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

Market-Generated Information vs News-Based Trading

2 min read

Indian traders consume more news than almost any other market participant in the world. TV anchors shout, Telegram channels explode, and Twitter turns every candle into a breaking story.

Yet, price often does the opposite of what the news suggests.

Why?

Because markets do not move on news.
They move on auction behavior.

This is where the distinction between Market-Generated Information (MGI) and News-Based Trading becomes critical.


What Is Market-Generated Information?

Market-Generated Information is information created by the market itself through the interaction of buyers and sellers.

It is not opinion.
It is not prediction.
It is not interpretation.

It comes directly from:

  • Price acceptance or rejection
  • Time spent at price
  • Volume participation
  • Distribution structure
  • Value migration
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In simple terms:

MGI tells you what the market is doing, not what it should do.

Market Profile is one of the most effective tools to organize this information.


What Is News-Based Trading?

News-based trading relies on external narratives, such as:

  • RBI policy announcements
  • Inflation, GDP, CPI data
  • Budget day expectations
  • Global cues (US markets, crude, dollar)
  • Corporate earnings headlines
  • Media interpretations

The problem is not the news itself.
The problem is how traders use it.

Most retail traders:

  • React emotionally
  • Assume direction
  • Ignore context
  • Enter late
  • Exit early or panic

News becomes a bias generator, not a decision aid.


The Indian Market Reality

Indian markets are uniquely prone to news distortion because:

  1. High Retail Participation
    Retail traders dominate intraday volume in indices and stocks.
  2. Media Sensationalism
    Every 5-minute candle needs a reason on TV.
  3. Event Density
    RBI policy, budget, global markets, FII data — something is always “important.”
  4. Algorithmic Absorption
    Institutions and algos react before the headline reaches retail traders.

By the time news is visible to the public, the auction has already processed it.


Why Markets Often Ignore “Good” and “Bad” News

Let’s take a common Indian example.

Scenario

NIFTY opens flat.
At 10:00 AM, positive global cues + strong earnings headlines hit the screen.

Retail expectation:

“Market should rally.”

What actually happens:

  • Price moves up briefly
  • Fails near prior value high/ yesterday’s high
  • Rotates back into value
  • Traps breakout buyers

Why?

Because:

  • Longer-timeframe participants were not active
  • Inventory was already long
  • The auction found no new buyer urgency

MGI exposed reality.
News created hope.


How Market-Generated Information Works During News Events

MGI does not ignore news.
It measures the market’s response to news.

Key questions MGI answers:

  • Is the market accepting higher prices after news?
  • Is value migrating or stalling?
  • Are responsive traders active or initiative traders?
  • Is volume expanding or thinning?
  • Are we seeing excess or poor structure?

In Indian markets, this distinction is everything.


Indian Examples Where MGI Beats News

RBI Policy Day

  • News: “Rates unchanged – positive for markets”
  • MGI observation:
    • No value migration
    • Poor high formation
    • Weak acceptance above IB

Result:

  • Initial spike fails
  • Market rotates lower
  • Retail traders get trapped

Budget Day

  • News: “Pro-growth budget”
  • MGI observation:
    • Wide range but no excess
    • Two-sided trade
    • Value remains overlapping

Result:

  • Volatility without direction
  • Choppy day destroys option buyers
  • Market waits for real participation

Global Market Cues

  • US markets strong overnight
  • GIFT NIFTY up

MGI check at open:

  • Overnight inventory extremely long
  • Open inside prior value
  • No follow-through buying

Result:

  • Gap fills
  • Longs liquidate
  • News traders confused

Why Professional Traders Trust MGI Over News

Professional traders ask:

“Who is acting, and who is reacting?”

MGI reveals:

  • Which timeframe is in control
  • Whether participation is new or old
  • Whether moves are emotional or structural

News does not answer these questions.
MGI does.


Market Profile as an MGI Framework

Market Profile organizes MGI through:

  • Distribution shape
  • Value area behavior
  • Point of Control migration
  • Excess and poor structure
  • Single prints and initiative activity

In Indian markets, this helps traders:

  • Avoid false breakouts
  • Stay out during noisy sessions
  • Identify meaningful moves
  • Trade less, but better

Common Mistakes Indian Traders Make with News

  1. Trading direction instead of reaction
  2. Ignoring higher-timeframe context
  3. Entering after emotional expansion
  4. Believing explanations over evidence
  5. Confusing volatility with opportunity

MGI corrects all five.


How to Combine News with Market-Generated Information

The correct approach is not either/or.

Use news as:

  • A potential catalyst

Use MGI as:

  • The decision filter

Ask:

  • Is the market accepting price after news?
  • Is value shifting or stalling?
  • Are initiative traders present?

If MGI confirms → trade
If MGI contradicts → stand aside

Standing aside is a position.


Final Thought

Indian markets are not driven by headlines.
They are driven by auction dynamics.

News explains.
MGI reveals.

Traders who learn to read Market-Generated Information stop asking:

“Why did the market move?”

And start asking:

“What is the market attempting to do?”

That question changes everything.

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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