New signal_log.py logs each SignalReport to logs/signals.db via a
fail-safe hook in SignalAggregator.analyze_pair — the live-only entry
point used by the bot, daemon, CLI and dashboard. Backtester calls
analyze_from_dataframes directly, so live==backtest parity is preserved
(test-locked). Rows carry signal/grade/price/spread, MTF + trade-setup +
reasons/warnings JSON, and news-at-scan-time (calendar events + scored
headlines JSON via NewsEngine class-level caches).
Config: signal_log block (enabled, path; env SIGNAL_LOG_ENABLED/PATH),
source tagged per consumer (telegram/oanda_daemon/cli/dashboard).
381 tests pass (24 modules).
Three display/warning-only upgrades to the news engine, all behind the
existing keyword path as fallback — signals are never gated on LLM
output (event_risk_caps_signals / sentiment_affects_signals stay False
per the 2026-07 audit; backtester use_news=False untouched):
- Headline sentiment: one batched call per 600s cache window (capped at
25 new headlines, sha1-cached so repeats are never re-sent) overrides
the keyword scores per currency with the gold-inverse doctrine encoded
in the prompt.
- Release surprises: get_event_risk_level's description now says which
way the print pulls GOLD ("— gold bearish: strong jobs lift yields"),
fixing the documented numeric-only gap; risk level and windows
unchanged.
- Market summary: 1-2 sentence macro blurb on SignalReport.news_summary,
rendered in Telegram alerts (📰) and the CLI (🧠).
New llm_client.py: requests-only OpenAI-compatible client (no SDK), one
attempt per call, UTC-day request cap, singleton so the cap survives
per-scan NewsEngine reconstruction. Config: deepseek block in
config.json + DEEPSEEK_API_KEY env; absent key = fully inert.
Live-measured API behavior baked in: V4-Flash is a hybrid thinking model
— requests send thinking:disabled (reasoning otherwise blew the timeout
and could exhaust max_tokens before the answer); prompts are static
module constants so DeepSeek's prefix cache prices repeat calls at the
cache-hit rate; scores use compact [s, xau] pairs; timeout 12s.
Tests 273 → 286 (new Module 19 + deepseek config tests).
Claude-Session: https://claude.ai/code/session_01Nsd8HcrV67GbCZXxZEn1Ma
The monitor has been dead since the Oanda feed switch (Oanda's provider
does not stream). New config.json scalar data_providers.streaming selects
a tick-stream provider independent of the candle feed; telegram_bot
resolves it via _get_streaming_dp() (separate instance, candle cache
stays on the active provider) and falls back to the active provider when
unset — behavior is byte-identical to before when the key is absent.
TiingoDataProvider grows the two sanctioned streaming overrides:
supports_streaming=True and iter_ticks() on wss://api.tiingo.com/fx
(mid price only — the no-spread rule extends to the stream). Two
deliberate divergences from the TD reference implementation, both
because Tiingo authenticates inside the socket: server "E" messages
raise TiingoDataError (a swallowed auth error would end the generator
cleanly and reconnect-hammer with zero backoff), and on_connect fires on
the first received message rather than after the subscribe send. Field
order of quote frames was live-verified: ask is data[7], not data[6] as
the docs table suggests (data[6] is askSize).
make_data_provider(config, name=None) now takes an explicit provider
name; keyless streaming providers disable the monitor with one warning
instead of a traceback-per-minute loop.
Tests 266 → 273 (WS parser, ticker round-trip, streaming config scalar,
explicit-name dispatch, streaming-dp resolution, monitor auto-disable).
Claude-Session: https://claude.ai/code/session_01Nsd8HcrV67GbCZXxZEn1Ma
One class per provider (TwelveData, Oanda, Tiingo), all subclassing
BaseDataProvider which owns cache, validation/cleaning, freshness +
boundary guarantees, fetch_range pagination, and streaming stubs —
subclasses implement only _fetch_raw. config.json data_providers.active
selects the live feed; data_provider.py / oanda_provider.py stay as
back-compat shims. Module 16 provider-abstraction tests (253 total green).
Claude-Session: https://claude.ai/code/session_01Mc7XKYyPySVXiUpcN82QEK
New independent trading daemon (oanda_daemon.py) that places orders on
an Oanda v20 practice account instead of sending Telegram alerts.
Oanda-only market data (oanda_provider.py, mid candles + real bid/ask
spread) through the unchanged signal pipeline; order execution and
trade management via oanda_executor.py (raw requests, no new deps).
Book parity with the backtester: no broker-side TP (exits = SL/TRAIL/
TIMEOUT only), bar-close-only trail ratchet with each closed bar
processed exactly once, 5-bar per-TF entry cooldown, structural SL
from the setup. Accepted divergence: one position total (skipped
signals logged for book reconciliation).
Safety/ops: fail-fast boot on rejected credentials (transient outages
continue), market orders never retried (double-fill risk), entry lock
against aligned-boundary races, restart recovery + adoption via
oanda_state.json, hourly heartbeat, asyncio exception handler, every
failure path logged. Prices formatted at instrument precision.
Config: env OANDA_* -> config.json "oanda" section (validated in
app_config). Tests: Module 15 (30 tests), suite 240 green.
Claude-Session: https://claude.ai/code/session_01VUnCqjWBuvKRSjLwHeB9BJ
Tiingo's free /tiingo/fx/top publishes only a two-tier indicative
spread for gold ($0.10 liquid hours / $0.70 rollover+news; verified on
273 production samples + live probes) — mid ± a posted increment, not
executable depth, so it can never validate the $0.30 backtest cost
assumption. Removed one day after shipping: tiingo_provider.py, the
sampler/quote plumbing in telegram_bot.py, the channel_spread_detail
config knob and tiingo_api_key resolver, and Module 14's Tiingo tests
(221 -> 210). CLAUDE.md documents the verdict: do not re-add a spread
display from Tiingo's free FX feed.
Claude-Session: https://claude.ai/code/session_01BoZKi67Ct6QTeiFJmybXSw
Five-agent audit of the signal path; all fixes are delivery/measurement
side. Regression-proven behavior-neutral on validated signals: the 5yr
M15 replay reproduces the pinned book exactly (+210.65R PF 1.35
WR 57.8% MaxDD 33.90R). Tests 215 -> 221.
- TradeSetup carries trail_arm_r/trail_dist_r stamped from the producing
config; Telegram trail plan reads them (was showing default 0.6/0.75
instead of the validated M15 arm 0.70 / M5 dist 0.85)
- Alert dedup: fingerprint = (signal, quality, direction); entry movement
compared against last-ALERTED entry/risk (old SL-dist bucket churned on
ATR drift -> near-duplicate alerts every candle)
- Fresh fetches enforce the closed-bar boundary check with one 3s grace
retry, then warn (feed lag no longer silently analyzes the prior bar)
- Backtest max DD includes the zero baseline (opening losing streaks
were undercounted; pinned M15 DD unchanged)
- Replay loads the regime-filter TF when the H4-ADX gate is on (was a
silent no-op for M5/M15 primaries)
- clear_cache under _cache_lock; dead ROC zero-cross branches removed
from both engines (provably unreachable); RSS dates via
parsedate_to_datetime (named zones no longer stamped UTC); event risk
grades from the soonest event; .env inline comments stripped;
auto-scan skips NEUTRAL like the breach path; report_to_dict honors
the weight-0 skip rule and emits strategy/trail params; PB funnel
counts spread_gate/accepted; session-filter fail-open paths log loudly
- Docs corrected to match validated code (H&S neckline = lower peak,
exhaustion anchors farthest tracked swing) with re-validation warnings
Claude-Session: https://claude.ai/code/session_01R5soRUeRBi8kHMB99csrJy
Harwinder Sekhon