feat: add per-ticker progress logging to pipeline

Before this change, the pipeline showed a generic 'Analyzing...' spinner
for the entire multi-ticker run with no way to know which ticker was
processing or whether anything was actually working.

Changes:
- macro_bridge.py:
  - run_ticker_analysis: logs '▶ Starting', '✓ complete in Xs', '✗ FAILED'
    with elapsed time per ticker using logger.info/logger.error
  - run_all_tickers: replaced asyncio.gather (swallows all progress) with
    asyncio.as_completed + optional on_ticker_done(result, done, total)
    callback; uses asyncio.Semaphore for max_concurrent control
  - Added time and Callable imports

- cli/main.py run_pipeline:
  - Replaced Live(Spinner) with Rich Progress bar (spinner + bar + counter
    + elapsed time)
  - Prints '▷ Queued: TICKER' before analysis starts for each ticker
  - on_ticker_done callback prints '✓ TICKER (N/M, Xs elapsed) → decision'
    or '✗ TICKER failed ...' immediately as each ticker finishes
  - Prints total elapsed time when all tickers complete

cli/main.py

@@ -1580,18 +1580,63 @@ def run_pipeline(
 
     console.print(
         f"\n[cyan]Running TradingAgents for {len(candidates)} tickers...[/cyan]"
+        f"  [dim](up to 2 concurrent)[/dim]\n"
     )
+    for c in candidates:
+        console.print(
+            f"  [dim]▷ Queued:[/dim] [bold cyan]{c.ticker}[/bold cyan]"
+            f"  [dim]{c.sector} · {c.conviction.upper()} conviction[/dim]"
+        )
+    console.print()
+    import time as _time
+    from rich.progress import Progress, SpinnerColumn, BarColumn, TextColumn, TimeElapsedColumn
+
+    pipeline_start = _time.monotonic()
+
+    with Progress(
+        SpinnerColumn(),
+        TextColumn("[progress.description]{task.description}"),
+        BarColumn(),
+        TextColumn("[cyan]{task.completed}/{task.total}[/cyan]"),
+        TimeElapsedColumn(),
+        console=console,
+        transient=False,
+    ) as progress:
+        overall = progress.add_task("[bold]Pipeline progress[/bold]", total=len(candidates))
+
+        def on_done(result, done_count, total_count):
+            ticker_elapsed = _time.monotonic() - pipeline_start
+            if result.error:
+                console.print(
+                    f"  [red]✗ {result.ticker}[/red]"
+                    f"  [dim]failed ({ticker_elapsed:.0f}s elapsed) — {result.error[:80]}[/dim]"
+                )
+            else:
+                decision_preview = str(result.final_trade_decision)[:70].replace("\n", " ")
+                console.print(
+                    f"  [green]✓ {result.ticker}[/green]"
+                    f"  [dim]({done_count}/{total_count}, {ticker_elapsed:.0f}s elapsed)[/dim]"
+                    f"  → {decision_preview}"
+                )
+            progress.advance(overall)
+
         try:
-        with Live(
-            Spinner("dots", text="Analyzing..."), console=console, transient=True
-        ):
             results = asyncio.run(
-                run_all_tickers(candidates, macro_context, config, analysis_date)
+                run_all_tickers(
+                    candidates, macro_context, config, analysis_date,
+                    on_ticker_done=on_done,
+                )
             )
         except Exception as e:
             console.print(f"[red]Pipeline failed: {e}[/red]")
             raise typer.Exit(1)
 
+    elapsed_total = _time.monotonic() - pipeline_start
+    console.print(
+        f"\n[bold green]All {len(candidates)} ticker(s) finished in {elapsed_total:.0f}s[/bold green]\n"
+    )
+
+
     save_results(results, macro_context, output_dir)
 
     # Write observability log

tradingagents/pipeline/macro_bridge.py

@@ -5,12 +5,14 @@ from __future__ import annotations
 import asyncio
 import json
 import logging
+import time
 from concurrent.futures import ThreadPoolExecutor
 from tradingagents.agents.utils.json_utils import extract_json
 from dataclasses import dataclass
 from datetime import datetime
 from pathlib import Path
-from typing import Literal
+from typing import Callable, Literal
+
 
 logger = logging.getLogger(__name__)
 
@@ -172,15 +174,6 @@ def run_ticker_analysis(
 
     NOTE: TradingAgentsGraph is synchronous — call this from a thread pool
     when running multiple tickers concurrently (see run_all_tickers).
-
-    Args:
-        candidate: The stock candidate to analyse.
-        macro_context: Macro context to embed in the result.
-        config: TradingAgents configuration dict.
-        analysis_date: Date string in YYYY-MM-DD format.
-
-    Returns:
-        TickerResult with all report fields populated, or error set on failure.
     """
     result = TickerResult(
         ticker=candidate.ticker,
@@ -189,11 +182,14 @@ def run_ticker_analysis(
         analysis_date=analysis_date,
     )
 
-    logger.info("Starting analysis for %s on %s", candidate.ticker, analysis_date)
+    t0 = time.monotonic()
+    logger.info(
+        "[%s] ▶ Starting analysis (%s, %s conviction)",
+        candidate.ticker, candidate.sector, candidate.conviction,
+    )
 
     try:
         from tradingagents.graph.trading_graph import TradingAgentsGraph
-
         from tradingagents.observability import get_run_logger
 
         rl = get_run_logger()
@@ -210,23 +206,31 @@ def run_ticker_analysis(
         result.risk_debate = str(final_state.get("risk_debate_state", ""))
         result.final_trade_decision = decision
 
+        elapsed = time.monotonic() - t0
         logger.info(
-            "Analysis complete for %s: %s", candidate.ticker, str(decision)[:120]
+            "[%s] ✓ Analysis complete in %.0fs — decision: %s",
+            candidate.ticker, elapsed, str(decision)[:80],
         )
 
     except Exception as exc:
-        logger.error("Analysis failed for %s: %s", candidate.ticker, exc, exc_info=True)
+        elapsed = time.monotonic() - t0
+        logger.error(
+            "[%s] ✗ Analysis FAILED after %.0fs: %s",
+            candidate.ticker, elapsed, exc, exc_info=True,
+        )
         result.error = str(exc)
 
     return result
 
 
+
 async def run_all_tickers(
     candidates: list[StockCandidate],
     macro_context: MacroContext,
     config: dict,
     analysis_date: str,
     max_concurrent: int = 2,
+    on_ticker_done: Callable[[TickerResult, int, int], None] | None = None,
 ) -> list[TickerResult]:
     """Run TradingAgents for every candidate with controlled concurrency.
 
@@ -239,28 +243,45 @@ async def run_all_tickers(
         config: TradingAgents configuration dict.
         analysis_date: Date string in YYYY-MM-DD format.
         max_concurrent: Maximum number of tickers to process in parallel.
+        on_ticker_done: Optional callback(result, done_count, total_count) fired
+            after each ticker finishes — use this to drive a progress bar.
 
     Returns:
         List of TickerResult in completion order.
     """
     loop = asyncio.get_running_loop()
-    executor = ThreadPoolExecutor(max_workers=max_concurrent)
+    total = len(candidates)
-    try:
+    results: list[TickerResult] = []
-        tasks = [
+
-            loop.run_in_executor(
+    # Use a semaphore so at most max_concurrent tickers run simultaneously,
-                executor,
+    # but we still get individual completion callbacks via as_completed.
+    semaphore = asyncio.Semaphore(max_concurrent)
+
+    async def _run_one(candidate: StockCandidate) -> TickerResult:
+        async with semaphore:
+            return await loop.run_in_executor(
+                None,  # use default ThreadPoolExecutor
                 run_ticker_analysis,
-                c,
+                candidate,
                 macro_context,
                 config,
                 analysis_date,
             )
-            for c in candidates
+
-        ]
+    tasks = [asyncio.create_task(_run_one(c)) for c in candidates]
-        results = await asyncio.gather(*tasks)
+    done_count = 0
-        return list(results)
+    for coro in asyncio.as_completed(tasks):
-    finally:
+        result = await coro
-        executor.shutdown(wait=False)
+        done_count += 1
+        results.append(result)
+        if on_ticker_done is not None:
+            try:
+                on_ticker_done(result, done_count, total)
+            except Exception:  # never let a callback crash the pipeline
+                pass
+
+    return results
+
 
 
 # ─── Reporting ────────────────────────────────────────────────────────────────