LQ-Qwen3-VL-4B-ChartSignal

BTC 15분봉 차트 이미지를 분석하여 매매 신호와 상세한 분석 근거를 JSON으로 출력하는 Qwen3-VL-4B LoRA adapter.

• Base Model: Qwen/Qwen3-VL-4B-Instruct
• Tutorial: Qwen3-VL-SFT-RL-Tutorial

Quick Start

import torch
from transformers import Qwen3VLForConditionalGeneration, AutoProcessor
from peft import PeftModel

# Load model
base_model = "Qwen/Qwen3-VL-4B-Instruct"
processor = AutoProcessor.from_pretrained(base_model)
model = Qwen3VLForConditionalGeneration.from_pretrained(
    base_model, torch_dtype=torch.bfloat16, device_map="auto",
)
model = PeftModel.from_pretrained(model, "LangQuant/LQ-Qwen3-VL-4B-ChartSignal")
model.eval()

# Predict
messages = [
    {"role": "system", "content": [
        {"type": "text", "text": "You are a professional Bitcoin futures trader. Analyze 15-minute candlestick charts to predict the direction over the next 4 hours."},
    ]},
    {"role": "user", "content": [
        {"type": "image", "image": "chart.png"},
        {"type": "text", "text": "BTCUSDT 15m chart. Predict the direction for the next 4 hours (16 candles).\nRespond in JSON."},
    ]},
]
inputs = processor.apply_chat_template(
    messages, tokenize=True, add_generation_prompt=True,
    return_dict=True, return_tensors="pt",
).to(model.device)

with torch.no_grad():
    generated_ids = model.generate(**inputs, max_new_tokens=512)

trimmed = [out[len(inp):] for inp, out in zip(inputs.input_ids, generated_ids)]
print(processor.batch_decode(trimmed, skip_special_tokens=True)[0])

Example

Input:

Output:

{
  "signal": "NEUTRAL",
  "confidence": 75,
  "stop_loss_pct": -0.5,
  "take_profit_pct": 0.5,
  "reasoning": {
    "market_context": "The price is consolidating around a narrow range near $89,000 to $90,000, with no clear trend established over the 16 candles.",
    "price_action": "Candlesticks show alternating small-bodied bullish and bearish candles without strong directional wicks, indicating indecision and sideways movement.",
    "volume_oi": "Volume is low and stable, not supporting strong buying or selling pressure. Open Interest shows a slight upward trend but remains relatively flat, suggesting no significant new positions being opened to drive direction.",
    "risk_assessment": "The main risk is a breakout in either direction, which could lead to a move beyond the consolidation range. However, the lack of strong momentum and volume reduces the probability of a sustained move."
  },
  "risk_level": "MEDIUM"
}

Evaluation (Best: checkpoint-200)

테스트셋 600개 (LONG 214 / SHORT 259 / NEUTRAL 127)

Accuracy: 42.7% | Macro F1: 42.4%

Confusion Matrix

	Pred LONG	Pred SHORT	Pred NEUTRAL	Recall
LONG	71	60	83	33.2%
SHORT	55	102	102	39.4%
NEUTRAL	16	28	83	65.4%

Classification Report

Class	Precision	Recall	F1	Support
LONG	50.0%	33.2%	39.9%	214
SHORT	53.7%	39.4%	45.4%	259
NEUTRAL	31.0%	65.4%	42.0%	127
Macro Avg	44.9%	46.0%	42.4%

F1 by Class & Checkpoint

Input

BTC/USDT 15분봉 차트 이미지 (24시간 분량). 차트에는 캔들스틱, 거래량, 펀딩비, 미결제약정이 포함됩니다.

Disclaimer

이 모델은 연구 및 교육 목적으로 만들어졌습니다. 실제 매매에 사용하여 발생하는 손실에 대해 책임지지 않습니다.