← Latest papers
📈 economics

The Investor Financial Profile between Professionalism and Amateurism and Its Effect on Bitcoin Market Price, Volume, Trade Dynamics, and Market Quality

This study employs a novel methodology combining survey-based behavioral indicators with high-frequency on-chain and market data to demonstrate that the composition of Bitcoin investors significantly shapes market outcomes, where amateur participation drives short-term volatility and inefficiency while professional flows enhance liquidity and resilience across medium-to-long-term horizons.

Original authors: Anas Elmelki

Published 2026-06-26
📖 5 min read🧠 Deep dive

Original authors: Anas Elmelki

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

The Big Picture: A Digital Stock Market with Two Types of Players

Imagine the Bitcoin market as a massive, 24/7 digital stock exchange. In this market, there are two very different types of people buying and selling:

  1. The Amateurs (Retail Investors): Think of these as the "crowd." They are often regular people trading with their own savings. They tend to get excited by news, social media hype, and the fear of missing out (FOMO). They trade frequently but with smaller amounts of money.
  2. The Professionals (Institutional Investors): Think of these as the "experts." They are big banks, hedge funds, and algorithmic trading bots. They have deep pockets, complex risk management tools, and they trade huge sums of money to manage portfolios, not just to chase a quick thrill.

The Question: The author, Dr. Anas Elmelki, wanted to know: Does it matter who is doing the trading? Does the mix of "crowd" vs. "experts" change how the price moves, how volatile it gets, and how stable the market is?

The Method: Listening to the Market's Rhythm

To answer this, the researcher didn't just look at the price. He used a special mathematical tool called Wavelet Coherence Analysis.

  • The Analogy: Imagine listening to a song. A standard chart shows you the total volume of the song. But Wavelet Analysis is like a high-tech ear that can tell you when the drums are beating fast (short-term chaos) and when the bass line is steady (long-term stability). It lets the researcher see how the "Amateur" noise and the "Professional" rhythm sync up with the price at different speeds—some things happen in a few days, others over months.

He also used the Theory of Planned Behavior (a psychology concept) to understand why people trade.

  • Amateurs trade because of Social Norms (everyone else is doing it) and Perceived Control (feeling like they can time the market, even if they can't).
  • Professionals trade based on Attitudes (calculated risk/reward) and Control (having the tools to execute complex strategies).

The Data: A Decade of Trading

The study looked at 2.5 million Bitcoin transactions from 2017 to 2026. They used data from Binance (a major exchange) to separate the traders into two groups:

  • Trade Count: Counting how many transactions happened. This represents the Amateurs (many small clicks).
  • Notional Volume: Counting the total value of money moved. This represents the Professionals (fewer, but massive moves).

The Findings: Chaos vs. Calm

The study found that the two groups act like different forces of nature on the market:

1. The Amateurs Create Short-Term Storms

  • What happens: When the "crowd" gets active (high trade count), the market gets wild.
  • The Effect: Volatility (price swings) jumps by 18% to 25% in the short term (1 to 8 days).
  • The Metaphor: Amateurs are like a school of fish reacting to a shadow. If the price goes up, they all rush in at once, pushing the price even higher (a bubble). If it drops, they all panic-sell, making the crash worse. They create "momentum bubbles" where prices move too fast, too far, too soon.

2. The Professionals Provide Long-Term Stability

  • What happens: When the "experts" are active (high volume), the market becomes more resilient.
  • The Effect: They improve "market quality." They act as shock absorbers. When the market is stressed, they step in to provide liquidity (making it easier to buy/sell without crashing the price).
  • The Metaphor: Professionals are like the deep roots of a tree. When a storm (market crash) hits, the shallow roots (amateurs) might snap, but the deep roots hold the tree steady. They smooth out the bumps over medium and long periods (weeks to months).

The "State-Dependent" Twist

The study found that the market's behavior changes depending on the situation:

  • During Hype: When there is big news or a "hype" event, the amateurs take over. The market becomes tightly coupled with their emotions, leading to chaotic, fast-moving price changes.
  • During Stress: When the market is under pressure, the professionals' activity becomes the dominant force, helping to stabilize the price over time.

Why This Matters (The Takeaway)

The paper concludes that Bitcoin isn't just one market; it's a battleground between emotional noise and rational structure.

  • For the Market: The "Amateur" energy creates the excitement and the bubbles, but it also creates the danger of sudden, sharp crashes.
  • For the Regulators: You can't treat Bitcoin like a normal stock market. You need to watch for "attention spikes" (when the crowd gets loud) because that's when the market is most fragile.
  • For Investors: Understanding who is driving the market helps explain why prices swing so wildly. If the "crowd" is driving, expect chaos. If the "experts" are driving, expect stability.

In a nutshell: The paper proves that who is trading matters just as much as how much they are trading. The "amateur" crowd fuels the short-term fireworks, while the "professional" institutions provide the long-term foundation that keeps the market from falling apart.

Drowning in papers in your field?

Get daily digests of the most novel papers matching your research keywords — with technical summaries, in your language.

Try Digest →