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

Scene of the Crime (SOC) in Trading – Why Markets Often Return

1 min read

In market behavior analysis, certain price zones carry a unique psychological and structural significance. One such concept is the Scene of the Crime (SOC) — a level or zone from which a sharp, news-driven, impulsive move begins.

When unexpected events hit the market — earnings surprises, policy changes, or geopolitical shocks — prices often break away aggressively from a specific level. This sudden departure leaves behind a stretch of price territory that remains un-auctioned.


Understanding the SOC Zone

  • SOC: The exact price or small range where the impulsive move originated.
  • Un-auctioned area: The gap or fast-move zone between the SOC and where price retraces, where little to no balanced trading occurred.
  • Key characteristic: Market spends very little time here; orders are absorbed instantly, pushing prices away.

In auction market theory terms, this is a zone where supply and demand never fully interacted — the imbalance pushed prices out before traders could react.


Why the Market Revisits SOC

Just as a criminal may return to the scene of the crime, the market often gravitates back to this level.
Reasons include:

  1. Filling missing auction – Liquidity wasn’t fully tested.
  2. Position reassessment – Traders who missed the move may re-enter here.
  3. Liquidity grabs – Market makers target these zones to trigger resting orders.

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SOC in the Indian Stock Market – Historical Examples

1. Demonetization Shock – November 8, 2016

When the Indian government announced demonetization of ₹500 and ₹1,000 notes after market hours, Nifty Futures opened with a massive gap down the next day, falling sharply from around 8,500 to near 8,100 in a single session.


The 8,100–8,400 zone became the SOC — few days later, prices revisited and auctioned this area before continuing higher.

2. Policy Surprise – Corporate Tax Cut, September 20, 2019

The Finance Minister announced a surprise corporate tax rate cut from 30% to 22%. Nifty jumped over 5% in a single day, blasting past the 10,800–11,200 zone with hardly any trading in between. That range later served as an SOC retest area in early 2020.

3. Stock-Specific – Infosys Earnings Miss, October 2019

Infosys opened sharply lower after whistleblower complaints about corporate governance. Price plunged from around 760 to near 640 with a quick gap-down. The 760–640 band became an SOC zone — retested months later as sentiment stabilized.


SOC as a Trading Opportunity

A retest of the SOC zone is often watched closely by traders:

  • Continuation setups: If the fundamental driver still holds, SOC retests can launch another leg in the same direction.
  • Reversal setups: If sentiment has flipped, SOC can act as a support/resistance flip.

Key Takeaways

  • SOC zones are born from news-driven imbalance.
  • These zones are often magnets for price revisits.
  • Context matters: understand the event, trend, and volume profile before trading them.
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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