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)
if key == "wallet":
wallets = list_wallets()
if len(wallets) > 0:
value = await self._unlock_wallet()
else:
value = await self._create_or_import_wallet()
logging.getLogger("hummingbot.public_eth_address").info(
value)
elif key == "strategy_file_path":
value = await self._import_or_create_strategy_config()
else:
value = await single_prompt(cv)
cv.value = parse_cvar_value(cv, value)
if not self.config_complete:
await inner_loop(self._get_empty_configs())
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 not self.config_complete:
await inner_loop(self._get_empty_configs())
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,
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.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, 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.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)
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)
self.clock.add_iterator(self.strategy)
self.strategy_task: asyncio.Task = asyncio.ensure_future(
self.clock.run())
self.app.log(
f"\n'{strategy_name}' strategy started.\n"
f"You can use the `status` command to query the progress.")
except Exception as e:
self.logger().error(str(e), exc_info=True)
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")
