def update_running_pure_mm(pure_mm_strategy: PureMarketMakingStrategy, key: str, new_value: Any):
if key == "bid_spread":
pure_mm_strategy.bid_spread = new_value / Decimal("100")
return True
elif key == "ask_spread":
pure_mm_strategy.ask_spread = new_value / Decimal("100")
return True
return False
def setUp(self):
self.clock_tick_size = 1
self._last_clock_tick = 0
self.clock: Clock = Clock(ClockMode.BACKTEST, self.clock_tick_size,
self.start_timestamp, self.end_timestamp)
self.market: BacktestMarket = BacktestMarket()
self.book_data: MockOrderBookLoader = MockOrderBookLoader(
self.trading_pair, self.base_asset, self.quote_asset)
self.mid_price = 100
self.bid_spread = 0.01
self.ask_spread = 0.01
self.order_refresh_time = 30
self.book_data.set_balanced_order_book(mid_price=self.mid_price,
min_price=1,
max_price=200,
price_step_size=1,
volume_step_size=10)
self.market.add_data(self.book_data)
self.market.set_balance("HBOT", 500)
self.market.set_balance("ETH", 5000)
self.market.set_quantization_param(
QuantizationParams(self.trading_pair, 6, 6, 6, 6))
self.market_info = MarketTradingPairTuple(self.market,
self.trading_pair,
self.base_asset,
self.quote_asset)
self.clock.add_iterator(self.market)
self.one_level_strategy = PureMarketMakingStrategy(
self.market_info,
bid_spread=Decimal("0.01"),
ask_spread=Decimal("0.01"),
order_amount=Decimal("1"),
order_refresh_time=5.0,
filled_order_delay=5.0,
order_refresh_tolerance_pct=-1,
minimum_spread=-1,
)
self.multi_levels_strategy = PureMarketMakingStrategy(
self.market_info,
bid_spread=Decimal("0.01"),
ask_spread=Decimal("0.01"),
order_amount=Decimal("1"),
order_refresh_time=5.0,
filled_order_delay=5.0,
order_refresh_tolerance_pct=-1,
order_levels=3,
order_level_spread=Decimal("0.01"),
order_level_amount=Decimal("1"),
minimum_spread=-1,
)
self._ev_loop = asyncio.get_event_loop()
def main():
# Define the data cache path.
hummingsim.set_data_path(os.path.join(os.environ["PWD"], "data"))
# Define the parameters for the backtest.
start = pd.Timestamp("2019-01-01", tz="UTC")
end = pd.Timestamp("2019-01-02", tz="UTC")
binance_trading_pair = ("ETHUSDT", "ETH", "USDT")
# ddex_trading_pair = ("WETH-DAI", "WETH", "DAI")
binance_market = BacktestMarket()
ddex_market = BacktestMarket()
binance_market.config = MarketConfig(AssetType.BASE_CURRENCY, 0.001,
AssetType.QUOTE_CURRENCY, 0.001, {})
ddex_market.config = MarketConfig(AssetType.BASE_CURRENCY, 0.001,
AssetType.QUOTE_CURRENCY, 0.001, {})
binance_loader = BinanceOrderBookLoaderV2(*binance_trading_pair)
#ddex_loader = DDEXOrderBookLoader(*ddex_trading_pair)
binance_market.add_data(binance_loader)
#ddex_market.add_data(ddex_loader)
binance_market.set_quantization_param(
QuantizationParams("ETHUSDT", 5, 3, 5, 3))
#ddex_market.set_quantization_param(QuantizationParams("WETH-DAI", 5, 3, 5, 3))
market_pair = PureMarketPair(*([binance_market] +
list(binance_trading_pair)))
strategy = PureMarketMakingStrategy(
[market_pair],
order_size=50000,
bid_place_threshold=0.003,
ask_place_threshold=0.003,
logging_options=PureMarketMakingStrategy.OPTION_LOG_ALL)
clock = Clock(ClockMode.BACKTEST,
tick_size=60,
start_time=start.timestamp(),
end_time=end.timestamp())
clock.add_iterator(binance_market)
#clock.add_iterator(ddex_market)
clock.add_iterator(strategy)
binance_market.set_balance("ETH", 100000.0)
binance_market.set_balance("USDT", 100000000.0)
ddex_market.set_balance("WETH", 100000.0)
ddex_market.set_balance("DAI", 1000.0)
current = start.timestamp()
step = 60
while current <= end.timestamp():
current += step
clock.backtest_til(current)
print("clock ticked")
binance_loader.close()
def setUp(self):
self.clock: Clock = Clock(ClockMode.BACKTEST, 60.0,
self.start_timestamp, self.end_timestamp)
self.clock_tick_size = 60
self.maker_market: BacktestMarket = BacktestMarket()
self.maker_data: MockOrderBookLoader = MockOrderBookLoader(
*self.maker_symbols)
self.mid_price = 100
self.bid_threshold = 0.01
self.ask_threshold = 0.01
self.cancel_order_wait_time = 45
self.maker_data.set_balanced_order_book(mid_price=self.mid_price,
min_price=1,
max_price=200,
price_step_size=1,
volume_step_size=10)
self.maker_market.add_data(self.maker_data)
self.maker_market.set_balance("COINALPHA", 500)
self.maker_market.set_balance("WETH", 500)
self.maker_market.set_balance("QETH", 500)
self.maker_market.set_quantization_param(
QuantizationParams(self.maker_symbols[0], 5, 5, 5, 5))
self.market_pair: PureMarketPair = PureMarketPair(
*([self.maker_market] + self.maker_symbols))
logging_options: int = (
PureMarketMakingStrategy.OPTION_LOG_ALL &
(~PureMarketMakingStrategy.OPTION_LOG_NULL_ORDER_SIZE))
self.strategy: {PureMarketMakingStrategy} = PureMarketMakingStrategy(
[self.market_pair],
order_size=1,
bid_place_threshold=self.bid_threshold,
ask_place_threshold=self.ask_threshold,
cancel_order_wait_time=45,
logging_options=logging_options)
self.logging_options = logging_options
self.clock.add_iterator(self.maker_market)
self.clock.add_iterator(self.strategy)
self.maker_order_fill_logger: EventLogger = EventLogger()
self.cancel_order_logger: EventLogger = EventLogger()
self.maker_market.add_listener(MarketEvent.OrderFilled,
self.maker_order_fill_logger)
self.maker_market.add_listener(MarketEvent.OrderCancelled,
self.cancel_order_logger)
async def start_market_making(self, strategy_name: str):
strategy_cm = get_strategy_config_map(strategy_name)
if strategy_name == "cross_exchange_market_making":
maker_market = strategy_cm.get("maker_market").value.lower()
taker_market = strategy_cm.get("taker_market").value.lower()
raw_maker_symbol = strategy_cm.get(
"maker_market_symbol").value.upper()
raw_taker_symbol = strategy_cm.get(
"taker_market_symbol").value.upper()
min_profitability = strategy_cm.get("min_profitability").value
trade_size_override = strategy_cm.get("trade_size_override").value
strategy_report_interval = global_config_map.get(
"strategy_report_interval").value
limit_order_min_expiration = strategy_cm.get(
"limit_order_min_expiration").value
cancel_order_threshold = strategy_cm.get(
"cancel_order_threshold").value
active_order_canceling = strategy_cm.get(
"active_order_canceling").value
top_depth_tolerance_rules = [(re.compile(re_str), value)
for re_str, value in strategy_cm.get(
"top_depth_tolerance").value]
top_depth_tolerance = 0.0
for regex, tolerance_value in top_depth_tolerance_rules:
if regex.match(raw_maker_symbol) is not None:
top_depth_tolerance = tolerance_value
try:
maker_assets: Tuple[str, str] = SymbolSplitter.split(
maker_market, raw_maker_symbol)
taker_assets: Tuple[str, str] = SymbolSplitter.split(
taker_market, raw_taker_symbol)
except ValueError as e:
self.app.log(str(e))
return
market_names: List[Tuple[str, List[str]]] = [
(maker_market, [raw_maker_symbol]),
(taker_market, [raw_taker_symbol])
]
self._initialize_wallet(
token_symbols=list(set(maker_assets + taker_assets)))
self._initialize_markets(market_names)
self.assets = set(maker_assets + taker_assets)
self.market_pair = CrossExchangeMarketPair(
*([self.markets[maker_market], raw_maker_symbol] +
list(maker_assets) +
[self.markets[taker_market], raw_taker_symbol] +
list(taker_assets) + [top_depth_tolerance]))
strategy_logging_options = (
CrossExchangeMarketMakingStrategy.OPTION_LOG_CREATE_ORDER
| CrossExchangeMarketMakingStrategy.OPTION_LOG_ADJUST_ORDER |
CrossExchangeMarketMakingStrategy.OPTION_LOG_MAKER_ORDER_FILLED
| CrossExchangeMarketMakingStrategy.OPTION_LOG_REMOVING_ORDER
| CrossExchangeMarketMakingStrategy.OPTION_LOG_STATUS_REPORT |
CrossExchangeMarketMakingStrategy.OPTION_LOG_MAKER_ORDER_HEDGED
)
self.strategy = CrossExchangeMarketMakingStrategy(
market_pairs=[self.market_pair],
min_profitability=min_profitability,
status_report_interval=strategy_report_interval,
logging_options=strategy_logging_options,
trade_size_override=trade_size_override,
limit_order_min_expiration=limit_order_min_expiration,
cancel_order_threshold=cancel_order_threshold,
active_order_canceling=active_order_canceling)
elif strategy_name == "arbitrage":
primary_market = strategy_cm.get("primary_market").value.lower()
secondary_market = strategy_cm.get(
"secondary_market").value.lower()
raw_primary_symbol = strategy_cm.get(
"primary_market_symbol").value.upper()
raw_secondary_symbol = strategy_cm.get(
"secondary_market_symbol").value.upper()
min_profitability = strategy_cm.get("min_profitability").value
try:
primary_assets: Tuple[str, str] = SymbolSplitter.split(
primary_market, raw_primary_symbol)
secondary_assets: Tuple[str, str] = SymbolSplitter.split(
secondary_market, raw_secondary_symbol)
except ValueError as e:
self.app.log(str(e))
return
market_names: List[Tuple[str, List[str]]] = [
(primary_market, [raw_primary_symbol]),
(secondary_market, [raw_secondary_symbol])
]
self._initialize_wallet(
token_symbols=list(set(primary_assets + secondary_assets)))
self._initialize_markets(market_names)
self.assets = set(primary_assets + secondary_assets)
self.market_pair = ArbitrageMarketPair(
*([self.markets[primary_market], raw_primary_symbol] +
list(primary_assets) +
[self.markets[secondary_market], raw_secondary_symbol] +
list(secondary_assets)))
strategy_logging_options = ArbitrageStrategy.OPTION_LOG_ALL
self.strategy = ArbitrageStrategy(
market_pairs=[self.market_pair],
min_profitability=min_profitability,
logging_options=strategy_logging_options)
elif strategy_name == "pure_market_making":
order_size = strategy_cm.get("order_amount").value
cancel_order_wait_time = strategy_cm.get(
"cancel_order_wait_time").value
bid_place_threshold = strategy_cm.get("bid_place_threshold").value
ask_place_threshold = strategy_cm.get("ask_place_threshold").value
maker_market = strategy_cm.get("maker_market").value.lower()
raw_maker_symbol = strategy_cm.get(
"maker_market_symbol").value.upper()
try:
primary_assets: Tuple[str, str] = SymbolSplitter.split(
maker_market, raw_maker_symbol)
except ValueError as e:
self.app.log(str(e))
return
market_names: List[Tuple[str, List[str]]] = [(maker_market,
[raw_maker_symbol])]
self._initialize_wallet(token_symbols=list(set(primary_assets)))
self._initialize_markets(market_names)
self.assets = set(primary_assets)
self.market_pair = PureMarketPair(
*([self.markets[maker_market], raw_maker_symbol] +
list(primary_assets)))
strategy_logging_options = PureMarketMakingStrategy.OPTION_LOG_ALL
self.strategy = PureMarketMakingStrategy(
market_pairs=[self.market_pair],
order_size=order_size,
bid_place_threshold=bid_place_threshold,
ask_place_threshold=ask_place_threshold,
cancel_order_wait_time=cancel_order_wait_time,
logging_options=strategy_logging_options)
elif strategy_name == "discovery":
try:
market_1 = strategy_cm.get("primary_market").value.lower()
market_2 = strategy_cm.get("secondary_market").value.lower()
target_symbol_1 = list(
strategy_cm.get("target_symbol_1").value)
target_symbol_2 = list(
strategy_cm.get("target_symbol_2").value)
target_profitability = float(
strategy_cm.get("target_profitability").value)
target_amount = float(strategy_cm.get("target_amount").value)
equivalent_token: List[List[str]] = list(
strategy_cm.get("equivalent_tokens").value)
if not target_symbol_2:
target_symbol_2 = SymbolFetcher.get_instance().symbols.get(
market_2, [])
if not target_symbol_1:
target_symbol_1 = SymbolFetcher.get_instance().symbols.get(
market_1, [])
market_names: List[Tuple[str, List[str]]] = [
(market_1, target_symbol_1), (market_2, target_symbol_2)
]
target_base_quote_1: List[Tuple[str, str]] = [
SymbolSplitter.split(market_1, symbol)
for symbol in target_symbol_1
]
target_base_quote_2: List[Tuple[str, str]] = [
SymbolSplitter.split(market_2, symbol)
for symbol in target_symbol_2
]
self._trading_required = False
self._initialize_wallet(
token_symbols=[]
) # wallet required only for dex hard dependency
self._initialize_markets(market_names)
self.market_pair = DiscoveryMarketPair(*([
self.markets[market_1],
self.markets[market_1].get_active_exchange_markets
] + [
self.markets[market_2],
self.markets[market_2].get_active_exchange_markets
]))
self.strategy = DiscoveryStrategy(
market_pairs=[self.market_pair],
target_symbols=target_base_quote_1 + target_base_quote_2,
equivalent_token=equivalent_token,
target_profitability=target_profitability,
target_amount=target_amount)
except Exception as e:
self.app.log(str(e))
self.logger().error("Error initializing strategy.",
exc_info=True)
else:
raise NotImplementedError
try:
self.clock = Clock(ClockMode.REALTIME)
if self.wallet is not None:
self.clock.add_iterator(self.wallet)
for market in self.markets.values():
if market is not None:
self.clock.add_iterator(market)
if self.strategy:
self.clock.add_iterator(self.strategy)
self.strategy_task: asyncio.Task = asyncio.ensure_future(
self._run_clock())
self.app.log(
f"\n '{strategy_name}' strategy started.\n"
f" You can use the `status` command to query the progress.")
self.starting_balances = await self.wait_till_ready(
self.balance_snapshot)
self.stop_loss_tracker = StopLossTracker(
self.data_feed, list(self.assets), list(self.markets.values()),
lambda *args, **kwargs: asyncio.ensure_future(
self.stop(*args, **kwargs)))
await self.wait_till_ready(self.stop_loss_tracker.start)
except Exception as e:
self.logger().error(str(e), exc_info=True)