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).
Owner question: can score and confidence be combined into one number that is
easier to understand and for the system to decide on?
Research (pre-registered, nothing ships to the signal path):
- signals.grading_mode: "pair" (default, the shipped two-floor rule, byte-
identical: all five reference MD5s reproduce on both scripts), "min"
(min(|score|, 0.6*conf)), "product" (|score|*conf/100); thresholds fixed from
the control's corner points, no tuning. Helpers _final_signal_and_grade /
_transitioning_boost / conviction / CONVICTION_THRESHOLDS in signal_aggregator;
mirrored in K2 (GRADING_MODE_CODES, PF_conv_* packed from the live module);
twin refuses other values; M15 OOS MD5 equal on both scripts for both modes.
- Verdict: FAILED on M5 and M15. K-MIN moves 43-54 trades for -1.2R / -2.9R
(clauses a,b,e / a,b,d); K-PROD -29R on M15 (PF 1.29, W3 DD 28.9R), neutral
on M5. H1/H4 product +11.9R / +17.0R on W3 from extra low-score trades
(H1 PF 1.98 -> 1.75, DD doubles): hypothesis only.
- Code review (high) before the runs: 6 findings fixed, 1 recorded
(engine_config_fingerprint omits the switch under "pair", so live rows keep
their fingerprint).
Delivery (books untouched): alerts lead with the grade and print the two raw
numbers in words (main.plain_words: "Direction: strong buy · Reliability: good
· timeframes agree", cut-offs = the grade table's own) on Telegram, /status,
the CLI and the dashboard card (plain_words in the snapshot); "MTF" label
replaced by "Other timeframes"; guides updated. Suite 566 passed.
Evidence: backtest/research/conviction_campaign_2026-09-27.md
Live signals.db review (2026-09-04 → 09-25, 100 unique setups replayed on the
scans' stored candles): the stop-hunt claim is refuted (71% of stop-outs ran
≥ 1R past the stop, the same as the books' 70–72%); −25.1R of the −37.8R raw
live book were consecutive-bar re-entries the backtester's 5-bar cooldown never
takes; the cooldown view sits at the 3rd–5th percentile of the books' three-week
windows.
Delivery (book-neutral):
- telegram_bot: 5-bar alert cooldown per timeframe (_ALERT_COOLDOWN_BARS =
backtest.cooldown_bars); setup block prints the trail first as the tested
exit, TP1/TP2 as guides with their R, "Planned TP1 RR", and one validated-book
line per setup class (agent_panel_base_rates.json); the informational 100-pip
TP line is removed (owner request).
- AI block rewritten for a new trader: "AI check: the odds look better than /
worse than / about usual", the chance "in 100" against the usual odds, one
reason for and one against, no verdict word or confidence figure; rendered
whenever the verdict carries a probability. agent_panel: persona prompts ban
trading jargon (PANEL_PROMPT_VERSION v2.1-2026-09-26); the macro-source
verdict now carries its persona's p_win (every live v2 row had
panel_probability NULL). Dashboard and guides mirror the wording.
- telegram_bot: level-breach rescans skip the settlement-pause window (the
20:45 M15 bar was re-logged at 22:01/22:06/22:11 every evening).
Signal (pre-registered rule-1 campaign, CUDA twin paired with gpu_backtest.py):
- M15 grade-A SELLs blocked (sell_min_quality ["A+","B"], M15 override 6):
W2 813/+154.15R PF 1.53 vs 931/+146.14R PF 1.43, OOS +68.5 vs +60.67,
W3 max DD 20.9 vs 19.3R. PASSED a–f.
- Printed target 1 floored at 1R in every generator (signals.tp_print_floor_rr),
applied AFTER the min-RR and spread gates so no trade changes; mirrored in
cuda_signal_kernels.py K2. Label-only re-pin of all four timeframes (only
tp1/rr_planned columns move). A floor applied before the gate cost −24.6R and
was rejected.
- FAILED: M15 min_rr_ratio 1.0 (trade-identical, −2.0R). Owner's call: M5
tp_floor_rr 1.0 (+48.9R W2, max DD 10.1 → 15.9R), not shipped.
New pins: M5 W2 e599c8a8…, M15 W2 5b65ecf6…, M15 OOS 09b8a8e7…, H1 W3
a44fd19b…, H4 W3 f3587bae…; twin and reference MD5s equal on every window.
Base-rate table rebuilt from the new pins. Suite 558 passed.
Evidence: backtest/research/rr_and_sell_campaign_2026-09-26.md (plus the
2026-09-18 loss-anatomy and wrong-direction reports it builds on).
Every live reader of a pip value goes through PAIR_INFO[...]["pip_value"]
(signal_aggregator, gpu_backtest, diagnose_filters) or TradeSetup.pip_value;
no code read the PlatformConfig field. The three PlatformConfig(...)
constructions that passed it (gpu_backtest x2, diagnose_filters) and the
inline construction in the factory-equivalence test drop the kwarg. Neither
config fingerprint hashes the field, so logged fingerprints are unchanged.
The removed-field test now also asserts pip_value stays gone.
Parity: 12-month M5 and H1 books regenerated byte-identical
(md5 a28fed4becd056466c26d6a947e1a0e5 / d20405ef64f069770c258bb9bed1ac90).
Suite: 461 passed, 0 failed.
Claude-Session: https://claude.ai/code/session_0156YhogLytzj9P2iH1skGbL
Verdict from the 3-week signal log (backtest/research/news_sentiment_value_2026-09-04.md):
news_sentiment is a trailing-24h echo of price (r +0.67 with the past day, +0.03 with
the next; most bullish 2 h after the 08-25 top, bearish 44 h later; most bearish at the
09-02 low, bullish 16 h later). Per-headline LLM labels are correct; the 12 h pool and
the averaging are what destroy the information. Both gating flags stay False.
- news_engine: _LLM_SUMMARY_SYSTEM rewritten for someone who has never traded (no
acronyms, two worked examples); summary payload newest-first with the platform's own
gold direction; reply cap 300 -> 400 chars.
- config: headline_max_age_seconds 43200 -> 14400; RSS items without a parsable
pubDate are dropped (they used to be stamped "now" and never aged out).
- news_engine.get_fundamental_context drops headlines whose every relevant score is
inside +-0.1 (_is_neutral_headline) before the per-currency mean; news_sentiment
from this date is a mean over directional <=4 h headlines (log comparisons split here).
- static: dashboard copy for the 4 h pool; news_summary.php prompt gets the same style rule.
- analyze_signal_log: --news (under --stored-candles) prints sentiment lead/lag with
split halves, sentiment at the window high/low with flip lags, and outcome buckets by
direction x news x macro stance; LogRow gains news_sentiment/event_risk; _row_index shared.
- tests: 406 -> 414 (age window, undated drop, neutral filter, summary prompt/payload/cap,
--news helpers, load_rows round-trip); RSS fixtures now carry a pubDate.
- docs: user/beginner guides, CLAUDE.md, deploy README.
Claude-Session: https://claude.ai/code/session_0169BgFtWjp1SEAa5392Q9jH
Add panel_verdict, panel_confidence, panel_rationale, panel_takes_json
columns to the signals table (additive, idempotent ALTER TABLE migration
for existing DBs). _report_row now reads the panel fields attach_panel
writes onto the SignalReport, so LLM panel verdicts stop evaporating on
process exit. Also documents the Oanda re-pin (round_trip_cost stays
$0.30 for cross-book comparability and the live TP gate; $0.65 is the
measured headline) and adds the feed-divergence / parity / shadow-scan
study tooling referenced by CLAUDE.md.
- Delete back-compat shims data_provider.py / oanda_provider.py;
test_all.py now imports providers.* directly (ForexDataProvider name
retired; the two shim-only tests removed, 268 -> 266 tests)
- Delete backtest/research/calendar_store.py (no importer, no entry
point); config.py audit comment reworded
- Delete executed plan doc (2026-07-21 centralized-config) and the two
unbuildable guide PDFs; HTML guides remain the source of truth
- OANDA_MIGRATION_ROADMAP.md status header corrected: phases 1-2
shipped 2026-07-28, feed is live on Oanda; phases 3-6 still unbuilt
- Branches deleted locally + on both remotes: oanda_demo (merged),
web-dashboard, eurusd-modular, reversal-exit-alert (owner-approved
permanent deletion); July stash dropped
Claude-Session: https://claude.ai/code/session_019zR58p8ACW1oJ5QXVUZ5es
Gate 6h (big-candle entry gate): blocks all XAU entries (core, XAU_PB,
XAU_CP) when the primary TF's last 24h contains a bar with range >= K x
prior-bar ATR. Ships default-OFF: validation rejected every threshold
(K 3-6 on M5/M15 12mo) — removed trades were net-POSITIVE at every cell;
M5 quiet-window trades are the only losing bucket. Config knobs
big_candle_atr_multiple/lookback_hours, --big-candle backtest flag,
Module 17 tests.
M5 relaxation SHIPPED (validated 2026-07-30, Oanda bars, $0.30 spread):
m5_min_abs_score 30->25, m5_min_confirmation_score 10->5, hour-21 UTC
unblocked M5-only. Beats control in ALL 6 calendar years of the 5yr
replay (+230.9R/2319 PF 1.26 DD 21.3 vs +168.0R/2048 PF 1.21 DD 27.0),
12mo +107.4R PF 1.36 vs +84.6R PF 1.33, OOS +26.1R vs +17.2R, $0.70
spread +86.9R vs +66.4R. M15: every relaxation retested negative —
config unchanged. Declined-but-open: M5 hour-22 block, M15 hour-16
unblock (both fail 5yr/OOS). Evidence in the factory docstring.
Tooling: generic --set PATH=JSON research override in gpu_backtest
(typo-proof, logged); diagnose_filters filter_tags refreshed for gates
6d-6i with a staleness-guard test (Module 18); research scripts
hour_analysis/burst_profile/book_diff. Suite: 268 tests.
Claude-Session: https://claude.ai/code/session_014jqHpmNYmwYMowF6bPZyeD
- 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.
Claude-Session: https://claude.ai/code/session_01VPNF37MP9Kuv62B1VBrZ1b
Resolves the Twelve Data API key through app_config.provider_api_key()
(env → config.json → no default) instead of a hardcoded field on
PlatformConfig. Adds data_provider.PROVIDER_REGISTRY + make_data_provider()
so signal_aggregator and the backtester build the active provider through
one seam; telegram_bot.py gets the same one-line WS-key fix now (per Task 4's
already-planned edit for that line) so the suite doesn't crash on import
between this commit and Task 4's full wiring pass.
Claude-Session: https://claude.ai/code/session_01VPNF37MP9Kuv62B1VBrZ1b
Add NewsConfig.sentiment_affects_signals (default False), gating the +5
aligned-sentiment confidence bonus and the 10-pt news_conflict penalty.
With event_risk_caps_signals already False, live decisions are now pure
technical, matching the backtester (use_news=False). Warnings and the
sentiment display are unchanged. Adds a gating regression test.
Claude-Session: https://claude.ai/code/session_01FMaaPdrrrQuh1VvGQH1icN
Third entry archetype: completion of classical chart patterns (double
bottom/top, H&S top / inverse H&S, bull/bear flag) — the tight canon
with the strongest documented stats. New chart_patterns.py detector
module (pure functions, ATR-unit geometry, closed-bar slices only,
first-close-beyond trigger discipline so a breakout fires exactly
once and never repaints).
Pipeline step 10 in analyze_from_dataframes: fills only empty setup
slots, allows weak-composite F grades (normal at reversal completion)
but inherits session/day blocks, mirrors MTF-opposition + SELL
vol/hour + M5 protections. Geometry: SL = pattern anchor -/+ 0.5 ATR
(min $8), TP1 = measured move, $9 spread gate, trailing exit does the
real work. Strategy tag XAU_CP.
cp_enabled defaults to False everywhere — per-TF adoption happens in
pair_signals/xauusd.py only after the standard validation rule passes.
Backtester: --cp / --cp-patterns flags to test the candidate, XAU_CP
tag recognition.
Suite: 183/183 (21 new tests: detectors, trigger discipline,
invalidation, gates, pipeline, default-off safety).
Claude-Session: https://claude.ai/code/session_015kby7M9JwpYi8NQT2yoxAi
USAGE.md documented a different product: USD/JPY (unsupported — the
code is XAU/USD + EUR/USD), 16 main.py flags that don't exist
(--backtest, --optimize, --auto-session-filter, …; main.py has five),
and backtest.py/metrics.py, which aren't in the repo. Two claims were
actively misleading: it called the session filter "default off" (it is
True by default, 03:00-23:00 not 07-16) and gave regime-min-adx as 30
(real default 25). CLAUDE.md now covers the CLI, bot and backtester
correctly, so this is a delete rather than a rewrite.
PULLBACK_ENTRY_PLAN.txt was a pre-implementation draft whose spec no
longer matches what shipped — it specifies a 0.5-2.5 ATR retrace window
and a detector in engine.py, while XAU_PB ships 0.8-6.0 (the drafted
window rejected 81% of valid pullbacks) with the detector in
signal_aggregator.py so live and backtest share one code path. Its
validated outcome (+38.3R / 254 trades / 12mo M5) and every shipped
gate are recorded in CLAUDE.md and the config docstrings.
Also drops the now-dangling references to both files from CLAUDE.md
and the config.py XAU_PB comment.
M15 mixed-"trending" regime block (ADX strong, EMAs unaligned =
momentum without direction): -6.8R/24 trades on 12mo, negative both
halves; blocking scores +65.7R/499 PF 1.38 DD 10.4R vs +59.0R/521
PF 1.32 DD 12.6R, better both halves, OOS 2024-06->2025-03 neutral
(-1.4R = the 4 such trades there). M5 never trades this regime.
New XauStrategyConfig.blocked_regimes / sell_blocked_regimes knobs
(default empty) + aggregator gate 6g2; M15 factory opts in.
M5 hour-9 UTC block (post-London-open whipsaw): -28.9R/143 over the
6-year book, negative 5/7 calendar years. Full-history replay with
block: +207.1R vs +178.3R, max DD 28.7R vs 35.5R, 2023 -13.0R ->
breakeven; tuned 12mo book unchanged (139.0 vs 139.3). Hour 9 is
positive on M15 (+1.7R 6yr, +8.6R OOS) so the block is factory
M5-only.
Rejected after validation (documented in xauusd.py + session memory):
transitioning-SELL block (bull-market artifact, +5.7R in 2024 OOS),
M15 trending_down block (M5 cross-TF contradiction), losing-streak
circuit breakers, 30d efficiency-ratio trend gate, and all entry-level
indicator filters (winners == losers at entry on every feature).
Full-history context (Twelve Data 5min starts 2020-03-16): M5 6.3yr
+207R PF ~1.3 post-fix with losing year 2021; M15 +152.6R PF 1.19
DD 49.7R — edge is regime-dependent, chop years are structural.
Tests: 178 passed (new gate test + factory-equivalence updates).
Replaying the live danger/caution gates against the validated 12mo XAU
M5 book showed they suppress 25-35 trades worth +4.6..+7.2R/yr — trades
entered near USD releases outperform the book average (+0.475R vs
+0.256R). New NewsConfig.event_risk_caps_signals (default False =
XAU-tuned) keeps EVENT RISK warnings in alerts but no longer guts
confidence; EUR factory re-enables the caps (evidence is gold-specific).
Pinned XAU M5 regression: 547 trades, +139.94R, trade-identical.
Tests: 177 passed.
- EURUSD in PAIR_INFO; new per-pair price_precision and default_spread
fields on both pairs (backtester consumes default_spread when --spread
is omitted)
- EurUsdStrategyConfig ported from feature/eurusd-support plus EUR-local
cost knobs (round_trip_cost=1 pip, min_tp_cost_multiple=10,
min_sl_pips=8) so SignalConfig's gold-dollar values never apply to EUR;
donor-tuned values are a pre-realism baseline pending re-tune
- PlatformConfig.eur_strategy field; track EUR in news currencies
Improvements from a live-verified audit of the news/calendar pipeline:
- Currency tagging: keyword matching now uses letter-boundary regexes
and drops ambiguous "us "/"eu "/"uk " tokens — "versus" no longer
tags headlines as USD (confirmed live false positive polluting the
XAU/USD sentiment average).
- Fetch caching: calendar events and headlines are cached class-level
(10 min TTL, 60s retry after empty/failed fetch, lock-guarded for
concurrent scans). Stops per-scan refetching that was tripping the
Forex Factory rate limit; TTL stays under the 30-min pre-event
buffer so the danger window can't go stale.
- Surprise detection: EconomicEvent.surprise is computed from parsed
actual vs forecast (handles %, K/M/B/T suffixes, negatives). A
surprise print widens the post-release caution window to 45 min;
inline releases keep the original 15 min.
- Gold-aware sentiment: headlines are scored per currency, with
monetary-policy keywords (hawkish/rate hike/tightening vs dovish/
rate cut/easing/stimulus) inverted for XAU — "hawkish Fed" headlines
scored +1.0 for gold before, -1.0 now (verified on live feed).
- New sentiment sources: Google News gold-focused query and CNBC
Economy RSS (verified live; 40 → 74 unique headlines). Added
cross-feed title dedup so syndicated stories count once.
- events_today now buckets by UTC date (feed timestamps carry US-
Eastern offsets); --json output includes news_description.
- Removed dead NewsConfig.min_impact and unused HIGH_IMPACT_EVENTS.
Tests: 142 passed (7 new covering boundary matching, surprise
classification, post-event windows, cache reuse, gold inversion).
Second entry pattern alongside the Keltner-breakout: enter on the
retrace to EMA21/KC-mid in an established trend (EMA >=3/4 aligned,
ADX>=20, retrace 0.8-6.0 ATR, resumption bar closed back in trend
direction, RSI in the pullback zone not the extended zone). Detector
lives in the aggregator so live and GPU-backtest paths share one
implementation. Own gates (composite floor 15, confirmation-TF
agreement, MTF opposition, vol regimes) with a diagnostic funnel.
PB stops anchor to the pullback swing (~$8 vs ~$25 breakout), so PB
trades get their own trail arm (0.8R vs 0.6R global) via per-trade
trail overrides in the backtester and strategy-aware Telegram alerts.
12mo M5 validation: PB alone +38.3R/254 trades, positive both halves
and all four full quarters; core breakout trades undisturbed
(+101.9R vs +105.0 baseline). Combined book: 549 trades (~10.6/wk),
+140.1R, PF 1.78, DD 11.3R vs 311 trades/+105.0R before.
Gates 5-6 in the M5 filter: block 'high' vol regime entries (chop
transition — 61% WR, negative total while low/normal/extreme all
positive) and block SELLs with RSI<25 (dip already extended, mean-
reverts before target). 365d: 419→311 trades, +41→+48.4R, DD 11.2→8.0R.
Replace the fixed RR-0.5 take-profit with a trailing stop: arm at
+0.6R favorable excursion, trail 0.75R behind best price, stop levels
update at bar close (conservative). The RR-0.5 target was the binding
constraint — winners kept running after TP. Whole trail parameter grid
(arm 0.4-1.2 × dist 0.5-1.25) lands +90-103R, a plateau not a spike;
also +91.7R on the pre-gate 419-trade population. TP1 stays advisory;
Telegram alerts include the arm price and trail distance. max_hold
200→300 bars (trailing exits need room; +10R).
12mo M5, same 311 trades: +105.0R total, PF 2.27, DD 7.9R, 61% WR,
train/val +54.6/+50.4, every quarter positive.
ATR was computed after EMAs so ribbon compression detection was dead code
on all timeframes — moved ATR first. Extended M5 swing S/R lookback from
50 to 120 bars. Added four M5-specific filters: min score, MTF agreement,
confirmation TF conviction, and SELL quality cap (A-grade M5 shorts enter
at dip extremes and lose). Fixed backtester blocked-hour check to use bar
close time matching the live bot. Added trade geometry config (spread gate,
SL floor, TP floor RR) and primary_tf mismatch guard in backtester.
Backtest: 1133 trades/+11.5R → 419 trades/+41.0R, PF 1.03→1.37, DD 21→11R.
Train/val split positive in both halves (+19.8R/+21.3R).
A/B on M15 2025-03-30→2026-05-31 with $0.30 spread + gap-through fills
(511 identical entries, only exits differ):
factor 0.8 / min_rr 0.4: +36.1R (avg +0.071R, SELL +1.2R)
factor 1.0 / min_rr 0.5: +66.8R (avg +0.131R, SELL +9.6R)
Worse in both train and validation halves and both directions. The 20%
tighter targets buy +1.8pt win rate but shrink every win while the fixed
spread stays constant. The knob remains for re-tuning with costs included.
Live pipeline:
- Drop still-forming candle before analysis (signals no longer repaint)
- Direction-aware MTF agreement + opposition gate (no trade against 2-of-3 TF consensus)
- SELL volatility gate: block shorts in low/normal vol regimes (config sell_vol_regimes)
- Divergence: 40-bar lookback, price/indicator swings must align within ±2 bars
(fired on 0.5% of trades before, 29% after), trending weight 2.0→1.0
- RSI regime_aware by default; transitioning regime only signals at extremes
- ADX ±DM tie no longer nudges bearish; TP2 clamped beyond TP1
Backtester realism:
- Charge $0.30 round-trip spread (--spread), gap-through SL/TP fills at bar open
- Resolve trades on RAW price path (cache stores raw bars, cleaning runs on load)
- Weekend/session filters use bar-close decision time to match live wall clock
Validated per-step on M15 2025-03-30→2026-05-31 under identical pricing:
+46.9R → +66.8R, win rate 69.9% → 73.0%, SELL side -2.3R → +9.6R.
Tested-and-reverted: ROC weight removal (-13R), BB fade suppression (-11.6R),
candlestick de-weight (-2R) — composite thresholds are co-tuned with weight mass.
The old `weekday() >= 5` check blocked all of Sunday, but the forex
market reopens Sunday 22:00 UTC (Sydney open). Now uses proper time-based
check so the bot fetches data and generates signals on Sunday evening.
- Blocked hours reduced to 0-2 UTC only (daily rollover)
- M5 signals now broadcast to Telegram like M15/H1/H4
- Live dashboard shows New York time (auto EDT/EST via zoneinfo)
News engine: expand sentiment keywords (18%→60% headline coverage), add
MyFXBook RSS as fallback calendar source when Forex Factory returns 429,
add retry/backoff on calendar API rate limits, update stale ForexLive URL
to investinglive.com, add date formats without seconds for MyFXBook RSS.
Telegram bot: remove flood control, rate limiter, and dashboard failure
tracking — all sends go directly through bot.send_message/edit_message_text.
BUY-only strategy for gold: enters when M15 RSI drops below oversold
threshold while price remains above EMA200 on all three timeframes
(M15, H1, H4). Uses ATR-based TP/SL (0.7x/2.0x) sized from M15 ATR.
Isolated to XAU/USD only — other pairs completely unaffected.
- Drop USD/JPY from scan pairs (zero signals across all timeframes)
- Disable divergence indicator (zero impact in 14-config lab test)
- Parallelize evaluate.py with ProcessPoolExecutor (16 cores)
- Add --pair CLI filter to evaluate.py for single-pair backtests
- Add data freshness guard: stale cache auto-invalidated, primary TF
stale data suppresses signals to prevent trading on old data
- Add /cache command: shows fetch age and last bar per pair/TF
- Add /clearcache command: wipes in-memory cache for fresh API fetch
- Remove BB from WebSocket breach alerts (keep structural levels only)
- Show live prices only for WS-monitored pairs (EUR/USD, XAU/USD)
- Replace arrow emojis with text tags in indicator lines
XAU/USD is not available in TwelveData's symbol list.
Swapped to USD/CAD across config, scan pairs, Telegram buttons,
and added CAD to tracked news currencies.
Expand from 2 to 4 pairs (EUR/USD, USD/JPY, GBP/USD, XAU/USD) with
automatic scanning at M15 and H1 candle close boundaries. Scheduler
staggers H1 by 60s to stay within 8 credits/min; daily budget is
480 of 800 allowed. Cache TTL is now candle-duration-aware so cross-TF
confirmation data is reused without extra API calls. Spread estimate
uses primary-TF data instead of fetching M5 separately.
Add EURUSD pair with dynamic pair info lookup. Telegram bot now shows
4 scan buttons: EUR/USD 15M, EUR/USD 1H, USD/JPY 15M, USD/JPY 1H.
Each indicator displays directional arrows in the message output.
Price formatting adapts per pair (5dp for EUR, 3dp for JPY).
Remove backtest.py, backtest_gpu.py, metrics.py, local CSV data,
Dukascopy loader, and all backtest CLI modes from main.py. Rebalance
engine weights: leading indicators (divergence, RSI, stochastic, BB)
now carry 66% of signal weight vs 34% for lagging (EMA, MACD). Add
ws_twelvedata.py for live tick streaming. Drop pyarrow and tqdm deps.
Session filter restricts trades to a UTC hour window (default 07-16,
London + NY) — opt-in via --session-filter, with --session-start /
--session-end overrides. Wired into both the backtester (cheap hour
check next to the regime gate) and live mode (downgrades signal to
NEUTRAL/F when current UTC hour is outside the window).
Auto-toggle (--auto-session-filter) tracks rolling mean pnl_pct over
the last N closed trades; when it falls below threshold, the session
filter activates, releasing once expectancy recovers. Default lookback
10 trades, threshold -0.3%.
Trade dataclass extended with diagnostic fields captured at entry:
entry_hour, entry_dow, ADX, ATR%, market_regime, volatility_regime,
mtf_agreement. These let --journal-csv exports surface loss-pattern
clusters when a window underperforms.
Validated on 2024 trend / 2023 chop / 2026 recent windows. Auto-toggle
preserves ~50% of trend edge while still cutting ~25% of recent-regime
losses — pure regime filter is still best on cumulative, so both
session flags ship default-off.
Framework:
- TechnicalConfig.disabled_indicators skips named indicators in engine.analyze
- Optimizer supports disable_indicator override for parallel ablation sweeps
- main.py --ablate runs leave-one-out across all 10 directional indicators
Cleanup applied (validated across 2024 trend / 2023 chop / 2026 recent):
- Drop pivot by default (cumulative +9.5% to disable)
- Drop candlestick by default (+3.4% cumulative)
- Regime-gate ichimoku: 1.3x in trending, 0.2x in ranging (was a chop villain)
- Trim RSI weight 1.0 -> 0.3 (cumulative noise across regimes)
Result: +10.60% on 2024 trend (+33.24% -> +43.84%, Sharpe 2.17 -> 2.77),
+15.71% on 2023 chop (-18.27% -> -2.56%). Recent regime still adverse.
Harwinder Sekhon
harry