multi agent swarn for indian intraday trading system | Friends of the Crustacean 🦞🤝 | Page 1

wheat bloomBOT Apr 29, 2026, 7:15 AM

#

To help others find answers, you can mark your question as solved via Right click solution message -> Apps -> ✅ Mark Solution

vivid vesselBOT Apr 29, 2026, 7:18 AM

#

You can build this with OpenClaw, but I’d strongly recommend not making an LLM place live trades directly. Use agents for research/orchestration, and keep execution/risk in deterministic code with hard limits.

Windows 11 setup: use WSL2 Ubuntu for OpenClaw; it’s the recommended/stabler path. Docs: https://docs.openclaw.ai/platforms/windows and https://docs.openclaw.ai/start/getting-started

Suggested architecture:

Market-data agent
Pulls broker/data API feeds, cleans symbols, stores candles/ticks.
Strategy agents
Test rule-based strategies only: VWAP, breakout, mean reversion, options rules, etc. Avoid “AI predicts stock price” as the core signal.
Backtest/paper-trade agent
Runs historical tests + paper trading before anything live.
Risk manager agent
Hard-coded limits: max daily loss, max position size, max orders/sec, stop-loss required, kill switch.

#

Execution service
A Python/FastAPI service talks to your broker API. The agent may request an order, but the service validates it before sending.
Supervisor/OpenClaw agent
Summarizes status, asks for confirmation, logs trades, alerts you on Telegram/Discord.

Important India-specific compliance note: SEBI/NSE retail algo rules now matter. NSE’s implementation standards require static IPs for client API access, daily API session logout before the next trading day, order-per-second limits, algo registration/tagging rules, audit trails, OAuth/2FA-style controls, and broker-side risk checks. SEBI’s later circular says the Feb 2025 algo framework plus exchange operational modalities applies to all stock brokers from April 1, 2026. (nsearchives.nseindia.com)

If you’re just starting, build in this order:

WSL2 + OpenClaw
→ Python trading service
→ historical backtest
→ paper trading
→ broker API sandbox/small live test

#

→ live only with kill switch + manual approval

For OpenClaw-specific setup help, paste:

openclaw --version

and tell us which broker API you plan to use.

light vortex Apr 29, 2026, 7:22 AM

#

Kiteconnect

vivid vesselBOT Apr 29, 2026, 7:23 AM

#

Kite Connect is a good choice for the broker/data layer. I’d structure it like this:

OpenClaw supervisor agent
  ├─ data agent: Kite WebSocket ticks/candles
  ├─ strategy agents: rule-based signals only
  ├─ risk agent: max loss, position size, stop-loss, kill switch
  └─ executor service: Python/FastAPI -> Kite Connect API

Key rules:

Run OpenClaw on WSL2 Ubuntu on Windows 11; it’s the recommended/stabler path. (docs.openclaw.ai)
Don’t let the LLM place orders directly. It should propose/monitor; your Python service should validate and execute.
Kite Connect auth needs api_key, api_secret, redirect login, then an access_token; keep api_secret server-side, not in frontend or chat logs. (kite.trade)
Use Kite WebSocket for live ticks/order updates; Kite documents up to 3000 instruments per WebSocket connection and up to 3 WebSocket connections per API key. (kite.trade)
When placing orders, remember: receiving an order_id does not mean execution happened. Confirm via order history, trades, WebSocket order updates, or postbacks. (kite.trade)

#

SEBI’s retail algo framework applies to all stock brokers from April 1, 2026, so check Zerodha/Kite’s current static IP, algo tagging/registration, and API compliance requirements before going live. (sebi.gov.in)

Build order:

1. WSL2 + OpenClaw
2. Python Kite Connect service
3. historical backtest
4. paper trading / dry-run mode
5. risk checks
6. manual approval before live orders
7. only then automate small size

For OpenClaw setup, once installed, paste:

#

openclaw --version
openclaw status --all

Then we can help wire the agent + Python service cleanly.

light vortex Apr 29, 2026, 7:30 AM

#

so I have installed openclaw in my windows and I am using it so can't uninstall. can i install it in wsl too? how to differentiate?

vivid vesselBOT Apr 29, 2026, 7:31 AM

#

Yes — you can install OpenClaw in Windows native and WSL2 at the same time. They are separate installs.

How to tell them apart:

Windows PowerShell

where openclaw
openclaw --version
openclaw status --all

WSL Ubuntu terminal

which openclaw
openclaw --version
openclaw status --all

#

They also use separate config/state:

Windows: C:\Users\<you>\.openclaw\
WSL:     /home/<you>/.openclaw/

Main warning: don’t run two Gateways on the same port. Default is 18789.

Best setup if you keep Windows OpenClaw running:

Install inside WSL:

curl -fsSL https://openclaw.ai/install.sh | bash

Set WSL OpenClaw to another port, e.g. 18790:

#

openclaw config set gateway.port 18790
openclaw onboard --install-daemon
openclaw gateway status

Then you can treat them like:

Windows OpenClaw dashboard: http://127.0.0.1:18789
WSL OpenClaw dashboard:     http://127.0.0.1:18790

Also avoid using the same Telegram/Discord/WhatsApp bot account in both Gateways at the same time, or replies can get confusing.

Docs:
https://docs.openclaw.ai/platforms/windows

#

https://docs.openclaw.ai/start/getting-started

light vortex Apr 29, 2026, 9:30 AM

#

openclaw --version
openclaw status --all
OpenClaw 2026.4.26 (be8c246)

🦞 OpenClaw 2026.4.26 (be8c246) — More integrations than your therapist's intake form.

│
OpenClaw status --all

Overview
┌────────────────────┬────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ Item │ Value │
├────────────────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ Version │ 2026.4.26 │
│ OS │ linux 6.6.87.2-microsoft-standard-WSL2 (x64) │
│ Node │ 22.22.2 │
│ Config │ ~/.openclaw/openclaw.json │
│ Dashboard │ http://127.0.0.1:18789/ │
│ Tailscale exposure │ off │
│ Channel │ stable (default) │
│ Update │ pnpm · up to date · npm latest 2026.4.26 │
│ Gateway │ local · ws://127.0.0.1:18789 (local loopback) · unreachable (timeout) │
│ Security │ Run: openclaw security audit --deep │
│ Gateway self │ unknown │
│ Gateway service │ systemd installed · enabled · running (pid 594103, state active) │
│ Node service │ systemd not installed │
│ Agents │ 1 total · 0 bootstrapping · 0 active · 0 sessions │
│ Secrets │ none │
└────────────────────┴─────────────────────────────────────────────────────────────────────────────────

vivid vesselBOT Apr 29, 2026, 9:30 AM

#

Nice, this shows you are already running the WSL2 install:

OS linux ... microsoft-standard-WSL2
Config ~/.openclaw/openclaw.json
Gateway service systemd installed

The problem is: systemd says the service is running, but the Gateway is not reachable on 127.0.0.1:18789.

Because you also have Windows OpenClaw, I’d give the WSL Gateway its own port to avoid confusion:

openclaw config set gateway.port 18790
openclaw gateway install --force
openclaw gateway restart

#

openclaw gateway status
openclaw status --all

Then the WSL dashboard should be:

http://127.0.0.1:18790/

If it still says unreachable, paste this output:

openclaw gateway status --deep
openclaw logs --follow

#

Look especially for Last gateway error, EADDRINUSE, config mismatch, or auth/bind errors.

Docs for this bit:
https://docs.openclaw.ai/platforms/windows
https://docs.openclaw.ai/help/faq#gateway-ports-already-running-and-remote-mode

light vortex Apr 29, 2026, 9:36 AM

#

openclaw gateway status

🦞 OpenClaw 2026.4.26 (be8c246) — I'm not AI-powered, I'm AI-possessed. Big difference.

│
◇
Service: systemd (enabled)
File logs: /tmp/openclaw/openclaw-2026-04-29.log
Command: /usr/bin/node /home/atish/.npm-global/lib/node_modules/openclaw/dist/index.js gateway --port 18790
Service file: ~/.config/systemd/user/openclaw-gateway.service
Service env: OPENCLAW_GATEWAY_PORT=18790

Config (cli): ~/.openclaw/openclaw.json
Config (service): ~/.openclaw/openclaw.json

Gateway: bind=loopback (127.0.0.1), port=18790 (service args)
Probe target: ws://127.0.0.1:18790
Dashboard: http://127.0.0.1:18790/
Probe note: Loopback-only gateway; only local clients can connect.

Runtime: running (pid 654596, state active, sub running, last exit 0, reason 0)
Warm-up: launch agents can take a few seconds. Try again shortly.
Connectivity probe: failed
Probe target: ws://127.0.0.1:18790
timeout
Capability: unknown

Port 18790 is already in use.

pid 654596 atish: openclaw-gateway (127.0.0.1:18790)
Gateway already running locally. Stop it (openclaw gateway stop) or use a different port.
Listening: 127.0.0.1:18790
Troubles: run openclaw status
Troubleshooting: https://docs.openclaw.ai/troubleshooting

vivid vesselBOT Apr 29, 2026, 9:37 AM

#

Good — this is closer. The important bit:

Port 18790 is already in use.
- pid 654596 atish: openclaw-gateway (127.0.0.1:18790)

That’s not a Windows conflict now. It’s the WSL OpenClaw Gateway itself listening on 18790.

The real issue is:

Connectivity probe: failed ... timeout

So the process is running/listening, but not answering the Gateway probe.

#

Try this once:

openclaw gateway restart
sleep 10
openclaw gateway status
openclaw status --all

If it still times out, paste the log/error lines from:

openclaw logs --follow

or safer, just the last 200 lines:

#

tail -n 200 /tmp/openclaw/openclaw-2026-04-29.log

Also run:

openclaw doctor

Most likely causes now are startup hang, config validation/plugin issue, or Gateway boot error after binding the port. The log will tell us which one.

Your WSL dashboard should be:

http://127.0.0.1:18790/

#

Docs: https://docs.openclaw.ai/help/faq#gateway-ports-already-running-and-remote-mode

light vortex Apr 29, 2026, 9:43 AM

#

i can login into wsl dashboard but getting same error in openclaw gateway status

vivid vesselBOT Apr 29, 2026, 9:44 AM

#

If you can open/login to the WSL dashboard on 18790, that means the Gateway is at least serving HTTP. The remaining gateway status timeout is probably the CLI WebSocket probe failing/slow — annoying, but not always fatal.

Please test the real thing first:

Open:

http://127.0.0.1:18790/

Send a simple chat message in the dashboard:

reply with only OK

If the agent replies, you can continue setup.

For diagnostics, run these inside WSL:

#

openclaw gateway status --timeout 30000
openclaw health --verbose
openclaw doctor

If only the probe is noisy, this command checks service state without the probe:

openclaw gateway status --no-probe

If chat does not reply, paste the last log lines:

tail -n 200 /tmp/openclaw/openclaw-2026-04-29.log

#

Don’t paste any tokens/passwords if they appear.

light vortex Apr 29, 2026, 10:00 AM

#

Agent failed before reply: No API key found for provider "openai". Auth store: /home/atish/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/atish/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add <id>) or copy auth-profiles.json from the main agentDir. | No API key found for provider "openai". Auth store: /home/atish/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/atish/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add <id>) or copy auth-profiles.json from the main agentDir.
Logs: openclaw logs --follow

vivid vesselBOT Apr 29, 2026, 10:01 AM

#

Good, now we found the real blocker: WSL OpenClaw has no model auth configured.

Your Windows OpenClaw auth/key is separate from WSL. WSL uses:

/home/atish/.openclaw/agents/main/agent/auth-profiles.json

Fix inside WSL Ubuntu:

openclaw configure --section model

Choose your provider/auth option and enter the API key there. Don’t just export OPENAI_API_KEY=... in the shell unless you know how to pass it into the systemd service — the Gateway service may not inherit your shell env.

Then run:

#

openclaw gateway restart
openclaw models status
openclaw status --all

Test again in the WSL dashboard:

reply with only OK

If you want to use a ChatGPT/Codex subscription route instead of an OpenAI Platform API key, use the OpenAI/Codex auth option in the model setup wizard.

Docs:
https://docs.openclaw.ai/providers/openai
https://docs.openclaw.ai/help/faq-models

light vortex Apr 29, 2026, 10:18 AM

#

10:14:37+00:00 warn agent/embedded {"subsystem":"agent/embedded"} {"event":"embedded_run_agent_end","tags":["error_handling","lifecycle","agent_end","assistant_error"],"runId":"a9596ea4-338f-4c88-ab9a-fe9e44b0dcea","isError":true,"error":"Ollama API stream ended without a final response","failoverReason":null,"model":"qwen3-vl:2b","provider":"ollama","rawErrorPreview":"Ollama API stream ended without a final response","rawErrorHash":"sha256:f333e9b3437a","providerRuntimeFailureKind":"unclassified"} embedded run agent end

getting this in logs. and no reply on chat for Hi

vivid vesselBOT Apr 29, 2026, 10:18 AM

#

That log means OpenClaw is now reaching the model provider, but the selected model is failing:

provider: ollama
model: qwen3-vl:2b
error: Ollama API stream ended without a final response

So the Gateway/dashboard/auth part is mostly past the earlier blocker. This is now an Ollama/model issue.

qwen3-vl:2b is a tiny vision model; I would not use it as the main OpenClaw agent model, especially for tool use/trading automation. Switch to a stronger text/coding-capable model or a cloud provider.

Inside WSL, run:

curl http://127.0.0.1:11434/api/tags

#

openclaw models list --provider ollama
openclaw models status

Then test the exact failing model directly:

openclaw infer model run \
  --model ollama/qwen3-vl:2b \
  --prompt "Reply with exactly: OK"

If that fails too, switch models:

#

openclaw configure --section model

or:

openclaw models set ollama/<model-from-your-list>
openclaw gateway restart

Then test dashboard again with:

reply with only OK

#

For this kind of multi-agent trading project, I’d honestly use Ollama only if you have a strong enough local model/GPU. Otherwise use a cloud model for the OpenClaw supervisor/coding agents, and keep Kite order execution in deterministic Python code.

Docs:
https://docs.openclaw.ai/providers/ollama
https://docs.openclaw.ai/cli/models

#

They’re on Windows 11, running OpenClaw inside WSL2 Ubuntu.

Their status showed:

OS linux 6.6.87.2-microsoft-standard-WSL2 (x64)

So the active OpenClaw install we’re debugging is the WSL/Linux one, not native Windows.

#

I’d be careful with that. Don’t install/run an unknown “custom troubleshooter” unless it’s from an official/trusted OpenClaw source.

Use the built-in diagnostics first:

openclaw doctor
openclaw status --all
openclaw models status

If doctor suggests safe repairs, then:

openclaw doctor --fix

For Atish’s current issue, the log points more to Ollama model failure (qwen3-vl:2b) than a Gateway install problem, so the likely fix is switching/testing the model:

#

openclaw models list --provider ollama
openclaw infer model run --model ollama/qwen3-vl:2b --prompt "Reply with exactly: OK"
openclaw configure --section model

Docs: https://docs.openclaw.ai/gateway/doctor and https://docs.openclaw.ai/providers/ollama

light vortex May 1, 2026, 6:46 AM

#

now it is working

openclaw --version
OpenClaw 2026.4.27 (cbc2ba0)

│ Version │ 2026.4.27 │
│ OS │ linux 6.6.87.2-microsoft-standard-WSL2 (x64) │
│ Node │ 22.22.2 │
│ Config │ ~/.openclaw/openclaw.json │
│ Dashboard │ http://127.0.0.1:18878/ │
│ Tailscale exposure │ off │
│ Channel │ stable (default) │
│ Update │ pnpm · npm update 2026.4.29 │
│ Gateway │ local · ws://127.0.0.1:18878 (local loopback) · reachable 50ms · auth token+password · DESKTOP-P0NQSPA (172.19.232.184) app 2026.4.27 linux 6.6.87.2-microsoft-standard-WSL2 │
│ Security │ Run: openclaw security audit --deep │
│ Gateway self │ unknown │
│ Gateway service │ systemd installed · enabled · running (pid 1214145, state active) │
│ Node service │ systemd not installed │
│ Agents │ 1 total · 0 bootstrapping · 1 active · 2 sessions │
│ Secrets │ none

#multi agent swarn for indian intraday trading system