myTestFreqAI/tests/exchange/test_binance.py
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from datetime import datetime, timedelta
from random import randint
from unittest.mock import MagicMock, PropertyMock
import ccxt
import pandas as pd
import pytest
from freqtrade.data.converter.trade_converter import trades_dict_to_list
from freqtrade.enums import CandleType, MarginMode, TradingMode
from freqtrade.exceptions import DependencyException, InvalidOrderException, OperationalException
from freqtrade.exchange.exchange_utils_timeframe import timeframe_to_seconds
from freqtrade.persistence import Trade
from freqtrade.util.datetime_helpers import dt_from_ts, dt_ts, dt_utc
from tests.conftest import EXMS, get_patched_exchange
from tests.exchange.test_exchange import ccxt_exceptionhandlers
@pytest.mark.parametrize(
"side,order_type,time_in_force,expected",
[
("buy", "limit", "gtc", {"timeInForce": "GTC"}),
("buy", "limit", "IOC", {"timeInForce": "IOC"}),
("buy", "market", "IOC", {}),
("buy", "limit", "PO", {"timeInForce": "PO"}),
("sell", "limit", "PO", {"timeInForce": "PO"}),
("sell", "market", "PO", {}),
],
)
def test__get_params_binance(default_conf, mocker, side, order_type, time_in_force, expected):
exchange = get_patched_exchange(mocker, default_conf, exchange="binance")
assert exchange._get_params(side, order_type, 1, False, time_in_force) == expected
@pytest.mark.parametrize("trademode", [TradingMode.FUTURES, TradingMode.SPOT])
@pytest.mark.parametrize(
"limitratio,expected,side",
[
(None, 220 * 0.99, "sell"),
(0.99, 220 * 0.99, "sell"),
(0.98, 220 * 0.98, "sell"),
(None, 220 * 1.01, "buy"),
(0.99, 220 * 1.01, "buy"),
(0.98, 220 * 1.02, "buy"),
],
)
def test_create_stoploss_order_binance(default_conf, mocker, limitratio, expected, side, trademode):
api_mock = MagicMock()
order_id = f"test_prod_buy_{randint(0, 10**6)}"
order_type = "stop_loss_limit" if trademode == TradingMode.SPOT else "stop"
api_mock.create_order = MagicMock(return_value={"id": order_id, "info": {"foo": "bar"}})
default_conf["dry_run"] = False
default_conf["margin_mode"] = MarginMode.ISOLATED
default_conf["trading_mode"] = trademode
mocker.patch(f"{EXMS}.amount_to_precision", lambda s, x, y: y)
mocker.patch(f"{EXMS}.price_to_precision", lambda s, x, y, **kwargs: y)
exchange = get_patched_exchange(mocker, default_conf, api_mock, "binance")
with pytest.raises(InvalidOrderException):
order = exchange.create_stoploss(
pair="ETH/BTC",
amount=1,
stop_price=190,
side=side,
order_types={"stoploss": "limit", "stoploss_on_exchange_limit_ratio": 1.05},
leverage=1.0,
)
api_mock.create_order.reset_mock()
order_types = {"stoploss": "limit", "stoploss_price_type": "mark"}
if limitratio is not None:
order_types.update({"stoploss_on_exchange_limit_ratio": limitratio})
order = exchange.create_stoploss(
pair="ETH/BTC", amount=1, stop_price=220, order_types=order_types, side=side, leverage=1.0
)
assert "id" in order
assert "info" in order
assert order["id"] == order_id
assert api_mock.create_order.call_args_list[0][1]["symbol"] == "ETH/BTC"
assert api_mock.create_order.call_args_list[0][1]["type"] == order_type
assert api_mock.create_order.call_args_list[0][1]["side"] == side
assert api_mock.create_order.call_args_list[0][1]["amount"] == 1
# Price should be 1% below stopprice
assert api_mock.create_order.call_args_list[0][1]["price"] == expected
if trademode == TradingMode.SPOT:
params_dict = {"stopPrice": 220}
else:
params_dict = {"stopPrice": 220, "reduceOnly": True, "workingType": "MARK_PRICE"}
assert api_mock.create_order.call_args_list[0][1]["params"] == params_dict
# test exception handling
with pytest.raises(DependencyException):
api_mock.create_order = MagicMock(side_effect=ccxt.InsufficientFunds("0 balance"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, "binance")
exchange.create_stoploss(
pair="ETH/BTC", amount=1, stop_price=220, order_types={}, side=side, leverage=1.0
)
with pytest.raises(InvalidOrderException):
api_mock.create_order = MagicMock(
side_effect=ccxt.InvalidOrder("binance Order would trigger immediately.")
)
exchange = get_patched_exchange(mocker, default_conf, api_mock, "binance")
exchange.create_stoploss(
pair="ETH/BTC", amount=1, stop_price=220, order_types={}, side=side, leverage=1.0
)
ccxt_exceptionhandlers(
mocker,
default_conf,
api_mock,
"binance",
"create_stoploss",
"create_order",
retries=1,
pair="ETH/BTC",
amount=1,
stop_price=220,
order_types={},
side=side,
leverage=1.0,
)
def test_create_stoploss_order_dry_run_binance(default_conf, mocker):
api_mock = MagicMock()
order_type = "stop_loss_limit"
default_conf["dry_run"] = True
mocker.patch(f"{EXMS}.amount_to_precision", lambda s, x, y: y)
mocker.patch(f"{EXMS}.price_to_precision", lambda s, x, y, **kwargs: y)
exchange = get_patched_exchange(mocker, default_conf, api_mock, "binance")
with pytest.raises(InvalidOrderException):
order = exchange.create_stoploss(
pair="ETH/BTC",
amount=1,
stop_price=190,
side="sell",
order_types={"stoploss_on_exchange_limit_ratio": 1.05},
leverage=1.0,
)
api_mock.create_order.reset_mock()
order = exchange.create_stoploss(
pair="ETH/BTC", amount=1, stop_price=220, order_types={}, side="sell", leverage=1.0
)
assert "id" in order
assert "info" in order
assert "type" in order
assert order["type"] == order_type
assert order["price"] == 220
assert order["amount"] == 1
@pytest.mark.parametrize(
"sl1,sl2,sl3,side", [(1501, 1499, 1501, "sell"), (1499, 1501, 1499, "buy")]
)
def test_stoploss_adjust_binance(mocker, default_conf, sl1, sl2, sl3, side):
exchange = get_patched_exchange(mocker, default_conf, exchange="binance")
order = {
"type": "stop_loss_limit",
"price": 1500,
"stopPrice": 1500,
"info": {"stopPrice": 1500},
}
assert exchange.stoploss_adjust(sl1, order, side=side)
assert not exchange.stoploss_adjust(sl2, order, side=side)
@pytest.mark.parametrize(
"pair, is_short, trading_mode, margin_mode, wallet_balance, "
"maintenance_amt, amount, open_rate, open_trades,"
"mm_ratio, expected",
[
(
"ETH/USDT:USDT",
False,
"futures",
"isolated",
1535443.01,
135365.00,
3683.979,
1456.84,
[],
0.10,
1114.78,
),
(
"ETH/USDT:USDT",
False,
"futures",
"isolated",
1535443.01,
16300.000,
109.488,
32481.980,
[],
0.025,
18778.73,
),
(
"ETH/USDT:USDT",
False,
"futures",
"cross",
1535443.01,
135365.00,
3683.979, # amount
1456.84, # open_rate
[
{
# From calc example
"pair": "BTC/USDT:USDT",
"open_rate": 32481.98,
"amount": 109.488,
"stake_amount": 3556387.02624, # open_rate * amount
"mark_price": 31967.27,
"mm_ratio": 0.025,
"maintenance_amt": 16300.0,
},
{
# From calc example
"pair": "ETH/USDT:USDT",
"open_rate": 1456.84,
"amount": 3683.979,
"stake_amount": 5366967.96,
"mark_price": 1335.18,
"mm_ratio": 0.10,
"maintenance_amt": 135365.00,
},
],
0.10,
1153.26,
),
(
"BTC/USDT:USDT",
False,
"futures",
"cross",
1535443.01,
16300.0,
109.488, # amount
32481.980, # open_rate
[
{
# From calc example
"pair": "BTC/USDT:USDT",
"open_rate": 32481.98,
"amount": 109.488,
"stake_amount": 3556387.02624, # open_rate * amount
"mark_price": 31967.27,
"mm_ratio": 0.025,
"maintenance_amt": 16300.0,
},
{
# From calc example
"pair": "ETH/USDT:USDT",
"open_rate": 1456.84,
"amount": 3683.979,
"stake_amount": 5366967.96,
"mark_price": 1335.18,
"mm_ratio": 0.10,
"maintenance_amt": 135365.00,
},
],
0.025,
26316.89,
),
],
)
def test_liquidation_price_binance(
mocker,
default_conf,
pair,
is_short,
trading_mode,
margin_mode,
wallet_balance,
maintenance_amt,
amount,
open_rate,
open_trades,
mm_ratio,
expected,
):
default_conf["trading_mode"] = trading_mode
default_conf["margin_mode"] = margin_mode
default_conf["liquidation_buffer"] = 0.0
mocker.patch(f"{EXMS}.price_to_precision", lambda s, x, y, **kwargs: y)
exchange = get_patched_exchange(mocker, default_conf, exchange="binance")
def get_maint_ratio(pair_, stake_amount):
if pair_ != pair:
oc = [c for c in open_trades if c["pair"] == pair_][0]
return oc["mm_ratio"], oc["maintenance_amt"]
return mm_ratio, maintenance_amt
def fetch_funding_rates(*args, **kwargs):
return {
t["pair"]: {
"symbol": t["pair"],
"markPrice": t["mark_price"],
}
for t in open_trades
}
exchange.get_maintenance_ratio_and_amt = get_maint_ratio
exchange.fetch_funding_rates = fetch_funding_rates
open_trade_objects = [
Trade(
pair=t["pair"],
open_rate=t["open_rate"],
amount=t["amount"],
stake_amount=t["stake_amount"],
fee_open=0,
)
for t in open_trades
]
assert (
pytest.approx(
round(
exchange.get_liquidation_price(
pair=pair,
open_rate=open_rate,
is_short=is_short,
wallet_balance=wallet_balance,
amount=amount,
stake_amount=open_rate * amount,
leverage=5,
open_trades=open_trade_objects,
),
2,
)
)
== expected
)
def test_fill_leverage_tiers_binance(default_conf, mocker):
api_mock = MagicMock()
api_mock.fetch_leverage_tiers = MagicMock(
return_value={
"ADA/BUSD": [
{
"tier": 1,
"minNotional": 0,
"maxNotional": 100000,
"maintenanceMarginRate": 0.025,
"maxLeverage": 20,
"info": {
"bracket": "1",
"initialLeverage": "20",
"maxNotional": "100000",
"minNotional": "0",
"maintMarginRatio": "0.025",
"cum": "0.0",
},
},
{
"tier": 2,
"minNotional": 100000,
"maxNotional": 500000,
"maintenanceMarginRate": 0.05,
"maxLeverage": 10,
"info": {
"bracket": "2",
"initialLeverage": "10",
"maxNotional": "500000",
"minNotional": "100000",
"maintMarginRatio": "0.05",
"cum": "2500.0",
},
},
{
"tier": 3,
"minNotional": 500000,
"maxNotional": 1000000,
"maintenanceMarginRate": 0.1,
"maxLeverage": 5,
"info": {
"bracket": "3",
"initialLeverage": "5",
"maxNotional": "1000000",
"minNotional": "500000",
"maintMarginRatio": "0.1",
"cum": "27500.0",
},
},
{
"tier": 4,
"minNotional": 1000000,
"maxNotional": 2000000,
"maintenanceMarginRate": 0.15,
"maxLeverage": 3,
"info": {
"bracket": "4",
"initialLeverage": "3",
"maxNotional": "2000000",
"minNotional": "1000000",
"maintMarginRatio": "0.15",
"cum": "77500.0",
},
},
{
"tier": 5,
"minNotional": 2000000,
"maxNotional": 5000000,
"maintenanceMarginRate": 0.25,
"maxLeverage": 2,
"info": {
"bracket": "5",
"initialLeverage": "2",
"maxNotional": "5000000",
"minNotional": "2000000",
"maintMarginRatio": "0.25",
"cum": "277500.0",
},
},
{
"tier": 6,
"minNotional": 5000000,
"maxNotional": 30000000,
"maintenanceMarginRate": 0.5,
"maxLeverage": 1,
"info": {
"bracket": "6",
"initialLeverage": "1",
"maxNotional": "30000000",
"minNotional": "5000000",
"maintMarginRatio": "0.5",
"cum": "1527500.0",
},
},
],
"ZEC/USDT": [
{
"tier": 1,
"minNotional": 0,
"maxNotional": 50000,
"maintenanceMarginRate": 0.01,
"maxLeverage": 50,
"info": {
"bracket": "1",
"initialLeverage": "50",
"maxNotional": "50000",
"minNotional": "0",
"maintMarginRatio": "0.01",
"cum": "0.0",
},
},
{
"tier": 2,
"minNotional": 50000,
"maxNotional": 150000,
"maintenanceMarginRate": 0.025,
"maxLeverage": 20,
"info": {
"bracket": "2",
"initialLeverage": "20",
"maxNotional": "150000",
"minNotional": "50000",
"maintMarginRatio": "0.025",
"cum": "750.0",
},
},
{
"tier": 3,
"minNotional": 150000,
"maxNotional": 250000,
"maintenanceMarginRate": 0.05,
"maxLeverage": 10,
"info": {
"bracket": "3",
"initialLeverage": "10",
"maxNotional": "250000",
"minNotional": "150000",
"maintMarginRatio": "0.05",
"cum": "4500.0",
},
},
{
"tier": 4,
"minNotional": 250000,
"maxNotional": 500000,
"maintenanceMarginRate": 0.1,
"maxLeverage": 5,
"info": {
"bracket": "4",
"initialLeverage": "5",
"maxNotional": "500000",
"minNotional": "250000",
"maintMarginRatio": "0.1",
"cum": "17000.0",
},
},
{
"tier": 5,
"minNotional": 500000,
"maxNotional": 1000000,
"maintenanceMarginRate": 0.125,
"maxLeverage": 4,
"info": {
"bracket": "5",
"initialLeverage": "4",
"maxNotional": "1000000",
"minNotional": "500000",
"maintMarginRatio": "0.125",
"cum": "29500.0",
},
},
{
"tier": 6,
"minNotional": 1000000,
"maxNotional": 2000000,
"maintenanceMarginRate": 0.25,
"maxLeverage": 2,
"info": {
"bracket": "6",
"initialLeverage": "2",
"maxNotional": "2000000",
"minNotional": "1000000",
"maintMarginRatio": "0.25",
"cum": "154500.0",
},
},
{
"tier": 7,
"minNotional": 2000000,
"maxNotional": 30000000,
"maintenanceMarginRate": 0.5,
"maxLeverage": 1,
"info": {
"bracket": "7",
"initialLeverage": "1",
"maxNotional": "30000000",
"minNotional": "2000000",
"maintMarginRatio": "0.5",
"cum": "654500.0",
},
},
],
}
)
default_conf["dry_run"] = False
default_conf["trading_mode"] = TradingMode.FUTURES
default_conf["margin_mode"] = MarginMode.ISOLATED
exchange = get_patched_exchange(mocker, default_conf, api_mock, exchange="binance")
exchange.fill_leverage_tiers()
assert exchange._leverage_tiers == {
"ADA/BUSD": [
{
"minNotional": 0,
"maxNotional": 100000,
"maintenanceMarginRate": 0.025,
"maxLeverage": 20,
"maintAmt": 0.0,
},
{
"minNotional": 100000,
"maxNotional": 500000,
"maintenanceMarginRate": 0.05,
"maxLeverage": 10,
"maintAmt": 2500.0,
},
{
"minNotional": 500000,
"maxNotional": 1000000,
"maintenanceMarginRate": 0.1,
"maxLeverage": 5,
"maintAmt": 27500.0,
},
{
"minNotional": 1000000,
"maxNotional": 2000000,
"maintenanceMarginRate": 0.15,
"maxLeverage": 3,
"maintAmt": 77500.0,
},
{
"minNotional": 2000000,
"maxNotional": 5000000,
"maintenanceMarginRate": 0.25,
"maxLeverage": 2,
"maintAmt": 277500.0,
},
{
"minNotional": 5000000,
"maxNotional": 30000000,
"maintenanceMarginRate": 0.5,
"maxLeverage": 1,
"maintAmt": 1527500.0,
},
],
"ZEC/USDT": [
{
"minNotional": 0,
"maxNotional": 50000,
"maintenanceMarginRate": 0.01,
"maxLeverage": 50,
"maintAmt": 0.0,
},
{
"minNotional": 50000,
"maxNotional": 150000,
"maintenanceMarginRate": 0.025,
"maxLeverage": 20,
"maintAmt": 750.0,
},
{
"minNotional": 150000,
"maxNotional": 250000,
"maintenanceMarginRate": 0.05,
"maxLeverage": 10,
"maintAmt": 4500.0,
},
{
"minNotional": 250000,
"maxNotional": 500000,
"maintenanceMarginRate": 0.1,
"maxLeverage": 5,
"maintAmt": 17000.0,
},
{
"minNotional": 500000,
"maxNotional": 1000000,
"maintenanceMarginRate": 0.125,
"maxLeverage": 4,
"maintAmt": 29500.0,
},
{
"minNotional": 1000000,
"maxNotional": 2000000,
"maintenanceMarginRate": 0.25,
"maxLeverage": 2,
"maintAmt": 154500.0,
},
{
"minNotional": 2000000,
"maxNotional": 30000000,
"maintenanceMarginRate": 0.5,
"maxLeverage": 1,
"maintAmt": 654500.0,
},
],
}
api_mock = MagicMock()
api_mock.load_leverage_tiers = MagicMock()
type(api_mock).has = PropertyMock(return_value={"fetchLeverageTiers": True})
ccxt_exceptionhandlers(
mocker,
default_conf,
api_mock,
"binance",
"fill_leverage_tiers",
"fetch_leverage_tiers",
)
def test_fill_leverage_tiers_binance_dryrun(default_conf, mocker, leverage_tiers):
api_mock = MagicMock()
default_conf["trading_mode"] = TradingMode.FUTURES
default_conf["margin_mode"] = MarginMode.ISOLATED
exchange = get_patched_exchange(mocker, default_conf, api_mock, exchange="binance")
exchange.fill_leverage_tiers()
assert len(exchange._leverage_tiers.keys()) > 100
for key, value in leverage_tiers.items():
v = exchange._leverage_tiers[key]
assert isinstance(v, list)
# Assert if conftest leverage tiers have less or equal tiers than the exchange
assert len(v) >= len(value)
def test_additional_exchange_init_binance(default_conf, mocker):
api_mock = MagicMock()
api_mock.fapiPrivateGetPositionSideDual = MagicMock(return_value={"dualSidePosition": True})
api_mock.fapiPrivateGetMultiAssetsMargin = MagicMock(return_value={"multiAssetsMargin": True})
default_conf["dry_run"] = False
default_conf["trading_mode"] = TradingMode.FUTURES
default_conf["margin_mode"] = MarginMode.ISOLATED
with pytest.raises(
OperationalException,
match=r"Hedge Mode is not supported.*\nMulti-Asset Mode is not supported.*",
):
get_patched_exchange(mocker, default_conf, exchange="binance", api_mock=api_mock)
api_mock.fapiPrivateGetPositionSideDual = MagicMock(return_value={"dualSidePosition": False})
api_mock.fapiPrivateGetMultiAssetsMargin = MagicMock(return_value={"multiAssetsMargin": False})
exchange = get_patched_exchange(mocker, default_conf, exchange="binance", api_mock=api_mock)
assert exchange
ccxt_exceptionhandlers(
mocker,
default_conf,
api_mock,
"binance",
"additional_exchange_init",
"fapiPrivateGetPositionSideDual",
)
def test__set_leverage_binance(mocker, default_conf):
api_mock = MagicMock()
api_mock.set_leverage = MagicMock()
type(api_mock).has = PropertyMock(return_value={"setLeverage": True})
default_conf["dry_run"] = False
default_conf["trading_mode"] = TradingMode.FUTURES
default_conf["margin_mode"] = MarginMode.ISOLATED
exchange = get_patched_exchange(mocker, default_conf, api_mock, exchange="binance")
exchange._set_leverage(3.2, "BTC/USDT:USDT")
assert api_mock.set_leverage.call_count == 1
# Leverage is rounded to 3.
assert api_mock.set_leverage.call_args_list[0][1]["leverage"] == 3
assert api_mock.set_leverage.call_args_list[0][1]["symbol"] == "BTC/USDT:USDT"
ccxt_exceptionhandlers(
mocker,
default_conf,
api_mock,
"binance",
"_set_leverage",
"set_leverage",
pair="XRP/USDT",
leverage=5.0,
)
def patch_binance_vision_ohlcv(mocker, start, archive_end, api_end, timeframe):
def make_storage(start: datetime, end: datetime, timeframe: str):
date = pd.date_range(start, end, freq=timeframe.replace("m", "min"))
df = pd.DataFrame(
data=dict(date=date, open=1.0, high=1.0, low=1.0, close=1.0),
)
return df
archive_storage = make_storage(start, archive_end, timeframe)
api_storage = make_storage(start, api_end, timeframe)
ohlcv = [[dt_ts(start), 1, 1, 1, 1]]
# (pair, timeframe, candle_type, ohlcv, True)
candle_history = [None, None, None, ohlcv, None]
def get_historic_ohlcv(
# self,
pair: str,
timeframe: str,
since_ms: int,
candle_type: CandleType,
is_new_pair: bool = False,
until_ms: int | None = None,
):
since = dt_from_ts(since_ms)
until = dt_from_ts(until_ms) if until_ms else api_end + timedelta(seconds=1)
return api_storage.loc[(api_storage["date"] >= since) & (api_storage["date"] < until)]
async def download_archive_ohlcv(
candle_type,
pair,
timeframe,
since_ms,
until_ms,
markets=None,
stop_on_404=False,
):
since = dt_from_ts(since_ms)
until = dt_from_ts(until_ms) if until_ms else archive_end + timedelta(seconds=1)
if since < start:
pass
return archive_storage.loc[
(archive_storage["date"] >= since) & (archive_storage["date"] < until)
]
candle_mock = mocker.patch(f"{EXMS}._async_get_candle_history", return_value=candle_history)
api_mock = mocker.patch(f"{EXMS}.get_historic_ohlcv", side_effect=get_historic_ohlcv)
archive_mock = mocker.patch(
"freqtrade.exchange.binance.download_archive_ohlcv", side_effect=download_archive_ohlcv
)
return candle_mock, api_mock, archive_mock
@pytest.mark.parametrize(
"timeframe,is_new_pair,since,until,first_date,last_date,candle_called,archive_called,"
"api_called",
[
(
"1m",
True,
dt_utc(2020, 1, 1),
dt_utc(2020, 1, 2),
dt_utc(2020, 1, 1),
dt_utc(2020, 1, 1, 23, 59),
True,
True,
False,
),
(
"1m",
True,
dt_utc(2020, 1, 1),
dt_utc(2020, 1, 3),
dt_utc(2020, 1, 1),
dt_utc(2020, 1, 2, 23, 59),
True,
True,
True,
),
(
"1m",
True,
dt_utc(2020, 1, 2),
dt_utc(2020, 1, 2, 1),
dt_utc(2020, 1, 2),
dt_utc(2020, 1, 2, 0, 59),
True,
False,
True,
),
(
"1m",
False,
dt_utc(2020, 1, 1),
dt_utc(2020, 1, 2),
dt_utc(2020, 1, 1),
dt_utc(2020, 1, 1, 23, 59),
False,
True,
False,
),
(
"1m",
True,
dt_utc(2019, 1, 1),
dt_utc(2020, 1, 2),
dt_utc(2020, 1, 1),
dt_utc(2020, 1, 1, 23, 59),
True,
True,
False,
),
(
"1m",
False,
dt_utc(2019, 1, 1),
dt_utc(2020, 1, 2),
dt_utc(2020, 1, 1),
dt_utc(2020, 1, 1, 23, 59),
False,
True,
False,
),
(
"1m",
False,
dt_utc(2019, 1, 1),
dt_utc(2019, 1, 2),
None,
None,
False,
True,
True,
),
(
"1m",
True,
dt_utc(2019, 1, 1),
dt_utc(2019, 1, 2),
None,
None,
True,
False,
False,
),
(
"1m",
False,
dt_utc(2021, 1, 1),
dt_utc(2021, 1, 2),
None,
None,
False,
False,
False,
),
(
"1m",
True,
dt_utc(2021, 1, 1),
dt_utc(2021, 1, 2),
None,
None,
True,
False,
False,
),
(
"1h",
False,
dt_utc(2020, 1, 1),
dt_utc(2020, 1, 2),
dt_utc(2020, 1, 1),
dt_utc(2020, 1, 1, 23),
False,
False,
True,
),
(
"1m",
False,
dt_utc(2020, 1, 1),
dt_utc(2020, 1, 1, 3, 50, 30),
dt_utc(2020, 1, 1),
dt_utc(2020, 1, 1, 3, 50),
False,
True,
False,
),
],
)
def test_get_historic_ohlcv_binance(
mocker,
default_conf,
timeframe,
is_new_pair,
since,
until,
first_date,
last_date,
candle_called,
archive_called,
api_called,
):
exchange = get_patched_exchange(mocker, default_conf, exchange="binance")
start = dt_utc(2020, 1, 1)
archive_end = dt_utc(2020, 1, 2)
api_end = dt_utc(2020, 1, 3)
candle_mock, api_mock, archive_mock = patch_binance_vision_ohlcv(
mocker, start=start, archive_end=archive_end, api_end=api_end, timeframe=timeframe
)
candle_type = CandleType.SPOT
pair = "BTC/USDT"
since_ms = dt_ts(since)
until_ms = dt_ts(until)
df = exchange.get_historic_ohlcv(pair, timeframe, since_ms, candle_type, is_new_pair, until_ms)
if df.empty:
assert first_date is None
assert last_date is None
else:
assert df["date"].iloc[0] == first_date
assert df["date"].iloc[-1] == last_date
assert (
df["date"].diff().iloc[1:] == timedelta(seconds=timeframe_to_seconds(timeframe))
).all()
if candle_called:
candle_mock.assert_called_once()
if archive_called:
archive_mock.assert_called_once()
if api_called:
api_mock.assert_called_once()
@pytest.mark.parametrize(
"pair,notional_value,mm_ratio,amt",
[
("XRP/USDT:USDT", 0.0, 0.025, 0),
("BNB/USDT:USDT", 100.0, 0.0065, 0),
("BTC/USDT:USDT", 170.30, 0.004, 0),
("XRP/USDT:USDT", 999999.9, 0.1, 27500.0),
("BNB/USDT:USDT", 5000000.0, 0.15, 233035.0),
("BTC/USDT:USDT", 600000000, 0.5, 1.997038e8),
],
)
def test_get_maintenance_ratio_and_amt_binance(
default_conf,
mocker,
leverage_tiers,
pair,
notional_value,
mm_ratio,
amt,
):
mocker.patch(f"{EXMS}.exchange_has", return_value=True)
exchange = get_patched_exchange(mocker, default_conf, exchange="binance")
exchange._leverage_tiers = leverage_tiers
(result_ratio, result_amt) = exchange.get_maintenance_ratio_and_amt(pair, notional_value)
assert (round(result_ratio, 8), round(result_amt, 8)) == (mm_ratio, amt)
async def test__async_get_trade_history_id_binance(default_conf_usdt, mocker, fetch_trades_result):
default_conf_usdt["exchange"]["only_from_ccxt"] = True
exchange = get_patched_exchange(mocker, default_conf_usdt, exchange="binance")
async def mock_get_trade_hist(pair, *args, **kwargs):
if "since" in kwargs:
# older than initial call
if kwargs["since"] < 1565798399752:
return []
else:
# Don't expect to get here
raise ValueError("Unexpected call")
# return fetch_trades_result[:-2]
elif kwargs.get("params", {}).get(exchange._trades_pagination_arg) == "0":
# Return first 3
return fetch_trades_result[:-2]
elif kwargs.get("params", {}).get(exchange._trades_pagination_arg) in (
fetch_trades_result[-3]["id"],
1565798399752,
):
# Return 2
return fetch_trades_result[-3:-1]
else:
# Return last 2
return fetch_trades_result[-2:]
exchange._api_async.fetch_trades = MagicMock(side_effect=mock_get_trade_hist)
pair = "ETH/BTC"
ret = await exchange._async_get_trade_history_id(
pair,
since=fetch_trades_result[0]["timestamp"],
until=fetch_trades_result[-1]["timestamp"] - 1,
)
assert ret[0] == pair
assert isinstance(ret[1], list)
assert exchange._api_async.fetch_trades.call_count == 4
fetch_trades_cal = exchange._api_async.fetch_trades.call_args_list
# first call (using since, not fromId)
assert fetch_trades_cal[0][0][0] == pair
assert fetch_trades_cal[0][1]["since"] == fetch_trades_result[0]["timestamp"]
# 2nd call
assert fetch_trades_cal[1][0][0] == pair
assert "params" in fetch_trades_cal[1][1]
pagination_arg = exchange._ft_has["trades_pagination_arg"]
assert pagination_arg in fetch_trades_cal[1][1]["params"]
# Initial call was with from_id = "0"
assert fetch_trades_cal[1][1]["params"][pagination_arg] == "0"
assert fetch_trades_cal[2][1]["params"][pagination_arg] != "0"
assert fetch_trades_cal[3][1]["params"][pagination_arg] != "0"
# Clean up event loop to avoid warnings
exchange.close()
async def test__async_get_trade_history_id_binance_fast(
default_conf_usdt, mocker, fetch_trades_result
):
default_conf_usdt["exchange"]["only_from_ccxt"] = False
exchange = get_patched_exchange(mocker, default_conf_usdt, exchange="binance")
async def mock_get_trade_hist(pair, *args, **kwargs):
if "since" in kwargs:
pass
# older than initial call
# if kwargs["since"] < 1565798399752:
# return []
# else:
# # Don't expect to get here
# raise ValueError("Unexpected call")
# # return fetch_trades_result[:-2]
elif kwargs.get("params", {}).get(exchange._trades_pagination_arg) == "0":
# Return first 3
return fetch_trades_result[:-2]
# elif kwargs.get("params", {}).get(exchange._trades_pagination_arg) in (
# fetch_trades_result[-3]["id"],
# 1565798399752,
# ):
# # Return 2
# return fetch_trades_result[-3:-1]
# else:
# # Return last 2
# return fetch_trades_result[-2:]
pair = "ETH/BTC"
mocker.patch(
"freqtrade.exchange.binance.download_archive_trades",
return_value=(pair, trades_dict_to_list(fetch_trades_result[-2:])),
)
exchange._api_async.fetch_trades = MagicMock(side_effect=mock_get_trade_hist)
ret = await exchange._async_get_trade_history(
pair,
since=fetch_trades_result[0]["timestamp"],
until=fetch_trades_result[-1]["timestamp"] - 1,
)
assert ret[0] == pair
assert isinstance(ret[1], list)
# Clean up event loop to avoid warnings
exchange.close()