Strategy #0000000147 · Calendar and seasonality
FX benchmark-fix drift and reversal
Choose pre-fix follow or post-fix fade, then enter direction, move size, notional and costs.
FX benchmark fixes such as WM/Reuters aggregate client trades at set times. Net demand may affect exchange rates before the fix, with a partial reversal afterward. The window, client flows, London calendar, time zones and market conditions matter; historical findings should not be treated as a current profit signal. This scenario takes manually entered direction, drift and reversal sizes.
No live client flows, fix rates, trading windows or execution data are loaded.
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
What remains after costs from following pre-fix demand drift or fading the post-fix move?
FX benchmark fixes such as WM/Reuters aggregate client trades at set times. Net demand may affect exchange rates before the fix, with a partial reversal afterward. The window, client flows, London calendar, time zones and market conditions matter; historical findings should not be treated as a current profit signal. This scenario takes manually entered direction, drift and reversal sizes.
Choose pre-fix follow or post-fix fade, then enter direction, move size, notional and costs.
No live client flows, fix rates, trading windows or execution data are loaded.
- Input assumptionsChoose pre-fix follow or post-fix fade, then enter direction, move size, notional and costs.
- Model outputNo live client flows, fix rates, trading windows or execution data are loaded.
Illustrative research examples only. They are not live signals or a recommendation.
The mechanics · payoff and exposure
R_{pre}=sign(D)\cdot Drift-C,\quad R_{post}=-sign(D)\cdot Reversal-C
Direction denotes fix-period net demand; move assumptions and costs are entered separately for each strategy.
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.
R_{pre}=sign(D)\cdot Drift-C,\quad R_{post}=-sign(D)\cdot Reversal-C
Practical context · published observations
FX benchmark-fix drift and reversal: 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 live client flows, fix rates, trading windows or execution data are loaded. 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 | FX benchmark fixes such as WM/Reuters aggregate client trades at set times. Net demand may affect exchange rates before the fix, with a partial reversal afterward. The window, client flows, London calendar, time zones and market conditions matter; historical findings should not be treated as a current profit signal. This scenario takes manually entered direction, drift and reversal sizes. | No live client flows, fix rates, trading windows or execution data are loaded. |
| 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 live client flows, fix rates, trading windows or execution data are loaded.
Read beyond the summary
References
Primary sources and research used to describe the strategy and its limits.