Rajandran R Creator of OpenAlgo - OpenSource Algo Trading framework for Indian Traders. Building GenAI Applications. Telecom Engineer turned Full-time Derivative Trader. Mostly Trading Nifty, Banknifty, High Liquid Stock Derivatives. Trading the Markets Since 2006 onwards. Using Market Profile and Orderflow for more than a decade. Designed and published 100+ open source trading systems on various trading tools. Strongly believe that market understanding and robust trading frameworks are the key to the trading success. Building Algo Platforms, Writing about Markets, Trading System Design, Market Sentiment, Trading Softwares & Trading Nuances since 2007 onwards. Author of Marketcalls.in

Understanding Overnight Trading Inventory – Market Profile Tutorial

1 min read

What is Overnight Trading Inventory?

Overnight trading inventory is a critical measure for traders, capturing the net position of trades executed during the Extended Trading Session, which occurs outside the Regular Trading Hours. This measure is particularly important as it is assessed with respect to the closing price of the regular market session, often referred to as the settlement price.

The essence of overnight trading inventory lies in its ability to provide a clear snapshot of trading sentiment and activity that unfolds after the market has officially closed for the day. By evaluating whether trades have been executed above, at, or below the settlement price, traders can categorize the overnight inventory as long, short, or balanced.

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The Significance of Inventory Status

  1. Long Inventory: Suggests that traders were willing to hold positions at a price higher than the settlement price
  2. Short Inventory: Suggest that most of the traders positioning themselves at lower prices compared to the settlement price.
  3. Balanced Inventory: Implies a neutral market sentiment, with no significant bias towards bullish or bearish positions.

Strategic Insights from Overnight Inventory

Understanding the dynamics of overnight trading inventory can equip traders with insights to anticipate market movements:

  • Market Corrections: A significant imbalance in overnight inventory often leads to a market correction at the open. For example, a predominantly long inventory might result in selling pressure as traders look to balance or reduce their positions.
  • Interpreting Market Strength: The market’s response to overnight inventory adjustments can signal its underlying strength or weakness. For instance, a failure to rally following short overnight inventory could indicate a lack of buying interest and, thus, market weakness.

For traders, incorporating the analysis of overnight trading inventory into their pre-market preparation is invaluable. It not only provides a snapshot of pre-market sentiment but also offers a framework to anticipate and strategize for the opening market dynamics. Whether it’s identifying potential market corrections or assessing the market’s strength, the insights gleaned from overnight inventory analysis are indispensable.

In summary, overnight trading inventory is more than just a technical aspect of trading; it’s a lens through which market sentiment and potential movements can be discerned. By understanding and applying insights from overnight inventory, traders can enhance their strategic decisions, navigate the markets more effectively, and potentially improve their trading outcomes.

Rajandran R Creator of OpenAlgo - OpenSource Algo Trading framework for Indian Traders. Building GenAI Applications. Telecom Engineer turned Full-time Derivative Trader. Mostly Trading Nifty, Banknifty, High Liquid Stock Derivatives. Trading the Markets Since 2006 onwards. Using Market Profile and Orderflow for more than a decade. Designed and published 100+ open source trading systems on various trading tools. Strongly believe that market understanding and robust trading frameworks are the key to the trading success. Building Algo Platforms, Writing about Markets, Trading System Design, Market Sentiment, Trading Softwares & Trading Nuances since 2007 onwards. Author of Marketcalls.in

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