Advanced International Journal for Research
E-ISSN: 3048-7641
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Volume 7 Issue 1
January-February 2026
Indexing Partners
A Study of Long-Term Bullish and Bearish Trends in Bitcoin (BTC): A Multi-Timeframe Historical Analysis
| Author(s) | Mr. Maheshkumar Devendra Mohite |
|---|---|
| Country | India |
| Abstract | This study examines the long-term bullish and bearish trends in Bitcoin (BTC) through a comprehensive historical analysis of its price behaviour across multiple timeframes. Bitcoin, as the first and most dominant decentralised digital asset, has experienced pronounced cycles of expansion and contraction since its inception. The research evaluates Bitcoin’s market behaviour using yearly, monthly, and weekly data over an extended historical period, emphasising sustained structural trends rather than short-term volatility. The primary objective of the study is to classify prolonged market movements into bullish and bearish regimes and to understand how these regimes evolve across different timeframes in response to macroeconomic conditions, technological developments, regulatory environments, and systemic global events. The analysis is based on publicly available historical Bitcoin price data and adopts a descriptive, non-predictive analytical framework. By comparing trend behaviour across multiple time horizons, the study highlights how long-term structural regimes persist despite high interim volatility and how Bitcoin’s market cycles reflect broader shifts in global liquidity, investor sentiment, and risk perception. The findings contribute to the academic literature on cryptocurrency market behaviour by offering a structured historical interpretation of Bitcoin’s long-term trends. This research is purely analytical and educational in nature and does not provide investment advice, forecasts, or recommendations. The author is not a SEBI-registered investment advisor or research analyst. |
| Keywords | Bitcoin (BTC), Cryptocurrency Market, Bullish and Bearish Trends, Long-Term Market Cycles, Digital Asset Markets, Trend Analysis, Multi-Timeframe Analysis, Market Regimes |
| Field | Business Administration |
| Published In | Volume 7, Issue 1, January-February 2026 |
| Published On | 2026-02-06 |
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E-ISSN 3048-7641
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AIJFR DOI prefix is
10.63363/aijfr
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