Williams %R
Williams %R is a momentum based oscillator used to determine overbought and oversold market conditions. This indicator is unique in that it oscillates between 0 and -100. A value closer to 0 is considered overbought and a value closer to -100 is considered oversold. Users can change how this indicator produces trade signals by lowering/raising the length and changing the buy and sell level values.
Recent
Legacy
Supported License | Supported Trade Types |
| Spot trading |
| Margin trading |
Advanced license | Leverage trading |
- Exchange Website to monitor
- Currency Pair to monitor for trade signals
- Update Speed
- Trade Signals
Tip: The exchange doesn't have to be the same exchange you are currently trading on.
- Length
- Represents the number of candles used for the shorter length calculation.
- Buy Threshold
- When the calculation result is equal or below this value, the indicator will generate a buy signal.
- Sell Threshold
- When the calculation result is equal or above this value, the indicator will generate a sell signal.
It is recommended to use this indicator during sideways markets to catch the dips and rises and maximize your profit. Alternatively, this can be used at larger timescales for some interesting results.
Supported License | Supported Trade Types |
| Spot trading |
| Margin trading |
Advanced license | Leverage trading |
- Exchange Website to monitor
- Currency Pair to monitor for trade signals
- Update Speed
- Trade Signals
Tip: The exchange doesn't have to be the same exchange you are currently trading on.
- Length
- Represents the number of candles used for the shorter length calculation.
- Buy Threshold
- When the calculation result is equal or below this value, the indicator will generate a buy signal.
- Sell Threshold
- When the calculation result is equal or above this value, the indicator will generate a sell signal.
It is recommended to use this indicator during sideways markets to catch the dips and rises and maximize your profit. Alternatively, this can be used at larger timescales for some interesting results.
Last modified 3yr ago