StocQt

A configurable stock chart for 100 stocks.

The StocQt application presents trend charts for a custom list of 100 stocks based on the NASDAQ-100. It allows the user to choose stocks from a list, and fetch the required data from the Financial Modeling Prep API using QNetworkAccessManager or from an offline dataset. The application also allows for favoriting up to 5 stocks for use in comparison charts.

The application uses several custom types such as Search, StockCheckBox, StockChart, StockView, and SettingsView. These types present the stock data in a readable form and let the user customize the trend chart. For example, the user can choose to view the weekly, monthly, quarterly, or half-yearly trends in the stock price.

The application uses a custom StockEngine singleton implemented in C++ for data handling, such as API requests and favoriting stocks. It implements a custom APIHandler class for fetching the online data.

void ApiHandler::stockHistory(const QString &symbol,
                              std::function<void(QList<HistoryData>)> onComplete)
{
    if (m_useLiveData) {
        QDateTime sixMonthsAgo = QDateTime::currentDateTimeUtc().addMonths(-6);
        QString to = QDateTime::currentDateTimeUtc().toString(m_dateFormat);
        QString from = sixMonthsAgo.toString(m_dateFormat);
        QString url = QString("https://financialmodelingprep.com/api/v3/historical-price-full/"
                              "%1?from=%2&to=%3&apikey=%4")
                          .arg(symbol, from, to, m_apiKey);
        m_getRequest.setUrl(QUrl(url));
        QNetworkReply *reply = m_accessManager.get(m_getRequest);
        connect(reply, &QNetworkReply::finished, [reply, this, onComplete]() {
            QString replyStr = QString(reply->readAll());
            if (reply->error() != QNetworkReply::NoError) {
                qDebug() << "Network error" << reply->errorString() << reply->readAll();
            }
            QByteArray data = replyStr.toUtf8();
            QList<HistoryData> dataList = parseHistory(&data);
            onComplete(dataList);
            reply->deleteLater();
					

应用程序使用 ObjectModel type to access visual data models that it depends on.

    id: mainWindow
        ...
    ListView {
        id: root
        ...
        model: ObjectModel {
            Item {
                id: stockContainer
                width: root.width
                height: root.height
                StockView {
                    id: stockView
                    anchors.fill: parent
                    visible: false
                    width: root.width
                    height: root.height
                }
                StockListView {
                    id: listView
                    visible: true
                    anchors.fill: parent
                    width: root.width
                    height: root.height
                }
            }
            FavoriteView {
                id: favoriteView
                width: root.width
                height: root.height
            }
            SettingsView {
                id: infoView
                width: root.width
                height: root.height
            }
        }
    }
					

The StockListModel is a custom data model listing the stocks with basic information such as stock ID, name, value, and favorite. This application uses this data model when the user wants to choose another stock from the list.

StockView and FavoriteView are complex data models that present a trend chart for the selected stock or a group of up to 5 stocks. They use another custom type, StockChart or FavoriteChart, which loads the data from the StockEngine into ListModels and presents the graphical trend of the stock price using a Surface3D , Bars3D ，或 Scatter3D .

Rectangle {
    id: chart
        ...
    function updateHistory(){
        updateStartDate()
        var startPoint = StockEngine.stockModel.indexOf(startDate)
        var totalPoints = StockEngine.stockModel.historyCount()
        var width = startPoint / 50
        for (var i = 0; i < totalPoints; i++) {
            var epochInDays = StockEngine.stockModel.historyDate(i, false) / 86400
            appendSurfacePoint(openModel, width, epochInDays, StockEngine.stockModel.openPrice(i))
            appendSurfacePoint(closeModel,width, epochInDays, StockEngine.stockModel.closePrice(i))
            appendSurfacePoint(highModel,width, epochInDays, StockEngine.stockModel.highPrice(i))
            appendSurfacePoint(lowModel,width, epochInDays, StockEngine.stockModel.lowPrice(i))
        }
        ...
    Surface3D {
        id: historyGraph
        ...
            Surface3DSeries {
                id: highSeries
                visible: true
                baseColor: "green"
                flatShadingEnabled: true
                drawMode: Surface3DSeries.DrawSurface
                itemLabelFormat: "Time: @xLabel High:@yLabel$"
                ItemModelSurfaceDataProxy {
                    itemModel: highModel
                    rowRole: "row"
                    columnRole: "column"
                    yPosRole: "value"
                }
            },
					

The SettingsView presents information on the application as well as a dropdown menu for choosing between offline and live data. Using live data also requires the user to provide an API key. A personal API key can be generated from the Financial Modeling Prep website , which can then be inserted into the API key prompt seen when choosing to use live data.

Rectangle {
    id: rectangle
        ...
                    function handleKey(keyValid) {
                        if (keyValid) {
                            invalidText.visible = false
                            confirmation.visible = false
                            StockEngine.setUseLiveData(true)
                        }
					

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