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https://github.com/alishbz/trader_bot

A high-performance trade bot built with C++ designed for cryptocurrency markets. This bot leverages efficient algorithms and multithreading to execute trades based on user-defined strategies. Includes features like real-time market data analysis, customizable trading parameters, and risk management tools.
https://github.com/alishbz/trader_bot

algorithmic-trading algorithms binance-api cpp finance hft-trading qt6 quant

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A high-performance trade bot built with C++ designed for cryptocurrency markets. This bot leverages efficient algorithms and multithreading to execute trades based on user-defined strategies. Includes features like real-time market data analysis, customizable trading parameters, and risk management tools.

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README 

          
# Trader_Bot



### **Author:**  

**Ali Ĺžahbaz**  

📧 **Email:** ali_sahbaz@outlook.com  



---



## **Description**  

**Trader_Bot** is a high-performance trade bot built with **C++ and Qt Framework 6.7.1**, specifically designed for cryptocurrency markets.  

This bot leverages advanced algorithms, multithreading, and real-time data analysis to execute trades based on user-defined strategies. With its customizable parameters and robust risk management tools, it serves as a powerful tool for both backtesting and live trading.



---



## **Required Expertise & Keywords**  

This project requires expertise in the following areas:  

- **Quant Developer**: Building high-performance algorithms for financial markets.  

- **HFT Algorithms**: High-frequency trading strategies and systems.  

- **C++**: Proficiency in C++ for developing performance-critical applications.  

- **Mathematics**: Advanced mathematical models for financial data analysis and algorithmic trading.  

- **Finance**: Understanding of financial markets, trading strategies, and risk management.  

- **Cryptocurrency Markets**: Knowledge of cryptocurrency trading platforms and APIs.  

- **Multithreading**: Efficient execution of concurrent tasks in high-performance applications.  

- **Technical Analysis**: Use of indicators like Moving Averages, MACD, Bollinger Bands, etc.  

- **Backtesting**: Designing and running tests for trading strategies using historical data.



**Keywords:**  

Quantitative Finance, Algorithmic Trading, High-Frequency Trading (HFT), C++, Mathematical Models, Cryptocurrency, Real-Time Data, Trading Strategies, Backtesting, Risk Management, Trading Bots, Finance, Technical Analysis.



---



## **Features**

### **Core Functionalities**

- **Custom Graphics Processing:** High-performance visualization tools for monitoring and analysis.  

- **Trade / HFT Algorithm Integration:** Implements cutting-edge algorithms for high-frequency trading.  

- **Modern Software Patterns:** Employs advanced design patterns for maintainable and scalable development.  

- **Simplified Strategy Management:** Easily add and test new trading strategies with minimal effort.  

- **Custom Binance WebSocket Library:** Built for efficient real-time data retrieval and communication.  

- **Custom Binance REST API Implementation:** Provides seamless interaction with Binance endpoints.  

- **Real-Time Testing:** Direct testing of strategies with live market data.  

- **Backtesting Support:** Analyze historical data to optimize and validate strategies.  

- **Fake Account Testing:** Test strategies without risking actual funds.  

- **Custom OHLC Structures & Math Models:** Supports complex calculations and high-precision operations.  

- **20+ Pre-Built Strategies:** Includes templates (`template_strategy.h`) for creating your own strategies.  

- **Comprehensive Logging Support:** Provides detailed logs for debugging, analysis, and auditing.  

- **User-Friendly GUI:** Offers an intuitive interface for traders to easily manage and monitor their trading activities.



---



## **Screenshots**  



### **1. Binance Fake Account & Realtime Monitoring**  

![Fake Account Monitoring](photos/p1.png)  

This page emulates a Binance account. It supports:  

- Monitoring real-time coin data  

- Placing buy/sell orders  

- Integrating strategies  

- Viewing open orders, wallet balance, and logs  



### **2. History Testing Page**  

![History Testing](photos/p2.png)  

Provides an interface to visualize and analyze **RSI** and real-time data graphics. Features include:  

- Configurable visibility of data elements  

- Adjustable display settings  



### **3. Strategy Testing & Backtesting**  

![Backtesting](photos/p3.png)  

Allows users to:  

- Select a strategy and a time range for backtesting  

- Start testing and monitor data flow  

- Control data flow speed via the GUI  

- Log activities and set custom parameters for strategies  

- Select coins and specify candle types, supporting up to second-level granularity  



### **4. Visual Trade Analysis**  

![Trade Analysis](photos/p4.png)  

Displays **LONG** and **SHORT** orders directly on the graph. Features include:  

- Analyzing past wallet performance  

- Evaluating the strength of strategies through logs and graphical representations  



---



## **Core Concepts & Indicators**



### **1. Moving Average (MA)**  

The **Moving Average (MA)** calculates the average price movement of an asset over time. It helps traders smooth out price data and identify trends.  



#### **Types of Moving Averages:**



- **Simple Moving Average (SMA):**  

  The arithmetic average of prices over a specific time period.  

  Example: A 50-day SMA would average the closing prices of an asset over the past 50 days.



- **Exponential Moving Average (EMA):**  

  EMA gives more weight to recent prices, making it more sensitive and faster to respond to price changes.  

  Example: The 12-period EMA gives more importance to the last 12 price points than to the earlier ones.



**Application in Trading:**  

Moving Averages can act as support and resistance levels. When the price is above a moving average, it may be seen as a support level, while if the price is below, it can be seen as a resistance level.  



#### **Crossover Strategies:**

- **Golden Cross:** When a short-term moving average crosses above a long-term moving average, it's a potential **buy signal**.  

  Example: A 50-day SMA crossing above a 200-day SMA.

  

- **Death Cross:** When a short-term moving average crosses below a long-term moving average, it’s a potential **sell signal**.  

  Example: A 50-day SMA crossing below a 200-day SMA.



---



### **2. MACD (Moving Average Convergence Divergence)**  

MACD is a momentum and trend-following indicator that shows the relationship between two moving averages of an asset's price.  

- The MACD line is calculated by subtracting the 26-period EMA from the 12-period EMA.  

- The signal line is the 9-period EMA of the MACD line.



**Trading Signals:**  

- **Bullish signal:** When the MACD crosses above the signal line.  

- **Bearish signal:** When the MACD crosses below the signal line.



---



### **3. Bollinger Bands**  

Bollinger Bands are volatility indicators that consist of a middle band (SMA) and two outer bands that are standard deviations away from the middle band.  

- **Upper Band:** Represents overbought conditions.  

- **Lower Band:** Represents oversold conditions.



**Usage in Trading:**  

- Price bouncing off the lower band may indicate a **buy** signal, and bouncing off the upper band may indicate a **sell** signal.



---



### **4. Fibonacci Retracement**  

Fibonacci retracement is a tool used to identify potential levels of support and resistance. The key Fibonacci levels are **23.6%, 38.2%, 50%, 61.8%**, and **100%**.



**Example:**  

- If the price rises from 100 to 200, traders may expect the price to retrace to levels such as 161.8% of the rise (161.8% of 100-200 move) before continuing the uptrend.



---



### **5. Stochastic Oscillator**  

The Stochastic Oscillator measures the level of the closing price relative to the high-low range over a specific period.  

- **Overbought zone:** Values above 80 indicate overbought conditions.  

- **Oversold zone:** Values below 20 indicate oversold conditions.



**Usage in Trading:**  

- A **buy signal** occurs when the oscillator crosses from below 20 to above 20.  

- A **sell signal** occurs when it crosses from above 80 to below 80.



---



### **6. Divergence**  

Divergence occurs when the price of an asset moves in the opposite direction of an indicator (such as MACD or RSI), potentially signaling a reversal.  



**Example:**  

- **Bullish Divergence:** When prices form lower lows, but the indicator forms higher lows, suggesting potential upward momentum.  

- **Bearish Divergence:** When prices form higher highs, but the indicator forms lower highs, suggesting potential downward momentum.



---



### **7. Parabolic SAR (Stop and Reverse)**  

The Parabolic SAR is a trend-following indicator that helps determine the potential reversal points in the market.  

- When the SAR is below the price, the trend is bullish, and when it is above the price, the trend is bearish.



---



### **8. Ichimoku Kinko Hyo**  

This is a Japanese technical analysis indicator that provides insights into the market’s trend, support and resistance levels, and potential future price movements. It consists of five lines:  

- **Tenkan-sen:** A fast-moving average.  

- **Kijun-sen:** A slower-moving average.  

- **Senkou Span A and B:** Leading lines forming the cloud, which indicates support or resistance.  

- **Chikou Span:** The lagging line, showing the current price in relation to the past.



---



### **9. ATR (Average True Range)**  

The ATR measures volatility by calculating the average of true ranges (the difference between the high and low of an asset for a period). A higher ATR indicates higher volatility.



---



### **10. Chaikin Money Flow (CMF)**  

CMF is a volume-weighted average of accumulation and distribution over a specified period. It measures the money flow of an asset.  



**Interpretation:**  

- **Positive CMF:** Indicates accumulation (buying pressure).  

- **Negative CMF:** Indicates distribution (selling pressure).



---



### **11. On-Balance Volume (OBV)**  

OBV is a cumulative indicator that adds volume on up days and subtracts volume on down days, helping to gauge the direction of the trend.



---



### **12. Williams %R**  

Williams %R is a momentum indicator that measures overbought and oversold conditions.  

- **Overbought:** Values above -20.  

- **Oversold:** Values below -80.



---



### **13. Economic Indicators**  



- **CPI (Consumer Price Index):** Measures the average change over time in the prices paid by consumers for goods and services.  

- **PPI (Producer Price Index):** Measures the average change in selling prices received by domestic producers for their output.  

- **GDP (Gross Domestic Product):** Represents the total value of goods and services produced by a country in a specific time period.  



---



### **14. Option Greeks**



- **BETA:** Measures an asset’s sensitivity to market movements.  

- **Delta:** Measures the rate of change of an option’s price relative to the underlying asset’s price.  

- **Gamma:** Measures the rate of change in delta.  

- **Vega:** Measures an option's sensitivity to volatility.  

- **Theta:** Measures the time decay of options.  

- **Rho:** Measures an option's sensitivity to interest rate changes.



---



### **15. Trading Concepts**  

- **Spread:** The difference between an asset’s buying price and selling price.  

- **Margin:** The amount of capital required to open a position.  

- **Leverage:** Allows you to control a larger position with a smaller amount of capital.  

- **Drawdown:** The decline from the highest value to the lowest during a particular period.  



---



## **How to Use**  



1. Clone the repository:  

   ```bash

   git clone https://github.com/Alishbz/Trader_Bot.git

   cd Trader_Bot