Avanza-AI-trading-terminal
CLAUDE.md1 starsChanged 17 days agoMITView on GitHub
Guidance for Claude Code in this repo. The terminal's AI panel (terminal/ai.py) also runs claude -p with this directory as cwd, so these rules govern that assistant too. A local trading terminal (FastAPI backend + static JS UI) with Avanza integration, plus a read-only portfolio MCP server and an on-demand portfolio brief skill. Split out of Algorithmic_trading_projects on 2026-09-24 so the terminal can be redesigned and deployed as its own project. That repo still holds the strategies, backtests and IBKR…
- Reads credentials
In this repository3 other files it gives its agents.
- web/AGENTS.mdAGENTS.md
- web/CLAUDE.mdCLAUDE.md
- portfolio-briefSkill
The file
We split this CLAUDE.md into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Very specific: line 43
This repo is intended to go public: Never commit .env, alerts_config.json (push-alert topic + capital), portfolio_mcp/ticker_map.json …
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
CLAUDE.md
Guidance for Claude Code in this repo. The terminal's AI panel (terminal/ai.py)
also runs claude -p with this directory as cwd, so these rules govern that
assistant too.
What this is
A local trading terminal (FastAPI backend + static JS UI) with Avanza
integration, plus a read-only portfolio MCP server and an on-demand portfolio
brief skill. Split out of Algorithmic_trading_projects on 2026-09-24 so the
terminal can be redesigned and deployed as its own project. That repo still
holds the strategies, backtests and IBKR execution stack.
Commands
python3.13 -m terminal.app # terminal at http://127.0.0.1:8777 (--port to change)
python3.13 -m terminal.avanza_setup # TOTP activation helper; --login tests a real login
uv --directory . run --python 3.13 --with "mcp<2" --with pandas --with certifi --with yfinance \
python -m portfolio_mcp.server # read-only portfolio MCP (see portfolio_mcp/README.md)
python3.13 -m pytest -q # unit tests: fakes only, no network, no Avanza logins
AVANZA_USERNAME= AVANZA_PASSWORD=<your-password> AVANZA_TOTP_SECRET=<your-totp-secret> python3.13 -m terminal.app --port 8791
# run with Avanza disabled (empty env beats .env)Tests cover the v2 API (terminal/api_v2.py, contract in docs/API.md). For
everything else, verify by running the terminal and using the feature. Never
write a test that logs in to Avanza — logins are throttled (HTTP 401 after
~15 in a day).
Config: ALPHAVANTAGE_API_KEY (disclosures, optional). The AI panel's personal
profile is profile.local.md (gitignored; template profile.example.md).
Local runtime data (trade plans, API caches) lives in gitignored data/.
Hard rules
- Never place, modify or cancel an order — through Avanza, the terminal,
the MCP servers or anything else — unless the user gives a very explicit,
unambiguous instruction to do so (he has said he will not). The Avanza API
here is unofficial and the account is funded.
portfolio_mcpis read-only by an immutable allowlist of four read endpoints; never add a write path to it. - This repo is intended to go public. Never commit
.env,alerts_config.json(push-alert topic + capital),portfolio_mcp/ticker_map.json(lists real holdings),profile.local.md(personal profile),data/, or any real amounts, positions, or account numbers — including as examples in docs or skills. Before any commit touching Avanza, portfolio or alert code, scan the staged diff for.envvalues, account identifiers and holdings names, printing counts only, never the values. - Account numbers never leave the process. Avanza's account
idis the account number; tools expose aliases (ISK, AF, SPARKONTO). - No silent failures. Several indicator/panel builders catch
Exceptionand return nothing, which hides breakage as "no data". Don't add more; when touching one, surface the error instead.
Trade discussion rules (AI panel and Claude Code alike)
Any discretionary trade suggestion needs, before entry:
- a predefined take-profit and stop-loss;
- an explicit gamma/theta/decay warning for leveraged, short-dated or 0DTE products — daily-reset certificates (BULL/BEAR X5 etc.) decay on choppy paths independent of direction;
- leverage capped at
100 / (3.5 × ATR%); - an earnings-date check. Courtage is charged on both legs; on small positions it can exceed the gain.
Architecture notes
terminal/feeds/avanza.py—AvanzaAuthis the single login path (env vars, cookie-jar session, local TOTP). A TOTP code is single-use per 30 s window; two logins in one window fail as a replay. Route throughensure().terminal/indicators.py— TTM Power Range lives here; it produced ~75% of realized profit historically, far more than any backtested strategy. Treat it as the core feature, not one indicator among many.screeners/andterminal/trend_compass.pywere copied from the old repo; trend compass is descriptive only (backtested: no forward-return edge).
Deployment direction
Planned: redesigned UI on Vercel. The backend holds a logged-in Avanza session, websocket streams and in-memory caches, so it needs a long-running host (Railway), not serverless functions — cold starts would re-login with fresh TOTP codes and drop streams. Any hosted backend or MCP HTTP transport must have enforced authentication before it serves account data.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

