deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit

🐦‍⬛ RavenX-Trade 8B v1.1 — Autonomous Trading Intelligence

MLX 4-bit · Apple Silicon · 128K context · 4-step MAP protocol · 318K training examples

Qwen3-8B fine-tuned for autonomous trading analysis. Trained on 318,675 examples from Polymarket, crypto, stocks, options, hedge fund, and quantitative trading data. Follow the MAP protocol: Market → Analyze → Predict → Trade.

📦 GGUF (Ollama / llama.cpp): RavenX-Trade-8B-GGUF 🛡️ Security model: RavenX-Sec-8B-RATH-128k (610K examples, 6-step RATH protocol)

Built by [@DeadByDawn101](https://github.com/DeadByDawn101) · RavenX LLC

What This Model Does

A fine-tuned Qwen3-8B that follows the MAP protocol for every trading analysis:

Example Output

MAP STEP 1: MARKET
- Asset: Bitcoin (BTC)
- Price: 67500.00
- Timeframe: 15-minute
- Market Context: Early phase of bullish setup

MAP STEP 2: ANALYZE
- RSI at 28: Deep oversold, potential bounce
- MACD just bullish crossover: Confirmation of bullish momentum
- 3x average volume: High conviction, likely accumulation

MAP STEP 3: PREDICT
- Signal: Strong potential for bullish reversal
- Confidence: 85%
- Target: 68000.00

MAP STEP 4: TRADE
- Action: Buy
- Entry: 67500.00
- Stop Loss: 66500.00
- Target: 68000.00
- Risk/Reward: 1:1.5
- Position Size: 2.5% of portfolio

Quick Start (MLX)

from mlx_lm import load, generate

model, tokenizer = load("deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit")

messages = [
    {"role": "system", "content": "You are RavenX-Trade. Follow the MAP protocol (Market, Analyze, Predict, Trade) for every analysis."},
    {"role": "user", "content": "BTC at 67500. RSI 28. MACD bullish crossover. Volume 3x average. Analyze."}
]

prompt = tokenizer.apply_chat_template(messages, add_generation_prompt=True, tokenize=False)
response = generate(model, tokenizer, prompt=prompt, max_tokens=2048)
print(response)

Chat REPL

python3 -m mlx_lm chat --model deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit --max-tokens 2048

OpenAI-Compatible Server

python3 -m mlx_lm.server --model deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit

Training Details

Dataset Composition (318K examples)

Datasets Used (21)

Polymarket: polymarket-quant-bench (36.8K) · polymarket-transactions (50K streamed)

Crypto: Solana-blockchain-360-Coding · crypto-agent-safe-function-calling · crypto-trading-r1-rl · crypto-ai-trading-signals

Stocks/Quant: stock-trader-sft-v2 (36K) · QuantitativeEquityInvesting · stock-market-chart-patterns

Hedge Fund: Hedgefunddataset (14.2K)

Agent/Reasoning: Claude-TraceInversion · ToolACE

15 GitHub Repos: polyverse · polymarket-trade-engine · tradingagents · ai-hedge-fund · MiroFish · Polymarket-BTC-15-Minute-Trading-Bot · pump-fun-bundler-bot · pumpfun-mcp-server · auto-researchtrading · degen-financial-plugins · polyterm · gopher · trading-bot · open-reasoning · minimind

The RavenX Model Family

Source Code & Training Pipeline

[github.com/DeadByDawn101/RavenX-Trade](https://github.com/DeadByDawn101/RavenX-Trade)

License

Apache-2.0

"We don't give up. We do what others don't and build what isn't possible." — RavenX LLC