish signal, short positions, decision candidates) so the topology's
// short row carries connected flow lines through every layer. The rest are long.
const SHORT_SET = new Set([
'INTC', 'SPCX', 'SKHX', 'SMCI', 'ARM', 'QCOM', 'COIN', 'ORCL', 'DRAM', 'CRM', 'HOOD', 'SNOW',
])
const LONG_POOL = DEMO_UNIVERSE.filter((s) => !SHORT_SET.has(s))
function sideFor(symbol: string): 'long' | 'short' {
return SHORT_SET.has(symbol.toUpperCase()) ? 'short' : 'long'
}
function newPosition(symbol: string): PosState {
const entry = demoSeedPrice(symbol) * rnd(0.985, 1.015)
const side = sideFor(symbol)
const lev = pick([10, 10, 15, 20, 20])
const notional = rnd(35_000, 110_000)
return { symbol, side, entry, mark: entry, qty: notional / entry, lev }
}
function initState(): SimState {
// index 0 = lead (drives the price panels). Then a deep US-equity book — a
// long bias plus a sizable short book so the topology fills both rows densely.
const longs = [DEMO_ACTIVE_SYMBOL, 'NVDA', 'GOOGL', 'TSM', 'META', 'AMD', 'MSFT', 'AMZN', 'AVGO']
const shorts = ['INTC', 'SPCX', 'SKHX', 'SMCI', 'ARM', 'QCOM']
const positions = [...longs, ...shorts].map((s) => {
const p = newPosition(s)
// start each slightly in profit so the board opens green
const fav = rnd(0.006, 0.03)
p.mark = p.side === 'long' ? p.entry * (1 + fav) : p.entry * (1 - fav)
return p
})
const flowNet: Record<string, number> = {}
const signalScore: Record<string, number> = {}
DEMO_UNIVERSE.forEach((s, i) => {
flowNet[s] = rnd(120_000, 2_400_000) * (1 - i / (DEMO_UNIVERSE.length + 4))
// short book scores negative (bearish), everything else positive (bullish)
signalScore[s] = SHORT_SET.has(s) ? rnd(-1.6, -0.4) : rnd(0.4, 2.0)
})
return {
frame: 0,
cycle: 1,
realized: 312_000,
fee: 2840,
wins: 412,
losses: 214,
grossWin: 690_000,
grossLoss: 286_000,
nextId: 5000,
decisionTs: Date.now(),
positions,
trades: [],
flowNet,
signalScore,
}
}
function upnl(p: PosState): number {
const notional = p.qty * p.entry
const move = (p.mark - p.entry) / p.entry
return notional * move * (p.side === 'long' ? 1 : -1)
}
function step(S: SimState) {
S.frame++
// drift each position's mark with a favourable bias so the book trends green
for (const p of S.positions) {
const bias = p.side === 'long' ? 0.00028 : -0.00028
p.mark *= 1 + bias + rnd(-0.0011, 0.0011)
// keep within a believable favourable band of entry
const move = (p.mark - p.entry) / p.entry
const dir = p.side === 'long' ? 1 : -1
const signed = move * dir
if (signed < -0.014) p.mark = p.entry * (1 - dir * 0.014)
if (signed > 0.075) p.mark = p.entry * (1 + dir * 0.075)
}
// roll a winning trade every ~16 frames. Only rotate a non-lead LONG slot:
// index 0 (lead, drives price panels) and the short book stay fixed so the
// order book stays on one symbol and the topology keeps its short flow lines.
const rotatable = S.positions
.map((p, i) => ({ p, i }))
.filter((x) => x.i !== 0 && x.p.side === 'long')
if (S.frame % 16 === 0 && rotatable.length) {
let bestIdx = rotatable[0].i
for (const x of rotatable) {
if (upnl(x.p) > upnl(S.positions[bestIdx])) bestIdx = x.i
}
const isWin = Math.random() < 0.7
const closed = S.positions[bestIdx]
const raw = upnl(closed)
const pnl = isWin ? Math.max(Math.abs(raw), rnd(600, 5200)) : -rnd(250, 2100)
const fee = rnd(12, 95)
S.trades.unshift({
id: S.nextId++,
symbol: closed.symbol,
side: closed.side,
entry: closed.entry,
exit: closed.mark,
qty: closed.qty,
pnl,
fee,
lev: closed.lev,
})
if (S.trades.length > 40) S.trades.pop()
S.realized += pnl - fee
S.fee += fee
if (pnl >= 0) {
S.wins++
S.grossWin += pnl
} else {
S.losses++
S.grossLoss += -pnl
}
// reopen a fresh LONG US-equity position (avoid duplicates of current book)
const held = new Set(S.positions.map((p) => p.symbol))
const candidates = LONG_POOL.filter((s) => !held.has(s))
S.positions[bestIdx] = newPosition(candidates.length ? pick(candidates) : closed.symbol)
}
// new orchestration cycle every ~24 frames
if (S.frame % 24 === 0) {
S.cycle++
S.decisionTs = Date.now()
}
// jiggle flow + signal noise so those panels stay alive (short book stays
// bearish, longs stay bullish — keeps signal/topology directions consistent)
for (const s of DEMO_UNIVERSE) {
S.flowNet[s] = Math.max(20_000, S.flowNet[s] * rnd(0.97, 1.035))
const next = S.signalScore[s] + rnd(-0.08, 0.09)
S.signalScore[s] = SHORT_SET.has(s)
? Math.max(-2, Math.min(-0.1, next))
: Math.max(0.1, Math.min(2.4, next))
}
}
function build(S: SimState): DemoDataset {
const liveUpnl = S.positions.reduce((s, p) => s + upnl(p), 0)
const equity = INITIAL + S.realized + liveUpnl
const pnl = equity - INITIAL
const marginUsed = S.positions.reduce((s, p) => s + (p.qty * p.entry) / p.lev, 0)
const total = S.wins + S.losses
const account = {
total_equity: equity,
wallet_balance: equity - liveUpnl,
unrealized_profit: liveUpnl,
total_unrealized_profit: liveUpnl, // RiskRadar reads this extra field
available_balance: Math.max(0, equity - marginUsed),
total_pnl: pnl,
total_pnl_pct: (pnl / INITIAL) * 100,
initial_balance: INITIAL,
daily_pnl: S.realized + liveUpnl,
position_count: S.positions.length,
margin_used: marginUsed,
margin_used_pct: Math.min(82, (marginUsed / equity) * 100 * 1.6),
} as unknown as AccountInfo
const positions: Position[] = S.positions.map((p) => {
const u = upnl(p)
const notional = p.qty * p.entry
const margin = notional / p.lev
const liq = p.side === 'long' ? p.entry * (1 - 0.9 / p.lev) : p.entry * (1 + 0.9 / p.lev)
return {
symbol: p.symbol,
side: p.side,
entry_price: p.entry,
mark_price: p.mark,
quantity: p.qty,
leverage: p.lev,
unrealized_pnl: u,
unrealized_pnl_pct: (u / margin) * 100,
liquidation_price: liq,
margin_used: margin,
}
})
const winRate = total > 0 ? (S.wins / total) * 100 : 0
const avgWin = S.wins > 0 ? S.grossWin / S.wins : 0
const avgLoss = S.losses > 0 ? S.grossLoss / S.losses : 0
const fullStats: TraderFullStats = {
total_trades: total,
win_trades: S.wins,
loss_trades: S.losses,
win_rate: winRate,
profit_factor: S.grossLoss > 0 ? S.grossWin / S.grossLoss : S.grossWin,
sharpe_ratio: 2.05 + Math.sin(S.frame / 90) * 0.12,
total_pnl: pnl,
total_fee: S.fee,
avg_win: avgWin,
avg_loss: avgLoss,
max_drawdown_pct: 0.052,
}
// recent closed trades
const histPositions = S.trades.map(
(t) =>
({
id: t.id,
symbol: t.symbol,
side: t.side,
quantity: t.qty,
entry_price: t.entry,
exit_price: t.exit,
exit_time: new Date(S.decisionTs - (S.nextId - t.id) * 47_000).toISOString(),
realized_pnl: t.pnl,
fee: t.fee,
leverage: t.lev,
status: 'closed',
close_reason: t.pnl >= 0 ? 'take_profit' : 'stop_loss',
}) as unknown as HistoricalPosition,
)
// per-symbol aggregates
const bySym = new Map<string, { n: number; w: number; pnl: number }>()
for (const t of S.trades) {
const e = bySym.get(t.symbol) || { n: 0, w: 0, pnl: 0 }
e.n++
if (t.pnl >= 0) e.w++
e.pnl += t.pnl
bySym.set(t.symbol, e)
}
const symbolStats: SymbolStats[] = [...bySym.entries()]
.map(([symbol, e]) => ({
symbol,
total_trades: e.n,
win_trades: e.w,
win_rate: e.n > 0 ? (e.w / e.n) * 100 : 0,
total_pnl: e.pnl,
avg_pnl: e.n > 0 ? e.pnl / e.n : 0,
avg_hold_mins: Math.round(rnd(6, 38)),
}))
.sort((a, b) => b.total_trades - a.total_trades)
const history = {
positions: histPositions,
stats: null,
symbol_stats: symbolStats,
direction_stats: [],
} as unknown as PositionHistoryResponse
// flow markets — long names show net BUYING (inflow), the short book shows net
// SELLING (outflow) so the topology's FLOW layer feeds the short row too.
const mkItem = (s: string, net: number): FlowMarketItem => {
const buyShare = net >= 0 ? 0.56 + Math.min(0.3, net / 6_000_000) : 0.4
const gross = Math.abs(net)
return {
key: `xyz:${s}`,
marketType: 'hip3_perp',
symbol: s,
netFlow: String(Math.round(net)),
buyNotional: String(Math.round(gross * buyShare)),
sellNotional: String(Math.round(gross * (1 - buyShare))),
trades: Math.round(rnd(150, 9000)),
latestPrice: String(demoSeedPrice(s)),
}
}
const inflow: FlowMarketItem[] = LONG_POOL.slice()
.sort((a, b) => S.flowNet[b] - S.flowNet[a])
.map((s) => mkItem(s, S.flowNet[s]))
const outflow: FlowMarketItem[] = [...SHORT_SET].map((s) => mkItem(s, -Math.abs(S.flowNet[s]) * 0.6))
const flow: FlowMarketsResponse = { data: { by: 'netFlow', window: '1h', inflow, outflow } }
// signal ranking — mostly bullish US equities
const ranked = [...DEMO_UNIVERSE].sort((a, b) => S.signalScore[b] - S.signalScore[a])
const items: SignalRankItem[] = ranked.map((s, i) => {
const score = S.signalScore[s]
return {
rank: i + 1,
symbol: s,
market_type: 'hip3_perp',
bias: SHORT_SET.has(s) ? 'bearish' : 'bullish',
score: Math.round(score * 100) / 100,
category: 'us_equity',
}
})
const signalRank: SignalRankingResponse = { items }
// decision candidates — top longs plus the short book, so the DECISION layer
// (and execution log) carries shorts through to EXECUTE/HOLD.
const candidates = [...new Set([...ranked.slice(0, 8), ...SHORT_SET])]
const decisions: DecisionRecord[] = Array.from({ length: 4 }).map((_, k) => {
const cyc = S.cycle - k
const acts = S.positions.slice(0, 6).map((p) => ({
action: 'hold',
symbol: p.symbol,
quantity: p.qty,
leverage: p.lev,
price: p.mark,
confidence: Math.round(rnd(62, 88)),
reasoning: 'Signal Lab confirms trend; cost/liq structure supports the level.',
timestamp: new Date(S.decisionTs - k * 300_000).toISOString(),
}))
return {
timestamp: new Date(S.decisionTs - k * 300_000).toISOString(),
cycle_number: cyc,
system_prompt: '',
input_prompt: '',
cot_trace:
'US-equity tape is broadly bid: SP500 and semis (NVDA, MU, TSM) lead net inflow with bullish Signal Lab bias. Holding winners ≥ entry, trimming only on structure breaks.',
decision_json: '',
account_state: {} as never,
positions: [],
candidate_coins: candidates,
decisions: acts as never,
execution_log: S.positions
.slice(0, 6)
.map((p) => `${p.symbol} hold succeeded`),
success: true,
} as unknown as DecisionRecord
})
const status = {
is_running: true,
call_count: S.cycle,
scan_interval: '5m',
ai_model: 'claw402',
strategy_type: 'ai_trading',
} as unknown as SystemStatus
return {
status,
account,
positions,
decisions,
fullStats,
history,
config: {
scan_interval_minutes: 5,
ai_model: 'claw402',
strategy_name: 'NOFX Claw402 Auto Strategy',
btc_eth_leverage: 10,
altcoin_leverage: 10,
},
flow,
signalRank,
activeSymbol: DEMO_ACTIVE_SYMBOL,
}
}
export function useDemoEngine(active: boolean): DemoDataset | null {
const ref = useRef<SimState | null>(null)
const [, tick] = useState(0)
useEffect(() => {
if (!active) {
ref.current = null
return
}
ref.current = initState()
tick((n) => n + 1)
const id = setInterval(() => {
if (ref.current) {
step(ref.current)
tick((n) => n + 1)
}
}, TICK_MS)
return () => clearInterval(id)
}, [active])
if (!active || !ref.current) return null
return build(ref.current)
}