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Local (Ollama, LM Studio) for NinjaTrader 8 Trading: Strengths, Costs, and Best Harnesses

You can run NinjaTrader trading workflows entirely against local LLMs via Ollama or LM Studio. The model never leaves your machine; only the MCP tool calls hit the CrossTrade hosted server. For traders with proprietary strategy IP or strict data policies, this is the right pattern.

Why local for trading​

  • Strategy IP stays local. Your NinjaScript and prompts never touch a cloud model provider.
  • No per-token cost. GPU electricity only.
  • Offline-capable for the model half; MCP calls still need internet.

Which model to pick​

ModelStrengthNotes
Qwen 3 CoderBest open-weight tool-callingDefault pick
DeepSeek V3 / R1 (distilled)Reasoning at low costR1 distilled fits on consumer GPUs
Llama 3.x / 4 70BGeneral purposeUse 70B+ for serious MCP work
gpt-ossOpenAI-style tool callingFamiliar prompts

For NinjaScript drafting, none of the local options match Claude. Use cloud Claude for the draft, local Qwen/DeepSeek for compile-repair iterations and journal review.

Stack​

Ollama (Llama / Qwen / DeepSeek / gpt-oss)
   │
   ▼
Open WebUI (or OpenCode / Cline / Continue / LibreChat / AnythingLLM)
   │  MCP
   ▼
CrossTrade hosted MCP server (https://app.crosstrade.io/v1/api/mcp)
   │
   ▼
CrossTrade Add-On in NT8

The MCP server is hosted; only the LLM is local.

Hardware floor​

  • 24GB VRAM (RTX 4090): Qwen 2.5 14B, DeepSeek R1 distilled, Llama 3 70B Q4.
  • 48GB VRAM: Qwen 3 Coder, Llama 3 70B at higher quants.
  • M-series Mac (64GB+ unified): runs most of the above acceptably.

Limitations​

  • Local models are slower than cloud.
  • Tool-call reliability is worse than cloud Claude / GPT. Pick a tool-aware harness (the recommended list above) and a tool-tuned model (Qwen 3 Coder, DeepSeek with structured output).
  • For mcp:trade workflows, local models are NOT a substitute for careful prompt design. Their refusal behavior is weaker than Claude's.

Pick your harness

This model works through any MCP-capable harness. Recommended pairings:

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