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Merge branch 'develop' into pr/mkavinkumar1/6545

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Matthias 2022-06-14 06:36:16 +02:00
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28
.github/workflows/ci.yml vendored
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@ -13,6 +13,10 @@ on:
schedule:
- cron: '0 5 * * 4'
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build_linux:
@ -26,7 +30,7 @@ jobs:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v3
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
@ -123,7 +127,7 @@ jobs:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v3
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
@ -207,7 +211,7 @@ jobs:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v3
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
@ -259,7 +263,7 @@ jobs:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v3
uses: actions/setup-python@v4
with:
python-version: "3.10"
@ -278,7 +282,7 @@ jobs:
./tests/test_docs.sh
- name: Set up Python
uses: actions/setup-python@v3
uses: actions/setup-python@v4
with:
python-version: "3.10"
@ -296,18 +300,6 @@ jobs:
details: Freqtrade doc test failed!
webhookUrl: ${{ secrets.DISCORD_WEBHOOK }}
cleanup-prior-runs:
permissions:
actions: write # for rokroskar/workflow-run-cleanup-action to obtain workflow name & cancel it
contents: read # for rokroskar/workflow-run-cleanup-action to obtain branch
runs-on: ubuntu-20.04
steps:
- name: Cleanup previous runs on this branch
uses: rokroskar/workflow-run-cleanup-action@v0.3.3
if: "!startsWith(github.ref, 'refs/tags/') && github.ref != 'refs/heads/stable' && github.repository == 'freqtrade/freqtrade'"
env:
GITHUB_TOKEN: "${{ secrets.GITHUB_TOKEN }}"
# Notify only once - when CI completes (and after deploy) in case it's successfull
notify-complete:
needs: [ build_linux, build_macos, build_windows, docs_check, mypy_version_check ]
@ -344,7 +336,7 @@ jobs:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v3
uses: actions/setup-python@v4
with:
python-version: "3.9"

6
.pre-commit-config.yaml
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@ -14,10 +14,10 @@ repos:
exclude: build_helpers
additional_dependencies:
- types-cachetools==5.0.1
- types-filelock==3.2.6
- types-requests==2.27.27
- types-filelock==3.2.7
- types-requests==2.27.30
- types-tabulate==0.8.9
- types-python-dateutil==2.8.16
- types-python-dateutil==2.8.17
# stages: [push]
- repo: https://github.com/pycqa/isort

2
Dockerfile
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@ -1,4 +1,4 @@
FROM python:3.10.4-slim-bullseye as base
FROM python:3.10.5-slim-bullseye as base
# Setup env
ENV LANG C.UTF-8

17
docs/advanced-hyperopt.md
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@ -98,6 +98,23 @@ class MyAwesomeStrategy(IStrategy):
!!! Note
All overrides are optional and can be mixed/matched as necessary.
### Dynamic parameters
Parameters can also be defined dynamically, but must be available to the instance once the * [`bot_start()` callback](strategy-callbacks.md#bot-start) has been called.
``` python
class MyAwesomeStrategy(IStrategy):
def bot_start(self, **kwargs) -> None:
self.buy_adx = IntParameter(20, 30, default=30, optimize=True)
# ...
```
!!! Warning
Parameters created this way will not show up in the `list-strategies` parameter count.
### Overriding Base estimator
You can define your own estimator for Hyperopt by implementing `generate_estimator()` in the Hyperopt subclass.

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2
docs/hyperopt.md
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@ -680,7 +680,7 @@ class MyAwesomeStrategy(IStrategy):
!!! Note
Values in the configuration file will overwrite Parameter-file level parameters - and both will overwrite parameters within the strategy.
The prevalence is therefore: config > parameter file > strategy
The prevalence is therefore: config > parameter file > strategy `*_params` > parameter default
### Understand Hyperopt ROI results

4
docs/requirements-docs.txt
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@ -1,5 +1,5 @@
mkdocs==1.3.0
mkdocs-material==8.2.15
mkdocs-material==8.3.4
mdx_truly_sane_lists==1.2
pymdown-extensions==9.4
pymdown-extensions==9.5
jinja2==3.1.2

20
docs/sql_cheatsheet.md
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@ -89,11 +89,12 @@ WHERE id=31;
If you'd still like to remove a trade from the database directly, you can use the below query.
```sql
DELETE FROM trades WHERE id = <tradeid>;
```
!!! Danger
Some systems (Ubuntu) disable foreign keys in their sqlite3 packaging. When using sqlite - please ensure that foreign keys are on by running `PRAGMA foreign_keys = ON` before the above query.
```sql
DELETE FROM trades WHERE id = <tradeid>;
DELETE FROM trades WHERE id = 31;
```
@ -102,13 +103,20 @@ DELETE FROM trades WHERE id = 31;
## Use a different database system
Freqtrade is using SQLAlchemy, which supports multiple different database systems. As such, a multitude of database systems should be supported.
Freqtrade does not depend or install any additional database driver. Please refer to the [SQLAlchemy docs](https://docs.sqlalchemy.org/en/14/core/engines.html#database-urls) on installation instructions for the respective database systems.
The following systems have been tested and are known to work with freqtrade:
* sqlite (default)
* PostgreSQL)
* MariaDB
!!! Warning
By using one of the below database systems, you acknowledge that you know how to manage such a system. Freqtrade will not provide any support with setup or maintenance (or backups) of the below database systems.
By using one of the below database systems, you acknowledge that you know how to manage such a system. The freqtrade team will not provide any support with setup or maintenance (or backups) of the below database systems.
### PostgreSQL
Freqtrade supports PostgreSQL by using SQLAlchemy, which supports multiple different database systems.
Installation:
`pip install psycopg2-binary`

24
docs/strategy-callbacks.md
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@ -46,6 +46,9 @@ class AwesomeStrategy(IStrategy):
self.cust_remote_data = requests.get('https://some_remote_source.example.com')
```
During hyperopt, this runs only once at startup.
## Bot loop start
A simple callback which is called once at the start of every bot throttling iteration (roughly every 5 seconds, unless configured differently).
@ -546,10 +549,12 @@ class AwesomeStrategy(IStrategy):
:param pair: Pair that's about to be bought/shorted.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in target (quote) currency that's going to be traded.
:param amount: Amount in target (base) currency that's going to be traded.
:param rate: Rate that's going to be used when using limit orders
or current rate for market orders.
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param current_time: datetime object, containing the current datetime
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
:param side: 'long' or 'short' - indicating the direction of the proposed trade
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the buy-order is placed on the exchange.
@ -583,7 +588,7 @@ class AwesomeStrategy(IStrategy):
rate: float, time_in_force: str, exit_reason: str,
current_time: datetime, **kwargs) -> bool:
"""
Called right before placing a regular sell order.
Called right before placing a regular exit order.
Timing for this function is critical, so avoid doing heavy computations or
network requests in this method.
@ -591,17 +596,19 @@ class AwesomeStrategy(IStrategy):
When not implemented by a strategy, returns True (always confirming).
:param pair: Pair that's about to be sold.
:param pair: Pair for trade that's about to be exited.
:param trade: trade object.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in quote currency.
:param amount: Amount in base currency.
:param rate: Rate that's going to be used when using limit orders
or current rate for market orders.
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param exit_reason: Exit reason.
Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
'exit_signal', 'force_exit', 'emergency_exit']
:param current_time: datetime object, containing the current datetime
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the exit-order is placed on the exchange.
:return bool: When True, then the exit-order is placed on the exchange.
False aborts the process
"""
if exit_reason == 'force_exit' and trade.calc_profit_ratio(rate) < 0:
@ -817,17 +824,18 @@ For markets / exchanges that don't support leverage, this method is ignored.
``` python
class AwesomeStrategy(IStrategy):
def leverage(self, pair: str, current_time: 'datetime', current_rate: float,
proposed_leverage: float, max_leverage: float, side: str,
def leverage(self, pair: str, current_time: datetime, current_rate: float,
proposed_leverage: float, max_leverage: float, entry_tag: Optional[str], side: str,
**kwargs) -> float:
"""
Customize leverage for each new trade.
Customize leverage for each new trade. This method is only called in futures mode.
:param pair: Pair that's currently analyzed
:param current_time: datetime object, containing the current datetime
:param current_rate: Rate, calculated based on pricing settings in exit_pricing.
:param proposed_leverage: A leverage proposed by the bot.
:param max_leverage: Max leverage allowed on this pair
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
:param side: 'long' or 'short' - indicating the direction of the proposed trade
:return: A leverage amount, which is between 1.0 and max_leverage.
"""

30
docs/telegram-usage.md
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@ -328,11 +328,11 @@ Per default `/daily` will return the 7 last days. The example below if for `/dai
> **Daily Profit over the last 3 days:**
```
Day Profit BTC Profit USD
---------- -------------- ------------
2018-01-03 0.00224175 BTC 29,142 USD
2018-01-02 0.00033131 BTC 4,307 USD
2018-01-01 0.00269130 BTC 34.986 USD
Day (count) USDT USD Profit %
-------------- ------------ ---------- ----------
2022-06-11 (1) -0.746 USDT -0.75 USD -0.08%
2022-06-10 (0) 0 USDT 0.00 USD 0.00%
2022-06-09 (5) 20 USDT 20.10 USD 5.00%
```
### /weekly <n>
@ -342,11 +342,11 @@ from Monday. The example below if for `/weekly 3`:
> **Weekly Profit over the last 3 weeks (starting from Monday):**
```
Monday Profit BTC Profit USD
---------- -------------- ------------
2018-01-03 0.00224175 BTC 29,142 USD
2017-12-27 0.00033131 BTC 4,307 USD
2017-12-20 0.00269130 BTC 34.986 USD
Monday (count) Profit BTC Profit USD Profit %
------------- -------------- ------------ ----------
2018-01-03 (5) 0.00224175 BTC 29,142 USD 4.98%
2017-12-27 (1) 0.00033131 BTC 4,307 USD 0.00%
2017-12-20 (4) 0.00269130 BTC 34.986 USD 5.12%
```
### /monthly <n>
@ -356,11 +356,11 @@ if for `/monthly 3`:
> **Monthly Profit over the last 3 months:**
```
Month Profit BTC Profit USD
---------- -------------- ------------
2018-01 0.00224175 BTC 29,142 USD
2017-12 0.00033131 BTC 4,307 USD
2017-11 0.00269130 BTC 34.986 USD
Month (count) Profit BTC Profit USD Profit %
------------- -------------- ------------ ----------
2018-01 (20) 0.00224175 BTC 29,142 USD 4.98%
2017-12 (5) 0.00033131 BTC 4,307 USD 0.00%
2017-11 (10) 0.00269130 BTC 34.986 USD 5.10%
```
### /whitelist

4
docs/updating.md
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@ -32,4 +32,8 @@ Please ensure that you're also updating dependencies - otherwise things might br
``` bash
git pull
pip install -U -r requirements.txt
pip install -e .
# Ensure freqUI is at the latest version
freqtrade install-ui
```

49
docs/webhook-config.md
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@ -239,3 +239,52 @@ Possible parameters are:
The fields in `webhook.webhookstatus` are used for regular status messages (Started / Stopped / ...). Parameters are filled using string.format.
The only possible value here is `{status}`.
## Discord
A special form of webhooks is available for discord.
You can configure this as follows:
```json
"discord": {
"enabled": true,
"webhook_url": "https://discord.com/api/webhooks/<Your webhook URL ...>",
"exit_fill": [
{"Trade ID": "{trade_id}"},
{"Exchange": "{exchange}"},
{"Pair": "{pair}"},
{"Direction": "{direction}"},
{"Open rate": "{open_rate}"},
{"Close rate": "{close_rate}"},
{"Amount": "{amount}"},
{"Open date": "{open_date:%Y-%m-%d %H:%M:%S}"},
{"Close date": "{close_date:%Y-%m-%d %H:%M:%S}"},
{"Profit": "{profit_amount} {stake_currency}"},
{"Profitability": "{profit_ratio:.2%}"},
{"Enter tag": "{enter_tag}"},
{"Exit Reason": "{exit_reason}"},
{"Strategy": "{strategy}"},
{"Timeframe": "{timeframe}"},
],
"entry_fill": [
{"Trade ID": "{trade_id}"},
{"Exchange": "{exchange}"},
{"Pair": "{pair}"},
{"Direction": "{direction}"},
{"Open rate": "{open_rate}"},
{"Amount": "{amount}"},
{"Open date": "{open_date:%Y-%m-%d %H:%M:%S}"},
{"Enter tag": "{enter_tag}"},
{"Strategy": "{strategy} {timeframe}"},
]
}
```
The above represents the default (`exit_fill` and `entry_fill` are optional and will default to the above configuration) - modifications are obviously possible.
Available fields correspond to the fields for webhooks and are documented in the corresponding webhook sections.
The notifications will look as follows by default.
![discord-notification](assets/discord_notification.png)

41
freqtrade/constants.py
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@ -336,6 +336,47 @@ CONF_SCHEMA = {
'webhookstatus': {'type': 'object'},
},
},
'discord': {
'type': 'object',
'properties': {
'enabled': {'type': 'boolean'},
'webhook_url': {'type': 'string'},
"exit_fill": {
'type': 'array', 'items': {'type': 'object'},
'default': [
{"Trade ID": "{trade_id}"},
{"Exchange": "{exchange}"},
{"Pair": "{pair}"},
{"Direction": "{direction}"},
{"Open rate": "{open_rate}"},
{"Close rate": "{close_rate}"},
{"Amount": "{amount}"},
{"Open date": "{open_date:%Y-%m-%d %H:%M:%S}"},
{"Close date": "{close_date:%Y-%m-%d %H:%M:%S}"},
{"Profit": "{profit_amount} {stake_currency}"},
{"Profitability": "{profit_ratio:.2%}"},
{"Enter tag": "{enter_tag}"},
{"Exit Reason": "{exit_reason}"},
{"Strategy": "{strategy}"},
{"Timeframe": "{timeframe}"},
]
},
"entry_fill": {
'type': 'array', 'items': {'type': 'object'},
'default': [
{"Trade ID": "{trade_id}"},
{"Exchange": "{exchange}"},
{"Pair": "{pair}"},
{"Direction": "{direction}"},
{"Open rate": "{open_rate}"},
{"Amount": "{amount}"},
{"Open date": "{open_date:%Y-%m-%d %H:%M:%S}"},
{"Enter tag": "{enter_tag}"},
{"Strategy": "{strategy} {timeframe}"},
]
},
}
},
'api_server': {
'type': 'object',
'properties': {

6
freqtrade/data/btanalysis.py
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@ -26,7 +26,7 @@ BT_DATA_COLUMNS = ['pair', 'stake_amount', 'amount', 'open_date', 'close_date',
'profit_ratio', 'profit_abs', 'exit_reason',
'initial_stop_loss_abs', 'initial_stop_loss_ratio', 'stop_loss_abs',
'stop_loss_ratio', 'min_rate', 'max_rate', 'is_open', 'enter_tag',
'is_short'
'is_short', 'open_timestamp', 'close_timestamp', 'orders'
]
@ -283,6 +283,8 @@ def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = Non
if 'enter_tag' not in df.columns:
df['enter_tag'] = df['buy_tag']
df = df.drop(['buy_tag'], axis=1)
if 'orders' not in df.columns:
df.loc[:, 'orders'] = None
else:
# old format - only with lists.
@ -337,7 +339,7 @@ def trade_list_to_dataframe(trades: List[LocalTrade]) -> pd.DataFrame:
:param trades: List of trade objects
:return: Dataframe with BT_DATA_COLUMNS
"""
df = pd.DataFrame.from_records([t.to_json() for t in trades], columns=BT_DATA_COLUMNS)
df = pd.DataFrame.from_records([t.to_json(True) for t in trades], columns=BT_DATA_COLUMNS)
if len(df) > 0:
df.loc[:, 'close_date'] = pd.to_datetime(df['close_date'], utc=True)
df.loc[:, 'open_date'] = pd.to_datetime(df['open_date'], utc=True)

4
freqtrade/exchange/binance.py
View File

@ -53,8 +53,8 @@ class Binance(Exchange):
ordertype = 'stop' if self.trading_mode == TradingMode.FUTURES else 'stop_loss_limit'
return order['type'] == ordertype and (
(side == "sell" and stop_loss > float(order['info']['stopPrice'])) or
(side == "buy" and stop_loss < float(order['info']['stopPrice']))
(side == "sell" and stop_loss > float(order['stopPrice'])) or
(side == "buy" and stop_loss < float(order['stopPrice']))
)
def get_tickers(self, symbols: Optional[List[str]] = None, cached: bool = False) -> Dict:

32
freqtrade/freqtradebot.py
View File

@ -4,7 +4,7 @@ Freqtrade is the main module of this bot. It contains the class Freqtrade()
import copy
import logging
import traceback
from datetime import datetime, time, timezone
from datetime import datetime, time, timedelta, timezone
from decimal import Decimal
from math import isclose
from threading import Lock
@ -74,8 +74,6 @@ class FreqtradeBot(LoggingMixin):
PairLocks.timeframe = self.config['timeframe']
self.protections = ProtectionManager(self.config, self.strategy.protections)
# RPC runs in separate threads, can start handling external commands just after
# initialization, even before Freqtradebot has a chance to start its throttling,
# so anything in the Freqtradebot instance should be ready (initialized), including
@ -125,6 +123,8 @@ class FreqtradeBot(LoggingMixin):
self.last_process = datetime(1970, 1, 1, tzinfo=timezone.utc)
self.strategy.ft_bot_start()
# Initialize protections AFTER bot start - otherwise parameters are not loaded.
self.protections = ProtectionManager(self.config, self.strategy.protections)
def notify_status(self, msg: str) -> None:
"""
@ -228,7 +228,7 @@ class FreqtradeBot(LoggingMixin):
Notify the user when the bot is stopped (not reloaded)
and there are still open trades active.
"""
open_trades = Trade.get_trades([Trade.is_open.is_(True)]).all()
open_trades = Trade.get_open_trades()
if len(open_trades) != 0 and self.state != State.RELOAD_CONFIG:
msg = {
@ -303,6 +303,15 @@ class FreqtradeBot(LoggingMixin):
self.update_trade_state(order.trade, order.order_id, fo,
stoploss_order=(order.ft_order_side == 'stoploss'))
except InvalidOrderException as e:
logger.warning(f"Error updating Order {order.order_id} due to {e}.")
if order.order_date_utc - timedelta(days=5) < datetime.now(timezone.utc):
logger.warning(
"Order is older than 5 days. Assuming order was fully cancelled.")
fo = order.to_ccxt_object()
fo['status'] = 'canceled'
self.handle_timedout_order(fo, order.trade)
except ExchangeError as e:
logger.warning(f"Error updating Order {order.order_id} due to {e}")
@ -803,7 +812,7 @@ class FreqtradeBot(LoggingMixin):
current_rate=enter_limit_requested,
proposed_leverage=1.0,
max_leverage=max_leverage,
side=trade_side,
side=trade_side, entry_tag=entry_tag,
) if self.trading_mode != TradingMode.SPOT else 1.0
# Cap leverage between 1.0 and max_leverage.
leverage = min(max(leverage, 1.0), max_leverage)
@ -1229,15 +1238,15 @@ class FreqtradeBot(LoggingMixin):
current_order_rate=order_obj.price, entry_tag=trade.enter_tag,
side=trade.entry_side)
full_cancel = False
replacing = True
cancel_reason = constants.CANCEL_REASON['REPLACE']
if not adjusted_entry_price:
full_cancel = True if trade.nr_of_successful_entries == 0 else False
replacing = False
cancel_reason = constants.CANCEL_REASON['USER_CANCEL']
if order_obj.price != adjusted_entry_price:
# cancel existing order if new price is supplied or None
self.handle_cancel_enter(trade, order, cancel_reason,
allow_full_cancel=full_cancel)
replacing=replacing)
if adjusted_entry_price:
# place new order only if new price is supplied
self.execute_entry(
@ -1271,10 +1280,11 @@ class FreqtradeBot(LoggingMixin):
def handle_cancel_enter(
self, trade: Trade, order: Dict, reason: str,
allow_full_cancel: Optional[bool] = True
replacing: Optional[bool] = False
) -> bool:
"""
Buy cancel - cancel order
:param replacing: Replacing order - prevent trade deletion.
:return: True if order was fully cancelled
"""
was_trade_fully_canceled = False
@ -1312,7 +1322,7 @@ class FreqtradeBot(LoggingMixin):
if isclose(filled_amount, 0.0, abs_tol=constants.MATH_CLOSE_PREC):
# if trade is not partially completed and it's the only order, just delete the trade
open_order_count = len([order for order in trade.orders if order.status == 'open'])
if open_order_count <= 1 and allow_full_cancel:
if open_order_count <= 1 and trade.nr_of_successful_entries == 0 and not replacing:
logger.info(f'{side} order fully cancelled. Removing {trade} from database.')
trade.delete()
was_trade_fully_canceled = True
@ -1321,7 +1331,7 @@ class FreqtradeBot(LoggingMixin):
# FIXME TODO: This could possibly reworked to not duplicate the code 15 lines below.
self.update_trade_state(trade, trade.open_order_id, corder)
trade.open_order_id = None
logger.info(f'Partial {side} order timeout for {trade}.')
logger.info(f'{side} Order timeout for {trade}.')
else:
# if trade is partially complete, edit the stake details for the trade
# and close the order

26
freqtrade/optimize/backtesting.py
View File

@ -187,6 +187,7 @@ class Backtesting:
# since a "perfect" stoploss-exit is assumed anyway
# And the regular "stoploss" function would not apply to that case
self.strategy.order_types['stoploss_on_exchange'] = False
self.strategy.ft_bot_start()
def _load_protections(self, strategy: IStrategy):
@ -732,7 +733,7 @@ class Backtesting:
current_rate=row[OPEN_IDX],
proposed_leverage=1.0,
max_leverage=max_leverage,
side=direction,
side=direction, entry_tag=entry_tag,
) if self._can_short else 1.0
# Cap leverage between 1.0 and max_leverage.
leverage = min(max(leverage, 1.0), max_leverage)
@ -923,26 +924,30 @@ class Backtesting:
self.protections.stop_per_pair(pair, current_time, side)
self.protections.global_stop(current_time, side)
def manage_open_orders(self, trade: LocalTrade, current_time, row: Tuple) -> bool:
def manage_open_orders(self, trade: LocalTrade, current_time: datetime, row: Tuple) -> bool:
"""
Check if any open order needs to be cancelled or replaced.
Returns True if the trade should be deleted.
"""
for order in [o for o in trade.orders if o.ft_is_open]:
if self.check_order_cancel(trade, order, current_time):
oc = self.check_order_cancel(trade, order, current_time)
if oc:
# delete trade due to order timeout
return True
elif self.check_order_replace(trade, order, current_time, row):
elif oc is None and self.check_order_replace(trade, order, current_time, row):
# delete trade due to user request
self.canceled_trade_entries += 1
return True
# default maintain trade
return False
def check_order_cancel(self, trade: LocalTrade, order: Order, current_time) -> bool:
def check_order_cancel(
self, trade: LocalTrade, order: Order, current_time: datetime) -> Optional[bool]:
"""
Check if current analyzed order has to be canceled.
Returns True if the trade should be Deleted (initial order was canceled).
Returns True if the trade should be Deleted (initial order was canceled),
False if it's Canceled
None if the order is still active.
"""
timedout = self.strategy.ft_check_timed_out(
trade, # type: ignore[arg-type]
@ -956,12 +961,15 @@ class Backtesting:
else:
# Close additional entry order
del trade.orders[trade.orders.index(order)]
trade.open_order_id = None
return False
if order.side == trade.exit_side:
self.timedout_exit_orders += 1
# Close exit order and retry exiting on next signal.
del trade.orders[trade.orders.index(order)]
return False
trade.open_order_id = None
return False
return None
def check_order_replace(self, trade: LocalTrade, order: Order, current_time,
row: Tuple) -> bool:
@ -987,6 +995,7 @@ class Backtesting:
return False
else:
del trade.orders[trade.orders.index(order)]
trade.open_order_id = None
self.canceled_entry_orders += 1
# place new order if result was not None
@ -1115,6 +1124,7 @@ class Backtesting:
# 5. Process exit orders.
order = trade.select_order(trade.exit_side, is_open=True)
if order and self._get_order_filled(order.price, row):
order.close_bt_order(current_time, trade)
trade.open_order_id = None
sub_trade = order.safe_amount_after_fee != trade.amount
if sub_trade:

10
freqtrade/optimize/hyperopt.py
View File

@ -429,7 +429,7 @@ class Hyperopt:
return new_list
i = 0
asked_non_tried: List[List[Any]] = []
is_random: List[bool] = []
is_random_non_tried: List[bool] = []
while i < 5 and len(asked_non_tried) < n_points:
if i < 3:
self.opt.cache_ = {}
@ -438,9 +438,9 @@ class Hyperopt:
else:
asked = unique_list(self.opt.space.rvs(n_samples=n_points * 5))
is_random = [True for _ in range(len(asked))]
is_random += [rand for x, rand in zip(asked, is_random)
if x not in self.opt.Xi
and x not in asked_non_tried]
is_random_non_tried += [rand for x, rand in zip(asked, is_random)
if x not in self.opt.Xi
and x not in asked_non_tried]
asked_non_tried += [x for x in asked
if x not in self.opt.Xi
and x not in asked_non_tried]
@ -449,7 +449,7 @@ class Hyperopt:
if asked_non_tried:
return (
asked_non_tried[:min(len(asked_non_tried), n_points)],
is_random[:min(len(asked_non_tried), n_points)]
is_random_non_tried[:min(len(asked_non_tried), n_points)]
)
else:
return self.opt.ask(n_points=n_points), [False for _ in range(n_points)]

4
freqtrade/optimize/optimize_reports.py
View File

@ -4,7 +4,6 @@ from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Any, Dict, List, Union
from numpy import int64
from pandas import DataFrame, to_datetime
from tabulate import tabulate
@ -417,9 +416,6 @@ def generate_strategy_stats(pairlist: List[str],
key=lambda x: x['profit_sum']) if len(pair_results) > 1 else None
worst_pair = min([pair for pair in pair_results if pair['key'] != 'TOTAL'],
key=lambda x: x['profit_sum']) if len(pair_results) > 1 else None
if not results.empty:
results['open_timestamp'] = results['open_date'].view(int64) // 1e6
results['close_timestamp'] = results['close_date'].view(int64) // 1e6
backtest_days = (max_date - min_date).days or 1
strat_stats = {

30
freqtrade/persistence/migrations.py
View File

@ -248,6 +248,35 @@ def set_sqlite_to_wal(engine):
connection.execute(text("PRAGMA journal_mode=wal"))
def fix_old_dry_orders(engine):
with engine.begin() as connection:
connection.execute(
text(
"""
update orders
set ft_is_open = 0
where ft_is_open = 1 and (ft_trade_id, order_id) not in (
select id, stoploss_order_id from trades where stoploss_order_id is not null
) and ft_order_side = 'stoploss'
and order_id like 'dry_%'
"""
)
)
connection.execute(
text(
"""
update orders
set ft_is_open = 0
where ft_is_open = 1
and (ft_trade_id, order_id) not in (
select id, open_order_id from trades where open_order_id is not null
) and ft_order_side != 'stoploss'
and order_id like 'dry_%'
"""
)
)
def check_migrate(engine, decl_base, previous_tables) -> None:
"""
Checks if migration is necessary and migrates if necessary
@ -289,3 +318,4 @@ def check_migrate(engine, decl_base, previous_tables) -> None:
"start with a fresh database.")
set_sqlite_to_wal(engine)
fix_old_dry_orders(engine)

72
freqtrade/persistence/trade_model.py
View File

@ -76,7 +76,7 @@ class Order(_DECL_BASE):
@property
def safe_filled(self) -> float:
return self.filled or self.amount or 0.0
return self.filled if self.filled is not None else self.amount or 0.0
@property
def safe_fee_base(self) -> float:
@ -139,35 +139,40 @@ class Order(_DECL_BASE):
'info': {},
}
def to_json(self, entry_side: str) -> Dict[str, Any]:
return {
'pair': self.ft_pair,
'order_id': self.order_id,
'status': self.status,
def to_json(self, entry_side: str, minified: bool = False) -> Dict[str, Any]:
resp = {
'amount': self.amount,
'average': round(self.average, 8) if self.average else 0,
'safe_price': self.safe_price,
'cost': self.cost if self.cost else 0,
'filled': self.filled,
'ft_order_side': self.ft_order_side,
'is_open': self.ft_is_open,
'order_date': self.order_date.strftime(DATETIME_PRINT_FORMAT)
if self.order_date else None,
'order_timestamp': int(self.order_date.replace(
tzinfo=timezone.utc).timestamp() * 1000) if self.order_date else None,
'order_filled_date': self.order_filled_date.strftime(DATETIME_PRINT_FORMAT)
if self.order_filled_date else None,
'order_filled_timestamp': int(self.order_filled_date.replace(
tzinfo=timezone.utc).timestamp() * 1000) if self.order_filled_date else None,
'order_type': self.order_type,
'price': self.price,
'ft_is_entry': self.ft_order_side == entry_side,
'remaining': self.remaining,
}
if not minified:
resp.update({
'pair': self.ft_pair,
'order_id': self.order_id,
'status': self.status,
'average': round(self.average, 8) if self.average else 0,
'cost': self.cost if self.cost else 0,
'filled': self.filled,
'is_open': self.ft_is_open,
'order_date': self.order_date.strftime(DATETIME_PRINT_FORMAT)
if self.order_date else None,
'order_timestamp': int(self.order_date.replace(
tzinfo=timezone.utc).timestamp() * 1000) if self.order_date else None,
'order_filled_date': self.order_filled_date.strftime(DATETIME_PRINT_FORMAT)
if self.order_filled_date else None,
'order_type': self.order_type,
'price': self.price,
'remaining': self.remaining,
})
return resp
def close_bt_order(self, close_date: datetime, trade: 'LocalTrade'):
self.order_filled_date = close_date
self.filled = self.amount
self.remaining = 0
self.status = 'closed'
self.ft_is_open = False
if (self.ft_order_side == trade.entry_side
@ -396,9 +401,9 @@ class LocalTrade():
f'open_rate={self.open_rate:.8f}, open_since={open_since})'
)
def to_json(self) -> Dict[str, Any]:
filled_orders = self.select_filled_orders()
orders = [order.to_json(self.entry_side) for order in filled_orders]
def to_json(self, minified: bool = False) -> Dict[str, Any]:
filled_orders = self.select_filled_or_open_orders()
orders = [order.to_json(self.entry_side, minified) for order in filled_orders]
return {
'trade_id': self.id,
@ -871,14 +876,6 @@ class LocalTrade():
return float(f"{profit_ratio:.8f}")
def recalc_trade_from_orders(self):
# We need at least 2 entry orders for averaging amounts and rates.
# TODO: this condition could probably be removed
if len(self.select_filled_orders(self.entry_side)) < 2:
self.stake_amount = self.amount * self.open_rate / self.leverage
# Just in case, still recalc open trade value
self.recalc_open_trade_value()
return
total_amount = 0.0
total_stake = 0.0
@ -948,6 +945,21 @@ class LocalTrade():
and o.filled
and o.status in NON_OPEN_EXCHANGE_STATES]
def select_filled_or_open_orders(self) -> List['Order']:
"""
Finds filled or open orders
:param order_side: Side of the order (either 'buy', 'sell', or None)
:return: array of Order objects
"""
return [o for o in self.orders if
(
o.ft_is_open is False
and (o.filled or 0) > 0
and o.status in NON_OPEN_EXCHANGE_STATES
)
or (o.ft_is_open is True and o.status is not None)
]
@property
def nr_of_successful_entries(self) -> int:
"""

21
freqtrade/resolvers/strategy_resolver.py
View File

@ -47,26 +47,7 @@ class StrategyResolver(IResolver):
strategy: IStrategy = StrategyResolver._load_strategy(
strategy_name, config=config,
extra_dir=config.get('strategy_path'))
if strategy._ft_params_from_file:
# Set parameters from Hyperopt results file
params = strategy._ft_params_from_file
strategy.minimal_roi = params.get('roi', getattr(strategy, 'minimal_roi', {}))
strategy.stoploss = params.get('stoploss', {}).get(
'stoploss', getattr(strategy, 'stoploss', -0.1))
trailing = params.get('trailing', {})
strategy.trailing_stop = trailing.get(
'trailing_stop', getattr(strategy, 'trailing_stop', False))
strategy.trailing_stop_positive = trailing.get(
'trailing_stop_positive', getattr(strategy, 'trailing_stop_positive', None))
strategy.trailing_stop_positive_offset = trailing.get(
'trailing_stop_positive_offset',
getattr(strategy, 'trailing_stop_positive_offset', 0))
strategy.trailing_only_offset_is_reached = trailing.get(
'trailing_only_offset_is_reached',
getattr(strategy, 'trailing_only_offset_is_reached', 0.0))
strategy.ft_load_params_from_file()
# Set attributes
# Check if we need to override configuration
# (Attribute name, default, subkey)

4
freqtrade/rpc/api_server/api_schemas.py
View File

@ -120,6 +120,8 @@ class Stats(BaseModel):
class DailyRecord(BaseModel):
date: date
abs_profit: float
rel_profit: float
starting_balance: float
fiat_value: float
trade_count: int
@ -166,7 +168,7 @@ class ShowConfig(BaseModel):
trailing_stop_positive: Optional[float]
trailing_stop_positive_offset: Optional[float]
trailing_only_offset_is_reached: Optional[bool]
unfilledtimeout: UnfilledTimeout
unfilledtimeout: Optional[UnfilledTimeout] # Empty in webserver mode
order_types: Optional[OrderTypes]
use_custom_stoploss: Optional[bool]
timeframe: Optional[str]

7
freqtrade/rpc/api_server/api_v1.py
View File

@ -36,7 +36,8 @@ logger = logging.getLogger(__name__)
# versions 2.xx -> futures/short branch
# 2.14: Add entry/exit orders to trade response
# 2.15: Add backtest history endpoints
API_VERSION = 2.15
# 2.16: Additional daily metrics
API_VERSION = 2.16
# Public API, requires no auth.
router_public = APIRouter()
@ -86,8 +87,8 @@ def stats(rpc: RPC = Depends(get_rpc)):
@router.get('/daily', response_model=Daily, tags=['info'])
def daily(timescale: int = 7, rpc: RPC = Depends(get_rpc), config=Depends(get_config)):
return rpc._rpc_daily_profit(timescale, config['stake_currency'],
config.get('fiat_display_currency', ''))
return rpc._rpc_timeunit_profit(timescale, config['stake_currency'],
config.get('fiat_display_currency', ''))
@router.get('/status', response_model=List[OpenTradeSchema], tags=['info'])

59
freqtrade/rpc/discord.py Normal file
View File

@ -0,0 +1,59 @@
import logging
from typing import Any, Dict
from freqtrade.enums.rpcmessagetype import RPCMessageType
from freqtrade.rpc import RPC
from freqtrade.rpc.webhook import Webhook
logger = logging.getLogger(__name__)
class Discord(Webhook):
def __init__(self, rpc: 'RPC', config: Dict[str, Any]):
# super().__init__(rpc, config)
self.rpc = rpc
self.config = config
self.strategy = config.get('strategy', '')
self.timeframe = config.get('timeframe', '')
self._url = self.config['discord']['webhook_url']
self._format = 'json'
self._retries = 1
self._retry_delay = 0.1
def cleanup(self) -> None:
"""
Cleanup pending module resources.
This will do nothing for webhooks, they will simply not be called anymore
"""
pass
def send_msg(self, msg) -> None:
logger.info(f"Sending discord message: {msg}")
if msg['type'].value in self.config['discord']:
msg['strategy'] = self.strategy
msg['timeframe'] = self.timeframe
fields = self.config['discord'].get(msg['type'].value)
color = 0x0000FF
if msg['type'] in (RPCMessageType.EXIT, RPCMessageType.EXIT_FILL):
profit_ratio = msg.get('profit_ratio')
color = (0x00FF00 if profit_ratio > 0 else 0xFF0000)
embeds = [{
'title': f"Trade: {msg['pair']} {msg['type'].value}",
'color': color,
'fields': [],
}]
for f in fields:
for k, v in f.items():
v = v.format(**msg)
embeds[0]['fields'].append( # type: ignore
{'name': k, 'value': v, 'inline': True})
# Send the message to discord channel
payload = {'embeds': embeds}
self._send_msg(payload)

133
freqtrade/rpc/rpc.py
View File

@ -283,33 +283,57 @@ class RPC:
columns.append('# Entries')
return trades_list, columns, fiat_profit_sum
def _rpc_daily_profit(
def _rpc_timeunit_profit(
self, timescale: int,
stake_currency: str, fiat_display_currency: str) -> Dict[str, Any]:
today = datetime.now(timezone.utc).date()
profit_days: Dict[date, Dict] = {}
stake_currency: str, fiat_display_currency: str,
timeunit: str = 'days') -> Dict[str, Any]:
"""
:param timeunit: Valid entries are 'days', 'weeks', 'months'
"""
start_date = datetime.now(timezone.utc).date()
if timeunit == 'weeks':
# weekly
start_date = start_date - timedelta(days=start_date.weekday()) # Monday
if timeunit == 'months':
start_date = start_date.replace(day=1)
def time_offset(step: int):
if timeunit == 'months':
return relativedelta(months=step)
return timedelta(**{timeunit: step})
if not (isinstance(timescale, int) and timescale > 0):
raise RPCException('timescale must be an integer greater than 0')
profit_units: Dict[date, Dict] = {}
daily_stake = self._freqtrade.wallets.get_total_stake_amount()
for day in range(0, timescale):
profitday = today - timedelta(days=day)
trades = Trade.get_trades(trade_filter=[
profitday = start_date - time_offset(day)
# Only query for necessary columns for performance reasons.
trades = Trade.query.session.query(Trade.close_profit_abs).filter(
Trade.is_open.is_(False),
Trade.close_date >= profitday,
Trade.close_date < (profitday + timedelta(days=1))
]).order_by(Trade.close_date).all()
Trade.close_date < (profitday + time_offset(1))
).order_by(Trade.close_date).all()
curdayprofit = sum(
trade.close_profit_abs for trade in trades if trade.close_profit_abs is not None)
profit_days[profitday] = {
# Calculate this periods starting balance
daily_stake = daily_stake - curdayprofit
profit_units[profitday] = {
'amount': curdayprofit,
'trades': len(trades)
'daily_stake': daily_stake,
'rel_profit': round(curdayprofit / daily_stake, 8) if daily_stake > 0 else 0,
'trades': len(trades),
}
data = [
{
'date': key,
'date': f"{key.year}-{key.month:02d}" if timeunit == 'months' else key,
'abs_profit': value["amount"],
'starting_balance': value["daily_stake"],
'rel_profit': value["rel_profit"],
'fiat_value': self._fiat_converter.convert_amount(
value['amount'],
stake_currency,
@ -317,92 +341,7 @@ class RPC:
) if self._fiat_converter else 0,
'trade_count': value["trades"],
}
for key, value in profit_days.items()
]
return {
'stake_currency': stake_currency,
'fiat_display_currency': fiat_display_currency,
'data': data
}
def _rpc_weekly_profit(
self, timescale: int,
stake_currency: str, fiat_display_currency: str) -> Dict[str, Any]:
today = datetime.now(timezone.utc).date()
first_iso_day_of_week = today - timedelta(days=today.weekday()) # Monday
profit_weeks: Dict[date, Dict] = {}
if not (isinstance(timescale, int) and timescale > 0):
raise RPCException('timescale must be an integer greater than 0')
for week in range(0, timescale):
profitweek = first_iso_day_of_week - timedelta(weeks=week)
trades = Trade.get_trades(trade_filter=[
Trade.is_open.is_(False),
Trade.close_date >= profitweek,
Trade.close_date < (profitweek + timedelta(weeks=1))
]).order_by(Trade.close_date).all()
curweekprofit = sum(
trade.close_profit_abs for trade in trades if trade.close_profit_abs is not None)
profit_weeks[profitweek] = {
'amount': curweekprofit,
'trades': len(trades)
}
data = [
{
'date': key,
'abs_profit': value["amount"],
'fiat_value': self._fiat_converter.convert_amount(
value['amount'],
stake_currency,
fiat_display_currency
) if self._fiat_converter else 0,
'trade_count': value["trades"],
}
for key, value in profit_weeks.items()
]
return {
'stake_currency': stake_currency,
'fiat_display_currency': fiat_display_currency,
'data': data
}
def _rpc_monthly_profit(
self, timescale: int,
stake_currency: str, fiat_display_currency: str) -> Dict[str, Any]:
first_day_of_month = datetime.now(timezone.utc).date().replace(day=1)
profit_months: Dict[date, Dict] = {}
if not (isinstance(timescale, int) and timescale > 0):
raise RPCException('timescale must be an integer greater than 0')
for month in range(0, timescale):
profitmonth = first_day_of_month - relativedelta(months=month)
trades = Trade.get_trades(trade_filter=[
Trade.is_open.is_(False),
Trade.close_date >= profitmonth,
Trade.close_date < (profitmonth + relativedelta(months=1))
]).order_by(Trade.close_date).all()
curmonthprofit = sum(
trade.close_profit_abs for trade in trades if trade.close_profit_abs is not None)
profit_months[profitmonth] = {
'amount': curmonthprofit,
'trades': len(trades)
}
data = [
{
'date': f"{key.year}-{key.month:02d}",
'abs_profit': value["amount"],
'fiat_value': self._fiat_converter.convert_amount(
value['amount'],
stake_currency,
fiat_display_currency
) if self._fiat_converter else 0,
'trade_count': value["trades"],
}
for key, value in profit_months.items()
for key, value in profit_units.items()
]
return {
'stake_currency': stake_currency,

6
freqtrade/rpc/rpc_manager.py
View File

@ -27,6 +27,12 @@ class RPCManager:
from freqtrade.rpc.telegram import Telegram
self.registered_modules.append(Telegram(self._rpc, config))
# Enable discord
if config.get('discord', {}).get('enabled', False):
logger.info('Enabling rpc.discord ...')
from freqtrade.rpc.discord import Discord
self.registered_modules.append(Discord(self._rpc, config))
# Enable Webhook
if config.get('webhook', {}).get('enabled', False):
logger.info('Enabling rpc.webhook ...')

161
freqtrade/rpc/telegram.py
View File

@ -6,6 +6,7 @@ This module manage Telegram communication
import json
import logging
import re
from dataclasses import dataclass
from datetime import date, datetime, timedelta
from functools import partial
from html import escape
@ -37,6 +38,15 @@ logger.debug('Included module rpc.telegram ...')
MAX_TELEGRAM_MESSAGE_LENGTH = 4096
@dataclass
class TimeunitMappings:
header: str
message: str
message2: str
callback: str
default: int
def authorized_only(command_handler: Callable[..., None]) -> Callable[..., Any]:
"""
Decorator to check if the message comes from the correct chat_id
@ -427,7 +437,10 @@ class Telegram(RPCHandler):
first_avg = filled_orders[0]["safe_price"]
for x, order in enumerate(filled_orders):
if order['is_open'] is True:
continue
wording = 'Entry' if order['ft_is_entry'] else 'Exit'
cur_entry_datetime = arrow.get(order["order_filled_date"])
cur_entry_amount = order["filled"] or order["amount"]
cur_entry_average = order["safe_price"]
@ -605,6 +618,60 @@ class Telegram(RPCHandler):
except RPCException as e:
self._send_msg(str(e))
@authorized_only
def _timeunit_stats(self, update: Update, context: CallbackContext, unit: str) -> None:
"""
Handler for /daily <n>
Returns a daily profit (in BTC) over the last n days.
:param bot: telegram bot
:param update: message update
:return: None
"""
vals = {
'days': TimeunitMappings('Day', 'Daily', 'days', 'update_daily', 7),
'weeks': TimeunitMappings('Monday', 'Weekly', 'weeks (starting from Monday)',
'update_weekly', 8),
'months': TimeunitMappings('Month', 'Monthly', 'months', 'update_monthly', 6),
}
val = vals[unit]
stake_cur = self._config['stake_currency']
fiat_disp_cur = self._config.get('fiat_display_currency', '')
try:
timescale = int(context.args[0]) if context.args else val.default
except (TypeError, ValueError, IndexError):
timescale = val.default
try:
stats = self._rpc._rpc_timeunit_profit(
timescale,
stake_cur,
fiat_disp_cur,
unit
)
stats_tab = tabulate(
[[f"{period['date']} ({period['trade_count']})",
f"{round_coin_value(period['abs_profit'], stats['stake_currency'])}",
f"{period['fiat_value']:.2f} {stats['fiat_display_currency']}",
f"{period['rel_profit']:.2%}",
] for period in stats['data']],
headers=[
f"{val.header} (count)",
f'{stake_cur}',
f'{fiat_disp_cur}',
'Profit %',
'Trades',
],
tablefmt='simple')
message = (
f'<b>{val.message} Profit over the last {timescale} {val.message2}</b>:\n'
f'<pre>{stats_tab}</pre>'
)
self._send_msg(message, parse_mode=ParseMode.HTML, reload_able=True,
callback_path=val.callback, query=update.callback_query)
except RPCException as e:
self._send_msg(str(e))
@authorized_only
def _daily(self, update: Update, context: CallbackContext) -> None:
"""
@ -614,35 +681,7 @@ class Telegram(RPCHandler):
:param update: message update
:return: None
"""
stake_cur = self._config['stake_currency']
fiat_disp_cur = self._config.get('fiat_display_currency', '')
try:
timescale = int(context.args[0]) if context.args else 7
except (TypeError, ValueError, IndexError):
timescale = 7
try:
stats = self._rpc._rpc_daily_profit(
timescale,
stake_cur,
fiat_disp_cur
)
stats_tab = tabulate(
[[day['date'],
f"{round_coin_value(day['abs_profit'], stats['stake_currency'])}",
f"{day['fiat_value']:.3f} {stats['fiat_display_currency']}",
f"{day['trade_count']} trades"] for day in stats['data']],
headers=[
'Day',
f'Profit {stake_cur}',
f'Profit {fiat_disp_cur}',
'Trades',
],
tablefmt='simple')
message = f'<b>Daily Profit over the last {timescale} days</b>:\n<pre>{stats_tab}</pre>'
self._send_msg(message, parse_mode=ParseMode.HTML, reload_able=True,
callback_path="update_daily", query=update.callback_query)
except RPCException as e:
self._send_msg(str(e))
self._timeunit_stats(update, context, 'days')
@authorized_only
def _weekly(self, update: Update, context: CallbackContext) -> None:
@ -653,36 +692,7 @@ class Telegram(RPCHandler):
:param update: message update
:return: None
"""
stake_cur = self._config['stake_currency']
fiat_disp_cur = self._config.get('fiat_display_currency', '')
try:
timescale = int(context.args[0]) if context.args else 8
except (TypeError, ValueError, IndexError):
timescale = 8
try:
stats = self._rpc._rpc_weekly_profit(
timescale,
stake_cur,
fiat_disp_cur
)
stats_tab = tabulate(
[[week['date'],
f"{round_coin_value(week['abs_profit'], stats['stake_currency'])}",
f"{week['fiat_value']:.3f} {stats['fiat_display_currency']}",
f"{week['trade_count']} trades"] for week in stats['data']],
headers=[
'Monday',
f'Profit {stake_cur}',
f'Profit {fiat_disp_cur}',
'Trades',
],
tablefmt='simple')
message = f'<b>Weekly Profit over the last {timescale} weeks ' \
f'(starting from Monday)</b>:\n<pre>{stats_tab}</pre> '
self._send_msg(message, parse_mode=ParseMode.HTML, reload_able=True,
callback_path="update_weekly", query=update.callback_query)
except RPCException as e:
self._send_msg(str(e))
self._timeunit_stats(update, context, 'weeks')
@authorized_only
def _monthly(self, update: Update, context: CallbackContext) -> None:
@ -693,36 +703,7 @@ class Telegram(RPCHandler):
:param update: message update
:return: None
"""
stake_cur = self._config['stake_currency']
fiat_disp_cur = self._config.get('fiat_display_currency', '')
try:
timescale = int(context.args[0]) if context.args else 6
except (TypeError, ValueError, IndexError):
timescale = 6
try:
stats = self._rpc._rpc_monthly_profit(
timescale,
stake_cur,
fiat_disp_cur
)
stats_tab = tabulate(
[[month['date'],
f"{round_coin_value(month['abs_profit'], stats['stake_currency'])}",
f"{month['fiat_value']:.3f} {stats['fiat_display_currency']}",
f"{month['trade_count']} trades"] for month in stats['data']],
headers=[
'Month',
f'Profit {stake_cur}',
f'Profit {fiat_disp_cur}',
'Trades',
],
tablefmt='simple')
message = f'<b>Monthly Profit over the last {timescale} months' \
f'</b>:\n<pre>{stats_tab}</pre> '
self._send_msg(message, parse_mode=ParseMode.HTML, reload_able=True,
callback_path="update_monthly", query=update.callback_query)
except RPCException as e:
self._send_msg(str(e))
self._timeunit_stats(update, context, 'months')
@authorized_only
def _profit(self, update: Update, context: CallbackContext) -> None:
@ -827,7 +808,7 @@ class Telegram(RPCHandler):
headers=['Exit Reason', 'Exits', 'Wins', 'Losses']
)
if len(exit_reasons_tabulate) > 25:
self._send_msg(exit_reasons_msg, ParseMode.MARKDOWN)
self._send_msg(f"```\n{exit_reasons_msg}```", ParseMode.MARKDOWN)
exit_reasons_msg = ''
durations = stats['durations']

103
freqtrade/strategy/hyper.py
View File

@ -4,9 +4,8 @@ This module defines a base class for auto-hyperoptable strategies.
"""
import logging
from pathlib import Path
from typing import Any, Dict, Iterator, List, Tuple
from typing import Any, Dict, Iterator, List, Tuple, Type, Union
from freqtrade.enums import RunMode
from freqtrade.exceptions import OperationalException
from freqtrade.misc import deep_merge_dicts, json_load
from freqtrade.optimize.hyperopt_tools import HyperoptTools
@ -31,7 +30,10 @@ class HyperStrategyMixin:
self.ft_sell_params: List[BaseParameter] = []
self.ft_protection_params: List[BaseParameter] = []
self._load_hyper_params(config.get('runmode') == RunMode.HYPEROPT)
params = self.load_params_from_file()
params = params.get('params', {})
self._ft_params_from_file = params
# Init/loading of parameters is done as part of ft_bot_start().
def enumerate_parameters(self, category: str = None) -> Iterator[Tuple[str, BaseParameter]]:
"""
@ -51,28 +53,13 @@ class HyperStrategyMixin:
for par in params:
yield par.name, par
@classmethod
def detect_parameters(cls, category: str) -> Iterator[Tuple[str, BaseParameter]]:
""" Detect all parameters for 'category' """
for attr_name in dir(cls):
if not attr_name.startswith('__'): # Ignore internals, not strictly necessary.
attr = getattr(cls, attr_name)
if issubclass(attr.__class__, BaseParameter):
if (attr_name.startswith(category + '_')
and attr.category is not None and attr.category != category):
raise OperationalException(
f'Inconclusive parameter name {attr_name}, category: {attr.category}.')
if (category == attr.category or
(attr_name.startswith(category + '_') and attr.category is None)):
yield attr_name, attr
@classmethod
def detect_all_parameters(cls) -> Dict:
""" Detect all parameters and return them as a list"""
params: Dict[str, Any] = {
'buy': list(cls.detect_parameters('buy')),
'sell': list(cls.detect_parameters('sell')),
'protection': list(cls.detect_parameters('protection')),
'buy': list(detect_parameters(cls, 'buy')),
'sell': list(detect_parameters(cls, 'sell')),
'protection': list(detect_parameters(cls, 'protection')),
}
params.update({
'count': len(params['buy'] + params['sell'] + params['protection'])
@ -80,21 +67,49 @@ class HyperStrategyMixin:
return params
def _load_hyper_params(self, hyperopt: bool = False) -> None:
def ft_load_params_from_file(self) -> None:
"""
Load Parameters from parameter file
Should/must run before config values are loaded in strategy_resolver.
"""
if self._ft_params_from_file:
# Set parameters from Hyperopt results file
params = self._ft_params_from_file
self.minimal_roi = params.get('roi', getattr(self, 'minimal_roi', {}))
self.stoploss = params.get('stoploss', {}).get(
'stoploss', getattr(self, 'stoploss', -0.1))
trailing = params.get('trailing', {})
self.trailing_stop = trailing.get(
'trailing_stop', getattr(self, 'trailing_stop', False))
self.trailing_stop_positive = trailing.get(
'trailing_stop_positive', getattr(self, 'trailing_stop_positive', None))
self.trailing_stop_positive_offset = trailing.get(
'trailing_stop_positive_offset',
getattr(self, 'trailing_stop_positive_offset', 0))
self.trailing_only_offset_is_reached = trailing.get(
'trailing_only_offset_is_reached',
getattr(self, 'trailing_only_offset_is_reached', 0.0))
def ft_load_hyper_params(self, hyperopt: bool = False) -> None:
"""
Load Hyperoptable parameters
Prevalence:
* Parameters from parameter file
* Parameters defined in parameters objects (buy_params, sell_params, ...)
* Parameter defaults
"""
params = self.load_params_from_file()
params = params.get('params', {})
self._ft_params_from_file = params
buy_params = deep_merge_dicts(params.get('buy', {}), getattr(self, 'buy_params', {}))
sell_params = deep_merge_dicts(params.get('sell', {}), getattr(self, 'sell_params', {}))
protection_params = deep_merge_dicts(params.get('protection', {}),
buy_params = deep_merge_dicts(self._ft_params_from_file.get('buy', {}),
getattr(self, 'buy_params', {}))
sell_params = deep_merge_dicts(self._ft_params_from_file.get('sell', {}),
getattr(self, 'sell_params', {}))
protection_params = deep_merge_dicts(self._ft_params_from_file.get('protection', {}),
getattr(self, 'protection_params', {}))
self._load_params(buy_params, 'buy', hyperopt)
self._load_params(sell_params, 'sell', hyperopt)
self._load_params(protection_params, 'protection', hyperopt)
self._ft_load_params(buy_params, 'buy', hyperopt)
self._ft_load_params(sell_params, 'sell', hyperopt)
self._ft_load_params(protection_params, 'protection', hyperopt)
def load_params_from_file(self) -> Dict:
filename_str = getattr(self, '__file__', '')
@ -117,7 +132,7 @@ class HyperStrategyMixin:
return {}
def _load_params(self, params: Dict, space: str, hyperopt: bool = False) -> None:
def _ft_load_params(self, params: Dict, space: str, hyperopt: bool = False) -> None:
"""
Set optimizable parameter values.
:param params: Dictionary with new parameter values.
@ -126,7 +141,7 @@ class HyperStrategyMixin:
logger.info(f"No params for {space} found, using default values.")
param_container: List[BaseParameter] = getattr(self, f"ft_{space}_params")
for attr_name, attr in self.detect_parameters(space):
for attr_name, attr in detect_parameters(self, space):
attr.name = attr_name
attr.in_space = hyperopt and HyperoptTools.has_space(self.config, space)
if not attr.category:
@ -157,3 +172,25 @@ class HyperStrategyMixin:
if not p.optimize or not p.in_space:
params[p.category][name] = p.value
return params
def detect_parameters(
obj: Union[HyperStrategyMixin, Type[HyperStrategyMixin]],
category: str
) -> Iterator[Tuple[str, BaseParameter]]:
"""
Detect all parameters for 'category' for "obj"
:param obj: Strategy object or class
:param category: category - usually `'buy', 'sell', 'protection',...
"""
for attr_name in dir(obj):
if not attr_name.startswith('__'): # Ignore internals, not strictly necessary.
attr = getattr(obj, attr_name)
if issubclass(attr.__class__, BaseParameter):
if (attr_name.startswith(category + '_')
and attr.category is not None and attr.category != category):
raise OperationalException(
f'Inconclusive parameter name {attr_name}, category: {attr.category}.')
if (category == attr.category or
(attr_name.startswith(category + '_') and attr.category is None)):
yield attr_name, attr

14
freqtrade/strategy/interface.py
View File

@ -14,6 +14,7 @@ from freqtrade.constants import ListPairsWithTimeframes
from freqtrade.data.dataprovider import DataProvider
from freqtrade.enums import (CandleType, ExitCheckTuple, ExitType, SignalDirection, SignalTagType,
SignalType, TradingMode)
from freqtrade.enums.runmode import RunMode
from freqtrade.exceptions import OperationalException, StrategyError
from freqtrade.exchange import timeframe_to_minutes, timeframe_to_next_date, timeframe_to_seconds
from freqtrade.persistence import Order, PairLocks, Trade
@ -151,6 +152,8 @@ class IStrategy(ABC, HyperStrategyMixin):
"""
strategy_safe_wrapper(self.bot_start)()
self.ft_load_hyper_params(self.config.get('runmode') == RunMode.HYPEROPT)
@abstractmethod
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
@ -284,8 +287,9 @@ class IStrategy(ABC, HyperStrategyMixin):
:param pair: Pair that's about to be bought/shorted.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in target (quote) currency that's going to be traded.
:param amount: Amount in target (base) currency that's going to be traded.
:param rate: Rate that's going to be used when using limit orders
or current rate for market orders.
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param current_time: datetime object, containing the current datetime
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
@ -311,8 +315,9 @@ class IStrategy(ABC, HyperStrategyMixin):
:param pair: Pair for trade that's about to be exited.
:param trade: trade object.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in quote currency.
:param amount: Amount in base currency.
:param rate: Rate that's going to be used when using limit orders
or current rate for market orders.
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param exit_reason: Exit reason.
Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
@ -515,8 +520,8 @@ class IStrategy(ABC, HyperStrategyMixin):
return current_order_rate
def leverage(self, pair: str, current_time: datetime, current_rate: float,
proposed_leverage: float, max_leverage: float, side: str,
**kwargs) -> float:
proposed_leverage: float, max_leverage: float, entry_tag: Optional[str],
side: str, **kwargs) -> float:
"""
Customize leverage for each new trade. This method is only called in futures mode.
@ -525,6 +530,7 @@ class IStrategy(ABC, HyperStrategyMixin):
:param current_rate: Rate, calculated based on pricing settings in exit_pricing.
:param proposed_leverage: A leverage proposed by the bot.
:param max_leverage: Max leverage allowed on this pair
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
:param side: 'long' or 'short' - indicating the direction of the proposed trade
:return: A leverage amount, which is between 1.0 and max_leverage.
"""

17
freqtrade/templates/subtemplates/strategy_methods_advanced.j2
View File

@ -159,8 +159,9 @@ def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: f
:param pair: Pair that's about to be bought/shorted.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in target (quote) currency that's going to be traded.
:param amount: Amount in target (base) currency that's going to be traded.
:param rate: Rate that's going to be used when using limit orders
or current rate for market orders.
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param current_time: datetime object, containing the current datetime
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
@ -175,7 +176,7 @@ def confirm_trade_exit(self, pair: str, trade: 'Trade', order_type: str, amount:
rate: float, time_in_force: str, exit_reason: str,
current_time: 'datetime', **kwargs) -> bool:
"""
Called right before placing a regular sell order.
Called right before placing a regular exit order.
Timing for this function is critical, so avoid doing heavy computations or
network requests in this method.
@ -183,18 +184,19 @@ def confirm_trade_exit(self, pair: str, trade: 'Trade', order_type: str, amount:
When not implemented by a strategy, returns True (always confirming).
:param pair: Pair that's currently analyzed
:param pair: Pair for trade that's about to be exited.
:param trade: trade object.
:param order_type: Order type (as configured in order_types). usually limit or market.
:param amount: Amount in quote currency.
:param amount: Amount in base currency.
:param rate: Rate that's going to be used when using limit orders
or current rate for market orders.
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param exit_reason: Exit reason.
Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
'exit_signal', 'force_exit', 'emergency_exit']
:param current_time: datetime object, containing the current datetime
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the exit-order is placed on the exchange.
:return bool: When True, then the exit-order is placed on the exchange.
False aborts the process
"""
return True
@ -277,8 +279,8 @@ def adjust_trade_position(self, trade: 'Trade', current_time: datetime,
return None
def leverage(self, pair: str, current_time: datetime, current_rate: float,
proposed_leverage: float, max_leverage: float, side: str,
**kwargs) -> float:
proposed_leverage: float, max_leverage: float, entry_tag: Optional[str],
side: str, **kwargs) -> float:
"""
Customize leverage for each new trade. This method is only called in futures mode.
@ -287,6 +289,7 @@ def leverage(self, pair: str, current_time: datetime, current_rate: float,
:param current_rate: Rate, calculated based on pricing settings in exit_pricing.
:param proposed_leverage: A leverage proposed by the bot.
:param max_leverage: Max leverage allowed on this pair
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
:param side: 'long' or 'short' - indicating the direction of the proposed trade
:return: A leverage amount, which is between 1.0 and max_leverage.
"""

8
requirements-dev.txt
View File

@ -7,7 +7,7 @@
coveralls==3.3.1
flake8==4.0.1
flake8-tidy-imports==4.8.0
mypy==0.950
mypy==0.961
pre-commit==2.19.0
pytest==7.1.2
pytest-asyncio==0.18.3
@ -23,7 +23,7 @@ nbconvert==6.5.0
# mypy types
types-cachetools==5.0.1
types-filelock==3.2.6
types-requests==2.27.27
types-filelock==3.2.7
types-requests==2.27.30
types-tabulate==0.8.9
types-python-dateutil==2.8.16
types-python-dateutil==2.8.17

2
requirements-hyperopt.txt
View File

@ -5,5 +5,5 @@
scipy==1.8.1
scikit-learn==1.1.1
scikit-optimize==0.9.0
filelock==3.7.0
filelock==3.7.1
progressbar2==4.0.0

2
requirements-plot.txt
View File

@ -1,4 +1,4 @@
# Include all requirements to run the bot.
-r requirements.txt
plotly==5.8.0
plotly==5.8.2

12
requirements.txt
View File

@ -2,17 +2,17 @@ numpy==1.22.4
pandas==1.4.2
pandas-ta==0.3.14b
ccxt==1.83.62
ccxt==1.87.12
# Pin cryptography for now due to rust build errors with piwheels
cryptography==37.0.2
aiohttp==3.8.1
SQLAlchemy==1.4.36
python-telegram-bot==13.11
SQLAlchemy==1.4.37
python-telegram-bot==13.12
arrow==1.2.2
cachetools==4.2.2
requests==2.27.1
requests==2.28.0
urllib3==1.26.9
jsonschema==4.5.1
jsonschema==4.6.0
TA-Lib==0.4.24
technical==1.3.0
tabulate==0.8.9
@ -28,7 +28,7 @@ py_find_1st==1.1.5
# Load ticker files 30% faster
python-rapidjson==1.6
# Properly format api responses
orjson==3.6.8
orjson==3.7.2
# Notify systemd
sdnotify==0.3.2

4
scripts/rest_client.py
View File

@ -261,7 +261,7 @@ class FtRestClient():
}
return self._post("forcebuy", data=data)
def force_enter(self, pair, side, price=None):
def forceenter(self, pair, side, price=None):
"""Force entering a trade
:param pair: Pair to buy (ETH/BTC)
@ -273,7 +273,7 @@ class FtRestClient():
"side": side,
"price": price,
}
return self._post("force_enter", data=data)
return self._post("forceenter", data=data)
def forceexit(self, tradeid):
"""Force-exit a trade.

4
setup.sh
View File

@ -87,6 +87,10 @@ function updateenv() {
echo "Failed installing Freqtrade"
exit 1
fi
echo "Installing freqUI"
freqtrade install-ui
echo "pip install completed"
echo
if [[ $dev =~ ^[Yy]$ ]]; then

19
tests/conftest.py
View File

@ -325,7 +325,7 @@ def create_mock_trades_with_leverage(fee, use_db: bool = True):
Trade.query.session.flush()
def create_mock_trades_usdt(fee, use_db: bool = True):
def create_mock_trades_usdt(fee, is_short: Optional[bool] = False, use_db: bool = True):
"""
Create some fake trades ...
"""
@ -335,26 +335,29 @@ def create_mock_trades_usdt(fee, use_db: bool = True):
else:
LocalTrade.add_bt_trade(trade)
is_short1 = is_short if is_short is not None else True
is_short2 = is_short if is_short is not None else False
# Simulate dry_run entries
trade = mock_trade_usdt_1(fee)
trade = mock_trade_usdt_1(fee, is_short1)
add_trade(trade)
trade = mock_trade_usdt_2(fee)
trade = mock_trade_usdt_2(fee, is_short1)
add_trade(trade)
trade = mock_trade_usdt_3(fee)
trade = mock_trade_usdt_3(fee, is_short1)
add_trade(trade)
trade = mock_trade_usdt_4(fee)
trade = mock_trade_usdt_4(fee, is_short2)
add_trade(trade)
trade = mock_trade_usdt_5(fee)
trade = mock_trade_usdt_5(fee, is_short2)
add_trade(trade)
trade = mock_trade_usdt_6(fee)
trade = mock_trade_usdt_6(fee, is_short1)
add_trade(trade)
trade = mock_trade_usdt_7(fee)
trade = mock_trade_usdt_7(fee, is_short1)
add_trade(trade)
if use_db:
Trade.commit()

235
tests/conftest_trades_usdt.py
View File

@ -6,47 +6,84 @@ from freqtrade.persistence.models import Order, Trade
MOCK_TRADE_COUNT = 6
def mock_order_usdt_1():
def entry_side(is_short: bool):
return "sell" if is_short else "buy"
def exit_side(is_short: bool):
return "buy" if is_short else "sell"
def direc(is_short: bool):
return "short" if is_short else "long"
def mock_order_usdt_1(is_short: bool):
return {
'id': '1234',
'symbol': 'ADA/USDT',
'id': f'prod_entry_1_{direc(is_short)}',
'symbol': 'LTC/USDT',
'status': 'closed',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 2.0,
'amount': 10.0,
'filled': 10.0,
'price': 10.0,
'amount': 2.0,
'filled': 2.0,
'remaining': 0.0,
}
def mock_trade_usdt_1(fee):
def mock_order_usdt_1_exit(is_short: bool):
return {
'id': f'prod_exit_1_{direc(is_short)}',
'symbol': 'LTC/USDT',
'status': 'closed',
'side': exit_side(is_short),
'type': 'limit',
'price': 8.0,
'amount': 2.0,
'filled': 2.0,
'remaining': 0.0,
}
def mock_trade_usdt_1(fee, is_short: bool):
"""
Simulate prod entry with open sell order
"""
trade = Trade(
pair='ADA/USDT',
pair='LTC/USDT',
stake_amount=20.0,
amount=10.0,
amount_requested=10.0,
amount=2.0,
amount_requested=2.0,
open_date=datetime.now(tz=timezone.utc) - timedelta(days=2, minutes=20),
close_date=datetime.now(tz=timezone.utc) - timedelta(days=2, minutes=5),
fee_open=fee.return_value,
fee_close=fee.return_value,
is_open=True,
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=17),
open_rate=2.0,
is_open=False,
open_rate=10.0,
close_rate=8.0,
close_profit=-0.2,
close_profit_abs=-4.0,
exchange='binance',
open_order_id='dry_run_buy_12345',
strategy='StrategyTestV2',
strategy='SampleStrategy',
open_order_id=f'prod_exit_1_{direc(is_short)}',
timeframe=5,
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_1(), 'ADA/USDT', 'buy')
o = Order.parse_from_ccxt_object(mock_order_usdt_1(is_short), 'LTC/USDT', entry_side(is_short))
trade.orders.append(o)
o = Order.parse_from_ccxt_object(mock_order_usdt_1_exit(is_short),
'LTC/USDT', exit_side(is_short))
trade.orders.append(o)
return trade
def mock_order_usdt_2():
def mock_order_usdt_2(is_short: bool):
return {
'id': '1235',
'id': f'1235_{direc(is_short)}',
'symbol': 'ETC/USDT',
'status': 'closed',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 2.0,
'amount': 100.0,
@ -55,12 +92,12 @@ def mock_order_usdt_2():
}
def mock_order_usdt_2_sell():
def mock_order_usdt_2_exit(is_short: bool):
return {
'id': '12366',
'id': f'12366_{direc(is_short)}',
'symbol': 'ETC/USDT',
'status': 'closed',
'side': 'sell',
'side': exit_side(is_short),
'type': 'limit',
'price': 2.05,
'amount': 100.0,
@ -69,7 +106,7 @@ def mock_order_usdt_2_sell():
}
def mock_trade_usdt_2(fee):
def mock_trade_usdt_2(fee, is_short: bool):
"""
Closed trade...
"""
@ -82,30 +119,33 @@ def mock_trade_usdt_2(fee):
fee_close=fee.return_value,
open_rate=2.0,
close_rate=2.05,
close_profit=5.0,
close_profit=0.05,
close_profit_abs=3.9875,
exchange='binance',
is_open=False,
open_order_id='dry_run_sell_12345',
open_order_id=f'12366_{direc(is_short)}',
strategy='StrategyTestV2',
timeframe=5,
exit_reason='sell_signal',
enter_tag='TEST1',
exit_reason='exit_signal',
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
close_date=datetime.now(tz=timezone.utc) - timedelta(minutes=2),
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_2(), 'ETC/USDT', 'buy')
o = Order.parse_from_ccxt_object(mock_order_usdt_2(is_short), 'ETC/USDT', entry_side(is_short))
trade.orders.append(o)
o = Order.parse_from_ccxt_object(mock_order_usdt_2_sell(), 'ETC/USDT', 'sell')
o = Order.parse_from_ccxt_object(
mock_order_usdt_2_exit(is_short), 'ETC/USDT', exit_side(is_short))
trade.orders.append(o)
return trade
def mock_order_usdt_3():
def mock_order_usdt_3(is_short: bool):
return {
'id': '41231a12a',
'id': f'41231a12a_{direc(is_short)}',
'symbol': 'XRP/USDT',
'status': 'closed',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 1.0,
'amount': 30.0,
@ -114,12 +154,12 @@ def mock_order_usdt_3():
}
def mock_order_usdt_3_sell():
def mock_order_usdt_3_exit(is_short: bool):
return {
'id': '41231a666a',
'id': f'41231a666a_{direc(is_short)}',
'symbol': 'XRP/USDT',
'status': 'closed',
'side': 'sell',
'side': exit_side(is_short),
'type': 'stop_loss_limit',
'price': 1.1,
'average': 1.1,
@ -129,7 +169,7 @@ def mock_order_usdt_3_sell():
}
def mock_trade_usdt_3(fee):
def mock_trade_usdt_3(fee, is_short: bool):
"""
Closed trade
"""
@ -142,29 +182,32 @@ def mock_trade_usdt_3(fee):
fee_close=fee.return_value,
open_rate=1.0,
close_rate=1.1,
close_profit=10.0,
close_profit=0.1,
close_profit_abs=9.8425,
exchange='binance',
is_open=False,
strategy='StrategyTestV2',
timeframe=5,
enter_tag='TEST3',
exit_reason='roi',
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
close_date=datetime.now(tz=timezone.utc),
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_3(), 'XRP/USDT', 'buy')
o = Order.parse_from_ccxt_object(mock_order_usdt_3(is_short), 'XRP/USDT', entry_side(is_short))
trade.orders.append(o)
o = Order.parse_from_ccxt_object(mock_order_usdt_3_sell(), 'XRP/USDT', 'sell')
o = Order.parse_from_ccxt_object(mock_order_usdt_3_exit(is_short),
'XRP/USDT', exit_side(is_short))
trade.orders.append(o)
return trade
def mock_order_usdt_4():
def mock_order_usdt_4(is_short: bool):
return {
'id': 'prod_buy_12345',
'id': f'prod_buy_12345_{direc(is_short)}',
'symbol': 'ETC/USDT',
'status': 'open',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 2.0,
'amount': 10.0,
@ -173,7 +216,7 @@ def mock_order_usdt_4():
}
def mock_trade_usdt_4(fee):
def mock_trade_usdt_4(fee, is_short: bool):
"""
Simulate prod entry
"""
@ -188,21 +231,22 @@ def mock_trade_usdt_4(fee):
is_open=True,
open_rate=2.0,
exchange='binance',
open_order_id='prod_buy_12345',
open_order_id=f'prod_buy_12345_{direc(is_short)}',
strategy='StrategyTestV2',
timeframe=5,
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_4(), 'ETC/USDT', 'buy')
o = Order.parse_from_ccxt_object(mock_order_usdt_4(is_short), 'ETC/USDT', entry_side(is_short))
trade.orders.append(o)
return trade
def mock_order_usdt_5():
def mock_order_usdt_5(is_short: bool):
return {
'id': 'prod_buy_3455',
'id': f'prod_buy_3455_{direc(is_short)}',
'symbol': 'XRP/USDT',
'status': 'closed',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 2.0,
'amount': 10.0,
@ -211,12 +255,12 @@ def mock_order_usdt_5():
}
def mock_order_usdt_5_stoploss():
def mock_order_usdt_5_stoploss(is_short: bool):
return {
'id': 'prod_stoploss_3455',
'id': f'prod_stoploss_3455_{direc(is_short)}',
'symbol': 'XRP/USDT',
'status': 'open',
'side': 'sell',
'side': exit_side(is_short),
'type': 'stop_loss_limit',
'price': 2.0,
'amount': 10.0,
@ -225,7 +269,7 @@ def mock_order_usdt_5_stoploss():
}
def mock_trade_usdt_5(fee):
def mock_trade_usdt_5(fee, is_short: bool):
"""
Simulate prod entry with stoploss
"""
@ -241,22 +285,23 @@ def mock_trade_usdt_5(fee):
open_rate=2.0,
exchange='binance',
strategy='SampleStrategy',
stoploss_order_id='prod_stoploss_3455',
stoploss_order_id=f'prod_stoploss_3455_{direc(is_short)}',
timeframe=5,
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_5(), 'XRP/USDT', 'buy')
o = Order.parse_from_ccxt_object(mock_order_usdt_5(is_short), 'XRP/USDT', entry_side(is_short))
trade.orders.append(o)
o = Order.parse_from_ccxt_object(mock_order_usdt_5_stoploss(), 'XRP/USDT', 'stoploss')
o = Order.parse_from_ccxt_object(mock_order_usdt_5_stoploss(is_short), 'XRP/USDT', 'stoploss')
trade.orders.append(o)
return trade
def mock_order_usdt_6():
def mock_order_usdt_6(is_short: bool):
return {
'id': 'prod_buy_6',
'id': f'prod_entry_6_{direc(is_short)}',
'symbol': 'LTC/USDT',
'status': 'closed',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 10.0,
'amount': 2.0,
@ -265,12 +310,12 @@ def mock_order_usdt_6():
}
def mock_order_usdt_6_sell():
def mock_order_usdt_6_exit(is_short: bool):
return {
'id': 'prod_sell_6',
'id': f'prod_exit_6_{direc(is_short)}',
'symbol': 'LTC/USDT',
'status': 'open',
'side': 'sell',
'side': exit_side(is_short),
'type': 'limit',
'price': 12.0,
'amount': 2.0,
@ -279,7 +324,7 @@ def mock_order_usdt_6_sell():
}
def mock_trade_usdt_6(fee):
def mock_trade_usdt_6(fee, is_short: bool):
"""
Simulate prod entry with open sell order
"""
@ -295,69 +340,49 @@ def mock_trade_usdt_6(fee):
open_rate=10.0,
exchange='binance',
strategy='SampleStrategy',
open_order_id="prod_sell_6",
open_order_id=f'prod_exit_6_{direc(is_short)}',
timeframe=5,
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_6(), 'LTC/USDT', 'buy')
o = Order.parse_from_ccxt_object(mock_order_usdt_6(is_short), 'LTC/USDT', entry_side(is_short))
trade.orders.append(o)
o = Order.parse_from_ccxt_object(mock_order_usdt_6_sell(), 'LTC/USDT', 'sell')
o = Order.parse_from_ccxt_object(mock_order_usdt_6_exit(is_short),
'LTC/USDT', exit_side(is_short))
trade.orders.append(o)
return trade
def mock_order_usdt_7():
def mock_order_usdt_7(is_short: bool):
return {
'id': 'prod_buy_7',
'symbol': 'LTC/USDT',
'id': f'1234_{direc(is_short)}',
'symbol': 'ADA/USDT',
'status': 'closed',
'side': 'buy',
'side': entry_side(is_short),
'type': 'limit',
'price': 10.0,
'amount': 2.0,
'filled': 2.0,
'price': 2.0,
'amount': 10.0,
'filled': 10.0,
'remaining': 0.0,
}
def mock_order_usdt_7_sell():
return {
'id': 'prod_sell_7',
'symbol': 'LTC/USDT',
'status': 'closed',
'side': 'sell',
'type': 'limit',
'price': 8.0,
'amount': 2.0,
'filled': 2.0,
'remaining': 0.0,
}
def mock_trade_usdt_7(fee):
"""
Simulate prod entry with open sell order
"""
def mock_trade_usdt_7(fee, is_short: bool):
trade = Trade(
pair='LTC/USDT',
pair='ADA/USDT',
stake_amount=20.0,
amount=2.0,
amount_requested=2.0,
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
close_date=datetime.now(tz=timezone.utc) - timedelta(minutes=5),
amount=10.0,
amount_requested=10.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
is_open=False,
open_rate=10.0,
close_rate=8.0,
close_profit=-0.2,
close_profit_abs=-4.0,
is_open=True,
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=17),
open_rate=2.0,
exchange='binance',
strategy='SampleStrategy',
open_order_id="prod_sell_6",
open_order_id=f'1234_{direc(is_short)}',
strategy='StrategyTestV2',
timeframe=5,
is_short=is_short,
)
o = Order.parse_from_ccxt_object(mock_order_usdt_7(), 'LTC/USDT', 'buy')
trade.orders.append(o)
o = Order.parse_from_ccxt_object(mock_order_usdt_7_sell(), 'LTC/USDT', 'sell')
o = Order.parse_from_ccxt_object(mock_order_usdt_7(is_short), 'ADA/USDT', entry_side(is_short))
trade.orders.append(o)
return trade

4
tests/data/test_btanalysis.py
View File

@ -85,7 +85,7 @@ def test_load_backtest_data_new_format(testdatadir):
filename = testdatadir / "backtest_results/backtest-result_new.json"
bt_data = load_backtest_data(filename)
assert isinstance(bt_data, DataFrame)
assert set(bt_data.columns) == set(BT_DATA_COLUMNS + ['close_timestamp', 'open_timestamp'])
assert set(bt_data.columns) == set(BT_DATA_COLUMNS)
assert len(bt_data) == 179
# Test loading from string (must yield same result)
@ -110,7 +110,7 @@ def test_load_backtest_data_multi(testdatadir):
bt_data = load_backtest_data(filename, strategy=strategy)
assert isinstance(bt_data, DataFrame)
assert set(bt_data.columns) == set(
BT_DATA_COLUMNS + ['close_timestamp', 'open_timestamp'])
BT_DATA_COLUMNS)
assert len(bt_data) == 179
# Test loading from string (must yield same result)

1
tests/exchange/test_binance.py
View File

@ -154,6 +154,7 @@ def test_stoploss_adjust_binance(mocker, default_conf, sl1, sl2, sl3, side):
order = {
'type': 'stop_loss_limit',
'price': 1500,
'stopPrice': 1500,
'info': {'stopPrice': 1500},
}
assert exchange.stoploss_adjust(sl1, order, side=side)

17
tests/optimize/test_backtesting.py
View File

@ -795,10 +795,27 @@ def test_backtest_one(default_conf, fee, mocker, testdatadir) -> None:
'is_open': [False, False],
'enter_tag': [None, None],
"is_short": [False, False],
'open_timestamp': [1517251200000, 1517283000000],
'close_timestamp': [1517265300000, 1517285400000],
'orders': [
[
{'amount': 0.00957442, 'safe_price': 0.104445, 'ft_order_side': 'buy',
'order_filled_timestamp': 1517251200000, 'ft_is_entry': True},
{'amount': 0.00957442, 'safe_price': 0.10496853383458644, 'ft_order_side': 'sell',
'order_filled_timestamp': 1517265300000, 'ft_is_entry': False}
], [
{'amount': 0.0097064, 'safe_price': 0.10302485, 'ft_order_side': 'buy',
'order_filled_timestamp': 1517283000000, 'ft_is_entry': True},
{'amount': 0.0097064, 'safe_price': 0.10354126528822055, 'ft_order_side': 'sell',
'order_filled_timestamp': 1517285400000, 'ft_is_entry': False}
]
]
})
pd.testing.assert_frame_equal(results, expected)
assert 'orders' in results.columns
data_pair = processed[pair]
for _, t in results.iterrows():
assert len(t['orders']) == 2
ln = data_pair.loc[data_pair["date"] == t["open_date"]]
# Check open trade rate alignes to open rate
assert ln is not None

7
tests/optimize/test_backtesting_adjust_position.py
View File

@ -72,9 +72,14 @@ def test_backtest_position_adjustment(default_conf, fee, mocker, testdatadir) ->
'is_open': [False, False],
'enter_tag': [None, None],
'is_short': [False, False],
'open_timestamp': [1517251200000, 1517283000000],
'close_timestamp': [1517265300000, 1517285400000],
})
pd.testing.assert_frame_equal(results, expected)
pd.testing.assert_frame_equal(results.drop(columns=['orders']), expected)
data_pair = processed[pair]
assert len(results.iloc[0]['orders']) == 6
assert len(results.iloc[1]['orders']) == 2
for _, t in results.iterrows():
ln = data_pair.loc[data_pair["date"] == t["open_date"]]
# Check open trade rate alignes to open rate

1
tests/optimize/test_hyperopt.py
View File

@ -509,7 +509,6 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
hyperopt.min_date = Arrow(2017, 12, 10)
hyperopt.max_date = Arrow(2017, 12, 13)
hyperopt.init_spaces()
hyperopt.dimensions = hyperopt.dimensions
generate_optimizer_value = hyperopt.generate_optimizer(list(optimizer_param.values()))
assert generate_optimizer_value == response_expected

4
tests/plugins/test_pairlist.py
View File

@ -762,8 +762,8 @@ def test_PerformanceFilter_keep_mid_order(mocker, default_conf_usdt, fee, caplog
with time_machine.travel("2021-09-01 05:00:00 +00:00") as t:
create_mock_trades_usdt(fee)
pm.refresh_pairlist()
assert pm.whitelist == ['XRP/USDT', 'ETC/USDT', 'ETH/USDT',
'NEO/USDT', 'TKN/USDT', 'ADA/USDT', 'LTC/USDT']
assert pm.whitelist == ['XRP/USDT', 'ETC/USDT', 'ETH/USDT', 'LTC/USDT',
'NEO/USDT', 'TKN/USDT', 'ADA/USDT', ]
# assert log_has_re(r'Removing pair .* since .* is below .*', caplog)
# Move to "outside" of lookback window, so original sorting is restored.

313
tests/rpc/test_rpc.py
View File

@ -11,11 +11,11 @@ from freqtrade.edge import PairInfo
from freqtrade.enums import SignalDirection, State, TradingMode
from freqtrade.exceptions import ExchangeError, InvalidOrderException, TemporaryError
from freqtrade.persistence import Trade
from freqtrade.persistence.models import Order
from freqtrade.persistence.pairlock_middleware import PairLocks
from freqtrade.rpc import RPC, RPCException
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
from tests.conftest import create_mock_trades, get_patched_freqtradebot, patch_get_signal
from tests.conftest import (create_mock_trades, create_mock_trades_usdt, get_patched_freqtradebot,
patch_get_signal)
# Functions for recurrent object patching
@ -286,8 +286,8 @@ def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
assert isnan(fiat_profit_sum)
def test_rpc_daily_profit(default_conf, update, ticker, fee,
limit_buy_order, limit_sell_order, markets, mocker) -> None:
def test__rpc_timeunit_profit(default_conf_usdt, ticker, fee,
limit_buy_order, limit_sell_order, markets, mocker) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -296,45 +296,35 @@ def test_rpc_daily_profit(default_conf, update, ticker, fee,
markets=PropertyMock(return_value=markets)
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
patch_get_signal(freqtradebot)
stake_currency = default_conf['stake_currency']
fiat_display_currency = default_conf['fiat_display_currency']
freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
create_mock_trades_usdt(fee)
stake_currency = default_conf_usdt['stake_currency']
fiat_display_currency = default_conf_usdt['fiat_display_currency']
rpc = RPC(freqtradebot)
rpc._fiat_converter = CryptoToFiatConverter()
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
# Simulate buy & sell
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
# Try valid data
update.message.text = '/daily 2'
days = rpc._rpc_daily_profit(7, stake_currency, fiat_display_currency)
days = rpc._rpc_timeunit_profit(7, stake_currency, fiat_display_currency)
assert len(days['data']) == 7
assert days['stake_currency'] == default_conf['stake_currency']
assert days['fiat_display_currency'] == default_conf['fiat_display_currency']
assert days['stake_currency'] == default_conf_usdt['stake_currency']
assert days['fiat_display_currency'] == default_conf_usdt['fiat_display_currency']
for day in days['data']:
# [datetime.date(2018, 1, 11), '0.00000000 BTC', '0.000 USD']
assert (day['abs_profit'] == 0.0 or
day['abs_profit'] == 0.00006217)
assert (day['fiat_value'] == 0.0 or
day['fiat_value'] == 0.76748865)
# {'date': datetime.date(2022, 6, 11), 'abs_profit': 13.8299999,
# 'starting_balance': 1055.37, 'rel_profit': 0.0131044,
# 'fiat_value': 0.0, 'trade_count': 2}
assert day['abs_profit'] in (0.0, pytest.approx(13.8299999), pytest.approx(-4.0))
assert day['rel_profit'] in (0.0, pytest.approx(0.01310441), pytest.approx(-0.00377583))
assert day['trade_count'] in (0, 1, 2)
assert day['starting_balance'] in (pytest.approx(1059.37), pytest.approx(1055.37))
assert day['fiat_value'] in (0.0, )
# ensure first day is current date
assert str(days['data'][0]['date']) == str(datetime.utcnow().date())
# Try invalid data
with pytest.raises(RPCException, match=r'.*must be an integer greater than 0*'):
rpc._rpc_daily_profit(0, stake_currency, fiat_display_currency)
rpc._rpc_timeunit_profit(0, stake_currency, fiat_display_currency)
@pytest.mark.parametrize('is_short', [True, False])
@ -418,13 +408,8 @@ def test_rpc_delete_trade(mocker, default_conf, fee, markets, caplog, is_short):
assert stoploss_mock.call_count == 0
def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
limit_buy_order, limit_sell_order, mocker) -> None:
mocker.patch.multiple(
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
get_price=MagicMock(return_value={'bitcoin': {'usd': 15000.0}}),
)
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
def test_rpc_trade_statistics(default_conf_usdt, ticker, fee, mocker) -> None:
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=1.1)
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -432,10 +417,9 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
get_fee=fee,
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
patch_get_signal(freqtradebot)
stake_currency = default_conf['stake_currency']
fiat_display_currency = default_conf['fiat_display_currency']
freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
stake_currency = default_conf_usdt['stake_currency']
fiat_display_currency = default_conf_usdt['fiat_display_currency']
rpc = RPC(freqtradebot)
rpc._fiat_converter = CryptoToFiatConverter()
@ -448,75 +432,40 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
assert res['latest_trade_timestamp'] == 0
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Update the ticker with a market going up
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker_sell_up
)
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
freqtradebot.enter_positions()
trade = Trade.query.first()
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Update the ticker with a market going up
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker_sell_up
)
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
create_mock_trades_usdt(fee)
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert prec_satoshi(stats['profit_closed_coin'], 6.217e-05)
assert prec_satoshi(stats['profit_closed_percent_mean'], 6.2)
assert prec_satoshi(stats['profit_closed_fiat'], 0.93255)
assert prec_satoshi(stats['profit_all_coin'], 5.802e-05)
assert prec_satoshi(stats['profit_all_percent_mean'], 2.89)
assert prec_satoshi(stats['profit_all_fiat'], 0.8703)
assert stats['trade_count'] == 2
assert stats['first_trade_date'] == 'just now'
assert stats['latest_trade_date'] == 'just now'
assert stats['avg_duration'] in ('0:00:00', '0:00:01', '0:00:02')
assert stats['best_pair'] == 'ETH/BTC'
assert prec_satoshi(stats['best_rate'], 6.2)
assert pytest.approx(stats['profit_closed_coin']) == 9.83
assert pytest.approx(stats['profit_closed_percent_mean']) == -1.67
assert pytest.approx(stats['profit_closed_fiat']) == 10.813
assert pytest.approx(stats['profit_all_coin']) == -77.45964918
assert pytest.approx(stats['profit_all_percent_mean']) == -57.86
assert pytest.approx(stats['profit_all_fiat']) == -85.205614098
assert stats['trade_count'] == 7
assert stats['first_trade_date'] == '2 days ago'
assert stats['latest_trade_date'] == '17 minutes ago'
assert stats['avg_duration'] in ('0:17:40')
assert stats['best_pair'] == 'XRP/USDT'
assert stats['best_rate'] == 10.0
# Test non-available pair
mocker.patch('freqtrade.exchange.Exchange.get_rate',
MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
MagicMock(side_effect=ExchangeError("Pair 'XRP/USDT' not available")))
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert stats['trade_count'] == 2
assert stats['first_trade_date'] == 'just now'
assert stats['latest_trade_date'] == 'just now'
assert stats['avg_duration'] in ('0:00:00', '0:00:01', '0:00:02')
assert stats['best_pair'] == 'ETH/BTC'
assert prec_satoshi(stats['best_rate'], 6.2)
assert stats['trade_count'] == 7
assert stats['first_trade_date'] == '2 days ago'
assert stats['latest_trade_date'] == '17 minutes ago'
assert stats['avg_duration'] in ('0:17:40')
assert stats['best_pair'] == 'XRP/USDT'
assert stats['best_rate'] == 10.0
assert isnan(stats['profit_all_coin'])
# Test that rpc_trade_statistics can handle trades that lacks
# trade.open_rate (it is set to None)
def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee,
ticker_sell_up, limit_buy_order, limit_sell_order):
mocker.patch.multiple(
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
get_price=MagicMock(return_value={'bitcoin': {'usd': 15000.0}}),
)
def test_rpc_trade_statistics_closed(mocker, default_conf_usdt, ticker, fee):
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=15000.0)
return_value=1.1)
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -524,46 +473,32 @@ def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee,
get_fee=fee,
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
stake_currency = default_conf['stake_currency']
fiat_display_currency = default_conf['fiat_display_currency']
stake_currency = default_conf_usdt['stake_currency']
fiat_display_currency = default_conf_usdt['fiat_display_currency']
rpc = RPC(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Update the ticker with a market going up
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker_sell_up,
get_fee=fee
)
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
create_mock_trades_usdt(fee)
for trade in Trade.query.order_by(Trade.id).all():
trade.open_rate = None
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert prec_satoshi(stats['profit_closed_coin'], 0)
assert prec_satoshi(stats['profit_closed_percent_mean'], 0)
assert prec_satoshi(stats['profit_closed_fiat'], 0)
assert prec_satoshi(stats['profit_all_coin'], 0)
assert prec_satoshi(stats['profit_all_percent_mean'], 0)
assert prec_satoshi(stats['profit_all_fiat'], 0)
assert stats['trade_count'] == 1
assert stats['first_trade_date'] == 'just now'
assert stats['latest_trade_date'] == 'just now'
assert stats['profit_closed_coin'] == 0
assert stats['profit_closed_percent_mean'] == 0
assert stats['profit_closed_fiat'] == 0
assert stats['profit_all_coin'] == 0
assert stats['profit_all_percent_mean'] == 0
assert stats['profit_all_fiat'] == 0
assert stats['trade_count'] == 7
assert stats['first_trade_date'] == '2 days ago'
assert stats['latest_trade_date'] == '17 minutes ago'
assert stats['avg_duration'] == '0:00:00'
assert stats['best_pair'] == 'ETH/BTC'
assert prec_satoshi(stats['best_rate'], 6.2)
assert stats['best_pair'] == 'XRP/USDT'
assert stats['best_rate'] == 10.0
def test_rpc_balance_handle_error(default_conf, mocker):
@ -916,8 +851,7 @@ def test_rpc_force_exit(default_conf, ticker, fee, mocker) -> None:
assert cancel_order_mock.call_count == 3
def test_performance_handle(default_conf, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
def test_performance_handle(default_conf_usdt, ticker, fee, mocker) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -926,34 +860,21 @@ def test_performance_handle(default_conf, ticker, limit_buy_order, fee,
get_fee=fee,
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
rpc = RPC(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
create_mock_trades_usdt(fee)
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
res = rpc._rpc_performance()
assert len(res) == 1
assert res[0]['pair'] == 'ETH/BTC'
assert len(res) == 3
assert res[0]['pair'] == 'XRP/USDT'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
assert res[0]['profit_pct'] == 10.0
def test_enter_tag_performance_handle(default_conf, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
def test_enter_tag_performance_handle(default_conf, ticker, fee, mocker) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -967,34 +888,22 @@ def test_enter_tag_performance_handle(default_conf, ticker, limit_buy_order, fee
rpc = RPC(freqtradebot)
# Create some test data
create_mock_trades_usdt(fee)
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
res = rpc._rpc_enter_tag_performance(None)
assert len(res) == 1
assert res[0]['enter_tag'] == 'Other'
assert len(res) == 3
assert res[0]['enter_tag'] == 'TEST3'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
assert res[0]['profit_pct'] == 10.0
trade.enter_tag = "TEST_TAG"
res = rpc._rpc_enter_tag_performance(None)
assert len(res) == 1
assert res[0]['enter_tag'] == 'TEST_TAG'
assert len(res) == 3
assert res[0]['enter_tag'] == 'TEST3'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
assert res[0]['profit_pct'] == 10.0
def test_enter_tag_performance_handle_2(mocker, default_conf, markets, fee):
@ -1026,8 +935,7 @@ def test_enter_tag_performance_handle_2(mocker, default_conf, markets, fee):
assert prec_satoshi(res[0]['profit_pct'], 0.5)
def test_exit_reason_performance_handle(default_conf, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
def test_exit_reason_performance_handle(default_conf_usdt, ticker, fee, mocker) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -1036,39 +944,22 @@ def test_exit_reason_performance_handle(default_conf, ticker, limit_buy_order, f
get_fee=fee,
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
freqtradebot = get_patched_freqtradebot(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
rpc = RPC(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
create_mock_trades_usdt(fee)
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
res = rpc._rpc_exit_reason_performance(None)
assert len(res) == 1
assert res[0]['exit_reason'] == 'Other'
assert len(res) == 3
assert res[0]['exit_reason'] == 'roi'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
assert res[0]['profit_pct'] == 10.0
trade.exit_reason = "TEST1"
res = rpc._rpc_exit_reason_performance(None)
assert len(res) == 1
assert res[0]['exit_reason'] == 'TEST1'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
assert res[1]['exit_reason'] == 'exit_signal'
assert res[2]['exit_reason'] == 'Other'
def test_exit_reason_performance_handle_2(mocker, default_conf, markets, fee):
@ -1100,8 +991,7 @@ def test_exit_reason_performance_handle_2(mocker, default_conf, markets, fee):
assert prec_satoshi(res[0]['profit_pct'], 0.5)
def test_mix_tag_performance_handle(default_conf, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
def test_mix_tag_performance_handle(default_conf, ticker, fee, mocker) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -1115,35 +1005,14 @@ def test_mix_tag_performance_handle(default_conf, ticker, limit_buy_order, fee,
rpc = RPC(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
create_mock_trades_usdt(fee)
# Simulate fulfilled LIMIT_BUY order for trade
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
res = rpc._rpc_mix_tag_performance(None)
assert len(res) == 1
assert res[0]['mix_tag'] == 'Other Other'
assert len(res) == 3
assert res[0]['mix_tag'] == 'TEST3 roi'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
trade.enter_tag = "TESTBUY"
trade.exit_reason = "TESTSELL"
res = rpc._rpc_mix_tag_performance(None)
assert len(res) == 1
assert res[0]['mix_tag'] == 'TESTBUY TESTSELL'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit_pct'], 6.2)
assert res[0]['profit_pct'] == 10.0
def test_mix_tag_performance_handle_2(mocker, default_conf, markets, fee):

374
tests/rpc/test_rpc_telegram.py
View File

@ -27,8 +27,9 @@ from freqtrade.persistence.models import Order
from freqtrade.rpc import RPC
from freqtrade.rpc.rpc import RPCException
from freqtrade.rpc.telegram import Telegram, authorized_only
from tests.conftest import (CURRENT_TEST_STRATEGY, create_mock_trades, get_patched_freqtradebot,
log_has, log_has_re, patch_exchange, patch_get_signal, patch_whitelist)
from tests.conftest import (CURRENT_TEST_STRATEGY, create_mock_trades, create_mock_trades_usdt,
get_patched_freqtradebot, log_has, log_has_re, patch_exchange,
patch_get_signal, patch_whitelist)
class DummyCls(Telegram):
@ -404,12 +405,10 @@ def test_status_table_handle(default_conf, update, ticker, fee, mocker) -> None:
assert msg_mock.call_count == 1
def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
default_conf['max_open_trades'] = 1
def test_daily_handle(default_conf_usdt, update, ticker, fee, mocker, time_machine) -> None:
mocker.patch(
'freqtrade.rpc.rpc.CryptoToFiatConverter._find_price',
return_value=15000.0
return_value=1.1
)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -417,27 +416,12 @@ def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
# Move date to within day
time_machine.move_to('2022-06-11 08:00:00+00:00')
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
# Simulate fulfilled LIMIT_BUY order for trade
limit_buy_order['id'] = trade.orders[0].order_id
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_order(limit_buy_order)
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobjs = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobjs)
trade.close_date = datetime.utcnow()
trade.is_open = False
create_mock_trades_usdt(fee)
# Try valid data
# /daily 2
@ -448,10 +432,11 @@ def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
assert "Daily Profit over the last 2 days</b>:" in msg_mock.call_args_list[0][0][0]
assert 'Day ' in msg_mock.call_args_list[0][0][0]
assert str(datetime.utcnow().date()) in msg_mock.call_args_list[0][0][0]
assert str(' 0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 0.933 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 1 trade') in msg_mock.call_args_list[0][0][0]
assert str(' 0 trade') in msg_mock.call_args_list[0][0][0]
assert ' 13.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 15.21 USD' in msg_mock.call_args_list[0][0][0]
assert '(2)' in msg_mock.call_args_list[0][0][0]
assert '(2) 13.83 USDT 15.21 USD 1.31%' in msg_mock.call_args_list[0][0][0]
assert '(0)' in msg_mock.call_args_list[0][0][0]
# Reset msg_mock
msg_mock.reset_mock()
@ -460,32 +445,23 @@ def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
assert msg_mock.call_count == 1
assert "Daily Profit over the last 7 days</b>:" in msg_mock.call_args_list[0][0][0]
assert str(datetime.utcnow().date()) in msg_mock.call_args_list[0][0][0]
assert str(' 0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 0.933 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 1 trade') in msg_mock.call_args_list[0][0][0]
assert str(' 0 trade') in msg_mock.call_args_list[0][0][0]
assert str((datetime.utcnow() - timedelta(days=5)).date()) in msg_mock.call_args_list[0][0][0]
assert ' 13.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 15.21 USD' in msg_mock.call_args_list[0][0][0]
assert '(2)' in msg_mock.call_args_list[0][0][0]
assert '(1)' in msg_mock.call_args_list[0][0][0]
assert '(0)' in msg_mock.call_args_list[0][0][0]
# Reset msg_mock
msg_mock.reset_mock()
freqtradebot.config['max_open_trades'] = 2
# Add two other trades
n = freqtradebot.enter_positions()
assert n == 2
trades = Trade.query.all()
for trade in trades:
trade.update_trade(oobj)
trade.update_trade(oobjs)
trade.close_date = datetime.utcnow()
trade.is_open = False
# /daily 1
context = MagicMock()
context.args = ["1"]
telegram._daily(update=update, context=context)
assert str(' 0.00018651 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 2.798 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 3 trades') in msg_mock.call_args_list[0][0][0]
assert ' 13.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 15.21 USD' in msg_mock.call_args_list[0][0][0]
assert '(2)' in msg_mock.call_args_list[0][0][0]
def test_daily_wrong_input(default_conf, update, ticker, mocker) -> None:
@ -514,15 +490,14 @@ def test_daily_wrong_input(default_conf, update, ticker, mocker) -> None:
context = MagicMock()
context.args = ["today"]
telegram._daily(update=update, context=context)
assert str('Daily Profit over the last 7 days</b>:') in msg_mock.call_args_list[0][0][0]
assert 'Daily Profit over the last 7 days</b>:' in msg_mock.call_args_list[0][0][0]
def test_weekly_handle(default_conf, update, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
default_conf['max_open_trades'] = 1
def test_weekly_handle(default_conf_usdt, update, ticker, fee, mocker, time_machine) -> None:
default_conf_usdt['max_open_trades'] = 1
mocker.patch(
'freqtrade.rpc.rpc.CryptoToFiatConverter._find_price',
return_value=15000.0
return_value=1.1
)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -530,27 +505,10 @@ def test_weekly_handle(default_conf, update, ticker, limit_buy_order, fee,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
# Simulate fulfilled LIMIT_BUY order for trade
limit_buy_order['id'] = trade.orders[0].order_id
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_order(limit_buy_order)
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobjs = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobjs)
trade.close_date = datetime.utcnow()
trade.is_open = False
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
# Move to saturday - so all trades are within that week
time_machine.move_to('2022-06-11')
create_mock_trades_usdt(fee)
# Try valid data
# /weekly 2
@ -564,10 +522,10 @@ def test_weekly_handle(default_conf, update, ticker, limit_buy_order, fee,
today = datetime.utcnow().date()
first_iso_day_of_current_week = today - timedelta(days=today.weekday())
assert str(first_iso_day_of_current_week) in msg_mock.call_args_list[0][0][0]
assert str(' 0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 0.933 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 1 trade') in msg_mock.call_args_list[0][0][0]
assert str(' 0 trade') in msg_mock.call_args_list[0][0][0]
assert ' 9.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 10.81 USD' in msg_mock.call_args_list[0][0][0]
assert '(3)' in msg_mock.call_args_list[0][0][0]
assert '(0)' in msg_mock.call_args_list[0][0][0]
# Reset msg_mock
msg_mock.reset_mock()
@ -577,44 +535,10 @@ def test_weekly_handle(default_conf, update, ticker, limit_buy_order, fee,
assert "Weekly Profit over the last 8 weeks (starting from Monday)</b>:" \
in msg_mock.call_args_list[0][0][0]
assert 'Weekly' in msg_mock.call_args_list[0][0][0]
assert str(' 0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 0.933 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 1 trade') in msg_mock.call_args_list[0][0][0]
assert str(' 0 trade') in msg_mock.call_args_list[0][0][0]
# Reset msg_mock
msg_mock.reset_mock()
freqtradebot.config['max_open_trades'] = 2
# Add two other trades
n = freqtradebot.enter_positions()
assert n == 2
trades = Trade.query.all()
for trade in trades:
trade.update_trade(oobj)
trade.update_trade(oobjs)
trade.close_date = datetime.utcnow()
trade.is_open = False
# /weekly 1
# By default, the 8 previous weeks are shown
# So the previous modified trade should be excluded from the stats
context = MagicMock()
context.args = ["1"]
telegram._weekly(update=update, context=context)
assert str(' 0.00018651 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 2.798 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 3 trades') in msg_mock.call_args_list[0][0][0]
def test_weekly_wrong_input(default_conf, update, ticker, mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
assert ' 9.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 10.81 USD' in msg_mock.call_args_list[0][0][0]
assert '(3)' in msg_mock.call_args_list[0][0][0]
assert '(0)' in msg_mock.call_args_list[0][0][0]
# Try invalid data
msg_mock.reset_mock()
@ -633,16 +557,17 @@ def test_weekly_wrong_input(default_conf, update, ticker, mocker) -> None:
context = MagicMock()
context.args = ["this week"]
telegram._weekly(update=update, context=context)
assert str('Weekly Profit over the last 8 weeks (starting from Monday)</b>:') \
assert (
'Weekly Profit over the last 8 weeks (starting from Monday)</b>:'
in msg_mock.call_args_list[0][0][0]
)
def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
limit_sell_order, mocker) -> None:
default_conf['max_open_trades'] = 1
def test_monthly_handle(default_conf_usdt, update, ticker, fee, mocker, time_machine) -> None:
default_conf_usdt['max_open_trades'] = 1
mocker.patch(
'freqtrade.rpc.rpc.CryptoToFiatConverter._find_price',
return_value=15000.0
return_value=1.1
)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -650,27 +575,10 @@ def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
# Simulate fulfilled LIMIT_BUY order for trade
limit_buy_order['id'] = trade.orders[0].order_id
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_order(limit_buy_order)
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobjs = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobjs)
trade.close_date = datetime.utcnow()
trade.is_open = False
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
# Move to day within the month so all mock trades fall into this week.
time_machine.move_to('2022-06-11')
create_mock_trades_usdt(fee)
# Try valid data
# /monthly 2
@ -683,10 +591,10 @@ def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
today = datetime.utcnow().date()
current_month = f"{today.year}-{today.month:02} "
assert current_month in msg_mock.call_args_list[0][0][0]
assert str(' 0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 0.933 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 1 trade') in msg_mock.call_args_list[0][0][0]
assert str(' 0 trade') in msg_mock.call_args_list[0][0][0]
assert ' 9.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 10.81 USD' in msg_mock.call_args_list[0][0][0]
assert '(3)' in msg_mock.call_args_list[0][0][0]
assert '(0)' in msg_mock.call_args_list[0][0][0]
# Reset msg_mock
msg_mock.reset_mock()
@ -697,24 +605,13 @@ def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
assert 'Monthly Profit over the last 6 months</b>:' in msg_mock.call_args_list[0][0][0]
assert 'Month ' in msg_mock.call_args_list[0][0][0]
assert current_month in msg_mock.call_args_list[0][0][0]
assert str(' 0.00006217 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 0.933 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 1 trade') in msg_mock.call_args_list[0][0][0]
assert str(' 0 trade') in msg_mock.call_args_list[0][0][0]
assert ' 9.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 10.81 USD' in msg_mock.call_args_list[0][0][0]
assert '(3)' in msg_mock.call_args_list[0][0][0]
assert '(0)' in msg_mock.call_args_list[0][0][0]
# Reset msg_mock
msg_mock.reset_mock()
freqtradebot.config['max_open_trades'] = 2
# Add two other trades
n = freqtradebot.enter_positions()
assert n == 2
trades = Trade.query.all()
for trade in trades:
trade.update_trade(oobj)
trade.update_trade(oobjs)
trade.close_date = datetime.utcnow()
trade.is_open = False
# /monthly 12
context = MagicMock()
@ -722,24 +619,14 @@ def test_monthly_handle(default_conf, update, ticker, limit_buy_order, fee,
telegram._monthly(update=update, context=context)
assert msg_mock.call_count == 1
assert 'Monthly Profit over the last 12 months</b>:' in msg_mock.call_args_list[0][0][0]
assert str(' 0.00018651 BTC') in msg_mock.call_args_list[0][0][0]
assert str(' 2.798 USD') in msg_mock.call_args_list[0][0][0]
assert str(' 3 trades') in msg_mock.call_args_list[0][0][0]
assert ' 9.83 USDT' in msg_mock.call_args_list[0][0][0]
assert ' 10.81 USD' in msg_mock.call_args_list[0][0][0]
assert '(3)' in msg_mock.call_args_list[0][0][0]
# The one-digit months should contain a zero, Eg: September 2021 = "2021-09"
# Since we loaded the last 12 months, any month should appear
assert str('-09') in msg_mock.call_args_list[0][0][0]
def test_monthly_wrong_input(default_conf, update, ticker, mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
# Try invalid data
msg_mock.reset_mock()
freqtradebot.state = State.RUNNING
@ -760,16 +647,16 @@ def test_monthly_wrong_input(default_conf, update, ticker, mocker) -> None:
assert str('Monthly Profit over the last 6 months</b>:') in msg_mock.call_args_list[0][0][0]
def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
limit_buy_order, limit_sell_order, mocker) -> None:
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
def test_profit_handle(default_conf_usdt, update, ticker_usdt, ticker_sell_up, fee,
limit_sell_order_usdt, mocker) -> None:
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=1.1)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
fetch_ticker=ticker_usdt,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
telegram._profit(update=update, context=MagicMock())
@ -781,13 +668,6 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
freqtradebot.enter_positions()
trade = Trade.query.first()
# Simulate fulfilled LIMIT_BUY order for trade
limit_buy_order['id'] = trade.orders[0].order_id
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_order(limit_buy_order)
trade.update_trade(oobj)
Trade.commit()
context = MagicMock()
# Test with invalid 2nd argument (should silently pass)
context.args = ["aaa"]
@ -795,15 +675,16 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
assert msg_mock.call_count == 1
assert 'No closed trade' in msg_mock.call_args_list[-1][0][0]
assert '*ROI:* All trades' in msg_mock.call_args_list[-1][0][0]
mocker.patch('freqtrade.wallets.Wallets.get_starting_balance', return_value=0.01)
assert ('∙ `-0.000005 BTC (-0.50%) (-0.0 \N{GREEK CAPITAL LETTER SIGMA}%)`'
mocker.patch('freqtrade.wallets.Wallets.get_starting_balance', return_value=1000)
assert ('∙ `0.298 USDT (0.50%) (0.03 \N{GREEK CAPITAL LETTER SIGMA}%)`'
in msg_mock.call_args_list[-1][0][0])
msg_mock.reset_mock()
# Update the ticker with a market going up
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker', ticker_sell_up)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
oobj = Order.parse_from_ccxt_object(
limit_sell_order_usdt, limit_sell_order_usdt['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.now(timezone.utc)
@ -814,15 +695,15 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
telegram._profit(update=update, context=context)
assert msg_mock.call_count == 1
assert '*ROI:* Closed trades' in msg_mock.call_args_list[-1][0][0]
assert ('∙ `0.00006217 BTC (6.20%) (0.62 \N{GREEK CAPITAL LETTER SIGMA}%)`'
assert ('∙ `5.685 USDT (9.45%) (0.57 \N{GREEK CAPITAL LETTER SIGMA}%)`'
in msg_mock.call_args_list[-1][0][0])
assert '∙ `0.933 USD`' in msg_mock.call_args_list[-1][0][0]
assert '∙ `6.253 USD`' in msg_mock.call_args_list[-1][0][0]
assert '*ROI:* All trades' in msg_mock.call_args_list[-1][0][0]
assert ('∙ `0.00006217 BTC (6.20%) (0.62 \N{GREEK CAPITAL LETTER SIGMA}%)`'
assert ('∙ `5.685 USDT (9.45%) (0.57 \N{GREEK CAPITAL LETTER SIGMA}%)`'
in msg_mock.call_args_list[-1][0][0])
assert '∙ `0.933 USD`' in msg_mock.call_args_list[-1][0][0]
assert '∙ `6.253 USD`' in msg_mock.call_args_list[-1][0][0]
assert '*Best Performing:* `ETH/BTC: 6.20%`' in msg_mock.call_args_list[-1][0][0]
assert '*Best Performing:* `ETH/USDT: 9.45%`' in msg_mock.call_args_list[-1][0][0]
@pytest.mark.parametrize('is_short', [True, False])
@ -1365,75 +1246,43 @@ def test_force_enter_no_pair(default_conf, update, mocker) -> None:
assert fbuy_mock.call_count == 1
def test_telegram_performance_handle(default_conf, update, ticker, fee,
limit_buy_order, limit_sell_order, mocker) -> None:
def test_telegram_performance_handle(default_conf_usdt, update, ticker, fee, mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
create_mock_trades_usdt(fee)
# Simulate fulfilled LIMIT_BUY order for trade
limit_buy_order['id'] = trade.orders[0].order_id
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_order(limit_buy_order)
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
telegram._performance(update=update, context=MagicMock())
assert msg_mock.call_count == 1
assert 'Performance' in msg_mock.call_args_list[0][0][0]
assert '<code>ETH/BTC\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
assert '<code>XRP/USDT\t9.842 USDT (10.00%) (1)</code>' in msg_mock.call_args_list[0][0][0]
def test_telegram_entry_tag_performance_handle(
default_conf, update, ticker, fee, limit_buy_order, limit_sell_order, mocker) -> None:
default_conf_usdt, update, ticker, fee, mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
create_mock_trades_usdt(fee)
# Simulate fulfilled LIMIT_BUY order for trade
limit_buy_order['id'] = trade.orders[0].order_id
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_order(limit_buy_order)
trade.update_trade(oobj)
trade.enter_tag = "TESTBUY"
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
context = MagicMock()
telegram._enter_tag_performance(update=update, context=context)
assert msg_mock.call_count == 1
assert 'Entry Tag Performance' in msg_mock.call_args_list[0][0][0]
assert '<code>TESTBUY\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
assert '<code>TEST1\t3.987 USDT (5.00%) (1)</code>' in msg_mock.call_args_list[0][0][0]
context.args = [trade.pair]
context.args = ['XRP/USDT']
telegram._enter_tag_performance(update=update, context=context)
assert msg_mock.call_count == 2
@ -1446,39 +1295,24 @@ def test_telegram_entry_tag_performance_handle(
assert "Error" in msg_mock.call_args_list[0][0][0]
def test_telegram_exit_reason_performance_handle(default_conf, update, ticker, fee,
limit_buy_order, limit_sell_order, mocker) -> None:
def test_telegram_exit_reason_performance_handle(default_conf_usdt, update, ticker, fee,
mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
trade.exit_reason = 'TESTSELL'
# Simulate fulfilled LIMIT_BUY order for trade
limit_buy_order['id'] = trade.orders[0].order_id
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_order(limit_buy_order)
trade.update_trade(oobj)
create_mock_trades_usdt(fee)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
context = MagicMock()
telegram._exit_reason_performance(update=update, context=context)
assert msg_mock.call_count == 1
assert 'Exit Reason Performance' in msg_mock.call_args_list[0][0][0]
assert '<code>TESTSELL\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
context.args = [trade.pair]
assert '<code>roi\t9.842 USDT (10.00%) (1)</code>' in msg_mock.call_args_list[0][0][0]
context.args = ['XRP/USDT']
telegram._exit_reason_performance(update=update, context=context)
assert msg_mock.call_count == 2
@ -1492,45 +1326,27 @@ def test_telegram_exit_reason_performance_handle(default_conf, update, ticker, f
assert "Error" in msg_mock.call_args_list[0][0][0]
def test_telegram_mix_tag_performance_handle(default_conf, update, ticker, fee,
limit_buy_order, limit_sell_order, mocker) -> None:
def test_telegram_mix_tag_performance_handle(default_conf_usdt, update, ticker, fee,
mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_fee=fee,
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf_usdt)
patch_get_signal(freqtradebot)
# Create some test data
freqtradebot.enter_positions()
trade = Trade.query.first()
assert trade
trade.enter_tag = "TESTBUY"
trade.exit_reason = "TESTSELL"
# Simulate fulfilled LIMIT_BUY order for trade
limit_buy_order['id'] = trade.orders[0].order_id
oobj = Order.parse_from_ccxt_object(limit_buy_order, limit_buy_order['symbol'], 'buy')
trade.update_order(limit_buy_order)
trade.update_trade(oobj)
# Simulate fulfilled LIMIT_SELL order for trade
oobj = Order.parse_from_ccxt_object(limit_sell_order, limit_sell_order['symbol'], 'sell')
trade.update_trade(oobj)
trade.close_date = datetime.utcnow()
trade.is_open = False
create_mock_trades_usdt(fee)
context = MagicMock()
telegram._mix_tag_performance(update=update, context=context)
assert msg_mock.call_count == 1
assert 'Mix Tag Performance' in msg_mock.call_args_list[0][0][0]
assert ('<code>TESTBUY TESTSELL\t0.00006217 BTC (6.20%) (1)</code>'
assert ('<code>TEST3 roi\t9.842 USDT (10.00%) (1)</code>'
in msg_mock.call_args_list[0][0][0])
context.args = [trade.pair]
context.args = ['XRP/USDT']
telegram._mix_tag_performance(update=update, context=context)
assert msg_mock.call_count == 2

41
tests/rpc/test_rpc_webhook.py
View File

@ -1,5 +1,6 @@
# pragma pylint: disable=missing-docstring, C0103, protected-access
from datetime import datetime, timedelta
from unittest.mock import MagicMock
import pytest
@ -7,6 +8,7 @@ from requests import RequestException
from freqtrade.enums import ExitType, RPCMessageType
from freqtrade.rpc import RPC
from freqtrade.rpc.discord import Discord
from freqtrade.rpc.webhook import Webhook
from tests.conftest import get_patched_freqtradebot, log_has
@ -406,3 +408,42 @@ def test__send_msg_with_raw_format(default_conf, mocker, caplog):
webhook._send_msg(msg)
assert post.call_args[1] == {'data': msg['data'], 'headers': {'Content-Type': 'text/plain'}}
def test_send_msg_discord(default_conf, mocker):
default_conf["discord"] = {
'enabled': True,
'webhook_url': "https://webhookurl..."
}
msg_mock = MagicMock()
mocker.patch("freqtrade.rpc.webhook.Webhook._send_msg", msg_mock)
discord = Discord(RPC(get_patched_freqtradebot(mocker, default_conf)), default_conf)
msg = {
'type': RPCMessageType.EXIT_FILL,
'trade_id': 1,
'exchange': 'Binance',
'pair': 'ETH/BTC',
'direction': 'Long',
'gain': "profit",
'close_rate': 0.005,
'amount': 0.8,
'order_type': 'limit',
'open_date': datetime.now() - timedelta(days=1),
'close_date': datetime.now(),
'open_rate': 0.004,
'current_rate': 0.005,
'profit_amount': 0.001,
'profit_ratio': 0.20,
'stake_currency': 'BTC',
'enter_tag': 'enter_tagggg',
'exit_reason': ExitType.STOP_LOSS.value,
}
discord.send_msg(msg=msg)
assert msg_mock.call_count == 1
assert 'embeds' in msg_mock.call_args_list[0][0][0]
assert 'title' in msg_mock.call_args_list[0][0][0]['embeds'][0]
assert 'color' in msg_mock.call_args_list[0][0][0]['embeds'][0]
assert 'fields' in msg_mock.call_args_list[0][0][0]['embeds'][0]

7
tests/strategy/strats/hyperoptable_strategy.py
View File

@ -27,7 +27,6 @@ class HyperoptableStrategy(StrategyTestV2):
'sell_minusdi': 0.4
}
buy_rsi = IntParameter([0, 50], default=30, space='buy')
buy_plusdi = RealParameter(low=0, high=1, default=0.5, space='buy')
sell_rsi = IntParameter(low=50, high=100, default=70, space='sell')
sell_minusdi = DecimalParameter(low=0, high=1, default=0.5001, decimals=3, space='sell',
@ -45,6 +44,12 @@ class HyperoptableStrategy(StrategyTestV2):
})
return prot
def bot_start(self, **kwargs) -> None:
"""
Parameters can also be defined here ...
"""
self.buy_rsi = IntParameter([0, 50], default=30, space='buy')
def informative_pairs(self):
"""
Define additional, informative pair/interval combinations to be cached from the exchange.

4
tests/strategy/strats/strategy_test_v3.py
View File

@ -178,8 +178,8 @@ class StrategyTestV3(IStrategy):
return dataframe
def leverage(self, pair: str, current_time: datetime, current_rate: float,
proposed_leverage: float, max_leverage: float, side: str,
**kwargs) -> float:
proposed_leverage: float, max_leverage: float, entry_tag: Optional[str],
side: str, **kwargs) -> float:
# Return 3.0 in all cases.
# Bot-logic must make sure it's an allowed leverage and eventually adjust accordingly.

39
tests/strategy/test_interface.py
View File

@ -16,10 +16,12 @@ from freqtrade.exceptions import OperationalException, StrategyError
from freqtrade.optimize.space import SKDecimal
from freqtrade.persistence import PairLocks, Trade
from freqtrade.resolvers import StrategyResolver
from freqtrade.strategy.hyper import detect_parameters
from freqtrade.strategy.parameters import (BaseParameter, BooleanParameter, CategoricalParameter,
DecimalParameter, IntParameter, RealParameter)
from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
from tests.conftest import CURRENT_TEST_STRATEGY, TRADE_SIDES, log_has, log_has_re
from tests.conftest import (CURRENT_TEST_STRATEGY, TRADE_SIDES, create_mock_trades, log_has,
log_has_re)
from .strats.strategy_test_v3 import StrategyTestV3
@ -614,6 +616,7 @@ def test_leverage_callback(default_conf, side) -> None:
proposed_leverage=1.0,
max_leverage=5.0,
side=side,
entry_tag=None,
) == 1
default_conf['strategy'] = CURRENT_TEST_STRATEGY
@ -625,6 +628,7 @@ def test_leverage_callback(default_conf, side) -> None:
proposed_leverage=1.0,
max_leverage=5.0,
side=side,
entry_tag='entry_tag_test',
) == 3
@ -809,6 +813,28 @@ def test_strategy_safe_wrapper(value):
assert ret == value
@pytest.mark.usefixtures("init_persistence")
def test_strategy_safe_wrapper_trade_copy(fee):
create_mock_trades(fee)
def working_method(trade):
assert len(trade.orders) > 0
assert trade.orders
trade.orders = []
assert len(trade.orders) == 0
return trade
trade = Trade.get_open_trades()[0]
# Don't assert anything before strategy_wrapper.
# This ensures that relationship loading works correctly.
ret = strategy_safe_wrapper(working_method, message='DeadBeef')(trade=trade)
assert isinstance(ret, Trade)
assert id(trade) != id(ret)
# Did not modify the original order
assert len(trade.orders) > 0
assert len(ret.orders) == 0
def test_hyperopt_parameters():
from skopt.space import Categorical, Integer, Real
with pytest.raises(OperationalException, match=r"Name is determined.*"):
@ -893,7 +919,7 @@ def test_auto_hyperopt_interface(default_conf):
default_conf.update({'strategy': 'HyperoptableStrategy'})
PairLocks.timeframe = default_conf['timeframe']
strategy = StrategyResolver.load_strategy(default_conf)
strategy.ft_bot_start()
with pytest.raises(OperationalException):
next(strategy.enumerate_parameters('deadBeef'))
@ -908,15 +934,18 @@ def test_auto_hyperopt_interface(default_conf):
assert strategy.sell_minusdi.value == 0.5
all_params = strategy.detect_all_parameters()
assert isinstance(all_params, dict)
assert len(all_params['buy']) == 2
# Only one buy param at class level
assert len(all_params['buy']) == 1
# Running detect params at instance level reveals both parameters.
assert len(list(detect_parameters(strategy, 'buy'))) == 2
assert len(all_params['sell']) == 2
# Number of Hyperoptable parameters
assert all_params['count'] == 6
assert all_params['count'] == 5
strategy.__class__.sell_rsi = IntParameter([0, 10], default=5, space='buy')
with pytest.raises(OperationalException, match=r"Inconclusive parameter.*"):
[x for x in strategy.detect_parameters('sell')]
[x for x in detect_parameters(strategy, 'sell')]
def test_auto_hyperopt_interface_loadparams(default_conf, mocker, caplog):

45
tests/test_freqtradebot.py
View File

@ -209,13 +209,14 @@ def test_edge_overrides_stoploss(limit_order, fee, caplog, mocker,
#
# mocking the ticker: price is falling ...
enter_price = limit_order['buy']['price']
ticker_val = {
'bid': enter_price,
'ask': enter_price,
'last': enter_price,
}
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=MagicMock(return_value={
'bid': enter_price * buy_price_mult,
'ask': enter_price * buy_price_mult,
'last': enter_price * buy_price_mult,
}),
fetch_ticker=MagicMock(return_value=ticker_val),
get_fee=fee,
)
#############################################
@ -228,11 +229,12 @@ def test_edge_overrides_stoploss(limit_order, fee, caplog, mocker,
freqtrade.enter_positions()
trade = Trade.query.first()
caplog.clear()
limit_order['buy']['id'] = trade.orders[0].order_id
oobj = Order.parse_from_ccxt_object(limit_order['buy'], 'NEO/BTC', 'buy')
trade.update_order(limit_order['buy'])
trade.update_trade(oobj)
#############################################
ticker_val.update({
'bid': enter_price * buy_price_mult,
'ask': enter_price * buy_price_mult,
'last': enter_price * buy_price_mult,
})
# stoploss shoud be hit
assert freqtrade.handle_trade(trade) is not ignore_strat_sl
@ -1776,9 +1778,7 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, caplog,
'type': 'stop_loss_limit',
'price': 3,
'average': 2,
'info': {
'stopPrice': '2.178'
}
'stopPrice': '2.178'
})
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', stoploss_order_hanging)
@ -2577,6 +2577,7 @@ def test_check_handle_cancelled_buy(
get_fee=fee
)
freqtrade = FreqtradeBot(default_conf_usdt)
open_trade.orders = []
open_trade.is_short = is_short
Trade.query.session.add(open_trade)
@ -2961,6 +2962,7 @@ def test_handle_cancel_enter(mocker, caplog, default_conf_usdt, limit_order, is_
freqtrade = FreqtradeBot(default_conf_usdt)
freqtrade._notify_enter_cancel = MagicMock()
# TODO: Convert to real trade
trade = MagicMock()
trade.pair = 'LTC/USDT'
trade.open_rate = 200
@ -2968,6 +2970,7 @@ def test_handle_cancel_enter(mocker, caplog, default_conf_usdt, limit_order, is_
trade.entry_side = "buy"
l_order['filled'] = 0.0
l_order['status'] = 'open'
trade.nr_of_successful_entries = 0
reason = CANCEL_REASON['TIMEOUT']
assert freqtrade.handle_cancel_enter(trade, l_order, reason)
assert cancel_order_mock.call_count == 1
@ -3010,7 +3013,9 @@ def test_handle_cancel_enter_exchanges(mocker, caplog, default_conf_usdt, is_sho
freqtrade = FreqtradeBot(default_conf_usdt)
reason = CANCEL_REASON['TIMEOUT']
# TODO: Convert to real trade
trade = MagicMock()
trade.nr_of_successful_entries = 0
trade.pair = 'LTC/ETH'
trade.entry_side = "sell" if is_short else "buy"
assert freqtrade.handle_cancel_enter(trade, limit_buy_order_canceled_empty, reason)
@ -3043,13 +3048,14 @@ def test_handle_cancel_enter_corder_empty(mocker, default_conf_usdt, limit_order
freqtrade = FreqtradeBot(default_conf_usdt)
freqtrade._notify_enter_cancel = MagicMock()
# TODO: Convert to real trade
trade = MagicMock()
trade.pair = 'LTC/USDT'
trade.entry_side = "buy"
trade.open_rate = 200
trade.entry_side = "buy"
trade.open_order_id = "open_order_noop"
trade.nr_of_successful_entries = 0
l_order['filled'] = 0.0
l_order['status'] = 'open'
reason = CANCEL_REASON['TIMEOUT']
@ -3783,6 +3789,7 @@ def test_exit_profit_only(
trade = Trade.query.first()
assert trade.is_short == is_short
oobj = Order.parse_from_ccxt_object(limit_order[eside], limit_order[eside]['symbol'], eside)
trade.update_order(limit_order[eside])
trade.update_trade(oobj)
freqtrade.wallets.update()
if profit_only:
@ -4071,6 +4078,7 @@ def test_trailing_stop_loss_positive(
trade = Trade.query.first()
assert trade.is_short == is_short
oobj = Order.parse_from_ccxt_object(limit_order[eside], limit_order[eside]['symbol'], eside)
trade.update_order(limit_order[eside])
trade.update_trade(oobj)
caplog.set_level(logging.DEBUG)
# stop-loss not reached
@ -4816,10 +4824,19 @@ def test_startup_update_open_orders(mocker, default_conf_usdt, fee, caplog, is_s
assert len(Order.get_open_orders()) == 2
caplog.clear()
mocker.patch('freqtrade.exchange.Exchange.fetch_order', side_effect=InvalidOrderException)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', side_effect=ExchangeError)
freqtrade.startup_update_open_orders()
assert log_has_re(r"Error updating Order .*", caplog)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', side_effect=InvalidOrderException)
hto_mock = mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_timedout_order')
# Orders which are no longer found after X days should be assumed as canceled.
freqtrade.startup_update_open_orders()
assert log_has_re(r"Order is older than \d days.*", caplog)
assert hto_mock.call_count == 2
assert hto_mock.call_args_list[0][0][0]['status'] == 'canceled'
assert hto_mock.call_args_list[1][0][0]['status'] == 'canceled'
@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize("is_short", [False, True])