9798294670139 (10 results)
More imagesPublished by Independently Published, 2025
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Published by Independently Published, 2025
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Published by Independently Published, 2025
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Published by Independently Published, 2025
- Softcover
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. Markov Model: Application of Markov Chain in Stock MarketBy Amit GhoshThis book presents a focused, technically grounded approach to applying Markov Chains in financial market analysis. Written for advanced traders, quantitative analysts, and researchers, it introduces how memoryless stochas…tic models can be used to identify market regimes, forecast price movements, and enhance decision-making in real trading environments.The content includes practical construction of transition matrices using real-time stock data (such as NIFTY 50), classification of states (uptrend, downtrend, consolidation), and implementation through Python. It covers the integration of Markov Chains with tools like Geometric Brownian Motion, Wiener Processes, and random walk simulations, offering a detailed mathematical and programming framework for analyzing volatility and trend probabilities.Topics covered: Building and interpreting transition matrices for stock trend analysisModeling NIFTY 50 behavior with Markov Chains using PythonApplying stochastic methods to regime switching and price forecastingExploring Random Walk Theory and its contrast with price action modelsTechniques for volatility modeling and risk analysis using GBM and EMH assumptionsThis is not an introductory text. It assumes familiarity with basic trading concepts and a working knowledge of Python. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
More imagesPublished by Independently Published, 2025
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Published by Independently Published, 2025
- Softcover
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Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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£ 16.49
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Paperback. Condition: new. Paperback. Markov Model: Application of Markov Chain in Stock MarketBy Amit GhoshThis book presents a focused, technically grounded approach to applying Markov Chains in financial market analysis. Written for advanced traders, quantitative analysts, and researchers, it introduces how memoryless stochas…tic models can be used to identify market regimes, forecast price movements, and enhance decision-making in real trading environments.The content includes practical construction of transition matrices using real-time stock data (such as NIFTY 50), classification of states (uptrend, downtrend, consolidation), and implementation through Python. It covers the integration of Markov Chains with tools like Geometric Brownian Motion, Wiener Processes, and random walk simulations, offering a detailed mathematical and programming framework for analyzing volatility and trend probabilities.Topics covered: Building and interpreting transition matrices for stock trend analysisModeling NIFTY 50 behavior with Markov Chains using PythonApplying stochastic methods to regime switching and price forecastingExploring Random Walk Theory and its contrast with price action modelsTechniques for volatility modeling and risk analysis using GBM and EMH assumptionsThis is not an introductory text. It assumes familiarity with basic trading concepts and a working knowledge of Python. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
