function sentiment(ticker)
Zorro Trader, automated trading, plugin architecture, S-Lang, sentiment analysis. References [1] Opteck GmbH. (2025). Zorro Trader Manual – Plugin Interface . [Online] Available: https://zorro-project.com/manual/Plugins.htm [2] Devine, J. (2022). Low-Latency Trading Systems . O'Reilly Media. [3] Vaswani, A., et al. (2017). Attention is All You Need. NeurIPS . [4] libcurl development team. (2024). libcurl – API for Client-Server Data Transfer . Appendix: Full Minimal Plugin Template // minimal_plugin.c #include <stdio.h> #include <string.h> __declspec(dllexport) int PLUGIN_INIT(void) return 0; __declspec(dllexport) int PLUGIN_EXIT(void) return 0; zorro plugin
// Custom user function callable from S-Lang double PLUGIN_CALL(char* name, double* params, int nParams) if(strcmp(name, "myFunction") == 0) return myFunction(params[0], params[1]); return -1; // error Zorro Trader Manual – Plugin Interface
| Method | Latency (mean) | Throughput (calls/sec) | Memory overhead | |--------|----------------|------------------------|------------------| | Native S-Lang function | 0.2 µs | 5,000,000 | 0 MB | | Plugin (simple math) | 1.5 µs | 660,000 | 1.2 MB | | Plugin (sentiment with cache) | 8.2 ms | 122 | 45 MB | | External Python via socket | 23 ms | 43 | 210 MB | Low-Latency Trading Systems
double get_sentiment(const char* ticker) char url[256]; snprintf(url, sizeof(url), "https://newsapi.org/v2/everything?q=%s", ticker); // Perform HTTP request -> jsonResponse double score = model->predict(jsonResponse); return score;
int PLUGIN_INIT(void) curl_global_init(CURL_GLOBAL_DEFAULT); curl = curl_easy_init(); model = load_model("sentiment.onnx"); return (curl && model) ? 0 : 1;