SOL trading recommendations w/ multi-timeframe analysis using Gemini & Telegram
Try It Out!
This workflow builds a Telegram-based Solana (SOL/USDT) Multi-Timeframe AI Market Analyzer that automatically pulls live candlestick data for SOL/USDT, runs structured multi-timeframe technical analysis (1-minute, 5-minute, 1-hour) through an AI Agent, and posts a professional, JSON-structured analysis + trading recommendation straight to your Telegram chat. It combines on-chain / market data aggregation, LLM-driven interpretation, and instant Telegram reporting — giving you concise, actionable market intelligence every hour.
How It Works
Hourly Trigger – The workflow runs once per hour to pull fresh market data.
Market Data Fetch – Three HTTP requests gather candlesticks from CryptoCompare:
1-minute (last 60 candles)
5-minute aggregate (last 60 aggregated candles)
1-hour (last 60 candles)
Merge & Transcribe – The three feeds are merged and a lightweight code node extracts:
symbol, current price, arrays for data_1m, data_5m, data_1h.
AI Agent Analysis – The LLM (configured via your model node) receives the merged payload and runs a structured multi-timeframe technical analysis, returning a strict JSON report containing:
Per-timeframe analysis (momentum, volume, S/R,MA, volatility)
Market structure / confluence findings
Trading recommendation (action, entry, stop, TPs, position sizing)
A final disclaimer
Parse AI Output – Extracts the JSON block from the agent’s reply and validates/parses it for downstream formatting.
Telegram Reporting – Sends two nicely formatted Telegram messages:
Multi-timeframe breakdown (1m / 5m / 1h)
Market structure + Trading Recommendation (TPs, SL, position size, disclaimer)
How to Use
Import the workflow into your n8n workspace (or replicate the nodes shown in the JSON).
Add credentials:
CryptoCompare API Key — for reliable candlestick data.
LLM model credentials — e.g., Google Gemini / OpenAI, configured in the LangChain/LM node.
Telegram Bot Token & Chat ID — to send messages.
(Optional) AFK Crypto API key if you want to enrich data with wallet info later.
Node mapping & endpoints:
Fetch_1m → GET https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60
Fetch_5m → GET https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60&aggregate=5
Fetch_1h → GET https://min-api.cryptocompare.com/data/v2/histohour?fsym=SOL&tsym=USDT&limit=60
Merge → combine the three responses into a single payload.
Transcribe (code) → extract last close as current price and attach the arrays.
AI Agent → pass the structured prompt (system message instructs exact JSON structure).
Parse AI Output → extract the json ... block and JSON.parse it.
Telegram nodes → format and send two messages (timeframes and recommendation).
Adjust analysis frequency: default is hourly — change the Schedule Trigger node as desired.
Deploy and activate: the workflow will post an AI-driven SOL/USDT market analysis to your Telegram hourly.
(Optional) Extend This Workflow
Add price / orderbook enrichment (e.g., AFK price endpoints or exchange orderbook) to improve context.
Add wallet exposure checks (AFK wallet balances) to tailor position sizing suggestions.
Store AI reports in Notion / Google Sheets for historical auditing and backtesting.
Add alert filtering to only post when the LLM flags high-confidence signals or confluence across timeframes.
Expose Telegram commands to request on-demand analysis (e.g., /analyze now 5m).
Add risk management logic to convert LLM recommendation into automated orders (careful — requires manual review and stronger safety controls).
Safety Mechanisms
Explicit system prompt — forces AI to output only the exact JSON structure to avoid free-form text parsing errors.
JSON parser node — validates the agent response and throws if malformed before any downstream action.
Read-only market analysis — the workflow only reports by default (no auto-trading), reducing operational risk.
Credentials gated — ensure LLM and Telegram credentials are stored securely in n8n.
Disclaimer — every report includes a legal/financial disclaimer from the agent.
Requirements
CryptoCompare API Key (for minute/hour candlesticks)
LLM model credentials (Google Gemini / OpenAI / other supported model in your LangChain node)
Telegram Bot Token + Chat ID (where analysis messages are posted)
Optional: AFK Crypto API key if you plan to add wallet/position context
n8n instance with: HTTP Request, Code, Merge, LangChain/Agent, and Telegram nodes enabled
AFK / External APIs Used
CryptoCompare Candles:
GET https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60 (1m)
GET https://min-api.cryptocompare.com/data/v2/histominute?fsym=SOL&tsym=USDT&limit=60&aggregate=5 (5m)
GET https://min-api.cryptocompare.com/data/v2/histohour?fsym=SOL&tsym=USDT&limit=60 (1h)
Telegram Bot API – via n8n Telegram node.
LLM / LangChain – your chosen LLM provider (configured in the workflow).
Summary
The Solana (SOL/USDT) Multi-Timeframe AI Market Analyzer (Telegram) gives you hourly, professional multi-timeframe technical analysis generated by an LLM agent using real candlestick data from CryptoCompare. It combines the speed of automated data collection with the structure and reasoning of an AI analyst, delivering clear trading recommendations and a timestamped analysis to your Telegram chat — ideal for traders who want reliable, concise market intelligence without manual charting.
Our Website: https://afkcrypto.com/ Check our blogs: https://www.afkcrypto.com/blog
Solana (SOL) Trading Recommendations with Multi-Timeframe Analysis using Gemini & Telegram
This n8n workflow provides automated trading recommendations for Solana (SOL) by performing multi-timeframe analysis using the Google Gemini AI model and delivering the insights directly to a Telegram chat. It simplifies the process of staying informed about potential trading opportunities without constant manual monitoring.
What it does
This workflow automates the following steps:
- Schedules Execution: The workflow runs on a predefined schedule (e.g., daily, hourly) to fetch the latest data.
- Fetches Market Data: It makes an HTTP request to a cryptocurrency API to retrieve real-time market data for Solana (SOL).
- Analyzes with AI: The fetched data is then passed to a Google Gemini Chat Model via an AI Agent, which performs multi-timeframe analysis to identify potential trading recommendations.
- Generates Recommendations: The AI Agent processes the analysis and generates actionable trading recommendations based on the market data.
- Formats Output: The raw output from the AI is formatted into a clear and readable message.
- Delivers to Telegram: Finally, the formatted trading recommendations are sent as a message to a specified Telegram chat.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running instance of n8n.
- Telegram Bot Token: A Telegram bot token and the chat ID where you want to receive messages.
- Google Gemini API Key: An API key for the Google Gemini AI model.
- Cryptocurrency API Endpoint: An API endpoint to fetch Solana (SOL) market data. (The current HTTP Request node is generic, you'll need to configure it for a specific crypto API like CoinGecko, Binance, etc.)
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure Credentials:
- Telegram: Set up a Telegram credential with your Bot Token.
- Google Gemini Chat Model: Configure the Google Gemini Chat Model node with your Gemini API key.
- Configure HTTP Request:
- Update the "HTTP Request" node with the URL of your chosen cryptocurrency API to fetch Solana (SOL) data.
- Adjust headers or query parameters as needed for authentication or specific data requests.
- Configure AI Agent:
- Review the "AI Agent" node's prompt to ensure it aligns with the type of multi-timeframe analysis and recommendations you expect. You may need to refine the prompt based on the specific data structure returned by your chosen crypto API.
- Configure Telegram:
- In the "Telegram" node, specify the
Chat IDwhere you want the recommendations to be sent.
- In the "Telegram" node, specify the
- Activate the Workflow: Enable the workflow to start running on its defined schedule.
- Adjust Schedule (Optional): Modify the "Schedule Trigger" node to change how often the workflow runs (e.g., every hour, every 4 hours, daily).
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