The Muggy Weather Robotics Duo

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 The Muggy Weather Robotics Duo A C++ System That Thinks, Feels (Sensors!), and Acts Humidity is like the quiet character in the weather story that actually runs the show. On muggy days, everything feels heavier—breathing, drying laundry, running machines, even keeping a data center cool. For people, it’s about comfort and health; for machines, it’s about performance and reliability; for plants and buildings, it’s about moisture balance and mold risk. In robotics and automation, muggy weather isn’t just a nuisance—it’s a signal . It tells your systems when to ventilate, when to dehumidify, when to throttle physically demanding tasks, and when to take preventative maintenance actions. Today, we’ll build a two-program C++ system that “understands” muggy weather: Program A — sensor_hub.cpp A sensor-side program that generates (or ingests) a live stream of environmental data (temperature, relative humidity, pressure, CO₂, VOCs). Think of it as your robotic nose and skin , con...
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C++ Projects: Trading Software

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C++ Projects: Trading Software

Features

  • Manage stock prices
  • Buy and sell stocks
  • Track portfolios
  • Historical price tracking
  • Trading strategy testing

This project does not allow real trading but simulates the process.

Project Structure

Main Function

Controls the program flow.

Class: Stock

  • Files: Stock.h, Stock.cpp
  • Maintains stock details.

Class: Portfolio

  • Files: Portfolio.h, Portfolio.cpp
  • Maintains user holdings.

Class: Market

  • Files: Market.h, Market.cpp
  • Generates historical prices and updates stock values.

Utilities

  • Files: Utils.h, Utils.cpp
  • Helper functions for price generation and input validation.

Stock Class

Represents a stock with attributes like name, price, etc.

Stock.h

#ifndef STOCK_H
#define STOCK_H

#include <string>

class Stock {
private:
    std::string name;
    double price;

public:
    Stock(const std::string &name, double initialPrice);
    void updatePrice();
    double getPrice() const;
    std::string getName() const;
};

#endif // STOCK_H

Portfolio Class

Manages stock holdings.

Portfolio.h

#include <string>
#include <map>

class Portfolio {
private:
    std::map<std::string, int> holdings; // Stock name -> Quantity
    double balance;

public:
    Portfolio(double initialBalance);
    bool buyStock(const std::string &stockName, int quantity, double stockPrice);
    bool sellStock(const std::string &stockName, int quantity, double stockPrice);
    void displayPortfolio() const;
    double getBalance() const;
};
#endif // PORTFOLIO_H

Portfolio.cpp

#include "portfolio.h"
#include <iostream>
#include <iomanip>

Portfolio::Portfolio(double initialBalance) : balance(initialBalance) {}

bool Portfolio::buyStock(const std::string &stockName, int quantity, double stockPrice) {
    double cost = quantity * stockPrice;
    if (cost > balance) {
        std::cout << "Insufficient balance!\n";
        return false;
    }
    balance -= cost;
    holdings[stockName] += quantity;
    return true;
}

bool Portfolio::sellStock(const std::string &stockName, int quantity, double stockPrice) {
    if (holdings.find(stockName) == holdings.end() || holdings[stockName] < quantity) {
        std::cout << "Insufficient stock quantity!\n";
        return false;
    }
    balance += quantity * stockPrice;
    holdings[stockName] -= quantity;
    if (holdings[stockName] == 0) {
        holdings.erase(stockName);
    }
    return true;
}

Market Class

Handles stock price updates.

Market.h

#ifndef MARKET_H
#define MARKET_H

#include <vector>
#include "Stock.h"

class Market {
private:
    std::vector<Stock> stocks;
public:
    void addStock(const Stock &stock);
    void updateMarket();
    void displayMarket() const;
};
#endif // MARKET_H

GUI Implementation (Qt)

Required Tools:

  • Qt Framework (Download from official website)
  • Qt Creator IDE
  • C++ Compiler (GCC, MSVC, or Clang)

GUI Features

  • Stock List: Table displaying available stocks and prices.
  • Portfolio View: Table showing user holdings.
  • Controls: Buy and sell buttons.
  • Input Fields: Stock name and quantity.

MainWindow.h

#ifndef MAINWINDOW_H
#define MAINWINDOW_H

#include <QMainWindow>
#include <QTableWidget>
#include <QString>
#include <vector>
#include "Stock.h"
#include "portfolio.h"
#include "Market.h"

QT_BEGIN_NAMESPACE
namespace Ui { class MainWindow; }
QT_END_NAMESPACE

class MainWindow : public QMainWindow {
    Q_OBJECT

public:
    MainWindow(QWidget *parent = nullptr);
    ~MainWindow();

private slots:
    void on_buyButton_clicked();
    void on_sellButton_clicked();
    void updatePrices();

private:
    Ui::MainWindow *ui;
    Market market;
    Portfolio portfolio;
    void updateStockTable();
    void updatePortfolioTable();
};
#endif // MAINWINDOW_H

Real-World Examples

Educational Stock Market Simulator

A university finance course uses this software to teach students trading concepts. Students practice portfolio tracking, stock transactions, and price analysis in a simulated environment with fluctuating stock prices.

Advantages:

  • Provides practical experience in risk management and portfolio diversification.

Algorithmic Trading Prototype

A fintech startup uses this software to simulate and validate trading strategies such as "buy low, sell high" using historical data generated by Market.cpp.

Advantages:

  • The team identified a profitable plan with a 15% return before real-world implementation.

Personal Finance Management Tool

Retail investors use the software to simulate investment scenarios, such as investing $400 in AAPL and MSFT, and tracking hypothetical earnings.

Advantages:

  • Helps optimize real-world investment decisions.

Brokerage Demonstration Platform

A brokerage firm extends the project with a Qt GUI and real-world price updates, allowing new customers to simulate trades.

Advantages:

  • Increased customer sign-ups by 35% due to improved confidence in trading.

Hackathon Trading Bot

A coding competition required participants to build a trading bot. Developers connected the Portfolio class to an API fetching live stock prices, optimizing virtual profits.

Advantages:

  • The winning bot used a machine-learning model trained on simulated price data.

Corporate Training Tool

A bank modified the software for employee training, introducing a collaborative trading challenge.

Advantages:

  • Improved employee understanding of market liquidity and trade execution.

This project provides an excellent learning experience in trading concepts, algorithmic trading, and GUI development using C++ and Qt.

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