chore: prepare v1.1.0 release

Update version numbers across Rust, Python, and documentation files to 1.1.0. Enhance the .gitignore to include macOS dSYM files and plans directory. Introduce new dependencies in the Rust core library and update the README to reflect recent performance benchmarks and backtesting engine capabilities. Add new artifacts to the benchmarks manifest and improve documentation for the backtesting engine API.

python/ferro_ta/data/aggregation.py

@@ -39,6 +39,7 @@ from ferro_ta._ferro_ta import aggregate_tick_bars as _rust_tick_bars
 from ferro_ta._ferro_ta import aggregate_time_bars as _rust_time_bars
 from ferro_ta._ferro_ta import aggregate_volume_bars_ticks as _rust_volume_bars_ticks
 from ferro_ta._utils import _to_f64
+from ferro_ta.core.exceptions import FerroTAValueError
 
 __all__ = [
     "aggregate_ticks",
@@ -61,23 +62,25 @@ def _parse_rule(rule: str) -> tuple[str, float]:
     """
     parts = rule.split(":", 1)
     if len(parts) != 2:
-        raise ValueError(
+        raise FerroTAValueError(
             f"Invalid rule format: {rule!r}. "
             "Expected 'time:<seconds>', 'volume:<threshold>', or 'tick:<n>'."
         )
     bar_type = parts[0].lower().strip()
     if bar_type not in ("time", "volume", "tick"):
-        raise ValueError(
+        raise FerroTAValueError(
             f"Unknown bar type {bar_type!r}. Supported types: 'time', 'volume', 'tick'."
         )
     try:
         param = float(parts[1].strip())
     except ValueError as exc:
-        raise ValueError(
+        raise FerroTAValueError(
             f"Cannot parse parameter {parts[1]!r} as a number in rule {rule!r}."
         ) from exc
     if param <= 0:
-        raise ValueError(f"Rule parameter must be > 0, got {param} in rule {rule!r}.")
+        raise FerroTAValueError(
+            f"Rule parameter must be > 0, got {param} in rule {rule!r}."
+        )
     return bar_type, param
 
 
@@ -171,7 +174,9 @@ def aggregate_ticks(
         extra = None
     else:  # time
         if ts_arr is None:
-            raise ValueError("Time bars require a timestamp column in the tick data.")
+            raise FerroTAValueError(
+                "Time bars require a timestamp column in the tick data."
+            )
         period_secs = int(param)
         labels = (ts_arr // period_secs).astype(np.int64)
         ro, rh, rl, rc, rv, lbl = _rust_time_bars(price_arr, size_arr, labels)