Futures/Spot Ratiowhat is Futures /Spot Ratio?
Although futures and spot markets are separate markets, they are correlated. arbitrage bots allow this gap to be closed. But arbitrage bots also have their limits. so there are always slight differences between futures and spot markets. By analyzing these differences, the movements of the players in the market can be interpreted and important information about the price can be obtained. Futures /Spot Ratio is a tool that facilitates this analysis.
what it does?
it compresses the ratio between two selected spot and futures trading pairs between 0 and 100. its purpose is to facilitate use and interpretation. it also passes a regression (Colorful Regression) through the middle of the data for the same purpose.
about Colorful Regression:
how it does it?
it uses this formula:
how to use it?
use it to understand whether the market is priced with spot trades or leveraged positions. A value of 50 is the breakeven point where the ratio of the spot and leveraged markets are equal. Values above 50 indicate excess of long positions in the market, values below 50 indicate excess of short positions. I have explained how to interpret these ratios with examples below.
M-oscillator
Fair Value Strategy - ekmllThis is a strategy using SPX's Fair Value derived from Net Liquidity.
The main difference between this one and calebsandfort's one is net liquidity values in this one are calculated in TradingView and doesn't need author's daily library updates to function.
Net Liquidity function is simply: Fed Balance Sheet - Treasury General Account - Reverse Repo Balance
Formula for calculating the fair value of and Index using Net Liquidity looks like this: (WALCL - WTREGEN - RRPONTSYD)/1000000000/scalar - subtractor
The Index Fair Value is then subtracted from the Index value which creates an oscillating diff value.
When diff is greater than the overbought threshold, Index is considered overbought and we go short/sell.
When diff is less than the oversold signal, Index is considered oversold and we cover/buy.
Parameters:
Index: SPX, NDX, RUT
Strategy: Short Only, Long Only, Long/Short
Inverse (bool): check if using an inverse ETF to go long instead of short.
Scalar (float)
Subtractor (int)
Overbought Threshold (int)
Oversold Threshold (int)
Start After Date: When the strategy should start trading
Close Date: Day to close open trades. I just like it to get complete results rather than the strategy ending with open trades.
I've optimized the parameters for SPX.
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Overview
Equilibrium is a tool designed to measure the buying & selling pressure in the market. It is depicted as a “pressure gauge” that automatically adjusts as new candles are formed, providing a real-time indication of who's on top right now, buyers or sellers?
Background
Supply & demand is considered to be the main driving force of our modern economies, where the interaction between the two parties(sellers & buyers) leads to the determination of the fair price for a given product. Stock markets are no exception, they operate very much based around the idea of supply & demand.
In simple terms, supply refers to the availability of a product, and demand is the willingness of consumers to buy that product at a given price. It is obvious that different vendors may sell the same product at slightly different prices, and similarly, different customers may choose to buy the same product from different vendors at varying prices. The idea is that the price is allowed to fluctuate from time to time, but in a free & fair market, the price will eventually settle down to a value that makes both the parties happy. Such a state is known as the “Price-Equilibrium”, and this process is also referred to as the market mechanism.
This is the basic assumption around which this tool is based, the market is always trying to move towards a state of equilibrium.
Calculations
This tool takes a simplistic approach to estimate the degree of imbalance between buyers & sellers, here’s a brief summary of how the pressure is calculated:
- We compute the total lengths of red & green candles for a given period, i.e. price range multiplied by the volume for that candle.
- Then the distribution of each type of candle is calculated.
- Assuming more red candles denote more selling pressure, and green candles denote buying pressure, the gauge is populated cell by cell.
- As the pressure on one side increases, the intensity of the cell color also increases, signifying the extent to which one side is dominating.
How to use it
- The indicator is designed as a pressure gauge that moves up(vertical alignment) or to the right(horizontal alignment) as the buying pressure increases, and moves down or to the left as the selling pressure increases. How it is to be used & applied, that completely depends on your trading methodology. But, the general idea is that we expect the market to be in a state of equilibrium, and if that is not the case the tool will highlight that, and this is also where the opportunity lies to find suitable trades.
- Just by having an idea about who’s dominating the market currently, a trader can also pick sides wisely. Remember, the market is always striving to come back a state of equilibrium, and a slight imbalance can indicate the current trend, and more importantly, who’s more likely to make the next move.
User Settings
The tool offers some minimal configurations for the end user:
- You can choose to display the actual percentage value in the gauge(Show Text).
- You can adjust colors that denote buyers & sellers.
- You can change the layout of gauge, default is vertical(right side of the screen).
- Last, and most important, you can adjust the number of candles to traverse for calculating the pressure. Default is 50, can go upto 1000.
Supertrend ANY INDICATOR (RSI, MFI, CCI, etc.) + Range FilterThis indicator will generate a supertrend of your chosen configuration on any of the following indicators:
RSI
MFI
Accum/Dist
Momentum
On Balance Volume
CCI
There is also a RANGE FILTER built into the scripts so that you can smooth the indicators for the supertrend. This is an optional configuration in the settings. Also, you can change the oversold/overbought bounds in the settings (they are removed entirely for indicators without bounds).
If you find this indicator useful, please boost it and follow! I am open to suggestions for adding new indicators to this script, it's very simple to add new ones, just suggest them in the comments.
RSI is in Normal Distribution?Does RSI Follow a Normal Distribution?
The value of RSI was converted to a value between 0~2, 2~4, ..., 98~100, and the number of samples was graphed.
The Z values are expressed so that the values corresponding to 30 and 70 of the RSI can be compared with the standard normal distribution.
Additionally, when using the RSI period correction function of the 'RSI Candle Advanced V2' indicator that I made before, it shows no change in standard deviation.
RSI는 정규분포를 따를까요
RSI의 값을 0~2, 2~4, ..., 98~100 사이 값으로 변환하고 그 표본 갯수를 그래프로 표현하였습니다.
Z 값은 RSI의 30, 70에 해당하는 값을 표준정규분포와 비교할 수 있도록 표현하였습니다.
추가적으로 제가 예전에 만들었던 'RSI Candle Advanced V2' 지표의 RSI 기간 보정 함수를 사용할 경우 표준편차의 변화가 없음을 보입니다.
Relative Strength Index Wave Indicator [CC]The Relative Strength Index Wave Indicator was created by Constance Brown (Technical Analysis for the Trading Professional), and this is a unique indicator that uses the weighted close formula, but instead of using the typical price values, it uses the RSI calculated from the various prices. It then creates a rainbow by smoothing the weighted RSI with four different lengths. As far as the buy or sell signals with this indicator go, I did change things from the original source, so feel free to experiment and let me know if anything works better for you. I decided to do a variation of the original source and create buy and sell signals based on crossovers, but my version only uses the first and second smoothed RSI lines. You could also average all of the lines and buy when the average is rising and sell when it starts to fall. I have used my typical buy and sell signals to use darker colors for strong signals and lighter colors for normal signals. Because of the rainbow effect from the wave, the color changes will only appear for the bar itself when you enable that setting.
Let me know if there is any other script you would like to see me publish! I will have plenty more RSI scripts to publish in the next week. Let me know if you like this indicator series.
Ehlers Stochastic Center Of Gravity [CC]The Stochastic Center Of Gravity Indicator was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pgs 79-80), and this is one of the many cycle scripts that I have created but not published yet because, to be honest, I don't use cycle indicators in my everyday trading. Many of you probably do, so I will start publishing my big backlog of cycle-based indicators. These indicators work best with a trend confirmation or some other confirmation indicator to pair with it. The current cycle is the length of the trend, and since most stocks generally change their underlying trend quite often, especially during the day, it makes sense to adjust the length of this indicator to match the stock you are using it on. As you can see, the indicator gives constant buy and sell signals during a trend which is why I recommend using a confirmation indicator.
I have color-coded it to use lighter colors for normal signals and darker colors for strong signals. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
Leavitt Convolution Acceleration [CC]The Leavitt Convolution Slope indicator was created by Jay Leavitt (Stocks and Commodities Oct 2019, page 11), who is most well-known for creating the Volume-Weighted Average Price indicator. This indicator didn't have a good explanation or description so I custom-coded most of it. The way it works is it will give trend spikes in the direction of the underlying trend. If you don't see a spike then it means that the stock isn't trending at the moment. One possible avenue to explore with this indicator is judging the size of the trend spike before you open a position in that direction (or the opposite direction if you are shorting). I added a normalization function using code from a good friend @loxx that I recommend leaving on but feel free to experiment with it. I have color coded the lines to turn light green for a standard buy signal or dark green for a strong buy signal and light red for a standard sell signal, and dark red for a strong sell signal.
This is another indicator in a series that I'm publishing to fulfill a special request from @ashok1961 so let me know if you ever have any special requests for me.
[blackcat] L1 Ehlers Every Little Bit HelpsLevel 1
Background
Inspired by "Averaging The Open And Close To Reduce Noise" on March 2023 by John F. Ehlers’ article in the March issue, “Every Little Bit Helps”, I further smooth it because noise was still large and “Every Little Bit Does Not Helps Much”.
Function
In John F. Ehlers' 03/2023 article, "Every Little Bit Helps," he suggests that noise can be reduced by simply averaging the open and close prices of a bar, rather than just using the close price. The data sampling example presented in this article compares the traditional RSI using close data to an RSI calculated using the average of the open and close.
Compared to RSI, I used my customized RMI version which is more suitable for moment smoothing. For example, the price entry of the 1st RMI can be changed from Close to (Close + Open) / 2. In fact, the RMI indicator itself has a price input that can be changed in a similar way. You can change the input parameter "m" to "More Help", which is 5 by default.
Remarks
Feedbacks are appreciated.
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.
Divergence for Many [Dimkud - v5]Strategy is based on "Divergence for Many Indicators v4 ST" strategy by CannyTolany01
which is based on "Divergence for Many Indicator" indicator by LonesomeTheBlue
This strategy is searching for divergences on 18 indicators which you can select and optimise one by one.
Additionally you can connect any other External Indicator value. (just add this indicator the the chart and select option in settings)
To the original indicator/strategy I have added 9 additional indicators:
( Money Flow Index, Williams_Vix, Stochastic RSI , SMI Ergodic Oscillator, Volume Weighted MACD , Bull Bear Power, Balance of Power , Relative Volatility Index , Logistic Settings).
Converted strategy to v5 of Pine Script.
Added Static SL/TP in percents (%).
Added filters to filter enters:
1. Volume Weighted MACD - Multi-TimeFrame Filter
(It checks for histogram to falling or rising for a set periods of bars)
2. Money Flow Index - Multi-TimeFrame Filter
(It checks if MFI Oscillator is in the set diapason.
Also It checks if MFI is falling or rising for a set periods of bars )
3. ATR filter
(check changes in fast ATR to slow ATR )
Strategy shows good backtest results on many crypto tokens on 45m - 1h periods. (with parameters optimisation for every indicator)
To find best parameters - you can enable indicators one-by one, and optimise best parameters for each of them.
Then enable all indicators with successful results.
Optimise SL/TP.
Then try to enable and optimise filters (channels etc.)
The better is to optimise parameters separately for Short and Long trading. And run two separate bots (in settings enable only Long or only Short.)
Updates:
- Added visualisation for open trades (SL/TP)
- Added Volatility filter by ATR with many options for tests.
- Fixed some small bugs.
- Added second RSI filter (you can use two RSIs with different TF or settings)
- Updated ATR volatility and MFI filter. Removed non-effective options
- Added CCI filter
- Added option to Enable/Disable visualisation of TP/SL on chart
- Fixed one small quick bug. ("ATR filter short" was not working)
- Added Super Trend filter
- Added Momentum filter
- Added Volume Filter
- All "request.security" MultiTimeFrame calls changed to 100% non-repait function "f_security()"
MVRV Z Score and MVRV Free Float Z-ScoreIMPORTANT: This script needs as much historic data as possible. Please run it on INDEX:BTCUSD , BNC:BLX or another chart of sufficient length.
MVRV
The MVRV (Market Value to Realised Value Ratio) simply divides bitcoins market cap by bitcoins realized market cap. This was previously impossible on Tradingview but has now been made possible thanks to Coinmetrics providing us with the realized market cap data.
In the free float version, the free float market cap is used instead of the regular market cap.
Z-Score
The MVRV Z-score divides the difference between Market cap and realized market cap by the historic standard deviation of the market cap.
Historically, this has been insanely accurate at detecting bitcoin tops and bottoms:
A Z-Score above 7 means bitcoin is vastly overpriced and at a local top.
A Z-Score below 0.1 means bitcoin is underpriced and at a local bottom.
In the free float version, the free float market cap is used instead of the regular market cap.
The Z-Score, also known as the standard score is hugely popular in a wide range of mathematical and statistical fields and is usually used to measure the number of standard deviations by which the value of a raw score is above or below the mean value of what is being observed or measured.
Credits
MVRV Z Score initially created by aweandwonder
MVRV initially created by Murad Mahmudov and David Puell
PA-Adaptive T3 Loxxer [Loxx]PA-Adaptive T3 Loxxer is a Loxxer indicator that is Phase Accumulation Cycle adaptive and uses T3 moving average for smoothing instead of the typical SMA or EMA . this allows for smoother signals by reducing noise.
What is Loxxer?
The Loxxer indicator is a technical analysis tool that compares the most recent maximum and minimum prices to the previous period's equivalent price to measure the demand of the underlying asset.
What is the Phase Accumulation Cycle?
The phase accumulation method of computing the dominant cycle is perhaps the easiest to comprehend. In this technique, we measure the phase at each sample by taking the arctangent of the ratio of the quadrature component to the in-phase component. A delta phase is generated by taking the difference of the phase between successive samples. At each sample we can then look backwards, adding up the delta phases.When the sum of the delta phases reaches 360 degrees, we must have passed through one full cycle, on average.The process is repeated for each new sample.
The phase accumulation method of cycle measurement always uses one full cycle’s worth of historical data.This is both an advantage and a disadvantage.The advantage is the lag in obtaining the answer scales directly with the cycle period.That is, the measurement of a short cycle period has less lag than the measurement of a longer cycle period. However, the number of samples used in making the measurement means the averaging period is variable with cycle period. longer averaging reduces the noise level compared to the signal.Therefore, shorter cycle periods necessarily have a higher out- put signal-to-noise ratio.
Included
Bar coloring
Signals
Alerts
Loxx's Expanded Source Types
Divergences
Return Abnormality Score [SpiritualHealer117]The Return Abnormality Score indicator is designed to help traders identify potential reversals in price by detecting abnormal daily returns beyond a certain significance level. The indicator uses a normal cumulative distribution function to calculate the probability of the daily return and flags it when it exceeds the specified significance level.
Traders can use this indicator by monitoring the abnormality score. If the daily return is negative, the probability is multiplied by a negative number. Therefore, if the abnormality score goes above the positive threshold, it suggests that the price is oversold, while if it goes below the negative threshold, it indicates that the price is overbought. It can also be helpful for spotting bear or bull traps due to their irregular behavior.
Depending on the trader's preference, the indicator can be smoothed or unsmoothed.
This indicator should be paired with other technical analysis tools like SSL Hybrid for trend confirmation, and proper risk management strategies.
Ehlers Detrending Filter [CC]The Detrending Filter was created by John Ehlers and this is a complementary indicator to one of my previous scripts:
This indicator builds upon his previous work by attempting to detrend the underlying source data that is used to calculate the final result. He was able to create a leading indicator by removing the trend data and by using his previous calculations to turn the source data into a leading indicator.
There are two ways to understand this indicator. First if the indicator is below the midline then it is in a mid to longterm downtrend and if it is above the midline then it is in a mid to longterm uptrend. Also this indicator shows great promise in predicting future trends so because of that aspect, it may give some false signals from time to time.
I have color coded everything to account for both strong signals and normal signals. Strong signals are darker in color and normal signals are lighter in color. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
Implied Correlation Divergence OscillatorImplied Correlation Divergence Oscillator (ICDO)
ICDO uses an SMA calculation as a low-pass filter to determine divergences from trend. This can be useful for multiple strategies, including detecting overbought or oversold trends, and finding dispersion opportunities, including zero delta straddle plays using options for indices and single assets within the S&P 500 Index.
The aim of the oscillator is to provide a unique perspective on the existing signals provided by the CBOE (Chicago Board Options Exchange)
First choose from a variety of Implied Correlation symbols including: COR1M, COR3M, COR6M, COR9M, COR1Y, COR10D, COR30D, COR70D, COR90D
Then once an IC signal is chosen, configure the moving average (MA) as a customized low-pass filter that will determine the sensitivity of the divergence signal.
The resulting signal is an oscillator around the zero bound, which is color coded for bullish (green), or (bearish) signals.
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.
[blackcat] L2 Aroon13Level 2
Background
The Aroon indicator developed by Tushar Chanand indicates whether there is a trend price or is located in a trading area.
Function
Classical Aroon can also show the beginning of a new trend, its strength and expectation of changes from trade areas to trends. This is a traditional aroon indicator with length == 13, which exhibit good performance.
Remarks
Feedbacks are appreciated.
Consumption OscillatorOVERVIEW
The Consumption Oscillator combines Core Consumer Price Index (USCCPI) and Personal Consumption Expenditure (USPCEPI). It can be a useful tool for understanding inflationary and deflationary pressure in the economy.
CONCEPTS
Defining some thresholds may aid in interpreting the oscillator but interpretation needs context. Also, the thresholds may need adjusting. Overall, using this oscillator in combination with other economic indicators may provide some insights into macroeconomic conditions.
Strong positive signal: If the oscillator rises above a threshold value of +2, it may be considered a strong positive signal. This could suggest that the CCPI is growing faster than the PCE, indicating stronger inflationary pressure and potentially higher levels of economic growth.
Weak positive signal: If the oscillator rises above a threshold value of +1, it may be considered a weak positive signal. This could suggest that the CCPI is growing slightly faster than the PCE, which may still indicate some level of inflationary pressure and moderate economic growth.
No signal: If the oscillator is between -1 and +1, it may be considered a neutral signal. This indicates that the CCPI and PCE are growing at roughly the same rate, and there may be no significant inflationary or deflationary pressure in the economy.
Weak negative signal: If the oscillator falls below a threshold value of -1, it may be considered a weak negative signal. This could suggest that the PCE is growing slightly faster than the CCPI, which may indicate some level of deflationary pressure and slower economic growth.
Strong negative signal: If the oscillator falls below a threshold value of -2, it may be considered a strong negative signal. This could suggest that the PCE is growing much faster than the CCPI, indicating stronger deflationary pressure and potentially lower levels of economic growth
Ehlers Reflex Indicator [CC]The Reflex Indicator was created by John Ehlers (Stocks and Commodities Feb 2020) and this is a zero lag indicator that works similar to an overbought/oversold indicator but with the current stock cycle data. I find that this indicator works well as a leading indicator as well as a divergence indicator. Generally speaking, this indicator indicates a medium to long term downtrend when the indicator is below the line and a medium to long term uptrend when the indicator is above the line. Ehlers has created a few complementary indicators that I will release in the next few days but just keep in mind that this indicator focuses on the underlying cycle component while removing as much noise with no lag. I have color coded the lines to show strong signals with the darker colors and normal signals with the lighter colors. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
Ehlers Data Sampling Relative Strength Indicator [CC]The Data Sampling Indicator was created by John Ehlers (Stocks and Commodities Mar 2023) and this is a genius method to reduce noise in the market data but also doesn't introduce any lag while doing so. The way this works is because traditionally, people have always relied on the close price as the default input for many indicators such as the RSI or MACD as examples. Since the open is usually virtually identical to the previous close, it has been ignored by most people but Ehlers discovered that if you do a simple average of open and close for the input on any indicator, you can remove much of the noise without any added lag. I have used the RSI as he did in his example and plotted both to show the difference between the traditional RSI and using Ehlers' process as the new Data Sampling RSI. You can clearly see that this new RSI follows the price fluctuations much closer and is much smoother than the traditional RSI. As usual, I have included different colors to show the strength of the buy or sell signals so darker colors mean it is a very strong signal and lighter colors means it is a normal signal. Buy when the line turns green and sell when it turns red.
Feel free to try out this method to replace the input for any indicator and let me know how this works for you! And of course let me know if you would like me to publish any indicator script.
Multi indicators tableThis is a comprehensive trading tool that presents an overview of the market in a tabular format. It consists of five distinct categories of trading indicators : Volatility, Trend, Momentum, Reversal, and Volume. Each category includes a series of indicators that are widely used in the trading communauty.
The Volatility category includes the Average True Range (ATR) and Bollinger Bands indicators. The Trend category comprises the Average Directional Index (ADX), four Exponential Moving Averages (EMAs), Aroon, Parabolic SAR, and the Supertrend. The Momentum category includes the Stochastic Relative Strength Index (StochRSI), Money Flow Index (MFI), Williams %R, Relative Strength Index (RSI), and Commodity Channel Index (CCI). The Reversal category includes Parabolic SAR, Moving Average Convergence Divergence (MACD), and PP Supertrend. Finally, the Volume category includes the Volume Exponential Moving Average (EMA) indicator.
The indicators states are easily readable, the indicator case is colored based on his actual state. A bullish color (green by default), a bearish color (red by default),
a very bullish color (dark green by default), a very bearish color (dark red by default) and a neutral color (gray by default) displayed when the indicator doesn't give us a clear signal. Some indicators do not have a very bullish or very bearish state. Concerning volatility indicators, the bullish color indicates high volatility, the bearish color indicates low volatility, and the neutral color indicates normal volatility.
Most of the indicators displayed in the table are customizable, and traders can choose to hide the categories they don't want to use. The Indicator provides a quick and easily readable view on the market and allows traders to reduce the number of indicators on their chart making it lighter and more readable.
range_statA basic statistic to describe "ranges". There are three inputs:
- short range
- long range
- moving average length
The output is a ratio of the short range to the long range. In the screenshot example, the short range is a single day (bar) and the long range is five days. A value near "1" would mean that every day entirely fills the five day range, and that a consolidation is likely present. A value near 0 would mean that each day fills only a small portion of the five day range, and price is probably "trending".
The moving average length is for smoothing the result (which also lags it of course).
The mean, and +- 2 standard deviations are plotted as fuchsia colored lines.
