In this video, a Data-Driven approach to find swing trades effectively in the stock market is discussed. swing trading involves risk and it's essential for traders to have a well-thought-out strategy, risk management plan, and a good understanding of the market conditions. stock selection in the market is very difficult with changing market conditions nowdays. Solutions to all the problems above lies in Price + Open Interest Analysis Price movements supported by increased Open Interest participation are more likely to endure. Solution --- Price OI Percentile The term price percentile refers to a statistical measure that indicates the relative position of a particular price within a given dataset. It represents the percentage of prices that are equal to or below a specific value. Same holds true for Open Interest Percentile. Price Move along with participation (Open Interest Increment) has More Probability of Sustaining Therefore, certain observations are discussed in this video regarding the dynamics of Price and OI percentile, their thresholds and focal points, which need to be considered, before even considering the importance of a particular directional move, either Bullish or Bearish. The key ingredients for good selection of stocks scenarios involve considering the percentile position of the price and taking into account open interest positioning, as well. A more detailed explanation of this approach is elaborated in the accompanying video. Quantsapp’s tool on Price and OI percentile, enables swing traders to effectively approach the breakout scenarios using a data-driven approach, rather than relying on gut feel or other behavioural biases. Be a data driven trader!