Money Times Talk (MTTs) – 24/11/25

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Although Money Times recommendation have outperformed other media, stock brokers and research houses, the brief recommendations under Money Times Talk (MTT) cannot display ‘BUY’, ‘SELL’ or ‘HOLD’ recommendations. Readers should, therefore, exercise their own judgement and evaluate the future prospects of the stock given its past performance, industry prospects in the backdrop of a growing economy and in consultation with their investment adviser

  • As per astrology view, some important turning dates are 25th & 28th November & 1, 3 & 5th December2025.
  • Alert – Fed Risk Warning: U.S. Fed Governor Lisa Cook cautioned that stretched valuations across equities, corporate bonds, housing, and leveraged loans increase the risk of sudden market declines. She flagged liquidity risks from hedge funds’ growing presence in Treasury markets and noted that AI could both support and destabilize financial market.
  • Investor Discipline: Avoid ignoring your portfolio during market corrections. This reflects weak conviction. Review holdings regularly, keep fundamentally strong stocks, exit weak ones, and choose new positions based on financial strength, management quality, and long-term visibility.
  • Despite a sharp rally in Nifty, Sensex and Bank Nifty, most stocks in the broader market remain flat or deeply negative, indicating clear headline-level management by big players and funds. Investors are frustrated as indices hit all-time highs while 375 of NSE 500 stocks are down 10–70%. Examples include Tejas Network (-64%), Praj (-62%), Manyavar (-60%), Ola (-60%), Taril (-58%), Neggen (-49%), Jupiter Wagon (-49%), IGL (-49%), RK Forge (-47%), Sonata Software (-47%), KEC (-46%), Cyient (-47%), Zentech (-47%) and PGEL (-45%). Nearly 90% of stocks are down 10–80% from their highs, reflecting a very dirty game by big players & funds despite record-high headline indices.
  • To integrate AI into your retail trading strategy in India: (a) Data collection Gather historical and real-time market data including prices, volumes, charts and news. (b) Choose AI tools Use platforms like TensorFlow, PyTorch or scikit-learn to build models. (c) Develop models Apply ML techniques like decision trees, neural networks or SVMs to identify trends and predict movements. (d) Sentiment analysis Use NLP to gauge sentiment from news, social platforms and market commentary. (e) Backtesting Test strategies on historical data to verify reliability and reduce risk. (d) Automate trading Connect AI models with brokers like Zerodha or Upstox for auto-execution. (i) Monitor & optimize Track results regularly and refine models to improve accuracy and returns.

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