지금 시작

단순 이동 평균 (SMA)

Altered OBV On MACDHere is another strategy along with an indicator that is already published for everyone to use wisely in the tradingview platform. The strategy is not very planned to highlight where to enter and when to exit as it is just a system. So, it is always good practice to follow the signal of simple moving averages and that is the reason you could find those color lines in this strategy as well. As the indicator signals the entry point, it is wise to decide what the SMA (21, 50, 90, 200) signals us. When the price oscillated around the higher timeframe of moving averages, then it is wise to wait before entering. OBV: The OBV is perfect indicator to understand the strength of the particular stock. As the strength increase, the trend of the stock goes high along with price. But, the OBV is considered only with close of previous close which is to make sure the double confirmation on the price to accumulate the volume . Altered OBV: So, here is the altered OBV, which basically consider the close of previous close and also buying interested of the day when close is higher than open. MACD: I always admire the magic of MACD with pre-defined timeframe. Now, this MACD applied on top of altered OBV to signal us the moving of the ticker strength. Long: The long entry occurs when the MACD on Altered OBV signal bullish and the same time the MACD on close already bullish. Short The short denotes when the MACD on Altered OBV signal bearish and at the same time the MACD on close already bearish. I hope this would help on your swing trading strategy. Happy Investing.
Pine Script™ 스트래티지
stocktechbot의
(E)Moving Average Ribbon High/LowThis is a slight modification of the standard Moving Average Ribbon. This script will take the 200 EMA and SMA with source the high and low, not the close. This band will act as a support and resistance zone and should be used as a confluence with other indicators or support/resistance lines. I got inspired to create this one, by the YT video "FINALLY! The 200 EMA Confluence Trading Strategy You’ve Been Waiting For" by The Secret Mindset. In his video he takes only the 200EMA, but this script will take by default also the SMA into account. In the settings you still can adapt as you wish ;-) Happy trading!
Pine Script™ 인디케이터
Greg_007의
Trend Breakout high/low #1What is the Trend Breakout high/low #1? This script uses the high/low of each fixed time period as a conditional judgment, and when the high/low is broken as a buy/sell signal, trying to capture a trend. How to use this script? Start date and Stop date: You can choose the date of the test. Trading cycle: Selected time period is used as the basis for determining the high/low and is limited to one trade only. Stop range: This value will calculate the stop loss range. Set 50-100 that is better Fixed mode: Fixed of lots per transaction. ---Additional Functions--- Reversal mode: Reversing the buy and sell signals, may be useful in certain situations. Wighted mode: Increased profitability under certain conditions When win & When lose:Judgment when there is an ongoing loss/profit as a condition, may be useful in certain situations. Use closing price: Use the closing price breakout high/low as a conditional judgment, but this function sometimes fails. Notes: Trading cycle and your chart time period can't be set too close,that will result repainting. Stop range can't be set too small,that will result repainting either.
Pine Script™ 스트래티지
zxcv55602의
1
IS 200EMABB long buy and sellThis script backtested some stocks, it's giving soft buy and strong buy signals, I am using Bollinger band and 200 EMA, Strong Buy :- If price is above 200 ema and cross over 10d ema and sma setup with BB, Buy :- If price is below 200 ema and cross over 10d ema and sma setup with BB, Strong Sell :- If price is below 200 ema and cross over ema and sma with input setup for BB Sell :- If price is above 200 ema and cross over ema and sma with input setup for BB Don't consider it as buy and sell call, do your own research ,i did it according to my experience and learning. Thank you
Pine Script™ 인디케이터
ishroid의
1
Moving Average ChannelThe Moving Average Channel (MAC) is a concept developed by Jake Bernstein, Speaker at Wealth365®, where the 10 period SMA of the High and the 8 period SMA of the Low are plotted to create a channel. As the channel begins expanding, the current trend is getting stronger. However, when the expansion is too large, the trend may make a pullback to the channel (upper or lower), which act as support and resistance lines. This concept is the foundation for the Expansion Contraction Indicator (XC) developed by Brian Latta, Author of “The Book on Trading”.
Pine Script™ 인디케이터
viewer405의
End-pointed SSA of FDASMA [Loxx]End-pointed SSA of FDASMA is a modification of Fractal-Dimension-Adaptive SMA (FDASMA) using End-Pointed Singular Spectrum Analysis. This is a multilayer adaptive indicator. What is the Fractal Dimension Index? The goal of the fractal dimension index is to determine whether the market is trending or in a trading range. It does not measure the direction of the trend. A value less than 1.5 indicates that the price series is persistent or that the market is trending. Lower values of the FDI indicate a stronger trend. A value greater than 1.5 indicates that the market is in a trading range and is acting in a more random fashion. See here for more info: Fractal-Dimension-Adaptive SMA (FDASMA) w/ DSL What is Singular Spectrum Analysis ( SSA )? Singular spectrum analysis ( SSA ) is a technique of time series analysis and forecasting. It combines elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA aims at decomposing the original series into a sum of a small number of interpretable components such as a slowly varying trend, oscillatory components and a ‘structureless’ noise. It is based on the singular value decomposition ( SVD ) of a specific matrix constructed upon the time series. Neither a parametric model nor stationarity-type conditions have to be assumed for the time series. This makes SSA a model-free method and hence enables SSA to have a very wide range of applicability. For our purposes here, we are only concerned with the "Caterpillar" SSA . This methodology was developed in the former Soviet Union independently (the ‘iron curtain effect’) of the mainstream SSA . The main difference between the main-stream SSA and the "Caterpillar" SSA is not in the algorithmic details but rather in the assumptions and in the emphasis in the study of SSA properties. To apply the mainstream SSA , one often needs to assume some kind of stationarity of the time series and think in terms of the "signal plus noise" model (where the noise is often assumed to be ‘red’). In the "Caterpillar" SSA , the main methodological stress is on separability (of one component of the series from another one) and neither the assumption of stationarity nor the model in the form "signal plus noise" are required. "Caterpillar" SSA The basic "Caterpillar" SSA algorithm for analyzing one-dimensional time series consists of: Transformation of the one-dimensional time series to the trajectory matrix by means of a delay procedure (this gives the name to the whole technique); Singular Value Decomposition of the trajectory matrix; Reconstruction of the original time series based on a number of selected eigenvectors. This decomposition initializes forecasting procedures for both the original time series and its components. The method can be naturally extended to multidimensional time series and to image processing. The method is a powerful and useful tool of time series analysis in meteorology, hydrology, geophysics, climatology and, according to our experience, in economics, biology, physics, medicine and other sciences; that is, where short and long, one-dimensional and multidimensional, stationary and non-stationary, almost deterministic and noisy time series are to be analyzed. Included: Bar coloring Alerts Signals Loxx's Expanded Source Types
Pine Script™ 인디케이터
loxx의
Fractal-Dimension-Adaptive SMA (FDASMA) w/ DSL [Loxx]Fractal-Dimension-Adaptive SMA (FDASMA) w/ DSL is a fractal-dimension-index-adaptive SMA. The SMA is accelerated during a trend and slowed down during a sideways market, so as to avoid false signals. This indicator uses the fractal dimension to compute an ingest period length into the SMA to output the FDASMA. What is the Fractal Dimension Index? The goal of the fractal dimension index is to determine whether the market is trending or in a trading range. It does not measure the direction of the trend. A value less than 1.5 indicates that the price series is persistent or that the market is trending. Lower values of the FDI indicate a stronger trend. A value greater than 1.5 indicates that the market is in a trading range and is acting in a more random fashion. What are DSL Discontinued Signal Line? A lot of indicators are using signal lines in order to determine the trend (or some desired state of the indicator) easier. The idea of the signal line is easy : comparing the value to it's smoothed (slightly lagging) state, the idea of current momentum/state is made. Discontinued signal line is inheriting that simple signal line idea and it is extending it : instead of having one signal line, more lines depending on the current value of the indicator. "Signal" line is calculated the following way : When a certain level is crossed into the desired direction, the EMA of that value is calculated for the desired signal line When that level is crossed into the opposite direction, the previous "signal" line value is simply "inherited" and it becomes a kind of a level This way it becomes a combination of signal lines and levels that are trying to combine both the good from both methods. In simple terms, DSL uses the concept of a signal line and betters it by inheriting the previous signal line's value & makes it a level. Included 2 Signal types Alerts Loxx's Expanded Source Types Bar coloring
Pine Script™ 인디케이터
loxx의
6
Variety MA Cluster Filter [Loxx]Variety MA Cluster Filter is one method of creating a low-lag digital filter. This is done by calculating two moving averages and then comparing their output to the past value of the combined output and then choosing the max and min between the two moving averages to then determine the combined output. I've included standard deviation filtering for smoothing. What is a Standard Deviation Filter? If price or output or both don't move more than the (standard deviation) * multiplier then the trend stays the previous bar trend. This will appear on the chart as "stepping" of the moving average line. This works similar to Super Trend or Parabolic SAR but is a more naive technique of filtering. Included Bar coloring Signals Alerts Loxx's Expanded Source Types Loxx's Moving Averages
Pine Script™ 인디케이터
loxx의
STD- and Clutter-Filtered, Non-Lag Moving Average [Loxx]STD- and Clutter-Filtered, Non-Lag Moving Average is a Weighted Moving Average with a minimal lag using a damping cosine wave as the line of weight coefficients. The indicator has two filters. They are static (in points) and dynamic (expressed as a decimal). They allow cutting the price noise giving a stepped shape to the Moving Average. Moreover, there is the possibility to highlight the trend direction by color. This also includes a standard deviation and clutter filter. This filter is a FIR filter. What is a Generic or Direct Form FIR Filter? In signal processing, a finite impulse response (FIR) filter is a filter whose impulse response (or response to any finite length input) is of finite duration, because it settles to zero in finite time. This is in contrast to infinite impulse response (IIR) filters, which may have internal feedback and may continue to respond indefinitely (usually decaying). The impulse response (that is, the output in response to a Kronecker delta input) of an Nth-order discrete-time FIR filter lasts exactly {\displaystyle N+1}N+1 samples (from first nonzero element through last nonzero element) before it then settles to zero. FIR filters can be discrete-time or continuous-time, and digital or analog. A FIR filter is (similar to, or) just a weighted moving average filter, where (unlike a typical equally weighted moving average filter) the weights of each delay tap are not constrained to be identical or even of the same sign. By changing various values in the array of weights (the impulse response, or time shifted and sampled version of the same), the frequency response of a FIR filter can be completely changed. An FIR filter simply CONVOLVES the input time series (price data) with its IMPULSE RESPONSE. The impulse response is just a set of weights (or "coefficients") that multiply each data point. Then you just add up all the products and divide by the sum of the weights and that is it; e.g., for a 10-bar SMA you just add up 10 bars of price data (each multiplied by 1) and divide by 10. For a weighted-MA you add up the product of the price data with triangular-number weights and divide by the total weight. What is a Clutter Filter? For our purposes here, this is a filter that compares the slope of the trading filter output to a threshold to determine whether to shift trends. If the slope is up but the slope doesn't exceed the threshold, then the color is gray and this indicates a chop zone. If the slope is down but the slope doesn't exceed the threshold, then the color is gray and this indicates a chop zone. Alternatively if either up or down slope exceeds the threshold then the trend turns green for up and red for down. Fro demonstration purposes, an EMA is used as the moving average. This acts to reduce the noise in the signal. What is a Dual Element Lag Reducer? Modifies an array of coefficients to reduce lag by the Lag Reduction Factor uses a generic version of a Kalman velocity component to accomplish this lag reduction is achieved by applying the following to the array: 2 * coeff - coeff The response time vs noise battle still holds true, high lag reduction means more noise is present in your data! Please note that the beginning coefficients which the modifying matrix cannot be applied to (coef whose indecies are < LagReductionFactor) are simply multiplied by two for additional smoothing . Included Bar coloring Loxx's Expanded Source Types Signals Alerts
Pine Script™ 인디케이터
loxx의
3
Clutter-Filtered, D-Lag Reducer, Spec. Ops FIR Filter [Loxx]Clutter-Filtered, D-Lag Reducer, Spec. Ops FIR Filter is a FIR filter moving average with extreme lag reduction and noise elimination technology. This is a special instance of a static weight FIR filter designed specifically for Forex trading. This is not only a useful indictor, but also a demonstration of how one would create their own moving average using FIR filtering weights. This moving average has static period and weighting inputs. You can change the lag reduction and the clutter filtering but you can't change the weights or the numbers of bars the weights are applied to in history. Plot of weighting coefficients used in this indicator These coefficients were derived from a smoothed cardinal sine weighed SMA on EURUSD in Matlab. You can see the coefficients in the code. What is Normalized Cardinal Sine? The sinc function sinc (x), also called the "sampling function," is a function that arises frequently in signal processing and the theory of Fourier transforms. In mathematics, the historical unnormalized sinc function is defined for x ≠ 0 by sinc x = sinx / x In digital signal processing and information theory, the normalized sinc function is commonly defined for x ≠ 0 by sinc x = sin(pi * x) / (pi * x) What is a Generic or Direct Form FIR Filter? In signal processing, a finite impulse response (FIR) filter is a filter whose impulse response (or response to any finite length input) is of finite duration, because it settles to zero in finite time. This is in contrast to infinite impulse response (IIR) filters, which may have internal feedback and may continue to respond indefinitely (usually decaying). The impulse response (that is, the output in response to a Kronecker delta input) of an Nth-order discrete-time FIR filter lasts exactly {\displaystyle N+1}N+1 samples (from first nonzero element through last nonzero element) before it then settles to zero. FIR filters can be discrete-time or continuous-time, and digital or analog. A FIR filter is (similar to, or) just a weighted moving average filter, where (unlike a typical equally weighted moving average filter) the weights of each delay tap are not constrained to be identical or even of the same sign. By changing various values in the array of weights (the impulse response, or time shifted and sampled version of the same), the frequency response of a FIR filter can be completely changed. An FIR filter simply CONVOLVES the input time series (price data) with its IMPULSE RESPONSE. The impulse response is just a set of weights (or "coefficients") that multiply each data point. Then you just add up all the products and divide by the sum of the weights and that is it; e.g., for a 10-bar SMA you just add up 10 bars of price data (each multiplied by 1) and divide by 10. For a weighted-MA you add up the product of the price data with triangular-number weights and divide by the total weight. Ultra Low Lag Moving Average's weights are designed to have MAXIMUM possible smoothing and MINIMUM possible lag compatible with as-flat-as-possible phase response. What is a Clutter Filter? For our purposes here, this is a filter that compares the slope of the trading filter output to a threshold to determine whether to shift trends. If the slope is up but the slope doesn't exceed the threshold, then the color is gray and this indicates a chop zone. If the slope is down but the slope doesn't exceed the threshold, then the color is gray and this indicates a chop zone. Alternatively if either up or down slope exceeds the threshold then the trend turns green for up and red for down. Fro demonstration purposes, an EMA is used as the moving average. This acts to reduce the noise in the signal. What is a Dual Element Lag Reducer? Modifies an array of coefficients to reduce lag by the Lag Reduction Factor uses a generic version of a Kalman velocity component to accomplish this lag reduction is achieved by applying the following to the array: 2 * coeff - coeff The response time vs noise battle still holds true, high lag reduction means more noise is present in your data! Please note that the beginning coefficients which the modifying matrix cannot be applied to (coef whose indecies are < LagReductionFactor) are simply multiplied by two for additional smoothing . Things to note Due to the computational demands of this indicator, there is a bars back input modifier that controls how many bars back the indicator is calculated on. Because of this, the first few bars of the indicator will sometimes appear crazy, just ignore this as it doesn't effect the calculation. Related Indicators STD-Filtered, Ultra Low Lag Moving Average Included Bar coloring Loxx's Expanded Source Types Signals Alerts
Pine Script™ 인디케이터
loxx의
4
The Hummingbird - MA Ribbon by Joe (EMA, SMA, SMMA, WMA, VWMA)Tired of having to add multiple moving average indicators to your chart? Well, stop doing that. No, really. Listen. Adding duplicate indicators is totally not cool. And, it won't go over well at the next HOA meeting if you keep doing it. Here's the sweet moving average ribbon you've been waiting for (with 1-10 moving average lines!). It will make your charts look much cooler 😎. And you'll gain the respect of all your neighbors if you add it to your charts. In all seriousness, this is a slimmed-down version of my other super-awesome script with a stupid name, "Joe's Ultimate MA Ribbon (w/ Crossover Triggers)." Basically, I removed the crossover signals from it and changed the name to a much superior name, "The Hummingbird." Yeah. Right on. So, if you don't want or need the crossover signals, go right on humming with "The Hummingbird." Enjoy, friends. 🍻 If you still want the original ribbon with crossover signals, get it here . Options: Show/Hide MA Lines: Only show the lines you wanna see. No more. No less. MA Type (can be different for each line!): EMA , SMA , SMMA (RMA), WMA , VWMA MA Source (for each line): open, close, high, low, hl2 , hlc3, ohlc4, hlcc4 MA Length (for each line): any number between 1 and 4999 Line Colors: Ooh, pretty.
Pine Script™ 인디케이터
crypto-with-joe의
4
RSI SMA Crossover StrategyOverview RSI SMA Crossover Strategy works the same way as traditional MA crossover strategies, but using RSI instead of price. When RSI crosses over the SMA, a long position is opened (buy). When RSI crosses under the SMA, the long position is closed (sell). This strategy can be very effective when the right inputs are used (see below). Be sure to use the backtesting tool to determine the optimal parameters for a given asset/timeframe. Inputs/Parameters RSI Length: length for RSI calculation (default = 50) SMA Length: length for SMA calculation (default = 25) Strategy Properties Initial Capital = $1000 No default properties are defined for Slippage, Commission, etc, so be sure to set these values to get accurate backtesting results. This script is being published open-source for a reason - save yourself a copy and adjust the settings as you like! Backtesting Results Testing on Bitcoin (all time index) 1D chart, with all default parameters. $1,000 initial investment on 10/07/2010 turns into almost $2.5 billion as of 08/30/2022 (compared to $334 million if the initial investment was held over the same period) Remember, results can vary greatly based on the variables mentioned above, so always be sure to backtest.
Pine Script™ 스트래티지
reees의
4
CL PMAThis is and indicator Using SMAs of the High+Low+Close/3 pivot point strategy outlines by Mark Fisher. This indicator is meant to be used as another layer adding confirmation to the ACD system. I mostly use this script to track Crude Oil ( CL ) but it can be used for many other products . However, this indicator is most useful in volatile markets. This is not meant to be used as a primary indicator but rather third level of confirmation after ACD and Number lines outlined by Mark Fishers system.
Pine Script™ 인디케이터
Mreg36의