Fetch financial market data for multiple symbols and timeframes at runtime.
npx skills add https://github.com/kayzaa/k.i.t.-bot --skill dynamic-requests
Please help me install this Agent Skill. Skill: dynamic-requests Source: https://github.com/kayzaa/k.i.t.-bot/tree/main/skills/dynamic-requests Command: npx skills add https://github.com/kayzaa/k.i.t.-bot --skill dynamic-requests
This Skill addresses the challenge of fetching financial market data for multiple symbols and timeframes in real-time, adapting to changing market conditions.
Add a new dynamic request for BTC and ETH on the 1-hour timeframe with a lookback of 100 bars.
High-intent search queries and answers about installing and using this skill.
You can fetch market data dynamically by defining conditional requests that switch trading symbols at runtime based on predefined market conditions. This approach adapts to changing data needs without requiring static symbol declarations.
Yes, you can automatically adjust the timeframe based on market volatility. For example, you can configure the system to request 1-minute data when the Average True Range exceeds a threshold, otherwise defaulting to a 5-minute timeframe.
Conditional data fetching optimizes API calls by only requesting market data when necessary conditions are met. This is enhanced by smart caching and invalidation strategies that minimize redundant requests during runtime.
Yes, the dynamic fetching mechanism is inspired by Pine Script v6. It supports similar runtime capabilities for requesting financial market data across multiple symbols and timeframes dynamically.
The best way is to set up a conditional request that monitors the correlation between assets like BTC and ETH. If the correlation exceeds a defined threshold like 0.9, the system dynamically switches to fetching the secondary asset for confirmation.
You can add a dynamic request by specifying the target trading symbols, the desired timeframe such as 1-hour, and the lookback length in bars. This configuration is processed at runtime to fetch the required market data.
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