TQTradingQuery

Day of week · MYM

How does MYM's average volume differ across days of the week

89,531.85

Mon

n=1302026-03-05 to 2026-09-07

Mon

89,531.85

Tue

103,814.88

Wed

99,568.65

Thu

111,114.19

Fri

93,459.04

Sat

—

Sun

—

Methodology

Analysis code was generated by an AI model up to 25 times, run in a sandbox against real MYM 1-minute bars from 2026-03-05 to 2026-09-07, and reviewed automatically. Attempts that computed the same set of measures were grouped, and the figures shown are the median of the largest group. Agreement between attempts lowers the chance of a one-off coding slip; it does not prove the code matches the question, so the exact code is shown below.

Show the code

bars_et = to_et(bars)
rth = rth_session(bars_et)
dates = trading_date(rth)

daily_vol = rth.groupby(dates)['volume'].sum()
dow_map = pd.to_datetime(daily_vol.index).dayofweek
dow_names = {0:'Mon',1:'Tue',2:'Wed',3:'Thu',4:'Fri',5:'Sat',6:'Sun'}

avg_by_dow = daily_vol.groupby(dow_map).mean()

result = {}
for d, name in dow_names.items():
    if d in avg_by_dow.index:
        result[name] = float(avg_by_dow.loc[d])
    else:
        result[name] = None

result['sample_size'] = int(len(daily_vol))
  • Generated by an AI model up to 25 times, run in a sandbox, and reviewed automatically; the figures above are the median of the largest group of attempts that computed the same measures. Agreement between attempts lowers the chance of a one-off coding slip -- it does not prove the code matches the question, so check the definition and code. A one-off calculation, not a permanent fixture.

This is historical statistical information only. It is not investment advice, and past performance does not indicate future results. Trading involves risk of loss.