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Home»Analysis»Discover the power of tracking crypto whales for smarter trading: Margex Research
Analysis

Discover the power of tracking crypto whales for smarter trading: Margex Research

2024-06-30No Comments7 Mins Read
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Experienced retail traders and long-term investors in the cryptocurrency market understand the driving force behind a speculative market algorithm that is powered by people and not capital. Decisions and investment plans to purchase large amounts of cryptocurrency assets are made by individuals with top information and a better idea of ​​the price performance of such assets.

These factors influence how much novice traders trade, coupled with the uncertainty of price fluctuations, which can significantly affect human psychology and make it extremely difficult to execute profitable trades.

Many users have turned to robots or AI-driven technology to conduct transactions. Still, the best winners in the financial market are trades driven by sentiment, and whales are piling up, both in the short and long term.

For the reasons mentioned above, retail traders and novice traders are looking for better trading opportunities or strategies to optimize their trading experience and increase the profitability of their investments.

In this article, we will discuss how to discover what crypto whales are buying and how to leverage Maegex copy trading to stay profitable while doing little in the cryptocurrency market.

Crypto whales – who are they?

Crypto whales are individuals or institutions that accumulate many cryptocurrency tokens with good tokenomics and have the prospect of generating good profit returns within months or years.

Whales originally came from the traditional financial (TradFi) market, referring to investors and institutions that influenced the market price and executed huge trades. The same goes for the cryptocurrency market, as crypto whales accumulate large amounts of cryptocurrency tokens, which affects sentiment regarding those assets.

While there is no criteria for the number of cryptocurrency assets that must be collected to earn the term crypto whale, these individuals or institutions have a large amount of these assets that will drive the price of these cryptocurrency assets up or down to move.

The digital age has made it essential to monitor crypto whales’ portfolios as this will significantly improve the trader’s profitability. However, tracking these portfolio assets requires time and knowledge of how to use high-tech applications and the constant search for new and improved technologies to remain profitable.

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Tool used to track the movement of crypto whales

Crypto whales have the power to manipulate and create a sentimental shift in cryptocurrency assets, leading to a domino effect, either up or down depending on the sentiment surrounding the buy orders or sell orders of a particular crypto asset.

Whales have the power to create supply or demand sentiment through their trading activities, leading to huge potential returns for traders. Retailers are exploring tools to track this buying or selling activity so they can make informed decisions.

AI tools such as Nansen, Eherscan, Dune analytics dashboard and others are used to monitor crypto whale activities and trading patterns. However, for better results, this software may require a subscription.

The Nansen AI tool above shows various data about a cryptocurrency token and the amount purchased by different crypto whales within a specific period. This will help users and retailers decide to promote their profitability by following these so-called smart money traders or investors.

Another example of a tracking tool for large wallet token holders is the user Etherscan, which displays all transaction activity on the Ethereum network. This allows users to track various transactions made by crypto whales and the specific token transactions they have been involved in.

Tools such as Solscan And Snow trail track tokens on the Solana and Avalanche networks. These tools help users or traders stay ahead of the market trend curve and earn profitable profits.

To effectively use these crypto whale tracking tools, you will need to acquire cryptocurrency skills, understand how these tools work, and combine these tools with other software to properly track these crypto whales or become a paid subscription for other AI tools.

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All these reasons make the Margex automated copy trading instrument more effective. It takes the burden off many users and traders as it allows them to build a more profitable trading path while giving them enough time to focus on building a sustainable strategy and diversifying their portfolio.

Margex automated copy trading tool for all beginners and professional users

Automation continues to evolve in the financial market as many users and traders do not have the luxury of sitting in front of the charts all day waiting for the settings to play out, entering into a trade and suffering losses due to manipulation, or failing to enter the correct trending cryptocurrency assets.

Copy trading helps take away the stress of tracking crypto whale wallets, with many more such guarantees for many users who have explored using copy trading tools. Copy trading, as the name implies, is the use of an automated strategy tool to replicate or mirror the trades of other experienced traders.

To ease the burden and help users scale better throughout their trading journey, Margex Exchange, a copy trading platform, has designed its platform to provide the best trading experience to all users, enabling seamless copy trading on its user interfaces.

With a robust, extremely convenient and easy-to-use platform, users can access experienced top traders to copy and analyze these traders’ past trading data such as cumulative equity in position, return on equity (ROE), strategies, most traded assets, and Like this.

These features allow users to make the best trading decisions, choose an experienced trader to copy and start their copy trading experience. To further enhance the trading experience for the global community, Margex has also added a zero-fee converter and several modes of deposit and withdrawal.

Margex zero cost converter helps users exchange various crypto assets with ease, improving their experience on the platform. Due to their low transaction fees and fast speed, users can also use various withdrawal and deposit methods such as USDT, USDC and Kaspa.

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Margex also currently offers its large users the opportunity to earn a share of up to $5 million Hamster Kombat (HMSTR) Airdrop Tokens from June 24, 12:00 UTC, to July 14, 12:00 UTC, 2024.

Eligibility for a stake in Hamster Kombat (HMSTR) airdrop tokens is as follows;

  • $100,000 – $10 in Hamster Kombat (HMSTR) tokens
  • $250,000 – $20 worth of Hamster Kombat (HMSTR) tokens
  • $500,000 – $30 in Hamster Kombat (HMSTR) tokens
  • $1 Million – $50 in Hamster Kombat (HMSTR) into tokens
  • $5M – $250 in Hamster Kombat (HMSTR) tokens
  • $10M – $500 in Hamster Kombat (HMSTR) tokens
  • $25 Million – $1,500 in Hamster Kombat (HMSTR) Tokens
  • $50 Million – $3,000 in Hamster Kombat (HMSTR) Tokens
  • $100 Million – $5,000 in Hamster Kombat (HMSTR) Tokens

You can kick-start your copy trading journey with just $10 on the Margex platform using these simple steps below;

1. Select A merchant

Log in to the Margex copy trading platform to access the copy trading dashboard. This allows you to select a trader and strategies to copy. All the data to help you make an informed decision about a trader is on the dashboard.

2. Click Follow

On the copy trading dashboard, users can click follow to automate their copy trading experience. Create their strategies before deciding what amount to deposit. Users are allowed to follow multiple experienced traders to enable portfolio diversification.

3. Allocate an amount for trading

Deposit an amount that you want to use for your copy trading strategy.

4. Attach the copy handle

Confirm the above steps to open the path to profitability in your copy trading journey.

Disclosure: This was a sponsored post from Margex.

Mentioned in this article
Posted in: Sponsored, Trading

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