config.py had no Schwab fields at all, so the keys listed in .env.example were
being silently dropped by extra="ignore". They exist now, blank, and nothing
reads them while live_source is yahoo.
The token path moves under data/, which is the Coolify persistent volume. Left
at the repository root it would vanish on every rebuild, and re-authenticating
is an interactive browser flow, not something a deploy can do for itself.
scripts/check_schwab.py answers empirically what the app is entitled to rather
than inferring it from documentation: whether the credentials authenticate,
whether /ES quotes return (futures market data is a separate entitlement from
equities), and whether the streamer bootstrap responds.
That last one is the decision. StreamClient.login() reads
/trader/v1/userPreference for its socket URL and credentials, and that path
belongs to the Accounts and Trading product — so an app registered for Market
Data Production alone cannot stream, and CHART_FUTURES is unreachable until the
app adds it. The script reports which of the two paths is open instead of
leaving it to be discovered halfway through an implementation.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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>
