Wow, that's great, Users can always find more complex ideas for Python exchange data with Zorro Trader, and develop very efficient code to trade dynamic strategies:

Code
#include <litec.h>
#include <trade.h>
#include <zmq.h>

// Declare ZeroMQ functions
void* zmq_ctx_new();
void* zmq_socket(void* context, int type);
int zmq_connect(void* socket, const char* endpoint);
int zmq_send(void* socket, const char* buf, int len, int flags);
int zmq_recv(void* socket, char* buf, int len, int flags);

void run() {
    // Initialize ZeroMQ context and socket
    void* context = zmq_ctx_new();
    void* requestor = zmq_socket(context, ZMQ_REQ);
    zmq_connect(requestor, "tcp://localhost:5555");

    while(algo(loop("EUR/USD", "USD/JPY"))) {
        // Prepare data to send (example: last 10 close prices)
        var data[10];
        int i;
        for(i = 0; i < 10; i++)
            data[i] = priceClose(i);

        // Send data to Python server
        zmq_send(requestor, (const char*)data, sizeof(data), 0);

        // Receive prediction from Python server
        char buffer[256];
        zmq_recv(requestor, buffer, sizeof(buffer), 0);

        // Process the received prediction for trading decisions
        // ...
    }

    // Close ZeroMQ socket and context
    // ...
}


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