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Profit-driven HODLing with MintWhale: transforming crypto trading with AI-powered precision

Client Overview

Company

MintWhale

Headquarters

USA

Industry

Cryptocurrency trading

Key Objective

Transforming the HODL (Hold On for Dear Life) strategy to generate profit

Market Focus

Entering the cryptocurrency arena

The Challenge

In the cryptocurrency market, many investors simply "HODL" their digital assets. This passive strategy, built on holding rather than analyzing, often leads to stagnant portfolios amid rapid price swings and complex market dynamics.

A major obstacle for crypto owners is the lack of integrated analytics. Without platforms that fuse real-time blockchain telemetry, smart contract data, and tokenomics, many investors rely solely on surface metrics like market capitalization and trading volume.

MintWhale recognized this gap and sought to create a simple solution that:

  • Integrates real-time data: combines blockchain telemetry, historical trends, and market order books into a single, comprehensive view;
  • Conducts predictive analytics applies machine learning to predict market movements and token trajectories;
  • Implements advanced signal processing: algorithmically detects volatility patterns and liquidity shifts for nimble trading decisions.

By addressing these technical shortcomings, MintWhale planned to equip investors with an AI-driven system that goes beyond the usual buy-and-hold methodology, unlocks returns, and sustains growth in volatile environments.

Business Goals

goals

MintWhale's mission was to make a passive HODL strategy more dynamic, profitable, and entertaining, even for those with no background in cryptocurrencies, IT, or financial trading. Working closely with our team, the client refined their strategy with clear and ambitious objectives:

Focus on Crypto

Focus on Crypto

Shift away from using traditional fiat currencies, such as the US dollar or euro, centering all analytics solely on cryptocurrency performance.

Emphasis on the Highs

Emphasis on the Highs

Identify and amplify positions with the greatest prospects for significant investment growth.

Simplified Complex Analysis

Simplified Complex Analysis

Guarantee accessible, data-driven recommendations by integrating real-time blockchain analytics, predictive modeling, and advanced signal processing into an intuitive framework.

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Solution Highlights

solution

The Qulix team developed an AI-based trading engine to optimize cryptocurrency portfolios. It uses AI to reallocate token shares by analyzing real-time market data and historical performance metrics. Thus, every transaction is data-validated and strategically timed.

Key Technical Components

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Threat Mitigation
  • Advanced Data Integration The system aggregates real-time blockchain telemetry, exchange order books, and on-chain metrics to create a holistic view of market conditions. This single data stream feeds into our ML models to generate actionable estimations.
  • Predictive Analytics & Dynamic Rebalancing Using statistical models and AI algorithms, the engine predicts market movements and identifies optimal rebalancing opportunities. It performs cross-trading — switching token allocations — to capitalize on emerging trends and maintain a balanced risk-reward profile.
  • Configurable Trading Parameters In collaboration with industry experts, the Qulix team crafted risk models and token selection criteria for users. Investors set desired parameters such as risk tolerance, profit targets, or acceptable drawdowns, and the system offers options for individual investment strategies.

How It Works

  1. Connect
    Users link their digital wallets to the platform, providing direct access to blockchain networks in real time. The connection security is guaranteed by the latest global standards: no intermediaries, encryption with private keys, 100% transaction confirmation, and more.
  2. Set Up
    Users select tokens and their amounts from a list. They can then define key parameters, including risk levels, projected returns, and acceptable loss margins.
  3. Execute
    The platform uses AI algorithms to process multi-source data. When market conditions meet the system’s thresholds for volatility or liquidity changes, the engine autonomously rebalances positions, executing cross-trades to maximize growth potential while managing risk.
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Profit Generation

MintWhale has an algorithmic trading engine. The major aspect of the platform is that it doesn’t resort to stablecoins or any fiat currencies.

As the client is not focused on USD, EUR, or other currencies, the key goal of the software is to help users capitalize on the rising price of tokens and the accrual of their reserves over time.

How It Works

Opportunity Detection

The engine constantly monitors token pairs for predictable patterns and correlations. When the relative price of one token (A) deviates by a certain percentage from the cost of the other token (B), our intelligent models signal that it's an optimal moment for a cross-exchange.

Cross-Exchange

Instead of maintaining static positions, the system actively reallocates assets. It applies exchange rate extremes to swap tokens, thereby boosting both the overall token value and quantity held. This rebalancing capitalizes on upward price movements while increasing token reserves.

Risk-Optimized Crypto Focus

By eschewing stablecoins and fiat currencies, MintWhale remains fully within the crypto domain. This approach allows the platform to benefit directly from the inherent volatility and growth potential of digital assets. The strategy balances aggressive opportunity capture with safe risk management.

Example

Initial Portfolio:
  • 100 tokens of A
  • 100 tokens of B
  • Exchange rate — A:B = 1:1

PHASES

Phase 1: Market Change — Rate Shift to 1.1

As the price of token A rises relative to token B, the exchange rate shifts to 1.1. The system recognizes this deviation and executes a trade by converting 20 tokens of A into token B.

Phase 2: Market Correction — Rate Shift to 0.9

Later, the exchange rate adjusts to 0.9, indicating that token B has gained value relative to token A. The engine now identifies the opportunity to rebalance. It performs reverse trade to replenish A tokens back to the desired level. It targets the recovery of 20 A tokens by converting a portion of B tokens.

After Trade:

  • A tokens: 100 - 20 = 80
  • B tokens increase, calculated on the favorable rate, resulting in a new total of 122 tokens

After Second Trade:

  • A tokens are restored to 100
  • B tokens adjust to 104
  • Net gain — 4 tokens, reflecting the profit captured through the shifting exchange dynamics
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Token Overview

token

The MintWhale ecosystem uses the MWL token to activate unique utility features and provide monetizable benefits to holders while supporting the platform's decentralized governance. The token permits services such as commission discounts, staking rewards, and profit sharing, and it additionally allows holders to influence protocol decisions and drive future tech improvements.

Token Metrics

Ticker:
  • MWL
Blockchain:
  • Binance Smart Chain
Token Standard:
  • BEP20
Token Type:
  • Utility & Governance
Total Token Supply:
  • 1 billion
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Tech Stack

techs

Frontend Development
  • React
Backend Development
  • Java
  • Spring
  • PostgreSQL
Blockchain Integration
  • Solidity
  • Zeppelin
External Integrations
  • DocuSign Connector Management
Infrastructure & Deployment
  • Docker & Kubernetes
  • Cloud Deployment Support
  • Microservices Architecture

Why Qulix?

why us

Selected for The Global Outsourcing 100 list by IAOP (2020, 2022, 2023, 2024)

Selected for The Global Outsourcing 100 list by IAOP (2020, 2022, 2023, 2024)

Full-cycle development in the fintech domain: from traditional mobile banking solutions to full-scale neo-bank platforms

25+

years in the market

200+

clients in 30 countries worldwide

500+

qualified in-house engineers

Contacts

get in touch

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