OpenClaw Finance operates as a self-managed execution environment that converts strategy triggers into exchange orders through a controlled flow: check parameters → enforce exposure limits → dispatch orders → verify completion → record activity. Built for professionals and teams who value reliability, consistency, and full transparency across every trading decision.
The core is an execution runtime: connectors, validation, risk checks, order routing, and audit logs. The UI is a layer on top — designed to stay readable on mobile, with dense information presented as cards.
Converts strategy actions into exchange orders with consistent behavior: request normalization, risk checks, exchange constraints, retries, and confirmations. Handles partial fills and network errors as first-class cases.
Limits are enforced before orders are sent. Configure per-bot and portfolio caps, plus kill-switch rules that can pause trading when thresholds are crossed.
Every signal, decision, and order gets context: origin, parameters, checks applied, result, and timestamps. Useful for debugging strategies and reviewing behavior across volatility.
Optional helpers for parameter suggestions and summarization. The system stays rules-driven: AI can suggest, but the risk engine decides what is allowed.
OpenClaw Finance is built for traders who rely on process rather than impulse. Every strategy runs through a structured execution pipeline that validates parameters, applies portfolio limits, and routes orders with deterministic logic. Instead of reacting manually to volatility, you operate within predefined boundaries that protect capital and keep behavior consistent across market regimes.
The system prioritizes transparency. Each action — from signal intake to final fill — is recorded with context, allowing you to review decisions, understand why trades were resized or blocked, and refine strategies using real operational data. The result is an environment where automation supports discipline rather than replacing it.
Runs on VPS or home server. One command starts the web UI, workers, and connectors. No third-party scripts on this landing page.
# Installs OpenClaw Finance, all dependencies and the web UI. # Contact us to get api key $ curl -sSL https://open-claw-finance.com/install.sh -a YOUR_TOKEN_HERE | bash
# Contact us to get api key $ docker run -d --name OpenClaw Finance \ -e MOLT_PORT=8080 \ -v ~/.OpenClaw Finance:/app/data \ -e MOLT_TOKEN=YOUR_TOKEN_HERE \ ghcr.io/OpenClaw Finance/agent:latest
# Contact us to get api key $ npm i -g @OpenClaw Finance/cli $ moltbot init --token YOUR_TOKEN_HERE $ moltbot up
Each mode has its own parameters and constraints. On mobile this becomes tap-to-switch content with zero layout shifts. Visuals are intentionally different per mode (no repeated charts).
Ladder entries with safety orders and deterministic sizing. Designed to avoid accidental oversizing and to keep a strategy within predefined limits during fast swings.
Range harvesting with constraints that prevent “dead grids”. Grid density, limits and cooldowns can be tuned per bot.
Webhook-based signal intake with normalization, signature verification (optional), filters, and risk templates. Designed for private feeds where correctness matters more than “spray and pray”.
A trade ticket that supports partial take profits, trailing behavior, and consistent sizing. Works inside the same risk engine and logging pipeline.
Single view for bots, positions, and orders across exchanges. On mobile: exposure and actions collapse into readable cards.
Use exchange API keys with read + trade only and keep withdrawals disabled at the exchange side. Risk limits are enforced before requests are sent to the exchange.
| Area | Default | Why it matters |
|---|---|---|
| API permissions | Read + Trade only | Removes the highest-risk capability: withdrawals |
| Risk caps | Enabled | Prevents strategy scaling into uncontrolled exposure |
| Audit logs | Enabled | Makes execution reviewable and debuggable |
| Self-hosting | Supported | Keeps keys and runtime under your control |
No performance promises. These blocks explain runtime behavior: execution stability, risk enforcement, and signal intake quality.
How the order pipeline behaves across a period: timeouts, retries, confirmations, and routing outcomes.
Caps and cooldowns keep behavior bounded when volatility spikes.
Accepted vs filtered signals, controlled by rules (filters, caps, cooldowns).
OpenClaw Finance operates as a dedicated execution layer for systematic trading. Instead of juggling multiple exchange interfaces or reacting manually to market moves, you define strategy parameters once and let the runtime handle validation, sizing, routing, and order lifecycle management. The objective is simple — reduce operational friction while keeping decision-making intentional and controlled.
From the moment a signal is received or a strategy condition is met, the system evaluates risk thresholds, checks exposure, and confirms that the action aligns with your configured limits. If a rule is violated, the trade is automatically adjusted or blocked. This approach helps prevent common execution mistakes such as oversizing positions, stacking correlated risk, or entering trades outside of plan.
Every event is logged with detailed context — including inputs, checks performed, exchange responses, and final outcomes — giving you a clear operational timeline. Over time, this visibility makes it easier to audit performance, refine parameters, and understand how strategies behave across different volatility environments.
Pricing avoids “profit promises” and focuses on access level, deployment model, and support tier.
Explore the UI, docs, and workflow with demo setups. Best for understanding architecture and risk templates.
Full runtime and dashboard: DCA/grid/signal execution/smart orders, portfolio caps, audit logs, and exportable history.
For desks and teams: custom integrations, deployment patterns, onboarding, and operational support workflows.
Clear answers about infrastructure, risk, and day-to-day operation.
Submit contact details and a short note about your workflow (DCA/grid/signal execution/smart orders). This helps route you to the right setup and documentation.