The analyst prompts the model with trading rules, published skills,
account sizing inputs and prefetched market data, exposes read-only
tools plus submit_trade_plan, and validates and sizes the submitted plan
in pure functions covered by pytest. Manual analyses run as dry runs
while trading is stopped; the trading page shows the latest plan and an
analysis detail drawer.
Add trading_account.capital_usdt. Position sizing will use
min(capital, account equity); starting requires the capital to be set.
The trading page shows and edits it.
Add trading_symbols, trading_analyses, trading_orders and trading_events.
The new trader service publishes account, position and open-order
snapshots of the Binance demo account to Redis every 3s. The /trading
page shows engine status, start/stop, balances, positions, the symbol
list with angle selection, open orders and the event timeline.
Store demo API key/secret encrypted in a single-row trading_account table,
expose get/put/delete/test endpoints under /api/settings/exchange, and add
a settings card to enter and test the key. The client is hard-wired to
demo-fapi.binance.com.
- New chat tool get_derivatives: funding rate (next estimate and recent
settlements), premium, open interest change vs price, global and top
trader long/short ratios, taker buy/sell ratio from Binance public
endpoints. Each part fails independently.
- Strip whitespace from provider name and model; a leading space in the
model name made the upstream return 404.
- Retry connection failures and mid-stream disconnects (raw httpx /
httpx2 errors are not wrapped by the SDKs) up to 3 times while no
output has been emitted, and surface them as chat errors.
- Return 30 recent bars from get_klines instead of 60 to cut tokens.
- Providers get a default reasoning effort (low..max, empty = not sent);
chat can override it per message. OpenAI sends reasoning_effort,
Claude sends output_config.effort with adaptive thinking, and thinking
blocks are replayed during the tool loop.
- Show a thinking indicator while waiting for model output.
- Surface in-stream upstream errors (e.g. overloaded) instead of
breaking the SSE stream, and retry them up to 3 times when nothing
has been emitted yet.
- Model providers for OpenAI and Anthropic message formats (e.g. via
Sub2API), with API keys encrypted at rest and never returned
- Skills tree with markdown editing, priorities, drafts, publishing and
rollback; only published skills enter the chat prompt
- Chat page with tool calls over collected news and Binance USD-M
klines, a persisted CONTEXT.md, reset, and stop-generation support
- Chat may only create skill drafts and update CONTEXT.md; publishing,
deleting, moving and priority changes stay with the user
The news list API now takes page and limit and returns the total count
instead of a cursor, and the news page uses el-pagination with a
persisted page size.
Let the crawler console set a backfill target per source. Each scheduled
run pages backwards from a checkpoint for at most 20s so real-time
crawling is not blocked. The checkpoint is saved only after a successful
run and is also kept in process memory, because the next trigger may be
queued before the database write lands. cls_depth is excluded since its
list API cannot page into history.
- crawler manager: retry transient errors inside each loop, never let
log writes break supervision, run tasks in a TaskGroup so any escaped
error restarts the container instead of leaving a half-dead process
- market worker: tolerate symbols deleted mid-backfill, retry task
selection and symbol queries, run loops in a TaskGroup
- market WS: validate subscription messages and close the connection
when either the receive or forward side ends
- news pipeline: make first insert concurrency-safe with ON CONFLICT
- market API: only proxy ticker/1s klines for added symbols, map Binance
rate limits to 503 and upstream errors to 502 without blocking
- news API: escape LIKE wildcards in search, return 422 for bad cursors
- market page: cancel pending reconnect timer on unmount
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