diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 109960d3..24c638e4 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -17,31 +17,29 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Set up Python
-        uses: actions/setup-python@v5
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ matrix.python-version }}
+          enable-cache: true
 
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install -e .[dev]
+      - name: Sync dependencies
+        run: uv sync --extra dev
 
       - name: Lint
         run: |
-          ruff --version
-          ruff check .
-          black --check .
+          uv run ruff --version
+          uv run ruff check .
+          uv run black --check .
 
       - name: Type check
         run: |
-          mypy --version
-          mypy neural
+          uv run mypy --version
+          uv run mypy neural
 
       - name: Run tests
         env:
           KALSHI_EMAIL: ${{ secrets.KALSHI_EMAIL || '' }}
           KALSHI_PASSWORD: ${{ secrets.KALSHI_PASSWORD || '' }}
           KALSHI_API_BASE: ${{ secrets.KALSHI_API_BASE || 'https://api.elections.kalshi.com' }}
-        run: |
-          pytest -q
+        run: uv run pytest -q
diff --git a/.github/workflows/docs-enhanced.yml b/.github/workflows/docs-enhanced.yml
index a246ff12..36c5a268 100644
--- a/.github/workflows/docs-enhanced.yml
+++ b/.github/workflows/docs-enhanced.yml
@@ -40,7 +40,6 @@ on:
         type: boolean
 
 env:
-  NODE_VERSION: '18'
   PYTHON_VERSION: '3.11'
 
 jobs:
@@ -115,45 +114,29 @@ jobs:
       needs.detect-changes.outputs.docs-changed == 'true' || 
       needs.detect-changes.outputs.examples-changed == 'true' ||
       needs.detect-changes.outputs.config-changed == 'true'
-    outputs:
-      cache-hit: ${{ steps.cache.outputs.cache-hit }}
     steps:
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Set up Python
-        uses: actions/setup-python@v5
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ env.PYTHON_VERSION }}
-          cache: 'pip'
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: ${{ env.NODE_VERSION }}
+          enable-cache: true
 
-      - name: Cache Python dependencies
-        id: cache
-        uses: actions/cache@v3
+      - name: Set up Bun
+        uses: oven-sh/setup-bun@v2
         with:
-          path: ~/.cache/pip
-          key: ${{ runner.os }}-pip-${{ hashFiles('**/pyproject.toml') }}
-          restore-keys: |
-            ${{ runner.os }}-pip-
-
-      - name: Install Python dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install -e .[dev,docs]
+          bun-version: latest
 
-      - name: Install Mintlify CLI
-        run: npm install -g @mintlify/cli
+      - name: Sync Python dependencies
+        run: uv sync --extra dev --extra docs
 
       - name: Verify installations
         run: |
-          python --version
-          npm --version
-          mintlify --version
+          uv --version
+          bun --version
+          bunx @mintlify/cli@latest --version
 
   # Stage 3: API Documentation Generation
   generate-api-docs:
@@ -171,37 +154,36 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Set up Python
-        uses: actions/setup-python@v5
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ env.PYTHON_VERSION }}
+          enable-cache: true
 
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install -e .[dev,docs]
+      - name: Sync dependencies
+        run: uv sync --extra dev --extra docs
 
       - name: Generate API docs with mkdocstrings
         id: generate
         run: |
           mkdir -p docs/api
-          python scripts/generate_api_docs.py
+          uv run python scripts/generate_api_docs.py
           echo "generated=true" >> $GITHUB_OUTPUT
 
       - name: Generate OpenAPI specifications
         id: openapi
         run: |
-          python scripts/generate_openapi_specs.py
+          uv run python scripts/generate_openapi_specs.py
           echo "generated=true" >> $GITHUB_OUTPUT
 
       - name: Validate generated API docs
         run: |
           if [ -f "scripts/validate_api_docs.py" ]; then
-            python scripts/validate_api_docs.py
+            uv run python scripts/validate_api_docs.py
           else
             echo "validate_api_docs.py not found; skipping strict API docs validation"
             if [ -f "scripts/validate_docs.py" ]; then
-              python scripts/validate_docs.py || echo "validate_docs reported issues; continuing for advisory check"
+              uv run python scripts/validate_docs.py || echo "validate_docs reported issues; continuing for advisory check"
             fi
           fi
 
@@ -228,26 +210,25 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Set up Python
-        uses: actions/setup-python@v5
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ env.PYTHON_VERSION }}
+          enable-cache: true
 
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install -e .[dev,docs]
+      - name: Sync dependencies
+        run: uv sync --extra dev --extra docs
 
       - name: Generate examples documentation
         id: generate
         run: |
           mkdir -p docs/examples/generated
-          python scripts/generate_examples_docs.py
+          uv run python scripts/generate_examples_docs.py
           echo "generated=true" >> $GITHUB_OUTPUT
 
       - name: Validate examples
         run: |
-          python scripts/validate_examples.py
+          uv run python scripts/validate_examples.py
 
       - name: Upload examples documentation
         uses: actions/upload-artifact@v4
@@ -272,15 +253,14 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Set up Python
-        uses: actions/setup-python@v5
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ env.PYTHON_VERSION }}
+          enable-cache: true
 
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install -e .[dev,docs]
+      - name: Sync dependencies
+        run: uv sync --extra dev --extra docs
 
       - name: Download all generated docs
         uses: actions/download-artifact@v4
@@ -302,7 +282,7 @@ jobs:
       - name: Validate documentation structure
         id: validate
         run: |
-          if python scripts/validate_docs.py; then
+          if uv run python scripts/validate_docs.py; then
             echo "passed=true" >> $GITHUB_OUTPUT
           else
             echo "::warning::validate_docs reported issues; continuing as advisory check"
@@ -312,13 +292,13 @@ jobs:
       - name: Check documentation coverage
         id: coverage
         run: |
-          python scripts/check_docstring_coverage.py > coverage-report.txt
+          uv run python scripts/check_docstring_coverage.py > coverage-report.txt
           echo "report=coverage-report.txt" >> $GITHUB_OUTPUT
 
       - name: Test code examples
         run: |
           if [ -f "scripts/test_doc_examples.py" ]; then
-            python scripts/test_doc_examples.py || \
+            uv run python scripts/test_doc_examples.py || \
               echo "::warning::Documentation example tests reported issues; continuing as advisory check"
           else
             echo "::notice::scripts/test_doc_examples.py not found; skipping example tests"
@@ -327,7 +307,7 @@ jobs:
       - name: Check links and references
         run: |
           if [ -f "scripts/check_documentation_links.py" ]; then
-            python scripts/check_documentation_links.py || \
+            uv run python scripts/check_documentation_links.py || \
               echo "::warning::Documentation link checks reported issues; continuing as advisory check"
           else
             echo "::notice::scripts/check_documentation_links.py not found; skipping link checks"
@@ -355,13 +335,10 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
+      - name: Set up Bun
+        uses: oven-sh/setup-bun@v2
         with:
-          node-version: ${{ env.NODE_VERSION }}
-
-      - name: Install Mintlify CLI
-        run: npm install -g @mintlify/cli
+          bun-version: latest
 
       - name: Download generated docs
         uses: actions/download-artifact@v4
@@ -381,7 +358,7 @@ jobs:
         id: preview
         run: |
           # Create preview deployment
-          mintlify deploy --preview \
+          bunx @mintlify/cli@latest deploy --preview \
             --team neural-sdk \
             --key ${{ secrets.MINTLIFY_API_KEY }} \
             --branch ${{ github.head_ref }} \
@@ -446,13 +423,10 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
+      - name: Set up Bun
+        uses: oven-sh/setup-bun@v2
         with:
-          node-version: ${{ env.NODE_VERSION }}
-
-      - name: Install Mintlify CLI
-        run: npm install -g @mintlify/cli
+          bun-version: latest
 
       - name: Download generated docs
         uses: actions/download-artifact@v4
@@ -477,7 +451,7 @@ jobs:
       - name: Validate documentation before deployment
         run: |
           # Local validation
-          mintlify dev --no-open &
+          bunx @mintlify/cli@latest dev --no-open &
           DEV_PID=$!
           sleep 15
           
@@ -496,7 +470,7 @@ jobs:
         id: deploy
         run: |
           # Deploy to production
-          mintlify deploy \
+          bunx @mintlify/cli@latest deploy \
             --team neural-sdk \
             --key ${{ secrets.MINTLIFY_API_KEY }}
           
@@ -549,16 +523,25 @@ jobs:
     needs: deploy-production
     if: always() && needs.deploy-production.result == 'success'
     steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
+        with:
+          python-version: ${{ env.PYTHON_VERSION }}
+          enable-cache: true
+
       - name: Check documentation health
         run: |
           # Perform health checks on deployed documentation
-          python scripts/health_check.py --url https://neural-sdk.mintlify.app
+          uv run python scripts/health_check.py --url https://neural-sdk.mintlify.app
 
       - name: Update metrics
         run: |
           # Update documentation metrics and monitoring
           if [ -f "scripts/update_metrics.py" ]; then
-            python scripts/update_metrics.py
+            uv run python scripts/update_metrics.py
           else
             echo "update_metrics.py not found; skipping metrics update"
           fi
@@ -587,17 +570,23 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
 
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
+        with:
+          python-version: ${{ env.PYTHON_VERSION }}
+          enable-cache: true
+
       - name: Generate release documentation
         run: |
           if [ -f "scripts/generate_release_docs.py" ]; then
-            python scripts/generate_release_docs.py --version ${{ github.event.release.tag_name }}
+            uv run python scripts/generate_release_docs.py --version ${{ github.event.release.tag_name }}
           else
             echo "generate_release_docs.py not found; skipping release docs generation"
           fi
 
       - name: Update changelog
         run: |
-          python scripts/update_changelog.py --version ${{ github.event.release.tag_name }}
+          uv run --with gitpython python scripts/update_changelog.py --version ${{ github.event.release.tag_name }}
 
       - name: Commit release documentation
         run: |
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 9aedfe30..663c4ead 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -49,17 +49,16 @@ jobs:
               - 'README.md'
               - 'CHANGELOG.md'
 
-      - name: Set up Python
+      - name: Set up uv
         if: steps.changes.outputs.docs == 'true'
-        uses: actions/setup-python@v5
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: "3.11"
+          enable-cache: true
 
-      - name: Install dependencies
+      - name: Sync dependencies
         if: steps.changes.outputs.docs == 'true'
-        run: |
-          python -m pip install --upgrade pip
-          pip install -e .[dev,docs]
+        run: uv sync --extra dev --extra docs
 
       - name: Generate API docs with mkdocstrings
         if: steps.changes.outputs.docs == 'true'
@@ -73,7 +72,7 @@ jobs:
         if: steps.changes.outputs.docs == 'true'
         run: |
           mkdir -p docs/examples/generated
-          python scripts/generate_examples_docs.py
+          uv run python scripts/generate_examples_docs.py
 
       - name: Validate documentation links
         if: steps.changes.outputs.docs == 'true'
@@ -94,7 +93,7 @@ jobs:
         if: steps.changes.outputs.docs == 'true'
         run: |
           # Check for required sections in documentation
-          python scripts/validate_docs.py
+          uv run python scripts/validate_docs.py
 
       - name: Upload generated docs
         if: steps.changes.outputs.docs == 'true'
@@ -113,26 +112,25 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Set up Python
-        uses: actions/setup-python@v5
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: "3.11"
+          enable-cache: true
 
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install -e .[dev]
+      - name: Sync dependencies
+        run: uv sync --extra dev
 
       - name: Test examples syntax
         run: |
           for example in examples/*.py; do
             echo "Checking syntax of $example"
-            python -m py_compile "$example"
+            uv run python -m py_compile "$example"
           done
 
       - name: Validate example imports
         run: |
-          python -c "
+          uv run python -c "
           import ast
           import sys
           from pathlib import Path
@@ -163,8 +161,11 @@ jobs:
           name: generated-docs
           path: docs/
 
-      - name: Install Mintlify CLI
-        run: npm install -g @mintlify/cli
+      - name: Set up Bun
+        uses: oven-sh/setup-bun@v2
+
+      - name: Validate Mintlify CLI availability
+        run: bunx @mintlify/cli@latest --version
 
       - name: Validate Mintlify configuration
         run: |
@@ -178,7 +179,7 @@ jobs:
 
           # mintlify dev expects docs.json; run preview only when that layout exists.
           if [ -f "docs.json" ] || [ -f "docs/docs.json" ]; then
-            timeout 30s mintlify dev --no-open --port 3000 || \
+            timeout 30s bunx @mintlify/cli@latest dev --no-open --port 3000 || \
               echo "::warning::Documentation preview failed; continuing as advisory check"
           else
             echo "::notice::Skipping mintlify dev preview because docs.json is not present"
@@ -208,19 +209,15 @@ jobs:
           fetch-depth: 0
           token: ${{ secrets.GITHUB_TOKEN }}
 
-      - name: Set up Python
-        uses: actions/setup-python@v5
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: "3.11"
-
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install gitpython
+          enable-cache: true
 
       - name: Auto-update changelog
         run: |
-          python scripts/update_changelog.py
+          uv run --with gitpython python scripts/update_changelog.py
 
       - name: Commit changelog updates
         run: |
diff --git a/.github/workflows/pr-docs.yml b/.github/workflows/pr-docs.yml
index ab1a2d67..139deb97 100644
--- a/.github/workflows/pr-docs.yml
+++ b/.github/workflows/pr-docs.yml
@@ -34,32 +34,31 @@ jobs:
             readme:
               - 'README.md'
 
-      - name: Set up Python
+      - name: Set up uv
         if: steps.changes.outputs.code == 'true' || steps.changes.outputs.examples == 'true'
-        uses: actions/setup-python@v5
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: "3.11"
+          enable-cache: true
 
-      - name: Install dependencies
+      - name: Sync dependencies
         if: steps.changes.outputs.code == 'true' || steps.changes.outputs.examples == 'true'
-        run: |
-          python -m pip install --upgrade pip
-          pip install -e .[dev,docs]
+        run: uv sync --extra dev --extra docs
 
       - name: Check for docstring coverage
         if: steps.changes.outputs.code == 'true'
         run: |
-          python scripts/check_docstring_coverage.py
+          uv run python scripts/check_docstring_coverage.py
 
       - name: Validate example documentation
         if: steps.changes.outputs.examples == 'true'
         run: |
-          python scripts/validate_examples.py
+          uv run python scripts/validate_examples.py
 
       - name: Check for API documentation updates
         if: steps.changes.outputs.code == 'true'
         run: |
-          python scripts/validate_docs.py
+          uv run python scripts/validate_docs.py
 
       - name: Comment on PR
         if: always()
diff --git a/.github/workflows/security.yml b/.github/workflows/security.yml
index 439abf49..454996de 100644
--- a/.github/workflows/security.yml
+++ b/.github/workflows/security.yml
@@ -18,28 +18,26 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Set up Python
-        uses: actions/setup-python@v5
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: "3.11"
+          enable-cache: true
 
-      - name: Install pip-audit
-        run: |
-          python -m pip install --upgrade pip
-          pip install -e .[dev] pip-audit
+      - name: Export dependency graph for audit
+        run: uv export --extra dev --format requirements-txt -o requirements-dev.txt
 
       - name: Run pip-audit
         id: pip_audit
         continue-on-error: true
-        run: |
-          pip-audit -r requirements-dev.txt -f json -o pip-audit.json
+        run: uvx pip-audit -r requirements-dev.txt -f json -o pip-audit.json
 
       - name: Summarize dependency findings
         if: always()
         env:
           PIP_AUDIT_OUTCOME: ${{ steps.pip_audit.outcome }}
         run: |
-          python - <<'PY'
+          uv run python - <<'PY'
           import json
           import os
           from pathlib import Path
@@ -72,7 +70,6 @@ jobs:
                           f.write(f"| {pkg} | {ver} | {vuln} |\n")
                   else:
                       f.write("No known vulnerabilities found.\n")
-
           PY
           cat pip-audit-summary.md >> "$GITHUB_STEP_SUMMARY"
 
@@ -93,28 +90,23 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Set up Python
-        uses: actions/setup-python@v5
+      - name: Set up uv
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: "3.11"
-
-      - name: Install Bandit
-        run: |
-          python -m pip install --upgrade pip
-          pip install bandit
+          enable-cache: true
 
       - name: Run Bandit
         id: bandit
         continue-on-error: true
-        run: |
-          bandit -q -r neural -f json -o bandit.json
+        run: uvx --from bandit bandit -q -r neural -f json -o bandit.json
 
       - name: Summarize Bandit findings
         if: always()
         env:
           BANDIT_OUTCOME: ${{ steps.bandit.outcome }}
         run: |
-          python - <<'PY'
+          uv run python - <<'PY'
           import json
           import os
           from pathlib import Path
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index d8d524ea..265a461e 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,435 +1,107 @@
 # Contributing to Neural SDK
 
-This document provides guidelines and instructions for contributing to Neural SDK.
+This document provides the default contributor workflow for Neural SDK.
 
-## Table of Contents
-
-- [Code of Conduct](#code-of-conduct)
-- [Getting Started](#getting-started)
-- [Development Setup](#development-setup)
-- [Making Changes](#making-changes)
-- [Pull Request Process](#pull-request-process)
-- [Code Standards](#code-standards)
-- [Testing Guidelines](#testing-guidelines)
-- [Documentation](#documentation)
-
-## Code of Conduct
-
-This project adheres to a [Code of Conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code. Please report unacceptable behavior to contributors@neural-sdk.dev.
-
-## Getting Started
-
-### Prerequisites
+## Prerequisites
 
 - Python 3.10 or higher
 - Git
-- A Kalshi API account (for testing)
-
-### Development Setup
-
-1. **Fork the repository** on GitHub
-
-2. **Clone your fork**:
-   ```bash
-   git clone https://github.com/YOUR_USERNAME/neural.git
-   cd neural
-   ```
-
-3. **Add upstream remote**:
-   ```bash
-   git remote add upstream https://github.com/IntelIP/Neural.git
-   ```
-
-4. **Create virtual environment**:
-   ```bash
-   python -m venv venv
-   source venv/bin/activate  # On Windows: venv\Scripts\activate
-   ```
-
-5. **Install development dependencies**:
-   ```bash
-   pip install -e ".[dev]"
-   ```
-
-6. **Set up pre-commit hooks** (optional but recommended):
-   ```bash
-   pip install pre-commit
-   pre-commit install
-   ```
-
-## Making Changes
-
-### Branch Naming Convention
+- `uv`
+- A Kalshi API account when you need to exercise live-backed integrations
 
-Create a descriptive branch for your work:
+## Development Setup
 
-- `feature/your-feature-name` - New features
-- `fix/bug-description` - Bug fixes
-- `docs/what-you-document` - Documentation updates
-- `refactor/what-you-refactor` - Code refactoring
-- `test/what-you-test` - Adding or updating tests
-
-Example:
 ```bash
-git checkout -b feature/add-sentiment-strategy
-```
-
-### Commit Messages
-
-We follow [Conventional Commits](https://www.conventionalcommits.org/):
-
-```
-<type>(<scope>): <subject>
-
-<body>
-
-<footer>
-```
-
-**Types:**
-- `feat`: New feature
-- `fix`: Bug fix
-- `docs`: Documentation changes
-- `style`: Code style changes (formatting, etc.)
-- `refactor`: Code refactoring
-- `test`: Adding or updating tests
-- `chore`: Maintenance tasks
-
-**Examples:**
-```
-feat(strategies): Add sentiment analysis strategy
-
-Implement sentiment-based trading strategy using NLP
-on market descriptions and news feeds.
-
-Closes #42
-```
-
-```
-fix(auth): Handle expired token refresh correctly
-
-Previously, expired tokens would cause silent failures.
-Now properly catches and refreshes expired tokens.
-
-Fixes #123
+git clone https://github.com/YOUR_USERNAME/Neural.git
+cd Neural
+git remote add upstream https://github.com/IntelIP/Neural.git
+python -m pip install uv
+uv sync --extra dev
 ```
 
-### Keeping Your Fork Updated
-
-Before making changes, sync with upstream:
+Optional local tooling:
 
 ```bash
-git fetch upstream
-git checkout main
-git merge upstream/main
-git push origin main
-```
-
-## Pull Request Process
-
-### Before Submitting
-
-1. **Update your branch** with latest main:
-   ```bash
-   git fetch upstream
-   git rebase upstream/main
-   ```
-
-2. **Run tests**:
-   ```bash
-   pytest
-   ```
-
-3. **Run linting**:
-   ```bash
-   ruff check .
-   black --check .
-   ```
-
-4. **Run type checking**:
-   ```bash
-   mypy neural
-   ```
-
-5. **Update documentation** if needed
-
-### Submitting Pull Request
-
-1. **Push your branch**:
-   ```bash
-   git push origin feature/your-feature-name
-   ```
-
-2. **Create Pull Request** on GitHub
-
-3. **Fill out PR template** completely
-
-4. **Link related issues** using keywords:
-   - `Fixes #123`
-   - `Closes #456`
-   - `Resolves #789`
-
-### PR Review Process
-
-- Maintainers will review within 48 hours
-- Address review feedback by pushing new commits
-- Once approved, maintainers will merge
-- Don't force push after review starts
-
-## Code Standards
-
-### Python Style
-
-We follow [PEP 8](https://pep8.org/) with some modifications:
-
-- Line length: 100 characters (not 79)
-- Use `black` for formatting
-- Use `ruff` for linting
-- Use type hints where possible
-
-### Code Organization
-
-```python
-"""Module docstring describing purpose."""
-
-import standard_library
-import third_party
-import neural
-
-from neural.module import SpecificClass
-
-
-class MyClass:
-    """Class docstring."""
-
-    def __init__(self, param: str) -> None:
-        """Initialize with clear parameter descriptions."""
-        self.param = param
-
-    def method(self, arg: int) -> bool:
-        """Method docstring with Args and Returns."""
-        pass
+uv tool install pre-commit
+pre-commit install
 ```
 
-### Documentation Strings
-
-Use Google-style docstrings:
-
-```python
-def calculate_position_size(
-    capital: float,
-    edge: float,
-    kelly_fraction: float = 0.25
-) -> int:
-    """Calculate position size using Kelly Criterion.
-
-    Args:
-        capital: Available trading capital in dollars
-        edge: Expected edge (win_rate - loss_rate)
-        kelly_fraction: Fraction of Kelly to use (default: 0.25 for quarter Kelly)
+## Branching
 
-    Returns:
-        Position size in number of contracts
+Use descriptive branch names:
 
-    Raises:
-        ValueError: If capital is negative or kelly_fraction > 1
+- `feature/<name>` for new features
+- `fix/<name>` for bug fixes
+- `docs/<name>` for docs-only changes
+- `refactor/<name>` for internal cleanup
+- `test/<name>` for test updates
 
-    Example:
-        >>> calculate_position_size(10000, 0.05, 0.25)
-        125
-    """
-    if capital < 0:
-        raise ValueError("Capital must be positive")
+Example:
 
-    return int(capital * edge * kelly_fraction)
+```bash
+git checkout -b feature/add-paper-order-cli
 ```
 
-## Testing Guidelines
-
-### Writing Tests
+## Before Opening a Pull Request
 
-- Place tests in `tests/` directory
-- Mirror source structure: `neural/auth/client.py` → `tests/auth/test_client.py`
-- Use descriptive test names: `test_kelly_criterion_with_negative_capital_raises_error`
-
-### Test Structure
-
-```python
-import pytest
-from neural.risk import calculate_position_size
-
-
-class TestPositionSizing:
-    """Tests for position sizing functions."""
-
-    def test_kelly_criterion_basic(self):
-        """Test Kelly Criterion with standard inputs."""
-        result = calculate_position_size(10000, 0.05, 0.25)
-        assert result == 125
-
-    def test_kelly_criterion_negative_capital(self):
-        """Test that negative capital raises ValueError."""
-        with pytest.raises(ValueError, match="Capital must be positive"):
-            calculate_position_size(-1000, 0.05, 0.25)
-
-    @pytest.mark.parametrize("capital,edge,expected", [
-        (10000, 0.05, 125),
-        (5000, 0.10, 125),
-        (20000, 0.025, 125),
-    ])
-    def test_kelly_criterion_various_inputs(self, capital, edge, expected):
-        """Test Kelly Criterion with various input combinations."""
-        assert calculate_position_size(capital, edge, 0.25) == expected
-```
-
-### Running Tests
+Run the local quality gate from the repo root:
 
 ```bash
-# All tests
-pytest
-
-# Specific test file
-pytest tests/auth/test_client.py
-
-# Specific test
-pytest tests/auth/test_client.py::TestAuthClient::test_login
-
-# With coverage
-pytest --cov=neural --cov-report=html
-
-# Verbose output
-pytest -v
-
-# Stop on first failure
-pytest -x
+uv run ruff check .
+uv run black --check .
+uv run mypy neural
+uv run pytest
 ```
 
-## Documentation
-
-### Adding Documentation
-
-Documentation lives in `docs/` and uses Mintlify:
+If your change touches docs or examples, validate those paths too:
 
 ```bash
-docs/
-├── mint.json          # Configuration
-├── introduction.mdx   # Getting started
-├── authentication/    # Auth guides
-├── strategies/        # Strategy docs
-└── api-reference/     # API docs
+uv sync --extra dev --extra docs
+uv run python scripts/validate_docs.py
+uv run python scripts/validate_examples.py
 ```
 
-### Documentation Standards
-
-1. **Clear and concise** - Get to the point quickly
-2. **Include examples** - Show, don't just tell
-3. **Keep updated** - Update docs with code changes
-4. **Add links** - Cross-reference related content
-
-### Example Documentation
-
-```markdown
----
-title: "Kelly Criterion Position Sizing"
-description: "Calculate optimal position sizes using Kelly Criterion"
----
-
-## Overview
+## Pull Request Expectations
 
-The Kelly Criterion determines optimal position size based on edge and capital.
+- Rebase or merge from `main` before requesting review.
+- Update documentation when public behavior changes.
+- Add or update tests for functional changes.
+- Link the relevant GitHub issue or Linear ticket in the PR body.
 
-## Usage
+## Commit Messages
 
-```python
-from neural.risk import calculate_position_size
+We use Conventional Commits:
 
-size = calculate_position_size(
-    capital=10000,
-    edge=0.05,
-    kelly_fraction=0.25
-)
+- `feat:` new feature
+- `fix:` bug fix
+- `docs:` documentation change
+- `refactor:` internal refactor
+- `test:` test change
+- `chore:` maintenance work
 
-print(f"Suggested position: {size} contracts")
-```
-
-## Parameters
-
-- `capital` (float): Available trading capital
-- `edge` (float): Expected edge (0.05 = 5% edge)
-- `kelly_fraction` (float): Fraction of Kelly (0.25 = conservative)
-
-## Best Practices
+Example:
 
-1. Use quarter Kelly (0.25) or less for safety
-2. Recalculate position size as capital changes
-3. Consider correlation across positions
+```text
+feat(cli): add paper order command
 ```
 
-## Reporting Bugs
-
-### Before Reporting
-
-1. **Search existing issues** - Your bug may already be reported
-2. **Update to latest version** - Bug might be fixed
-3. **Verify it's a bug** - Not a usage question
+## Testing Notes
 
-### Bug Report Template
+Useful test commands:
 
-```markdown
-**Describe the bug**
-A clear description of what the bug is.
-
-**To Reproduce**
-Steps to reproduce:
-1. Initialize client with '...'
-2. Call method '....'
-3. See error
-
-**Expected behavior**
-What you expected to happen.
-
-**Actual behavior**
-What actually happened.
-
-**Code sample**
-\```python
-# Minimal code to reproduce
-from neural import ...
-\```
-
-**Environment**
-- OS: [e.g., macOS 13.0, Ubuntu 22.04]
-- Python version: [e.g., 3.11.4]
-- Neural SDK version: [e.g., 0.1.0]
-
-**Additional context**
-Any other relevant information.
+```bash
+uv run pytest
+uv run pytest tests/test_cli.py
+uv run pytest tests/test_cli.py -k doctor
+uv run pytest --cov=neural --cov-report=term-missing
 ```
 
-## Feature Requests
-
-We welcome feature ideas! Open an issue with:
-
-1. **Use case** - What problem does this solve?
-2. **Proposed solution** - How should it work?
-3. **Alternatives** - What other solutions did you consider?
-4. **Additional context** - Anything else we should know?
-
-## License
-
-By contributing, you agree that your contributions will be licensed under the MIT License.
-
-## Recognition
-
-Contributors are recognized in:
-- GitHub contributors page
-- Release notes
-- Project README (for significant contributions)
+## Documentation Layout
 
-## Questions?
+The SDK documentation lives in `docs/` and uses Mintlify. When you update docs automation or local docs checks, prefer Bun-based tooling for JavaScript CLI dependencies and `uv` for Python scripts.
 
-- **Documentation**: https://neural-sdk.mintlify.app
-- **Discussions**: https://github.com/IntelIP/Neural/discussions
-- **Email**: contributors@neural-sdk.dev
+## Questions
 
-Thank you for contributing to Neural SDK!
\ No newline at end of file
+- Documentation: https://neural-sdk.mintlify.app
+- Discussions: https://github.com/IntelIP/Neural/discussions
+- Email: contributors@neural-sdk.dev
diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md
index 4a34a50d..1a9f3fb5 100644
--- a/DEVELOPMENT.md
+++ b/DEVELOPMENT.md
@@ -1,567 +1,98 @@
 # Neural SDK Development Workflow
 
-**Version:** 0.3.0 (Beta)  
-**Repository:** https://github.com/IntelIP/Neural  
-**Maintainer:** Hudson Aikins, Neural Contributors
+**Repository:** https://github.com/IntelIP/Neural
 
----
-
-## 📋 Table of Contents
-
-1. [Branch Strategy](#branch-strategy)
-2. [Development Setup](#development-setup)
-3. [Creating Features](#creating-features)
-4. [Submitting Changes](#submitting-changes)
-5. [Release Process](#release-process)
-6. [Code Quality Standards](#code-quality-standards)
-7. [Troubleshooting](#troubleshooting)
-
----
-
-## 🌳 Branch Strategy
-
-### **Main Production Branch**
-
-```
-main (protected)
-  │
-  ├─ Always production-ready
-  ├─ Tagged with versions (v0.3.0, v0.4.0, etc.)
-  ├─ Requires PR review before merge
-  └─ CI/CD pipeline runs on all commits
-```
-
-### **Development Branches**
-
-#### Feature Branches
-```
-feature/short-description (from main)
-  │
-  ├─ Used for: New features, enhancements
-  ├─ Naming: feature/nba-markets, feature/historical-data
-  ├─ Create: git checkout -b feature/xxx
-  ├─ Review: Create PR against main
-  └─ Merge: After approval + tests pass
-```
-
-#### Bugfix Branches
-```
-bugfix/issue-number-description (from main)
-  │
-  ├─ Used for: Bug fixes
-  ├─ Naming: bugfix/123-type-errors, bugfix/456-import-fail
-  ├─ Create: git checkout -b bugfix/xxx
-  ├─ Review: Create PR against main
-  └─ Merge: After approval + tests pass
-```
-
-#### Release Branches (Optional)
-```
-release/vX.Y.Z (from main)
-  │
-  ├─ Used for: Release preparation, hot fixes
-  ├─ Naming: release/v0.4.0
-  ├─ Create: git checkout -b release/v0.4.0
-  ├─ Allowed commits: Version bumps, critical hot fixes only
-  └─ Merge: Back to main after release
-```
-
----
-
-## 🚀 Development Setup
-
-### **Local Setup**
+## Development Setup
 
 ```bash
-# Clone the repository
 git clone https://github.com/IntelIP/Neural.git
 cd Neural
-
-# Create virtual environment
-python -m venv venv
-source venv/bin/activate  # On Windows: venv\Scripts\activate
-
-# Install development dependencies
-pip install -e ".[dev]"
-
-# Install pre-commit hooks (optional but recommended)
-pip install pre-commit
-pre-commit install
+python -m pip install uv
+uv sync --extra dev
 ```
 
-### **Branch Tracking**
+Optional tooling:
 
 ```bash
-# Create local tracking of remote branches
-git fetch origin
-git branch -r  # View all remote branches
-
-# Checkout a feature branch from remote
-git checkout -b feature/xxx origin/feature/xxx
+uv tool install pre-commit
+pre-commit install
 ```
 
----
-
-## 💻 Creating Features
-
-### **1. Create Feature Branch**
+## Daily Workflow
 
 ```bash
-# Ensure main is up to date
 git checkout main
 git pull origin main
-
-# Create new feature branch
 git checkout -b feature/descriptive-name
 ```
 
-### **2. Implement Feature**
+Implement your changes, then run the local checks:
 
 ```bash
-# Make your changes
-edit file1.py
-edit file2.py
-
-# Check status
-git status
-
-# Stage changes
-git add file1.py file2.py
-
-# Or stage all changes
-git add -A
-```
-
-### **3. Commit Changes**
-
-```bash
-# Commit with descriptive message
-git commit -m "feat(module): add descriptive feature title
-
-- Detailed description of what was added
-- Why it was added
-- Any important notes"
-```
-
-**Commit Message Format:**
-- `feat:` - New feature
-- `fix:` - Bug fix
-- `docs:` - Documentation update
-- `refactor:` - Code refactoring
-- `test:` - Add/update tests
-- `chore:` - Maintenance tasks
-
-### **4. Code Quality Checks**
-
-```bash
-# Run linting
-python -m ruff check .
-
-# Auto-fix linting issues
-python -m ruff check . --fix
-
-# Format code
-python -m black .
-
-# Type checking
-python -m mypy neural/
-
-# Run tests
-python -m pytest -v
-
-# Check coverage
-python -m pytest --cov=neural --cov-report=term-missing
+uv run ruff check .
+uv run ruff check . --fix
+uv run black .
+uv run mypy neural/
+uv run pytest -v
+uv run pytest --cov=neural --cov-report=term-missing
 ```
 
-### **5. Push to Remote**
-
-```bash
-# Push feature branch
-git push origin feature/descriptive-name
-
-# Set upstream tracking (first time)
-git push -u origin feature/descriptive-name
-```
+## Pull Requests
 
----
+Create a pull request against `main` after:
 
-## 📤 Submitting Changes
+1. Syncing with the latest `main`
+2. Running lint, typecheck, and tests locally
+3. Updating docs for public behavior changes
+4. Adding tests for new logic or bug fixes
 
-### **Create Pull Request**
+Example:
 
 ```bash
-# From GitHub.com or using gh CLI:
-gh pr create --title "feat: descriptive title" \
-             --body "Description of changes..."
+gh pr create --title "feat: descriptive title" --body "Summary of changes"
 ```
 
-### **PR Template**
-
-```markdown
-## Summary
-Brief description of what this PR does.
-
-## Changes
-- Change 1
-- Change 2
-- Change 3
-
-## Testing
-How was this tested?
-- [ ] Unit tests added
-- [ ] Integration tests added
-- [ ] Manual testing (describe)
-
-## Related Issues
-Fixes #123
-Relates to #456
-
-## Checklist
-- [ ] Code follows style guidelines
-- [ ] Tests pass locally
-- [ ] New tests added for new features
-- [ ] Documentation updated
-- [ ] No breaking changes
-```
-
-### **Code Review Process**
-
-1. **Create PR** against `main`
-2. **Wait for CI/CD** - All checks must pass
-3. **Request review** from maintainers
-4. **Address feedback** - Make requested changes
-5. **Approve & Merge** - Squash or rebase as needed
-
-### **Branch Protection Rules**
-
-On `main` branch:
-- ✅ Require PR review before merge
-- ✅ Dismiss stale PR approvals
-- ✅ Require status checks to pass
-- ✅ Require branches to be up to date
-
----
-
-## 🏷️ Release Process
-
-### **Preparing a Release**
+## Release Preparation
 
 ```bash
-# 1. Create release branch from main
-git checkout -b release/v0.4.0
-
-# 2. Update version numbers
-# - Update pyproject.toml version = "0.4.0"
-# - Update neural/__init__.py __version__ = "0.4.0"
-# - Update .bumpversion.cfg current_version = 0.4.0
-
-# 3. Update CHANGELOG.md
-# - Add new version section
-# - Document all changes
-
-# 4. Commit changes
-git commit -m "chore(release): prepare v0.4.0 release"
-
-# 5. Create PR for review
-gh pr create --title "release: v0.4.0" \
-             --body "Release preparation PR"
+git checkout -b release/vX.Y.Z
+# update version metadata
+git commit -m "chore(release): prepare vX.Y.Z release"
+gh pr create --title "release: vX.Y.Z" --body "Release preparation"
 ```
 
-### **Publishing Release**
+After merge:
 
 ```bash
-# After PR merged to main, create tag
 git checkout main
 git pull origin main
-
-# Create annotated tag
-git tag -a v0.4.0 -m "Release v0.4.0"
-
-# Push tag (triggers PyPI publish workflow)
-git push origin v0.4.0
+git tag -a vX.Y.Z -m "Release vX.Y.Z"
+git push origin vX.Y.Z
 ```
 
-### **Verify Release**
+To verify a published package in a clean environment:
 
 ```bash
-# Check PyPI
-pip install neural-sdk==0.4.0
-
-# Verify version
-python -c "import neural; print(neural.__version__)"
-
-# Should output: 0.4.0
+uv venv .release-venv
+.release-venv\Scripts\python -m pip install neural-sdk==X.Y.Z
+.release-venv\Scripts\python -c "import neural; print(neural.__version__)"
 ```
 
----
-
-## 📊 Code Quality Standards
-
-### **Linting (Ruff)**
+## Quality Standards
 
-```bash
-# Check
-python -m ruff check neural/
-
-# Fix automatically
-python -m ruff check neural/ --fix
-```
+- Ruff for linting
+- Black for formatting
+- MyPy for typing
+- Pytest for tests
+- `uv` as the default Python workflow manager
 
-**Rules:**
-- Line length: 100 characters
-- Ignore: E501 (long lines handled by black)
-
-### **Formatting (Black)**
+## Quick Reference
 
 ```bash
-# Format all code
-python -m black .
+python -m pip install uv
+uv sync --extra dev
+uv run ruff check . --fix
+uv run black .
+uv run mypy neural
+uv run pytest
 ```
-
-**Standards:**
-- Line length: 100 characters
-- Target Python: 3.10+
-
-### **Type Checking (MyPy)**
-
-```bash
-# Run type checker
-python -m mypy neural/
-
-# Configurations in pyproject.toml
-```
-
-**Standards:**
-- Warn on missing types: true
-- Check untyped defs: true
-- No implicit optional: true
-
-### **Testing (Pytest)**
-
-```bash
-# Run all tests
-python -m pytest
-
-# Run specific test file
-python -m pytest tests/test_v030_features.py
-
-# Run with coverage
-python -m pytest --cov=neural
-
-# Run specific test
-python -m pytest tests/test_v030_features.py::TestHistoricalCandlesticks::test_fetch_historical_candlesticks_basic
-```
-
-**Standards:**
-- All tests must pass
-- Coverage should be ≥40%
-- Use pytest fixtures for setup/teardown
-- Mock external dependencies
-
-### **Minimum Quality Gate**
-
-Before submitting PR:
-
-```bash
-# Run all checks
-ruff check . --fix
-black .
-mypy neural/
-pytest -v --cov=neural
-
-# All must pass before PR submission
-```
-
----
-
-## 🔗 Git Workflow Examples
-
-### **Adding a Feature**
-
-```bash
-# 1. Start from clean main
-git checkout main
-git pull origin main
-
-# 2. Create feature branch
-git checkout -b feature/add-backtesting-viz
-
-# 3. Make changes and test
-edit neural/analysis/backtesting/engine.py
-python -m pytest tests/
-
-# 4. Commit with descriptive message
-git commit -m "feat(backtesting): add plotly visualization
-
-- Add plot_results() method to Backtester
-- Support multiple metrics visualization
-- Include confidence intervals"
-
-# 5. Push and create PR
-git push -u origin feature/add-backtesting-viz
-gh pr create
-```
-
-### **Fixing a Bug**
-
-```bash
-# 1. Create bugfix branch
-git checkout -b bugfix/123-signal-type-error
-
-# 2. Make fix
-edit neural/analysis/strategies/base.py
-
-# 3. Add test for fix
-edit tests/test_v030_features.py
-
-# 4. Verify fix
-python -m pytest tests/test_v030_features.py -v
-
-# 5. Commit and push
-git commit -m "fix(strategies): resolve Signal type constructor issue
-
-Fixes #123
-
-- Use signal_type, market_id, recommended_size params
-- Maintain backward compatibility with properties
-- Add tests for all constructor variants"
-
-git push -u origin bugfix/123-signal-type-error
-```
-
-### **Syncing with Main**
-
-```bash
-# If main has new commits while you're working
-git fetch origin
-git rebase origin/main  # or merge
-git push origin feature/xxx --force-with-lease  # only if rebased
-```
-
----
-
-## 🛠️ Troubleshooting
-
-### **Can't Push - Branch Not Updated**
-
-```bash
-# Solution: Fetch and merge latest main
-git fetch origin
-git merge origin/main
-
-# Then retry push
-git push origin feature/xxx
-```
-
-### **Accidentally Committed to Main**
-
-```bash
-# Move last commit to new branch
-git branch feature/oops
-git reset --hard HEAD~1
-git checkout feature/oops
-
-# Or just create PR from main if accidental commit is good
-```
-
-### **Need to Undo Changes**
-
-```bash
-# Undo uncommitted changes
-git checkout file.py
-
-# Undo last commit (keep changes staged)
-git reset --soft HEAD~1
-
-# Undo last commit (discard changes)
-git reset --hard HEAD~1
-```
-
-### **Merge Conflicts**
-
-```bash
-# When pulling or merging
-git status  # See conflicts
-
-# Edit conflicted files, then:
-git add file.py
-git commit -m "resolve: merge conflict"
-git push origin feature/xxx
-```
-
----
-
-## 📝 Commit Message Guidelines
-
-### **Good Examples**
-
-```
-feat(data_collection): add NBA market discovery with team parsing
-
-- Implement get_nba_games() with automatic team extraction
-- Add date parameter for filtering games
-- Handle playoff/regular season markets
-- Includes comprehensive tests
-
-Closes #234
-```
-
-```
-fix(order_manager): correct float to int conversion in order placement
-
-- Convert signal.size from fraction to contract count
-- Add null safety check for entry_price
-- Prevents type errors in order execution
-
-Fixes #567
-```
-
-### **Poor Examples**
-
-```
-updated code
-fixed stuff
-work in progress
-todo
-```
-
----
-
-## 🚀 Quick Reference
-
-```bash
-# Clone and setup
-git clone https://github.com/IntelIP/Neural.git && cd Neural
-python -m venv venv && source venv/bin/activate
-pip install -e ".[dev]"
-
-# Create feature
-git checkout -b feature/new-feature && git pull origin main
-
-# Before PR
-ruff check . --fix && black . && mypy neural && pytest
-
-# Push and PR
-git push -u origin feature/new-feature && gh pr create
-
-# Sync with main
-git fetch origin && git rebase origin/main
-
-# Update version for release
-# 1. Update pyproject.toml, neural/__init__.py, .bumpversion.cfg
-# 2. Update CHANGELOG.md
-# 3. git commit -m "chore(release): vX.Y.Z"
-# 4. git tag -a vX.Y.Z -m "Release vX.Y.Z"
-# 5. git push origin vX.Y.Z
-```
-
----
-
-## 📞 Questions?
-
-- Check [BRANCH_ANALYSIS.md](BRANCH_ANALYSIS.md) for branch history
-- Review [CHANGELOG.md](CHANGELOG.md) for version history
-- Open an issue on [GitHub](https://github.com/IntelIP/Neural/issues)
-
-Happy coding! 🚀
-
diff --git a/Makefile b/Makefile
index 17783474..60a615ed 100644
--- a/Makefile
+++ b/Makefile
@@ -8,37 +8,37 @@ help: ## Show this help message
 	@awk 'BEGIN {FS = ":.*?## "} /^[a-zA-Z_-]+:.*?## / {printf "  %-18s %s\n", $$1, $$2}' $(MAKEFILE_LIST)
 
 install: ## Install package
-	pip install -e .
+	uv sync
 
 install-dev: ## Install package with dev dependencies
-	pip install -e ".[dev,trading]"
+	uv sync --extra dev --extra trading --extra sentiment --extra analysis --extra deployment
 
 lint: ## Run linters
-	ruff check neural tests
-	ruff format --check neural tests
+	uv run ruff check neural tests
+	uv run ruff format --check neural tests
 
 format: ## Format code
-	ruff format neural tests
+	uv run ruff format neural tests
 
 type: ## Run type checker
-	mypy neural
+	uv run mypy neural
 
 test: ## Run tests
-	pytest tests/
+	uv run pytest tests/
 
 test-cov: ## Run tests with coverage
-	pytest tests/ --cov=neural --cov-report=term-missing
+	uv run pytest tests/ --cov=neural --cov-report=term-missing
 
 audit: ## Run quality gates for bug analysis
-	ruff check neural tests scripts utils
-	mypy neural
-	pytest tests/
+	uv run ruff check neural tests scripts utils
+	uv run mypy neural
+	uv run pytest tests/
 
 audit-security: ## Run static security scan (Bandit)
-	bandit -q -r neural
+	uv tool run bandit -q -r neural
 
 audit-deps: ## Run dependency vulnerability scan
-	pip-audit -r requirements-dev.txt
+	uv tool run pip-audit -r requirements-dev.txt
 
 clean: ## Clean build artifacts
 	rm -rf build dist neural.egg-info neural_sdk.egg-info *.egg-info
@@ -46,16 +46,16 @@ clean: ## Clean build artifacts
 	find . -type f -name "*.pyc" -delete
 
 build: clean ## Build package
-	python -m build
+	uv build
 
 check: build ## Check built package with twine
-	twine check dist/*
+	uv tool run twine check dist/*
 
 publish-testpypi: build check ## Publish to TestPyPI
-	twine upload --repository testpypi --non-interactive --skip-existing dist/*
+	uv tool run twine upload --repository testpypi --non-interactive --skip-existing dist/*
 
 publish: build check ## Publish to PyPI
-	twine upload --non-interactive --skip-existing dist/*
+	uv tool run twine upload --non-interactive --skip-existing dist/*
 
 bump-patch: ## Bump patch version (0.1.0 -> 0.1.1)
 	bump2version patch
diff --git a/README.md b/README.md
index be623701..be9f9239 100644
--- a/README.md
+++ b/README.md
@@ -1,176 +1,93 @@
 # Neural SDK
 
-[![PyPI version](https://badge.fury.io/py/neural-sdk.svg)](https://badge.fury.io/py/neural-sdk)
+[![PyPI version](https://badge.fury.io/py/neural-sdk.svg)](https://pypi.org/project/neural-sdk/)
 [![Python Versions](https://img.shields.io/pypi/pyversions/neural-sdk.svg)](https://pypi.org/project/neural-sdk/)
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
 
-Professional-grade SDK for algorithmic trading on prediction markets.
+Professional-grade SDK for algorithmic trading on prediction markets, built as the public surface of the Neural stack.
 
-[Documentation](https://neural-sdk.mintlify.app) • [Examples](./examples) • [Contributing](./CONTRIBUTING.md)
+[Documentation](https://neural-sdk.mintlify.app) | [Examples](./examples) | [Contributing](./CONTRIBUTING.md)
 
 ## Overview
 
-Neural SDK is a Python framework for building algorithmic trading strategies on prediction markets. It provides data collection, strategy development, backtesting, and trade execution with production-grade reliability.
+Neural SDK is the public Python control surface for market access, paper trading, provider discovery, and the CLI bridge consumed by the Neural TUI.
 
-All market data comes from Kalshi's live production API via RSA-authenticated requests, using the same infrastructure that powers their trading platform.
+## Install
 
-## Features
-
-- **Authentication**: RSA signature implementation for Kalshi API
-- **Historical Data**: Collect and analyze real trade data with cursor-based pagination
-- **Real-time Streaming**: REST API and FIX protocol support for live market data
-- **Strategy Framework**: Pre-built strategies (mean reversion, momentum, arbitrage)
-- **Risk Management**: Kelly Criterion, position sizing, stop-loss automation
-- **Backtesting Engine**: Test strategies on historical data before going live
-- **Order Execution**: Ultra-low latency FIX protocol integration (5-10ms)
-
-## Quick Start
-
-### Installation
+Using `uv`:
 
 ```bash
-pip install neural-sdk
-pip install "neural-sdk[trading]"  # with trading extras
+uv add neural-sdk
+uv add "neural-sdk[trading]"
 ```
 
-### Credentials Setup
-
-Create a `.env` file with your Kalshi credentials:
+Using `pip`:
 
 ```bash
-KALSHI_API_KEY_ID=your_api_key_id
-KALSHI_PRIVATE_KEY_BASE64=base64_encoded_private_key
-KALSHI_ENV=prod
-```
-
-The SDK automatically loads credentials from the `.env` file.
-
-## Usage
-
-### Authentication
-
-```python
-from neural.auth.http_client import KalshiHTTPClient
-
-client = KalshiHTTPClient()
-markets = client.get('/markets')
-print(f"Connected! Found {len(markets['markets'])} markets")
-```
-
-### Historical Data Collection
-
-```python
-from neural.data_collection.kalshi_historical import KalshiHistoricalDataSource
-from neural.data_collection.base import DataSourceConfig
-
-config = DataSourceConfig(
-    source_type="kalshi_historical",
-    ticker="NFLSUP-25-KCSF",
-    start_time="2024-01-01",
-    end_time="2024-12-31"
-)
-
-source = KalshiHistoricalDataSource(config)
-trades_data = []
-
-async def collect_trades():
-    async for trade in source.collect():
-        trades_data.append(trade)
-        if len(trades_data) >= 1000:
-            break
-
-import asyncio
-asyncio.run(collect_trades())
-print(f"Collected {len(trades_data)} trades")
+pip install neural-sdk
+pip install "neural-sdk[trading]"
 ```
 
-### Strategy Development
-
-```python
-from neural.analysis.strategies import MeanReversionStrategy
-from neural.analysis import Backtester
+## CLI Bridge
 
-strategy = MeanReversionStrategy(lookback_period=20, z_score_threshold=2.0)
-engine = Backtester(initial_capital=10000)
-results = engine.backtest(strategy, start_date="2024-01-01", end_date="2024-12-31")
+The base install ships a `neural` CLI intended to be the stable machine-readable bridge for the TypeScript Neural TUI.
 
-print(f"Total Return: {results['total_return']:.2%}")
-print(f"Sharpe Ratio: {results['sharpe_ratio']:.2f}")
+```bash
+neural doctor
+neural --json capabilities
+neural --json providers list
 ```
 
-### Trading
+Current bridge commands:
+- `doctor`
+- `capabilities`
+- `providers list`
+- `markets list`
+- `quote`
+- `positions`
+- `paper order`
+- `deployments list`
+- `deployments status`
+- `deployments logs`
+- `deployments stop`
+
+## Credentials
 
-```python
-from neural.trading.client import TradingClient
+Create a `.env` file with your Kalshi credentials:
 
-trader = TradingClient()
-order = trader.place_order(
-    ticker="NFLSUP-25-KCSF",
-    side="yes",
-    count=10,
-    price=52
-)
-print(f"Order placed: {order['order_id']}")
+```bash
+KALSHI_API_KEY_ID=your_api_key_id
+KALSHI_PRIVATE_KEY_BASE64=base64_encoded_private_key
+KALSHI_ENV=prod
 ```
 
-## Modules
-
-| Module | Description |
-|--------|-------------|
-| `neural.auth` | RSA authentication for Kalshi API |
-| `neural.data_collection` | Historical and real-time market data |
-| `neural.analysis.strategies` | Pre-built trading strategies |
-| `neural.analysis.backtesting` | Strategy testing framework |
-| `neural.analysis.risk` | Position sizing and risk management |
-| `neural.trading` | Order execution (REST + FIX) |
-
-## Examples
-
-See the [`examples/`](./examples) directory for working code samples:
+The SDK loads credentials from environment variables or your local secrets files.
 
-- `01_init_user.py` - Authentication setup
-- `stream_prices.py` - Real-time price streaming
-- `test_historical_sync.py` - Historical data collection
-- `05_mean_reversion_strategy.py` - Strategy implementation
-- `07_live_trading_bot.py` - Automated trading bot
-
-## Testing
+## Development
 
 ```bash
-pytest
-pytest --cov=neural tests/
+git clone https://github.com/IntelIP/Neural.git
+cd neural
+uv sync --extra dev --extra trading --extra sentiment --extra analysis --extra deployment
+uv run pytest
+uv run ruff check .
+uv run black --check .
 ```
 
-## Contributing
-
-1. Fork the repository
-2. Create a feature branch: `git checkout -b feature/amazing-feature`
-3. Make changes and add tests
-4. Run tests: `pytest`
-5. Commit: `git commit -m "Add amazing feature"`
-6. Push: `git push origin feature/amazing-feature`
-7. Open a Pull Request
-
-See [CONTRIBUTING.md](./CONTRIBUTING.md) for detailed guidelines.
-
-## Development Setup
+## Testing
 
 ```bash
-git clone https://github.com/IntelIP/Neural.git
-cd neural
-pip install -e ".[dev]"
-pytest
-ruff check .
-black --check .
+uv run pytest
+uv run pytest --cov=neural tests/
 ```
 
 ## Resources
 
-- **Documentation**: [neural-sdk.mintlify.app](https://neural-sdk.mintlify.app)
-- **Examples**: [examples/](./examples)
-- **Issues**: [GitHub Issues](https://github.com/IntelIP/Neural/issues)
-- **Discussions**: [GitHub Discussions](https://github.com/IntelIP/Neural/discussions)
+- Documentation: [neural-sdk.mintlify.app](https://neural-sdk.mintlify.app)
+- Examples: [examples/](./examples)
+- Issues: [GitHub Issues](https://github.com/IntelIP/Neural/issues)
+- Discussions: [GitHub Discussions](https://github.com/IntelIP/Neural/discussions)
 
 ## License
 
-This project is licensed under the MIT License - see [LICENSE](./LICENSE) file for details.
\ No newline at end of file
+This project is licensed under the MIT License. See [LICENSE](./LICENSE).
diff --git a/neural/__init__.py b/neural/__init__.py
index a09a8d3f..c75d98f3 100644
--- a/neural/__init__.py
+++ b/neural/__init__.py
@@ -1,40 +1,25 @@
-"""
-Neural SDK - Professional-grade SDK for algorithmic trading on prediction markets.
+"""Neural SDK public package surface."""
 
-This package provides tools for:
-- Authentication with Kalshi API
-- Historical and real-time market data collection
-- Trading strategy development and backtesting
-- Risk management and position sizing
-- Order execution via REST and FIX protocols
+from __future__ import annotations
 
-⚠️ BETA NOTICE: This package is in beta. Core features are stable, but advanced
-modules (sentiment analysis, FIX streaming) are experimental.
-"""
+import importlib
+import warnings
+from types import ModuleType
 
 __version__ = "0.4.0"
 __author__ = "Neural Contributors"
 __license__ = "MIT"
 
-import warnings
-from types import ModuleType
-from typing import Set  # noqa: UP035
-
-from . import analysis, auth, data_collection, exchanges, trading
-
-deployment: ModuleType | None
-try:
-    from . import deployment as deployment
-except ModuleNotFoundError as exc:
-    # Keep package importable when optional deployment deps (docker SDK) are absent.
-    if getattr(exc, "name", None) != "docker":
-        raise
-    deployment = None
+_OPTIONAL_SUBMODULES = {
+    "analysis",
+    "auth",
+    "data_collection",
+    "deployment",
+    "exchanges",
+    "trading",
+}
 
-# Track which experimental features have been used
 _experimental_features_used: set[str] = set()
-
-# Track if beta warning has been issued
 _beta_warning_issued = False
 
 
@@ -44,7 +29,7 @@ def _warn_experimental(feature: str, module: str | None = None) -> None:
         _experimental_features_used.add(feature)
         module_info = f" in {module}" if module else ""
         warnings.warn(
-            f"⚠️  {feature}{module_info} is experimental in Neural SDK Beta v{__version__}. "
+            f"{feature}{module_info} is experimental in Neural SDK Beta v{__version__}. "
             "Use with caution in production environments. "
             "See https://github.com/IntelIP/Neural#module-status for details.",
             UserWarning,
@@ -57,7 +42,7 @@ def _warn_beta() -> None:
     global _beta_warning_issued
     if not _beta_warning_issued:
         warnings.warn(
-            f"⚠️  Neural SDK Beta v{__version__} is in BETA. "
+            f"Neural SDK Beta v{__version__} is in beta. "
             "Core features are stable, but advanced modules are experimental. "
             "See https://github.com/IntelIP/Neural#module-status for details.",
             UserWarning,
@@ -66,16 +51,36 @@ def _warn_beta() -> None:
         _beta_warning_issued = True
 
 
-# Issue beta warning on import
-_warn_beta()
+def __getattr__(name: str) -> ModuleType:
+    if name not in _OPTIONAL_SUBMODULES:
+        raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
+
+    try:
+        module = importlib.import_module(f".{name}", __name__)
+    except ModuleNotFoundError as exc:
+        missing = getattr(exc, "name", None) or "unknown"
+        raise ModuleNotFoundError(
+            f"Neural SDK submodule {name!r} is unavailable because dependency {missing!r} is not installed. "
+            "Install the matching optional extra before importing it."
+        ) from exc
+
+    globals()[name] = module
+    return module
+
+
+def __dir__() -> list[str]:
+    return sorted(set(globals()) | _OPTIONAL_SUBMODULES)
+
+
 
 __all__ = [
     "__version__",
+    "analysis",
     "auth",
     "data_collection",
-    "analysis",
-    "trading",
+    "deployment",
     "exchanges",
-    "deployment",  # v0.4.0: Docker deployment module (experimental)
-    "_warn_experimental",  # For internal use by modules
+    "trading",
+    "_warn_experimental",
 ]
+
diff --git a/neural/__main__.py b/neural/__main__.py
new file mode 100644
index 00000000..a737890c
--- /dev/null
+++ b/neural/__main__.py
@@ -0,0 +1,4 @@
+from neural.cli import main
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/neural/analysis/__init__.py b/neural/analysis/__init__.py
index 086e0bed..58117328 100644
--- a/neural/analysis/__init__.py
+++ b/neural/analysis/__init__.py
@@ -1,17 +1,50 @@
-"""
-Neural SDK Analysis Stack
+"""Neural SDK analysis surface with lazy imports for optional modules."""
 
-A comprehensive framework for building, testing, and executing trading strategies
-with seamless integration to Kalshi markets and ESPN data.
-"""
+from __future__ import annotations
 
-from . import backtesting, execution, risk, sentiment, strategies
+import importlib
+from types import ModuleType
+
+_MODULE_EXPORTS = {
+    "backtesting": ".backtesting",
+    "execution": ".execution",
+    "risk": ".risk",
+    "sentiment": ".sentiment",
+    "strategies": ".strategies",
+}
+
+_ATTRIBUTE_EXPORTS = {
+    "Backtester": (".backtesting.engine", "Backtester"),
+    "OrderManager": (".execution.order_manager", "OrderManager"),
+    "Strategy": (".strategies.base", "Strategy"),
+    "Signal": (".strategies.base", "Signal"),
+    "kelly_criterion": (".risk.position_sizing", "kelly_criterion"),
+    "fixed_percentage": (".risk.position_sizing", "fixed_percentage"),
+    "edge_proportional": (".risk.position_sizing", "edge_proportional"),
+}
+
+
+def __getattr__(name: str) -> ModuleType | object:
+    module_name = _MODULE_EXPORTS.get(name)
+    if module_name is not None:
+        module = importlib.import_module(module_name, __name__)
+        globals()[name] = module
+        return module
+
+    target = _ATTRIBUTE_EXPORTS.get(name)
+    if target is None:
+        raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
+
+    module_name, attribute_name = target
+    module = importlib.import_module(module_name, __name__)
+    value = getattr(module, attribute_name)
+    globals()[name] = value
+    return value
+
+
+def __dir__() -> list[str]:
+    return sorted(set(globals()) | set(_MODULE_EXPORTS) | set(_ATTRIBUTE_EXPORTS))
 
-# Direct imports for commonly used classes
-from .backtesting.engine import Backtester
-from .execution.order_manager import OrderManager
-from .risk.position_sizing import edge_proportional, fixed_percentage, kelly_criterion
-from .strategies.base import Signal, Strategy
 
 __all__ = [
     "backtesting",
diff --git a/neural/analysis/strategies/__init__.py b/neural/analysis/strategies/__init__.py
index 8d0ea2eb..b09d0f5b 100644
--- a/neural/analysis/strategies/__init__.py
+++ b/neural/analysis/strategies/__init__.py
@@ -1,105 +1,129 @@
-"""
-Neural Analysis Strategies
+"""Neural Analysis strategies with lazy imports for optional strategy stacks."""
 
-Pre-built trading strategies for Kalshi sports markets.
-"""
+from __future__ import annotations
+
+import importlib
+from typing import Any
+
+_ATTRIBUTE_EXPORTS = {
+    "Strategy": (".base", "Strategy"),
+    "Signal": (".base", "Signal"),
+    "SignalType": (".base", "SignalType"),
+    "Position": (".base", "Position"),
+    "MeanReversionStrategy": (".mean_reversion", "MeanReversionStrategy"),
+    "SportsbookArbitrageStrategy": (".mean_reversion", "SportsbookArbitrageStrategy"),
+    "MomentumStrategy": (".momentum", "MomentumStrategy"),
+    "GameMomentumStrategy": (".momentum", "GameMomentumStrategy"),
+    "ArbitrageStrategy": (".arbitrage", "ArbitrageStrategy"),
+    "HighSpeedArbitrageStrategy": (".arbitrage", "HighSpeedArbitrageStrategy"),
+    "NewsBasedStrategy": (".news_based", "NewsBasedStrategy"),
+    "BreakingNewsStrategy": (".news_based", "BreakingNewsStrategy"),
+}
+
+
+def __getattr__(name: str) -> object:
+    if name == "STRATEGY_PRESETS":
+        presets = _strategy_presets()
+        globals()[name] = presets
+        return presets
+
+    target = _ATTRIBUTE_EXPORTS.get(name)
+    if target is None:
+        raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
+
+    module_name, attribute_name = target
+    module = importlib.import_module(module_name, __name__)
+    value = getattr(module, attribute_name)
+    globals()[name] = value
+    return value
+
+
+def __dir__() -> list[str]:
+    return sorted(set(globals()) | set(_ATTRIBUTE_EXPORTS) | {"STRATEGY_PRESETS"})
+
+
+def _strategy_presets() -> dict[str, dict[str, Any]]:
+    from .arbitrage import ArbitrageStrategy, HighSpeedArbitrageStrategy
+    from .mean_reversion import MeanReversionStrategy
+    from .momentum import GameMomentumStrategy, MomentumStrategy
+    from .news_based import NewsBasedStrategy
+
+    return {
+        "conservative": {
+            "class": MeanReversionStrategy,
+            "params": {
+                "divergence_threshold": 0.08,
+                "max_position_size": 0.05,
+                "stop_loss": 0.2,
+                "min_edge": 0.05,
+            },
+        },
+        "momentum": {
+            "class": MomentumStrategy,
+            "params": {
+                "lookback_periods": 10,
+                "momentum_threshold": 0.1,
+                "use_rsi": True,
+                "max_position_size": 0.1,
+            },
+        },
+        "arbitrage": {
+            "class": ArbitrageStrategy,
+            "params": {
+                "min_arbitrage_profit": 0.01,
+                "max_exposure_per_arb": 0.3,
+                "speed_priority": True,
+            },
+        },
+        "news": {
+            "class": NewsBasedStrategy,
+            "params": {
+                "sentiment_threshold": 0.65,
+                "news_decay_minutes": 30,
+                "min_social_volume": 100,
+            },
+        },
+        "aggressive": {
+            "class": GameMomentumStrategy,
+            "params": {
+                "event_window": 5,
+                "fade_blowouts": True,
+                "max_position_size": 0.2,
+                "min_edge": 0.02,
+            },
+        },
+        "high_frequency": {
+            "class": HighSpeedArbitrageStrategy,
+            "params": {"fixed_size": 100, "pre_calculate_size": True, "latency_threshold_ms": 50},
+        },
+    }
+
+
+def create_strategy(preset: str, **override_params: Any) -> object:
+    presets = _strategy_presets()
+    if preset not in presets:
+        raise ValueError(f"Unknown preset: {preset}. Choose from: {list(presets.keys())}")
+
+    preset_config = presets[preset]
+    strategy_class = preset_config["class"]
+    params = dict(preset_config["params"])
+    params.update(override_params)
+    return strategy_class(**params)
 
-from .arbitrage import ArbitrageStrategy, HighSpeedArbitrageStrategy
-from .base import Position, Signal, SignalType, Strategy
-from .mean_reversion import MeanReversionStrategy, SportsbookArbitrageStrategy
-from .momentum import GameMomentumStrategy, MomentumStrategy
-from .news_based import BreakingNewsStrategy, NewsBasedStrategy
 
 __all__ = [
-    # Base classes
     "Strategy",
     "Signal",
     "SignalType",
     "Position",
-    # Mean Reversion
     "MeanReversionStrategy",
     "SportsbookArbitrageStrategy",
-    # Momentum
     "MomentumStrategy",
     "GameMomentumStrategy",
-    # Arbitrage
     "ArbitrageStrategy",
     "HighSpeedArbitrageStrategy",
-    # News Based
     "NewsBasedStrategy",
     "BreakingNewsStrategy",
+    "STRATEGY_PRESETS",
+    "create_strategy",
 ]
-
-# Strategy presets for quick initialization
-STRATEGY_PRESETS = {
-    "conservative": {
-        "class": MeanReversionStrategy,
-        "params": {
-            "divergence_threshold": 0.08,
-            "max_position_size": 0.05,
-            "stop_loss": 0.2,
-            "min_edge": 0.05,
-        },
-    },
-    "momentum": {
-        "class": MomentumStrategy,
-        "params": {
-            "lookback_periods": 10,
-            "momentum_threshold": 0.1,
-            "use_rsi": True,
-            "max_position_size": 0.1,
-        },
-    },
-    "arbitrage": {
-        "class": ArbitrageStrategy,
-        "params": {
-            "min_arbitrage_profit": 0.01,
-            "max_exposure_per_arb": 0.3,
-            "speed_priority": True,
-        },
-    },
-    "news": {
-        "class": NewsBasedStrategy,
-        "params": {"sentiment_threshold": 0.65, "news_decay_minutes": 30, "min_social_volume": 100},
-    },
-    "aggressive": {
-        "class": GameMomentumStrategy,
-        "params": {
-            "event_window": 5,
-            "fade_blowouts": True,
-            "max_position_size": 0.2,
-            "min_edge": 0.02,
-        },
-    },
-    "high_frequency": {
-        "class": HighSpeedArbitrageStrategy,
-        "params": {"fixed_size": 100, "pre_calculate_size": True, "latency_threshold_ms": 50},
-    },
-}
-
-
-def create_strategy(preset: str, **override_params) -> Strategy:
-    """
-    Create a strategy from a preset with optional parameter overrides.
-
-    Args:
-        preset: Name of preset ('conservative', 'momentum', etc.)
-        **override_params: Parameters to override from preset
-
-    Returns:
-        Initialized strategy instance
-
-    Example:
-        >>> strategy = create_strategy('conservative', initial_capital=5000)
-    """
-    if preset not in STRATEGY_PRESETS:
-        raise ValueError(f"Unknown preset: {preset}. Choose from: {list(STRATEGY_PRESETS.keys())}")
-
-    preset_config = STRATEGY_PRESETS[preset]
-    strategy_class = preset_config["class"]  # type: ignore[index]
-    params = dict(preset_config["params"])  # type: ignore[index,arg-type]
-
-    # Apply overrides
-    params.update(override_params)
-
-    return strategy_class(**params)  # type: ignore[return-value,operator]
diff --git a/neural/analysis/strategies/base.py b/neural/analysis/strategies/base.py
index cda1f06d..16dc55a3 100644
--- a/neural/analysis/strategies/base.py
+++ b/neural/analysis/strategies/base.py
@@ -5,14 +5,17 @@
 backtesting support, and seamless integration with the trading stack.
 """
 
+from __future__ import annotations
+
 from abc import ABC, abstractmethod
 from dataclasses import dataclass
 from datetime import datetime
 from enum import Enum
-from typing import Any
+from typing import TYPE_CHECKING, Any
 
-import numpy as np
-import pandas as pd
+if TYPE_CHECKING:
+    import numpy as np
+    import pandas as pd
 
 
 @dataclass
@@ -221,7 +224,7 @@ def calculate_fees(self, price: float, size: int) -> float:
         # Kalshi fee formula: 0.07 × P × (1 - P) × contracts
         return 0.07 * price * (1 - price) * size
 
-    def should_close_position(self, position: "Position") -> bool:
+    def should_close_position(self, position: Position) -> bool:
         """
         Check if position should be closed based on stop loss or take profit.
 
@@ -358,6 +361,9 @@ def get_performance_metrics(self) -> dict[str, float]:
         if not self.trade_history:
             return {}
 
+        import numpy as np
+        import pandas as pd
+
         trades = pd.DataFrame(self.trade_history)
         returns = np.array(trades["pnl"].values)
 
@@ -381,6 +387,8 @@ def get_performance_metrics(self) -> dict[str, float]:
 
     def _calculate_max_drawdown(self, returns: np.ndarray) -> float:
         """Calculate maximum drawdown"""
+        import numpy as np
+
         cumulative = np.cumsum(returns)
         running_max = np.maximum.accumulate(cumulative)
         drawdown = cumulative - running_max
diff --git a/neural/cli.py b/neural/cli.py
new file mode 100644
index 00000000..e263dfae
--- /dev/null
+++ b/neural/cli.py
@@ -0,0 +1,546 @@
+from __future__ import annotations
+
+import argparse
+import asyncio
+import importlib.util
+import json
+import logging
+import math
+import os
+import platform
+import shutil
+import sys
+from dataclasses import asdict, is_dataclass
+from datetime import date, datetime, timezone
+from typing import Any
+
+LOGGER = logging.getLogger(__name__)
+
+CLI_COMMANDS = [
+    "doctor",
+    "capabilities",
+    "providers list",
+    "markets list",
+    "quote",
+    "positions",
+    "paper order",
+    "deployments list",
+    "deployments status",
+    "deployments logs",
+    "deployments stop",
+]
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = _build_parser()
+    args = parser.parse_args(argv)
+    json_output = bool(args.json)
+
+    if not hasattr(args, "handler"):
+        if json_output:
+            _emit_error(
+                ValueError("Missing sub-command. Run 'neural --help' for usage."),
+                json_output=True,
+            )
+        else:
+            parser.print_help()
+        return 1
+
+    try:
+        payload = args.handler(args)
+        _emit_success(payload, json_output=json_output, formatter=getattr(args, "formatter", None))
+        return 0
+    except Exception as exc:
+        _emit_error(exc, json_output=json_output)
+        return 1
+
+
+def _build_parser() -> argparse.ArgumentParser:
+    parser = argparse.ArgumentParser(prog="neural", description="Neural SDK command line interface")
+    parser.add_argument("--json", action="store_true", help="Emit machine-readable JSON output")
+    subparsers = parser.add_subparsers(dest="command")
+
+    doctor_parser = subparsers.add_parser("doctor", help="Inspect local Neural environment health")
+    doctor_parser.set_defaults(handler=_handle_doctor, formatter=_format_doctor)
+
+    capabilities_parser = subparsers.add_parser(
+        "capabilities", help="Describe CLI, provider, and paper-trading capabilities"
+    )
+    capabilities_parser.set_defaults(handler=_handle_capabilities, formatter=_format_capabilities)
+
+    providers_parser = subparsers.add_parser("providers", help="Inspect deployment providers")
+    providers_subparsers = providers_parser.add_subparsers(dest="providers_command")
+    providers_list_parser = providers_subparsers.add_parser("list", help="List discovered providers")
+    providers_list_parser.set_defaults(handler=_handle_providers_list, formatter=_format_providers)
+
+    markets_parser = subparsers.add_parser("markets", help="Query Neural market data")
+    markets_subparsers = markets_parser.add_subparsers(dest="markets_command")
+    markets_list_parser = markets_subparsers.add_parser("list", help="List Kalshi markets")
+    markets_list_parser.add_argument("--limit", type=int, default=10)
+    markets_list_parser.add_argument("--category")
+    markets_list_parser.add_argument("--status", default="open")
+    markets_list_parser.set_defaults(handler=_handle_markets_list, formatter=_format_markets)
+
+    quote_parser = subparsers.add_parser("quote", help="Fetch a market quote")
+    quote_parser.add_argument("market_id")
+    quote_parser.set_defaults(handler=_handle_quote, formatter=_format_quote)
+
+    positions_parser = subparsers.add_parser("positions", help="Fetch account positions")
+    positions_parser.set_defaults(handler=_handle_positions, formatter=_format_positions)
+
+    paper_parser = subparsers.add_parser("paper", help="Execute paper-trading commands")
+    paper_subparsers = paper_parser.add_subparsers(dest="paper_command")
+    paper_order_parser = paper_subparsers.add_parser("order", help="Place a paper order")
+    paper_order_parser.add_argument("--market-id", required=True)
+    paper_order_parser.add_argument("--side", required=True, choices=["yes", "no"])
+    paper_order_parser.add_argument("--quantity", required=True, type=int)
+    paper_order_parser.add_argument("--order-type", default="market", choices=["market", "limit"])
+    paper_order_parser.add_argument("--price", type=float)
+    paper_order_parser.add_argument("--initial-capital", type=float, default=10000.0)
+    paper_order_parser.add_argument("--data-dir", default="paper_trading_data")
+    paper_order_parser.set_defaults(handler=_handle_paper_order, formatter=_format_paper_order)
+
+    deployments_parser = subparsers.add_parser("deployments", help="Inspect runtime deployments")
+    deployments_parser.add_argument("--provider", default=os.getenv("NEURAL_DEPLOYMENT_PROVIDER"))
+    deployments_parser.add_argument("--workspace-name", default=os.getenv("NEURAL_DAYTONA_WORKSPACE"))
+    deployments_parser.add_argument("--runner-image", default=os.getenv("NEURAL_DAYTONA_IMAGE"))
+    deployments_parser.add_argument("--project-name", default="neural")
+    deployments_parser.add_argument("--environment", default="paper")
+    deployments_parser.add_argument("--daytona-binary", default=os.getenv("NEURAL_DAYTONA_BINARY"))
+    deployments_subparsers = deployments_parser.add_subparsers(dest="deployments_command")
+
+    deployments_list_parser = deployments_subparsers.add_parser("list", help="List deployments")
+    deployments_list_parser.set_defaults(handler=_handle_deployments_list, formatter=_format_deployments)
+
+    deployments_status_parser = deployments_subparsers.add_parser("status", help="Get deployment status")
+    deployments_status_parser.add_argument("deployment_id")
+    deployments_status_parser.set_defaults(
+        handler=_handle_deployments_status, formatter=_format_deployment_status
+    )
+
+    deployments_logs_parser = deployments_subparsers.add_parser("logs", help="Fetch deployment logs")
+    deployments_logs_parser.add_argument("deployment_id")
+    deployments_logs_parser.add_argument("--tail", type=int, default=50)
+    deployments_logs_parser.set_defaults(
+        handler=_handle_deployments_logs, formatter=_format_deployment_logs
+    )
+
+    deployments_stop_parser = deployments_subparsers.add_parser("stop", help="Stop a deployment")
+    deployments_stop_parser.add_argument("deployment_id")
+    deployments_stop_parser.set_defaults(
+        handler=_handle_deployments_stop, formatter=_format_deployment_stop
+    )
+
+    return parser
+
+
+def _handle_doctor(_: argparse.Namespace) -> dict[str, Any]:
+    providers = _safe_list_providers()
+    return {
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+        "python": {
+            "version": platform.python_version(),
+            "implementation": platform.python_implementation(),
+        },
+        "credentials": {
+            "kalshi_api_key_id": bool(os.getenv("KALSHI_API_KEY_ID")),
+            "kalshi_private_key_base64": bool(os.getenv("KALSHI_PRIVATE_KEY_BASE64")),
+            "kalshi_private_key_path": bool(os.getenv("KALSHI_PRIVATE_KEY_PATH")),
+            "kalshi_env": os.getenv("KALSHI_ENV", "prod"),
+        },
+        "tooling": {
+            "uv_available": shutil.which("uv") is not None,
+            "bun_available": shutil.which("bun") is not None,
+            "daytona_cli_available": shutil.which("daytona") is not None,
+            "installed_modules": {
+                "kalshi_python": _module_available("kalshi_python"),
+                "textblob": _module_available("textblob"),
+                "vaderSentiment": _module_available("vaderSentiment"),
+                "daytona": _module_available("daytona"),
+                "docker": _module_available("docker"),
+            },
+        },
+        "providers": providers,
+        "commands": CLI_COMMANDS,
+    }
+
+
+def _handle_capabilities(_: argparse.Namespace) -> dict[str, Any]:
+    providers = _safe_list_providers()
+    return {
+        "cli": {
+            "commands": CLI_COMMANDS,
+            "json_envelope": {
+                "success": {"ok": True, "data": "..."},
+                "error": {"ok": False, "error": {"code": "...", "message": "..."}},
+            },
+        },
+        "trading": {
+            "paper_first": True,
+            "live_trading": False,
+            "market_read": True,
+            "positions_read": True,
+            "paper_order": True,
+        },
+        "platform": {
+            "providers": providers,
+            "private_provider_installed": "daytona" in providers,
+            "daytona_sdk_available": _module_available("daytona"),
+            "daytona_cli_available": shutil.which("daytona") is not None,
+            "gated_modes": ["deployments", "runtime-logs"],
+            "deployment_controls": ["list", "status", "logs", "stop"],
+        },
+    }
+
+
+def _handle_providers_list(_: argparse.Namespace) -> dict[str, Any]:
+    providers = _safe_list_providers()
+    return {"providers": providers, "count": len(providers)}
+
+
+def _handle_markets_list(args: argparse.Namespace) -> dict[str, Any]:
+    KalshiHTTPClient = _get_kalshi_http_client_class()
+
+    params: dict[str, Any] = {"limit": args.limit, "status": args.status}
+    if args.category:
+        params["category"] = args.category
+
+    with KalshiHTTPClient() as client:
+        payload = client.get("/markets", params=params)
+
+    rows = payload.get("markets", [])
+    normalized = [
+        {
+            "ticker": row.get("ticker"),
+            "title": row.get("title") or row.get("name"),
+            "status": row.get("status"),
+            "yes_ask": row.get("yes_ask"),
+            "no_ask": row.get("no_ask"),
+            "volume": row.get("volume"),
+        }
+        for row in rows
+        if isinstance(row, dict)
+    ]
+    return {"markets": normalized, "count": len(normalized)}
+
+
+def _handle_quote(args: argparse.Namespace) -> dict[str, Any]:
+    KalshiHTTPClient = _get_kalshi_http_client_class()
+
+    with KalshiHTTPClient() as client:
+        payload = client.get(f"/markets/{args.market_id}")
+
+    market = payload.get("market", payload)
+    return {
+        "market_id": market.get("ticker") or market.get("id") or args.market_id,
+        "title": market.get("title") or market.get("name"),
+        "yes_bid": market.get("yes_bid"),
+        "yes_ask": market.get("yes_ask"),
+        "no_bid": market.get("no_bid"),
+        "no_ask": market.get("no_ask"),
+        "last_price": market.get("last_price") or market.get("yes_price"),
+        "volume": market.get("volume"),
+        "status": market.get("status"),
+        "raw": market,
+    }
+
+
+def _handle_positions(_: argparse.Namespace) -> dict[str, Any]:
+    KalshiHTTPClient = _get_kalshi_http_client_class()
+
+    with KalshiHTTPClient() as client:
+        payload = client.get("/portfolio/positions")
+
+    positions = payload.get("positions", payload if isinstance(payload, list) else [])
+    normalized = [
+        {
+            "market_id": row.get("market_id") or row.get("ticker"),
+            "side": row.get("side"),
+            "quantity": row.get("quantity") or row.get("count"),
+            "entry_price": row.get("avg_price") or row.get("entry_price"),
+            "current_price": row.get("current_price"),
+            "unrealized_pnl": row.get("unrealized_pnl"),
+        }
+        for row in positions
+        if isinstance(row, dict)
+    ]
+    return {"positions": normalized, "count": len(normalized)}
+
+
+def _handle_paper_order(args: argparse.Namespace) -> dict[str, Any]:
+    PaperTradingClient = _get_paper_trading_client_class()
+
+    client = PaperTradingClient(
+        initial_capital=args.initial_capital,
+        save_trades=False,
+        data_dir=args.data_dir,
+    )
+    if args.price is not None:
+        client.update_market_price(args.market_id, args.side, args.price)
+
+    result = asyncio.run(
+        client.place_order(
+            market_id=args.market_id,
+            side=args.side,
+            quantity=args.quantity,
+            order_type=args.order_type,
+            price=args.price,
+        )
+    )
+    return {"order": _serialize(result), "portfolio": client.get_portfolio()}
+
+
+def _handle_deployments_list(args: argparse.Namespace) -> dict[str, Any]:
+    provider_name, provider = _build_provider(args)
+    data = asyncio.run(provider.list_deployments())
+    return {
+        "provider": provider_name,
+        "deployments": [_serialize(item) for item in data],
+        "count": len(data),
+    }
+
+
+def _handle_deployments_status(args: argparse.Namespace) -> dict[str, Any]:
+    provider_name, provider = _build_provider(args)
+    status = asyncio.run(provider.status(args.deployment_id))
+    return {"provider": provider_name, "deployment": _serialize(status)}
+
+
+def _handle_deployments_logs(args: argparse.Namespace) -> dict[str, Any]:
+    provider_name, provider = _build_provider(args)
+    logs = asyncio.run(provider.logs(args.deployment_id, tail=args.tail))
+    return {"provider": provider_name, "deployment_id": args.deployment_id, "logs": logs}
+
+
+def _handle_deployments_stop(args: argparse.Namespace) -> dict[str, Any]:
+    provider_name, provider = _build_provider(args)
+    stopped = asyncio.run(provider.stop(args.deployment_id))
+    return {"provider": provider_name, "deployment_id": args.deployment_id, "stopped": bool(stopped)}
+
+
+def _build_provider(args: argparse.Namespace) -> tuple[str, Any]:
+    provider_name = _resolve_provider_name(getattr(args, "provider", None))
+    kwargs: dict[str, Any] = {}
+    for source, dest in (
+        ("workspace_name", "workspace_name"),
+        ("runner_image", "runner_image"),
+        ("project_name", "project_name"),
+        ("environment", "environment"),
+        ("daytona_binary", "daytona_binary"),
+    ):
+        value = getattr(args, source, None)
+        if value:
+            kwargs[dest] = value
+    return provider_name, _create_provider(provider_name, **kwargs)
+
+
+def _resolve_provider_name(explicit_provider: str | None) -> str:
+    if explicit_provider:
+        return explicit_provider
+
+    providers = _safe_list_providers()
+    if "daytona" in providers:
+        return "daytona"
+    if "docker" in providers:
+        return "docker"
+    if len(providers) == 1:
+        return providers[0]
+    if not providers:
+        raise RuntimeError(
+            "No deployment providers discovered. Install a provider plugin or pass --provider explicitly."
+        )
+    raise RuntimeError(
+        "Multiple deployment providers discovered. Pass --provider explicitly: "
+        + ", ".join(providers)
+    )
+
+
+def _safe_list_providers() -> list[str]:
+    try:
+        from neural.deployment import list_providers
+
+        return list_providers()
+    except Exception as exc:
+        LOGGER.debug("Provider discovery failed", exc_info=exc)
+        return []
+
+
+def _create_provider(provider_name: str, **kwargs: Any) -> Any:
+    from neural.deployment import create_provider
+
+    return create_provider(provider_name, **kwargs)
+
+
+def _get_kalshi_http_client_class() -> Any:
+    from neural.auth.http_client import KalshiHTTPClient
+
+    return KalshiHTTPClient
+
+
+def _get_paper_trading_client_class() -> Any:
+    from neural.trading.paper_client import PaperTradingClient
+
+    return PaperTradingClient
+
+
+def _module_available(name: str) -> bool:
+    return importlib.util.find_spec(name) is not None
+
+
+def _serialize(value: Any) -> Any:
+    if is_dataclass(value):
+        return _serialize(asdict(value))
+    if hasattr(value, "model_dump"):
+        return _serialize(value.model_dump())
+    if isinstance(value, float):
+        return value if math.isfinite(value) else None
+    if isinstance(value, (date, datetime)):
+        return value.isoformat()
+    if isinstance(value, dict):
+        return {key: _serialize(item) for key, item in value.items()}
+    if isinstance(value, (list, tuple)):
+        return [_serialize(item) for item in value]
+    return value
+
+
+def _emit_success(payload: dict[str, Any], *, json_output: bool, formatter: Any) -> None:
+    if json_output:
+        print(json.dumps({"ok": True, "data": _serialize(payload)}, indent=2, sort_keys=True))
+        return
+    if formatter:
+        print(formatter(payload))
+        return
+    print(payload)
+
+
+def _emit_error(exc: Exception, *, json_output: bool) -> None:
+    if json_output:
+        print(
+            json.dumps(
+                {
+                    "ok": False,
+                    "error": {
+                        "code": exc.__class__.__name__,
+                        "message": str(exc),
+                    },
+                },
+                indent=2,
+                sort_keys=True,
+            )
+        )
+        return
+    print(f"error: {exc}", file=sys.stderr)
+
+
+def _format_doctor(payload: dict[str, Any]) -> str:
+    installed = payload["tooling"]["installed_modules"]
+    providers = ", ".join(payload["providers"]) or "(none)"
+    return "\n".join(
+        [
+            f"Neural doctor @ {payload['timestamp']}",
+            f"Python: {payload['python']['version']} ({payload['python']['implementation']})",
+            "Credentials:",
+            f"  Kalshi API key present: {payload['credentials']['kalshi_api_key_id']}",
+            f"  Private key present: {payload['credentials']['kalshi_private_key_base64'] or payload['credentials']['kalshi_private_key_path']}",
+            "Tooling:",
+            f"  uv={payload['tooling']['uv_available']} bun={payload['tooling']['bun_available']} daytona_cli={payload['tooling']['daytona_cli_available']}",
+            "Optional modules:",
+            f"  kalshi_python={installed['kalshi_python']} textblob={installed['textblob']} vaderSentiment={installed['vaderSentiment']} daytona={installed['daytona']}",
+            f"Providers: {providers}",
+        ]
+    )
+
+
+def _format_capabilities(payload: dict[str, Any]) -> str:
+    providers = ", ".join(payload["platform"]["providers"]) or "(none)"
+    return "\n".join(
+        [
+            "Neural capabilities",
+            f"CLI commands: {', '.join(payload['cli']['commands'])}",
+            f"Paper-first trading: {payload['trading']['paper_first']}",
+            f"Private provider installed: {payload['platform']['private_provider_installed']}",
+            f"Daytona SDK available: {payload['platform']['daytona_sdk_available']}",
+            f"Daytona CLI available: {payload['platform']['daytona_cli_available']}",
+            f"Providers: {providers}",
+        ]
+    )
+
+
+def _format_providers(payload: dict[str, Any]) -> str:
+    providers = payload["providers"]
+    if not providers:
+        return "No deployment providers discovered."
+    return "Deployment providers:\n" + "\n".join(f"  - {provider}" for provider in providers)
+
+
+def _format_markets(payload: dict[str, Any]) -> str:
+    lines = [f"Markets ({payload['count']}):"]
+    for market in payload["markets"]:
+        lines.append(
+            f"  - {market['ticker']}: {market['title']} | yes_ask={market['yes_ask']} no_ask={market['no_ask']}"
+        )
+    return "\n".join(lines)
+
+
+def _format_quote(payload: dict[str, Any]) -> str:
+    return "\n".join(
+        [
+            f"{payload['market_id']}: {payload['title']}",
+            f"yes bid/ask: {payload['yes_bid']} / {payload['yes_ask']}",
+            f"no bid/ask: {payload['no_bid']} / {payload['no_ask']}",
+            f"last price: {payload['last_price']} volume: {payload['volume']}",
+        ]
+    )
+
+
+def _format_positions(payload: dict[str, Any]) -> str:
+    if not payload["positions"]:
+        return "No positions found."
+    lines = [f"Positions ({payload['count']}):"]
+    for position in payload["positions"]:
+        lines.append(
+            f"  - {position['market_id']} [{position['side']}]: qty={position['quantity']} unrealized_pnl={position['unrealized_pnl']}"
+        )
+    return "\n".join(lines)
+
+
+def _format_paper_order(payload: dict[str, Any]) -> str:
+    order = payload["order"]
+    return "\n".join(
+        [
+            f"Paper order success: {order.get('success')}",
+            f"Order ID: {order.get('order_id')}",
+            f"Message: {order.get('message')}",
+            f"Portfolio value: {payload['portfolio'].get('portfolio_value')}",
+        ]
+    )
+
+
+def _format_deployments(payload: dict[str, Any]) -> str:
+    lines = [f"{payload['provider']} deployments ({payload['count']}):"]
+    for item in payload["deployments"]:
+        lines.append(
+            f"  - {item.get('deployment_id')}: {item.get('status')} ({item.get('environment')})"
+        )
+    return "\n".join(lines)
+
+
+def _format_deployment_status(payload: dict[str, Any]) -> str:
+    deployment = payload["deployment"]
+    return "\n".join(
+        [
+            f"{deployment.get('deployment_id')}: {deployment.get('status')}",
+            f"health: {deployment.get('health_status')}",
+            f"uptime: {deployment.get('uptime_seconds')}",
+        ]
+    )
+
+
+def _format_deployment_logs(payload: dict[str, Any]) -> str:
+    lines = [f"Logs for {payload['deployment_id']}:"]
+    lines.extend(f"  {line}" for line in payload["logs"])
+    return "\n".join(lines)
+
+
+def _format_deployment_stop(payload: dict[str, Any]) -> str:
+    return f"Stopped {payload['deployment_id']}: {payload['stopped']}"
diff --git a/neural/data_collection/__init__.py b/neural/data_collection/__init__.py
index 1c05a444..fb9c97d7 100644
--- a/neural/data_collection/__init__.py
+++ b/neural/data_collection/__init__.py
@@ -1,25 +1,51 @@
-from .base import DataSource
-from .kalshi import (
-    KalshiMarketsSource,
-    SportMarketCollector,
-    filter_moneyline_markets,
-    get_all_sports_markets,
-    get_cfb_games,
-    get_game_markets,
-    get_live_sports,
-    get_markets_by_sport,
-    get_moneyline_markets,
-    get_nba_games,
-    get_nfl_games,
-    get_sports_series,
-    search_markets,
-)
-from .kalshi_api_source import KalshiApiSource
-from .polymarket_us import PolymarketUSConfig, PolymarketUSMarketsSource
-from .registry import DataSourceRegistry, register_source, registry
-from .rest_api import RestApiSource
-from .transformer import DataTransformer
-from .websocket import WebSocketSource
+"""Neural data-collection surface with lazy imports for provider-specific sources."""
+
+from __future__ import annotations
+
+import importlib
+
+_ATTRIBUTE_EXPORTS = {
+    "DataSource": (".base", "DataSource"),
+    "RestApiSource": (".rest_api", "RestApiSource"),
+    "WebSocketSource": (".websocket", "WebSocketSource"),
+    "DataTransformer": (".transformer", "DataTransformer"),
+    "DataSourceRegistry": (".registry", "DataSourceRegistry"),
+    "registry": (".registry", "registry"),
+    "register_source": (".registry", "register_source"),
+    "KalshiApiSource": (".kalshi_api_source", "KalshiApiSource"),
+    "PolymarketUSMarketsSource": (".polymarket_us", "PolymarketUSMarketsSource"),
+    "PolymarketUSConfig": (".polymarket_us", "PolymarketUSConfig"),
+    "KalshiMarketsSource": (".kalshi", "KalshiMarketsSource"),
+    "SportMarketCollector": (".kalshi", "SportMarketCollector"),
+    "filter_moneyline_markets": (".kalshi", "filter_moneyline_markets"),
+    "get_all_sports_markets": (".kalshi", "get_all_sports_markets"),
+    "get_cfb_games": (".kalshi", "get_cfb_games"),
+    "get_game_markets": (".kalshi", "get_game_markets"),
+    "get_live_sports": (".kalshi", "get_live_sports"),
+    "get_markets_by_sport": (".kalshi", "get_markets_by_sport"),
+    "get_moneyline_markets": (".kalshi", "get_moneyline_markets"),
+    "get_nba_games": (".kalshi", "get_nba_games"),
+    "get_nfl_games": (".kalshi", "get_nfl_games"),
+    "get_sports_series": (".kalshi", "get_sports_series"),
+    "search_markets": (".kalshi", "search_markets"),
+}
+
+
+def __getattr__(name: str) -> object:
+    target = _ATTRIBUTE_EXPORTS.get(name)
+    if target is None:
+        raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
+
+    module_name, attribute_name = target
+    module = importlib.import_module(module_name, __name__)
+    value = getattr(module, attribute_name)
+    globals()[name] = value
+    return value
+
+
+def __dir__() -> list[str]:
+    return sorted(set(globals()) | set(_ATTRIBUTE_EXPORTS))
+
 
 __all__ = [
     "DataSource",
diff --git a/neural/data_collection/polymarket_us.py b/neural/data_collection/polymarket_us.py
index 38915669..fdf1054b 100644
--- a/neural/data_collection/polymarket_us.py
+++ b/neural/data_collection/polymarket_us.py
@@ -2,9 +2,10 @@
 
 import asyncio
 from dataclasses import dataclass, fields
-from typing import Any
+from typing import TYPE_CHECKING, Any
 
-import pandas as pd
+if TYPE_CHECKING:
+    import pandas as pd
 
 from neural.trading.polymarket_us_adapter import PolymarketUSAdapter
 
@@ -63,6 +64,8 @@ async def collect(self):
             await asyncio.sleep(self._source_cfg.poll_interval)
 
     def get_markets_df(self) -> pd.DataFrame:
+        import pandas as pd
+
         markets = self.adapter.list_markets(
             sport=self._source_cfg.sport,
             limit=self._source_cfg.limit,
@@ -91,6 +94,8 @@ def get_market_history(
         start_ts_ms: int | None = None,
         end_ts_ms: int | None = None,
     ) -> pd.DataFrame:
+        import pandas as pd
+
         rows = self.adapter.get_candles(
             market_id,
             interval=interval,
@@ -124,6 +129,8 @@ def get_market_replay_df(
         limit: int | None = None,
         cursor: str | None = None,
     ) -> tuple[pd.DataFrame, str | None]:
+        import pandas as pd
+
         page_size = limit or self._source_cfg.replay_page_size
         payload = self.adapter.get_trade_replay(market_id, limit=page_size, cursor=cursor)
         rows = payload.get("items", [])
@@ -180,6 +187,8 @@ def get_market_events_df(
         limit: int | None = None,
         cursor: str | None = None,
     ) -> tuple[pd.DataFrame, str | None]:
+        import pandas as pd
+
         page_size = limit or self._source_cfg.replay_page_size
         payload = self.adapter.get_market_events(market_id, limit=page_size, cursor=cursor)
         rows = payload.get("items", [])
diff --git a/neural/trading/__init__.py b/neural/trading/__init__.py
index a01adf1b..01681fcf 100644
--- a/neural/trading/__init__.py
+++ b/neural/trading/__init__.py
@@ -1,4 +1,8 @@
-"""High-level trading utilities for the Neural prediction-market SDK."""
+"""High-level trading utilities for the Neural prediction-market SDK."""
+
+from __future__ import annotations
+
+import importlib
 
 from neural.exchanges.types import (
     ExchangeCapabilities,
@@ -10,18 +14,46 @@
     TradingPolicy,
 )
 
-from .client import TradingClient
-from .fix import FIXConnectionConfig, KalshiFIXClient
-from .kalshi_adapter import KalshiAdapter
-from .paper_client import PaperTradingClient, create_paper_trading_client
-from .paper_portfolio import PaperPortfolio, Position, Trade
-from .paper_report import PaperTradingReporter, create_report
-from .polymarket_us_adapter import (
-    PolymarketUSAdapter,
-    PolymarketUSMarketWebSocketClient,
-    PolymarketUSUserWebSocketClient,
-)
-from .websocket import KalshiWebSocketClient
+_ATTRIBUTE_EXPORTS = {
+    "TradingClient": (".client", "TradingClient"),
+    "KalshiAdapter": (".kalshi_adapter", "KalshiAdapter"),
+    "PolymarketUSAdapter": (".polymarket_us_adapter", "PolymarketUSAdapter"),
+    "PolymarketUSMarketWebSocketClient": (
+        ".polymarket_us_adapter",
+        "PolymarketUSMarketWebSocketClient",
+    ),
+    "PolymarketUSUserWebSocketClient": (
+        ".polymarket_us_adapter",
+        "PolymarketUSUserWebSocketClient",
+    ),
+    "KalshiWebSocketClient": (".websocket", "KalshiWebSocketClient"),
+    "KalshiFIXClient": (".fix", "KalshiFIXClient"),
+    "FIXConnectionConfig": (".fix", "FIXConnectionConfig"),
+    "PaperTradingClient": (".paper_client", "PaperTradingClient"),
+    "create_paper_trading_client": (".paper_client", "create_paper_trading_client"),
+    "PaperPortfolio": (".paper_portfolio", "PaperPortfolio"),
+    "Position": (".paper_portfolio", "Position"),
+    "Trade": (".paper_portfolio", "Trade"),
+    "PaperTradingReporter": (".paper_report", "PaperTradingReporter"),
+    "create_report": (".paper_report", "create_report"),
+}
+
+
+def __getattr__(name: str) -> object:
+    target = _ATTRIBUTE_EXPORTS.get(name)
+    if target is None:
+        raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
+
+    module_name, attribute_name = target
+    module = importlib.import_module(module_name, __name__)
+    value = getattr(module, attribute_name)
+    globals()[name] = value
+    return value
+
+
+def __dir__() -> list[str]:
+    return sorted(set(globals()) | set(_ATTRIBUTE_EXPORTS))
+
 
 __all__ = [
     "TradingClient",
diff --git a/neural/trading/client.py b/neural/trading/client.py
index 8449410f..796f5338 100644
--- a/neural/trading/client.py
+++ b/neural/trading/client.py
@@ -1,9 +1,8 @@
-from __future__ import annotations
+from __future__ import annotations
 
 import asyncio
 from typing import Any
 
-from neural.analysis.risk import Position
 from neural.exchanges.registry import registry
 from neural.exchanges.types import (
     ExchangeName,
@@ -280,6 +279,8 @@ def place_order_with_risk(
             try:
                 import time
 
+                from neural.analysis.risk import Position
+
                 position = Position(
                     market_id=market_id,
                     side="yes" if _normalize_order_side(side).endswith("yes") else "no",
@@ -385,3 +386,5 @@ def _run_coro_sync(coro: Any) -> Any:
         "Cannot execute sync paper-trading call inside a running event loop. "
         "Use await TradingClient.place_order_async(..., paper=True)."
     )
+
+
diff --git a/pyproject.toml b/pyproject.toml
index d91e4714..b5d25885 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -46,29 +46,18 @@ dependencies = [
     "requests>=2.31.0",
     "cryptography>=41.0.0",
     "python-dotenv>=1.0.0",
-    "kalshi-python>=2.1.4",
     "websocket-client>=1.7.0",
     "websockets>=11.0.0",
     "simplefix>=1.0.17",
     "pandas>=2.0.0",
-    # Bug Fix #3, #13: NumPy 2.x compatibility - SDK compiled against NumPy 1.x API
-    # Must use NumPy <2.0 to avoid runtime crashes
     "numpy>=1.24.0,<2.0",
-    # Bug Fix #5: Added certifi for proper SSL certificate verification
     "certifi>=2023.0.0",
-    # Sentiment Analysis Dependencies
-    "textblob>=0.17.1",
-    "vaderSentiment>=3.3.2",
     "aiohttp>=3.8.0",
-    # Data Processing Dependencies
-    "plotly>=5.15.0",
-    # Deployment Dependencies (v0.4.0)
     "pydantic>=2.0.0",
     "jinja2>=3.1.0",
 ]
 
 [project.optional-dependencies]
-# Development extras
 dev = [
     "pytest>=7.4.0",
     "pytest-cov>=4.1.0",
@@ -81,31 +70,30 @@ dev = [
     "build>=0.10.0",
     "twine>=4.0.0",
 ]
-# Documentation extras
 docs = [
     "mkdocs>=1.5.0",
     "mkdocs-material>=9.1.0",
     "mkdocstrings[python]>=0.22.0",
 ]
-# Optional trading extras to separate heavier deps
+analysis = [
+    "plotly>=5.15.0",
+]
 trading = [
     "kalshi-python>=2.1.4,<3",
 ]
-# Sentiment analysis extras for social media and text analysis
 sentiment = [
     "textblob>=0.17.1",
     "vaderSentiment>=3.3.2",
-    "transformers>=4.21.0",  # Optional for advanced sentiment models
-    "torch>=1.12.0",  # For transformer models
-    "scikit-learn>=1.1.0",  # For ML-based sentiment analysis
+    "transformers>=4.21.0",
+    "torch>=1.12.0",
+    "scikit-learn>=1.1.0",
 ]
-# Deployment extras for Docker-based bot deployment (v0.4.0)
 deployment = [
-    "docker>=6.1.0",  # Docker SDK for Python
-    "sqlalchemy>=2.0.0",  # Database ORM for trade persistence
-    "psycopg2-binary>=2.9.0",  # PostgreSQL adapter
-    "fastapi>=0.100.0",  # Optional: for deployment API server
-    "uvicorn>=0.23.0",  # Optional: ASGI server for FastAPI
+    "docker>=6.1.0",
+    "sqlalchemy>=2.0.0",
+    "psycopg2-binary>=2.9.0",
+    "fastapi>=0.100.0",
+    "uvicorn>=0.23.0",
 ]
 
 [project.urls]
@@ -150,7 +138,7 @@ markers = [
 [tool.black]
 line-length = 100
 target-version = ["py310", "py311", "py312"]
-include = '\.pyi?$'
+include = '\\.pyi?$'
 
 [tool.ruff]
 line-length = 100
@@ -158,18 +146,18 @@ target-version = "py310"
 
 [tool.ruff.lint]
 select = [
-    "E",  # pycodestyle errors
-    "W",  # pycodestyle warnings
-    "F",  # pyflakes
-    "I",  # isort
-    "B",  # flake8-bugbear
-    "C4", # flake8-comprehensions
-    "UP", # pyupgrade
+    "E",
+    "W",
+    "F",
+    "I",
+    "B",
+    "C4",
+    "UP",
 ]
 ignore = [
-    "E501", # line too long (handled by black)
-    "B008", # do not perform function calls in argument defaults
-    "C901", # too complex
+    "E501",
+    "B008",
+    "C901",
 ]
 
 [tool.ruff.lint.per-file-ignores]
diff --git a/tests/test_cli.py b/tests/test_cli.py
new file mode 100644
index 00000000..1a0e3a91
--- /dev/null
+++ b/tests/test_cli.py
@@ -0,0 +1,217 @@
+from __future__ import annotations
+
+import json
+import os
+import subprocess
+import sys
+from io import StringIO
+from pathlib import Path
+from typing import Any
+
+import pytest
+
+from neural import cli
+
+
+def _capture(monkeypatch: pytest.MonkeyPatch) -> tuple[StringIO, StringIO]:
+    stdout = StringIO()
+    stderr = StringIO()
+    monkeypatch.setattr("sys.stdout", stdout)
+    monkeypatch.setattr("sys.stderr", stderr)
+    return stdout, stderr
+
+
+def test_doctor_json_output(monkeypatch: pytest.MonkeyPatch) -> None:
+    stdout, stderr = _capture(monkeypatch)
+    monkeypatch.setattr(cli, "_safe_list_providers", lambda: ["daytona"])
+
+    exit_code = cli.main(["--json", "doctor"])
+
+    assert exit_code == 0
+    assert stderr.getvalue() == ""
+    payload = json.loads(stdout.getvalue())
+    assert payload["ok"] is True
+    assert payload["data"]["providers"] == ["daytona"]
+    assert "doctor" in payload["data"]["commands"]
+    assert "daytona_cli_available" in payload["data"]["tooling"]
+
+
+def test_capabilities_json_output(monkeypatch: pytest.MonkeyPatch) -> None:
+    stdout, _ = _capture(monkeypatch)
+    monkeypatch.setattr(cli, "_safe_list_providers", lambda: ["daytona"])
+
+    exit_code = cli.main(["--json", "capabilities"])
+
+    assert exit_code == 0
+    payload = json.loads(stdout.getvalue())
+    assert payload["ok"] is True
+    assert payload["data"]["platform"]["private_provider_installed"] is True
+    assert "stop" in payload["data"]["platform"]["deployment_controls"]
+
+
+def test_paper_order_json_output(monkeypatch: pytest.MonkeyPatch) -> None:
+    stdout, _ = _capture(monkeypatch)
+
+    class _FakePaperTradingClient:
+        def __init__(self, *args: Any, **kwargs: Any) -> None:
+            self.args = args
+            self.kwargs = kwargs
+
+        def update_market_price(self, *args: Any, **kwargs: Any) -> None:
+            return None
+
+        async def place_order(self, **kwargs: Any) -> dict[str, Any]:
+            return {
+                "success": True,
+                "order_id": "PAPER_1",
+                "message": f"placed {kwargs['quantity']}",
+            }
+
+        def get_portfolio(self) -> dict[str, Any]:
+            return {"portfolio_value": 10050.0}
+
+    monkeypatch.setattr(cli, "_get_paper_trading_client_class", lambda: _FakePaperTradingClient)
+
+    exit_code = cli.main(
+        [
+            "--json",
+            "paper",
+            "order",
+            "--market-id",
+            "TEST-1",
+            "--side",
+            "yes",
+            "--quantity",
+            "5",
+            "--price",
+            "0.55",
+            "--data-dir",
+            str(Path.cwd() / ".tmp-paper-cli"),
+        ]
+    )
+
+    assert exit_code == 0
+    payload = json.loads(stdout.getvalue())
+    assert payload["ok"] is True
+    assert payload["data"]["order"]["order_id"] == "PAPER_1"
+
+
+def test_paper_order_json_output_real_client(monkeypatch: pytest.MonkeyPatch) -> None:
+    stdout, stderr = _capture(monkeypatch)
+
+    exit_code = cli.main(
+        [
+            "--json",
+            "paper",
+            "order",
+            "--market-id",
+            "TEST-1",
+            "--side",
+            "yes",
+            "--quantity",
+            "1",
+            "--price",
+            "0.55",
+            "--data-dir",
+            str(Path.cwd() / ".tmp-paper-cli"),
+        ]
+    )
+
+    assert exit_code == 0
+    assert stderr.getvalue() == ""
+    assert "Infinity" not in stdout.getvalue()
+    payload = json.loads(stdout.getvalue())
+    assert payload["ok"] is True
+    assert payload["data"]["order"]["success"] is True
+
+
+def test_deployments_list_json_output_with_default_provider_resolution(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    stdout, _ = _capture(monkeypatch)
+
+    class _FakeProvider:
+        async def list_deployments(self) -> list[dict[str, Any]]:
+            return [{"deployment_id": "daytona-123", "status": "running", "environment": "paper"}]
+
+    def _fake_create_provider(name: str, **kwargs: Any) -> _FakeProvider:
+        assert name == "docker"
+        assert kwargs["project_name"] == "neural"
+        return _FakeProvider()
+
+    monkeypatch.setattr(cli, "_safe_list_providers", lambda: ["docker"])
+    monkeypatch.setattr(cli, "_create_provider", _fake_create_provider)
+
+    exit_code = cli.main(["--json", "deployments", "list"])
+
+    assert exit_code == 0
+    payload = json.loads(stdout.getvalue())
+    assert payload["ok"] is True
+    assert payload["data"]["provider"] == "docker"
+    assert payload["data"]["count"] == 1
+
+
+def test_deployments_stop_json_output(monkeypatch: pytest.MonkeyPatch) -> None:
+    stdout, _ = _capture(monkeypatch)
+
+    class _FakeProvider:
+        async def stop(self, deployment_id: str) -> bool:
+            assert deployment_id == "daytona-123"
+            return True
+
+    monkeypatch.setattr(cli, "_build_provider", lambda args: ("daytona", _FakeProvider()))
+
+    exit_code = cli.main(["--json", "deployments", "stop", "daytona-123"])
+
+    assert exit_code == 0
+    payload = json.loads(stdout.getvalue())
+    assert payload["ok"] is True
+    assert payload["data"]["stopped"] is True
+
+
+def test_deployments_list_json_output_without_discovered_provider(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    stdout, _ = _capture(monkeypatch)
+    monkeypatch.setattr(cli, "_safe_list_providers", lambda: [])
+
+    exit_code = cli.main(["--json", "deployments", "list"])
+
+    assert exit_code == 1
+    payload = json.loads(stdout.getvalue())
+    assert payload["ok"] is False
+    assert payload["error"]["code"] == "RuntimeError"
+    assert "No deployment providers discovered" in payload["error"]["message"]
+
+
+def test_python_module_cli_json_is_clean_on_stderr() -> None:
+    repo_root = Path(__file__).resolve().parents[1]
+    pythonpath = str(repo_root)
+    if os.environ.get("PYTHONPATH"):
+        pythonpath = os.pathsep.join([str(repo_root), os.environ["PYTHONPATH"]])
+
+    result = subprocess.run(
+        [sys.executable, "-m", "neural", "--json", "providers", "list"],
+        cwd=repo_root,
+        env={**os.environ, "PYTHONPATH": pythonpath},
+        capture_output=True,
+        text=True,
+        check=False,
+    )
+
+    assert result.returncode == 0
+    assert result.stderr == ""
+    payload = json.loads(result.stdout)
+    assert payload["ok"] is True
+
+def test_missing_subcommand_json_output(monkeypatch: pytest.MonkeyPatch) -> None:
+    stdout, stderr = _capture(monkeypatch)
+
+    exit_code = cli.main(["--json", "deployments"])
+
+    assert exit_code == 1
+    assert stderr.getvalue() == ""
+    payload = json.loads(stdout.getvalue())
+    assert payload["ok"] is False
+    assert payload["error"]["code"] == "ValueError"
+    assert "Missing sub-command" in payload["error"]["message"]
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 00000000..aa9ac672
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,4093 @@
+version = 1
+revision = 3
+requires-python = ">=3.10"
+resolution-markers = [
+    "python_full_version >= '3.14' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'",
+    "python_full_version == '3.11.*' and sys_platform == 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'",
+    "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version < '3.11'",
+]
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.13.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiohappyeyeballs" },
+    { name = "aiosignal" },
+    { name = "async-timeout", marker = "python_full_version < '3.11'" },
+    { name = "attrs" },
+    { name = "frozenlist" },
+    { name = "multidict" },
+    { name = "propcache" },
+    { name = "yarl" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/50/42/32cf8e7704ceb4481406eb87161349abb46a57fee3f008ba9cb610968646/aiohttp-3.13.3.tar.gz", hash = "sha256:a949eee43d3782f2daae4f4a2819b2cb9b0c5d3b7f7a927067cc84dafdbb9f88", size = 7844556, upload-time = "2026-01-03T17:33:05.204Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/36/d6/5aec9313ee6ea9c7cde8b891b69f4ff4001416867104580670a31daeba5b/aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7", size = 738950, upload-time = "2026-01-03T17:29:13.002Z" },
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