Merge pull request #2344 from freqtrade/backtest_nofees
Backtest no fees / custom fees
This commit is contained in:
commit
edfbb56749
@ -72,6 +72,17 @@ The exported trades can be used for [further analysis](#further-backtest-result-
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freqtrade backtesting --export trades --export-filename=backtest_samplestrategy.json
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```
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#### Supplying custom fee value
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Sometimes your account has certain fee rebates (fee reductions starting with a certain account size or monthly volume), which are not visible to ccxt.
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To account for this in backtesting, you can use `--fee 0.001` to supply this value to backtesting.
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This fee must be a percentage, and will be applied twice (once for trade entry, and once for trade exit).
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```bash
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freqtrade backtesting --fee 0.001
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```
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#### Running backtest with smaller testset by using timerange
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Use the `--timerange` argument to change how much of the testset you want to use.
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@ -174,22 +174,25 @@ Backtesting also uses the config specified via `-c/--config`.
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```
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usage: freqtrade backtesting [-h] [-i TICKER_INTERVAL] [--timerange TIMERANGE]
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[--max_open_trades MAX_OPEN_TRADES]
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[--stake_amount STAKE_AMOUNT] [-r] [--eps] [--dmmp]
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[-l]
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[--strategy-list STRATEGY_LIST [STRATEGY_LIST ...]]
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[--export EXPORT] [--export-filename PATH]
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[--max_open_trades INT]
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[--stake_amount STAKE_AMOUNT] [--fee FLOAT]
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[--eps] [--dmmp]
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[--strategy-list STRATEGY_LIST [STRATEGY_LIST ...]]
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[--export EXPORT] [--export-filename PATH]
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optional arguments:
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-h, --help show this help message and exit
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-i TICKER_INTERVAL, --ticker-interval TICKER_INTERVAL
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Specify ticker interval (1m, 5m, 30m, 1h, 1d).
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Specify ticker interval (`1m`, `5m`, `30m`, `1h`,
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`1d`).
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--timerange TIMERANGE
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Specify what timerange of data to use.
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--max_open_trades MAX_OPEN_TRADES
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--max_open_trades INT
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Specify max_open_trades to use.
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--stake_amount STAKE_AMOUNT
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Specify stake_amount.
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--fee FLOAT Specify fee ratio. Will be applied twice (on trade
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entry and exit).
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--eps, --enable-position-stacking
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Allow buying the same pair multiple times (position
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stacking).
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@ -199,19 +202,21 @@ optional arguments:
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number).
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--strategy-list STRATEGY_LIST [STRATEGY_LIST ...]
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Provide a space-separated list of strategies to
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backtest Please note that ticker-interval needs to be
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backtest. Please note that ticker-interval needs to be
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set either in config or via command line. When using
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this together with --export trades, the strategy-name
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is injected into the filename (so backtest-data.json
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becomes backtest-data-DefaultStrategy.json
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--export EXPORT Export backtest results, argument are: trades. Example
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--export=trades
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this together with `--export trades`, the strategy-
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name is injected into the filename (so `backtest-
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data.json` becomes `backtest-data-
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DefaultStrategy.json`
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--export EXPORT Export backtest results, argument are: trades.
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Example: `--export=trades`
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--export-filename PATH
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Save backtest results to this filename requires
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--export to be set as well Example --export-
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filename=user_data/backtest_results/backtest_today.json
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(default: user_data/backtest_results/backtest-
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result.json)
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Save backtest results to the file with this filename
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(default: `user_data/backtest_results/backtest-
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result.json`). Requires `--export` to be set as well.
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Example: `--export-filename=user_data/backtest_results
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/backtest_today.json`
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```
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### Getting historic data for backtesting
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@ -228,13 +233,13 @@ to find optimal parameter values for your stategy.
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```
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usage: freqtrade hyperopt [-h] [-i TICKER_INTERVAL] [--timerange TIMERANGE]
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[--max_open_trades INT]
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[--stake_amount STAKE_AMOUNT] [-r]
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[--stake_amount STAKE_AMOUNT] [--fee FLOAT]
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[--customhyperopt NAME] [--hyperopt-path PATH]
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[--eps] [-e INT]
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[-s {all,buy,sell,roi,stoploss} [{all,buy,sell,roi,stoploss} ...]]
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[--dmmp] [--print-all] [--no-color] [-j JOBS]
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[--random-state INT] [--min-trades INT] [--continue]
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[--hyperopt-loss NAME]
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[--dmmp] [--print-all] [--no-color] [--print-json]
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[-j JOBS] [--random-state INT] [--min-trades INT]
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[--continue] [--hyperopt-loss NAME]
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optional arguments:
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-h, --help show this help message and exit
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@ -247,6 +252,8 @@ optional arguments:
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Specify max_open_trades to use.
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--stake_amount STAKE_AMOUNT
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Specify stake_amount.
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--fee FLOAT Specify fee ratio. Will be applied twice (on trade
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entry and exit).
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--customhyperopt NAME
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Specify hyperopt class name (default:
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`DefaultHyperOpts`).
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@ -266,6 +273,7 @@ optional arguments:
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--print-all Print all results, not only the best ones.
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--no-color Disable colorization of hyperopt results. May be
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useful if you are redirecting output to a file.
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--print-json Print best result detailization in JSON format.
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-j JOBS, --job-workers JOBS
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The number of concurrently running jobs for
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hyperoptimization (hyperopt worker processes). If -1
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@ -284,8 +292,8 @@ optional arguments:
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generate completely different results, since the
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target for optimization is different. Built-in
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Hyperopt-loss-functions are: DefaultHyperOptLoss,
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OnlyProfitHyperOptLoss, SharpeHyperOptLoss.
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(default: `DefaultHyperOptLoss`).
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OnlyProfitHyperOptLoss, SharpeHyperOptLoss.(default:
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`DefaultHyperOptLoss`).
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```
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## Edge commands
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@ -294,25 +302,28 @@ To know your trade expectancy and winrate against historical data, you can use E
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```
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usage: freqtrade edge [-h] [-i TICKER_INTERVAL] [--timerange TIMERANGE]
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[--max_open_trades MAX_OPEN_TRADES]
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[--stake_amount STAKE_AMOUNT] [-r]
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[--stoplosses STOPLOSS_RANGE]
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[--max_open_trades INT] [--stake_amount STAKE_AMOUNT]
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[--fee FLOAT] [--stoplosses STOPLOSS_RANGE]
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optional arguments:
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-h, --help show this help message and exit
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-i TICKER_INTERVAL, --ticker-interval TICKER_INTERVAL
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Specify ticker interval (1m, 5m, 30m, 1h, 1d).
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Specify ticker interval (`1m`, `5m`, `30m`, `1h`,
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`1d`).
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--timerange TIMERANGE
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Specify what timerange of data to use.
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--max_open_trades MAX_OPEN_TRADES
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--max_open_trades INT
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Specify max_open_trades to use.
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--stake_amount STAKE_AMOUNT
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Specify stake_amount.
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--fee FLOAT Specify fee ratio. Will be applied twice (on trade
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entry and exit).
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--stoplosses STOPLOSS_RANGE
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Defines a range of stoploss against which edge will
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assess the strategy the format is "min,max,step"
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(without any space).example:
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--stoplosses=-0.01,-0.1,-0.001
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Defines a range of stoploss values against which edge
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will assess the strategy. The format is "min,max,step"
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(without any space). Example:
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`--stoplosses=-0.01,-0.1,-0.001`
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```
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To understand edge and how to read the results, please read the [edge documentation](edge.md).
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@ -15,7 +15,7 @@ ARGS_STRATEGY = ["strategy", "strategy_path"]
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ARGS_MAIN = ARGS_COMMON + ARGS_STRATEGY + ["db_url", "sd_notify"]
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ARGS_COMMON_OPTIMIZE = ["ticker_interval", "timerange",
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"max_open_trades", "stake_amount"]
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"max_open_trades", "stake_amount", "fee"]
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ARGS_BACKTEST = ARGS_COMMON_OPTIMIZE + ["position_stacking", "use_max_market_positions",
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"strategy_list", "export", "exportfilename"]
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@ -144,6 +144,12 @@ AVAILABLE_CLI_OPTIONS = {
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default=os.path.join('user_data', 'backtest_results',
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'backtest-result.json'),
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),
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"fee": Arg(
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'--fee',
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help='Specify fee ratio. Will be applied twice (on trade entry and exit).',
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type=float,
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metavar='FLOAT',
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),
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# Edge
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"stoploss_range": Arg(
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'--stoplosses',
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@ -210,6 +210,10 @@ class Configuration:
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logstring='Parameter --stake_amount detected, '
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'overriding stake_amount to: {} ...')
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self._args_to_config(config, argname='fee',
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logstring='Parameter --fee detected, '
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'setting fee to: {} ...')
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self._args_to_config(config, argname='timerange',
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logstring='Parameter --timerange detected: {} ...')
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@ -323,7 +327,8 @@ class Configuration:
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sample: logfun=len (prints the length of the found
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configuration instead of the content)
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"""
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if argname in self.args and self.args[argname]:
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if (argname in self.args and self.args[argname] is not None
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and self.args[argname] is not False):
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config.update({argname: self.args[argname]})
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if logfun:
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@ -77,8 +77,10 @@ class Edge:
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self._timerange: TimeRange = TimeRange.parse_timerange("%s-" % arrow.now().shift(
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days=-1 * self._since_number_of_days).format('YYYYMMDD'))
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self.fee = self.exchange.get_fee()
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if config.get('fee'):
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self.fee = config['fee']
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else:
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self.fee = self.exchange.get_fee()
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def calculate(self) -> bool:
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pairs = self.config['exchange']['pair_whitelist']
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@ -63,9 +63,12 @@ class Backtesting:
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self.config['exchange']['uid'] = ''
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self.config['dry_run'] = True
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self.strategylist: List[IStrategy] = []
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self.exchange = ExchangeResolver(self.config['exchange']['name'], self.config).exchange
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self.fee = self.exchange.get_fee()
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if config.get('fee'):
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self.fee = config['fee']
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else:
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self.fee = self.exchange.get_fee()
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if self.config.get('runmode') != RunMode.HYPEROPT:
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self.dataprovider = DataProvider(self.config, self.exchange)
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@ -26,6 +26,21 @@ from tests.conftest import (get_args, log_has, log_has_re, patch_exchange,
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patched_configuration_load_config_file)
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ORDER_TYPES = [
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{
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'buy': 'limit',
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'sell': 'limit',
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'stoploss': 'limit',
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'stoploss_on_exchange': False
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},
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{
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'buy': 'limit',
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'sell': 'limit',
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'stoploss': 'limit',
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'stoploss_on_exchange': True
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}]
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def trim_dictlist(dict_list, num):
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new = {}
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for pair, pair_data in dict_list.items():
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@ -211,7 +226,8 @@ def test_setup_bt_configuration_with_arguments(mocker, default_conf, caplog) ->
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'--disable-max-market-positions',
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'--timerange', ':100',
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'--export', '/bar/foo',
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'--export-filename', 'foo_bar.json'
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'--export-filename', 'foo_bar.json',
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'--fee', '0',
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]
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config = setup_configuration(get_args(args), RunMode.BACKTEST)
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@ -243,6 +259,9 @@ def test_setup_bt_configuration_with_arguments(mocker, default_conf, caplog) ->
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assert 'exportfilename' in config
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assert log_has('Storing backtest results to {} ...'.format(config['exportfilename']), caplog)
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assert 'fee' in config
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assert log_has('Parameter --fee detected, setting fee to: {} ...'.format(config['fee']), caplog)
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def test_setup_configuration_unlimited_stake_amount(mocker, default_conf, caplog) -> None:
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default_conf['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
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@ -277,21 +296,6 @@ def test_start(mocker, fee, default_conf, caplog) -> None:
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assert start_mock.call_count == 1
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ORDER_TYPES = [
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{
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'buy': 'limit',
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'sell': 'limit',
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'stoploss': 'limit',
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'stoploss_on_exchange': False
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},
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{
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'buy': 'limit',
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'sell': 'limit',
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'stoploss': 'limit',
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'stoploss_on_exchange': True
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}]
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@pytest.mark.parametrize("order_types", ORDER_TYPES)
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def test_backtesting_init(mocker, default_conf, order_types) -> None:
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"""
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@ -314,10 +318,6 @@ def test_backtesting_init(mocker, default_conf, order_types) -> None:
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def test_backtesting_init_no_ticker_interval(mocker, default_conf, caplog) -> None:
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"""
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Check that stoploss_on_exchange is set to False while backtesting
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since backtesting assumes a perfect stoploss anyway.
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"""
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patch_exchange(mocker)
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del default_conf['ticker_interval']
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default_conf['strategy_list'] = ['DefaultStrategy',
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@ -330,6 +330,16 @@ def test_backtesting_init_no_ticker_interval(mocker, default_conf, caplog) -> No
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"or as cli argument `--ticker-interval 5m`", caplog)
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def test_tickerdata_with_fee(default_conf, mocker, testdatadir) -> None:
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patch_exchange(mocker)
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default_conf['fee'] = 0.1234
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fee_mock = mocker.patch('freqtrade.exchange.Exchange.get_fee', MagicMock(return_value=0.5))
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backtesting = Backtesting(default_conf)
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assert backtesting.fee == 0.1234
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assert fee_mock.call_count == 0
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def test_tickerdata_to_dataframe_bt(default_conf, mocker, testdatadir) -> None:
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patch_exchange(mocker)
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timerange = TimeRange(None, 'line', 0, -100)
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@ -98,6 +98,16 @@ def test_edge_init(mocker, edge_conf) -> None:
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assert callable(edge_cli.edge.calculate)
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def test_edge_init_fee(mocker, edge_conf) -> None:
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patch_exchange(mocker)
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edge_conf['fee'] = 0.1234
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edge_conf['stake_amount'] = 20
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fee_mock = mocker.patch('freqtrade.exchange.Exchange.get_fee', MagicMock(return_value=0.5))
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edge_cli = EdgeCli(edge_conf)
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assert edge_cli.edge.fee == 0.1234
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assert fee_mock.call_count == 0
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def test_generate_edge_table(edge_conf, mocker):
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patch_exchange(mocker)
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edge_cli = EdgeCli(edge_conf)
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@ -403,7 +403,7 @@ def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> Non
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assert log_has('Parameter -i/--ticker-interval detected ... Using ticker_interval: 1m ...',
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caplog)
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assert 'position_stacking'in config
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assert 'position_stacking' in config
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assert log_has('Parameter --enable-position-stacking detected ...', caplog)
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assert 'use_max_market_positions' in config
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Block a user