← Trading Activity

MOG.BStock

Peer group: Stock · mcap decile 6

Algorithmic Intensity

Very High

100 / 100

How algorithmically quoted this security is (cancel-to-trade + order-to-trade), ranked against peers of similar size. Higher = more automated market-making/HFT churn.

Institutional Footprint

Very Low

1 / 100

How much of this security's activity happens via hidden (non-displayed) orders, ranked against similar-size peers. Higher = more orders worked quietly.

Retail Fragmentation

Very High

86 / 100

How odd-lot-heavy this security's trading is, ranked against similar-size peers. Often reflects high share price and retail participation.

Order-Flow Metrics · 2026 Q2 · 62 trading days

Cancel-to-Trade Ratio

1142.5

48.3% since start

How many orders are cancelled for each executed trade. Higher values indicate heavier algorithmic quoting activity.

Hidden-Order Rate

24.0%

844.5% since start

Share of trades executed against hidden (non-displayed) orders. Higher values suggest more institutional or dark-pool-style activity.

Odd-Lot Rate

89.6%

40.9% since start

Share of trades in odd lots (fewer than 100 shares). Often elevated for high-priced or heavily retail-fragmented names.

Order-to-Trade Volume

6468.5

75.6% since start

Ratio of submitted order volume to executed trade volume — a measure of quoting intensity.

Hidden Volume Share

16.9%

1054.8% since start

Share of trade volume executed against hidden orders.

History · 22 quarters

QuarterCancel/TradeHidden RateOdd-Lot RateOrder/Trade Vol
2021 Q12210.12.5%63.6%3683.9
2021 Q21682.511.2%81.6%5042.4
2021 Q33073.315.8%59.7%5907.4
2021 Q43147.723.9%68.7%8192.0
2022 Q12089.64.8%81.5%3630.3
2022 Q24587.86.3%82.1%12035.7
2022 Q33308.320.4%88.0%9686.2
2022 Q42671.626.3%70.4%3827.5
2023 Q11275.510.6%85.1%4280.7
2023 Q2917.24.2%93.9%4309.2
2023 Q31403.213.5%83.4%4236.7
2023 Q44410.324.7%90.7%15054.8
2024 Q14440.524.7%90.6%13500.9
2024 Q25749.228.8%89.2%18900.1
2024 Q34090.927.2%94.4%19138.1
2024 Q41992.345.3%92.3%8328.0
2025 Q11100.743.7%91.4%4698.6
2025 Q24812.929.5%96.0%25925.4
2025 Q31665.335.6%88.9%4874.5
2025 Q41317.427.4%94.5%6478.6
2026 Q11076.022.3%96.2%8527.3
2026 Q21142.524.0%89.6%6468.5

Forecast & Accuracy

Next-quarter estimate for each behavior metric, chosen by whichever simple model has been most accurate for this security in a walk-forward backtest. We show the historical error (MAPE) and how often the trend direction was right, so you can judge how much to trust each number. These forecast trading behavior, not price.

Cancel-to-Trade Ratio

1142.5

next quarter · from 1142.5

Trend: rising

Backtest accuracy: ±52.2% avg error · direction right 53% of quarters

model: naive · 19 test quarters

Hidden-Order Rate

24.0%

next quarter · from 24.0%

Trend: rising

Backtest accuracy: ±60.6% avg error · direction right 58% of quarters

model: naive · 19 test quarters

Odd-Lot Rate

93.4%

next quarter · from 89.6%

Trend: rising

Backtest accuracy: ±5.8% avg error · direction right 53% of quarters

model: mean3 · 19 test quarters

Unusual Activity Days

Days when MOG.B's order-cancellation activity spiked well above its typical range for that quarter (more than two standard deviations). These often line up with earnings, news, or market-wide events.

2026-06-23cancel/trade 15863 vs avg 3197.28+2.96σ
2026-04-15cancel/trade 15102.5 vs avg 3197.28+2.78σ
2026-04-08cancel/trade 11919 vs avg 3197.28+2.04σ
2026-04-01cancel/trade 19465 vs avg 3197.28+3.81σ
2026-03-25cancel/trade 17240 vs avg 2472.41+4.66σ
2026-03-19cancel/trade 14099.5 vs avg 2472.41+3.67σ
2025-11-18cancel/trade 5653 vs avg 1930.39+2.96σ
2025-11-13cancel/trade 5367.5 vs avg 1930.39+2.73σ
2025-08-14cancel/trade 18375 vs avg 4064.74+2.72σ
2025-07-31cancel/trade 15466 vs avg 4064.74+2.17σ
2025-07-25cancel/trade 27355 vs avg 4064.74+4.43σ
2025-06-13cancel/trade 20071 vs avg 6487.76+3.01σ

Derived from the SEC's public MIDAS market-structure data. Describes historical order-flow behavior for informational and educational purposes only. Not investment advice and not a forecast of price or return.