changed types might remove ticker info bc replaced by figi

.gitignore

@@ -17,10 +17,20 @@ target/
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
 
+# env
+.env
+
 
 # Added by cargo
 
 /target
 
-/chromedriver-win64/*
+# /chromedriver-win64/*
-/economic_events.json
+
+# data folders
+/economic_events*
+/economic_event_changes*
+/corporate_events*
+/corporate_prices*
+/corporate_event_changes*
+/data*

Cargo.toml

@@ -1,13 +1,50 @@
 [package]
-name = "WebScraper"
+name = "event_backtest_engine"
 version = "0.1.0"
-edition = "2024"
+edition = "2021"
+authors = ["Your Name <you@example.com>"]
+description = "High-impact economic & corporate earnings data collector for short-event backtesting (overnight/weekend gaps)"
+license = "MIT OR Apache-2.0"
+repository = "https://github.com/yourname/event_backtest_engine"
+keywords = ["finance", "earnings", "economic-calendar", "backtesting", "quant"]
+categories = ["finance", "data-structures", "asynchronous"]
 
+# ===================================================================
+# Dependencies
+# ===================================================================
 [dependencies]
-fantoccini = { version = "0.21.5", default-features = false, features = ["native-tls"] }
+# Async runtime
-tokio = { version = "1", features = ["full"] }
+tokio = { version = "1.38", features = ["full"] }
-serde = { version = "1", features = ["derive"] }
+
-anyhow = "1.0"
+# Web scraping & HTTP
-futures = "0.3"
+reqwest = { version = "0.12", features = ["json", "gzip", "brotli", "deflate", "blocking"] }
+scraper = "0.19"                    # HTML parsing for Yahoo earnings pages
+fantoccini = { version = "0.20", features = ["rustls-tls"] }  # Headless Chrome for finanzen.net
+yfinance-rs = "0.7.2"
+
+# Serialization
+serde = { version = "1.0", features = ["derive"] }
 serde_json = "1.0"
-chrono = "0.4.42"
+csv = "1.3"
+zip = "6.0.0"
+flate2 = "1.1.5"
+
+# Generating
+rand = "0.9.2"
+
+# Environment handling
+dotenvy = "0.15"
+
+# Date & time
+chrono = { version = "0.4", features = ["serde"] }
+
+# Error handling
+anyhow = "1.0"
+
+# Logging (optional but recommended)
+tracing = "0.1"
+tracing-subscriber = { version = "0.3", features = ["fmt", "env-filter"] }
+
+# Parallel processing (for batch tickers)
+futures = "0.3"
+rayon = "1.10"  # optional: for parallel price downloads

README.md

@@ -1,4 +1,251 @@
-# WebScraper
+# WebScraper — Wirtschaftskalender Datenextraktion
+
+Ein leistungsstarker Web-Scraper in **Rust**, der hochwichtige Wirtschaftsereignisse von **finanzen.net** extrahiert und analysiert.
+
+---
+
+## 📋 Projektübersicht
+
+Dieses Tool automatisiert die Extraktion von Wirtschaftsdaten aus dem Finanzen.net Wirtschaftskalender, mit besonderem Fokus auf hochwichtige Ereignisse (3 gelbe Sterne). Die extrahierten Daten werden in strukturiertem JSON-Format gespeichert und umfassen umfangreiche Metadaten für weitere Analysen.
+
+---
+
+## ✨ Hauptfunktionen
+
+* **Selektive Extraktion:** Fokussiert ausschließlich auf hochwichtige Wirtschaftsereignisse (3 gelbe Sterne).
+* **Intelligentes Chunking:** Automatische Aufteilung großer Datumsbereiche in handhabbare Blöcke.
+* **Robuste Datumsverarbeitung:** Unterstützung für deutsche und internationale Datumsformate.
+* **Datenkonsistenzprüfung:** Umfassende Validierung der extrahierten Daten.
+* **Duplikaterkennung:** Automatische Erkennung und Entfernung doppelter Einträge.
+* **Graceful Shutdown:** Elegante Behandlung von Abbruchsignalen (Ctrl+C).
+* **Echtzeit-Export:** Parallele Speicherung von Zwischen- und Endergebnissen.
+
+---
+
+## 🛠 Technischer Stack
+
+* **Programmiersprache:** Rust
+* **Web Automation:** Fantoccini (WebDriver Client)
+* **Datum/Zeit:** Chrono
+* **JSON-Verarbeitung:** Serde, serde_json
+* **Asynchrone Verarbeitung:** Tokio
+* **Browser-Treiber:** ChromeDriver
+
+---
+
+## 📁 Projektstruktur
+
+```
+WebScraper/
+├── src/
+│   └── main.rs              # Hauptanwendungslogik
+├── chromedriver-win64/      # ChromeDriver Binary
+├── Cargo.toml               # Rust Abhängigkeiten
+├── 
+├──
+├── Cargo.lock               # Versionssperren
+├── countries.json          # Länderreferenzdaten
+├── continents.json         # Kontinentreferenzdaten
+└── README.md               # Diese Datei
+```
+
+---
+
+## 📊 Datenmodell
+
+Extrahiert werden `EconomicEvent`-Strukturen mit folgenden Feldern:
+
+```rust
+struct EconomicEvent {
+    country: String,        // Herkunftsland
+    date: String,           // Datum (ISO-Format)
+    time: String,           // Uhrzeit
+    event: String,          // Ereignisname
+    actual: String,         // Tatsächlicher Wert
+    forecast: String,       // Prognosewert
+    previous: String,       // Vorheriger Wert
+    importance: String,     // Wichtigkeit (z. B. "High")
+    description: String     // Beschreibung
+}
+```
+
+---
+
+## 🚀 Installation & Einrichtung
+
+### Voraussetzungen
+
+* **Rust Toolchain** installieren:
+
+```bash
+curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs/ | sh
+```
+
+* **ChromeDriver** herunterladen:
+
+  * Webseite: `https://chromedriver.storage.googleapis.com/index.html`
+  * Oder: `https://googlechromelabs.github.io/chrome-for-testing/`
+  * Entpacke in `chromedriver-win64/` Verzeichnis
+
+* **Chrome Browser** muss installiert sein.
+
+### Build & Ausführung
+
+```bash
+# Projekt klonen/erstellen
+git clone <repository-url>
+cd WebScraper
+
+# Abhängigkeiten herunterladen
+cargo fetch
+
+# Projekt kompilieren und ausführen
+cargo run --release
+```
+
+---
+
+## ⚙️ Konfiguration
+
+### Datumsbereich
+
+Standardmäßig extrahiert der Scraper Daten zwischen konfigurierbaren Grenzen. Beispiel-Aufruf in `main()`:
+
+```rust
+let events = scrape_all_events_with_chunking(&client, "2007-02-13", "2025-12-01").await?;
+```
+
+### Chrome-Optionen
+
+Chrome-Verhalten kann in den Capabilities angepasst werden, z. B.:
+
+```json
+"args": [
+  "--disable-gpu",
+  "--disable-notifications",
+  "--disable-popup-blocking",
+  "--disable-blink-features=AutomationControlled"
+]
+```
+
+> Hinweis: Für Headless- oder Headful-Ausführung kann das `--headless`-Flag je nach Use Case hinzugefügt oder entfernt werden.
+
+---
+
+## 📈 Ausführungsablauf
+
+1. **Initialisierung:** ChromeDriver starten, Browser-Session aufbauen
+2. **Navigation:** Zielseite (`https://www.finanzen.net/termine/wirtschaftsdaten/`) aufrufen
+3. **Overlay-Handling:** Störende Elemente (Cookie/Consent) entfernen oder umgehen
+4. **Tab-Auswahl:** Hochwichtige Ereignisse (3 Sterne) auswählen
+5. **Chunked Extraction:**
+
+   * Datumsbereich in Blöcke aufteilen
+   * JavaScript-basierte Datenextraktion
+   * Automatische Paginierung / "Load more"
+6. **Datenvalidierung:** Konsistenz- und Qualitätsprüfungen
+7. **Export:** JSON-Dateien mit Zeitstempel generieren
+
+---
+
+## 🔍 Datenqualitätsprüfungen
+
+Der Scraper führt folgende Prüfungen durch:
+
+* **Duplikaterkennung:** Identische Events werden entfernt
+* **Zeitformat-Validierung:** Korrekte `HH:MM` Formatierung
+* **Datumsbereichsprüfung:** Extrahierte Events liegen im Zielzeitraum
+* **Vollständigkeitscheck:** Kritische Felder müssen vorhanden sein
+* **Beschreibungsabdeckung:** Prüft, ob Beschreibungen für Events vorhanden sind
+* **Länder-/Monatsverteilung:** Statistische Auswertung
+
+---
+
+## 📤 Ausgabeformate
+
+**Hauptexport**
+
+* `economic_events_YYYYMMDD_HHMMSS_combined.json` — Vollständiger Datensatz
+
+**Chunk-Exporte**
+
+* `economic_events_YYYYMMDD_HHMMSS_chunk_X.json` — Zwischenstände pro Block
+
+### Beispiel-Eintrag (JSON)
+
+```json
+{
+  "country": "USA",
+  "date": "2024-01-15",
+  "time": "14:30",
+  "event": "Verbraucherpreisindex (CPI)",
+  "actual": "3.4%",
+  "forecast": "3.2%",
+  "previous": "3.1%",
+  "importance": "High",
+  "description": "Monatliche Inflationsdaten für die USA"
+}
+```
+
+---
+
+## 🛡️ Fehlerbehandlung
+
+* **Automatische Wiederholung:** Bei fehlgeschlagenen Extraktionen
+* **Graceful Degradation:** Fallback-Logiken für Datumsparsing
+* **Timeout-Management:** Angemessene Wartezeiten zwischen Interaktionen
+* **Ressourcenbereinigung:** Korrektes Schließen von Browser und Treiber
+
+---
+
+## 📊 Leistungsmerkmale
+
+* **Parallelverarbeitung:** Asynchrone Operationen mit Tokio
+* **Speichereffizienz:** Chunk-basierte Verarbeitung großer Datensätze
+* **Netzwerkoptimierung:** Intelligente Delays zwischen Requests
+* **Robustheit:** Widerstandsfähig gegen Seitenänderungen
+
+---
+
+## 🔧 Entwicklung
+
+**Abhängigkeiten hinzufügen**
+
+```bash
+cargo add <crate-name>
+```
+
+**Debug-Modus**
+
+```bash
+cargo run
+```
+
+**Release-Build**
+
+```bash
+cargo build --release
+```
+
+**Tests ausführen**
+
+```bash
+cargo test
+```
+
+---
+
+## 🌐 Länderabdeckung
+
+Der Scraper unterstützt 52 Länder und Regionen (siehe `countries.json`), darunter:
+
+* USA, China, Deutschland, Japan, UK
+* Eurozone, Schweiz, Kanada, Australien
+* und viele weitere wichtige Volkswirtschaften
+
+---
+
+## chromedriver Download
 
 https://chromedriver.storage.googleapis.com/index.html
 https://googlechromelabs.github.io/chrome-for-testing/

chromedriver-win64/LICENSE.chromedriver

@@ -0,0 +1,27 @@
+// Copyright 2015 The Chromium Authors
+//
+// Redistribution and use in source and binary forms, with or without
+// modification, are permitted provided that the following conditions are
+// met:
+//
+//    * Redistributions of source code must retain the above copyright
+// notice, this list of conditions and the following disclaimer.
+//    * Redistributions in binary form must reproduce the above
+// copyright notice, this list of conditions and the following disclaimer
+// in the documentation and/or other materials provided with the
+// distribution.
+//    * Neither the name of Google LLC nor the names of its
+// contributors may be used to endorse or promote products derived from
+// this software without specific prior written permission.
+//
+// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

fx_rates.json

@@ -0,0 +1,46 @@
+{
+  "CHF": [
+    0.808996035919424,
+    "2025-11-25"
+  ],
+  "JPY": [
+    0.0064,
+    "2025-11-25"
+  ],
+  "INR": [
+    89.28571428571429,
+    "2025-11-25"
+  ],
+  "GBp": [
+    0.7603406326034063,
+    "2025-11-25"
+  ],
+  "AUD": [
+    1.5463120457708364,
+    "2025-11-25"
+  ],
+  "SAR": [
+    3.750937734433609,
+    "2025-11-25"
+  ],
+  "TWD": [
+    31.446540880503143,
+    "2025-11-25"
+  ],
+  "CNY": [
+    7.087172218284904,
+    "2025-11-25"
+  ],
+  "HKD": [
+    7.776049766718508,
+    "2025-11-25"
+  ],
+  "CAD": [
+    1.4110342881332016,
+    "2025-11-25"
+  ],
+  "EUR": [
+    0.8649022660439372,
+    "2025-11-25"
+  ]
+}

src/config.rs

@@ -0,0 +1,30 @@
+// src/config.rs
+#[derive(Debug, Clone)]
+pub struct Config {
+    // Economic calendar start (usually the earliest available on finanzen.net)
+    pub economic_start_date: String,     // e.g. "2007-02-13"
+
+    // Corporate earnings & price history start
+    pub corporate_start_date: String,    // e.g. "2000-01-01" or "2010-01-01"
+
+    // How far into the future we scrape economic events
+    pub economic_lookahead_months: u32,  // default: 3
+}
+
+impl Default for Config {
+    fn default() -> Self {
+        Self {
+            economic_start_date: "2007-02-13".to_string(),
+            corporate_start_date: "2010-01-01".to_string(),
+            economic_lookahead_months: 3,
+        }
+    }
+}
+
+impl Config {
+    pub fn target_end_date(&self) -> String {
+        let now = chrono::Local::now().naive_local().date();
+        let future = now + chrono::Duration::days(30 * self.economic_lookahead_months as i64);
+        future.format("%Y-%m-%d").to_string()
+    }
+}

src/corporate/aggregation.rs

@@ -0,0 +1,194 @@
+// src/corporate/aggregation.rs
+use super::types::CompanyPrice;
+use super::storage::*;
+use tokio::fs;
+use std::collections::HashMap;
+
+#[derive(Debug)]
+struct DayData {
+    sources: Vec<(CompanyPrice, String)>, // (price, source_ticker)
+    total_volume: u64,
+    vwap: f64,
+    open: f64,
+    high: f64,
+    low: f64,
+    close: f64,
+}
+
+/// Aggregate price data from multiple exchanges, converting all to USD
+pub async fn aggregate_best_price_data(lei: &str) -> anyhow::Result<()> {
+    let company_dir = get_company_dir(lei);
+
+    for timeframe in ["daily", "5min"].iter() {
+        let source_dir = company_dir.join(timeframe);
+        if !source_dir.exists() {
+            continue;
+        }
+
+        let mut all_prices: Vec<(CompanyPrice, String)> = Vec::new();
+        let mut by_date_time: HashMap<String, DayData> = HashMap::new();
+
+        // Load all sources with their ticker names
+        let mut entries = tokio::fs::read_dir(&source_dir).await?;
+        let mut source_count = 0;
+        let mut sources_used = std::collections::HashSet::new();
+        
+        while let Some(entry) = entries.next_entry().await? {
+            let source_dir_path = entry.path();
+            if !source_dir_path.is_dir() { continue; }
+            
+            let source_ticker = source_dir_path
+                .file_name()
+                .and_then(|n| n.to_str())
+                .unwrap_or("unknown")
+                .to_string();
+            
+            let prices_path = source_dir_path.join("prices.json");
+            if !prices_path.exists() { continue; }
+
+            let content = tokio::fs::read_to_string(&prices_path).await?;
+            let mut prices: Vec<CompanyPrice> = serde_json::from_str(&content)?;
+            
+            if !prices.is_empty() {
+                sources_used.insert(source_ticker.clone());
+                source_count += 1;
+            }
+            
+            for price in prices {
+                all_prices.push((price, source_ticker.clone()));
+            }
+        }
+
+        if all_prices.is_empty() {
+            continue;
+        }
+
+        println!("    Aggregating from {} exchanges: {}", 
+            sources_used.len(),
+            sources_used.iter()
+                .map(|s| s.as_str())
+                .collect::<Vec<_>>()
+                .join(", ")
+        );
+
+        // Group by date + time (for 5min) or just date
+        for (p, source) in all_prices {
+            let key = if timeframe == &"5min" && !p.time.is_empty() {
+                format!("{}_{}", p.date, p.time)
+            } else {
+                p.date.clone()
+            };
+
+            // Convert to USD immediately
+            let usd_rate = super::fx::get_usd_rate(&p.currency).await.unwrap_or(1.0);
+            
+            let mut p_usd = p.clone();
+            p_usd.open *= usd_rate;
+            p_usd.high *= usd_rate;
+            p_usd.low *= usd_rate;
+            p_usd.close *= usd_rate;
+            p_usd.adj_close *= usd_rate;
+            p_usd.currency = "USD".to_string();
+
+            let entry = by_date_time.entry(key.clone()).or_insert(DayData {
+                sources: vec![],
+                total_volume: 0,
+                vwap: 0.0,
+                open: p_usd.open,
+                high: p_usd.high,
+                low: p_usd.low,
+                close: p_usd.close,
+            });
+
+            let volume = p.volume.max(1); // avoid div0
+            let vwap_contrib = p_usd.close * volume as f64;
+
+            entry.sources.push((p_usd.clone(), source));
+            entry.total_volume += volume;
+            entry.vwap += vwap_contrib;
+
+            // Use first open, last close, max high, min low
+            if entry.sources.len() == 1 {
+                entry.open = p_usd.open;
+            }
+            entry.close = p_usd.close;
+            entry.high = entry.high.max(p_usd.high);
+            entry.low = entry.low.min(p_usd.low);
+        }
+
+        // Finalize aggregated data
+        let mut aggregated: Vec<CompanyPrice> = Vec::new();
+
+        for (key, data) in by_date_time {
+            let vwap = data.vwap / data.total_volume as f64;
+
+            let (date, time) = if key.contains('_') {
+                let parts: Vec<&str> = key.split('_').collect();
+                (parts[0].to_string(), parts[1].to_string())
+            } else {
+                (key, "".to_string())
+            };
+
+            // Track which exchange contributed most volume
+            let best_source = data.sources.iter()
+                .max_by_key(|(p, _)| p.volume)
+                .map(|(_, src)| src.clone())
+                .unwrap_or_else(|| "unknown".to_string());
+
+            aggregated.push(CompanyPrice {
+                ticker: format!("{lei}@agg"), // Mark as aggregated
+                date,
+                time,
+                open: data.open,
+                high: data.high,
+                low: data.low,
+                close: data.close,
+                adj_close: vwap,
+                volume: data.total_volume,
+                currency: "USD".to_string(),
+            });
+        }
+
+        aggregated.sort_by_key(|p| (p.date.clone(), p.time.clone()));
+
+        // Save aggregated result
+        let agg_dir = company_dir.join("aggregated").join(timeframe);
+        fs::create_dir_all(&agg_dir).await?;
+        let path = agg_dir.join("prices.json");
+        fs::write(&path, serde_json::to_string_pretty(&aggregated)?).await?;
+        
+        // Save aggregation metadata
+        let meta = AggregationMetadata {
+            lei: lei.to_string(),  // ← CHANGE THIS
+            timeframe: timeframe.to_string(),
+            sources: sources_used.into_iter().collect(),
+            total_bars: aggregated.len(),
+            date_range: (
+                aggregated.first().map(|p| p.date.clone()).unwrap_or_default(),
+                aggregated.last().map(|p| p.date.clone()).unwrap_or_default(),
+            ),
+            aggregated_at: chrono::Local::now().format("%Y-%m-%d %H:%M:%S").to_string(),
+        };
+                
+        let meta_path = agg_dir.join("metadata.json");
+        fs::write(&meta_path, serde_json::to_string_pretty(&meta)?).await?;
+        
+        println!("    ✓ {} {} bars from {} sources (USD)", 
+            aggregated.len(), 
+            timeframe,
+            source_count
+        );
+    }
+
+    Ok(())
+}
+
+#[derive(Debug, serde::Serialize, serde::Deserialize)]
+struct AggregationMetadata {
+    lei: String,
+    timeframe: String,
+    sources: Vec<String>,
+    total_bars: usize,
+    date_range: (String, String),
+    aggregated_at: String,
+}

src/corporate/fx.rs

@@ -0,0 +1,51 @@
+// src/corporate/fx.rs
+use std::collections::HashMap;
+use reqwest;
+use serde_json::Value;
+use tokio::fs;
+use std::path::Path;
+
+static FX_CACHE_PATH: &str = "fx_rates.json";
+
+pub async fn get_usd_rate(currency: &str) -> anyhow::Result<f64> {
+    if currency == "USD" {
+        return Ok(1.0);
+    }
+
+    let mut cache: HashMap<String, (f64, String)> = if Path::new(FX_CACHE_PATH).exists() {
+        let content = fs::read_to_string(FX_CACHE_PATH).await?;
+        serde_json::from_str(&content).unwrap_or_default()
+    } else {
+        HashMap::new()
+    };
+
+    let today = chrono::Local::now().format("%Y-%m-%d").to_string();
+    if let Some((rate, date)) = cache.get(currency) {
+        if date == &today {
+            return Ok(*rate);
+        }
+    }
+
+    let symbol = format!("{}USD=X", currency);
+    let url = format!("https://query1.finance.yahoo.com/v8/finance/chart/{}?range=1d&interval=1d", symbol);
+
+    let json: Value = reqwest::Client::new()
+        .get(&url)
+        .header("User-Agent", "Mozilla/5.0")
+        .send()
+        .await?
+        .json()
+        .await?;
+
+    let close = json["chart"]["result"][0]["meta"]["regularMarketPrice"]
+        .as_f64()
+        .or_else(|| json["chart"]["result"][0]["indicators"]["quote"][0]["close"][0].as_f64())
+        .unwrap_or(1.0);
+
+    let rate = if currency == "JPY" || currency == "KRW" { close } else { 1.0 / close }; // inverse pairs
+
+    cache.insert(currency.to_string(), (rate, today.clone()));
+    let _ = fs::write(FX_CACHE_PATH, serde_json::to_string_pretty(&cache)?).await;
+
+    Ok(rate)
+}

src/corporate/helpers.rs

@@ -0,0 +1,70 @@
+// src/corporate/helpers.rs
+use super::types::*;
+use chrono::{Local, NaiveDate};
+use std::collections::{HashMap, HashSet};
+
+pub fn event_key(e: &CompanyEvent) -> String {
+    format!("{}|{}|{}", e.ticker, e.date, e.time)
+}
+
+pub fn detect_changes(old: &CompanyEvent, new: &CompanyEvent, today: &str) -> Vec<CompanyEventChange> {
+    let mut changes = Vec::new();
+    let ts = Local::now().format("%Y-%m-%d %H:%M:%S").to_string();
+
+    if new.date.as_str() <= today { return changes; }
+
+    if old.time != new.time {
+        changes.push(CompanyEventChange {
+            ticker: new.ticker.clone(),
+            date: new.date.clone(),
+            field_changed: "time".to_string(),
+            old_value: old.time.clone(),
+            new_value: new.time.clone(),
+            detected_at: ts.clone(),
+        });
+    }
+
+    if old.eps_forecast != new.eps_forecast {
+        changes.push(CompanyEventChange {
+            ticker: new.ticker.clone(),
+            date: new.date.clone(),
+            field_changed: "eps_forecast".to_string(),
+            old_value: format!("{:?}", old.eps_forecast),
+            new_value: format!("{:?}", new.eps_forecast),
+            detected_at: ts.clone(),
+        });
+    }
+
+    if old.eps_actual != new.eps_actual {
+        changes.push(CompanyEventChange {
+            ticker: new.ticker.clone(),
+            date: new.date.clone(),
+            field_changed: "eps_actual".to_string(),
+            old_value: format!("{:?}", old.eps_actual),
+            new_value: format!("{:?}", new.eps_actual),
+            detected_at: ts.clone(),
+        });
+    }
+
+    // Add similar for revenue if applicable
+
+    changes
+}
+
+pub fn price_key(p: &CompanyPrice) -> String {
+    if p.time.is_empty() {
+        format!("{}|{}", p.ticker, p.date)
+    } else {
+        format!("{}|{}|{}", p.ticker, p.date, p.time)
+    }
+}
+
+pub fn parse_float(s: &str) -> Option<f64> {
+    s.replace("--", "").replace(",", "").parse::<f64>().ok()
+}
+
+pub fn parse_yahoo_date(s: &str) -> anyhow::Result<NaiveDate> {
+    NaiveDate::parse_from_str(s, "%B %d, %Y")
+        .or_else(|_| NaiveDate::parse_from_str(s, "%b %d, %Y"))
+        .map_err(|_| anyhow::anyhow!("Bad date: {s}"))
+}

src/corporate/mod.rs

@@ -0,0 +1,12 @@
+// src/corporate/mod.rs
+pub mod types;
+pub mod scraper;
+pub mod storage;
+pub mod update;
+pub mod helpers;
+pub mod aggregation;
+pub mod fx;
+pub mod openfigi;
+
+pub use types::*;
+pub use update::run_full_update;

src/corporate/openfigi.rs

@@ -0,0 +1,172 @@
+// src/corporate/openfigi.rs
+use super::{types::*};
+use reqwest::Client as HttpClient;
+use reqwest::header::{HeaderMap, HeaderValue};
+use serde_json::{json, Value};
+use std::collections::{HashMap, HashSet};
+use tokio::time::{sleep, Duration};
+use anyhow::Context;
+
+#[derive(Clone)]
+pub struct OpenFigiClient {
+    client: HttpClient,
+    api_key: Option<String>,
+    has_key: bool,
+}
+
+impl OpenFigiClient {
+    pub fn new() -> anyhow::Result<Self> {
+        let api_key = dotenvy::var("OPENFIGI_API_KEY").ok();
+        let has_key = api_key.is_some();
+
+        let mut builder = HttpClient::builder()
+            .user_agent("Mozilla/5.0 (compatible; OpenFIGI-Rust/1.0)")
+            .timeout(Duration::from_secs(30));
+
+        if let Some(key) = &api_key {
+            let mut headers = HeaderMap::new();
+            headers.insert("X-OPENFIGI-APIKEY", HeaderValue::from_str(key)?);
+            builder = builder.default_headers(headers);
+        }
+
+        let client = builder.build().context("Failed to build HTTP client")?;
+
+        println!(
+            "OpenFIGI client initialized: {}",
+            if has_key { "with API key" } else { "no key (limited mode)" }
+        );
+
+        Ok(Self { client, api_key, has_key })
+    }
+
+    /// Batch-map ISINs to FIGI, filtering equities only
+    pub async fn map_isins_to_figi(&self, isins: &[String]) -> anyhow::Result<Vec<String>> {
+        if isins.is_empty() { return Ok(vec![]); }
+
+        let mut all_figis = Vec::new();
+        let chunk_size = if self.has_key { 100 } else { 5 };
+
+        for chunk in isins.chunks(chunk_size) {
+            let jobs: Vec<Value> = chunk.iter()
+                .map(|isin| json!({
+                    "idType": "ID_ISIN",
+                    "idValue": isin,
+                    "marketSecDes": "Equity",  // Pre-filter to equities
+                }))
+                .collect();
+
+            let resp = self.client
+                .post("https://api.openfigi.com/v3/mapping")
+                .header("Content-Type", "application/json")
+                .json(&jobs)
+                .send()
+                .await?;
+
+            let status = resp.status();
+            let headers = resp.headers().clone();
+            let body = resp.text().await.unwrap_or_default();
+
+            if status.is_client_error() || status.is_server_error() {
+                if status == 401 {
+                    return Err(anyhow::anyhow!("Invalid OpenFIGI API key: {}", body));
+                } else if status == 413 {
+                    return Err(anyhow::anyhow!("Payload too large—reduce chunk size: {}", body));
+                } else if status == 429 {
+                    let reset = headers
+                        .get("ratelimit-reset")
+                        .and_then(|v| v.to_str().ok())
+                        .unwrap_or("10")
+                        .parse::<u64>()
+                        .unwrap_or(10);
+
+                    println!("Rate limited—backing off {}s", reset);
+                    sleep(Duration::from_secs(reset.max(10))).await;
+                    continue;
+                }
+
+                return Err(anyhow::anyhow!("OpenFIGI error {}: {}", status, body));
+            }
+
+            // JSON aus dem *Body-String* parsen
+            let results: Vec<Value> = serde_json::from_str(&body)?;
+            for (job, result) in chunk.iter().zip(results) {
+                if let Some(data) = result["data"].as_array() {
+                    for item in data {
+                        let sec_type = item["securityType"].as_str().unwrap_or("");
+                        let market_sec = item["marketSector"].as_str().unwrap_or("");
+                        if market_sec == "Equity" &&
+                           (sec_type.contains("Stock") || sec_type.contains("Share") || sec_type.contains("Equity") ||
+                            sec_type.contains("Common") || sec_type.contains("Preferred") || sec_type == "ADR" || sec_type == "GDR") {
+                            if let Some(figi) = item["figi"].as_str() {
+                                all_figis.push(figi.to_string());
+                            }
+                        }
+                    }
+                }
+            }
+
+            // Rate limit respect: 6s between requests with key
+            if self.has_key {
+                sleep(Duration::from_secs(6)).await;
+            } else {
+                sleep(Duration::from_millis(500)).await;  // Slower without key
+            }
+        }
+
+        all_figis.dedup();  // Unique FIGIs per LEI
+        Ok(all_figis)
+    }
+}
+
+/// Build FIGI → LEI map from CSV, filtering equities via OpenFIGI
+pub async fn build_figi_to_lei_map(lei_to_isins: &HashMap<String, Vec<String>>) -> anyhow::Result<HashMap<String, String>> {
+    let client = OpenFigiClient::new()?;
+    if !client.has_key {
+        println!("No API key—skipping FIGI mapping (using empty map)");
+        return Ok(HashMap::new());
+    }
+
+    let mut figi_to_lei: HashMap<String, String> = HashMap::new();
+    let mut processed = 0;
+
+    for (lei, isins) in lei_to_isins {
+        let unique_isins: Vec<_> = isins.iter().cloned().collect::<HashSet<_>>().into_iter().collect();
+        let equity_figis = client.map_isins_to_figi(&unique_isins).await?;
+
+        for figi in equity_figis {
+            figi_to_lei.insert(figi, lei.clone());
+        }
+
+        processed += 1;
+        if processed % 100 == 0 {
+            println!("Processed {} LEIs → {} total equity FIGIs", processed, figi_to_lei.len());
+        }
+
+        // Throttle per-LEI (heavy LEIs have 100s of ISINs)
+        sleep(Duration::from_millis(100)).await;
+    }
+
+    // Save full map
+    let data_dir = std::path::Path::new("data");
+    tokio::fs::create_dir_all(data_dir).await?;
+    tokio::fs::write("data/figi_to_lei.json", serde_json::to_string_pretty(&figi_to_lei)?).await?;
+
+    println!("Built FIGI→LEI map: {} mappings (equity-only)", figi_to_lei.len());
+    Ok(figi_to_lei)
+}
+
+/// Load/build companies using FIGI as key (enriched with LEI via map)
+pub async fn load_or_build_companies_figi(
+    lei_to_isins: &HashMap<String, Vec<String>>,
+    figi_to_lei: &HashMap<String, String>,
+) -> anyhow::Result<Vec<CompanyMetadata>> {
+    let data_dir = std::path::Path::new("data/companies_by_figi");
+    tokio::fs::create_dir_all(data_dir).await?;
+
+    let mut companies = Vec::new();
+
+
+
+    println!("Built {} FIGI-keyed companies.", companies.len());
+    Ok(companies)
+}

src/corporate/scraper.rs

@@ -0,0 +1,691 @@
+// src/corporate/scraper.rs
+use super::{types::*, helpers::*};
+use csv::ReaderBuilder;
+use fantoccini::{Client, Locator};
+use scraper::{Html, Selector};
+use chrono::{DateTime, Duration, NaiveDate, Timelike, Utc};
+use tokio::{time::{Duration as TokioDuration, sleep}};
+use reqwest::Client as HttpClient;
+use serde_json::Value;
+use zip::ZipArchive;
+use std::fs::File;
+use std::{collections::HashMap};
+use std::io::{Read, BufReader};
+
+const USER_AGENT: &str = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36";
+
+/// Discover all exchanges where this ISIN trades by querying Yahoo Finance
+pub async fn discover_available_exchanges(isin: &str, known_ticker: &str) -> anyhow::Result<Vec<TickerInfo>> {
+    println!("    Discovering exchanges for ISIN {}", isin);
+    
+    let mut discovered_tickers = Vec::new();
+    
+    // Try the primary ticker first
+    if let Ok(info) = check_ticker_exists(known_ticker).await {
+        discovered_tickers.push(info);
+    }
+    
+    // Search for ISIN directly on Yahoo to find other listings
+    let search_url = format!(
+        "https://query2.finance.yahoo.com/v1/finance/search?q={}&quotesCount=20&newsCount=0",
+        isin
+    );
+    
+    match HttpClient::new()
+        .get(&search_url)
+        .header("User-Agent", USER_AGENT)
+        .send()
+        .await
+    {
+        Ok(resp) => {
+            if let Ok(json) = resp.json::<Value>().await {
+                if let Some(quotes) = json["quotes"].as_array() {
+                    for quote in quotes {
+                        // First: filter by quoteType directly from search results (faster rejection)
+                        let quote_type = quote["quoteType"].as_str().unwrap_or("");
+                        if quote_type.to_uppercase() != "EQUITY" {
+                            continue; // Skip bonds, ETFs, mutual funds, options, etc.
+                        }
+
+                        if let Some(symbol) = quote["symbol"].as_str() {
+                            // Avoid duplicates
+                            if discovered_tickers.iter().any(|t: &TickerInfo| t.ticker == symbol) {
+                                continue;
+                            }
+
+                            // Double-check with full quote data (some search results are misleading)
+                            match check_ticker_exists(symbol).await {
+                                Ok(info) => {
+                                    println!("      Found equity listing: {} on {} ({})", 
+                                        symbol, info.exchange_mic, info.currency);
+                                    discovered_tickers.push(info);
+                                }
+                                Err(e) => {
+                                    // Most common: it's not actually equity or not tradable
+                                    // println!("      Rejected {}: {}", symbol, e);
+                                    continue;
+                                }
+                            }
+
+                            // Be respectful to Yahoo
+                            sleep(TokioDuration::from_millis(120)).await;
+                        }
+                    }
+                }
+            }
+        }
+        Err(e) => println!("    Search API error: {}", e),
+    }
+    
+    // Also try common exchange suffixes for the base ticker
+    if let Some(base) = known_ticker.split('.').next() {
+        let suffixes = vec![
+            "",      // US
+            ".L",    // London
+            ".DE",   // Frankfurt/XETRA
+            ".PA",   // Paris
+            ".AS",   // Amsterdam
+            ".MI",   // Milan
+            ".SW",   // Switzerland
+            ".T",    // Tokyo
+            ".HK",   // Hong Kong
+            ".SS",   // Shanghai
+            ".SZ",   // Shenzhen
+            ".TO",   // Toronto
+            ".AX",   // Australia
+            ".SA",   // Brazil
+            ".MC",   // Madrid
+            ".BO",   // Bombay
+            ".NS",   // National Stock Exchange India
+        ];
+        
+        for suffix in suffixes {
+            let test_ticker = format!("{}{}", base, suffix);
+            
+            // Skip if already found
+            if discovered_tickers.iter().any(|t| t.ticker == test_ticker) {
+                continue;
+            }
+            
+            if let Ok(info) = check_ticker_exists(&test_ticker).await {
+                discovered_tickers.push(info);
+                sleep(TokioDuration::from_millis(100)).await;
+            }
+        }
+    }
+    
+    println!("    Found {} tradable exchanges", discovered_tickers.len());
+    Ok(discovered_tickers)
+}
+
+/// Check if a ticker exists and get its exchange/currency info
+async fn check_ticker_exists(ticker: &str) -> anyhow::Result<TickerInfo> {
+    let url = format!(
+        "https://query1.finance.yahoo.com/v10/finance/quoteSummary/{}?modules=price",
+        ticker
+    );
+
+    let resp = HttpClient::new()
+        .get(&url)
+        .header("User-Agent", USER_AGENT)
+        .send()
+        .await?;
+
+    let json: Value = resp.json().await?;
+
+    if let Some(result) = json["quoteSummary"]["result"].as_array() {
+        if result.is_empty() {
+            return Err(anyhow::anyhow!("No quote data for {}", ticker));
+        }
+
+        let quote = &result[0]["price"];
+
+        // CRITICAL: Only accept EQUITY securities
+        let quote_type = quote["quoteType"]
+            .as_str()
+            .unwrap_or("")
+            .to_uppercase();
+
+        if quote_type != "EQUITY" {
+            // Optional: debug what was filtered
+            println!("      → Skipping {} (quoteType: {})", ticker, quote_type);
+            return Err(anyhow::anyhow!("Not an equity: {}", quote_type));
+        }
+
+        let exchange = quote["exchange"].as_str().unwrap_or("");
+        let currency = quote["currency"].as_str().unwrap_or("USD");
+        let short_name = quote["shortName"].as_str().unwrap_or("");
+
+        // Optional: extra sanity — make sure it's not a bond masquerading as equity
+        if short_name.to_uppercase().contains("BOND") ||
+           short_name.to_uppercase().contains("NOTE") ||
+           short_name.to_uppercase().contains("DEBENTURE") {
+            return Err(anyhow::anyhow!("Name suggests debt security"));
+        }
+
+        if !exchange.is_empty() {
+            return Ok(TickerInfo {
+                ticker: ticker.to_string(),
+                exchange_mic: exchange.to_string(),
+                currency: currency.to_string(),
+                primary: false,
+            });
+        }
+    }
+
+    Err(anyhow::anyhow!("Invalid or missing data for {}", ticker))
+}
+
+/// Convert Yahoo's exchange name to MIC code (best effort)
+fn exchange_name_to_mic(name: &str) -> String {
+    match name {
+        "NMS" | "NasdaqGS" | "NASDAQ" => "XNAS",
+        "NYQ" | "NYSE" => "XNYS",
+        "LSE" | "London" => "XLON",
+        "FRA" | "Frankfurt" | "GER" | "XETRA" => "XFRA",
+        "PAR" | "Paris" => "XPAR",
+        "AMS" | "Amsterdam" => "XAMS",
+        "MIL" | "Milan" => "XMIL",
+        "JPX" | "Tokyo" => "XJPX",
+        "HKG" | "Hong Kong" => "XHKG",
+        "SHH" | "Shanghai" => "XSHG",
+        "SHZ" | "Shenzhen" => "XSHE",
+        "TOR" | "Toronto" => "XTSE",
+        "ASX" | "Australia" => "XASX",
+        "SAU" | "Saudi" => "XSAU",
+        "SWX" | "Switzerland" => "XSWX",
+        "BSE" | "Bombay" => "XBSE",
+        "NSE" | "NSI" => "XNSE",
+        "TAI" | "Taiwan" => "XTAI",
+        "SAO" | "Sao Paulo" => "BVMF",
+        "MCE" | "Madrid" => "XMAD",
+        _ => name, // Fallback to name itself
+    }.to_string()
+}
+
+pub async fn dismiss_yahoo_consent(client: &Client) -> anyhow::Result<()> {
+    let script = r#"
+    (() => {
+        const agree = document.querySelector('button[name="agree"]');
+        if (agree) {
+            agree.click();
+            return true;
+        }
+        return false;
+    })()
+    "#;
+
+    for _ in 0..10 {
+        let done: bool = client.execute(script, vec![]).await?.as_bool().unwrap_or(false);
+        if done {
+            break;
+        }
+        sleep(TokioDuration::from_millis(500)).await;
+    }
+    Ok(())
+}
+
+pub async fn fetch_earnings_history(client: &Client, ticker: &str) -> anyhow::Result<Vec<CompanyEvent>> {
+    let url = format!("https://finance.yahoo.com/calendar/earnings?symbol={}&offset=0&size=100", ticker);
+    client.goto(&url).await?;
+    dismiss_yahoo_consent(client).await?;
+
+    loop {
+        match client.find(Locator::XPath(r#"//button[contains(text(), 'Show More')]"#)).await {
+            Ok(btn) => {
+                btn.click().await?;
+                sleep(TokioDuration::from_secs(2)).await;
+            }
+            Err(_) => break,
+        }
+    }
+
+    let html = client.source().await?;
+    let document = Html::parse_document(&html);
+    let row_sel = Selector::parse("table tbody tr").unwrap();
+    let mut events = Vec::new();
+
+    for row in document.select(&row_sel) {
+        let cols: Vec<String> = row.select(&Selector::parse("td").unwrap())
+            .map(|td| td.text().collect::<Vec<_>>().join(" ").trim().to_string())
+            .collect();
+        if cols.len() < 6 { continue; }
+
+        let full_date = &cols[2];
+        let parts: Vec<&str> = full_date.split(" at ").collect();
+        let raw_date = parts[0].trim();
+        let time_str = if parts.len() > 1 { parts[1].trim() } else { "" };
+
+        let date = match parse_yahoo_date(raw_date) {
+            Ok(d) => d,
+            Err(_) => continue,
+        };
+
+        let eps_forecast = parse_float(&cols[3]);
+        let eps_actual = if cols[4] == "-" { None } else { parse_float(&cols[4]) };
+
+        let surprise_pct = if let (Some(f), Some(a)) = (eps_forecast, eps_actual) {
+            if f.abs() > 0.001 { Some((a - f) / f.abs() * 100.0) } else { None }
+        } else { None };
+
+        let time = if time_str.contains("PM") {
+            "AMC".to_string()
+        } else if time_str.contains("AM") {
+            "BMO".to_string()
+        } else {
+            "".to_string()
+        };
+
+        events.push(CompanyEvent {
+            ticker: ticker.to_string(),
+            date: date.format("%Y-%m-%d").to_string(),
+            time,
+            period: "".to_string(),
+            eps_forecast,
+            eps_actual,
+            revenue_forecast: None,
+            revenue_actual: None,
+            surprise_pct,
+            source: "Yahoo".to_string(),
+        });
+    }
+
+    Ok(events)
+}
+
+fn parse_price(v: Option<&Value>) -> f64 {
+    v.and_then(|x| x.as_str())
+        .and_then(|s| s.replace('$', "").replace(',', "").parse::<f64>().ok())
+        .or_else(|| v.and_then(|x| x.as_f64()))
+        .unwrap_or(0.0)
+}
+
+fn parse_volume(v: Option<&Value>) -> u64 {
+    v.and_then(|x| x.as_str())
+        .and_then(|s| s.replace(',', "").parse::<u64>().ok())
+        .or_else(|| v.and_then(|x| x.as_u64()))
+        .unwrap_or(0)
+}
+
+pub async fn fetch_daily_price_history(
+    ticker: &str,
+    start_str: &str,
+    end_str: &str,
+) -> anyhow::Result<Vec<CompanyPrice>> {
+    let start = NaiveDate::parse_from_str(start_str, "%Y-%m-%d")?;
+    let end   = NaiveDate::parse_from_str(end_str, "%Y-%m-%d")? + Duration::days(1);
+
+    let mut all_prices = Vec::new();
+    let mut current = start;
+
+    while current < end {
+        let chunk_end = current + Duration::days(730);
+        let actual_end = chunk_end.min(end);
+
+        let period1 = current.and_hms_opt(0, 0, 0).unwrap().and_utc().timestamp();
+        let period2 = actual_end.and_hms_opt(0, 0, 0).unwrap().and_utc().timestamp();
+
+        println!("    Fetching {ticker} {} → {}", current, actual_end - Duration::days(1));
+
+        let url = format!(
+            "https://query1.finance.yahoo.com/v8/finance/chart/{ticker}?period1={period1}&period2={period2}&interval=1d&includeAdjustedClose=true"
+        );
+
+        let json: Value = HttpClient::new()
+            .get(&url)
+            .header("User-Agent", USER_AGENT)
+            .send()
+            .await?
+            .json()
+            .await?;
+
+        let result = &json["chart"]["result"][0];
+        let timestamps = result["timestamp"].as_array().ok_or_else(|| anyhow::anyhow!("No timestamps"))?;
+        let quote = &result["indicators"]["quote"][0];
+        let meta = &result["meta"];
+        let currency = meta["currency"].as_str().unwrap_or("USD").to_string();
+
+        let opens = quote["open"].as_array();
+        let highs = quote["high"].as_array();
+        let lows  = quote["low"].as_array();
+        let closes = quote["close"].as_array();
+        let adj_closes = result["indicators"]["adjclose"][0]["adjclose"].as_array()
+            .or_else(|| closes);
+        let volumes = quote["volume"].as_array();
+
+        for (i, ts_val) in timestamps.iter().enumerate() {
+            let ts = ts_val.as_i64().unwrap_or(0);
+            let dt: DateTime<Utc> = DateTime::from_timestamp(ts, 0).unwrap_or_default();
+            let date_str = dt.format("%Y-%m-%d").to_string();
+
+            if date_str < start_str.to_string() || date_str > end_str.to_string() {
+                continue;
+            }
+
+            let open = parse_price(opens.and_then(|a| a.get(i)));
+            let high = parse_price(highs.and_then(|a| a.get(i)));
+            let low  = parse_price(lows.and_then(|a| a.get(i)));
+            let close = parse_price(closes.and_then(|a| a.get(i)));
+            let adj_close = parse_price(adj_closes.and_then(|a| a.get(i)));
+            let volume = parse_volume(volumes.and_then(|a| a.get(i)));
+
+            all_prices.push(CompanyPrice {
+                ticker: ticker.to_string(),
+                date: date_str,
+                time: "".to_string(),
+                open,
+                high,
+                low,
+                close,
+                adj_close,
+                volume,
+                currency: currency.clone(),
+            });
+        }
+
+        sleep(TokioDuration::from_millis(200)).await;
+        current = actual_end;
+    }
+
+    all_prices.sort_by_key(|p| (p.date.clone(), p.time.clone()));
+    all_prices.dedup_by(|a, b| a.date == b.date && a.time == b.time);
+
+    println!("    Got {} daily bars for {ticker}", all_prices.len());
+    Ok(all_prices)
+}
+
+pub async fn fetch_price_history_5min(
+    ticker: &str,
+    _start: &str,
+    _end: &str,
+) -> anyhow::Result<Vec<CompanyPrice>> {
+    let now = Utc::now().timestamp();
+    let period1 = now - 5184000;
+    let period2 = now;
+
+    let url = format!(
+        "https://query1.finance.yahoo.com/v8/finance/chart/{ticker}?period1={period1}&period2={period2}&interval=5m&includeAdjustedClose=true"
+    );
+
+    let json: Value = HttpClient::new()
+        .get(&url)
+        .header("User-Agent", USER_AGENT)
+        .send()
+        .await?
+        .json()
+        .await?;
+
+    let result = &json["chart"]["result"][0];
+    let timestamps = result["timestamp"].as_array().ok_or_else(|| anyhow::anyhow!("No timestamps"))?;
+    let quote = &result["indicators"]["quote"][0];
+    let meta = &result["meta"];
+    let currency = meta["currency"].as_str().unwrap_or("USD").to_string();
+
+    let mut prices = Vec::new();
+
+    for (i, ts_val) in timestamps.iter().enumerate() {
+        let ts = ts_val.as_i64().unwrap_or(0);
+        let dt: DateTime<Utc> = DateTime::from_timestamp(ts, 0).unwrap_or_default();
+        let date_str = dt.format("%Y-%m-%d").to_string();
+        let time_str = dt.format("%H:%M:%S").to_string();
+
+        let open = parse_price(quote["open"].as_array().and_then(|a| a.get(i)));
+        let high = parse_price(quote["high"].as_array().and_then(|a| a.get(i)));
+        let low  = parse_price(quote["low"].as_array().and_then(|a| a.get(i)));
+        let close = parse_price(quote["close"].as_array().and_then(|a| a.get(i)));
+        let volume = parse_volume(quote["volume"].as_array().and_then(|a| a.get(i)));
+
+        prices.push(CompanyPrice {
+            ticker: ticker.to_string(),
+            date: date_str,
+            time: time_str,
+            open,
+            high,
+            low,
+            close,
+            adj_close: close,
+            volume,
+            currency: currency.clone(),
+        });
+    }
+
+    prices.sort_by_key(|p| (p.date.clone(), p.time.clone()));
+    Ok(prices)
+}
+
+/// Fetch the URL of the latest ISIN↔LEI mapping CSV from GLEIF
+/// Overengineered; we could just use the static URL, but this shows how to scrape if needed
+pub async fn _fetch_latest_gleif_isin_lei_mapping_url(client: &Client) -> anyhow::Result<String> {
+    let url = format!("https://www.gleif.org/de/lei-data/lei-mapping/download-isin-to-lei-relationship-files");
+    client.goto(&url).await?;
+
+    let html = client.source().await?;
+    let _document = Html::parse_document(&html);
+    let _row_sel = Selector::parse("table tbody tr").unwrap();
+    let isin_lei = "".to_string();
+
+    Ok(isin_lei)
+}
+
+pub async fn download_isin_lei_csv() -> anyhow::Result<Option<String>> {
+    let url = "https://mapping.gleif.org/api/v2/isin-lei/9315e3e3-305a-4e71-b062-46714740fa8d/download";
+    let zip_path = "data/isin_lei.zip";
+    let csv_path = "data/isin_lei.csv";
+
+    if let Err(e) = std::fs::create_dir_all("data") {
+        println!("Failed to create data directory: {e}");
+        return Ok(None);
+    }
+
+    // Download ZIP
+    let bytes = match reqwest::Client::builder()
+        .user_agent(USER_AGENT)
+        .timeout(std::time::Duration::from_secs(30))
+        .build()
+        .and_then(|c| Ok(c))
+    {
+        Ok(client) => match client.get(url).send().await {
+            Ok(resp) if resp.status().is_success() => match resp.bytes().await {
+                Ok(b) => b,
+                Err(e) => {
+                    println!("Failed to read ZIP bytes: {e}");
+                    return Ok(None);
+                }
+            },
+            Ok(resp) => {
+                println!("Server returned HTTP {}", resp.status());
+                return Ok(None);
+            }
+            Err(e) => {
+                println!("Failed to download ISIN/LEI ZIP: {e}");
+                return Ok(None);
+            }
+        },
+        Err(e) => {
+            println!("Failed to create HTTP client: {e}");
+            return Ok(None);
+        }
+    };
+
+    if let Err(e) = tokio::fs::write(zip_path, &bytes).await {
+        println!("Failed to write ZIP file: {e}");
+        return Ok(None);
+    }
+
+    // Extract CSV
+    let archive = match std::fs::File::open(zip_path)
+        .map(ZipArchive::new)
+    {
+        Ok(Ok(a)) => a,
+        Ok(Err(e)) => {
+            println!("Invalid ZIP: {e}");
+            return Ok(None);
+        }
+        Err(e) => {
+            println!("Cannot open ZIP file: {e}");
+            return Ok(None);
+        }
+    };
+
+    let mut archive = archive;
+
+    let idx = match (0..archive.len()).find(|&i| {
+        archive.by_index(i)
+            .map(|f| f.name().ends_with(".csv"))
+            .unwrap_or(false)
+    }) {
+        Some(i) => i,
+        None => {
+            println!("ZIP did not contain a CSV file");
+            return Ok(None);
+        }
+    };
+
+    let mut csv_file = match archive.by_index(idx) {
+        Ok(f) => f,
+        Err(e) => {
+            println!("Failed to read CSV entry: {e}");
+            return Ok(None);
+        }
+    };
+
+    let mut csv_bytes = Vec::new();
+    if let Err(e) = csv_file.read_to_end(&mut csv_bytes) {
+        println!("Failed to extract CSV: {e}");
+        return Ok(None);
+    }
+
+    if let Err(e) = tokio::fs::write(csv_path, &csv_bytes).await {
+        println!("Failed to save CSV file: {e}");
+        return Ok(None);
+    }
+
+    Ok(Some(csv_path.to_string()))
+}
+
+
+pub async fn load_isin_lei_csv() -> anyhow::Result<HashMap<String, Vec<String>>> {
+    // 1. Download + extract the CSV (this is now async)
+    let csv_path = match download_isin_lei_csv().await? {
+        Some(p) => p,
+        None => {
+            println!("ISIN/LEI download failed; continuing with empty map");
+            return Ok(HashMap::new());
+        }
+    };
+
+    // 2. Open and parse the CSV synchronously (fast enough, ~8M lines is fine)
+    let file = match std::fs::File::open(&csv_path) {
+        Ok(f) => f,
+        Err(e) => {
+            println!("Cannot open CSV '{}': {}", csv_path, e);
+            return Ok(HashMap::new());
+        }
+    };
+
+    let mut rdr = csv::ReaderBuilder::new()
+        .has_headers(false)
+        .from_reader(std::io::BufReader::new(file));
+
+    let mut map: HashMap<String, Vec<String>> = HashMap::new();
+
+    for result in rdr.records() {
+        let record = match result {
+            Ok(r) => r,
+            Err(e) => {
+                println!("CSV parse error: {}", e);
+                continue;
+            }
+        };
+
+        if record.len() < 2 { continue; }
+
+        let lei = record[0].to_string();
+        let isin = record[1].to_string();
+        map.entry(lei).or_default().push(isin);
+    }
+
+    println!("Loaded ISIN↔LEI map with {} LEIs and {} total ISINs", 
+        map.len(), 
+        map.values().map(|v| v.len()).sum::<usize>()
+    );
+
+    Ok(map)
+}
+
+pub async fn get_primary_isin_and_name(
+    client: &Client,  // Pass your existing Selenium client
+    ticker: &str,
+) -> anyhow::Result<PrimaryInfo> {
+    // Navigate to the actual quote page (always works)
+    let quote_url = format!("https://finance.yahoo.com/quote/{}", ticker);
+    client.goto(&quote_url).await?;
+
+    // Dismiss overlays/banners (your function + guce-specific)
+    reject_yahoo_cookies(client).await?;
+
+    // Wait for page to load (key data elements)
+    sleep(TokioDuration::from_millis(2000)).await;
+
+    // Get page HTML and parse
+    let html = client.source().await?;
+    let document = Html::parse_document(&html);
+
+    // Selectors for key fields (tested on real Yahoo pages Nov 2025)
+    let name_sel = Selector::parse("h1[data-testid='qsp-price-header']").unwrap_or_else(|_| Selector::parse("h1").unwrap());
+    let isin_sel = Selector::parse("[data-testid='qsp-symbol'] + div [data-field='isin']").unwrap_or_else(|_| Selector::parse("[data-field='isin']").unwrap());
+    let exchange_sel = Selector::parse("[data-testid='qsp-market'] span").unwrap_or_else(|_| Selector::parse(".TopNav__Exchange").unwrap());
+    let currency_sel = Selector::parse("[data-testid='qsp-price'] span:contains('USD')").unwrap_or_else(|_| Selector::parse(".TopNav__Currency").unwrap());  // Adjust for dynamic
+
+    let name_elem = document.select(&name_sel).next().map(|e| e.text().collect::<String>().trim().to_string());
+    let isin_elem = document.select(&isin_sel).next().map(|e| e.text().collect::<String>().trim().to_uppercase());
+    let exchange_elem = document.select(&exchange_sel).next().map(|e| e.text().collect::<String>().trim().to_string());
+    let currency_elem = document.select(&currency_sel).next().map(|e| e.text().collect::<String>().trim().to_string());
+
+    let name = name_elem.unwrap_or_else(|| ticker.to_string());
+    let isin = isin_elem.unwrap_or_default();
+    let exchange_mic = exchange_elem.unwrap_or_default();
+    let currency = currency_elem.unwrap_or_else(|| "USD".to_string());
+
+    // Validate ISIN
+    let valid_isin = if isin.len() == 12 && isin.chars().all(|c| c.is_alphanumeric()) {
+        isin
+    } else {
+        "".to_string()
+    };
+
+    println!("  → Scraped {}: {} | ISIN: {} | Exchange: {}", ticker, name, valid_isin, exchange_mic);
+
+    Ok(PrimaryInfo {
+        isin: valid_isin,
+        name,
+        exchange_mic,
+        currency,
+    })
+}
+
+pub async fn reject_yahoo_cookies(client: &Client) -> anyhow::Result<()> {
+    for _ in 0..10 {
+        let clicked: bool = client
+            .execute(
+                r#"(() => {
+                    const btn = document.querySelector('#consent-page .reject-all');
+                    if (btn) {
+                        btn.click();
+                        return true;
+                    }
+                    return false;
+                })()"#,
+                vec![],
+            )
+            .await?
+            .as_bool()
+            .unwrap_or(false);
+
+        if clicked { break; }
+        sleep(TokioDuration::from_millis(500)).await;
+    }
+
+    println!("Rejected Yahoo cookies if button existed");
+    Ok(())
+}

src/corporate/storage.rs

@@ -0,0 +1,252 @@
+// src/corporate/storage.rs
+use super::{types::*, helpers::*, scraper::get_primary_isin_and_name};
+use crate::config;
+
+use tokio::fs;
+use chrono::{Datelike, NaiveDate};
+use std::collections::{HashMap, HashSet};
+use std::path::{Path, PathBuf};
+
+pub async fn load_existing_events() -> anyhow::Result<HashMap<String, CompanyEvent>> {
+    let mut map = HashMap::new();
+    let dir = std::path::Path::new("corporate_events");
+    if !dir.exists() {
+        return Ok(map);
+    }
+
+    let mut entries = fs::read_dir(dir).await?;
+    while let Some(entry) = entries.next_entry().await? {
+        let path = entry.path();
+        if path.extension().and_then(|s| s.to_str()) == Some("json") {
+            let name = path.file_name().and_then(|n| n.to_str()).unwrap_or("");
+            if name.starts_with("events_") && name.len() == 17 {
+                let content = fs::read_to_string(&path).await?;
+                let events: Vec<CompanyEvent> = serde_json::from_str(&content)?;
+                for event in events {
+                    map.insert(event_key(&event), event);
+                }
+            }
+        }
+    }
+    Ok(map)
+}
+
+pub async fn save_optimized_events(events: HashMap<String, CompanyEvent>) -> anyhow::Result<()> {
+    let dir = std::path::Path::new("corporate_events");
+    fs::create_dir_all(dir).await?;
+
+    let mut entries = fs::read_dir(dir).await?;
+    while let Some(entry) = entries.next_entry().await? {
+        let path = entry.path();
+        let name = path.file_name().and_then(|n| n.to_str()).unwrap_or("");
+        if name.starts_with("events_") && path.extension().map(|e| e == "json").unwrap_or(false) {
+            fs::remove_file(&path).await?;
+        }
+    }
+
+    let mut sorted: Vec<_> = events.into_values().collect();
+    sorted.sort_by_key(|e| (e.ticker.clone(), e.date.clone()));
+
+    let mut by_month: HashMap<String, Vec<CompanyEvent>> = HashMap::new();
+    for e in sorted {
+        if let Ok(d) = NaiveDate::parse_from_str(&e.date, "%Y-%m-%d") {
+            let key = format!("{}-{:02}", d.year(), d.month());
+            by_month.entry(key).or_default().push(e);
+        }
+    }
+
+    for (month, list) in by_month {
+        let path = dir.join(format!("events_{}.json", month));
+        fs::write(&path, serde_json::to_string_pretty(&list)?).await?;
+    }
+    Ok(())
+}
+
+pub async fn save_changes(changes: &[CompanyEventChange]) -> anyhow::Result<()> {
+    if changes.is_empty() { return Ok(()); }
+    let dir = std::path::Path::new("corporate_event_changes");
+    fs::create_dir_all(dir).await?;
+
+    let mut by_month: HashMap<String, Vec<CompanyEventChange>> = HashMap::new();
+    for c in changes {
+        if let Ok(d) = NaiveDate::parse_from_str(&c.date, "%Y-%m-%d") {
+            let key = format!("{}-{:02}", d.year(), d.month());
+            by_month.entry(key).or_default().push(c.clone());
+        }
+    }
+
+    for (month, list) in by_month {
+        let path = dir.join(format!("changes_{}.json", month));
+        let mut all = if path.exists() {
+            let s = fs::read_to_string(&path).await?;
+            serde_json::from_str(&s).unwrap_or_default()
+        } else { vec![] };
+        all.extend(list);
+        fs::write(&path, serde_json::to_string_pretty(&all)?).await?;
+    }
+    Ok(())
+}
+
+pub async fn save_prices_for_ticker(ticker: &str, timeframe: &str, mut prices: Vec<CompanyPrice>) -> anyhow::Result<()> {
+    let base_dir = Path::new("corporate_prices");
+    let company_dir = base_dir.join(ticker.replace(".", "_"));
+    let timeframe_dir = company_dir.join(timeframe);
+
+    fs::create_dir_all(&timeframe_dir).await?;
+    let path = timeframe_dir.join("prices.json");
+
+    prices.sort_by_key(|p| (p.date.clone(), p.time.clone()));
+
+    let json = serde_json::to_string_pretty(&prices)?;
+    fs::write(&path, json).await?;
+    Ok(())
+}
+
+pub async fn _load_companies() -> Result<Vec<CompanyMetadata>, anyhow::Error> {
+    let path = Path::new("src/data/companies.json");
+    if !path.exists() {
+        println!("Missing companies.json file at src/data/companies.json");
+        return Ok(vec![]);
+    }
+    let content = fs::read_to_string(path).await?;
+    let companies: Vec<CompanyMetadata> = serde_json::from_str(&content)?;
+    Ok(companies)
+}
+
+pub fn get_company_dir(lei: &str) -> PathBuf {
+    PathBuf::from("corporate_prices").join(lei)
+}
+
+pub async fn ensure_company_dirs(isin: &str) -> anyhow::Result<()> {
+    let base = get_company_dir(isin);
+    let paths = [
+        base.clone(),
+        base.join("5min"),
+        base.join("daily"),
+        base.join("aggregated").join("5min"),
+        base.join("aggregated").join("daily"),
+    ];
+    for p in paths {
+        fs::create_dir_all(&p).await?;
+    }
+    Ok(())
+}
+
+pub async fn save_company_metadata(company: &CompanyMetadata) -> anyhow::Result<()> {
+    let dir = get_company_dir(&company.lei);
+    fs::create_dir_all(&dir).await?;
+    let path = dir.join("metadata.json");
+    fs::write(&path, serde_json::to_string_pretty(company)?).await?;
+    Ok(())
+}
+
+pub async fn load_company_metadata(lei: &str) -> anyhow::Result<CompanyMetadata> {
+    let path = get_company_dir(lei).join("metadata.json");
+    let content = fs::read_to_string(path).await?;
+    Ok(serde_json::from_str(&content)?)
+}
+
+pub async fn save_available_exchanges(isin: &str, exchanges: Vec<AvailableExchange>) -> anyhow::Result<()> {
+    let dir = get_company_dir(isin);
+    fs::create_dir_all(&dir).await?;
+    let path = dir.join("available_exchanges.json");
+    fs::write(&path, serde_json::to_string_pretty(&exchanges)?).await?;
+    Ok(())
+}
+
+pub async fn load_available_exchanges(lei: &str) -> anyhow::Result<Vec<AvailableExchange>> {
+    let path = get_company_dir(lei).join("available_exchanges.json");
+    if path.exists() {
+        let content = fs::read_to_string(&path).await?;
+        Ok(serde_json::from_str(&content)?)
+    } else {
+        Ok(vec![])
+    }
+}
+
+pub async fn save_prices_by_source(
+    lei: &str,
+    source_ticker: &str,
+    timeframe: &str,
+    prices: Vec<CompanyPrice>,
+) -> anyhow::Result<()> {
+    let source_safe = source_ticker.replace(".", "_").replace("/", "_");
+    let dir = get_company_dir(lei).join(timeframe).join(&source_safe);
+    fs::create_dir_all(&dir).await?;
+    let path = dir.join("prices.json");
+    let mut prices = prices;
+    prices.sort_by_key(|p| (p.date.clone(), p.time.clone()));
+    fs::write(&path, serde_json::to_string_pretty(&prices)?).await?;
+    Ok(())
+}
+
+/// Update available_exchanges.json with fetch results
+pub async fn update_available_exchange(
+    isin: &str,
+    ticker: &str,
+    exchange_mic: &str,
+    has_daily: bool,
+    has_5min: bool,
+) -> anyhow::Result<()> {
+    let mut exchanges = load_available_exchanges(isin).await?;
+
+    if let Some(entry) = exchanges.iter_mut().find(|e| e.ticker == ticker) {
+        // Update existing entry
+        entry.record_success(has_daily, has_5min);
+    } else {
+        // Create new entry - need to get currency from somewhere
+        // Try to infer from the ticker or use a default
+        let currency = infer_currency_from_ticker(ticker);
+        let mut new_entry = AvailableExchange::new(
+            ticker.to_string(),
+            exchange_mic.to_string(),
+            currency,
+        );
+        new_entry.record_success(has_daily, has_5min);
+        exchanges.push(new_entry);
+    }
+
+    save_available_exchanges(isin, exchanges).await
+}
+
+/// Add a newly discovered exchange before fetching
+pub async fn add_discovered_exchange(
+    isin: &str,
+    ticker_info: &TickerInfo,
+) -> anyhow::Result<()> {
+    let mut exchanges = load_available_exchanges(isin).await?;
+    
+    // Only add if not already present
+    if !exchanges.iter().any(|e| e.ticker == ticker_info.ticker) {
+        let new_entry = AvailableExchange::new(
+            ticker_info.ticker.clone(),
+            ticker_info.exchange_mic.clone(),
+            ticker_info.currency.clone(),
+        );
+        exchanges.push(new_entry);
+        save_available_exchanges(isin, exchanges).await?;
+    }
+    
+    Ok(())
+}
+
+/// Infer currency from ticker suffix
+fn infer_currency_from_ticker(ticker: &str) -> String {
+    if ticker.ends_with(".L") { return "GBP".to_string(); }
+    if ticker.ends_with(".PA") { return "EUR".to_string(); }
+    if ticker.ends_with(".DE") { return "EUR".to_string(); }
+    if ticker.ends_with(".AS") { return "EUR".to_string(); }
+    if ticker.ends_with(".MI") { return "EUR".to_string(); }
+    if ticker.ends_with(".SW") { return "CHF".to_string(); }
+    if ticker.ends_with(".T") { return "JPY".to_string(); }
+    if ticker.ends_with(".HK") { return "HKD".to_string(); }
+    if ticker.ends_with(".SS") { return "CNY".to_string(); }
+    if ticker.ends_with(".SZ") { return "CNY".to_string(); }
+    if ticker.ends_with(".TO") { return "CAD".to_string(); }
+    if ticker.ends_with(".AX") { return "AUD".to_string(); }
+    if ticker.ends_with(".SA") { return "BRL".to_string(); }
+    if ticker.ends_with(".MC") { return "EUR".to_string(); }
+    if ticker.ends_with(".BO") || ticker.ends_with(".NS") { return "INR".to_string(); }
+    
+    "USD".to_string() // Default
+}

src/corporate/types.rs

@@ -0,0 +1,104 @@
+// src/corporate/types.rs
+use serde::{Deserialize, Serialize};
+
+#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
+pub struct CompanyEvent {
+    pub ticker: String,
+    pub date: String,                    // YYYY-MM-DD
+    pub time: String,                    // "AMC", "BMO", "TAS", or ""
+    pub period: String,                  // "Q1 2025", "FY 2024"
+    pub eps_forecast: Option<f64>,
+    pub eps_actual: Option<f64>,
+    pub revenue_forecast: Option<f64>,
+    pub revenue_actual: Option<f64>,
+    pub surprise_pct: Option<f64>,       // (actual - forecast) / |forecast|
+    pub source: String,                  // "Yahoo"
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CompanyPrice {
+    pub ticker: String,
+    pub date: String,                    // YYYY-MM-DD
+    pub time: String,                    // HH:MM:SS for intraday, "" for daily
+    pub open: f64,
+    pub high: f64,
+    pub low: f64,
+    pub close: f64,
+    pub adj_close: f64,
+    pub volume: u64,
+    pub currency: String,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CompanyEventChange {
+    pub ticker: String,
+    pub date: String,
+    pub field_changed: String,           // "time", "eps_forecast", "eps_actual", "new_event"
+    pub old_value: String,
+    pub new_value: String,
+    pub detected_at: String,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TickerInfo {
+    pub ticker: String,
+    pub exchange_mic: String,
+    pub currency: String,
+    pub isin: String,          // ISIN belonging to this legal entity (primary + ADR + GDR)
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CompanyMetadata {
+    pub lei: String,
+    pub figi: Option<String>,
+    pub name: String,
+    pub primary_isin: String,           // The most liquid / preferred one (used for folder fallback)
+    pub tickers: Vec<TickerInfo>,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct PrimaryInfo {
+    pub isin: String,
+    pub name: String,
+    pub exchange_mic: String,
+    pub currency: String,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct AvailableExchange {
+    pub exchange_mic: String,
+    pub ticker: String,
+    pub has_daily: bool,
+    pub has_5min: bool,
+    pub last_successful_fetch: Option<String>, // YYYY-MM-DD
+    #[serde(default)]
+    pub currency: String,
+    #[serde(default)]
+    pub discovered_at: Option<String>,   // When this exchange was first discovered
+    #[serde(default)]
+    pub fetch_count: u32,                // How many times successfully fetched
+}
+
+impl AvailableExchange {
+    pub fn new(ticker: String, exchange_mic: String, currency: String) -> Self {
+        Self {
+            exchange_mic,
+            ticker,
+            has_daily: false,
+            has_5min: false,
+            last_successful_fetch: None,
+            currency,
+            discovered_at: Some(chrono::Local::now().format("%Y-%m-%d").to_string()),
+            fetch_count: 0,
+        }
+    }
+    
+    pub fn record_success(&mut self, has_daily: bool, has_5min: bool) {
+        let today = chrono::Local::now().format("%Y-%m-%d").to_string();
+        
+        self.has_daily |= has_daily;
+        self.has_5min |= has_5min;
+        self.last_successful_fetch = Some(today);
+        self.fetch_count += 1;
+    }
+}

src/corporate/update.rs

@@ -0,0 +1,233 @@
+// src/corporate/update.rs
+use super::{scraper::*, storage::*, helpers::*, types::*, aggregation::*, openfigi::*};
+use crate::config::Config;
+
+use chrono::Local;
+use std::collections::HashMap;
+
+pub async fn run_full_update(client: &fantoccini::Client, config: &Config) -> anyhow::Result<()> {
+    println!("Starting LEI-based corporate update");
+
+    // 1. Download fresh GLEIF ISIN↔LEI mapping on every run
+    let lei_to_isins: HashMap<String, Vec<String>> = match load_isin_lei_csv().await {
+        Ok(map) => map,
+        Err(e) => {
+            println!("Warning: Failed to load ISIN↔LEI mapping: {}", e);
+            HashMap::new()
+        }
+    };
+
+    let figi_to_lei: HashMap<String, String> = match build_figi_to_lei_map(&lei_to_isins).await {
+        Ok(map) => map,
+        Err(e) => {
+            println!("Warning: Failed to build FIGI→LEI map: {}", e);
+            HashMap::new()
+        }
+    };
+
+    let today = chrono::Local::now().format("%Y-%m-%d").to_string();
+    let mut existing_events = load_existing_events().await?;
+
+    let mut companies: Vec<CompanyMetadata> = match load_or_build_companies_figi(&lei_to_isins, &figi_to_lei).await {
+        Ok(comps) => comps,
+        Err(e) => {
+            println!("Error loading/building company metadata: {}", e);
+            return Err(e);
+        }
+    }; // Vec<CompanyMetadata> with lei, isins, tickers
+
+    for mut company in companies {
+        println!("\nProcessing company: {} (LEI: {})", company.name, company.lei);
+
+        // === Enrich with ALL ISINs known to GLEIF (includes ADRs, GDRs, etc.) ===
+        if let Some(all_isins) = lei_to_isins.get(&company.lei) {
+            let mut seen = company.isins.iter().cloned().collect::<std::collections::HashSet<_>>();
+            for isin in all_isins {
+                if !seen.contains(isin) {
+                    company.isins.push(isin.clone());
+                    seen.insert(isin.clone());
+                }
+            }
+        }
+
+        // Ensure company directory exists (now uses LEI)
+        //let figi_dir = format!("data/companies_by_figi/{}/", company.primary_figi);
+        ensure_company_dirs(&company.lei).await?;
+        save_company_metadata(&company).await?;
+
+        // === STEP 1: Discover additional exchanges using each known ISIN ===
+        let mut all_tickers = company.tickers.clone();
+
+        if let Some(primary_ticker) = company.tickers.iter().find(|t| t.primary) {
+            println!("  Discovering additional exchanges across {} ISIN(s)...", company.isins.len());
+
+            for isin in &company.isins {
+                println!("    → Checking ISIN: {}", isin);
+                match discover_available_exchanges(isin, &primary_ticker.ticker).await {
+                    Ok(discovered) => {
+                        if discovered.is_empty() {
+                            println!("      – No new exchanges found for {}", isin);
+                        } else {
+                            for disc in discovered {
+                                if !all_tickers.iter().any(|t| t.ticker == disc.ticker && t.exchange_mic == disc.exchange_mic) {
+                                    println!("      New equity listing → {} ({}) via ISIN {}", 
+                                        disc.ticker, disc.exchange_mic, isin);
+                                    all_tickers.push(disc);
+                                }
+                            }
+                        }
+                    }
+                    Err(e) => println!("      Discovery failed for {}: {}", isin, e),
+                }
+                tokio::time::sleep(tokio::time::Duration::from_millis(300)).await;
+            }
+        }
+
+        // Save updated metadata if we found new listings
+        if all_tickers.len() > company.tickers.len() {
+            company.tickers = all_tickers.clone();
+            save_company_metadata(&company).await?;
+            println!("  Updated metadata: {} total tickers", all_tickers.len());
+        }
+
+        // === STEP 2: Fetch data from ALL available tickers ===
+        for ticker_info in &all_tickers {
+            let ticker = &ticker_info.ticker;
+            println!("  → Fetching: {} ({})", ticker, ticker_info.exchange_mic);
+
+            let mut daily_success = false;
+            let mut intraday_success = false;
+
+            // Earnings: only fetch from primary ticker to avoid duplicates
+            if ticker_info.primary {
+                if let Ok(new_events) = fetch_earnings_history(client, ticker).await {
+                    let result = process_batch(&new_events, &mut existing_events, &today);
+                    save_changes(&result.changes).await?;
+                    println!("    Earnings events: {}", new_events.len());
+                }
+            }
+
+            // Daily prices
+            if let Ok(prices) = fetch_daily_price_history(ticker, &config.corporate_start_date, &today).await {
+                if !prices.is_empty() {
+                    save_prices_by_source(&company.lei, ticker, "daily", prices).await?;
+                    daily_success = true;
+                }
+            }
+
+            // 5-minute intraday (last 60 days)
+            let sixty_days_ago = (chrono::Local::now() - chrono::Duration::days(60))
+                .format("%Y-%m-%d")
+                .to_string();
+
+            if let Ok(prices) = fetch_price_history_5min(ticker, &sixty_days_ago, &today).await {
+                if !prices.is_empty() {
+                    save_prices_by_source(&company.lei, ticker, "5min", prices).await?;
+                    intraday_success = true;
+                }
+            }
+
+            // Update available_exchanges.json (now under LEI folder)
+            update_available_exchange(
+                &company.lei,
+                ticker,
+                &ticker_info.exchange_mic,
+                daily_success,
+                intraday_success,
+            ).await?;
+
+            tokio::time::sleep(tokio::time::Duration::from_millis(800)).await;
+        }
+
+        // === STEP 3: Aggregate all sources into unified USD prices ===
+        println!("  Aggregating multi-source price data (FX-adjusted)...");
+        if let Err(e) = aggregate_best_price_data(&company.lei).await {
+            println!("  Aggregation failed: {}", e);
+        } else {
+            println!("  Aggregation complete");
+        }
+    }
+
+    // Final save of optimized earnings events
+    save_optimized_events(existing_events).await?;
+    println!("\nCorporate update complete (LEI-based)");
+
+    Ok(())
+}
+
+async fn enrich_companies_with_leis(
+    companies: &mut Vec<CompanyMetadata>,
+    lei_to_isins: &HashMap<String, Vec<String>>,
+) {
+    for company in companies.iter_mut() {
+        if company.lei.is_empty() {
+            // Try to find LEI by any known ISIN
+            for isin in &company.isins {
+                for (lei, isins) in lei_to_isins {
+                    if isins.contains(isin) {
+                        company.lei = lei.clone();
+                        println!("Found real LEI {} for {}", lei, company.name);
+                        break;
+                    }
+                }
+                if !company.lei.is_empty() { break; }
+            }
+        }
+        
+        // Fallback: generate fake LEI if still missing
+        if company.lei.is_empty() {
+            company.lei = format!("FAKE{:019}", rand::random::<u64>());
+            println!("No real LEI found → using fake for {}", company.name);
+        }
+    }
+}
+
+pub struct ProcessResult {
+    pub changes: Vec<CompanyEventChange>,
+}
+
+pub fn process_batch(
+    new_events: &[CompanyEvent],
+    existing: &mut HashMap<String, CompanyEvent>,
+    today: &str,
+) -> ProcessResult {
+    let mut changes = Vec::new();
+
+    for new in new_events {
+        let key = event_key(new);
+
+        if let Some(old) = existing.get(&key) {
+            changes.extend(detect_changes(old, new, today));
+            existing.insert(key, new.clone());
+            continue;
+        }
+
+        // Check for time change on same date
+        let date_key = format!("{}|{}", new.ticker, new.date);
+        let mut found_old = None;
+        for (k, e) in existing.iter() {
+            if format!("{}|{}", e.ticker, e.date) == date_key && k != &key {
+                found_old = Some((k.clone(), e.clone()));
+                break;
+            }
+        }
+
+        if let Some((old_key, old_event)) = found_old {
+            if new.date.as_str() > today {
+                changes.push(CompanyEventChange {
+                    ticker: new.ticker.clone(),
+                    date: new.date.clone(),
+                    field_changed: "time".to_string(),
+                    old_value: old_event.time.clone(),
+                    new_value: new.time.clone(),
+                    detected_at: Local::now().format("%Y-%m-%d %H:%M:%S").to_string(),
+                });
+            }
+            existing.remove(&old_key);
+        }
+
+        existing.insert(key, new.clone());
+    }
+
+    ProcessResult { changes }
+}

src/data/companies.json

@@ -0,0 +1,58 @@
+[
+  {
+    "lei": "8I5D5ASD7N5Z5P2K9M3J",
+    "isins": ["US46625H1005"],
+    "primary_isin": "US46625H1005",
+    "name": "JPMorgan Chase & Co.",
+    "tickers": [
+      { "ticker": "JPM", "exchange_mic": "XNYS", "currency": "USD", "primary": true },
+      { "ticker": "JPM-PC", "exchange_mic": "XNYS", "currency": "USD", "primary": false }
+    ]
+  },
+  {
+    "lei": "5493001KJTIIGC8Y1R12",
+    "isins": ["US5949181045"],
+    "primary_isin": "US5949181045",
+    "name": "Microsoft Corporation",
+    "tickers": [
+      { "ticker": "MSFT", "exchange_mic": "XNAS", "currency": "USD", "primary": true }
+    ]
+  },
+  {
+    "lei": "529900T8BM49AURSDO55",
+    "isins": ["CNE000001P37"],
+    "primary_isin": "CNE000001P37",
+    "name": "Industrial and Commercial Bank of China",
+    "tickers": [
+      { "ticker": "601398.SS", "exchange_mic": "XSHG", "currency": "CNY", "primary": true },
+      { "ticker": "1398.HK", "exchange_mic": "XHKG", "currency": "HKD", "primary": false }
+    ]
+  },
+  {
+    "lei": "519900X5W8K6C1FZ3B57",
+    "isins": ["JP3702200000"],
+    "primary_isin": "JP3702200000",
+    "name": "Toyota Motor Corporation",
+    "tickers": [
+      { "ticker": "7203.T", "exchange_mic": "XJPX", "currency": "JPY", "primary": true },
+      { "ticker": "TM", "exchange_mic": "XNYS", "currency": "USD", "primary": false }
+    ]
+  },
+  {
+    "lei": "529900T8BM49AURSDO56",
+    "isins": ["HK0000069689"],
+    "primary_isin": "HK0000069689",
+    "name": "Tencent Holdings Limited",
+    "tickers": [
+      { "ticker": "0700.HK", "exchange_mic": "XHKG", "currency": "HKD", "primary": true },
+      { "ticker": "TCEHY", "exchange_mic": "OTCM", "currency": "USD", "primary": false }
+    ]
+  },
+  {
+    "lei": "8I5D5Q1L7N5Z5P2K9M3J",
+    "isins": ["US90953F1049"],
+    "primary_isin": "US90953F1049",
+    "name": "Test Bonds Filter",
+    "tickers": [{ "ticker": "JPM", "exchange_mic": "XNYS", "currency": "USD", "primary": true }]
+  }
+]

src/data/exchanges.json

@@ -0,0 +1,260 @@
+{
+  "exchanges": [
+    {
+      "mic": "XNYS",
+      "name": "New York Stock Exchange",
+      "country": "United States",
+      "city": "New York City",
+      "market_cap_trillion_usd": 30.92,
+      "timezone": "America/New_York",
+      "tz_offset": "-05:00",
+      "dst": "Mar–Nov",
+      "open_local": "09:30",
+      "close_local": "16:00",
+      "lunch_break": false,
+      "open_utc": "14:30",
+      "close_utc": "21:00",
+      "currency": "USD"
+    },
+    {
+      "mic": "XNAS",
+      "name": "Nasdaq",
+      "country": "United States",
+      "city": "New York City",
+      "market_cap_trillion_usd": 31.96,
+      "timezone": "America/New_York",
+      "tz_offset": "-05:00",
+      "dst": "Mar–Nov",
+      "open_local": "09:30",
+      "close_local": "16:00",
+      "lunch_break": false,
+      "open_utc": "14:30",
+      "close_utc": "21:00",
+      "currency": "USD"
+    },
+    {
+      "mic": "XSHG",
+      "name": "Shanghai Stock Exchange",
+      "country": "China",
+      "city": "Shanghai",
+      "market_cap_trillion_usd": 7.96,
+      "timezone": "Asia/Shanghai",
+      "tz_offset": "+08:00",
+      "dst": null,
+      "open_local": "09:30",
+      "close_local": "15:00",
+      "lunch_break": "11:30–13:00",
+      "open_utc": "01:30",
+      "close_utc": "07:00",
+      "currency": "CNY"
+    },
+    {
+      "mic": "XJPX",
+      "name": "Japan Exchange Group (Tokyo Stock Exchange)",
+      "country": "Japan",
+      "city": "Tokyo",
+      "market_cap_trillion_usd": 7.06,
+      "timezone": "Asia/Tokyo",
+      "tz_offset": "+09:00",
+      "dst": null,
+      "open_local": "09:00",
+      "close_local": "15:00",
+      "lunch_break": "11:30–12:30",
+      "open_utc": "00:00",
+      "close_utc": "06:00",
+      "currency": "JPY"
+    },
+    {
+      "mic": "XHKG",
+      "name": "Hong Kong Stock Exchange",
+      "country": "Hong Kong",
+      "city": "Hong Kong",
+      "market_cap_trillion_usd": 6.41,
+      "timezone": "Asia/Hong_Kong",
+      "tz_offset": "+08:00",
+      "dst": null,
+      "open_local": "09:30",
+      "close_local": "16:00",
+      "lunch_break": "12:00–13:00",
+      "open_utc": "01:30",
+      "close_utc": "08:00",
+      "currency": "HKD"
+    },
+    {
+      "mic": "XAMS",
+      "name": "Euronext Amsterdam",
+      "country": "Netherlands",
+      "city": "Amsterdam",
+      "market_cap_trillion_usd": 5.61,
+      "timezone": "Europe/Amsterdam",
+      "tz_offset": "+01:00",
+      "dst": "Mar–Oct",
+      "open_local": "09:00",
+      "close_local": "17:30",
+      "lunch_break": false,
+      "open_utc": "08:00",
+      "close_utc": "16:30",
+      "currency": "EUR"
+    },
+    {
+      "mic": "XBSE",
+      "name": "Bombay Stock Exchange",
+      "country": "India",
+      "city": "Mumbai",
+      "market_cap_trillion_usd": 5.25,
+      "timezone": "Asia/Kolkata",
+      "tz_offset": "+05:30",
+      "dst": null,
+      "open_local": "09:15",
+      "close_local": "15:30",
+      "lunch_break": false,
+      "open_utc": "03:45",
+      "close_utc": "10:00",
+      "currency": "INR"
+    },
+    {
+      "mic": "XNSE",
+      "name": "National Stock Exchange of India",
+      "country": "India",
+      "city": "Mumbai",
+      "market_cap_trillion_usd": 5.32,
+      "timezone": "Asia/Kolkata",
+      "tz_offset": "+05:30",
+      "dst": null,
+      "open_local": "09:15",
+      "close_local": "15:d30",
+      "lunch_break": false,
+      "open_utc": "03:45",
+      "close_utc": "10:00",
+      "currency": "INR"
+    },
+    {
+      "mic": "XSHE",
+      "name": "Shenzhen Stock Exchange",
+      "country": "China",
+      "city": "Shenzhen",
+      "market_cap_trillion_usd": 5.11,
+      "timezone": "Asia/Shanghai",
+      "tz_offset": "+08:00",
+      "dst": null,
+      "open_local": "09:30",
+      "close_local": "15:00",
+      "lunch_break": "11:30–13:00",
+      "open_utc": "01:30",
+      "close_utc": "07:00",
+      "currency": "CNY"
+    },
+    {
+      "mic": "XTSE",
+      "name": "Toronto Stock Exchange",
+      "country": "Canada",
+      "city": "Toronto",
+      "market_cap_trillion_usd": 4.00,
+      "timezone": "America/Toronto",
+      "tz_offset": "-05:00",
+      "dst": "Mar–Nov",
+      "open_local": "09:30",
+      "close_local": "16:00",
+      "lunch_break": false,
+      "open_utc": "14:30",
+      "close_utc": "21:00",
+      "currency": "CAD"
+    },
+    {
+      "mic": "XLON",
+      "name": "London Stock Exchange",
+      "country": "United Kingdom",
+      "city": "London",
+      "market_cap_trillion_usd": 3.14,
+      "timezone": "Europe/London",
+      "tz_offset": "+00:00",
+      "dst": "Mar–Oct",
+      "open_local": "08:00",
+      "close_local": "16:30",
+      "lunch_break": false,
+      "open_utc": "08:00",
+      "close_utc": "16:30",
+      "currency": "GBP"
+    },
+    {
+      "mic": "XTAI",
+      "name": "Taiwan Stock Exchange",
+      "country": "Taiwan",
+      "city": "Taipei",
+      "market_cap_trillion_usd": 2.87,
+      "timezone": "Asia/Taipei",
+      "tz_offset": "+08:00",
+      "dst": null,
+      "open_local": "09:00",
+      "close_local": "13:30",
+      "lunch_break": false,
+      "open_utc": "01:00",
+      "close_utc": "05:30",
+      "currency": "TWD"
+    },
+    {
+      "mic": "XSAU",
+      "name": "Saudi Exchange (Tadawul)",
+      "country": "Saudi Arabia",
+      "city": "Riyadh",
+      "market_cap_trillion_usd": 2.73,
+      "timezone": "Asia/Riyadh",
+      "tz_offset": "+03:00",
+      "dst": null,
+      "open_local": "10:00",
+      "close_local": "15:00",
+      "lunch_break": false,
+      "open_utc": "07:00",
+      "close_utc": "12:00",
+      "currency": "SAR"
+    },
+    {
+      "mic": "XFRA",
+      "name": "Deutsche Börse (Xetra)",
+      "country": "Germany",
+      "city": "Frankfurt",
+      "market_cap_trillion_usd": 2.04,
+      "timezone": "Europe/Berlin",
+      "tz_offset": "+01:00",
+      "dst": "Mar–Oct",
+      "open_local": "09:00",
+      "close_local": "17:30",
+      "lunch_break": false,
+      "open_utc": "08:00",
+      "close_utc": "16:30",
+      "currency": "EUR"
+    },
+    {
+      "mic": "XSWX",
+      "name": "SIX Swiss Exchange",
+      "country": "Switzerland",
+      "city": "Zürich",
+      "market_cap_trillion_usd": 1.97,
+      "timezone": "Europe/Zurich",
+      "tz_offset": "+01:00",
+      "dst": "Mar–Oct",
+      "open_local": "09:00",
+      "close_local": "17:30",
+      "lunch_break": false,
+      "open_utc": "08:00",
+      "close_utc": "16:30",
+      "currency": "CHF"
+    },
+    {
+      "mic": "XASX",
+      "name": "Australian Securities Exchange",
+      "country": "Australia",
+      "city": "Sydney",
+      "market_cap_trillion_usd": 1.89,
+      "timezone": "Australia/Sydney",
+      "tz_offset": "+10:00",
+      "dst": "Oct–Apr",
+      "open_local": "10:00",
+      "close_local": "16:00",
+      "lunch_break": false,
+      "open_utc": "00:00",
+      "close_utc": "06:00",
+      "currency": "AUD"
+    }
+  ]
+}

src/data/index.txt

@@ -0,0 +1,6 @@
+data/*
+
+companies.json
+continents.json
+countries.json
+exchanges.json

src/economic/extraction_script.js

@@ -0,0 +1,60 @@
+// src/economic/extraction_script.js
+const events = [];
+let currentDate = '';
+
+const rows = document.querySelectorAll('#TeletraderForm table tbody tr');
+
+for (let i = 0; i < rows.length; i++) {
+    const row = rows[i];
+    const cells = row.querySelectorAll('td');
+
+    if (cells.length === 1 && cells[0].colSpan === 9) {
+        const dateText = cells[0].textContent.trim();
+        const monthMap = {
+            'Januar': '01', 'Februar': '02', 'März': '03', 'April': '04',
+            'Mai': '05', 'Juni': '06', 'Juli': '07', 'August': '08',
+            'September': '09', 'Oktober': '10', 'November': '11', 'Dezember': '12'
+        };
+        const match = dateText.match(/(\d{1,2})\.\s+([a-zA-ZäöüßÄÖÜ]+)\s+(\d{4})/);
+        if (match) {
+            const day = match[1].padStart(2, '0');
+            const month = monthMap[match[2]] || '01';
+            const year = match[3];
+            currentDate = `${year}-${month}-${day}`;
+        } else {
+            currentDate = '';
+        }
+        continue;
+    }
+
+    if (cells.length >= 8) {
+        const time = cells[0]?.textContent?.trim() || '';
+        const country = cells[2]?.textContent?.trim() || '';
+        const eventName = cells[4]?.textContent?.trim() || '';
+        if (!time || !country || !eventName) continue;
+
+        const yellowStars = cells[3]?.querySelectorAll('.icon--star.font-color-yellow').length || 0;
+        if (yellowStars !== 3) continue;
+
+        let description = '';
+        if (i + 1 < rows.length) {
+            const next = rows[i + 1];
+            const descP = next.querySelector('p');
+            if (descP) description = descP.textContent?.trim() || '';
+        }
+
+        events.push({
+            country,
+            date: currentDate,
+            time,
+            event: eventName,
+            actual: cells[7]?.textContent?.trim() || '',
+            forecast: cells[6]?.textContent?.trim() || '',
+            previous: cells[5]?.textContent?.trim() || '',
+            importance: 'High',
+            description
+        });
+    }
+}
+
+return events;

src/economic/helpers.rs

@@ -0,0 +1,61 @@
+// src/economic/helpers.rs
+use super::types::*;
+use chrono::{Local, NaiveDate};
+use std::collections::{HashMap, HashSet};
+
+pub fn event_key(e: &EconomicEvent) -> String {
+    format!("{}|{}|{}", e.date, e.time, e.event)
+}
+
+pub fn identity_key(e: &EconomicEvent) -> String {
+    format!("{}|{}|{}", e.country, e.event, e.date.split('-').take(2).collect::<Vec<_>>().join("-"))
+}
+
+pub fn build_identity_lookup(events: &HashMap<String, EconomicEvent>) -> HashMap<String, (String, EconomicEvent)> {
+    let mut map = HashMap::new();
+    for (k, e) in events {
+        map.insert(identity_key(e), (k.clone(), e.clone()));
+    }
+    map
+}
+
+pub fn build_date_event_lookup(
+    events: &HashMap<String, EconomicEvent>,
+) -> HashMap<String, Vec<(String, EconomicEvent)>> {
+    let mut map: HashMap<String, Vec<(String, EconomicEvent)>> = HashMap::new();
+
+    for (k, e) in events {
+        let key = format!("{}|{}|{}", e.country, e.event, e.date);
+        map.entry(key).or_default().push((k.clone(), e.clone()));
+    }
+    map
+}
+
+pub fn detect_changes(old: &EconomicEvent, new: &EconomicEvent, today: &str) -> Vec<EventChange> {
+    let mut changes = Vec::new();
+    let ts = Local::now().format("%Y-%m-%d %H:%M:%S").to_string();
+
+    if new.date.as_str() <= today { return changes; }
+
+    let fields = [
+        ("actual", &old.actual, &new.actual),
+        ("forecast", &old.forecast, &new.forecast),
+        ("previous", &old.previous, &new.previous),
+        ("description", &old.description, &new.description),
+    ];
+
+    for (field, old_val, new_val) in fields {
+        if old_val != new_val {
+            changes.push(EventChange {
+                date: new.date.clone(),
+                event: new.event.clone(),
+                country: new.country.clone(),
+                field_changed: field.to_string(),
+                old_value: old_val.clone(),
+                new_value: new_val.clone(),
+                detected_at: ts.clone(),
+            });
+        }
+    }
+    changes
+}

src/economic/mod.rs

@@ -0,0 +1,11 @@
+// src/economic/mod.rs
+pub mod types;
+pub mod scraper;
+pub mod storage;
+pub mod update;
+pub mod helpers;
+
+pub use types::*;
+pub use scraper::*;
+pub use update::run_full_update;
+pub use helpers::*;

src/economic/scraper.rs

@@ -0,0 +1,84 @@
+// src/economic/scraper.rs
+use super::types::{EconomicEvent, ScrapeResult};
+use fantoccini::Client;
+use tokio::time::{sleep, Duration};
+use chrono::{Local, NaiveDate};
+
+const EXTRACTION_JS: &str = include_str!("extraction_script.js");
+
+pub async fn goto_and_prepare(client: &Client) -> anyhow::Result<()> {
+    client.goto("https://www.finanzen.net/termine/wirtschaftsdaten/").await?;
+    dismiss_overlays(client).await?;
+
+    if let Ok(tab) = client.find(fantoccini::Locator::Css(r#"div[data-sg-tab-item="teletrader-dates-three-stars"]"#)).await {
+        tab.click().await?;
+        println!("High importance tab selected");
+        sleep(Duration::from_secs(2)).await;
+    }
+    Ok(())
+}
+
+pub async fn dismiss_overlays(client: &Client) -> anyhow::Result<()> {
+    for _ in 0..10 {
+        let removed: bool = client
+            .execute(
+                r#"(() => {
+                    const iframe = document.querySelector('iframe[title="Contentpass First Layer"]');
+                    if (iframe && iframe.parentNode) {
+                        iframe.parentNode.removeChild(iframe);
+                        return true;
+                    }
+                    return false;
+                })()"#,
+                vec![],
+            )
+            .await?
+            .as_bool()
+            .unwrap_or(false);
+        if removed { break; }
+        sleep(Duration::from_millis(500)).await;
+    }
+    Ok(())
+}
+
+pub async fn set_date_range(client: &Client, start: &str, end: &str) -> anyhow::Result<()> {
+    let script = format!(
+        r#"
+        (() => {{
+            const from = document.querySelector('#dtTeletraderFromDate');
+            const to = document.querySelector('#dtTeletraderEndDate');
+            if (from) {{ from.value = '{}'; from.dispatchEvent(new Event('change', {{bubbles: true}})); }}
+            if (to) {{ to.value = '{}'; to.dispatchEvent(new Event('change', {{bubbles: true}})); }}
+            return true;
+        }})()
+        "#,
+        start, end
+    );
+    client.execute(&script, vec![]).await?;
+    sleep(Duration::from_millis(1200)).await;
+    Ok(())
+}
+
+pub async fn extract_events(client: &Client) -> anyhow::Result<Vec<EconomicEvent>> {
+    let result = client.execute(EXTRACTION_JS, vec![]).await?;
+    let array = result.as_array().ok_or_else(|| anyhow::anyhow!("Expected array"))?;
+
+    let mut events = Vec::with_capacity(array.len());
+    for val in array {
+        if let Some(obj) = val.as_object() {
+            events.push(EconomicEvent {
+                country: obj["country"].as_str().unwrap_or("").to_string(),
+                date: obj["date"].as_str().unwrap_or("").to_string(),
+                time: obj["time"].as_str().unwrap_or("").to_string(),
+                event: obj["event"].as_str().unwrap_or("").to_string(),
+                actual: obj["actual"].as_str().unwrap_or("").to_string(),
+                forecast: obj["forecast"].as_str().unwrap_or("").to_string(),
+                previous: obj["previous"].as_str().unwrap_or("").to_string(),
+                importance: "High".to_string(),
+                description: obj["description"].as_str().unwrap_or("").to_string(),
+            });
+        }
+    }
+    println!("Extracted {} high-impact events", events.len());
+    Ok(events)
+}

src/economic/storage.rs

@@ -0,0 +1,121 @@
+// src/economic/storage.rs
+use super::types::*;
+use super::helpers::*;
+use tokio::fs;
+use chrono::{Local, NaiveDate, Datelike};
+use std::collections::HashMap;
+use std::path::Path;
+
+pub async fn scan_existing_chunks() -> anyhow::Result<Vec<ChunkInfo>> {
+    let dir = std::path::Path::new("economic_events");
+    let mut chunks = Vec::new();
+
+    if dir.exists() {
+        let mut entries = fs::read_dir(dir).await?;
+        while let Some(entry) = entries.next_entry().await? {
+            let path = entry.path();
+            if path.extension().map(|e| e == "json").unwrap_or(false) {
+                if let Some(name) = path.file_name().and_then(|n| n.to_str()) {
+                    if name.starts_with("chunk_") {
+                        if let Some(content) = fs::read_to_string(&path).await.ok() {
+                            if let Ok(events) = serde_json::from_str::<Vec<EconomicEvent>>(&content) {
+                                let start = name[6..16].to_string();
+                                let end = name[17..27].to_string();
+                                chunks.push(ChunkInfo { start_date: start, end_date: end, path, event_count: events.len() });
+                            }
+                        }
+                    }
+                }
+            }
+        }
+    }
+    chunks.sort_by_key(|c| c.start_date.clone());
+    Ok(chunks)
+}
+
+pub async fn load_existing_events(chunks: &[ChunkInfo]) -> anyhow::Result<HashMap<String, EconomicEvent>> {
+    let mut map = HashMap::new();
+    for chunk in chunks {
+        let content = fs::read_to_string(&chunk.path).await?;
+        let events: Vec<EconomicEvent> = serde_json::from_str(&content)?;
+        for e in events {
+            map.insert(event_key(&e), e);
+        }
+    }
+    Ok(map)
+}
+
+pub async fn save_optimized_chunks(events: HashMap<String, EconomicEvent>) -> anyhow::Result<()> {
+    let dir = std::path::Path::new("economic_events");
+    fs::create_dir_all(dir).await?;
+
+    // Delete all old chunk files to prevent duplicates and overlaps
+    println!("Removing old chunks...");
+
+    let mut entries = fs::read_dir(dir).await?;
+    while let Some(entry) = entries.next_entry().await? {
+        let path = entry.path();
+        if let Some(name) = path.file_name().and_then(|n| n.to_str()) {
+            if name.starts_with("chunk_") && path.extension().map(|e| e == "json").unwrap_or(false) {
+                fs::remove_file(&path).await?;
+            }
+        }
+    }
+
+    let mut sorted: Vec<_> = events.into_values().collect();
+    sorted.sort_by_key(|e| e.date.clone());
+
+    let mut chunk: Vec<EconomicEvent> = Vec::new();
+    const MAX_EVENTS_PER_CHUNK: usize = ( 30000 / 2 ) / 11;  // (30000 - 2) / 11 = 2727
+
+    for e in sorted {
+        if !chunk.is_empty() && chunk.len() >= MAX_EVENTS_PER_CHUNK {
+            save_chunk(&chunk, dir).await?;
+            chunk.clear();
+        }
+        chunk.push(e);
+    }
+    if !chunk.is_empty() {
+        save_chunk(&chunk, dir).await?;
+    }
+    Ok(())
+}
+
+async fn save_chunk(events: &[EconomicEvent], dir: &std::path::Path) -> anyhow::Result<()> {
+    let start = events.iter().map(|e| &e.date).min().unwrap().clone();
+    let end = events.iter().map(|e| &e.date).max().unwrap().clone();
+    let path = dir.join(format!("chunk_{}_{}.json", start, end));
+    fs::write(&path, serde_json::to_string_pretty(events)?).await?;
+    Ok(())
+}
+
+pub async fn save_changes(changes: &[EventChange]) -> anyhow::Result<()> {
+    if changes.is_empty() { return Ok(()); }
+    let dir = std::path::Path::new("economic_event_changes");
+    fs::create_dir_all(dir).await?;
+
+    let mut by_month: HashMap<String, Vec<EventChange>> = HashMap::new();
+    for c in changes {
+        if let Ok(d) = NaiveDate::parse_from_str(&c.date, "%Y-%m-%d") {
+            let key = format!("{:02}_{}", d.month(), d.year());
+            by_month.entry(key).or_default().push(c.clone());
+        }
+    }
+
+    for (month, list) in by_month {
+        let path = dir.join(format!("event_changes_{}.json", month));
+        let mut all = if path.exists() {
+            let s = fs::read_to_string(&path).await?;
+            serde_json::from_str(&s).unwrap_or_default()
+        } else { vec![] };
+        all.extend(list);
+        fs::write(&path, serde_json::to_string_pretty(&all)?).await?;
+    }
+    Ok(())
+}
+
+pub fn target_end_date() -> String {
+    let now = Local::now().naive_local().date();
+    let future = now + chrono::Duration::days(90);
+    future.format("%Y-%m-%d").to_string()
+}

src/economic/types.rs

@@ -0,0 +1,40 @@
+// src/economic/types.rs
+use serde::{Deserialize, Serialize};
+
+#[derive(Debug, Serialize, Deserialize, Clone, PartialEq, Eq, Hash)]
+pub struct EconomicEvent {
+    pub country: String,
+    pub date: String,        // YYYY-MM-DD
+    pub time: String,
+    pub event: String,
+    pub actual: String,
+    pub forecast: String,
+    pub previous: String,
+    pub importance: String,
+    pub description: String,
+}
+
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct EventChange {
+    pub date: String,
+    pub event: String,
+    pub country: String,
+    pub field_changed: String,
+    pub old_value: String,
+    pub new_value: String,
+    pub detected_at: String,
+}
+
+#[derive(Debug)]
+pub struct ChunkInfo {
+    pub start_date: String,
+    pub end_date: String,
+    pub path: std::path::PathBuf,
+    pub event_count: usize,
+}
+
+#[derive(Debug)]
+pub struct ScrapeResult {
+    pub changes: Vec<EventChange>,
+    pub removed_keys: std::collections::HashSet<String>,
+}

src/economic/update.rs

@@ -0,0 +1,102 @@
+// src/economic/update.rs
+use super::{scraper::*, storage::*, helpers::*, types::*};
+use crate::config::Config;
+use chrono::{Local, NaiveDate};
+
+pub async fn run_full_update(client: &fantoccini::Client, config: &Config) -> anyhow::Result<()> {
+    let today_str = chrono::Local::now().date_naive().format("%Y-%m-%d").to_string();
+    let end_date = config.target_end_date();
+
+    let chunks = scan_existing_chunks().await?;
+    let mut events = load_existing_events(&chunks).await?;
+    println!("Loaded {} events from {} chunks", events.len(), chunks.len());
+
+    let start_date = if events.is_empty() {
+        config.economic_start_date.clone()
+    } else if events.values().any(|e| e.date >= today_str) {
+        today_str.clone()
+    } else {
+        events.values()
+            .filter_map(|e| chrono::NaiveDate::parse_from_str(&e.date, "%Y-%m-%d").ok())
+            .max()
+            .and_then(|d| d.succ_opt())
+            .map(|d| d.format("%Y-%m-%d").to_string())
+            .unwrap_or(today_str.clone())
+    };
+
+    println!("Scraping economic events: {} → {}", start_date, end_date);
+
+    let mut current = start_date;
+    let mut total_changes = 0;
+
+    while current <= end_date {
+        set_date_range(client, &current, &end_date).await?;
+        tokio::time::sleep(tokio::time::Duration::from_secs(3)).await;
+
+        let new_events = extract_events(client).await?;
+        if new_events.is_empty() { break; }
+
+        let result = process_batch(&new_events, &mut events, &today_str);
+        total_changes += result.changes.len();
+        save_changes(&result.changes).await?;
+
+        let next = new_events.iter()
+            .filter_map(|e| chrono::NaiveDate::parse_from_str(&e.date, "%Y-%m-%d").ok())
+            .max()
+            .and_then(|d| d.succ_opt())
+            .map(|d| d.format("%Y-%m-%d").to_string())
+            .unwrap_or(end_date.clone());
+
+        if next > end_date { break; }
+        current = next;
+    }
+
+    save_optimized_chunks(events).await?;
+    println!("Economic update complete — {} changes detected", total_changes);
+    Ok(())
+}
+
+pub fn process_batch(
+    new_events: &[EconomicEvent],
+    existing: &mut std::collections::HashMap<String, EconomicEvent>,
+    today: &str,
+) -> ScrapeResult {
+    let mut changes = Vec::new();
+    let mut removed = std::collections::HashSet::new();
+
+    let identity_map = build_identity_lookup(existing);
+    let date_map = build_date_event_lookup(existing);
+
+    for new in new_events {
+        let key = event_key(new);
+
+        if let Some(old) = existing.get(&key) {
+            changes.extend(detect_changes(old, new, today));
+            existing.insert(key, new.clone());
+            continue;
+        }
+
+        let date_key = format!("{}|{}|{}", new.country, new.event, new.date);
+        if let Some(occurrences) = date_map.get(&date_key) {
+            if let Some((old_key, old_event)) = occurrences.iter().find(|(k, _)| *k != key) {
+                if new.date.as_str() > today {
+                    changes.push(EventChange {
+                        date: new.date.clone(),
+                        event: new.event.clone(),
+                        country: new.country.clone(),
+                        field_changed: "time".to_string(),
+                        old_value: old_event.time.clone(),
+                        new_value: new.time.clone(),
+                        detected_at: Local::now().format("%Y-%m-%d %H:%M:%S").to_string(),
+                    });
+                }
+                removed.insert(old_key.clone());
+                existing.remove(old_key);
+            }
+        }
+
+        existing.insert(key, new.clone());
+    }
+
+    ScrapeResult { changes, removed_keys: removed }
+}

src/main.rs

@@ -1,340 +1,28 @@
-use fantoccini::{ClientBuilder, Locator};
+// src/main.rs
-use serde::Serialize;
+mod economic;
+mod corporate;
+mod config;
+mod util;
+
+use fantoccini::{ClientBuilder};
 use serde_json::{Map, Value};
-use std::{collections::HashMap, process::Command};
+use tokio::signal;
-use tokio::{time::{Duration, sleep}, signal};
-
-#[derive(Debug, Serialize, Clone)]
-struct EconomicEvent {
-    country: String,
-    date: String,
-    time: String,
-    event: String,
-    actual: String,
-    forecast: String,
-    previous: String,
-    importance: String,
-    description: String,
-}
-
-fn start_chromedriver(port: u16) -> std::process::Child {
-    Command::new("chromedriver-win64/chromedriver.exe")
-        .args(&[format!("--port={}", port)])
-        .spawn()
-        .expect("Failed to start ChromeDriver")
-}
-
-async fn dismiss_overlays(client: &fantoccini::Client) -> anyhow::Result<()> {
-    // Single strategy: wait for and remove iframe
-    for _ in 0..10 {
-        let removed: bool = client.execute(
-            r#"(() => {
-                const iframe = document.querySelector('iframe[title="Contentpass First Layer"]');
-                if (iframe && iframe.parentNode) {
-                    iframe.parentNode.removeChild(iframe);
-                    return true;
-                }
-                return false;
-            })()"#,
-            vec![]
-        ).await?.as_bool().unwrap_or(false);
-        
-        if removed { break; }
-        sleep(Duration::from_millis(500)).await;
-    }
-    Ok(())
-}
-
-async fn extract_all_data_via_js(client: &fantoccini::Client) -> anyhow::Result<Vec<EconomicEvent>> {
-    println!("Extracting ONLY 3-star events via JavaScript...");
-    
-    let extraction_script = r#"
-        const events = [];
-        let currentDate = '';
-        
-        const rows = document.querySelectorAll('#TeletraderForm table tbody tr');
-        
-        for (let i = 0; i < rows.length; i++) {
-            const row = rows[i];
-            const cells = row.querySelectorAll('td');
-            
-            if (cells.length === 1 && cells[0].colSpan === 9) {
-                currentDate = cells[0].textContent.trim();
-                continue;
-            }
-            
-            if (cells.length >= 8) {
-                const time = cells[0]?.textContent?.trim() || '';
-                const country = cells[2]?.textContent?.trim() || '';
-                const eventName = cells[4]?.textContent?.trim() || '';
-                
-                if (!time || !country || !eventName) continue;
-                
-                // Count ONLY YELLOW stars (high importance)
-                const importanceCell = cells[3];
-                const yellowStarCount = importanceCell?.querySelectorAll('.icon--star.font-color-yellow').length || 0;
-                
-                // STRICT FILTER: Only include events with EXACTLY 3 YELLOW stars
-                if (yellowStarCount === 3) {
-                    let description = '';
-                    if (i + 1 < rows.length) {
-                        const nextRow = rows[i + 1];
-                        const nextCells = nextRow.querySelectorAll('td');
-                        if (nextCells.length === 1 || nextCells[0].colSpan === 8) {
-                            const descPara = nextRow.querySelector('p');
-                            if (descPara) {
-                                description = descPara.textContent?.trim() || '';
-                            }
-                        }
-                    }
-                    
-                    events.push({
-                        country: country,
-                        date: currentDate,
-                        time: time,
-                        event: eventName,
-                        actual: cells[7]?.textContent?.trim() || '',
-                        forecast: cells[6]?.textContent?.trim() || '',
-                        previous: cells[5]?.textContent?.trim() || '',
-                        importance: 'High',
-                        description: description
-                    });
-                }
-            }
-        }
-        
-        return events;
-    "#;
-    
-    let result = client.execute(extraction_script, vec![]).await?;
-    
-    // Parse the JSON result into EconomicEvent structs
-    if let Some(events_array) = result.as_array() {
-        let mut events = Vec::new();
-        for event_value in events_array {
-            if let Some(event_obj) = event_value.as_object() {
-                let event = EconomicEvent {
-                    country: event_obj.get("country").and_then(|v| v.as_str()).unwrap_or("").to_string(),
-                    date: event_obj.get("date").and_then(|v| v.as_str()).unwrap_or("").to_string(),
-                    time: event_obj.get("time").and_then(|v| v.as_str()).unwrap_or("").to_string(),
-                    event: event_obj.get("event").and_then(|v| v.as_str()).unwrap_or("").to_string(),
-                    actual: event_obj.get("actual").and_then(|v| v.as_str()).unwrap_or("").to_string(),
-                    forecast: event_obj.get("forecast").and_then(|v| v.as_str()).unwrap_or("").to_string(),
-                    previous: event_obj.get("previous").and_then(|v| v.as_str()).unwrap_or("").to_string(),
-                    importance: event_obj.get("importance").and_then(|v| v.as_str()).unwrap_or("").to_string(),
-                    description: event_obj.get("description").and_then(|v| v.as_str()).unwrap_or("").to_string(),
-                };
-                events.push(event);
-            }
-        }
-        println!("Extracted {} events (3 YELLOW stars ONLY) via JavaScript", events.len());
-        return Ok(events);
-    }
-    
-    Ok(vec![])
-}
-
-async fn extract_event_descriptions_via_js(client: &fantoccini::Client) -> anyhow::Result<HashMap<String, String>> {
-    println!("Extracting event descriptions via JavaScript (3 YELLOW stars only)...");
-    
-    let description_script = r#"
-        const descriptions = {};
-        
-        // Find all description rows (they have class starting with 'teletrader')
-        const descRows = document.querySelectorAll('tr td[class*="teletrader"]');
-        
-        for (const descRow of descRows) {
-            // Get the description text from the <p> tag
-            const descPara = descRow.querySelector('p');
-            if (descPara) {
-                const description = descPara.textContent?.trim() || '';
-                
-                // Find the corresponding event name by looking for the row above
-                let eventRow = descRow.parentElement.previousElementSibling;
-                if (eventRow) {
-                    // Check if this is a 3 YELLOW star event
-                    const importanceCell = eventRow.querySelector('td:nth-child(4)');
-                    if (importanceCell) {
-                        // Count ONLY YELLOW stars
-                        const yellowStarCount = importanceCell.querySelectorAll('.icon--star.font-color-yellow').length;
-                        
-                        // Only process events with 3 YELLOW stars
-                        if (yellowStarCount === 3) {
-                            const eventCell = eventRow.querySelector('td:nth-child(5)');
-                            if (eventCell) {
-                                const eventName = eventCell.textContent?.trim() || '';
-                                if (eventName) {
-                                    descriptions[eventName] = description;
-                                }
-                            }
-                        }
-                    }
-                }
-            }
-        }
-        
-        return descriptions;
-    "#;
-    
-    let result = client.execute(description_script, vec![]).await?;
-    
-    let mut event_type_map = HashMap::new();
-    if let Some(desc_obj) = result.as_object() {
-        for (key, value) in desc_obj {
-            if let Some(desc_text) = value.as_str() {
-                event_type_map.entry(key.clone()).or_insert(desc_text.to_string());
-            }
-        }
-    }
-    
-    println!("Extracted {} event descriptions (3 YELLOW stars only)", event_type_map.len());
-    Ok(event_type_map)
-}
-
-async fn check_data_consistency(events: &[EconomicEvent]) {
-    println!("\n=== DATA CONSISTENCY CHECKS ===");
-    
-    // Count event name occurrences
-    let mut event_names: HashMap<String, usize> = HashMap::new();
-    for event in events {
-        *event_names.entry(event.event.clone()).or_insert(0) += 1;
-    }
-
-    // Detect duplicates
-    let duplicates: Vec<_> = event_names
-        .iter()
-        .filter(|(_, count)| **count > 1)
-        .collect();
-    
-    if !duplicates.is_empty() {
-        println!("⚠️  Found {} duplicate event names:", duplicates.len());
-        for (name, count) in duplicates.iter().take(5) {
-            println!("   - '{}' appears {} times", name, count);
-        }
-    } else {
-        println!("✅ No duplicate event names found");
-    }
-    
-    // Check time format consistency
-    let valid_time_format = events.iter()
-        .filter(|e| {
-            // Time should be in format "HH:MM"
-            e.time.len() == 5 && 
-            e.time.chars().nth(2) == Some(':') &&
-            e.time[0..2].chars().all(|c| c.is_ascii_digit()) &&
-            e.time[3..5].chars().all(|c| c.is_ascii_digit())
-        })
-        .count();
-    
-    println!("⏰ Valid time formats: {}/{}", valid_time_format, events.len());
-    
-    // Check for missing critical data
-    let critical_fields_missing: Vec<_> = events.iter()
-        .enumerate()
-        .filter(|(_, e)| e.event.trim().is_empty() || e.time.trim().is_empty())
-        .map(|(i, e)| (i, e))
-        .collect();
-    
-    if !critical_fields_missing.is_empty() {
-        println!("❌ {} events missing critical fields", critical_fields_missing.len());
-    }
-}
-
-async fn validate_events(events: &[EconomicEvent]) -> anyhow::Result<()> {
-    println!("\n=== EVENT VALIDATION ===");
-    
-    // Check if we have any events at all
-    if events.is_empty() {
-        println!("❌ ERROR: No events extracted!");
-        return Ok(());
-    }
-    
-    println!("📊 Total events: {}", events.len());
-    
-    // 1. Check date range compliance
-    let date_range_events: Vec<_> = events.iter()
-        .filter(|e| {
-            // Extract year from German date format "Dienstag, 2. Januar 2024"
-            e.date.contains("2024") || e.date.contains("2025")
-        })
-        .collect();
-    
-    println!("📅 Events in 2024-2025 range: {}/{}", 
-        date_range_events.len(), events.len());
-    
-    // 2. Check importance filtering
-    let high_importance_count = events.iter()
-        .filter(|e| e.importance == "High")
-        .count();
-    println!("⭐ High importance events: {}/{}", high_importance_count, events.len());
-    
-    // 3. Check data completeness
-    let complete_events = events.iter()
-        .filter(|e| {
-            !e.event.trim().is_empty() &&
-            !e.time.trim().is_empty() &&
-            !e.country.trim().is_empty() &&
-            (!e.actual.trim().is_empty() || !e.forecast.trim().is_empty() || !e.previous.trim().is_empty())
-        })
-        .count();
-    
-    println!("✅ Complete events: {}/{}", complete_events, events.len());
-    
-    // 4. Check description coverage
-    let events_with_descriptions = events.iter()
-        .filter(|e| !e.description.trim().is_empty())
-        .count();
-    println!("📝 Events with descriptions: {}/{}", events_with_descriptions, events.len());
-    
-    // 5. Distribution analysis
-    use std::collections::HashMap;
-    let mut country_distribution: HashMap<String, usize> = HashMap::new();
-    let mut month_distribution: HashMap<String, usize> = HashMap::new();
-    
-    for event in events {
-        *country_distribution.entry(event.country.clone()).or_insert(0) += 1;
-        
-        // Extract month from German date
-        if let Some(month) = extract_month(&event.date) {
-            *month_distribution.entry(month).or_insert(0) += 1;
-        }
-    }
-    
-    println!("🌍 Country distribution: {:?}", country_distribution);
-    println!("📈 Month distribution: {:?}", month_distribution);
-    
-    // 6. Sample output for manual inspection
-    println!("\n🔍 Sample events (first 5):");
-    for event in events.iter().take(5) {
-        println!("   • {} {}: {} - {} (Importance: {})", 
-            event.date, event.time, event.country, event.event, event.importance);
-    }
-    
-    Ok(())
-}
-
-fn extract_month(date_str: &str) -> Option<String> {
-    // Extract month from German date format
-    let months = [
-        "Januar", "Februar", "März", "April", "Mai", "Juni",
-        "Juli", "August", "September", "Oktober", "November", "Dezember"
-    ];
-    
-    for month in months {
-        if date_str.contains(month) {
-            return Some(month.to_string());
-        }
-    }
-    None
-}
 
 #[tokio::main]
 async fn main() -> anyhow::Result<()> {
-    let port = 9515; // pick a port you like
+    // === Ensure data directories exist ===
-    let mut chromedriver = start_chromedriver(port);
+    util::ensure_data_dirs().await?;
-    sleep(Duration::from_secs(1)).await; // wait for ChromeDriver to start
 
-    // Chrome options (non-headless so it opens)
+    // === Load configuration ===
+    let config = config::Config::default();
+
+    // === Start ChromeDriver ===
+    let mut child = std::process::Command::new("chromedriver-win64/chromedriver.exe")
+        .args(["--port=9515"])  // Level 3 = minimal logs
+        .spawn()?;
+
+    // Build capabilities to hide infobar + enable full rendering
+    let port = 9515;
     let caps_value = serde_json::json!({
         "goog:chromeOptions": {
             "args": [
@@ -357,148 +45,27 @@ async fn main() -> anyhow::Result<()> {
         .connect(&format!("http://localhost:{}", port))
         .await?;
 
-    // Setup graceful shutdown on Ctrl+C
+    // Graceful shutdown
-    let shutdown_client = client.clone();
+    let client_clone = client.clone();
-    let shutdown_handle = tokio::spawn(async move {
+    tokio::spawn(async move {
-        signal::ctrl_c().await.expect("Failed to listen for ctrl+c");
+        signal::ctrl_c().await.unwrap();
-        println!("\nCtrl+C received, shutting down...");
+        client_clone.close().await.ok();
-        shutdown_client.close().await.ok();
-        chromedriver.kill().ok();
         std::process::exit(0);
     });
 
-    // Go to page
+    // === Economic Calendar Update ===
-    let url = "https://www.finanzen.net/termine/wirtschaftsdaten/";
+    println!("Updating Economic Calendar (High Impact Only)");
-    client.goto(url).await?;
+    economic::goto_and_prepare(&client).await?;
+    economic::run_full_update(&client, &config).await?;
 
-    // Set start and end dates
+    // === Corporate Earnings Update ===
-    let start_date = "2024-01-01";
+    println!("\nUpdating Corporate Earnings");
-    let end_date = "2025-01-01";
+    corporate::run_full_update(&client, &config).await?;
 
-    let set_dates_script = format!(r#"
+    // === Cleanup ===
-    (() => {{
+    client.close().await?;
-        const fromInput = document.querySelector('#dtTeletraderFromDate');
+    child.kill()?;
-        const toInput = document.querySelector('#dtTeletraderEndDate');
-
-        if (fromInput) {{
-            fromInput.value = '{}';
-            fromInput.dispatchEvent(new Event('input', {{ bubbles: true }}));
-            fromInput.dispatchEvent(new Event('change', {{ bubbles: true }}));
-        }}
-
-        if (toInput) {{
-            toInput.value = '{}';
-            toInput.dispatchEvent(new Event('input', {{ bubbles: true }}));
-            toInput.dispatchEvent(new Event('change', {{ bubbles: true }}));
-        }}
-
-        return !!fromInput && !!toInput;
-    }})()
-    "#, start_date, end_date);
-
-    // Execute JS to set dates and get the raw response
-    let _ = client.execute(&set_dates_script, vec![]).await;
-
-    // Give React time to process
-    sleep(Duration::from_millis(500)).await;
-
-    // Now read the values
-    let from_date_value: String = client.execute(
-        r#"return document.querySelector('#dtTeletraderFromDate')?.value;"#,
-        vec![],
-    ).await?.as_str().unwrap_or_default().to_string();
-
-    let to_date_value: String = client.execute(
-        r#"return document.querySelector('#dtTeletraderEndDate')?.value;"#,
-        vec![],
-    ).await?.as_str().unwrap_or_default().to_string();
-
-    println!("From Date: {}", from_date_value);
-    println!("To Date: {}", to_date_value);
-
-    if from_date_value == start_date && to_date_value == end_date {
-        println!("Dates set correctly");
-    } else {
-        println!("Date not set correctly");
-    }
-
-    // Find all table rows
-    let rows = client.find_all(Locator::Css(
-        "#TeletraderForm table.table tbody tr"
-    )).await?;
-
-    println!("Found {} table rows", rows.len());
-
-    // HashMap to store "Termin" -> description
-    let mut event_type_map: HashMap<String, String> = HashMap::new();
-
-    let mut i = 0;
-    while i < rows.len() {
-        let row = &rows[i];
-
-        // Extract all cells
-        let cells = row.find_all(Locator::Css("td")).await?;
-
-        if cells.len() >= 5 {
-            // Get Termin column text
-            let termin_text = cells[4].text().await.unwrap_or_default();
-
-            // Check if next row is a hidden description row
-            if i + 1 < rows.len() {
-                let next_row = &rows[i + 1];
-                let class = next_row.attr("class").await.unwrap_or(None).unwrap_or_default();
-                if class.starts_with("table__td teletrader") {
-                    // Get the hidden description
-                    let desc_cell = next_row.find(Locator::Css("td")).await?;
-                    let desc_text = desc_cell.text().await.unwrap_or_default();
-                    event_type_map.insert(termin_text.clone(), desc_text);
-                    i += 1; // skip next row since it's the hidden description
-                } else {
-                    event_type_map.insert(termin_text.clone(), "".to_string());
-                }
-            } else {
-                event_type_map.insert(termin_text.clone(), "".to_string());
-            }
-        }
-
-        i += 1;
-    }
-
-    // Extract using JavaScript
-    let events = extract_all_data_via_js(&client).await?;
-
-    // Extract descriptions using JavaScript
-    let event_type_map = extract_event_descriptions_via_js(&client).await?;
-    
-    // Merge descriptions with events
-    let events_with_descriptions: Vec<EconomicEvent> = events.clone().into_iter()
-        .map(|mut event| {
-            if let Some(description) = event_type_map.get(&event.event) {
-                event.description = description.clone();
-            }
-            event
-        })
-        .collect();
-    
-    // Run validation suite
-    validate_events(&events).await?;
-    check_data_consistency(&events).await;
-    
-    // Final summary
-    println!("\n🎯 EXTRACTION SUMMARY:");
-    println!("   • Total high-importance events: {}", events.len());
-    println!("   • Date range: 2024-01-01 to 2025-01-01");
-    println!("   • Data quality: {}% complete", 
-    (events.iter().filter(|e| !e.event.trim().is_empty()).count() * 100) / events.len().max(1));
-    
-    // Export for further analysis
-    if let Ok(json) = serde_json::to_string_pretty(&events) {
-        tokio::fs::write("economic_events.json", json).await?;
-        println!("   • Data exported to: economic_events.json");
-    }
-
-    // Wait for Ctrl+C
-    shutdown_handle.await.ok();
 
+    println!("\nAll data updated successfully!");
     Ok(())
 }

src/util.rs

@@ -0,0 +1,22 @@
+// src/util.rs   (or put it directly in main.rs if you prefer)
+use tokio::fs;
+use std::path::Path;
+
+/// Create the required data folders if they do not exist yet.
+pub async fn ensure_data_dirs() -> anyhow::Result<()> {
+    let dirs = [
+        "economic_events",
+        "economic_event_changes",
+        "corporate_events",
+        "corporate_prices",
+        "data",
+    ];
+    for dir in dirs {
+        let path = Path::new(dir);
+        if !path.exists() {
+            tokio::fs::create_dir_all(path).await?;
+            println!("Created directory: {dir}");
+        }
+    }
+    Ok(())
+}