Analyze OHLCV data to detect BOS, ChoCH, FVG, and Order Block signals.
npx skills add https://github.com/hxhyyy/Vibe-Trading --skill smc-hxhyyy
Please help me install this Agent Skill. Skill: smc Source: https://github.com/hxhyyy/Vibe-Trading/tree/main/agent/src/skills/smc Command: npx skills add https://github.com/hxhyyy/Vibe-Trading --skill smc-hxhyyy
This Skill addresses the difficulty of identifying institutional market behavior, such as liquidity zones and trend reversals, by automating the detection of complex price action patterns.
Use the smc skill to analyze the latest daily price data for BTC-USDT and identify current market structure signals.
High-intent search queries and answers about installing and using this skill.
To detect smart money concepts like BOS and ChoCH, you can automate market structure analysis using OHLCV data streams to identify institutional trading patterns and trend reversals. This Skill filters price action signals based on structural shifts.
Finding Fair Value Gaps and Order Blocks in OHLCV price data requires liquidity and imbalance detection logic. This Skill pinpoints these zones to filter high-probability trade setups by requiring both structural confirmation and FVG alignment.
Yes, you can use Python to scan multiple assets for institutional trading signals by integrating pandas and numpy with market data. This enables filtering out market noise to identify institutional-grade entry signals across various financial assets.
Yes, you need the smartmoneyconcepts library to identify market structure shifts. The Skill requires integration with this specific dependency alongside OHLCV data streams to execute its institutional signal generation logic accurately.
The best way to filter price action signals using institutional liquidity zones is to require structural confirmation from BOS or ChoCH alongside Fair Value Gap alignment. This approach removes noise by focusing on institutional liquidity and structural shifts.
0xZKnwGenerate trading signals from historical month-of-year and day-of-week effects.
ebrahim-saniDetect BOS, ChoCH, FVG, and order block signals from OHLCV pandas DataFrames.
severin-yeGenerate structured technical analysis for US stocks with standardized signals.
kayzaaDetect Market Structure Shifts in financial markets using price action and swing point analysis.
