Harwinder Sekhon
1f4741b557
Agent panel v2: personas return p_win anchored to the book base rates with a code-computed decision context; verdict = equal-weight mean (verdict_source "mean"); only the macro persona runs live (agent_panel.personas ["macro"]); prompt version and exact payloads logged; offline replay harness scripts/panel_replay.py; base-rate table agent_panel_base_rates.json (scripts/build_panel_base_rates.py). Backtester `strategy` column now carries the generator's own stamp (label-only; five reference books re-pinned, all 62 other columns identical). News corpus (after evaluating the owner's ML-NEWS scikit model against DeepSeek: golden set 39/78 vs 78/78, out-of-sample agreement 64% against a 90% self-agreement ceiling; verdict: fallback only, not a replacement): - NewsSentiment.xau_score + archive column xau_score keep DeepSeek's gold score for every headline (930 of the first 1,546 DeepSeek rows had none); an existing newsdata.db gains the column in place on first open - headlines naming no tracked currency are scored and archived (currencies_json []) but never returned to the platform - _apply_llm_sentiment sends every new headline in its cycle, 25 per call; a failed call ends the cycle's sending Dashboard publisher never writes a database: main() calls app_config.set_db_writes_for_process(False), honoured by signal_log_enabled() and news_archive_enabled() (owner decision: the bot is the single writer). Test suite: the hermetic app config now points both writers at a suite-private temp dir — the RSS fixture tests were writing fixture headlines into the real logs/newsdata.db — with a Module 32 test pinning it. 529 tests. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
70 lines
1.6 KiB
JSON
70 lines
1.6 KiB
JSON
{
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"telegram": {
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"token": "123456789:REPLACE_WITH_YOUR_BOT_TOKEN",
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"chat_id": "REPLACE_WITH_OWNER_CHAT_ID",
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"channel_id": "-100REPLACE_WITH_CHANNEL_ID_OR_EMPTY_STRING",
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"alert_min_quality": "C"
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},
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"data_providers": {
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"active": "oanda",
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"streaming": "tiingo",
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"twelve_data": {
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"api_key": "REPLACE_WITH_YOUR_TWELVE_DATA_API_KEY"
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},
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"oanda": {},
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"tiingo": {
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"api_key": "REPLACE_WITH_YOUR_TIINGO_API_KEY_OR_EMPTY"
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}
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},
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"scanning": {
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"pairs": ["XAU/USD"],
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"timeframes": ["M5", "M15", "H1", "H4"]
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},
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"pairs": {
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"XAU/USD": {
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"blocked_hours_utc": [0, 1, 2, 10, 11, 13, 16, 21]
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}
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},
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"oanda": {
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"api_token": "REPLACE_WITH_API_TOKEN",
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"base_url": "https://api-fxpractice.oanda.com"
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},
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"deepseek": {
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"api_key": "REPLACE_WITH_YOUR_DEEPSEEK_API_KEY_OR_EMPTY",
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"model": "deepseek-v4-flash",
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"enabled": true,
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"timeout_seconds": 12,
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"daily_request_cap": 500
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},
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"agent_panel": {
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"enabled": false,
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"telegram": true,
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"dashboard": false,
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"min_quality": "B",
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"max_panels_per_day": 20,
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"reuse_ttl_seconds": 3600,
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"candles_enabled": true,
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"candle_bars_primary": 20,
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"candle_bars_confirm": 10,
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"verdict_source": "mean",
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"personas": ["macro"]
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},
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"violent_watch": {
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"enabled": false,
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"alert_line": true,
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"headsup": true,
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"max_headsup_per_day": 12,
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"headsup_min_level": "hot"
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},
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"signal_log": {
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"enabled": true,
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"path": "logs/signals.db",
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"log_blocked_scans": true
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},
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"news_archive": {
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"enabled": true,
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"path": "logs/newsdata.db"
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},
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"log_level": "INFO"
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}
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