data fixes; indicator=>workspace sync

gateway/src/clients/duckdb-client.ts

@@ -420,7 +420,7 @@ export class DuckDBClient {
         WHERE ticker = ?
           AND period_seconds = ?
           AND timestamp >= ?
-          AND timestamp <= ?
+          AND timestamp < ?
         ORDER BY timestamp ASC
       `;
 
@@ -441,10 +441,11 @@ export class DuckDBClient {
         count: rows.length
       }, 'Loaded OHLC data from Iceberg');
 
-      // Convert timestamp strings to numbers (microseconds as Number is fine for display)
+      // Keep timestamp as bigint to preserve full microsecond precision.
+      // Convert to seconds (divide first) only when producing TradingView bars.
       return rows.map((row: any) => ({
         ...row,
-        timestamp: Number(row.timestamp)
+        timestamp: BigInt(row.timestamp)
       }));
     } catch (error: any) {
       this.logger.error({
@@ -484,7 +485,7 @@ export class DuckDBClient {
         WHERE ticker = ?
           AND period_seconds = ?
           AND timestamp >= ?
-          AND timestamp <= ?
+          AND timestamp < ?
       `;
 
       const params = [
@@ -525,6 +526,7 @@ export class DuckDBClient {
       // For now, simple check: if we have any data, assume complete
       // TODO: Implement proper gap detection by checking for missing periods
       const periodMicros = BigInt(period_seconds) * 1000000n;
+      // end_time is exclusive, so expected count = (end - start) / period (no +1)
       const expectedBars = Number((end_time - start_time) / periodMicros);
 
       if (data.length < expectedBars * 0.95) { // Allow 5% tolerance