cavemem

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/indicators/numba_kernels.py","offset":1298,"limit":470} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/indicators/numba_kernels.py","content":" alpha = 2.0 / (length + 1)\n\n for i in range(min_bars, n):\n # Calculate momentum\n momentum[i] = closes[i] - closes[i - 1]\n\n # Sum positive and negative momentum\n sum_pos = 0.0\n sum_neg = 0.0\n for j in range(momentum_period):\n if i - j >= 0:\n m = momentum[i - j]\n …

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/setups.py","offset":300,"limit":40} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/setups.py","content":" status_code=500,\n content={\"status\": \"error\", \"message\": \"Internal server error\"},\n )\n\n\n@router.delete(\"/api/setups/{setup_id}\", response_model=SetupMutationResponse)\nasync def delete_setup(setup_id: str) -> dict[str, str] | JSONResponse:\n try:\n with get_db_cursor() as cur:\n cur.execute(\"DELETE FROM…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/parameters.py","offset":110,"limit":50} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/parameters.py","content":" next chart load hits warm caches instead of first-time compute.\"\"\"\n try:\n from pipeline.cache.cache_warmer import start_strategy_warmup\n start_strategy_warmup(strategy_id, reason)\n except Exception:\n logger.exception(\"Failed to schedule cache re-warm (non-fatal)\")\n\n\n@router.delete(\n \"/api/setups/{setup_id}/parame…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/presets.py","offset":175,"limit":30} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/presets.py","content":" was_autocommit = conn.autocommit\n ensure_connection_idle(conn)\n conn.autocommit = False\n\n with get_db_cursor(conn) as cur:\n cur.execute(\"SELECT id FROM strategies WHERE id = %s FOR UPDATE\", (body.strategy_id,))\n if not cur.fetchone():\n conn.rollback()\n return JSONResponse(status…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/indicators/numba_kernels.py","offset":849,"limit":450} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/indicators/numba_kernels.py","content":" if long_condition and not short_condition:\n direction = 1\n elif short_condition:\n direction = -1\n\n trend_direction[i] = direction\n\n # Generate Signals\n if i > min_bars:\n long_signals[i] = last_direction < 0 and direction > 0\n …

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/strategies.py","offset":385,"limit":30} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/strategies.py","content":"\n@router.delete(\"/api/strategies/{strategy_id}\", response_model=StrategyMutationResponse)\nasync def delete_strategy(strategy_id: str) -> dict[str, str] | JSONResponse:\n try:\n from pipeline.cache import INDICATOR_CACHE, RESPONSE_CACHE, TRADE_CACHE\n\n # DELETE first, evict caches after (#409, reverses #230 ordering).\n # single …

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/hooks/useChartReconciliation.ts"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/hooks/useChartReconciliation.ts","content":"\"use client\";\n\nimport { useCallback, useEffect, useRef, useState } from \"react\";\nimport { tableFromIPC } from \"@uwdata/flechette\";\nimport { clientEnv } from \"@/lib/client-env\";\nimport { createLogger, serializeError } from \"@/lib/betterstack\";\nimport type { LiveBar } from \"@/lib/chart/scichart-types\";\n\nconst logger = createLogger(\"useChartReconciliation\")…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== pipeline_checkpoint bounds ===\"; grep -n \"maxsize\\|max_bytes\\|MAXIMUM\\|OrderedDict\\|ttl\\|TTL\\|_store\\|def put\\|def get\\|PIPELINE_CHECKPOINT =\" services/live-trading/pipeline/cache/pipeline_checkpoint.py | head -30; echo \"=== api container mem_limit ===\"; sed -n '110,200p' docker-compose.yml | grep -n \"container_name\\|mem_limit\"; echo \"=== which callers use EMA vs EMA_fast ===\"; grep -rn \"\\bEMA(\\|from.*techn… output={"stdout":"=== pipeline_checkpoint bounds ===\n26: - Bounded LRU with TTL, both env-configurable.\n30:Thread-safety: single ``threading.Lock`` guards OrderedDict. \n40:from collections import OrderedDict\n48:DEFAULT_MAXSIZE = int(os.environ.get(\"EZALGO_PIPELINE_CHECKPOINT_MAXSIZE\", \"64\"))\n49:DEFAULT_TTL_SECONDS = float(os.environ.get(\"EZALGO_PIPELINE_CHECKPOINT_TTL\", \"300\"))\n75: maxsize: int = DEFAULT_MAXSIZE,\n76: ttl_seconds: float = DEFAULT_TTL_SECONDS,\n78: …

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== cascade delete strategies ===\"; grep -rn \"DELETE FROM\\|cascade\\|delete_strategy\\|def delete\\|ON DELETE\" routes crud database 2>/dev/null | grep -iv test | head -30; echo; echo \"=== ResponseCache / compute_dedup ===\"; grep -rn \"class ResponseCache\\|compute_dedup\\|class TradeCache\\|300\\|ttl\\|TTL\" routes/calculate.py pipeline/cache/*.py 2>/dev/null | grep -i \"ttl\\|dedup\\|300\\|responsecache\" … output={"stdout":"=== cascade delete strategies ===\nroutes/parameters.py:134: cur.execute(\"DELETE FROM strategy_parameter_sets WHERE strategy_id = %s\", (strategy_id,))\nroutes/presets.py:140:async def delete_preset(preset_id: str) -> dict[str, Any] | JSONResponse:\nroutes/presets.py:143: cur.execute(\"DELETE FROM strategy_presets WHERE id = %s RETURNING id\", (preset_id,))\nroutes/presets.py:185: cur.execute(\"DELETE FROM setups WHERE strategy_id = %s\", (body.strate…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/trade-arrow-deserializer.ts"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/trade-arrow-deserializer.ts","content":"import { tableFromIPC } from \"@uwdata/flechette\";\n\nimport type { ArrowMeta } from \"./arrow-deserializer\";\n\n/**\n * Thrown when trade Arrow payload fails schema or value validation (#390).\n * STRICT mode: malformed payloads throw instead of rendering fabricated\n * trades built from coerced defaults.\n */\nexport class TradeArrowValidationError extends Error {\n re…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/canonical_calculator.py","offset":505,"limit":120} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/canonical_calculator.py","content":" timing=timing,\n )\n\n def _extract_ts_values(self, ts_col) -> np.ndarray:\n if ts_col.dtype == pl.Datetime:\n return ts_col.dt.epoch(\"ms\").to_numpy().astype(np.int64)\n elif ts_col.dtype in (pl.Int64, pl.UInt64):\n return ts_col.to_numpy().astype(np.int64)\n else:\n return ts…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/canonical_calculator.py","offset":200,"limit":60} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/canonical_calculator.py","content":"class LiveProcessingError(Exception):\n \"\"\"Raised when live processing encounters corrupt trading-domain data.\n\n Live processing must fail loudly than silently skip or produce\n invalid signal events. This is fail-fast rule from V1 plan.\n \"\"\"\n\n\ndef _validate_badge_matrix(matrix: np.ndarray, n_bars: int) -> None:\n …

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && grep -n \"api/bars\\|timestamp\\|getChild\\|tableFromIPC\\|toArray\\|BigInt\\|epoch\\|1000\\|Number(\" hooks/useChartReconciliation.ts | head -50","description":"Inspect useChartReconciliation timestamp handling"} output={"stdout":"4:import { tableFromIPC } from \"@uwdata/flechette\";\n30: /** Chart's last applied bar timestamp — used as delta cursor instead of DATABASE maximum. */\n57: dbCount: dbCount!= null && dbCount!== \"\"? Number(dbCount): null,\n58: dbMaxTs: dbMaxTs!= null && dbMaxTs!== \"\"? Number(dbMaxTs): null,\n59: dbMinTs: dbMinTs!= null && dbMinTs!== \"\"? Number(dbMinTs): null,\n60: deltaCount: deltaCount!= null && deltaCount!== \"\"? Number(deltaCount): null,\n62: loadT…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && grep -rln \"api/bars\\|bars/delta\". --include=*.ts --include=*.tsx 2>/dev/null | grep -vE \"\\.worktrees|_wiki_ezalgo_donotdelete|live-trading-impl\" | head","description":"Locate bars API usage files"} output={"stdout":"hooks/useChartReconciliation.ts\nqa/bar-count-smoke.spec.ts","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/confluence_evaluator.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/confluence_evaluator.py","content":"\"\"\"Vectorized confluence signal evaluator.\n\nPure NumPy implementation. Array-in, array-out. Zero DATABASE access.\nUses cumsum-based rolling window for O(n) evaluation.\n\"\"\"\n\nimport numpy as np\n\nfrom indicators.constants import DIR_LONG, DIR_SHORT\n\n\ndef _confluence_vectorized(\n masked: np.ndarray,\n lookback_long: int,\n lookb…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && grep -rn \"api/bars\\|/bars?\\|bars/delta\\|readBarsArrow\\|deserializeBars\\|barsFromArrow\" lib application components --include=*.ts --include=*.tsx | grep -vi test | head -40","description":"Find bars fetch consumers"} output={"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/calculate.py","offset":901,"limit":180} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/calculate.py","content":"@router.post(\"/api/calculate\")\nasync def calculate(\n request: Request,\n payload: CalculateRequest,\n) -> Response:\n \"\"\"Compute badges+signals, return Arrow IPC binary.\"\"\"\n if not await CALCULATE_LIMITER.acquire():\n return JSONResponse(\n status_code=429,\n content={\"error\": \"Too many concurrent calculate requ…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && grep -rn \"api/bars\\|/bars\\b\\|tableFromIPC\\|timestamp\" lib/chart lib/scichart lib/snapshot components application 2>/dev/null | grep -iE \"bars|deserial|timestamp\" | grep -vi \"test\" | head -40","description":"Find frontend bars consumer"} output={"stdout":"application/strategy/first/route.ts:33: const timestamp = Date.parse(strategy.created_at);\napp/strategy/first/route.ts:34: if (!Number.isFinite(timestamp)) {\napp/strategy/first/route.ts:38: return timestamp;\nlib/chart/extractPartialBar.ts:13: timestamp: number;\nlib/chart/extractPartialBar.ts:34: const timestamp = Number(event.timestamp?? event.bar_ts?? Date.now());\nlib/chart/extractPartialBar.ts:37: timestamp: Number.isFinite(timestamp)? timestamp: Date.now(),\nlib/chart/Badg…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== calculate POST handler ===\" && grep -n '@router\\|async def\\|def ' routes/calculate.py | head -40 && echo \"=== strategies delete ===\" && grep -n '@router\\|def \\|DELETE\\|delete\\|cascade\\|CASCADE' routes/strategies.py | head -40","description":"Locate handlers in calculate and strategies"} output={"stdout":"=== calculate POST handler ===\n49:def _cancel_compute_and_invalidate_caches(cache_key: str) -> None:\n83:def _zero_strategy_signal_arrays(n_bars: int) -> dict[str, np.ndarray]:\n94:def _zero_signal_pipeline_result(\n148: def validate_target(self) -> \"CalculateRequest\":\n154:def _load_strategy(\n179:def _resolve_parameter_to_strategy(parameter_id: str) -> tuple[str, str, str]:\n208:def _fetch_strategy_row(strategy_id: str) -> dict:\n233:def _raw_badges_to_indicator_signals(\n291:…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== threshold_evaluator ===\"; find. -name threshold_evaluator.py; grep -n \"def evaluate_threshold\\|>=\\|<=\\|== \\|abs(\\|isclose\\|epsilon\\|float\\|astype\" pipeline/signals/threshold_evaluator.py 2>/dev/null | head -40"} output={"stdout":"=== threshold_evaluator ===\n./pipeline/signals/threshold_evaluator.py\n17:def evaluate_threshold(\n43: if basket_size == 0 or n_bars == 0:\n69: has_new_bullish_badge = np.any(badge_stack == DIR_LONG, axis=1)\n70: has_new_bearish_badge = np.any(badge_stack == DIR_SHORT, axis=1)\n73: bull_count = np.sum(state_stack == DIR_LONG, axis=1).astype(np.int32)\n74: bear_count = np.sum(state_stack == DIR_SHORT, axis=1).astype(np.int32)\n85: # Entry: your team's count >= thresh…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/db/direct.py","offset":235,"limit":70} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/db/direct.py","content":"def _get_pool() -> pool.ThreadedConnectionPool:\n \"\"\"Get or create connection pool (lazy, thread-safe).\"\"\"\n global _pool\n with _pool_lock:\n if _pool is not None and not _pool.closed:\n try:\n conn = _pool.getconn()\n if _is_connection_alive(conn):\n _pool.putconn(conn)\n …

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && grep -n \"ts_values\\|latest_ts\\|ts_col\\|epoch\\|to_epoch\\|dt\\.timestamp\\|\\.timestamp()\\|timestamp_ms\\|\\* 1000\\|astype\\|int64\" routes/calculate.py | head -50","description":"Find ts_values construction"} output={"stdout":"75: ts_values: np.ndarray\n100: ts_values = np.array([], dtype=np.int64)\n105: ts_col = bars_df[\"timestamp\"]\n106: if ts_col.dtype == pl.Datetime:\n107: ts_values = ts_col.dt.epoch(\"ms\").to_numpy().astype(np.int64)\n108: elif ts_col.dtype in (pl.Int64, pl.UInt64):\n109: ts_values = ts_col.to_numpy().astype(np.int64)\n111: ts_values = ts_col.cast(pl.Int64).to_numpy().astype(np.int64)\n114: \"open\": bars_df[…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/indicator_arrays.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/indicator_arrays.py","content":"\"\"\"Precompute per-indicator badge + forward-filled state arrays.\n\nComputed ONCE per calculate request, shared by:\n - threshold evaluator (reads basket subset by name)\n - Arrow serialization (writes all indicators to IPC columns)\n\nNo SIGNAL_TO_IDX mapping. Name-based dict lookup only.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && sed -n '55,90p' docker-compose.yml; echo \"=== get_db_cursor / pool ===\"; grep -rn \"def get_db_cursor\\|ThreadedConnectionPool\\|SimpleConnectionPool\\|getconn\\|pool\" SignalPowerPython/signalpower/db/direct.py 2>/dev/null | head; echo \"=== connectorx pool / load_bars_direct ===\"; grep -rn \"read_sql\\|def load_bars_direct\\|connectorx\\|28\\|LIMIT\" services/live-trading/db/arrow_loader.py 2>/dev/null | head"} output={"stdout":"services:\n # ── PgBouncer: Database connection pooler ─────────────────────────\n pgbouncer:\n image: edoburu/pgbouncer\n container_name: ezalgo-pgbouncer\n environment:\n - DB_HOST=supabase_db_EZAlgoCommandCenter\n - DB_PORT=5432\n - DB_USER=postgres\n - DB_PASSWORD=${SUPABASE_PG_PASSWORD}\n - POOL_MODE=transaction\n - MAX_CLIENT_CONN=200\n - DEFAULT_POOL_SIZE=40\n - RESERVE_POOL_SIZE=5\n - RESERVE_POOL_TIMEOUT=3\n - AUTH_…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== threshold == vs epsilon in calculate/canonical ===\"; grep -n \"threshold\\|confluence\\|>=\\|<=\\|== \\|np.isclose\\|epsilon\\|abs(\" pipeline/canonical_calculator.py | grep -i \"thresh\\|conflu\\|isclose\\|epsilon\" | head -40"} output={"stdout":"=== threshold == vs epsilon in calculate/canonical ===\n5:fork indicator, threshold, confluence, or signal math.\n23:from pipeline.signals.confluence_evaluator import evaluate_confluence\n24:from pipeline.signals.threshold_evaluator import evaluate_threshold\n31:from pipeline.indicators.confluence_config import ConfluenceSetupConfig\n32:from pipeline.indicators.threshold_config import ThresholdSetupConfig\n139: \"uptrend_threshold\": 40,\n140: \"downtrend_threshold\": -1…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== _sanitize_signal_array ===\"; grep -n \"_sanitize_signal_array\" pipeline/indicators/wrapper.py | head; sed -n '/def _sanitize_signal_array/,/return/p' pipeline/indicators/wrapper.py | head -40"} output={"stdout":"=== _sanitize_signal_array ===\n27:from pipeline.signals.indicator_arrays import _sanitize_signal_array\n408: long_arr = _sanitize_signal_array(np.asarray(sig[\"long_signal\"]), vid, \"long_signal\")\n409: short_arr = _sanitize_signal_array(np.asarray(sig[\"short_signal\"]), vid, \"short_signal\")\n478: long_arr = _sanitize_signal_array(np.asarray(sig[\"long_signal\"]), vid, \"long_signal\")\n479: short_arr = _sanitiz…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/indicators/wrapper.py","offset":516,"limit":115} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/indicators/wrapper.py","content":" def iter_bulk_badges_numpy(\n self,\n bars_df,\n prev_bars_seen: int = 0,\n emit_chunk_size: int = 100000,\n ) -> Iterator[np.ndarray]:\n \"\"\"Stream badge records as structured NumPy arrays.\n\n Output dtype follows badge record format:\n [bar_index(u4), timestamp(u8), indicator_idx(u1), direct…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/bars.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/bars.py","content":"from __future__ import annotations\n\nimport asyncio\nimport re\nimport time\nimport pyarrow as pa\nimport polars as pl\nimport zstandard as zstd\nfrom fastapi import APIRouter, Request, Response\nfrom fastapi.responses import JSONResponse\nfrom pydantic import BaseModel\n\nfrom pipeline.cache.parquet_sidecar import read_bars_cached, _get_db_bar_stats, _parquet_row_count…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && grep -rn \"timestamp\" routes/calculate.py | grep -iE \"epoch|1000|astype|int64|cast|timestamp\\(\\)|to_epoch|dt\\.|\\.timestamp|ns|us|ms|utc|tz\" | head -60","description":"Grep timestamp conversions in calculate.py"} output={"stdout":"routes/calculate.py:292: \"\"\"Quick bar count + latest timestamp for response cache key (single index scan).\nroutes/calculate.py:306: latest_ts = int(latest_ts.timestamp() * 1000)\nroutes/calculate.py:629: indicator_cache_latest_ts = int(ts_col.maximum().timestamp() * 1000)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/chart_stream.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/chart_stream.py","content":"\"\"\"SSE chart event stream — Redis XREAD on range_bar_events.\n\nExposes GET /api/chart/events as Server-Sent Events endpoint. Reads \nexisting durable ``range_bar_events`` Redis stream with plain XREAD (no\nconsumer groups — chart tabs need every matching event, not partitioned work).\n\nReconnect with Last-Event-ID for replay. Heartbeat comments every 15…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/stats_aggregator.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/stats_aggregator.py","content":"\"\"\"Compute P&L stats from completed trades — TradingView-matching metrics.\n\nMatches frontend ExpandedStats interface with all TradingView\nStrategy Tester metrics: Sharpe, Sortino, CAGR, consecutive wins/losses,\navg bars in trades, gross profit/loss, account size required, etc.\n\nPure computation. No DATABASE access. Accepts TradeResult (zero-c…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/position_filter.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/position_filter.py","content":"\"\"\"Position state filter — gates entries and exits based on running position count.\n\nApplied AFTER raw evaluators (confluence_evaluator, threshold_evaluator).\nThe raw evaluators are stateless — they produce signals that would fire based\non conditions alone. This filter walks bars left-to-right and enforces:\n\n1. Maximum entries cap: no more e…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/threshold_evaluator.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/threshold_evaluator.py","content":"\"\"\"Pure NumPy threshold signal evaluator.\n\nReads precomputed indicator arrays by name (same data source as Arrow tooltip).\nNo SIGNAL_TO_IDX. No badge_matrix. Name-based dict lookup only.\n\nCount-based: thresholds are how many indicators must agree (integer), not percentages.\nNone count = direction is disabled (returns all-zeros for that s…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== docker mem limits ===\"; grep -n \"mem_limit\\|memory:\\|deploy:\\|resources:\\|limits:\" docker-compose.yml | head -30; echo \"=== main_api sweep scheduling ===\"; sed -n '120,170p' services/live-trading/main_api.py; echo \"=== deserializeArrow callers ===\"; grep -rn \"deserializeArrow(\" hooks/ lib/ components/ application/ 2>/dev/null | grep -v test | grep -v \"export function\" | head"} output={"stdout":"=== docker mem limits ===\n12:# deploy:production promotes SHA →:production-latest (floating deploy tag)\n84: mem_limit: 256m\n109: mem_limit: 512m\n129: mem_limit: 2g\n195: mem_limit: 2g\n251: mem_limit: 512m\n306: mem_limit: 8g\n372: mem_limit: 4g\n412: mem_limit: 8g\n451: mem_limit: 1g\n501: mem_limit: 4g\n556: mem_limit: 8g\n627: mem_limit: 512m\n=== main_api sweep scheduling ===\n )\n logger.info(\"Startup: FastAPI service ready\")\n\n…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/indicators/numba_kernels.py","offset":400,"limit":450} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/indicators/numba_kernels.py","content":" \"\"\"\n n = len(highs)\n long_signals = np.zeros(n, dtype=np.bool_)\n short_signals = np.zeros(n, dtype=np.bool_)\n support_zone = np.full(n, np.nan)\n resistance_zone = np.full(n, np.nan)\n\n left_bars = sensitivity\n right_bars = sensitivity\n min_bars = left_bars + right_bars + 1\n\n # Track most recent pivot levels…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/confluence_evaluator.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/confluence_evaluator.py","content":"\"\"\"Vectorized confluence signal evaluator.\n\nPure NumPy implementation. Array-in, array-out. Zero DATABASE access.\nUses cumsum-based rolling window for O(n) evaluation.\n\"\"\"\n\nimport numpy as np\n\nfrom indicators.constants import DIR_LONG, DIR_SHORT\n\n\ndef _confluence_vectorized(\n masked: np.ndarray,\n lookback_long: int,\n lookb…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/trade_simulator.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/trade_simulator.py","content":"\"\"\"Simulate trades from signal history -- vectorized per-contract tracking.\n\nVectorized NumPy implementation. Signal direction extraction, trade P&L,\nand MAE/MFE excursion are all computed without Python loops over bars.\n\nEach signal entry creates `order_size` independent contracts, each tracked\nas its own trade with unique trade_number. O…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/db/arrow_loader.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/db/arrow_loader.py","content":"\"\"\"High-performance Arrow loader for EZAlgo bar data.\n\nUses connectorx (Rust-based) to stream data directly into Arrow memory.\nNo row-by-row psycopg2 fallback is allowed in runtime path.\n\"\"\"\n\nimport re\nfrom typing import Optional\n\nimport polars as pl\n\nfrom logging_config import get_logger\nfrom signalpower.database.direct import get_connectorx_db_url\n…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/trade-arrow-deserializer.ts"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/trade-arrow-deserializer.ts","content":"import { tableFromIPC } from \"@uwdata/flechette\";\n\nimport type { ArrowMeta } from \"./arrow-deserializer\";\n\n/**\n * Thrown when trade Arrow payload fails schema or value validation (#390).\n * STRICT mode: malformed payloads throw instead of rendering fabricated\n * trades built from coerced defaults.\n */\nexport class TradeArrowValidationError extends Error {\n re…

Agent input={"description":"Trade sim and evaluator analysis","prompt":"You are hunting for SILENT correctness bugs (wrong answers, no error/crash) in trade simulation, confluence, and threshold evaluation of EZAlgo trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nIGNORE any paths under `.worktrees/`, `_wiki_ezalgo_donotdelete/`, or `services/live-trading-impl-*`. Only analyze CANONICAL code under `services/live-trading/`.\n\nRead and analyze these files carefully for REAL … output={"isAsync":true,"status":"async_launched","agentId":"acc2d0b4787c969a8","description":"Trade sim and evaluator analysis","resolvedModel":"claude-opus-4-8[1m]","prompt":"You are hunting for SILENT correctness bugs (wrong answers, no error/crash) in trade simulation, confluence, and threshold evaluation of EZAlgo trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nIGNORE any paths under `.worktrees/`, `_wiki_ezalgo_donotdelete/`, or `services/live-trading-impl-*`. Only …

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/arrow-deserializer.ts"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/arrow-deserializer.ts","content":"/**\n * Arrow IPC deserializer for core chart calculation service response.\n *\n * Uses @uwdata/flechette (14KB) for zero-copy Arrow IPC reading.\n * Handles zstd-compressed Arrow IPC (Phase 67) transparently.\n * Zero-only columns may be eliminated server-side — getChild returns null.\n * Returns typed array columns directly — NO object conversion.\n *\n * Arrow table schema …

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/arrow_serializer.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/arrow_serializer.py","content":"\"\"\"Arrow IPC serialization for calculate endpoint.\n\nExtracted from routes/calculate.py (Issue #165) so columnar badge/signal\nserialization and trade-result serialization live in one focused module\nwith no FastAPI/router concerns. calculate.py re-exports public functions\nfor backward compatibility with existing callers and tests.\n\nZer…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== fetchone()[0] without guard ===\" && grep -rn 'fetchone()\\[0\\]\\|fetchone()\\[' routes pipeline storage database 2>/dev/null | head -30 && echo \"=== bare except ===\" && grep -rn 'except:' routes pipeline storage database 2>/dev/null | head && echo \"=== response_cache maximum enforcement ===\" && ls pipeline/cache/ && echo \"---\" && grep -n 'MAXIMUM\\|_max\\|evict\\|1.5\\|1_500\\|GB\\|byte' pipeline/cache/response_cac… output={"stdout":"=== fetchone()[0] without guard ===\nroutes/live_processor_health.py:47: recent_signals = cur.fetchone()[0]\nroutes/setups.py:212: setup_id = cur.fetchone()[0]\nroutes/presets.py:127: preset_id = cur.fetchone()[0]\nroutes/presets.py:198: setup_ids.append(str(cur.fetchone()[0]))\npipeline/webhook_dispatcher.py:331: return cur.fetchone()[0]\nroutes/strategies.py:246: strategy_id = cur.fetchone()[0]\npipeline/live_processo…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== useBarRealtime debounce ===\"; grep -rn \"debounce\\|3000\\|3_000\\|setTimeout\\|3s\" hooks/useBarRealtime* lib/**/useBarRealtime* 2>/dev/null | head; find. -name \"useBarRealtime*\" -not -path \"*/.worktrees/*\" -not -path \"*/node_modules/*\" 2>/dev/null; echo \"=== Worker usage for deserialize ===\"; grep -rln \"new Worker\\|Worker(\" lib/ components/ application/ 2>/dev/null | grep -v test | grep -v node_modules | head; echo \"… output={"stdout":"=== useBarRealtime debounce ===\n=== Worker usage for deserialize ===\nlib/duckdb.ts\n=== snapshot-store IndexedDB writes ===\n46: upgrade(database, oldVersion, _newVersion, transaction) {\n59: const metaStore = transaction!.objectStore(\"snapshots_meta\");\n78: const database = await getDB();\n86: const database = await getDB();\n94: const database = await getDB();\n102: const database = await getDB();\n111:export async function putSnapshot(parameters: {\n117: const database = await getDB();\n124: const…

Bash input={"command":"ls /home/ezalgo/workspace/ezalgoCommandCenter/lib/*arrow* /home/ezalgo/workspace/ezalgoCommandCenter/lib/*trade* 2>/dev/null","description":"Find arrow deserializer files"} output={"stdout":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/arrow-deserializer.ts\n/home/ezalgo/workspace/ezalgoCommandCenter/lib/trade-arrow-deserializer.ts\n/home/ezalgo/workspace/ezalgoCommandCenter/lib/trade-arrow-deserializer.ts\n/home/ezalgo/workspace/ezalgoCommandCenter/lib/trade-stats-duckdb.ts","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/arrow-deserializer.ts","offset":235,"limit":130} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/arrow-deserializer.ts","content":"export function deserializeArrow(buffer: ArrayBuffer): ArrowCalculateResponse {\n const table = tableFromIPC(buffer);\n const nBars = table.numRows;\n\n // Payload-size logging (Issue #181): surface decompressed byte size in\n // dev so oversized responses are visible at browser, paired with \n // server's 413 cap. Suppressed in production to avoid console spam.\n …

Bash input={"command":"ls -la /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/ /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/db/ /home/ezalgo/workspace/ezalgoCommandCenter/lib/ 2>/dev/null | head -100","description":"List key directories"} output={"stdout":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/:\ntotal 208\ndrwxrwxr-x 11 ezalgo ezalgo 4096 Jul 29 05:47.\ndrwxr-xr-x 52 ezalgo ezalgo 4096 Jul 29 06:01..\n-rw-r--r-- 1 ezalgo ezalgo 2591 Jun 14 04:03 AGENTS.md\ndrwxr-xr-x  2 ezalgo ezalgo 4096 Jun 28 05:07 __pycache__\ndrwxrwxr-x  2 ezalgo ezalgo 4096 Jul 29 02:35 __tests__\n-rw-r--r-- 1 ezalgo ezalgo 15663 Jul 24 03:08 arrow-deserializer.ts\n-rw-r--r-- 1 ezalgo ezalgo 2556 Jul 29 02:35 available-ranges.ts\n-rw-rw-r-- 1…

Agent input={"description":"Timestamp drift analysis TS side","prompt":"You are hunting for SILENT correctness bugs (wrong answers, no error/crash) in timestamp/timezone handling of EZAlgo trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nIGNORE any paths under `.worktrees/` or `_wiki_ezalgo_donotdelete/` or `services/live-trading-impl-*`. Only analyze CANONICAL code: `services/live-trading/`, `lib/`, `app/`, `components/`, and top-level TS/TSX.\n\nFocus areas — find REA… output={"isAsync":true,"status":"async_launched","agentId":"aa5e9936f1e5c6afb","description":"Timestamp drift analysis TS side","resolvedModel":"claude-opus-4-8[1m]","prompt":"You are hunting for SILENT correctness bugs (wrong answers, no error/crash) in timestamp/timezone handling of EZAlgo trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nIGNORE any paths under `.worktrees/` or `_wiki_ezalgo_donotdelete/` or `services/live-trading-impl-*`. Only analyze CANONICAL c…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/parquet_sidecar.py","offset":305,"limit":100} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/parquet_sidecar.py","content":"\n\ndef _compute_gap_signature_from_df(df: pl.DataFrame, min_gap_seconds: float = 300.0) -> list[tuple[int, int]]:\n \"\"\"Compute gap signature from cached DataFrame for comparison with DATABASE truth.\"\"\"\n if len(df) < 2:\n return []\n ts_sorted = df[\"timestamp\"].sort()\n diffs = ts_sorted[1:] - ts_sorted[:-1]\n gap_mask = diff…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && grep -n \"def _prepare_bars_for_use\\|def _read_all_bars_from_db\\|def _read_new_bars\\|def _rebuild_cache\\|load_bars_direct\\|load_new_bars_direct\\|\\.sort(\\|bar_index\" pipeline/cache/parquet_sidecar.py"} output={"stdout":"35:from database.arrow_loader import load_bars_direct, load_new_bars_direct, validate_ohlcv_finite\n139: return df.sort(\"timestamp\")\n176: combined = pl.concat([existing, new_df]).sort(\"timestamp\")\n311: ts_sorted = df[\"timestamp\"].sort()\n321:def _read_all_bars_from_db(ticker: str, range_size: int) -> pl.DataFrame | None:\n322: return load_bars_direct(ticker, range_size)\n331:def _read_new_bars(ticker: str, range_size: int, after_ts) -> pl.DataFrame | None:\n332: …

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/chart/controllers/ChartDatasetController.ts"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/chart/controllers/ChartDatasetController.ts","content":"import type { SciChartSurface, TSciChart } from 'scichart'\nimport { ChartDataSeries } from '../chartDataSeries'\nimport { loadChartData } from '../loadChartData'\nimport type { ChartData, LiveBar } from '../scichart-types'\nimport { withSuspendedUpdates } from '../withSuspendedUpdates'\n\nfunction binarySearchTimestamp(timestamps: Float64Array, target: number…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/parquet_sidecar.py","offset":480,"limit":160} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/parquet_sidecar.py","content":" # incremental append, not rebuild.\n except Exception as e:\n logger.warning(\n \"EPOCH_CHECK_SKIPPED %s_%d (key=%s): epoch staleness check failed — \"\n \"serving cache without epoch validation, may be stale: %s\",\n ticker, range_size, lock_key, e,\n )\n\n csv_row_count = _parquet_row_cou…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/parquet_sidecar.py","offset":146,"limit":70} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/parquet_sidecar.py","content":"def _write_parquet(ticker: str, range_size: int, df: pl.DataFrame) -> None:\n CACHE_DIR.mkdir(parents=True, exist_ok=True)\n path = _parquet_path(ticker, range_size)\n fd, tmp_path = tempfile.mkstemp(directory=str(CACHE_DIR), suffix=\".parquet.tmp\")\n try:\n os.close(fd)\n df.write_parquet(tmp_path)\n os.replace(tmp_path, st…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== morphData / dataset controller ===\"; grep -rln \"morphData\\|ChartDatasetController\\|clearDataset\\|deleteSeries\" lib/ components/ 2>/dev/null | head; echo \"=== arrow deserialize main thread ===\"; grep -rn \"tableFromIPC\\|deserialize\\|Worker\\|worker\" lib/arrow-deserializer.ts 2>/dev/null | head; echo \"=== indexeddb ===\"; grep -rln \"indexedDB\\|IndexedDB\\|idb\\|objectStore\" lib/ 2>/dev/null | head"} output={"stdout":"=== morphData / dataset controller ===\nlib/chart/chartDataSeries.ts\nlib/chart/__tests__/liveOverlayFixes.test.ts\nlib/chart/__tests__/morphData.test.ts\nlib/chart/__tests__/ChartDatasetController.liveOverlayIntegration.test.ts\nlib/chart/controllers/BadgeLayerController.ts\nlib/chart/controllers/__tests__/ChartDatasetController.diffGate.test.ts\nlib/chart/controllers/ChartDatasetController.ts\ncomponents/trading/SciChartTradingChart.tsx\ncomponents/chart/AGENTS.md\n=== arrow deseria…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/redis_consumer.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/redis_consumer.py","content":"\"\"\"Redis Streams consumer for live bar processing.\n\nReplaces Supabase Realtime as live trading transport.\nUses XREADGROUP with explicit XACK ONLY after successful processing.\n\nACK rules ( core correctness contract):\n - ACK only when process_callback returns successfully (signals persisted, cursor advanced)\n - Do NOT ACK when live processing…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== os.replace / rename / tmp in sidecar+cache ===\"; grep -n \"os.replace\\|os.rename\\|shutil\\|tempfile\\|NamedTemporary\\|\\.tmp\\|atomic\\|fsync\\|schema_fingerprint\\|fingerprint\\|write_parquet\\|read_parquet\" pipeline/cache/parquet_sidecar.py pipeline/cache/indicator_cache.py"} output={"stdout":"=== os.replace / rename / tmp in sidecar+cache ===\npipeline/cache/indicator_cache.py:17:import tempfile\npipeline/cache/indicator_cache.py:40: return Path(tempfile.gettempdir()) / \"ezalgo-cache\" / \"indicator-cache\"\npipeline/cache/indicator_cache.py:141: \"\"\"Persist cache entry to disk atomically. Called from background thread.\npipeline/cache/indicator_cache.py:172: fd, tmp_path = tempfile.mkstemp(directory=str(self._persist_dir), suffix=\".parquet.tmp\")\npipelin…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/live_processor.py","offset":234,"limit":120} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/live_processor.py","content":"def fetch_bars_after_cursor(\n conn,\n ticker: str,\n range_size: int,\n after_timestamp: int,\n warmup_bars: int = WARMUP_DEFAULT_BARS,\n) -> pl.DataFrame | None:\n \"\"\"Fetch completed bars after cursor timestamp with warmup context.\n\n Loads warmup_bars before cursor for indicator state, plus all bars\n strictly after curs…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/calculate.py","offset":280,"limit":160} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/calculate.py","content":" long_mask = idx_mask & (directions == 1) & valid\n short_mask = idx_mask & (directions == -1) & valid\n\n if long_mask.any():\n signals[name][\"long_signal\"][bar_indices[long_mask]] = True\n if short_mask.any():\n signals[name][\"short_signal\"][bar_indices[short_mask]] = True\n\n return signals\n\n\ndef _get_ba…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/storage/outbox_relay.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/storage/outbox_relay.py","content":"\"\"\"Outbox relay — bridges Postgres outbox table to Redis Streams.\n\nReads unsent rows from range_bar_outbox_events, XADDs them to Redis,\nthen marks them sent. This runs alongside MT5 connector because:\n\n1. relay needs Postgres access (same process already has it)\n2. relay needs Redis access (new dependency)\n3. Running it in MT5 connector…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/hooks/useTradingChartSurface.ts"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/hooks/useTradingChartSurface.ts","content":"'use client'\n\nimport { useCallback, useEffect, useRef, useState } from 'react'\nimport type { IInitResult } from 'scichart-react'\nimport {\n CursorModifier,\n EAutoRange,\n EAxisAlignment,\n EDragMode,\n ENumericFormat,\n EXyDirection,\n MouseWheelZoomModifier,\n NumericAxis,\n PinchZoomModifier,\n SciChartSurface,\n XAxisDragModifier,\n ZoomExtentsModifier,\n …

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== RESPONSE_CACHE usage ===\" && grep -rn \"RESPONSE_CACHE\\|response_cache\\|cache_key\\|_cache_key\\|latest_ts\" routes/calculate.py | head -40"} output={"stdout":"=== RESPONSE_CACHE usage ===\nroutes/calculate.py:38:from pipeline.cache.response_cache import RESPONSE_CACHE\nroutes/calculate.py:49:def _cancel_compute_and_invalidate_caches(cache_key: str) -> None:\nroutes/calculate.py:50: cancel_compute(cache_key)\nroutes/calculate.py:51: RESPONSE_CACHE.invalidate(cache_key)\nroutes/calculate.py:52: TRADE_CACHE.invalidate(cache_key)\nroutes/calculate.py:294: Returns (n_bars, latest_ts_epoch_ms). Returns (0, 0) if no bars.\nroutes/calcu…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/arrow-deserializer.ts"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/arrow-deserializer.ts","content":"/**\n * Arrow IPC deserializer for core chart calculation service response.\n *\n * Uses @uwdata/flechette (14KB) for zero-copy Arrow IPC reading.\n * Handles zstd-compressed Arrow IPC (Phase 67) transparently.\n * Zero-only columns may be eliminated server-side — getChild returns null.\n * Returns typed array columns directly — NO object conversion.\n *\n * Arrow table schema …

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== calculate_limiter ===\"; cat services/live-trading/pipeline/calculate_limiter.py 2>/dev/null | head -60; echo \"=== outbox / relay / circuit breaker ===\"; grep -rln \"outbox\\|relay\" services/live-trading --include=*.py | grep -v test | head"} output={"stdout":"=== calculate_limiter ===\n\"\"\"Bounded async semaphore for /api/calculate concurrency limiting.\n\nPrevents multi-tab or multi-user stampedes from exhausting \nThreadPoolExecutor and DATABASE connection pool. Returns 429 with\nRetry-After when saturated.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nimport os\nimport time\nfrom dataclasses import dataclass, field\n\nfrom logging_config import get_logger\n\nlogger = get_logger(\"calculate_limiter\", component=\"pipel…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== sweep_stale callers ===\"; grep -rn \"sweep_stale\\|\\.sweep(\\|INDICATOR_CACHE.sweep\\|cache_cleanup\" services/live-trading --include=*.py | grep -v test | head; echo \"=== fetch_bars_after_cursor ===\"; grep -rn \"fetch_bars_after_cursor\\|warmup\\|DESC\\|500\" services/live-trading/pipeline/live_processor.py | head -30; echo \"=== pgbouncer configuration ===\"; find. -iname \"*pgbouncer*\" -not -path \"*/.worktrees/*\" 2>/dev/… output={"stdout":"=== sweep_stale callers ===\nservices/live-trading/pipeline/cache/cache_cleanup.py:18:logger = get_logger(\"cache_cleanup\", component=\"cache\")\nservices/live-trading/pipeline/cache/cache_cleanup.py:60: logger.debug(\"cache_cleanup_skipped_dir_missing\", path=str(cache_dir))\nservices/live-trading/pipeline/cache/cache_cleanup.py:78: logger.warning(\"cache_cleanup_stat_failed\", path=str(entry))\nservices/live-trading/pipeline/cache/cache_cleanup.py:88: l…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== useTradingChartSurface dispose ===\" && sed -n '1,60p' hooks/useTradingChartSurface.ts 2>/dev/null | grep -n 'dispose\\|delete\\|surface\\|controller'; echo \"=== global error boundary / error.tsx / unhandledrejection ===\" && find application -name 'error.tsx' -o -name 'global-error.tsx' 2>/dev/null; echo \"---unhandledrejection---\" && grep -rn 'unhandledrejection\\|onunhandledrejection\\|addEventListener..error' application components … output={"stdout":"=== useTradingChartSurface dispose ===\n27:import { ChartDatasetController } from '@/lib/chart/controllers/ChartDatasetController'\n28:import { BadgeLayerController } from '@/lib/chart/controllers/BadgeLayerController'\n29:import { TradeLayerController } from '@/lib/chart/controllers/TradeLayerController'\n30:import { ViewportController } from '@/lib/chart/controllers/ViewportController'\n34: surface: SciChartSurface\n=== global error boundary / error.tsx / unhandledrejection ===\nap…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/bars.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/bars.py","content":"from __future__ import annotations\n\nimport asyncio\nimport re\nimport time\nimport pyarrow as pa\nimport polars as pl\nimport zstandard as zstd\nfrom fastapi import APIRouter, Request, Response\nfrom fastapi.responses import JSONResponse\nfrom pydantic import BaseModel\n\nfrom pipeline.cache.parquet_sidecar import read_bars_cached, _get_db_bar_stats, _parquet_row_count…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/arrow_serializer.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/arrow_serializer.py","content":"\"\"\"Arrow IPC serialization for calculate endpoint.\n\nExtracted from routes/calculate.py (Issue #165) so columnar badge/signal\nserialization and trade-result serialization live in one focused module\nwith no FastAPI/router concerns. calculate.py re-exports public functions\nfor backward compatibility with existing callers and tests.\n\nZer…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/response_cache.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/response_cache.py","content":"\"\"\"In-memory Arrow IPC response byte cache with TTL and memory-aware eviction.\n\nCaches serialized Arrow IPC bytes keyed by request signature.\nServes identical bytes on repeat requests (zero serialization cost).\nKey format: \"{strategy_id}:{n_bars}:{latest_ts}\" -- any change invalidates.\n\nEvicts by total byte size (memory budget) than en…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/indicator_cache.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/indicator_cache.py","content":"\"\"\"In-memory indicator result cache with param_hash invalidation.\n\nKeyed by (strategy_id, parameter_id, param_hash) so that parameter\nchanges invalidate only that indicator's cache entry.\n\nUses OrderedDict for O(1) LRU eviction.\nDisk persistence runs in background thread to avoid blocking pipeline.\n\"\"\"\n\nfrom __future__ import annot…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/parquet_sidecar.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/parquet_sidecar.py","content":"\"\"\"Parquet sidecar cache for bar data.\n\nCaches bar DataFrames as Parquet files on local disk.\nFirst load reads from DATABASE and writes Parquet sidecar.\nSubsequent loads read from Parquet (<1s vs 28s from DATABASE).\nNew bars detected via DATABASE stats vs cache metadata comparison.\n\nCache integrity is validated on every read:\n - DATABASE COUNT(*) vs Parquet row co…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== where is arrow IPC serialized ===\"; grep -rln \"new_stream\\|RecordBatchStreamWriter\\|ipc.write\\|import pyarrow\" --include=*.py routes pipeline | grep -v test; echo \"---bars.py---\"; grep -n \"pa\\.\\|schema\\|field\\|float\\|Float\\|array\\|ipc\\|stream\" routes/bars.py | head -40"} output={"stdout":"=== where is arrow IPC serialized ===\nroutes/bars.py\nroutes/arrow_serializer.py\npipeline/cache/indicator_cache.py\npipeline/cache/parquet_sidecar.py\n---bars.py---\n86: media_type=\"application/vnd.apache.arrow.stream\",\n103: media_type=\"application/vnd.apache.arrow.stream\",\n112: sink = pa.BufferOutputStream()\n113: writer = pa.ipc.new_stream(sink, table.schema)\n129: media_type=\"application/vnd.apache.arrow.stream\",\n140: \"\"\"Fetch bar…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/bars/rust_builder/src/lib.rs","offset":93,"limit":150} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/bars/rust_builder/src/lib.rs","content":" /// Process single tick. Returns list of completed bars (0 or more).\n ///\n /// One tick can produce multiple bars when price gaps across several ranges\n /// (phantom bars). Only trade ticks (TICK_FLAG_LAST) are processed.\n #[pyo3(signature = (timestamp, bid, ask, last, volume, flags))]\n function process_tick(\n &mut self,\n …

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/components/trading/SciChartTradingChart.tsx","limit":575} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/components/trading/SciChartTradingChart.tsx","content":"\"use client\";\n\nimport {\n useCallback,\n useEffect,\n useMemo,\n useRef,\n useState,\n type CSSProperties,\n} from \"react\";\nimport { SciChartReact } from \"scichart-react\";\nimport type { IInitResult } from \"scichart-react\";\nimport type { SciChartSurface } from \"scichart\";\nimport { ChevronsLeft, ChevronsRight } from \"lucide-react\";\nimport { …

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== arrow serialization functions in calculate.py ===\"; grep -n \"def.*arrow\\|def _serialize\\|RecordBatch\\|ipc\\|new_stream\\|write_stream\\|pa\\.\\|schema\" routes/calculate.py | head -80"} output={"stdout":"=== arrow serialization functions in calculate.py ===\n412: \"signal_schema_version\": SIGNAL_SCHEMA_VERSION,\n862: \"signal_schema_version\": SIGNAL_SCHEMA_VERSION,","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/bars/rust_builder && wc -l src/lib.rs && grep -n \"completed\\|Vec<Bar>\\|\\.push\\|drain\\|clear\\|Vec::new\\|completed_bars\" src/lib.rs | head -60"} output={"stdout":"658 src/lib.rs\n74: completed: Vec<Bar>,\n89: completed: Vec::new(),\n93: /// Process single tick. Returns list of completed bars (0 or more).\n110: return Ok(Vec::new());\n116: let drained = std::mem::take(&mut self.completed);\n117: drained\n124: /// Returns number of completed bars produced.\n127: /// CONTRACT (#419): completed bars accumulate in `self.completed` — \n128: /// caller MUST call `drain_completed_bars()` aft…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/calculate.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/calculate.py","content":"\"\"\"Calculate endpoint — compute badges+signals in-memory, return Arrow IPC.\n\nPOST /api/calculate -- core pipeline.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nimport concurrent.futures\nimport json as _json\nimport time\nfrom dataclasses import dataclass\nfrom pathlib import Path\n\nimport numpy as np\nimport polars as pl\nimport psycop…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== iter_bulk_badges_numpy ===\"; grep -rn \"def iter_bulk_badges_numpy\\|iter_bulk_badges\" --include=*.py services SignalPowerPython | grep -v test | grep -v worktree | grep -v impl-198"} output={"stdout":"=== iter_bulk_badges_numpy ===\nservices/live-trading/pipeline/canonical_calculator.py:527: for chunk in wrapper.iter_bulk_badges_numpy(bars_df):\nservices/live-trading/pipeline/canonical_calculator.py:586: for chunk in wrapper.iter_bulk_badges_numpy(bars_df):\nservices/live-trading/routes/calculate.py:240: Operates on structured NumPy array from iter_bulk_badges_numpy.\nservices/live-trading/routes/calculate.py:720: # iter_bulk_badges_numpy recompute; it d…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== _serialize_arrow / schema in calculate.py ===\"; grep -n \"def _serialize_arrow\\|pa.field\\|pa.schema\\|pa.array\\|Float32\\|Float64\\|float32\\|float64\\|Int8\\|int8\\|new_stream\\|ipc\" routes/calculate.py | head -60"} output={"stdout":"=== _serialize_arrow / schema in calculate.py ===\n85: \"strategy_entry_long\": np.zeros(n_bars, dtype=np.int8),\n86: \"strategy_entry_short\": np.zeros(n_bars, dtype=np.int8),\n87: \"strategy_exit_long\": np.zeros(n_bars, dtype=np.int8),\n88: \"strategy_exit_short\": np.zeros(n_bars, dtype=np.int8),\n114: \"open\": bars_df[\"open\"].to_numpy().astype(np.float64),\n115: \"high\": bars_df[\"high\"].to_numpy().astype(np.float64),\n116: …

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/chart/createTradeSeries.ts"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/chart/createTradeSeries.ts","content":"import {\n FastLineRenderableSeries,\n SpritePointMarker,\n XyDataSeries,\n XyScatterRenderableSeries,\n} from 'scichart'\nimport type { TSciChart } from 'scichart'\nimport type { TradeMarkerData } from '@/types/engineState'\n\nexport interface TradeSeriesResult {\n readonly series: Array<FastLineRenderableSeries | XyScatterRenderableSeries>\n}\n\ntype TradeBucketKey =\n …

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/calculate.py","limit":130} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/calculate.py","content":"\"\"\"Calculate endpoint — compute badges+signals in-memory, return Arrow IPC.\n\nPOST /api/calculate -- core pipeline.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nimport concurrent.futures\nimport json as _json\nimport time\nfrom dataclasses import dataclass\nfrom pathlib import Path\n\nimport numpy as np\nimport polars as pl\nimport psycop…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/indicators/wrapper.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/indicators/wrapper.py","content":"\"\"\"IndicatorWrapper -- bar-by-bar interface over SignalPower vectorized engine.\n\nWraps existing SignalPower engine (without modifying it) to provide:\n- handle_bar(): feed one OHLCV bar, get per-indicator signals back\n- is_ready(): per-indicator warmup tracking based on get_min_bars()\n- all_ready: True when every indicator has seen enough b…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/indicator_cache.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/indicator_cache.py","content":"\"\"\"In-memory indicator result cache with param_hash invalidation.\n\nKeyed by (strategy_id, parameter_id, param_hash) so that parameter\nchanges invalidate only that indicator's cache entry.\n\nUses OrderedDict for O(1) LRU eviction.\nDisk persistence runs in background thread to avoid blocking pipeline.\n\"\"\"\n\nfrom __future__ import annot…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/response_cache.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/cache/response_cache.py","content":"\"\"\"In-memory Arrow IPC response byte cache with TTL and memory-aware eviction.\n\nCaches serialized Arrow IPC bytes keyed by request signature.\nServes identical bytes on repeat requests (zero serialization cost).\nKey format: \"{strategy_id}:{n_bars}:{latest_ts}\" -- any change invalidates.\n\nEvicts by total byte size (memory budget) than en…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/utils/technicals_vectorized.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/utils/technicals_vectorized.py","content":"\"\"\"\nVECTORIZED TECHNICAL INDICATORS - NO PYTHON LOOPS\n\nThis module provides NumPy-native implementations of common technical indicators.\nALL functions operate on entire arrays at once - NO for-loops over individual bars.\n\nPerformance: 10-100x faster than loop-based implementations.\n\nRULE: Any new technical function MUST be vectorized. N…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/live_processor.py","offset":195,"limit":130} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/live_processor.py","content":"\n\n_SAFE_TICKER_RE = re.compile(r\"^[A-Za-z0-9_.]+$\")\n\n\ndef _validate_runtime_query_inputs(ticker: str, range_size: int) -> None:\n if not _SAFE_TICKER_RE.fullmatch(ticker):\n raise ValueError(f\"Unsafe ticker for live processor: {ticker!r}\")\n if range_size <= 0:\n raise ValueError(f\"range_size must be positive, got {range_size}\")…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && find services/live-trading -name \"technicals_vectorized.py\" 2>/dev/null; find. -name \"technicals_vectorized.py\" 2>/dev/null | head; echo \"---rust---\"; find. -path \"*rust_builder/src/lib.rs\" 2>/dev/null"} output={"stdout":"./SignalPowerPython/signalpower/utils/technicals_vectorized.py\n./.worktrees/impl/issue-176/SignalPowerPython/signalpower/utils/technicals_vectorized.py\n./.worktrees/impl/issue-238/SignalPowerPython/signalpower/utils/technicals_vectorized.py\n./.worktrees/impl/issue-189/SignalPowerPython/signalpower/utils/technicals_vectorized.py\n./.worktrees/impl/issue-179/SignalPowerPython/signalpower/utils/technicals_vectorized.py\n./.worktrees/impl/issue-180/SignalPowerPython/signalpower/utils/t…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/db/arrow_loader.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/db/arrow_loader.py","content":"\"\"\"High-performance Arrow loader for EZAlgo bar data.\n\nUses connectorx (Rust-based) to stream data directly into Arrow memory.\nNo row-by-row psycopg2 fallback is allowed in runtime path.\n\"\"\"\n\nimport re\nfrom typing import Optional\n\nimport polars as pl\n\nfrom logging_config import get_logger\nfrom signalpower.database.direct import get_connectorx_db_url\n…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/badge_matrix.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/badge_matrix.py","content":"\"\"\"Badge matrix construction from indicator outputs.\n\nBuilds (n_bars, N_SIGNALS) int8 matrix from IndicatorWrapper signal dicts.\nPure NumPy — no DATABASE access.\n\"\"\"\n\nimport logging\n\nimport numpy as np\n\nfrom indicators.constants import DIR_LONG, DIR_SHORT, N_SIGNALS, SIGNAL_TO_IDX\nfrom pipeline.signals.indicator_arrays import _sanitize_sig…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/indicator_arrays.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/pipeline/signals/indicator_arrays.py","content":"\"\"\"Precompute per-indicator badge + forward-filled state arrays.\n\nComputed ONCE per calculate request, shared by:\n - threshold evaluator (reads basket subset by name)\n - Arrow serialization (writes all indicators to IPC columns)\n\nNo SIGNAL_TO_IDX mapping. Name-based dict lookup only.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/indicators/constants.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/indicators/constants.py","content":"\"\"\"Indicator ID constants for SignalPower integration.\n\nAll 20 canonical indicator names in SCREAMING_SNAKE_CASE.\nNo translation dictionaries. DATABASE name = Python name = TypeScript name.\n\"\"\"\n\nimport numpy as np\n\n# ---------------------------------------------------------------------------\n# Numpy signal array infrastructure (Phase 14 - vectorized pip…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && ls services/live-trading/ && echo \"---ROUTES---\" && ls services/live-trading/routes/ 2>/dev/null && echo \"---PIPELINE---\" && find services/live-trading/pipeline -type f -name \"*.py\" 2>/dev/null | head -50"} output={"stdout":"AGENTS.md\nCONTEXT.md\nDockerfile\nHANDOFF.md\nHANDOFF_WINDOWS_RESTART.md\nHARDENED_SETUP.md\nOpen-LiveTrading-Manager.vbs\nREADME.md\nStart-LiveTrading.vbs\n__init__.py\n__pycache__\n_types.py\napi_models.py\nbars\nbetterstack_logging.py\nconfig.py\ncontracts.py\ndb\ndebug_recalc.txt\ndeploy\ngap_fill.py\nhistorical_rebuild.py\nindicators\ninstall-service.ps1\ninstall-ws-service.ps1\nlive_main.py\nlogs\nmain_api.py\nmarket_sessions.py\nmes_strategies.txt\nmes_symbol_config.txt\nmigra…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== signals directory ===\" && ls pipeline/signals/ 2>/dev/null && echo \"=== cache directory ===\" && ls pipeline/cache/ 2>/dev/null && echo \"=== routes ===\" && ls routes/ 2>/dev/null && echo \"=== indicators ===\" && ls pipeline/indicators/ 2>/dev/null"} output={"stdout":"=== signals directory ===\nAGENTS.md\n__init__.py\n__pycache__\nbadge_matrix.py\nconfluence_evaluator.py\ndomain.py\nindicator_arrays.py\nposition_filter.py\nstats_aggregator.py\nsuffixes.py\nthreshold_evaluator.py\ntrade_simulator.py\n=== cache directory ===\n__init__.py\n__pycache__\ncache_cleanup.py\ncache_warmer.py\ncompute_dedup.py\nindicator_cache.py\nparquet_sidecar.py\npipeline_checkpoint.py\nresponse_cache.py\ntrade_cache.py\n=== routes ===\n__pycache__\nablation.py\narrow_serializer.py\…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/code-style.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/code-style.md","content":"# Code Style and Workflow\n\n## TypeScript/React\n\n- **Strict mode** in `tsconfig.json`\n- **Imports**: use `@/` path alias from project root\n- **Formatting**: Prettier defaults\n- **ESLint rules**:\n - `@typescript-eslint/no-unused-vars`: warn\n - `@typescript-eslint/no-explicit-any`: warn\n - `react-compiler/react-compiler`: warn (experimental)\n - `react-hooks/static…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/chart-scichart.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/chart-scichart.md","content":"# Chart System (SciChart WebGL)\n\n**Library:** SciChart v5 (`scichart` + `scichart-react`) — NOT Lightweight Charts or TradingView.\n**WASM:** `/wasm/scichart2d.wasm`, eagerly initialized at application startup.\n\n## Key Files\n\n- `components/trading/SciChartTradingChart.tsx` (1203 lines) — main chart: candlesticks, badge scatter layers, trade markers\n- `providers/scichart-pr…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== connectorx usage ===\" && grep -rn \"connectorx\\|cx.read_sql\\|read_sql\" --include=*.py. 2>/dev/null | grep -v test; echo \"=== bar_index assumptions ===\"; grep -rn \"ORDER BY bar_index\\|bar_index + 1\\|bar_index - 1\\|bar_index+1\\|bar_index-1\" --include=*.py. 2>/dev/null | grep -v test"} output={"stdout":"=== connectorx usage ===\nrebuild_orchestrator.py:4:after 2-4 combos (struck in connectorx full loads, connectorx appends, AND\ndb/arrow_loader.py:3:Uses connectorx (Rust-based) to stream data directly into Arrow memory.\ndb/arrow_loader.py:13:from signalpower.database.direct import get_connectorx_db_url\ndb/arrow_loader.py:46: db_url = get_connectorx_db_url()\ndb/arrow_loader.py:47: logger.info(\"%s via connectorx\", log_label)\ndb/arrow_loader.py:49: df = pl.read_database_uri…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/infra.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/infra.md","content":"# Infrastructure\n\n## Docker Services (docker-compose.yml — CANONICAL RUNTIME)\n\n> **docker-compose.yml is single source of truth.** If container appears in `docker ps` but not in `docker compose config --services`, it is runtime drift — treat it as orphaned/stale. `docker-compose.yaml` is for Coolify/Ubuntu only, not local runtime.\n\n| Service | Container | Port | Purpos…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/data-flow.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/data-flow.md","content":"# Zero-Copy Data Architecture\n\n## Arrow IPC Wire Format (ALL high-volume data)\n\nALL compute results travel as Arrow IPC binary streams. JSON is never used for bars, badges, signals, or trades.\n\n**Zero-copy boundaries:**\n1. PostgreSQL -> connectorx (Rust) -> Polars DataFrame (Arrow memory, no copy)\n2. Polars -> NumPy arrays (shares memory for homogeneous numeric columns…

ScheduleWakeup input={"delaySeconds":120,"reason":"Fallback while 4 audit subagents run; harness notifies on completion","prompt":"<<autonomous-loop-dynamic>>"} output={"scheduledFor":1785308700000,"clampedDelaySeconds":120,"wasClamped":false}

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading && echo \"=== BADGE_RECORD_DTYPE defs (np.dtype([) in main tree ===\" && grep -rn \"np.dtype(\\[\\|BADGE_RECORD_DTYPE =\\|BadgeDtype\\|RECORD_DTYPE =\" --include=*.py. 2>/dev/null; echo \"=== constants file ===\"; find. -path./node_modules -prune -o -name \"constants.py\" -print 2>/dev/null | grep -i indicator"} output={"stdout":"=== BADGE_RECORD_DTYPE defs (np.dtype([) in main tree ===\ntests/test_sidecar_schema_fingerprint.py:14:BADGE_RECORD_DTYPE = np.dtype(\ntests/test_indicator_cache_append_m015.py:13:BADGE_DTYPE = np.dtype([\nindicators/constants.py:58:BADGE_RECORD_DTYPE = np.dtype(\n=== constants file ===\n./indicators/constants.py","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/bars.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/routes/bars.py","content":"from __future__ import annotations\n\nimport asyncio\nimport re\nimport time\nimport pyarrow as pa\nimport polars as pl\nimport zstandard as zstd\nfrom fastapi import APIRouter, Request, Response\nfrom fastapi.responses import JSONResponse\nfrom pydantic import BaseModel\n\nfrom pipeline.cache.parquet_sidecar import read_bars_cached, _get_db_bar_stats, _parquet_row_count…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/storage/outbox_relay.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/storage/outbox_relay.py","content":"\"\"\"Outbox relay — bridges Postgres outbox table to Redis Streams.\n\nReads unsent rows from range_bar_outbox_events, XADDs them to Redis,\nthen marks them sent. This runs alongside MT5 connector because:\n\n1. relay needs Postgres access (same process already has it)\n2. relay needs Redis access (new dependency)\n3. Running it in MT5 connector…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== iter_bulk_badges_numpy def ===\" && grep -rn \"def iter_bulk_badges_numpy\" --include=*.py | grep -v worktrees && echo \"=== badge_matrix / Int8 int8 ===\" && grep -rn \"badge_matrix\\|int8\\|Int8\\|astype(np.int8)\" --include=*.py. | grep -v worktrees | grep -v test | head -40"} output={"stdout":"=== iter_bulk_badges_numpy def ===\nservices/live-trading-impl-198/pipeline/indicators/wrapper.py:560: def iter_bulk_badges_numpy(\nservices/live-trading/tests/test_arrow_serialization.py:121: def iter_bulk_badges_numpy(self, _bars_df):\nservices/live-trading/pipeline/indicators/wrapper.py:516: def iter_bulk_badges_numpy(\n_wiki_ezalgo_donotdelete/docs_SCICHARTS_CONFIG_WARPLAN/badge-pipeline-warroom/10-wrapper.py:489: def iter_bulk_badges_numpy(\n_wiki_ezalgo_donotdele…

Agent input={"description":"STALL specialist retry","prompt":"You are STALL specialist in REAL stability audit of EZAlgo futures trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nCRITICAL: This is real analysis. You MUST use Read, Grep, and Glob tools to open actual source files and verify every finding against real code. You MUST use Write tool to write output file. Do NOT answer from memory. Do NOT return without writing file. empty or tool-less response… output={"isAsync":true,"status":"async_launched","agentId":"a472665d9e3e14c86","description":"STALL specialist retry","resolvedModel":"claude-opus-4-8[1m]","prompt":"You are STALL specialist in REAL stability audit of EZAlgo futures trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nCRITICAL: This is real analysis. You MUST use Read, Grep, and Glob tools to open actual source files and verify every finding against real code. You MUST use Write tool to write t…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== key files exist? ===\" && ls -la services/live-trading/routes/calculate.py services/live-trading/routes/bars.py services/live-trading/pipeline/cache/parquet_sidecar.py services/live-trading/pipeline/cache/indicator_cache.py services/live-trading/db/arrow_loader.py 2>&1 | head; echo \"=== arrow deserializers ===\"; find. -name \"arrow-deserializer.ts\" -o -name \"trade-arrow-deserializer.ts\" 2>/dev/null; echo \"=== numba ke… output={"stdout":"=== key files exist? ===\n-rw-r--r-- 1 ezalgo ezalgo 4407 Jul 15 06:15 services/live-trading/db/arrow_loader.py\n-rw-r--r-- 1 ezalgo ezalgo 26037 Jul 15 16:14 services/live-trading/pipeline/cache/indicator_cache.py\n-rw-r--r-- 1 ezalgo ezalgo 27003 Jul 15 16:10 services/live-trading/pipeline/cache/parquet_sidecar.py\n-rw-r--r-- 1 ezalgo ezalgo 7130 Jul 3 17:07 services/live-trading/routes/bars.py\n-rw-r--r-- 1 ezalgo ezalgo 45791 Jul 27 19:21 services/live-trading/routes/calculate.…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && find services/live-trading/storage -name 'outbox_relay.py' && echo \"---\" && ls services/live-trading/routes/ 2>/dev/null && echo \"=== wc ===\" && wc -l services/live-trading/storage/outbox_relay.py services/live-trading/routes/*.py 2>/dev/null | tail -30","description":"Locate outbox relay and routes"} output={"stdout":"services/live-trading/storage/outbox_relay.py\n---\n__pycache__\nablation.py\narrow_serializer.py\navailability.py\nbars.py\ncalculate.py\nchart_stream.py\ndependencies.py\nintegrity_health.py\nlive_processor_health.py\nlogs.py\nparam_sweep.py\nparameters.py\npresets.py\nsetups.py\nsignal_events.py\nstrategies.py\nwebhook_config.py\nwebhook_health.py\n=== wc ===\n 474 services/live-trading/storage/outbox_relay.py\n 280 services/live-trading/routes/ablation.py\n 297 services/live…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== BADGE_RECORD_DTYPE / BadgeDtype ===\" && grep -rn \"BADGE_RECORD_DTYPE\\|BadgeDtype\" --include=*.py. 2>/dev/null | head -40"} output={"stdout":"=== BADGE_RECORD_DTYPE / BadgeDtype ===\nservices/live-trading-impl-198/tests/test_arrow_serialization.py:9:from routes.calculate import _serialize_arrow, BADGE_RECORD_DTYPE\nservices/live-trading-impl-198/tests/test_arrow_serialization.py:63: structured numpy arrays with BADGE_RECORD_DTYPE.\nservices/live-trading-impl-198/tests/test_arrow_serialization.py:72: assert not (isinstance(badges_list, np.ndarray) and badges_list.dtype == BADGE_RECORD_DTYPE), \\\nservices/live-trading-…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== SciChartTradingChart dispose/cleanup/useEffect return ===\" && grep -n 'dispose\\|deleteSeries\\|delete()\\|return () =>\\|useEffect\\|renderableSeries\\|\\.clear()\\|surface' components/trading/SciChartTradingChart.tsx | head -70","description":"Scan main chart component cleanup"} output={"stdout":"=== SciChartTradingChart dispose/cleanup/useEffect return ===\n5: useEffect,\n143: useEffect(() => {\n145: return () => {\n204: const { api, initChart, disposeChart } = useTradingChartSurface({\n210: useEffect(() => {\n215: useEffect(() => {\n236: useEffect(() => {\n246: // Dataset change: stage badges off-surface FIRST, then swap candles +\n252: useEffect(() => {\n257: // changes; independent effects below apply them to this same surface.\n299: withSuspendedU…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/code-style.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/code-style.md","content":"# Code Style and Workflow\n\n## TypeScript/React\n\n- **Strict mode** in `tsconfig.json`\n- **Imports**: use `@/` path alias from project root\n- **Formatting**: Prettier defaults\n- **ESLint rules**:\n - `@typescript-eslint/no-unused-vars`: warn\n - `@typescript-eslint/no-explicit-any`: warn\n - `react-compiler/react-compiler`: warn (experimental)\n - `react-hooks/static…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/infra.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/infra.md","content":"# Infrastructure\n\n## Docker Services (docker-compose.yml — CANONICAL RUNTIME)\n\n> **docker-compose.yml is single source of truth.** If container appears in `docker ps` but not in `docker compose config --services`, it is runtime drift — treat it as orphaned/stale. `docker-compose.yaml` is for Coolify/Ubuntu only, not local runtime.\n\n| Service | Container | Port | Purpos…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/indicators.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/indicators.md","content":"# 20 Indicators\n\nAll indicators use SCREAMING_SNAKE_CASE naming:\n\nALPHA, AST, BAYES, CHAND, CRUDE, DSST, HULL, KYLE, LUX, MOFLIP, MOMOX, QRIBBON, QUAD, SHA, STEP, TPRSI, TTM, TREND_STRENGTH, UT, VIDYA\n\n## Key Indicator Files\n\n- `SignalPowerPython/signalpower/indicators/numba_kernels.py` — 53 @njit functions (2842 lines). All 20 indicator math kernels.\n- `SignalPowerP…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/data-flow.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/data-flow.md","content":"# Zero-Copy Data Architecture\n\n## Arrow IPC Wire Format (ALL high-volume data)\n\nALL compute results travel as Arrow IPC binary streams. JSON is never used for bars, badges, signals, or trades.\n\n**Zero-copy boundaries:**\n1. PostgreSQL -> connectorx (Rust) -> Polars DataFrame (Arrow memory, no copy)\n2. Polars -> NumPy arrays (shares memory for homogeneous numeric columns…

Agent input={"description":"DATA specialist retry","prompt":"You are DATA specialist in REAL stability audit of EZAlgo futures trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nCRITICAL: This is real analysis. You MUST use Read, Grep, and Glob tools to open actual source files and verify every finding against real code. You MUST use Write tool to write output file. Do NOT answer from memory. Do NOT return without writing file. empty or tool-less respon… output={"isAsync":true,"status":"async_launched","agentId":"aa85938cb768d66a5","description":"DATA specialist retry","resolvedModel":"claude-opus-4-8[1m]","prompt":"You are DATA specialist in REAL stability audit of EZAlgo futures trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nCRITICAL: This is real analysis. You MUST use Read, Grep, and Glob tools to open actual source files and verify every finding against real code. You MUST use Write tool to write …

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/indicators/numba_kernels.py","limit":400} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/indicators/numba_kernels.py","content":"\"\"\"\nNumba-Accelerated Kernels for Indicators\n\nAll loop-heavy indicator calculations are compiled with @njit for 52x speedup.\nImport these functions into indicators instead of using inline Python loops.\n\nPERFORMANCE: These kernels run at C speed, not Python speed.\n\"\"\"\n\nfrom dataclasses import dataclass\nimport logging\nfrom threading im…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/chart/controllers/TradeLayerController.ts"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/chart/controllers/TradeLayerController.ts","content":"import type { SciChartSurface, TSciChart } from 'scichart'\nimport { createTradeSeries, type TradeSeriesResult } from '../createTradeSeries'\nimport type { TradeMarkerData } from '@/types/engineState'\nimport { withSuspendedUpdates } from '../withSuspendedUpdates'\n\nexport interface TradeLayerControllerDeps {\n surface: SciChartSurface\n wasmContext: TSciChar…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/chart/controllers/BadgeLayerController.ts"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/chart/controllers/BadgeLayerController.ts","content":"import type { SciChartSurface, TSciChart } from 'scichart'\nimport {\n XyDataSeries,\n XyScatterRenderableSeries,\n SpritePointMarker,\n} from 'scichart'\nimport type { SciBadgeOverlay } from '../scichart-types'\nimport type { BadgeHitResult } from '../BadgeHitTestModifier'\nimport { BadgeHitTestModifier } from '../BadgeHitTestModifier'\nimport {\n type Badg…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && ls lib/chart/ lib/chart/controllers/ 2>/dev/null && echo \"=== createBadge/Trade ===\" && ls lib/chart/*.ts | grep -iE 'badge|trade|Layer' && echo \"=== delete()/deleteSeries near renderableSeries ===\" && grep -rn 'deleteSeries\\|\\.delete()\\|renderableSeries' lib/chart --include='*.ts' | grep -v '__tests__' | head -60","description":"List chart lib and disposal calls"} output={"stdout":"lib/chart/:\nBadgeHitTestModifier.ts\nBadgeOverlayRegistry.ts\n__tests__\nautoScroll.ts\nbadgeHitTestMath.ts\nbadgeMarkers.ts\nbadgeRuntime.ts\nchartDataSeries.ts\nchartModifiers.ts\ncontrollers\ncreateBadgeSeries.ts\ncreateTradeSeries.ts\ndateRangeSelection.ts\ndebugVisibleRange.ts\nextractPartialBar.ts\nindicatorColors.ts\ninspectCardPosition.ts\nloadChartData.ts\nparseBarFields.ts\nresidentBadgeWindow.ts\nscichart-types.ts\ntradingChartRuntime.ts\nviewportRangeIndex.ts\nvolumeAxis.…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/utils/technicals_fast.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/SignalPowerPython/signalpower/utils/technicals_fast.py","content":"\"\"\"\nFAST Technical Indicators Library - Numba JIT Compiled\n\nALL functions are compiled to machine code via Numba @njit.\nTypical speedup: 20-50x compared to pure Python.\n\nThis replaces technicals.py - same API, massively faster.\n\"\"\"\n\nimport numpy as np\nfrom numba import njit\nfrom typing import Tuple\n\n\ndef _to_array(data) -> np.ndarray…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== numba_kernels ===\" && find. -name \"numba_kernels.py\" 2>/dev/null && echo \"=== technicals_fast ===\" && find. -name \"technicals_fast.py\" 2>/dev/null && echo \"=== cache directory ===\" && find. -path \"*pipeline/cache*\" -name \"*.py\" 2>/dev/null && echo \"=== calculate route ===\" && find. -name \"calculate.py\" -path \"*routes*\" 2>/dev/null && echo \"=== bulk badges ===\" && grep -rl \"iter_bulk_badges_numpy\" --inclu… output={"stdout":"=== numba_kernels ===\n./SignalPowerPython/signalpower/indicators/numba_kernels.py\n./.worktrees/impl/issue-231/SignalPowerPython/signalpower/indicators/numba_kernels.py\n./.worktrees/impl/issue-177/SignalPowerPython/signalpower/indicators/numba_kernels.py\n./.worktrees/impl/issue-238/SignalPowerPython/signalpower/indicators/numba_kernels.py\n./.worktrees/impl/issue-165/SignalPowerPython/signalpower/indicators/numba_kernels.py\n./.worktrees/impl/issue-181/SignalPowerPython/signalpower…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== ChartErrorBoundary usages ===\" && grep -rn 'ChartErrorBoundary' application components --include='*.tsx' | grep -v '__tests__\\|ChartErrorBoundary.tsx' && echo \"=== SciChartTradingChart mount sites ===\" && grep -rn 'SciChartTradingChart' application components --include='*.tsx' | grep -v '__tests__\\|SciChartTradingChart.tsx'","description":"Read chartDataSeries and find error boundary usage"} output={"stdout":"=== ChartErrorBoundary usages ===\napp/strategy/[id]/page.tsx:64:import { ChartErrorBoundary } from \"@/components/trading/ChartErrorBoundary\";\napp/strategy/[id]/page.tsx:2139: <ChartErrorBoundary>\napp/strategy/[id]/page.tsx:2161: </ChartErrorBoundary>\n=== SciChartTradingChart mount sites ===\ncomponents/trading/ChartErrorBoundary.tsx:14: * <SciChartTradingChart... />\napp/strategy/[id]/page.tsx:24:const SciChartTradingChart = dynamic(\napp/s…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter/.planning/stability-audit\nfor f in CRASH.md DATA.md STALL.md SILENCE.md; do\n if [ -f \"$f\" ]; then echo \"$f: $(wc -l < $f) lines\"; else echo \"$f: MISSING\"; fi\ndone","description":"Check which audit documentation landed"} output={"stdout":"CRASH.md: MISSING\nDATA.md: MISSING\nSTALL.md: MISSING\nSILENCE.md: MISSING","stderr":"\nShell cwd was reset to /home/ezalgo/.aionui-web/conversations/2026/07/29/claude-temp-76142976","interrupted":false,"isImage":false,"noOutputExpected":false}

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/chart/chartDataSeries.ts"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/chart/chartDataSeries.ts","content":"import type { OhlcDataSeries, XyDataSeries } from \"scichart\";\nimport type { ChartData, LiveBar } from \"./scichart-types\";\n\nconst LIVE_CHART_DEBUG =\n typeof window!== \"undefined\" &&\n new URLSearchParams(window.location.search).has(\"debug_chart\");\n\nfunction logChartDataSeries(label: string, data?: unknown): void {\n if (!LIVE_CHART_DEBUG) {\n return;\n }\n\n…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/code-style.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/code-style.md","content":"# Code Style and Workflow\n\n## TypeScript/React\n\n- **Strict mode** in `tsconfig.json`\n- **Imports**: use `@/` path alias from project root\n- **Formatting**: Prettier defaults\n- **ESLint rules**:\n - `@typescript-eslint/no-unused-vars`: warn\n - `@typescript-eslint/no-explicit-any`: warn\n - `react-compiler/react-compiler`: warn (experimental)\n - `react-hooks/static…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/infra.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/infra.md","content":"# Infrastructure\n\n## Docker Services (docker-compose.yml — CANONICAL RUNTIME)\n\n> **docker-compose.yml is single source of truth.** If container appears in `docker ps` but not in `docker compose config --services`, it is runtime drift — treat it as orphaned/stale. `docker-compose.yaml` is for Coolify/Ubuntu only, not local runtime.\n\n| Service | Container | Port | Purpos…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/data-flow.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/data-flow.md","content":"# Zero-Copy Data Architecture\n\n## Arrow IPC Wire Format (ALL high-volume data)\n\nALL compute results travel as Arrow IPC binary streams. JSON is never used for bars, badges, signals, or trades.\n\n**Zero-copy boundaries:**\n1. PostgreSQL -> connectorx (Rust) -> Polars DataFrame (Arrow memory, no copy)\n2. Polars -> NumPy arrays (shares memory for homogeneous numeric columns…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/indicators.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/indicators.md","content":"# 20 Indicators\n\nAll indicators use SCREAMING_SNAKE_CASE naming:\n\nALPHA, AST, BAYES, CHAND, CRUDE, DSST, HULL, KYLE, LUX, MOFLIP, MOMOX, QRIBBON, QUAD, SHA, STEP, TPRSI, TTM, TREND_STRENGTH, UT, VIDYA\n\n## Key Indicator Files\n\n- `SignalPowerPython/signalpower/indicators/numba_kernels.py` — 53 @njit functions (2842 lines). All 20 indicator math kernels.\n- `SignalPowerP…

Agent input={"description":"SILENCE stability specialist","prompt":"You are SILENCE specialist in stability audit of EZAlgo futures trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nYour mission: \"What returns WRONG answers without any error?\" most dangerous class — no crash, no error log, no timeout, silently wrong signals driving trading decisions. Do REAL analysis with Read/Grep/Glob — do not invent findings.\n\nBEFORE hunting, read:.agents/reference/indicat… output={"isAsync":true,"status":"async_launched","agentId":"a9180afa3aef4a693","description":"SILENCE stability specialist","resolvedModel":"claude-opus-4-8[1m]","prompt":"You are SILENCE specialist in stability audit of EZAlgo futures trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nYour mission: \"What returns WRONG answers without any error?\" most dangerous class — no crash, no error log, no timeout, silently wrong signals driving trading decisions. Do R…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/components/trading/ChartErrorBoundary.tsx"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/components/trading/ChartErrorBoundary.tsx","content":"\"use client\";\n\n/**\n * Chart-Level Error Boundary (#316)\n *\n * Class-based boundary dedicated to SciChart trading chart. JS error\n * anywhere in chart subtree renders compact dark-theme fallback\n * instead of blanking whole page. \"Reload chart\" clears error and\n * bumps internal key so chart subtree fully remounts (crashed WebGL…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/mt5_connector.py"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/mt5_connector.py","content":"\"\"\"LiveTradingService -- MT5 ticks -> Rust RangeBarBuilder -> ezalgo_range_bars table.\n\nARCHITECTURE (single calculation path):\n This service ONLY produces range bars from MT5 ticks and writes them to \n `ezalgo_range_bars` database table. That is its entire job. It does NOT compute\n indicators, badges, signals, or stats. All calculation happens thro…

Agent input={"description":"STALL stability specialist","prompt":"You are STALL specialist in stability audit of EZAlgo futures trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nYour mission: \"What freezes, timeouts, or exhausts resources?\" Hunt every path that can freeze UI, timeout request, exhaust memory/disk/connections, or cause unbounded growth. Do REAL analysis with Read/Grep/Glob — do not invent findings.\n\nBEFORE hunting, read:.agents/reference/data-flow… output={"isAsync":true,"status":"async_launched","agentId":"a73850d45be0d0d84","description":"STALL stability specialist","resolvedModel":"claude-opus-4-8[1m]","prompt":"You are STALL specialist in stability audit of EZAlgo futures trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nYour mission: \"What freezes, timeouts, or exhausts resources?\" Hunt every path that can freeze UI, timeout request, exhaust memory/disk/connections, or cause unbounded growth. Do REA…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/chart/controllers/ChartDatasetController.ts"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/lib/chart/controllers/ChartDatasetController.ts","content":"import type { SciChartSurface, TSciChart } from 'scichart'\nimport { ChartDataSeries } from '../chartDataSeries'\nimport { loadChartData } from '../loadChartData'\nimport type { ChartData, LiveBar } from '../scichart-types'\nimport { withSuspendedUpdates } from '../withSuspendedUpdates'\n\nfunction binarySearchTimestamp(timestamps: Float64Array, target: number…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/bars/rust_builder/src/lib.rs"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/services/live-trading/bars/rust_builder/src/lib.rs","content":"//! PyO3 range bar builder implementing NinjaTrader algorithm.\n//!\n//! Key properties:\n//! - All bars are EXACTLY `range_points` tall (body = close - open for bull, open - close for bear)\n//! - Phantom (virtual) bars fill multi-range gaps with volume=0\n//! - Wicks record actual tick extremes beyond clamped body\n//! - Prices are snapped to tick…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && echo \"=== rust_builder ===\" && find services -path '*rust_builder*' -name '*.rs' 2>/dev/null && echo \"=== chart TS ===\" && find components lib -iname '*scichart*' -o -iname '*chart*' 2>/dev/null | grep -iE 'chart|scichart' | head -40 && echo \"=== mt5 connector ===\" && find services -iname '*mt5*' 2>/dev/null && echo \"=== error boundaries ===\" && grep -rl 'ErrorBoundary\\|componentDidCatch\\|getDerivedStateFromError' components … output={"stdout":"=== rust_builder ===\nservices/live-trading-impl-198/bars/rust_builder/src/lib.rs\nservices/live-trading/bars/rust_builder/src/lib.rs\n=== chart TS ===\ncomponents/chart\nlib/scichart\nlib/strategy-chart-url.ts\nlib/chart-perf.ts\nlib/chart\ncomponents/__tests__/ChartErrorBoundary.test.tsx\ncomponents/trading/SciChartTradingChart.tsx\ncomponents/trading/ChartErrorBoundary.tsx\ncomponents/chart/SciChartGate.tsx\nlib/scichart/initSciChart.ts\nlib/chart/scichart-types.ts\nlib/chart/chart…

Agent input={"description":"DATA stability specialist","prompt":"You are DATA specialist in stability audit of EZAlgo futures trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nYour mission: \"What corrupts, loses, or misaligns data?\" Hunt every path that can corrupt data, lose data, produce wrong Arrow schemas, or create orphaned records. Do REAL analysis with Read/Grep/Glob — do not invent findings.\n\nBEFORE hunting, read:.agents/reference/data-flow.md,.agents/referen… output={"isAsync":true,"status":"async_launched","agentId":"a24f7edfa0d76966b","description":"DATA stability specialist","resolvedModel":"claude-opus-4-8[1m]","prompt":"You are DATA specialist in stability audit of EZAlgo futures trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nYour mission: \"What corrupts, loses, or misaligns data?\" Hunt every path that can corrupt data, lose data, produce wrong Arrow schemas, or create orphaned records. Do REAL analysis with Read…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/code-style.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/code-style.md","content":"# Code Style and Workflow\n\n## TypeScript/React\n\n- **Strict mode** in `tsconfig.json`\n- **Imports**: use `@/` path alias from project root\n- **Formatting**: Prettier defaults\n- **ESLint rules**:\n - `@typescript-eslint/no-unused-vars`: warn\n - `@typescript-eslint/no-explicit-any`: warn\n - `react-compiler/react-compiler`: warn (experimental)\n - `react-hooks/static…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/infra.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/infra.md","content":"# Infrastructure\n\n## Docker Services (docker-compose.yml — CANONICAL RUNTIME)\n\n> **docker-compose.yml is single source of truth.** If container appears in `docker ps` but not in `docker compose config --services`, it is runtime drift — treat it as orphaned/stale. `docker-compose.yaml` is for Coolify/Ubuntu only, not local runtime.\n\n| Service | Container | Port | Purpos…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/chart-scichart.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/chart-scichart.md","content":"# Chart System (SciChart WebGL)\n\n**Library:** SciChart v5 (`scichart` + `scichart-react`) — NOT Lightweight Charts or TradingView.\n**WASM:** `/wasm/scichart2d.wasm`, eagerly initialized at application startup.\n\n## Key Files\n\n- `components/trading/SciChartTradingChart.tsx` (1203 lines) — main chart: candlesticks, badge scatter layers, trade markers\n- `providers/scichart-pr…

Read input={"file_path":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/data-flow.md"} output={"type":"text","file":{"filePath":"/home/ezalgo/workspace/ezalgoCommandCenter/.agents/reference/data-flow.md","content":"# Zero-Copy Data Architecture\n\n## Arrow IPC Wire Format (ALL high-volume data)\n\nALL compute results travel as Arrow IPC binary streams. JSON is never used for bars, badges, signals, or trades.\n\n**Zero-copy boundaries:**\n1. PostgreSQL -> connectorx (Rust) -> Polars DataFrame (Arrow memory, no copy)\n2. Polars -> NumPy arrays (shares memory for homogeneous numeric columns…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter && ls -la && echo \"---REFERENCE---\" && ls -la.agents/reference/ 2>/dev/null && echo \"---PLANNING---\" && ls -la.planning/stability-audit/ 2>/dev/null","description":"List repository root and reference documentation"} output={"stdout":"total 1844\ndrwxr-xr-x 52 ezalgo ezalgo 4096 Jul 29 06:01.\ndrwxr-xr-x 66 ezalgo ezalgo 4096 Jun 27 21:47..\ndrwxr-xr-x  5 ezalgo ezalgo 4096 May 30 19:54.agent\ndrwxr-xr-x 11 ezalgo ezalgo 4096 Jul 7 07:26.agents\ndrwxr-xr-x  3 ezalgo ezalgo 4096 Jul 1 02:00.aionrs\ndrwxr-xr-x  3 ezalgo ezalgo 4096 May 30 19:54.augment\ndrwxr-xr-x  4 ezalgo ezalgo 4096 Jul 5 03:19.claude\ndrwxr-xr-x  3 ezalgo ezalgo 4096 Jul 15 16:31.codex\ndrwxrwxr-x  3 ezalgo ezalgo 409…

Agent input={"description":"CRASH stability specialist","prompt":"You are CRASH specialist in stability audit of EZAlgo futures trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nYour mission: \"What kills process?\" Hunt every path that can crash service, kill process, or render UI inoperable. Do REAL analysis by reading actual source files with Read/Grep/Glob — do not invent findings.\n\nBEFORE hunting, read these reference documentation (they exist under repository):\n-… output={"isAsync":true,"status":"async_launched","agentId":"adb567db5db1dac45","description":"CRASH stability specialist","resolvedModel":"claude-opus-4-8[1m]","prompt":"You are CRASH specialist in stability audit of EZAlgo futures trading platform. Repository root: /home/ezalgo/workspace/ezalgoCommandCenter\n\nYour mission: \"What kills process?\" Hunt every path that can crash service, kill process, or render UI inoperable. Do REAL analysis by reading actual source files with Read/Gre…

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter\nmkdir -p.planning/stability-audit\nrm -f.planning/stability-audit/CRASH.md.planning/stability-audit/DATA.md.planning/stability-audit/STALL.md.planning/stability-audit/SILENCE.md\necho \"cleared. directory:\"; ls -1.planning/stability-audit/","description":"Clear old audit documentation for clean scan"} output={"stdout":"cleared. directory:\nfile_issues.sh\nissues\nnewissues","stderr":"\nShell cwd was reset to /home/ezalgo/.aionui-web/conversations/2026/07/29/claude-temp-76142976","interrupted":false,"isImage":false,"noOutputExpected":false}

Bash input={"command":"cd /home/ezalgo/workspace/ezalgoCommandCenter\necho \"=== remote ===\"; git remote get-url origin 2>&1\necho \"=== branch ===\"; git branch --show-current 2>&1\necho \"=== gh authentication ===\"; gh authentication status 2>&1 | head -5\necho \"=== existing planning directory ===\"; ls -la.planning/stability-audit/ 2>&1 | head\necho \"=== reference documentation present? ===\"; ls -1.agents/reference/ 2>&1 | head\necho \"=== key files ===\"; find. -maxdepth 4 \\( -name \"numba_kernels.py\" -o -name \"lib.rs\" -o -n… output={"stdout":"=== remote ===\nhttps://github.com/turnupdigital/ezalgoCommandCenter.git\n=== branch ===\nmain\n=== gh authentication ===\ngithub.com\n ✓ Logged in to github.com account turnupdigital (/home/ezalgo/.config/gh/hosts.yml)\n - Active account: true\n - Git operations protocol: https\n - Token: gho_************************************\n=== existing planning directory ===\ntotal 104\ndrwxr-xr-x 4 ezalgo ezalgo 4096 Jul 26 07:25.\ndrwxr-xr-x 5 ezalgo ezalgo 4096 Jul 20 07:00..\n-rw-r--r-- 1 ezalgo e…

Bash input={"command":"for d in ~/ezalgoCommandCenter ~/EZAlgo ~/ezalgo ~/projects ~/code ~/repos ~/src; do [ -d \"$d\" ] && echo \"EXISTS: $d\"; done\necho \"--- home directories ---\"\nls -1d ~/*/ 2>/dev/null | head -50\necho \"--- find git repositories containing rust_builder or numba_kernels ---\"\nfind ~ -maxdepth 5 -name \"numba_kernels.py\" 2>/dev/null | head\nfind ~ -maxdepth 5 -type d -name \".git\" 2>/dev/null | head -30","description":"Locate EZAlgo repository on disk"} output={"stdout":"--- home directories ---\n/home/ezalgo/Star-Office-UI/\n/home/ezalgo/actions-runner/\n/home/ezalgo/aionui-update-2.1.36-stage/\n/home/ezalgo/backtests/\n/home/ezalgo/bin/\n/home/ezalgo/data/\n/home/ezalgo/gems/\n/home/ezalgo/gitnexus-docker/\n/home/ezalgo/gitnexus-service-fixed/\n/home/ezalgo/gitnexus-setup/\n/home/ezalgo/jekyll-knowledge/\n/home/ezalgo/tmp_check/\n/home/ezalgo/workspace/\n--- find git repositories containing rust_builder or numba_kernels ---\n/home/ezalgo/.nvm/.git\n/home/ezalgo/S…

Skill input={"skill":"stability-audit"} output={"success":true,"commandName":"stability-audit"}

[Assistant Rules]
You are **Stability Audit**, AionUi assistant.
# Your job
Run deep stability audits of local software repository and file each finding as GitHub issue, so those issues flow into existing forge pipeline (issue -> plan -> implement -> PR -> review -> merge). This forms self-improving loop: audit finds bugs -> issues -> fixed -> next audit finds new bugs -> loop.
# What you do NOT do
- You do NOT implement fixes. forge pipeline handles that.
- You do NOT manage Baserow pipeline, forge crons, or any other agent's configuration.
- You do NOT narrate or simulate audit. audit is real deep analysis run executed by 4 specialist subagents via `Spawn` tool. You never hunt bugs yourself, and you never describe findings from memory.
# Opening behavior
When conversation starts (or when you are invoked without specific instruction), your first action is to ask user whether they are ready for another stability report on local repository. Confirm which local repository is in scope ( repository at current working directory / AionUi conversation context — NOT path hardcoded in skill) before kicking off scan. Do not assume repository; confirm it.

Example opener:
"Ready for another stability report? local repository in scope is `<cwd git remote>`. Want me to kick off fresh audit now, or refresh / view existing findings?"
# How an audit run works
Follow `stability-audit` skill exactly. key points:
1. skill's 4 specialist agents (CRASH, DATA, STALL, SILENCE) do ALL bug hunting. You are orchestrator, not hunter.
2. You MUST invoke `Spawn` tool with 4 tasks in single call. This is real automated deep analysis run that takes few minutes. Do not simulate it, do not narrate it, do not summarize findings from memory. If `Spawn` is not available, STOP and report that audit could not run.
3. Wait for 4 specialist subagents to finish and write their MD documentation to `.planning/stability-audit/` (CRASH.md, DATA.md, STALL.md, SILENCE.md).
4. Verify those 4 real files exist on disk with line counts > 50. If any is missing or too short, report which class failed — do not invent findings.
5. Present findings summary parsed from real MD files.
6. File each finding as GitHub issue, one-by-one, using `gh issue create` against local git repository's GitHub remote. Before creating issue, search for existing open issue with same file+title and skip if found (this is loop — avoid re-filing same bug on repeat audits). Attach `stability-audit` label (create it on fly if missing). Report each issue number and URL.
7. Present final summary: total findings by class, total issues filed, total duplicates skipped, issue URLs.
# Repo scope
target repository is **local git repository at current working directory**, determined from AionUi conversation/assistant context — it is NOT hardcoded in skill. You determine GitHub owner/name from `git remote get-url origin` at runtime.
# Labels
Default label: `stability-audit`. Per-severity labels are optional and, if used, are configured at assistant level — not baked into skill. If not configured, use only `stability-audit`.
# Communication
- Plain, direct, engineering-grade language. You serve developers managing AionUi and trading codebase; technical terms (Spawn, Arrow IPC, connectorx, Baserow, GitHub issue) are appropriate.
- For every audit run, user sees: what was scanned -> 4 documentation produced -> issues filed (with URLs) -> duplicates skipped.
- Never expose secrets. If finding or repository contains credentials, redact them.
- Scheduled task terminology: user refers to scheduled tasks as "scheduled tasks", not "crons". Respect this.
[/Assistant Rules]

[Scheduled Task Context]
Task: Stability Audit — ezalgoCommandCenter
Schedule: Every day at 03:00
Rules:
1. Execute task directly — do NOT ask clarifying questions.
2. Focus on producing useful, actionable output.
3. If task requires external data (news, weather, etc.), search for latest information.
4. After completing task above, create file named "SKILL_SUGGEST.md" in current working directory (see instructions at end).
[/Scheduled Task Context]

Run fresh stability audit on local repository now. Do not wait for confirmation — proceed straight through full skill workflow:
1. Ensure.planning/stability-audit/ exists (create if missing; if it already holds previous run's documentation, overwrite them for clean scan).
2. Spawn all 4 specialist subagents (CRASH, DATA, STALL, SILENCE) in single Spawn tool call — this is real deep analysis, not narration. Wait for them to finish.
3. Verify all 4 MD documentation landed on disk with real content (>50 lines each). Report any class that failed — do not invent findings.
4. Present findings summary parsed from real MD files.
5. File each finding as GitHub issue in local repository's GitHub remote (owner/name from git remote get-url origin). Before creating each issue, you MUST check for duplicates using BOTH title AND content matching:
. Title check: search for existing OPEN issue with same file+title and skip if found.
b. Content check: search for existing OPEN issues that mention same file path. For each match, compare root cause / trigger description — if new finding describes SAME defect as existing issue (same file, same failure mode, 60% or higher word overlap in trigger description), SKIP it. It is duplicate.
c. Filing same root defect under different "Class" label (CRASH vs DATA vs STALL vs SILENCE) is STILL duplicate. Class is categorization, not new defect. If only difference is Class label, it is duplicate and must be skipped.
Use stability-audit label (create it on fly if it doesn't exist). Report each issue number and URL, and each duplicate skipped.
6. End with final summary: total findings by class, issues filed, duplicates skipped, issue URLs.

Repository scope: local git repository at current working directory. Do not assume path — read it from working context.

---

[Post-Task] After you have fully completed task above, create file named "SKILL_SUGGEST.md" in current working directory to help future runs stay consistent. file should follow this format:
```markdown
---
name: <short kebab-case name, e.g. daily-greeting>
description: <one-line description of what this task does>
---

<Instructions capturing the pattern you used: output format, tone, sources checked, steps taken, quality criteria. Use concrete details from this execution, not placeholders.>
```
If you think task is too simple or one-off to benefit from skill file, you can skip this step.