Trading Methodology
Learn about the trading methodologies used in SignalP signals and how to apply them.
SignalP signals are based on proven trading methodologies that have been refined for professional futures trading. Understanding these methodologies will help you make better trading decisions.
Market Profile Trading
Market Profile is a methodology that organizes price and time data to reveal market structure and value areas.
Key Concepts:
- Value Area - The price range where 70% of trading volume occurred
- Point of Control (POC) - The price with the highest volume
- Auction Process - How markets discover fair value through buying and selling
- Time Price Opportunities (TPOs) - Time-based analysis of price action
Signal Applications:
- Identify high-probability entry points based on the "driving input" of the auction structure
- Use POC as support/resistance levels
- Trade breakouts from established value areas
Volume Profile Trading
Volume Profile analyzes the volume traded at each price level to identify key support and resistance areas.
Key Concepts:
- Volume at Price (VAP) - Volume traded at specific price levels
- High Volume Nodes (HVN) - Price levels with significant volume
- Low Volume Nodes (LVN) - Price levels with minimal volume
- Volume Weighted Average Price (VWAP) - Average price weighted by volume
Signal Applications:
- Use HVN as support/resistance levels
- Trade through LVN areas (low resistance)
- Monitor VWAP for trend direction
4Questions Methodology
The 4 Questions Methodology is a process for assessing playbook opportunity. It's a process aimed and helping the trader approach opportunity with a "risk forward" mindset.
Components:
- Opportunity - What is the opportunity or more specifically the expected price target?
- Risk - What am I willing to risk for this opportunity?
- Right - Once I enter the trade, what would tell me I was right?
- Wrong - Once I enter the trade, what would tell me I was wrong?
Signal Applications:
- Comprehensive analysis before entering trades
- Consider all four factors for high-probability setups
- Adapt strategy based on current market context