Applicability of Fibonacci Series on Low Beta Stocks of Nifty-50

This study explores the relationship between stock volatility, measured by beta & price movement patterns using the Fibonacci series in the context of low beta stocks. Low beta stocks, typically more stable than high beta ones, were analyzed using Fibonacci retracement & extension levels to identify key support & resistance points. Historical price data from Nifty 50 low beta were examined under various market conditions including bullish, bearish & stable. The findings from our research indicate that the low beta stocks adhere to Fibonacci levels, hence it offers reliable long-term guidance. The study highlights that while Fibonacci retracement levels are useful, their effectiveness depends on stock volatility & market conditions, which helps investors in optimizing their trading strategies.

Authors

Publication Details

Journal
INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS
Published
2024-11-18
DOI
https://doi.org/10.47191/ijmra/v7-i11-16
Primary Topic
Advanced Mathematical Theories and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Applicability of Fibonacci Series on Low Beta Stocks of Nifty-50

Rushabh Shah, Vatsal Desai, Virti Shah, Veerendra Anchan
INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS
Advanced Mathematical Theories and Applications
article

Applicability of Fibonacci Series on Low Beta Stocks of Nifty-50

Rushabh Shah, Vatsal Desai, Virti Shah, Veerendra Anchan
article en

Abstract

This study explores the relationship between stock volatility, measured by beta & price movement patterns using the Fibonacci series in the context of low beta stocks. Low beta stocks, typically more stable than high beta ones, were analyzed using Fibonacci retracement & extension levels to identify key support & resistance points. Historical price data from Nifty 50 low beta were examined under various market conditions including bullish, bearish & stable. The findings from our research indicate that the low beta stocks adhere to Fibonacci levels, hence it offers reliable long-term guidance. The study highlights that while Fibonacci retracement levels are useful, their effectiveness depends on stock volatility & market conditions, which helps investors in optimizing their trading strategies.

INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSISVol. 07(11)
Openalex Percentile: Top 81%
Advanced Mathematical Theories and Applications
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