Remove dead code: legacy config fields, unused helpers/imports, stray files
- Delete test_ws_dual.py (standalone probe, unused) and a stale tracked log - config.py: drop MarketSession enum, is_jpy_pair, candle_buffer_seconds, and the never-read legacy SignalConfig/XauStrategyConfig fields - data_provider.py: drop uncalled get_latest_price/get_spread_estimate - Remove unused imports (engine, telegram_bot, main, news_engine) - test_all.py: drop/trim the corresponding defaults assertions (199 tests) - CLAUDE.md updated to match Zero behavior change: no production code read any removed field (verified reference-by-reference); suite green at 199/199. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01VPNF37MP9Kuv62B1VBrZ1b
This commit is contained in:
Harwinder Sekhon
@@ -24,13 +24,12 @@ This file is the authoritative developer/agent reference. The human-facing docs
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| `pair_signals/__init__.py` | 52 | `PAIR_PRODUCERS` registry + `produce_signal()` |
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| `pair_signals/xauusd.py` | 71 | XAU config factory + per-timeframe overrides (docstring = validation record) |
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| `main.py` | ~348 | CLI: `python main.py --pair XAUUSD --timeframe H1 --detail/--json` |
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| `test_all.py` | ~2100 | QA suite: **200 tests in 13 modules**, no live API needed. Must stay green. |
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| `test_all.py` | ~2800 | QA suite: **199 tests in 13 modules**, no live API needed. Must stay green. |
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| `backtest/gpu_backtest.py` | ~2231 | Bar-replay backtester (CuPy→NumPy fallback) using the real `SignalAggregator` |
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| `backtest/diagnose_filters.py` | 609 | Filter-diagnosis tooling |
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| `backtest/research/` | — | Calendar research infra (`ff_calendar_scraper.py`, `calendar_store.py`) + result CSVs |
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| `backtest/*.csv` | — | Verification trade books from past tuning campaigns (`xau_*.csv`, …). **Gitignored, local-only** — used for manual before/after comparison, not by tests |
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| `backtest/cache/` | — | Parquet OHLCV cache (raw bars) |
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| `test_ws_dual.py` | 108 | Standalone WebSocket dual-connection probe |
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| `logs/telegram.log` | — | Bot log (midnight rotation, 30 backups) |
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---
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@@ -83,7 +82,6 @@ EMA 9/21/50/200 (`ema_mode`: `"4ema"` default or `"2ema"` = 50/200 only); RSI 14
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| `tp_floor_rr` | 0.5 | TP1 floor as fraction of SL distance (M15 factory overrides to 1.0) |
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| `trail_arm_r` / `trail_dist_r` | 0.6 / 0.75 | trailing exit: once favorable excursion ≥ arm×risk, stop trails dist×risk behind best price (bar-close updates). TP1 becomes advisory. Validated on 12mo M5: +105R vs +48R static. 0 disables |
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| `pb_trail_arm_r` / `pb_trail_dist_r` | 0.8 / 0.75 | trailing params for XAU_PB pullback trades (tighter stops → arm later) |
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| `weights`, `min_confidence`, `cooldown_bars`, `default_risk_pct`, `default_rr_ratio`, `atr_sl_multiplier` | — | **LEGACY / UNUSED** outside tests. The engine has its own weights; backtest cooldown lives in `BacktestConfig` |
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### NewsConfig
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Tracked currencies `["USD","XAU"]`; pre-event buffer 30 min, post-event 15 min (45 min after a *surprise* print); `event_risk_caps_signals=False` — **XAU default: event risk warns but does NOT cap confidence** (2026-07-11 audit: the caps suppressed trades worth +4.6..+7.2R/yr; XAU trades near USD releases outperform); `sentiment_affects_signals=False` — **headline sentiment is informational only** (warnings still emitted; the +5 alignment bonus and 10-pt `news_conflict` penalty are gated off, so live decisions are pure technical, matching backtests). Context cache TTL 600 s (must stay < pre-event buffer). 4 RSS feeds (investinglive, FXStreet, Google-News gold query, CNBC economy).
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@@ -104,13 +102,11 @@ Tracked currencies `["USD","XAU"]`; pre-event buffer 30 min, post-event 15 min (
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| M5 pullback (XAU_PB) | | `m5_pullback_enabled=True`; min score 15 (lower than gate 1 BY DESIGN — mid-pullback scores weaker); ADX ≥ 20; RSI zones BUY (35,62) / SELL (38,65); retrace depth 0.8–6.0 ATR from the 40-bar swing extreme; band touch within 3 bars. Validated +38.3R/254 trades on 12mo |
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| Chart patterns (XAU_CP) | `cp_enabled=False` | `cp_*` fields: pattern list, lookback 72, swing window 3, recency 20, double tolerance 0.5 ATR, height 1.5–8 ATR, H&S head ≥0.5 ATR / shoulder tol 1.0 ATR, flag pole ≥3 ATR in ≤12 bars, flag 3–12 bars retracing 10–50%. Textbook defaults, NOT tuned. **Default OFF** — M5 factory enables BUY-only (`inv_hs`, `double_bottom`, `bull_flag`); M15/H1/H4 remain disabled (all failed OOS validation 2026-07-16). Bearish patterns (`hs_top`, `double_top`, `bear_flag`) dropped: SELL CP lost −3.21R on OOS, −4.52R on M15 5yr |
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Legacy fields kept for config-shape compatibility: `rsi_entry_threshold`, `min_ema200_tfs`, `allow_generic_trades`, `buy_threshold_boost`, `m5_confirmation_bars`, `h4_rsi_gate=False`, `h1_macd_gate=False`, `rsi_zone` — not wired to current gates.
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### FilterConfig (`config.backtest` — despite the name it applies LIVE too)
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`session_filter=True`, window 03:00–23:00 UTC, `blocked_hours_utc` mirrors XAU's list (non-XAU pairs read this copy), `allowed_weekdays` Mon–Fri+Sun. `regime_filter=False` (optional H4-ADX≥25 gate, off).
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### PlatformConfig (top level)
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`symbol="XAU/USD"`, primary TF H1, confirmations [M15, H4], `data_lookback_days=60`, `scan_pairs=[XAUUSD]` (mirrors config.json `scanning.pairs` — see below), `scan_timeframes=[M5,M15,H1,H4]`, `candle_buffer_seconds=10`, `ws_cooldown_seconds=300`.
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`symbol="XAU/USD"`, primary TF H1, confirmations [M15, H4], `data_lookback_days=60`, `scan_pairs=[XAUUSD]` (mirrors config.json `scanning.pairs` — see below), `scan_timeframes=[M5,M15,H1,H4]`, `ws_cooldown_seconds=300`.
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Per-pair base blocked hours plus `scan_pairs`/`scan_timeframes` overlay from config.json via `app_config.apply_pair_overrides`, applied in the pair factory BEFORE per-TF deltas. Credentials, alert quality, and log level never touch `PlatformConfig` — `telegram_bot.py` and `data_provider.py` read them directly from `app_config.get_app_config()` and its resolvers. `scanning.pairs` in config.json is the deployment switch for what the bot scans — `PlatformConfig.scan_pairs` just carries the resolved value.
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@@ -243,7 +239,6 @@ Two entry points:
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- **Freshness** (`_is_data_fresh`): last bar older than 3× candle duration → stale (warns; live path suppresses signal if the PRIMARY TF is stale). Weekends exempt (Fri 22:00→Sun 22:00 UTC).
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- **`_validate_and_clean`**: drop all-NaN rows → ffill (limit 3) → drop NaN closes → sort + dedupe (keep last) → drop future timestamps (>now+5 min) → repair OHLC inconsistencies (High=max, Low=min of O/C/existing) → remove >10σ return outliers (spike bar only — the opposite-direction snap-back bar right after it is kept, else every spike punched a two-bar hole) → warn if < ~210 bars.
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- `outputsize = max(300, min(days×bars_per_day+20, 5000))`; TD caps at 5000/call (the backtester paginates by date).
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- `get_latest_price` / `get_spread_estimate` (median M5 High−Low) helpers.
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---
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@@ -362,4 +357,4 @@ Dependencies (`requirements.txt`): numpy, pandas, requests, twelvedata, python-t
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7. **Don't zero/disable indicators via config in production paths** — `disabled_indicators` exists for experiments; composite thresholds assume the full set.
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8. **The forming candle must stay dropped** and analysis must only ever see closed bars, or live signals repaint.
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9. Keep `test_all.py` green (`python test_all.py`); extend it for every new gate/knob.
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10. Legacy/no-op config fields exist (flagged above) — do not build new logic on them; delete only with test updates.
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10. Dead/legacy config fields were removed 2026-07-21 (`MarketSession`, `is_jpy_pair`, `candle_buffer_seconds`, the unused `SignalConfig`/`XauStrategyConfig` legacy knobs). Do not add config fields that nothing reads; delete dead fields only with test updates.
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@@ -27,14 +27,6 @@ class SignalStrength(Enum):
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STRONG_SELL = -2
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class MarketSession(Enum):
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SYDNEY = "sydney"
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TOKYO = "tokyo"
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LONDON = "london"
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NEW_YORK = "new_york"
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OVERLAP_LONDON_NY = "london_ny_overlap"
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# ── Supported pairs ──────────────────────────────────────────────
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XAUUSD = "XAU/USD"
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@@ -42,7 +34,7 @@ XAUUSD = "XAU/USD"
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# default_spread: round-trip cost per trade in price units, charged by
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# the backtester when --spread is not given.
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PAIR_INFO = {
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XAUUSD: {"display": "XAU/USD", "pip_value": 0.10, "is_jpy_pair": False,
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XAUUSD: {"display": "XAU/USD", "pip_value": 0.10,
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"price_precision": 2, "default_spread": 0.30},
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}
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@@ -102,25 +94,8 @@ class TechnicalConfig:
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@dataclass
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class SignalConfig:
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"""Signal scoring & filtering."""
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min_confidence: float = 55.0
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weights: Dict[str, float] = field(default_factory=lambda: {
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"ema_trend": 1.0,
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"rsi": 1.5,
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"bollinger": 1.5,
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"macd": 1.5,
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"keltner": 1.5,
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"roc": 1.5,
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"candlestick": 1.0,
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"divergence": 1.5,
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})
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mtf_agreement_threshold: int = 2 # of 3 timeframes
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cooldown_bars: int = 5
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default_risk_pct: float = 1.0
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default_rr_ratio: float = 2.0
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atr_sl_multiplier: float = 1.5
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min_rr_ratio: float = 0.5
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# TP tightening (May 2026) was tuned on the pre-spread backtester.
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# Re-tested 2026-07-08 with $0.30 spread + gap fills: 0.8 nearly
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@@ -199,25 +174,14 @@ class NewsConfig:
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@dataclass
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class XauStrategyConfig:
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"""XAU/USD strategy config.
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Legacy gates (H4 RSI, H1 MACD, M15 score) removed in favor of
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new momentum indicators (ROC, Keltner squeeze, ADX slope).
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"""
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"""XAU/USD strategy config."""
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enabled: bool = True
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rsi_entry_threshold: float = 45.0
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tp_atr_multiplier: float = 1.0
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sl_atr_multiplier: float = 2.0
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min_ema200_tfs: int = 2
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allow_generic_trades: bool = True
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blocked_hours_utc: List[int] = field(default_factory=lambda: [0, 1, 2, 10, 11, 13, 16, 21])
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weekend_filter: bool = True
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min_atr_threshold: float = 1.0
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v2_sl_atr_multiplier: float = 2.0
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buy_threshold_boost: int = 0
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m5_confirmation_bars: int = 0
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h4_rsi_gate: bool = False
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h1_macd_gate: bool = False
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rsi_zone: tuple = (40.0, 65.0)
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allowed_weekdays: List[int] = field(default_factory=lambda: [0, 1, 2, 3, 4, 6]) # Mon-Fri + Sun (Sydney open)
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sell_min_quality: List[str] = field(default_factory=lambda: ["A+", "A", "B"])
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# Volatility regimes in which SELL setups are allowed (low/normal-vol
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@@ -351,7 +315,6 @@ class PlatformConfig:
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scan_timeframes: List[Timeframe] = field(
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default_factory=lambda: [Timeframe.M5, Timeframe.M15, Timeframe.H1, Timeframe.H4]
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)
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candle_buffer_seconds: int = 10
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ws_cooldown_seconds: int = 300
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log_level: str = "INFO"
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@@ -204,25 +204,6 @@ class ForexDataProvider:
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logger.info(f"Cache cleared: {count} entries wiped")
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return count
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def get_latest_price(self, symbol: str = XAUUSD) -> Optional[float]:
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try:
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df = self.fetch_ohlcv(symbol, Timeframe.M5, lookback_days=1)
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if df is not None and not df.empty:
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return float(df["Close"].iloc[-1])
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except Exception:
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pass
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return None
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def get_spread_estimate(self, symbol: str = XAUUSD) -> float:
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try:
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df = self.fetch_ohlcv(symbol, Timeframe.M5, lookback_days=1)
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if df is not None and not df.empty:
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return float((df["High"] - df["Low"]).median())
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except Exception:
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pass
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info = PAIR_INFO.get(symbol, PAIR_INFO[XAUUSD])
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return info["pip_value"]
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def get_pair_info(self, symbol: str = XAUUSD) -> Dict:
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info = PAIR_INFO.get(symbol, PAIR_INFO[XAUUSD])
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return {"symbol": symbol, **info}
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@@ -13,7 +13,7 @@ Design philosophy:
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import logging
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from dataclasses import dataclass, field
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from typing import Dict, List, Optional, Tuple
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from typing import Dict, List, Tuple
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import numpy as np
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import pandas as pd
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@@ -1,21 +0,0 @@
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01:51:29 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 05:51 is 4320m old (limit: 180m)
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01:52:02 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 05:52 is 4320m old (limit: 180m)
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02:42:59 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 06:42 is 4320m old (limit: 180m)
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03:30:24 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 07:30 is 4320m old (limit: 180m)
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03:31:32 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 07:31 is 4320m old (limit: 180m)
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11:30:20 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 15:30 is 4320m old (limit: 180m)
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11:41:34 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 15:41 is 4320m old (limit: 180m)
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11:45:46 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 15:45 is 4320m old (limit: 180m)
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11:56:38 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 15:56 is 4320m old (limit: 180m)
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11:57:11 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 15:57 is 4320m old (limit: 180m)
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11:59:52 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 15:59 is 4320m old (limit: 180m)
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12:10:05 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 16:10 is 4320m old (limit: 180m)
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13:05:37 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 17:05 is 4320m old (limit: 180m)
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13:14:25 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 17:14 is 4320m old (limit: 180m)
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13:38:50 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 17:38 is 4320m old (limit: 180m)
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13:45:14 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 17:45 is 4320m old (limit: 180m)
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13:51:33 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 17:51 is 4320m old (limit: 180m)
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15:04:41 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 19:04 is 4320m old (limit: 180m)
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15:04:50 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 19:04 is 4320m old (limit: 180m)
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15:05:17 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 19:05 is 4320m old (limit: 180m)
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15:06:10 [WARNING] data_provider: BTC/USD 1h: last bar 2026-07-11 19:06 is 4320m old (limit: 180m)
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@@ -13,7 +13,6 @@ import json
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import logging
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import sys
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from datetime import datetime, timezone
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from typing import Dict, List
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# Force UTF-8 output on Windows so box-drawing chars render
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if hasattr(sys.stdout, "reconfigure"):
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+1
-1
@@ -14,7 +14,7 @@ import threading
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import time
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import xml.etree.ElementTree as ET
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from dataclasses import dataclass, field
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from datetime import datetime, timedelta, timezone
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from datetime import datetime, timezone
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from typing import Dict, List, Optional, Tuple
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import requests
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@@ -42,7 +42,6 @@ import json
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import logging
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import logging.handlers
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import os
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import signal
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import sys
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import time
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from concurrent.futures import ThreadPoolExecutor
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+2
-21
@@ -100,7 +100,7 @@ def make_xau_ohlcv(n=300, start_price=2400.0, seed=42):
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print("\n═══ Module 1: config.py ═══")
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from config import (
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Timeframe, SignalStrength, MarketSession,
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Timeframe, SignalStrength,
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PlatformConfig, TechnicalConfig, SignalConfig, NewsConfig,
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FilterConfig, XauStrategyConfig,
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XAUUSD, PAIR_INFO,
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@@ -130,24 +130,13 @@ def _():
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assert SignalStrength.SELL.value > SignalStrength.STRONG_SELL.value
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@test("MarketSession enum values")
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def _():
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assert MarketSession.SYDNEY.value == "sydney"
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assert MarketSession.TOKYO.value == "tokyo"
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assert MarketSession.LONDON.value == "london"
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assert MarketSession.NEW_YORK.value == "new_york"
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assert MarketSession.OVERLAP_LONDON_NY.value == "london_ny_overlap"
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@test("PAIR_INFO completeness and correctness")
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def _():
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assert XAUUSD in PAIR_INFO
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for pair, info in PAIR_INFO.items():
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assert "display" in info, f"Missing 'display' for {pair}"
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assert "pip_value" in info, f"Missing 'pip_value' for {pair}"
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assert "is_jpy_pair" in info, f"Missing 'is_jpy_pair' for {pair}"
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assert info["pip_value"] > 0, f"pip_value must be > 0 for {pair}"
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assert PAIR_INFO[XAUUSD]["is_jpy_pair"] is False
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assert PAIR_INFO[XAUUSD]["pip_value"] == 0.10
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@@ -180,14 +169,9 @@ def _():
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@test("SignalConfig defaults")
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def _():
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sc = SignalConfig()
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assert sc.min_confidence == 55.0
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assert sc.mtf_agreement_threshold == 2
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assert sc.min_rr_ratio == 0.5
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assert sc.tp_tightening_factor == 1.0
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assert sc.atr_sl_multiplier == 1.5
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assert sc.default_rr_ratio == 2.0
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assert sc.cooldown_bars == 5
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assert "ema_trend" in sc.weights
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assert "rsi" in sc.weights
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@test("PlatformConfig defaults")
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@@ -206,9 +190,6 @@ def _():
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def _():
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xc = XauStrategyConfig()
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assert xc.enabled is True
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assert xc.rsi_entry_threshold == 45.0
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assert xc.min_ema200_tfs == 2
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assert xc.allow_generic_trades is True
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assert xc.tp_atr_multiplier == 1.0
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assert xc.sl_atr_multiplier == 2.0
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assert isinstance(xc.blocked_hours_utc, list)
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-110
@@ -1,110 +0,0 @@
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#!/usr/bin/env python3
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"""Test whether Twelve Data allows 2 simultaneous WebSocket connections for XAU/USD.
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Uses the twelvedata SDK which handles the WS protocol correctly.
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Runs connection 1, then adds connection 2 after 10s, monitors for 30s total.
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"""
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import threading
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import time
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||||
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||||
from twelvedata import TDClient
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from app_config import provider_api_key
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||||
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||||
API_KEY = provider_api_key()
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||||
SYMBOL = "XAU/USD"
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DURATION = 30
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||||
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results = {
|
||||
"WS-1": {"ticks": 0, "errors": [], "alive": False},
|
||||
"WS-2": {"ticks": 0, "errors": [], "alive": False},
|
||||
}
|
||||
|
||||
|
||||
def make_handlers(label):
|
||||
def on_event(event):
|
||||
if event.get("event") == "price":
|
||||
results[label]["ticks"] += 1
|
||||
price = event.get("price", "?")
|
||||
print(f"[{label}] tick #{results[label]['ticks']:3d} price={price}")
|
||||
|
||||
def on_error(error):
|
||||
results[label]["errors"].append(str(error))
|
||||
print(f"[{label}] ERROR: {error}")
|
||||
|
||||
def on_close(status):
|
||||
results[label]["alive"] = False
|
||||
print(f"[{label}] CLOSED (status={status})")
|
||||
|
||||
def on_connect():
|
||||
results[label]["alive"] = True
|
||||
print(f"[{label}] CONNECTED — subscribed to {SYMBOL}")
|
||||
|
||||
return on_event, on_error, on_close, on_connect
|
||||
|
||||
|
||||
def run_ws(label):
|
||||
td = TDClient(apikey=API_KEY)
|
||||
on_event, on_error, on_close, on_connect = make_handlers(label)
|
||||
ws = td.websocket(
|
||||
symbols=SYMBOL,
|
||||
on_event=on_event,
|
||||
on_error=on_error,
|
||||
on_close=on_close,
|
||||
on_connect=on_connect,
|
||||
)
|
||||
ws.connect()
|
||||
return ws
|
||||
|
||||
|
||||
def main():
|
||||
print(f"Testing dual WebSocket for {SYMBOL} ({DURATION}s)\n")
|
||||
|
||||
print("Starting WS-1...")
|
||||
ws1 = run_ws("WS-1")
|
||||
|
||||
time.sleep(10)
|
||||
print(f"\nWS-1 ticks so far: {results['WS-1']['ticks']}")
|
||||
print("Starting WS-2...\n")
|
||||
ws2 = run_ws("WS-2")
|
||||
|
||||
remaining = DURATION - 10
|
||||
time.sleep(remaining)
|
||||
|
||||
print("\nStopping connections...")
|
||||
try:
|
||||
ws1.disconnect()
|
||||
except Exception:
|
||||
pass
|
||||
try:
|
||||
ws2.disconnect()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
time.sleep(1)
|
||||
|
||||
print("\n" + "=" * 50)
|
||||
print("RESULTS")
|
||||
print("=" * 50)
|
||||
for label, info in sorted(results.items()):
|
||||
status = "alive" if info["alive"] else "dead"
|
||||
errs = info["errors"] or ["none"]
|
||||
print(f" {label}: {status} ticks={info['ticks']} errors={errs[0]}")
|
||||
|
||||
ws1_ok = results["WS-1"]["ticks"] > 0 and not results["WS-1"]["errors"]
|
||||
ws2_ok = results["WS-2"]["ticks"] > 0 and not results["WS-2"]["errors"]
|
||||
ws1_died = results["WS-1"]["alive"] is False and results["WS-1"]["ticks"] > 0
|
||||
|
||||
if ws1_ok and ws2_ok:
|
||||
print("\n✓ Both connections worked — dual WS is supported")
|
||||
elif ws2_ok and ws1_died:
|
||||
print("\n✗ WS-2 replaced WS-1 — only 1 connection allowed at a time")
|
||||
elif ws1_ok and not ws2_ok:
|
||||
print("\n✗ WS-2 was rejected — only 1 connection allowed")
|
||||
else:
|
||||
print("\n? Inconclusive — check errors above")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user