A Clawdbot skill that gives your agent native access to DWLF — a market analysis platform for crypto and stocks.v1.0.0

A retail trader uses the skill to fetch real-time market data and technical indicators like RSI and EMA for BTC-USD, helping them identify entry and exit points. They create chart annotations to mark support/resistance levels and set up trade plans with position sizing based on their risk tolerance.

A portfolio manager leverages the skill to monitor a diverse portfolio of stocks and crypto assets, using watchlists and trade journaling features. They analyze trade signals and backtest strategies to optimize performance and adjust allocations based on market trends.

A financial educator utilizes the skill to access academy content and create custom events for teaching market concepts like candlestick patterns. They annotate charts with educational notes and use visual signal builders to demonstrate trading strategies to students.

A quantitative analyst employs the skill to develop and backtest automated trading strategies using the visual strategy builder and custom events. They integrate real-time data feeds to generate trade signals and track performance stats for refinement.

A risk analyst uses the skill to calculate precise position sizes for trades based on account size and risk percentages. They create trade plans with stop-loss and take-profit levels, ensuring compliance with risk management protocols across multiple assets.

Offer tiered subscriptions for access to premium features like advanced technical indicators, backtesting tools, and real-time trade signals. Revenue is generated through monthly or annual fees, with higher tiers including personalized support and custom strategy development.

Provide basic market data and annotation tools for free, while charging for advanced features such as bulk annotations, detailed backtesting reports, and academy content. This model attracts a broad user base and converts them to paying customers for enhanced functionality.

License the API to financial institutions, hedge funds, and trading firms for integration into their internal systems. Revenue comes from licensing fees based on usage volume, data access levels, and custom development services for tailored solutions.