Swiftask integrates CoinAPI historical data to test your trading strategies. Validate your hypotheses against years of data in minutes.
Result:
Stop trading blindly. Make decisions based on concrete historical evidence.
AI Agents
coinapi
Connector coinapi · Secure OAuth 2.0
Launching a trading strategy without testing it against past market conditions is a recipe for capital loss. Collecting, cleaning, and analyzing terabytes of historical data are major technical hurdles for most traders.
Main negative impacts:
Cognitive biases
Without backtesting, your decisions are based on intuition rather than robust statistical data.
Prohibitive infrastructure costs
Storing and processing historical data requires expensive server resources and data engineering skills.
Critical analysis delays
Time spent preparing data is time lost optimizing and deploying winning strategies.
Swiftask connects your AI agents directly to CoinAPI for instant access to historical market data. You test your strategies against the past without managing data infrastructure.
BEFORE / AFTER
Before Swiftask + CoinAPI
You manually try to download CSV files from various exchanges. Formats differ, data is incomplete. You spend 80% of your time cleaning data and only 20% analyzing your strategy.
With Swiftask + CoinAPI
Your AI agent queries CoinAPI in real time. It retrieves clean, normalized data over several years. You run the test, get performance metrics (Sharpe, Drawdown), and refine your model instantly.
1
STEP 1 : Define your strategy
Describe your strategy rules in Swiftask (e.g., moving average crossovers, RSI, etc.).
2
STEP 2 : Connect CoinAPI
Configure access to CoinAPI via your API key to extract historical data for your chosen pairs.
3
STEP 3 : Execute the backtest
The AI agent runs the strategy on historical data and simulates trades according to your rules.
4
STEP 4 : Analyze results
Receive a comprehensive report on your strategy's behavior with key performance indicators.
The agent considers slippage, exchange trading fees, and historical volatility for realistic results.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-coinapi@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
CoinAPI provides institutional-grade data quality for your tests.
Test months of data in record time with AI.
Focus on business logic, not complex Python code.
Identify maximum drawdown before risking real money.
Test a strategy on 50 pairs simultaneously without extra effort.
Swiftask applies enterprise-grade security standards for your coinapi automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Preparation time | Several days | A few minutes |
| Data quality | Inconsistent | Standardized and clean |
| Technical complexity | Data expertise required | Intuitive interface |
| Result reliability | Low (manual errors) | High (rigorous simulation) |
Stop trading blindly. Make decisions based on concrete historical evidence.