/Crypto-Whale-Hunter

Whales accumulate assets discreetly to avoid detection and later trigger price surges. Our innovative software enables users to detect these subtle accumulation tactics by analyzing trading volumes down to the second.

Primary LanguagePython

Crypto Whale Hunter

Analysis of Latest Orders on Binance

Analysis of Recent Executed Orders on Binance

In the realm of cryptocurrency markets, a phenomenon known as 'whales' emerges as significant players. These whales, large holders of cryptocurrencies, possess the capability to influence market dynamics. Their modus operandi involves strategically accumulating assets prior to initiating a rapid price surge, a maneuver often referred to as 'pumping'. This accumulation phase is intentionally obscured from the general market participants to safeguard their strategy.

To obscure their accumulation efforts, whales employ a subtle strategy of augmenting trading volumes, thereby deflecting attention from their activities. They endeavor to elude detection by exploiting the temporal intervals inherent in the data visualizations that traders rely upon for insights. Even within the context of the most granular temporal scale, such as the one-minute interval, whales orchestrate their maneuvers with meticulous care.

In a one-minute timeframe, for instance, whales allocate their resources to procure a volume of assets proportional to the margin between the observed average trading volume and the volume that is conspicuously absent. This calibrated action enables them to conduct transactions without arousing suspicion. The fundamental aim is to mask their intentions from prying eyes, avoiding undue market anticipation.

The innovative software application under consideration offers an effective solution to this enigma. It empowers users to scrutinize and comprehend the nuanced patterns of trading activity that transpire within mere seconds. By meticulously analyzing transactional volumes that exceed the norm across the entirety of the market, the software augments traders' capability to detect anomalous trading actions that might be indicative of these surreptitious accumulation tactics.

Pull Requests will be considered

To participate in the discussion:

Gitter

Features

  • Retrieves the last 500 executed orders for specified coins on the Binance exchange.
  • Indicates whether there has been a volume increase during the period when these 500 orders were executed, relative to the 24-hour trading volume.
  • Displays the execution time of the last 500 orders in a separate column.

Requirements

The necessary libraries are in the requirements.txt file.

Installation

  • Copy your ApiKey and SecretKey from Binance Exchange into the 'keys.py' file.
  • Install necessary libraries.
  • Use the Powershell terminal for optimal display of color highlights.

Video Examples

  • Working example: