1. Moving Averages (MA)

Trend indicator

Moving averages are the most commonly used technical indicators. They help identify the trend direction and provide support and resistance levels. Trading bots can use MAs with different periods to capture different trend durations or potential market reversals with crossovers such as the Golden Cross. In general, the Golden Cross technique involves using the moving average (MA) on two different periods: the 50-day MA for the short term and the 200-day MA for the long term. However, there is no strict rule for the length of these periods. The Golden Cross can occur on any time period, and the basic principle is that a short-term MA crosses a long-term MA. Maximize your trading strategy with the moving averages indicator on Kryll.io

2. Relative Strength Index (RSI)

Relative Strength Indicator

The RSI measures the strength of the price action of an asset. It helps your automated strategy determine if an asset is overbought or oversold, indicating potential price reversals. Automated strategies can also use the RSI to take counter-trend trades in a more controlled manner and adjust positions accordingly. The RSI is an important tool for technical analysis and should be used in combination with other indicators to identify key entry and exit points. Step-by-step guide for using the RSI indicator on Kryll.io

3. Bollinger Bands (BB)

Indicator of mean reversion

Bollinger Bands use standard deviations to measure the volatility of an asset's price action. They consist of an upper and lower band that envelopes the asset's price, making it easier to identify potential price breakouts. Trading bots can use Bollinger Bands to identify potential price breakouts outside of the band, indicating a likely trend reversal or continuation in an impulsive movement. The bands also act as dynamic support and resistance levels: if the asset's price reaches the upper or lower band, a reversal or return to the mean is highly likely. Improve your trading performance with the Bollinger Bands indicator on Kryll.io

4. Stochastic Oscillator

Relative Strength Indicator

Stochastic oscillators, such as StochRSI, enable automated strategies to identify potential overbought or oversold conditions in financial markets, which can indicate high or low price levels. It compares the asset's closing price to its price range over a defined period. In automated trading, strategies may use the stochastic oscillator to identify potential trend exhaustion or confirm the strength of a trend. Boost your trading bot with StochRSI indicator on Kryll

5. Moving Average Convergence Divergence (MACD)

Momentum indicator

MACD is a momentum indicator that follows trends and helps trading strategies identify potential trend reversals. It consists of two moving averages, the MACD line and the signal line. Advanced trading bots also exploit MACD divergence (which involves the crossing between two MACD lines of different lengths) to identify potential trend reversals before they occur. Kryll offers an easy and user-friendly method to implement this type of strategies. Using the MACD indicator for profitable automated trading on Kryll.io

6. SuperTrend (ST)

Trend indicator

SuperTrend is an advanced trend-following indicator that trading robots can use to identify potential trend reversals based on price and volatility. It helps determine when to enter or exit a position, as well as bullish or bearish market reversals. Additionally, trading bots can also use the concept of SuperTrend bounce, where price bounces off the upper or lower band of the indicator, indicating a potential market reversal. Kryll.io facilitates the integration of SuperTrend into investors' trading strategies and allows them to take advantage of its predictive capabilities. Unlocking the power of the SuperTrend indicator on Kryll.io

7. Volume Moving Averages

Volume indicator

The analysis of volume moving averages can be a powerful tool for crypto trading bots. Comparing current volume to its moving averages can help identify legitimate bullish momentum phases, as well as potential manipulations (both up and down) lacking true volume support. Additionally, volume analysis can confirm consolidation and accumulation phases, providing valuable insights for trading strategies. Analyze real-time volume with Kryll's trading bot

8. Cloud Ichimoku

Trend indicator

The Ichimoku Cloud is a trend-following indicator that helps your algo trading strategy identify potential levels of support and resistance. It is composed of several lines, including the cloud, conversion line, and base line. Automated trading strategies can use the Ichimoku Cloud to identify potential trend reversals and confirm the direction of the trend. Traders can also use the position of price relative to the cloud and the slope of the cloud to determine potential entry and exit points. Additionally, the Ichimoku Cloud can be used in combination with other technical indicators to build more complex trading strategies. Improve your trading strategy with the Ichimoku indicator on Kryll.io

9. Price Action Levels

Advanced Indicator

The Price Action trading involves analyzing the price of an asset to extract zones of friction and impulse. This technique can be seen as an advanced indicator that allows trading bots to identify support and resistance zones based on historical price movements. They enable bots to anticipate potential trend reversals and breakouts, improving their overall trading strategy. Price action levels provide valuable insights into market conditions for trading bots, highlighting consolidation zones and identifying both impulsive and corrective price movements. Automate your Price Action Trading on Kryll.io

10. On-Chain Metrics

Advanced Indicator

In the field of crypto, bots can also use the information provided by On-Chain metrics to identify trends related to network usage, behavior of large capital holders (Whales), OTC fund movements and sales, as well as trader and investor sentiment. By using this information, bots can make trading decisions based on quantitative, macro-economic or behavioral data, which can ultimately lead to better efficiency in risk management or optimization of algo profitability. Discover more about On-Chain metrics with Glassnode