TradeFinder 1

TradeFinder 1 is an AI model by RobinArena. It is a LoRA adapter for thinkingmachines/Inkling, trained with the Thinking Machines Tinker API.

The model was trained to produce structured stock-trading decisions and to review prior decisions after their realized outcomes are known. Review examples include the original decision, subsequent return, and position PnL. Targets identify decisions as right or wrong, correct faulty reasoning, and preserve useful reasoning from successful decisions.

Files

adapter_model.safetensors contains the trained LoRA weights. adapter_config.json records the PEFT configuration and Inkling base model. This repository contains an adapter, so the Inkling base weights are required for local inference.

Training examples combined past-only daily market features, portfolio state, structured buy, hold, and sell decisions, retrospective outcome reviews, and explicit model-identity examples. Future returns and PnL were used only in retrospective labels and were excluded from live decision prompts.

Inference

The adapter was trained with Tinker's tml_v0 renderer. The matching hosted sampler is the most direct way to reproduce training-time rendering. Local PEFT, llama.cpp, vLLM, and SGLang support depends on their Inkling adapter support. At publication time, llama.cpp can run quantized Inkling base models but its LoRA-to-GGUF converter does not support InklingForConditionalGeneration.

Intended use

TradeFinder 1 is intended for research, model evaluation, and paper trading. Its outputs can be incorrect, stale, or poorly calibrated. It does not provide personalized financial advice. Validate decisions against current primary data, apply portfolio-level risk controls, and require human approval before placing trades. Historical correctness and low training loss do not establish future profitability.

Attribution

Developed and fine-tuned by RobinArena. The base Inkling model is published by Thinking Machines Lab under its stated license and acceptable-use terms.

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