Shared conversation on NexusTrade
Algorithmic Trading Strategy Creation for BTC and ETH
A user collaborates with an AI assistant to create an algorithmic trading strategy for Bitcoin (BTC) and Ethereum (ETH) using Exponential Moving Averages (EMA) and Relative Strength Index (RSI). The strategy includes specific buy and sell conditions based on market indicators.
Aurora: Hello. Would you like to create a new portfolio?
User: Generate an algorthmic trading strategy
Aurora: I'll help you create an algorithmic trading strategy. Could you please specify: 1. **Asset**: What stock/crypto do you want to trade? (e.g., SPY, NVDA, BTC) 2. **Action Type**: Buy/Sell/Alert? 3. **Conditions**: What triggers the trade? Examples: - Technical indicators (RSI < 30, price crosses 200-day SMA) - Price thresholds (up 5% from entry) - Time-based rules (hold for 7 days) 4. **Position Sizing**: - Percentage of portfolio/buying power? - Fixed dollar amount? - Percentage of current position? Example request: "Buy 5% of buying power in NVDA when RSI < 30 and price > 50-day SMA, sell 50% when up 10%"
User: Купить 1 процент портфеля в криптовалюте BTC, когда (цена BTC > 20-дневная EMA BTC) и (цена BTC > 50-дневная EMA BTC) и (14-дневный BTC RSI < 30), продать 1 процент портфеля в криптовалюте BTC, когда (цена BTC < 20-дневная EMA BTC) и (цена BTC < 50-дневная EMA BTC) и (14-дневный BTC RSI > 70), купить 1 процент портфеля в криптовалюте ETH, когда (цена ETH > 20-дневная ETH EMA) и (цена ETH > 50-дневная ETH EMA) и (14-дневный ETH RSI < 30), продать 1 процент портфеля в криптовалюте ETH, когда (цена ETH < 20-дневная ETH EMA) и (цена ETH < 50-дневная ETH EMA) и (14-дневный ETH RSI > 70)
User: Create a Portfolio with this strategy.
Aurora: **Description**: This portfolio implements a dual-crypto strategy using Exponential Moving Averages (EMA) and Relative Strength Index (RSI) for both Bitcoin (BTC) and Ethereum (ETH). The strategy buys 1% of the portfolio value in each cryptocurrency when their prices are above both the 20-day and 50-day EMAs **and** their 14-day RSI indicates oversold conditions (RSI < 30). Conversely, it sells 1% of the portfolio value when prices fall below both EMAs **and** RSI indicates overbought conditions (RSI > 70). This approach aims to capitalize on momentum shifts while managing risk through RSI-based thresholds. **JSON**:
User: to fix the strategy
User: to fix the strategy
Aurora: My Apologies. I seem to have encountered the following error: "Error: Error sending message: Request failed after 1 attempts with original model (deepseek/deepseek-r1), 1 attempts with original model, 1 attempts with deepseek/deepseek-r1-distill-llama-70b, 2 attempts with meta-llama/llama-3.3-70b-instruct. Please try again later.". This can be due to a variety of reasons including a system error or user error. Please try the following actions to resolve this error: 1. Click "Clear Action" on the top center of the chat and try again. 2. Try using a different model (such as Claude 3.5 Sonnet or OpenAI's o1-mini) 3. [Read about Aurora's capabilities to ensure you're using it correctly.](https://nexustrade.io/blog/here-is-what-makes-nexustrades-agent-aurora-the-most-powerful-financial-assistant-20240917) 4. Contact support by clicking the 3 dots on the bottom left of the chat and clicking "Report a Bug". You can share a direct link to this chat by clicking the "Share Conversation" button in the same menu.