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taLibrary "ta" █  OVERVIEW This library holds technical ​analysis functions calculating values for which no Pine built-in exists. Look first. Then leap. █  FUNCTIONS cagr(entryTime, entryPrice, exitTime, exitPrice) It calculates the "Compound Annual Growth Rate" between two points in time. The ​CAGR is a notional, annualized growth rate that assumes all profits are reinvested. It only takes into account the prices of the two end points — not drawdowns, so it does not calculate risk. It can be used as a yardstick to compare the performance of two instruments. Because it annualizes values, the function requires a minimum of one day between the two end points (annualizing returns over smaller periods of times doesn't produce very meaningful figures).   Parameters:      entryTime : The starting timestamp.      entryPrice : The starting point's price.      exitTime : The ending timestamp.      exitPrice : The ending point's price.   Returns: ​CAGR in % (50 is 50%). Returns `na` if there is not >=1D between `entryTime` and `exitTime`, or until the two time points have not been reached by the script. █  v2, Mar. 8, 2022 Added functions `allTimeHigh()` and `allTimeLow()` to find the highest or lowest value of a source from the first historical bar to the current bar. These functions will not look ahead; they will only return new highs/lows on the bar where they occur. allTimeHigh(​src) Tracks the highest value of `src` from the first historical bar to the current bar.   Parameters:      src : (series int/float) Series to track. Optional. The default is `high`.   Returns: (float) The highest value tracked. allTimeLow(​src) Tracks the lowest value of `src` from the first historical bar to the current bar.   Parameters:      src : (series int/float) Series to track. Optional. The default is `low`.   Returns: (float) The lowest value tracked. █  v3, Sept. 27, 2022 This version includes the following new functions: aroon(length)   Calculates the values of the Aroon indicator.   Parameters:      length (simple int) : (simple int) Number of bars (length).   Returns: ( [float, float ]) A tuple of the Aroon-Up and Aroon-Down values. coppock(source, longLength, shortLength, smoothLength)   Calculates the value of the Coppock Curve indicator.   Parameters:      source (float) : (series int/float) Series of values to process.      longLength (simple int) : (simple int) Number of bars for the fast ROC value (length).      shortLength (simple int) : (simple int) Number of bars for the slow ROC value (length).      smoothLength (simple int) : (simple int) Number of bars for the weigted moving average value (length).   Returns: (float) The oscillator value. dema(source, length)   Calculates the value of the Double Exponential Moving Average (DEMA).   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The double exponentially weighted moving average of the `source`. d​ema2(​src, length)   An alternate ​Double Exponential ​Moving Average (D​ema) function to `d​ema()`, which allows a "series float" length argument.   Parameters:      ​src : (series int/float) Series of values to process.      length : (series int/float) Length for the smoothing parameter calculation.   Returns: (float) The double exponentially ​weighted moving average of the `​src`. dm(length)   Calculates the value of the "Demarker" indicator.   Parameters:      length (simple int) : (simple int) Number of bars (length).   Returns: (float) The oscillator value. donchian(length)   Calculates the values of a Donchian Channel using `high` and `low` over a given `length`.   Parameters:      length (int) : (series int) Number of bars (length).   Returns: ( [float, float, float ]) A tuple containing the channel high, low, and median, respectively. ​ema2(​src, length)   An alternate ​ema function to the `ta.​ema()` built-in, which allows a "series float" length argument.   Parameters:      ​src : (series int/float) Series of values to process.      length : (series int/float) Number of bars (length).   Returns: (float) The exponentially ​weighted moving average of the `​src`. eom(length, div)   Calculates the value of the Ease of Movement indicator.   Parameters:      length (simple int) : (simple int) Number of bars (length).      div (simple int) : (simple int) Divisor used for normalzing values. Optional. The default is 10000.   Returns: (float) The oscillator value. frama(source, length)   The Fractal Adaptive Moving Average (FRAMA), developed by John Ehlers, is an adaptive moving average that dynamically adjusts its lookback period based on fractal geometry.   Parameters:      source (float) : (series int/float) Series of values to process.      length (int) : (series int) Number of bars (length).   Returns: (float) The fractal adaptive moving average of the `source`. ft(source, length)   Calculates the value of the Fisher Transform indicator.   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Number of bars (length).   Returns: (float) The oscillator value. ht(source)   Calculates the value of the Hilbert Transform indicator.   Parameters:      source (float) : (series int/float) Series of values to process.   Returns: (float) The oscillator value. ichimoku(conLength, baseLength, senkouLength)   Calculates values of the Ichimoku Cloud indicator, including tenkan, kijun, senkouSpan1, senkouSpan2, and chikou. NOTE: offsets forward or backward can be done using the `offset` argument in `plot()`.   Parameters:      conLength (int) : (series int) Length for the Conversion Line (Tenkan). The default is 9 periods, which returns the mid-point of the 9 period Donchian Channel.      baseLength (int) : (series int) Length for the Base Line (Kijun-sen). The default is 26 periods, which returns the mid-point of the 26 period Donchian Channel.      senkouLength (int) : (series int) Length for the Senkou Span 2 (Leading Span B). The default is 52 periods, which returns the mid-point of the 52 period Donchian Channel.   Returns: ( [float, float, float, float, float ]) A tuple of the Tenkan, Kijun, Senkou Span 1, Senkou Span 2, and Chikou Span values. NOTE: by default, the senkouSpan1 and senkouSpan2 should be plotted 26 periods in the future, and the Chikou Span plotted 26 days in the past. ift(source)   Calculates the value of the Inverse Fisher Transform indicator.   Parameters:      source (float) : (series int/float) Series of values to process.   Returns: (float) The oscillator value. kvo(fastLen, slowLen, trigLen)   Calculates the values of the Klinger Volume Oscillator.   Parameters:      fastLen (simple int) : (simple int) Length for the fast moving average smoothing parameter calculation.      slowLen (simple int) : (simple int) Length for the slow moving average smoothing parameter calculation.      trigLen (simple int) : (simple int) Length for the trigger moving average smoothing parameter calculation.   Returns: ( [float, float ]) A tuple of the KVO value, and the trigger value. pzo(length)   Calculates the value of the Price Zone Oscillator.   Parameters:      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The oscillator value. rms(source, length)   Calculates the Root Mean Square of the `source` over the `length`.   Parameters:      source (float) : (series int/float) Series of values to process.      length (int) : (series int) Number of bars (length).   Returns: (float) The RMS value. rwi(length)   Calculates the values of the Random Walk Index.   Parameters:      length (simple int) : (simple int) Lookback and ATR smoothing parameter length.   Returns: ( [float, float ]) A tuple of the `rwiHigh` and `rwiLow` values. stc(source, fast, slow, cycle, d1, d2)   Calculates the value of the Schaff Trend Cycle indicator.   Parameters:      source (float) : (series int/float) Series of values to process.      fast (simple int) : (simple int) Length for the MACD fast smoothing parameter calculation.      slow (simple int) : (simple int) Length for the MACD slow smoothing parameter calculation.      cycle (simple int) : (simple int) Number of bars for the Stochastic values (length).      d1 (simple int) : (simple int) Length for the initial %D smoothing parameter calculation.      d2 (simple int) : (simple int) Length for the final %D smoothing parameter calculation.   Returns: (float) The oscillator value. stochFull(periodK, smoothK, periodD)   Calculates the %K and %D values of the Full Stochastic indicator.   Parameters:      periodK (simple int) : (simple int) Number of bars for Stochastic calculation. (length).      smoothK (simple int) : (simple int) Number of bars for smoothing of the %K value (length).      periodD (simple int) : (simple int) Number of bars for smoothing of the %D value (length).   Returns: ( [float, float ]) A tuple of the slow %K and the %D moving average values. stochRsi(lengthRsi, periodK, smoothK, periodD, source)   Calculates the %K and %D values of the Stochastic RSI indicator.   Parameters:      lengthRsi (simple int) : (simple int) Length for the RSI smoothing parameter calculation.      periodK (simple int) : (simple int) Number of bars for Stochastic calculation. (length).      smoothK (simple int) : (simple int) Number of bars for smoothing of the %K value (length).      periodD (simple int) : (simple int) Number of bars for smoothing of the %D value (length).      source (float) : (series int/float) Series of values to process. Optional. The default is `close`.   Returns: ( [float, float ]) A tuple of the slow %K and the %D moving average values. supertrend(factor, atrLength, wicks)   Calculates the values of the SuperTrend indicator with the ability to take candle wicks into account, rather than only the closing price.   Parameters:      factor (float) : (series int/float) Multiplier for the ATR value.      atrLength (simple int) : (simple int) Length for the ATR smoothing parameter calculation.      wicks (simple bool) : (simple bool) Condition to determine whether to take candle wicks into account when reversing trend, or to use the close price. Optional. Default is false.   Returns: ( [float, int ]) A tuple of the superTrend value and trend direction. szo(source, length)   Calculates the value of the Sentiment Zone Oscillator.   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The oscillator value. t3(source, length, vf)   Calculates the value of the Tilson Moving Average (T3).   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Length for the smoothing parameter calculation.      vf (simple float) : (simple float) Volume factor. Affects the responsiveness.   Returns: (float) The Tilson moving average of the `source`. t3Alt(source, length, vf)   An alternate Tilson Moving Average (T3) function to `t3()`, which allows a "series float" `length` argument.   Parameters:      source (float) : (series int/float) Series of values to process.      length (float) : (series int/float) Length for the smoothing parameter calculation.      vf (simple float) : (simple float) Volume factor. Affects the responsiveness.   Returns: (float) The Tilson moving average of the `source`. tema(source, length)   Calculates the value of the Triple Exponential Moving Average (TEMA).   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The triple exponentially weighted moving average of the `source`. tema2(source, length)   An alternate Triple Exponential Moving Average (TEMA) function to `tema()`, which allows a "series float" `length` argument.   Parameters:      source (float) : (series int/float) Series of values to process.      length (float) : (series int/float) Length for the smoothing parameter calculation.   Returns: (float) The triple exponentially weighted moving average of the `source`. trima(source, length)   Calculates the value of the Triangular Moving Average (TRIMA).   Parameters:      source (float) : (series int/float) Series of values to process.      length (int) : (series int) Number of bars (length).   Returns: (float) The triangular moving average of the `source`. trima2(​src, length)   An alternate Triangular ​Moving Average (TRIMA) function to `trima()`, which allows a "series int" length argument.   Parameters:      ​src : (series int/float) Series of values to process.      length : (series int) Number of bars (length).   Returns: (float) The triangular moving average of the `​src`. trix(source, length, signalLength, exponential)   Calculates the values of the TRIX indicator.   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Length for the smoothing parameter calculation.      signalLength (simple int) : (simple int) Length for smoothing the signal line.      exponential (simple bool) : (simple bool) Condition to determine whether exponential or simple smoothing is used. Optional. The default is `true` (exponential smoothing).   Returns: ( [float, float, float ]) A tuple of the TRIX value, the signal value, and the histogram. uo(fastLen, midLen, slowLen)   Calculates the value of the Ultimate Oscillator.   Parameters:      fastLen (simple int) : (series int) Number of bars for the fast smoothing average (length).      midLen (simple int) : (series int) Number of bars for the middle smoothing average (length).      slowLen (simple int) : (series int) Number of bars for the slow smoothing average (length).   Returns: (float) The oscillator value. vhf(source, length)   Calculates the value of the Vertical Horizontal Filter.   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Number of bars (length).   Returns: (float) The oscillator value. vi(length)   Calculates the values of the Vortex Indicator.   Parameters:      length (simple int) : (simple int) Number of bars (length).   Returns: ( [float, float ]) A tuple of the viPlus and viMinus values. vzo(length)   Calculates the value of the Volume Zone Oscillator.   Parameters:      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The oscillator value. williamsFractal(period)   Detects Williams Fractals.   Parameters:      period (int) : (series int) Number of bars (length).   Returns: ( [bool, bool ]) A tuple of an up fractal and down fractal. Variables are true when detected. wpo(length)   Calculates the value of the Wave Period Oscillator.   Parameters:      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The oscillator value. █  v7, Nov. 2, 2023 This version includes the following new and updated functions: atr2(length)   An alternate ATR function to the `ta.atr()` built-in, which allows a "series float" `length` argument.   Parameters:      length (float) : (series int/float) Length for the smoothing parameter calculation.   Returns: (float) The ATR value. changePercent(newValue, oldValue)   Calculates the percentage difference between two distinct values.   Parameters:      newValue (float) : (series int/float) The current value.      oldValue (float) : (series int/float) The previous value.   Returns: (float) The percentage change from the `oldValue` to the `newValue`. donchian(length)   Calculates the values of a Donchian Channel using `high` and `low` over a given `length`.   Parameters:      length (int) : (series int) Number of bars (length).   Returns: ( [float, float, float ]) A tuple containing the channel high, low, and median, respectively. highestSince(cond, source)   Tracks the highest value of a series since the last occurrence of a condition.   Parameters:      cond (bool) : (series bool) A condition which, when `true`, resets the tracking of the highest `source`.      source (float) : (series int/float) Series of values to process. Optional. The default is `high`.   Returns: (float) The highest `source` value since the last time the `cond` was `true`. lowestSince(cond, source)   Tracks the lowest value of a series since the last occurrence of a condition.   Parameters:      cond (bool) : (series bool) A condition which, when `true`, resets the tracking of the lowest `source`.      source (float) : (series int/float) Series of values to process. Optional. The default is `low`.   Returns: (float) The lowest `source` value since the last time the `cond` was `true`. relativeVolume(length, anchorTimeframe, isCumulative, adjustRealtime)   Calculates the volume since the last change in the time value from the `anchorTimeframe`, the historical average volume using bars from past periods that have the same relative time offset as the current bar from the start of its period, and the ratio of these volumes. The volume values are cumulative by default, but can be adjusted to non-accumulated with the `isCumulative` parameter.   Parameters:      length (simple int) : (simple int) The number of periods to use for the historical average calculation.      anchorTimeframe (simple string) : (simple string) The anchor timeframe used in the calculation. Optional. Default is "D".      isCumulative (simple bool) : (simple bool) If `true`, the volume values will be accumulated since the start of the last `anchorTimeframe`. If `false`, values will be used without accumulation. Optional. The default is `true`.      adjustRealtime (simple bool) : (simple bool) If `true`, estimates the cumulative value on unclosed bars based on the data since the last `anchor` condition. Optional. The default is `false`.   Returns: ( [float, float, float ]) A tuple of three float values. The first element is the current volume. The second is the average of volumes at equivalent time offsets from past anchors over the specified number of periods. The third is the ratio of the current volume to the historical average volume. rma2(source, length)   An alternate RMA function to the `ta.rma()` built-in, which allows a "series float" `length` argument.   Parameters:      source (float) : (series int/float) Series of values to process.      length (float) : (series int/float) Length for the smoothing parameter calculation.   Returns: (float) The rolling moving average of the `source`. supertrend2(factor, atrLength, wicks)   An alternate SuperTrend function to `supertrend()`, which allows a "series float" `atrLength` argument.   Parameters:      factor (float) : (series int/float) Multiplier for the ATR value.      atrLength (float) : (series int/float) Length for the ATR smoothing parameter calculation.      wicks (simple bool) : (simple bool) Condition to determine whether to take candle wicks into account when reversing trend, or to use the close price. Optional. Default is `false`.   Returns: ( [float, int ]) A tuple of the superTrend value and trend direction. vStop(source, atrLength, atrFactor)   Calculates an ATR-based stop value that trails behind the `source`. Can serve as a possible stop-loss guide and trend identifier.   Parameters:      source (float) : (series int/float) Series of values that the stop trails behind.      atrLength (simple int) : (simple int) Length for the ATR smoothing parameter calculation.      atrFactor (float) : (series int/float) The multiplier of the ATR value. Affects the maximum distance between the stop and the `source` value. A value of 1 means the maximum distance is 100% of the ATR value. Optional. The default is 1.   Returns: ( [float, bool ]) A tuple of the volatility stop value and the trend direction as a "bool". vStop2(source, atrLength, atrFactor)   An alternate Volatility Stop function to `vStop()`, which allows a "series float" `atrLength` argument.   Parameters:      source (float) : (series int/float) Series of values that the stop trails behind.      atrLength (float) : (series int/float) Length for the ATR smoothing parameter calculation.      atrFactor (float) : (series int/float) The multiplier of the ATR value. Affects the maximum distance between the stop and the `source` value. A value of 1 means the maximum distance is 100% of the ATR value. Optional. The default is 1.   Returns: ( [float, bool ]) A tuple of the volatility stop value and the trend direction as a "bool". Removed Functions: allTimeHigh(src)   Tracks the highest value of `src` from the first historical bar to the current bar. allTimeLow(src)   Tracks the lowest value of `src` from the first historical bar to the current bar. trima2(src, length)   An alternate Triangular Moving Average (TRIMA) function to `trima()`, which allows a "series int" length argument.
Perpustakaan Pine Script®
oleh TradingView
24
Confluence TradingThis indicator makes use of the Kumo Cloud, 3EMA and ADX/DI+/DI- indicators. While these can be used separately (green bars show where to long and red bars show where to short), this indicator also shows how their use together can create a more precise estimate on when to enter and exit the market. It is interesting to note that while each of the three indicators individually can predict movements and trend reversals early, having their signals converge into one makes a slower prediction but also a more accurate one. It is a great visual representation of why combining multiple trading techniques or analysis increases odds of winning trades (confluence trading). Do feel free to message me if you wish for me to add any other indicator to the mix or to fix any bugs. The ADX indicator makes use of robertkowalski's code.
Penunjuk Pine Script®
oleh antondmt
2
MA DerivativesMA Derivatives basicly using Ichimoku Cloud and some additional moving averages for traders. A. ICHIMOKU Tenkan-sen (Conversion Line): (9-period high + 9-period low)/2 On a daily chart , this line is the midpoint of the 9-day high-low range, which is almost two weeks. Kijun-sen (Base Line): (26-period high + 26-period low)/2 On a daily chart , this line is the midpoint of the 26-day high-low range, which is almost one month. Senkou Span A (Leading Span A): (Conversion Line + Base Line)/2 This is the midpoint between the Conversion Line and the Base Line. The Leading Span A forms one of the two Cloud boundaries. It is referred to as “Leading” because it is plotted 26 periods in the future and forms the faster Cloud boundary. Senkou Span B (Leading Span B): (52-period high + 52-period low)/2 On the daily chart , this line is the midpoint of the 52-day high-low range, which is a little less than 3 months. The default calculation setting is 52 periods, but it can be adjusted. This value is plotted 26 periods in the future and forms the slower Cloud boundary. Chikou Span: Represents the closing price and is plotted 26 days back. Kumo Cloud: Kumo cloud between Senkuo Span A and Senkou Span B lines. It can be green or red. Color can be change with the trend. You can use Ichimoku for buy&sell strategy For Buying Strategy - Tenkansen (Conversion Line) should crossover Kijunsen (Base line) above the highest line of cloud - Price should be above the highest line of cloud - Chikouspan should be above the cloud For Selling Strategy - Kijunsen (Base Line) should crossover Tenkansen (Conversion Line) below the lowest line of cloud - Price should be below the lowest line of cloud - Chikouspan should be below the cloud B. SIMPLE MOVING AVERAGES The indicator has some of Simple Moving Averages It includes: -Simple Moving Average 50 -Simple Moving Average 100 -Simple Moving Average 200 C. EXPONENTIAL MOVING AVERAGES The indicator has some of Simple Moving Averages It includes: -Exponential Moving Average 9 -Exponential Moving Average 21 -Exponential Moving Average 50 D. BOLLINGER BAND Bollinger Bands are a type of price envelope developed by John BollingerOpens in a new window. (Price envelopes define upper and lower price range levels.) Bollinger Bands are envelopes plotted at a standard deviation level above and below a simple moving average of the price. Because the distance of the bands is based on standard deviation, they adjust to volatility swings in the underlying price. Bollinger Bands use 2 parameters, Period and Standard Deviations, StdDev. The default values are 20 for period, and 2 for standard deviations, although you may customize the combinations. Bollinger bands help determine whether prices are high or low on a relative basis. They are used in pairs, both upper and lower bands and in conjunction with a moving average. Further, the pair of bands is not intended to be used on its own. Use the pair to confirm signals given with other indicators. How this indicator works When the bands tighten during a period of low volatility, it raises the likelihood of a sharp price move in either direction. This may begin a trending move. Watch out for a false move in opposite direction which reverses before the proper trend begins. When the bands separate by an unusual large amount, volatility increases and any existing trend may be ending. Prices have a tendency to bounce within the bands' envelope, touching one band then moving to the other band. You can use these swings to help identify potential profit targets. For example, if a price bounces off the lower band and then crosses above the moving average, the upper band then becomes the profit target. Price can exceed or hug a band envelope for prolonged periods during strong trends. On divergence with a momentum oscillator, you may want to do additional research to determine if taking additional profits is appropriate for you. A strong trend continuation can be expected when the price moves out of the bands. However, if prices move immediately back inside the band, then the suggested strength is negated. Calculation First, calculate a simple moving average. Next, calculate the standard deviation over the same number of periods as the simple moving average. For the upper band, add the standard deviation to the moving average. For the lower band, subtract the standard deviation from the moving average. Typical values used: Short term: 10 day moving average, bands at 1.5 standard deviations. (1.5 times the standard dev. +/- the SMA) Medium term: 20 day moving average, bands at 2 standard deviations. Long term: 50 day moving average, bands at 2.5 standard deviations. E. ADJUSTABLE MOVING AVERAGES And this script has also 2 adjustable moving average - 1 Adjustable Simple Moving Average - 1 Adjustable Exponential Moving Average You can just change the length for using this tool.
Penunjuk Pine Script®
oleh ErdemDemir
4
IKH Signals v2Hi, I'm happy to release this new update after few weeks working. Fixes Fix kumo break-out of Chiku span and close price Fix buy trigger and strong buy trigger Improvement Signals take now the kumo thickness and kumo angle Signals does not trigger on doji candles Multi time frame validation is now available I hope this fixes and new features will improve the signals for you too. Let me know if you find strange behavior or possible improvments.
Penunjuk Pine Script®
oleh teixeiraperso
4
Buy/Sell Alert EMA with SuperFormula by zdmre*** Use it at your own risk This indicator has 3 indicators and gives a buy/sell signal depending on the EMA. 3 indicators: - Ichimoku - Bollinger Band - EMA It also shows the value on the candle as a warning in the Buy and Sell signals. This value is calculated with a special formula I have created. On the other hand Bollinger Band and Ichimoku Cloud are also included to check the accuracy of the signals. For this indicator, I recommend a minimum of 4 hours chart.
Penunjuk Pine Script®
oleh zdmre
10
Trend Indicators CollectionAnalyses MACD crosses with Ichimoku cloud direction and state General idea: - MACD crosses usually point to a change in trend direction and Kumo state and direction often act as a confirmation as well as a trend strength indicator. Using this, the script points out where there were was or can be a point where the trend change may have the strength to carry on. Buy warnings: - This warning will be triggered in two ways, both of them only if MACD is above EMA and the current close price is over Kumo: - Senku span A crosses over Senku B (Kumo turns positive) when MACD is already positive - MACD turns positive when Kumo is already positive Sell warnings - Triggered in two ways: - Kumo turns negative when the current close price is bellow EMA - The inverse of the above, the current close price falls bellow EMA when the Kumo is already negative Trend Indicators Collection (TIC) contains: - MACD, EMA, ADX, Mass index, Ichimoku Cloud, and Pivot points - Best suited for monthly charts with 30m bars
Penunjuk Pine Script®
oleh UnknownUnicorn13575367
【Super Bollinger】The market consists of three phases: an uptrend phase, a downtrend phase, and a range-bound phase.Furthermore, if we include a trend phase and a correction phase, the market has five phases. In other words, the market is classified into the “five phases” as below: 1) Uptrend market (trend phase, upward bias) 2) Downtrend market (trend phase, downward bias) 3) Upward correction phase (correction phase, upward bias) 4) Downward correction phase (correction phase, downward bias) 5) Range-bound phase, sideways (correction phase, basically not biased) For your judgment of the above market trends, Super Bollinger is extremely useful and effective. And Super Bollinger has advantage in judging market price level. そもそも、相場は、5つの局面に分けることができます。 すなわち、 １）上昇トレンド局面（上昇バイアス） ２）下降トレンド局面（下降バイアス） ３）調整の反騰局面（上昇バイアス） ４）調整の反落局面（下降バイアス） ５）レンジ局面（バイアスなし） そして、スーパーボリンジャー、これら5つの局面の判断を下す際にきわめて有効なツールです。また、とりわけ、価格分析に優れたチャートです。 With regard to Chikou Span,this span gives very useful information about (1) the direction of the market (being in an upward bias by buying pressure or in a downward bias by selling pressure) , (2) the timing of buying on the dip or selling on the rally, (3) the market’s temporal rhythm etc.. 遅行スパンに関しては、基本的に、 （1）相場の方向性（買い優勢か売り優勢か） （２）押し目買いや戻り売りのタイミング （３）相場の時間的リズム 等々に関して実に有効な情報を与えてくれます。
Penunjuk Pine Script®
oleh Murphy_FPnet
2
【SpanModel】The Span Model is a very unique chart which shows us especially when to buy and when to sell. And the Span Model has advantage in judging the trade timing. スパンモデルとは、いつ買うか、いつ売るかを教えてくれるとてもユニークなチャートです。とりわけ、トレードのタイミングを判断する上で優れています。 The Span Model is composed of only three lines (spans). They are the Blue Span, the Red Span and the Chikou Span. And a major characteristic of the Span Model is the signals (Span Model Signals) of the two types explained below: 1) Buy signal The buy signal is lit when the Blue Span sits above, and the Red Span sits below. 2) Sell signal The sell signal is lit when the Red Span sits above, and the Blue Span sits below. スパンモデルには、構成要素（３つのスパン）として、青色スパン、赤色スパン、そして、遅行スパンがあります。 スパンモデルの大きな特長として、シグナル（スパンモデルシグナル）があります。そして、２種類のシグナルがあります。 １）買いシグナル 青色スパンが上方、赤色スパンが下方に位置するときに点灯します。 ２）売りシグナル 赤色スパンが上方、青色スパンが下方に位置するときに点灯します。
Penunjuk Pine Script®
oleh Murphy_FPnet
1
7-EMA 3-SMA BB_FiboR Icnimoke and SNRContains of:- 7 EMA 3 SMA Bollinger Bands Fibonacci Retracement Ichimoku Support and resistance The idea is, my technique required to use EMA and SMA and bollinger band to monitor trend whether strong or not, then I use Fibonacci retracement to monitor how far it will drop or how far it will go up. On the other method, I'm using EMA and SMA and Ichimoku to monitor counter that have midterm potential. The SNR is to calculate my support and resistance which is when to EP, TP and CL. RBS signal is when the price break the resistance, which the price exceed the top of latest length of bar you set. SBR signal indicate where we need to cutloss, when the price lower than bottom of latest of bar you set All in one indicator. Saves all number of indicator you need. Convenience for free user
Penunjuk Pine Script®
oleh sarifzul
3
InariN CloudSInariN CloudS (INCS) is my custom model of InariN. I usually use INCS in 300 ticks (other software) and 5 minutes charts for day trading. Please read script "InariN simple" for basic usage. I share background and fundamental ideas of day trading and INCS here. I start with the practical conclusion and then explain INCS. Maybe you'll notice that most indicators are unnecessary at the end of this text. Anyway I compile fundamental ideas that I wanted to know as a beginner. (I'll update to finish this text, please wait for some time.) ///Premise of trading/// Market's purpose...facilitating trading Trader's purpose...making money Market is stronger than trader and trader need adjust to market. However trader have controllable side. Market's control...Trend, Volatility Trader's control...Money management, Making Risk:Reward, Choosing and exercising trading strategy ///Simple rule (Conclusion)/// I made simple rule "Just Do It Now" to check essential ideas on every trade. Traders can use thousands of indicators but only use three choices "Buy, Sell and No trade". If you have bad result, you had better suspect not your indicators but your three choices at first. (This is one of the best advice I have ever heard by N jijii.)
Penunjuk Pine Script®
oleh akutsusho
4
Sto RSI and kijun-sen line to determine and follow the trend This script uses 25-75 treshold of stochastic RSI with the help of kijun-sen as confirmation, to find entry points to any trend either newly developed or an established one. I just realized it on the 1 hour SPX chart. Sure it can be used on other symbols. Crossing above/below 25/75 line of sto RSI is considered as buy/sell signal. Signals are evaluated whether price be above/below kijun-sen line. If a sell signal below kijun-sen is generated it is a continuation signal for downtrend, otherwise it is a countertrend signal (maybe a signal for a new downtrend). A countertrend signal must be evaluated carefully and only accepted in the right side of kijun-sen. e.g entering a sell signal generated above kijun-sen should be accepted only below the kijun-sen, vice-versa.
Penunjuk Pine Script®
oleh GurselKona
3
Rainbow Gator - EMAs strategy for Binary OptionThis is an EMAs indicator for Binary Option or Scalping Alert designed for lower Time Frame Trend (2-5minutes). Although you will find it a useful tool for higher time frames as well. The Alerts are generated when the fast EMA cross over/under other slower EMAs, you then have the chance to wait for the pullback during the new trend then enter for trend momentum (follow the trend). Beware when the trend is close to EMA200. You must draw your SRT (Support-Resistance-Trendline) before looking for setups. Good luck.
Penunjuk Pine Script®
oleh MrTuanDoan
5
T3 ICL MACD STRATEGY Backtested manually and received approx 60% winrate. Tradingview strategy tester is skewed because this program does not specify when to sell at profit target or at a stop loss. Uses 1 min for entry and a longer time frame for confirmation (5,10,15, etc..) (Not sure what the yellow arrows are in the picture but they can be ignored) Ideal Long Entry - The algo uses T3 moving average (T3) and the Ichimoku Conversion Line (ICL) to determine when to enter a long or short position. In this case we are going to showcase what causes the algo to alert long. It first checks to see if the the ICL is greater than T3. Once that condition is met T3 must be green in order to enter long and finally the last closing price has to be greater than the ICL. You can use the MACD to further verify a long trend as well! Ideal Short Entry - The algo uses T3 moving average (T3) and the Ichimoku Conversion Line (ICL) to determine when to enter a long or short position. In this case we are going to showcase what causes the algo to alert short. It first checks to see if the the ICL is less than T3. Once that condition is met T3 must be red in order to enter short and finally the last closing price has to be less than the ICL. You can use the MACD to further verify a long trend as well!
Strategi Pine Script®
oleh dannypopo
IKAKOver2（LITE雲なし） change point I tried to make the operation lighter by removing the display of the Ichimoku balance table. We have set a period such as EMA to use 5 minute bars and the first band is period 60 and 100 EMA . The color of the belt changes according to the position of the period 5EMA-25EMA-50EMA. The second sash is based on a 60- and 100-EMA period of 15 minutes. The change in the color of the obi is also a 15-minute specification. Since the above period can be changed, I think that there are customs such as 1 hour and 4 hours. Buying and selling signs are shown in green for buying and red for selling. (More frequent) For the time being, it is also possible to display the Ichimoku balance table. As for my usage method, when both the 15-minute and 5-minute bars have an uptrend (downtrend ), when each trading sign is confirmed, spread the limit just below the price. . (Because there is a commission in the market) If the color of the obi becomes yellow, the trend may be over, so wait for the signature to reach the bundle of 15 minutes instead of 5 minutes, and after the signature is confirmed, it is the same as 5 minutes. The loss cut line is often the latest low. Or when the obi is broken. . I am still studying about profitability. Sometimes we use indicators, sometimes we reach the target horizon. I think each way is good. It is a discretionary aid, and the head and tail are cut off, and the image is about 10 to 100 ＄.
Penunjuk Pine Script®
oleh nanja600
1
Balanced/Unbalanced MarketWhen market chooses to go uptrend or downtrend, the equilibrium between buyers and sellers vanishes and the trend with the different qualifications forms. The number of balanced and unbalanced periods of a trend can relate to it's weakness/strength. Using indicators like ichimoku can initially help us to simply understand these concept. So simply: 1- When Kj (Kijunsen=Ichimoku baseline) become flat, it shows the equilibrium between buyers and sellers. In line 13 of the script code, we can see the condition for this. In this case, better to use Kj=52 as it's closer to the concept of equilibrium market and contains more flat periods. Also we can use Kj ==Kj and Kj ==Kj instead, to filter the balanced bars more. 2- When Kj stand higher or lower than it's previous value, it can be used as determiner for bullishness and bearishness of the market. In lines 16,19 of the script code, we can see the conditions for this. In this case, better to use Kj=26 as it's closer to the concept of trend market.
Penunjuk Pine Script®
oleh SuYan
Filtered Waves [NXT2017] #Linda Raschke #basics on Arthur MerrilHI BIG PLAYERS, this script I wrote for an enquiry of a tradingview-user. It should represent the Filtered Waves idea from Arthur Merril and used by Linda Raschke. It's similar like a visualization of Elliott Waves. On YouTube title "MTA UK Chapter Presentation with Linda Raschke" between 34-36 minutes Linda Raschke shows the rules for her Filterd Waves. Any questions? Ask me! King regards NXT2017 ======== TO MY PERSON I'm the second winner of the official German Forex Trading Competition in 2018. Look here to the ranks: deutsche-trading-meisterschaften.de I speak german, english and russian. My strength in trading are Wolfe Wave pattern.
Penunjuk Pine Script®
oleh NXT2017
12