def get_deposits(deposit_type: str = "deposit") -> pd.DataFrame:
"""Get a list of deposits for your account. [Source: Coinbase]
Parameters
----------
deposit_type: str
internal_deposits (transfer between portfolios) or deposit
Returns
-------
pd.DataFrame
List of deposits
"""
auth = CoinbaseProAuth(cfg.API_COINBASE_KEY, cfg.API_COINBASE_SECRET,
cfg.API_COINBASE_PASS_PHRASE)
params = {"type": deposit_type}
if deposit_type not in ["internal_deposit", "deposit"]:
params["type"] = "deposit"
resp = make_coinbase_request("/transfers", auth=auth, params=params)
if not resp:
return pd.DataFrame()
if isinstance(resp, tuple):
resp = resp[0]
# pylint:disable=no-else-return
if deposit_type == "deposit":
return pd.json_normalize(resp)
else:
return pd.DataFrame(resp)[["type", "created_at", "amount", "currency"]]
def get_accounts(add_current_price: bool = True,
currency: str = "USD") -> pd.DataFrame:
"""Get list of all your trading accounts. [Source: Coinbase]
Single account information:
.. code-block:: json
{
"id": "71452118-efc7-4cc4-8780-a5e22d4baa53",
"currency": "BTC",
"balance": "0.0000000000000000",
"available": "0.0000000000000000",
"hold": "0.0000000000000000",
"profile_id": "75da88c5-05bf-4f54-bc85-5c775bd68254"
}
.
Parameters
-------
add_current_price: bool
Boolean to query coinbase for current price
currency: str
Currency to convert to, defaults to 'USD'
Returns
-------
pd.DataFrame
DataFrame with all your trading accounts.
"""
auth = CoinbaseProAuth(cfg.API_COINBASE_KEY, cfg.API_COINBASE_SECRET,
cfg.API_COINBASE_PASS_PHRASE)
resp = make_coinbase_request("/accounts", auth=auth)
if not resp:
return pd.DataFrame()
df = pd.DataFrame(resp)
df = df[df.balance.astype(float) > 0]
if add_current_price:
current_prices = []
for _, row in df.iterrows():
to_get = f"{row.currency}-{currency}"
current_prices.append(
float(
make_coinbase_request(f"/products/{to_get}/stats",
auth=auth)["last"]))
df["current_price"] = current_prices
df[f"BalanceValue({currency})"] = df.current_price * df.balance.astype(
float)
return df[[
"id",
"currency",
"balance",
"available",
"hold",
f"BalanceValue({currency})",
]]
return df[["id", "currency", "balance", "available", "hold"]]
def get_account_history(account: str) -> pd.DataFrame:
"""Get your account history. Account activity either increases or decreases your account balance. [Source: Coinbase]
Example api response:
.. code-block:: json
{
"id": "100",
"created_at": "2014-11-07T08:19:27.028459Z",
"amount": "0.001",
"balance": "239.669",
"type": "fee",
"details": {
"order_id": "d50ec984-77a8-460a-b958-66f114b0de9b",
"trade_id": "74",
"product_id": "BTC-USD"
}
}
.
Parameters
----------
account: str
id ("71452118-efc7-4cc4-8780-a5e22d4baa53") or currency (BTC)
Returns
-------
pd.DataFrame
DataFrame with account history.
"""
auth = CoinbaseProAuth(
cfg.API_COINBASE_KEY, cfg.API_COINBASE_SECRET, cfg.API_COINBASE_PASS_PHRASE
)
account = _check_account_validity(account)
if not account:
return pd.DataFrame()
resp = make_coinbase_request(f"/accounts/{account}/holds", auth=auth)
if not resp:
return pd.DataFrame()
df = pd.json_normalize(resp)
try:
df.columns = [
col.replace("details.", "") if "details" in col else col
for col in df.columns
]
except Exception as e:
console.print(e)
return df
def get_orders() -> pd.DataFrame:
"""List your current open orders. Only open or un-settled orders are returned. [Source: Coinbase]
Example response from API:
.. code-block:: json
{
"id": "d0c5340b-6d6c-49d9-b567-48c4bfca13d2",
"price": "0.10000000",
"size": "0.01000000",
"product_id": "BTC-USD",
"side": "buy",
"stp": "dc",
"type": "limit",
"time_in_force": "GTC",
"post_only": false,
"created_at": "2016-12-08T20:02:28.53864Z",
"fill_fees": "0.0000000000000000",
"filled_size": "0.00000000",
"executed_value": "0.0000000000000000",
"status": "open",
"settled": false
}
.
Returns
-------
pd.DataFrame
Open orders in your account
"""
auth = CoinbaseProAuth(
cfg.API_COINBASE_KEY, cfg.API_COINBASE_SECRET, cfg.API_COINBASE_PASS_PHRASE
)
resp = make_coinbase_request("/orders", auth=auth)
if not resp:
return pd.DataFrame(
columns=[
"product_id",
"side",
"price",
"size",
"type",
"created_at",
"status",
]
)
return pd.DataFrame(resp)[
["product_id", "side", "price", "size", "type", "created_at", "status"]
]