FX DispersionThis script calculates the dispersion of a basket of 5 FX pairs and then calculates the z-score the z-score is then made into a composite using the 30 and 60 ema of the z-score to smooth any noise. It must be used on one of the FX pairs in the basket and on the 1-minute timeframe as it has been hardcoded for 1 min use below.
Interpretation - Dispersion is a component of volatility - the dispersion of the underlying basket increases above 0.5 and decreases below 0.5.
Although increased dispersion is beneficial to momentum and trend-following strategies on the monthly and weekly timeframes. Observe this on the 1-minute timeframe and how dispersion crossing above/ below 0.5 it can signal reversion or momentum for the next period.
Regime
Blockunity Regime Monitoring (BRM)Efficiently analyze market conditions and detect overheating zones.
Regime Monitoring (BRM) is here to help you analyze the behavior of financial markets. The oscillator allows you to observe when an asset’s trend is likely to reverse. The trend is also given by the indicator, as is the phase the market is in (trending or congested). The BRM also provides the state of the Choppiness Index, indicating whether or not the asset is about to enter a more volatile phase.
The Idea
The goal is to provide the community with a comprehensive tool for tracking market conditions, with a visual approach to identifying overheating zones.
How to Use
This tool consists of 3 main components:
An oscillator, which we describe in detail below.
Bar color to transcribe oscillator information directly onto the graph. To activate Bar Color, make sure the first option is checked in the settings. You must also uncheck "Borders" and "Wick" in your Chart Settings.
A panel that summarizes the status of various indicator information.
Elements
The Regime Monitoring oscillator
The oscillator provides several information points. First, it gives the market trend of the asset:
Green: Bullish trend.
Red: Bearish trend.
Blue: Contested trend.
It then indicates areas of overheating, where it is considered statistically probable that we will see a change in trend dynamics. These moments are shown in yellow.
This market trend is also indicated in the table.
If you see that the oscillator is above or below these limits, but not yellow, this is because we use a Choppiness Index to filter this information.
The "Enable Choppiness Index Filter" is enabled by default in the settings. So, if the Chop is discharged (under 38.2), then the oscillator's overheating state is ignored.
You can see the difference in the images below, the first with the filter and the other without:
Market Phase
We use a Vertical Horizontal Filter (VHF) to define the market phase the asset is in. This phase can have two values:
Trending: Assets evolve within a trend.
Congestion: The asset is in a moment of congestion.
Chop State
Visualize the Choppiness Index, indicating whether an asset is gearing up to enter a phase of increased volatility. It can be:
Charged: Chop is considered to indicate to be entering a stable phase.
Neutral: Chop is neutral and does not provide any specific information.
Discharged: Chop is considered to indicate a continuation of the trend.
In addition, with the "Show Choppiness Index" option, you can plot the Chop on the oscillator:
Other Settings
You can also modify the standard Regime Monitoring parameters (Lookback, Smoothing, Limits), display or hide certain components, and change all the colors.
How it Works
Regime Monitoring's main oscillator is established as follows:
We calculate the percentage of times the closing price was higher than the opening price. This is then divided by a lookback period, which in this case defaults to 20. This calculation gives a probability of the current regime.
Regime Filter [CHE]About:
A market regime filter is a tool used by traders and investors to identify the current state or "regime" of the market and adjust their investment strategies accordingly. This can involve identifying trends in market behavior, such as bullish or bearish trends, and using that information to make decisions about which assets to buy or sell.
Market regime filters can be based on a variety of factors, including economic indicators, market sentiment, and technical analysis. They are often used in conjunction with other trading strategies and can help traders and investors manage risk and optimize their returns.
It's important to note that market regime filters are not always accurate and can change over time, so it's important for traders and investors to regularly review and update their filters to ensure that they are relevant and effective.
Understanding the use of a regime filter in trading:
The importance of a trading filter cannot be overemphasized. As a matter of fact, the chances of any trading system making consistent returns over the long term depends on it trading in the right market environment — buying when the market is bullish and selling when the market is bearish. Some traders may want to stay out of the market when the conditions are unfavorable.
The heard of this Regime Filter is the well kown Andean Oscillator. The proposed indicator aims to measure the degree of variations of individual up-trends and down-trends in the price, thus allowing to highlight the direction and amplitude of a current trend.
Settings
Length : Determines the significance of the trends degree of variations measured by the indicator.
Signal Length : Moving average period of the signal line.
The regime filter uses the color yellow and blue, yellow stands for bullish and blue for bearish.
In daily use I have found that it makes sense to use it in different timeframes to identify meaningful trends.
best regards and I hope you enjoy this new indicator
Chervolino
Qube [AstrideUnicorn]Qube is an indicator that shows market regimes. It is able to detect medium and long term trends and ranging markets. If the indicator bars are colored blue and are between the two blue lines, it means that the market is in sideways movement or consolidation. If indicator bars cross the upper boundary and are colored green, it means that the market is in an uptrend. Red bars crossing the lower blue line indicate a downward trend. The red or green columns are further referred as signal bars.
The indicator is based on the normalized momentum oscillator raised to the third power. This is done to increase the sensitivity of the indicator and to emphasize the difference between the market modes.
The indicator can be used in different ways. One of them is determining the trend direction based on the last signal bar. Even if the current indicator bar is blue (showing range or consolidation), the user should consider the longer-term market mode as upward if the last signal bar is green. And vice versa, if the last signal bar is red, the current market bias is downward. One other way to use the indicator is to catch active price impulses, when columns of the same color (red or green) appear consecutively.
SMA RegimeProvides a color coded indicator based upon both the slope of a moving average of choice, and the asset's position in relation to that moving average. If the specified moving average is downward sloping and the asset closes below the moving average the indicator will be red. If the specified moving average is upward sloping and the asset closes above the moving average the indicator will be green. Any other combination of these two factors will color the indicator yellow indicating indecision.
Price density [Measuring Market Noise:Take advantage]$$ Market noise can be problematic to some types of trading strategies yet beneficial to others.
By measuring noise using the 'Price Density' can enable us to improve our
trading edge and turn noise to our advantage.
Robust analysis of noise can inform us when it is best to avoid trend-following
systems (when noise is too high), and vice versa for systems based on a
mean-reverting trading premise (when market noise is low).
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Using Noise to our advantage
* Two techniques:
-Measure Noise and trade when suitable for the system
~ High noise = avoid trend-following
~ Low noise = avoid mean-reversion
-Match assets to strategies
~ Only trade 'noisy assets' with Mean-reversion Strategies
~ Only trade 'efficient assests' with Trend-following Strategies
## Price density:-
High values = High noise
Low values = Low noise
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Disclaimer!! Do your own research
