def depth(args):
"""Get market depth information."""
# Parameters to pass to the API
api_params = {'pair': args.pair, 'count': args.count}
res = query_api('public', 'Depth', api_params, args)
depth_dict = {'asks': [], 'bids': []}
depth_label = {'asks': "Ask", 'bids': "Bid"}
shortpair = asset_pair_short(args.pair)
# dtype is 'asks' or 'bids'
for dtype in depth_dict:
# extract the array of market depth from the api results
dlist = res[args.pair][dtype]
# build a column label depending on the asset pair and dtype
price_label = shortpair + " " + depth_label[dtype]
for delem in dlist:
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
dentry = OrderedDict()
dentry[price_label] = delem[0]
dentry["Volume"] = delem[1]
dentry["Age"] = humanize_timestamp(delem[2])
depth_dict[dtype].append(dentry)
if not dlist:
continue
# sort by price descending
depth_dict[dtype] = reversed(
sorted(depth_dict[dtype],
key=lambda dentry: Decimal(dentry[price_label])))
if args.csv:
output = []
for dtype in depth_dict.keys():
for o in depth_dict[dtype]:
it = OrderedDict()
it['dtype'] = dtype
for k, v in o.items():
if len(k.split(' ')) > 1:
# key has a space, this is the "price_label" column -> "XABCZDEF Ask"
it['pair'] = k.split(' ')[0] # keep only "XABCZDEF"
it['price'] = v
else:
# the other columns don't contain a space
it[k] = v
output += [it]
print(csv(output, headers="keys"))
else:
asks_table = tabulate(depth_dict['asks'], headers="keys")
bids_table = tabulate(depth_dict['bids'], headers="keys")
print("{}\n\n{}".format(asks_table, bids_table))
def asset_pairs(args):
"""Get available asset pairs."""
# Parameters to pass to the API
api_params = {}
res = query_api('public', 'AssetPairs', api_params, args)
# initialize a list to store the parsed assets pairs
assetlist = []
for assetpair in res:
if assetpair.endswith('.d'):
continue
ad = OrderedDict()
ad['Pair'] = assetpair
ad['Alt Name'] = res[assetpair]['altname']
ad['Base'] = res[assetpair]['base']
ad['Quote'] = res[assetpair]['quote']
assetlist.append(ad)
if args.csv:
print(csv(assetlist, headers="keys"))
else:
print(tabulate(assetlist, headers='keys'))
print('--- Total: {} pairs'.format(len(assetlist)))
def get_balance(args=None):
"""Get user balance."""
# Parameters to pass to the API
api_params = {}
res = query_api('private', 'Balance', api_params, args)
bal_list = []
for asset in res:
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
asset_dict = OrderedDict()
# Remove leading Z or X from asset pair if it is of length 4
asset_dict['asset'] = asset[1:] if len(
asset) == 4 and asset[0] in ['Z', 'X'] else asset
asset_dict['balance'] = res[asset]
bal_list.append(asset_dict)
if not bal_list:
return
# Sort alphabetically
bal_list = sorted(bal_list, key=lambda asset_dict: asset_dict['asset'])
if args.csv:
print(csv(bal_list, headers="keys"))
else:
print(tabulate(bal_list, headers="keys"))
def list_open_positions(args):
"""List open positions."""
# Parameters to pass to the API
api_params = {
'docalcs': 'true',
}
res = query_api('private', 'OpenPositions', api_params, args)
pos_list = []
for order in res.values():
pos = OrderedDict()
pos['ordertxid'] = order['ordertxid']
pos['opening time'] = datetime.fromtimestamp(order['time'])
pos['type'] = order['type']
pos['volume'] = order['vol']
pos['pair'] = order['pair']
pos['ordertype'] = order['ordertype']
pos['cost'] = order['cost']
pos['fee'] = order['fee']
pos['margin'] = order['margin']
pos['value'] = order['value']
pos['profit/loss'] = order['net']
pos['rollover time'] = datetime.fromtimestamp(int(order['rollovertm']))
pos['rollover terms'] = order['terms']
pos_list.append(pos)
print(tabulate(pos_list, headers="keys"))
def asset_pairs(args):
"""Get available asset pairs."""
# Parameters to pass to the API
api_params = {}
res = query_api('public', 'AssetPairs', api_params, args)
# initialize a list to store the parsed assets pairs
assetlist = []
for assetpair in res:
if assetpair.endswith('.d'):
continue
ad = OrderedDict()
ad['Pair'] = assetpair
ad['Alt Name'] = res[assetpair]['altname']
ad['Base'] = res[assetpair]['base']
ad['Quote'] = res[assetpair]['quote']
assetlist.append(ad)
if args.csv:
print(csv(assetlist, headers="keys"))
else:
print(tabulate(assetlist, headers='keys'))
print('--- Total: {} pairs'.format(len(assetlist)))
def list_open_positions(args):
"""List open positions."""
# Parameters to pass to the API
api_params = {
'docalcs': 'true',
}
res = query_api('private', 'OpenPositions', api_params, args)
pos_list = []
for order in res.values():
pos = OrderedDict()
pos['ordertxid'] = order['ordertxid']
pos['opening time'] = datetime.fromtimestamp(order['time'])
pos['type'] = order['type']
pos['volume'] = order['vol']
pos['pair'] = order['pair']
pos['ordertype'] = order['ordertype']
pos['cost'] = order['cost']
pos['fee'] = order['fee']
pos['margin'] = order['margin']
pos['value'] = order['value']
pos['profit/loss'] = order['net']
pos['rollover time'] = datetime.fromtimestamp(int(order['rollovertm']))
pos['rollover terms'] = order['terms']
pos_list.append(pos)
print(tabulate(pos_list, headers="keys"))
def get_deposit_methods(args=None):
"""Get deposit methods."""
# Parameters to pass to the API
api_params = {
'asset': args.asset,
}
res = query_api('private', 'DepositMethods', api_params, args)
m_list = []
for method in res:
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
method_dict = OrderedDict()
# Remove leading Z or X from asset pair if it is of length 4
method_dict['asset'] = args.asset[1:] if len(args.asset) == 4 and args.asset[0] in ['Z', 'X'] else args.asset
method_dict['method'] = method['method']
method_dict['fee'] = method['fee']
method_dict['limit'] = method['limit']
method_dict['gen-address'] = method['gen-address']
m_list.append(method_dict)
if not m_list:
return
# Sort alphabetically
m_list = sorted(m_list, key=lambda method_dict: '{}{}'.format(method_dict['asset'], method_dict['method']))
if args.csv:
print(csv(m_list, headers="keys"))
else:
print(tabulate(m_list, headers="keys"))
def ticker(args):
"""Get currency ticker information."""
# Parameters to pass to the API
api_params = {
'pair': args.pair,
}
res = query_api('public', 'Ticker', api_params, args)
# the list will contain one OrderedDict containing
# the parser ticker info per asset pair
ticker_list = []
for pair in res:
# extract the results for the current pair
pair_res = res[pair]
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
pticker = OrderedDict()
pticker['pair'] = asset_pair_short(pair)
pticker['last'] = pair_res['c'][0] # price only
pticker['high'] = pair_res['h'][1] # last 24h
pticker['low'] = pair_res['l'][1] # last 24h
pticker['vol'] = pair_res['v'][1] # last 24h
pticker['wavg'] = pair_res['p'][1] # last 24h
# calculate an estimate of the traded volume in quoted currency
# for the last 24h: Volume x Average price
quote_val = Decimal(pticker['vol']) * Decimal(pticker['wavg'])
unit_prefix = ''
if quote_val >= 10e6:
quote_val = quote_val / Decimal(1e6)
unit_prefix = 'M'
elif quote_val >= 10e3:
quote_val = quote_val / Decimal(1e3)
unit_prefix = 'k'
pticker['vol value'] = str(round(quote_val)) + ' ' + unit_prefix + pticker['pair'][-3:]
# get the price only
pticker['ask'] = pair_res['a'][0]
pticker['bid'] = pair_res['b'][0]
ticker_list.append(pticker)
if not ticker_list:
return
ticker_list = sorted(ticker_list, key=lambda pticker: pticker['pair'])
if args.csv:
print(csv(ticker_list, headers="keys"))
else:
print(tabulate(ticker_list, headers="keys"))
def get_ledgers(args):
"""Get ledgers info"""
# If id is specified, then query just that
if args.id:
api_params = {
'id': args.id,
}
lg = query_api('private', 'QueryLedgers', api_params, args)
else:
# Parameters to pass to the API
api_params = {
}
if args.asset: # We do not user DEFAULT_ASSET HERE as this param is optional
api_params.update({'asset': args.asset})
if args.type:
api_params.update({'type': args.type})
if args.start:
api_params.update({'start': args.start})
if args.end:
api_params.update({'end': args.end})
if args.ofs:
api_params.update({'ofs': args.ofs})
res = query_api('private', 'Ledgers', api_params, args)
# extract list of ledgers from API results
lg = res['ledger']
lg_list = []
for refid, item in lg.items():
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
asset_dict = OrderedDict()
asset_dict['id'] = refid
asset_dict['refid'] = item['refid']
asset_dict['time'] = format_timestamp(int(item['time']))
asset_dict['type'] = item['type']
# Remove leading Z or X from item pair if it is of length 4
asset_dict['asset'] = item['asset'][1:] \
if len(item['asset']) == 4 and item['asset'][0] in ['Z', 'X'] else item['asset']
asset_dict['aclass'] = item['aclass']
asset_dict['amount'] = float(item['amount'])
asset_dict['fee'] = float(item['fee'])
asset_dict['balance'] = float(item['balance'])
lg_list.append(asset_dict)
if not lg_list:
return
# sort by date
lg_list = sorted(lg_list, key=lambda odict: odict['time'])
if args.csv:
print(csv(lg_list, headers="keys"))
else:
print(tabulate(lg_list, headers="keys"))
def get_ledgers(args):
"""Get ledgers info"""
# If id is specified, then query just that
if args.id:
api_params = {
'id': args.id,
}
lg = query_api('private', 'QueryLedgers', api_params, args)
else:
# Parameters to pass to the API
api_params = {}
if args.asset: # We do not user DEFAULT_ASSET HERE as this param is optional
api_params.update({'asset': args.asset})
if args.type:
api_params.update({'type': args.type})
if args.start:
api_params.update({'start': args.start})
if args.end:
api_params.update({'end': args.end})
if args.ofs:
api_params.update({'ofs': args.ofs})
res = query_api('private', 'Ledgers', api_params, args)
# extract list of ledgers from API results
lg = res['ledger']
lg_list = []
for refid, item in lg.items():
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
asset_dict = OrderedDict()
asset_dict['id'] = refid
asset_dict['refid'] = item['refid']
asset_dict['time'] = format_timestamp(int(item['time']))
asset_dict['type'] = item['type']
# Remove leading Z or X from item pair if it is of length 4
asset_dict['asset'] = item['asset'][1:] \
if len(item['asset']) == 4 and item['asset'][0] in ['Z', 'X'] else item['asset']
asset_dict['aclass'] = item['aclass']
asset_dict['amount'] = float(item['amount'])
asset_dict['fee'] = float(item['fee'])
asset_dict['balance'] = float(item['balance'])
lg_list.append(asset_dict)
if not lg_list:
return
# sort by date
lg_list = sorted(lg_list, key=lambda odict: odict['time'])
if args.csv:
print(csv(lg_list, headers="keys"))
else:
print(tabulate(lg_list, headers="keys"))
def ohlc(args):
"""Get OHLC data for asset pairs for various minute intervals:
1 (default), 5, 15, 30, 60, 240, 1440, 10800, 21600."""
# Parameters to pass to the API
api_params = {
'pair': args.pair,
}
if args.since:
api_params['since'] = args.since
if args.interval:
api_params['interval'] = interval = args.interval
else:
interval = 1
res = query_api('public', 'OHLC', api_params, args)
results = res[args.pair]
last_id = res['last']
# initialize a list to store the parsed ohlc data
ohlclist = []
for period in results:
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
ohlcdict = OrderedDict()
ohlcdict["Time"] = format_timestamp(period[0])
ohlcdict["Open"] = period[1]
ohlcdict["High"] = period[2]
ohlcdict["Low"] = period[3]
ohlcdict["Close"] = period[4]
ohlcdict["VWAP"] = period[5]
ohlcdict["Volume"] = period[6]
ohlcdict["Count"] = period[7]
ohlclist.append(ohlcdict)
if not ohlclist:
return
# Reverse trade list to have the most recent interval at the top
ohlclist = ohlclist[::-1]
if args.csv:
print(csv(ohlclist[:args.count], headers="keys"))
else:
print('Asset pair: ' + asset_pair_short(args.pair))
print('Interval: ' + str(interval) + 'm\n')
print(tabulate(ohlclist[:args.count], headers="keys") + '\n')
print('Last ID = {}'.format(last_id))
def ohlc(args):
"""Get OHLC data for asset pairs for various minute intervals:
1 (default), 5, 15, 30, 60, 240, 1440, 10800, 21600."""
# Parameters to pass to the API
api_params = {
'pair': args.pair,
}
if args.since:
api_params['since'] = args.since
if args.interval:
api_params['interval'] = interval = args.interval
else:
interval = 1
res = query_api('public', 'OHLC', api_params, args)
results = res[args.pair]
last_id = res['last']
# initialize a list to store the parsed ohlc data
ohlclist = []
for period in results:
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
ohlcdict = OrderedDict()
ohlcdict["Time"] = format_timestamp(period[0])
ohlcdict["Open"] = period[1]
ohlcdict["High"] = period[2]
ohlcdict["Low"] = period[3]
ohlcdict["Close"] = period[4]
ohlcdict["VWAP"] = period[5]
ohlcdict["Volume"] = period[6]
ohlcdict["Count"] = period[7]
ohlclist.append(ohlcdict)
if not ohlclist:
return
# Reverse trade list to have the most recent interval at the top
ohlclist = ohlclist[::-1]
if args.csv:
print(csv(ohlclist[:args.count], headers="keys"))
else:
print('Asset pair: ' + asset_pair_short(args.pair))
print('Interval: ' + str(interval) + 'm\n')
print(tabulate(ohlclist[:args.count], headers="keys") + '\n')
print('Last ID = {}'.format(last_id))
def get_deposit_addresses(args=None):
"""Get deposit addresses."""
# Parameters to pass to the API
api_params = {
'asset': args.asset,
'method': args.method,
}
if args.new:
api_params['new'] = args.new
res = query_api('private', 'DepositAddresses', api_params, args)
if not res:
return
if args.one:
# Get preferably not used addresses
addresses = [a for a in res if a.get('new', False)] or res
print(addresses[0]['address'])
return
addresses_list = []
for address in res:
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
asset_dict = OrderedDict()
# Remove leading Z or X from asset pair if it is of length 4
asset_dict['asset'] = args.asset[1:] if len(
args.asset) == 4 and args.asset[0] in ['Z', 'X'] else args.asset
asset_dict['address'] = address['address']
asset_dict['new'] = address.get('new', False)
asset_dict['expiretm'] = \
int(address.get('expiretm', 0)) > 0 and format_timestamp(int(address.get('expiretm', 0))) or ''
addresses_list.append(asset_dict)
if not addresses_list:
return
# sort by expiretm
addresses_list = sorted(addresses_list,
key=lambda odict: odict['expiretm'])
if args.csv:
print(csv(addresses_list, headers="keys"))
else:
print(tabulate(addresses_list, headers="keys"))
def get_deposit_addresses(args=None):
"""Get deposit addresses."""
# Parameters to pass to the API
api_params = {
'asset': args.asset,
'method': args.method,
}
if args.new:
api_params['new'] = args.new
res = query_api('private', 'DepositAddresses', api_params, args)
if not res:
return
if args.one:
# Get preferably not used addresses
addresses = [a for a in res if a.get('new', False)] or res
print(addresses[0]['address'])
return
addresses_list = []
for address in res:
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
asset_dict = OrderedDict()
# Remove leading Z or X from asset pair if it is of length 4
asset_dict['asset'] = args.asset[1:] if len(args.asset) == 4 and args.asset[0] in ['Z', 'X'] else args.asset
asset_dict['address'] = address['address']
asset_dict['new'] = address.get('new', False)
asset_dict['expiretm'] = \
int(address.get('expiretm', 0)) > 0 and format_timestamp(int(address.get('expiretm', 0))) or ''
addresses_list.append(asset_dict)
if not addresses_list:
return
# sort by expiretm
addresses_list = sorted(addresses_list, key=lambda odict: odict['expiretm'])
if args.csv:
print(csv(addresses_list, headers="keys"))
else:
print(tabulate(addresses_list, headers="keys"))
def list_open_orders(args):
"""List open orders."""
# Parameters to pass to the API
api_params = {
# TODO
}
if args.txid:
api_params.update({'txid': args.txid})
res_ol = query_api('private', 'QueryOrders', api_params, args)
else:
res = query_api('private', 'OpenOrders', api_params, args)
# extract list of orders from API results
res_ol = res['open']
# the parsing is done in an helper function
ol = parse_order_res(res_ol, ['open'])
# filter and sort orders by price in each category
for otype in ol:
# filter orders based on currency pair
if 'pair' in args and args.pair:
ol[otype] = [
odict for odict in ol[otype]
if (odict['pair'] in [args.pair,
asset_pair_short(args.pair)]
or args.pair == 'all')
]
# sort orders by price
ol[otype] = sorted(ol[otype],
key=lambda odict: Decimal(odict['price']))
# final list is concatenation of buy orders followed by sell orders
ol_all = ol['buy'] + ol['sell']
if not ol_all:
return
if args.csv:
print(csv(ol_all, headers="keys"))
else:
print(tabulate(ol_all, headers="keys"))
def get_trade_balance(args=None):
"""Get user trade balance."""
# Parameters to pass to the API
api_params = {}
res = query_api('private', 'TradeBalance', api_params, args)
tbal_list = [
['equivalent balance', res.get('eb', 'n/a')],
['trade balance', res.get('tb', 'n/a')],
['margin amount of open positions', res.get('m', 'n/a')],
['cost basis of open positions', res.get('c', 'n/a')],
['current floating valuation of open positions', res.get('v', 'n/a')],
['equity', res.get('e', 'n/a')],
['free margin', res.get('mf', 'n/a')],
['margin level', res.get('ml', 'n/a')],
['unrealized net profit/loss of open positions', res.get('n', 'n/a')],
]
print(tabulate(tbal_list))
def get_trade_balance(args=None):
"""Get user trade balance."""
# Parameters to pass to the API
api_params = {}
res = query_api('private', 'TradeBalance', api_params, args)
tbal_list = [
['equivalent balance', res['eb']],
['trade balance', res['tb']],
['margin amount of open positions', res['m']],
['cost basis of open positions', res['c']],
['current floating valuation of open positions', res['v']],
['equity', res['e']],
['free margin', res['mf']],
['margin level', res['ml']],
['unrealized net profit/loss of open positions', res['n']],
]
print(tabulate(tbal_list))
def list_open_orders(args):
"""List open orders."""
# Parameters to pass to the API
api_params = {
# TODO
}
if args.txid:
api_params.update({'txid': args.txid})
res_ol = query_api('private', 'QueryOrders', api_params, args)
else:
res = query_api('private', 'OpenOrders', api_params, args)
# extract list of orders from API results
res_ol = res['open']
# the parsing is done in an helper function
ol = parse_order_res(res_ol, ['open'])
# filter and sort orders by price in each category
for otype in ol:
# filter orders based on currency pair
if 'pair' in args and args.pair:
ol[otype] = [odict for odict in ol[otype]
if (odict['pair'] in [args.pair, asset_pair_short(args.pair)] or args.pair == 'all')]
# sort orders by price
ol[otype] = sorted(ol[otype], key=lambda odict: Decimal(odict['price']))
# final list is concatenation of buy orders followed by sell orders
ol_all = ol['buy'] + ol['sell']
if not ol_all:
return
if args.csv:
print(csv(ol_all, headers="keys"))
else:
print(tabulate(ol_all, headers="keys"))
def list_closed_orders(args):
"""List closed orders."""
# Parameters to pass to the API
api_params = {
# TODO
}
if args.txid:
api_params.update({'txid': args.txid})
res_ol = query_api('private', 'QueryOrders', api_params, args)
else:
res = query_api('private', 'ClosedOrders', api_params, args)
# extract list of orders from API results
res_ol = res['closed']
# the parsing is done in an helper function
ol = parse_order_res(res_ol, ['closed', 'canceled'])
# merge order types in one list
ol = ol['buy'] + ol['sell']
# filter out orders with zero volume executed
ol = [odict for odict in ol if Decimal(odict['vol_exec']) > 0]
if 'pair' in args and args.pair:
ol = [odict for odict in ol if odict['pair'] in [args.pair, asset_pair_short(args.pair)]]
if not ol:
return
# sort by date
ol = sorted(ol, key=lambda odict: odict['closing_date'])
if args.csv:
print(csv(ol, headers="keys"))
else:
print(tabulate(ol, headers="keys"))
def get_deposit_methods(args=None):
"""Get deposit methods."""
# Parameters to pass to the API
api_params = {
'asset': args.asset,
}
res = query_api('private', 'DepositMethods', api_params, args)
m_list = []
for method in res:
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
method_dict = OrderedDict()
# Remove leading Z or X from asset pair if it is of length 4
method_dict['asset'] = args.asset[1:] if len(
args.asset) == 4 and args.asset[0] in ['Z', 'X'] else args.asset
method_dict['method'] = method['method']
method_dict['fee'] = method['fee']
method_dict['limit'] = method['limit']
method_dict['gen-address'] = method['gen-address']
m_list.append(method_dict)
if not m_list:
return
# Sort alphabetically
m_list = sorted(m_list,
key=lambda method_dict: '{}{}'.format(
method_dict['asset'], method_dict['method']))
if args.csv:
print(csv(m_list, headers="keys"))
else:
print(tabulate(m_list, headers="keys"))
def last_trades(args):
"""Get last trades."""
_, quote_currency = base_quote_short_from_asset_pair(args.pair)
# Parameters to pass to the API
api_params = {
'pair': args.pair,
}
if args.since:
api_params['since'] = args.since
res = query_api('public', 'Trades', api_params, args)
results = res[args.pair]
last_id = res['last']
# initialize a list to store the parsed trades
tlist = []
# mappings
ttype_label = {'b': 'buy', 's': 'sell'}
otype_label = {'l': 'limit', 'm': 'market'}
for trade in results:
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
tdict = OrderedDict()
tdict["Trade type"] = ttype_label.get(trade[3], 'unknown')
tdict["Order type"] = otype_label.get(trade[4], 'unknown')
tdict["Price"] = trade[0]
tdict["Volume"] = trade[1]
tdict["Age"] = humanize_timestamp(trade[2])
# tdict["Misc"] = trade[5]
tlist.append(tdict)
if not tlist:
return
# Reverse trade list to have the most recent trades at the top
tlist = tlist[::-1]
if args.csv:
print(csv(tlist[:args.count], headers="keys"))
else:
print(tabulate(tlist[:args.count], headers="keys") + '\n')
# separate the trades based on their type
sell_trades = [x for x in tlist if x["Trade type"] == "sell"]
buy_trades = [x for x in tlist if x["Trade type"] == "buy"]
last_sell = sell_trades[0]
last_buy = buy_trades[0]
lt = [
["", "Price (" + quote_currency + ")", "Volume", "Age"],
[
"Last Sell", last_sell["Price"], last_sell["Volume"],
last_sell["Age"]
],
[
"Last Buy", last_buy["Price"], last_buy["Volume"],
last_buy["Age"]
],
]
print(tabulate(lt, headers="firstrow") + '\n')
print('Last ID = {}'.format(last_id))
def trades(args):
"""Get trades history or Query trades info"""
# Parameters to pass to the API
api_params = {
# TODO: trades param
}
if args.type:
api_params.update({'type': args.type})
if args.start:
api_params.update({'start': args.start})
if args.end:
api_params.update({'end': args.end})
if args.ofs:
api_params.update({'ofs': args.ofs})
if args.id:
api_params.update({
'txid': args.id,
})
res_trades = query_api('private', 'QueryTrades', api_params, args)
else:
res = query_api('private', 'TradesHistory', api_params, args)
# extract list of orders from API results
res_trades = res['trades']
# put all in a list
tl = []
for trade_id, trade_data in res_trades.items():
trade_data.update({'tradeid': trade_id})
tl += [trade_data]
# filter orders based on currency pair
if 'pair' in args and args.pair:
tl = [td for td in tl if (td['pair'] in [args.pair, asset_pair_short(args.pair)] or args.pair == 'all')]
# Lets get some order and filter some unnecessary fields
tl2 = []
for trade_data in tl:
trade_dict = OrderedDict()
trade_dict['txid'] = trade_data['tradeid']
trade_dict['time'] = format_timestamp(int(trade_data['time']))
trade_dict['pair'] = trade_data['pair'][1:] if len(trade_data['pair']) == 4 and \
trade_data['pair'][0] in ['Z', 'X'] else trade_data['pair']
trade_dict['type'] = trade_data['type']
trade_dict['ordertype'] = trade_data['ordertype']
trade_dict['vol'] = trade_data['vol']
trade_dict['price'] = trade_data['price']
trade_dict['cost'] = trade_data['cost']
trade_dict['fee'] = trade_data['fee']
trade_dict['margin'] = trade_data['margin']
trade_dict['ordertxid'] = trade_data['ordertxid']
trade_dict['misc'] = trade_data['misc']
tl2.append(trade_dict)
# sort orders by time
tl2 = sorted(tl2, key=lambda x: x['time'])
if not tl2:
return
if args.csv:
print(csv(tl2, headers="keys"))
else:
print(tabulate(tl2, headers="keys"))
def last_trades(args):
"""Get last trades."""
_, quote_currency = base_quote_short_from_asset_pair(args.pair)
# Parameters to pass to the API
api_params = {
'pair': args.pair,
}
if args.since:
api_params['since'] = args.since
res = query_api('public', 'Trades', api_params, args)
results = res[args.pair]
last_id = res['last']
# initialize a list to store the parsed trades
tlist = []
# mappings
ttype_label = {'b': 'buy', 's': 'sell'}
otype_label = {'l': 'limit', 'm': 'market'}
for trade in results:
# Initialize an OrderedDict to garantee the column order
# for later use with the tabulate function
tdict = OrderedDict()
tdict["Trade type"] = ttype_label.get(trade[3], 'unknown')
tdict["Order type"] = otype_label.get(trade[4], 'unknown')
tdict["Price"] = trade[0]
tdict["Volume"] = trade[1]
tdict["Age"] = humanize_timestamp(trade[2])
# tdict["Misc"] = trade[5]
tlist.append(tdict)
if not tlist:
return
# Reverse trade list to have the most recent trades at the top
tlist = tlist[::-1]
if args.csv:
print(csv(tlist[:args.count], headers="keys"))
else:
print(tabulate(tlist[:args.count], headers="keys") + '\n')
# separate the trades based on their type
sell_trades = [x for x in tlist if x["Trade type"] == "sell"]
buy_trades = [x for x in tlist if x["Trade type"] == "buy"]
last_sell = sell_trades[0]
last_buy = buy_trades[0]
lt = [
["", "Price (" + quote_currency + ")", "Volume", "Age"],
["Last Sell", last_sell["Price"], last_sell["Volume"], last_sell["Age"]],
["Last Buy", last_buy["Price"], last_buy["Volume"], last_buy["Age"]],
]
print(tabulate(lt, headers="firstrow") + '\n')
print('Last ID = {}'.format(last_id))