feat: create v2-prep branch with comprehensive planning

Restructured project for V2 refactor:

**Structure Changes:**
- Moved all V1 code to orig/ folder (preserved with git mv)
- Created docs/planning/ directory
- Added orig/README_V1.md explaining V1 preservation

**Planning Documents:**
- 00_V2_MASTER_PLAN.md: Complete architecture overview
  - Executive summary of critical V1 issues
  - High-level component architecture diagrams
  - 5-phase implementation roadmap
  - Success metrics and risk mitigation

- 07_TASK_BREAKDOWN.md: Atomic task breakdown
  - 99+ hours of detailed tasks
  - Every task < 2 hours (atomic)
  - Clear dependencies and success criteria
  - Organized by implementation phase

**V2 Key Improvements:**
- Per-exchange parsers (factory pattern)
- Multi-layer strict validation
- Multi-index pool cache
- Background validation pipeline
- Comprehensive observability

**Critical Issues Addressed:**
- Zero address tokens (strict validation + cache enrichment)
- Parsing accuracy (protocol-specific parsers)
- No audit trail (background validation channel)
- Inefficient lookups (multi-index cache)
- Stats disconnection (event-driven metrics)

Next Steps:
1. Review planning documents
2. Begin Phase 1: Foundation (P1-001 through P1-010)
3. Implement parsers in Phase 2
4. Build cache system in Phase 3
5. Add validation pipeline in Phase 4
6. Migrate and test in Phase 5

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

orig/pkg/uniswap/optimized_test.go

@@ -0,0 +1,50 @@
+package uniswap
+
+import (
+	"math/big"
+	"testing"
+
+	"github.com/holiman/uint256"
+	"github.com/stretchr/testify/assert"
+)
+
+func TestOptimizedFunctionAccuracy(t *testing.T) {
+	// Test SqrtPriceX96ToPrice vs SqrtPriceX96ToPriceOptimized
+	sqrtPriceX96 := new(big.Int)
+	sqrtPriceX96.SetString("79228162514264337593543950336", 10) // 2^96 (price = 1.0)
+
+	originalResult := SqrtPriceX96ToPrice(sqrtPriceX96)
+
+	sqrtPriceX96Uint256 := uint256.MustFromBig(sqrtPriceX96)
+	optimizedResult := SqrtPriceX96ToPriceOptimized(sqrtPriceX96Uint256)
+
+	// Compare the results
+	originalFloat, _ := originalResult.Float64()
+	optimizedFloat, _ := optimizedResult.Float64()
+
+	assert.InDelta(t, originalFloat, optimizedFloat, 0.0001, "SqrtPriceX96ToPrice and SqrtPriceX96ToPriceOptimized should produce similar results")
+}
+
+func TestPriceToSqrtPriceX96Accuracy(t *testing.T) {
+	// Test PriceToSqrtPriceX96 vs PriceToSqrtPriceX96Optimized
+	price := new(big.Float).SetFloat64(1.0)
+
+	originalResult := PriceToSqrtPriceX96(price)
+	optimizedResult := PriceToSqrtPriceX96Optimized(price)
+
+	// Compare the results
+	diff := new(big.Int).Sub(originalResult, optimizedResult.ToBig())
+	assert.True(t, diff.Cmp(big.NewInt(1000000000000)) < 0, "PriceToSqrtPriceX96 and PriceToSqrtPriceX96Optimized should produce similar results")
+}
+
+func TestTickToSqrtPriceX96Accuracy(t *testing.T) {
+	// Test TickToSqrtPriceX96 vs TickToSqrtPriceX96Optimized
+	tick := 100000
+
+	originalResult := TickToSqrtPriceX96(tick)
+	optimizedResult := TickToSqrtPriceX96Optimized(tick)
+
+	// Compare the results
+	diff := new(big.Int).Sub(originalResult, optimizedResult.ToBig())
+	assert.True(t, diff.Cmp(big.NewInt(1000000000000)) < 0, "TickToSqrtPriceX96 and TickToSqrtPriceX96Optimized should produce similar results")
+}