Strategy #0000000133 · Factors and multi-factor investing
Retail order-flow signals
Enter net retail flow as a share of ADV, signal threshold, follow/fade return assumptions and costs.
Retail order flow may contain information, but can also reflect attention, crowded trades and short-term price pressure; returns after extreme buying may differ from ordinary net-buying signals. The tool triggers on net flow as a share of average daily volume (ADV), then lets the user choose follow or fade and enter a return scenario.
No broker-customer data, trade classification or real-time orders are loaded; flow sources and investor labels can be noisy.
Three ways in
Understand the story. Then inspect the risk.
Start with a familiar situation, check the payoff, then test how the numbers change.
The idea · in two minutes
When net retail flow crosses an activity threshold, what are the follow or fade return scenarios?
Retail order flow may contain information, but can also reflect attention, crowded trades and short-term price pressure; returns after extreme buying may differ from ordinary net-buying signals. The tool triggers on net flow as a share of average daily volume (ADV), then lets the user choose follow or fade and enter a return scenario.
Enter net retail flow as a share of ADV, signal threshold, follow/fade return assumptions and costs.
No broker-customer data, trade classification or real-time orders are loaded; flow sources and investor labels can be noisy.
- Input assumptionsEnter net retail flow as a share of ADV, signal threshold, follow/fade return assumptions and costs.
- Model outputNo broker-customer data, trade classification or real-time orders are loaded; flow sources and investor labels can be noisy.
Illustrative research examples only. They are not live signals or a recommendation.
The mechanics · payoff and exposure
Signal=sign(NetFlow)\cdot 1_{|NetFlow|\geq Threshold},\quad R=Direction\cdot R_{assumed}-C
Flow is entered as a percentage of ADV; directional returns are manual assumptions, not estimates or realised performance.
Greeks: the directional intuition
- 模型
- Measures sensitivity to implied volatility.
- 合約
- Measures sensitivity to implied volatility.
- 執行
- Measures sensitivity to implied volatility.
Signal=sign(NetFlow)\cdot 1_{|NetFlow|\geq Threshold},\quad R=Direction\cdot R_{assumed}-C
Practical context · published observations
Retail order-flow signals: read the record with its caveats.
The chart uses the published figures or explicitly labelled study inputs below. A historical index or model replay is not the same as an investor’s realised account return.
No broker-customer data, trade classification or real-time orders are loaded; flow sources and investor labels can be noisy. Source ↗ · Methodology ↗
Change assumptions and inspect the scenario
Inputs illustrate the strategy mechanics; they are not live quotes, forecasts or investment advice.
Variants · same family, different risk levers
Models, contract terms and implementation can change results.
Compare relevant mechanisms and execution assumptions.
| Related strategy | Relationship | What changes | New cost or risk |
|---|---|---|---|
| Base scenario | Manual inputs | Retail order flow may contain information, but can also reflect attention, crowded trades and short-term price pressure; returns after extreme buying may differ from ordinary net-buying signals. The tool triggers on net flow as a share of average daily volume (ADV), then lets the user choose follow or fade and enter a return scenario. | No broker-customer data, trade classification or real-time orders are loaded; flow sources and investor labels can be noisy. |
| Conservative version | Higher cost/loss | Stress higher costs, larger losses or lower liquidity. | May lower scenario returns. |
| Validation version | Data review | Test model inputs with consistent contracts and timestamps. | Needs licensed, representative data. |
No broker-customer data, trade classification or real-time orders are loaded; flow sources and investor labels can be noisy.
Read beyond the summary
References
Primary sources and research used to describe the strategy and its limits.