Edge-Preserving FilterIntroduction
Edge-preserving smoothing is often used in image processing in order to preserve edge information while filtering the remaining signal. I introduce two concepts in this indicator, edge preservation and an adaptive cumulative average allowing for fast edge-signal transition with period increase over time. This filter have nothing to do with classic filters for image processing, those filters use kernels convolution and are most of the time in a spatial domain.
Edge Detection Method
We want to minimize smoothing when an edge is detected, so our first goal is to detect an edge. An edge will be considered as being a peak or a valley, if you recall there is one of my indicator who aim to detect peaks and valley (reference at the bottom of the post) , since this estimation return binary outputs we will use it to tell our filter when to stop filtering.
Filtering Increase By Using Multi Steps Cumulative Average
The edge detection is a binary output, using a exponential smoothing could be possible and certainly more efficient but i wanted instead to try using a cumulative average approach because it smooth more and is a bit more original to use an adaptive architecture using something else than exponential averaging. A cumulative average is defined as the sum of the price and the previous value of the cumulative average and then this result is divided by n with n = number of data points. You could say that a cumulative average is a moving average with a linear increasing period.
So lets call CMA our cumulative average and n our divisor. When an edge is detected CMA = close price and n = 1 , else n is equal to previous n+1 and the CMA act as a normal cumulative average by summing its previous values with the price and dividing the sum by n until a new edge is detected, so there is a "no filtering state" and a "filtering state" with linear period increase transition, this is why its multi-steps.
The Filter
The filter have two parameters, a length parameter and a smooth parameter, length refer to the edge detection sensitivity, small values will detect short terms edges while higher values will detect more long terms edges. Smooth is directly related to the edge detection method, high values of smooth can avoid the detection of some edges.
smooth = 200
smooth = 50
smooth = 3
Conclusion
Preserving the price edges can be useful when it come to allow for reactivity during important price points, such filter can help with moving average crossover methods or can be used as a source for other indicators making those directly dependent of the edge detection.
Rsi with a period of 200 and our filter as source, will cross triggers line when an edge is detected
Feel free to share suggestions ! Thanks for reading !
References
Peak/Valley estimator used for the detection of edges in price.
Cerca negli script per "200亿美元是多少人民币"
Multiple EMAMultiple EMA. Color switch of slowest EMA (def=200) when price close below or above. Trend marker when fastest EMA (def=9) cross slowest EMA (def=200).
FX Sniper: T3-CCI Strategy with OB/OS guidesThis is a simple addition to Hpotters T3 CCI that has dashed guide lines at the 200 and -200 level to indicate overbought / oversold conditions.
Multi SMAPlot all of the most important SMA values.
SMA 5, 8, 13 are based on Fibonaci values and frequently used in day trading frequently.
SMA 50, 100, 200 are important support/resistance lines.
Especially, SMA 50, 100, 200 are the most important support/resistance on BTC 1W. Dont forget to look at the weekly prices when trading :)
4 Major Moving Averages All Time FramesThis script incluse the 100 Daily SMA, 200 Daily SMA, 100 Weekly SMA, and the 200 Weekly SMA. They stay the same no matter the timeframe used.
Supertrend FilterA derivation of the famous SuperTrend indicator.
My motivation for such indicator was to use more recursion in the original SuperTrend code, this work was made quite fast but feel free to modify it, as always my work is more for inspirational use than anything else so i hope it will inspire you to get more involved with the SuperTrend code or to start coding with Pine.
The indicator no longer act as a trailing-stop but more like a filter, this is due to the fact that the indicator conditions are swapped and that the output is reused many times in the calculation.
Parameters change as well and involve particular gestion. The Factor Parameter is no longer an integer but decimals such that 0 < Factor < 1 .
When the Period is high the indicator tend to become less linear/static and look more like a classic moving average.So it is important to have higher Factor values when the Period is high and reciprocally.Here a table to help you with parameters settings :
for Period = 1 to 50 Factor = 0.5
for Period = 50 to 100 Factor = 0.6
for Period = 100 to 150 Factor = 0.7
for Period = 150 to 200 Factor = 0.8
for Period = 200 to 300 Factor = 0.9
There could be a formula to scale the Factor depending on the Period but there would be no proof that the scaling method used is optimal.
Hope you enjoy
For any questions/demands feel free to pm me, i would be happy to help you
5 Moving Average (Simple / Exponential)Defaults to 1 SMA with 4 EMA bands. 200 SMA is intended to show the trend; 20,40 and 55 EMA show entries; 81 EMA is used as stop/take profit. Defaults are inspired by 'Eric Choe' but you can switch between EMA and SMA as per your own preference. Philakone uses all 5 as EMA 8, 13, 21, 55, 200
MA ZonesThis simple indicator paints the zone between up to 3 different Moving Averages and Exponential Moving Averages.
For example:
The green zone is the price between the 50 EMA and the 50 MA .
The orange zone is the price between the 100 EMA and the 100 MA .
The red zone is the price between the 200 EMA and the 200 MA .
Buy/Sell Strategy Traderspro 21EMA/200SMA & PivotsBuy Signal: If price closes over EMA 21 and SMA 200 and over Montly and weekly pivots.
Sell Signal: If price closes below EMA 21 and SMA 200 and below Montly and weekly pivots.
Use buystops sellstops over signal bar close
For EURUSD Daily Timeframe works better. Check other pairs to see which timeframe has better profits. I apreciate your comments
Triple Standard Deviation＝＝日本語説明も併記 // Japanese discription is following ＝＝
■ Momentum Indicator (Triple Indication of Standard Deviation Volatilities)
■ Effective assets: All
■Example of utilization
1) Assume that a trend is generated at the timing when the yellow area chart (26) rises
2) Confirm the candlestick and if the price jumps out of the Bollinger band ± 1 σ, the trend toward that direction
3) If the closing price is confirmed within ± 1σ of the Bollinger band, close the position
■ Detailed explanation
Three standard deviation volatilities with different parameters are displayed at the same time. As represented by convergence divergence of Bollinger, it has a characteristic that it rises in the trend generation period and falls during the trend convergence period.
It develops color in a rising phase so that trend generation is easy to recognize, and fades in a falling phase.
Daily use is basic, but you can use it with the same parameters for other time feet.
The basic parameter (26) is displayed in yellow area for the most visibility.
The long-term parameter (52) is indicated by a yellow dot as an auxiliary element for judging the rising margin of the basic line.
The short-term parameter (13) is displayed as a line as an auxiliary element for recognizing the peak out of the basic line in advance.
In some cases, by changing short term (13) to super long term (100) you can recognize the major market price level once in several years.
Three periods The phrase "all lines" goes from "low position" to "rising together" is considered the strongest trend.
On the other hand, in the case where the short-term line rises backwards as the longer-term line goes down, it tends to end up with short-lived trends and failure to form trends.
If the trend speed is constant as a standard feature of calculating the standard deviation, the standard deviation may decrease even during trend continuation. Therefore, it is desirable to make a comprehensive judgment by comparing the shape of candlestick with the longer-term line.
Please note that there is no way to judge whether the trend suggested by this index rises or falls from this index, so it is necessary to confirm the main chart. (It is preferable to display parabolic or Bollinger band)
■ Remarks
It is an index created assuming that it is used as Triple STD-ADX in combination with Triple Smoothed ADX（to be posted later）.
■ About Triple STD-ADX
Triple Standard Deviation "and" Triple Smoothed ADX "are superimposed and displayed as" Screen (without scale) "to function as" Triple STD - ADX ".
The method of utilization is the same as Triple Standard Deviation and Triple Smoothed ADX, but by simultaneously displaying two momentum indicators with different calculation approaches with multiple parameters, we aim to mutually complement the cognitive power of trends.
STD (13, 26, 52, 100, 200) and ADX (7, 14, 26, 52, 100) correspond to reaction rates respectively.
By choosing different reaction rates you can expect to further increase reliability.
You can estimate the reliability of the trend most reliably in a situation where all six signals in total rise from low to high.
■Sample: STD-ADX Trade Signal
========================================================
■ モメンタム指標（標準偏差ボラティリティの3連表示）
■ 有効アセット：すべて
■ 活用の一例
１）黄色のエリアチャート（26）が上昇したタイミングでトレンド発生を想定
２）ローソク足を確認し、ボリンジャーバンド±1σの外に価格が飛び出している場合はその方向へのトレンドと認識
３）ボリンジャーバンド±1σ以内で終値が確定した場合にはポジションクローズ
■ 詳細説明
パラメーターの異なる３つの標準偏差ボラティリティを同時に表示します。ボリンジャーの収束発散に代表されるように、トレンド発生期に上昇しトレンド収束期に低下する特性を持ちます。
トレンド発生を認識しやすいように上昇局面で発色し、下降局面で退色します。
活用は日足が基本ですが、他の時間足に対しても同一パラメーターで使用することができます。
基本パラメーター（26）は最も視認しやすいように黄色のエリア表示にしています。
長期パラメーター（52）は基本線の上昇余力を判断するための補助要素として黄色の丸点で表示しています。
短期パラメーター（13）は基本線のピークアウトを先行して認識するための補助要素としてラインで表示にしています。
場合によって、短期(13)を超長期（100）に変更することで数年に一度のレベルの大相場が認識できます。
3期間「全てのライン」が「低い位置」から「揃って上昇」する局面を最も強いトレンドと考えます。
一方、より長期のラインが低下する中、より短期のラインが逆行して上昇するケースでは、短命のトレンドやトレンド形成失敗に終わることが多くなります。
標準偏差の計算上の特徴としてトレンドの速度が一定の場合にトレンド継続中も標準偏差が低下することがあります。そのため、ローソク足の形状とより長期のラインを見比べて総合的に判断することが望ましいです。
なお、本指標が示唆するトレンドが上昇か下降かは本指標からは判断する術はないため、必ずメインチャートを確認する必要があります。（パラボリックやボリンジャーバンドを表示すると好適）
■備考
追って掲載するTriple Smoothed ADXと併用して、Triple STD-ADXとして使用することを想定して作成した指標です。
■Triple STD-ADXについて
「Triple Standard Deviation」と「Triple Smoothed ADX」を一方を「スクリーン（スケールなし）」として重ねて表示させることで「Triple STD-ADX」として機能します。
活用方法はTriple Standard DeviationやTriple Smoothed ADXと同じですが、算出アプローチの異なる２つのモメンタム指標を複数パラメーターで同時に表示させることで、トレンドの認識力を相互に補完する狙いがあります。
反応速度はそれぞれSTD（13,26,52,100,200)とADX（7,14,26,52,100)がほぼ対応します。
異なる反応速度を選択することで信頼度をさらに高めることを期待できます。
合計6本のシグナル全てが低い位置から揃って上昇する局面でトレンドの信頼性を最も高く見積もることができます。
Multiple Moving Averages A&GMultiple Moving Averages A&G in an indicator
1.- ema 4
2.- ema 9
3.- ema 18
4.- ma 200
5.- ma 200
everything is customizable!!
ENJOY
By: AlexVille
CCI OBV 4Kmod of lazy bear's OBV coded CCI , which indicates CCI state by changing the color of the OBV. now it shows you when CCI is overbought or oversold, not just one or the other
when CCI > 100, that's an oversold signal and OBV line turns green
when CCO -0.54% < -100, that's an undersold signal and OBV line turns red
CCI threshold can be changed (ex. 200 and -200)
EMA is overlaid, too, in orange, and that period can be changed
Taint's Multi Time Frame MA50-100-200 SMA with two 200 EMA's all with the ability choose a time frame for each.
BUY STRENGTH SELL WEAKNESS REMADE COPYSuggestions and ideas appreciated...
This was just a simple idea I had with the RSI.
I would like to add a filter.. example:
Only to go long when RSI is overbought AND price above 200 ema
Viceversa for short, when oversold and price below 200 ema.
Is there anyone out there who can help ??
GoldenCross by PuffyThis is a simple trading strategy that seeks the Golden Cross and Death Cross on the 4HR chart. The fast moving indicator in this strategy is the EMA 50 and the slow moving indicator is the EMA 200. When the EMA 50 crosses over the EMA 200 the strategy indicates a buy. When the EMA 50 crosses below the EMA 200 the strategy indicates a sell. This strategy averages trades in the 40 - 50 day range and as such should not be used with heavy leverage.
Moving Average Exponential x 4I get tired of using multiple EMAs to overlay the ones I use most commonly (the 50/100/200). This tool adds four EMAs in one indicator (50/100/200/400) by default, and they can be adjusted any way you like, just like the normal EMA tool.
Simple MA Colors ribbonSpecifically made for $BTC. The price seems to range between SMA so I have made this script for ease of use.
I use it on the hourly chart then use it to display increments of 50 and 200 SMA across different timeframes.
Pink lines show the 50 and 200 SMA.
Mayer Multiple Buy PriceFollowing Preston Pysh's "Bitcoin Mayer Multiple" study, I made this simple script to plot the recommended buy price based on the calculated 2.4x ratio between bitcoin price and its 200-day moving average. The ratio and SMA length have default values of 2.4 and 200 and can be adjusted.
Simple and Exponential Moving AveragesThis script graphs 5 SMAs (20, 50, 100, 150, 200) and 5 EMAs (20, 50, 100, 150, 200). The first group uses blue and orange colors whereas the second one uses green and red. When a bar closes below a moving average, either orange or red will be used depending on which type of moving average and which period. In bullish mode, we show blue and green. Moving average periods are configurable, and you can hide the MAs you don't want.
Seven Exponential Moving Averages
By default, this script shows 7 different EMAs set to 5, 10, 20, 50, 100, 150, 200 intervals. If a bar closes below one of these EMAs, the respective EMA will turn red otherwise it will be green. 50 and 200 EMAs have double the linewidth of others.
