graph LR
Start(["`Start`"])
1["`<strong>userInteraction</strong><br>config`"]
2["`<strong>binance</strong><br>fetch current price`"]
4["`<strong>binance</strong><br>fetch historical prices`"]
3["`<strong>set</strong><br>calculate price metrics`"]
5["`<strong>CodeBox</strong><br>calculate tracking error`"]
6["`<strong>set</strong><br>merge metrics`"]
7["`<strong>set</strong><br>assess risk`"]
8{"`<strong>if</strong><br>check risk level`"}
9["`<strong>telegram</strong><br>send high risk alert`"]
10["`<strong>telegram</strong><br>send medium risk alert`"]
Start ---> 1
1 ---> 2
2 ---> 3
3 ---> 4
4 ---> 5
5 ---> 6
6 ---> 7
7 ---> 8
8 -->|true| 9
8 -->|false| 10
Stablecoin Comprehensive Risk Assessment
Performs comprehensive risk assessment by analyzing price deviation, trading volume, and tracking error to provide multi-level alerts, helping you identify systemic risks beyond simple price movements.
Who is this for?
This workflow is designed for risk managers, DeFi protocol operators, and sophisticated traders who need comprehensive stablecoin risk analysis beyond simple price monitoring, combining multiple risk indicators to identify systemic risks early.
What problem is this workflow solving? / Use case
Simple price monitoring only shows instantaneous deviations, but doesn't capture systemic risks like volatility patterns or liquidity issues. This workflow provides a comprehensive risk assessment by analyzing price deviation, trading volume, and tracking error (price stability over time), enabling you to identify risks that might not be apparent from price alone, such as the patterns that preceded historical stablecoin collapses.
What this workflow does
- Fetches current stablecoin price and 24-hour trading volume from the exchange
- Retrieves historical price data (7 days of hourly candles) for trend analysis
- Calculates instantaneous peg deviation from the $1.00 target
- Computes tracking error to measure price stability and volatility over time
- Assesses risk level by combining deviation, tracking error, and liquidity metrics
- Generates alerts based on multiple risk factors (deviation, volatility, liquidity)
- Sends Telegram alerts with detailed risk information when medium or high risk is detected
Setup
- Configure the Stablecoin Symbol in the config node (default: USDT/USD)
- Select the Exchange (binance or okx) and Market Type (spot or perpetual) in the config node
- Set the Red Alert Deviation Threshold (default: 0.01 for 1% deviation) and Yellow Alert Deviation Threshold (default: 0.005 for 0.5% deviation)
- Configure the Tracking Error Red Threshold (default: 0.02 for 2% tracking error) to detect excessive volatility
- Set the Minimum Volume Threshold (default: 100000000 for $100M) to detect liquidity risks
- The Telegram Chat ID will be automatically injected at runtime
Nodes in Use
-
Binance - Get Ticker Price: Fetches current ticker price for a specific symbol from Binance spot or perpetual markets
-
Binance - Get OHLCV Data: Fetches historical OHLCV (Open, High, Low, Close, Volume) data for technical analysis
-
System - Code Box (Sandbox Execution): Executes JavaScript code in a secure sandbox. Can combine existing nodes to implement complex logic
-
Telegram - Send Telegram Message: Sends text messages through Telegram's bot API using _chatId, message, and optional parameters
Tip: This executable workflow was automatically generated by SeamFlux Bot. To use it, create an execution and test it with your data to ensure it meets your needs.
Ready to get started?
to run this template or create a scheduled task, and ask AI about detailed node execution steps.
Run Locally — download this workflow as a ZIP or run it via Seamflux CLI in your terminal; use the "Run Locally" button above to choose.
Build a workflow from scratch using AI chat. No complex parameter configuration or flowchart dragging needed.
