What is Data Trading?
Data trading means using market data (price, volume, OI, sentiment) to make trading decisions instead of guessing. Big players (institutions) rely heavily on data.
Key Data Sources:
Price Action (Candles, trends)
Volume Data (Buying/Selling pressure)
Open Interest (OI) (Positions in derivatives)
PCR (Put Call Ratio) (Market sentiment)
Order Flow / Liquidity Zones
👉 In simple words: “Data tells you what smart money is doing.”
2. Importance of Data Trading
Removes emotions from trading
Helps track institutional activity
Improves accuracy in entries/exits
Works in all markets (Equity, Futures, Options)
Retail traders lose because they follow news, while institutions follow data.
Data trading means using market data (price, volume, OI, sentiment) to make trading decisions instead of guessing. Big players (institutions) rely heavily on data.
Key Data Sources:
Price Action (Candles, trends)
Volume Data (Buying/Selling pressure)
Open Interest (OI) (Positions in derivatives)
PCR (Put Call Ratio) (Market sentiment)
Order Flow / Liquidity Zones
👉 In simple words: “Data tells you what smart money is doing.”
2. Importance of Data Trading
Removes emotions from trading
Helps track institutional activity
Improves accuracy in entries/exits
Works in all markets (Equity, Futures, Options)
Retail traders lose because they follow news, while institutions follow data.
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Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Related publications
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.