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Merge pull request #2906 from freqtrade/fix/jupyterexample 

Update data-analysis documentation to properly initialize configuration
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hroff-1902 2020-02-14 22:36:35 +03:00 committed by GitHub
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28
docs/strategy_analysis_example.md
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@ -1,24 +1,28 @@
# Strategy analysis example
Debugging a strategy can be time-consuming. FreqTrade offers helper functions to visualize raw data.
Debugging a strategy can be time-consuming. Freqtrade offers helper functions to visualize raw data.
The following assumes you work with SampleStrategy, data for 5m timeframe from Binance and have downloaded them into the data directory in the default location.
## Setup
```python
from pathlib import Path
from freqtrade.configuration import Configuration
# Customize these according to your needs.
# Initialize empty configuration object
config = Configuration.from_files([])
# Optionally, use existing configuration file
# config = Configuration.from_files(["config.json"])
# Define some constants
timeframe = "5m"
config["ticker_interval"] = "5m"
# Name of the strategy class
strategy_name = 'SampleStrategy'
# Path to user data
user_data_dir = Path('user_data')
# Location of the strategy
strategy_location = user_data_dir / 'strategies'
config["strategy"] = "SampleStrategy"
# Location of the data
data_location = Path(user_data_dir, 'data', 'binance')
data_location = Path(config['user_data_dir'], 'data', 'binance')
# Pair to analyze - Only use one pair here
pair = "BTC_USDT"
```
@ -29,7 +33,7 @@ pair = "BTC_USDT"
from freqtrade.data.history import load_pair_history
candles = load_pair_history(datadir=data_location,
timeframe=timeframe,
timeframe=config["ticker_interval"],
pair=pair)
# Confirm success
@ -44,9 +48,7 @@ candles.head()
```python
# Load strategy using values set above
from freqtrade.resolvers import StrategyResolver
strategy = StrategyResolver.load_strategy({'strategy': strategy_name,
'user_data_dir': user_data_dir,
'strategy_path': strategy_location})
strategy = StrategyResolver.load_strategy(config)
# Generate buy/sell signals using strategy
df = strategy.analyze_ticker(candles, {'pair': pair})
@ -86,7 +88,7 @@ Analyze a trades dataframe (also used below for plotting)
from freqtrade.data.btanalysis import load_backtest_data
# Load backtest results
trades = load_backtest_data(user_data_dir / "backtest_results/backtest-result.json")
trades = load_backtest_data(config["user_data_dir"] / "backtest_results/backtest-result.json")
# Show value-counts per pair
trades.groupby("pair")["sell_reason"].value_counts()

28
freqtrade/templates/strategy_analysis_example.ipynb
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@ -6,7 +6,8 @@
"source": [
"# Strategy analysis example\n",
"\n",
"Debugging a strategy can be time-consuming. FreqTrade offers helper functions to visualize raw data."
"Debugging a strategy can be time-consuming. Freqtrade offers helper functions to visualize raw data.\n",
"The following assumes you work with SampleStrategy, data for 5m timeframe from Binance and have downloaded them into the data directory in the default location."
]
},
{
@ -23,18 +24,21 @@
"outputs": [],
"source": [
"from pathlib import Path\n",
"from freqtrade.configuration import Configuration\n",
"\n",
"# Customize these according to your needs.\n",
"\n",
"# Initialize empty configuration object\n",
"config = Configuration.from_files([])\n",
"# Optionally, use existing configuration file\n",
"# config = Configuration.from_files([\"config.json\"])\n",
"\n",
"# Define some constants\n",
"timeframe = \"5m\"\n",
"config[\"ticker_interval\"] = \"5m\"\n",
"# Name of the strategy class\n",
"strategy_name = 'SampleStrategy'\n",
"# Path to user data\n",
"user_data_dir = Path('user_data')\n",
"# Location of the strategy\n",
"strategy_location = user_data_dir / 'strategies'\n",
"config[\"strategy\"] = \"SampleStrategy\"\n",
"# Location of the data\n",
"data_location = Path(user_data_dir, 'data', 'binance')\n",
"data_location = Path(config['user_data_dir'], 'data', 'binance')\n",
"# Pair to analyze - Only use one pair here\n",
"pair = \"BTC_USDT\""
]
@ -49,7 +53,7 @@
"from freqtrade.data.history import load_pair_history\n",
"\n",
"candles = load_pair_history(datadir=data_location,\n",
" timeframe=timeframe,\n",
" timeframe=config[\"ticker_interval\"],\n",
" pair=pair)\n",
"\n",
"# Confirm success\n",
@ -73,9 +77,7 @@
"source": [
"# Load strategy using values set above\n",
"from freqtrade.resolvers import StrategyResolver\n",
"strategy = StrategyResolver.load_strategy({'strategy': strategy_name,\n",
" 'user_data_dir': user_data_dir,\n",
" 'strategy_path': strategy_location})\n",
"strategy = StrategyResolver.load_strategy(config)\n",
"\n",
"# Generate buy/sell signals using strategy\n",
"df = strategy.analyze_ticker(candles, {'pair': pair})\n",
@ -137,7 +139,7 @@
"from freqtrade.data.btanalysis import load_backtest_data\n",
"\n",
"# Load backtest results\n",
"trades = load_backtest_data(user_data_dir / \"backtest_results/backtest-result.json\")\n",
"trades = load_backtest_data(config[\"user_data_dir\"] / \"backtest_results/backtest-result.json\")\n",
"\n",
"# Show value-counts per pair\n",
"trades.groupby(\"pair\")[\"sell_reason\"].value_counts()"