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M-Cademy
Creating opportunities
for the future
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M-Chain
Increased
decentralization
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OUR SOLUTION ///
M-Found
Diversified
investment fund
investment fund
REVOLUTIONZING THE
FUTURE WITHAI-POWERED
INNOVATIONACROSS FINANCE,
HEALTH, AND EDUCATION.
M-HealthTech
Revolutionary AI-enabled
products to improve
health
products to improve
health
M-Chain
Intelligent
trading platform
trading platform
The prospects of AI are not just great in theory, they are also pretty incredible once you look at statistics. As with any big development in the world, one has to act quickly to harness the impact that can be made. Projected AI market size by 2027 is $407 billion with $1.8 trillion projected global AI market revenue in 2030.
Revolutionizing
Investment
Decisions with
Data-Driven
Insights
Analysis of social activity
Our algorithms analyze social media and information streams to identify the onset of marketing activities for specific cryptocurrencies.
Monitoring of opinion leaders
We analyze the activity of over 2,000 key figures in the crypto industry to predict changes in the market and react quickly to micro trends.
Extensive server infrastructure
Our server infrastructure is capable of processing huge amounts of data in the shortest possible time, allowing our algorithms to make lightning-fast decisions based on up-to-date information.
Technical analysis
Using advanced algorithms, we analyze price charts and trading patterns to determine optimal entry and exit points in the market.
Fundamental analysis
Includes evaluation of investments from leading funds, study of the economic model and technological basis. This method allows you to determine the current value of the token and its long-term potential.
Big data integration for complex analysis
By collecting and analyzing large volumes of data from around the world, our systems provide in-depth analysis that covers all aspects of market activity and economic trends.
Monitoring of cryptocurrency "whale" wallets
We analyze the social activity of over 1.1 million crypto investors, including wallets on decentralized platforms. This allows us to quickly react to changes in activity for individual coins.
Analyzing correlations in blogger networks and exchanges
Algorithms analyze correlations between activity on blogger networks and exchanges. This allows them to identify clusters of interrelated activities that can lead to price spikes for certain tokens.
A predictive model of neural networks
Using machine learning, the neural network builds predictive models based on collected data on marketing activities. These models enable informed investment decisions by setting thresholds for desired returns and minimizing risks.
Optimizing participation
The developed system determines the optimal points for entering and exiting the market. This helps to make profits while staying within the established safety parameters.
Our algorithms analyze social media and information streams to identify the onset of marketing activities for specific cryptocurrencies.
Monitoring of opinion leaders
We analyze the activity of over 2,000 key figures in the crypto industry to predict changes in the market and react quickly to micro trends.
Extensive server infrastructure
Our server infrastructure is capable of processing huge amounts of data in the shortest possible time, allowing our algorithms to make lightning-fast decisions based on up-to-date information.
Technical analysis
Using advanced algorithms, we analyze price charts and trading patterns to determine optimal entry and exit points in the market.
Fundamental analysis
Includes evaluation of investments from leading funds, study of the economic model and technological basis. This method allows you to determine the current value of the token and its long-term potential.
Big data integration for complex analysis
By collecting and analyzing large volumes of data from around the world, our systems provide in-depth analysis that covers all aspects of market activity and economic trends.
Monitoring of cryptocurrency "whale" wallets
We analyze the social activity of over 1.1 million crypto investors, including wallets on decentralized platforms. This allows us to quickly react to changes in activity for individual coins.
Analyzing correlations in blogger networks and exchanges
Algorithms analyze correlations between activity on blogger networks and exchanges. This allows them to identify clusters of interrelated activities that can lead to price spikes for certain tokens.
A predictive model of neural networks
Using machine learning, the neural network builds predictive models based on collected data on marketing activities. These models enable informed investment decisions by setting thresholds for desired returns and minimizing risks.
Optimizing participation
The developed system determines the optimal points for entering and exiting the market. This helps to make profits while staying within the established safety parameters.
Revolutionizing
Investment
Decisions with
Data-Driven
Insights
Market analysis
AI algorithms continuously analyze the market and predict potential price movements.
Execution of trading operations
The algorithm buys or sells cryptocurrency. For example, converting USDT to DOT. The algorithm monitors market changes in real time and adapts trading strategies. The algorithm limits risk to 10% of capital per trade and allows a loss of up to 1%. After three losing trades in a row, it is automatically suspended and restarted after one hour.
Profit taking and risk management
Once the minimum target profit threshold is reached, the AI algorithm closes the position, locking in the profit. If market conditions change for the worse, the algorithm promptly closes the position, limiting potential losses.
Reinvestment and process repetition
After each trade, the algorithm provides a return to the nominal asset, ensuring that the underlying capital is preserved. The process is repeated with new analysis and new trading opportunities, providing regular returns.
AI algorithms continuously analyze the market and predict potential price movements.
Execution of trading operations
The algorithm buys or sells cryptocurrency. For example, converting USDT to DOT. The algorithm monitors market changes in real time and adapts trading strategies. The algorithm limits risk to 10% of capital per trade and allows a loss of up to 1%. After three losing trades in a row, it is automatically suspended and restarted after one hour.
Profit taking and risk management
Once the minimum target profit threshold is reached, the AI algorithm closes the position, locking in the profit. If market conditions change for the worse, the algorithm promptly closes the position, limiting potential losses.
Reinvestment and process repetition
After each trade, the algorithm provides a return to the nominal asset, ensuring that the underlying capital is preserved. The process is repeated with new analysis and new trading opportunities, providing regular returns.
Revolutionizing
Investment
Decisions with
Data-Driven
Insights
At M-Power, we analyze a comprehensive range of data to drive our trading strategies and improve performance. Our analysis includes real-time market data, social media trends, and activities of key opinion leaders to identify emerging opportunities and market shifts. We also monitor trading patterns and historical performance to refine our AI algorithms. This extensive data analysis enables us to make precise trading decisions, manage risks effectively, and continuously adapt our strategies to maintain consistent profitability.
Revolutionizing
Investment
Decisions with
Data-Driven
Insights
In AI Crypto Management, we leverage data to enhance our trading efficiency on the exchanges. Our innovative AI algorithms analyze real-time market data to automate trading decisions, aiming for up to 30% monthly returns. This data-driven approach allows us to manage risks conservatively, track and refine performance, and optimize capital allocation across trades. By continuously adapting to market conditions, we ensure stable and consistent profitability while effectively safeguarding investor capital.