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59 commits

Author SHA1 Message Date
8c2ef80966 Remove the 4h timeframe
It was never in the enabled timeframes, so it held zero bars and produced no
levels, but it still carried weight 8 in the scoring table and forced
bucket_start to special-case a wall-clock ET anchor whose entire purpose was
surviving DST transitions. That was the most intricate logic in session.py,
maintained for a timeframe nobody used.

Daily is now the only session-anchored bucket, which is a much easier rule to
state and to keep correct. The DST parametrised tests go with it; the Sunday
open and daily boundary cases remain.

Manual-line tests move to 1h, so the weight assertions drop from 8 to 4.

The plan document keeps its 4h examples — rewriting a dozen illustrative
sentences would churn more than it clarifies — but the timeframe-roles section
now records the removal so nothing reads as a spec to build.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-10 00:43:47 -05:00
8ca624d435 Add prior-day levels and session VWAP; fix alert repetition they exposed
The confluence engine had nothing to work with. Daily moving averages were the
only level source, and they sat 163 to 697 points from price, so every cluster
had exactly one member and no alert could ever fire.

Two new sources, chosen for having a real following — the engine is a bet that
many participants watch the same price, which is what makes a level hold:

- Prior day high/low/close, from the last *closed* daily bar so mid-session the
  levels do not silently switch to today's own developing range. Full daily
  weight rather than the 0.75 average discount: a traded high is structure, not
  a derived average.
- Session VWAP, anchored to the 18:00 ET open like the daily bars. Institutional
  execution is benchmarked against it, and zero-volume overnight minutes are
  skipped rather than dividing by zero.

Both are stamped 1d, so they get their own colours to stay distinguishable from
the daily averages. Prior-day levels draw as price lines, which span the chart
and label the axis instead of relying on bar-index interpolation.

VWAP re-prices every minute while a daily average carries hundreds of points and
changes once a session, so broadcasting the whole level set on the VWAP cadence
would have pushed the entire history every minute. Levels now go out as a delta
that clients merge by id.

Adding the levels then exposed two defects that had been invisible while nothing
could cluster:

- Cluster identity was sha1(side + round(center / tolerance)), and tolerance
  derives from ATR, so it changed every bar. The same zone was continually
  issued a new id, never matched the cooldown table, and the cooldown did
  nothing. Identity is now the set of converging levels.
- Alert suppression keyed on that identity, so a level drifting in or out of a
  group read as a new zone. It now suppresses by proximity: two zones within an
  ATR are the same zone, and the strongest is the one reported.

Over six replayed sessions at threshold 28 that is 247 alerts, then 54, then 40;
raising the cooldown to 4h — which only affects repeats of the same area, never
a genuinely new zone — gives 17 total with a worst session of 9.

calibrate_alerts.py now sweeps threshold and cooldown together in one pass,
since the threshold turns out to be quantised and nearly useless as a control.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-10 00:36:21 -05:00
9777188a43 end trendline here possible 2026-08-09 23:28:23 -05:00
512e94237a respositionable trendlines 2026-08-09 23:18:10 -05:00
6599c3cd77 trendlines namable deleteable 2026-08-09 23:00:46 -05:00
f7d0ffce8a Improve local chart development 2026-08-09 22:18:36 -05:00
49cd06089f Implement M5 manual trendlines 2026-08-09 20:55:05 -05:00
7f2fcc2020 Implement M3 projected daily moving averages 2026-08-09 20:44:11 -05:00
acc59817c4 Implement M1 live one-minute chart 2026-08-09 20:38:50 -05:00