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

To receive trading recommendations from Katbot, follow these steps:

1. Access the Recommendations Feature: Log in to your Katbot account open the "Katbot Chat Dialog" (lower right anchored button).
2. Chat with Katbot: Tell Katbot your trading preferences, including risk tolerance, investment amount, and preferred trading pairs. (see below for examples)
3. Close the Chat Dialog: Once you have received your recommendations, you can close the chat dialog by clicking the "X" button in the upper right corner of the chat window. This will hide the chat interface, allowing you to continue using Katbot without the chat window obstructing your view.
4. Review Recommendations: Katbot will analyze the market data and provide you with tailored trading recommendations based on your input.
5. Execute Trade Based On Recommendations: Use the recommendations provided by Katbot to make informed trading decisions.

Example Prompts for Trading Recommendations

Here are some simple example prompts you can use to get trading recommendations from Katbot:

• Katbot, I have a moderate risk tolerance and want to invest $500. What trading pairs do you recommend?
• Can you recommend some high-potential altcoins for short-term trading?
• I'm looking for low-risk trading options with a $1000 investment. What do you recommend?
• Katbot, can you analyze the current market trends and recommend a profitable trading pair?

Katbot Chat Window

Here is an example of how to ask Katbot for a trading recommendation using the chat window:

And here is how Katbot might respond to one of these prompts:

I recommend one trade based on your $500 moderate-risk allocation.

Trade (saved for approval)

Action: BUY BTC/USD (long)
Entry: 93,578.50 USD (current)
Take-profit: 98,257.43 USD (+5.0%)
Stop-loss: 91,707.03 USD (-2.0%)
Position size: $500.35 (recommended by sizing tool; risks 5% of portfolio)
Leverage: 2.0x
Risk-reward: 2.5 : 1
Confidence: 0.70
Reasoning (summary)

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 5%-per-trade limit; 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; keep monitoring.

Next step:
I’ve saved this recommendation. Please review and approve it to execute the trade.

And what you will see in the Katbot Recommendations Dashboard:

Feel free to customize these prompts based on your specific trading goals and preferences but make sure to ask Katbot for a recommendation. Katbot is designed to adapt to your needs and provide personalized recommendations. Here are some additional examples to help you get the most out of your interactions with Katbot:

More Example Prompts for Trading Recommendations

Asking for a SHORT short-term trade recommendation:

make a SHORT recommendation with the best probability to 
extract a short term profit (in the next 8-12hrs) from market 
conditions on a token that is not currently held, stop loss 
and take profit range should be in a tight range from entry 
price. Attempt to balance risk and reward in ways that are 
most likely to yield return on investment.

Asking for a low risk long-term trade recommendation:

make a LONG recommendation with the best probability to 
extract a long term profit (in the next 7-14 days) from market 
conditions on a token that is not currently held, stop loss 
and take profit range should be in a moderate range from entry 
price. Attempt to balance risk and reward in ways that are 
most likely to yield return on investment.