diff --git a/.gitignore b/.gitignore index 66b523f..26b9b43 100644 --- a/.gitignore +++ b/.gitignore @@ -27,7 +27,6 @@ ENV/ # UV .uv/ -uv.lock # IDE .vscode/ diff --git a/CLAUDE.md b/CLAUDE.md index c3fc9d1..4c8361f 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -86,9 +86,10 @@ uv run python backtest_comparison.py --symbol BTC --compare all uv run python backtest_comparison.py --symbol BTC --compare debate uv run python backtest_comparison.py --symbol BTC --compare regime -# 分别查看各程序日志（日志文件通过 tee 写入 logs/ 目录） -tail -f logs/main.log # 主交易日志 -tail -f logs/grid.log # 网格交易日志 +# 查看日志（统一入口后所有运行模式均写 main.log；grid.log 为历史遗留文件已停更） +tail -f logs/main.log # 主交易/网格日志（RUN_MODE=main/grid/all 均在此） +tail -f logs/trades/trades_$(date +%Y%m%d).jsonl # 结构化交易记录（含 pnl/reason 归因） +tail -f logs/equity/equity_$(date +%Y%m%d).jsonl # 净值快照（需开启 grid_equity_snapshot_enabled） ``` ## 核心架构 @@ -628,6 +629,8 @@ regime_adaptive: protections: - name: max_drawdown max_drawdown_pct: 0.10 # 最大回撤 10% + min_drawdown_usd: 0 # 回撤绝对额下限（>0 时须同时达标才触发；防小账户上 + # 纯百分比线成为噪声级触发器，默认 0=关闭） pause_hours: 4 - name: daily_loss max_daily_loss_pct: 0.05 # 单日亏损 5% @@ -635,6 +638,8 @@ protections: - name: consecutive_loss max_consecutive_losses: 5 per_symbol: true # true=只锁该交易对 + forced_close_no_reset: false # true=风控强平的净盈利不重置连亏计数（只有主动止盈 + # 才算打破连亏；默认 false=历史行为） pause_hours: 4 - name: position_timeout max_position_hours: 48 @@ -683,6 +688,23 @@ trading: grid_limit_order_stop_loss_enabled: true # 网格成交后是否补止损单 grid_reduce_only_exit_orders_enabled: true # 是否启用分层减仓单 + # ── 网格防护体系（全部默认关闭 = 历史行为）──────────────────────────── + grid_force_neutral_mode: true # 强制中性网格（忽略 AI 方向） + grid_max_position_notional_usd: 40 # 库存硬上限（USD 净持仓名义额，0=关闭） + grid_inventory_cap_strict: true # 严格模式：名义额计入同向挂单 + 取价失败 fail-closed + grid_trend_filter_enabled: true # 多周期强势一致时暂停加仓 + grid_trend_filter_min_votes: 3 # 强势周期票数阈值 + grid_trend_filter_timeframes: ["15m","1h","4h","1d"] # 计票周期白名单（排除 1m 噪声；缺省=全部） + grid_trend_filter_confirm_cycles: 2 # 连续 N 周期同向确认才生效（迟滞去抖，缺省 1=立即） + grid_trend_filter_flatten_adverse: true # 强趋势里减掉逆势库存 + grid_trend_filter_flatten_min_cycles: 3 # 平逆势库存需更多连续确认（暂停先行、平仓靠后） + grid_trend_filter_surgical_flatten: true # 手术式减仓：只平超限逆势层级（缺省 false=全量拆网） + grid_keep_grid_reconcile: true # KEEP_GRID 周期对账撤无主残单 + grid_adaptive_sizing_enabled: true # 单格金额与净值挂钩：钱不够减格数而非抬单格金额 + grid_min_grid_num: 3 # 自适应仓位最少格数（低于则 INSUFFICIENT_CAPITAL 拒绝布单） + grid_halt_below_usd: 15 # 净值停机线：低于此值且无持仓时跳过整个周期（0=关闭） + grid_equity_snapshot_enabled: true # 每周期净值快照写 logs/equity/*.jsonl + agent: grid_width: min_pct: 0.02 # 最小网格宽度 2% diff --git a/Dockerfile b/Dockerfile index 2e5bf21..0d55b32 100644 --- a/Dockerfile +++ b/Dockerfile @@ -14,10 +14,12 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ COPY --from=ghcr.io/astral-sh/uv:0.10.5 /uv /uvx /bin/ # Copy dependency files -COPY pyproject.toml .python-version README.md ./ +COPY pyproject.toml uv.lock .python-version README.md ./ -# Install Python dependencies via uv（不使用 lock 文件，因本地 uv 版本较旧） -RUN uv sync --no-dev --no-install-project +# Install Python dependencies via uv（--frozen 按 lock 文件精确复现依赖版本， +# 防止镜像构建时解析到不兼容的新版依赖——曾因未锁定装到删除了 +# pydantic_ai.models.gemini 的新版 pydantic-ai 导致容器循环崩溃） +RUN uv sync --frozen --no-dev --no-install-project # Final stage FROM python:3.12-slim diff --git a/main.py b/main.py index e9d42e3..35eb476 100644 --- a/main.py +++ b/main.py @@ -32,7 +32,7 @@ from src.agent.summary_agent_v2 import DecisionHistory, SummaryAgentV2 from src.config import DEFAULT_PERP_FEE_RATES, get_config from src.data.data_enricher import MarketDataEnricher -from src.data.indicators import TechnicalIndicators +from src.data.indicators import TechnicalIndicators, TrendConfirmTracker, detect_strong_trend from src.data.market_data import MarketDataFetcher from src.data.market_monitor import MarketMonitor, MonitorConfig, VolatilityAlert from src.llm import LLMClientManager @@ -481,6 +481,9 @@ def _initialize_components(self): # 13. 初始化网格交易组件 self.grid_manager = None self.grid_agent = None + # 趋势过滤迟滞确认器（按 symbol 独立）：连续 N 周期同向强趋势才动作。 + # 无条件初始化，避免网格组件构造失败时 grid_cycle 引用缺失属性。 + self._grid_trend_trackers: dict[str, TrendConfirmTracker] = {} if self.config.grid_enabled: self.logger.print_info("初始化网格交易组件...") try: @@ -496,6 +499,11 @@ def _initialize_components(self): grid_limit_order_stop_loss_enabled=self.config.grid_limit_order_stop_loss_enabled, grid_reduce_only_exit_orders_enabled=self.config.grid_reduce_only_exit_orders_enabled, barrier_config=barrier_config, + on_round_trip_close=self._on_grid_round_trip_close, + max_position_notional_usd=self.config.grid_max_position_notional_usd, + trend_flatten_surgical=self.config.grid_trend_filter_surgical_flatten, + inventory_cap_strict=self.config.grid_inventory_cap_strict, + keep_grid_reconcile=self.config.grid_keep_grid_reconcile, ) self.grid_agent = GridAgent( @@ -509,6 +517,9 @@ def _initialize_components(self): width_pct_fallback=self.config.grid_width_fallback_pct, ai_width_blend_weight=self.config.grid_ai_blend_weight, force_neutral_mode=self.config.grid_force_neutral_mode, + max_leverage=self.config.max_leverage, + adaptive_sizing=self.config.grid_adaptive_sizing_enabled, + min_grid_num=self.config.grid_min_grid_num, ) self.logger.print_info("✅ 网格交易组件初始化完成") except Exception as e: @@ -1622,13 +1633,51 @@ def _send_shutdown_notification(self, reason: str = "正常关闭"): except Exception as e: self.logger.print_error(f"发送关闭通知失败: {e}") + def _on_grid_round_trip_close(self, symbol: str, pnl: float, forced: bool = False) -> None: + """网格每轮 round-trip 平仓回调：把逐轮盈亏喂给连亏熔断插件。 + + 连亏保护（``consecutive_loss``）完全由 ``on_trade_close`` 事件驱动；网格此前 + 从不上报逐笔盈亏，导致该插件在纯网格模式下形同虚设。此回调由 GridManager 在 + ``_record_round_trip``（forced=False，主动止盈）与紧急平仓/手术式减仓 + （forced=True，风控强平）中触发，补齐这条数据通路。 + + 注意：仅上报 ``on_trade_close``（盈亏事件），不上报 ``on_trade_open``——网格 + 持续滚动库存、没有干净的「单笔开仓」语义，position_timeout 不适用网格，故不接线。 + """ + if not self.protection_manager: + return + try: + self.protection_manager.on_trade_close(symbol=symbol, pnl=float(pnl), forced=forced) + except Exception as e: + self.logger.print_warning(f"[网格风控] round-trip 盈亏上报失败: {e}") + + def _detect_strong_trend(self, trends: dict[str, str]) -> int: + """从多周期趋势判断是否存在「一致强势」趋势（委托纯函数，便于单测）。 + + 计票范围受 ``grid_trend_filter_timeframes`` 白名单约束（None=全部周期， + 历史行为）；票数阈值 ``grid_trend_filter_min_votes``。 + + Returns: + +1=强势上涨, -1=强势下跌, 0=无一致强趋势。 + """ + return detect_strong_trend( + trends, + min_votes=self.config.grid_trend_filter_min_votes, + allowed_timeframes=self.config.grid_trend_filter_timeframes, + ) + def _grid_protection_triggered(self, symbol: str) -> bool: """ 网格周期的账户级风控熔断检查。 - 网格此前仅有 per-grid Triple Barrier（单网格止盈止损），缺少账户级回撤 / - 连亏 / 单日亏损熔断。此处复用永续同款 ``ProtectionManager.check_all``，在 - 布单前拦截： + 网格风控分两条通路： + - 账户级（本方法，``ProtectionManager.check_all``，按权益快照判定）：回撤 + （max_drawdown）与单日亏损（daily_loss）熔断，布单前拦截。 + - 逐轮级（``_on_grid_round_trip_close`` → ``on_trade_close``）：连亏熔断 + （consecutive_loss），由每轮 round-trip 盈亏驱动。 + position_timeout 依赖逐笔开仓事件，不适用持续滚动库存的网格，故未接入。 + + 本方法处理 check_all 的拦截动作： - ``CLOSE_ALL_POSITIONS``：平掉全部持仓 + 撤销该 symbol 的网格挂单（含 trigger）并清理网格状态，跳过本轮布单。 @@ -1721,8 +1770,8 @@ def grid_cycle(self): if cloud: cloud.send_cycle_event(symbol=symbol, phase="start") - # 账户级风控熔断（回撤/连亏/单日亏损）：网格此前只有 per-grid Triple Barrier， - # 此处复用永续同款 ProtectionManager，在布单前拦截。熔断时已平仓/撤单并跳过布单。 + # 账户级风控熔断（回撤/单日亏损，按权益判定）：在布单前拦截，熔断时已平仓/撤单并跳过布单。 + # 连亏熔断走另一条逐轮通路（_on_grid_round_trip_close → on_trade_close），不在此处。 if self.protection_manager and self._grid_protection_triggered(symbol): if cloud: cloud.send_cycle_event( @@ -1733,6 +1782,80 @@ def grid_cycle(self): ) return + # 净值快照 + 停机线短路（均为可选开关，默认关闭保持历史行为）。 + # 停机线：净值低于阈值且无持仓时跳过整个周期（不拉 5 档 K 线、不调 LLM）—— + # 线上账户 $7.71 熔断后仍每 5 分钟烧一次 LLM 调用即源于缺此闸。 + if self.config.grid_equity_snapshot_enabled or self.config.grid_halt_below_usd > 0: + try: + balance_info = self.order_manager.get_available_balance_info() + except Exception as e: + self.logger.print_warning(f"[Grid] 获取余额失败，跳过快照/停机检查: {e}") + balance_info = None + if balance_info and balance_info.get("status") == "ok": + equity = float( + balance_info.get("equity", balance_info.get("total", 0)) or 0 + ) + if self.config.grid_equity_snapshot_enabled: + # 持仓名义额单独取（balance_info 里没有此字段，此前一直记 0）； + # 取失败不阻断快照，记 0 并由 uPnL 字段暴露持仓存在 + position_notional = 0.0 + try: + for pos in self.order_manager.get_current_positions() or []: + if pos.get("coin") == symbol: + position_notional = abs( + float(pos.get("positionValue", 0) or 0) + ) + break + except Exception as pos_err: + self.logger.print_warning( + f"[Grid] 快照取持仓名义额失败: {pos_err}" + ) + self.logger.log_equity_snapshot( + equity=equity, + available=float(balance_info.get("available", 0) or 0), + unrealized_pnl=float(balance_info.get("unrealized_pnl", 0) or 0), + position_notional=position_notional, + symbol=symbol, + ) + halt_line = self.config.grid_halt_below_usd + if 0 < equity < halt_line: + try: + positions = self.order_manager.get_current_positions() or [] + has_position = any( + p.get("coin") == symbol or p.get("symbol") == symbol + for p in positions + ) + except Exception: + has_position = True # 查询失败按有持仓处理，不敢停 + if not has_position: + self.logger.print_warning( + f"[Grid] 💤 净值 ${equity:.2f} 低于停机线 ${halt_line:.2f} " + f"且无持仓，跳过本轮网格周期（不拉行情/不调 LLM）" + ) + if cloud: + cloud.send_cycle_event( + symbol=symbol, + phase="skip", + details={"reason": "低于停机线", "equity": equity}, + level="warn", + ) + return + + # Triple Barrier 每轮必查：独立于 AI action 分支，KEEP_GRID/ERROR 周期也兜底止损。 + # 触发即已紧急平仓（撤单+市价平仓+上报连亏熔断），本轮跳过布单。 + if self.grid_manager.check_barrier(symbol): + self.logger.print_warning( + "[网格风控] Triple Barrier 触发，已紧急平仓，跳过本轮布单" + ) + if cloud: + cloud.send_cycle_event( + symbol=symbol, + phase="skip", + details={"reason": "Triple Barrier 触发"}, + level="warn", + ) + return + df = self.market_fetcher.fetch_ohlcv( symbol=symbol, timeframe=self.config.timeframe, @@ -1761,11 +1884,53 @@ def grid_cycle(self): ) current_grid_summary = self.grid_manager.get_grid_summary(symbol) - ai_decision = self.grid_agent.make_decision( - market_data, - multi_timeframe_trends, - current_grid_summary, + # 趋势过滤：多周期一致强势时，本轮暂停网格加仓（合成 KEEP_GRID，仅维持 + # reduce_only 减仓保护单），可选平掉逆势库存。直接阻断「单边趋势里持续 + # 逆势做市」这一最大亏损源——中性网格在上涨里不断开空、空头无上限累积。 + # 迟滞确认（confirm_cycles/flatten_min_cycles，默认 1=历史行为）：单周期 + # 瞬时误判是线上 12.5 天 145 次强平的主要来源，连续同向确认后才动作， + # 且「暂停加仓」先行、「平逆势库存」靠后。 + raw_trend_dir = ( + self._detect_strong_trend(multi_timeframe_trends) + if self.config.grid_trend_filter_enabled + else 0 + ) + trend_tracker = self._grid_trend_trackers.setdefault( + symbol, + TrendConfirmTracker( + confirm_cycles=self.config.grid_trend_filter_confirm_cycles, + flatten_min_cycles=self.config.grid_trend_filter_flatten_min_cycles, + ), ) + trend_dir, flatten_allowed = trend_tracker.update(raw_trend_dir) + if trend_dir != 0: + arrow = "上涨" if trend_dir > 0 else "下跌" + _, streak_count = trend_tracker.streak + self.logger.print_warning( + f"[网格风控] 检测到强趋势（{arrow}，连续 {streak_count} 周期确认），" + f"本轮暂停网格加仓，仅维持减仓保护单" + ) + if self.config.grid_trend_filter_flatten_adverse and flatten_allowed: + self.grid_manager.flatten_adverse_inventory(symbol, trend_dir) + ai_decision = { + "action": "KEEP_GRID", + "mode": "NEUTRAL", + "confidence": 0.0, + "reason": f"强趋势({arrow})暂停加仓", + } + else: + if raw_trend_dir != 0: + _, streak_count = trend_tracker.streak + self.logger.print_info( + f"[网格风控] 检测到强趋势信号但未达连续确认周期 " + f"({streak_count}/{self.config.grid_trend_filter_confirm_cycles})，" + f"本轮暂不动作" + ) + ai_decision = self.grid_agent.make_decision( + market_data, + multi_timeframe_trends, + current_grid_summary, + ) # 记录网格决策到本地日志 + 云端 action = ai_decision.get("action", "UNKNOWN") diff --git a/pyproject.toml b/pyproject.toml index ebc2dba..cf130d6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,8 +5,9 @@ description = "基于 Pydantic AI 的 AI 驱动加密货币自动交易机器人 readme = "README.md" requires-python = ">=3.11" dependencies = [ - # Pydantic AI Core - "pydantic-ai>=1.0.0", + # Pydantic AI Core（钉在 1.107.0：1.108+ 移除 pydantic_ai.models.gemini 模块路径， + # llm_client 的 GeminiModel 导入会崩；升级需先适配新导入路径） + "pydantic-ai==1.107.0", # 交易所 SDK "hyperliquid-python-sdk>=0.21.0", diff --git a/src/agent/grid_agent.py b/src/agent/grid_agent.py index afc48da..cd9698b 100644 --- a/src/agent/grid_agent.py +++ b/src/agent/grid_agent.py @@ -34,6 +34,9 @@ def __init__( width_pct_fallback: float = DEFAULT_WIDTH_PCT_FALLBACK, ai_width_blend_weight: float = DEFAULT_AI_WIDTH_BLEND_WEIGHT, force_neutral_mode: bool = False, + max_leverage: int = 10, + adaptive_sizing: bool = False, + min_grid_num: int = 3, ): self.symbol = symbol self.order_manager = order_manager @@ -45,6 +48,11 @@ def __init__( self.width_pct_fallback = float(width_pct_fallback) self.ai_width_blend_weight = self._clamp(float(ai_width_blend_weight), 0.0, 1.0) self.force_neutral_mode = bool(force_neutral_mode) + # 数学引擎参数：真实杠杆上限（历史缺陷：调用方从不传 leverage，恒用默认 10， + # 与 config.max_leverage 脱钩）与自适应仓位开关。 + self.max_leverage = max(1, int(max_leverage)) + self.adaptive_sizing = bool(adaptive_sizing) + self.min_grid_num = max(2, int(min_grid_num)) def make_decision(self, market_data, multi_timeframe_trends, current_grid_summary): try: @@ -163,7 +171,18 @@ def make_decision(self, market_data, multi_timeframe_trends, current_grid_summar mode=mode, width_pct=dynamic_width_pct, grid_num=ai_decision.get("grid_num", 6), + leverage=self.max_leverage, + adaptive_sizing=self.adaptive_sizing, + min_grid_num=self.min_grid_num, ) + if math_config.get("action") == "INSUFFICIENT_CAPITAL": + # 资金撑不起最小网格：拒绝布单并醒目告警，避免小账户被最小单格金额 + # 反向放大成超额敞口（线上 $7.71 账户 16 倍名义敞口的直接根因）。 + self.logger.print_error( + f"[GridAgent] 💸 资金不足拒绝布单: {math_config.get('reason', '')}" + ) + math_config["confidence"] = confidence + return math_config math_config["reason"] = ai_decision.get("reason", "AI 触发数学引擎更新") math_config["width_pct"] = dynamic_width_pct # 透传置信度，避免云端监控指标恒为 0 diff --git a/src/config.py b/src/config.py index 0dd1969..b021d83 100644 --- a/src/config.py +++ b/src/config.py @@ -199,6 +199,86 @@ def _init_trading_config(self): trading.get("grid_force_neutral_mode"), False, ) + # 网格库存硬上限（USD 净持仓名义额）：净持仓名义额达到此值后，禁止再往「加剧当前 + # 持仓方向」的方向挂开仓单（只放行减仓方向）。专治单边趋势中逆势库存无限累积—— + # 这是线上最大亏损根因（中性网格在上涨里不断开空、空头库存无上限放大）。 + # 默认 0 = 关闭（保持历史行为）。 + self.grid_max_position_notional_usd: float = float( + trading.get("grid_max_position_notional_usd", 0) or 0 + ) + # 网格趋势过滤：多周期趋势一致强势（强势上涨/下跌票数达阈值）时，本轮暂停网格加仓 + # （等价于一次 KEEP_GRID，仅维持 reduce_only 减仓保护单），避免逆势做市。默认关闭。 + self.grid_trend_filter_enabled: bool = self._as_bool( + trading.get("grid_trend_filter_enabled"), + False, + ) + # 触发趋势过滤所需的「强势」周期票数（多周期趋势里 强势上涨 或 强势下跌 的计数阈值）。 + self.grid_trend_filter_min_votes: int = int( + trading.get("grid_trend_filter_min_votes", 3) or 3 + ) + # 趋势过滤触发时，是否市价平掉与趋势相反的逆势库存（强力止血，如上涨趋势里平掉空头）。 + # 默认关闭（仅暂停加仓，不主动平仓）。 + self.grid_trend_filter_flatten_adverse: bool = self._as_bool( + trading.get("grid_trend_filter_flatten_adverse"), + False, + ) + # 趋势过滤参与计票的周期白名单（如 ["15m","1h","4h","1d"]，支持中文键"15分钟"等）。 + # None/空 = 全部 5 个周期参与（保持历史行为）。线上验证 1m 周期噪声会把普通回调 + # 误判成强趋势，触发不必要的平仓——建议生产排除 1m。 + _tf_whitelist = trading.get("grid_trend_filter_timeframes") + self.grid_trend_filter_timeframes: list[str] | None = ( + [str(tf) for tf in _tf_whitelist] if _tf_whitelist else None + ) + # 趋势需连续确认的周期数：连续 N 个网格周期检测到同向强趋势才生效（迟滞去抖）。 + # 默认 1 = 立即生效（保持历史行为）。线上 12.5 天 145 次强平大多来自单周期瞬时误判。 + self.grid_trend_filter_confirm_cycles: int = max( + 1, int(trading.get("grid_trend_filter_confirm_cycles", 1) or 1) + ) + # 平逆势库存所需的连续确认周期数（≥ confirm_cycles）：暂停加仓先行、市价平仓靠后， + # 给均值回归留出空间。默认 1 = 确认即平（保持历史行为）。 + self.grid_trend_filter_flatten_min_cycles: int = max( + self.grid_trend_filter_confirm_cycles, + int(trading.get("grid_trend_filter_flatten_min_cycles", 1) or 1), + ) + # 手术式平逆势库存：只平「超出库存上限的逆势部分」，保留网格挂单与层级状态， + # 不触发重建冷却。默认关闭 = 沿用历史行为（全量拆网 _emergency_close_all， + # 线上验证该行为 12.5 天拆网 145 次、每次都在摆动极值实现亏损并重建）。 + self.grid_trend_filter_surgical_flatten: bool = self._as_bool( + trading.get("grid_trend_filter_surgical_flatten"), + False, + ) + # 库存上限严格模式：名义额计入同向未成交挂单（防一轮布单后同向全部成交导致超限数倍）， + # 且取价/查单失败时 fail-closed（拦截加仓而非放行）。默认关闭（保持历史行为）。 + self.grid_inventory_cap_strict: bool = self._as_bool( + trading.get("grid_inventory_cap_strict"), + False, + ) + # KEEP_GRID 周期对账：撤掉交易所上与本地层级/状态无对应的非 reduce_only 残留挂单。 + # 默认关闭（保持历史行为：残单靠成交后"无对应持仓"事后清理，线上单日出现 194 次）。 + self.grid_keep_grid_reconcile: bool = self._as_bool( + trading.get("grid_keep_grid_reconcile"), + False, + ) + # 自适应仓位：单格金额与真实净值挂钩——资金不足时减少格数而非抬高单格金额； + # 格数低于下限时返回 INSUFFICIENT_CAPITAL 拒绝布单。默认关闭（保持历史行为： + # 单格金额被硬编码钳制在 $15.5~$25.5，线上 $7.71 账户被放大成 16 倍名义敞口）。 + self.grid_adaptive_sizing_enabled: bool = self._as_bool( + trading.get("grid_adaptive_sizing_enabled"), + False, + ) + # 自适应仓位允许的最少格数（低于此数视为资金不足，拒绝布单）。 + self.grid_min_grid_num: int = max(2, int(trading.get("grid_min_grid_num", 3) or 3)) + # 网格停机线（USD）：净值低于此值且无持仓时，跳过整个网格周期（不拉行情、不调 LLM）， + # 仅打一行日志。默认 0 = 关闭。线上账户 $7.71 熔断后仍每 5 分钟烧一次 LLM 调用即源于缺此闸。 + self.grid_halt_below_usd: float = max( + 0.0, float(trading.get("grid_halt_below_usd", 0) or 0) + ) + # 每周期净值快照：把 equity/available/未实现盈亏写入 logs/equity/*.jsonl（观测净值曲线）。 + # 默认关闭。线上 12.5 天亏 39% 无一处结构化记录可回答"钱去哪了"，即源于缺此项。 + self.grid_equity_snapshot_enabled: bool = self._as_bool( + trading.get("grid_equity_snapshot_enabled"), + False, + ) # 最大杠杆倍数（AI可自主选择1到此上限之间的任何杠杆） # 向后兼容：支持旧字段名 default_leverage diff --git a/src/data/indicators.py b/src/data/indicators.py index f747313..08ba641 100644 --- a/src/data/indicators.py +++ b/src/data/indicators.py @@ -581,5 +581,94 @@ def test_indicators(): print(summary) +# ── 强趋势检测（网格趋势过滤用，纯函数便于单测）───────────────────────────── + +# 英文周期名 → get_multi_timeframe_trend 输出的中文键 +TREND_TIMEFRAME_ALIASES = { + "1d": "日线", + "4h": "4小时", + "1h": "1小时", + "15m": "15分钟", + "1m": "1分钟", +} + + +def detect_strong_trend( + trends: dict[str, str] | None, + min_votes: int, + allowed_timeframes: list[str] | None = None, +) -> int: + """从多周期趋势判断是否存在「一致强势」趋势。 + + 仅把 ``analyze_trend`` 的两个最强状态（``强势上涨``/``强势下跌``）计票，避免在 + 震荡/转折市误判（保守取向：宁可不拦，也不在震荡里错停网格）。票数达到 ``min_votes`` + 且占优方向明确时返回 ±1。 + + Args: + trends: get_multi_timeframe_trend 的输出（中文键 → 趋势文案）。 + min_votes: 触发所需的强势周期票数。 + allowed_timeframes: 参与计票的周期白名单（支持英文 "1m" 或中文 "1分钟"）。 + None/空 = 全部周期参与（历史行为）。用于排除 1m 等噪声周期。 + + Returns: + +1=强势上涨, -1=强势下跌, 0=无一致强趋势。 + """ + if not trends: + return 0 + if allowed_timeframes: + allowed_keys = {TREND_TIMEFRAME_ALIASES.get(tf, tf) for tf in allowed_timeframes} + trends = {k: v for k, v in trends.items() if k in allowed_keys} + up = sum(1 for v in trends.values() if v == "强势上涨") + down = sum(1 for v in trends.values() if v == "强势下跌") + if up >= min_votes and up > down: + return 1 + if down >= min_votes and down > up: + return -1 + return 0 + + +class TrendConfirmTracker: + """趋势连续确认器（迟滞去抖）。 + + 单周期的强趋势判定噪声很大——线上 12.5 天里趋势过滤强平 145 次，多数由 + 瞬时误判触发。本类要求同向信号连续出现 N 个周期才放行动作： + ``confirm_cycles`` 控制「暂停加仓」生效门槛，``flatten_min_cycles`` 控制 + 「市价平逆势库存」生效门槛（更高，让暂停先行、平仓靠后）。 + 方向翻转或消失时计数即归零，无跨方向记忆。 + """ + + def __init__(self, confirm_cycles: int = 1, flatten_min_cycles: int = 1): + self.confirm_cycles = max(1, int(confirm_cycles)) + self.flatten_min_cycles = max(self.confirm_cycles, int(flatten_min_cycles)) + self._streak_dir = 0 + self._streak_count = 0 + + def update(self, raw_dir: int) -> tuple[int, bool]: + """输入本周期原始趋势方向，返回 (生效方向, 是否允许平逆势库存)。 + + Returns: + (effective_dir, flatten_allowed)： + effective_dir 在连续同向 ≥ confirm_cycles 时等于 raw_dir，否则 0； + flatten_allowed 仅在连续同向 ≥ flatten_min_cycles 时为 True。 + """ + if raw_dir == 0: + self._streak_dir = 0 + self._streak_count = 0 + return 0, False + if raw_dir == self._streak_dir: + self._streak_count += 1 + else: + self._streak_dir = raw_dir + self._streak_count = 1 + effective = raw_dir if self._streak_count >= self.confirm_cycles else 0 + flatten_allowed = self._streak_count >= self.flatten_min_cycles + return effective, flatten_allowed + + @property + def streak(self) -> tuple[int, int]: + """当前连续方向与计数（调试/日志用）。""" + return self._streak_dir, self._streak_count + + if __name__ == "__main__": test_indicators() diff --git a/src/plugins/protections/base.py b/src/plugins/protections/base.py index 4d9795e..ef9da2f 100644 --- a/src/plugins/protections/base.py +++ b/src/plugins/protections/base.py @@ -99,8 +99,22 @@ def on_trade_open( """开仓事件回调（子类按需覆盖）""" return # noqa: B027 — 非抽象，子类按需覆盖 - def on_trade_close(self, symbol: str, pnl: float, timestamp: datetime | None = None) -> None: - """平仓事件回调（子类按需覆盖）""" + def on_trade_close( + self, + symbol: str, + pnl: float, + timestamp: datetime | None = None, + forced: bool = False, + ) -> None: + """平仓事件回调（子类按需覆盖）。 + + Args: + forced: True 表示这是风控/保护机制的强制平仓（紧急平仓、趋势过滤减仓等）， + 而非策略主动止盈平仓。与 ``on_position_dropped`` 的区别：本回调携带 + 真实 pnl（强平亏损必须计入亏损类计数器，否则连亏熔断对网格最大的 + 亏损来源不可见）；插件可按 forced 区分语义——例如连亏熔断对 + forced 且盈利的平仓不重置计数（强平的浮盈了结不代表策略健康）。 + """ return # noqa: B027 — 非抽象，子类按需覆盖 def on_position_dropped(self, symbol: str) -> None: diff --git a/src/plugins/protections/consecutive_loss.py b/src/plugins/protections/consecutive_loss.py index 6a6b536..f31274c 100644 --- a/src/plugins/protections/consecutive_loss.py +++ b/src/plugins/protections/consecutive_loss.py @@ -82,14 +82,30 @@ def check(self, context: ProtectionContext) -> ProtectionReturn: self.save_state() return ProtectionReturn(triggered=False) - def on_trade_close(self, symbol: str, pnl: float, timestamp: datetime | None = None) -> None: - """平仓事件：更新连续亏损计数""" + def on_trade_close( + self, + symbol: str, + pnl: float, + timestamp: datetime | None = None, + forced: bool = False, + ) -> None: + """平仓事件：更新连续亏损计数。 + + forced_close_no_reset 开启时，风控强制平仓（forced=True）的净盈利不重置计数、 + 也不递增——强平时恰好浮盈了结不代表策略健康，只有主动止盈的盈利才算「打破连亏」。 + 线上实证：12.5 天 145 次趋势过滤强平（正负盈亏交替）把计数反复清零， + 连亏熔断全程 0 次触发，该保护形同虚设。默认关闭（保持历史行为）。 + """ max_losses = self.config.get("max_consecutive_losses", 5) per_symbol = self.config.get("per_symbol", False) pause_hours = self.config.get("pause_hours", 4.0) + forced_no_reset = self.config.get("forced_close_no_reset", False) now = timestamp or datetime.now() with self._lock: + if forced and forced_no_reset and pnl > 0: + # 强平净盈利：不重置也不递增，计数保持原状 + return if pnl > 0: # 盈利：重置计数 self._global_losses = 0 diff --git a/src/plugins/protections/drawdown.py b/src/plugins/protections/drawdown.py index 37399da..d5d4868 100644 --- a/src/plugins/protections/drawdown.py +++ b/src/plugins/protections/drawdown.py @@ -54,7 +54,17 @@ def check(self, context: ProtectionContext) -> ProtectionReturn: if elapsed >= pause_hours: self._is_paused = False self._pause_reason = "" - logger.info("最大回撤保护暂停期已过，恢复交易") + # 冷静期结束后，把高水位峰值重置为当前净值，从新基准重新计量回撤。 + # 否则峰值永远停在触发前的旧高点：恢复交易后，同一笔已经发生的回撤会 + # 立刻被再次判定超限而重新暂停——"暂停 N 小时后自动恢复"形同死代码， + # 账户被永久锁死（尤其 CLOSE_ALL 平成空仓后净值盯市冻结，永远回不到 + # 旧峰值）。重置后从新基准继续保护：再跌一个阈值仍会照常触发。 + self._peak_equity = context.equity + self._last_protection_time = None + logger.info( + "最大回撤保护暂停期已过，恢复交易（高水位重置为当前净值 $%.2f）", + context.equity, + ) # 如果仍在暂停中 if self._is_paused: @@ -73,6 +83,16 @@ def check(self, context: ProtectionContext) -> ProtectionReturn: drawdown_pct = (self._peak_equity - context.equity) / self._peak_equity + # 绝对额下限（可选，默认 0=关闭）：小账户上纯百分比触发线是噪声级别—— + # 线上 $8.61 账户的 10% 触发线只有 $0.86，一根普通 K 线即可击穿；且冷静期后 + # 高水位重置使熔断变成「下跌节拍器」（$12.64→$11.37→$10.21→$8.94→$7.71， + # 每级恰好 ~10%）。要求回撤绝对额同时达标可避免噪声级触发。 + min_drawdown_usd = float(self.config.get("min_drawdown_usd", 0) or 0) + drawdown_usd = self._peak_equity - context.equity + if min_drawdown_usd > 0 and drawdown_usd < min_drawdown_usd: + self.save_state() + return ProtectionReturn(triggered=False) + if drawdown_pct >= max_drawdown_pct: reason = ( f"最大回撤保护触发: 回撤 {drawdown_pct:.1%} >= 阈值 {max_drawdown_pct:.1%} " diff --git a/src/plugins/protections/manager.py b/src/plugins/protections/manager.py index a2ad629..0578ca1 100644 --- a/src/plugins/protections/manager.py +++ b/src/plugins/protections/manager.py @@ -3,6 +3,7 @@ 基于注册表模式编排多个保护插件，提供统一的检查和事件分发接口。 """ +import inspect import logging from collections.abc import Callable from datetime import datetime @@ -41,6 +42,9 @@ def __init__( self._plugins: list[IProtection] = [] self._on_triggered = on_protection_triggered self._data_dir = data_dir or Path("data/protection") + # 触发日志去重：暂停期内每个周期都会重复触发同一原因（线上单次熔断刷出 726 条 + # 重复 WARNING），仅在原因变化时用 WARNING，重复时降为 DEBUG。 + self._last_trigger_reason: dict[str, str] = {} for cfg in protections_config: name = cfg.get("name", "") @@ -82,14 +86,27 @@ def check_all(self, context: ProtectionContext) -> list[ProtectionReturn]: if result.triggered: result.plugin_name = plugin.name results.append(result) - logger.warning( - "保护插件 %s 触发: %s (动作: %s)", - plugin.name, - result.reason, - result.action, - ) + if self._last_trigger_reason.get(plugin.name) == result.reason: + # 暂停期内同一原因重复触发：降为 DEBUG，避免刷屏淹没真实事件 + logger.debug( + "保护插件 %s 持续触发中: %s (动作: %s)", + plugin.name, + result.reason, + result.action, + ) + else: + self._last_trigger_reason[plugin.name] = result.reason + logger.warning( + "保护插件 %s 触发: %s (动作: %s)", + plugin.name, + result.reason, + result.action, + ) if self._on_triggered: self._on_triggered(result.reason) + else: + # 恢复正常后清除去重记录：下次再触发（哪怕同一原因）重新用 WARNING + self._last_trigger_reason.pop(plugin.name, None) except Exception as e: logger.error("保护插件 %s 检查异常: %s", plugin.name, e) return results @@ -172,13 +189,23 @@ def on_trade_open( except Exception as e: logger.error("插件 %s on_trade_open 异常: %s", plugin.name, e) - def on_trade_close(self, symbol: str, pnl: float, timestamp: datetime | None = None) -> None: - """分发平仓事件到所有插件""" + def on_trade_close( + self, + symbol: str, + pnl: float, + timestamp: datetime | None = None, + forced: bool = False, + ) -> None: + """分发平仓事件到所有插件（forced=True 表示风控强制平仓，见 IProtection 文档）""" for plugin in self._plugins: if not plugin.enabled: continue try: - plugin.on_trade_close(symbol, pnl, timestamp=timestamp) + # 兼容未升级签名的自定义插件：不支持 forced 参数时退回旧调用 + if "forced" in inspect.signature(plugin.on_trade_close).parameters: + plugin.on_trade_close(symbol, pnl, timestamp=timestamp, forced=forced) + else: + plugin.on_trade_close(symbol, pnl, timestamp=timestamp) except Exception as e: logger.error("插件 %s on_trade_close 异常: %s", plugin.name, e) diff --git a/src/plugins/protections/position_timeout.py b/src/plugins/protections/position_timeout.py index 44009cb..aecf220 100644 --- a/src/plugins/protections/position_timeout.py +++ b/src/plugins/protections/position_timeout.py @@ -97,8 +97,14 @@ def on_trade_open( } self.save_state() - def on_trade_close(self, symbol: str, pnl: float, timestamp: datetime | None = None) -> None: - """移除持仓记录""" + def on_trade_close( + self, + symbol: str, + pnl: float, + timestamp: datetime | None = None, + forced: bool = False, + ) -> None: + """移除持仓记录（forced 与否均只做清理，不涉及盈亏语义）""" with self._lock: self._position_records.pop(symbol, None) self.save_state() diff --git a/src/trading/client.py b/src/trading/client.py index aa56511..2e53dba 100644 --- a/src/trading/client.py +++ b/src/trading/client.py @@ -176,6 +176,24 @@ def fetch_user_fee_rates( growth_mode=growth_mode, ) + def _is_unified_account(self) -> bool | None: + """判定当前地址是否为保证金合一账户（unifiedAccount/portfolioMargin）。 + + 经官方 userAbstraction 接口判定，结果缓存（账户模式极少变更）， + 经典账户后续调用零额外开销。查询失败返回 None（未知，交由调用方降级）。 + """ + cached = getattr(self, "_abstraction_mode", None) + if cached is None: + try: + cached = self._request_with_fallback( + "query_user_abstraction_state", self.address + ) + except Exception as e: + print(f"⚠️ 账户模式查询失败（userAbstraction）: {e}") + return None + self._abstraction_mode = cached + return cached in ("unifiedAccount", "portfolioMargin") + def get_balance(self) -> dict[str, Any] | None: """ 获取账户余额信息 @@ -195,13 +213,38 @@ def get_balance(self) -> dict[str, Any] | None: margin_summary = user_state.get("marginSummary", {}) account_value = float(margin_summary.get("accountValue", 0)) total_margin_used = float(margin_summary.get("totalMarginUsed", 0)) + withdrawable = user_state.get("withdrawable", "0") + + # 统一账户（unified account）兼容：新式账户 spot/perp 保证金合一， + # 总净值以 spot 视图为准（USDC total=总抵押，hold=持仓/挂单占用）， + # perp marginSummary 无持仓时恒 0、有持仓时仅等于被占用的那部分抵押 + # （实测：$11 账户开仓后 perp accountValue 只剩 $2.28 == spot hold）， + # 两种形态都会严重低估净值。官方判定接口 userAbstraction 返回 + # "unifiedAccount"/"portfolioMargin"（合一模式）或 "default"（经典）， + # 结果缓存；判定失败时退回启发式（perp 视图无资产才尝试 spot）。 + unified = self._is_unified_account() + if unified or (unified is None and account_value <= 0): + try: + spot_state = self._request_with_fallback("spot_user_state", self.address) + for balance in spot_state.get("balances", []) or []: + if balance.get("coin") != "USDC": + continue + usdc_total = float(balance.get("total", 0)) + if usdc_total > 0: + account_value = usdc_total + total_margin_used = float(balance.get("hold", 0)) + withdrawable = str(account_value - total_margin_used) + break + except Exception as spot_err: + # spot 查询失败时维持 perp 视图结果，不因兼容路径引入新故障 + print(f"⚠️ 统一账户 spot 余额回退查询失败: {spot_err}") return { "accountValue": account_value, "totalMarginUsed": total_margin_used, "totalRawUsd": float(margin_summary.get("totalRawUsd", 0)), "available": account_value - total_margin_used, - "withdrawable": user_state.get("withdrawable", "0"), + "withdrawable": withdrawable, } except Exception as e: print(f"❌ 获取余额失败: {e}") diff --git a/src/trading/grid_manager.py b/src/trading/grid_manager.py index a92ea9d..d6bdaf2 100644 --- a/src/trading/grid_manager.py +++ b/src/trading/grid_manager.py @@ -9,6 +9,7 @@ import shutil import tempfile import time +from collections.abc import Callable from contextlib import suppress from decimal import Decimal from typing import Any @@ -56,11 +57,27 @@ def __init__( grid_rebuild_cooldown_seconds: int = DEFAULT_GRID_REBUILD_COOLDOWN_SECONDS, grid_rebuild_min_price_change_ratio: float = DEFAULT_GRID_REBUILD_MIN_PRICE_CHANGE_RATIO, barrier_config: TripleBarrierConfig | None = None, + on_round_trip_close: Callable[[str, float], None] | None = None, + max_position_notional_usd: float = 0.0, + trend_flatten_surgical: bool = False, + inventory_cap_strict: bool = False, + keep_grid_reconcile: bool = False, ): self.order_manager = order_manager self.logger = logger self.notifier = notifier self.state_file = state_file + # 网格库存硬上限（USD 净持仓名义额）：>0 时启用。净持仓名义额达此值后禁止同向加仓。 + self.max_position_notional_usd = max(0.0, self._safe_float(max_position_notional_usd, 0.0)) + # 手术式平逆势库存：只平超出上限的逆势层级，保留网格挂单与层级状态（默认关闭=全量拆网） + self.trend_flatten_surgical = bool(trend_flatten_surgical) + # 库存上限严格模式：名义额计入同向未成交挂单，取价/查单失败 fail-closed（默认关闭） + self.inventory_cap_strict = bool(inventory_cap_strict) + # KEEP_GRID 周期对账：撤掉交易所上与本地状态无对应的非 reduce_only 残留挂单（默认关闭） + self.keep_grid_reconcile = bool(keep_grid_reconcile) + # 每轮 round-trip 平仓回调：把网格逐轮盈亏上报给账户级风控（连亏熔断）。 + # GridManager 不直接依赖 ProtectionManager，仅通过回调解耦上报，main.py 负责接线。 + self.on_round_trip_close = on_round_trip_close self.grid_limit_order_take_profit_enabled = bool(grid_limit_order_take_profit_enabled) self.grid_limit_order_stop_loss_enabled = bool(grid_limit_order_stop_loss_enabled) self.grid_reduce_only_exit_orders_enabled = bool(grid_reduce_only_exit_orders_enabled) @@ -194,6 +211,11 @@ def sync_grid(self, symbol: str, ai_config: dict[str, Any]): self.logger.print_info( f"{symbol}: AI 返回 KEEP_GRID，本轮仅检查减仓保护单（reduce_only）" ) + elif action == "INSUFFICIENT_CAPITAL": + self.logger.print_error( + f"{symbol}: 💸 资金不足以支撑最小网格，本轮拒绝布单。" + f"原因: {ai_config.get('reason', 'unknown')}" + ) elif action == "ERROR": reason = str(ai_config.get("reason", "unknown")) self.logger.print_warning(f"{symbol}: AI 决策异常 action=ERROR，reason={reason}") @@ -206,6 +228,22 @@ def sync_grid(self, symbol: str, ai_config: dict[str, Any]): f"{symbol}: AI 返回未知 action={action}，按保守策略仅检查减仓保护单" ) + # 对账：撤掉交易所上与本地层级/状态无对应的非 reduce_only 残单。 + # 历史缺陷：KEEP_GRID 分支从不清理残单，靠成交后「无对应持仓」事后移除 + # （线上单日 194 次），期间残单可能意外成交产生计划外库存。 + if self.keep_grid_reconcile: + self._reconcile_orphan_orders(symbol) + + # 网格空转告警：层级已被清空（紧急平仓/熔断后）且无持仓时，网格没有任何 + # 挂单在工作，只能等 AI 下一次 UPDATE_GRID 重建——这段时间是纯空转， + # 醒目提示避免误以为网格还在运行。 + if not self.grid_levels.get(symbol) and action == "KEEP_GRID": + if abs(self._get_symbol_position_size(symbol)) <= 0: + self.logger.print_warning( + f" [Grid] 💤 {symbol} 网格空转中：无层级、无持仓，" + f"等待 AI 返回 UPDATE_GRID 重建" + ) + if self.grid_reduce_only_exit_orders_enabled: self._ensure_min_orders(symbol=symbol) else: @@ -282,6 +320,30 @@ def sync_grid(self, symbol: str, ai_config: dict[str, Any]): buy_orders = [] sell_orders = [] + # 库存上限预判。宽松模式：挂限价单不改变持仓，两个布尔整轮稳定，一次算好即可。 + # 严格模式：同向挂单计入敞口，而本循环自己挂出的单不会被入口检查看见—— + # 一次性布尔会放行整轮批量挂单，把潜在同向库存推到上限数倍（线上实测： + # 空头敞口 $14.6 < 上限 $40 放行后，一轮挂出 4×$50 卖单，潜在敞口 $214）。 + # 故严格模式改为额度制：本轮已挂同向名义额计入预算，耗尽即跳过剩余同向单。 + buy_headroom = sell_headroom = None + if self.inventory_cap_strict and self.max_position_notional_usd > 0: + buy_headroom = self._inventory_headroom_usd(symbol, is_buy_open=True) + sell_headroom = self._inventory_headroom_usd(symbol, is_buy_open=False) + block_buy_open = buy_headroom <= 0 + block_sell_open = sell_headroom <= 0 + else: + block_buy_open = self._would_exceed_inventory_cap(symbol, is_buy_open=True) + block_sell_open = self._would_exceed_inventory_cap(symbol, is_buy_open=False) + if block_buy_open or block_sell_open: + self.logger.print_warning( + f" [Grid] 🚧 库存达上限 ${self.max_position_notional_usd:.0f}，" + f"本轮跳过{'买' if block_buy_open else ''}{'卖' if block_sell_open else ''}开仓单（防逆势累积）" + ) + placed_buy_notional = 0.0 + placed_sell_notional = 0.0 + budget_warned_buy = False + budget_warned_sell = False + # 3. 重新布置 for i, p in enumerate(prices): if i > 0: @@ -289,6 +351,16 @@ def sync_grid(self, symbol: str, ai_config: dict[str, Any]): try: if p < current_price: + if block_buy_open: + continue + if buy_headroom is not None and placed_buy_notional + new_amount > buy_headroom: + if not budget_warned_buy: + self.logger.print_warning( + f" [Grid] 🚧 买开仓额度耗尽（本轮已挂 ${placed_buy_notional:.0f}" + f" / 余量 ${buy_headroom:.0f}），剩余买开仓单跳过" + ) + budget_warned_buy = True + continue res = self.order_manager.execute_long_limit( symbol, new_amount, @@ -303,6 +375,7 @@ def sync_grid(self, symbol: str, ai_config: dict[str, Any]): oid = self._extract_oid(res["limit_order"]) if oid: buy_orders.append({"oid": oid, "px": p}) + placed_buy_notional += new_amount self.logger.print_info(f" [Grid] ✅ 买单挂载: ${p}") self.logger.log_trade( symbol=symbol, @@ -317,6 +390,16 @@ def sync_grid(self, symbol: str, ai_config: dict[str, Any]): f" [Grid] ⚠️ 买单跳过 @ ${p}: {res.get('message', 'unknown')}" ) elif p > current_price: + if block_sell_open: + continue + if sell_headroom is not None and placed_sell_notional + new_amount > sell_headroom: + if not budget_warned_sell: + self.logger.print_warning( + f" [Grid] 🚧 卖开仓额度耗尽（本轮已挂 ${placed_sell_notional:.0f}" + f" / 余量 ${sell_headroom:.0f}），剩余卖开仓单跳过" + ) + budget_warned_sell = True + continue res = self.order_manager.execute_short_limit( symbol, new_amount, @@ -331,6 +414,7 @@ def sync_grid(self, symbol: str, ai_config: dict[str, Any]): oid = self._extract_oid(res["limit_order"]) if oid: sell_orders.append({"oid": oid, "px": p}) + placed_sell_notional += new_amount self.logger.print_info(f" [Grid] ✅ 卖单挂载: ${p}") self.logger.log_trade( symbol=symbol, @@ -644,6 +728,46 @@ def _cleanup_orphan_trigger_orders(self, symbol: str): except Exception as e: self.logger.print_error(f" [Grid] ❌ 清理孤儿 trigger 单失败: {e}") + def _reconcile_orphan_orders(self, symbol: str): + """撤掉交易所上与本地层级/状态无对应的非 reduce_only 残留挂单。 + + 「孤儿单」来源：全量重建被中断、崩溃恢复后状态漂移、紧急平仓撤单失败残留等。 + reduce_only 单不动（属于 ``_ensure_min_orders`` 的减仓保护单簿记，撤了会互相打架）； + trigger 单由 ``_cleanup_orphan_trigger_orders`` 单独治理。 + """ + try: + open_orders = self._get_symbol_open_orders(symbol) + except Exception as e: + self.logger.print_error(f" [Grid] ❌ 对账查单失败: {e}") + return + + known_oids: set[int] = set() + for level in self.grid_levels.get(symbol) or []: + if level.open_order_id is not None: + known_oids.add(level.open_order_id) + if level.close_order_id is not None: + known_oids.add(level.close_order_id) + grid = self.state["active_grids"].get(symbol) or {} + for order in list(grid.get("buy_orders") or []) + list(grid.get("sell_orders") or []): + if isinstance(order, dict) and order.get("oid") is not None: + known_oids.add(order["oid"]) + + canceled = 0 + for order in open_orders: + oid = order.get("oid") + if oid is None or oid in known_oids: + continue + if bool(order.get("reduceOnly", False)): + continue # 减仓保护单不属于层级簿记，跳过 + if self._is_trigger_order(order): + continue + if self._cancel_order_with_retry(symbol, oid): + canceled += 1 + if canceled: + self.logger.print_warning( + f" [Grid] 🧹 对账撤掉无主残单 {canceled} 个（{symbol}）" + ) + def _get_symbol_position_size(self, symbol: str) -> float: try: positions = self.order_manager.get_current_positions() or [] @@ -656,6 +780,260 @@ def _get_symbol_position_size(self, symbol: str) -> float: return self._safe_float(position.get("szi"), 0.0) return 0.0 + def _would_exceed_inventory_cap(self, symbol: str, is_buy_open: bool) -> bool: + """库存上限守卫：净持仓名义额已达上限时，禁止再往「加剧当前持仓方向」的方向开仓。 + + 这是单边趋势亏损的根因防线——中性网格在上涨里不断成交上方卖单开空，空头库存 + 无任何上限地累积，最终被市价平掉造成大额亏损。启用后：净空头达上限就不再放行卖开仓单 + （但仍放行买开仓单以减仓/反向收敛），反之亦然。 + + Args: + is_buy_open: True=买入开多单（增多头敞口）；False=卖出开空单（增空头敞口）。 + Returns: + True 表示该开仓单会加剧已超限的同向库存，应跳过。 + """ + cap = self.max_position_notional_usd + if cap <= 0: + return False # 未启用 + + if self.inventory_cap_strict: + try: + directional_exposure = self._directional_exposure_usd(symbol, is_buy_open) + except Exception as e: + # 严格模式 fail-closed：取数失败时拦截加仓。异常行情/接口抖动时恰恰是 + # 逆势库存风险最高的时刻，宽松放行（历史行为）等于风控在最需要时缺位。 + self.logger.print_warning( + f" [Grid] 🚧 库存上限检查取数失败（{e}），严格模式拦截{symbol}开仓单" + ) + return True + return directional_exposure >= cap + + # ── 宽松模式：历史行为，只看已成交持仓，不看未成交挂单 ── + position_size = self._get_symbol_position_size(symbol) + if abs(position_size) <= 0: + return False # 当前空仓即放行 + try: + price = self.order_manager.client.get_current_price(symbol) or 0.0 + except Exception: + return False # 取价失败不拦截，避免误伤正常布单 + pos_notional = abs(position_size) * float(price) + pos_is_long = position_size > 0 + adding_same_direction = (is_buy_open and pos_is_long) or ( + (not is_buy_open) and (not pos_is_long) + ) + if pos_notional < cap: + return False + return adding_same_direction # 仅在已达上限时拦截同向加仓 + + def _directional_exposure_usd(self, symbol: str, is_buy_open: bool) -> float: + """严格模式口径的方向化敞口名义额（USD）。 + + = 同向持仓名义额（反向持仓为负、先抵扣）+ 同向非 reduce-only 挂单名义额。 + 取价/查单失败时抛出异常，由调用方按 fail-closed 语义处理。 + """ + position_size = self._get_symbol_position_size(symbol) + price = self.order_manager.client.get_current_price(symbol) or 0.0 + if price <= 0: + raise ValueError(f"无效价格 {price}") + + pos_notional = abs(position_size) * float(price) + pos_is_long = position_size > 0 + if abs(position_size) <= 0: + directional_exposure = 0.0 + elif (is_buy_open and pos_is_long) or ((not is_buy_open) and (not pos_is_long)): + directional_exposure = pos_notional # 持仓与拟开方向相同 + else: + directional_exposure = -pos_notional # 反向持仓：新开单先抵消库存 + + open_orders = self._get_symbol_open_orders(symbol) + side_check = self._is_buy_side if is_buy_open else self._is_sell_side + for order in open_orders: + # reduce_only 挂单只减仓不加库存，不计入 + if bool(order.get("reduceOnly", False)): + continue + if not side_check(order): + continue + px = self._safe_float(order.get("limitPx"), 0.0) + sz = self._safe_float(order.get("sz"), 0.0) + directional_exposure += abs(px * sz) + return directional_exposure + + def _inventory_headroom_usd(self, symbol: str, is_buy_open: bool) -> float: + """严格模式下拟开方向距库存上限的剩余名义额度（USD，不小于 0）。 + + 批量重建用它做额度制预算：本轮已挂同向名义额累计扣减，耗尽即跳过。 + 取数失败返回 0.0（fail-closed，与 _would_exceed_inventory_cap 一致）。 + """ + cap = self.max_position_notional_usd + try: + directional_exposure = self._directional_exposure_usd(symbol, is_buy_open) + except Exception as e: + self.logger.print_warning( + f" [Grid] 🚧 库存额度计算取数失败（{e}），严格模式按零额度处理（{symbol}）" + ) + return 0.0 + return max(0.0, cap - directional_exposure) + + def flatten_adverse_inventory(self, symbol: str, trend_dir: int) -> bool: + """趋势过滤的止血动作：当净持仓方向与趋势相反时，减掉逆势库存。 + + trend_dir: +1=上涨趋势, -1=下跌趋势。上涨却持空、或下跌却持多即为「逆势」。 + + 两种模式（trend_flatten_surgical 开关）： + - 关闭（历史行为）：``_emergency_close_all`` 全量拆网——撤全部挂单、市价全平、 + 删全部层级、重置重建冷却。线上实证 12.5 天拆网 145 次，每次都在摆动极值 + 实现亏损并支付 taker 费，然后冷却 900s 重建，与网格「持库存等回归」的 + 盈利机制正面对抗，是净值 -39% 的主出血口。 + - 开启（手术式）：只市价平掉「超出库存上限的逆势层级」，保留顺势挂单、 + 剩余层级与重建冷却状态，网格继续运转。 + + Returns: + True 表示确实平掉了（全部或部分）逆势库存。 + """ + if trend_dir == 0: + return False + position_size = self._get_symbol_position_size(symbol) + if abs(position_size) <= 0: + return False + adverse = (trend_dir > 0 and position_size < 0) or ( + trend_dir < 0 and position_size > 0 + ) + if not adverse: + return False + if self.trend_flatten_surgical: + return self._surgical_reduce_adverse(symbol, trend_dir, position_size) + self.logger.print_warning( + f" [Grid] 🩹 趋势({'涨' if trend_dir > 0 else '跌'})与持仓" + f"({'空' if position_size < 0 else '多'})相反，市价平掉逆势库存" + ) + self._emergency_close_all( + symbol, reason=f"趋势过滤：平逆势库存 (trend_dir={trend_dir})" + ) + return True + + def _surgical_reduce_adverse(self, symbol: str, trend_dir: int, position_size: float) -> bool: + """手术式减仓：逐层市价平掉超出库存上限的逆势层级，网格其余部分原样保留。 + + 与 ``_emergency_close_all`` 的区别：不撤顺势挂单、不删层级数据、不动 PnL tracker + 与 barrier monitor、不重置重建冷却——被平层级 reset 回 IDLE，趋势解除后由增量 + 同步自然重新挂单（重新挂单仍受库存上限约束）。 + + 削减目标：逆势名义额 ≤ max_position_notional_usd；上限未启用（=0）时保留一层 + （给均值回归留出最小仓位，避免整段趋势判定期间空转）。 + 按「入场价最差优先」平仓：多头库存平最高买入价、空头库存平最低卖出价。 + + Returns: + True 表示至少平掉了一个层级。 + """ + try: + current_price = self.order_manager.client.get_current_price(symbol) or 0.0 + except Exception as e: + self.logger.print_error(f" [Grid] 手术式减仓取价失败，跳过本轮: {e}") + return False + if current_price <= 0: + return False + cp = to_decimal(current_price) + + adverse_side = "SHORT" if position_size < 0 else "LONG" + levels = self.grid_levels.get(symbol) or [] + adverse_levels = [ + level + for level in levels + if level.side == adverse_side + and level.state in (GridLevelState.OPEN_FILLED, GridLevelState.CLOSE_PENDING) + and level.open_fill_price is not None + and level.open_fill_amount is not None + ] + + adverse_notional = sum( + (level.open_fill_amount * cp for level in adverse_levels), Decimal("0") + ) + cap = to_decimal(self.max_position_notional_usd) + if cap <= 0: + # 上限未启用：保留一层库存 + keep_one = max(adverse_levels, key=lambda lv: lv.open_fill_amount * cp, default=None) + cap = keep_one.open_fill_amount * cp if keep_one else Decimal("0") + if adverse_notional <= cap: + return False # 逆势库存在允许范围内：不动，让网格自己回归 + + # 入场价最差优先：多头平最高入场价，空头平最低入场价 + adverse_levels.sort( + key=lambda lv: lv.open_fill_price, + reverse=(adverse_side == "LONG"), + ) + + reduced_count = 0 + total_reduced_pnl = Decimal("0") + tracker = self.pnl_trackers.get(symbol) + if tracker is None: + tracker = GridPnLTracker() + self.pnl_trackers[symbol] = tracker + + for level in adverse_levels: + if adverse_notional <= cap: + break + # 先撤该层挂着的平仓单，避免市价平仓后 reduce_only 平仓单变孤儿 + if level.state == GridLevelState.CLOSE_PENDING and level.close_order_id: + self._cancel_order_with_retry(symbol, level.close_order_id) + + close_size = float(level.open_fill_amount) + try: + result = self.order_manager.client.close_position(symbol, size=close_size) + except Exception as e: + self.logger.print_error(f" [Grid] {level.id} 手术式减仓下单异常: {e}") + continue + if not result or str(result.get("status", "")).lower() != "ok": + self.logger.print_warning( + f" [Grid] {level.id} 手术式减仓失败: {result}" + ) + continue + + # 以当前价近似成交价记账（忽略滑点；与紧急平仓同一近似口径）， + # 复用 record_round_trip 保证 realized PnL / 手续费统计口径一致。 + level.close_fill_price = cp + level.close_fill_amount = level.open_fill_amount + level.close_fill_time = time.time() + pnl = tracker.record_round_trip(level) + total_reduced_pnl += pnl + adverse_notional -= level.open_fill_amount * cp + reduced_count += 1 + + self.logger.log_trade( + symbol=symbol, + action="GRID_FORCED_REDUCE", + amount=close_size, + price=float(cp), + order_id=str(level.close_order_id or ""), + status="FILLED", + pnl=float(pnl), + reason=f"趋势过滤手术式减仓 (trend_dir={trend_dir}, level={level.id})", + ) + # 强制平仓事件：亏损计入连亏熔断，净盈利不重置计数（见 forced 语义） + self._report_round_trip_close(symbol, float(pnl), forced=True) + level.reset() + + if reduced_count: + self.logger.print_warning( + f" [Grid] 🔪 手术式减仓完成: 平掉 {reduced_count} 个逆势层级，" + f"实现盈亏 {float(total_reduced_pnl):+.4f}，剩余逆势名义额 " + f"${float(adverse_notional):.2f} ≤ 目标 ${float(cap):.2f}" + ) + cloud = get_cloud_logger() + if cloud: + cloud.send_grid_event( + symbol=symbol, + action="surgical_reduce", + details={ + "trend_dir": trend_dir, + "reduced_levels": reduced_count, + "realized_pnl": float(total_reduced_pnl), + "remaining_adverse_notional": float(adverse_notional), + }, + level="warn", + ) + self._save_incremental_state(symbol) + return reduced_count > 0 + def _get_size_step(self, symbol: str) -> float: try: asset_info = self.order_manager.client.get_asset_info(symbol) or {} @@ -1074,6 +1452,48 @@ def _emergency_close_all(self, symbol: str, reason: str): level="warn", ) + # 把被市价平掉的持仓盈亏上报连亏熔断：否则该插件对网格里最大的那些止损/紧急平仓 + # 永远不可见（只数限价 TP 平仓的小赢小输，线上 global_losses 长期为 0 即铁证）。 + # 用平仓前 OPEN_FILLED 层的未实现盈亏近似市价平仓的已实现盈亏（忽略滑点/taker 费， + # 量级足够驱动连亏判定）。必须在删除层级数据之前计算。 + # forced=True：强平净盈利不得重置连亏计数（线上 145 次强平 0 次熔断的根因）。 + try: + tracker = self.pnl_trackers.get(symbol) + levels = self.grid_levels.get(symbol) + if tracker and levels: + cp = self.order_manager.client.get_current_price(symbol) + if cp and cp > 0: + closed_pnl = tracker.calculate_unrealized_pnl(levels, to_decimal(cp)) + if abs(closed_pnl) > 0: + # 归因落盘：紧急平仓的已实现盈亏 + 触发原因（barrier/趋势过滤/熔断） + self.logger.log_trade( + symbol=symbol, + action="GRID_EMERGENCY_CLOSE", + amount=float( + sum( + ( + lv.open_fill_amount + for lv in levels + if lv.state + in ( + GridLevelState.OPEN_FILLED, + GridLevelState.CLOSE_PENDING, + ) + and lv.open_fill_amount is not None + ), + Decimal("0"), + ) + ), + price=float(cp), + order_id="", + status="FILLED", + pnl=float(closed_pnl), + reason=reason, + ) + self._report_round_trip_close(symbol, float(closed_pnl), forced=True) + except Exception as e: + self.logger.print_warning(f" [Grid] 紧急平仓盈亏上报风控失败: {e}") + # 3. 清理层级数据 if symbol in self.grid_levels: del self.grid_levels[symbol] @@ -1100,6 +1520,55 @@ def _emergency_close_all(self, symbol: str, reason: str): except Exception as e: self.logger.print_warning(f" [Grid] 发送 Triple Barrier 触发通知失败: {e}") + def check_barrier(self, symbol: str) -> bool: + """Triple Barrier 兜底检查（独立方法，供每个网格周期开头无条件调用）。 + + 历史问题：barrier 仅在 ``sync_grid_incremental`` 的窄分支里检查，AI 频繁返回 + KEEP_GRID/ERROR 时根本走不到那里，导致 -5%/超时等兜底止损长期形同虚设。提取为 + 独立方法后由 ``grid_cycle`` 每轮先调用，不受 AI action 分支影响。触发即紧急平仓。 + + Returns: + True 表示已触发屏障并紧急平仓（本轮应跳过后续布单）。 + """ + levels = self.grid_levels.get(symbol) + monitor = self.barrier_monitors.get(symbol) + tracker = self.pnl_trackers.get(symbol) + if not levels or not monitor or not tracker: + return False + try: + current_price_raw = self.order_manager.client.get_current_price(symbol) + if not current_price_raw or current_price_raw <= 0: + return False + current_price_d = to_decimal(current_price_raw) + total_investment = sum((level.amount for level in levels), Decimal("0")) + net_pnl_pct = tracker.get_net_pnl_pct(levels, current_price_d, total_investment) + trigger = monitor.check( + current_price=current_price_d, + net_pnl_pct=net_pnl_pct, + current_time=time.time(), + ) + if trigger: + self.logger.print_warning(f" [Grid] Triple Barrier 触发: {trigger}") + cloud = get_cloud_logger() + if cloud: + cloud.send_risk_event( + symbol=symbol, + risk_type="triple_barrier_triggered", + details={ + "trigger_reason": trigger, + "net_pnl_pct": float(net_pnl_pct), + "current_price": current_price_raw, + "total_investment": float(total_investment), + "active_levels": len(levels), + }, + level="error", + ) + self._emergency_close_all(symbol, reason=trigger) + return True + except Exception as e: + self.logger.print_error(f" [Grid] Triple Barrier 检查异常: {e}") + return False + def sync_grid_incremental(self, symbol: str): """增量同步：只处理需要操作的层级，不全撤全建。""" levels = self.grid_levels.get(symbol) @@ -1107,41 +1576,10 @@ def sync_grid_incremental(self, symbol: str): self.logger.print_warning(f" [Grid] {symbol} 无层级数据，跳过增量同步") return - # Triple Barrier 屏障检查 - monitor = self.barrier_monitors.get(symbol) - tracker = self.pnl_trackers.get(symbol) - if monitor and tracker: - try: - current_price_raw = self.order_manager.client.get_current_price(symbol) - if current_price_raw and current_price_raw > 0: - current_price_d = to_decimal(current_price_raw) - total_investment = sum((level.amount for level in levels), Decimal("0")) - net_pnl_pct = tracker.get_net_pnl_pct(levels, current_price_d, total_investment) - trigger = monitor.check( - current_price=current_price_d, - net_pnl_pct=net_pnl_pct, - current_time=time.time(), - ) - if trigger: - self.logger.print_warning(f" [Grid] Triple Barrier 触发: {trigger}") - cloud = get_cloud_logger() - if cloud: - cloud.send_risk_event( - symbol=symbol, - risk_type="triple_barrier_triggered", - details={ - "trigger_reason": trigger, - "net_pnl_pct": float(net_pnl_pct), - "current_price": current_price_raw, - "total_investment": float(total_investment), - "active_levels": len(levels), - }, - level="error", - ) - self._emergency_close_all(symbol, reason=trigger) - return - except Exception as e: - self.logger.print_error(f" [Grid] Triple Barrier 检查异常: {e}") + # Triple Barrier 屏障检查（与 grid_cycle 顶层调用同一方法；此处保留以覆盖 + # 非 grid_cycle 路径直接调用 sync_grid 的情况，已平仓时幂等返回 False） + if self.check_barrier(symbol): + return exchange_orders = self._get_symbol_open_orders(symbol) exchange_oids = {o["oid"] for o in exchange_orders if "oid" in o} @@ -1230,6 +1668,14 @@ def _place_open_order(self, symbol: str, level: GridLevel): if not is_buy and price <= current_price: return + # 库存上限：净持仓达上限后不再往同方向加仓（防单边趋势逆势累积，本次最大亏损根因）。 + # 这是主要执行点——增量同步每轮在此重新挂开仓单，超限方向被持续拦截，库存自然收敛。 + if self._would_exceed_inventory_cap(symbol, is_buy_open=is_buy): + self.logger.print_warning( + f" [Grid] 🚧 {level.id} 库存达上限，跳过{'买' if is_buy else '卖'}开仓单（防逆势累积）" + ) + return + # 从 state 中获取 tp/sl 配置 grid_data = self.state["active_grids"].get(symbol, {}) config = grid_data.get("config", {}) @@ -1386,6 +1832,24 @@ def _place_close_order(self, symbol: str, level: GridLevel): }, ) + def _report_round_trip_close(self, symbol: str, pnl: float, forced: bool = False): + """把逐轮盈亏上报给账户级风控（连亏熔断），统一处理异常与签名兼容。 + + forced=True 表示风控强制平仓（紧急平仓/手术式减仓），连亏熔断据此区分 + 「主动止盈」与「被动强平」语义。失败不得影响网格主流程——风控记账出错 + 绝不能拖垮布单/同步，故吞掉异常仅记日志。 + """ + if self.on_round_trip_close is None: + return + try: + try: + self.on_round_trip_close(symbol, pnl, forced) + except TypeError: + # 兼容未升级的两参回调（如自定义接线/旧回测桩） + self.on_round_trip_close(symbol, pnl) + except Exception as e: + self.logger.print_warning(f" [Grid] round-trip 盈亏上报风控失败: {e}") + def _record_round_trip(self, symbol: str, level: GridLevel): """在层级完成一轮开平仓时调用，记录 PnL。""" tracker = self.pnl_trackers.get(symbol) @@ -1398,6 +1862,20 @@ def _record_round_trip(self, symbol: str, level: GridLevel): f" [Grid] {level.id} 完成第 {level.round_trip_count} 轮 | " f"PnL: {pnl:+.4f} | 累计: {level.cumulative_pnl:+.4f}" ) + # 每轮往返的已实现盈亏落盘（trades jsonl 的 pnl 字段历史上恒为 null， + # 12.5 天亏 39% 无从归因即源于此）——归因标签 GRID_TP=主动止盈往返。 + self.logger.log_trade( + symbol=symbol, + action="GRID_ROUND_TRIP", + amount=float(level.open_fill_amount or 0), + price=float(level.close_fill_price or 0), + order_id=str(level.close_order_id or ""), + status="FILLED", + pnl=float(pnl), + reason="GRID_TP", + ) + + self._report_round_trip_close(symbol, float(pnl), forced=False) # 记录轮回完成和 PnL 到云端 cloud = get_cloud_logger() diff --git a/src/utils/grid_math.py b/src/utils/grid_math.py index bc20ee2..758e22c 100644 --- a/src/utils/grid_math.py +++ b/src/utils/grid_math.py @@ -153,6 +153,9 @@ def calculate_grid_config( width_pct: float = 0.05, grid_num: int = 6, leverage: int = 10, + adaptive_sizing: bool = False, + min_order_notional_usd: float = 11.0, + min_grid_num: int = 3, ) -> dict[str, Any]: """ 针对 Hyperliquid 保证金占用逻辑进行强力修正。 @@ -197,13 +200,45 @@ def calculate_grid_config( # 单格金额 amount_per_grid = total_notional_cap / d_grid_num - # 强制兜底：如果算出来太大，强制压低到 25.5 USD - if amount_per_grid > Decimal("30"): - amount_per_grid = Decimal("25.5") - - # Hyperliquid 最小限制 - if amount_per_grid < Decimal("15.5"): - amount_per_grid = Decimal("15.5") + if adaptive_sizing: + # 自适应仓位：单格金额与真实净值挂钩。 + # 历史行为的 $15.5 硬下限会在小账户上把总名义额抬到净值的十几倍 + # （线上 $7.71 账户被抬成 $124 名义敞口 ≈ 16 倍杠杆），保守系数 0.4 被完全反转。 + # 这里改为：单格不足最小名义额时【减少格数】而非抬高单格金额； + # 格数低于下限说明资金撑不起最小网格，直接拒绝布单。 + d_min_order = to_decimal(min_order_notional_usd) + if amount_per_grid < d_min_order: + if d_min_order <= 0: + d_min_order = Decimal("11") + reduced_num = int(total_notional_cap / d_min_order) + if reduced_num < max(2, int(min_grid_num)): + required_balance = ( + d_min_order * Decimal(str(min_grid_num)) / (d_leverage * conservative_safety) + ) + return { + "action": "INSUFFICIENT_CAPITAL", + "mode": mode, + "reason": ( + f"资金不足以支撑最小网格: 可用 ${float(d_balance):.2f} × 杠杆 {leverage} × " + f"安全系数 0.4 = 总额度 ${float(total_notional_cap):.2f}，" + f"按单格最小 ${float(d_min_order):.2f} 只够 {reduced_num} 格 " + f"(< 最少 {min_grid_num} 格)。需要余额 ≥ ${float(required_balance):.2f}" + ), + "required_balance": float(required_balance.quantize(Decimal("0.01"))), + } + grid_num = reduced_num + d_grid_num = Decimal(str(grid_num)) + amount_per_grid = total_notional_cap / d_grid_num + else: + # 历史行为（默认）：硬编码钳制单格金额。仅对 ≳$100 的账户成立， + # 小账户上下限会反噬保守性——新部署建议启用 grid_adaptive_sizing_enabled。 + # 强制兜底：如果算出来太大，强制压低到 25.5 USD + if amount_per_grid > Decimal("30"): + amount_per_grid = Decimal("25.5") + + # Hyperliquid 最小限制 + if amount_per_grid < Decimal("15.5"): + amount_per_grid = Decimal("15.5") # 3. 计算止盈止损 # 止盈：每格宽度的 80%，确保覆盖双边手续费（Hyperliquid 约 0.035% Maker） diff --git a/src/utils/logger.py b/src/utils/logger.py index d20b551..3913dbc 100644 --- a/src/utils/logger.py +++ b/src/utils/logger.py @@ -445,6 +445,7 @@ def log_trade( stop_loss_price: float = None, status: str = "FILLED", pnl: float = None, + reason: str = None, ): """ 记录交易日志 @@ -459,6 +460,8 @@ def log_trade( stop_loss_price: 止损价格 status: 订单状态 pnl: 盈亏（如果是平仓） + reason: 归因标签（如 GRID_TP / 趋势过滤手术式减仓 / Triple Barrier 文案）， + 用于事后按盈亏来源聚合分析 """ timestamp = datetime.now() trade_entry = { @@ -472,6 +475,7 @@ def log_trade( "stop_loss_price": stop_loss_price, "status": status, "pnl": pnl, + "reason": reason, } # 保存为 JSON 格式 @@ -496,6 +500,35 @@ def log_trade( stop_loss_price=float(stop_loss_price) if stop_loss_price else 0.0, ) + def log_equity_snapshot( + self, + equity: float, + available: float, + unrealized_pnl: float = 0.0, + position_notional: float = 0.0, + symbol: str = "", + ): + """记录净值快照到 logs/equity/equity_YYYYMMDD.jsonl（净值曲线观测）。 + + 历史缺陷：账户净值只能从熔断告警文案里反推（峰值 $X → 当前 $Y）， + 12.5 天亏 39% 没有一条结构化记录。每周期一行、每天一个文件， + 用 jq/pandas 即可直接画净值曲线。 + """ + timestamp = datetime.now() + entry = { + "timestamp": timestamp.isoformat(), + "equity": float(equity), + "available": float(available), + "unrealized_pnl": float(unrealized_pnl), + "position_notional": float(position_notional), + "symbol": symbol, + } + equity_dir = self.log_dir / "equity" + equity_dir.mkdir(parents=True, exist_ok=True) + filename = equity_dir / f"equity_{timestamp.strftime('%Y%m%d')}.jsonl" + with open(filename, "a", encoding="utf-8") as f: + f.write(json.dumps(entry, ensure_ascii=False, cls=CustomJSONEncoder) + "\n") + # 全局日志实例 _logger: TradingLogger | None = None diff --git a/tests/test_client_unified_balance.py b/tests/test_client_unified_balance.py new file mode 100644 index 0000000..be9ec44 --- /dev/null +++ b/tests/test_client_unified_balance.py @@ -0,0 +1,149 @@ +"""统一账户（unified account）余额兼容测试。 + +线上实测（测试网 2026-07-04）：新式统一账户 spot/perp 保证金合一，USDC 抵押在 +spot 视图（balances[].total，挂单占用在 hold），usdClassTransfer 被禁用。 +perp marginSummary 有两种误导形态： +1. 无持仓：accountValue 恒为 0 → $11 账户被判 $0，资金不足拒绝布单； +2. 有持仓：accountValue 仅等于被占用的抵押（实测 $11 账户开仓后只剩 $2.28 + == spot hold）→ 净值被低估约 80%，污染停机线/自适应仓位/净值快照。 +判定依据官方 userAbstraction 接口（"unifiedAccount"/"portfolioMargin"/"default"）， +结果缓存；判定失败退回启发式（perp 视图无资产才尝试 spot）。 +""" + +import unittest + +from src.trading.client import HyperliquidClient + + +def _make_client(responses): + """绕过网络初始化构造 client，注入固定的 API 响应。 + + responses: {func_name: 返回值或 Exception 实例} + """ + client = HyperliquidClient.__new__(HyperliquidClient) + client.address = "0xTEST" + calls = [] + + def fake_request(func_name, *args, **kwargs): + calls.append(func_name) + result = responses[func_name] + if isinstance(result, Exception): + raise result + return result + + client._request_with_fallback = fake_request + client._calls = calls + return client + + +def _perp_state(account_value, margin_used=0.0): + return { + "marginSummary": { + "accountValue": str(account_value), + "totalMarginUsed": str(margin_used), + "totalRawUsd": str(account_value), + }, + "withdrawable": str(account_value - margin_used), + } + + +class TestUnifiedBalanceFallback(unittest.TestCase): + def test_classic_account_no_spot_query(self): + # 经典账户 perp 有值：不触发 spot 回退（不多打一次 API） + client = _make_client({ + "user_state": _perp_state(100.0, 20.0), + "query_user_abstraction_state": "default", + }) + balance = client.get_balance() + self.assertEqual(balance["accountValue"], 100.0) + self.assertEqual(balance["available"], 80.0) + self.assertNotIn("spot_user_state", client._calls) + + def test_unified_account_falls_back_to_spot_usdc(self): + # 统一账户无持仓：perp 全零 → 读 spot USDC（total=抵押，hold=占用） + client = _make_client({ + "user_state": _perp_state(0.0), + "query_user_abstraction_state": "unifiedAccount", + "spot_user_state": { + "balances": [ + {"coin": "USDC", "total": "11.0", "hold": "2.0"}, + {"coin": "TZERO", "total": "0.0", "hold": "0.0"}, + ] + }, + }) + balance = client.get_balance() + self.assertEqual(balance["accountValue"], 11.0) + self.assertEqual(balance["totalMarginUsed"], 2.0) + self.assertEqual(balance["available"], 9.0) + + def test_unified_account_with_position_uses_spot_total(self): + # 关键回归（实测形态 2）：统一账户有持仓时 perp accountValue 只等于 + # 被占用的抵押（$2.28 > 0，旧启发式不会回退）→ 必须仍以 spot 为准 + client = _make_client({ + "user_state": _perp_state(2.282516, 1.16565), + "query_user_abstraction_state": "unifiedAccount", + "spot_user_state": { + "balances": [{"coin": "USDC", "total": "11.060748", "hold": "2.282516"}] + }, + }) + balance = client.get_balance() + self.assertAlmostEqual(balance["accountValue"], 11.060748) + self.assertAlmostEqual(balance["totalMarginUsed"], 2.282516) + self.assertAlmostEqual(balance["available"], 11.060748 - 2.282516) + + def test_abstraction_mode_cached(self): + # 账户模式查询结果缓存：连续两次 get_balance 只查一次 userAbstraction + client = _make_client({ + "user_state": _perp_state(100.0), + "query_user_abstraction_state": "default", + }) + client.get_balance() + client.get_balance() + self.assertEqual(client._calls.count("query_user_abstraction_state"), 1) + + def test_abstraction_query_failure_falls_back_to_heuristic(self): + # 判定失败 + perp 有值：维持经典行为，不查 spot（启发式不触发） + client = _make_client({ + "user_state": _perp_state(100.0, 20.0), + "query_user_abstraction_state": RuntimeError("模拟判定接口失败"), + }) + balance = client.get_balance() + self.assertEqual(balance["accountValue"], 100.0) + self.assertNotIn("spot_user_state", client._calls) + + def test_abstraction_query_failure_zero_balance_still_falls_back(self): + # 判定失败 + perp 全零：启发式兜底，仍回退 spot（形态 1 不回退会误判 $0） + client = _make_client({ + "user_state": _perp_state(0.0), + "query_user_abstraction_state": RuntimeError("模拟判定接口失败"), + "spot_user_state": { + "balances": [{"coin": "USDC", "total": "11.0", "hold": "0.0"}] + }, + }) + balance = client.get_balance() + self.assertEqual(balance["accountValue"], 11.0) + + def test_unified_fallback_no_usdc(self): + # spot 里没有 USDC：维持零余额，不异常 + client = _make_client({ + "user_state": _perp_state(0.0), + "query_user_abstraction_state": "unifiedAccount", + "spot_user_state": {"balances": [{"coin": "TZERO", "total": "5", "hold": "0"}]}, + }) + balance = client.get_balance() + self.assertEqual(balance["accountValue"], 0.0) + + def test_spot_query_failure_keeps_perp_view(self): + # spot 查询失败：不因兼容路径引入新故障，维持 perp 视图结果 + client = _make_client({ + "user_state": _perp_state(0.0), + "query_user_abstraction_state": "unifiedAccount", + "spot_user_state": RuntimeError("模拟 spot 查询失败"), + }) + balance = client.get_balance() + self.assertIsNotNone(balance) + self.assertEqual(balance["accountValue"], 0.0) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/test_grid_loss_fixes.py b/tests/test_grid_loss_fixes.py new file mode 100644 index 0000000..900b6c6 --- /dev/null +++ b/tests/test_grid_loss_fixes.py @@ -0,0 +1,276 @@ +"""网格趋势亏损根因修复测试。 + +覆盖四项修复： +1. 库存硬上限（``_would_exceed_inventory_cap`` + ``_place_open_order`` 拦截） +2. 趋势过滤平逆势库存（``flatten_adverse_inventory``） +3. Triple Barrier 每轮必查（``check_barrier`` 独立方法触发紧急平仓） +4. 市价/紧急平仓上报连亏熔断（``_emergency_close_all`` → ``on_round_trip_close``） +5. 强趋势识别（``QuantFlowBot._detect_strong_trend`` 票数逻辑） +""" + +import tempfile +import time +import types +import unittest +from decimal import Decimal +from pathlib import Path + +from src.trading.client import HyperliquidClient +from src.trading.grid_barrier import GridBarrierMonitor, TripleBarrierConfig +from src.trading.grid_manager import GridManager +from src.trading.grid_pnl import GridPnLTracker +from src.utils.grid_math import GridLevel, GridLevelState + + +class DummyLogger: + def print_section(self, *a, **k): + pass + + def print_info(self, *a, **k): + pass + + def print_warning(self, *a, **k): + pass + + def print_error(self, *a, **k): + pass + + def print_header(self, *a, **k): + pass + + def log_trade(self, *a, **k): + pass + + def log_decision(self, *a, **k): + pass + + +class _Info: + def user_fills(self, addr): + return [] + + +class FakeClient: + def __init__(self, price=1800.0): + self.price = price + self.open_orders = [] + self.closed = [] + self.address = "0xTEST" + self.info = _Info() + + def get_current_price(self, symbol): + return self.price + + def get_open_orders(self, include_trigger=False): + return list(self.open_orders) + + def cancel_order(self, symbol, oid): + self.open_orders = [o for o in self.open_orders if o.get("oid") != oid] + return {"status": "ok"} + + def close_position(self, symbol): + self.closed.append(symbol) + return {"status": "ok"} + + def format_price(self, symbol, price): + return round(float(price), 1) + + def get_asset_info(self, symbol): + return {"szDecimals": 3} + + check_order_success = staticmethod(HyperliquidClient.check_order_success) + + +class FakeOM: + def __init__(self, client, positions=None): + self.client = client + self.positions = positions or [] + self.long_calls = [] + self.short_calls = [] + + def get_current_positions(self): + return list(self.positions) + + def execute_long_limit(self, symbol, amount, price, **kwargs): + self.long_calls.append((symbol, amount, price)) + return {"success": True, "limit_order": {"response": {"data": {"statuses": [{"resting": {"oid": 1}}]}}}} + + def execute_short_limit(self, symbol, amount, price, **kwargs): + self.short_calls.append((symbol, amount, price)) + return {"success": True, "limit_order": {"response": {"data": {"statuses": [{"resting": {"oid": 2}}]}}}} + + +def _make_gm(positions=None, price=1800.0, cap=0.0, on_close=None): + tmp = tempfile.TemporaryDirectory() + state_file = str(Path(tmp.name) / "grid_state.json") + client = FakeClient(price=price) + om = FakeOM(client, positions=positions) + gm = GridManager( + om, + DummyLogger(), + state_file=state_file, + max_position_notional_usd=cap, + on_round_trip_close=on_close, + ) + gm._tmp = tmp # 防止 GC 删除临时目录 + return gm, om, client + + +class TestInventoryCap(unittest.TestCase): + """库存硬上限守卫""" + + def test_disabled_when_cap_zero(self): + gm, _, _ = _make_gm(positions=[{"coin": "ETH", "szi": -1.0}], price=1800, cap=0.0) + # cap=0 关闭：任何方向都不拦 + self.assertFalse(gm._would_exceed_inventory_cap("ETH", is_buy_open=True)) + self.assertFalse(gm._would_exceed_inventory_cap("ETH", is_buy_open=False)) + + def test_no_block_when_flat(self): + gm, _, _ = _make_gm(positions=[], price=1800, cap=30.0) + self.assertFalse(gm._would_exceed_inventory_cap("ETH", is_buy_open=False)) + + def test_blocks_same_direction_when_over_cap(self): + # 净空头 0.02 * 1800 = $36 名义额 > cap $30 + gm, _, _ = _make_gm(positions=[{"coin": "ETH", "szi": -0.02}], price=1800, cap=30.0) + # 卖开仓=加空 → 同向加仓，拦截 + self.assertTrue(gm._would_exceed_inventory_cap("ETH", is_buy_open=False)) + # 买开仓=减空 → 放行 + self.assertFalse(gm._would_exceed_inventory_cap("ETH", is_buy_open=True)) + + def test_allows_when_under_cap(self): + # 净空头 0.01 * 1800 = $18 < cap $30 + gm, _, _ = _make_gm(positions=[{"coin": "ETH", "szi": -0.01}], price=1800, cap=30.0) + self.assertFalse(gm._would_exceed_inventory_cap("ETH", is_buy_open=False)) + + def test_blocks_long_over_cap(self): + # 净多头超限：买开仓加多被拦，卖开仓减多放行 + gm, _, _ = _make_gm(positions=[{"coin": "ETH", "szi": 0.05}], price=1800, cap=30.0) + self.assertTrue(gm._would_exceed_inventory_cap("ETH", is_buy_open=True)) + self.assertFalse(gm._would_exceed_inventory_cap("ETH", is_buy_open=False)) + + def test_place_open_order_skips_when_over_cap(self): + gm, om, _ = _make_gm(positions=[{"coin": "ETH", "szi": -0.02}], price=1800, cap=30.0) + # 卖开仓层（SHORT），价格高于市价以通过价格守卫 + level = GridLevel( + id="L0", price=Decimal("1850"), amount=Decimal("20"), + side="SHORT", state=GridLevelState.IDLE, + ) + gm.grid_levels["ETH"] = [level] + gm.state["active_grids"]["ETH"] = {"config": {"parameters": {"tp_ratio": 0.005, "sl_ratio": 0.01}}} + gm._place_open_order("ETH", level) + # 库存超限 → 不应挂卖开仓单，层级仍为 IDLE + self.assertEqual(len(om.short_calls), 0) + self.assertEqual(level.state, GridLevelState.IDLE) + + +class TestFlattenAdverse(unittest.TestCase): + """趋势过滤：平逆势库存""" + + def test_flattens_short_in_uptrend(self): + gm, _, client = _make_gm(positions=[{"coin": "ETH", "szi": -0.02}], price=1900) + # 给一个 OPEN_FILLED 空头层，让 _emergency_close_all 有数据 + gm.grid_levels["ETH"] = [_filled_short_level()] + gm.pnl_trackers["ETH"] = GridPnLTracker() + flattened = gm.flatten_adverse_inventory("ETH", trend_dir=1) # 上涨 + 持空 = 逆势 + self.assertTrue(flattened) + self.assertIn("ETH", client.closed) # 市价平仓被调用 + + def test_no_flatten_when_aligned(self): + gm, _, client = _make_gm(positions=[{"coin": "ETH", "szi": -0.02}], price=1700) + # 下跌 + 持空 = 顺势，不平 + self.assertFalse(gm.flatten_adverse_inventory("ETH", trend_dir=-1)) + self.assertEqual(client.closed, []) + + def test_no_flatten_when_flat(self): + gm, _, client = _make_gm(positions=[], price=1800) + self.assertFalse(gm.flatten_adverse_inventory("ETH", trend_dir=1)) + self.assertEqual(client.closed, []) + + +class TestCheckBarrier(unittest.TestCase): + """Triple Barrier 每轮必查 + 紧急平仓上报连亏熔断""" + + def test_barrier_triggers_and_reports_loss(self): + reported = [] + gm, _, client = _make_gm( + positions=[{"coin": "ETH", "szi": -0.02}], + price=1900, + on_close=lambda sym, pnl: reported.append((sym, pnl)), + ) + # 空头 @1800，现价 1900 → 浮亏；总投入 $36，亏 ~$2 → -5.6% <= -5% 触发 STOP_LOSS + gm.grid_levels["ETH"] = [_filled_short_level()] + gm.pnl_trackers["ETH"] = GridPnLTracker() + gm.barrier_monitors["ETH"] = GridBarrierMonitor( + config=TripleBarrierConfig(stop_loss_pct=Decimal("0.05")), + start_time=time.time(), + ) + triggered = gm.check_barrier("ETH") + self.assertTrue(triggered) + self.assertIn("ETH", client.closed) + # 紧急平仓的亏损应上报连亏熔断 + self.assertEqual(len(reported), 1) + self.assertLess(reported[0][1], 0) # 上报的是负盈亏 + + def test_barrier_no_trigger_when_safe(self): + gm, _, client = _make_gm(positions=[{"coin": "ETH", "szi": -0.02}], price=1801) + gm.grid_levels["ETH"] = [_filled_short_level()] # 空头 @1800，现价 1801 几乎无亏 + gm.pnl_trackers["ETH"] = GridPnLTracker() + gm.barrier_monitors["ETH"] = GridBarrierMonitor( + config=TripleBarrierConfig(stop_loss_pct=Decimal("0.05"), take_profit_pct=None, time_limit_seconds=None), + start_time=time.time(), + ) + self.assertFalse(gm.check_barrier("ETH")) + self.assertEqual(client.closed, []) + + def test_barrier_noop_without_levels(self): + gm, _, _ = _make_gm(positions=[], price=1800) + self.assertFalse(gm.check_barrier("ETH")) + + +class TestDetectStrongTrend(unittest.TestCase): + """强趋势识别票数逻辑（QuantFlowBot._detect_strong_trend）""" + + def _detect(self, trends, votes=3): + from main import QuantFlowBot + + stub = types.SimpleNamespace( + config=types.SimpleNamespace( + grid_trend_filter_min_votes=votes, + # None = 全部周期参与计票（历史行为） + grid_trend_filter_timeframes=None, + ) + ) + return QuantFlowBot._detect_strong_trend(stub, trends) + + def test_strong_up(self): + trends = {"日线": "强势上涨", "4小时": "强势上涨", "1小时": "强势上涨", "15分钟": "震荡"} + self.assertEqual(self._detect(trends), 1) + + def test_strong_down(self): + trends = {"日线": "强势下跌", "4小时": "强势下跌", "1小时": "强势下跌", "15分钟": "下跌转强"} + self.assertEqual(self._detect(trends), -1) + + def test_no_trend_when_choppy(self): + trends = {"日线": "震荡", "4小时": "上涨转弱", "1小时": "强势上涨", "15分钟": "强势下跌"} + self.assertEqual(self._detect(trends), 0) + + def test_below_vote_threshold(self): + trends = {"日线": "强势上涨", "4小时": "强势上涨", "1小时": "震荡"} + self.assertEqual(self._detect(trends, votes=3), 0) + + def test_empty(self): + self.assertEqual(self._detect({}), 0) + + +def _filled_short_level(): + level = GridLevel( + id="L0", price=Decimal("1850"), amount=Decimal("36"), + side="SHORT", state=GridLevelState.OPEN_FILLED, + ) + level.open_fill_price = Decimal("1800") + level.open_fill_amount = Decimal("0.02") + return level + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/test_grid_loss_refactor.py b/tests/test_grid_loss_refactor.py new file mode 100644 index 0000000..70524fd --- /dev/null +++ b/tests/test_grid_loss_refactor.py @@ -0,0 +1,617 @@ +"""网格防护体系重构测试（基于 12.5 天线上实证的缺陷修复）。 + +覆盖七项改造： +1. 趋势计票周期白名单（``detect_strong_trend`` 排除 1m 等噪声周期） +2. 趋势迟滞确认（``TrendConfirmTracker``：暂停先行、平仓靠后、翻转清零） +3. 自适应仓位（``calculate_grid_config``：减格数而非抬单格金额、INSUFFICIENT_CAPITAL、 + 历史路径钳制行为保持不变） +4. 连亏熔断 forced 语义（强平净盈利不重置计数——线上 145 次强平 0 次熔断的根因） +5. 库存上限严格模式（计入同向挂单、取价失败 fail-closed；宽松模式行为不变） +6. 手术式减仓（只平超限逆势层级、保留网格状态、forced=True 上报） +7. KEEP_GRID 对账（撤无主残单、放过 reduce_only 与已知订单） +8. 回撤保护绝对额下限（min_drawdown_usd 防小账户噪声级触发） +""" + +import tempfile +import unittest +from unittest import mock +from datetime import datetime +from decimal import Decimal +from pathlib import Path + +from src.data.indicators import TrendConfirmTracker, detect_strong_trend +from src.plugins.protections.base import ProtectionContext +from src.plugins.protections.consecutive_loss import ConsecutiveLossProtection +from src.plugins.protections.drawdown import MaxDrawdownProtection +from src.trading.client import HyperliquidClient +from src.trading.grid_manager import GridManager +from src.utils.grid_math import GridLevel, GridLevelState, calculate_grid_config + + +class DummyLogger: + def __init__(self): + self.trades = [] + + def print_section(self, *a, **k): + pass + + def print_info(self, *a, **k): + pass + + def print_warning(self, *a, **k): + pass + + def print_error(self, *a, **k): + pass + + def print_header(self, *a, **k): + pass + + def log_trade(self, *a, **k): + self.trades.append(k) + + def log_decision(self, *a, **k): + pass + + +class _Info: + def user_fills(self, addr): + return [] + + +class FakeClient: + """支持部分平仓与可注入取价异常的假客户端。""" + + def __init__(self, price=1800.0): + self.price = price + self.open_orders = [] + self.closed = [] # [(symbol, size|None)] + self.address = "0xTEST" + self.info = _Info() + self.price_error = False + + def get_current_price(self, symbol): + if self.price_error: + raise RuntimeError("模拟取价失败") + return self.price + + def get_open_orders(self, include_trigger=False): + return list(self.open_orders) + + def cancel_order(self, symbol, oid): + self.open_orders = [o for o in self.open_orders if o.get("oid") != oid] + return {"status": "ok"} + + def close_position(self, symbol, size=None): + self.closed.append((symbol, size)) + return {"status": "ok"} + + def format_price(self, symbol, price): + return round(float(price), 1) + + def get_asset_info(self, symbol): + return {"szDecimals": 3} + + check_order_success = staticmethod(HyperliquidClient.check_order_success) + + +class FakeOM: + def __init__(self, client, positions=None): + self.client = client + self.positions = positions or [] + + def get_current_positions(self): + return list(self.positions) + + +def _make_gm( + positions=None, + price=1800.0, + cap=0.0, + on_close=None, + surgical=False, + cap_strict=False, + reconcile=False, +): + tmp = tempfile.TemporaryDirectory() + state_file = str(Path(tmp.name) / "grid_state.json") + client = FakeClient(price=price) + om = FakeOM(client, positions=positions) + logger = DummyLogger() + gm = GridManager( + om, + logger, + state_file=state_file, + max_position_notional_usd=cap, + on_round_trip_close=on_close, + trend_flatten_surgical=surgical, + inventory_cap_strict=cap_strict, + keep_grid_reconcile=reconcile, + ) + gm._tmp = tmp # 防止 GC 删除临时目录 + return gm, om, client, logger + + +def _filled_level(level_id, side, entry, amount_base, state=GridLevelState.OPEN_FILLED): + level = GridLevel( + id=level_id, + price=Decimal(str(entry)), + amount=Decimal(str(float(entry) * float(amount_base))), + side=side, + state=state, + ) + level.open_fill_price = Decimal(str(entry)) + level.open_fill_amount = Decimal(str(amount_base)) + return level + + +class TestDetectStrongTrendWhitelist(unittest.TestCase): + """趋势计票周期白名单（排除噪声周期）""" + + TRENDS = { + "日线": "震荡", + "4小时": "震荡", + "1小时": "强势上涨", + "15分钟": "强势上涨", + "1分钟": "强势上涨", + } + + def test_none_whitelist_keeps_history_behavior(self): + # 全周期参与：1h/15m/1m 三票 → 触发（历史行为） + self.assertEqual(detect_strong_trend(self.TRENDS, min_votes=3), 1) + + def test_exclude_1m_blocks_noise_trigger(self): + # 排除 1m 后只剩两票 → 不触发 + result = detect_strong_trend( + self.TRENDS, min_votes=3, allowed_timeframes=["15m", "1h", "4h", "1d"] + ) + self.assertEqual(result, 0) + + def test_chinese_keys_accepted(self): + result = detect_strong_trend( + self.TRENDS, min_votes=2, allowed_timeframes=["1小时", "15分钟"] + ) + self.assertEqual(result, 1) + + def test_empty_trends(self): + self.assertEqual(detect_strong_trend({}, min_votes=3), 0) + self.assertEqual(detect_strong_trend(None, min_votes=3), 0) + + +class TestTrendConfirmTracker(unittest.TestCase): + """趋势迟滞确认：暂停先行、平仓靠后、翻转清零""" + + def test_default_immediate(self): + # 默认 1/1 = 历史行为：首个周期即生效且允许平仓 + tracker = TrendConfirmTracker() + self.assertEqual(tracker.update(1), (1, True)) + + def test_confirm_cycles_delays_action(self): + tracker = TrendConfirmTracker(confirm_cycles=2, flatten_min_cycles=3) + self.assertEqual(tracker.update(1), (0, False)) # 第 1 次：未确认 + self.assertEqual(tracker.update(1), (1, False)) # 第 2 次：生效但不允许平仓 + self.assertEqual(tracker.update(1), (1, True)) # 第 3 次：允许平仓 + + def test_direction_flip_resets(self): + tracker = TrendConfirmTracker(confirm_cycles=2, flatten_min_cycles=2) + tracker.update(1) + tracker.update(1) + self.assertEqual(tracker.update(-1), (0, False)) # 翻转：计数从 1 重来 + self.assertEqual(tracker.update(-1), (-1, True)) + + def test_zero_resets(self): + tracker = TrendConfirmTracker(confirm_cycles=2, flatten_min_cycles=2) + tracker.update(1) + tracker.update(0) + self.assertEqual(tracker.update(1), (0, False)) # 中断后重新累计 + + def test_flatten_min_not_below_confirm(self): + tracker = TrendConfirmTracker(confirm_cycles=3, flatten_min_cycles=1) + self.assertEqual(tracker.flatten_min_cycles, 3) + + +class TestAdaptiveSizing(unittest.TestCase): + """自适应仓位：减格数而非抬单格金额""" + + def test_legacy_path_unchanged(self): + # 历史路径：$7.71 账户单格被硬抬到 $15.5（缺陷行为，必须保持以兼容线上配置） + cfg = calculate_grid_config(1800.0, 7.71, grid_num=8, leverage=10) + self.assertEqual(cfg["action"], "UPDATE_GRID") + self.assertEqual(cfg["amount_per_grid"], 15.5) + + def test_adaptive_reduces_grid_num(self): + # $50 × 10 × 0.4 = $200 额度，8 格单格 $25 ≥ $11 → 格数不变 + cfg = calculate_grid_config(1800.0, 50.0, grid_num=8, leverage=10, adaptive_sizing=True) + self.assertEqual(cfg["grid_num"], 8) + self.assertAlmostEqual(cfg["amount_per_grid"], 25.0, places=1) + # $20 × 10 × 0.4 = $80 额度，8 格单格 $10 < $11 → 减到 7 格（$80/$11） + cfg = calculate_grid_config(1800.0, 20.0, grid_num=8, leverage=10, adaptive_sizing=True) + self.assertEqual(cfg["grid_num"], 7) + self.assertGreaterEqual(cfg["amount_per_grid"], 11.0) + + def test_adaptive_insufficient_capital(self): + # $7.71 × 10 × 0.4 = $30.8 额度，只够 2 格 < 最少 3 格 → 拒绝布单 + cfg = calculate_grid_config(1800.0, 7.71, grid_num=8, leverage=10, adaptive_sizing=True) + self.assertEqual(cfg["action"], "INSUFFICIENT_CAPITAL") + self.assertIn("required_balance", cfg) + self.assertGreater(cfg["required_balance"], 7.71) + + def test_adaptive_respects_leverage(self): + # 同样余额、杠杆 5：$20 × 5 × 0.4 = $40 → 只够 3 格 + cfg = calculate_grid_config(1800.0, 20.0, grid_num=8, leverage=5, adaptive_sizing=True) + self.assertEqual(cfg["action"], "UPDATE_GRID") + self.assertEqual(cfg["grid_num"], 3) + + def test_adaptive_total_notional_bounded(self): + # 任意输出必须满足 格数×单格 ≤ 余额×杠杆×0.4（历史缺陷：$7.71 被放大成 $124） + for balance in (15.0, 20.0, 50.0, 100.0, 500.0): + cfg = calculate_grid_config( + 1800.0, balance, grid_num=8, leverage=10, adaptive_sizing=True + ) + if cfg["action"] != "UPDATE_GRID": + continue + total = cfg["grid_num"] * cfg["amount_per_grid"] + self.assertLessEqual(total, balance * 10 * 0.4 + 0.01, f"balance={balance}") + + +class TestConsecutiveLossForced(unittest.TestCase): + """连亏熔断 forced 语义""" + + def _make(self, forced_no_reset): + tmp = tempfile.TemporaryDirectory() + plugin = ConsecutiveLossProtection( + config={ + "max_consecutive_losses": 3, + "forced_close_no_reset": forced_no_reset, + }, + data_dir=Path(tmp.name), + ) + plugin._tmp = tmp + return plugin + + def test_default_behavior_unchanged(self): + # 开关关闭：forced 盈利仍重置（历史行为） + plugin = self._make(forced_no_reset=False) + plugin.on_trade_close("ETH", -1.0) + plugin.on_trade_close("ETH", -1.0) + plugin.on_trade_close("ETH", 0.5, forced=True) + self.assertEqual(plugin._global_losses, 0) + + def test_forced_profit_does_not_reset(self): + # 开关开启：强平净盈利不重置也不递增（线上 145 次强平 0 次熔断的根因） + plugin = self._make(forced_no_reset=True) + plugin.on_trade_close("ETH", -1.0) + plugin.on_trade_close("ETH", -1.0) + plugin.on_trade_close("ETH", 0.5, forced=True) + self.assertEqual(plugin._global_losses, 2) + + def test_forced_loss_still_counts(self): + plugin = self._make(forced_no_reset=True) + plugin.on_trade_close("ETH", -1.0, forced=True) + plugin.on_trade_close("ETH", -1.0, forced=True) + self.assertEqual(plugin._global_losses, 2) + + def test_voluntary_profit_still_resets(self): + plugin = self._make(forced_no_reset=True) + plugin.on_trade_close("ETH", -1.0) + plugin.on_trade_close("ETH", 0.5) # 主动止盈 + self.assertEqual(plugin._global_losses, 0) + + +class TestInventoryCapStrict(unittest.TestCase): + """库存上限严格模式：计入同向挂单 + fail-closed""" + + def test_loose_mode_ignores_resting_orders(self): + # 宽松模式（历史行为）：持仓 $18 < $40 上限 → 放行，无视挂单 + gm, om, client, _ = _make_gm( + positions=[{"coin": "ETH", "szi": "0.01"}], price=1800.0, cap=40.0 + ) + client.open_orders = [ + {"oid": 1, "coin": "ETH", "side": "B", "limitPx": "1790", "sz": "0.02"}, + ] + self.assertFalse(gm._would_exceed_inventory_cap("ETH", is_buy_open=True)) + + def test_strict_counts_resting_same_direction(self): + # 严格模式：持仓 $18 + 挂单 $35.8 = $53.8 ≥ $40 → 拦截买开仓 + gm, om, client, _ = _make_gm( + positions=[{"coin": "ETH", "szi": "0.01"}], price=1800.0, cap=40.0, cap_strict=True + ) + client.open_orders = [ + {"oid": 1, "coin": "ETH", "side": "B", "limitPx": "1790", "sz": "0.02"}, + ] + self.assertTrue(gm._would_exceed_inventory_cap("ETH", is_buy_open=True)) + # 反方向（卖开仓）：持仓抵扣后敞口为负 → 放行 + self.assertFalse(gm._would_exceed_inventory_cap("ETH", is_buy_open=False)) + + def test_strict_skips_reduce_only_orders(self): + gm, om, client, _ = _make_gm( + positions=[{"coin": "ETH", "szi": "0.01"}], price=1800.0, cap=40.0, cap_strict=True + ) + client.open_orders = [ + {"oid": 1, "coin": "ETH", "side": "B", "limitPx": "1790", "sz": "0.02", + "reduceOnly": True}, + ] + # reduce_only 不计入 → 敞口只有持仓 $18 < $40 → 放行 + self.assertFalse(gm._would_exceed_inventory_cap("ETH", is_buy_open=True)) + + def test_strict_fail_closed_on_price_error(self): + gm, om, client, _ = _make_gm( + positions=[{"coin": "ETH", "szi": "0.01"}], price=1800.0, cap=40.0, cap_strict=True + ) + client.price_error = True + self.assertTrue(gm._would_exceed_inventory_cap("ETH", is_buy_open=True)) + + def test_loose_fail_open_on_price_error(self): + # 宽松模式保持历史行为：取价失败放行 + gm, om, client, _ = _make_gm( + positions=[{"coin": "ETH", "szi": "0.01"}], price=1800.0, cap=40.0 + ) + client.price_error = True + self.assertFalse(gm._would_exceed_inventory_cap("ETH", is_buy_open=True)) + + def test_strict_zero_position_counts_pending(self): + # 严格模式空仓：纯挂单敞口 $54 ≥ $40 → 拦截同向新增 + gm, om, client, _ = _make_gm(positions=[], price=1800.0, cap=40.0, cap_strict=True) + client.open_orders = [ + {"oid": 1, "coin": "ETH", "side": "B", "limitPx": "1800", "sz": "0.03"}, + ] + self.assertTrue(gm._would_exceed_inventory_cap("ETH", is_buy_open=True)) + self.assertFalse(gm._would_exceed_inventory_cap("ETH", is_buy_open=False)) + + +class TestSurgicalReduce(unittest.TestCase): + """手术式减仓：只平超限逆势层级，网格其余部分保留""" + + def _setup_long_inventory(self, cap, price=1700.0): + """三个多头层级（下跌趋势里的逆势库存）：入场 1800/1780/1760，各 0.01 ETH。""" + reports = [] + + def on_close(symbol, pnl, forced=False): + reports.append((symbol, pnl, forced)) + + gm, om, client, logger = _make_gm( + positions=[{"coin": "ETH", "szi": "0.03"}], + price=price, + cap=cap, + on_close=on_close, + surgical=True, + ) + levels = [ + _filled_level("L0", "LONG", 1800, 0.01), + _filled_level("L1", "LONG", 1780, 0.01), + _filled_level("L2", "LONG", 1760, 0.01), + # 一个顺势空头层级，必须原样保留 + _filled_level("L3", "SHORT", 1850, 0.01), + ] + gm.grid_levels["ETH"] = levels + gm.state["active_grids"]["ETH"] = {"config": {}, "buy_orders": [], "sell_orders": []} + return gm, client, levels, reports, logger + + def test_reduces_only_excess_worst_first(self): + # 库存 3 × 0.01 × $1700 = $51，上限 $40 → 只需平 1 层（最差入场 1800） + gm, client, levels, reports, _ = self._setup_long_inventory(cap=40.0) + result = gm.flatten_adverse_inventory("ETH", trend_dir=-1) + self.assertTrue(result) + self.assertEqual(len(client.closed), 1) + self.assertEqual(client.closed[0], ("ETH", 0.01)) + # 最差入场（1800）被平，其余保留 + self.assertEqual(levels[0].state, GridLevelState.IDLE) # reset 后 + self.assertEqual(levels[1].state, GridLevelState.OPEN_FILLED) + self.assertEqual(levels[2].state, GridLevelState.OPEN_FILLED) + self.assertEqual(levels[3].state, GridLevelState.OPEN_FILLED) # 顺势层不动 + # forced=True 上报，且亏损为负（1800 入场 1700 平出） + self.assertEqual(len(reports), 1) + self.assertTrue(reports[0][2]) + self.assertLess(reports[0][1], 0) + # 网格状态未被删除（对比全量拆网会 del grid_levels） + self.assertIn("ETH", gm.grid_levels) + + def test_within_cap_no_action(self): + # 上限 $60 > 库存 $51 → 不动 + gm, client, levels, reports, _ = self._setup_long_inventory(cap=60.0) + result = gm.flatten_adverse_inventory("ETH", trend_dir=-1) + self.assertFalse(result) + self.assertEqual(client.closed, []) + self.assertEqual(reports, []) + + def test_cap_disabled_keeps_one_level(self): + # 上限未启用（=0）：保留一层，平掉两层 + gm, client, levels, reports, _ = self._setup_long_inventory(cap=0.0) + result = gm.flatten_adverse_inventory("ETH", trend_dir=-1) + self.assertTrue(result) + self.assertEqual(len(client.closed), 2) + self.assertEqual(levels[2].state, GridLevelState.OPEN_FILLED) # 最优入场保留 + + def test_favorable_position_untouched(self): + # 趋势向上 + 持多 = 顺势 → 不动 + gm, client, levels, reports, _ = self._setup_long_inventory(cap=40.0) + result = gm.flatten_adverse_inventory("ETH", trend_dir=1) + self.assertFalse(result) + self.assertEqual(client.closed, []) + + def test_cancels_close_pending_order_first(self): + # CLOSE_PENDING 层级：先撤平仓挂单再市价平，避免孤儿 reduce_only 单 + gm, client, levels, reports, _ = self._setup_long_inventory(cap=40.0) + levels[0].state = GridLevelState.CLOSE_PENDING + levels[0].close_order_id = 777 + client.open_orders = [{"oid": 777, "coin": "ETH", "side": "A", "limitPx": "1815"}] + gm.flatten_adverse_inventory("ETH", trend_dir=-1) + self.assertEqual(client.open_orders, []) # 777 已撤 + + def test_legacy_full_teardown_when_disabled(self): + # 开关关闭：沿用全量拆网（close_position 无 size + 删层级） + reports = [] + + def on_close(symbol, pnl, forced=False): + reports.append((symbol, pnl, forced)) + + gm, om, client, _ = _make_gm( + positions=[{"coin": "ETH", "szi": "0.03"}], + price=1700.0, + cap=40.0, + on_close=on_close, + surgical=False, + ) + gm.grid_levels["ETH"] = [_filled_level("L0", "LONG", 1800, 0.01)] + gm.pnl_trackers["ETH"] = gm.pnl_trackers.get("ETH") or __import__( + "src.trading.grid_pnl", fromlist=["GridPnLTracker"] + ).GridPnLTracker() + result = gm.flatten_adverse_inventory("ETH", trend_dir=-1) + self.assertTrue(result) + self.assertEqual(client.closed, [("ETH", None)]) # 全平 + self.assertNotIn("ETH", gm.grid_levels) # 层级被删 + # 全量拆网的强平上报也必须是 forced=True + self.assertEqual(len(reports), 1) + self.assertTrue(reports[0][2]) + + +class TestKeepGridReconcile(unittest.TestCase): + """KEEP_GRID 对账：撤无主残单""" + + def test_cancels_unknown_orders_keeps_known_and_reduce_only(self): + gm, om, client, _ = _make_gm(reconcile=True) + level = _filled_level("L0", "LONG", 1800, 0.01, state=GridLevelState.OPEN_PENDING) + level.open_order_id = 100 + gm.grid_levels["ETH"] = [level] + gm.state["active_grids"]["ETH"] = { + "config": {}, + "buy_orders": [{"oid": 101, "px": 1790.0}], + "sell_orders": [], + } + client.open_orders = [ + {"oid": 100, "coin": "ETH", "side": "B", "limitPx": "1800"}, # 层级已知 + {"oid": 101, "coin": "ETH", "side": "B", "limitPx": "1790"}, # state 已知 + {"oid": 102, "coin": "ETH", "side": "A", "limitPx": "1850"}, # 无主 → 撤 + {"oid": 103, "coin": "ETH", "side": "A", "limitPx": "1860", + "reduceOnly": True}, # 减仓保护单 → 保留 + ] + gm.sync_grid("ETH", {"action": "KEEP_GRID"}) + remaining = {o["oid"] for o in client.open_orders} + self.assertEqual(remaining, {100, 101, 103}) + + def test_disabled_leaves_orphans(self): + gm, om, client, _ = _make_gm(reconcile=False) + gm.grid_levels["ETH"] = [] + client.open_orders = [{"oid": 102, "coin": "ETH", "side": "A", "limitPx": "1850"}] + gm.sync_grid("ETH", {"action": "KEEP_GRID"}) + self.assertEqual(len(client.open_orders), 1) # 历史行为：不动 + + +class TestDrawdownMinUsd(unittest.TestCase): + """回撤保护绝对额下限""" + + def _make(self, min_usd): + tmp = tempfile.TemporaryDirectory() + plugin = MaxDrawdownProtection( + config={"max_drawdown_pct": 0.10, "pause_hours": 4, "min_drawdown_usd": min_usd}, + data_dir=Path(tmp.name), + ) + plugin._tmp = tmp + return plugin + + def _ctx(self, equity): + return ProtectionContext( + balance=equity, + equity=equity, + unrealized_pnl=0.0, + margin_used=0.0, + current_positions=[], + timestamp=datetime.now(), + ) + + def test_small_account_noise_not_triggered(self): + # $8.61 → $7.71：回撤 10.5% 但绝对额 $0.90 < $5 下限 → 不触发 + plugin = self._make(min_usd=5.0) + plugin.check(self._ctx(8.61)) + result = plugin.check(self._ctx(7.71)) + self.assertFalse(result.triggered) + + def test_large_drawdown_still_triggers(self): + # $100 → $89：回撤 11% 且绝对额 $11 ≥ $5 → 触发 + plugin = self._make(min_usd=5.0) + plugin.check(self._ctx(100.0)) + result = plugin.check(self._ctx(89.0)) + self.assertTrue(result.triggered) + + def test_default_zero_keeps_history_behavior(self): + # 默认 0 = 关闭：纯百分比触发（历史行为） + plugin = self._make(min_usd=0) + plugin.check(self._ctx(8.61)) + result = plugin.check(self._ctx(7.71)) + self.assertTrue(result.triggered) + + +class TestRebuildInventoryBudget(unittest.TestCase): + """严格模式批量重建额度制。 + + 线上实测缺陷：入口布尔检查时空头敞口 $14.6 < 上限 $40 放行，随后一轮 + 批量挂出 4×$50 卖单，潜在同向敞口 $214（上限 5 倍）——循环自己挂出的 + 单不会被入口检查计入。修复后本轮已挂同向名义额计入预算，耗尽即跳过。 + """ + + def _run_sync(self, cap, positions=None, price=1800.0, amount=50.0): + gm, om, client, logger = _make_gm( + positions=positions, price=price, cap=cap, cap_strict=True + ) + placed = {"buy": [], "sell": []} + oid_iter = iter(range(1, 100)) + + def _exec_factory(side): + def _exec(symbol, amt, p, **kwargs): + placed[side].append((p, amt)) + oid = next(oid_iter) + return { + "success": True, + "limit_order": { + "response": {"data": {"statuses": [{"resting": {"oid": oid}}]}} + }, + } + + return _exec + + om.execute_long_limit = _exec_factory("buy") + om.execute_short_limit = _exec_factory("sell") + ai_config = { + "action": "UPDATE_GRID", + "lower_price": 1700.0, + "upper_price": 1900.0, + "grid_num": 9, # 等差步长 25：4 买（1700-1775）+ 现价 1800 + 4 卖（1825-1900） + "amount_per_grid": amount, + "grid_type": "ARITHMETIC", + } + with mock.patch("src.trading.grid_manager.time.sleep"): + gm.sync_grid("ETH", ai_config) + return placed + + def test_budget_caps_batch_placement_per_side(self): + # 上限 $120、单格 $50：每侧只放得下 2 格（3 格 $150 > $120） + placed = self._run_sync(cap=120.0) + self.assertEqual(len(placed["buy"]), 2) + self.assertEqual(len(placed["sell"]), 2) + + def test_budget_not_binding_places_full_grid(self): + # 上限充裕：整轮 4 买 4 卖全部挂出 + placed = self._run_sync(cap=500.0) + self.assertEqual(len(placed["buy"]), 4) + self.assertEqual(len(placed["sell"]), 4) + + def test_existing_position_consumes_same_side_budget(self): + # 已有空头 0.01×1800=$18：卖侧余量 $102 → 2 格； + # 买侧反向抵扣余量 $138 → 仍只放得下 2 格（$150 > $138） + placed = self._run_sync( + cap=120.0, positions=[{"coin": "ETH", "szi": "-0.01"}] + ) + self.assertEqual(len(placed["sell"]), 2) + self.assertEqual(len(placed["buy"]), 2) + + def test_zero_headroom_blocks_side_entirely(self): + # 空头敞口 $180 已超上限 $120：卖侧整轮拦截，买侧靠反向抵扣全放行 + placed = self._run_sync( + cap=120.0, positions=[{"coin": "ETH", "szi": "-0.1"}] + ) + self.assertEqual(len(placed["sell"]), 0) + self.assertEqual(len(placed["buy"]), 4) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/test_grid_protection_dataflow.py b/tests/test_grid_protection_dataflow.py new file mode 100644 index 0000000..bdfdd0a --- /dev/null +++ b/tests/test_grid_protection_dataflow.py @@ -0,0 +1,172 @@ +"""网格逐轮盈亏 → 账户级连亏熔断 数据通路测试 + +验证修复：网格 ``_record_round_trip`` 每完成一轮 round-trip，通过 +``on_round_trip_close`` 回调把逐轮盈亏喂给 ``ProtectionManager.on_trade_close``， +使 ``consecutive_loss``（连亏熔断）在纯网格模式下真正生效——此前网格从不上报 +逐笔盈亏，该插件形同虚设。 + +注意：网格只接 ``on_trade_close``（盈亏事件），不接 ``on_trade_open``——网格持续 +滚动库存、无干净的「单笔开仓」语义，position_timeout 不适用，故不接线。 +""" + +import tempfile +import unittest +from decimal import Decimal +from pathlib import Path +from unittest.mock import MagicMock + +from src.plugins.protections import ProtectionContext, ProtectionManager +from src.trading.grid_manager import GridManager +from src.utils.grid_math import GridLevel, GridLevelState + + +class _DummyLogger: + def print_info(self, *a, **k): + pass + + def print_warning(self, *a, **k): + pass + + def print_error(self, *a, **k): + pass + + def print_header(self, *a, **k): + pass + + def print_section(self, *a, **k): + pass + + def log_trade(self, *a, **k): + pass + + +def _make_level(close_fill_price: str, open_fill_price: str = "2000") -> GridLevel: + """构造一个已完成开平仓的层级；close > open 为盈利，close < open 为亏损。""" + level = GridLevel( + id="L0", + price=Decimal(open_fill_price), + amount=Decimal("25"), + side="LONG", + state=GridLevelState.COMPLETED, + ) + level.open_fill_price = Decimal(open_fill_price) + level.open_fill_amount = Decimal("0.01") + level.close_fill_price = Decimal(close_fill_price) + return level + + +def _make_grid_manager(state_file: str, on_round_trip_close=None) -> GridManager: + return GridManager( + order_manager=MagicMock(), + logger=_DummyLogger(), + state_file=state_file, + on_round_trip_close=on_round_trip_close, + ) + + +class TestRoundTripCallbackWiring(unittest.TestCase): + """回调本身的触发与盈亏符号""" + + def setUp(self): + self._tmp = tempfile.TemporaryDirectory() + self.state_file = str(Path(self._tmp.name) / "grid_state.json") + + def tearDown(self): + self._tmp.cleanup() + + def test_callback_fires_with_loss_pnl(self): + """亏损轮回应以负 pnl 回调上报""" + captured = [] + gm = _make_grid_manager( + self.state_file, on_round_trip_close=lambda s, p: captured.append((s, p)) + ) + + gm._record_round_trip("ETH", _make_level(close_fill_price="1980")) # 亏损 + + self.assertEqual(len(captured), 1) + self.assertEqual(captured[0][0], "ETH") + self.assertLess(captured[0][1], 0) + + def test_callback_fires_with_profit_pnl(self): + """盈利轮回应以正 pnl 回调上报""" + captured = [] + gm = _make_grid_manager( + self.state_file, on_round_trip_close=lambda s, p: captured.append((s, p)) + ) + + gm._record_round_trip("ETH", _make_level(close_fill_price="2010")) # 盈利 + + self.assertEqual(len(captured), 1) + self.assertGreater(captured[0][1], 0) + + def test_no_callback_does_not_raise(self): + """未配置回调（protection_manager 为空）时不应报错""" + gm = _make_grid_manager(self.state_file, on_round_trip_close=None) + gm._record_round_trip("ETH", _make_level(close_fill_price="2010")) # 不抛异常即通过 + + def test_callback_exception_does_not_break_record(self): + """回调内部异常被吞掉，不得拖垮网格主流程（PnL 仍正常累计）""" + + def _boom(symbol, pnl): + raise RuntimeError("风控记账炸了") + + gm = _make_grid_manager(self.state_file, on_round_trip_close=_boom) + level = _make_level(close_fill_price="2010") + gm._record_round_trip("ETH", level) # 不应抛出 + + # 轮回计数仍正常推进，证明主流程未被回调异常中断 + self.assertEqual(level.round_trip_count, 1) + + +class TestGridFeedsConsecutiveLoss(unittest.TestCase): + """端到端：网格逐轮盈亏接入真实 ProtectionManager 的连亏熔断""" + + def setUp(self): + self._tmp = tempfile.TemporaryDirectory() + self.state_file = str(Path(self._tmp.name) / "grid_state.json") + self.manager = ProtectionManager( + protections_config=[ + { + "name": "consecutive_loss", + "max_consecutive_losses": 3, + "per_symbol": False, + "pause_hours": 1.0, + } + ], + data_dir=Path(self._tmp.name) / "protection", + ) + self.gm = _make_grid_manager( + self.state_file, + on_round_trip_close=lambda s, p: self.manager.on_trade_close(symbol=s, pnl=p), + ) + + def tearDown(self): + self._tmp.cleanup() + + def _ctx(self) -> ProtectionContext: + return ProtectionContext( + balance=10000, equity=9900, unrealized_pnl=0, margin_used=0, current_positions=[] + ) + + def test_three_losing_round_trips_trigger_consecutive_loss(self): + """连续 3 轮亏损 round-trip 应触发连亏熔断""" + for _ in range(3): + self.gm._record_round_trip("ETH", _make_level(close_fill_price="1980")) + + results = self.manager.check_all(self._ctx()) + self.assertIn("consecutive_loss", [r.plugin_name for r in results]) + + def test_profit_round_trip_resets_counter(self): + """盈利轮回重置计数：2 亏 + 1 盈 + 2 亏 不应触发（阈值 3）""" + self.gm._record_round_trip("ETH", _make_level(close_fill_price="1980")) + self.gm._record_round_trip("ETH", _make_level(close_fill_price="1980")) + self.gm._record_round_trip("ETH", _make_level(close_fill_price="2010")) # 盈利重置 + self.gm._record_round_trip("ETH", _make_level(close_fill_price="1980")) + self.gm._record_round_trip("ETH", _make_level(close_fill_price="1980")) + + results = self.manager.check_all(self._ctx()) + self.assertNotIn("consecutive_loss", [r.plugin_name for r in results]) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/test_protection_drawdown.py b/tests/test_protection_drawdown.py index 4417cd8..a7b86e0 100644 --- a/tests/test_protection_drawdown.py +++ b/tests/test_protection_drawdown.py @@ -117,6 +117,56 @@ def test_resumes_after_pause_period(self, plugin): assert result.triggered is False +class TestDeadlockRecovery: + """死锁恢复：冷静期结束后即使净值未回到旧峰值，也应重置高水位并恢复交易。 + + 回归此前死锁：峰值是只升不降的高水位，触发并（CLOSE_ALL）平成空仓后净值盯市 + 冻结，冷静期结束→解除暂停→立刻用同一笔已发生的回撤再次判超限→重新暂停， + "自动恢复"形同死代码，账户被永久锁死。修复后冷静期结束应把峰值重置为当前净值。 + """ + + def test_resumes_even_if_equity_stays_low(self, plugin): + """净值停在低位（未回到旧峰值）也应在冷静期后恢复，并把峰值重置为当前净值""" + now = datetime.now() + plugin.check(make_ctx(10000, timestamp=now)) + plugin.check(make_ctx(8500, timestamp=now)) # 15% 回撤触发，暂停 + + # 冷静期结束，但净值仍停在低位——模拟空仓现金冻结、盯市不动 + later = now + timedelta(hours=2) + result = plugin.check(make_ctx(8500, timestamp=later)) + + assert result.triggered is False # 恢复交易，不再暂停 + assert plugin._is_paused is False + assert plugin._peak_equity == 8500 # 高水位重置为当前净值 + + def test_no_immediate_retrigger_after_resume(self, plugin): + """恢复后净值不变，不应被同一笔旧回撤立刻再次触发（死锁的核心）""" + now = datetime.now() + plugin.check(make_ctx(10000, timestamp=now)) + plugin.check(make_ctx(8500, timestamp=now)) # 触发暂停 + + later = now + timedelta(hours=2) + plugin.check(make_ctx(8500, timestamp=later)) # 解除暂停 + 重置峰值 + # 紧接着再查一次，净值不变：旧逻辑会因旧峰值 10000 重新触发，修复后不应触发 + result = plugin.check(make_ctx(8500, timestamp=later + timedelta(minutes=1))) + assert result.triggered is False + assert plugin._is_paused is False + + def test_fresh_drawdown_from_new_peak_still_triggers(self, plugin): + """重置不等于关闭保护：从新基准再跌一个阈值仍应正常触发""" + now = datetime.now() + plugin.check(make_ctx(10000, timestamp=now)) + plugin.check(make_ctx(8500, timestamp=now)) # 触发，峰值 10000 + + later = now + timedelta(hours=2) + plugin.check(make_ctx(8500, timestamp=later)) # 解除暂停，峰值重置为 8500 + + # 从新基准 8500 再跌 10% → 7650，应再次触发 + result = plugin.check(make_ctx(7650, timestamp=later + timedelta(minutes=1))) + assert result.triggered is True + assert result.action == ProtectionAction.CLOSE_ALL_POSITIONS + + class TestStatePersistence: """状态持久化""" diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..164035f --- /dev/null +++ b/uv.lock @@ -0,0 +1,4898 @@ +version = 1 +revision = 3 +requires-python = ">=3.11" +resolution-markers = [ + "python_full_version >= '3.15' and sys_platform == 'win32'", + "python_full_version == '3.14.*' and sys_platform == 'win32'", + "python_full_version >= '3.15' and sys_platform == 'emscripten'", + "python_full_version == '3.14.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.15' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.14.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and sys_platform == 'win32'", + "python_full_version < '3.12' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] + +[[package]] +name = "aepipe-sdk" +version = "0.1.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/68/82/d417e828859de12619eb87b4056e5c8f8af317da94e3cd323691e4b0f34b/aepipe_sdk-0.1.1.tar.gz", hash = "sha256:0fcf32cb3b9e94f01d3f29bc85d22fe6b88590eb0e0e9afa12a122ce865f138a", size = 12626, upload-time = "2026-03-28T13:12:27.437Z" } +wheels = [ + { url = 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