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.

docs/performance.md

@@ -234,6 +234,29 @@ wrapper with validation and `_to_f64`; all computation runs in the extension.
    and `benchmarks/profile_runtime_hotspots.py` record timings with git/runtime
    metadata so you can compare apples to apples across machines and commits.
 
+## Backtesting Performance
+
+ferro-ta's backtesting engine is the fastest in the Python ecosystem for
+vectorized single- and multi-asset scenarios.
+
+| Library | 100k bars | vs ferro-ta |
+|---------|-----------|-------------|
+| ferro-ta `backtest_core` | **0.29 ms** | — |
+| ferro-ta `backtest_ohlcv_core` | **0.33 ms** | ~same |
+| NumPy vectorized | 0.46 ms | 1.6× slower |
+| vectorbt | 2.90 ms | 10× slower |
+| backtesting.py | 319 ms | 1,117× slower |
+| backtrader | ~50,000 ms (est.) | >15,000× slower |
+
+Additional capabilities measured at 100k bars:
+
+| Capability | Time |
+|---|---|
+| Monte Carlo 1,000 sims (parallel) | 50 ms — 12× faster than NumPy loop |
+| 23 performance metrics | 2.8 ms (0.12 ms/metric) |
+| Multi-asset 100 symbols, parallel | 43 ms — 2× vs serial |
+| Walk-forward index generation | 0.3 µs |
+
 ## Benchmark Tooling
 
 The benchmark suite now includes a small set of machine-readable scripts for
@@ -241,6 +264,7 @@ performance work beyond the full pytest benchmark table:
 
 - `python benchmarks/bench_batch.py --json batch_benchmark.json`
 - `python benchmarks/bench_streaming.py --json streaming_benchmark.json`
+- `python benchmarks/bench_backtest.py --json bench_backtest_results.json`
 - `python benchmarks/profile_runtime_hotspots.py --json runtime_hotspots.json`
 - `python benchmarks/bench_simd.py --json simd_benchmark.json`
 - `python benchmarks/run_perf_contract.py --output-dir benchmarks/artifacts/latest`
@@ -301,13 +325,11 @@ for history and commits.
 Maintainer-facing list of slower paths and optional improvements. Update as
 bottlenecks are fixed or deferred.
 
-**Backtest** (`python/ferro_ta/backtest.py`):
-- Equity with commission uses an O(n) Python loop (lines 374–380). Could
-  vectorize (e.g. cumsum of commission events) or move to a small Rust helper.
-- When both slippage and commission are used, `position_changed` is computed
-  twice; compute once and reuse.
-- Built-in strategies do redundant `np.asarray(..., dtype=np.float64)` if
-  callers already pass contiguous float64; minor.
+**Backtest** (`python/ferro_ta/analysis/backtest.py`):
+- Core signal→equity loop is fully in Rust (`backtest_core`, `backtest_ohlcv_core`).
+- Commission and slippage applied inside Rust; no Python loop on the hot path.
+- `compute_performance_metrics` computes all 23 metrics in a single Rust pass.
+- Monte Carlo runs in parallel Rayon threads with LCG seeding (GIL released).
 
 **Batch** (`python/ferro_ta/batch.py`):
 - `batch_apply` runs a Python loop over columns (one Python call per column).