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5 MAs w. alerts [LucF]Is this gazillionth MA indicator worth an addition to the already crowded field of contenders? I say yes! This one shows up to 5 MAs and 6 different marker conditions that can be used to create alerts, among many other goodies. Features MAs can be darkened when they are falling. MAs from another time frame can be displayed, with the option of smoothing them. Markers can be filtered to Longs or Shorts only. EMAs can be selected for either all or the two shortest MAs. The background can be colored using any of the marker states except no. 3. Markers are: 1. On crosses between any two user-defined MAs, 2. When price is above or below an MA, 3. On Quick Flips (a specific setup involving a cross, multiple MA states and increasing volume, when available), 4. When the difference between two MAs is within a % of its high/low historic values, 5. When an MA has been rising/falling for n bars, 6. When the difference between two MAs is greater than a multiple of ATR. Some markers use similar visual cues, so distinguishing them will be a challenge if they are used concurrently. Alerts Alerts can be created on any combination of alerts. Only non-consecutive instances of markers 5 and 6 will trigger the alert condition. Make sure you are on the interval you want the alert to run at. Using the “Once Per Bar Close” trigger condition is usually the best option. When an alert is created in TradingView, a snapshot of the indicator’s settings is saved with the alert, which then takes on a life of its own. That is why even though there is only one alert to choose from when you bring up the alert creation dialog box and choose “5 MAs”, that alert can be triggered from any number of conditions. You select those conditions by activating the markers you want the alert to trigger on before creating the alert. If you have selected multiple conditions, then it can be a good idea to record a reminder in the alert’s message field. When the alert triggers, you will need the indicator on the chart to figure out which one of your conditions triggered the alert, as there is currently no way to dynamically change the alert’s message field from within the script. Background settings will not trigger alerts; only marker configurations. Notes MAs are just… averages. Trader lure would have them act as support and resistance levels. I’m not sure about that, and not the only one thinking along these lines. Adam Grimes has studied moving averages in quite a bit of detail. His numbers point to no evidence indicating they act as support/resistance, and to specific MA lengths not being more meaningful than others. His point of view is debated by some—not by me. Mean reversion does not entail that price stops when it reaches its MA; rather, it makes sense to me that price would often more or less oscillate around its MA, which entails the MA does not act as support/resistance. Aren’t the best mean reversion opportunities when price is furthest away from its MA? If so, it should be more profitable to identify these areas, which some of this indicator’s markers try to do. I think MAs can be much more powerful when thought of as instruments we can use to situate price events in contexts of various resolutions, from the instantaneous to the big picture. Accordingly, I use the relative positions and slopes of MAs in both discretionary and automated trading; but never their purported ability to support/resist. Regardless of how you use MAs, I hope you will find this indicator useful. Biased References The Art and Science of Technical Analysis: Market Structure, Price Action, and Trading Strategies, Adam Grimes, 2012. Does the 200 day moving average “work”? Moving averages: digging deeper
Pine Script® 인디케이터
LucF의
22
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.
Pine Script® 인디케이터
alexgrover의
18
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
Pine Script® 인디케이터
alexgrover의
14
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。
Pine Script® 인디케이터
Market_wolf의
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.
Pine Script™ 전략
Puffy23의
6