Track real-time market signals for 22 technical analysis oscillators and moving averages on the Kraken Pro layout.
Kraken Pro is pleased to introduce a comprehensive new tool to its web trading interface: the Technical Analysis (TA) widget. This feature provides real-time market signals for 22 technical analysis oscillators and moving averages, allowing you to detect overbought or oversold market conditions directly from your trading layout, allowing you to make more informed decisions.
The Technical Analysis widget is designed to integrate seamlessly into your customizable Kraken Pro layout, providing detailed insight into market sentiment across two major categories: oscillators and moving averages. Whether you want to gauge the momentum of price action or identify potential reversal signals, this widget has you covered.
- Dual tab for easy navigation: Switch between the Oscillators and Moving Averages tabs to see different sets of indicators.
- Signal Overview: Monitor overall market sentiment at the top of the widget.
- Flexible time frame selection: Customize the indicator period with options from 1 minute to 1 day to suit your trading strategy.
- Dynamic updates: All values and sentiment indicators are updated in real time when you adjust the time zone, providing up-to-date data across all time zones.
4 hours $Bitcoin Oscillator displaying mixed signals 🟥🟩
What are your expectations for today? pic.twitter.com/TIeZWWYoFO
— Kraken Pro (@krakenpro) August 1, 2024
Learn more about oscillators and moving averages
Understanding the specific tools available in a TA widget is essential to taking full advantage of the widget’s potential.
Expert Tip: Learn more about technical analysis indicators with our new in-product learning content here.
Below is a table summarizing the oscillators and moving averages that can be tracked.
oscillator
| indicator | password | explanation |
| Relative Strength Index (14) | Repeated repetition | The Relative Strength Index Momentum Oscillator measures the strength of price movements and helps identify overbought or oversold markets. |
| Probabilistic oscillator (14, 1, 3) | Stock | Probabilistic %K predicts price turning points by comparing the current price to the high-low range over a given period. |
| Product Channel Index (20) | Korea Chamber of Commerce and Industry (CCI) | The Commodity Channel Index measures the variation of an asset’s performance from its statistical average, helping to identify emerging trends or warn of extreme situations. |
| Average Directional Index (14) | ADI | The Average Directional Index combines two directional indicators, positive (+DI) and negative (-DI), to quantify trend strength regardless of trend direction, assessing how strong the current trend is compared to past trends. |
| Momentum (10) | ADX | Momentum indicators measure the speed of change in an asset’s price, evaluating the speed of price movement by comparing the current closing price to the previous closing price. |
| Moving average convergence/divergence (12, 26) | MACD | Moving average convergence/divergence is a momentum indicator that shows changes in the strength, direction, momentum, and duration of a price trend. |
| Probabilistic RSI (14) | Stock RSI | Stochastic RSI Fast uses a shorter time frame to provide faster signals, making it ideal for identifying overbought and oversold conditions in fast-moving markets. |
| Williams Percentage Range (14) | %R | The Williams Percent Range is a momentum indicator that measures overbought and oversold markets by comparing an asset’s closing price to its high-low range over the period. |
moving average
| indicator | password | explanation |
| Simple moving average (10, 20, 30, 50, 100, 200) | SMA (Intermediate Language) | The simple moving average is a smoothing method used to average price data over a specific period of time, helping to identify trends and potential support or resistance levels. |
| Exponential Moving Average (10, 20, 30, 50, 100, 200) | EMA | The exponential moving average indicator calculates the average price of the market over a certain period of time. Unlike the simple moving average, which gives equal weight to all prices, the EMA prioritizes recent prices, making it more responsive to recent price movements. |
| Hull Moving Average (9) | HMA | The Hull Moving Average aims to reduce lag by combining a weighted moving average with the square root of the period, making it very sensitive to price movements. |
| Volume Weighted Moving Average (20) | Volkswagen | The volume-weighted moving average is a smoothed indicator that combines both price and volume, representing the average price of an asset weighted by volume over a given period of time. |
Explore the new TA Widget on Kraken Pro and take your trading to the next level with real-time data-driven insights. Happy trading!
This material is provided for general information purposes only and is not intended to be investment advice or a recommendation or solicitation to buy, sell, hold, or otherwise engage in any particular trading strategy. Kraken makes no representations or warranties of any kind, express or implied, as to the accuracy, completeness, timeliness, suitability or validity of this information and assumes no liability for any errors, omissions or delays in the presentation or use of this information or for any loss, injury or damage arising from such information. Kraken does not and will not seek to increase or decrease the price of any particular crypto asset it offers. Some crypto products and markets are unregulated and may not be protected by governmental compensation and/or regulatory protections. The unpredictable nature of the crypto asset markets can result in the loss of funds. Taxes may apply on gains and/or appreciation in the value of crypto assets and you should seek independent advice regarding your tax position. Geographic restrictions may apply.