async def test_random_quantity_handle_balance_update(backtesting_trader):
config, exchange_manager, trader = backtesting_trader
portfolio_profitability = exchange_manager.exchange_personal_data.portfolio_manager.portfolio_profitability
original_symbol_quantity = 10
# set the original values
await portfolio_profitability.handle_balance_update({})
assert portfolio_profitability.profitability == 0
assert portfolio_profitability.profitability_percent == 0
assert portfolio_profitability.profitability_diff == 0
assert portfolio_profitability.portfolio_origin_value == original_symbol_quantity
assert portfolio_profitability.portfolio_current_value == original_symbol_quantity
new_btc_available = random_quantity(max_value=15) # shouldn't impact profitability
new_btc_total = random_quantity(min_value=new_btc_available, max_value=15)
new_prof_percent = (100 * new_btc_total / original_symbol_quantity) - 100
new_balance = update_portfolio_balance({'BTC': {'available': new_btc_available, 'total': new_btc_total}},
exchange_manager)
await portfolio_profitability.handle_balance_update(new_balance)
assert portfolio_profitability.profitability == new_btc_total - original_symbol_quantity
assert portfolio_profitability.profitability_percent == new_prof_percent
assert portfolio_profitability.profitability_diff == new_prof_percent - 0
assert portfolio_profitability.portfolio_origin_value == original_symbol_quantity
assert portfolio_profitability.portfolio_current_value == new_btc_total
new_btc_total_2 = random_quantity(min_value=new_btc_available, max_value=12)
new_prof_percent_2 = (100 * new_btc_total_2 / original_symbol_quantity) - 100
new_balance = update_portfolio_balance({'BTC': {'total': new_btc_total_2}}, exchange_manager)
await portfolio_profitability.handle_balance_update(new_balance)
assert portfolio_profitability.profitability == new_btc_total_2 - original_symbol_quantity
assert portfolio_profitability.profitability_percent == new_prof_percent_2
assert portfolio_profitability.profitability_diff == new_prof_percent_2 - new_prof_percent
assert portfolio_profitability.portfolio_origin_value == original_symbol_quantity
assert portfolio_profitability.portfolio_current_value == new_btc_total_2
async def test_order_book_ticker_update(order_book_manager):
b_price = random_price()
a_price = random_price()
b_quantity = random_quantity()
a_quantity = random_quantity()
order_book_manager.order_book_ticker_update(a_quantity, a_price,
b_quantity, b_price)
assert order_book_manager.ask_quantity == a_quantity
assert order_book_manager.ask_price == a_price
assert order_book_manager.bid_quantity == b_quantity
assert order_book_manager.bid_price == b_price
async def test_sell_limit_order_trigger(sell_limit_order):
order_price = random_price(min_value=1)
sell_limit_order.update(
price=order_price,
quantity=random_quantity(),
symbol=DEFAULT_SYMBOL_ORDER,
order_type=TraderOrderType.SELL_LIMIT,
)
sell_limit_order.exchange_manager.is_backtesting = True # force update_order_status
await sell_limit_order.initialize()
sell_limit_order.exchange_manager.exchange_personal_data.orders_manager.upsert_order_instance(
sell_limit_order)
price_events_manager = sell_limit_order.exchange_manager.exchange_symbols_data.get_exchange_symbol_data(
DEFAULT_SYMBOL_ORDER).price_events_manager
price_events_manager.handle_recent_trades([
random_recent_trade(price=random_price(max_value=order_price - 1),
timestamp=sell_limit_order.timestamp)
])
await wait_asyncio_next_cycle()
assert not sell_limit_order.is_filled()
price_events_manager.handle_recent_trades([
random_recent_trade(price=order_price,
timestamp=sell_limit_order.timestamp - 1)
])
await wait_asyncio_next_cycle()
assert not sell_limit_order.is_filled()
price_events_manager.handle_recent_trades([
random_recent_trade(price=order_price,
timestamp=sell_limit_order.timestamp)
])
await wait_asyncio_next_cycle()
assert sell_limit_order.is_filled()
async def test_stop_loss_buy_order_trigger(stop_loss_buy_order):
order_price = random_price()
stop_loss_buy_order.update(
price=order_price,
quantity=random_quantity(),
symbol=DEFAULT_SYMBOL_ORDER,
order_type=TraderOrderType.STOP_LOSS,
)
stop_loss_buy_order.exchange_manager.is_backtesting = True # force update_order_status
await stop_loss_buy_order.initialize()
stop_loss_buy_order.exchange_manager.exchange_personal_data.orders_manager.upsert_order_instance(
stop_loss_buy_order)
price_events_manager = stop_loss_buy_order.exchange_manager.exchange_symbols_data.get_exchange_symbol_data(
DEFAULT_SYMBOL_ORDER).price_events_manager
# stop loss buy order triggers when price is above or equal to its trigger price
price_events_manager.handle_recent_trades([
random_recent_trade(price=random_price(max_value=order_price - 1),
timestamp=stop_loss_buy_order.timestamp)
])
await wait_asyncio_next_cycle()
assert not stop_loss_buy_order.is_filled()
price_events_manager.handle_recent_trades([
random_recent_trade(price=order_price,
timestamp=stop_loss_buy_order.timestamp - 1)
])
await wait_asyncio_next_cycle()
assert not stop_loss_buy_order.is_filled()
price_events_manager.handle_recent_trades([
random_recent_trade(price=order_price,
timestamp=stop_loss_buy_order.timestamp)
])
await wait_asyncio_next_cycle()
assert stop_loss_buy_order.is_filled()
async def test_take_profit_buy_order_trigger(take_profit_buy_order):
order_price = random_price()
take_profit_buy_order.update(
price=order_price,
quantity=random_quantity(),
symbol=DEFAULT_SYMBOL_ORDER,
order_type=TraderOrderType.TAKE_PROFIT,
)
take_profit_buy_order.exchange_manager.is_backtesting = True # force update_order_status
await take_profit_buy_order.initialize()
take_profit_buy_order.exchange_manager.exchange_personal_data.orders_manager.upsert_order_instance(
take_profit_buy_order
)
price_events_manager = take_profit_buy_order.exchange_manager.exchange_symbols_data.get_exchange_symbol_data(
DEFAULT_SYMBOL_ORDER).price_events_manager
price_events_manager.handle_recent_trades(
[random_recent_trade(price=random_price(min_value=order_price - 1),
timestamp=take_profit_buy_order.timestamp)])
await wait_asyncio_next_cycle()
assert not take_profit_buy_order.is_filled()
price_events_manager.handle_recent_trades(
[random_recent_trade(price=order_price,
timestamp=take_profit_buy_order.timestamp - 1)])
await wait_asyncio_next_cycle()
assert not take_profit_buy_order.is_filled()
price_events_manager.handle_recent_trades([random_recent_trade(price=order_price,
timestamp=take_profit_buy_order.timestamp)])
# wait for 2 cycles as secondary orders are created
await wait_asyncio_next_cycle()
await wait_asyncio_next_cycle()
assert take_profit_buy_order.is_filled()
async def test_update_and_reset_mini_ticker(ticker_manager):
vol = random_quantity()
open_p = random_price()
ticker_manager.mini_ticker_update({
ExchangeConstantsMiniTickerColumns.HIGH_PRICE.value:
random_price(),
ExchangeConstantsMiniTickerColumns.LOW_PRICE.value:
random_price(),
ExchangeConstantsMiniTickerColumns.OPEN_PRICE.value:
open_p,
ExchangeConstantsMiniTickerColumns.CLOSE_PRICE.value:
random_price(),
ExchangeConstantsMiniTickerColumns.VOLUME.value:
vol,
ExchangeConstantsMiniTickerColumns.TIMESTAMP.value:
random_timestamp()
})
assert ticker_manager.mini_ticker[
ExchangeConstantsMiniTickerColumns.VOLUME.value] == vol
assert ticker_manager.mini_ticker[
ExchangeConstantsMiniTickerColumns.OPEN_PRICE.value] == open_p
if not os.getenv('CYTHON_IGNORE'):
ticker_manager.reset_mini_ticker()
assert ticker_manager.mini_ticker == {
ExchangeConstantsMiniTickerColumns.HIGH_PRICE.value: nan,
ExchangeConstantsMiniTickerColumns.LOW_PRICE.value: nan,
ExchangeConstantsMiniTickerColumns.OPEN_PRICE.value: nan,
ExchangeConstantsMiniTickerColumns.CLOSE_PRICE.value: nan,
ExchangeConstantsMiniTickerColumns.VOLUME.value: nan,
ExchangeConstantsMiniTickerColumns.TIMESTAMP.value: 0
}
async def test_buy_market_order_trigger(buy_market_order):
order_price = random_price()
buy_market_order.update(
price=order_price,
quantity=random_quantity(),
symbol=DEFAULT_SYMBOL_ORDER,
order_type=TraderOrderType.BUY_MARKET,
)
buy_market_order.exchange_manager.is_backtesting = True # force update_order_status
await buy_market_order.initialize()
assert buy_market_order.is_filled()
def get_test_order(order_side, order_id, order_price=None, order_size=None):
return {
ECOBIC.SIDE.value:
order_side,
ECOBIC.SIZE.value:
order_size if order_size is not None else random_quantity(),
ECOBIC.PRICE.value:
order_price if order_price is not None else random_price(),
ECOBIC.ORDER_ID.value:
order_id
}
async def initialize_trailing_stop(
order) -> Tuple[TrailingStopOrder, float, PriceEventsManager]:
order_price = random_price()
order.update(
price=order_price,
quantity=random_quantity(),
symbol=DEFAULT_SYMBOL_ORDER,
order_type=TradeOrderType.TRAILING_STOP,
)
order.exchange_manager.is_backtesting = True # force update_order_status
await order.initialize()
price_events_manager = order.exchange_manager.exchange_symbols_data.get_exchange_symbol_data(
DEFAULT_SYMBOL_ORDER).price_events_manager
order.exchange_manager.exchange_personal_data.orders_manager.upsert_order_instance(
order)
return order, order_price, price_events_manager
async def test_buy_market_order_trigger(buy_market_order):
order_price = random_price()
buy_market_order.update(
price=order_price,
quantity=random_quantity(),
symbol=DEFAULT_SYMBOL_ORDER,
order_type=TraderOrderType.BUY_MARKET,
)
buy_market_order.exchange_manager.is_backtesting = True # force update_order_status
await buy_market_order.initialize()
buy_market_order.exchange_manager.exchange_personal_data.orders_manager.upsert_order_instance(
buy_market_order
)
price_events_manager = buy_market_order.exchange_manager.exchange_symbols_data.get_exchange_symbol_data(
DEFAULT_SYMBOL_ORDER).price_events_manager
price_events_manager.handle_recent_trades(
[random_recent_trade(price=random_price(),
timestamp=buy_market_order.timestamp)])
await wait_asyncio_next_cycle()
assert buy_market_order.is_filled()
async def test_limit_and_stop_loss(stop_loss_sell_order, sell_limit_order):
# fill both orders: limit first
limit_order_price = random_price()
quantity = random_quantity()
sell_limit_order.update(
price=limit_order_price,
quantity=quantity,
symbol=DEFAULT_SYMBOL_ORDER,
order_type=TraderOrderType.SELL_LIMIT,
)
stop_order_price = random_price(max_value=limit_order_price - 1)
stop_loss_sell_order.update(price=stop_order_price,
quantity=quantity,
symbol=DEFAULT_SYMBOL_ORDER,
order_type=TraderOrderType.STOP_LOSS,
linked_to=sell_limit_order)
stop_loss_sell_order.linked_orders.append(sell_limit_order)
sell_limit_order.linked_orders.append(stop_loss_sell_order)
stop_loss_sell_order.exchange_manager.is_backtesting = True # force update_order_status
# initialize limit order first
await sell_limit_order.initialize()
await stop_loss_sell_order.initialize()
price_events_manager = stop_loss_sell_order.exchange_manager.exchange_symbols_data.get_exchange_symbol_data(
DEFAULT_SYMBOL_ORDER).price_events_manager
# stop loss sell order triggers when price is bellow or equal to its trigger price
# sell limit order triggers when price is above or equal to its trigger price
# here trigger both: limit is triggered first (initialized first): sell stop loss order should be
# cancelled and not filled even though its price has been hit
price_events_manager.handle_recent_trades([
random_recent_trade(price=random_price(max_value=stop_order_price - 1),
timestamp=sell_limit_order.timestamp),
random_recent_trade(price=random_price(min_value=limit_order_price +
1),
timestamp=stop_loss_sell_order.timestamp)
])
await wait_asyncio_next_cycle()
assert stop_loss_sell_order.is_cancelled()
assert sell_limit_order.is_filled()
async def test_update_and_reset_ticker(ticker_manager):
price = random_price()
tm = random_timestamp()
vlm = random_quantity()
ticker_manager.ticker_update({
ExchangeConstantsTickersColumns.ASK.value:
price,
ExchangeConstantsTickersColumns.ASK_VOLUME.value:
vlm,
ExchangeConstantsTickersColumns.TIMESTAMP.value:
tm
})
assert ticker_manager.ticker[
ExchangeConstantsTickersColumns.ASK.value] == price
assert ticker_manager.ticker[
ExchangeConstantsTickersColumns.ASK_VOLUME.value] == vlm
assert ticker_manager.ticker[
ExchangeConstantsTickersColumns.TIMESTAMP.value] == tm
if not os.getenv('CYTHON_IGNORE'):
ticker_manager.reset_ticker()
assert ticker_manager.ticker == {
ExchangeConstantsTickersColumns.ASK.value: nan,
ExchangeConstantsTickersColumns.ASK_VOLUME.value: nan,
ExchangeConstantsTickersColumns.BID.value: nan,
ExchangeConstantsTickersColumns.BID_VOLUME.value: nan,
ExchangeConstantsTickersColumns.OPEN.value: nan,
ExchangeConstantsTickersColumns.LOW.value: nan,
ExchangeConstantsTickersColumns.HIGH.value: nan,
ExchangeConstantsTickersColumns.CLOSE.value: nan,
ExchangeConstantsTickersColumns.LAST.value: nan,
ExchangeConstantsTickersColumns.AVERAGE.value: nan,
ExchangeConstantsTickersColumns.SYMBOL.value: nan,
ExchangeConstantsTickersColumns.QUOTE_VOLUME.value: nan,
ExchangeConstantsTickersColumns.TIMESTAMP.value: 0,
ExchangeConstantsTickersColumns.VWAP.value: nan
}
async def test_kline_update(kline_manager):
rc_1 = random_kline()
kline_manager.kline_update(rc_1)
assert kline_manager.kline[PriceIndexes.IND_PRICE_CLOSE.value] == rc_1[PriceIndexes.IND_PRICE_CLOSE.value]
# trigger a new candle
rc_2 = [0] * len(PriceIndexes)
rc_2[PriceIndexes.IND_PRICE_CLOSE.value] = 0
rc_2[PriceIndexes.IND_PRICE_OPEN.value] = 0
rc_2[PriceIndexes.IND_PRICE_HIGH.value] = 0
rc_2[PriceIndexes.IND_PRICE_LOW.value] = 0
rc_2[PriceIndexes.IND_PRICE_VOL.value] = 0
rc_2[PriceIndexes.IND_PRICE_TIME.value] = random_timestamp()
kline_manager.kline_update(rc_2)
assert kline_manager.kline != rc_1
# don't trigger a new candle
first_kline = [0] * len(PriceIndexes)
first_kline[PriceIndexes.IND_PRICE_CLOSE.value] = 0
first_kline[PriceIndexes.IND_PRICE_OPEN.value] = 0
first_kline[PriceIndexes.IND_PRICE_HIGH.value] = 0
first_kline[PriceIndexes.IND_PRICE_LOW.value] = 0
first_kline[PriceIndexes.IND_PRICE_VOL.value] = 0
first_kline[PriceIndexes.IND_PRICE_TIME.value] = rc_2[PriceIndexes.IND_PRICE_TIME.value]
assert kline_manager.kline == first_kline
# shouldn't use new low
rc_3 = rc_2
rc_3[PriceIndexes.IND_PRICE_LOW.value] = random_price(1)
kline_manager.kline_update(rc_3)
assert kline_manager.kline == first_kline
# should use new low
rc_4 = rc_3
new_high = random_price(10)
rc_4[PriceIndexes.IND_PRICE_HIGH.value] = new_high
kline_manager.kline_update(rc_4)
second_kline = first_kline
second_kline[PriceIndexes.IND_PRICE_HIGH.value] = new_high
assert kline_manager.kline == second_kline
# shouldn't use new low
rc_5 = rc_4
rc_5[PriceIndexes.IND_PRICE_HIGH.value] = new_high - 1
kline_manager.kline_update(rc_5)
assert kline_manager.kline == second_kline
# should use new low
rc_6 = rc_5
rc_6[PriceIndexes.IND_PRICE_HIGH.value] = new_high + 1
third_kline = second_kline
third_kline[PriceIndexes.IND_PRICE_HIGH.value] = new_high + 1
kline_manager.kline_update(rc_6)
assert kline_manager.kline == third_kline
# should use new vol
rc_7 = rc_6
new_vol = random_quantity()
rc_7[PriceIndexes.IND_PRICE_VOL.value] = new_vol
kline_4 = third_kline
kline_4[PriceIndexes.IND_PRICE_VOL.value] = new_vol
kline_manager.kline_update(rc_7)
assert kline_manager.kline == kline_4
# should use new close
rc_8 = rc_7
new_price = random_price()
rc_8[PriceIndexes.IND_PRICE_CLOSE.value] = new_price
kline_5 = kline_4
kline_5[PriceIndexes.IND_PRICE_CLOSE.value] = new_price
kline_manager.kline_update(rc_8)
assert kline_manager.kline == kline_5
# shouldn't use new open
rc_9 = rc_8
new_open = random_price()
rc_9[PriceIndexes.IND_PRICE_OPEN.value] = new_open
kline_manager.kline_update(rc_9)
assert kline_manager.kline == kline_5
async def test_get_current_crypto_currencies_values(backtesting_trader):
config, exchange_manager, trader = backtesting_trader
portfolio_profitability = exchange_manager.exchange_personal_data.portfolio_manager.portfolio_profitability
assert await portfolio_profitability.get_current_crypto_currencies_values(
) == {
'BTC': 1,
'USDT': 0
}
new_balance = update_portfolio_balance(
{
'BTC': {
'available': random_quantity(),
'total': random_quantity()
},
'ETH': {
'available': random_quantity(),
'total': random_quantity()
},
'XRP': {
'available': random_quantity(),
'total': random_quantity()
},
'NANO': {
'available': random_quantity(),
'total': random_quantity()
},
'XLM': {
'available': random_quantity(),
'total': random_quantity()
},
'USDT': {
'available': random_quantity(),
'total': random_quantity()
}
}, exchange_manager)
await portfolio_profitability.handle_balance_update(new_balance)
assert await portfolio_profitability.get_current_crypto_currencies_values(
) == {
'BTC': 1,
'ETH': 0,
'XRP': 0,
'NANO': 0,
'XLM': 0,
'USDT': 0
}
exchange_manager.client_symbols.append("XLM/BTC")
exchange_manager.client_symbols.append("XRP/BTC")
if not os.getenv('CYTHON_IGNORE'):
portfolio_profitability.missing_currency_data_in_exchange.remove("XRP")
await portfolio_profitability.handle_mark_price_update(
"XRP/BTC", 0.005)
exchange_manager.client_symbols.append("NANO/BTC")
portfolio_profitability.missing_currency_data_in_exchange.remove(
"NANO")
await portfolio_profitability.handle_mark_price_update(
"NANO/BTC", 0.05)
exchange_manager.client_symbols.append("BTC/USDT")
assert await portfolio_profitability.get_current_crypto_currencies_values(
) == {
'BTC': 1,
'ETH': 0,
'XRP': 0.005,
'NANO': 0.05,
'XLM': 0,
'USDT': 0
}
xlm_btc_price = random_price(max_value=0.05)
portfolio_profitability.missing_currency_data_in_exchange.remove("XLM")
await portfolio_profitability.handle_mark_price_update(
"XLM/BTC", xlm_btc_price)
assert await portfolio_profitability.get_current_crypto_currencies_values(
) == {
'BTC': 1,
'ETH': 0,
'XRP': 0.005,
'NANO': 0.05,
'XLM': xlm_btc_price,
'USDT': 0
}
usdt_btc_price = random_price(max_value=0.01)
portfolio_profitability.missing_currency_data_in_exchange.remove(
"USDT")
await portfolio_profitability.handle_mark_price_update(
"BTC/USDT", usdt_btc_price)
assert await portfolio_profitability.get_current_crypto_currencies_values(
) == {
'BTC': 1,
'ETH': 0,
'XRP': 0.005,
'NANO': 0.05,
'XLM': xlm_btc_price,
'USDT': 1 / usdt_btc_price
}
eth_btc_price = random_price(max_value=1)
exchange_manager.client_symbols.append("ETH/BTC")
portfolio_profitability.missing_currency_data_in_exchange.remove("ETH")
await portfolio_profitability.handle_mark_price_update(
"ETH/BTC", eth_btc_price)
assert await portfolio_profitability.get_current_crypto_currencies_values(
) == {
'BTC': 1,
'ETH': eth_btc_price,
'XRP': 0.005,
'NANO': 0.05,
'XLM': xlm_btc_price,
'USDT': 1 / usdt_btc_price
}
