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Add samples for plotting to jupyter documentation

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Matthias
2019-09-21 10:57:16 +02:00
parent 5234f8bf28
commit 359b0ba088
3 changed files with 172 additions and 53 deletions
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docs/data-analysis.md
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@@ -61,34 +61,6 @@ except:
print(Path.cwd())
```
## Load existing objects into a Jupyter notebook
These examples assume that you have already generated data using the cli. They will allow you to drill deeper into your results, and perform analysis which otherwise would make the output very difficult to digest due to information overload.
### Load backtest results into a pandas dataframe
```python
from freqtrade.data.btanalysis import load_backtest_data
# Load backtest results
df = load_backtest_data("user_data/backtest_results/backtest-result.json")
# Show value-counts per pair
df.groupby("pair")["sell_reason"].value_counts()
```
### Load live trading results into a pandas dataframe
``` python
from freqtrade.data.btanalysis import load_trades_from_db
# Fetch trades from database
df = load_trades_from_db("sqlite:///tradesv3.sqlite")
# Display results
df.groupby("pair")["sell_reason"].value_counts()
```
### Load multiple configuration files
This option can be useful to inspect the results of passing in multiple configs.
@@ -114,30 +86,9 @@ Best avoid relative paths, since this starts at the storage location of the jupy
}
```
### Load exchange data to a pandas dataframe
### Further Data analysis documentation
This loads candle data to a dataframe
```python
from pathlib import Path
from freqtrade.data.history import load_pair_history
# Load data using values passed to function
ticker_interval = "5m"
data_location = Path('user_data', 'data', 'bitrex')
pair = "BTC_USDT"
candles = load_pair_history(datadir=data_location,
ticker_interval=ticker_interval,
pair=pair)
# Confirm success
print(f"Loaded len(candles) rows of data for {pair} from {data_location}")
candles.head()
```
Further Data analysis documents:
* [Strategy debugging](strategy_analysis_example.md)
* [Strategy debugging](strategy_analysis_example.md) - also available as Jupyter notebook (`user_data/notebooks/strategy_analysis_example.ipynb`)
* [Plotting](plotting.md)
Feel free to submit an issue or Pull Request enhancing this document if you would like to share ideas on how to best analyze the data.