Polynomial LSMA Estimation - Estimating An LSMA Of Any DegreeIntroduction
It was one of my most requested post, so here you have it, today i present a way to estimate an LSMA of any degree by using a kernel based on a sine wave series, note that this is originally a paper that i posted that you can find here figshare.com , in the paper you will be able to find the frequency response of the filter as well as both python and pinescript code.
The least squares moving average or LSMA is a filter that best fit a polynomial function through the price by using the method of least squares, by default the LSMA best fit a line through the input by using the following formula : ax + b where x is often a linear series 1,2,3...etc and a/b are parameters, the LSMA is made by finding a and b such that their values minimize the sum of squares between the lsma and the input.
Now a LSMA of 2nd degree (quadratic) is in the form of ax^2 + bx + c , although the first order LSMA is not hard to make the 2nd order one is way more heavy in term of codes since we must find optimal values for a , b and c , therefore we may want to find alternatives if the goal is simply data smoothing.
Estimation By Convolution
The LSMA is a FIR filter which posses various characteristics, the impulse response of an LSMA of degree n is a polynomial of the same degree, and its step response is a polynomial of degree n+1, estimating those step response is done by the described sine wave series :
f(x) =>
sum = 0.
b = 0.
pi = atan(1)*4
a = x*x
for i = 1 to d
b := 1/i * sin(x*i*pi)
sum := sum + b
pol = a + iff(d == 0,0,sum)
which is simple the sum of multiple sine waves of different frequency and amplitude + the square of a linear function. We then differentiate this result and apply convolution.
The Indicator
length control the filter period while degree control the degree of the filter, higher degree's create better fit with the input as seen below :
Now lets compare our estimate with actual LSMA's, below a lsma in blue and our estimate in orange of both degree 1 and period 100 :
Below a LSMA of degree 2 (quadratic) and our estimate with degree 2 with both period 100 :
It can be seen that the estimate is doing a pretty decent job.
Now we can't make comparisons with higher degrees of lsma's but thats not a real necessity.
Conclusion
This indicator wasn't intended as a direct estimate of the lsma but it was originally based on the estimation of polynomials using sine wave series, which led to the proposed filter showcased in the article. So i think we can agree that this is not a bad estimate although i could have showcased more statistics but thats to many work, but its not that interesting to use higher degree's anyways so sticking with degree 1, 2 and 3 might be for the best.
Hope you like and thanks for reading !
Cari dalam skrip untuk "wave"
Kite Crossing Oscillator Quick script based on LazyBear's WaveTrend Oscillator , adding multiple time frames to evaluate potential long/short opportunities
Dominant Cycle Tuned RsiIntroduction
Adaptive technical indicators are importants in a non stationary market, the ability to adapt to a situation can boost the efficiency of your strategy. A lot of methods have been proposed to make technical indicators "smarters" , from the use of variable smoothing constant for exponential smoothing to artificial intelligence.
The dominant cycle tuned rsi depend on the dominant cycle period of the market, such method allow the rsi to return accurate peaks and valleys levels. This indicator is an estimation of the cycle finder tuned rsi proposed by Lars von Thienen published in Decoding the Hidden Market Rhythm/Fine-tuning technical indicators using the dominant market vibration/2010 using the cycle measurement method described by John F.Ehlers in Cybernetic Analysis for Stocks and Futures .
The following section is for information purpose only, it can be technical so you can skip directly to the The Indicator section.
Frequency Estimation and Maximum Entropy Spectral Analysis
“Looks like rain,” said Tom precipitously.
Tom would have been a great weather forecaster, but market patterns are more complex than weather ones. The ability to measure dominant cycles in a complex signal is hard, also a method able to estimate it really fast add even more challenge to the task. First lets talk about the term dominant cycle , signals can be decomposed in a sum of various sine waves of different frequencies and amplitudes, the dominant cycle is considered to be the frequency of the sine wave with the highest amplitude. In general the highest frequencies are those who form the trend (often called fundamentals) , so detrending is used to eliminate those frequencies in order to keep only mid/mid - highs ones.
A lot of methods have been introduced but not that many target market price, Lars von Thienen proposed a method relying on the following processing chain :
Lars von Thienen Method = Input -> Filtering and Detrending -> Discrete Fourier Transform of the result -> Selection using Bartels statistical test -> Output
Thienen said that his method is better than the one proposed by Elhers. The method from Elhers called MESA was originally developed to interpret seismographic information. This method in short involve the estimation of the phase using low amount of information which divided by 360 return the frequency. At first sight there are no relations with the Maximum entropy spectral estimation proposed by Burg J.P. (1967). Maximum Entropy Spectral Analysis. Proceedings of 37th Meeting, Society of Exploration Geophysics, Oklahoma City.
You may also notice that these methods are plotted in the time domain where more classic method such as : power spectrum, spectrogram or FFT are not. The method from Elhers is the one used to tune our rsi.
The Indicator
Our indicator use the dominant cycle frequency to calculate the period of the rsi thus producing an adaptive rsi . When our adaptive rsi cross under 70, price might start a downtrend, else when our adaptive rsi crossover 30, price might start an uptrend. The alpha parameter is a parameter set to be always lower than 1 and greater than 0. Lower values of alpha minimize the number of detected peaks/valleys while higher ones increase the number of those. 0.07 for alpha seems like a great parameter but it can sometimes need to be changed.
The adaptive indicator can also detect small top/bottoms of small periods
Of course the indicator is subject to failures
At the end it is totally dependent of the dominant cycle estimation, which is still a rough method subject to uncertainty.
Conclusion
Tuning your indicator is a great way to make it adapt to the market, but its also a complex way to do so and i'm not that convinced about the complexity/result ratio. The version using chart background will be published separately.
Feel free to tune your indicators with the estimator from elhers and see if it provide a great enhancement :)
Thanks for reading !
References
for the calculation of the dominant cycle estimator originally from www.davenewberg.com
Decoding the Hidden Market Rhythm (2010) Lars von Thienen
Ehlers , J. F. 2004 . Cybernetic Analysis for Stocks and Futures: Cutting-Edge DSP Technology to Improve Your Trading . Wiley
EW Counthelp on Vol.Momentum [yoxxx] Here is a second Elliott Wave Count helper of mine, based on volume momentum this time.
I show it with the other one i just published because i suggest to use them together when counting gets rough. I chose AWR
as example cause i find it always somewhat difficult to identify the waves.
(It even took me a while to find 2h as a better frame than 1d.)
See how both helpers work together help to differ between 5 or an higher b of an expanded flat around the start of April 19.
Note: i locked parameters because they are essential.
(All fib numbers btw. , which indicates their relevance for EW.)
Ehlers Simple DecyclerThis indicator was originally developed by John F. Ehlers (Stocks & Commodities, V.33:10 (September, 2015): "Decyclers").
Mr. Ehlers suggested a way to improve trend identification using high-pass filters. The basic smoothers like SMA, low-pass filters, have considerable lag in their display. Mr. Ehlers applied the high-pass filter and subtracted the high-pass filter output from the time series input. Doing these steps he removed high-frequency short-wavelength components (the ones causing the wiggles) from the time series.
As a result he got a special series of the low-frequency components with virtually no lag - the Decycler.
The Decycler is plotted with two additional lines (the percent-shifts of Decycler) and together they form a hysteresis band.
If the prices are above the upper hysteresis line, then the market is in an uptrend . If the prices are below the low hysteresis line, then the market is in a downtrend . Prices within the hysteresis band are trend-neutral .
Crypto USD Pairs CorrelatorHey there!
This tool helps to identify the best positive and negative correlated pairs from 38 crypto */USD pairs.
By default it will find the best correlations for your current ticker.
If you are a newbie in Correlation Analysis you can find a brief explanation here .
Settings
Lookback for correlations (default: 14 )
Option to use or not to use current ticker (default: true )
Custom ticker (default: BTCUSD )
Choose as many pairs as you want from 38 available pairs.
Available pairs
ADAUSD
BATUSD
BCDUSD
BCHUSD
BCNUSD
BNBUSD
BTCUSD
BTGUSD
BTSUSD
DASHUSD
DCRUSD
DGBUSD
DOGEUSD
EOSUSD
ETCUSD
ETHUSD
ICXUSD
IOTAUSD
LSKUSD
LTCUSD
MKRUSD
NANOUSD
NEOUSD
OMGUSD
ONTUSD
PAXUSD
QTMUSD
TRXUSD
VETUSD
WAVESUSD
XEMUSD
XLMUSD
XMRUSD
XRPUSD
XTZUSD
ZECUSD
ZILUSD
ZRXUSD
How to get access
You can buy this tool for 49$ to get lifetime access
Good luck!
Simple TrenderOriginates from:
I was reading some Impulse Trading literature by A. Elder.. In it, someone named Kerry Lovvorn proposed "An End of Day Trend Following System" for someone lazy.
Originally it is just price closing above an 8 ema (low) for long. Exit when price closes below an 8 ema (low). The opposite for a short position.
Conditions: Buy when price closed below ema (low) for two bars or more, then closes above. Opposite for a short position. I do not follow this condition. Though it may help with whipsaw.
My condition is when price closes above the 26 ema (low) (works the best for me) I place orders above the initial crossing bars high. Opposite for lows.
I look for stocks that are low in price to go long on. I want the run from 2's to 15's
I look for stocks that are mid-teens/20's in price to go short on. I want the run from 20's to 2's
I look for stock with news and earnings that are already running (up or down) to play the pullback.
These conditions can easily be scanned for on thinkorswim
From first glance, the system looks like CMsling shotsystem. Although, I plagiarized some parts of the codes, because I am inept when it comes to that shit, it differs as it is not a moving average crossover system.
It is a price crossing over concept. A moving average VWAP is used for best entries on pullbacks.
Purpose:
--To catch the majority of a trend/wave/run.
--To identify pullback areas to go long or short while in midst of trend. To catch pullbacks off news and earning runners.
--To catch the initial start of trend with clear rules to enter
--Clear rules to exit
Issues
--possibilities of getting ninja sliced the fuck up. Can be mitigated by entering stocks with decent average volume. And also only going long above 200 ema and short below it. ADX won't work, at the initial start of the trend it will show not trending. Can look at blow off volume at the bottom followed by increase in buying for long and vice versa for short.
--Can give some huge gains away through gap ups or gap downs from news or earnings during trend. However, can get huge gain on gaps from news or earning. Nature of the game.
--Need some brass balls and a supply of pepto to stomach through some of the pullbacks. Gut wrenching seeing big gains dwindle. But they all even out at the end, you hope. (see NBEV and IGC, and CRON and others. shit don't go in straight lines, homie)
Pros
--It's simple and easy. Overall, you profit
--works with any security
Cons
--It can be stressful.
--does not work well on lower time frames. Do not recommend going below 15 minutes
--Possibility of working on 5 minutes with a time frame breakout strategy (15,30 min).
Couple it with LazyBear "Weis Wave Volume" indicator. Works well for pullback entries.
Enjoy. Ride some waves.
Bull Bear Trend Anlysis Signals by ActualEquationThis indicator analyzes the trend utilizing MACD and other math algorithms to find confirmed entries and exits.
How To Use
Best used on TF larger than 1 hour for highest accuracy.
The higher the wave the stronger the trend.
For entries, wait for the wave to rise then enter after a color flip.
Once flipped, you can look for entries at a smaller time frame to narrow down your buy price.
For shorts, wait for confirmation of color flip with initial red wave down.
BOUNCE PLAYS:
1. Find Divergences via the height of the wave.
2. The more stretched from 0 the stronger the strength.
3. If second drop/rise is less than first, then divergence is present, look for entry.
4. Zoom in to the hourly charts to find initial bounces, then zoom into 5 minutes to look for setups.
NOTE: all signals strength are based off the charts macro strength and most are delayed. If the signal is too high, then it should be the time to close position soon.
TPA_BINANCE_(2/2)TPA SCORE_ All listed coins on binance (2/2)
또땃 스코어 바이낸스모든코인(2/2)
------------------------------------------------------------------------------
This indicator is designed to find coins that are strong in market conditions.
It is recommended that users have an understanding of basic charts.
Careful investment is needed after the trend of the score itself has been on the downward trend.
Coins usually give the strongest return that run at the top of the score.
The realization of the profit on the chart must be done by the person himself.
When purchasing coins at the top of the score chart, we recommend the number of sheets at the adjustment point on the chart.
Because this index is a trend score, you may not be able to catch the start wave. To do this, use a starting wave catcher.
The coins listed in this index are coins of the highest rank in order of trading volume and will be updated at regular intervals.
At last year's rise of coin, it is based on catching light coin, Qtum, ripple, Ada , Stella, Tron rise.
Indicator vouchers will only be available to a small number of paid subscribers.
Thank you.
---------------------------------------------------------------------------------------------
이 지표는 시장 상황에서 강세를 띠는 코인을 찾아내기 위해 만들어 졌습니다.
기본적인 차트에 대한 이해가 있는 사용자가 사용하길 권합니다.
스코어자체의 추세가 하향을 한 이후는 신중한 투자가 필요합니다.
통상 가장 강한 수익을 주는 코인이 스코어 최상단을 달립니다.
차트상의 수익실현은 본인이 직접 수행해야 합니다.
통상 스타팅 파동을 잡아내는 스타팅 파동 캐쳐와 함께 사용합니다.
스코어차트상 최상단의 코인을 매수 할 시 차트상 조정지점에서 매수를 권합니다.
본 지표는 트렌드 점수 이기 때문에 시작 파동을 잡아내지 못할 수 있습니다.
이를 위해선 스타팅웨이브 캐쳐를 함께 사용합니다.
작년 코인상승장에서, 라이트코인,Qtum,리플,에이다,스텔라,트론 상승을 잡아낸 기반지표 입니다.
지표 이용권은 소수의 유료 구독 사용자들에게만 공개될 예정입니다.
감사합니다.
TPA_BINANCE_(1/2)TPA SCORE_ All listed coins on binance (1/2)
또땃 스코어 바이낸스모든코인(1/2)
------------------------------------------------------------------------------
This indicator is designed to find coins that are strong in market conditions.
It is recommended that users have an understanding of basic charts.
Careful investment is needed after the trend of the score itself has been on the downward trend.
Coins usually give the strongest return that run at the top of the score.
The realization of the profit on the chart must be done by the person himself.
When purchasing coins at the top of the score chart, we recommend the number of sheets at the adjustment point on the chart.
Because this index is a trend score, you may not be able to catch the start wave. To do this, use a starting wave catcher.
The coins listed in this index are coins of the highest rank in order of trading volume and will be updated at regular intervals.
At last year's rise of coin, it is based on catching light coin, Qtum, ripple, Ada , Stella, Tron rise.
Indicator vouchers will only be available to a small number of paid subscribers.
Thank you.
---------------------------------------------------------------------------------------------
이 지표는 시장 상황에서 강세를 띠는 코인을 찾아내기 위해 만들어 졌습니다.
기본적인 차트에 대한 이해가 있는 사용자가 사용하길 권합니다.
스코어자체의 추세가 하향을 한 이후는 신중한 투자가 필요합니다.
통상 가장 강한 수익을 주는 코인이 스코어 최상단을 달립니다.
차트상의 수익실현은 본인이 직접 수행해야 합니다.
통상 스타팅 파동을 잡아내는 스타팅 파동 캐쳐와 함께 사용합니다.
스코어차트상 최상단의 코인을 매수 할 시 차트상 조정지점에서 매수를 권합니다.
본 지표는 트렌드 점수 이기 때문에 시작 파동을 잡아내지 못할 수 있습니다.
이를 위해선 스타팅웨이브 캐쳐를 함께 사용합니다.
작년 코인상승장에서, 라이트코인,Qtum,리플,에이다,스텔라,트론 상승을 잡아낸 기반지표 입니다.
지표 이용권은 소수의 유료 구독 사용자들에게만 공개될 예정입니다.
감사합니다.
Godmode RSIbased on the popular Godmode Indicator with modifications by LEGION, LAZYBEAR, Ni6HTH4wK, xSilas, oh92, sco77m4r7in
All Credit belongs to them. THX Guys!
This is a Combination of a RSI and Godmode.
RSI has a Simple or Exponential Moving Average, Histogram Color Changes when the RSI reaches the Overbought/Oversold Zones.
Godmode is basicly the same as the Original one only scaled down a bit with slightly adjusted Caution Signal Zones which i like more. I also added the Option to adjust the Length of the 2nd Wavetrend SMA. Removed the Wavetrend Area because it doesnt have any use for me.
Hope you like it.
TAKE PROFIT AGAIN SCORE[CATCHER](TPA)_MARKETCAP또땃 스코어 보조용 스타팅 파동 감지지표 시가총액 ver
TAKE PROFIT AGAIN SCORE (TPA)_MARKETCAP
------------------------------------------------------------------------------
This indicator was created to complement "Take Profit Again Trend Score (Crpto Catcher) _Marketcap".
Take Profit Again Trend Score(Crpto Catcher)_Marketcap
It is aimed to start or stop the decline in value and detect the beginning of the wave.
The coin that goes up the river of score wave is likely to give a good performance.
The TPA Trend Score indicator is a good indicator of the adequacy of a sell-off.
If the starting score is negative even though the TPA score is the highest, you have to set and hold a loss cut on the chart or chart.
---------------------------------------------------------------------------------------------
이 지표는 "Take Profit Again Trend Score(Crpto Catcher)_marketcap"를 보완하기 위해 만들어졌습니다.
시작하거나 대세가치하락에서 견뎌내고 파동시작을 감지하는 목적입니다.
점수 파동의 강물을 거슬러 올라가는 코인이 좋은 성과를 줄 확률이 높습니다.
TPA Trend Score 지표와 함께 매수매도의 적절성을 판단하기에 좋습니다.
TPA스코어가 가장 높더라도 Starting 스코어가 음수로 가게 된다면 매도 내지는 차트상 로스컷을 정하고 홀딩해야합니다.
TAKE PROFIT AGAIN SCORE(TPA)_MARKETCAP verTAKE PROFIT AGAIN SCORE(TPA)_MARKETCAP
또땃 스코어 상위시총 ver
------------------------------------------------------------------------------
This indicator is designed to find coins that are strong in market conditions.
It is recommended that users have an understanding of basic charts.
Careful investment is needed after the trend of the score itself has been on the downward trend.
Coins usually give the strongest return that run at the top of the score.
The realization of the profit on the chart must be done by the person himself.
When purchasing coins at the top of the score chart, we recommend the number of sheets at the adjustment point on the chart.
Because this index is a trend score, you may not be able to catch the start wave. To do this, use a starting wave catcher.
The coins listed in this index are coins of the highest rank in order of Market Cap and will be updated at regular intervals.
At last year's rise of coin, it is based on catching light coin, Qtum, ripple, Ada , Stella, Tron rise.
Indicator vouchers will only be available to a small number of paid subscribers.
Thank you.
---------------------------------------------------------------------------------------------
이 지표는 시장 상황에서 강세를 띠는 코인을 찾아내기 위해 만들어 졌습니다.
기본적인 차트에 대한 이해가 있는 사용자가 사용하길 권합니다.
스코어자체의 추세가 하향을 한 이후는 신중한 투자가 필요합니다.
통상 가장 강한 수익을 주는 코인이 스코어 최상단을 달립니다.
차트상의 수익실현은 본인이 직접 수행해야 합니다.
통상 스타팅 파동을 잡아내는 스타팅 파동 캐쳐와 함께 사용합니다.
스코어차트상 최상단의 코인을 매수 할 시 차트상 조정지점에서 매수를 권합니다.
본 지표는 트렌드 점수 이기 때문에 시작 파동을 잡아내지 못할 수 있습니다.
이를 위해선 스타팅웨이브 캐쳐를 함께 사용합니다.
본 지표에 나와있는 코인들은 마켓 캡으로 상위등급의 코인들이며 일정 간격으로 업데이트 될 것입니다.
작년 코인상승장에서, 라이트코인,Qtum,리플,에이다,스텔라,트론 상승을 잡아낸 기반지표 입니다.
지표 이용권은 소수의 유료 구독 사용자들에게만 공개될 예정입니다.
감사합니다.
추가적으로 시장 싸이클 상에서 바닥 이후 가장 효과를 발휘하는 지표입니다.
마켓캡 상위 코인들에 대한 지표적용을 함으로 단발펌핑물림이나, 안정성을 떠난 매매에서 당신을 보호할 수 있습니다.
Take Profit Again Trend Score(Crpto Catcher)_BinanceTPA SCORE_BINANCE ver
또땃 스코어 바이낸스 ver
------------------------------------------------------------------------------
This indicator is designed to find coins that are strong in market conditions.
It is recommended that users have an understanding of basic charts.
Careful investment is needed after the trend of the score itself has been on the downward trend.
Coins usually give the strongest return that run at the top of the score.
The realization of the profit on the chart must be done by the person himself.
When purchasing coins at the top of the score chart, we recommend the number of sheets at the adjustment point on the chart.
Because this index is a trend score, you may not be able to catch the start wave. To do this, use a starting wave catcher.
The coins listed in this index are coins of the highest rank in order of trading volume and will be updated at regular intervals.
At last year's rise of coin, it is based on catching light coin, Qtum, ripple, Ada, Stella, Tron rise.
Indicator vouchers will only be available to a small number of paid subscribers.
Thank you.
---------------------------------------------------------------------------------------------
이 지표는 시장 상황에서 강세를 띠는 코인을 찾아내기 위해 만들어 졌습니다.
기본적인 차트에 대한 이해가 있는 사용자가 사용하길 권합니다.
스코어자체의 추세가 하향을 한 이후는 신중한 투자가 필요합니다.
통상 가장 강한 수익을 주는 코인이 스코어 최상단을 달립니다.
차트상의 수익실현은 본인이 직접 수행해야 합니다.
통상 스타팅 파동을 잡아내는 스타팅 파동 캐쳐와 함께 사용합니다.
스코어차트상 최상단의 코인을 매수 할 시 차트상 조정지점에서 매수를 권합니다.
본 지표는 트렌드 점수 이기 때문에 시작 파동을 잡아내지 못할 수 있습니다.
이를 위해선 스타팅웨이브 캐쳐를 함께 사용합니다.
본 지표에 나와있는 코인들은 거래량순으로 상위등급의 코인들이며 일정 간격으로 업데이트 될 것입니다.
작년 코인상승장에서, 라이트코인,Qtum,리플,에이다,스텔라,트론 상승을 잡아낸 기반지표 입니다.
지표 이용권은 소수의 유료 구독 사용자들에게만 공개될 예정입니다.
감사합니다.
BE-EMA(12,26) (Blue Empire Exponential Moving Average)
Simple EMA where you get a CROSS mark between EMA 12 and EMA 26.
Each time a cross happens, a spot gets created.
If it's cyan, it goes up.
If it's magenta, it goes down.
I'm studying Trading at Blue Empire Academy, if you want to know more send me a PM.
Wave Analysis study the wave's behavior and tries to predict by using trendlines, elliot waves, fibonacci retracements, and EMAs basically.
In this Indicator, It's a confirmation when EMA 12 goes over to confirm the price may go up. and Vice versa.
Hope you like, please share if you think it's useful and comment if you think this can be better.
Thank you again for reading
>> This is just an indicator, it doesn't predict the future. Use it at your own risk. <<
##########
All the credits to @tracks, a genius who helped me polish the code. :] thank you.
Periodic ChannelThis indicator try to create a channel by summing a re-scaled and readapted sinusoidal wave form to the price mean.
The length parameter control the speed of the sinusoidal wave form, this parameter is not converted to a sine wave period for allowing a better estimation, higher length's work better but feel free to try shorter periods.
The invert parameter invert the sinusoidal wave.
Each bands represent possible return points, the higher the band the higher the probability.
Inverted sin wave exemple
The performance of the indicator is subjective to the main estimation (blue line), select the parameter that best fit the blue line to the price.
Best ragards
Crimson/Grover Sine CycleThere is plenty of indicators trying to show cycles in price, the majority of them create a stationary version of the price and then smooth it, the Crimson/Grover cycle use as source a pure sine wave of period crimson and then use a best fit line with y = price and x = sine wave.Some final transformations are mades for highlights the cycle of the price.
The length parameter control the regression period and the crimson parameter the period of the sine cycle.If the length is higher than the crimson period then the indicator is more smoother but give more liberty to the sine wave.
The period of sine wave is equal to period/(2*3.14) .
A sine wave of period 100
For any questions regarding the indicator please contact me :)
CryptoVN_WaveTrendMod version from Indicator: WaveTrend Oscillator by @LazyBear
About this mod version:
- WaveTrend: both Fast and Slow
- Histogram: change color when the signal Above or Below the Zero Line.
- Show Dots at Cross the signal
- ...
A few notes about the signal:
*Below the Oversold band (Buy zone):fema crosses UP the fsma ==> good BUY signal.
*Above the Overbought band (Sell zone):fema crosses DOWN the fsma ==> good SELL signal.
* ...
MonsterSpeedA parameter-free self-adjusting wave oscillator. The presentation is slightly unusual (both red and green parts are on the same side), but this makes buy/sell waves more easily visible. It is best used when one side of the market becomes weaker than the other and then ride the market waves in one direction until the bull/bear force evens out again. This indicator enables easy visual comparison between buy and sell side at at point in time.
rem sim v0.1every alt-coin has similarity.
cause of bitcoin.
always i want to delete that similarity and read the true(?) value of each coin.
and i made some script for that, but not good enough.
this one is different.
Rem Sim (rs) removes the similarity very effectively.
it make avg WaveTrend from nxt, strat, steem, ...
and that is the similarity
and it show true(?) WaveTrend without similarity.
so if the alt-coin move like other alt-coin, the WT almost 0.
sorry my bad english.
if you dont understand my english. just look at that chart.
also you can see source code.
--------
대부분의 알트가 어느정도 비슷한 차트를 가지는데, 그 유사성을 제거하면 어떤 모양인지 궁금해서 만들었어요.
전에 만들었던 비트코인의 영향력을 제거해주는 아이디어는 실제론 별 효용이 없는데 이건 좀 쓸만해보이네요.
웨이브트렌드의 모양으로 보여줍니다.
FLD - Future Lines of Demarcation Strategy An FLD is a line that is plotted on the same scale as the price and is in fact the
price itself displaced to the right (into the future) by (approximately) half the
wavelength of the cycle for which the FLD is plotted. There are three FLD's that can be
plotted for each cycle:
An FLD based on the median price.
An FLD based on the high price.
An FLD based on the low price.
FLD's - Future Lines of Demarcation An FLD is a line that is plotted on the same scale as the price and is in fact the
price itself displaced to the right (into the future) by (approximately) half the
wavelength of the cycle for which the FLD is plotted. There are three FLD's that can be
plotted for each cycle:
An FLD based on the median price.
An FLD based on the high price.
An FLD based on the low price.