Economic Indicators

BIST 100 Slides Sharply: Banking and Holding Indices Waver as Data Calendar Drives Markets

724FinanceFatih Kılıç
BIST 100 Slides Sharply: Banking and Holding Indices Waver as Data Calendar Drives Markets

The BIST 100 index fell 133.80 points from the previous close, closing the day on a negative note, while total trading volume reached 176.9 billion TRY.

Istanbul Stock Exchange’s Sharp Decline

  • BIST 100: -133.80 points
  • Trading Volume: 176.9 billion TRY
  • Banking Index: +0.03% gain
  • Holding Index: -0.58% loss
  • Sectoral Movers and Leaders

  • Top performer: Information Technology (+2.40%)
  • Biggest laggard: Financial Leasing & Factoring (-2.27%)
  • Other notable shifts:
  • - Energy: slight decline - Banking: modest rise

    Global Drivers Impacting the Market

  • US‑Iran tensions raise risk premiums on energy corridors.
  • Questions around AI sustainability and the re‑emergence of tariff debates are influencing price expectations.
  • These geopolitical and technological uncertainties are dampening local investors’ risk appetite.
  • Upcoming Data Calendar and Technical Levels

  • Domestic: Unemployment rate and trade balance figures due next week.
  • International: Federal Reserve rate decision, PCE Price Index, growth data, and BoE rate decision are the key macro releases.
  • Technical Support/Resistance:
  • - Support: 13,80013,700 - Resistance: 14,10014,200
    Fatih Kılıç: The BIST 100’s break at these levels reflects a blend of global geopolitical risks and the macro data slated for release next week. In particular, the direction of the Fed’s rate decision could amplify volatility for assets denominated in Turkish Lira. Technically, a breach below 13,700 would signal a deeper correction, whereas a clean break above 14,100 could spark a new bullish wave. Investors should closely monitor sector rotations and liquidity flows.
    Fatih Kılıç

    Financial Analyst: Fatih Kılıç

    Ekonomik Göstergeler (Economic Indicators) Baş Veri Bilimcisi. Tarım Dışı İstihdam (NFP), Çekirdek TÜFE ve ISM İmalat verilerini tarihsel regresyon modelleriyle kıyaslayıp sürpriz endekslerini hesaplayan uzman.

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