Uncertainty IndicatorThis indicator try to show the amount on uncertainty that exist by plotting a 3-days
moving average of the difference between the 'close' and 'ohlc4',
which is compared to a 20-days Bollinger Band with a standard deviation of one.
This menas that when the 3-day curve is above the upper limit, the Uncetainty is
higher than it has been during 84% of the last 20 day period (and vice versa for
the lower limit).
By using Open,High,Low,Close you get four opinions of what the price should be for
the current period. If there is a difference between 'close' and 'ohlc4' there seem
to exist an uncertainty if the closing price is correct.
Can we say anything about direction? I don't think so; either the 'close king' has
to listen to its 'people' and move toward 'ohlc4', or the other way around.
A way to see if the uncertainty increases over time could be to see if:
abs(close - ohlc4 ) < abs(close - ohlc4) ,which say that we are more uncertain
this period than the in previous one.
And I guess, with increased uncertainty comes 'fear' of loosing money.
Cerca negli script per "curve"
COVID-19: Daily change per capita (EU only)New confirmed cases per day (daily change) is one thing, just an absolute value but when we put this number in context of population (per million people) of each country the situation is a bit different.
We can easily see that, at the moment (Apr 2nd, 2020), the most affected country is Spain (~150 new cases per million people per day) and surprisingly the second one is Switzerland (CH). We can also see Spain or Belgium's steep curve relative to other countries.
I know that some countries run more tests than the others and the outcome might not be reflect the reality but this is the official data that is available.
GMS: Mean Reversion StrategyThis is based on my GMS: Mean Reversion Indicator ()
Features:
- % Based Profit Target and Stop Loss
- SMA Trend Filter
- Can choose trade exit based off a moving average or linear regression curve
- Filter for long only trades, short only trades, or both at the same time.
Source code is open, so feel free to take a look!
I hope it helps,
Andre
BTC Growth CurveA function which maps Bitcoin supply fundamentals to an estimated demand growth model via price.
SamLRSD
Linear Regression curve supported by Upper and Lower Standard Deviation bands to support your decision
Linear regression series is the average of Close and VWAP to guarantee volume is represented in calculation
Interpretation is similar to what you do with Bollinger Bands
TMMS OscillatorThe TMMS oscillator (aka “Trading Made More Simpler”) is an indicator made of conditions based on both 2 separated Stochastic and 1 RSI.
Bullish zone is green and bearish one is red. When the histogram is grey, no signals is available at that time.
The indicator has an option to show the current trend of an Hull moving average (ascending or descending curve). When the trend is up, green dots are plotted on the zero line. When the trend is down, the dots are coloured in red.
Greetings, success with your trade!!!
Charles Recession WatchThe “Recession Watch” indicator tracks 7 key economic metrics which have historically preceded US recessions. It provides a real-time indication of incoming recession risk.
This indicator gives a picture of when risk is increasing, and therefore when you might want to start taking some money out of risky assets.
All of the last seven recessions were preceded by a risk score of 3 or higher. Six of them were preceded by a risk score of 4 or higher. Unfortunately data prior to 1965 was inconsistent and prior recessions could not be considered.
Based on the indicator hit rate at successfully flagging recessions over the last 50 years, risk scores have the following approximate probabilities of recession:
- 0-1: Low
- 2: 25% within next 18 months
- 3: 30% within next 12 months
- 4-7: 50% within next 12 months
Note that a score of 3 is not necessarily a cause for panic. After all, there are substantial rewards to be had in the lead up to recessions (averaging 19% following yield curve inversion). For the brave, staying invested until the score jumps to 4+, or until the S&P500 drops below the 200day MA, will likely yield the best returns.
Notes on use:
- use MONTHLY time period only (the economic metrics are reported monthly)
- If you want to view the risk Score (1-7) you need to set your chart axis to "Logarithmic"
Enjoy and good luck!
Forecasting - Drift MethodIntroduction
Nothing fancy in terms of code, take this post as an educational post where i provide information rather than an useful tool.
Time-Series Forecasting And The Drift Method
In time-series analysis one can use many many forecasting methods, some share similarities but they can all by classified in groups and sub-groups, the drift method is a forecasting method that unlike averages/naive methods does not have a constant (flat) forecast, instead the drift method can increase or decrease over time, this is why its a great method when it comes to forecasting linear trends.
Basically a drift forecast is like a linear extrapolation, first you take the first and last point of your data and draw a line between those points, extend this line into the future and you have a forecast, thats pretty much it.
One of the advantage of this method is first its simplicity, everyone could do it by hand without any mathematical calculations, then its ability to be non-conservative, conservative methods involve methods that fit the data very well such as linear/non-linear regression that best fit a curve to the data using the method of least-squares, those methods take into consideration all the data points, however the drift method only care about the first and last point.
Understanding Bias And Variance
In order to follow with the ability of methods to be non-conservative i want to introduce the concept of bias and variance, which are essentials in time-series analysis and machine learning.
First lets talk about training a model, when forecasting a time-series we can divide our data set in two, the first part being the training set and the second one the testing set. In the training set we fit a model to the training data, for example :
We use 200 data points, we split this set in two sets, the first one is for training which is in blue, and the other one for testing which is in green.
Basically the Bias is related to how well a forecasting model fit the training set, while the variance is related to how well the model fit the testing set. In our case we can see that the drift line does not fit the training set very well, it is then said to have high bias. If we check the testing set :
We can see that it does not fit the testing set very well, so the model is said to have high variance. It can be better to talk of bias and variance when using regression, but i think you get it. This is an important concept in machine learning, you'll often see the term "overfitting" which relate to a model fitting the training set really well, those models have a low to no bias, however when it comes to testing they don't fit well at all, they have high variance.
Conclusion On The Drift Method
The drift method is good at forecasting linear trends, and thats all...you see, when forecasting financial data you need models that are able to capture the complexity of the price structure as well as being robust to noise and outliers, the drift method isn't able to capture such complexity, its not a super smart method, same goes for linear regression. This is why more peoples are switching to more advanced models such a neural networks that can sometimes capture such complexity and return decent results.
So this method might not be the best but if you like lines then here you go.
Forecasting - Quadratic RegressionThis script is written totally thanks to Alex Grover (). Here it is implemented in conjunction with the seasonal forecast I showed in one of my previous posts. It takes the calculated QReg curve and extends its last section (Season) into the future (Forecasted periods).
super trend 50So how this super trend is different?
answer is simple =instead to use the source as close we use modified sma at length of 50 (length of curve)
by this way we can make it to act little different
the rest is just to find best setting for each case
alerts inside
PPO Divergence and Aggregate Signal ComboThis is a further development of the last two posts on aggregated signal generation. It shows how to implement the idea in conjunction with another indicator. In this case general rule for long and short entry: the aggregated curve (gray) must cross the mid-line. Colored columns serve as an early warning. Settings were tested with EURUSD in 5m, 30m and 1H TFs.
True Channel TrendSo I make hybrid using Alex Grover and follow the trend line script
I think it more accurate this way to show channels of trends
The length of the curve set to 100 , you can make it smaller if you want to see smaller channels for analysis
here on daily chart you can see how accurate it show the trend reverse from march to bullish trend
Correlation Matrix by DaveattHi everyone
A co-pinescripter friend told me this was impossible to do and we bet a free dinner tomorrow. Guess who's going to be invited to a very fancy restaurant tomorrow :) :) :) (hint: not him)
What's the today script is about?
This script is based on this MT4 correlation matrix
Asset correlation is a measure of how investments move in relation to one another and when. ... Under what is known as modern portfolio theory, you can reduce the overall risk in an investment portfolio and even boost your overall returns by investing in asset combinations that are not correlated.
I did it because it wasn't existing before with this format. What I discovered was only correlations shown as plot lines... #this #is #not #pretty
How does it work?
The correlation matrix will not be based on the current asset of the chart BUT will be based on the current timeframe (confusing? if yes, read it again until you'll get it)
- Numbers of bars back: numbers of bars used for the correlation calculation
- High correlation level: Correlation upper threshold. If above, then the correlation will be green
- Low correlation level: Correlation lower threshold. If below, then the correlation will be red
If the correlation is between the high and low levels, then it will be displayed in orange
- FOREX/INDEX: You can choose between displaying the correlation matrix between 3 FOREX or 3 INDEX assets
Also...
So far the scale doesn't respond too well to the matrix so you'll have to adapt the scale manually. I'll publish a V2 if I'll find a way to solve this issue from the code directly #new #challenge
A quick final note on why I'm sharing so much?
It challenges me to think out of the norm, get out of my bubble and explore areas of Pinescript that I still don't know. This "a script a day" challenge allows me to speed up my learning curve on Pinescript by a billion factor (and I get a few interesting gigs as well)
Let's bring this indicator to 100 LIKES guys !!!!! I think it deserves it, don't you think? :)
PS
Before all copy/pasters will add a version with crypto tomorrow, don't bother, I already did it and will post it in a few minutes for FREE :p
____________________________________________________________
Be sure to hit the thumbs up as it shows me that I'm not doing this for nothing and will motivate to deliver more quality content in the future.
- I'm an officially approved PineEditor/LUA/MT4 approved mentor on codementor. You can request a coaching with me if you want and I'll teach you how to build kick-ass indicators and strategies
Jump on a 1 to 1 coaching with me
- You can also hire for a custom dev of your indicator/strategy/bot/chrome extension/python
Yield Inversion Curve DifferenceDisplays the yield inversion difference on bonds between short term and long term bonds.
Robust Weighting OscillatorIntroduction
A simple oscillator using a modified lowess architecture, good in term of smoothness and reactivity.
Lowess Regression
Lowess or local regression is a non-parametric (can be used with data not fitting a normal distribution) smoothing method. This method fit a curve to the data using least squares.
In order to have a lowess regression one must use tricube kernel for the weightings w , the weightings are determined using a k-nearest-neighbor model.
lowess is then calculated like so :
Σ (wG(y-a-bx)^2)
Our indicator use G , a , b and remove the square as well as replacing x by y
Conclusion
The oscillator is simple and nothing revolutionary but its still interesting to have new indicators.
Lowess would be a great method to be made on pinescript, i have an estimate but its not that good. Some codes use a simple line equation in order to estimate a lowess smoother, i can describe it as ax + b where a is a smooth oscillator, b some kind of filter defined by lp + bp with lp a smooth low pass filter and bp a bandpass filter, x is a variable dependent of the smoothing span.
Linear Regression Curve - AverageIdea is that the average of price has something to do with sudden changes in trend. Finding trend shifts in mundane.
Trading System(Light)Combo of many useful indicators modified to suit dark theme, contains
1)Regular and Hidden Divergence Buy and Sell signals by scarf
2)Time and Money channels by Lazybear
3)Fibonacci Bollinger Bands by Rashad
4) Linear Regression Curve by ucsgears
Thanks for all the creators for the source codes!
Trading System(Dark)Combo of many useful indicators modified to suit dark theme, contains
1)Regular and Hidden Divergence Buy and Sell signals by scarf
2)Time and Money channels by Lazybear
3)Fibonacci Bollinger Bands by Rashad
4)Linear Regression Curve by ucsgears
Thanks for all the creators for the source codes!
Trading System(Dark)Combo of many useful indicators, contains
1)Regular and Hidden Divergence Buy and Sell signals by scarf
2)Time and Money channels by Lazybear
3)Fibonacci Bollinger Bands by Rashad
4)Linear Regression Curve by ucsgears
Thanks for all the creators for the source codes!
APEX - Bollinger Bands WidthBollinger Bands Width (BBW) is an indicator derived from the Bollinger Bands indicator. BBW are measuring the volatility of an asset. The plotted curve will help you identify high and low volatility areas. Some strategies work only if there is some level of Volatility whereas others not enjoy it. When creating your strategy have a look at numbers between 0.02 – 0.10 (2 to 10 percent on 5m timeframe ) is the most common value. You can also easily avoid big pumps/dumps by using BBW in your strategy.
Hull Moving Averages2 Hull Moving Averages
Alan Hull developed Hull Moving Average in 2005 in his quest to create a moving average that is "responsive to current price activity while maintaining curve smoothness".
Hull claims that his moving average "almost eliminates lag altogether and manages to improve smoothing at the same time".