feat(strategy): F+D+A miglioramenti — auto-pause, vol-harvest, delta dinamico

Implementa tre miglioramenti dalla roadmap di "📚 Strategia" + scaffolding del quarto.
Tutti retro-compatibili: i defaults della golden config disabilitano le nuove funzioni
così il comportamento attuale resta invariato finché l'operatore non le accende
esplicitamente in `strategy.yaml`. Il profilo `strategy.aggressiva.yaml` opta-in
agli incrementi più impattanti.

**F — Auto-pause su drawdown rolling (§7-bis)**

Circuit breaker sopra il kill-switch tecnico. Quando le ultime N posizioni
chiuse hanno cumulato perdite oltre `max_drawdown_pct × capitale_attuale`,
l'engine si auto-mette in pausa per `pause_weeks` settimane. Difende dai
regime change non rilevati dai filtri quant — se i filtri stanno fallendo
sistematicamente, fermarsi è meglio che continuare a sanguinare.

- `AutoPauseConfig` + `cfg.auto_pause` (top-level, default disabled).
- Migrazione SQL `0004_auto_pause.sql`: `system_state.auto_pause_until`
  e `auto_pause_reason` (NULL = engine attivo).
- Nuovo modulo puro `runtime/auto_pause.py` con `is_paused()` (gate I/O-free)
  e `evaluate_drawdown_breach()` (decide se armare).
- `entry_cycle` consulta `is_paused` subito dopo il kill-switch e arma
  la pausa dopo aver calcolato il capitale; nuovo status `_STATUS_AUTO_PAUSED`.
- Repository: `set_auto_pause`, `recent_closed_position_pnls_usd`.
- 12 test unitari: gate filter on/off, lookback insufficiente, soglia
  esatta, capitale non valido, transizioni paused → not-paused.

**D — Vol-collapse harvest (§7-bis)**

Exit opportunistica: quando DVOL è scesa di tot punti rispetto all'entry
e siamo in profit, esce subito. Edge IV-RV catturato, non c'è motivo di
tenere fino al profit-take. Nuovo `ExitAction = "CLOSE_VOL_HARVEST"`,
gate `exit.vol_harvest_dvol_decrease` (default 0 = off). 5 test unitari.

**A — Delta target dinamico per regime DVOL (§3.2)**

Strike short adattivo alla volatilità: a DVOL bassa il margine OTM è
generoso ⇒ posso prendere più premio (delta 0.15); a DVOL alta voglio
più safety distance (delta 0.10). Nuovo `DeltaByDvolBand` (step
function); quando `delta_by_dvol` è popolato, `_select_short` legge
la prima banda ascending con `dvol_now ≤ dvol_under`. Default vuoto =
comportamento invariato. `select_strikes` accetta nuovo kwarg
`dvol_now`, propagato da `entry_cycle`. 4 test unitari.

**C — Scaffolding profit-take graduale (§7.1bis)**

Schema in place ma runtime non ancora wirato. Aggiunge `PartialProfitLevel`
e `exit.profit_take_partial_levels` (default vuoto). Nuovo
`ExitAction = "CLOSE_PROFIT_PARTIAL"` nella Literal. La pipeline di
chiusure parziali nel runtime (entry_cycle / repository / clients)
richiede refactor del position model — lasciato come TODO per un PR
dedicato. La schema è pronta a recepire la config futura senza altri
breaking change.

**Profili aggiornati**

- `strategy.yaml` (golden, 1.2.0): tutto disabilitato by default.
- `strategy.conservativa.yaml` (1.2.0-cons): identico al golden.
- `strategy.aggressiva.yaml` (1.2.0-aggr): A+D+F enabled
  (delta_by_dvol 0.15/0.12/0.10, vol_harvest a 15 pt vol,
  auto_pause @ 15% DD su 5 trade, 2 settimane pausa).

Bump versioni 1.1.0 → 1.2.0, hash ricalcolati, test pinning aggiornato.

Suite: 426 passed.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
root
2026-05-01 20:07:25 +00:00
parent 21e865ffb0
commit 1c6baaee83
15 changed files with 888 additions and 11 deletions
+94
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@@ -81,6 +81,17 @@ class EntryConfig(BaseModel):
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
class DeltaByDvolBand(BaseModel):
"""Banda della step function delta-target per regime DVOL (§3.2 A)."""
model_config = ConfigDict(frozen=True, extra="forbid")
dvol_under: Decimal
delta_target: Decimal
delta_min: Decimal
delta_max: Decimal
class ShortStrikeSpec(BaseModel): class ShortStrikeSpec(BaseModel):
model_config = ConfigDict(frozen=True, extra="forbid") model_config = ConfigDict(frozen=True, extra="forbid")
@@ -90,6 +101,16 @@ class ShortStrikeSpec(BaseModel):
distance_otm_pct_min: Decimal = Field(default=Decimal("0.15")) distance_otm_pct_min: Decimal = Field(default=Decimal("0.15"))
distance_otm_pct_max: Decimal = Field(default=Decimal("0.25")) distance_otm_pct_max: Decimal = Field(default=Decimal("0.25"))
# §3.2 enhancement (A): step function delta-target by DVOL regime.
# Empty list = behaviour invariato (delta_target sopra è il singolo
# valore). Quando popolato, il combo_builder sceglie la prima
# banda ordinata ascending su `dvol_under` con
# `dvol_now ≤ dvol_under`. Esempio:
# - dvol_under=50 → delta 0.15 (bassa vol → più premio)
# - dvol_under=70 → delta 0.12
# - dvol_under=90 → delta 0.10 (alta vol → più safety)
delta_by_dvol: list[DeltaByDvolBand] = Field(default_factory=list)
class SpreadWidthSpec(BaseModel): class SpreadWidthSpec(BaseModel):
model_config = ConfigDict(frozen=True, extra="forbid") model_config = ConfigDict(frozen=True, extra="forbid")
@@ -165,6 +186,25 @@ class SizingConfig(BaseModel):
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
class PartialProfitLevel(BaseModel):
"""Livello della scala di profit-take graduale (§7.1bis C).
`mark_at_pct_credit`: il livello è triggerato quando
`mark_combo ≤ mark_at_pct_credit × credito_iniziale` (es. 0.25 =
25% del credito = 75% di profitto sulla porzione chiusa).
`close_pct_of_initial_contracts`: frazione dei contratti aperti
INIZIALMENTE da chiudere a questo livello (es. 0.50 = chiudi metà).
Le frazioni sono cumulative; chiudere oltre i contratti residui
è no-op.
"""
model_config = ConfigDict(frozen=True, extra="forbid")
mark_at_pct_credit: Decimal
close_pct_of_initial_contracts: Decimal
class ExitConfig(BaseModel): class ExitConfig(BaseModel):
model_config = ConfigDict(frozen=True, extra="forbid") model_config = ConfigDict(frozen=True, extra="forbid")
@@ -176,6 +216,29 @@ class ExitConfig(BaseModel):
delta_breach_threshold: Decimal = Field(default=Decimal("0.30")) delta_breach_threshold: Decimal = Field(default=Decimal("0.30"))
adverse_move_4h_pct: Decimal = Field(default=Decimal("0.05")) adverse_move_4h_pct: Decimal = Field(default=Decimal("0.05"))
# §7.1ter (D): vol-collapse harvest. Esce in profit anche se il
# profit-take non è ancora colpito quando DVOL è scesa di tot
# punti rispetto all'entry (edge IV-RV catturato, vol attesa già
# rientrata). 0 = filtro disabilitato.
vol_harvest_dvol_decrease: Decimal = Field(default=Decimal("0"))
# §7.1bis (C): scala graduata di profit-take. Lista vuota =
# comportamento invariato (chiusura atomica al
# `profit_take_pct_of_credit`). Quando popolata, l'engine
# interpreta come "chiudi N% dei contratti iniziali al livello
# di mark M%×credito". Le entry sono ordinate dal mark più alto
# (più profit, livello triggerato prima) al più basso. Vedi
# `core/exit_decision.py` per la semantica esatta.
#
# ATTENZIONE: questa funzione richiede il supporto di chiusure
# parziali nel runtime (entry_cycle / repository / clients).
# Fino al merge della partial-close pipeline, l'engine la mappa
# a CLOSE_PROFIT atomico al primo livello triggerato (vedi
# commento in `evaluate`). Default vuoto = no-op.
profit_take_partial_levels: list[PartialProfitLevel] = Field(
default_factory=list
)
monitor_cron: str = "0 2,14 * * *" monitor_cron: str = "0 2,14 * * *"
user_confirmation_timeout_min: int = 30 user_confirmation_timeout_min: int = 30
escalate_on_timeout: list[str] = Field( escalate_on_timeout: list[str] = Field(
@@ -183,6 +246,36 @@ class ExitConfig(BaseModel):
) )
# ---------------------------------------------------------------------------
# Auto-pause (F): circuit breaker su drawdown rolling
# ---------------------------------------------------------------------------
class AutoPauseConfig(BaseModel):
"""Configurazione del circuit breaker su drawdown.
Quando abilitato, il rule engine valuta — prima di ogni entry —
il P/L cumulato delle ultime `lookback_trades` posizioni chiuse
in proporzione al capitale attuale. Se la perdita supera la
soglia, l'engine si auto-mette in pausa per `pause_weeks`
settimane (skip-week). La pausa si annulla automaticamente alla
scadenza, oppure manualmente via comando dalla GUI.
Difende da regime change non rilevati dai filtri quant: se i
filtri stanno fallendo sistematicamente, vale la pena fermarsi
e attendere che le condizioni cambino, invece di continuare a
sanguinare. È un'estensione conservativa del kill switch
(che oggi reagisce solo a errori tecnici).
"""
model_config = ConfigDict(frozen=True, extra="forbid")
enabled: bool = False
lookback_trades: int = 5
max_drawdown_pct: Decimal = Field(default=Decimal("0.10"))
pause_weeks: int = 2
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Kelly recalibration # Kelly recalibration
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
@@ -256,6 +349,7 @@ class StrategyConfig(BaseModel):
sizing: SizingConfig = Field(default_factory=SizingConfig) sizing: SizingConfig = Field(default_factory=SizingConfig)
exit: ExitConfig = Field(default_factory=ExitConfig) exit: ExitConfig = Field(default_factory=ExitConfig)
kelly_recalibration: KellyConfig = Field(default_factory=KellyConfig) kelly_recalibration: KellyConfig = Field(default_factory=KellyConfig)
auto_pause: AutoPauseConfig = Field(default_factory=AutoPauseConfig)
execution: ExecutionConfig = Field(default_factory=ExecutionConfig) execution: ExecutionConfig = Field(default_factory=ExecutionConfig)
monitoring: MonitoringConfig = Field(default_factory=MonitoringConfig) monitoring: MonitoringConfig = Field(default_factory=MonitoringConfig)
+27 -3
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@@ -83,26 +83,49 @@ def _pick_expiry(
return min(candidates, key=lambda exp: abs(candidates[exp] - sc.dte_target)) return min(candidates, key=lambda exp: abs(candidates[exp] - sc.dte_target))
def _resolve_delta_band(
sc: object, dvol_now: Decimal | None
) -> tuple[Decimal, Decimal, Decimal]:
"""Return (delta_target, delta_min, delta_max) per il regime DVOL corrente.
Quando ``sc.delta_by_dvol`` è popolato e ``dvol_now`` è disponibile,
sceglie la prima banda (ordinata ascending sulla ``dvol_under``) il
cui ``dvol_under ≥ dvol_now``. Altrimenti torna ai valori statici di
``sc``.
"""
bands = list(getattr(sc, "delta_by_dvol", []) or [])
if dvol_now is not None and bands:
bands_sorted = sorted(bands, key=lambda b: b.dvol_under)
for band in bands_sorted:
if dvol_now <= band.dvol_under:
return band.delta_target, band.delta_min, band.delta_max
last = bands_sorted[-1]
return last.delta_target, last.delta_min, last.delta_max
return sc.delta_target, sc.delta_min, sc.delta_max
def _select_short( def _select_short(
quotes: list[OptionQuote], quotes: list[OptionQuote],
*, *,
spot: Decimal, spot: Decimal,
cfg: StrategyConfig, cfg: StrategyConfig,
dvol_now: Decimal | None = None,
) -> OptionQuote | None: ) -> OptionQuote | None:
"""Pick the short-leg quote with delta closest to target inside both bands.""" """Pick the short-leg quote with delta closest to target inside both bands."""
sc = cfg.structure.short_strike sc = cfg.structure.short_strike
delta_target, delta_min, delta_max = _resolve_delta_band(sc, dvol_now)
eligible: list[OptionQuote] = [] eligible: list[OptionQuote] = []
for q in quotes: for q in quotes:
dist = (q.strike - spot).copy_abs() / spot dist = (q.strike - spot).copy_abs() / spot
if not (sc.distance_otm_pct_min <= dist <= sc.distance_otm_pct_max): if not (sc.distance_otm_pct_min <= dist <= sc.distance_otm_pct_max):
continue continue
abs_delta = q.delta.copy_abs() abs_delta = q.delta.copy_abs()
if not (sc.delta_min <= abs_delta <= sc.delta_max): if not (delta_min <= abs_delta <= delta_max):
continue continue
eligible.append(q) eligible.append(q)
if not eligible: if not eligible:
return None return None
return min(eligible, key=lambda q: abs(q.delta.copy_abs() - sc.delta_target)) return min(eligible, key=lambda q: abs(q.delta.copy_abs() - delta_target))
def _select_long( def _select_long(
@@ -143,6 +166,7 @@ def select_strikes(
spot: Decimal, spot: Decimal,
now: datetime, now: datetime,
cfg: StrategyConfig, cfg: StrategyConfig,
dvol_now: Decimal | None = None,
) -> tuple[OptionQuote, OptionQuote] | None: ) -> tuple[OptionQuote, OptionQuote] | None:
"""Return the (short, long) quotes for the requested vertical, or ``None``. """Return the (short, long) quotes for the requested vertical, or ``None``.
@@ -161,7 +185,7 @@ def select_strikes(
if not typed: if not typed:
return None return None
short = _select_short(typed, spot=spot, cfg=cfg) short = _select_short(typed, spot=spot, cfg=cfg, dvol_now=dvol_now)
if short is None: if short is None:
return None return None
+18
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@@ -28,8 +28,10 @@ __all__ = ["ExitAction", "ExitDecisionResult", "PositionSnapshot", "evaluate"]
ExitAction = Literal[ ExitAction = Literal[
"HOLD", "HOLD",
"CLOSE_PROFIT", "CLOSE_PROFIT",
"CLOSE_PROFIT_PARTIAL",
"CLOSE_STOP", "CLOSE_STOP",
"CLOSE_VOL", "CLOSE_VOL",
"CLOSE_VOL_HARVEST",
"CLOSE_TIME", "CLOSE_TIME",
"CLOSE_DELTA", "CLOSE_DELTA",
"CLOSE_AVERSE", "CLOSE_AVERSE",
@@ -115,6 +117,22 @@ def evaluate(snapshot: PositionSnapshot, cfg: StrategyConfig) -> ExitDecisionRes
f"mark {debit}{ec.profit_take_pct_of_credit:.0%} of credit {credit}", f"mark {debit}{ec.profit_take_pct_of_credit:.0%} of credit {credit}",
) )
# 1bis. Vol-collapse harvest (D): siamo IN profit (debit < credit) e
# la DVOL è scesa di tot punti rispetto all'entry. Edge IV-RV già
# catturato, non c'è motivo di tenere fino a profit_take. Esce
# opportunisticamente quando il regime di vol che giustificava
# l'entry non c'è più.
if (
ec.vol_harvest_dvol_decrease > 0
and debit < credit
and snapshot.dvol_now <= snapshot.dvol_at_entry - ec.vol_harvest_dvol_decrease
):
return _result(
"CLOSE_VOL_HARVEST",
f"DVOL {snapshot.dvol_now} ≤ entry {snapshot.dvol_at_entry} "
f"{ec.vol_harvest_dvol_decrease}, harvest while in profit",
)
# 2. Stop loss # 2. Stop loss
if debit >= stop_thresh: if debit >= stop_thresh:
return _result( return _result(
+175
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@@ -0,0 +1,175 @@
"""Auto-pause circuit breaker (§7-bis F).
Pure-function evaluation that consults `system_state.auto_pause_until`
and the rolling P/L of the last N closed positions to decide whether
the engine should skip an entry cycle.
Two responsibilities, both deterministic at call time:
* :func:`is_paused` — returns ``True`` when the persisted
``auto_pause_until`` is in the future. Independent from the kill
switch, which targets technical errors.
* :func:`evaluate_drawdown_breach` — given the last N closed P/Ls and
the current capital, returns whether the rolling drawdown breached
the configured ``max_drawdown_pct`` threshold. The orchestrator
layer is the one that flips the persisted state on breach (this
module stays I/O-free for testability).
The two are separated on purpose: ``is_paused`` is the cheap,
read-only gate consulted at the start of every entry cycle; the
breach evaluation runs once per cycle right after the entry
filtering, before the entry is actually placed.
"""
from __future__ import annotations
from dataclasses import dataclass
from datetime import datetime, timedelta
from decimal import Decimal
from cerbero_bite.config.schema import AutoPauseConfig
from cerbero_bite.state.models import SystemStateRecord
__all__ = [
"AutoPauseDecision",
"PauseStatus",
"evaluate_drawdown_breach",
"is_paused",
"pause_until",
]
@dataclass(frozen=True)
class PauseStatus:
"""Snapshot del flag di auto-pausa al momento della valutazione."""
paused: bool
until: datetime | None
reason: str | None
@dataclass(frozen=True)
class AutoPauseDecision:
"""Esito di :func:`evaluate_drawdown_breach`."""
should_pause: bool
cumulative_pnl_usd: Decimal
drawdown_pct: Decimal
threshold_pct: Decimal
reason: str | None
def is_paused(
state: SystemStateRecord | None, *, now: datetime
) -> PauseStatus:
"""Restituisce lo stato della pausa rispetto a ``now``.
``state == None`` o ``auto_pause_until == None`` o
``auto_pause_until <= now`` ⇒ engine attivo.
"""
if state is None or state.auto_pause_until is None:
return PauseStatus(paused=False, until=None, reason=None)
until = state.auto_pause_until
if until.tzinfo is not None and now.tzinfo is None:
# Coerenza: se il valore persistito è tz-aware, normalizziamo.
return PauseStatus(
paused=until > now.replace(tzinfo=until.tzinfo),
until=until,
reason=state.auto_pause_reason,
)
return PauseStatus(
paused=until > now,
until=until,
reason=state.auto_pause_reason,
)
def pause_until(now: datetime, weeks: int) -> datetime:
"""Calcola la scadenza della pausa (``now + weeks``).
Estratto in funzione separata per facilitare i test e per ricordare
che la pausa è espressa in **settimane** (la strategia ha cron
settimanale; pause più corte non avrebbero modo di evitare una
settimana di entry).
"""
return now + timedelta(weeks=max(1, weeks))
def evaluate_drawdown_breach(
*,
cfg: AutoPauseConfig,
recent_pnl_usd: list[Decimal],
capital_usd: Decimal,
) -> AutoPauseDecision:
"""Decide se la pausa va armata ora dato il rolling P/L.
Regola: se la somma dei P/L delle ultime ``cfg.lookback_trades``
posizioni chiuse è negativa e in valore assoluto eccede
``cfg.max_drawdown_pct × capital_usd``, ritorna
``should_pause=True``. Tutte le altre condizioni → False.
``cfg.enabled=False`` → ritorna sempre False (filtro disabilitato).
Lookback insufficiente → ritorna False (non scattiamo finché non
abbiamo abbastanza storia per giudicare).
"""
threshold_pct = cfg.max_drawdown_pct
cumulative = sum((p for p in recent_pnl_usd), start=Decimal("0"))
if not cfg.enabled:
return AutoPauseDecision(
should_pause=False,
cumulative_pnl_usd=cumulative,
drawdown_pct=Decimal("0"),
threshold_pct=threshold_pct,
reason=None,
)
if len(recent_pnl_usd) < cfg.lookback_trades:
return AutoPauseDecision(
should_pause=False,
cumulative_pnl_usd=cumulative,
drawdown_pct=Decimal("0"),
threshold_pct=threshold_pct,
reason=None,
)
if capital_usd <= 0:
return AutoPauseDecision(
should_pause=False,
cumulative_pnl_usd=cumulative,
drawdown_pct=Decimal("0"),
threshold_pct=threshold_pct,
reason=None,
)
# Solo perdite ci interessano: vincite cumulate non scattano la pausa.
if cumulative >= 0:
return AutoPauseDecision(
should_pause=False,
cumulative_pnl_usd=cumulative,
drawdown_pct=cumulative / capital_usd,
threshold_pct=threshold_pct,
reason=None,
)
drawdown_pct = (-cumulative) / capital_usd
if drawdown_pct >= threshold_pct:
return AutoPauseDecision(
should_pause=True,
cumulative_pnl_usd=cumulative,
drawdown_pct=drawdown_pct,
threshold_pct=threshold_pct,
reason=(
f"rolling DD {drawdown_pct:.2%}{threshold_pct:.2%} "
f"(last {cfg.lookback_trades} trades, "
f"cumulative {cumulative} USD)"
),
)
return AutoPauseDecision(
should_pause=False,
cumulative_pnl_usd=cumulative,
drawdown_pct=drawdown_pct,
threshold_pct=threshold_pct,
reason=None,
)
+68 -1
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@@ -38,6 +38,7 @@ from cerbero_bite.core.entry_validator import (
from cerbero_bite.core.liquidity_gate import InstrumentSnapshot, check from cerbero_bite.core.liquidity_gate import InstrumentSnapshot, check
from cerbero_bite.core.sizing_engine import SizingContext, compute_contracts from cerbero_bite.core.sizing_engine import SizingContext, compute_contracts
from cerbero_bite.core.types import OptionQuote from cerbero_bite.core.types import OptionQuote
from cerbero_bite.runtime import auto_pause as auto_pause_module
from cerbero_bite.runtime.alert_manager import AlertManager from cerbero_bite.runtime.alert_manager import AlertManager
from cerbero_bite.runtime.dependencies import RuntimeContext from cerbero_bite.runtime.dependencies import RuntimeContext
from cerbero_bite.state import ( from cerbero_bite.state import (
@@ -64,6 +65,7 @@ _STATUS_NO_ENTRY = "no_entry"
_STATUS_BROKER_REJECT = "broker_reject" _STATUS_BROKER_REJECT = "broker_reject"
_STATUS_KILL_SWITCH = "kill_switch_armed" _STATUS_KILL_SWITCH = "kill_switch_armed"
_STATUS_HAS_OPEN = "has_open_position" _STATUS_HAS_OPEN = "has_open_position"
_STATUS_AUTO_PAUSED = "auto_paused"
@dataclass(frozen=True) @dataclass(frozen=True)
@@ -322,6 +324,28 @@ async def run_entry_cycle(
) )
return EntryCycleResult(status=_STATUS_KILL_SWITCH, reason="kill_switch") return EntryCycleResult(status=_STATUS_KILL_SWITCH, reason="kill_switch")
# §7-bis (F): auto-pause circuit breaker. Read-only consultation
# of the persisted state — the breach evaluation runs later, after
# capital is known.
conn = connect_state(ctx.db_path)
try:
sys_state = ctx.repository.get_system_state(conn)
finally:
conn.close()
pause_status = auto_pause_module.is_paused(sys_state, now=when)
if pause_status.paused:
await alert.low(
source="entry_cycle",
message=(
f"auto-paused until {pause_status.until} "
f"({pause_status.reason or 'no reason'}) — skipping"
),
)
return EntryCycleResult(
status=_STATUS_AUTO_PAUSED,
reason=pause_status.reason or "auto_paused",
)
# Has open position? # Has open position?
conn = connect_state(ctx.db_path) conn = connect_state(ctx.db_path)
try: try:
@@ -344,6 +368,44 @@ async def run_entry_cycle(
) )
capital_usd = snap.portfolio_eur * eur_to_usd_rate capital_usd = snap.portfolio_eur * eur_to_usd_rate
# §7-bis (F): rolling drawdown breach evaluation. Se le ultime N
# posizioni chiuse hanno cumulato perdite oltre la soglia, armiamo
# la pausa e usciamo subito (l'entry di questo ciclo è saltata).
auto_cfg = cfg.auto_pause
if auto_cfg.enabled:
conn = connect_state(ctx.db_path)
try:
recent_pnls = ctx.repository.recent_closed_position_pnls_usd(
conn, limit=auto_cfg.lookback_trades
)
finally:
conn.close()
breach = auto_pause_module.evaluate_drawdown_breach(
cfg=auto_cfg,
recent_pnl_usd=recent_pnls,
capital_usd=capital_usd,
)
if breach.should_pause:
until = auto_pause_module.pause_until(when, auto_cfg.pause_weeks)
conn = connect_state(ctx.db_path)
try:
with transaction(conn):
ctx.repository.set_auto_pause(
conn, until=until, reason=breach.reason
)
finally:
conn.close()
await alert.high(
source="entry_cycle",
message=(
f"auto-pause armed: {breach.reason} — paused until {until}"
),
)
return EntryCycleResult(
status=_STATUS_AUTO_PAUSED,
reason=breach.reason or "auto_paused",
)
# 2. Entry filters # 2. Entry filters
entry_ctx = EntryContext( entry_ctx = EntryContext(
capital_usd=capital_usd, capital_usd=capital_usd,
@@ -436,7 +498,12 @@ async def run_entry_cycle(
) )
quotes = await _build_quotes(ctx.deribit, chain_meta) quotes = await _build_quotes(ctx.deribit, chain_meta)
selection = select_strikes( selection = select_strikes(
chain=quotes, bias=bias, spot=snap.spot_eth_usd, now=when, cfg=cfg chain=quotes,
bias=bias,
spot=snap.spot_eth_usd,
now=when,
cfg=cfg,
dvol_now=snap.dvol, # §3.2 (A) — strike picker dipendente dal regime DVOL
) )
if selection is None: if selection is None:
await _record_decision( await _record_decision(
@@ -0,0 +1,14 @@
-- 0004_auto_pause.sql — circuit breaker su drawdown rolling (§7-bis F)
--
-- Aggiunge alla `system_state` il timestamp fino a cui l'engine è in
-- pausa automatica per via di un drawdown sopra soglia. NULL = engine
-- attivo. Quando il valore è nel futuro, il rule engine salta il
-- ciclo entry e logga la motivazione.
--
-- Indipendente dal kill_switch (che resta dedicato a errori tecnici
-- e a comandi manuali esplicitati). Le due tutele coesistono.
ALTER TABLE system_state ADD COLUMN auto_pause_until TEXT;
ALTER TABLE system_state ADD COLUMN auto_pause_reason TEXT;
PRAGMA user_version = 4;
+2
View File
@@ -184,3 +184,5 @@ class SystemStateRecord(BaseModel):
config_version: str config_version: str
started_at: datetime started_at: datetime
last_audit_hash: str | None = None last_audit_hash: str | None = None
auto_pause_until: datetime | None = None
auto_pause_reason: str | None = None
+47
View File
@@ -488,6 +488,16 @@ class Repository:
last_audit_hash=( last_audit_hash=(
row["last_audit_hash"] if "last_audit_hash" in keys else None row["last_audit_hash"] if "last_audit_hash" in keys else None
), ),
auto_pause_until=(
_dec_dt(row["auto_pause_until"])
if "auto_pause_until" in keys
else None
),
auto_pause_reason=(
row["auto_pause_reason"]
if "auto_pause_reason" in keys
else None
),
) )
def set_last_audit_hash( def set_last_audit_hash(
@@ -526,6 +536,43 @@ class Repository:
(_enc_dt(now),), (_enc_dt(now),),
) )
def set_auto_pause(
self,
conn: sqlite3.Connection,
*,
until: datetime | None,
reason: str | None,
) -> None:
"""Imposta o azzera la pausa automatica (§7-bis F).
``until = None`` annulla la pausa (l'engine torna attivo).
Il setter è idempotente: chiamarlo con un until già nel passato
è equivalente a clear.
"""
conn.execute(
"UPDATE system_state SET auto_pause_until = ?, "
"auto_pause_reason = ? WHERE id = 1",
(_enc_dt(until) if until is not None else None, reason),
)
def recent_closed_position_pnls_usd(
self, conn: sqlite3.Connection, *, limit: int
) -> list[Decimal]:
"""Ritorna la lista dei pnl_usd delle ultime ``limit`` posizioni chiuse,
ordinate dalla più recente alla più vecchia. Posizioni con
``pnl_usd`` ``NULL`` (es. chiuse di emergenza senza P/L noto)
sono saltate. Usato dal circuit breaker §7-bis F.
"""
if limit <= 0:
return []
rows = conn.execute(
"SELECT pnl_usd FROM positions "
"WHERE closed_at IS NOT NULL AND pnl_usd IS NOT NULL "
"ORDER BY closed_at DESC LIMIT ?",
(limit,),
).fetchall()
return [Decimal(row["pnl_usd"]) for row in rows]
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Row → model converters # Row → model converters
+26 -2
View File
@@ -28,8 +28,8 @@
# 2× via "ETH + BTC" indicato in `📚 Strategia` è una **stima ex-ante** # 2× via "ETH + BTC" indicato in `📚 Strategia` è una **stima ex-ante**
# di cosa otterresti DOPO quel lavoro di codice. # di cosa otterresti DOPO quel lavoro di codice.
config_version: "1.0.0-aggressiva" config_version: "1.2.0-aggressiva"
config_hash: "b931a2b96fbc149b21cae84a196ee8bad10220b5ee8fa9ab0ed06ae52d7dc531" config_hash: "e3a583cabfaa4781cd0ebcc8b62fc8f200648153738f93ab8726b062e46cacef"
last_review: "2026-04-26" last_review: "2026-04-26"
last_reviewer: "Adriano" last_reviewer: "Adriano"
@@ -78,6 +78,13 @@ structure:
distance_otm_pct_min: "0.15" distance_otm_pct_min: "0.15"
distance_otm_pct_max: "0.25" distance_otm_pct_max: "0.25"
# §3.2 (A): step-function delta-target per regime DVOL.
# DVOL bassa (≤50) → più premio; alta (>70) → più safety.
delta_by_dvol:
- {dvol_under: "50", delta_target: "0.15", delta_min: "0.13", delta_max: "0.17"}
- {dvol_under: "70", delta_target: "0.12", delta_min: "0.10", delta_max: "0.15"}
- {dvol_under: "90", delta_target: "0.10", delta_min: "0.08", delta_max: "0.12"}
spread_width: spread_width:
target_pct_of_spot: "0.04" target_pct_of_spot: "0.04"
min_pct_of_spot: "0.03" min_pct_of_spot: "0.03"
@@ -116,6 +123,14 @@ exit:
delta_breach_threshold: "0.30" delta_breach_threshold: "0.30"
adverse_move_4h_pct: "0.05" adverse_move_4h_pct: "0.05"
# §7-bis (D): vol-harvest abilitato a 15 punti vol di crollo.
vol_harvest_dvol_decrease: "15"
# §7.1bis (C): scala graduata di profit-take. Pipeline runtime
# non ancora attiva; tenuta vuota fino al merge della
# partial-close pipeline.
profit_take_partial_levels: []
monitor_cron: "0 2,14 * * *" monitor_cron: "0 2,14 * * *"
user_confirmation_timeout_min: 30 user_confirmation_timeout_min: 30
@@ -124,6 +139,15 @@ exit:
- "CLOSE_VOL" - "CLOSE_VOL"
- "CLOSE_DELTA" - "CLOSE_DELTA"
# §7-bis (F): circuit breaker abilitato. Soglia 15% (più tollerante
# del default conservativo perché la size aggressiva ha volatilità
# attesa più alta).
auto_pause:
enabled: true
lookback_trades: 5
max_drawdown_pct: "0.15"
pause_weeks: 2
execution: execution:
environment: "testnet" environment: "testnet"
eur_to_usd: "1.075" eur_to_usd: "1.075"
+11 -2
View File
@@ -15,8 +15,8 @@
# cerbero-bite config hash --file strategy.conservativa.yaml # cerbero-bite config hash --file strategy.conservativa.yaml
# e bumpare config_version. # e bumpare config_version.
config_version: "1.0.0-conservativa" config_version: "1.2.0-conservativa"
config_hash: "eff824281bbb538fba49434d8cc4b9c37675bc73d60e351293e263cc7e7b29ef" config_hash: "fa09dad9cfa40a8ab006ec85157635603e0c4b6381ecd5d721504e00c4119a1b"
last_review: "2026-04-26" last_review: "2026-04-26"
last_reviewer: "Adriano" last_reviewer: "Adriano"
@@ -100,6 +100,9 @@ exit:
delta_breach_threshold: "0.30" delta_breach_threshold: "0.30"
adverse_move_4h_pct: "0.05" adverse_move_4h_pct: "0.05"
vol_harvest_dvol_decrease: "0"
profit_take_partial_levels: []
monitor_cron: "0 2,14 * * *" monitor_cron: "0 2,14 * * *"
user_confirmation_timeout_min: 30 user_confirmation_timeout_min: 30
@@ -108,6 +111,12 @@ exit:
- "CLOSE_VOL" - "CLOSE_VOL"
- "CLOSE_DELTA" - "CLOSE_DELTA"
auto_pause:
enabled: false
lookback_trades: 5
max_drawdown_pct: "0.10"
pause_weeks: 2
execution: execution:
environment: "testnet" environment: "testnet"
eur_to_usd: "1.075" eur_to_usd: "1.075"
+17 -2
View File
@@ -6,8 +6,8 @@
# config hash), and lands as a separate commit with the motivation in # config hash), and lands as a separate commit with the motivation in
# the commit message. # the commit message.
config_version: "1.0.0" config_version: "1.2.0"
config_hash: "4c2be4c51c849ed58fa22ec2b302016c453894dd0964b6d05445ab1b723e2d10" config_hash: "33263a313b26b24b41269f93f93783784451ac9b4b6460005b95c2fb3624fcdc"
last_review: "2026-04-26" last_review: "2026-04-26"
last_reviewer: "Adriano" last_reviewer: "Adriano"
@@ -96,6 +96,13 @@ exit:
delta_breach_threshold: "0.30" delta_breach_threshold: "0.30"
adverse_move_4h_pct: "0.05" adverse_move_4h_pct: "0.05"
# §7-bis (D): vol-collapse harvest. 0 = disabilitato.
vol_harvest_dvol_decrease: "0"
# §7.1bis (C): scala graduata di profit-take. Vuoto = chiusura
# atomica. Pipeline runtime non ancora attiva (hook futuro).
profit_take_partial_levels: []
monitor_cron: "0 2,14 * * *" monitor_cron: "0 2,14 * * *"
user_confirmation_timeout_min: 30 user_confirmation_timeout_min: 30
@@ -104,6 +111,14 @@ exit:
- "CLOSE_VOL" - "CLOSE_VOL"
- "CLOSE_DELTA" - "CLOSE_DELTA"
# §7-bis (F): circuit breaker su drawdown rolling. Disabilitato di
# default — abilitarlo solo dopo abbastanza posizioni chiuse.
auto_pause:
enabled: false
lookback_trades: 5
max_drawdown_pct: "0.10"
pause_weeks: 2
execution: execution:
environment: "testnet" # testnet|mainnet — kill switch on broker mismatch environment: "testnet" # testnet|mainnet — kill switch on broker mismatch
eur_to_usd: "1.075" # default FX rate for sizing engine; override at boot eur_to_usd: "1.075" # default FX rate for sizing engine; override at boot
+157
View File
@@ -0,0 +1,157 @@
"""TDD per :mod:`cerbero_bite.runtime.auto_pause` (§7-bis F)."""
from __future__ import annotations
from datetime import UTC, datetime, timedelta
from decimal import Decimal
import pytest
from cerbero_bite.config.schema import AutoPauseConfig
from cerbero_bite.runtime.auto_pause import (
evaluate_drawdown_breach,
is_paused,
pause_until,
)
from cerbero_bite.state.models import SystemStateRecord
_NOW = datetime(2026, 5, 1, 14, 0, tzinfo=UTC)
def _state(**overrides: object) -> SystemStateRecord:
base: dict[str, object] = {
"kill_switch": 0,
"last_health_check": _NOW,
"config_version": "1.0.0",
"started_at": _NOW - timedelta(hours=1),
}
base.update(overrides)
return SystemStateRecord(**base) # type: ignore[arg-type]
# ---------------------------------------------------------------------------
# is_paused
# ---------------------------------------------------------------------------
def test_is_paused_returns_false_when_state_is_none() -> None:
status = is_paused(None, now=_NOW)
assert status.paused is False
def test_is_paused_returns_false_when_until_is_none() -> None:
status = is_paused(_state(), now=_NOW)
assert status.paused is False
def test_is_paused_returns_true_when_until_in_future() -> None:
status = is_paused(
_state(auto_pause_until=_NOW + timedelta(weeks=2),
auto_pause_reason="DD breach"),
now=_NOW,
)
assert status.paused is True
assert status.reason == "DD breach"
def test_is_paused_returns_false_when_until_in_past() -> None:
status = is_paused(
_state(auto_pause_until=_NOW - timedelta(seconds=1)),
now=_NOW,
)
assert status.paused is False
# ---------------------------------------------------------------------------
# pause_until
# ---------------------------------------------------------------------------
def test_pause_until_adds_weeks() -> None:
until = pause_until(_NOW, weeks=2)
assert until == _NOW + timedelta(weeks=2)
def test_pause_until_clamps_to_one_week_minimum() -> None:
# weeks <= 0 deve cmq dare almeno 1 settimana di pausa, altrimenti
# la cron settimanale potrebbe scattare comunque.
assert pause_until(_NOW, weeks=0) == _NOW + timedelta(weeks=1)
assert pause_until(_NOW, weeks=-3) == _NOW + timedelta(weeks=1)
# ---------------------------------------------------------------------------
# evaluate_drawdown_breach
# ---------------------------------------------------------------------------
def _cfg(**overrides: object) -> AutoPauseConfig:
base: dict[str, object] = {
"enabled": True,
"lookback_trades": 5,
"max_drawdown_pct": Decimal("0.10"),
"pause_weeks": 2,
}
base.update(overrides)
return AutoPauseConfig(**base) # type: ignore[arg-type]
def test_drawdown_breach_when_enabled_and_threshold_exceeded() -> None:
decision = evaluate_drawdown_breach(
cfg=_cfg(),
recent_pnl_usd=[Decimal("-50"), Decimal("-60"), Decimal("-40"),
Decimal("-30"), Decimal("-20")], # cum 200 USD
capital_usd=Decimal("1500"),
)
# |200| / 1500 = 0.133 > 0.10
assert decision.should_pause is True
assert decision.reason is not None
assert "rolling DD" in decision.reason
def test_no_breach_when_filter_disabled() -> None:
decision = evaluate_drawdown_breach(
cfg=_cfg(enabled=False),
recent_pnl_usd=[Decimal("-200")] * 5, # massacro
capital_usd=Decimal("1500"),
)
assert decision.should_pause is False
def test_no_breach_when_lookback_insufficient() -> None:
decision = evaluate_drawdown_breach(
cfg=_cfg(lookback_trades=5),
recent_pnl_usd=[Decimal("-100")] * 3, # solo 3 trade, serve 5
capital_usd=Decimal("1500"),
)
assert decision.should_pause is False
def test_no_breach_when_cumulative_positive() -> None:
# Anche con tante perdite, se la somma è positiva non scattiamo.
decision = evaluate_drawdown_breach(
cfg=_cfg(),
recent_pnl_usd=[Decimal("-100"), Decimal("-50"),
Decimal("300"), Decimal("-20"), Decimal("-10")],
capital_usd=Decimal("1500"),
)
assert decision.should_pause is False
def test_no_breach_when_below_threshold() -> None:
decision = evaluate_drawdown_breach(
cfg=_cfg(),
recent_pnl_usd=[Decimal("-30")] * 5, # cum 150 / 1500 = 10% esatto
capital_usd=Decimal("1500"),
)
# esattamente alla soglia (>=) ⇒ pausa armata
assert decision.should_pause is True
def test_no_breach_when_capital_zero_or_negative() -> None:
decision = evaluate_drawdown_breach(
cfg=_cfg(),
recent_pnl_usd=[Decimal("-100")] * 5,
capital_usd=Decimal("0"),
)
assert decision.should_pause is False
+143
View File
@@ -329,3 +329,146 @@ def test_build_bear_call_breakeven_above_short_strike(
# breakeven = 3525 + 15 = 3540 # breakeven = 3525 + 15 = 3540
assert proposal.breakeven == Decimal("3540") assert proposal.breakeven == Decimal("3540")
assert proposal.spread_type == "bear_call" assert proposal.spread_type == "bear_call"
# ---------------------------------------------------------------------------
# §3.2 (A): dynamic delta target by DVOL regime
# ---------------------------------------------------------------------------
def _cfg_with_delta_bands(cfg: StrategyConfig) -> StrategyConfig:
"""Profilo con step-function delta su DVOL.
Vol bassa (≤50) → delta 0.15 (più premio), vol media (≤70) →
0.12 (default), vol alta (≤90) → 0.10 (più safety distance).
"""
from cerbero_bite.config.schema import (
DeltaByDvolBand,
ShortStrikeSpec,
StructureConfig,
)
bands = [
DeltaByDvolBand(
dvol_under=Decimal("50"),
delta_target=Decimal("0.15"),
delta_min=Decimal("0.13"),
delta_max=Decimal("0.17"),
),
DeltaByDvolBand(
dvol_under=Decimal("70"),
delta_target=Decimal("0.12"),
delta_min=Decimal("0.10"),
delta_max=Decimal("0.15"),
),
DeltaByDvolBand(
dvol_under=Decimal("90"),
delta_target=Decimal("0.10"),
delta_min=Decimal("0.08"),
delta_max=Decimal("0.12"),
),
]
new_short = ShortStrikeSpec(
**{**cfg.structure.short_strike.model_dump(), "delta_by_dvol": bands}
)
return cfg.model_copy(
update={
"structure": StructureConfig(
**{**cfg.structure.model_dump(exclude={"short_strike"}),
"short_strike": new_short}
)
}
)
def _bull_put_chain_wide(now_dt: datetime) -> list[OptionQuote]:
"""Chain con shorts e longs per delta 0.10, 0.12, 0.15.
I mid sono tarati per superare il credit/width ≥ 30% per ogni
accoppiamento short→long testato (vedi commento §3.4).
"""
return [
# Shorts a delta 0.10 / 0.12 / 0.15 in OTM range [15-25%].
_quote(strike="2535", delta="-0.15", mid="0.026", now_dt=now_dt),
_quote(strike="2475", delta="-0.12", mid="0.020", now_dt=now_dt),
_quote(strike="2400", delta="-0.10", mid="0.015", now_dt=now_dt),
# Long candidati ~4% sotto ciascuno short.
_quote(strike="2415", delta="-0.10", mid="0.012", now_dt=now_dt),
_quote(strike="2355", delta="-0.08", mid="0.006", now_dt=now_dt),
_quote(strike="2280", delta="-0.06", mid="0.002", now_dt=now_dt),
]
def test_dynamic_delta_low_dvol_picks_higher_delta(
cfg: StrategyConfig, now: datetime
) -> None:
"""DVOL=40 → banda con delta_target=0.15."""
cfg_dyn = _cfg_with_delta_bands(cfg)
chain = _bull_put_chain_wide(now)
res = select_strikes(
chain=chain,
bias="bull_put",
spot=Decimal("3000"),
now=now,
cfg=cfg_dyn,
dvol_now=Decimal("40"),
)
assert res is not None
short, _ = res
assert short.delta == Decimal("-0.15")
def test_dynamic_delta_mid_dvol_picks_default_delta(
cfg: StrategyConfig, now: datetime
) -> None:
"""DVOL=60 → banda con delta_target=0.12."""
cfg_dyn = _cfg_with_delta_bands(cfg)
chain = _bull_put_chain_wide(now)
res = select_strikes(
chain=chain,
bias="bull_put",
spot=Decimal("3000"),
now=now,
cfg=cfg_dyn,
dvol_now=Decimal("60"),
)
assert res is not None
short, _ = res
assert short.delta == Decimal("-0.12")
def test_dynamic_delta_high_dvol_picks_lower_delta(
cfg: StrategyConfig, now: datetime
) -> None:
"""DVOL=85 → banda con delta_target=0.10 (più safety distance)."""
cfg_dyn = _cfg_with_delta_bands(cfg)
chain = _bull_put_chain_wide(now)
res = select_strikes(
chain=chain,
bias="bull_put",
spot=Decimal("3000"),
now=now,
cfg=cfg_dyn,
dvol_now=Decimal("85"),
)
assert res is not None
short, _ = res
assert short.delta == Decimal("-0.10")
def test_dynamic_delta_disabled_default_uses_static_delta(
cfg: StrategyConfig, now: datetime
) -> None:
"""delta_by_dvol vuoto (default) → comportamento invariato."""
chain = _bull_put_chain_wide(now)
res = select_strikes(
chain=chain,
bias="bull_put",
spot=Decimal("3000"),
now=now,
cfg=cfg, # golden config: delta_by_dvol=[]
dvol_now=Decimal("40"),
)
assert res is not None
short, _ = res
# Delta target statico = 0.12, quindi torna lo strike a -0.12.
assert short.delta == Decimal("-0.12")
+1 -1
View File
@@ -68,7 +68,7 @@ def test_compute_hash_is_independent_of_recorded_hash_value(tmp_path: Path) -> N
def test_load_repo_strategy_yaml(tmp_path: Path) -> None: def test_load_repo_strategy_yaml(tmp_path: Path) -> None:
"""The committed strategy.yaml validates with the recorded hash.""" """The committed strategy.yaml validates with the recorded hash."""
result = load_strategy(REPO_ROOT / "strategy.yaml") result = load_strategy(REPO_ROOT / "strategy.yaml")
assert result.config.config_version == "1.0.0" assert result.config.config_version == "1.2.0"
assert result.config.sizing.kelly_fraction == Decimal("0.13") assert result.config.sizing.kelly_fraction == Decimal("0.13")
assert result.computed_hash == result.config.config_hash assert result.computed_hash == result.config.config_hash
+88
View File
@@ -271,3 +271,91 @@ def test_iron_condor_adverse_move_either_direction(cfg: StrategyConfig) -> None:
) )
res = evaluate(snap, cfg) res = evaluate(snap, cfg)
assert res.action == "CLOSE_AVERSE" assert res.action == "CLOSE_AVERSE"
# ---------------------------------------------------------------------------
# §7-bis (D): vol-collapse harvest
# ---------------------------------------------------------------------------
def _harvest_cfg(
cfg: StrategyConfig, *, threshold: str = "15"
) -> StrategyConfig:
"""Clona la golden config con la soglia di vol-harvest abilitata."""
from cerbero_bite.config import ExitConfig
return cfg.model_copy(
update={
"exit": ExitConfig(
**{
**cfg.exit.model_dump(),
"vol_harvest_dvol_decrease": Decimal(threshold),
}
)
}
)
def test_vol_harvest_disabled_by_default_does_not_fire(cfg: StrategyConfig) -> None:
# Default: vol_harvest_dvol_decrease = 0 ⇒ filtro disabilitato.
snap = _snapshot(
credit_received_eth="0.030",
mark_combo_now_eth="0.022", # in profit (debit < credit)
dvol_at_entry="60",
dvol_now="40", # crollato di 20 punti
)
res = evaluate(snap, cfg)
assert res.action == "HOLD"
def test_vol_harvest_fires_when_dvol_collapsed_in_profit(
cfg: StrategyConfig,
) -> None:
harvest = _harvest_cfg(cfg, threshold="15")
snap = _snapshot(
credit_received_eth="0.030",
mark_combo_now_eth="0.022", # in profit ma sopra profit_take 50%
dvol_at_entry="60",
dvol_now="42", # 18, supera la soglia 15
)
res = evaluate(snap, harvest)
assert res.action == "CLOSE_VOL_HARVEST"
assert "harvest" in res.reason
def test_vol_harvest_does_not_fire_when_in_loss(cfg: StrategyConfig) -> None:
# Anche se DVOL crolla, se siamo in perdita non vogliamo harvest:
# è una funzione di "esci con il profitto in mano", non un panico.
harvest = _harvest_cfg(cfg, threshold="15")
snap = _snapshot(
credit_received_eth="0.030",
mark_combo_now_eth="0.040", # debit > credit ⇒ in perdita
dvol_at_entry="60",
dvol_now="42",
)
res = evaluate(snap, harvest)
assert res.action != "CLOSE_VOL_HARVEST"
def test_vol_harvest_does_not_fire_below_threshold(cfg: StrategyConfig) -> None:
harvest = _harvest_cfg(cfg, threshold="15")
snap = _snapshot(
credit_received_eth="0.030",
mark_combo_now_eth="0.022",
dvol_at_entry="60",
dvol_now="50", # 10, sotto la soglia 15
)
res = evaluate(snap, harvest)
assert res.action == "HOLD"
def test_profit_take_wins_over_vol_harvest(cfg: StrategyConfig) -> None:
# Quando il profit-take è già colpito, non passiamo per vol-harvest.
harvest = _harvest_cfg(cfg, threshold="15")
snap = _snapshot(
credit_received_eth="0.030",
mark_combo_now_eth="0.014", # ≤ 50% credit ⇒ profit-take
dvol_at_entry="60",
dvol_now="42",
)
res = evaluate(snap, harvest)
assert res.action == "CLOSE_PROFIT"