The app is past being built and into being changed continually, but the
documents still read as a project being executed: the plan opened by telling its
audience to work top-to-bottom, and §13 listed M0 through M10 as a queue when
all of them shipped days ago.
The milestones stay, marked as shipped. Their "Done when" criteria describe
correct behaviour and several have become tests, so they are worth more as a
specification of working subsystems than they would be archived. If one stops
matching reality, that is a bug in the document.
AGENTS.md now says when to update each, because both decay unless it is part of
finishing the work rather than tidying afterwards. The plan changes when a
decision changes. The log gains an entry when a fix was not obvious — the bar
being "would this have saved someone an hour", not every fix, because a log of
trivia stops being read and takes the useful entries down with it.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
One file was trying to be two things: a spec written to be executed
top-to-bottom, and a dated record of everything that went wrong on the way. At
1,882 lines it did neither well, and the log was 36% of it — which is why the
plan's opening went unmaintained for days while the log grew every hour.
docs/plan.md keeps the decisions and the reasoning behind them, including the
risk register. docs/implementation.md takes the dated entries: the problems, the
wrong theories, the measurements that settled them. Git already says what
changed; that file says why it was hard, which is the part worth reading before
debugging something similar. Most entries describe something that looked like
one bug and turned out to be another.
Each points at the other, and the four referring files — AGENTS.md, README.md,
NEXT_STEPS.md and async_refactor.md — now point at whichever half they meant.
Git tracked the rename, so history follows plan.md rather than starting over.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
- Duplicate and delete from the line context menu.
- Copies shift ten bars right.
- Default names are up and down; copies become up 2, down 2, etc.
- Exact local data receipt time including seconds.
- Deployment timestamp removed.
- Test cleanup no longer deletes drawings created from your browser.
- JWT password session flow.
Production shows yahoo with a ten minute delay because LIVE_SOURCE=schwab lives
in .env, which is gitignored and so has never been deployed. Nothing in the repo
can carry it, and that is deliberate — but it means the switch is invisible
until someone looks at the status line and wonders.
Written down: the three Coolify variables, the token file that has to land on
the persistent volume, and two things easy to get wrong. The local token needs
no new login because it was minted against the production callback and Schwab
binds tokens to the app rather than the machine. And the dev stream has to stop
first, because one refresh token means one streaming connection and the two
installs will fight over it.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
LIVE_SOURCE=schwab locally. Seeding stays on Yahoo, which is enforced in the
factory rather than left to configuration.
The portal's "Order Limit: 120" caps orders per minute and this app places none;
Schwab's separate REST limit is commonly cited at the same number. Neither binds
here, because streaming is not REST — one socket, bars pushed, essentially no
REST traffic in steady state. Worth recording as a reason the stream beats the
polling fallback beyond latency: polling quotes once a second would have sat at
half the limit permanently.
Reconnects are the exception. Each calls get_user_preferences() for the socket
URL, and the retry backoff is five seconds, so a sustained outage costs about
twelve REST calls a minute — under the limit, but a reason not to shorten that
backoff without thinking.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Verified against a live account before and after writing it. CHART_FUTURES
delivers one true-OHLCV minute bar per symbol per minute, LEVEL_ONE_FUTURES
reports delayed: false, and consecutive bars arrived sixty seconds apart through
the production code path.
Yahoo stays. Schwab serves no futures history whatever, so seed_source resolves
to Yahoo even when SEED_SOURCE=schwab is asked for — the pairing is the intended
configuration rather than a fallback. The symbols differ, ES=F against /ES, so
Settings.live_symbol picks the live one while seeding always uses Yahoo's.
Three findings worth keeping, each of which cost a round trip:
- get_quote() singular returns the wrong instrument entirely. It puts the symbol
in the URL path, where the leading slash is normalised away, so /ES resolves to
Eversource Energy at $72 and returns HTTP 200 with a populated body. Only
get_quotes() plural, which passes symbols as a query parameter, returns the
future. A 200 is not evidence; assetMainType is.
- Streaming requires the Accounts and Trading product. StreamClient.login() reads
/trader/v1/userPreference for its socket URL, and that path does not exist in
Market Data Production.
- /ES resolves to the active contract on Schwab's side, so the contract roll
handling the plan left open needs no code.
The stream drops the oldest queued message rather than stalling the socket, and
surfaces a dead pump task instead of waiting forever on a queue nothing fills.
schwab-py moves into requirements.txt, imported only when LIVE_SOURCE=schwab.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
There was no way to say "tell me when ES reaches 7800". The only user-settable
alert was a drawn trendline, placed by clicking two points on a canvas — so you
could not hit an exact price, and making the line flat was fiddly.
A price alert is a manual line with zero slope. Reusing that rather than
building a parallel concept means it inherits JSON persistence, renaming,
recolouring, deletion, clustering, and the rule that a hand-placed level alerts
whatever its confluence score. The only genuinely new code is the input, an
endpoint that takes a price instead of two anchors, and the decision to render
zero-slope manual lines as price lines — which spans the chart and labels the
axis, instead of drawing a stubby two-point segment.
Zero-slope lines also skip drag handles, hit-testing and the "end line here"
menu: a price line has no endpoints to grab. They are managed from the sidebar.
Unlabelled alerts are named by their price, since "1d resistance" does not say
which alert fired.
Verified live: a level typed 25 points above price clusters as resistance at
that price and stays quiet, as it should until price arrives.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Suppression matched on cluster side as well as position, but side is positional:
a level sitting at price is resistance when price is a tick below it and support
a tick later. Every crossing failed the side match and fired as a brand-new
zone — which is exactly when a level is least newsworthy, not most.
Found the honest way. A flat line placed at the live price produced four phone
pushes in two minutes.
Zones are now matched on position alone. Side still determines whether the
message reads BULLISH or BEARISH; it just no longer decides whether you are told
twice. Over the same six replayed sessions at threshold 28 that is 40 alerts
down to 26, and 10 at the configured four-hour cooldown with a worst session
of 5.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Cooldown state is in memory, so every restart begins with an empty fired-zone
table and the first closed bar re-alerts whatever zone price is sitting on.
Locally, with --reload, that is every file save — which would push a stream of
duplicates to a phone sharing the production topic.
Also records that a production deploy resets cooldowns for the same reason, and
that ntfy topics are public in both directions.
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>
Resolves main.py: the branch's application supersedes the placeholder, and
/api/version + /api/health now live in app/api/meta.py so bin/wait-deploy
keeps working.
Planning-only commit: no application code yet.
The plan specifies a realtime /ES chart that derives moving averages and
trendlines across multiple timeframes, projects them onto one chart in a
shared (time, price) plane, and alerts when levels from different
timeframes converge.
Key findings that shaped it, all verified against source rather than
assumed:
- Schwab streams realtime futures fine (CHART_FUTURES, LEVEL_ONE_FUTURES)
but provides no futures price *history* at all. An account does not
change this; it is an API-surface limit.
- Yahoo's chart endpoint needs no key and has exactly what Schwab lacks:
~730d of hourly ES=F (~750 sessions), enough to warm a 200DMA from
startup. So it serves as both the no-keys dev source and the history
seeder, behind one MarketDataSource protocol.
- Yahoo anchors daily bars to midnight ET while the CME session runs
18:00-17:00 ET, so daily bars are built from hourly using our own
session rules instead.
- Lightweight Charts v5 replaced addCandlestickSeries() with
addSeries(CandlestickSeries, ...); most tutorials online are v4.
Build order defers judgment-heavy work: moving averages first (fully
deterministic), then confluence scoring, then hand-drawn trendlines.
Automatic trendline detection comes last, tuned against the hand-drawn
lines as ground truth.
Includes a real trimmed Yahoo response as a test fixture; it contains a
null in the OHLC arrays, which is the parsing case that needs handling.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
