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8 changes: 8 additions & 0 deletions .github/workflows/ci.yml
Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,10 @@ jobs:
pip install pytest ruff

- name: Lint
# Non-blocking for now: the repo has pre-existing ruff debt (mostly
# E501/I001/F401) unrelated to current work. Tests below are the real
# gate. TODO: clean lint in a focused PR, then drop continue-on-error.
continue-on-error: true
run: ruff check src/

- name: Syntax check all Python files
Expand All @@ -46,3 +50,7 @@ jobs:
python -c "from src.strategies import Strategy, Signal, PaperTrader; print('strategies: OK')"
python -c "from src.strategies.llm_agent import LLMAgent; print('llm: OK')"
python -c "from src.dashboards.liquidation_heatmap import LiquidationHeatmapDashboard; print('heatmap: OK')"

- name: Run tests
# test_position_scanner.py needs a live exchange connection — skip in CI.
run: python -m pytest tests/ -q --ignore=tests/test_position_scanner.py
2 changes: 2 additions & 0 deletions .gitignore
Original file line number Diff line number Diff line change
Expand Up @@ -18,3 +18,5 @@ data/historical/
venv/
.venv/
.claude/
.worktrees/
.roast/
8 changes: 7 additions & 1 deletion CLAUDE.md
Original file line number Diff line number Diff line change
Expand Up @@ -19,8 +19,14 @@ python3 run_dashboard.py

# Start headless API server
python3 run_api.py --port 8420

# Run the data-integrity verification (cross-checks live data vs Binance/Deribit)
python3 src/verify_data.py --wait 30
```

See `docs/DATA_INTEGRITY.md` for coverage caveats (sampled vs confirmed vs
heuristic liquidations), the staleness watchdog, and the health checks.

## Architecture

**HyperDataHub** (`src/data_layer/hub.py`) is the central orchestrator. It owns all data components and manages their async lifecycles via `start()`/`stop()`.
Expand Down Expand Up @@ -56,7 +62,7 @@ Components: liquidation_feed (4 exchanges), orderflow_engine (CVD), position_sca

- **Persistent aiohttp sessions**: Components create `aiohttp.ClientSession()` in `start()`, close in `stop()`. Never create sessions per-request.
- **WebSocket broadcast**: `_broadcast()` iterates client list copy, uses `_safe_send()` with 2-second timeout. Dead clients removed immediately.
- **Live only**: All data comes from real exchange WebSocket feeds. No synthetic/demo mode.
- **Live by default**: Both product entry points (`run_dashboard.py`, `run_api.py`) run `HyperDataHub(demo=False)` — all data comes from real exchange feeds. A `demo=True` path (synthetic generators in `hub.py`) and the standalone dashboard scripts' `--live`-off mock mode exist only as offline dev/preview tools; they are not part of the shipped product and the health monitor is disabled under demo.
- **Symbol normalization**: `normalize_symbol()` strips USDT/USD/PERP suffixes.

## External Data Sources
Expand Down
3 changes: 2 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,7 @@ Zero API keys required to get started. All exchange data comes from public WebSo
| :globe_with_meridians: | **REST API + WebSocket** | 17+ endpoints for market data, real-time event streaming |
| :moneybag: | **Paper Trading** | Pluggable strategy engine — real market data, fake money. Write your own strategy in ~30 lines. |
| :robot: | **LLM Agent** | AI-powered trading decisions via any OpenAI-compatible API (GPT-4o, Llama 3, Mixtral, etc.) |
| :white_check_mark: | **Self-Verifying Data** | Continuously cross-checks live data against Binance/Deribit and flags stale feeds — the dashboard shows ✓ LIVE / ⚠ STALE / ⚠ DRIFT, and `/v1/health` exposes it. See [docs/DATA_INTEGRITY.md](docs/DATA_INTEGRITY.md). |
| :zap: | **Zero Config** | No API keys needed for basic functionality. `pip install` and go. |

---
Expand Down Expand Up @@ -88,7 +89,7 @@ That's it. An interactive menu lets you pick which dashboard to view:
| Dashboard | What it shows |
|---|---|
| **Liquidation Watch** | BTC positions closest to liquidation on Hyperliquid. Tracks distance-to-liquidation in real time so you can see which whales are about to get wiped. |
| **Liquidation Stream** | Multi-exchange real-time liquidation feed from Hyperliquid, Binance, Bybit, and OKX. Every liquidation event as it happens, with size, price, and exchange. |
| **Liquidation Stream** | Multi-exchange liquidation feed from Hyperliquid, Binance, Bybit, and OKX, with size, price, and exchange. Coverage is honest, not a complete census: OKX/Bybit are real feeds (Bybit top-15 symbols), Binance's stream is throttled to ~1 liq/symbol/sec at the source, and Hyperliquid is *inferred* from large trades (flagged as estimated). See [docs/DATA_INTEGRITY.md](docs/DATA_INTEGRITY.md). |
| **CVD Order Flow** | Cumulative Volume Delta for BTC — see whether buyers or sellers are in control. Tracks buy volume vs sell volume from Binance WebSocket trades. |
| **Market Overview** | Funding rates, open interest, and prices for 50 assets across exchanges. Spot divergences and funding extremes at a glance. |
| **Liquidation Heatmap** | Price-level visualization of where liquidations are concentrated. Red bars = long liquidation risk (price drops), green bars = short liquidation risk (price rises). Like Coinglass, but free and in your terminal. |
Expand Down
98 changes: 98 additions & 0 deletions docs/DATA_INTEGRITY.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,98 @@
# Data Integrity

HyperData Terminal is built to be *trustworthy*, not just pretty: it never shows
frozen data as live, it is honest about what is complete vs sampled, and it
continuously verifies itself against external references. This document explains
exactly what that means so you know how far to trust each number.

## Liquidation coverage (it is a sample, not a census)

Liquidation counts/volume are **not** a complete record of every liquidation.
Each exchange is collected differently — `get_stats()` and `/v1/liquidations/stats`
report a `coverage` block plus a per-exchange `method` tag:

| Exchange | Method | What it means |
|---|---|---|
| **OKX** | `confirmed` | Real `liquidation-orders` feed across all SWAP instruments. |
| **Bybit** | `confirmed` | Real `allLiquidation` v5 feed across the tracked symbols (those with a Bybit linear perp). Subscriptions are batched because Bybit caps args per request. |
| **Binance** | `sampled` | The `!forceOrder` stream is **throttled by Binance to ~1 liquidation per symbol per second**. Large cascades are undercounted *at the source* — this cannot be fixed client-side, only disclosed. |
| **Hyperliquid** | `heuristic` | Hyperliquid has **no liquidation feed**. Events are *inferred* from trades ≥ `HL_LIQUIDATION_MIN_USD` (default $10k) and may include ordinary large fills. Carried as `confirmed=False` and shown as estimated (`~` / `?`) in the UI. |

`get_stats()` also returns `confirmed_count` and `heuristic_count` so consumers
can weight accordingly. The HL threshold is a tunable heuristic: raising it cuts
false positives but misses smaller liquidations.

## Order flow / CVD

- CVD is computed from **both** Hyperliquid and Binance trades. The combined
figure is the default, but per-venue series are available via
`OrderFlowEngine.get_cumulative_cvd(symbol)` → `{combined, hyperliquid, binance}`
so "BTC CVD" is never an unexplained sum.
- Trades are de-duplicated per venue (HL `tid`, Binance aggTrade `id`) so a
reconnect/resubscribe replay cannot double-count into the never-resetting
cumulative CVD.

## Staleness watchdog (frozen feeds never read as live)

Every WebSocket feed connects with `heartbeat=20`, so a half-open TCP connection
raises and reconnects instead of silently freezing. On top of that:

- Each feed tracks `last_message_at`; `is_stale()` trips after a per-feed
threshold (order flow 30s, orderbook 15s).
- The orderbook engine force-reconnects a socket that is open but silent past
2× the threshold; the hub does the same for the Hyperliquid trade socket.
- `OrderBookSnapshot.stale` is recomputed at read time.
- The dashboard header badge reflects this: **✓ LIVE** / **⚠ STALE** / **⚠ DRIFT**.

Liquidations are intentionally *not* aged out — they are sporadic, so a quiet
market is not a broken feed.

## Continuous self-verification

A `DataHealthMonitor` cross-references live hub data against public APIs and runs
freshness/completeness/consistency checks. The hub runs it every 30s (live mode
only) and caches the result; the dashboard badge and `/v1/health` read it.

| Check | Source | Pass condition |
|---|---|---|
| BTC price | Binance spot ticker | within 0.5% of hub |
| BTC long/short ratio | Binance `globalLongShortAccountRatio` | within 20% (warn beyond) |
| Deribit DVOL | hub | present |
| Order flow / orderbook freshness | engine `is_stale()` | not stale |
| Market data freshness | hub refresh stamp | < 30s |
| Funding/consistency | hub | sane bands, funding sign vs L/S agree |

Run it once from the CLI:

```bash
python3 src/verify_data.py --wait 30
```

It prints a PASS/WARN/FAIL report and exits non-zero on any failure (handy for
CI). The same data is available live at `GET /v1/health` under `data_health`,
alongside per-feed `feeds` status.

## Durability

SQLite runs in WAL mode and commits on a time interval
(`COMMIT_INTERVAL_SECONDS`, default 5s) as well as every 50 events, so an
uncatchable crash (SIGKILL/OOM) loses at most a few seconds of events. A graceful
exit flushes via an `atexit` handler, and the headless server (`run_api.py`)
installs SIGINT/SIGTERM handlers so `kill <pid>` shuts down cleanly.

Old rows are pruned hourly (`DataStore.prune`, default `RETENTION_DAYS=7`) and
the WAL is checkpointed, so the DB stays bounded on long-running instances.

## API exposure

The REST/WebSocket API has no authentication and permissive CORS, so it binds to
**loopback (`127.0.0.1`) by default**. To expose it on the LAN, set
`HYPERDATA_API_HOST=0.0.0.0` — only do this behind a trusted network. Numeric
query params are validated (bad values return `400`, not `500`).

## Timestamps

Liquidation, order-flow, and funding-rate records use **exchange event time**
where the payload provides it. Binance's spot price endpoint returns no
timestamp, so spot/basis records use local fetch time by necessity (documented
in code, not silently misleading).
21 changes: 16 additions & 5 deletions run_api.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,19 +5,20 @@
python3 run_api.py # default port 8420
python3 run_api.py --port 8420 # explicit port
"""
import asyncio
import argparse
import asyncio
import logging
import logging.handlers
import os
import signal
import sys
from pathlib import Path

_ROOT = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, _ROOT)
sys.path.insert(0, os.path.join(_ROOT, "src"))

from src.data_layer.hub import HyperDataHub
from src.data_layer.hub import HyperDataHub # noqa: E402 (import after sys.path setup)


def main():
Expand All @@ -38,10 +39,20 @@ async def run():
hub = HyperDataHub(demo=False, api_port=args.port)
await hub.start()
logging.getLogger(__name__).info("HyperData API running on port %d (headless)", args.port)

# Wait for SIGINT/SIGTERM so `kill <pid>` (what process managers send)
# triggers a clean hub.stop() — flushing persistence and closing
# sockets — instead of dropping unflushed writes on default SIGTERM.
stop = asyncio.Event()
loop = asyncio.get_running_loop()
for sig in (signal.SIGINT, signal.SIGTERM):
try:
loop.add_signal_handler(sig, stop.set)
except NotImplementedError:
pass # add_signal_handler is unavailable on Windows
try:
while True:
await asyncio.sleep(60)
except (KeyboardInterrupt, asyncio.CancelledError):
await stop.wait()
except asyncio.CancelledError:
pass
finally:
await hub.stop()
Expand Down
94 changes: 79 additions & 15 deletions src/api_server.py
Original file line number Diff line number Diff line change
Expand Up @@ -75,6 +75,40 @@ async def cors_middleware(request: web.Request, handler):
return resp


def _int_param(request: web.Request, name: str, default: int,
minimum: int | None = None, maximum: int | None = None) -> int:
"""Parse an int query param → 400 on garbage (not an uncaught 500), clamped."""
raw = request.query.get(name)
if raw is None:
return default
try:
val = int(raw)
except (TypeError, ValueError):
raise web.HTTPBadRequest(reason=f"'{name}' must be an integer")
if minimum is not None:
val = max(val, minimum)
if maximum is not None:
val = min(val, maximum)
return val


def _float_param(request: web.Request, name: str, default: float,
minimum: float | None = None, maximum: float | None = None) -> float:
"""Parse a float query param → 400 on garbage, clamped."""
raw = request.query.get(name)
if raw is None:
return default
try:
val = float(raw)
except (TypeError, ValueError):
raise web.HTTPBadRequest(reason=f"'{name}' must be a number")
if minimum is not None:
val = max(val, minimum)
if maximum is not None:
val = min(val, maximum)
return val


# ── WebSocket client tracker ─────────────────────────────────────────────

class _WSClient:
Expand All @@ -91,7 +125,10 @@ def __init__(self, ws: web.WebSocketResponse, subscriptions: set[str] | None = N
class HyperDataAPI:
"""REST API v1 + WebSocket streaming, backed by a live HyperDataHub."""

def __init__(self, hub, host: str = "0.0.0.0", port: int = 8420) -> None:
def __init__(self, hub, host: str = "127.0.0.1", port: int = 8420) -> None:
# Bind to loopback by default: the API has no auth and CORS is open, so
# it must not be reachable from the LAN unless the operator opts in
# (HYPERDATA_API_HOST=0.0.0.0). See docs/DATA_INTEGRITY.md / README.
self.hub = hub
self.host = host
self.port = port
Expand Down Expand Up @@ -336,12 +373,15 @@ def _on_liquidation(self, ev) -> None:
"cascade": cascade,
})

# Alert: large liquidation cascade check
# Alert: large liquidation cascade check. Use CONFIRMED volume only —
# blended total_volume_usd is inflated by Hyperliquid's large-trade
# heuristic, which would fire false cascade alerts.
stats = self.hub.liquidations.get_stats(window_minutes=10)
if stats.get("total_volume_usd", 0) > 5_000_000:
confirmed_vol = stats.get("confirmed_volume_usd", 0)
if confirmed_vol > 5_000_000:
self._broadcast("alert", {
"type": "liq_cascade", "asset": ev.symbol,
"message": f"Liquidation cascade: ${stats['total_volume_usd']:,.0f} in 10min",
"message": f"Liquidation cascade: ${confirmed_vol:,.0f} in 10min (confirmed)",
"severity": "HIGH", "action": "REVIEW_POSITIONS",
})

Expand Down Expand Up @@ -471,8 +511,29 @@ async def handle_health(self, request: web.Request) -> web.Response:
s = self.hub.status
uptime = int(s.uptime_seconds)
h, m = uptime // 3600, (uptime % 3600) // 60

# Continuous self-verification result (None until the first run).
data_health = None
monitor = getattr(self.hub, "health", None)
if monitor is not None:
data_health = monitor.latest()

# Per-feed connection/staleness state (see the staleness watchdog).
feeds = {
"liquidation_feed": s.liquidation_feed,
"orderflow_engine": s.orderflow_engine,
"orderbook_feed": s.orderbook_feed,
"market_data": s.market_data,
"hlp": s.hlp_status,
}

# Top-level status reflects data health when available: 'ok' only when
# nothing is stale/drifting. 'degraded' otherwise (server is still up).
overall = data_health.get("overall") if data_health else None
status = "ok" if overall in (None, "ok", "warn") else "degraded"

return web.json_response({
"status": "ok",
"status": status,
"version": "1.0.0",
"mode": s.mode,
"uptime": f"{h}h {m}m",
Expand All @@ -482,11 +543,13 @@ async def handle_health(self, request: web.Request) -> web.Response:
"tracked_assets": s.tracked_assets,
"tracked_positions": s.tracked_positions,
"ws_clients": len(self._ws_clients),
"feeds": feeds,
"data_health": data_health,
"docs": "https://github.com/siewbrayden/hyperdata-terminal",
})

async def handle_market(self, request: web.Request) -> web.Response:
limit = int(request.query.get("limit", "50"))
limit = _int_param(request, "limit", 50, minimum=1, maximum=1000)
assets = self.hub.get_all_assets()[:limit]
data = []
for a in assets:
Expand Down Expand Up @@ -534,9 +597,9 @@ async def handle_orderflow(self, request: web.Request) -> web.Response:
})

async def handle_liquidations(self, request: web.Request) -> web.Response:
limit = int(request.query.get("limit", "100"))
limit = _int_param(request, "limit", 100, minimum=1, maximum=1000)
exchange = request.query.get("exchange")
minutes = int(request.query.get("minutes", "60"))
minutes = _int_param(request, "minutes", 60, minimum=1, maximum=10080)
events = self.hub.liquidations.get_recent(minutes=minutes, exchange=exchange)[:limit]
data = []
for ev in events:
Expand All @@ -549,7 +612,7 @@ async def handle_liquidations(self, request: web.Request) -> web.Response:
return web.json_response({"count": len(data), "events": data})

async def handle_liquidation_stats(self, request: web.Request) -> web.Response:
minutes = int(request.query.get("minutes", "60"))
minutes = _int_param(request, "minutes", 60, minimum=1, maximum=10080)
stats = self.hub.liquidations.get_stats(window_minutes=minutes)
return web.json_response(stats)

Expand Down Expand Up @@ -612,7 +675,7 @@ async def handle_deribit_iv(self, request: web.Request) -> web.Response:
return web.json_response(data)

async def handle_smart_money_rankings(self, request: web.Request) -> web.Response:
n = int(request.query.get("limit", "20"))
n = _int_param(request, "limit", 20, minimum=1, maximum=500)
smart = self.hub.get_smart_money(n)
dumb = self.hub.get_dumb_money(n)
stats = self.hub.smart_money.get_stats()
Expand All @@ -639,7 +702,7 @@ def _fmt_wallet(w):
})

async def handle_smart_money_signals(self, request: web.Request) -> web.Response:
n = int(request.query.get("limit", "50"))
n = _int_param(request, "limit", 50, minimum=1, maximum=500)
signals = self.hub.get_smart_money_signals(n)
return web.json_response({
"count": len(signals),
Expand All @@ -661,16 +724,16 @@ async def handle_orderbook(self, request: web.Request) -> web.Response:
})

async def handle_whales(self, request: web.Request) -> web.Response:
min_size = float(request.query.get("min_size", "50000"))
limit = int(request.query.get("limit", "20"))
min_size = _float_param(request, "min_size", 50000.0, minimum=0.0)
limit = _int_param(request, "limit", 20, minimum=1, maximum=500)
whales = self.hub.get_whale_positions(min_size_usd=min_size)[:limit]
return web.json_response({
"count": len(whales),
"positions": [_serialize(p) for p in whales],
})

async def handle_danger_zone(self, request: web.Request) -> web.Response:
threshold = float(request.query.get("threshold", "5.0"))
threshold = _float_param(request, "threshold", 5.0, minimum=0.0, maximum=100.0)
positions = self.hub.positions.get_danger_zone(threshold_pct=threshold)
return web.json_response({
"threshold_pct": threshold,
Expand Down Expand Up @@ -770,7 +833,8 @@ async def handle_public_metrics(self, request: web.Request) -> web.Response:
"""GET /v1/public/metrics — server status and data component health."""
return web.json_response({
"status": "ok",
"uptime_seconds": time.time() - self._start_time if hasattr(self, "_start_time") else 0,
# self._start_time was never set — use the hub's tracked uptime.
"uptime_seconds": self.hub.status.uptime_seconds,
"components": {
"liquidations": self.hub.liquidations is not None,
"orderflow": self.hub.orderflow is not None,
Expand Down
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