- Sample:
- All markets in 3 random exchanges
- Test:
- Fetch all TradingPair instances
- Assert:
- No error
- Sample:
- 3 random markets in each of the 3 random exchanges
- Test:
- Fetch current price and volume
- Assert:
- Not null and no error
- Sample:
- 3 random markets for each of the 3 random exchanges supporting historical data
- For each market, randomly select one supported frequency
- Test:
- Fetch historical data for each market using the selected frequency
- Assert:
- No error and not blank
- Date of each candle is consistent with the Catalyst desired pattern,
- All candle start at fix intervals
- Last candle partial and forward looking from the end date
- Sample:
- 1 random market for each of 3 random authenticated exchanges
- Test:
- Create one limit order randomly buying or selling at least 10% out from the current price
- Retrieve the open order from the exchange
- Cancel the open order
- Assert:
- No error
- Sample:
- 3 random market in bundles for exchanges supporting historical data
- For each market, randomly selected data range available in the exchange historical data
- Test:
- Clean the target exchange bundle
- Ingest the selected market data for the selected data range
- Retrieve the bundle data into a dataframe
- Retrieve the equivalent OHLCV data from the exchange into a dataframe
- Assert:
- Matching data for the bundle and exchange
- Sample:
- 2 sample algorithms with built-in stats calculator
- 2 KPIs both calculated by each algo and by Catalyst
- Test:
- Run each algorithm
- Compare the results of the two methods or calculating stats
- Assert:
- Matching stats
- Sample:
- 3 random CSV files containing price data
- Test:
- Ingest each CSV files
- Validate with the exchange like in the 'Validate Bundle Data' test
- Assert:
- Matching data between the bundle and the exchange