Short Term Bubble RiskThis risk indicator uses the extension of the closing price to the 20W SMA and displays a color-coded risk oscillator. The higher the oscillator is, the greater the short-term risk and vice-versa. This indicator has historically worked well for estimating the short-term risk of Bitcoin and Ethereum on a weekly timeframe.
Oscillaltor
Expansion IndexWhat is the expansion index?
The expansion index is a concept that charts the relative strength or weakness based on the comparison of recent price changes and overall prices changes for the period.
It can be used as an momentum oscillator and show overbought or oversold price conditions by measuring the relation between the sum of "strong" price changes (which can form trends).
The Expansion Index is most typically used on an 8 day timeframe. It changes on a scale from −100 to +100, with the overbought and oversold levels marked at +60 and −60, respectively.
What about this indicator?
This indicator basically shows the rate of expansion from zero, but also has other uses apart from finding over bought or over sold territory.
Scenarios:
Lets say you are identifying a contraction zone (low volume zone of candles), you can further confirm the contraction if the Index is at or near 0, in this case it might have more strength
and play out more accurately the contraction and expansion.
Once the Expansion begins and price expands from the 0 level you can determine if its overbought which would be around the 1.00 Level or Oversold which would be at around the -1.00 Levels, and a reversal can follow out.
With the rate of change line you can identify trends in market and when reversals will start.
This indicator is best used with contraction, expansion, and trend principles also known as the Forex Master Pattern, as it was for what this specific indicator was designed for.
Thanks to NNAMDERT for writing this indicator and giving full rights. :)
Faytterro Oscillatorwhat is Faytterro oscillator?
An oscillator that perfectly identifies overbought and oversold zones.
what it does?
this places the price between 0 and 100 perfectly but with a little delay. To eliminate this delay, it predicts the price to come, and the indicator becomes clearer as the probability of its prediction increases.
how it does it?
This indicator is obtained with "faytterro bands", another indicator I designed. For more information about faytterro bands:
A kind of stochastic function is applied to the faytterro bands indicator, and then another transformation formula that I have designed and explained in detail in the link above is applied. These formulas are also applied again to calculate the prediction parts.
how to use it?
Use this indicator to see past overbought and oversold zones and to see future ones.
The input named source is used to change the source of the indicator.
The length serves to change the signal frequency of the indicator.
Energy_Arrows[Salty]This script quantifies the energy in a price move by comparing the relationship of 3 configurable exponential moving averages present on a slightly higher timeframe (chosen automatically based on the charts current period). It uses the closing price by default, but this is also configurable using the Source input. There are a few ways to use the information in this indicator. One is to use the values above zero (colored green) to provide a bullish bias for future price, and values below zero (colored red) indicating a bearish bias for future prices. This bias can be shown to be increasing or decreasing base on the upward or downward slope of the indicator. The green and red arrows can be enabled to show if the bias is strengthening or weakening based on the direction they are pointing. Finally, the height changes in the peaks of the indicator can be used to show divergence in the strength of extreme price moves to show when a pull back or reversal may occur.
R Squared - MomentumThis little oscillator just returns the R Squared Value of current price action.
It is designed to show trend direction momentum. Great for confluence!
TMO ScalperTMO - (T)rue (M)omentum (O)scillator) MTF Scalper Version
TMO Scalper is a special custom version of the popular TMO Oscillator. Scalper version was designed specifically for the lower time frames (1-5min intraday scalps). This version prints in the signals directly on top of the oscillator only when the higher aggregations are aligned with the current aggregation (the big wheels must be spinning in order for a small wheel to spin). The scalper consist of three MTF TMO oscillators. First one is the one that plot signals (should be the fastest aggregation), second serves as a short term trend gauge (good rule of thumb is to us 2-5x of the chart time frame or the first aggregation). The third one (optional) is shaded in the background & should only serve as a trend gauge for the day (usually higher time frames 30min+).
Time Frames Preffered by Traders:
1. 1m / 5m / 30m - This one is perfect for catching the fastest moves. However, during choppy days the 1min can produce more false signals..
2. 2m / 10m / 30m - Healthy middle, the 2min aggregation nicely smooths out the 1min mess. Short term gauge is turning slowly (10min for a signal to confirm).
3. 3m / 30m / 60m - This TF is awesome for day traders that prefer to take it slow. Obviously, this combination will produce far less signals during the day.
Hope it helps.
TMO ArrowsTMO - (T)rue (M)omentum (O)scillator) MTF Arrows
Do you want to use TMO but you lack space on the chart? This study is just for you. This is the more user-friendly version of the TMO Oscillator. In terms of the indicator there are no changes except the indicator is converted in to the simple arrows.
There are Four Types of Arrows:
1. TMO Arrow Up - Visualizes the TMO bullish crosses.
2. TMO Arrow Down - Visualizes the TMO bearish crosses.
3. TMO Arrow Up (Oversolds Only) - Visualizes only the bullish crosses that are at or below the oversold zone.
4. TMO Arrow Down (Overboughts Only) - Visualizes only the bearish crosses that are at or above the overbought zone.
In case you only want the arrows for extremes, turn off the Arrow Up / Arrow Down first. Arrows for extremes only are turned off by default.
Hope it helps.
MTF TMOTMO - (T)rue (M)omentum (O)scillator) MTF (Higher Aggregation) Version
TMO calculates momentum using the DELTA of price. Giving a much better picture of the trend, reversals & divergences than most momentum oscillators using price. Aside from the regular TMO, this study combines four different TMO aggregations into one indicator for an even better picture of the trend. Once you look deeper into this study you will realize how complex this tool is. This version also produce much more information like crosses, divergences, overbought / oversold signals, higher aggregation fades etc. It is probably not even possible to explain them all, there could easily be an entire e-book about this study.
I have been using this tool for a couple of years now, and this is what i have learned so far:
Favorite Time Frame Variations:
1. 1m / 5m / 30m - Great for intraday futures or options scalps. 30m TMO serves as the overall trend gauge for the day. 5min dictates the longer term intraday moves as well as direction of the 1min. 1min is for the scalps. When the 5min TMO is sloping higher focus should be on 1min buy signals (red to green cross) and vice versa for the 5min agg. sloping down.
2. 5m / 30m / 60m - Also an interesting variation for day trading the 3-5 min charts. Producing more cleaner & beginner-friendly signals that lasts couple of minutes instead of seconds.
3. 120m / Day / 2 Day - For the 30m to 1H or 2H timeframes. Daily & 2 Day dictates the overall trend. 120 min for the signals. Great for a multi-day swings.
4. Day / 2 Day / Week - Good for the daily charts, swing trading analysis as the weekly dictates the overall trend, daily dictates the signals and the 2 day cleans out the daily signals. If the daily & 2 day are not aligned togather, daily signal means nothing. Weekly dictates 2 day - 2 day dictates daily.
5. Week / Month / 3 Month - Same thing as the previous variation but for the weekly charts.
TMO Length:
The default vanilla settings are 14,5,3. Some traders prefer 21,5,3 as the TMO length is litle higher = TMO will potenially last little longer which could teoretically produce less false signals but slower crosses which means signals will lag more behind price. The lower the length, the faster the oscillator oscillates. It is the noice vs. the lag debate. The Length can be changed, but i would not personally touch the other two. Few points up or down on length will not drastically change much. But changes on Calc Length and Smooth Length can produce totally different signals from the original.
Tips & Tricks:
1. Observe
- This is the best tip & trick I can give you. The #1 best way to learn how any study operates is to just observe how it works in certain situations from the past. MTF TMO is not
an exception.
2. The Power of the Higher Aggregation
- The higher aggregation ALWAYS dictates the lower one. Best way to see this? Just 2x the current timeframe aggregation = so on daily chart, plot the daily & two day TMOs and you will notice how the higher agg. smooths out the current agg. The higher the aggregation is, the smoother (but slower) will the TMO turn. The real power kicks in when the 3 or 4 aggregations are aligned togather in one direction.
3. Position of the Higher Aggregation in Relation to the Extremes
- Overbought / oversold signals might not really work on the current aggregation. But pay attention to the higher aggregations in relation to the extremes. Ex: on the daily chart - daily TMO inside the OB / OS extremes might not mean much. But once the higher aggregations such as 3 day or Weekly TMO enters OB/OS zone togather with the daily, this can be a very powerful signal for a TMO reversion to the zeroline.
4. Crosses
- Yes, crosses do work. Personally, I never really focused on them. The thing about the crosses is that it is crucial to pick the right higher aggregation to the combination of the current one that would be reliable but also print enough signals. The closer the cross is to the OB / OS extremes, the more bigger move can occur. Crosses around the zero line can be considered as less quality crosses.
5. Divergences
- TMO can print awesome divergences. The best divergences are on the current aggregation (TMO agg. same as the chart) since the current agg. oscillates fast, it can usually produce lower lows & higher highs faster then any higher aggregations. Easy setup: wait for the higher aggregation to reach the OB / OS extremes and watch the current (chart) aggregation to print a divergence.
6. Three is Enough
- I personally find more than three aggregations messy and hard to read. But there is always the option to turn on the 4th one. Just switch the TMO 4 Main, TMO 4 Signal and TMO 4 Fill in the style settings.
Hope it helps.
End-pointed SSA of Williams %R [Loxx]End-pointed SSA of Williams %R is an indicator that runes Williams %R SSA calculation through a Singular Spectrum Analysis (SSA) algorithm to derive a smoother final output. The reduction in noise from the traditional Williams %R is significant.
What is Williams %R?
Williams %R , also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods.
What is Singular Spectrum Analysis ( SSA )?
Singular spectrum analysis ( SSA ) is a technique of time series analysis and forecasting. It combines elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA aims at decomposing the original series into a sum of a small number of interpretable components such as a slowly varying trend, oscillatory components and a ‘structureless’ noise. It is based on the singular value decomposition ( SVD ) of a specific matrix constructed upon the time series. Neither a parametric model nor stationarity-type conditions have to be assumed for the time series. This makes SSA a model-free method and hence enables SSA to have a very wide range of applicability.
For our purposes here, we are only concerned with the "Caterpillar" SSA . This methodology was developed in the former Soviet Union independently (the ‘iron curtain effect’) of the mainstream SSA . The main difference between the main-stream SSA and the "Caterpillar" SSA is not in the algorithmic details but rather in the assumptions and in the emphasis in the study of SSA properties. To apply the mainstream SSA , one often needs to assume some kind of stationarity of the time series and think in terms of the "signal plus noise" model (where the noise is often assumed to be ‘red’). In the "Caterpillar" SSA , the main methodological stress is on separability (of one component of the series from another one) and neither the assumption of stationarity nor the model in the form "signal plus noise" are required.
"Caterpillar" SSA
The basic "Caterpillar" SSA algorithm for analyzing one-dimensional time series consists of:
Transformation of the one-dimensional time series to the trajectory matrix by means of a delay procedure (this gives the name to the whole technique);
Singular Value Decomposition of the trajectory matrix;
Reconstruction of the original time series based on a number of selected eigenvectors.
This decomposition initializes forecasting procedures for both the original time series and its components. The method can be naturally extended to multidimensional time series and to image processing.
The method is a powerful and useful tool of time series analysis in meteorology, hydrology, geophysics, climatology and, according to our experience, in economics, biology, physics, medicine and other sciences; that is, where short and long, one-dimensional and multidimensional, stationary and non-stationary, almost deterministic and noisy time series are to be analyzed.
Included:
Bar coloring
[*Alerts
[*Signals
[*Loxx's Expanded Source Types
Related Williams %R Indicators
Williams %R on Chart w/ Dynamic Zones
Williams %R w/ Bollinger Bands
Intermediate Williams %R w/ Discontinued Signal Lines
Related SSA Indicators
End-pointed SSA of FDASMA
End-pointed SSA of Normalized Price Oscillator
GBTT Magic LineOverview:
This indicator merges concepts from RSI , Stochastic , and Stochastic RSI together and runs at a specific time period to look for potential oversold and overbought scenarios.
Intended use:
To provide educational content about the short term movement of an asset. Can be used on any time frame.
Disclaimer:
NOT intended to be a sole source of Technical Analysis or anything more than an educational tool!
UTG - Gravy TrainThe most complex indicator we've ever developed.
Works on ALL MARKETS!
Gravy Train is a ALL IN ONE - ONE GLANCE indicator.
- It allows you to gauge trend, gives you appropriate LONG & SHORT identifiers
- It identifies when the trades should be over
- Cloud based support & resistance Zones drawn on the chart
- It keeps you OUT of the market in areas of indecision
- It works on ALL timeframes
- Takes the emotion out of trading various markets
- Gravy Train is Unity Trading Groups bread and butter for Scalping, Swing Trading, Position Trading & Day Trading
Unity Trading Group is proud to present Gravy Train!
To gain access to this script, you can find our details in our Signature, use the links below to find out!
