feat(live): SHADOW MODE TP01 su Deribit mainnet (sola lettura) + dashboard 3-way

Validazione esecuzione di TP01 a RISCHIO ZERO: gira il loop live contro dati/conto/posizioni REALI
del mainnet, costruisce gli ordini di ribilancio esatti e li STAMPA invece di inviarli. Niente
testnet (e' la causa del reset v2.0.0: feed farlocco) -> shadow su mainnet reale + micro-test a
size minima come unica via per il fill (passo successivo).

- src/live/deribit.py  : client Deribit mainnet SOLA LETTURA (ticker/conto/posizioni via Cerbero MCP)
  + costruttore ordini deterministico (notional->contratti, step BTC $10/ETH $1, quantizzazione,
  delta vs posizione). Nessun metodo di trading, by design.
- src/live/shadow.py   : shadow_report() condiviso CLI+dashboard (niente drift); degrada con grazia
  se il mainnet non risponde.
- scripts/live/live_trend.py : CLI shadow (--no-net offline, --equity override). Verificato su
  mainnet reale: conto $598.07, posizioni flat, TP01 flat -> 0 ordini, parita' col paper OK.
- src/live/dashboard.py : box "Shadow live" + titolo/note al 3-way (TP01+XS01+VRP01).
- tests/test_live_shadow.py : 9 test deterministici (quantizzazione, sizing 50/50, entry/exit/None,
  parita' live==backtest). Suite 26/26.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Adriano Dal Pastro
2026-06-20 14:01:12 +00:00
parent 9ed2ea4b13
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"""Stato SHADOW di TP01 (Deribit mainnet, SOLA LETTURA): target causali + conto/posizioni REALI +
ordini di ribilancio COSTRUITI (mai inviati). Modulo condiviso da `scripts/live/live_trend.py` (CLI)
e dalla dashboard, cosi' i due non divergono. Robusto ai fallimenti di rete: degrada a offline/flat
senza sollevare eccezioni (la dashboard non deve crashare se il mainnet non risponde)."""
from __future__ import annotations
import json
from pathlib import Path
import pandas as pd
from src.backtest.harness import load
from src.live.deribit import INSTRUMENT, DeribitRead, build_rebalance_order
from src.strategies.trend_portfolio import CANONICAL, TrendPortfolio, resample_1d
PROJECT_ROOT = Path(__file__).resolve().parents[2]
ASSETS = ["BTC", "ETH"]
WEIGHT = 0.5
FALLBACK_CAPITAL = 2000.0
PAPER_STATE = PROJECT_ROOT / "data" / "paper_trend" / "state.json"
def _safe_client() -> DeribitRead | None:
try:
return DeribitRead()
except Exception:
return None
def _marks(client, dfs):
marks, src = {}, {}
for a in ASSETS:
if client is None:
marks[a], src[a] = float(dfs[a]["close"].iloc[-1]), "close certificata"
continue
try:
marks[a], src[a] = client.mark_price(INSTRUMENT[a]), "mainnet"
except Exception as e:
marks[a], src[a] = float(dfs[a]["close"].iloc[-1]), f"fallback close ({type(e).__name__})"
return marks, src
def _positions(client):
if client is None:
return {a: 0.0 for a in ASSETS}, "offline -> assunto flat"
pos, note = {}, "mainnet"
for a in ASSETS:
try:
pos[a] = client.position_usd(INSTRUMENT[a])
except Exception as e:
pos[a], note = 0.0, f"read fallito ({type(e).__name__}) -> assunto flat"
return pos, note
def _equity(client, marks):
if client is None:
return None, "offline"
try:
eq = float(client.account_summary("USDC").get("equity") or 0)
if eq > 1:
return eq, "mainnet USDC"
except Exception:
pass
tot, any_ok = 0.0, False
for a in ASSETS:
try:
eq = float(client.account_summary(a).get("equity") or 0)
tot += eq * marks[a]
any_ok = True
except Exception:
pass
if any_ok and tot > 1:
return tot, "mainnet coin-margined"
return None, "conto flat / non finanziato"
def shadow_report(offline: bool = False, equity_override: float | None = None) -> dict:
"""Calcola lo stato shadow completo. NON invia nulla. Ritorna un dict serializzabile."""
dfs = {a: resample_1d(load(a, "1h")) for a in ASSETS}
tp = TrendPortfolio(**CANONICAL)
targets = {a: tp.current_target(dfs[a]) for a in ASSETS}
last_ts = min(int(dfs[a]["timestamp"].iloc[-1]) for a in ASSETS)
client = None if offline else _safe_client()
marks, marks_src = _marks(client, dfs)
positions, pos_src = _positions(client)
real_eq, eq_src = _equity(client, marks)
paper = json.loads(PAPER_STATE.read_text()) if PAPER_STATE.exists() else None
paper_cap = float(paper["capital"]) if paper else FALLBACK_CAPITAL
paper_pos = paper.get("positions") if paper else None
paper_ts = int(paper["last_ts"]) if paper else 0
equity = equity_override if equity_override is not None else (real_eq if real_eq else paper_cap)
eq_basis = ("override" if equity_override is not None
else eq_src if real_eq else "paper capital (ipotetico: conto non finanziato)")
assets, orders = [], []
for a in ASSETS:
inst = INSTRUMENT[a]
order = build_rebalance_order(inst, targets[a], WEIGHT, equity, positions[a])
if order:
orders.append(order)
parity = None
if paper_pos is not None:
parity = abs(float(paper_pos.get(a, 0.0)) - targets[a]) < 1e-9
assets.append(dict(
asset=a, instrument=inst, target=targets[a],
target_notional=WEIGHT * targets[a] * equity,
position_usd=positions[a], mark=marks[a], mark_src=marks_src[a],
order=order, paper=(float(paper_pos.get(a, 0.0)) if paper_pos else None), parity=parity,
))
return dict(
last_data=str(pd.Timestamp(last_ts, unit="ms", tz="UTC").date()),
online=(client is not None and marks_src.get("BTC") == "mainnet"),
real_equity=real_eq, equity=equity, eq_basis=eq_basis,
pos_src=pos_src, assets=assets, orders=orders,
flat=all(abs(targets[a]) < 1e-9 for a in ASSETS),
paper_aligned=(paper_ts == last_ts),
)