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Issue #3882 Fixed #3885

Merged
merged 11 commits into from
Jan 12, 2023
27 changes: 16 additions & 11 deletions openbb_terminal/stocks/stocks_helper.py
Original file line number Diff line number Diff line change
Expand Up @@ -299,18 +299,16 @@ def load(

start_date = check_datetime(start_date)
end_date = check_datetime(end_date, start=False)
int_string = "Daily"
if weekly:
int_string = "Weekly"
if monthly:
int_string = "Monthly"

# Daily
if int(interval) == 1440:

int_string = "Daily"
if weekly:
int_string = "Weekly"
if monthly:
int_string = "Monthly"

if source == "AlphaVantage":
df_stock_candidate = load_stock_av(symbol, start_date, end_date)
df_stock_candidate = load_stock_av(symbol, int_string, start_date, end_date)

elif source == "YahooFinance":
df_stock_candidate = load_stock_yf(
Expand Down Expand Up @@ -338,11 +336,18 @@ def load(
df_stock_candidate.index.name = "date"
s_start = df_stock_candidate.index[0]
s_interval = f"{interval}min"
int_string = "Daily" if interval == 1440 else "Intraday"

else:

if source == "YahooFinance":
if source == "AlphaVantage":
s_start = start_date
int_string = "Minute"
s_interval = f"{interval}min"
df_stock_candidate = load_stock_av(
symbol, int_string, start_date, end_date, s_interval
)

elif source == "YahooFinance":
s_int = str(interval) + "m"
s_interval = s_int + "in"
d_granularity = {"1m": 6, "5m": 59, "15m": 59, "30m": 59, "60m": 729}
Expand Down Expand Up @@ -429,7 +434,7 @@ def load(
s_interval = f"{interval}min"
int_string = "Intraday"

s_intraday = (f"Intraday {s_interval}", int_string)[interval == 1440]
s_intraday = (f"Intraday {interval}min", int_string)[interval == 1440]

if verbose:
console.print(
Expand Down
25 changes: 20 additions & 5 deletions openbb_terminal/stocks/stocks_model.py
Original file line number Diff line number Diff line change
Expand Up @@ -18,17 +18,32 @@


def load_stock_av(
symbol: str, start_date: datetime, end_date: datetime
symbol: str,
interval: str,
start_date: datetime,
end_date: datetime,
interval_min: str = "1min",
) -> pd.DataFrame:
try:
ts = TimeSeries(key=cfg.API_KEY_ALPHAVANTAGE, output_format="pandas")
df_stock_candidate: pd.DataFrame = ts.get_daily_adjusted(
symbol=symbol, outputsize="full"
)[0]
if interval == "Minute":
df_stock_candidate: pd.DataFrame = ts.get_intraday(
symbol=symbol, interval=interval_min
)[0]
elif interval == "Daily":
df_stock_candidate = ts.get_daily_adjusted(
symbol=symbol, outputsize="full"
)[0]
elif interval == "Weekly":
df_stock_candidate = ts.get_weekly_adjusted(symbol=symbol)[0]
elif interval == "Monthly":
df_stock_candidate = ts.get_monthly_adjusted(symbol=symbol)[0]
else:
console.print("Invalid interval specified")
return pd.DataFrame()
except Exception as e:
console.print(e)
return pd.DataFrame()

df_stock_candidate.columns = [
val.split(". ")[1].capitalize() for val in df_stock_candidate.columns
]
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,215 @@
interactions:
- request:
body: null
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- python-requests/2.28.1
method: GET
uri: https://www.alphavantage.co/query?apikey=MOCK_API_KEY&datatype=json&function=TIME_SERIES_MONTHLY_ADJUSTED&symbol=AAPL
response:
body:
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