Remove ticker_interval support
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@ -26,7 +26,7 @@ usage: freqtrade backtesting [-h] [-v] [--logfile FILE] [-V] [-c PATH]
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optional arguments:
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-h, --help show this help message and exit
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-i TIMEFRAME, --timeframe TIMEFRAME, --ticker-interval TIMEFRAME
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-i TIMEFRAME, --timeframe TIMEFRAME
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Specify timeframe (`1m`, `5m`, `30m`, `1h`, `1d`).
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--timerange TIMERANGE
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Specify what timerange of data to use.
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@ -63,7 +63,7 @@ optional arguments:
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`30m`, `1h`, `1d`).
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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 timeframe 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-
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name is injected into the filename (so `backtest-
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@ -86,7 +86,7 @@ Mandatory parameters are marked as **Required**, which means that they are requi
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| `amend_last_stake_amount` | Use reduced last stake amount if necessary. [More information below](#configuring-amount-per-trade). <br>*Defaults to `false`.* <br> **Datatype:** Boolean
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| `last_stake_amount_min_ratio` | Defines minimum stake amount that has to be left and executed. Applies only to the last stake amount when it's amended to a reduced value (i.e. if `amend_last_stake_amount` is set to `true`). [More information below](#configuring-amount-per-trade). <br>*Defaults to `0.5`.* <br> **Datatype:** Float (as ratio)
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| `amount_reserve_percent` | Reserve some amount in min pair stake amount. The bot will reserve `amount_reserve_percent` + stoploss value when calculating min pair stake amount in order to avoid possible trade refusals. <br>*Defaults to `0.05` (5%).* <br> **Datatype:** Positive Float as ratio.
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| `timeframe` | The timeframe (former ticker interval) to use (e.g `1m`, `5m`, `15m`, `30m`, `1h` ...). [Strategy Override](#parameters-in-the-strategy). <br> **Datatype:** String
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| `timeframe` | The timeframe to use (e.g `1m`, `5m`, `15m`, `30m`, `1h` ...). [Strategy Override](#parameters-in-the-strategy). <br> **Datatype:** String
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| `fiat_display_currency` | Fiat currency used to show your profits. [More information below](#what-values-can-be-used-for-fiat_display_currency). <br> **Datatype:** String
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| `dry_run` | **Required.** Define if the bot must be in Dry Run or production mode. <br>*Defaults to `true`.* <br> **Datatype:** Boolean
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| `dry_run_wallet` | Define the starting amount in stake currency for the simulated wallet used by the bot running in Dry Run mode.<br>*Defaults to `1000`.* <br> **Datatype:** Float
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@ -222,7 +222,7 @@ usage: freqtrade edge [-h] [-v] [--logfile FILE] [-V] [-c PATH] [-d PATH]
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optional arguments:
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-h, --help show this help message and exit
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-i TIMEFRAME, --timeframe TIMEFRAME, --ticker-interval TIMEFRAME
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-i TIMEFRAME, --timeframe TIMEFRAME
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Specify timeframe (`1m`, `5m`, `30m`, `1h`, `1d`).
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--timerange TIMERANGE
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Specify what timerange of data to use.
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@ -55,7 +55,7 @@ usage: freqtrade hyperopt [-h] [-v] [--logfile FILE] [-V] [-c PATH] [-d PATH]
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optional arguments:
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-h, --help show this help message and exit
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-i TIMEFRAME, --timeframe TIMEFRAME, --ticker-interval TIMEFRAME
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-i TIMEFRAME, --timeframe TIMEFRAME
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Specify timeframe (`1m`, `5m`, `30m`, `1h`, `1d`).
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--timerange TIMERANGE
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Specify what timerange of data to use.
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@ -65,7 +65,7 @@ optional arguments:
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_today.json`
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--timerange TIMERANGE
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Specify what timerange of data to use.
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-i TIMEFRAME, --timeframe TIMEFRAME, --ticker-interval TIMEFRAME
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-i TIMEFRAME, --timeframe TIMEFRAME
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Specify timeframe (`1m`, `5m`, `30m`, `1h`, `1d`).
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--no-trades Skip using trades from backtesting file and DB.
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@ -330,7 +330,7 @@ optional arguments:
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--trade-source {DB,file}
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Specify the source for trades (Can be DB or file
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(backtest file)) Default: file
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-i TIMEFRAME, --timeframe TIMEFRAME, --ticker-interval TIMEFRAME
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-i TIMEFRAME, --timeframe TIMEFRAME
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Specify timeframe (`1m`, `5m`, `30m`, `1h`, `1d`).
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--auto-open Automatically open generated plot.
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@ -325,7 +325,7 @@ stoploss = -0.10
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For the full documentation on stoploss features, look at the dedicated [stoploss page](stoploss.md).
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### Timeframe (formerly ticker interval)
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### Timeframe
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This is the set of candles the bot should download and use for the analysis.
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Common values are `"1m"`, `"5m"`, `"15m"`, `"1h"`, however all values supported by your exchange should work.
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@ -117,7 +117,7 @@ AVAILABLE_CLI_OPTIONS = {
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),
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# Optimize common
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"timeframe": Arg(
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'-i', '--timeframe', '--ticker-interval',
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'-i', '--timeframe',
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help='Specify timeframe (`1m`, `5m`, `30m`, `1h`, `1d`).',
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),
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"timerange": Arg(
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@ -169,7 +169,7 @@ AVAILABLE_CLI_OPTIONS = {
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"strategy_list": Arg(
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'--strategy-list',
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help='Provide a space-separated list of strategies to backtest. '
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'Please note that ticker-interval needs to be set either in config '
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'Please note that timeframe needs to be set either in config '
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'or via command line. When using this together with `--export trades`, '
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'the strategy-name is injected into the filename '
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'(so `backtest-data.json` becomes `backtest-data-SampleStrategy.json`',
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@ -87,7 +87,7 @@ class Backtesting:
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validate_config_consistency(self.config)
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if "timeframe" not in self.config:
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raise OperationalException("Timeframe (ticker interval) needs to be set in either "
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raise OperationalException("Timeframe needs to be set in either "
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"configuration or as cli argument `--timeframe 5m`")
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self.timeframe = str(self.config.get('timeframe'))
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self.timeframe_min = timeframe_to_minutes(self.timeframe)
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@ -29,15 +29,13 @@ class IHyperOpt(ABC):
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Class attributes you can use:
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timeframe -> int: value of the timeframe to use for the strategy
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"""
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ticker_interval: str # DEPRECATED
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timeframe: str
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strategy: IStrategy
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def __init__(self, config: dict) -> None:
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self.config = config
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# Assign ticker_interval to be used in hyperopt
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IHyperOpt.ticker_interval = str(config['timeframe']) # DEPRECATED
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# Assign timeframe to be used in hyperopt
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IHyperOpt.timeframe = str(config['timeframe'])
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def generate_estimator(self, dimensions: List[Dimension], **kwargs) -> EstimatorType:
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@ -192,7 +190,7 @@ class IHyperOpt(ABC):
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Categorical([True, False], name='trailing_only_offset_is_reached'),
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]
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# This is needed for proper unpickling the class attribute ticker_interval
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# This is needed for proper unpickling the class attribute timeframe
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# which is set to the actual value by the resolver.
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# Why do I still need such shamanic mantras in modern python?
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def __getstate__(self):
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@ -202,5 +200,4 @@ class IHyperOpt(ABC):
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def __setstate__(self, state):
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self.__dict__.update(state)
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IHyperOpt.ticker_interval = state['timeframe']
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IHyperOpt.timeframe = state['timeframe']
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@ -44,7 +44,6 @@ class HyperOptLossResolver(IResolver):
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extra_dir=config.get('hyperopt_path'))
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# Assign timeframe to be used in hyperopt
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hyperoptloss.__class__.ticker_interval = str(config['timeframe'])
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hyperoptloss.__class__.timeframe = str(config['timeframe'])
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return hyperoptloss
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@ -145,10 +145,6 @@ class StrategyResolver(IResolver):
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"""
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Normalize attributes to have the correct type.
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"""
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# Assign deprecated variable - to not break users code relying on this.
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if hasattr(strategy, 'timeframe'):
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strategy.ticker_interval = strategy.timeframe
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# Sort and apply type conversions
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if hasattr(strategy, 'minimal_roi'):
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strategy.minimal_roi = dict(sorted(
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@ -55,7 +55,7 @@ class IStrategy(ABC, HyperStrategyMixin):
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Attributes you can use:
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minimal_roi -> Dict: Minimal ROI designed for the strategy
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stoploss -> float: optimal stoploss designed for the strategy
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timeframe -> str: value of the timeframe (ticker interval) to use with the strategy
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timeframe -> str: value of the timeframe to use with the strategy
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"""
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# Strategy interface version
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# Default to version 2
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@ -81,7 +81,6 @@ class IStrategy(ABC, HyperStrategyMixin):
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use_custom_stoploss: bool = False
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# associated timeframe
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ticker_interval: str # DEPRECATED
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timeframe: str
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# Optional order types
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