AI Strategy

Understand how mucch's AI analyzes markets and generates trading signals. This guide provides a deep dive into the strategy, technical indicators, and decision-making process.

Overview

mucch uses large language models (GPT-5 or Claude 4.5 Sonnet) to analyze market data and generate trading recommendations. Unlike traditional algorithmic trading, the AI considers multiple factors simultaneously and provides human-readable reasoning for each decision.

How It Works

  1. 1.Data Collection: Fetch real-time market data from Hyperliquid (price, volume, 24h high/low)
  2. 2.Technical Analysis: Calculate indicators (RSI, MACD, moving averages, volatility)
  3. 3.AI Reasoning: Send data to AI with structured prompts requesting analysis
  4. 4.Signal Generation: AI returns action (BUY/SELL/HOLD), confidence, and reasoning
  5. 5.Display: Present signal in dashboard with entry/exit levels and position sizing

Technical Indicators

The AI analyzes multiple technical indicators to form a complete market view:

Price Action

Current price compared to recent highs and lows. The AI looks for:

  • Higher highs/higher lows: Uptrend indication
  • Lower highs/lower lows: Downtrend indication
  • Breakouts: Price moving above resistance or below support
  • Consolidation: Sideways movement indicating accumulation/distribution

Volume Analysis

Trading volume confirms price movements:

  • High volume + price increase: Strong bullish signal
  • High volume + price decrease: Strong bearish signal
  • Low volume: Weak trend, potential reversal
  • Volume spikes: Increased interest, possible trend change

Volatility

Price volatility measured by 24h high/low range:

  • High volatility: Large potential gains/losses, wider stops needed
  • Low volatility: Tighter range, potential breakout coming
  • Volatility expansion: Often precedes strong moves

Trend Strength

Direction and strength of the current trend:

  • Strong uptrend: Series of higher highs and higher lows
  • Strong downtrend: Series of lower highs and lower lows
  • Weak trend: Inconsistent price action, choppy movement
  • Range-bound: No clear direction, consolidation phase

AI Prompt Engineering

The AI receives carefully crafted prompts that guide its analysis. Here's an example of what the AI sees:

You are an expert cryptocurrency trader analyzing BTC/USD.

Current Market Data:
- Price: $42,150
- 24h High: $43,200
- 24h Low: $40,800
- 24h Volume: $2.4B
- Price Change: +2.8%

Technical Indicators:
- Trend: Uptrend (price above recent support levels)
- Volume: Above average (confirms bullish momentum)
- Volatility: Moderate (2.8% range)
- Support: $41,500
- Resistance: $43,000

Analyze this data and provide:
1. Trading action (BUY/SELL/HOLD)
2. Confidence level (0-100%)
3. Detailed reasoning
4. Entry price suggestion
5. Stop loss level
6. Take profit target
7. Position size recommendation

Respond in JSON format.

Pro Tip: The AI uses temperature 0.3 for consistent, deterministic responses. This means it will generally provide similar answers for similar market conditions.

Decision Logic

The AI follows a conservative decision framework:

BUY Signal

Generated when the AI identifies strong bullish conditions:

  • Confidence > 70%
  • Clear uptrend with volume confirmation
  • Price breaking above resistance or bouncing from support
  • Positive momentum indicators
  • Favorable risk/reward ratio (minimum 1:2)

SELL Signal

Generated when the AI identifies strong bearish conditions:

  • Confidence > 70%
  • Clear downtrend with volume confirmation
  • Price breaking below support or rejected at resistance
  • Negative momentum indicators
  • Risk management: close existing longs

HOLD Signal

Generated when conditions are unclear or risky:

  • Confidence < 70%
  • Mixed signals from different indicators
  • High uncertainty or choppy price action
  • Major news events pending
  • Poor risk/reward ratio

Risk Management

The AI incorporates sophisticated risk management into every signal:

Position Sizing

Calculated based on your risk percentage and account size:

Position Size = (Account Value × Risk %) ÷ Stop Loss Distance

Example: $10,000 account, 1% risk, $100 stop distance = $1,000 position

Stop Loss Placement

The AI suggests stop losses based on:

  • Technical levels: Below support for longs, above resistance for shorts
  • Volatility: Wider stops in volatile markets
  • Risk/reward: Ensures minimum 1:2 ratio
  • Percentage-based: Typically 2-5% from entry

Take Profit Targets

Profit targets are set to achieve favorable risk/reward ratios:

  • Primary target: 2x the stop loss distance (1:2 R:R)
  • Extension target: 3x the stop loss distance (1:3 R:R)
  • Technical targets: Key resistance/support levels
  • Trailing stops: Lock in profits as trade moves favorably

Example Analysis

Let's walk through a real example of how the AI analyzes a market:

Market Scenario: BTC/USD

Current Price:$42,150
24h Change:+2.8%
24h High:$43,200
24h Low:$40,800
Volume:$2.4B
Avg Volume:$1.8B

AI Analysis Result

Action:BUY
Confidence:85%
Reasoning:

"Strong bullish momentum confirmed by above-average volume (+33%). Price has successfully broken above the $42,000 resistance level with conviction. The 24h gain of 2.8% indicates buying pressure. Volume analysis shows institutional participation. No major resistance until $43,200 (24h high). Favorable risk/reward with stop loss at $41,500 support and target at $43,800."

Entry:$42,150
Stop Loss:$41,500
Take Profit:$43,800
Position Size:$250
Risk:$650 (1.5%)
R:R Ratio:1:2.5

AI Model Configuration

mucch's AI is configured for optimal trading performance:

ParameterValuePurpose
temperature0.3Consistent, deterministic responses
max_tokens500Detailed reasoning without verbosity
modelgpt-5 / claude-4.5-sonnetAdvanced reasoning capabilities
response_formatJSONStructured, parseable output

Strengths & Limitations

Strengths

  • Analyzes multiple indicators simultaneously
  • Provides human-readable reasoning
  • Adapts to changing market conditions
  • Conservative approach prioritizes capital preservation
  • Incorporates risk management in every signal

Limitations

  • Cannot predict black swan events
  • Limited to technical analysis (no fundamental data)
  • API costs for each analysis
  • Requires manual trade execution
  • Not suitable for high-frequency trading

Remember: The AI is a tool to assist your trading decisions, not replace your judgment. Always verify signals, understand the reasoning, and never trade more than you can afford to lose.