Daily-trend veto on M15 + lot-size / already-open lines (campaign 2026-09-30), and the 2026-10-01 whole-codebase bug review
Two bodies of work that touch the same files, so one commit. Direction and setup-size campaign (2026-09-30 → 10-01, owner's RISK-FIRST rule, written before the runs): - SIGNAL: M15 daily-trend veto (factory override 7, xau_strategy.daily_trend_veto "both"). A finished setup against a clear daily trend (closed D1 bars, Sunday stubs dropped; close vs its 50-bar EMA AND vs the close 60 kept days earlier) is removed as the last step of the core. One definition (signal_aggregator.daily_trend_series) for live, the bar replay and the twin's host side; D1 is a required frame of the M15 scan; mirrored in cuda_signal_kernels.py K2. W3 824 / +205.12R / PF 1.73 / max DD 12.4R vs 1105 / +195.79R / 1.49 / 20.9R; 2019 → 2026 1473 / +223.33R / 1.42 / 41.5R vs 2091 / +192.53R / 1.24 / 64.8R; unseen holdout −4.62R vs −6.63R. - FAILED, not shipped: the veto on M5 (W3 drawdown 10.1R → 15.2R) and on H1 (−9.7R), buy-only and sell-only on M15, the wide-stop cap (xau_strategy.wide_stop_cap_atr stays 0.0, a research knob). - New M15 pins: W2 dfc647ee…, OOS e87b6de1…, W3 ad3b0dbd…. M5 / H1 / H4 pins unchanged. --set xau_strategy.daily_trend_veto=off reproduces the previous M15 pins byte for byte. Twin and reference script MD5-equal on every window; recorder and feature-export parity re-proved; base-rate table rebuilt. - DISPLAY (books byte-identical): exposure.py — the lot size for trade_size.risk_per_trade (new config.json block, off by default, private to the owner) and the count of alerted same-direction plans still open (signals.alerted_at, read-only open_alerted_setups); the daily trend in words on Telegram, the CLI and the dashboard; signals.daily_trend logged. - providers/oanda: a date window with no bars is an empty page, not an error (a D1 pad starting on a Saturday could not be fetched). - Reports only, nothing shipped: seven context screens (no state nominated) and eight outside data sources (none adds a forecast to gold's own daily trend). - Independent verification (report section 5.13): every figure reproduced on both scripts, scoring identical to the previous commit on all four timeframes, no look-ahead. Caveats recorded there: this is a risk filter, not a more accurate direction call; nine tenths of the 2019 → 2026 gain is 2022; the neighbour clause is thin (a simple 100-day average misses the R line by 1.2R); "never adds a trade" is an observation, not a guarantee. Bug review of the whole codebase (2026-10-01). Signal path clean. 17 defects elsewhere, plus 4 found by an independent review of the fixes; all fixed, each with a test; no trade book changed: - telegram_bot: one _deliver_alert for the candle scan and the level break. The row is stamped alerted_at BEFORE the send, on a one-worker alert-db pool, and un-stamped when no chat received it or the task is cancelled mid-stamp, so two alerts at one candle close count each other and no SQLite write runs on the event loop. The 5-bar cooldown counts bars of the scan's own frame (== gpu_backtest._apply_cooldown; clock time released the 22:00 UTC bar after the settlement pause) and is restored from signals.db at start-up. The lot-size line goes to the owner's own chat only (a group the owner ran /autoscan in used to receive it). /status gains a news-model line and escapes failure details. - signal_log: mark_alerted returns the stamp it wrote; unmark_alerted; last_alerted_bars (read-only). - advisory_outcome: candle continuity is judged bar by bar inside the walk; a hole after a trade's exit no longer voids it. The stored-candle replay resolves 108 of 111 logged setups instead of 99, all equal to the live resolver's R. - providers/oanda: an empty date window is accepted only when it is 5 days or shorter and no malformed candle was skipped; a longer one is retried, then refused, instead of being cached as history with a hole. - news_engine: blank RSS titles skipped; one unreadable headline no longer costs the local model its whole batch (checked on the real bundle); model health recorded; no DeepSeek audit call in a process that does not archive; event-direction cache keyed per release; peek_week_events never fetches. - llm_client: chat_json never raises and never logs the API key (requests quotes the Authorization value in InvalidHeader; error bodies are redacted). - signal_aggregator: the scan's news block is guarded; the replay path (use_news=False) assigns exactly the values it did before. - agent_panel: PANEL_PROMPT_VERSION v2.2 — same prompt text, corrected input (event timing over the cached calendar week, headlines newest first). scripts/panel_replay.py replays the logged payload per persona; scripts/label_scan_outcomes.py counts with an ISO cutoff. - test_all.py: no ALTER TABLE … DROP COLUMN (the live box has SQLite 3.34); tests that write Parquet print a notice and return without pyarrow. Verification after the last code change: suite 632 passed, 0 failed (also with both Parquet engines blocked and FB2_BACKEND=cpu, the live box's view); the five reference MD5s reproduce on both backtesters, 0 cache fallbacks; Module 37 green; static Python 3.9 / SQLite 3.34 check clean on every touched file. Evidence: backtest/research/daily_trend_campaign_2026-09-30.md, context_screens_2026-10.md, new_inputs_2026-10.md; CLAUDE.md sections 2, 4, 6, 8, 9, 10 and 11; pair_signals/xauusd.py docstring (M15 override 7). Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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@@ -1,6 +1,6 @@
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{
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"schema": "agent-panel-base-rates-v1",
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"generated_at": "2026-09-27T00:45:18+00:00",
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"generated_at": "2026-10-01T05:49:09+00:00",
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"key": "timeframe|strategy|grade|direction ('*' = any)",
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"min_n_for_exact_class": 30,
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"books": {
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@@ -13,8 +13,8 @@
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},
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"15min": {
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"file": "m15_w2.csv",
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"md5": "5b65ecf6fad9a8da412749066fd50d36",
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"trades": 813,
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"md5": "dfc647ee02afd179dd9e031f344ed380",
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"trades": 597,
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"first_entry": "2024-09-05 06:15:00+00:00",
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"last_entry": "2026-09-04 08:00:00+00:00"
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},
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@@ -35,27 +35,27 @@
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},
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"classes": {
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"15min|*|*|*": {
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"n": 813,
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"win_rate": 62.24,
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"mean_r": 0.1896,
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"tp1_reach_rate": 50.43,
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"median_bars_held": 32,
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"n": 597,
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"win_rate": 64.32,
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"mean_r": 0.2611,
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"tp1_reach_rate": 53.6,
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"median_bars_held": 34,
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"book": "m15_w2.csv"
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},
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"15min|*|*|BUY": {
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"n": 635,
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"win_rate": 63.31,
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"mean_r": 0.2309,
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"tp1_reach_rate": 51.65,
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"median_bars_held": 33,
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"n": 540,
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"win_rate": 64.44,
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"mean_r": 0.2725,
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"tp1_reach_rate": 53.52,
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"median_bars_held": 35,
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"book": "m15_w2.csv"
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},
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"15min|*|*|SELL": {
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"n": 178,
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"win_rate": 58.43,
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"mean_r": 0.0424,
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"tp1_reach_rate": 46.07,
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"median_bars_held": 28,
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"n": 57,
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"win_rate": 63.16,
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"mean_r": 0.1536,
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"tp1_reach_rate": 54.39,
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"median_bars_held": 27,
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"book": "m15_w2.csv"
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},
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"15min|GENERIC|A+|BUY": {
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@@ -66,68 +66,60 @@
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"median_bars_held": 32,
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"book": "m15_w2.csv"
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},
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"15min|GENERIC|A+|SELL": {
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"n": 1,
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"win_rate": 0.0,
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"mean_r": -1.0276,
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"tp1_reach_rate": 0.0,
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"median_bars_held": 34,
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"book": "m15_w2.csv"
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},
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"15min|GENERIC|A|BUY": {
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"n": 208,
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"win_rate": 67.31,
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"mean_r": 0.3158,
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"tp1_reach_rate": 59.13,
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"median_bars_held": 44,
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"n": 191,
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"win_rate": 67.02,
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"mean_r": 0.3152,
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"tp1_reach_rate": 59.16,
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"median_bars_held": 45,
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"book": "m15_w2.csv"
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},
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"15min|GENERIC|B|BUY": {
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"n": 282,
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"win_rate": 62.41,
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"mean_r": 0.1869,
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"tp1_reach_rate": 46.1,
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"n": 238,
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"win_rate": 62.18,
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"mean_r": 0.2096,
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"tp1_reach_rate": 47.06,
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"median_bars_held": 38,
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"book": "m15_w2.csv"
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},
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"15min|GENERIC|B|SELL": {
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"n": 161,
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"win_rate": 58.39,
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"mean_r": 0.0273,
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"tp1_reach_rate": 45.34,
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"median_bars_held": 32,
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"n": 52,
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"win_rate": 63.46,
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"mean_r": 0.1569,
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"tp1_reach_rate": 53.85,
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"median_bars_held": 28,
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"book": "m15_w2.csv"
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},
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"15min|GENERIC|C|BUY": {
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"n": 60,
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"win_rate": 65.0,
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"mean_r": 0.395,
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"tp1_reach_rate": 60.0,
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"median_bars_held": 24,
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"n": 49,
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"win_rate": 71.43,
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"mean_r": 0.5518,
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"tp1_reach_rate": 67.35,
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"median_bars_held": 27,
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"book": "m15_w2.csv"
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},
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"15min|XAU_ATR|A+|BUY": {
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"n": 3,
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"win_rate": 66.67,
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"mean_r": 0.2684,
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"tp1_reach_rate": 33.33,
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"median_bars_held": 13,
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"n": 2,
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"win_rate": 50.0,
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"mean_r": -0.4203,
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"tp1_reach_rate": 0.0,
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"median_bars_held": 12,
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"book": "m15_w2.csv"
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},
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"15min|XAU_ATR|A+|SELL": {
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"n": 16,
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"win_rate": 62.5,
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"mean_r": 0.2612,
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"tp1_reach_rate": 56.25,
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"median_bars_held": 5,
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"n": 5,
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"win_rate": 60.0,
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"mean_r": 0.1192,
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"tp1_reach_rate": 60.0,
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"median_bars_held": 6,
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"book": "m15_w2.csv"
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},
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"15min|XAU_ATR|A|BUY": {
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"n": 80,
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"win_rate": 56.25,
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"mean_r": 0.06,
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"tp1_reach_rate": 47.5,
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"median_bars_held": 10,
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"n": 58,
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"win_rate": 62.07,
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"mean_r": 0.2058,
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"tp1_reach_rate": 53.45,
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"median_bars_held": 11,
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"book": "m15_w2.csv"
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},
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"1h|*|*|*": {
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