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Z-Score with Buy & Sell SignalsThis is my open-source indicator of z-score with buy and sell indicators. I see there are other z-score indicators, I just am particular about how I like my z-scores calculated and so decided to make my own and add buy and sell signals to help guide me. And I figured I could share it openly here! What is a Z-Score A z-score is a statistical measures of the distance, in standard deviations, a value is from its given mean. It is expressed as a standard deviation (or SD). The further a value (in this case, a stock) is from their mean, the more likely a regression to the mean is possible (i.e. a return to the average). So if a stock is trading at 3 standard deviations away from its mean, then we can anticipate it wanting to regress back towards 1 to 0 standard deviations from its mean (i.e. sell off back to a value that brings it closer to that SD). The inverse is true if it is trading below. Z-Scores and Stocks Stocks, like everything in nature, like to trade between -1 and +1 SD away from its mean. Anything above this, we can interpret that there is "stress" on the stock. Anything over 2.50 is tremendous stress on the stock and we can anticipate that it will want to revert to its mean in the near future and bring that value down to at least 1, ideally between the -0.5 and 0.5 range. Please note, I set the standard VERY high for the indicator to issue a buy and sell signal (/=2.50). Lately with the volatility, stocks have been entering these ranges frequently and so there have been plenty of signals, but traditionally in a stable environment you may not get these signals. I set the bar extremely high because I want to avoid false buy and sell signals (you will still get them though, nothing is perfect!). So the value in this indicator is in interpreting the actual z-score itself, so please be sure you understand exactly what the Z-score is (see the description above). How the indicator works The indicator works by calculating the average Z-Score between a stocks high and low. This indicator will present the average deviation a stock has from its high and low average. The higher the Z-Score, the more "overbought" the stock is. The lower the z-score, the more "oversold" the stock is. It uses the previous 500 candles worth of data to calculate its SMA and its Standard deviation in order to calculate the z-score. Anytime a stock trades 2.50 SDs or more above or below its mean, you will be presented with a Buy or Sell signal, as generally, statistically speaking, after something has travelled 2.50 SDs aware from its mean, there is an increased probability of a reversion happening. You can use this indicator to determine whether the stock is trading within normal parameters or not and to help you in your analysis as to whether or not a stock could be shorted or longed. I personally like this for swing trading on the 1 hour chart; however, this can be used on any time from 1 minute to 1 hour. It also allows you to track a stocks progress in its reversion to the mean. Examples of it in Use: Gold ETF (ARCA: GLD) on 1 minute Dow Jones ETF (ARCA: DIA) on 1 minute (my favourite Stock!) SPY ETF (ARCA: SPY) on 1 hour chart Disclaimer: This is not meant to be placed as a sole and single strategy. It should be used in COJUNCTION with your other strategies to help you make a determination. No indicator is infallible and should never be relied on 100%! Please let me know your questions/comments/experiences/recommendations below! Thanks everyone!
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Steversteves tarafından
31
Auto Fibonacci From Previous High & Low w/ Percentages & AlertsAUTO FIBONACCI FROM PREVIOUS D/W/M/Q/Y HIGH & LOW WITH PERCENTAGES & ALERTS This is an auto fibonacci level generating indicator that uses the high and low from the previous day, week, month, quarter or year. It also has a table with real time updates of how far away the nearest fibonacci levels are above and below the current price, represented in percentages. It includes alerts for each level as well if you want to be notified of price crossing fibonacci levels without watching the chart. ***HOW TO USE*** Fibonacci levels are also known as the golden ratio and are popular levels for traders to use as support and resistance levels. Expect price to bounce off of these levels regularly. The previous high and low are marked as white lines. These are very important levels so make sure to pay attention when price reaches these lines. Make sure to check out the higher timeframes for major levels. Each fibonacci line retracement and extension up to the 3.272 level in each direction is displayed as red or green depending on whether price is above or below that level. The retracement levels used are: previous high, .117, .236, .382, .5, .618, .786, .883, previous low, 1.272, 1.618, 2, 2.272, 2.618, 3 and 3.272. The extension levels used are: .272, .618, 1, 1.272, 1.618, 2, 2.272, 2.618, 3 and 3.272. In the indicator settings input tab you can quickly change the timeframe used, turn lines on/off, upper line colors, lower line colors, previous high and low line colors, line width, turn percentage table on/off, change the color of the percentage table and move the percentage table to a different location on the chart. The indicator includes alerts for each fibonacci level as well, just set your fibonacci timeframe on your favorite ticker and turn on tradingview alerts for alert() calls. ***MARKETS*** This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex. ***TIMEFRAMES*** This auto fibonacci indicator can be used on all timeframes. ***TIPS*** Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Buy & Sell Pressure Colored Candles, Directional Movement Index + Fisher Transform, Volume Profile W/ Buy & Sell Pressure Labels, Auto Support And Resistance and Money Flow Index in combination with this Auto Fibonacci. They all have real time Bullish and Bearish labels or percentage gap info as well so you can immediately understand each indicator's trend and how far away major levels are in percentages.
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FriendOfTheTrend tarafından
8
Imbalance Identifier With Target BoxTarget Area to help me with my target area for visual reference Imbalance Identifier - Helps me to see where the trade may come back to EMA on 1 Minute Time frame for helping to identify Direction to take trades in I primarily use this as a tool to help me identify very short term direction for scalping small target area (Adjustable) Preset for the main 28 Forex Pairs, US30,US100,US500 Dax40 and Gold on the 1 Minute timeframe
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Travelling_Trader tarafından
4
KCGmut“KCGmut” stands for “Mutations Of Keltner Center Of Gravity Channel”. After adding the ‘KeltCOG Width’ label to the KeltCOG, I got the idea of creating a subpanel indicator to show the development of the width-percent in previous periods. After some more thinking, I decided that the development of the COG-width-percent should also be reported and somehow the indicator should report whether the close is over (momentum is up), in (momentum is sideways) or under (momentum is down) the COG ( This is the gray area in the channel). Borrowing from other scripts: I tweeked the script of the KeltCOG (published) to calculate the columns and of REVE (also published) to calculate the volume spikes. Because the KeltCOG script had the default option to let the script chose lookback and adapt the width, I decided to not provide inputs to tweek lookback or channel width. Thus, if you use a KeltCOG in default setting, REVE and KCGmut together in the same chart, these will provide consistent complementary information about the candle. This layout has this combination: I added actual volume to show where volume spikes occur. Columns For the channel-width-percent half of the value is used and for the COG-width-percent the whole to get a better image By plotting the columns of the full width before those of the COG, in two series of positive and negative values, I created the illusion of a column with a different colored patch representing the COG (most are black) at the bottom where it points up (showing momentum is up), in the middle when the close is in the COG (no momentum) or at the top when the close is below the COG (showing momentum is down) coloring drama When nothing much happens, i.e. the channels keep the same width of shrink a bit, the columns get an unobtrusive color, black for the small COG patches and bluish gray for the channel columns pointing up or sideways, reddish gray when pointing down. If the COG increases (drama) the patches get colored lime (up), red (down) or orange (sideways, very seldom). If the channel increases, the columns get colored gold (up), maroon (down) or orange (sideways). Because the COG is derived from a Donchian channel, drama means a new high or low in the lookback period. Drama in the KeltCOG channel just means increase in volatility. histogram showing volume spikes Blue spikes indicate more then twice as much volume then recently normal, Maroon spikes indicate clear increases less then twice. To prevent the histogram from disappearing behind a column it is plotted first, spikes made longer then the column and also plotted both positive and negative. Single volume spikes don’t mean much, however if these occur in consecutive series and also come together with drama like new highs or increase in volatility, volume is worth noting. I regard such events as ‘voting’, the market ‘votes’ up or down. The REVE analyses these events to asses whether the volume stems from huge institutional traders (‘whales’) or large numbers of small traders (‘muppets’). This might be interesting too. Remarks about momentum Like in MACD, momentum has a direction. The difference is that in KCGmut momentum is a choise of the market to move above the COG (uptrend) or in (sideways) or under (downtrend), whereas in MACD the indicator shows the energy with which the market moves up or down. How does the market ‘choose’? The market doesn’t ‘think’, but still it comes to decisions. I see an analogy with the way a swarm of birds decides to go here or there, up or down, or land in a tree. All birds seem to agree but I guess a single bird has not much say in what the swarm does.
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eykpunter tarafından
14
ADR label/ // To quote @qullamaggie: " High ADR is Gold, low ADR is shit..." // Hence we display the ADR (Average Daily Range) in percent. // // We also calculate and display Long Stop-Loss suggestions. // 1. Using the ATR times a multiple. // 2. Using a percentage. // // We also calculates the Trend Template as described by Mark Minervini in his book: "Trade like a stock market wizard" // For a stock to be considered all the rules has to be fullfilled. // The only rule this indicator doesn't implement is the IBD Relative Strength ranking. // // Rules: // close > MA-50 > MA-150 > MA-200 , each condition that is true gets one point. // The current stock price is at least 30 percent above its 52-week low, gets one point // The current stock price is within at least 25 percent of its 52-week high, gets one point. // The 200-day moving average line is trending up for at least 1 month (preferably 4–5 months), gets one point. // // When we get 6 points, all the rules are fullfilled and we display an OK; // else we show the number of points (X). //
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kruskakli tarafından
1
Dynamic Momentum Ecosystem Futures verI've reuploaded my previous uploaded script Dynamic Momentum Ecosystem, but this one specifically catered to futures trading. The idea and underlying script function as usual. Lime = Price closed higher + volume transacted higher than average + MACD Histogram increases + 13 EMA increases Green = Price closed higher + MACD Histogram increases + 13 EMA increases Red = Price closed lower + MACD Histogram decreases + 13 EMA decreases Blue = Either MACD Histogram increases/decreases + 13 EMA increases/decreases Lime candle is viewed as a robust bullish sign as price increases, supported by the rising MACD Histogram, 13EMA, and higher than average volumes transacted. Perfect for dip buying near the 20/50 MAs. Green candle is viewed as bullish with the rising of MACD Histogram and EMA . Good for dip buying near the 20/50 MAs. Red candle is viewed as bearish with the declining of MACD Histogram and EMA . Good for short entry. Can also be the early sign to take profits, as it could be the preliminary signal for trend reversal. Blue candle is viewed as neutral. The upper dotted purple line is the 52candles high. The vertical grey line appears when the price > MA50 crosses above MA200, which is a golden crossover. Traders are advised to time their entry using the impulse coloring system for stocks that are trading near the dotted line, following the grey line formation.
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Kamaalique tarafından
1
Reversal off EMA-XsEMA-Xs works mostly on Forex due to the small prices and price fluctuations. It does work on Gold, oddly enough, and some others like UKX 100...but mostly on forex. It doesn't work as well on JPY pairs but occasionally does; the JPY pairs give less signals, but when a JPY pair gives a signal, its a high probability setup. Another script EMA-XL works better on the higher priced instruments like S&P, DJI, OIL, BTC etc. This script will show 3 moving averages: 13, 34, 200 and works on the 5m, 1hr, 4hr, daily charts. Signals "B" or "S" will be on the chart above or below the candles respectively. When to open: The script gives buy and sell signals based on a counter-trend move away from the MA's. When the price rises a specific percent above/below the EMA, it'll give a signal. It's best to take a trade when it gives a cluster of consecutive signals near the same price. If using on the 5m, definitely wait for consecutive signals. Also, use this in conjunction with support and resistance areas. Using with fibs for confirmation really makes this a good tool with high probability: IE, when price hits a fib and the script gives a signal, its a high probability setup. When to close: 1. After a fast move up/down you may use this to counter trade a scalp 10+ pips, but you need to be quick; applies mostly to the 5m chart. 2. If you have the tenacity wait until you see an opposite signal. With this method you may be holding a loosing trade for a while. But what I've noticed is if it trends against you, price usually with come near to the first time it signaled. You may want to stack trades on each cluster of signals. IE first trade is 1000 units, next is 2000 units, etc... then close when prices comes near the first time it signaled. By this time, if you held, you should have profit. This strategy will really test your mental resilience. 3. Wait until it comes back to one of the trendlines; remember this is a counter trend signal so price is moving away from the MA and it always returns to touch one of the MA's...LOL eventually 4. Applying to scalping on the 5m, keep the stops tight because if the instrument trends hard and fast, you'll be upside-down quickly. If you put a lot of time into using this signal generator, you can really make good profit. But with all tools, you need to master it. There are nuances to the simple logic of this script that can be both fun and frustrating. With all endeavors, if you put the time into it, you will reap the rewards. Good luck and let me know if you have any questions/comments.
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shamgar331 tarafından
Multiple HMA Original Indicator Script for calculation and color change Hull Ma written and published by huyfibo I found his version preferable and superior due to the method of mathematics used to get the Hull Ma I have duplicated huyfibo's calculation for 1 line multiple times, changed variables on each one to create 12 total lines, and customized the color and width of each to help them be identifiable on the 1 minute chart. This indicator was requested and written for a study to replace multiple SMA's with Hull MAs to compare accuracy as the Hull has much less lag. As you can see on the above chart, it displays both the 200(1 min) and 1000 ( 5 min) HMA in gold . If user was watching the 1 min chart expecting price to resist at the 200, it would not hold. Although on the 5 min chart it does. This combination gives the user the expectation that price could jump the first line and resist at the second, which it does here. Combining multiple lines into 1 also to take up much less room at the top of the chart for cleaner visual. Default values are as such so that the user can have 5 min values displayed on a 1 min chart, as well as the equiv of 200 on the 30 min chart for the 2 and 4 hour. This is a simply a matter of convenience for the study and can be unchecked to be hidden. Coded colors and lengths are to visually discern comparable values. Both 1 and 5 min timeframes are the same color, but 1 min timeframe value has larger linewidth Hull # 10 and 11 are intended for 30 min timeframe and should be unchecked for anything less as their value with be invalid. All period values, color combinations, and line width can be changed in the the input menu.
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goofoffgoose tarafından
WAP Maverick - (Dual EMA Smoothed VWAP) - [mutantdog]Short Version: This here is my take on the popular VWAP indicator with several novel features including: Dual EMA smoothing. Arithmetic and Harmonic Mean plots. Custom Anchor feat. Intraday Session Sizes. 2 Pairs of Bands. Side Input for Connection to other Indicator. This can be used 'out of the box' as a replacement VWAP, benefitting from smoother transitions and easy-to-use custom alerts. By design however, this is intended to be a highly customisable alternative with many adjustable parameters and a pseudo-modular input system to connect with another indicator. Well suited for the tweakers around here and those who like to get a little more creative. I made this primarily for crypto although it should work for other markets. Default settings are best suited to 15m timeframe - the anchor of 1 week is ideal for crypto which often follows a cyclical nature from Monday through Sunday. In 15m, the default ema length of 21 means that the wap comes to match a standard vwap towards the end of Monday. If using higher chart timeframes, i recommend decreasing the ema length to closely match this principle (suggested: for 1h chart, try length = 8; for 4h chart, length = 2 or 3 should suffice). Note: the use of harmonic mean calculations will cause problems on any data source incorporating both positive and negative values, it may also return unusable results on extremely low-value charts (eg: low-sat coins in /btc pairs). Long version: The development of this project was one driven more by experimentation than a specific end-goal, however i have tried to fine-tune everything into a coherent usable end-product. With that in mind then, this walkthrough will follow something of a development chronology as i dissect the various functions. DUAL-EMA SMOOTHING At its core this is based upon / adapted from the standard vwap indicator provided by TradingView although I have modified and changed most of it. The first mod is the dual ema smoothing. Rather than simply applying an ema to the output of the standard vwap function, instead i have incorporated the ema in a manner analogous to the way smas are used within a standard vwma. Sticking for now with the arithmetic mean, the basic vwap calculation is simply sum(source * volume) / sum(volume) across the anchored period. In this case i have simply applied an ema to each of the numerator and denominator values resulting in ema(sum(source * volume)) / ema(sum(volume)) with the ema length independent of the anchor. This results in smoother (albeit slower) transitions than the aforementioned post-vwap method. Furthermore in the case when anchor period is equal to current timeframe, the result is a basic volume-weighted ema. The example below shows a standard vwap (1week anchor) in blue, a 21-ema applied to the vwap in purple and a dual-21-ema smoothed wap in gold. Notably both ema types come to effectively resemble the standard vwap after around 24 hours into the new anchor session but how they behave in the meantime is very different. The dual-ema transitions quite gradually while the post-vwap ema immediately sets about trying to catch up. Incidentally. a similar and slower variation of the dual-ema can be achieved with dual-rma although i have not included it in this indicator, attempted analogues using sma or wma were far less useful however. STANDARD DEVIATION AND BANDS With this updated calculation, a corresponding update to the standard deviation is also required. The vwap has its own anchored volume-weighted st.dev but this cannot be used in combination with the ema smoothing so instead it has been recalculated appropriately. There are two pairs of bands with separate multipliers (stepped to 0.1x) and in both cases high and low bands can be activated or deactivated individually. An example usage for this would be to create different upper and lower bands for profit and stoploss targets. Alerts can be set easily for different crossing conditions, more on this later. Alongside the bands, i have also added the option to shift ('Deviate') the entire indicator up or down according to a multiple of the corrected st.dev value. This has many potential uses, for example if we want to bias our analysis in one direction it may be useful to move the wap in the opposite. Or if the asset is trading within a narrow range and we are waiting on a breakout, we could shift to the desired level and set alerts accordingly. The 'Deviate' parameter applies to the entire indicator including the bands which will remain centred on the main WAP. CUSTOM (W)ANCHOR Ever thought about using a vwap with anchor periods smaller than a day? Here you can do just that. I've removed the Earnings/Dividends/Splits options from the basic vwap and added an 'Intraday' option instead. When selected, a custom anchor length can be created as a multiple of minutes (default steps of 60 mins but can input any value from 0 - 1440). While this may not seem at first like a useful feature for anyone except hi-speed scalpers, this actually offers more interesting potential than it appears. When set to 0 minutes the current timeframe is always used, turning this into the basic volume-weighted ema mentioned earlier. When using other low time frames the anchor can act as a pre-ema filter creating a stepped effect akin to an adaptive MA. Used in combination with the bands, the result is a kind of volume-weighted adaptive exponential bollinger band; if such a thing does not already exist then this is where you create it. Alternatively, by combining two instances you may find potential interesting crosses between an intraday wap and a standard timeframe wap. Below is an example set to intraday with 480 mins, 2x st.dev bands and ema length 21. Included for comparison in purple is a standard 21 ema. I'm sure there are many potential uses to be found here, so be creative and please share anything you come up with in the comments. ARITHMETIC AND HARMONIC MEAN CALCULATIONS The standard vwap uses the arithmetic mean in its calculation. Indeed, most mean calculations tend to be arithmetic: sma being the most widely used example. When volume weighting is involved though this can lead to a slight bias in favour of upward moves over downward. While the effect of this is minor, over longer anchor periods it can become increasingly significant. The harmonic mean, on the other hand, has the opposite effect which results in a value that is always lower than the arithmetic mean. By viewing both arithmetic and harmonic waps together, the extent to which they diverge from each other can be used as a visual reference of how much price has changed during the anchored period. Furthermore, the harmonic mean may actually be the more appropriate one to use during downtrends or bearish periods, in principle at least. Consider that a short trade is functionally the same as a long trade on the inverse of the pair (eg: selling BTC/USD is the same as buying USD/BTC). With the harmonic mean being an inverse of the arithmetic then, it makes sense to use it instead. To illustrate this below is a snapshot of LUNA/USDT on the left with its inverse 1/(LUNA/USDT) = USDT/LUNA on the right. On both charts is a wap with identical settings, note the resistance on the left and its corresponding support on the right. It should be easy from this to see that the lower harmonic wap on the left corresponds to the upper arithmetic wap on the right. Thus, it would appear that the harmonic mean should be used in a downtrend. In principle, at least... In reality though, it is not quite so black and white. Rarely are these values exact in their predictions and the sort of range one should allow for inaccuracies will likely be greater than the difference between these two means. Furthermore, the ema smoothing has already introduced some lag and thus additional inaccuracies. Nevertheless, the symmetry warrants its inclusion. SIDE INPUT & ALERTS Finally we move on to the pseudo-modular component here. While TradingView allows some interoperability between indicators, it is limited to just one connection. Any attempt to use multiple source inputs will remove this functionality completely. The workaround here is to instead use custom 'string' input menus for additional sources, preserving this function in the sole 'source' input. In this case, since the wap itself is dependant only price and volume, i have repurposed the full 'source' into the second 'side' input. This allows for a separate indicator to interact with this one that can be used for triggering alerts. You could even use another instance of this one (there is a hidden wap:mid plot intended for this use which is the midpoint between both means). Note that deleting a connected indicator may result in the deletion of those connected to it. Preset alertconditions are available for crossings of the side input above and below the main wap, alongside several customisable alerts with corresponding visual markers based upon selectable conditions. Alerts for band crossings apply only to those that are active and only crossings of the type specified within the 'crosses' subsection of the indicator settings. The included options make it easy to create buy alerts specific to certain bands with sell alerts specific to other bands. The chart below shows two instances with differing anchor periods, both are connected with buy and sell alerts enabled for visible bands. Okay... So that just about covers it here, i think. As mentioned earlier this is the product of various experiments while i have been learning my way around PineScript. Some of those experiments have been branched off from this in order to not over-clutter it with functions. The pseudo-modular design and the 'side' input are the result of an attempt to create a connective framework across various projects. Even on its own though, this should offer plenty of tweaking potential for anyone who likes to venture away from the usual standards, all the while still retaining its core purpose as a traders tool. Thanks for checking this out. I look forward to any feedback below.
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mutantdog tarafından
12
[GB]Commodity Futures MapPuts numerous commodity futures on the same scale. The main function is RSI (without evoking "oversold/bought" concepts). Reading the chart: Much like any oscillator, the important elements are: Position relative to the middle Slope Momentum Volatility Settings: RSI length EMA smoothing Time Frame (of the indicator, not the chart( May add value when asking questions like: Is lumber trending? Is silver trending faster than gold? Is the entire asset class trending up down or not at all? Adding additional symbols is easy since the code for each symbol is identical.
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gb50k tarafından
3
Add Volume of Multiple SecuritiesThis tool can be used in so many ways but the most common use is adding the volume of multiple securities (Up to 39) This is especially helpful when analyzing cryptocurrency/fiat pairs. The user can create their own custom index; a combination of any symbols they'd like. It's also nice to see different combinations of volume when dealing with other markets; Like gold as an example - it would be nice to see different combinations of futures volume or ETF volume layered OR added together in different ways. There is an option to enable the use of the symbol - you can create a long list of useable symbols, then click through, enabling & disabling different combinations of securities; helps the user find what works best for their methodology. There is an option to "divbyclose" or "Divide the volume by the closing price"... You'll notice some exchanges price their volume in USD rather than in number of shares. This option will divide the amount of volume by the closing price - effectively converts volume priced in USD into volume priced in "shares". There is also a ratio option - once you have your index setup, you can multiply the total volume by any number, for any reason you would like. In the shared chart example, I am multiplying the total by 0.1, bringing the volume down one power of 10 so that I can compare my custom index, geometrically, to the index created by Tradingview. Layered on top of each other, I see some important differences in their shape and relative magnitude when large fluctuations occur. I am also comparing those levels of volume with levels of price above (within the horizontal price structures shown). The script can be VERY slow when you have added many securities together so be patient with it once you get about 5-10 securities added together.
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joe.dodaro tarafından
Weighted RiskONessRevision of tedtalksmacro's risk-on metric. Number go up means global markets are more risk-on; number go down means more risk-off. Weights now allow you to adjust the weights of various elements of the indicator. These are exponentials with the weight being the power / 10. I.e. setting gold's weight to 10 takes it's value ^ (10 / 10). Setting it to 5 would square root it (^5/10 = ^1/2) while 20 would square it (^20/10 = ^2). A green line means "riskONess" has gone up in the last day, red means down. Resolution minimum for the indicator is 1D due to TradingView's limitations.
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Austimize tarafından
1
Indicators Combination Framework v3 IND [DTU]Hello All, This script is a framework to analyze and see the results by combine selected indicators for (long, short, longexit, shortexit) conditions. I was designed this for beginners and users to facilitate to see effects of the technical indicators combinations on the chart WITH NO CODE You can improve your strategies according the results of this system by connecting the framework to a strategy framework/template such as Pinecoder, Benson, daveatt or custom. This is enhanced version of my previous indicator "Indicators & Conditions Test Framework " Currently there are 93 indicators (23 newly added) connected over library. You can also import an External Indicator or add Custom indicator (In the source) It is possible to change it from Indicator to strategy (simple one) by just remarking strategy parts in the source code and see real time profit of your combinations Feel free to change or use it in your source Special thanks goes to Pine wizards: Trading view (built-in Indicators), @Rodrigo, @midtownsk8rguy, @Lazybear, @Daveatt and others for their open source codes and contributions SIMPLE USAGE 1. SETTING: Show Alerts= True (To see your entries and Exists) 2. Define your Indicators (ex: INDICATOR1: ema(close,14), INDICATOR2: ema(close,21), INDICATOR3: ema(close,200) 3. Define Your Combinations for long & Short Conditions a. For Long: (INDICATOR1 crossover INDICATOR2) AND (INDICATOR3 < close) b. For Short: (INDICATOR1 crossunder INDICATOR2) AND (INDICATOR3 > close) 4. Select Strategy/template (Import strategy to chart) that you export your signals from the list 5. Analyze the best profit by changing Indicators values SOME INDICATORS DETAILS Each Indicator includes: - Factorization : Converting the selected indicator to Double, triple Quadruple such as EMA to DEMA, TEMA QEMA - Log : Simple or log10 can be used for calculation on function entries - Plot Type : You can overlay the indicator on the chart (such ema) or you can use stochastic/Percentrank approach to display in the variable hlines range - Extended Parametes : You can use default parameters or you can use extended (P1,P2) parameters regarding to indicator type and your choice - Color : You can define indicator color and line properties - Smooth : you can enable swma smooth - indicators : you can select one of the 93 function like ema(),rsi().. to define your indicator - Source : you can select from already defined indicators (IND1-4), External Indicator (EXT), Custom Indicator (CUST), and other sources (close, open...) CONDITION DETAILS - There are are 4 type of conditions, long entry, short entry, long exit, short exit. - Each condition are built up from 4 combinations that joined with "AND" & "OR" operators - You can see the results by enabling show alerts check box - If you only wants to enter long entry and long exit, just fill these conditions - If "close on opposite" checkbox selected on settings, long entry will be closed on short entry and vice versa COMBINATIONS DETAILS - There are 4 combinations that joined with "AND" & "OR" operators for each condition - combinations are built up from compare 1st entry with 2nd one by using operator - 1st and 2nd entries includes already defined indicators (IND1-5), External Indicator (EXT), Custom Indicator (CUST), and other sources (close, open...) - Operators are comparison values such as >,<, crossover,... - 2nd entry include "VALUE" parameter that will use to compare 1st indicator with value area - If 2nd indicator selected different than "VALUE", value are will mean previous value of the selection. (ex: value area= 2, 2nd entry=close, means close ) - Selecting "NONE" for the 1st entry will disable calculation of current and following combinations JOINS DETAILS - Each combination will join wiht the following one with the JOIN (AND, OR) operator (if the following one is not equal "NONE") CUSTOM INDICATOR - Custom Indicator defines harcoded in the source code. - You can call it with "CUST" in the Indicator definition source or combination entries source - You can change or implement your custom indicator by updating the source code EXTERNAL INDICATOR - You can import an external indicator by selecting it from the ext source. - External Indicator should be already imported to the chart and it have an plot function to output its signal EXPORTING SIGNAL - You can export your result to an already defined strategy template such as Pine coders, Benson, Daveatt Strategy templates - Or you can define your custom export for other future strategy templates ALERTS - By enabling show alerts checkbox, you can see long entry exits on the bottom, and short entry exits aon the top of the chart ADDITIONAL INFO - You can see all off the inputs descriptions in the tooltips. (You can also see the previous version for details) - Availability to set start, end dates - Minimize repainting by using security function options (Secure, Semi Secure, Repaint) - Availability of use timeframes - Version 3 INDICATORS LIST (More to be added): ▼▼▼ OVERLAY INDICATORS ▼▼▼ alma(src,len,offset=0.85,sigma=6).-------Arnaud Legoux Moving Average ama(src,len,fast=14,slow=100).-----------Adjusted Moving Average accdist().-------------------------------Accumulation/distribution index. cma(src,len).----------------------------Corrective Moving average dema(src,len).---------------------------Double EMA (Same as EMA with 2 factor) ema(src,len).----------------------------Exponential Moving Average gmma(src,len).---------------------------Geometric Mean Moving Average highest(src,len).------------------------Highest value for a given number of bars back. hl2ma(src,len).--------------------------higest lowest moving average hma(src,len).----------------------------Hull Moving Average. lagAdapt(src,len,perclen=5,fperc=50).----Ehlers Adaptive Laguerre filter lagAdaptV(src,len,perclen=5,fperc=50).---Ehlers Adaptive Laguerre filter variation laguerre(src,len).-----------------------Ehlers Laguerre filter lesrcp(src,len).-------------------------lowest exponential esrcpanding moving line lexp(src,len).---------------------------lowest exponential expanding moving line linreg(src,len,loffset=1).---------------Linear regression lowest(src,len).-------------------------Lovest value for a given number of bars back. mcginley(src, len.-----------------------McGinley Dynamic adjusts for market speed shifts, which sets it apart from other moving averages, in addition to providing clear moving average lines percntl(src,len).------------------------percentile nearest rank. Calculates percentile using method of Nearest Rank. percntli(src,len).-----------------------percentile linear interpolation. Calculates percentile using method of linear interpolation between the two nearest ranks. previous(src,len).-----------------------Previous n (len) value of the source pivothigh(src,BarsLeft=len,BarsRight=2).-Previous pivot high. src=src, BarsLeft=len, BarsRight=p1=2 pivotlow(src,BarsLeft=len,BarsRight=2).--Previous pivot low. src=src, BarsLeft=len, BarsRight=p1=2 rema(src,len).---------------------------Range EMA (REMA) rma(src,len).----------------------------Moving average used in RSI. It is the exponentially weighted moving average with alpha = 1 / length. sar(start=len, inc=0.02, max=0.02).------Parabolic SAR (parabolic stop and reverse) is a method to find potential reversals in the market price direction of traded goods.start=len, inc=p1, max=p2. ex: sar(0.02, 0.02, 0.02) sma(src,len).----------------------------Smoothed Moving Average smma(src,len).---------------------------Smoothed Moving Average super2(src,len).-------------------------Ehlers super smoother, 2 pole super3(src,len).-------------------------Ehlers super smoother, 3 pole supertrend(src,len,period=3).------------Supertrend indicator swma(src,len).---------------------------Sine-Weighted Moving Average tema(src,len).---------------------------Triple EMA (Same as EMA with 3 factor) tma(src,len).----------------------------Triangular Moving Average vida(src,len).---------------------------Variable Index Dynamic Average vwma(src,len).---------------------------Volume Weigted Moving Average volstop(src,len,atrfactor=2).------------Volatility Stop is a technical indicator that is used by traders to help place effective stop-losses. atrfactor=p1 wma(src,len).----------------------------Weigted Moving Average vwap(src_).------------------------------Volume Weighted Average Price (VWAP) is used to measure the average price weighted by volume ▼▼▼ NON OVERLAY INDICATORS ▼▼ adx(dilen=len, adxlen=14, adxtype=0).----adx. The Average Directional Index (ADX) is a used to determine the strength of a trend. len=>dilen, p1=adxlen (default=14), p2=adxtype 0:ADX, 1:+DI, 2:-DI (def:0) angle(src,len).--------------------------angle of the series (Use its Input as another indicator output) aroon(len,dir=0).------------------------aroon indicator. Aroons major function is to identify new trends as they happen.p1 = dir: 0=mid (default), 1=upper, 2=lower atr(src,len).----------------------------average true range. RMA of true range. awesome(fast=len=5,slow=34,type=0).------Awesome Oscilator is an indicator used to measure market momentum. defaults : fast=len= 5, p1=slow=34, p2=type: 0=Awesome, 1=difference bbr(src,len,mult=1).---------------------bollinger %% bbw(src,len,mult=2).---------------------Bollinger Bands Width. The Bollinger Band Width is the difference between the upper and the lower Bollinger Bands divided by the middle band. cci(src,len).----------------------------commodity channel index cctbbo(src,len).-------------------------CCT Bollinger Band Oscilator change(src,len).-------------------------A.K.A. Momentum. Difference between current value and previous, source - source . is most commonly referred to as a rate and measures the acceleration of the price and/or volume of a security cmf(len=20).-----------------------------Chaikin Money Flow Indicator used to measure Money Flow Volume over a set period of time. Default use is len=20 cmo(src,len).----------------------------Chande Momentum Oscillator. Calculates the difference between the sum of recent gains and the sum of recent losses and then divides the result by the sum of all price movement over the same period. cog(src,len).----------------------------The cog (center of gravity) is an indicator based on statistics and the Fibonacci golden ratio. copcurve(src,len).-----------------------Coppock Curve. was originally developed by Edwin Sedge Coppock (Barrons Magazine, October 1962). correl(src,len).-------------------------Correlation coefficient. Describes the degree to which two series tend to deviate from their ta.sma values. count(src,len).--------------------------green avg - red avg cti(src,len).----------------------------Ehler s Correlation Trend Indicator by dev(src,len).----------------------------ta.dev() Measure of difference between the series and its ta.sma dpo(len).--------------------------------Detrended Price OScilator is used to remove trend from price. efi(len).--------------------------------Elders Force Index (EFI) measures the power behind a price movement using price and volume. eom(len=14,div=10000).-------------------Ease of Movement.It is designed to measure the relationship between price and volume.p1 = div: 10000= (default) falling(src,len).------------------------ta.falling() Test if the `source` series is now falling for `length` bars long. (Use its Input as another indicator output) fisher(len).-----------------------------Fisher Transform is a technical indicator that converts price to Gaussian normal distribution and signals when prices move significantly by referencing recent price data histvol(len).----------------------------Historical volatility is a statistical measure used to analyze the general dispersion of security or market index returns for a specified period of time. kcr(src,len,mult=2).---------------------Keltner Channels Range kcw(src,len,mult=2).---------------------ta.kcw(). Keltner Channels Width. The Keltner Channels Width is the difference between the upper and the lower Keltner Channels divided by the middle channel. klinger(type=len).-----------------------Klinger oscillator aims to identify money flow’s long-term trend. type=len: 0:Oscilator 1:signal macd(src,len).---------------------------MACD (Moving Average Convergence/Divergence) mfi(src,len).----------------------------Money Flow Index s a tool used for measuring buying and selling pressure msi(len=10).-----------------------------Mass Index (def=10) is used to examine the differences between high and low stock prices over a specific period of time nvi().-----------------------------------Negative Volume Index obv().-----------------------------------On Balance Volume pvi().-----------------------------------Positive Volume Index pvt().-----------------------------------Price Volume Trend ranges(src,upper=len, lower=-5).---------ranges of the source. src=src, upper=len, v1:lower=upper . returns: -1 source=upper otherwise 0 rising(src,len).-------------------------ta.rising() Test if the `source` series is now rising for `length` bars long. (Use its Input as another indicator output) roc(src,len).----------------------------Rate of Change rsi(src,len).----------------------------Relative strength Index rvi(src,len).----------------------------The Relative Volatility Index (RVI) is calculated much like the RSI, although it uses high and low price standard deviation instead of the RSI’s method of absolute change in price. smi_osc(src,len,fast=5, slow=34).--------smi Oscillator smi_sig(src,len,fast=5, slow=34).--------smi Signal stc(src,len,fast=23,slow=50).------------Schaff Trend Cycle (STC) detects up and down trends long before the MACD. Code imported from stdev(src,len).--------------------------Standart deviation trix(src,len) .--------------------------the rate of change of a triple exponentially smoothed moving average. tsi(src,len).----------------------------The True Strength Index indicator is a momentum oscillator designed to detect, confirm or visualize the strength of a trend. ultimateOsc(len.-------------------------Ultimate Oscillator indicator (UO) indicator is a technical analysis tool used to measure momentum across three varying timeframes variance(src,len).-----------------------ta.variance(). Variance is the expectation of the squared deviation of a series from its mean (ta.sma), and it informally measures how far a set of numbers are spread out from their mean. willprc(src,len).------------------------Williams %R wad().-----------------------------------Williams Accumulation/Distribution. wvad().----------------------------------Williams Variable Accumulation/Distribution. HISTORY v3.01 ADD: 23 new indicators added to indicators list from the library. Current Total number of Indicators are 93. (to be continued to adding) ADD: 2 more Parameters (P1,P2) for indicator calculation added. Par:(Use Defaults) uses only indicator(Source, Length) with library's default parameters. Par:(Use Extra Parameters P1,P2) use indicator(Source,Length,p1,p2) with additional parameters if indicator needs. ADD: log calculation (simple, log10) option added on indicator function entries ADD: New Output Signals added for compatibility on exporting condition signals to different Strategy templates. ADD: Alerts Added according to conditions results UPD: Indicator source inputs now display with indicators descriptions UPD: Most off the source code rearranged and some functions moved to the new library. Now system work like a little bit frontend/backend UPD: Performance improvement made on factorization and other source code UPD: Input GUI rearranged UPD: Tooltips corrected REM: Extended indicators removed UPD: IND1-IND4 added to indicator data source. Now it is possible to create new indicators with the previously defined indicators value. ex: IND1=ema(close,14) and IND2=rsi(IND1,20) means IND2=rsi(ema(close,14),20) UPD: Custom Indicator (CUST) added to indicator data source and Combination Indicator source. UPD: Volume added to indicator data source and Combination Indicator source. REM: Custom indicators removed and only one custom indicator left REM: Plot Type "Org. Range (-1,1)" removed UPD: angle, rising, falling type operators moved to indicator library
Pine Script® göstergesi
dturkuler tarafından
1
Feli DMAs + WMAs + BBsThe idea of this indicator is to have in the same place: - Moving Averages - Bollinger Bands - Important crossings of MAs (golden cross, death cross, Pi Cycle) Notes: - The indicator has a main resolution that applies to all the elements and three independent resolutions for the MAs. Why? E.g. You want to see the real-time 20WMA but you're looking at a 1h chart. Normally, the last value of that MA would show on the last sunday at close and would update the next sunday close, but if you are looking at the same 1h chart but select a general resolution of 1h the 20WMA will be updated with the closing price of the last hour. Not sure if there's a best solution but it works for me. Hope it helps! :)
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pipesupertramp tarafından
Indicator Functions with Factor and HeikinAshiHello all, This indicator returns below selected indicators values with entered parameters. Also you can add factorization, functions candles, function HeikinAshi and more to the plot. VERSION: Version 1: returns series only source and Length with already defined default values Version 2: returns series with source, Length, p1 and p2 parameters according to the indicator definition (ex: ) PARAMETERS p1 p2 for defining multi arguments (See indicators list) indicator input value usable with verison=V2 selected.. ex: for alma( src , len ,offset=0.85,sigma=6), set source=source, len=length, p1=0.85 an p2=6 FACTOR: Add double triple, Quadruple factors to selected indicator (like converting EMA to 2-DEMA, 3-TEMA, 4-QEMA...) 1-Original 2-Double 3-Triple 4-Quadruple LOG Log: Use log, log10 on function entries PLOTTING: PType: Plotting type of the function on the screen Original :use original values Org. Range (-1,1): usable for indicators between range -1 and 1 Stochastic: Convert indicator values by using stochastic calculation between -1 & 1. (use AT/% length to better view) PercentRank: Convert indicator values by using Percent Rank calculation between -1 & 1. (use AT/% length to better view) ST/%: length for plotting Type for stochastic and Percent Rank options Smooth: Use SWMA for smoothing the function DISPLAY TYPES Plot Candles: Display the selected indicator as candle by implementing values Plot Ind: Display result of indicator with selected source HeikinAshi: Display Selected indicator candles with Heikin Ashi calculation INDICATOR LIST: hide = 'DONT DISPLAY', //Dont display & calculate the indicator. (For my framework usage) alma = 'alma( src , len ,offset=0.85,sigma=6)', // Arnaud Legoux Moving Average ama = 'ama( src , len ,fast=14,slow=100)', //Adjusted Moving Average acdst = 'accdist()', // Accumulation/distribution index. cma = 'cma( src , len )', //Corrective Moving average dema = 'dema( src , len )', // Double EMA (Same as EMA with 2 factor) ema = 'ema( src , len )', // Exponential Moving Average gmma = 'gmma( src , len )', //Geometric Mean Moving Average hghst = 'highest( src , len )', //Highest value for a given number of bars back. hl2ma = 'hl2ma( src , len )', //higest lowest moving average hma = 'hma( src , len )', // Hull Moving Average . lgAdt = 'lagAdapt( src , len ,perclen=5,fperc=50)', //Ehler's Adaptive Laguerre filter lgAdV = 'lagAdaptV( src , len ,perclen=5,fperc=50)', //Ehler's Adaptive Laguerre filter variation lguer = 'laguerre( src , len )', //Ehler's Laguerre filter lsrcp = 'lesrcp( src , len )', //lowest exponential esrcpanding moving line lexp = 'lexp( src , len )', //lowest exponential expanding moving line linrg = 'linreg( src , len ,loffset=1)', // Linear regression lowst = 'lowest( src , len )', //Lovest value for a given number of bars back. pcnl = 'percntl( src , len )', //percentile nearest rank. Calculates percentile using method of Nearest Rank. pcnli = 'percntli( src , len )', //percentile linear interpolation. Calculates percentile using method of linear interpolation between the two nearest ranks. rema = 'rema( src , len )', //Range EMA (REMA) rma = 'rma( src , len )', //Moving average used in RSI . It is the exponentially weighted moving average with alpha = 1 / length. sma = 'sma( src , len )', // Smoothed Moving Average smma = 'smma( src , len )', // Smoothed Moving Average supr2 = 'super2( src , len )', //Ehler's super smoother, 2 pole supr3 = 'super3( src , len )', //Ehler's super smoother, 3 pole strnd = 'supertrend( src , len ,period=3)', //Supertrend indicator swma = 'swma( src , len )', //Sine-Weighted Moving Average tema = 'tema( src , len )', // Triple EMA (Same as EMA with 3 factor) tma = 'tma( src , len )', //Triangular Moving Average vida = 'vida( src , len )', // Variable Index Dynamic Average vwma = 'vwma( src , len )', // Volume Weigted Moving Average wma = 'wma( src , len )', //Weigted Moving Average angle = 'angle( src , len )', //angle of the series (Use its Input as another indicator output) atr = 'atr( src , len )', // average true range . RMA of true range. bbr = 'bbr( src , len ,mult=1)', // bollinger %% bbw = 'bbw( src , len ,mult=2)', // Bollinger Bands Width . The Bollinger Band Width is the difference between the upper and the lower Bollinger Bands divided by the middle band. cci = 'cci( src , len )', // commodity channel index cctbb = 'cctbbo( src , len )', // CCT Bollinger Band Oscilator chng = 'change( src , len )', //Difference between current value and previous, source - source. cmo = 'cmo( src , len )', // Chande Momentum Oscillator . Calculates the difference between the sum of recent gains and the sum of recent losses and then divides the result by the sum of all price movement over the same period. cog = 'cog( src , len )', //The cog (center of gravity ) is an indicator based on statistics and the Fibonacci golden ratio. cpcrv = 'copcurve( src , len )', // Coppock Curve. was originally developed by Edwin "Sedge" Coppock (Barron's Magazine, October 1962). corrl = 'correl( src , len )', // Correlation coefficient . Describes the degree to which two series tend to deviate from their ta. sma values. count = 'count( src , len )', //green avg - red avg dev = 'dev( src , len )', //ta.dev() Measure of difference between the series and it's ta. sma fall = 'falling( src , len )', //ta.falling() Test if the `source` series is now falling for `length` bars long. (Use its Input as another indicator output) kcr = 'kcr( src , len ,mult=2)', // Keltner Channels Range kcw = 'kcw( src , len ,mult=2)', //ta.kcw(). Keltner Channels Width. The Keltner Channels Width is the difference between the upper and the lower Keltner Channels divided by the middle channel. macd = 'macd( src , len )', // macd mfi = 'mfi( src , len )', // Money Flow Index nvi = 'nvi()', // Negative Volume Index obv = 'obv()', // On Balance Volume pvi = 'pvi()', // Positive Volume Index pvt = 'pvt()', // Price Volume Trend rise = 'rising( src , len )', //ta.rising() Test if the `source` series is now rising for `length` bars long. (Use its Input as another indicator output) roc = 'roc( src , len )', // Rate of Change rsi = 'rsi( src , len )', // Relative strength Index smosc = 'smi_osc( src , len ,fast=5, slow=34)', //smi Oscillator smsig = 'smi_sig( src , len ,fast=5, slow=34)', //smi Signal stdev = 'stdev( src , len )', //Standart deviation trix = 'trix( src , len )' , //the rate of change of a triple exponentially smoothed moving average . tsi = 'tsi( src , len )', //True Strength Index vari = 'variance( src , len )', //ta.variance(). Variance is the expectation of the squared deviation of a series from its mean (ta. sma ), and it informally measures how far a set of numbers are spread out from their mean. wilpc = 'willprc( src , len )', // Williams %R wad = 'wad()', // Williams Accumulation/Distribution . wvad = 'wvad()' //Williams Variable Accumulation/Distribution I will update the indicator list when I will update the library Thanks to tradingview, @RodrigoKazuma for their open source indicators
Pine Script® göstergesi
dturkuler tarafından
1
lib_Indicators_v2_DTULibrary "lib_Indicators_v2_DTU" This library functions returns included Moving averages, indicators with factorization, functions candles, function heikinashi and more. Created it to feed as backend of my indicator/strategy "Indicators & Combinations Framework Advanced v2 " that will be released ASAP. This is replacement of my previous indicator (lib_indicators_DT) I will add an indicator example which will use this indicator named as "lib_indicators_v2_DTU example" to help the usage of this library Additionally library will be updated with more indicators in the future NOTES: Indicator functions returns only one series :-( plotcandle function returns candle series INDICATOR LIST: hide = 'DONT DISPLAY', //Dont display & calculate the indicator. (For my framework usage) alma = 'alma(src,len,offset=0.85,sigma=6)', //Arnaud Legoux Moving Average ama = 'ama(src,len,fast=14,slow=100)', //Adjusted Moving Average acdst = 'accdist()', //Accumulation/distribution index. cma = 'cma(src,len)', //Corrective Moving average dema = 'dema(src,len)', //Double EMA (Same as EMA with 2 factor) ema = 'ema(src,len)', //Exponential Moving Average gmma = 'gmma(src,len)', //Geometric Mean Moving Average hghst = 'highest(src,len)', //Highest value for a given number of bars back. hl2ma = 'hl2ma(src,len)', //higest lowest moving average hma = 'hma(src,len)', //Hull Moving Average. lgAdt = 'lagAdapt(src,len,perclen=5,fperc=50)', //Ehler's Adaptive Laguerre filter lgAdV = 'lagAdaptV(src,len,perclen=5,fperc=50)', //Ehler's Adaptive Laguerre filter variation lguer = 'laguerre(src,len)', //Ehler's Laguerre filter lsrcp = 'lesrcp(src,len)', //lowest exponential esrcpanding moving line lexp = 'lexp(src,len)', //lowest exponential expanding moving line linrg = 'linreg(src,len,loffset=1)', //Linear regression lowst = 'lowest(src,len)', //Lovest value for a given number of bars back. pcnl = 'percntl(src,len)', //percentile nearest rank. Calculates percentile using method of Nearest Rank. pcnli = 'percntli(src,len)', //percentile linear interpolation. Calculates percentile using method of linear interpolation between the two nearest ranks. rema = 'rema(src,len)', //Range EMA (REMA) rma = 'rma(src,len)', //Moving average used in RSI. It is the exponentially weighted moving average with alpha = 1 / length. sma = 'sma(src,len)', //Smoothed Moving Average smma = 'smma(src,len)', //Smoothed Moving Average supr2 = 'super2(src,len)', //Ehler's super smoother, 2 pole supr3 = 'super3(src,len)', //Ehler's super smoother, 3 pole strnd = 'supertrend(src,len,period=3)', //Supertrend indicator swma = 'swma(src,len)', //Sine-Weighted Moving Average tema = 'tema(src,len)', //Triple EMA (Same as EMA with 3 factor) tma = 'tma(src,len)', //Triangular Moving Average vida = 'vida(src,len)', //Variable Index Dynamic Average vwma = 'vwma(src,len)', //Volume Weigted Moving Average wma = 'wma(src,len)', //Weigted Moving Average angle = 'angle(src,len)', //angle of the series (Use its Input as another indicator output) atr = 'atr(src,len)', //average true range. RMA of true range. bbr = 'bbr(src,len,mult=1)', //bollinger %% bbw = 'bbw(src,len,mult=2)', //Bollinger Bands Width. The Bollinger Band Width is the difference between the upper and the lower Bollinger Bands divided by the middle band. cci = 'cci(src,len)', //commodity channel index cctbb = 'cctbbo(src,len)', //CCT Bollinger Band Oscilator chng = 'change(src,len)', //Difference between current value and previous, source - source . cmo = 'cmo(src,len)', //Chande Momentum Oscillator. Calculates the difference between the sum of recent gains and the sum of recent losses and then divides the result by the sum of all price movement over the same period. cog = 'cog(src,len)', //The cog (center of gravity) is an indicator based on statistics and the Fibonacci golden ratio. cpcrv = 'copcurve(src,len)', //Coppock Curve. was originally developed by Edwin "Sedge" Coppock (Barron's Magazine, October 1962). corrl = 'correl(src,len)', //Correlation coefficient. Describes the degree to which two series tend to deviate from their ta.sma values. count = 'count(src,len)', //green avg - red avg dev = 'dev(src,len)', //ta.dev() Measure of difference between the series and it's ta.sma fall = 'falling(src,len)', //ta.falling() Test if the `source` series is now falling for `length` bars long. (Use its Input as another indicator output) kcr = 'kcr(src,len,mult=2)', //Keltner Channels Range kcw = 'kcw(src,len,mult=2)', //ta.kcw(). Keltner Channels Width. The Keltner Channels Width is the difference between the upper and the lower Keltner Channels divided by the middle channel. macd = 'macd(src,len)', //macd mfi = 'mfi(src,len)', //Money Flow Index nvi = 'nvi()', //Negative Volume Index obv = 'obv()', //On Balance Volume pvi = 'pvi()', //Positive Volume Index pvt = 'pvt()', //Price Volume Trend rise = 'rising(src,len)', //ta.rising() Test if the `source` series is now rising for `length` bars long. (Use its Input as another indicator output) roc = 'roc(src,len)', //Rate of Change rsi = 'rsi(src,len)', //Relative strength Index smosc = 'smi_osc(src,len,fast=5, slow=34)', //smi Oscillator smsig = 'smi_sig(src,len,fast=5, slow=34)', //smi Signal stdev = 'stdev(src,len)', //Standart deviation trix = 'trix(src,len)' , //the rate of change of a triple exponentially smoothed moving average. tsi = 'tsi(src,len)', //True Strength Index vari = 'variance(src,len)', //ta.variance(). Variance is the expectation of the squared deviation of a series from its mean (ta.sma), and it informally measures how far a set of numbers are spread out from their mean. wilpc = 'willprc(src,len)', //Williams %R wad = 'wad()', //Williams Accumulation/Distribution. wvad = 'wvad()' //Williams Variable Accumulation/Distribution. } f_func(string, float, simple, float, float, float, simple) f_func Return selected indicator value with different parameters. New version. Use extra parameters for available indicators   Parameters:      string : FuncType_ indicator from the indicator list      float : src_ close, open, high, low,hl2, hlc3, ohlc4 or any      simple : int length_ indicator length      float : p1 extra parameter-1. active on Version 2 for defining multi arguments indicator input value. ex: lagAdapt(src_, length_,LAPercLen_=p1,FPerc_=p2)      float : p2 extra parameter-2. active on Version 2 for defining multi arguments indicator input value. ex: lagAdapt(src_, length_,LAPercLen_=p1,FPerc_=p2)      float : p3 extra parameter-3. active on Version 2 for defining multi arguments indicator input value. ex: lagAdapt(src_, length_,LAPercLen_=p1,FPerc_=p2)      simple : int version_ indicator version for backward compatibility. V1:dont use extra parameters p1,p2,p3 and use default values. V2: use extra parameters for available indicators   Returns: float Return calculated indicator value fn_heikin(float, float, float, float) fn_heikin Return given src data (open, high,low,close) as heikin ashi candle values   Parameters:      float : o_ open value      float : h_ high value      float : l_ low value      float : c_ close value   Returns: float heikin ashi open, high,low,close vlues that will be used with plotcandle fn_plotFunction(float, string, simple, bool) fn_plotFunction Return input src data with different plotting options   Parameters:      float : src_ indicator src_data or any other series.....      string : plotingType Ploting type of the function on the screen      simple : int stochlen_ length for plotingType for stochastic and PercentRank options      bool : plotSWMA Use SWMA for smoothing Ploting   Returns: float fn_funcPlotV2(string, float, simple, float, float, float, simple, string, simple, bool, bool) fn_funcPlotV2 Return selected indicator value with different parameters. New version. Use extra parameters fora available indicators   Parameters:      string : FuncType_ indicator from the indicator list      float : src_data_ close, open, high, low,hl2, hlc3, ohlc4 or any      simple : int length_ indicator length      float : p1 extra parameter-1. active on Version 2 for defining multi arguments indicator input value. ex: lagAdapt(src_, length_,LAPercLen_=p1,FPerc_=p2)      float : p2 extra parameter-2. active on Version 2 for defining multi arguments indicator input value. ex: lagAdapt(src_, length_,LAPercLen_=p1,FPerc_=p2)      float : p3 extra parameter-3. active on Version 2 for defining multi arguments indicator input value. ex: lagAdapt(src_, length_,LAPercLen_=p1,FPerc_=p2)      simple : int version_ indicator version for backward compatibility. V1:dont use extra parameters p1,p2,p3 and use default values. V2: use extra parameters for available indicators      string : plotingType Ploting type of the function on the screen      simple : int stochlen_ length for plotingType for stochastic and PercentRank options      bool : plotSWMA Use SWMA for smoothing Ploting      bool : log_ Use log on function entries   Returns: float Return calculated indicator value fn_factor(string, float, simple, float, float, float, simple, simple, string, simple, bool, bool) fn_factor Return selected indicator's factorization with given arguments   Parameters:      string : FuncType_ indicator from the indicator list      float : src_data_ close, open, high, low,hl2, hlc3, ohlc4 or any      simple : int length_ indicator length      float : p1 parameter-1. active on Version 2 for defining multi arguments indicator input value. ex: lagAdapt(src_, length_,LAPercLen_=p1,FPerc_=p2)      float : p2 parameter-2. active on Version 2 for defining multi arguments indicator input value. ex: lagAdapt(src_, length_,LAPercLen_=p1,FPerc_=p2)      float : p3 parameter-3. active on Version 2 for defining multi arguments indicator input value. ex: lagAdapt(src_, length_,LAPercLen_=p1,FPerc_=p2)      simple : int version_ indicator version for backward compatibility. V1:dont use extra parameters p1,p2,p3 and use default values. V2: use extra parameters for available indicators      simple : int fact_ Add double triple, Quatr factor to selected indicator (like converting EMA to 2-DEMA, 3-TEMA, 4-QEMA...)      string : plotingType Ploting type of the function on the screen      simple : int stochlen_ length for plotingType for stochastic and PercentRank options      bool : plotSWMA Use SWMA for smoothing Ploting      bool : log_ Use log on function entries   Returns: float Return result of the function fn_plotCandles(string, simple, float, float, float, simple, string, simple, bool, bool, bool) fn_plotCandles Return selected indicator's candle values with different parameters also heikinashi is available   Parameters:      string : FuncType_ indicator from the indicator list      simple : int length_ indicator length      float : p1 parameter-1. active on Version 2 for defining multi arguments indicator input value. ex: lagAdapt(src_, length_,LAPercLen_=p1,FPerc_=p2)      float : p2 parameter-2. active on Version 2 for defining multi arguments indicator input value. ex: lagAdapt(src_, length_,LAPercLen_=p1,FPerc_=p2)      float : p3 parameter-3. active on Version 2 for defining multi arguments indicator input value. ex: lagAdapt(src_, length_,LAPercLen_=p1,FPerc_=p2)      simple : int version_ indicator version for backward compatibility. V1:dont use extra parameters p1,p2,p3 and use default values. V2: use extra parameters for available indicators      string : plotingType Ploting type of the function on the screen      simple : int stochlen_ length for plotingType for stochastic and PercentRank options      bool : plotSWMA Use SWMA for smoothing Ploting      bool : log_ Use log on function entries      bool : plotheikin_ Use Heikin Ashi on Plot   Returns: float
Pine Script® kütüphanesi
dturkuler tarafından
1
RedK Auto-Stepping Ladder TraderThe RedK Auto-Stepping Ladder Trader is an experimental tool to help identify trade entry and exits for various types of trades (Trend / Momentum / Breakout and Swing trades) The underlying concept here is loosely similar to the SMAC script - in case you'd like to read some of the "script-specific" write-up . I even borrowed some of the SMAC code, but upgraded the script to Pine v5 while working. So i won't repeat write-up here on how the script works - and we'll get right into how to use in trading How to use / trade the Ladder Trader: ------------------------------------------------- The idea is to set the auto-stepping ladder to a higher timeframe, the "ladder view" helps simplify the price action to show a clear direction, then use the lower timeframe to find best entries (close or at the ladder line) and exits (on the ATR as TP target) - Entries should be as close to the ladder line as possible - a trader may decide to have a small margin above or below the ladder line where they set entry limit order - note that when stepping is enabled, the auto-stepping algo will choose the step value based on the underlying price range and the selected timeframe to move with common trader "mental values" where traders will usually gravitate - exits can be set using the optional ATR or Pct channels - by default, there's an ATR channel (golden color) for that purpose Possible usage scenarios of the Ladder Trader: -------------------------------------------------------------- - Trend / long(er) term: enter position once the ladder line switches to the color corresponding to my desired direction (example: blue for long), and hold all the way until the color changes - Swing: Take only trades in the direction of the ladder (long with blue, short with orange) - enter at the ladder line value, set TP at the desired ATR, repeat as long as the direction holds - Feel free to experiment and share back other uses you find. There are so many settings and tweaks provided for flexibility - the downside is this adds a certain level of complexity - however, i hope this will be a valuable tool to add to your trading. Few Notes: ----------------------- - The Auto-stepping algo is a bit improved to be more FOREX and Crypto-friendly - i do not trade these instruments myself, but will continue to improve the auto-stepping technique in upcoming updates - the signal line (hidden by default, and is what causes the ladder to change color) is based on my Compound Ratio Moving Average - since it's the moving average i found to provide best combination of speed and smoothness. It is used as a proxy to the price, to signal when the price is above or below the ladder level - while removing some of the whipsaws if we use the price value directly. - Broader analysis of price action should still be made using other indicators - and possibly other chart setups - we shouldn't rely on the Ladder Trader signal only - Check for overall momentum, volume movement and market sentiment before using the Ladder Trader - Also test your settings in PaperMoney - i noticed that different instruments may need different settings (for Ladder Type, Length, Rounding Technique, ATR multiplier..etc) for optimal setup that shows best signals.. Get very familiar with the Ladder Trader and it should hopefully become more helpful to you as a tradiing tool. Comments and Feedback are welcome. Good luck.
Pine Script® göstergesi
RedKTrader tarafından
41