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Merge branch 'develop' into fix/3579

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Matthias 2020-08-12 15:28:51 +02:00
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17
.dependabot/config.yml
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@ -1,17 +0,0 @@
version: 1
update_configs:
- package_manager: "python"
directory: "/"
update_schedule: "weekly"
allowed_updates:
- match:
update_type: "all"
target_branch: "develop"
- package_manager: "docker"
directory: "/"
update_schedule: "daily"
allowed_updates:
- match:
update_type: "all"

13
.github/dependabot.yml vendored Normal file
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@ -0,0 +1,13 @@
version: 2
updates:
- package-ecosystem: docker
directory: "/"
schedule:
interval: daily
open-pull-requests-limit: 10
- package-ecosystem: pip
directory: "/"
schedule:
interval: weekly
open-pull-requests-limit: 10
target-branch: develop

2
Dockerfile
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@ -1,4 +1,4 @@
FROM python:3.8.4-slim-buster
FROM python:3.8.5-slim-buster
RUN apt-get update \
&& apt-get -y install curl build-essential libssl-dev sqlite3 \

2
config_full.json.example
View File

@ -66,7 +66,7 @@
},
{"method": "AgeFilter", "min_days_listed": 10},
{"method": "PrecisionFilter"},
{"method": "PriceFilter", "low_price_ratio": 0.01},
{"method": "PriceFilter", "low_price_ratio": 0.01, "min_price": 0.00000010},
{"method": "SpreadFilter", "max_spread_ratio": 0.005}
],
"exchange": {

15
docs/configuration.md
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@ -662,16 +662,25 @@ Filters low-value coins which would not allow setting stoplosses.
#### PriceFilter
The `PriceFilter` allows filtering of pairs by price.
The `PriceFilter` allows filtering of pairs by price. Currently the following price filters are supported:
* `min_price`
* `max_price`
* `low_price_ratio`
Currently, only `low_price_ratio` setting is implemented, where a raise of 1 price unit (pip) is below the `low_price_ratio` ratio.
The `min_price` setting removes pairs where the price is below the specified price. This is useful if you wish to avoid trading very low-priced pairs.
This option is disabled by default, and will only apply if set to <> 0.
The `max_price` setting removes pairs where the price is above the specified price. This is useful if you wish to trade only low-priced pairs.
This option is disabled by default, and will only apply if set to <> 0.
The `low_price_ratio` setting removes pairs where a raise of 1 price unit (pip) is above the `low_price_ratio` ratio.
This option is disabled by default, and will only apply if set to <> 0.
Calculation example:
Min price precision is 8 decimals. If price is 0.00000011 - one step would be 0.00000012 - which is almost 10% higher than the previous value.
These pairs are dangerous since it may be impossible to place the desired stoploss - and often result in high losses. Here is what the PriceFilters takes over.
These pairs are dangerous since it may be impossible to place the desired stoploss - and often result in high losses.
#### ShuffleFilter

2
docs/requirements-docs.txt
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@ -1,2 +1,2 @@
mkdocs-material==5.4.0
mkdocs-material==5.5.3
mdx_truly_sane_lists==1.2

45
docs/rest-api.md
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@ -46,7 +46,7 @@ secrets.token_hex()
### Configuration with docker
If you run your bot using docker, you'll need to have the bot listen to incomming connections. The security is then handled by docker.
If you run your bot using docker, you'll need to have the bot listen to incoming connections. The security is then handled by docker.
``` json
"api_server": {
@ -106,26 +106,29 @@ python3 scripts/rest_client.py --config rest_config.json <command> [optional par
## Available commands
| Command | Default | Description |
|----------|---------|-------------|
| `start` | | Starts the trader
| `stop` | | Stops the trader
| `stopbuy` | | Stops the trader from opening new trades. Gracefully closes open trades according to their rules.
| `reload_config` | | Reloads the configuration file
| `show_config` | | Shows part of the current configuration with relevant settings to operation
| `status` | | Lists all open trades
| `count` | | Displays number of trades used and available
| `profit` | | Display a summary of your profit/loss from close trades and some stats about your performance
| `forcesell <trade_id>` | | Instantly sells the given trade (Ignoring `minimum_roi`).
| `forcesell all` | | Instantly sells all open trades (Ignoring `minimum_roi`).
| `forcebuy <pair> [rate]` | | Instantly buys the given pair. Rate is optional. (`forcebuy_enable` must be set to True)
| `performance` | | Show performance of each finished trade grouped by pair
| `balance` | | Show account balance per currency
| `daily <n>` | 7 | Shows profit or loss per day, over the last n days
| `whitelist` | | Show the current whitelist
| `blacklist [pair]` | | Show the current blacklist, or adds a pair to the blacklist.
| `edge` | | Show validated pairs by Edge if it is enabled.
| `version` | | Show version
| Command | Description |
|----------|-------------|
| `ping` | Simple command testing the API Readiness - requires no authentication.
| `start` | Starts the trader
| `stop` | Stops the trader
| `stopbuy` | Stops the trader from opening new trades. Gracefully closes open trades according to their rules.
| `reload_config` | Reloads the configuration file
| `trades` | List last trades.
| `delete_trade <trade_id>` | Remove trade from the database. Tries to close open orders. Requires manual handling of this trade on the exchange.
| `show_config` | Shows part of the current configuration with relevant settings to operation
| `status` | Lists all open trades
| `count` | Displays number of trades used and available
| `profit` | Display a summary of your profit/loss from close trades and some stats about your performance
| `forcesell <trade_id>` | Instantly sells the given trade (Ignoring `minimum_roi`).
| `forcesell all` | Instantly sells all open trades (Ignoring `minimum_roi`).
| `forcebuy <pair> [rate]` | Instantly buys the given pair. Rate is optional. (`forcebuy_enable` must be set to True)
| `performance` | Show performance of each finished trade grouped by pair
| `balance` | Show account balance per currency
| `daily <n>` | Shows profit or loss per day, over the last n days (n defaults to 7)
| `whitelist` | Show the current whitelist
| `blacklist [pair]` | Show the current blacklist, or adds a pair to the blacklist.
| `edge` | Show validated pairs by Edge if it is enabled.
| `version` | Show version
Possible commands can be listed from the rest-client script using the `help` command.

2
docs/sql_cheatsheet.md
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@ -123,7 +123,7 @@ SET is_open=0,
close_date='2020-06-20 03:08:45.103418',
close_rate=0.19638016,
close_profit=0.0496,
close_profit_abs = (amount * 0.19638016 * (1 - fee_close) - (amount * open_rate * (1 - fee_open)))
close_profit_abs = (amount * 0.19638016 * (1 - fee_close) - (amount * open_rate * (1 - fee_open))),
sell_reason='force_sell'
WHERE id=31;
```

2
docs/stoploss.md
View File

@ -84,7 +84,7 @@ This option can be used with or without `trailing_stop_positive`, but uses `trai
``` python
trailing_stop_positive_offset = 0.011
trailing_only_offset_is_reached = true
trailing_only_offset_is_reached = True
```
Simplified example:

43
docs/strategy-customization.md
View File

@ -392,9 +392,9 @@ Imagine you've developed a strategy that trades the `5m` timeframe using signals
The strategy might look something like this:
*Scan through the top 10 pairs by volume using the `VolumePairList` every 5 minutes and use a 14 day ATR to buy and sell.*
*Scan through the top 10 pairs by volume using the `VolumePairList` every 5 minutes and use a 14 day RSI to buy and sell.*
Due to the limited available data, it's very difficult to resample our `5m` candles into daily candles for use in a 14 day ATR. Most exchanges limit us to just 500 candles which effectively gives us around 1.74 daily candles. We need 14 days at least!
Due to the limited available data, it's very difficult to resample our `5m` candles into daily candles for use in a 14 day RSI. Most exchanges limit us to just 500 candles which effectively gives us around 1.74 daily candles. We need 14 days at least!
Since we can't resample our data we will have to use an informative pair; and since our whitelist will be dynamic we don't know which pair(s) to use.
@ -416,12 +416,43 @@ class SampleStrategy(IStrategy):
informative_pairs = [(pair, '1d') for pair in pairs]
return informative_pairs
def populate_indicators(self, dataframe, metadata):
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
inf_tf = '1d'
# Get the informative pair
informative = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe='1d')
# Get the 14 day ATR.
atr = ta.ATR(informative, timeperiod=14)
# Get the 14 day rsi
informative['rsi'] = ta.RSI(informative, timeperiod=14)
# Rename columns to be unique
informative.columns = [f"{col}_{inf_tf}" for col in informative.columns]
# Assuming inf_tf = '1d' - then the columns will now be:
# date_1d, open_1d, high_1d, low_1d, close_1d, rsi_1d
# Combine the 2 dataframes
# all indicators on the informative sample MUST be calculated before this point
dataframe = pd.merge(dataframe, informative, left_on='date', right_on=f'date_{inf_tf}', how='left')
# FFill to have the 1d value available in every row throughout the day.
# Without this, comparisons would only work once per day.
dataframe = dataframe.ffill()
# Calculate rsi of the original dataframe (5m timeframe)
dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)
# Do other stuff
# ...
return dataframe
def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[
(
(qtpylib.crossed_above(dataframe['rsi'], 30)) & # Signal: RSI crosses above 30
(dataframe['rsi_1d'] < 30) & # Ensure daily RSI is < 30
(dataframe['volume'] > 0) # Ensure this candle had volume (important for backtesting)
),
'buy'] = 1
```
#### *get_pair_dataframe(pair, timeframe)*
@ -493,6 +524,7 @@ if self.dp:
data returned from the exchange and add appropriate error handling / defaults.
***
### Additional data (Wallets)
The strategy provides access to the `Wallets` object. This contains the current balances on the exchange.
@ -516,6 +548,7 @@ if self.wallets:
- `get_total(asset)` - total available balance - sum of the 2 above
***
### Additional data (Trades)
A history of Trades can be retrieved in the strategy by querying the database.

52
docs/telegram-usage.md
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@ -47,28 +47,30 @@ Per default, the Telegram bot shows predefined commands. Some commands
are only available by sending them to the bot. The table below list the
official commands. You can ask at any moment for help with `/help`.
| Command | Default | Description |
|----------|---------|-------------|
| `/start` | | Starts the trader
| `/stop` | | Stops the trader
| `/stopbuy` | | Stops the trader from opening new trades. Gracefully closes open trades according to their rules.
| `/reload_config` | | Reloads the configuration file
| `/show_config` | | Shows part of the current configuration with relevant settings to operation
| `/status` | | Lists all open trades
| `/status table` | | List all open trades in a table format. Pending buy orders are marked with an asterisk (*) Pending sell orders are marked with a double asterisk (**)
| `/count` | | Displays number of trades used and available
| `/profit` | | Display a summary of your profit/loss from close trades and some stats about your performance
| `/forcesell <trade_id>` | | Instantly sells the given trade (Ignoring `minimum_roi`).
| `/forcesell all` | | Instantly sells all open trades (Ignoring `minimum_roi`).
| `/forcebuy <pair> [rate]` | | Instantly buys the given pair. Rate is optional. (`forcebuy_enable` must be set to True)
| `/performance` | | Show performance of each finished trade grouped by pair
| `/balance` | | Show account balance per currency
| `/daily <n>` | 7 | Shows profit or loss per day, over the last n days
| `/whitelist` | | Show the current whitelist
| `/blacklist [pair]` | | Show the current blacklist, or adds a pair to the blacklist.
| `/edge` | | Show validated pairs by Edge if it is enabled.
| `/help` | | Show help message
| `/version` | | Show version
| Command | Description |
|----------|-------------|
| `/start` | Starts the trader
| `/stop` | Stops the trader
| `/stopbuy` | Stops the trader from opening new trades. Gracefully closes open trades according to their rules.
| `/reload_config` | Reloads the configuration file
| `/show_config` | Shows part of the current configuration with relevant settings to operation
| `/status` | Lists all open trades
| `/status table` | List all open trades in a table format. Pending buy orders are marked with an asterisk (*) Pending sell orders are marked with a double asterisk (**)
| `/trades [limit]` | List all recently closed trades in a table format.
| `/delete <trade_id>` | Delete a specific trade from the Database. Tries to close open orders. Requires manual handling of this trade on the exchange.
| `/count` | Displays number of trades used and available
| `/profit` | Display a summary of your profit/loss from close trades and some stats about your performance
| `/forcesell <trade_id>` | Instantly sells the given trade (Ignoring `minimum_roi`).
| `/forcesell all` | Instantly sells all open trades (Ignoring `minimum_roi`).
| `/forcebuy <pair> [rate]` | Instantly buys the given pair. Rate is optional. (`forcebuy_enable` must be set to True)
| `/performance` | Show performance of each finished trade grouped by pair
| `/balance` | Show account balance per currency
| `/daily <n>` | Shows profit or loss per day, over the last n days (n defaults to 7)
| `/whitelist` | Show the current whitelist
| `/blacklist [pair]` | Show the current blacklist, or adds a pair to the blacklist.
| `/edge` | Show validated pairs by Edge if it is enabled.
| `/help` | Show help message
| `/version` | Show version
## Telegram commands in action
@ -113,6 +115,7 @@ For each open trade, the bot will send you the following message.
### /status table
Return the status of all open trades in a table format.
```
ID Pair Since Profit
---- -------- ------- --------
@ -123,6 +126,7 @@ Return the status of all open trades in a table format.
### /count
Return the number of trades used and available.
```
current max
--------- -----
@ -208,7 +212,7 @@ Shows the current whitelist
Shows the current blacklist.
If Pair is set, then this pair will be added to the pairlist.
Also supports multiple pairs, seperated by a space.
Also supports multiple pairs, separated by a space.
Use `/reload_config` to reset the blacklist.
> Using blacklist `StaticPairList` with 2 pairs
@ -216,7 +220,7 @@ Use `/reload_config` to reset the blacklist.
### /edge
Shows pairs validated by Edge along with their corresponding winrate, expectancy and stoploss values.
Shows pairs validated by Edge along with their corresponding win-rate, expectancy and stoploss values.
> **Edge only validated following pairs:**
```

10
docs/utils.md
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@ -432,9 +432,9 @@ usage: freqtrade hyperopt-list [-h] [-v] [--logfile FILE] [-V] [-c PATH]
[--max-trades INT] [--min-avg-time FLOAT]
[--max-avg-time FLOAT] [--min-avg-profit FLOAT]
[--max-avg-profit FLOAT]
[--min-total-profit FLOAT]
[--max-total-profit FLOAT] [--no-color]
[--print-json] [--no-details]
[--min-total-profit FLOAT] [--max-total-profit FLOAT]
[--min-objective FLOAT] [--max-objective FLOAT]
[--no-color] [--print-json] [--no-details]
[--export-csv FILE]
optional arguments:
@ -453,6 +453,10 @@ optional arguments:
Select epochs on above total profit.
--max-total-profit FLOAT
Select epochs on below total profit.
--min-objective FLOAT
Select epochs on above objective (- is added by default).
--max-objective FLOAT
Select epochs on below objective (- is added by default).
--no-color Disable colorization of hyperopt results. May be
useful if you are redirecting output to a file.
--print-json Print best result detailization in JSON format.

4
docs/webhook-config.md
View File

@ -47,6 +47,7 @@ Different payloads can be configured for different events. Not all fields are ne
The fields in `webhook.webhookbuy` are filled when the bot executes a buy. Parameters are filled using string.format.
Possible parameters are:
* `trade_id`
* `exchange`
* `pair`
* `limit`
@ -63,6 +64,7 @@ Possible parameters are:
The fields in `webhook.webhookbuycancel` are filled when the bot cancels a buy order. Parameters are filled using string.format.
Possible parameters are:
* `trade_id`
* `exchange`
* `pair`
* `limit`
@ -79,6 +81,7 @@ Possible parameters are:
The fields in `webhook.webhooksell` are filled when the bot sells a trade. Parameters are filled using string.format.
Possible parameters are:
* `trade_id`
* `exchange`
* `pair`
* `gain`
@ -100,6 +103,7 @@ Possible parameters are:
The fields in `webhook.webhooksellcancel` are filled when the bot cancels a sell order. Parameters are filled using string.format.
Possible parameters are:
* `trade_id`
* `exchange`
* `pair`
* `gain`

1
freqtrade/commands/arguments.py
View File

@ -73,6 +73,7 @@ ARGS_HYPEROPT_LIST = ["hyperopt_list_best", "hyperopt_list_profitable",
"hyperopt_list_min_avg_time", "hyperopt_list_max_avg_time",
"hyperopt_list_min_avg_profit", "hyperopt_list_max_avg_profit",
"hyperopt_list_min_total_profit", "hyperopt_list_max_total_profit",
"hyperopt_list_min_objective", "hyperopt_list_max_objective",
"print_colorized", "print_json", "hyperopt_list_no_details",
"export_csv"]

24
freqtrade/commands/cli_options.py
View File

@ -455,37 +455,49 @@ AVAILABLE_CLI_OPTIONS = {
),
"hyperopt_list_min_avg_time": Arg(
'--min-avg-time',
help='Select epochs on above average time.',
help='Select epochs above average time.',
type=float,
metavar='FLOAT',
),
"hyperopt_list_max_avg_time": Arg(
'--max-avg-time',
help='Select epochs on under average time.',
help='Select epochs below average time.',
type=float,
metavar='FLOAT',
),
"hyperopt_list_min_avg_profit": Arg(
'--min-avg-profit',
help='Select epochs on above average profit.',
help='Select epochs above average profit.',
type=float,
metavar='FLOAT',
),
"hyperopt_list_max_avg_profit": Arg(
'--max-avg-profit',
help='Select epochs on below average profit.',
help='Select epochs below average profit.',
type=float,
metavar='FLOAT',
),
"hyperopt_list_min_total_profit": Arg(
'--min-total-profit',
help='Select epochs on above total profit.',
help='Select epochs above total profit.',
type=float,
metavar='FLOAT',
),
"hyperopt_list_max_total_profit": Arg(
'--max-total-profit',
help='Select epochs on below total profit.',
help='Select epochs below total profit.',
type=float,
metavar='FLOAT',
),
"hyperopt_list_min_objective": Arg(
'--min-objective',
help='Select epochs above objective.',
type=float,
metavar='FLOAT',
),
"hyperopt_list_max_objective": Arg(
'--max-objective',
help='Select epochs below objective.',
type=float,
metavar='FLOAT',
),

59
freqtrade/commands/hyperopt_commands.py
View File

@ -35,7 +35,9 @@ def start_hyperopt_list(args: Dict[str, Any]) -> None:
'filter_min_avg_profit': config.get('hyperopt_list_min_avg_profit', None),
'filter_max_avg_profit': config.get('hyperopt_list_max_avg_profit', None),
'filter_min_total_profit': config.get('hyperopt_list_min_total_profit', None),
'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None)
'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None),
'filter_min_objective': config.get('hyperopt_list_min_objective', None),
'filter_max_objective': config.get('hyperopt_list_max_objective', None),
}
results_file = (config['user_data_dir'] /
@ -45,7 +47,7 @@ def start_hyperopt_list(args: Dict[str, Any]) -> None:
epochs = Hyperopt.load_previous_results(results_file)
total_epochs = len(epochs)
epochs = _hyperopt_filter_epochs(epochs, filteroptions)
epochs = hyperopt_filter_epochs(epochs, filteroptions)
if print_colorized:
colorama_init(autoreset=True)
@ -92,14 +94,16 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
'filter_min_avg_profit': config.get('hyperopt_list_min_avg_profit', None),
'filter_max_avg_profit': config.get('hyperopt_list_max_avg_profit', None),
'filter_min_total_profit': config.get('hyperopt_list_min_total_profit', None),
'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None)
'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None),
'filter_min_objective': config.get('hyperopt_list_min_objective', None),
'filter_max_objective': config.get('hyperopt_list_max_objective', None)
}
# Previous evaluations
epochs = Hyperopt.load_previous_results(results_file)
total_epochs = len(epochs)
epochs = _hyperopt_filter_epochs(epochs, filteroptions)
epochs = hyperopt_filter_epochs(epochs, filteroptions)
filtered_epochs = len(epochs)
if n > filtered_epochs:
@ -119,7 +123,7 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
header_str="Epoch details")
def _hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
def hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
"""
Filter our items from the list of hyperopt results
"""
@ -127,6 +131,24 @@ def _hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
epochs = [x for x in epochs if x['is_best']]
if filteroptions['only_profitable']:
epochs = [x for x in epochs if x['results_metrics']['profit'] > 0]
epochs = _hyperopt_filter_epochs_trade_count(epochs, filteroptions)
epochs = _hyperopt_filter_epochs_duration(epochs, filteroptions)
epochs = _hyperopt_filter_epochs_profit(epochs, filteroptions)
epochs = _hyperopt_filter_epochs_objective(epochs, filteroptions)
logger.info(f"{len(epochs)} " +
("best " if filteroptions['only_best'] else "") +
("profitable " if filteroptions['only_profitable'] else "") +
"epochs found.")
return epochs
def _hyperopt_filter_epochs_trade_count(epochs: List, filteroptions: dict) -> List:
if filteroptions['filter_min_trades'] > 0:
epochs = [
x for x in epochs
@ -137,6 +159,11 @@ def _hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
x for x in epochs
if x['results_metrics']['trade_count'] < filteroptions['filter_max_trades']
]
return epochs
def _hyperopt_filter_epochs_duration(epochs: List, filteroptions: dict) -> List:
if filteroptions['filter_min_avg_time'] is not None:
epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0]
epochs = [
@ -149,6 +176,12 @@ def _hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
x for x in epochs
if x['results_metrics']['duration'] < filteroptions['filter_max_avg_time']
]
return epochs
def _hyperopt_filter_epochs_profit(epochs: List, filteroptions: dict) -> List:
if filteroptions['filter_min_avg_profit'] is not None:
epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0]
epochs = [
@ -173,10 +206,18 @@ def _hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
x for x in epochs
if x['results_metrics']['profit'] < filteroptions['filter_max_total_profit']
]
return epochs
logger.info(f"{len(epochs)} " +
("best " if filteroptions['only_best'] else "") +
("profitable " if filteroptions['only_profitable'] else "") +
"epochs found.")
def _hyperopt_filter_epochs_objective(epochs: List, filteroptions: dict) -> List:
if filteroptions['filter_min_objective'] is not None:
epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0]
epochs = [x for x in epochs if x['loss'] < filteroptions['filter_min_objective']]
if filteroptions['filter_max_objective'] is not None:
epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0]
epochs = [x for x in epochs if x['loss'] > filteroptions['filter_max_objective']]
return epochs

6
freqtrade/configuration/configuration.py
View File

@ -334,6 +334,12 @@ class Configuration:
self._args_to_config(config, argname='hyperopt_list_max_total_profit',
logstring='Parameter --max-total-profit detected: {}')
self._args_to_config(config, argname='hyperopt_list_min_objective',
logstring='Parameter --min-objective detected: {}')
self._args_to_config(config, argname='hyperopt_list_max_objective',
logstring='Parameter --max-objective detected: {}')
self._args_to_config(config, argname='hyperopt_list_no_details',
logstring='Parameter --no-details detected: {}')

4
freqtrade/constants.py
View File

@ -156,7 +156,9 @@ CONF_SCHEMA = {
'emergencysell': {'type': 'string', 'enum': ORDERTYPE_POSSIBILITIES},
'stoploss': {'type': 'string', 'enum': ORDERTYPE_POSSIBILITIES},
'stoploss_on_exchange': {'type': 'boolean'},
'stoploss_on_exchange_interval': {'type': 'number'}
'stoploss_on_exchange_interval': {'type': 'number'},
'stoploss_on_exchange_limit_ratio': {'type': 'number', 'minimum': 0.0,
'maximum': 1.0}
},
'required': ['buy', 'sell', 'stoploss', 'stoploss_on_exchange']
},

4
freqtrade/edge/edge_positioning.py
View File

@ -281,8 +281,8 @@ class Edge:
#
# Removing Pumps
if self.edge_config.get('remove_pumps', False):
results = results.groupby(['pair', 'stoploss']).apply(
lambda x: x[x['profit_abs'] < 2 * x['profit_abs'].std() + x['profit_abs'].mean()])
results = results[results['profit_abs'] < 2 * results['profit_abs'].std()
+ results['profit_abs'].mean()]
##########################################################################
# Removing trades having a duration more than X minutes (set in config)

8
freqtrade/exchange/common.py
View File

@ -107,12 +107,12 @@ def retrier_async(f):
except TemporaryError as ex:
logger.warning('%s() returned exception: "%s"', f.__name__, ex)
if count > 0:
logger.warning('retrying %s() still for %s times', f.__name__, count)
count -= 1
kwargs.update({'count': count})
logger.warning('retrying %s() still for %s times', f.__name__, count)
if isinstance(ex, DDosProtection):
backoff_delay = calculate_backoff(count + 1, API_RETRY_COUNT)
logger.debug(f"Applying DDosProtection backoff delay: {backoff_delay}")
logger.info(f"Applying DDosProtection backoff delay: {backoff_delay}")
await asyncio.sleep(backoff_delay)
return await wrapper(*args, **kwargs)
else:
@ -131,13 +131,13 @@ def retrier(_func=None, retries=API_RETRY_COUNT):
except (TemporaryError, RetryableOrderError) as ex:
logger.warning('%s() returned exception: "%s"', f.__name__, ex)
if count > 0:
logger.warning('retrying %s() still for %s times', f.__name__, count)
count -= 1
kwargs.update({'count': count})
logger.warning('retrying %s() still for %s times', f.__name__, count)
if isinstance(ex, DDosProtection) or isinstance(ex, RetryableOrderError):
# increasing backoff
backoff_delay = calculate_backoff(count + 1, retries)
logger.debug(f"Applying DDosProtection backoff delay: {backoff_delay}")
logger.info(f"Applying DDosProtection backoff delay: {backoff_delay}")
time.sleep(backoff_delay)
return wrapper(*args, **kwargs)
else:

17
freqtrade/exchange/exchange.py
View File

@ -187,6 +187,11 @@ class Exchange:
def timeframes(self) -> List[str]:
return list((self._api.timeframes or {}).keys())
@property
def ohlcv_candle_limit(self) -> int:
"""exchange ohlcv candle limit"""
return int(self._ohlcv_candle_limit)
@property
def markets(self) -> Dict:
"""exchange ccxt markets"""
@ -253,8 +258,8 @@ class Exchange:
api.urls['api'] = api.urls['test']
logger.info("Enabled Sandbox API on %s", name)
else:
logger.warning(name, "No Sandbox URL in CCXT, exiting. "
"Please check your config.json")
logger.warning(
f"No Sandbox URL in CCXT for {name}, exiting. Please check your config.json")
raise OperationalException(f'Exchange {name} does not provide a sandbox api')
def _load_async_markets(self, reload: bool = False) -> None:
@ -995,7 +1000,7 @@ class Exchange:
if self.is_cancel_order_result_suitable(corder):
return corder
except InvalidOrderException:
logger.warning(f"Could not cancel order {order_id}.")
logger.warning(f"Could not cancel order {order_id} for {pair}.")
try:
order = self.fetch_order(order_id, pair)
except InvalidOrderException:
@ -1004,7 +1009,7 @@ class Exchange:
return order
@retrier
@retrier(retries=5)
def fetch_order(self, order_id: str, pair: str) -> Dict:
if self._config['dry_run']:
try:
@ -1018,10 +1023,10 @@ class Exchange:
return self._api.fetch_order(order_id, pair)
except ccxt.OrderNotFound as e:
raise RetryableOrderError(
f'Order not found (id: {order_id}). Message: {e}') from e
f'Order not found (pair: {pair} id: {order_id}). Message: {e}') from e
except ccxt.InvalidOrder as e:
raise InvalidOrderException(
f'Tried to get an invalid order (id: {order_id}). Message: {e}') from e
f'Tried to get an invalid order (pair: {pair} id: {order_id}). Message: {e}') from e
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:

2
freqtrade/exchange/ftx.py
View File

@ -78,7 +78,7 @@ class Ftx(Exchange):
except ccxt.BaseError as e:
raise OperationalException(e) from e
@retrier
@retrier(retries=5)
def fetch_stoploss_order(self, order_id: str, pair: str) -> Dict:
if self._config['dry_run']:
try:

16
freqtrade/freqtradebot.py
View File

@ -600,6 +600,7 @@ class FreqtradeBot:
Sends rpc notification when a buy occured.
"""
msg = {
'trade_id': trade.id,
'type': RPCMessageType.BUY_NOTIFICATION,
'exchange': self.exchange.name.capitalize(),
'pair': trade.pair,
@ -623,6 +624,7 @@ class FreqtradeBot:
current_rate = self.get_buy_rate(trade.pair, False)
msg = {
'trade_id': trade.id,
'type': RPCMessageType.BUY_CANCEL_NOTIFICATION,
'exchange': self.exchange.name.capitalize(),
'pair': trade.pair,
@ -660,7 +662,7 @@ class FreqtradeBot:
trades_closed += 1
except DependencyException as exception:
logger.warning('Unable to sell trade: %s', exception)
logger.warning('Unable to sell trade %s: %s', trade.pair, exception)
# Updating wallets if any trade occured
if trades_closed:
@ -827,10 +829,8 @@ class FreqtradeBot:
return False
# If buy order is fulfilled but there is no stoploss, we add a stoploss on exchange
if (not stoploss_order):
if not stoploss_order:
stoploss = self.edge.stoploss(pair=trade.pair) if self.edge else self.strategy.stoploss
stop_price = trade.open_rate * (1 + stoploss)
if self.create_stoploss_order(trade=trade, stop_price=stop_price, rate=stop_price):
@ -978,6 +978,12 @@ class FreqtradeBot:
reason = constants.CANCEL_REASON['TIMEOUT']
corder = self.exchange.cancel_order_with_result(trade.open_order_id, trade.pair,
trade.amount)
# Avoid race condition where the order could not be cancelled coz its already filled.
# Simply bailing here is the only safe way - as this order will then be
# handled in the next iteration.
if corder.get('status') not in ('canceled', 'closed'):
logger.warning(f"Order {trade.open_order_id} for {trade.pair} not cancelled.")
return False
else:
# Order was cancelled already, so we can reuse the existing dict
corder = order
@ -1153,6 +1159,7 @@ class FreqtradeBot:
msg = {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': trade.id,
'exchange': trade.exchange.capitalize(),
'pair': trade.pair,
'gain': gain,
@ -1195,6 +1202,7 @@ class FreqtradeBot:
msg = {
'type': RPCMessageType.SELL_CANCEL_NOTIFICATION,
'trade_id': trade.id,
'exchange': trade.exchange.capitalize(),
'pair': trade.pair,
'gain': gain,

2
freqtrade/optimize/backtesting.py
View File

@ -101,7 +101,7 @@ class Backtesting:
if len(self.pairlists.whitelist) == 0:
raise OperationalException("No pair in whitelist.")
if config.get('fee'):
if config.get('fee', None) is not None:
self.fee = config['fee']
else:
self.fee = self.exchange.get_fee(symbol=self.pairlists.whitelist[0])

8
freqtrade/pairlist/AgeFilter.py
View File

@ -5,6 +5,7 @@ import logging
import arrow
from typing import Any, Dict
from freqtrade.exceptions import OperationalException
from freqtrade.misc import plural
from freqtrade.pairlist.IPairList import IPairList
@ -23,6 +24,13 @@ class AgeFilter(IPairList):
super().__init__(exchange, pairlistmanager, config, pairlistconfig, pairlist_pos)
self._min_days_listed = pairlistconfig.get('min_days_listed', 10)
if self._min_days_listed < 1:
raise OperationalException("AgeFilter requires min_days_listed must be >= 1")
if self._min_days_listed > exchange.ohlcv_candle_limit:
raise OperationalException("AgeFilter requires min_days_listed must not exceed "
"exchange max request size "
f"({exchange.ohlcv_candle_limit})")
self._enabled = self._min_days_listed >= 1
@property

39
freqtrade/pairlist/PriceFilter.py
View File

@ -18,7 +18,11 @@ class PriceFilter(IPairList):
super().__init__(exchange, pairlistmanager, config, pairlistconfig, pairlist_pos)
self._low_price_ratio = pairlistconfig.get('low_price_ratio', 0)
self._enabled = self._low_price_ratio != 0
self._min_price = pairlistconfig.get('min_price', 0)
self._max_price = pairlistconfig.get('max_price', 0)
self._enabled = ((self._low_price_ratio != 0) or
(self._min_price != 0) or
(self._max_price != 0))
@property
def needstickers(self) -> bool:
@ -33,7 +37,18 @@ class PriceFilter(IPairList):
"""
Short whitelist method description - used for startup-messages
"""
return f"{self.name} - Filtering pairs priced below {self._low_price_ratio * 100}%."
active_price_filters = []
if self._low_price_ratio != 0:
active_price_filters.append(f"below {self._low_price_ratio * 100}%")
if self._min_price != 0:
active_price_filters.append(f"below {self._min_price:.8f}")
if self._max_price != 0:
active_price_filters.append(f"above {self._max_price:.8f}")
if len(active_price_filters):
return f"{self.name} - Filtering pairs priced {' or '.join(active_price_filters)}."
return f"{self.name} - No price filters configured."
def _validate_pair(self, ticker) -> bool:
"""
@ -41,15 +56,33 @@ class PriceFilter(IPairList):
:param ticker: ticker dict as returned from ccxt.load_markets()
:return: True if the pair can stay, false if it should be removed
"""
if ticker['last'] is None:
if ticker['last'] is None or ticker['last'] == 0:
self.log_on_refresh(logger.info,
f"Removed {ticker['symbol']} from whitelist, because "
"ticker['last'] is empty (Usually no trade in the last 24h).")
return False
# Perform low_price_ratio check.
if self._low_price_ratio != 0:
compare = self._exchange.price_get_one_pip(ticker['symbol'], ticker['last'])
changeperc = compare / ticker['last']
if changeperc > self._low_price_ratio:
self.log_on_refresh(logger.info, f"Removed {ticker['symbol']} from whitelist, "
f"because 1 unit is {changeperc * 100:.3f}%")
return False
# Perform min_price check.
if self._min_price != 0:
if ticker['last'] < self._min_price:
self.log_on_refresh(logger.info, f"Removed {ticker['symbol']} from whitelist, "
f"because last price < {self._min_price:.8f}")
return False
# Perform max_price check.
if self._max_price != 0:
if ticker['last'] > self._max_price:
self.log_on_refresh(logger.info, f"Removed {ticker['symbol']} from whitelist, "
f"because last price > {self._max_price:.8f}")
return False
return True

6
freqtrade/plot/plotting.py
View File

@ -10,11 +10,13 @@ from freqtrade.data.btanalysis import (calculate_max_drawdown,
create_cum_profit,
extract_trades_of_period, load_trades)
from freqtrade.data.converter import trim_dataframe
from freqtrade.data.dataprovider import DataProvider
from freqtrade.data.history import load_data
from freqtrade.exceptions import OperationalException
from freqtrade.exchange import timeframe_to_prev_date
from freqtrade.misc import pair_to_filename
from freqtrade.resolvers import StrategyResolver
from freqtrade.resolvers import ExchangeResolver, StrategyResolver
from freqtrade.strategy import IStrategy
logger = logging.getLogger(__name__)
@ -467,6 +469,8 @@ def load_and_plot_trades(config: Dict[str, Any]):
"""
strategy = StrategyResolver.load_strategy(config)
exchange = ExchangeResolver.load_exchange(config['exchange']['name'], config)
IStrategy.dp = DataProvider(config, exchange)
plot_elements = init_plotscript(config)
trades = plot_elements['trades']
pair_counter = 0

6
freqtrade/resolvers/hyperopt_resolver.py
View File

@ -42,13 +42,13 @@ class HyperOptResolver(IResolver):
extra_dir=config.get('hyperopt_path'))
if not hasattr(hyperopt, 'populate_indicators'):
logger.warning("Hyperopt class does not provide populate_indicators() method. "
logger.info("Hyperopt class does not provide populate_indicators() method. "
"Using populate_indicators from the strategy.")
if not hasattr(hyperopt, 'populate_buy_trend'):
logger.warning("Hyperopt class does not provide populate_buy_trend() method. "
logger.info("Hyperopt class does not provide populate_buy_trend() method. "
"Using populate_buy_trend from the strategy.")
if not hasattr(hyperopt, 'populate_sell_trend'):
logger.warning("Hyperopt class does not provide populate_sell_trend() method. "
logger.info("Hyperopt class does not provide populate_sell_trend() method. "
"Using populate_sell_trend from the strategy.")
return hyperopt

17
freqtrade/rpc/api_server.py
View File

@ -56,7 +56,7 @@ def require_login(func: Callable[[Any, Any], Any]):
# Type should really be Callable[[ApiServer], Any], but that will create a circular dependency
def rpc_catch_errors(func: Callable[[Any], Any]):
def rpc_catch_errors(func: Callable[..., Any]):
def func_wrapper(obj, *args, **kwargs):
@ -200,6 +200,8 @@ class ApiServer(RPC):
view_func=self._ping, methods=['GET'])
self.app.add_url_rule(f'{BASE_URI}/trades', 'trades',
view_func=self._trades, methods=['GET'])
self.app.add_url_rule(f'{BASE_URI}/trades/<int:tradeid>', 'trades_delete',
view_func=self._trades_delete, methods=['DELETE'])
# Combined actions and infos
self.app.add_url_rule(f'{BASE_URI}/blacklist', 'blacklist', view_func=self._blacklist,
methods=['GET', 'POST'])
@ -424,6 +426,19 @@ class ApiServer(RPC):
results = self._rpc_trade_history(limit)
return self.rest_dump(results)
@require_login
@rpc_catch_errors
def _trades_delete(self, tradeid):
"""
Handler for DELETE /trades/<tradeid> endpoint.
Removes the trade from the database (tries to cancel open orders first!)
get:
param:
tradeid: Numeric trade-id assigned to the trade.
"""
result = self._rpc_delete(tradeid)
return self.rest_dump(result)
@require_login
@rpc_catch_errors
def _whitelist(self):

57
freqtrade/rpc/rpc.py
View File

@ -6,14 +6,14 @@ from abc import abstractmethod
from datetime import date, datetime, timedelta
from enum import Enum
from math import isnan
from typing import Any, Dict, List, Optional, Tuple
from typing import Any, Dict, List, Optional, Tuple, Union
import arrow
from numpy import NAN, mean
from freqtrade.exceptions import ExchangeError, PricingError
from freqtrade.exchange import timeframe_to_msecs, timeframe_to_minutes
from freqtrade.exceptions import (ExchangeError, InvalidOrderException,
PricingError)
from freqtrade.exchange import timeframe_to_minutes, timeframe_to_msecs
from freqtrade.misc import shorten_date
from freqtrade.persistence import Trade
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
@ -252,9 +252,10 @@ class RPC:
def _rpc_trade_history(self, limit: int) -> Dict:
""" Returns the X last trades """
if limit > 0:
trades = Trade.get_trades().order_by(Trade.id.desc()).limit(limit)
trades = Trade.get_trades([Trade.is_open.is_(False)]).order_by(
Trade.id.desc()).limit(limit)
else:
trades = Trade.get_trades().order_by(Trade.id.desc()).all()
trades = Trade.get_trades([Trade.is_open.is_(False)]).order_by(Trade.id.desc()).all()
output = [trade.to_json() for trade in trades]
@ -523,7 +524,7 @@ class RPC:
# check if valid pair
# check if pair already has an open pair
trade = Trade.get_trades([Trade.is_open.is_(True), Trade.pair.is_(pair)]).first()
trade = Trade.get_trades([Trade.is_open.is_(True), Trade.pair == pair]).first()
if trade:
raise RPCException(f'position for {pair} already open - id: {trade.id}')
@ -532,11 +533,51 @@ class RPC:
# execute buy
if self._freqtrade.execute_buy(pair, stakeamount, price):
trade = Trade.get_trades([Trade.is_open.is_(True), Trade.pair.is_(pair)]).first()
trade = Trade.get_trades([Trade.is_open.is_(True), Trade.pair == pair]).first()
return trade
else:
return None
def _rpc_delete(self, trade_id: str) -> Dict[str, Union[str, int]]:
"""
Handler for delete <id>.
Delete the given trade and close eventually existing open orders.
"""
with self._freqtrade._sell_lock:
c_count = 0
trade = Trade.get_trades(trade_filter=[Trade.id == trade_id]).first()
if not trade:
logger.warning('delete trade: Invalid argument received')
raise RPCException('invalid argument')
# Try cancelling regular order if that exists
if trade.open_order_id:
try:
self._freqtrade.exchange.cancel_order(trade.open_order_id, trade.pair)
c_count += 1
except (ExchangeError, InvalidOrderException):
pass
# cancel stoploss on exchange ...
if (self._freqtrade.strategy.order_types.get('stoploss_on_exchange')
and trade.stoploss_order_id):
try:
self._freqtrade.exchange.cancel_stoploss_order(trade.stoploss_order_id,
trade.pair)
c_count += 1
except (ExchangeError, InvalidOrderException):
pass
Trade.session.delete(trade)
Trade.session.flush()
self._freqtrade.wallets.update()
return {
'result': 'success',
'trade_id': trade_id,
'result_msg': f'Deleted trade {trade_id}. Closed {c_count} open orders.',
'cancel_order_count': c_count,
}
def _rpc_performance(self) -> List[Dict[str, Any]]:
"""
Handler for performance.

61
freqtrade/rpc/telegram.py
View File

@ -5,6 +5,7 @@ This module manage Telegram communication
"""
import json
import logging
import arrow
from typing import Any, Callable, Dict
from tabulate import tabulate
@ -92,6 +93,8 @@ class Telegram(RPC):
CommandHandler('stop', self._stop),
CommandHandler('forcesell', self._forcesell),
CommandHandler('forcebuy', self._forcebuy),
CommandHandler('trades', self._trades),
CommandHandler('delete', self._delete_trade),
CommandHandler('performance', self._performance),
CommandHandler('daily', self._daily),
CommandHandler('count', self._count),
@ -496,6 +499,62 @@ class Telegram(RPC):
except RPCException as e:
self._send_msg(str(e))
@authorized_only
def _trades(self, update: Update, context: CallbackContext) -> None:
"""
Handler for /trades <n>
Returns last n recent trades.
:param bot: telegram bot
:param update: message update
:return: None
"""
stake_cur = self._config['stake_currency']
try:
nrecent = int(context.args[0])
except (TypeError, ValueError, IndexError):
nrecent = 10
try:
trades = self._rpc_trade_history(
nrecent
)
trades_tab = tabulate(
[[arrow.get(trade['open_date']).humanize(),
trade['pair'],
f"{(100 * trade['close_profit']):.2f}% ({trade['close_profit_abs']})"]
for trade in trades['trades']],
headers=[
'Open Date',
'Pair',
f'Profit ({stake_cur})',
],
tablefmt='simple')
message = (f"<b>{min(trades['trades_count'], nrecent)} recent trades</b>:\n"
+ (f"<pre>{trades_tab}</pre>" if trades['trades_count'] > 0 else ''))
self._send_msg(message, parse_mode=ParseMode.HTML)
except RPCException as e:
self._send_msg(str(e))
@authorized_only
def _delete_trade(self, update: Update, context: CallbackContext) -> None:
"""
Handler for /delete <id>.
Delete the given trade
:param bot: telegram bot
:param update: message update
:return: None
"""
trade_id = context.args[0] if len(context.args) > 0 else None
try:
msg = self._rpc_delete(trade_id)
self._send_msg((
'`{result_msg}`\n'
'Please make sure to take care of this asset on the exchange manually.'
).format(**msg))
except RPCException as e:
self._send_msg(str(e))
@authorized_only
def _performance(self, update: Update, context: CallbackContext) -> None:
"""
@ -609,10 +668,12 @@ class Telegram(RPC):
" *table :* `will display trades in a table`\n"
" `pending buy orders are marked with an asterisk (*)`\n"
" `pending sell orders are marked with a double asterisk (**)`\n"
"*/trades [limit]:* `Lists last closed trades (limited to 10 by default)`\n"
"*/profit:* `Lists cumulative profit from all finished trades`\n"
"*/forcesell <trade_id>|all:* `Instantly sells the given trade or all trades, "
"regardless of profit`\n"
f"{forcebuy_text if self._config.get('forcebuy_enable', False) else ''}"
"*/delete <trade_id>:* `Instantly delete the given trade in the database`\n"
"*/performance:* `Show performance of each finished trade grouped by pair`\n"
"*/daily <n>:* `Shows profit or loss per day, over the last n days`\n"
"*/count:* `Show number of trades running compared to allowed number of trades`"

2
freqtrade/templates/subtemplates/strategy_methods_advanced.j2
View File

@ -34,7 +34,7 @@ def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: f
"""
return True
def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float,
def confirm_trade_exit(self, pair: str, trade: 'Trade', order_type: str, amount: float,
rate: float, time_in_force: str, sell_reason: str, **kwargs) -> bool:
"""
Called right before placing a regular sell order.

6
requirements-common.txt
View File

@ -1,12 +1,12 @@
# requirements without requirements installable via conda
# mainly used for Raspberry pi installs
ccxt==1.30.93
ccxt==1.32.88
SQLAlchemy==1.3.18
python-telegram-bot==12.8
arrow==0.15.7
arrow==0.15.8
cachetools==4.1.1
requests==2.24.0
urllib3==1.25.9
urllib3==1.25.10
wrapt==1.12.1
jsonschema==3.2.0
TA-Lib==0.4.18

2
requirements-dev.txt
View File

@ -8,7 +8,7 @@ flake8==3.8.3
flake8-type-annotations==0.1.0
flake8-tidy-imports==4.1.0
mypy==0.782
pytest==5.4.3
pytest==6.0.1
pytest-asyncio==0.14.0
pytest-cov==2.10.0
pytest-mock==3.2.0

2
requirements-hyperopt.txt
View File

@ -2,7 +2,7 @@
-r requirements.txt
# Required for hyperopt
scipy==1.5.1
scipy==1.5.2
scikit-learn==0.23.1
scikit-optimize==0.7.4
filelock==3.0.12

2
requirements-plot.txt
View File

@ -1,5 +1,5 @@
# Include all requirements to run the bot.
-r requirements.txt
plotly==4.8.2
plotly==4.9.0

4
requirements.txt
View File

@ -1,5 +1,5 @@
# Load common requirements
-r requirements-common.txt
numpy==1.19.0
pandas==1.0.5
numpy==1.19.1
pandas==1.1.0

12
scripts/rest_client.py
View File

@ -62,6 +62,9 @@ class FtRestClient():
def _get(self, apipath, params: dict = None):
return self._call("GET", apipath, params=params)
def _delete(self, apipath, params: dict = None):
return self._call("DELETE", apipath, params=params)
def _post(self, apipath, params: dict = None, data: dict = None):
return self._call("POST", apipath, params=params, data=data)
@ -164,6 +167,15 @@ class FtRestClient():
"""
return self._get("trades", params={"limit": limit} if limit else 0)
def delete_trade(self, trade_id):
"""Delete trade from the database.
Tries to close open orders. Requires manual handling of this asset on the exchange.
:param trade_id: Deletes the trade with this ID from the database.
:return: json object
"""
return self._delete("trades/{}".format(trade_id))
def whitelist(self):
"""Show the current whitelist.

56
tests/commands/test_commands.py
View File

@ -736,7 +736,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--no-details"
"--no-details",
]
pargs = get_args(args)
pargs['config'] = None
@ -749,7 +749,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--best",
"--no-details"
"--no-details",
]
pargs = get_args(args)
pargs['config'] = None
@ -763,7 +763,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--profitable",
"--no-details"
"--no-details",
]
pargs = get_args(args)
pargs['config'] = None
@ -776,7 +776,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
" 11/12", " 12/12"])
args = [
"hyperopt-list",
"--profitable"
"--profitable",
]
pargs = get_args(args)
pargs['config'] = None
@ -792,7 +792,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
"hyperopt-list",
"--no-details",
"--no-color",
"--min-trades", "20"
"--min-trades", "20",
]
pargs = get_args(args)
pargs['config'] = None
@ -806,7 +806,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
"hyperopt-list",
"--profitable",
"--no-details",
"--max-trades", "20"
"--max-trades", "20",
]
pargs = get_args(args)
pargs['config'] = None
@ -821,7 +821,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
"hyperopt-list",
"--profitable",
"--no-details",
"--min-avg-profit", "0.11"
"--min-avg-profit", "0.11",
]
pargs = get_args(args)
pargs['config'] = None
@ -835,7 +835,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--no-details",
"--max-avg-profit", "0.10"
"--max-avg-profit", "0.10",
]
pargs = get_args(args)
pargs['config'] = None
@ -849,7 +849,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--no-details",
"--min-total-profit", "0.4"
"--min-total-profit", "0.4",
]
pargs = get_args(args)
pargs['config'] = None
@ -863,7 +863,35 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--no-details",
"--max-total-profit", "0.4"
"--max-total-profit", "0.4",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 5/12", " 6/12", " 7/12", " 8/12",
" 9/12", " 11/12"])
assert all(x not in captured.out
for x in [" 4/12", " 10/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--min-objective", "0.1",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 10/12"])
assert all(x not in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12",
" 9/12", " 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--max-objective", "0.1",
]
pargs = get_args(args)
pargs['config'] = None
@ -878,7 +906,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
"hyperopt-list",
"--profitable",
"--no-details",
"--min-avg-time", "2000"
"--min-avg-time", "2000",
]
pargs = get_args(args)
pargs['config'] = None
@ -892,7 +920,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--no-details",
"--max-avg-time", "1500"
"--max-avg-time", "1500",
]
pargs = get_args(args)
pargs['config'] = None
@ -906,7 +934,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--no-details",
"--export-csv", "test_file.csv"
"--export-csv", "test_file.csv",
]
pargs = get_args(args)
pargs['config'] = None
@ -1089,7 +1117,7 @@ def test_show_trades(mocker, fee, capsys, caplog):
pargs = get_args(args)
pargs['config'] = None
start_show_trades(pargs)
assert log_has("Printing 3 Trades: ", caplog)
assert log_has("Printing 4 Trades: ", caplog)
captured = capsys.readouterr()
assert "Trade(id=1" in captured.out
assert "Trade(id=2" in captured.out

64
tests/conftest.py
View File

@ -201,6 +201,20 @@ def create_mock_trades(fee):
)
Trade.session.add(trade)
trade = Trade(
pair='XRP/BTC',
stake_amount=0.001,
amount=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.05,
close_rate=0.06,
close_profit=0.01,
exchange='bittrex',
is_open=False,
)
Trade.session.add(trade)
# Simulate prod entry
trade = Trade(
pair='ETC/BTC',
@ -664,7 +678,8 @@ def shitcoinmarkets(markets):
Fixture with shitcoin markets - used to test filters in pairlists
"""
shitmarkets = deepcopy(markets)
shitmarkets.update({'HOT/BTC': {
shitmarkets.update({
'HOT/BTC': {
'id': 'HOTBTC',
'symbol': 'HOT/BTC',
'base': 'HOT',
@ -770,6 +785,31 @@ def shitcoinmarkets(markets):
"future": False,
"active": True
},
'ADADOUBLE/USDT': {
"percentage": True,
"tierBased": False,
"taker": 0.001,
"maker": 0.001,
"precision": {
"base": 8,
"quote": 8,
"amount": 2,
"price": 4
},
"limits": {
},
"id": "ADADOUBLEUSDT",
"symbol": "ADADOUBLE/USDT",
"base": "ADADOUBLE",
"quote": "USDT",
"baseId": "ADADOUBLE",
"quoteId": "USDT",
"info": {},
"type": "spot",
"spot": True,
"future": False,
"active": True
},
})
return shitmarkets
@ -1391,6 +1431,28 @@ def tickers():
"quoteVolume": 0.0,
"info": {}
},
"ADADOUBLE/USDT": {
"symbol": "ADADOUBLE/USDT",
"timestamp": 1580469388244,
"datetime": "2020-01-31T11:16:28.244Z",
"high": None,
"low": None,
"bid": 0.7305,
"bidVolume": None,
"ask": 0.7342,
"askVolume": None,
"vwap": None,
"open": None,
"close": None,
"last": 0,
"previousClose": None,
"change": None,
"percentage": 2.628,
"average": None,
"baseVolume": 0.0,
"quoteVolume": 0.0,
"info": {}
},
})

2
tests/data/test_btanalysis.py
View File

@ -43,7 +43,7 @@ def test_load_trades_from_db(default_conf, fee, mocker):
trades = load_trades_from_db(db_url=default_conf['db_url'])
assert init_mock.call_count == 1
assert len(trades) == 3
assert len(trades) == 4
assert isinstance(trades, DataFrame)
assert "pair" in trades.columns
assert "open_time" in trades.columns

95
tests/edge/test_edge.py
View File

@ -409,3 +409,98 @@ def test_process_expectancy(mocker, edge_conf, fee, risk_reward_ratio, expectanc
final = edge._process_expectancy(trades_df)
assert len(final) == 0
assert isinstance(final, dict)
def test_process_expectancy_remove_pumps(mocker, edge_conf, fee,):
edge_conf['edge']['min_trade_number'] = 2
edge_conf['edge']['remove_pumps'] = True
freqtrade = get_patched_freqtradebot(mocker, edge_conf)
freqtrade.exchange.get_fee = fee
edge = Edge(edge_conf, freqtrade.exchange, freqtrade.strategy)
trades = [
{'pair': 'TEST/BTC',
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_time': np.datetime64('2018-10-03T00:05:00.000000000'),
'close_time': np.datetime64('2018-10-03T00:10:00.000000000'),
'open_index': 1,
'close_index': 1,
'trade_duration': '',
'open_rate': 17,
'close_rate': 15,
'exit_type': 'sell_signal'},
{'pair': 'TEST/BTC',
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_time': np.datetime64('2018-10-03T00:20:00.000000000'),
'close_time': np.datetime64('2018-10-03T00:25:00.000000000'),
'open_index': 4,
'close_index': 4,
'trade_duration': '',
'open_rate': 20,
'close_rate': 10,
'exit_type': 'sell_signal'},
{'pair': 'TEST/BTC',
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_time': np.datetime64('2018-10-03T00:20:00.000000000'),
'close_time': np.datetime64('2018-10-03T00:25:00.000000000'),
'open_index': 4,
'close_index': 4,
'trade_duration': '',
'open_rate': 20,
'close_rate': 10,
'exit_type': 'sell_signal'},
{'pair': 'TEST/BTC',
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_time': np.datetime64('2018-10-03T00:20:00.000000000'),
'close_time': np.datetime64('2018-10-03T00:25:00.000000000'),
'open_index': 4,
'close_index': 4,
'trade_duration': '',
'open_rate': 20,
'close_rate': 10,
'exit_type': 'sell_signal'},
{'pair': 'TEST/BTC',
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_time': np.datetime64('2018-10-03T00:20:00.000000000'),
'close_time': np.datetime64('2018-10-03T00:25:00.000000000'),
'open_index': 4,
'close_index': 4,
'trade_duration': '',
'open_rate': 20,
'close_rate': 10,
'exit_type': 'sell_signal'},
{'pair': 'TEST/BTC',
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_time': np.datetime64('2018-10-03T00:30:00.000000000'),
'close_time': np.datetime64('2018-10-03T00:40:00.000000000'),
'open_index': 6,
'close_index': 7,
'trade_duration': '',
'open_rate': 26,
'close_rate': 134,
'exit_type': 'sell_signal'}
]
trades_df = DataFrame(trades)
trades_df = edge._fill_calculable_fields(trades_df)
final = edge._process_expectancy(trades_df)
assert 'TEST/BTC' in final
assert final['TEST/BTC'].stoploss == -0.9
assert final['TEST/BTC'].nb_trades == len(trades_df) - 1
assert round(final['TEST/BTC'].winrate, 10) == 0.0

25
tests/exchange/test_exchange.py
View File

@ -714,13 +714,13 @@ def test_validate_order_types(default_conf, mocker):
mocker.patch('freqtrade.exchange.Exchange.validate_timeframes')
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
mocker.patch('freqtrade.exchange.Exchange.name', 'Bittrex')
default_conf['order_types'] = {
'buy': 'limit',
'sell': 'limit',
'stoploss': 'market',
'stoploss_on_exchange': False
}
Exchange(default_conf)
type(api_mock).has = PropertyMock(return_value={'createMarketOrder': False})
@ -730,9 +730,8 @@ def test_validate_order_types(default_conf, mocker):
'buy': 'limit',
'sell': 'limit',
'stoploss': 'market',
'stoploss_on_exchange': 'false'
'stoploss_on_exchange': False
}
with pytest.raises(OperationalException,
match=r'Exchange .* does not support market orders.'):
Exchange(default_conf)
@ -743,7 +742,6 @@ def test_validate_order_types(default_conf, mocker):
'stoploss': 'limit',
'stoploss_on_exchange': True
}
with pytest.raises(OperationalException,
match=r'On exchange stoploss is not supported for .*'):
Exchange(default_conf)
@ -1820,7 +1818,7 @@ def test_cancel_order_with_result_error(default_conf, mocker, exchange_name, cap
res = exchange.cancel_order_with_result('1234', 'ETH/BTC', 1541)
assert isinstance(res, dict)
assert log_has("Could not cancel order 1234.", caplog)
assert log_has("Could not cancel order 1234 for ETH/BTC.", caplog)
assert log_has("Could not fetch cancelled order 1234.", caplog)
assert res['amount'] == 1541
@ -1898,10 +1896,10 @@ def test_fetch_order(default_conf, mocker, exchange_name):
assert tm.call_args_list[1][0][0] == 2
assert tm.call_args_list[2][0][0] == 5
assert tm.call_args_list[3][0][0] == 10
assert api_mock.fetch_order.call_count == API_RETRY_COUNT + 1
assert api_mock.fetch_order.call_count == 6
ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
'fetch_order', 'fetch_order',
'fetch_order', 'fetch_order', retries=6,
order_id='_', pair='TKN/BTC')
@ -1934,6 +1932,7 @@ def test_fetch_stoploss_order(default_conf, mocker, exchange_name):
ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
'fetch_stoploss_order', 'fetch_order',
retries=6,
order_id='_', pair='TKN/BTC')
@ -2317,6 +2316,18 @@ def test_calculate_fee_rate(mocker, default_conf, order, expected) -> None:
(3, 3, 1),
(0, 1, 2),
(1, 1, 1),
(0, 4, 17),
(1, 4, 10),
(2, 4, 5),
(3, 4, 2),
(4, 4, 1),
(0, 5, 26),
(1, 5, 17),
(2, 5, 10),
(3, 5, 5),
(4, 5, 2),
(5, 5, 1),
])
def test_calculate_backoff(retrycount, max_retries, expected):
assert calculate_backoff(retrycount, max_retries) == expected

1
tests/exchange/test_ftx.py
View File

@ -154,4 +154,5 @@ def test_fetch_stoploss_order(default_conf, mocker):
ccxt_exceptionhandlers(mocker, default_conf, api_mock, 'ftx',
'fetch_stoploss_order', 'fetch_orders',
retries=6,
order_id='_', pair='TKN/BTC')

5
tests/optimize/test_backtesting.py
View File

@ -308,6 +308,11 @@ def test_data_with_fee(default_conf, mocker, testdatadir) -> None:
assert backtesting.fee == 0.1234
assert fee_mock.call_count == 0
default_conf['fee'] = 0.0
backtesting = Backtesting(default_conf)
assert backtesting.fee == 0.0
assert fee_mock.call_count == 0
def test_data_to_dataframe_bt(default_conf, mocker, testdatadir) -> None:
patch_exchange(mocker)

87
tests/pairlist/test_pairlist.py
View File

@ -235,7 +235,7 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "bidVolume"}],
"BTC", ['HOT/BTC', 'FUEL/BTC', 'XRP/BTC', 'LTC/BTC', 'TKN/BTC']),
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"}],
"USDT", ['ETH/USDT', 'NANO/USDT', 'ADAHALF/USDT']),
"USDT", ['ETH/USDT', 'NANO/USDT', 'ADAHALF/USDT', 'ADADOUBLE/USDT']),
# No pair for ETH, VolumePairList
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"}],
"ETH", []),
@ -275,11 +275,16 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "PriceFilter", "low_price_ratio": 0.03}],
"USDT", ['ETH/USDT', 'NANO/USDT']),
# Hot is removed by precision_filter, Fuel by low_price_filter.
# Hot is removed by precision_filter, Fuel by low_price_ratio, Ripple by min_price.
([{"method": "VolumePairList", "number_assets": 6, "sort_key": "quoteVolume"},
{"method": "PrecisionFilter"},
{"method": "PriceFilter", "low_price_ratio": 0.02}],
"BTC", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'XRP/BTC']),
{"method": "PriceFilter", "low_price_ratio": 0.02, "min_price": 0.01}],
"BTC", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC']),
# Hot is removed by precision_filter, Fuel by low_price_ratio, Ethereum by max_price.
([{"method": "VolumePairList", "number_assets": 6, "sort_key": "quoteVolume"},
{"method": "PrecisionFilter"},
{"method": "PriceFilter", "low_price_ratio": 0.02, "max_price": 0.05}],
"BTC", ['TKN/BTC', 'LTC/BTC', 'XRP/BTC']),
# HOT and XRP are removed because below 1250 quoteVolume
([{"method": "VolumePairList", "number_assets": 5,
"sort_key": "quoteVolume", "min_value": 1250}],
@ -298,11 +303,11 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
# ShuffleFilter
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "ShuffleFilter", "seed": 77}],
"USDT", ['ETH/USDT', 'ADAHALF/USDT', 'NANO/USDT']),
"USDT", ['ADADOUBLE/USDT', 'ETH/USDT', 'NANO/USDT', 'ADAHALF/USDT']),
# ShuffleFilter, other seed
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "ShuffleFilter", "seed": 42}],
"USDT", ['NANO/USDT', 'ETH/USDT', 'ADAHALF/USDT']),
"USDT", ['ADAHALF/USDT', 'NANO/USDT', 'ADADOUBLE/USDT', 'ETH/USDT']),
# ShuffleFilter, no seed
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "ShuffleFilter"}],
@ -319,7 +324,7 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
"BTC", 'filter_at_the_beginning'), # OperationalException expected
# PriceFilter after StaticPairList
([{"method": "StaticPairList"},
{"method": "PriceFilter", "low_price_ratio": 0.02}],
{"method": "PriceFilter", "low_price_ratio": 0.02, "min_price": 0.000001, "max_price": 0.1}],
"BTC", ['ETH/BTC', 'TKN/BTC']),
# PriceFilter only
([{"method": "PriceFilter", "low_price_ratio": 0.02}],
@ -342,6 +347,9 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "bidVolume"},
{"method": "StaticPairList"}],
"BTC", 'static_in_the_middle'),
([{"method": "VolumePairList", "number_assets": 20, "sort_key": "quoteVolume"},
{"method": "PriceFilter", "low_price_ratio": 0.02}],
"USDT", ['ETH/USDT', 'NANO/USDT']),
])
def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, tickers,
ohlcv_history_list, pairlists, base_currency,
@ -396,6 +404,10 @@ def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, t
r'would be <= stop limit.*', caplog)
if pairlist['method'] == 'PriceFilter' and whitelist_result:
assert (log_has_re(r'^Removed .* from whitelist, because 1 unit is .*%$', caplog) or
log_has_re(r'^Removed .* from whitelist, '
r'because last price < .*%$', caplog) or
log_has_re(r'^Removed .* from whitelist, '
r'because last price > .*%$', caplog) or
log_has_re(r"^Removed .* from whitelist, because ticker\['last'\] "
r"is empty.*", caplog))
if pairlist['method'] == 'VolumePairList':
@ -524,6 +536,37 @@ def test_volumepairlist_caching(mocker, markets, whitelist_conf, tickers):
assert freqtrade.pairlists._pairlist_handlers[0]._last_refresh == lrf
def test_agefilter_min_days_listed_too_small(mocker, default_conf, markets, tickers, caplog):
default_conf['pairlists'] = [{'method': 'VolumePairList', 'number_assets': 10},
{'method': 'AgeFilter', 'min_days_listed': -1}]
mocker.patch.multiple('freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
exchange_has=MagicMock(return_value=True),
get_tickers=tickers
)
with pytest.raises(OperationalException,
match=r'AgeFilter requires min_days_listed must be >= 1'):
get_patched_freqtradebot(mocker, default_conf)
def test_agefilter_min_days_listed_too_large(mocker, default_conf, markets, tickers, caplog):
default_conf['pairlists'] = [{'method': 'VolumePairList', 'number_assets': 10},
{'method': 'AgeFilter', 'min_days_listed': 99999}]
mocker.patch.multiple('freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
exchange_has=MagicMock(return_value=True),
get_tickers=tickers
)
with pytest.raises(OperationalException,
match=r'AgeFilter requires min_days_listed must not exceed '
r'exchange max request size \([0-9]+\)'):
get_patched_freqtradebot(mocker, default_conf)
def test_agefilter_caching(mocker, markets, whitelist_conf_3, tickers, ohlcv_history_list):
mocker.patch.multiple('freqtrade.exchange.Exchange',
@ -547,6 +590,36 @@ def test_agefilter_caching(mocker, markets, whitelist_conf_3, tickers, ohlcv_his
assert freqtrade.exchange.get_historic_ohlcv.call_count == previous_call_count
@pytest.mark.parametrize("pairlistconfig,expected", [
({"method": "PriceFilter", "low_price_ratio": 0.001, "min_price": 0.00000010,
"max_price": 1.0}, "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below "
"0.1% or below 0.00000010 or above 1.00000000.'}]"
),
({"method": "PriceFilter", "low_price_ratio": 0.001, "min_price": 0.00000010},
"[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.1% or below 0.00000010.'}]"
),
({"method": "PriceFilter", "low_price_ratio": 0.001, "max_price": 1.00010000},
"[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.1% or above 1.00010000.'}]"
),
({"method": "PriceFilter", "min_price": 0.00002000},
"[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.00002000.'}]"
),
({"method": "PriceFilter"},
"[{'PriceFilter': 'PriceFilter - No price filters configured.'}]"
),
])
def test_pricefilter_desc(mocker, whitelist_conf, markets, pairlistconfig, expected):
mocker.patch.multiple('freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
exchange_has=MagicMock(return_value=True)
)
whitelist_conf['pairlists'] = [pairlistconfig]
freqtrade = get_patched_freqtradebot(mocker, whitelist_conf)
short_desc = str(freqtrade.pairlists.short_desc())
assert short_desc == expected
def test_pairlistmanager_no_pairlist(mocker, markets, whitelist_conf, caplog):
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=True))

68
tests/rpc/test_rpc.py
View File

@ -8,7 +8,7 @@ import pytest
from numpy import isnan
from freqtrade.edge import PairInfo
from freqtrade.exceptions import ExchangeError, TemporaryError
from freqtrade.exceptions import ExchangeError, InvalidOrderException, TemporaryError
from freqtrade.persistence import Trade
from freqtrade.rpc import RPC, RPCException
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
@ -286,12 +286,66 @@ def test_rpc_trade_history(mocker, default_conf, markets, fee):
assert isinstance(trades['trades'][1], dict)
trades = rpc._rpc_trade_history(0)
assert len(trades['trades']) == 3
assert trades['trades_count'] == 3
# The first trade is for ETH ... sorting is descending
assert trades['trades'][-1]['pair'] == 'ETH/BTC'
assert trades['trades'][0]['pair'] == 'ETC/BTC'
assert trades['trades'][1]['pair'] == 'ETC/BTC'
assert len(trades['trades']) == 2
assert trades['trades_count'] == 2
# The first closed trade is for ETC ... sorting is descending
assert trades['trades'][-1]['pair'] == 'ETC/BTC'
assert trades['trades'][0]['pair'] == 'XRP/BTC'
def test_rpc_delete_trade(mocker, default_conf, fee, markets, caplog):
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
stoploss_mock = MagicMock()
cancel_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
cancel_order=cancel_mock,
cancel_stoploss_order=stoploss_mock,
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
freqtradebot.strategy.order_types['stoploss_on_exchange'] = True
create_mock_trades(fee)
rpc = RPC(freqtradebot)
with pytest.raises(RPCException, match='invalid argument'):
rpc._rpc_delete('200')
create_mock_trades(fee)
trades = Trade.query.all()
trades[1].stoploss_order_id = '1234'
trades[2].stoploss_order_id = '1234'
assert len(trades) > 2
res = rpc._rpc_delete('1')
assert isinstance(res, dict)
assert res['result'] == 'success'
assert res['trade_id'] == '1'
assert res['cancel_order_count'] == 1
assert cancel_mock.call_count == 1
assert stoploss_mock.call_count == 0
cancel_mock.reset_mock()
stoploss_mock.reset_mock()
res = rpc._rpc_delete('2')
assert isinstance(res, dict)
assert cancel_mock.call_count == 1
assert stoploss_mock.call_count == 1
assert res['cancel_order_count'] == 2
stoploss_mock = mocker.patch('freqtrade.exchange.Exchange.cancel_stoploss_order',
side_effect=InvalidOrderException)
res = rpc._rpc_delete('3')
assert stoploss_mock.call_count == 1
stoploss_mock.reset_mock()
cancel_mock = mocker.patch('freqtrade.exchange.Exchange.cancel_order',
side_effect=InvalidOrderException)
res = rpc._rpc_delete('4')
assert cancel_mock.call_count == 1
assert stoploss_mock.call_count == 0
def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,

57
tests/rpc/test_rpc_apiserver.py
View File

@ -50,6 +50,12 @@ def client_get(client, url):
'Origin': 'http://example.com'})
def client_delete(client, url):
# Add fake Origin to ensure CORS kicks in
return client.delete(url, headers={'Authorization': _basic_auth_str(_TEST_USER, _TEST_PASS),
'Origin': 'http://example.com'})
def assert_response(response, expected_code=200, needs_cors=True):
assert response.status_code == expected_code
assert response.content_type == "application/json"
@ -352,7 +358,7 @@ def test_api_daily(botclient, mocker, ticker, fee, markets):
assert rc.json['data'][0]['date'] == str(datetime.utcnow().date())
def test_api_trades(botclient, mocker, ticker, fee, markets):
def test_api_trades(botclient, mocker, fee, markets):
ftbot, client = botclient
patch_get_signal(ftbot, (True, False))
mocker.patch.multiple(
@ -368,12 +374,53 @@ def test_api_trades(botclient, mocker, ticker, fee, markets):
rc = client_get(client, f"{BASE_URI}/trades")
assert_response(rc)
assert len(rc.json['trades']) == 3
assert rc.json['trades_count'] == 3
rc = client_get(client, f"{BASE_URI}/trades?limit=2")
assert_response(rc)
assert len(rc.json['trades']) == 2
assert rc.json['trades_count'] == 2
rc = client_get(client, f"{BASE_URI}/trades?limit=1")
assert_response(rc)
assert len(rc.json['trades']) == 1
assert rc.json['trades_count'] == 1
def test_api_delete_trade(botclient, mocker, fee, markets):
ftbot, client = botclient
patch_get_signal(ftbot, (True, False))
stoploss_mock = MagicMock()
cancel_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
cancel_order=cancel_mock,
cancel_stoploss_order=stoploss_mock,
)
rc = client_delete(client, f"{BASE_URI}/trades/1")
# Error - trade won't exist yet.
assert_response(rc, 502)
create_mock_trades(fee)
ftbot.strategy.order_types['stoploss_on_exchange'] = True
trades = Trade.query.all()
trades[1].stoploss_order_id = '1234'
assert len(trades) > 2
rc = client_delete(client, f"{BASE_URI}/trades/1")
assert_response(rc)
assert rc.json['result_msg'] == 'Deleted trade 1. Closed 1 open orders.'
assert len(trades) - 1 == len(Trade.query.all())
assert cancel_mock.call_count == 1
cancel_mock.reset_mock()
rc = client_delete(client, f"{BASE_URI}/trades/1")
# Trade is gone now.
assert_response(rc, 502)
assert cancel_mock.call_count == 0
assert len(trades) - 1 == len(Trade.query.all())
rc = client_delete(client, f"{BASE_URI}/trades/2")
assert_response(rc)
assert rc.json['result_msg'] == 'Deleted trade 2. Closed 2 open orders.'
assert len(trades) - 2 == len(Trade.query.all())
assert stoploss_mock.call_count == 1
def test_api_edge_disabled(botclient, mocker, ticker, fee, markets):

75
tests/rpc/test_rpc_telegram.py
View File

@ -21,8 +21,9 @@ from freqtrade.rpc import RPCMessageType
from freqtrade.rpc.telegram import Telegram, authorized_only
from freqtrade.state import State
from freqtrade.strategy.interface import SellType
from tests.conftest import (get_patched_freqtradebot, log_has, patch_exchange,
patch_get_signal, patch_whitelist)
from tests.conftest import (create_mock_trades, get_patched_freqtradebot,
log_has, patch_exchange, patch_get_signal,
patch_whitelist)
class DummyCls(Telegram):
@ -60,7 +61,7 @@ def test__init__(default_conf, mocker) -> None:
assert telegram._config == default_conf
def test_init(default_conf, mocker, caplog) -> None:
def test_telegram_init(default_conf, mocker, caplog) -> None:
start_polling = MagicMock()
mocker.patch('freqtrade.rpc.telegram.Updater', MagicMock(return_value=start_polling))
@ -72,10 +73,10 @@ def test_init(default_conf, mocker, caplog) -> None:
assert start_polling.start_polling.call_count == 1
message_str = ("rpc.telegram is listening for following commands: [['status'], ['profit'], "
"['balance'], ['start'], ['stop'], ['forcesell'], ['forcebuy'], "
"['performance'], ['daily'], ['count'], ['reload_config', 'reload_conf'], "
"['show_config', 'show_conf'], ['stopbuy'], ['whitelist'], ['blacklist'], "
"['edge'], ['help'], ['version']]")
"['balance'], ['start'], ['stop'], ['forcesell'], ['forcebuy'], ['trades'], "
"['delete'], ['performance'], ['daily'], ['count'], ['reload_config', "
"'reload_conf'], ['show_config', 'show_conf'], ['stopbuy'], "
"['whitelist'], ['blacklist'], ['edge'], ['help'], ['version']]")
assert log_has(message_str, caplog)
@ -725,6 +726,7 @@ def test_telegram_forcesell_handle(default_conf, update, ticker, fee,
last_msg = rpc_mock.call_args_list[-1][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': 1,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'profit',
@ -784,6 +786,7 @@ def test_telegram_forcesell_down_handle(default_conf, update, ticker, fee,
last_msg = rpc_mock.call_args_list[-1][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': 1,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'loss',
@ -832,6 +835,7 @@ def test_forcesell_all_handle(default_conf, update, ticker, fee, mocker) -> None
msg = rpc_mock.call_args_list[0][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': 1,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'loss',
@ -1143,6 +1147,63 @@ def test_edge_enabled(edge_conf, update, mocker) -> None:
assert 'Pair Winrate Expectancy Stoploss' in msg_mock.call_args_list[0][0][0]
def test_telegram_trades(mocker, update, default_conf, fee):
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
_send_msg=msg_mock
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
context = MagicMock()
context.args = []
telegram._trades(update=update, context=context)
assert "<b>0 recent trades</b>:" in msg_mock.call_args_list[0][0][0]
assert "<pre>" not in msg_mock.call_args_list[0][0][0]
msg_mock.reset_mock()
create_mock_trades(fee)
context = MagicMock()
context.args = [5]
telegram._trades(update=update, context=context)
msg_mock.call_count == 1
assert "2 recent trades</b>:" in msg_mock.call_args_list[0][0][0]
assert "Profit (" in msg_mock.call_args_list[0][0][0]
assert "Open Date" in msg_mock.call_args_list[0][0][0]
assert "<pre>" in msg_mock.call_args_list[0][0][0]
def test_telegram_delete_trade(mocker, update, default_conf, fee):
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
_send_msg=msg_mock
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
context = MagicMock()
context.args = []
telegram._delete_trade(update=update, context=context)
assert "invalid argument" in msg_mock.call_args_list[0][0][0]
msg_mock.reset_mock()
create_mock_trades(fee)
context = MagicMock()
context.args = [1]
telegram._delete_trade(update=update, context=context)
msg_mock.call_count == 1
assert "Deleted trade 1." in msg_mock.call_args_list[0][0][0]
assert "Please make sure to take care of this asset" in msg_mock.call_args_list[0][0][0]
def test_help_handle(default_conf, update, mocker) -> None:
msg_mock = MagicMock()
mocker.patch.multiple(

8
tests/test_configuration.py
View File

@ -871,6 +871,14 @@ def test_load_config_default_exchange_name(all_conf) -> None:
validate_config_schema(all_conf)
def test_load_config_stoploss_exchange_limit_ratio(all_conf) -> None:
all_conf['order_types']['stoploss_on_exchange_limit_ratio'] = 1.15
with pytest.raises(ValidationError,
match=r"1.15 is greater than the maximum"):
validate_config_schema(all_conf)
@pytest.mark.parametrize("keys", [("exchange", "sandbox", False),
("exchange", "key", ""),
("exchange", "secret", ""),

40
tests/test_freqtradebot.py
View File

@ -1660,6 +1660,7 @@ def test_exit_positions_exception(mocker, default_conf, limit_buy_order, caplog)
trade = MagicMock()
trade.open_order_id = None
trade.open_fee = 0.001
trade.pair = 'ETH/BTC'
trades = [trade]
# Test raise of DependencyException exception
@ -1669,7 +1670,7 @@ def test_exit_positions_exception(mocker, default_conf, limit_buy_order, caplog)
)
n = freqtrade.exit_positions(trades)
assert n == 0
assert log_has('Unable to sell trade: ', caplog)
assert log_has('Unable to sell trade ETH/BTC: ', caplog)
def test_update_trade_state(mocker, default_conf, limit_buy_order, caplog) -> None:
@ -1726,6 +1727,7 @@ def test_update_trade_state_withorderdict(default_conf, trades_for_order, limit_
amount=amount,
exchange='binance',
open_rate=0.245441,
open_date=arrow.utcnow().datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_order_id="123456",
@ -1816,6 +1818,7 @@ def test_update_trade_state_sell(default_conf, trades_for_order, limit_sell_orde
open_rate=0.245441,
fee_open=0.0025,
fee_close=0.0025,
open_date=arrow.utcnow().datetime,
open_order_id="123456",
is_open=True,
)
@ -2023,11 +2026,16 @@ def test_check_handle_timedout_buy_usercustom(default_conf, ticker, limit_buy_or
rpc_mock = patch_RPCManager(mocker)
cancel_order_mock = MagicMock(return_value=limit_buy_order_old)
cancel_buy_order = deepcopy(limit_buy_order_old)
cancel_buy_order['status'] = 'canceled'
cancel_order_wr_mock = MagicMock(return_value=cancel_buy_order)
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
fetch_order=MagicMock(return_value=limit_buy_order_old),
cancel_order_with_result=cancel_order_wr_mock,
cancel_order=cancel_order_mock,
get_fee=fee
)
@ -2060,7 +2068,7 @@ def test_check_handle_timedout_buy_usercustom(default_conf, ticker, limit_buy_or
freqtrade.strategy.check_buy_timeout = MagicMock(return_value=True)
# Trade should be closed since the function returns true
freqtrade.check_handle_timedout()
assert cancel_order_mock.call_count == 1
assert cancel_order_wr_mock.call_count == 1
assert rpc_mock.call_count == 1
trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all()
nb_trades = len(trades)
@ -2071,7 +2079,9 @@ def test_check_handle_timedout_buy_usercustom(default_conf, ticker, limit_buy_or
def test_check_handle_timedout_buy(default_conf, ticker, limit_buy_order_old, open_trade,
fee, mocker) -> None:
rpc_mock = patch_RPCManager(mocker)
cancel_order_mock = MagicMock(return_value=limit_buy_order_old)
limit_buy_cancel = deepcopy(limit_buy_order_old)
limit_buy_cancel['status'] = 'canceled'
cancel_order_mock = MagicMock(return_value=limit_buy_cancel)
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -2259,7 +2269,10 @@ def test_check_handle_cancelled_sell(default_conf, ticker, limit_sell_order_old,
def test_check_handle_timedout_partial(default_conf, ticker, limit_buy_order_old_partial,
open_trade, mocker) -> None:
rpc_mock = patch_RPCManager(mocker)
cancel_order_mock = MagicMock(return_value=limit_buy_order_old_partial)
limit_buy_canceled = deepcopy(limit_buy_order_old_partial)
limit_buy_canceled['status'] = 'canceled'
cancel_order_mock = MagicMock(return_value=limit_buy_canceled)
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -2392,7 +2405,11 @@ def test_check_handle_timedout_exception(default_conf, ticker, open_trade, mocke
def test_handle_cancel_buy(mocker, caplog, default_conf, limit_buy_order) -> None:
patch_RPCManager(mocker)
patch_exchange(mocker)
cancel_order_mock = MagicMock(return_value=limit_buy_order)
cancel_buy_order = deepcopy(limit_buy_order)
cancel_buy_order['status'] = 'canceled'
del cancel_buy_order['filled']
cancel_order_mock = MagicMock(return_value=cancel_buy_order)
mocker.patch('freqtrade.exchange.Exchange.cancel_order_with_result', cancel_order_mock)
freqtrade = FreqtradeBot(default_conf)
@ -2412,9 +2429,12 @@ def test_handle_cancel_buy(mocker, caplog, default_conf, limit_buy_order) -> Non
assert not freqtrade.handle_cancel_buy(trade, limit_buy_order, reason)
assert cancel_order_mock.call_count == 1
limit_buy_order['filled'] = 2
mocker.patch('freqtrade.exchange.Exchange.cancel_order', side_effect=InvalidOrderException)
# Order remained open for some reason (cancel failed)
cancel_buy_order['status'] = 'open'
cancel_order_mock = MagicMock(return_value=cancel_buy_order)
mocker.patch('freqtrade.exchange.Exchange.cancel_order_with_result', cancel_order_mock)
assert not freqtrade.handle_cancel_buy(trade, limit_buy_order, reason)
assert log_has_re(r"Order .* for .* not cancelled.", caplog)
@pytest.mark.parametrize("limit_buy_order_canceled_empty", ['binance', 'ftx', 'kraken', 'bittrex'],
@ -2572,6 +2592,7 @@ def test_execute_sell_up(default_conf, ticker, fee, ticker_sell_up, mocker) -> N
assert rpc_mock.call_count == 1
last_msg = rpc_mock.call_args_list[-1][0][0]
assert {
'trade_id': 1,
'type': RPCMessageType.SELL_NOTIFICATION,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
@ -2622,6 +2643,7 @@ def test_execute_sell_down(default_conf, ticker, fee, ticker_sell_down, mocker)
last_msg = rpc_mock.call_args_list[-1][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': 1,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'loss',
@ -2678,6 +2700,7 @@ def test_execute_sell_down_stoploss_on_exchange_dry_run(default_conf, ticker, fe
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': 1,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'loss',
@ -2883,6 +2906,7 @@ def test_execute_sell_market_order(default_conf, ticker, fee,
last_msg = rpc_mock.call_args_list[-1][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': 1,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'profit',
@ -4090,7 +4114,7 @@ def test_cancel_all_open_orders(mocker, default_conf, fee, limit_buy_order, limi
freqtrade = get_patched_freqtradebot(mocker, default_conf)
create_mock_trades(fee)
trades = Trade.query.all()
assert len(trades) == 3
assert len(trades) == 4
freqtrade.cancel_all_open_orders()
assert buy_mock.call_count == 1
assert sell_mock.call_count == 1

6
tests/test_persistence.py
View File

@ -995,7 +995,7 @@ def test_get_overall_performance(fee):
create_mock_trades(fee)
res = Trade.get_overall_performance()
assert len(res) == 1
assert len(res) == 2
assert 'pair' in res[0]
assert 'profit' in res[0]
assert 'count' in res[0]
@ -1010,5 +1010,5 @@ def test_get_best_pair(fee):
create_mock_trades(fee)
res = Trade.get_best_pair()
assert len(res) == 2
assert res[0] == 'ETC/BTC'
assert res[1] == 0.005
assert res[0] == 'XRP/BTC'
assert res[1] == 0.01

4
tests/test_plotting.py
View File

@ -21,7 +21,7 @@ from freqtrade.plot.plotting import (add_indicators, add_profit,
load_and_plot_trades, plot_profit,
plot_trades, store_plot_file)
from freqtrade.resolvers import StrategyResolver
from tests.conftest import get_args, log_has, log_has_re
from tests.conftest import get_args, log_has, log_has_re, patch_exchange
def fig_generating_mock(fig, *args, **kwargs):
@ -316,6 +316,8 @@ def test_start_plot_dataframe(mocker):
def test_load_and_plot_trades(default_conf, mocker, caplog, testdatadir):
patch_exchange(mocker)
default_conf['trade_source'] = 'file'
default_conf["datadir"] = testdatadir
default_conf['exportfilename'] = testdatadir / "backtest-result_test.json"