Generate TPO and Volume Profile market structure analyses for trading sessions.
npx skills add https://github.com/kayzaa/k.i.t.-bot --skill market-profile
Please help me install this Agent Skill. Skill: market-profile Source: https://github.com/kayzaa/k.i.t.-bot/tree/main/skills/market-profile Command: npx skills add https://github.com/kayzaa/k.i.t.-bot --skill market-profile
This Skill helps traders and analysts understand market structure by visualizing and analyzing Time Price Opportunity (TPO) and Volume Profiles, revealing key price levels and trading activity.
profile daily BTC/USDT to quickly see the developing market profile for Bitcoin, identify the POC and Value Area, and make informed decisions about potential entry and exit points.Analyze the daily market profile for the symbol BTC/USDT.
High-intent search queries and answers about installing and using this skill.
To build a volume profile and TPO chart, you must fetch historical trade data for your target symbol. The analysis then processes this data to calculate key levels like the Point of Control, Value Area, and high volume nodes.
Market profile analysis visualizes trading activity over time using Time Price Opportunity and volume data. It identifies support and resistance zones by locating High Volume Nodes and Low Volume Nodes within the market structure.
Yes, you can generate session-based profiles for specific trading hours like Asia, London, and NY. This allows you to analyze how market structure and volume profiles develop during distinct trading sessions.
You calculate VWAP and its standard deviations by processing historical trade data within a specified session. The resulting profile displays the Volume Weighted Average Price alongside standard deviation bands for price action analysis.
Calculating developing TPO profiles requires fetching historical trade data for the target symbol, such as BTC/USDT. This trade data is essential to build accurate daily, weekly, and session-based market profiles.
Yes, volume profile analysis works for both daily and weekly market structures. It processes historical trade data to generate specific profiles that reveal the Value Area and Point of Control across various timeframes.
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