def setUp(self):
self.mock_ddex_active_markets = {
'baseAsset': {'WETH-DAI': 'WETH', 'WETH-TUSD': 'WETH', 'WETH-USDC': 'WETH', 'WETH-PAX': 'WETH'},
'quoteAsset': {'WETH-DAI': 'DAI', 'WETH-TUSD': 'TUSD', 'WETH-USDC': 'USDC', 'WETH-PAX': 'PAX'},
'volume': {'WETH-DAI': '206.22', 'WETH-TUSD': '3.73', 'WETH-USDC': '1.1226', 'WETH-PAX': '0.8'},
'USDVolume': {'WETH-DAI': 57.58657081548, 'WETH-TUSD': 3.73, 'WETH-USDC': 1.1226, 'WETH-PAX': 0.8}}
self.mock_binance_active_markets = {
'baseAsset': {'ETHUSDT': 'ETH', 'ETHPAX': 'ETH', 'ETHUSDC': 'ETH', 'ETHTUSD': 'ETH'},
'quoteAsset': {'ETHUSDT': 'USDT', 'ETHPAX': 'PAX', 'ETHUSDC': 'USDC', 'ETHTUSD': 'TUSD'},
'volume': {'ETHUSDT': '37749967.77544020', 'ETHPAX': '2269572.85440670', 'ETHUSDC': '1019692.71318160', 'ETHTUSD': '779007.75098360'},
'USDVolume': {'ETHUSDT': 37749967.7754402, 'ETHPAX': 2269572.8544067, 'ETHUSDC': 1019692.7131816, 'ETHTUSD': 779007.7509836}}
async def mock_ddex_active_markets_func():
return pd.DataFrame.from_dict(self.mock_ddex_active_markets)
async def mock_binance_active_markets_func():
return pd.DataFrame.from_dict(self.mock_binance_active_markets)
self.target_symbols = [('WETH', 'TUSD'), ('WETH', 'DAI'), ('ETH', 'USDC'), ('ETH', 'TUSD')]
self.equivalent_token = [['USDT', 'USDC', 'USDS', 'DAI', 'PAX', 'TUSD', 'USD'],
['ETH', 'WETH'],
['BTC', 'WBTC']]
self.binance_market = BacktestMarket()
self.ddex_market = BacktestMarket()
self.market_pair = DiscoveryMarketPair(
*([self.binance_market, mock_binance_active_markets_func] +
[self.ddex_market, mock_ddex_active_markets_func])
)
self.strategy = DiscoveryStrategy(market_pairs=[self.market_pair],
target_symbols=self.target_symbols,
equivalent_token=self.equivalent_token
)
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)
class DiscoveryUnitTest(unittest.TestCase):
start: pd.Timestamp = pd.Timestamp("2019-01-01", tz="UTC")
end: pd.Timestamp = pd.Timestamp("2019-01-01 01:00:00", tz="UTC")
start_timestamp: float = start.timestamp()
end_timestamp: float = end.timestamp()
maker_symbols: List[str] = ["COINALPHA-WETH", "COINALPHA", "WETH"]
taker_symbols: List[str] = ["coinalpha/eth", "COINALPHA", "ETH"]
@classmethod
def setUpClass(cls):
pass
def setUp(self):
self.mock_ddex_active_markets = {
'baseAsset': {'WETH-DAI': 'WETH', 'WETH-TUSD': 'WETH', 'WETH-USDC': 'WETH', 'WETH-PAX': 'WETH'},
'quoteAsset': {'WETH-DAI': 'DAI', 'WETH-TUSD': 'TUSD', 'WETH-USDC': 'USDC', 'WETH-PAX': 'PAX'},
'volume': {'WETH-DAI': '206.22', 'WETH-TUSD': '3.73', 'WETH-USDC': '1.1226', 'WETH-PAX': '0.8'},
'USDVolume': {'WETH-DAI': 57.58657081548, 'WETH-TUSD': 3.73, 'WETH-USDC': 1.1226, 'WETH-PAX': 0.8}}
self.mock_binance_active_markets = {
'baseAsset': {'ETHUSDT': 'ETH', 'ETHPAX': 'ETH', 'ETHUSDC': 'ETH', 'ETHTUSD': 'ETH'},
'quoteAsset': {'ETHUSDT': 'USDT', 'ETHPAX': 'PAX', 'ETHUSDC': 'USDC', 'ETHTUSD': 'TUSD'},
'volume': {'ETHUSDT': '37749967.77544020', 'ETHPAX': '2269572.85440670', 'ETHUSDC': '1019692.71318160', 'ETHTUSD': '779007.75098360'},
'USDVolume': {'ETHUSDT': 37749967.7754402, 'ETHPAX': 2269572.8544067, 'ETHUSDC': 1019692.7131816, 'ETHTUSD': 779007.7509836}}
async def mock_ddex_active_markets_func():
return pd.DataFrame.from_dict(self.mock_ddex_active_markets)
async def mock_binance_active_markets_func():
return pd.DataFrame.from_dict(self.mock_binance_active_markets)
self.target_symbols = [('WETH', 'TUSD'), ('WETH', 'DAI'), ('ETH', 'USDC'), ('ETH', 'TUSD')]
self.equivalent_token = [['USDT', 'USDC', 'USDS', 'DAI', 'PAX', 'TUSD', 'USD'],
['ETH', 'WETH'],
['BTC', 'WBTC']]
self.binance_market = BacktestMarket()
self.ddex_market = BacktestMarket()
self.market_pair = DiscoveryMarketPair(
*([self.binance_market, mock_binance_active_markets_func] +
[self.ddex_market, mock_ddex_active_markets_func])
)
self.strategy = DiscoveryStrategy(market_pairs=[self.market_pair],
target_symbols=self.target_symbols,
equivalent_token=self.equivalent_token
)
def test_market_info_spec(self):
exchange_get_market_func_list = [
RadarRelayAPIOrderBookDataSource.get_active_exchange_markets,
# TODO: re-enable test
# BambooRelayAPIOrderBookDataSource.get_active_exchange_markets,
BinanceAPIOrderBookDataSource.get_active_exchange_markets,
DDEXAPIOrderBookDataSource.get_active_exchange_markets
]
for get_active_exchange_markets_func in exchange_get_market_func_list:
df = run(get_active_exchange_markets_func())
self.assertTrue(hasattr(df, "baseAsset"))
self.assertTrue(hasattr(df, "quoteAsset"))
self.assertTrue(hasattr(df, "volume"))
def test_filter_trading_pairs(self):
expected_output_match_all = ["WETH-DAI", "WETH-PAX", "WETH-TUSD", "WETH-USDC"]
self.assertTrue(expected_output_match_all == list(self.strategy.filter_trading_pairs(
[["DAI"]],
pd.DataFrame.from_dict(self.mock_ddex_active_markets),
[["DAI", "PAX", "TUSD", "USDC"]]).index))
self.assertTrue(expected_output_match_all == list(self.strategy.filter_trading_pairs(
[["ETH"]],
pd.DataFrame.from_dict(self.mock_ddex_active_markets),
[["ETH", "WETH"]]).index))
expected_output_match_single = ["WETH-DAI"]
self.assertTrue(expected_output_match_single == list(self.strategy.filter_trading_pairs(
[["WETH", "DAI"]],
pd.DataFrame.from_dict(self.mock_ddex_active_markets),
[]).index))
self.assertTrue(expected_output_match_single == list(self.strategy.filter_trading_pairs(
[["ETH", "DAI"]],
pd.DataFrame.from_dict(self.mock_ddex_active_markets),
[["ETH", "WETH"]]).index))
self.assertTrue([] == list(self.strategy.filter_trading_pairs(
[["ETH"]],
pd.DataFrame.from_dict(self.mock_ddex_active_markets),
[]).index))
def test_matching_pairs(self):
expected_pair = {(('ETHPAX', 'ETH', 'PAX'), ('WETH-TUSD', 'WETH', 'TUSD')),
(('ETHTUSD', 'ETH', 'TUSD'), ('WETH-DAI', 'WETH', 'DAI')),
(('ETHTUSD', 'ETH', 'TUSD'), ('WETH-PAX', 'WETH', 'PAX')),
(('ETHUSDT', 'ETH', 'USDT'), ('WETH-PAX', 'WETH', 'PAX')),
(('ETHTUSD', 'ETH', 'TUSD'), ('WETH-USDC', 'WETH', 'USDC')),
(('ETHUSDT', 'ETH', 'USDT'), ('WETH-USDC', 'WETH', 'USDC')),
(('ETHUSDT', 'ETH', 'USDT'), ('WETH-DAI', 'WETH', 'DAI')),
(('ETHUSDC', 'ETH', 'USDC'), ('WETH-TUSD', 'WETH', 'TUSD')),
(('ETHUSDC', 'ETH', 'USDC'), ('WETH-DAI', 'WETH', 'DAI')),
(('ETHTUSD', 'ETH', 'TUSD'), ('WETH-TUSD', 'WETH', 'TUSD')),
(('ETHPAX', 'ETH', 'PAX'), ('WETH-DAI', 'WETH', 'DAI')),
(('ETHPAX', 'ETH', 'PAX'), ('WETH-PAX', 'WETH', 'PAX')),
(('ETHPAX', 'ETH', 'PAX'), ('WETH-USDC', 'WETH', 'USDC')),
(('ETHUSDT', 'ETH', 'USDT'), ('WETH-TUSD', 'WETH', 'TUSD')),
(('ETHUSDC', 'ETH', 'USDC'), ('WETH-USDC', 'WETH', 'USDC')),
(('ETHUSDC', 'ETH', 'USDC'), ('WETH-PAX', 'WETH', 'PAX'))}
run(self.strategy.fetch_market_info(self.market_pair))
self.assertTrue(self.strategy.get_matching_pair(self.market_pair) == expected_pair)
class HummingbotApplication:
KILL_TIMEOUT = 5.0
APP_WARNING_EXPIRY_DURATION = 3600.0
APP_WARNING_STATUS_LIMIT = 6
_main_app: Optional["HummingbotApplication"] = None
@classmethod
def logger(cls) -> HummingbotLogger:
global s_logger
if s_logger is None:
s_logger = logging.getLogger(__name__)
return s_logger
@classmethod
def main_application(cls) -> "HummingbotApplication":
if cls._main_app is None:
cls._main_app = HummingbotApplication()
return cls._main_app
def __init__(self):
self.ev_loop: asyncio.BaseEventLoop = asyncio.get_event_loop()
self.parser: ThrowingArgumentParser = load_parser(self)
self.app = HummingbotCLI(input_handler=self._handle_command,
bindings=load_key_bindings(self),
completer=load_completer(self))
self.acct: Optional[LocalAccount] = None
self.markets: Dict[str, MarketBase] = {}
self.wallet: Optional[Web3Wallet] = None
self.strategy_task: Optional[asyncio.Task] = None
self.strategy: Optional[CrossExchangeMarketMakingStrategy] = None
self.market_pair: Optional[CrossExchangeMarketPair] = None
self.clock: Optional[Clock] = None
self.assets: Optional[Set[str]] = set()
self.starting_balances = {}
self.placeholder_mode = False
self.log_queue_listener: Optional[
logging.handlers.QueueListener] = None
self.reporting_module: Optional[ReportAggregator] = None
self.data_feed: Optional[DataFeedBase] = None
self.stop_loss_tracker: Optional[StopLossTracker] = None
self._app_warnings: Deque[ApplicationWarning] = deque()
self._trading_required: bool = True
def init_reporting_module(self):
if not self.reporting_module:
self.reporting_module = ReportAggregator(
self,
report_aggregation_interval=global_config_map[
"reporting_aggregation_interval"].value,
log_report_interval=global_config_map["reporting_log_interval"]
.value)
self.reporting_module.start()
def _handle_command(self, raw_command: str):
raw_command = raw_command.lower().strip()
try:
if self.placeholder_mode:
pass
else:
logging.getLogger("hummingbot.command_history").info(
raw_command)
args = self.parser.parse_args(args=raw_command.split())
kwargs = vars(args)
if not hasattr(args, "func"):
return
f = args.func
del kwargs['func']
f(**kwargs)
except InvalidCommandError as e:
self.app.log("Invalid command: %s" % (str(e), ))
except ArgumentParserError as e:
self.app.log(str(e))
except NotImplementedError:
self.app.log(
"Command not yet implemented. This feature is currently under development."
)
except Exception as e:
self.logger().error(e, exc_info=True)
async def _cancel_outstanding_orders(self) -> bool:
on_chain_cancel_on_exit = global_config_map.get(
"on_chain_cancel_on_exit").value
success = True
self.app.log("Cancelling outstanding orders...")
for market_name, market in self.markets.items():
# By default, the bot does not cancel orders on exit on Radar Relay or Bamboo Relay, since all open orders will
# expire in a short window
if not on_chain_cancel_on_exit and (market_name == "radar_relay" or
market_name == "bamboo_relay"):
continue
cancellation_results = await market.cancel_all(self.KILL_TIMEOUT)
uncancelled = list(
filter(lambda cr: cr.success is False, cancellation_results))
if len(uncancelled) > 0:
success = False
uncancelled_order_ids = list(
map(lambda cr: cr.order_id, uncancelled))
self.app.log(
"\nFailed to cancel the following orders on %s:\n%s" %
(market_name, '\n'.join(uncancelled_order_ids)))
if success:
self.app.log("All outstanding orders cancelled.")
return success
async def run(self):
await self.app.run()
@property
def config_complete(self):
config_map = load_required_configs()
for key in self._get_empty_configs():
cvar = config_map.get(key)
if cvar.value is None and cvar.required:
return False
return True
@staticmethod
def _get_empty_configs() -> List[str]:
config_map = load_required_configs()
return [
key for key, config in config_map.items() if config.value is None
]
def get_wallet_balance(self) -> pd.DataFrame:
return pd.DataFrame(data=list(self.wallet.get_all_balances().items()),
columns=["currency",
"balance"]).set_index("currency")
def get_exchange_balance(self, exchange_name: str) -> pd.DataFrame:
market: MarketBase = self.markets[exchange_name]
raw_balance: pd.DataFrame = pd.DataFrame(
data=list(market.get_all_balances().items()),
columns=["currency", "balance"]).set_index("currency")
return raw_balance[raw_balance.balance > 0]
def config(self, key: str = None):
self.app.clear_input()
if key is not None and key not in load_required_configs().keys():
self.app.log("Invalid config variable %s" % (key, ))
return
if key is not None:
keys = [key]
else:
keys = self._get_empty_configs()
asyncio.ensure_future(self._config_loop(keys))
def _expire_old_application_warnings(self):
now: float = time.time()
expiry_threshold: float = now - self.APP_WARNING_EXPIRY_DURATION
while len(self._app_warnings
) > 0 and self._app_warnings[0].timestamp < expiry_threshold:
self._app_warnings.popleft()
def add_application_warning(self, app_warning: ApplicationWarning):
self._expire_old_application_warnings()
self._app_warnings.append(app_warning)
async def _create_or_import_wallet(self):
choice = await self.app.prompt(
prompt=global_config_map.get("wallet").prompt)
if choice == "import":
private_key = await self.app.prompt(
prompt="Your wallet private key >>> ", is_password=True)
password = await self.app.prompt(
prompt="A password to protect your wallet key >>> ",
is_password=True)
try:
self.acct = import_and_save_wallet(password, private_key)
self.app.log("Wallet %s imported into hummingbot" %
(self.acct.address, ))
except Exception as e:
self.app.log(f"Failed to import wallet key: {e}")
result = await self._create_or_import_wallet()
return result
elif choice == "create":
password = await self.app.prompt(
prompt="A password to protect your wallet key >>> ",
is_password=True)
self.acct = create_and_save_wallet(password)
self.app.log("New wallet %s created" % (self.acct.address, ))
else:
self.app.log('Invalid choice. Please enter "create" or "import".')
result = await self._create_or_import_wallet()
return result
return self.acct.address
async def _unlock_wallet(self):
choice = await self.app.prompt(
prompt=
"Would you like to unlock your previously saved wallet? (y/n) >>> "
)
if choice.lower() in {"y", "yes"}:
wallets = list_wallets()
self.app.log("Existing wallets:")
self.list(obj="wallets")
if len(wallets) == 1:
public_key = wallets[0]
else:
public_key = await self.app.prompt(
prompt="Which wallet would you like to import ? >>> ")
password = await self.app.prompt(prompt="Enter your password >>> ",
is_password=True)
try:
acct = unlock_wallet(public_key=public_key, password=password)
self.app.log("Wallet %s unlocked" % (acct.address, ))
self.acct = acct
return self.acct.address
except Exception as e:
self.app.log("Cannot unlock wallet. Please try again.")
result = await self._unlock_wallet()
return result
else:
value = await self._create_or_import_wallet()
return value
async def _import_or_create_strategy_config(self):
current_strategy: str = in_memory_config_map.get("strategy").value
strategy_file_path_cv: ConfigVar = in_memory_config_map.get(
"strategy_file_path")
choice = await self.app.prompt(
prompt="Import previous configs or create a new config file? "
"(import/create) >>> ")
if choice == "import":
strategy_path = await self.app.prompt(strategy_file_path_cv.prompt)
strategy_path = strategy_path
self.app.log(
f"Loading previously saved config file from {strategy_path}..."
)
elif choice == "create":
strategy_path = await copy_strategy_template(current_strategy)
self.app.log(f"new config file at {strategy_path} created.")
else:
self.app.log('Invalid choice. Please enter "create" or "import".')
strategy_path = await self._import_or_create_strategy_config()
# Validate response
if not strategy_file_path_cv.validate(strategy_path):
self.app.log(
f"Invalid path {strategy_path}. Please enter \"create\" or \"import\"."
)
strategy_path = await self._import_or_create_strategy_config()
return strategy_path
async def _config_loop(self, keys: List[str] = []):
self.app.log("Please follow the prompt to complete configurations: ")
self.placeholder_mode = True
self.app.toggle_hide_input()
single_key = len(keys) == 1
async def single_prompt(cvar: ConfigVar):
if cvar.required or single_key:
if cvar.key == "strategy_file_path":
val = await self._import_or_create_strategy_config()
elif cvar.key == "wallet":
wallets = list_wallets()
if len(wallets) > 0:
val = await self._unlock_wallet()
else:
val = await self._create_or_import_wallet()
logging.getLogger("hummingbot.public_eth_address").info(
val)
else:
val = await self.app.prompt(prompt=cvar.prompt,
is_password=cvar.is_secure)
if not cvar.validate(val):
self.app.log("%s is not a valid %s value" %
(val, cvar.key))
val = await single_prompt(cvar)
else:
val = cvar.value
if val is None or (isinstance(val, string_types)
and len(val) == 0):
val = cvar.default
return val
async def inner_loop(_keys: List[str]):
for key in _keys:
current_strategy: str = in_memory_config_map.get(
"strategy").value
strategy_cm: Dict[str, ConfigVar] = get_strategy_config_map(
current_strategy)
if key in in_memory_config_map:
cv: ConfigVar = in_memory_config_map.get(key)
elif key in global_config_map:
cv: ConfigVar = global_config_map.get(key)
else:
cv: ConfigVar = strategy_cm.get(key)
value = await single_prompt(cv)
cv.value = parse_cvar_value(cv, value)
if single_key:
self.app.log(f"\nNew config saved:\n{key}: {str(value)}")
if not self.config_complete:
await inner_loop(self._get_empty_configs())
try:
await inner_loop(keys)
await write_config_to_yml()
if not single_key:
self.app.log(
"\nConfig process complete. Enter \"start\" to start market making."
)
self.app.set_text("start")
except asyncio.TimeoutError:
self.logger().error("Prompt timeout")
except Exception as err:
self.logger().error("Unknown error while writing config. %s" %
(err, ),
exc_info=True)
finally:
self.app.toggle_hide_input()
self.placeholder_mode = False
self.app.change_prompt(prompt=">>> ")
def _initialize_wallet(self, token_symbols: List[str]):
ethereum_rpc_url = global_config_map.get("ethereum_rpc_url").value
erc20_token_addresses = get_erc20_token_addresses(token_symbols)
if self.acct is not None:
self.wallet: Web3Wallet = Web3Wallet(
private_key=self.acct.privateKey,
backend_urls=[ethereum_rpc_url],
erc20_token_addresses=erc20_token_addresses,
chain=EthereumChain.MAIN_NET)
def _initialize_markets(self, market_names: List[Tuple[str, List[str]]]):
ethereum_rpc_url = global_config_map.get("ethereum_rpc_url").value
for market_name, symbols in market_names:
if market_name == "ddex" and self.wallet:
market = DDEXMarket(
wallet=self.wallet,
ethereum_rpc_url=ethereum_rpc_url,
order_book_tracker_data_source_type=
OrderBookTrackerDataSourceType.EXCHANGE_API,
symbols=symbols,
trading_required=self._trading_required)
elif market_name == "binance":
binance_api_key = global_config_map.get(
"binance_api_key").value
binance_api_secret = global_config_map.get(
"binance_api_secret").value
market = BinanceMarket(
ethereum_rpc_url=ethereum_rpc_url,
binance_api_key=binance_api_key,
binance_api_secret=binance_api_secret,
order_book_tracker_data_source_type=
OrderBookTrackerDataSourceType.EXCHANGE_API,
symbols=symbols,
trading_required=self._trading_required)
elif market_name == "radar_relay" and self.wallet:
market = RadarRelayMarket(
wallet=self.wallet,
ethereum_rpc_url=ethereum_rpc_url,
symbols=symbols,
trading_required=self._trading_required)
elif market_name == "bamboo_relay" and self.wallet:
market = BambooRelayMarket(wallet=self.wallet,
web3_url=ethereum_rpc_url,
symbols=symbols)
elif market_name == "coinbase_pro":
coinbase_pro_api_key = global_config_map.get(
"coinbase_pro_api_key").value
coinbase_pro_secret_key = global_config_map.get(
"coinbase_pro_secret_key").value
coinbase_pro_passphrase = global_config_map.get(
"coinbase_pro_passphrase").value
market = CoinbaseProMarket(
ethereum_rpc_url=ethereum_rpc_url,
coinbase_pro_api_key=coinbase_pro_api_key,
coinbase_pro_secret_key=coinbase_pro_secret_key,
coinbase_pro_passphrase=coinbase_pro_passphrase,
symbols=symbols,
trading_required=self._trading_required)
else:
raise ValueError(f"Market name {market_name} is invalid.")
self.markets[market_name]: MarketBase = market
def _format_application_warnings(self) -> str:
lines: List[str] = []
if len(self._app_warnings) < 1:
return ""
lines.append("\n Warnings:")
if len(self._app_warnings) < self.APP_WARNING_STATUS_LIMIT:
for app_warning in reversed(self._app_warnings):
lines.append(
f" * {pd.Timestamp(app_warning.timestamp, unit='s')} - "
f"({app_warning.logger_name}) - {app_warning.warning_msg}")
else:
module_based_warnings: OrderedDict = OrderedDict()
for app_warning in reversed(self._app_warnings):
logger_name: str = app_warning.logger_name
if logger_name not in module_based_warnings:
module_based_warnings[logger_name] = deque([app_warning])
else:
module_based_warnings[logger_name].append(app_warning)
warning_lines: List[str] = []
while len(warning_lines) < self.APP_WARNING_STATUS_LIMIT:
logger_keys: List[str] = list(module_based_warnings.keys())
for key in logger_keys:
warning_item: ApplicationWarning = module_based_warnings[
key].popleft()
if len(module_based_warnings[key]) < 1:
del module_based_warnings[key]
warning_lines.append(
f" * {pd.Timestamp(warning_item.timestamp, unit='s')} - "
f"({key}) - {warning_item.warning_msg}")
lines.extend(warning_lines[:self.APP_WARNING_STATUS_LIMIT])
return "\n".join(lines)
def status(self) -> bool:
# Preliminary checks.
self.app.log("\n Preliminary checks:")
if self.config_complete:
self.app.log(" - Config check: Config complete")
else:
self.app.log(
' x Config check: Pending config. Please enter "config" before starting the bot.'
)
return False
eth_node_valid = check_web3(
global_config_map.get("ethereum_rpc_url").value)
if eth_node_valid:
self.app.log(" - Node check: Ethereum node running and current")
else:
self.app.log(
' x Node check: Bad ethereum rpc url. Your node may be syncing. '
'Please re-configure by entering "config ethereum_rpc_url"')
return False
if self.wallet is not None:
if self.wallet.network_status is NetworkStatus.CONNECTED:
if self._trading_required:
has_minimum_eth = self.wallet.get_balance("ETH") > 0.01
if has_minimum_eth:
self.app.log(
" - ETH wallet check: Minimum ETH requirement satisfied"
)
else:
self.app.log(
" x ETH wallet check: Not enough ETH in wallet. "
"A small amount of Ether is required for sending transactions on "
"Decentralized Exchanges")
else:
self.app.log(
" x ETH wallet check: ETH wallet is not connected.")
loading_markets: List[MarketBase] = []
for market in self.markets.values():
if not market.ready:
loading_markets.append(market)
if len(loading_markets) > 0:
self.app.log(
f" x Market check: Waiting for markets " +
",".join([m.name.capitalize() for m in loading_markets]) +
f" to get ready for trading. \n"
f" Please keep the bot running and try to start again in a few minutes. \n"
)
for market in loading_markets:
market_status_df = pd.DataFrame(
data=market.status_dict.items(),
columns=["description", "status"])
self.app.log(
f" x {market.name.capitalize()} market status:\n" +
"\n".join([
" " + line for line in market_status_df.to_string(
index=False, ).split("\n")
]) + "\n")
return False
elif not all([
market.network_status is NetworkStatus.CONNECTED
for market in self.markets.values()
]):
offline_markets: List[str] = [
market_name for market_name, market in self.markets.items()
if market.network_status is not NetworkStatus.CONNECTED
]
for offline_market in offline_markets:
self.app.log(
f" x Market check: {offline_market} is currently offline."
)
# See if we can print out the strategy status.
self.app.log(" - Market check: All markets ready")
if self.strategy is None:
self.app.log(" x initializing strategy.")
else:
self.app.log(self.strategy.format_status() + "\n")
# Application warnings.
self._expire_old_application_warnings()
if len(self._app_warnings) > 0:
self.app.log(self._format_application_warnings())
return True
def help(self, command):
if command == 'all':
self.app.log(self.parser.format_help())
else:
subparsers_actions = [
action for action in self.parser._actions
if isinstance(action, argparse._SubParsersAction)
]
for subparsers_action in subparsers_actions:
subparser = subparsers_action.choices.get(command)
self.app.log(subparser.format_help())
def get_balance(self,
currency: str = "WETH",
wallet: bool = False,
exchange: str = None):
if wallet:
if self.wallet is None:
self.app.log(
'Wallet not available. Please configure your wallet (Enter "config wallet")'
)
elif currency is None:
self.app.log(f"{self.get_wallet_balance()}")
else:
self.app.log(self.wallet.get_balance(currency.upper()))
elif exchange:
if exchange in self.markets:
if currency is None:
self.app.log(f"{self.get_exchange_balance(exchange)}")
else:
self.app.log(self.markets[exchange].get_balance(
currency.upper()))
else:
self.app.log(
'The exchange you entered has not been initialized. '
'You may check your exchange balance after entering the "start" command.'
)
else:
self.help("get_balance")
def list(self, obj: str):
if obj == "wallets":
wallets = list_wallets()
if len(wallets) == 0:
self.app.log(
'Wallet not available. Please configure your wallet (Enter "config wallet")'
)
else:
self.app.log('\n'.join(wallets))
elif obj == "exchanges":
if len(EXCHANGES) == 0:
self.app.log("No exchanges available")
else:
self.app.log('\n'.join(EXCHANGES))
elif obj == "configs":
columns: List[str] = ["Key", "Current Value"]
global_cvs: List[ConfigVar] = list(
in_memory_config_map.values()) + list(
global_config_map.values())
global_data: List[List[str, Any]] = [[
cv.key,
len(str(cv.value)) * "*" if cv.is_secure else str(cv.value)
] for cv in global_cvs]
global_df: pd.DataFrame = pd.DataFrame(data=global_data,
columns=columns)
self.app.log("\nglobal configs:")
self.app.log(str(global_df))
strategy = in_memory_config_map.get("strategy").value
if strategy:
strategy_cvs: List[ConfigVar] = get_strategy_config_map(
strategy).values()
strategy_data: List[List[str, Any]] = [[
cv.key,
len(str(cv.value)) * "*" if cv.is_secure else str(cv.value)
] for cv in strategy_cvs]
strategy_df: pd.DataFrame = pd.DataFrame(data=strategy_data,
columns=columns)
self.app.log(f"\n{strategy} strategy configs:")
self.app.log(str(strategy_df))
self.app.log("\n")
elif obj == "trades":
lines = []
if self.strategy is None:
self.app.log("No strategy available, cannot show past trades.")
else:
if len(self.strategy.trades) > 0:
df = Trade.to_pandas(self.strategy.trades)
df_lines = str(df).split("\n")
lines.extend(["", " Past trades:"] +
[" " + line for line in df_lines])
else:
lines.extend([" No past trades."])
self.app.log("\n".join(lines))
else:
self.help("list")
def describe(self, wallet: bool = False, exchange: str = None):
if wallet:
if self.wallet is None:
self.app.log(
'None available. Your wallet may not have been initialized. Enter "start" to initialize '
'your wallet.')
else:
self.app.log(self.wallet.address)
self.app.log(f"{self.get_wallet_balance()}")
elif exchange is not None:
if exchange in self.markets:
self.app.log(f"{self.get_exchange_balance(exchange)}")
else:
raise InvalidCommandError(
"The exchange you specified has not been initialized")
else:
self.help("describe")
def start(self, log_level: Optional[str] = None):
is_valid = self.status()
if not is_valid:
return
if log_level is not None:
init_logging("hummingbot_logs.yml",
override_log_level=log_level.upper())
# If macOS, disable App Nap.
if platform.system() == "Darwin":
import appnope
appnope.nope()
# TODO add option to select data feed
self.data_feed: DataFeedBase = CoinCapDataFeed.get_instance()
ExchangeRateConversion.get_instance().start()
strategy_name = in_memory_config_map.get("strategy").value
self.init_reporting_module()
self.app.log(
f"\n Status check complete. Starting '{strategy_name}' strategy..."
)
asyncio.ensure_future(self.start_market_making(strategy_name))
async def _run_clock(self):
with self.clock as clock:
await clock.run()
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)
async def stop(self, skip_order_cancellation: bool = False):
self.app.log("\nWinding down...")
# Restore App Nap on macOS.
if platform.system() == "Darwin":
import appnope
appnope.nap()
if self._trading_required and not skip_order_cancellation:
# Remove the strategy from clock before cancelling orders, to
# prevent race condition where the strategy tries to create more
# orders during cancellation.
self.clock.remove_iterator(self.strategy)
success = await self._cancel_outstanding_orders()
if success:
# Only erase markets when cancellation has been successful
self.markets = {}
if self.reporting_module:
self.reporting_module.stop()
if self.strategy_task is not None and not self.strategy_task.cancelled(
):
self.strategy_task.cancel()
if self.strategy:
self.strategy.stop()
ExchangeRateConversion.get_instance().stop()
self.stop_loss_tracker.stop()
self.wallet = None
self.strategy_task = None
self.strategy = None
self.market_pair = None
self.clock = None
async def exit(self, force: bool = False):
if self.strategy_task is not None and not self.strategy_task.cancelled(
):
self.strategy_task.cancel()
if self.strategy:
self.strategy.stop()
if force is False and self._trading_required:
success = await self._cancel_outstanding_orders()
if not success:
self.app.log(
'Wind down process terminated: Failed to cancel all outstanding orders. '
'\nYou may need to manually cancel remaining orders by logging into your chosen exchanges'
'\n\nTo force exit the app, enter "exit -f"')
return
# Freeze screen 1 second for better UI
await asyncio.sleep(1)
ExchangeRateConversion.get_instance().stop()
self.app.exit()
async def export_private_key(self):
if self.acct is None:
self.app.log(
"Your wallet is currently locked. Please enter \"config\""
" to unlock your wallet first")
else:
self.placeholder_mode = True
self.app.toggle_hide_input()
ans = await self.app.prompt(
"Are you sure you want to print your private key in plain text? (y/n) >>> "
)
if ans.lower() in {"y", "yes"}:
self.app.log(
"\nWarning: Never disclose this key. Anyone with your private keys can steal any assets "
"held in your account.\n")
self.app.log("Your private key:")
self.app.log(self.acct.privateKey.hex())
self.app.change_prompt(prompt=">>> ")
self.app.toggle_hide_input()
self.placeholder_mode = False
def export_trades(self, path: str = ""):
if not path:
fname = f"trades_{pd.Timestamp.now().strftime('%Y-%m-%d-%H-%M-%S')}.csv"
path = join(dirname(__file__), f"../../logs/{fname}")
if self.strategy is None:
self.app.log("No strategy available, cannot export past trades.")
else:
if len(self.strategy.trades) > 0:
try:
df: pd.DataFrame = Trade.to_pandas(self.strategy.trades)
df.to_csv(path, header=True)
self.app.log(f"Successfully saved trades to {path}")
except Exception as e:
self.app.log(f"Error saving trades to {path}: {e}")
def history(self):
self.list("trades")
self.compare_balance_snapshots()
async def wait_till_ready(self, func: Callable, *args, **kwargs):
while True:
all_ready = all([market.ready for market in self.markets.values()])
if not all_ready:
await asyncio.sleep(0.5)
else:
return func(*args, **kwargs)
def balance_snapshot(self) -> Dict[str, Dict[str, float]]:
snapshot: Dict[str, Any] = {}
for market_name in self.markets:
balance_dict = self.markets[market_name].get_all_balances()
for c in self.assets:
if c not in snapshot:
snapshot[c] = {}
if c in balance_dict:
snapshot[c][market_name] = balance_dict[c]
else:
snapshot[c][market_name] = 0.0
return snapshot
def compare_balance_snapshots(self):
if len(self.starting_balances) == 0:
self.app.log(
" Balance snapshots are not available before bot starts")
return
rows = []
for market_name in self.markets:
for asset in self.assets:
starting_balance = self.starting_balances.get(asset).get(
market_name)
current_balance = self.balance_snapshot().get(asset).get(
market_name)
rows.append([
market_name, asset, starting_balance, current_balance,
current_balance - starting_balance
])
df = pd.DataFrame(
rows,
index=None,
columns=["Market", "Asset", "Starting", "Current", "Delta"])
lines = ["", " Performance:"
] + [" " + line for line in str(df).split("\n")]
self.app.log("\n".join(lines))