🔵NovatX AI Smart Trading Bot

We have implemented a collection of uncomplicated, yet highly effective AI components to automate trading activities in the cryptocurrency market. The combination of these elements, under particular market circumstances, facilitates high returns on investment. Below, we provide a brief description and algorithm of the assistants' work.

NovatX AI STB 1:

Our trading automation system employs several sophisticated AI components that, when combined, are capable of generating substantial profits under specific market conditions. Below is a brief overview of our assistants' functionality and algorithm.

When the assistant detects the absorption of the next market data point, it enters a confirmation standby mode, triggered by price action indicating a new trend, the intersection of a trend line, or any other pre-programmed technical analysis markers pointing to the future price movement direction.

Furthermore, the assistant takes into account the reliability coefficient in case the absorption occurs in an overbought zone, monitored by the assistant through the use of Bollinger bands.

After confirmation, the assistant enters the market and waits for the optimal moment to close the position with a profit or loss. The Stop-Loss and Take-Profit orders are dynamically calculated and set based on the current situation.

To provide all necessary functions, the assistant must implement the interface in the specified format:

public interface STB1 {

boolean hasCandlesOverlap(Candle first, Candle second); 
boolean isTrendStarting(Candle[] marketData); 
boolean hasTrendCrossed(Candle[] marketData); 

//Object oriented 
double getReliabilityCoefficient(); 
double getStopLossPrice(); 
double[] getTakeProfitPrices();

class Candle{ 
private String market; 
private Date time; 
private double maxVal, minVal, maxVol, minVol; } }

The assistant's constructor parameters are utilized to define the Stop-Loss and Take-Profit orders. We chose to implement this division to avoid unnecessary data storage in the assistant instances, storing this data only when an actual position is executed.

NovatX AI STB 2

NovatX AI STB Example 2 involves the use of a sophisticated algorithm to identify potential market trends for profitable trading opportunities. The algorithm relies on the identification of key market points and the confirmation of these points through the analysis of subsequent candles.

The first step in the algorithm is to identify the extreme points in the market, which are defined as the highest or lowest point when compared to the surrounding market data. The next candle is then identified as the second point, which serves as a confirmation signal for the initial point.

Once the responsible candle for the second point is closed, the algorithm translates the pattern into a "formed" state. At this point, the third candle is analyzed to determine the potential for profit.

The algorithm is based on short-term changes in market trends, which enables the algorithm to detect potential market impulses and capture small profits. The market entry point occurs at the beginning of the third candle.

If the stochastic indicator coefficient is not in agreement with the entry conditions, the algorithm will skip the current market situation. The stochastic coefficient is calculated based on the data transmitted to the constructor, while the first three functions are calculated on an empty object.

The implementation of this algorithm is defined in the following interface:

public interface TradingBot {
    
    MarketSignal getInitialPoint(Candle marketData);
    MarketSignal getConfirmationPoint(Candle currentCandle, Candle previousCandle);
    boolean isPatternFormed(MarketSignal initialPoint, MarketSignal confirmationPoint);
    double getStochastic();
    
    class Candle{
        double highValue, lowValue;
        double volume;
    }
    
}

This algorithm utilizes a unique separation of the logical structure to conserve memory while analyzing various candles. Overall, the NovatX AI STB Example 2 algorithm is a highly effective tool for identifying profitable market trends and capturing small profits.

NovatX AI STB 3:

The NovatX AI's Sample 3 STB is designed to use sophisticated algorithms to generate channel parameters. The assistant relies on exponential moving averages to compute these parameters. Specifically, the assistant builds two lines using the data points for the highest and lowest values. The assistant initiates a trade when a bullish candlestick closes within the channel.

After entering the market, the assistant dynamically sets the Stop-Loss and Take-Profits parameters, based on the data provided by the trading system.

The Bot3 public interface serves as a reliable means of integrating the assistant with third-party trading platforms. The interface includes several functions and classes, including:

public interface STB3 { 
Line calculateHighLine(Candle[] candleData); 
Line calculateLowLine(Candle[] candleData);
double computeExponentialAverage(Line lineOne, Line lineTwo);

double calculateBullishCandleDirection();

class Candle{
    double high,low;
    double volume;
}

}

The exponential moving average computation relies on the output of the first two functions. The assistant implements the appropriate logic to ensure that the calculation is efficient, even when dealing with incomplete Candle objects.

The assistant determines the direction of the bullish candlestick based on the data transferred to the builder. This direction is then used to make informed trading decisions.

NovatX AI STB 4:

The standby mode of the assistant employs advanced algorithms to detect two sequential data points in opposition to the current market trend. The assistant then initiates a trade by executing a buy or sell order, depending on the direction of the subsequent data point along the trend.

The assistant implements a dynamic approach to calculating Stop-Loss values, which are situated slightly above or below the nearest peak or trough, respectively. Additionally, Take-Profits are calculated in real-time based on the assistant's optimization strategies.

The implementation of the assistant relies on the Bot4 public interface. This interface includes a set of functions and classes that facilitate seamless integration with external software systems. Specifically, the interface provides the following functionalities:

public interface STB4 { 
boolean detectOppositeTrend(Candlestick first, Candlestick second);
double computeStopLoss();
double computeTakeProfit();

class Candlestick{
    double low, high;
    double trend;
}

}

The trading process starts with an empty object that gets initialized by the assistant's trading function. The assistant then applies its proprietary algorithms to compute the appropriate dynamic trading coefficients, such as Stop-Loss and Take-Profits, using previously filled objects. The auxiliary functions are used to calculate the current market trend and provide additional data for the optimization process.

NovatX AI STB 5:

Utilizing advanced technical indicators such as Bollinger bands and moving averages, the sophisticated AI-powered bot identifies cryptocurrencies that exhibit a gradual and wave-like pattern of purchase, indicating an imminent pump.

Based on a range of discernible signals that are typical for the start of a pump, the intelligent assistant executes strategic trades and acquires select coins during the preparatory stage. The assistant captures profits during the first wave of growth to secure a high percentage of returns without significant risk.

The interface for implementing this assistant is as follows:

public interface STB5 {
    double computeSmoothedValue(Candle[] candles);
    double calculatePumpFactor(double average, Candle[] candles);
    double getCriticalThreshold();
    double getFirstWaveThreshold();

    class Candle {
        double lowestValue, highestValue;
        double tradingVolume;
        Date timestamp;
    }
}

Given the large sets of data that the assistant analyzes, memory usage on calculation algorithms is high. Therefore, in the interest of optimization, intermediate data is not stored, and lists used for calculations are erased during intermediate stages.

NovatX AI STB 6:

The algorithm is based on a physical model of the movement of a body in free fall. It is observed that the rate of growth of price tends to decrease as it approaches its maximum, analogous to a body in free fall decelerating as it approaches the highest point of its trajectory.

The assistant monitors the dynamics of the price movement rate and calculates the potential turning point based on this information. Subsequently, the assistant decides whether to enter the market.

An additional factor that is considered is the divergence between the acceleration and velocity vectors. When the price is increasing, the acceleration vector is directed downward while the velocity vector is directed upward. Since these vectors have different projections, divergence between them indicates a reliable entry point.

To facilitate the calculation, the assistant implements an interface that does not include trading features.

public interface STB6 { 
double getPriceAcceleration(Candle[], candles); 
Point getCriticalPoint(Candle[], candles, double acceleration); 
char getProjectionSign(Point, criticalPoint, double firstFactor, double secondFactor); 
boolean isReady();
class Point{
    double x, y;
}

class Candle{
    double lowPrice, highPrice;
    double previousLowPrice, previousHighPrice;
}

}

To streamline the calculation process, the assistant stores data about the prices of previous candles in the Candle objects. This reduces the need for iteration through the array and simplifies the algorithm by increasing the memory used.

NovatX AI STB 7:

Once the assistant detects a trend, it patiently waits for the formation of a fractal. If the current trend is downward, the assistant anticipates the formation of a lower fractal. Conversely, if the trend is upward, it awaits the formation of an upper fractal.

This assistant employs a lazy initialization strategy to conserve memory by delaying the loading of unused data until after the trend's direction has been determined.

To accomplish its functions, the assistant's interface includes the following methods:

public interface STB7 { 
boolean isTradeSteady(Candle[] candlesticks, Date dateTimeframe); 
boolean isTrendReversed(Candle[] candlesticks, Date dateTimeframe); 
double getReliabilityCoefficient();
boolean isFractalReady();

double getTakeGain(double reliabilityCoefficient);

double getCutLoss(double reliabilityCoefficient);

class Candlestick {
	double minPrice, maxPrice, openPrice, closingPrice, volume;
	Date dateTime;
}

}

The appropriate data is initialized depending on the called function.

NovatX AI STB 8:

This assistant relies on Bollinger bands, a tool used for technical analysis of financial markets, to make informed decisions based on current price deviations. Bollinger bands are calculated by considering a standard deviation from a simple moving average, with the type of standard deviation (which the assistant uses a variation of) and the period of the moving average (which the assistant calculates dynamically) being the main parameters for calculation.

By assessing how the prices are positioned relative to the normal trading range, the assistant is able to estimate deviations in the current price, creating a channel within which normal prices are considered. A trading signal is triggered for the assistant when the price moves beyond the trading channel, either rising above the upper band or falling below the lower band. When the price chart fluctuates within the bands, the indicator does not provide any trading signals, thus preventing the assistant from executing trades.