Skip to content

Trading Recommendations with Katbot

Katbot can provide trading recommendations based on market data and user preferences. This guide will walk you through the process of setting up and using Katbot for trading recommendations.

How Katbot Agenic Analysis and Trading Recommendations Work

Katbot leverages advanced AI algorithms to analyze market trends, historical data, and user-defined parameters to generate trading recommendations. By understanding your risk tolerance, investment goals, and preferred trading pairs, Katbot can suggest trades that align with your strategy. It does this by accessing real-time market data and applying machine learning techniques to identify potential opportunities. Here are the key components that the Katbot Agent uses to provide trading recommendations:

  • Market Data Analysis: Katbot continuously monitors market conditions, including price movements, volume, and volatility, to identify trends and patterns.
  • Risk Metrics: Looks at the current risk factors associated with the portfolio state to influence different trading options to help balance potential rewards against possible losses.
  • Position Sizing: Determines the appropriate size for each trade based on your portfolio size, risk tolerance, and market conditions to optimize potential returns while managing risk.

Getting Trading Recommendations From Katbot

The new recommendation system offers two approaches - predefined prompt templates for quick access, and custom instructions for personalized strategies:

  1. Access the Recommendations Panel: Navigate to your portfolio dashboard and locate the "Agenic Trading Recommendations" section.
  2. Choose Your Approach:
  3. Quick Prompts: Select from predefined templates (Basic or Trader mode)
  4. Custom Instructions: Write your own specific trading criteria and preferences
  5. Generate Recommendation: Click "Generate Recommendation" and wait for Katbot to analyze market conditions (typically 1-2 minutes).
  6. Review Results: Your recommendation will appear in the recommendations list with detailed entry/exit points and reasoning.
  7. Execute Trades: Use the provided trade details to make informed trading decisions through your exchange.

Recommendation Modes: Basic vs Trader

Katbot offers two distinct prompt modes to match your experience level and trading style:

Basic Mode

Perfect for beginners or users who want straightforward, easy-to-understand recommendations. Basic prompts focus on: - General market analysis and trend identification - Simple risk assessment and portfolio balance - Clear entry and exit strategies - Beginner-friendly explanations

Trader Mode

Designed for experienced traders who want detailed, technical analysis-driven recommendations. Trader prompts include: - Advanced technical analysis with specific RSI, volatility, and momentum parameters - Sophisticated risk management with precise position sizing calculations - Multi-directional strategies (long/short opportunities) - Portfolio hedging and delta-neutral strategies - Statistical mean reversion and breakout patterns

You can toggle between modes using the switch in the recommendations panel - your preference will be saved for future sessions.

Quick Prompts Interface

Predefined Prompt Categories

Basic Mode Prompts

  • Market Analysis: General market condition analysis with technical indicators and sentiment
  • Quick Opportunities: Short-term trading setups with clear entry/exit points
  • Risk Assessment: Portfolio risk review and optimization suggestions
  • Trend Analysis: Major cryptocurrency trend identification and momentum plays
  • Contrarian Opportunities: Counter-trend setups when sentiment is extreme
  • Breakout Setups: Key resistance/support level analysis for breakout trades

Trader Mode Prompts

  • Bullish Trend Pullback: Long entries on pullbacks in established uptrends
  • Bearish Trend Rally: Short entries on relief rallies in downtrends
  • Volatility Breakout: Bi-directional breakout strategies with volume confirmation
  • Range Fade: Mean reversion trades in ranging markets
  • Statistical Mean Reversion: Counter-trend scalps based on RSI extremes
  • Portfolio Hedge: Delta-neutral strategies to balance portfolio risk
  • Best Opportunistic Trade: Highest conviction trade regardless of direction

Creating Custom Instructions

While predefined prompts cover most scenarios, you can create custom instructions tailored to your specific needs. Here's how to craft effective custom prompts:

Structure for Custom Prompts

  1. Specify Direction: Long, Short, or Bi-directional
  2. Define Timeframe: Short-term (hours), Medium-term (days), or Long-term (weeks)
  3. Set Risk Parameters: Risk tolerance, position size preferences
  4. Include Market Conditions: Trending, ranging, volatile, etc.
  5. Add Asset Preferences: Specific tokens, market cap ranges, or exclusions

Custom Prompt Examples

Conservative Long-term Strategy:

Recommend a LONG position for a 2-3 week hold with low risk tolerance. 
Focus on established cryptocurrencies (top 20 by market cap) showing 
strong fundamentals and technical support. Use tight stop losses 
(max 3% risk) and realistic profit targets. Avoid meme coins or 
highly volatile assets.

Aggressive Scalping Setup:

Find a high-probability scalping opportunity for the next 2-4 hours. 
I'm comfortable with 5% portfolio risk and prefer assets with high 
volume and clear technical levels. Looking for either direction 
(LONG/SHORT) with tight entry/exit criteria. Focus on major pairs 
like BTC, ETH, SOL with strong momentum indicators.

Contrarian Value Play:

Identify an oversold cryptocurrency that has dropped 20%+ in recent 
days but maintains strong fundamentals. Looking for a LONG position 
with 3-5 day holding period. Use dollar-cost averaging entry 
strategy and focus on assets near major support levels. 
Maximum 2% portfolio risk per position.

Portfolio Rebalancing:

Analyze my current portfolio allocation and recommend a trade to 
improve diversification. I'm currently overweight in DeFi tokens 
and want exposure to gaming or AI cryptocurrencies. Suggest either 
a new LONG position or reducing existing exposure through strategic 
exits or SHORT positions.

Momentum Breakout Strategy:

Find cryptocurrencies breaking out of consolidation patterns with 
increasing volume. Looking for 4-6 hour momentum plays with clear 
breakout levels. Willing to risk 3% of portfolio on high-conviction 
setups. Prefer assets that haven't moved significantly in the past 
week but show signs of accumulation.

How Katbot Recommendations Work

When you submit a recommendation request, here's what happens:

  1. AI Analysis: Katbot analyzes current market data, technical indicators, and your portfolio state
  2. Strategy Formation: Based on your prompt, Katbot develops a specific trading strategy
  3. Risk Calculation: Position sizing and risk parameters are calculated based on your portfolio size
  4. Recommendation Generation: A detailed recommendation is created with exact entry/exit levels

Sample Recommendation Output

Here's an example of what a Katbot recommendation looks like:

I recommend one trade based on your moderate-risk allocation.

Trade Recommendation

Action: BUY BTC/USD (long)
Entry: 93,578.50 USD (current market price)
Take-profit: 98,257.43 USD (+5.0%)
Stop-loss: 91,707.03 USD (-2.0%)
Position size: $500.35 (risks 1% of portfolio)
Leverage: 2.0x
Risk-reward: 2.5 : 1
Confidence: 0.70
Reasoning:
BTC shows neutral-to-bullish intraday structure with increasing volume and positive momentum.
RSI ~62 — not overbought for a continuation move.
Tight 2% stop keeps dollar risk within your risk management limits; 5% TP yields >2:1 reward-to-risk.
Position uses 2x leverage to align with moderate risk tolerance.

Risks:
- Short-term volatility could trigger the tight stop
- Macro headlines can produce rapid moves and slippage  
- Leverage increases liquidation risk; monitor closely

Your recommendations will appear in the Katbot Recommendations Dashboard:

![Katbot Recommendation](/img/recommend_1.png)


## Advanced Custom Prompt Techniques

For experienced traders, here are advanced prompting techniques to get more sophisticated recommendations:

### Multi-Criteria Analysis
```text
Analyze the top 10 cryptocurrencies by volume and identify the best 
LONG setup that meets these criteria: RSI between 40-60, increasing 
volume over 48 hours, price above 20-day EMA, and not overbought 
on 4-hour timeframe. Provide detailed technical analysis and risk 
management strategy.

Sector-Specific Strategy

Focus on DeFi tokens showing accumulation patterns. Looking for a 
LONG position in an established protocol (min $100M market cap) 
that has underperformed recently but shows signs of revival. 
Consider TVL trends, protocol revenue, and upcoming catalysts 
in your analysis.

Risk-Parity Approach

Recommend a pair trade opportunity: one LONG and one SHORT position 
that hedge against each other while capturing relative performance. 
Focus on correlated assets with diverging technicals. Ensure 
combined position risk doesn't exceed 2% of portfolio value.

Short-Term Scalping

Find a high-probability scalping opportunity for the next 2-4 hours. 
Focus on major pairs with clear support/resistance levels and high 
volume. Looking for either LONG or SHORT with tight risk management - 
maximum 1% stop loss and 2-3% profit target. Prefer assets showing 
momentum divergence on shorter timeframes.

Long-Term Value Strategy

Identify an undervalued cryptocurrency for a 2-4 week hold period. 
Focus on fundamentally strong projects trading below fair value due 
to market sentiment. Analyze on-chain metrics, development activity, 
and partnerships. Use a dollar-cost averaging approach with 3-5% 
portfolio allocation and wide stop loss (15-20%).

Tips for Effective Prompting

  1. Be Specific: Include timeframes, risk tolerance, and preferred asset types
  2. State Direction: Clearly mention if you want LONG, SHORT, or both directions considered
  3. Define Risk Parameters: Specify maximum risk per trade and position sizing preferences
  4. Include Market Context: Mention current market conditions or specific technical levels
  5. Add Constraints: Exclude certain assets or include specific requirements (market cap, volume, etc.)
  6. Request Details: Ask for specific entry/exit levels and reasoning behind recommendations