DWLF Market Analysis for Openclaw

An all-in-one market analysis tool providing real-time technical indicators, automated strategy building, and backtesting for crypto and equities.

andywilliams
v1.0.0
Jan 31, 2026
6
4.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install dwlf

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install dwlf using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is DWLF Market Analysis?

The DWLF skill empowers users to interact directly with the dwlf.co.uk platform, a robust market analysis suite designed for modern traders. By integrating this skill into your Openclaw Skills workflow, you gain access to high-fidelity market data, sophisticated technical indicators like RSI and EMA, and advanced Smart Money Concepts (SMC) including order blocks and fair value gaps. Whether you are monitoring Bitcoin price action or analyzing NASDAQ equities, this skill bridges the gap between raw data and actionable trading intelligence.

Beyond simple data retrieval, the DWLF skill allows for the creation and management of visual trading strategies and custom events. Users can define complex logic for breakouts or reversals and have the AI agent monitor these conditions across multiple symbols. This makes Openclaw Skills an essential companion for anyone looking to automate their market research, manage portfolios, or utilize the DWLF Academy for deeper educational insights into technical analysis.

DWLF Market Analysis Use Cases

  • Real-time price tracking and OHLCV candle retrieval for crypto (e.g., BTC-USD), stocks (e.g., NVDA), and forex.
  • Identifying automated support and resistance levels along with trendlines for any tracked symbol.
  • Creating and backtesting visual trading strategies to validate performance before execution.
  • Setting up custom event triggers for specific market conditions like breakouts or RSI divergences.
  • Managing personal trading portfolios and journaling trades for performance analytics.

How DWLF Market Analysis Works

  1. Authenticate with the DWLF API using a secure API key provided in the configuration.
  2. Query market data or specific technical indicators for a chosen symbol and interval.
  3. Create or update visual strategies and custom events via the strategy builder endpoints.
  4. Activate the created strategies for specific symbols to ensure the system begins monitoring and generating signals.
  5. Poll or retrieve backtest results and active trade signals to inform trading decisions.

DWLF Market Analysis Setup

To start using the DWLF skill within your Openclaw Skills environment, ensure you have your API key from dwlf.co.uk. You will also need curl and jq installed on your system.

Configure your environment variables or the TOOLS.md file with your key:

# Example of setting the Authorization header
Authorization: ApiKey dwlf_sk_your_secret_key_here

You can use the provided helper script for quick interactions:

./scripts/dwlf-api.sh GET /market-data/BTC-USD

DWLF Market Analysis Data Schema & Taxonomy

The DWLF skill organizes information into several distinct data models to facilitate complex analysis within Openclaw Skills:

Data Type Description Key Fields
Market Data Price and volume candles symbol, interval, OHLCV
Indicators Technical analysis values RSI, EMA, MACD, SMC
Strategies Logic for trade signals strategyId, nodes, edges
Backtests Performance metrics winRate, totalReturn, sharpeRatio
Portfolios Asset holdings and trades portfolioId, balance, trades

DWLF Market Analysis Advanced Features

  • Smart Money Concepts (SMC): Automated detection of Order Blocks, FVGs, and BOS/ChoCH patterns.
  • Asynchronous Backtesting: Trigger complex strategy simulations and retrieve detailed performance reports.
  • Visual Signal Builder: Create multi-condition trading logic that can be compiled and activated for real-time monitoring.
  • Academy Integration: Built-in tools to search and retrieve educational content from the DWLF Academy directly within Openclaw Skills.
  • Symbol Activation Management: Granular control over which symbols are monitored by specific custom events or strategies.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*