Redefining Algorithmic Trading Through Refonte Infini's Scientific Trading Bot

Reliable. Efficient. Straightforward . Altogether, these qualities make Refonte Infini scientific trading bot one of the best investment solutions for investors from all over the globe.

With markets open around the clock and a dizzying choice of assets to choose from, traders face formidable obstacles. Good timing, access to clever trading tactics, and a thorough grasp of technical analysis are all essential due to the steep learning curve and higher risk of loss - but it is very hard to do this all by yourself

With the ultimate aim of solving these challenges, 2016 we have been working non-stop since 2016 to build a scientific trading robot based on Artificial Intelligence and trading on the cryptocurrency futures market.

Exploring the Four Conceptual Pillars of Refonte Infini’s Scientific Trading Bot

Four core models interact and influence the decisions of the scientific trading bot:

• Gaussian Mixture Model (GMM) - Identifying market clusters, analyzing data distributions, and detecting patterns in complex datasets.
• Hidden Markov Model (HMM) - Predicting market regime changes, analyzing temporal data sequences, and identifying hidden states in market trends.
• Johnson SU's Model - Determining optimal trade entry points, handling data with wide-ranging variability, and analyzing non-normal distributions.
• Trailing Stop Loss - Risk management, protecting profits, defining exit points in volatile markets, automatically adjusting stop orders.

Intending to acquire a detailed insight into the market dynamics, it uses the Gaussian Mixture Model to detect clusters successfully. Yet, considering the imprevisible ups and downs of the cryptocurrency market, Refonte Infini's scientific trading bot predicts major changes by using the Hidden Markov Model to identify regime transitions in the market. In turn, the system utilizes Johnson Su's approach to find the best entry points and a Trailing stop-loss method to figure out when to depart.

Deciphering Market Dynamics with Gaussian Mixture Mode

GMMs are a type of probabilistic model that does a great job of spotting and depicting subpopulations within a larger population, especially when such subpopulations are assumed to adhere to a normal distribution.

GMMs' greatest strength is that they can process data points independently of the subpopulation they attribute to. Due to this capability, the model can learn about the different market subpopulations on its own. Crypto markets are especially good for this approach because of the intricacy and volatility that may lead to a multitude of subpopulation behaviours that aren't very apparent.

Step by step, the model successfully divides the crypto algorithmic trading marketplace into distinct "clusters" based on their respective activity patterns by using market data.

The Hidden Markov Model's Role in Market Forecasting

Quite straightforward, the term "Hidden Markov Model" comes from the fact that it is often used in cases where the mechanism or system generating the data remains unknown or concealed.

Fundamentally, HMMs work on the principle of statistical Markov processes, where the probability of transitioning to a future state depends only on the current state and not on the sequence of events that preceded it.

These patterns, often invisible to the naked eye, are crucial for understanding the ebb and flow of the cryptocurrency market. Yet, within these sequences, HMMs can detect nuanced shifts - from periods of calm to sudden volatility or other significant market transformations.

Optimizing Entry Points by Putting Johnson SU's Model at Work

Frankly, for most crypto enthusiasts, knowing the right entry point is one of the hardest elements of trading. But algorithmic trading gets rid of this dilemma through the Johnson SU distribution, a sophisticated tool that excels in managing the wide-ranging data characteristic of the volatile cryptocurrency market.

Capturing extreme highs and lows that are the hallmarks of this market, the Johnson SU distribution brings a level of precision and adaptability essential for successful automated trading. Its remarkable ability to transform complex and non-standard market data into a more analysable format sets this distribution apart. It takes the often convoluted and unpredictable data of the crypto world and converts it into a clearer, more decipherable form.

Crypto Traders' Safety Net through the Trailing Stop Loss

Trailing Stop orders can significantly elevate your trading game – and your profit and loss statements are sure to reflect this mastery! Quite simply, Trailing Stop is a type of order in crypto trading that intelligently tracks the market price when it moves favourably. This order includes a Stop (the trigger for the order) that follows the market price at a specific distance, known as the Trailing Distance, but only when the price is moving in a beneficial direction.

Yet, if the market price moves in the opposite direction, the Stop stays stationary. The clever part? If the market price reaches this steadfast Trailing Stop (the 'Stop'), it springs into action, triggering a Market or Limit order that's swiftly sent to the exchange

Proven Results: The Track Record of Our Scientific Trading Bot

How often do you get the opportunity to see your investments flourish, even in the most turbulent markets?Well, the numbers are not great: ECB estimates that over three quarters of crypto investors lost more than they earnt.

But with Refonte Infini, it all changes - all investors have the chance to outsmart the market's twists even during a dire crypto market. No stress, no losses and no mistakes - the scientific trading bot does all the work for you!

Our crypto trading robot achieved an impressive YTD return of 68.16% with a minimal drawdown (DD) of -1%. The previous years also saw substantial returns, with 102% in 2022, 93.14% in 2021, and 96.09% in 2020, all while maintaining low drawdowns.

Even in its early stages in 2019, the scientific trading bot delivered an 87.17% return with a 0.5% drawdown. At all times, the robot adheres to strict risk control measures, including no overnight positions and maintaining a daily stop loss of less than or equal to 5% of the nominal account value.

Knowing that your portfolio is being managed by an algorithm that enters and exits mark et positions while you're not with your eyes peeled on the screen is, without a doubt, a great relief!

Join Refonte Infini and start your algorithmic trading adventure to take your trading to the next level if you haven't already.