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IKAKOver2change point Improve the accuracy of reverse sign Adding a signature using only RCI 変更点 逆張りのサインと順張りのサインを区別し、逆張りのサインは騙しができるだけ少なくなるように精度を上げました。 逆張りか順張りかは10emaと100emaの位置関係だけで区別しています。 また、RCIのみを利用した、レンジ相場用のサインを追加しました。 We have set a period such as EMA to use 5 minute bars and the first band is period 60 and 100 EMA . The color of the belt changes according to the position of the period 5EMA-25EMA-50EMA. The second sash is based on a 60- and 100-EMA period of 15 minutes. The change in the color of the obi is also a 15-minute specification. Since the above period can be changed, I think that there are customs such as 1 hour and 4 hours. Buying and selling signs are shown in green for buying and red for selling. (More frequent) For the time being, it is also possible to display the Ichimoku balance table. As for my usage method, when both the 15-minute and 5-minute bars have an uptrend (downtrend ), when each trading sign is confirmed, spread the limit just below the price. . (Because there is a commission in the market) If the color of the obi becomes yellow, the trend may be over, so wait for the signature to reach the bundle of 15 minutes instead of 5 minutes, and after the signature is confirmed, it is the same as 5 minutes. The loss cut line is often the latest low. Or when the obi is broken. . I am still studying about profitability. Sometimes we use indicators, sometimes we reach the target horizon. I think each way is good. It is a discretionary aid, and the head and tail are cut off, and the image is about 10 to 100 ＄.
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nanja600의
3
IKAKOWe have set a period such as EMA to use 5 minute bars and the first band is period 60 and 100 EMA. The color of the belt changes according to the position of the period 5EMA-25EMA-50EMA. The second sash is based on a 60- and 100-EMA period of 15 minutes. The change in the color of the obi is also a 15-minute specification. Since the above period can be changed, I think that there are customs such as 1 hour and 4 hours. Buying and selling signs are shown in green for buying and red for selling. (More frequent) For the time being, it is also possible to display the Ichimoku balance table. As for my usage method, when both the 15-minute and 5-minute bars have an uptrend (downtrend ), when each trading sign is confirmed, spread the limit just below the price. . (Because there is a commission in the market) If the color of the obi becomes yellow, the trend may be over, so wait for the signature to reach the bundle of 15 minutes instead of 5 minutes, and after the signature is confirmed, it is the same as 5 minutes. The loss cut line is often the latest low. Or when the obi is broken. . I am still studying about profitability. Sometimes we use indicators, sometimes we reach the target horizon. I think each way is good. It is a discretionary aid, and the head and tail are cut off, and the image is about 10 to 100 ＄.
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nanja600의
Point and Figure (PnF) ChartThis is live and non-repainting Point and Figure Charting tool. The tool has it’s own P&F engine and not using integrated function of Trading View. Point and Figure method is over 150 years old. It consist of columns that represent filtered price movements. Time is not a factor on P&F chart but as you can see with this script P&F chart created on time chart. P&F chart provide several advantages, some of them are filtering insignificant price movements and noise, focusing on important price movements and making support/resistance levels much easier to identify. If you are new to Point & Figure Chart then you better get some information about it before using this tool. There are very good web sites and books. Please PM me if you need help about resources. Options in the Script Box size is one of the most important part of Point and Figure Charting. Chart price movement sensitivity is determined by the Point and Figure scale. Large box sizes see little movement across a specific price region, small box sizes see greater price movement on P&F chart. There are four different box scaling with this tool: Traditional, Percentage, Dynamic (ATR), or User-Defined 4 different methods for Box size can be used in this tool. User Defined: The box size is set by user. A larger box size will result in more filtered price movements and fewer reversals. A smaller box size will result in less filtered price movements and more reversals. ATR: Box size is dynamically calculated by using ATR, default period is 20. Percentage: uses box sizes that are a fixed percentage of the stock's price. If percentage is 1 and stock’s price is $100 then box size will be $1 Traditional: uses a predefined table of price ranges to determine what the box size should be. Price Range Box Size Under 0.25 0.0625 0.25 to 1.00 0.125 1.00 to 5.00 0.25 5.00 to 20.00 0.50 20.00 to 100 1.0 100 to 200 2.0 200 to 500 4.0 500 to 1000 5.0 1000 to 25000 50.0 25000 and up 500.0 Default value is “ATR”, you may use one of these scaling method that suits your trading strategy. If ATR or Percentage is chosen then there is rounding algorithm according to mintick value of the security. For example if mintick value is 0.001 and box size (ATR/Percentage) is 0.00124 then box size becomes 0.001. And also while using dynamic box size (ATR or Percentage), box size changes only when closing price changed. Reversal : It is the number of boxes required to change from a column of Xs to a column of Os or from a column of Os to a column of Xs. Default value is 3 (most used). For example if you choose reversal = 2 then you get the chart similar to Renko chart. Source: Closing price or High-Low prices can be chosen as data source for P&F charting. Chart Style: There are 3 options for chart style: “Candle”, “Area” or “Don’t show”. As Area: As Candle: X/O Column Style: it can show all columns from opening price or only last Xs/Os. Color Theme: different themes exist => Green/Red, Yellow/Blue, White/Yellow, Orange/Blue, Lime/Red, Blue/Red Show Breakouts is the option to show Breakouts This tool detects & shows following Breakouts: Triple Top/Bottom, Triple Top Ascending, Triple Bottom Descending, Simple Buy/Sell (Double Top/Bottom), Simple Buy With Rising Bottom, Simple Sell With Declining Top Catapult bullish/bearish Show Horizontal Count Targets: Finds the congestion or consolidation pattern and if there is breakout then it calculates the Target by using Horizontal Count method (based on the width of congestion pattern). It shows how many column exist on congestion area. There is no guarantee that prices will reach the target. Show Vertical Count Targets: When Triple Top/Bottom Breakouts occured the script calculates the target by using Vertical Count Method (based on the length of the column). There is no guarantee that prices will reach the target. For both methods there is auto target cancellation if price goes below congestion bottom or above congestion top. trend is calculated by EMA of closing price of the P&F Whipsaw protection: Last options are “Show info panel” and Labeling Offset. Script shows current box size, reversal, and recommanded minimum and maximum box size. And also it shows the price level to reverse the column (Xs <-> Os) and the price level to add at least 1 more box to column. This is the option to put these labels 10, 20, 30, 50 or 100 bars away from the last bar. Labeling content and color change according to X/O column. do not hesitate to comment.
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LonesomeTheBlue의
65
Technical Analysis - Panel Info//A. Oscillators & B. Moving Averages base on TradingView's Technical Analysis by ThiagoSchmitz //C.Pivot base on Ultimate Pivot Points Alerts by elbartt //D. Summary & Panel info by anhnguyen14 Panel Info base on these indicators: A. Oscillators 1. Rsi (14) 2. Stochastic (14,3,3) 3. CCI (20) 4. ADX (14) 5. AO 6. Momentum (10) 7. MACD (12,26) 8. Stoch RSI (3,3,14,14) 9. %R (14) 10. Bull bear 11. UO (7,14,28) B. Moving Averages 1. SMA & EMA: 5-10-20-30-50-100-200 2. Ichimoku Cloud - Baseline (26) 3. Hull MA (9) C. Pivot 1. Traditional 2. Fibonacci 3. Woodie 4. Camarilla D. Summary Sum_red=A_red+B_red+C_red Sum_blue=A_blue+B_blue+C_blue sell_point=(Sum_red/32)*100 buy_point=(Sum_blue/32)*100 sell = Sum_red>Sum_blue and sell_point>50 Strong_sell = A_red>A_blue and B_red>B_blue and C_red>C_blue and sell_point>50 and not crossunder(sell_point,75) buy = Sum_red>Sum_blue and buy_point>50 Strong_buy = A_red50 and not crossunder(buy_point,75) neutral = not sell and not Strong_sell and not buy and not Strong_buy
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inno14의
7
CCI RiderThis is my thank you to the TradingView community, for the people who are sharing their scripts, which allowed me to learn Pine Script. So here is my first creation, feel free to experiment, modify and use it as you wish. It is a CCI(default value is 100, can be changed), combined with an EMA of that CCI(default 21,changeable) that then colors the background according to the strength of the signal(if selected to do so). To generate strong signals, it also uses Bollinger Bands to prevent whipsaws in high volatility situations. The best signals are generated when the CCI crosses the limits set by the user (default is 100/-100), and is above/belov its EMA. Exit signals are indicated, when the CCI crosses its EMA. Unfortunately in strong trends, this exit signal is sometimes premature, using a 3x resolution of the indicator will improve this, maybe I will implement this in a later version. I use it mostly in 15min charts and higher, I found in shorter timeframes still a lot of whipsaws, maybe experimenting with different lengths and levels will improve this. As the Indicator allows the user to experiment with different lenghts and levels, and the colors will change according the setting, I find it a nice tool to search for the best mixture for different securities and timeframes. See below an example of a nice signal. I do suggest to use it in combination with other indicators.
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TradeSL의
3
Yield Curve Version 2.55.2Welcome to Yield Curve Version 2.55.2 US10Y-US02Y * Please read description to help understand the information displayed. * NOTE - This script requires 1 real time update before accurate information is displayed, therefore WILL NOT display the correct information if the Bond Market is Closed over the Weekend. * NOTE - When values are changed Via Input setting they do take a bit to display based off all the information that is required to display this script. **FEATURES** * Input Features let you view the information the way YOU like via Input Settings * Displays Current Version Title - Toggleable On/Off via Input Settings - Default On * Plots the Yield Curve of the Bonds listed (Middle Green and Red Line) * Displays the Spread for each Bond (Top Green and Red Labels) - Toggleable On/Off via Input Settings - Change Size via Input Settings - Default On * Displays the current Yield for each Bond (Bottom Green and Red Labels) - Toggleable On/Off via Input Settings - Change Size via Input Settings - Default On - Large Size * Plots the Average of the Entire Yield Curve (BLUE Line within the Yield Curve) - Toggleable On/Off via Input Settings - Default On * Displays messages based off Yield Inversions (Orange Text) - Toggleable On/Off via Input Settings - Default On if Applicable * Displays 2 10 Inversion Warning Message (Orange Text) - Toggleable On/Off via Input Settings - Default On if Applicable * Plots Column Data at the Bottom that tries to help determine the Stability of the Yield Curve (More information Below about Stability) - Toggleable On/Off via Input Settings - Default On * Plots the 7,20 and 100 SMA of the STABILITY MAX OVERLOAD (More information Below about Stability Max Overload) - Toggleable On/Off via Input Settings - Default On for 100 SMA , 20 SMA and 7 SMA * Ability to Display Indicator Name and Value via Input Settings - Default On - Displays Stability Max Overload SMA Labels. Toggleable to Non SMA Values. See Below. **Bottom Columns are all about STABILITY** * I have tried to come up with an algorithm that helps understand the Stability of the Yield Curve. There are 3 Sections to the Bottom Columns. * Section 1 - STABILITY (Displayed as the lightest Green or Red Column) Values range from 0 to 1 where 1 equals the MOST UNSTABLE Curve and 0 equals the MOST STABLE Curve * Section 2 - STABILITY OVERLOAD (Displayed just above the Stability Column a shade darker Green or Red Column) * Section 3 - STABILITY MAX OVERLOAD (Displayed just above the Stability Overload Column a shade darker Green or Red Column) What this section tries to do is help understand the Stability of the Curve based on the inversions data. Lower values represent a MORE STABLE curve. If the Yield Curve currently has 0 Inversions all Stability factors should equal 0 and therefore not plot any lower columns. As the Yield Curve becomes more inverted each section represents a value based off that data. GREEN columns represent a MORE Stable Curve from the resolution prior and vise versa. (S SO SMO) STABILITY - tests the current Stability of the Curve itself again ranging from 0 to 1 where 0 equals the MOST Stable Curve and 1 equals the MOST Unstable Curve. STABILIY OVERLOAD - adds a value to STABLITY based off STABILITY itself. STABILITY MAX OVERLOAD - adds the Entire value to STABILITY derived again from STABILITY. This section also allows us to see the 7,20 and 100 SMA of the STABILITY MAX OVERLOAD which should always be the GREATEST of ALL STABILTY VALUES. *Indicator Labels How to use* Indicator Labels by default are turned On and will display Name and Value Labels for Stability Max Overload SMA values. To switch to (S SO SMO) Labels, toggle "Indicator Labels / SMO SMA Labels", via Input Settings. This button allows you to switch between the two Indicator Label Display options. You must have "Indicators" turned On to view the Labels and therefore is turned On by Default. To turn all of the Indicator Labels Off, simply disable "Indicators" via Input Settings. Remember - All information displayed can be tuned On or Off besides the Curve itself. There are also other Features Accessible Via the Input Settings. I will continue to update this script as there is more information I would like to gather and display! I hope you enjoy, OpptionsOnly
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UnknownUnicorn5129145의
2
Ultimate Moving Average Package (17 MA's)Included is the: VWAP Current time frame 10 EMA Current time frame 20 EMA Current time frame 50 EMA Current time frame 10 SMA Current time frame 20 SMA Current time frame 50 SMA Daily 10 EMA Daily 20 EMA Daily 50 EMA Daily 50 SMA Daily 100 SMA Daily 200 SMA Weekly 100 SMA Weekly 200 SMA Monthly 100 SMA Monthly 200 SMA All Daily/Weekly/Monthly MA's can be seen on intraday charts. Current time frame MA's change depending on your time frame. Obviously you dont need all 17 on your chart but you can pick the ones you like and disable the rest.
Pine Script® 인디케이터
Craig_Stine의
Bilateral Stochastic Oscillator - For The Sake Of EfficiencyIntroduction The stochastic oscillator is a feature scaling method commonly used in technical analysis, this method is the same as the running min-max normalization method except that the stochastic oscillator is in a range of (0,100) while min-max normalization is in a range of (0,1). The stochastic oscillator in itself is efficient since it tell's us when the price reached its highest/lowest or crossed this average, however there could be ways to further develop the stochastic oscillator, this is why i propose this new indicator that aim to show all the information a classical stochastic oscillator would give with some additional features. Min-Max Derivation The min-max normalization of the price is calculated as follow : (price - min)/(max - min) , this calculation is efficient but there is alternates forms such as : price - (max - min) - min/(max - min) This alternate form is the one i chosen to make the indicator except that both range (max - min) are smoothed with a simple moving average, there are also additional modifications that you can see on the code. The Indicator The indicator return two main lines, in blue the bull line who show the buying force and in red the bear line who show the selling force. An orange line show the signal line who represent the moving average of the max(bull,bear), this line aim to show possible exit/reversals points for the current trend. Length control the highest/lowest period as well as the smoothing amount, signal length control the moving average period of the signal line, the pre-filtering setting indicate which smoothing method will be used to smooth the input source before applying normalization. The default pre-filtering method is the sma. The ema method is slightly faster as you can see above. The triangular moving average is the moving average of another moving average, the impulse response of this filter is a triangular function hence its name. This moving average is really smooth. The lsma or least squares moving average is the fastest moving average used in this indicator, this filter try to best fit a linear function to the data in a certain window by using the least squares method. No filtering will use the source price without prior smoothing for the indicator calculation. Relationship With The Stochastic Oscillator The crosses between the bull and bear line mean that the stochastic oscillator crossed the 50 level. When the Bull line is equal to 0 this mean that the stochastic oscillator is equal to 0 while a bear line equal to 0 mean a stochastic oscillator equal to 100. The indicator and below a stochastic oscillator of both period 100 Using Levels Unlike a stochastic oscillator who would clip at the 0 and 100 level the proposed indicator is not heavily constrained in a range like the stochastic oscillator, this mean that you can apply levels to trigger signals Possible levels could be 1,2,3... even if the indicator rarely go over 3. Its then possible to create strategies using such levels as support or resistance one. Conclusion I've showed a modified stochastic oscillator who aim to show additional information to the user while keeping all the information a classical stochastic oscillator would give. The proposed indicator is no longer constrained in an hard range and posses more liberty to exploit its scale which in return allow to create strategies based on levels. For pinescript users what you can learn from this is that alternates forms of specific formulas can be extremely interesting to modify, changes can be really surprising so if you are feeling stuck, modifying alternates forms of know indicators can give great results, use tools such as sympy gamma to get alternates forms of formulas. Thanks for reading ! If you are looking for something or just want to say thanks try to pm me :)
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alexgrover의
9
Chaikin MF% (CMFP) w. Alerts, Bells & Whistles [LucF]This is Chaikin’s Money Flow indicator on a 0-100 scale with buy/sell signals, alerts and other bells & whistles. It includes: - a fast EMA (16 periods by default), - a slow MA (64 periods by default), - histograms, - 3 different sorts of crosses, - big swings identification, - buy/sell signals on CMFP crossing back from outside user-defined levels, - buy/sell signals on the slow MA pivots above/below user-defined levels, - alerts on big swings and buy/sells. This indicator started with @LazyBear code (VAPI) at: @cI8DH then changed the scale to 0-100, which I find very useful: I then added the rest. The chart above shows both clean and busy versions of the indicator. Note that the default length is 10 rather than the commonly used 20. I use CMFP in conjunction with VFI and like the fact that it is faster than VFI. The default inputs show the way I normally use this indicator, with the slow MA shown in histogram mode. I find it gives good context to the signal line. Crosses between the two are often useful. The buy/sell signals aren’t the main attraction of this indicator, and nothing to write home about. Like the big swing markers, I think it’s more realistic to view them as pointers to potentially interesting areas on charts. Their nature makes them more suited to identifying reversals. They certainly aren’t reliable enough to turn this study into a strategy and I normally don’t use them. The levels pre-defined for the buy/sell signals on CMFP are most useful on short intervals. The buy/sell signals on the slow MA pivots work on a more complete range of intervals. Optimization for your specific instruments and intervals will improve their reliability. As usual when defining alerts, be sure you already have defined proper inputs and that you are on the intended interval, as they will be used when triggering alerts.
Pine Script® 인디케이터
LucF의
Percentage Price Oscillator (PPO)The Percentage Price Oscillator (PPO) is a momentum oscillator that measures the difference between two moving averages as a percentage of the larger moving average. As with its cousin, MACD, the Percentage Price Oscillator is shown with a signal line, a histogram and a centerline. Signals are generated with signal line crossovers, centerline crossovers, and divergences. First, PPO readings are not subject to the price level of the security. Second, PPO readings for different securities can be compared, even when there are large differences in the price. Calculations PPO: {(12-day EMA - 26-day EMA)/26-day EMA} x 100 Signal Line: 9-day EMA of PPO PPO Histogram: PPO - Signal Line While MACD measures the absolute difference between two moving averages, PPO makes this a relative value by dividing the difference by the slower moving average (26-day EMA). PPO is simply the MACD value divided by the longer moving average. The result is multiplied by 100 to move the decimal place two spots. Interpretation As with MACD, the PPO reflects the convergence and divergence of two moving averages. PPO is positive when the shorter moving average is above the longer moving average. The indicator moves further into positive territory as the shorter moving average distances itself from the longer moving average. This reflects strong upside momentum. The PPO is negative when the shorter moving average is below the longer moving average. Negative readings grow when the shorter moving average distances itself from the longer moving average (goes further negative). This reflects strong downside momentum. The histogram represents the difference between PPO and its 9-day EMA, the signal line. The histogram is positive when PPO is above its 9-day EMA and negative when PPO is below its 9-day EMA. The PPO-Histogram can be used to anticipate signal line crossovers in the PPO. MACD, PPO and Price MACD levels are affected by the price of a security. A high-priced security will have higher or lower MACD values than a low-priced security, even if volatility is basically equal. This is because MACD is based on the absolute difference in the two moving averages. Because MACD is based on absolute levels, large price changes can affect MACD levels over an extended period of time. If a stock advances from 20 to 100, its MACD levels will be considerably smaller around 20 than around 100. The PPO solves this problem by showing MACD values in percentage terms. Conclusions The Percentage Price Oscillator (PPO) generates the same signals as the MACD, but provides an added dimension as a percentage version of MACD. The PPO levels of the Dow Industrials (price > 20K) can be compared against the PPO levels of IBM (price < 200) because the PPO “levels” the playing field. In addition, PPO levels in one security can be compared over extended periods of time, even if the price has doubled or tripled. This is not the case for the MACD. Limitations Despite its advantages, the PPO is still not the best oscillator to identify overbought or oversold conditions because movements are unlimited (in theory). Levels for RSI and the Stochastic Oscillator are limited and this makes them better suited to identify overbought and oversold levels. Source: Stockcharts
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getmohsin.py의
1
Multiple Moving AveragesThis is really simple. But useful for me as I don't have a paid account. No-pro users can only use 3 indicators at once and because I rely heavily on simple moving averages it can be a real pain. This one indicator features: 20 MA 50 MA 100 MA 200 MA which I find are the most useful overall. The 20 and 50 over all time frame but in particular < 1 day, the 100 and 200 at > 4 hr time frames. In general I don't use the 100 MA that much. The daily 200 MA is a critical support for many assets like stocks and cryptos. I'm by no means a pro and if you are learning I recommend becoming familiar with moving averages right at the beginning. If you want to deactivate some of the lines, you can do it via the indicator's settings icon.
Pine Script® 인디케이터
RealMcafee의
Exponential Moving Average (Set of 3) [Krypt] + 13/34 EMAsI took Krypt's script and essentially added on to it. the 20/50/100/200 EMAs should be used together as support and resistance as normal. Wait for price to break 200 EMA Wait for 50 EMA to cross 200 EMA Wait for pullback to 50 EMA to open position 20 and 100 EMAs are for extra information about moving support and resistance and 13/34 EMAs should be used in conjunction When 13 EMA crosses 34 EMA, open position When price gets far from 13/34, close position (because price will attempt to revert back to mean) This is better for scalping and swing trades than the 20/50/100/200 setup. Twitter: @AzorAhai06
Pine Script® 인디케이터
AzorAhai06의
Ichimoku Cloud Score v1.0This script calculates a simple Ichimoku Score based on the signals documented here , with a few additions. Each of the score components can be individually weighted via the script inputs . The output is a plot of the normalized Ichimoku score, in the range of -100 to 100. This script has been heavily modified from 'Ichimoku Cloud Signal Score v2.0.0 '. Credit to user 'dashed' for the initial implementation. This has been modified with several refinements: Clean/Organized Code Simplified Inputs Improved Style Scores normalized to a range (-100, 100) Bugfixes and Improvements Script Inputs: i.imgur.com
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sjb933의
6
Volume RatioDefinition: Volume ratio can be obtained in a similar way to RSI. Volume Ratio (%) = 100 - 100/(1+vr) The parameter "vr" is defined as vr=(A+U/2)/(D+U/2) A=Total volume of the periods when the price advanced D=Total volume of the periods when the price declined U=Total volume of the periods when the price unchanged After substitution, following expression can be derived and the denominator represents total volume of all periods. Volume Ratio (%) = 100 x (A+U/2)/(A+D+U) Notes: A similar method to interpret RSI can be employed. 1) Overbought level over 70% and oversold level under 30%. These levels need to be adjusted according to the periods, time frames and issues. 2) Bullish picture over 50% line and bearish picture under 50% line. 3) Crossing oversold level to the upside can be taken as a confirmation of bullish reversal. - and vice versa for a bearish reversal. 4) After a long-term bearish market, the increase of volume can happen in the early stage of a bullish market. 5) Buying opportunity can be suggested when the volume ratio is declining and the price is either advancing or leveling off.
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Mizuki32의
6
Multi-Functional Fisher Transform MTF with MACDL TRIGGERWhat this indicator gives you is a true signal when price is exhausted and ready for a fast turnaround. Fisher Transform is set for multi-time frame and also allows the user to change the length. This way a user can compare two or more time spans and lengths to look for these MACDL divergent triggers after a Fisher exhaustion. With so many indicators, it's probably best to merge these indicators and change the Fisher and Trigger colors so you can still have a look at price action (remember to scale right after merger). I've noticed from time to time when you have Fisher 34 100 and 300 up and running on two different time frames such as 5 and 15 min charts, with MACDL triggers on the 100/300 or 34/100 you get a high probability trade trigger. However, there are rare exceptions such as when price moves in a parabolic state up or down for a long period where this indication does not work. Ideally this indicator works best in a sideways market or slow rising/descending moving market. This indicator was worked on by Glaz, nmike and myself LazyBear also introduced the MACDL indicator
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QuantitativeExhaustion의
18
Retail Sentiment Indicator - Multi-Asset CFD & Fear/Greed IndexRetail Sentiment Indicator - Multi-Asset CFD & Fear/Greed Index Overview The Retail Sentiment Indicator provides real-time sentiment data for major financial instruments including stocks, forex, commodities, and cryptocurrencies. This indicator displays retail trader positioning and market sentiment using CFD data and fear/greed indices. Methodology and Scale Calculation This indicator operates on a **-50 to +50 scale** with zero representing perfect market equilibrium. Scale Interpretation: - **Zero (0)**: Market balance - exactly 50% of investors buying, 50% selling - **Positive values**: Majority buying pressure - Example: If 63% of investors are buying, the indicator shows +13 (63 - 50 = +13) - **Negative values**: Majority selling pressure - Example: If 92% of investors are selling, the indicator shows -42 (50 - 92 = -42) BTC Fear & Greed Index Scaling: The original `BTC FEAR&GREED` index is natively scaled from 0-100 by its creator. In our indicator, this data has been rescaled to also fit the -50 to +50 range for consistency with other sentiment data sources. This unified scaling approach allows for direct comparison across all instruments and data sources within the indicator. -Important Data Source Selection- Bitcoin (BTC) Data Sources When viewing Bitcoin charts, the indicator offers **two different data sources**: 1. **Default Auto-Mode**: `BTCUSD Retail CFD` - Retail CFD traders sentiment data (automatically loaded). 2. **Manual Selection**: `BTC FEAR&GREED` - Fear & Greed Index from website: alternative dot me **To access BTC Fear & Greed Index**: Input settings -> disable checkbox "Auto-load Sentiment Data" -> manually select "BTC FEAR&GREED" from the dropdown menu. US Stock Market Data Sources For US stocks and indices (S&P 500, NASDAQ, Dow Jones), there are **two data source options**: 1. **Default Auto-Mode**: Individual retail CFD sentiment data for each instrument 2. **Manual Selection**: `SNN FEAR&GREED` - SNN's Fear & Greed Index covering the overall US market sentiment. SNN was used as the name to avoid any potential trademark infringement. **To access SNN Fear & Greed Index**: When viewing US market charts, disable in input settings checkbox "Auto-load Sentiment Data" and manually select "SNN FEAR&GREED" from the dropdown menu. This distinction allows traders to choose between **instrument-specific retail sentiment** (auto-mode) or **broader market sentiment indices** (manual selection). Features - **Auto-Detection**: Automatically loads sentiment data based on the current chart symbol - **Manual Selection**: Choose from 40+ supported instruments when auto-detection is unavailable - **Multiple Data Sources**: Combines retail CFD sentiment with Fear & Greed indices - **Visual Zones**: Clear greed/fear zones with color-coded backgrounds - **Real-time Updates**: Live sentiment data from merged data sources Supported Instruments Major Indices - S&P 500, NASDAQ, Dow Jones 30, DAX Forex Pairs - Major pairs: EURUSD, GBPUSD, USDJPY, USDCHF, USDCAD - Cross pairs: EURJPY, GBPJPY, AUDUSD, NZDUSD, and 20+ others Commodities - Precious metals: Gold (XAUUSD), Silver (XAGUSD) - Energy: WTI Oil - Agricultural: Wheat, Coffee - Industrial: Copper Cryptocurrencies - Bitcoin (BTC) sentiment data - BTC & SNN Fear & Greed indices How to Use 1. **Auto Mode** (Default): Enable "Auto-load Sentiment Data" to automatically display sentiment for the current chart symbol 2. **Manual Mode**: Disable auto-load and select from the dropdown menu for specific instruments 3. **Interpretation**: - Values above 0 (green) indicate retail greed/bullish sentiment - Values below 0 (red) indicate retail fear/bearish sentiment - Fear & Greed indices use 0-100 scale (50 is neutral) Data Sources This indicator uses curated sentiment data from retail CFD providers and established fear/greed indices. Data is updated regularly and sourced from reputable financial data providers. Trading Strategy & Market Philosophy Contrarian Trading Approach The primary purpose of this indicator is based on the fundamental market principle that **the majority of retail investors are often wrong**, and markets typically move opposite to the positions held by the majority of market participants. Key Strategy Guidelines: - **Contrarian Signal**: When the majority of users are positioned on one side of the market, there is statistically greater market advantage in taking positions in the opposite direction - **Trend Exhaustion Signal**: An interesting observed phenomenon occurs when, during a long-lasting trend where the majority of investors have consistently been on the wrong side, the Sentiment indicator suddenly shows that the majority has flipped and opened positions in the direction of that long-running trend. This is often a signal of fuel exhaustion for further movement in that direction Interpretation Examples - High greed readings (majority bullish) → Consider bearish opportunities - High fear readings (majority bearish) → Consider bullish opportunities - Sudden sentiment flip during established trends → Potential trend reversal signal Technical Notes - Built with PineScript v6 - Dynamic symbol detection with fallback options - Optimized for performance with minimal resource usage - Color-coded visualization with customizable zones Data Sources & Expansion Acknowledgments We extend our gratitude to **TradingView** for enabling the use of custom data feeds based on GitHub repositories, making this comprehensive sentiment analysis possible. Data Expansion Opportunities As the operator of this indicator, I am **open to suggestions for new data sources** that could be integrated and published. If you have ideas for additional instruments or sentiment data: How to Submit Suggestions: 1. Send a **private message** with your proposal 2. Include: **instrument/data type**, **source**, and **brief description** 3. If technically feasible, we will work to import and publish the data Data Infrastructure Status Current Data Upload Process: Please note that sentiment data uploads may occasionally experience minor interruptions. However, this should not pose significant issues as sentiment data typically changes gradually rather than rapidly. Infrastructure Development: We are actively working on establishing permanent cloud-based infrastructure to ensure continuous, automated data collection and upload processes. This will provide more reliable and consistent data availability in the future. Disclaimer This indicator is for educational and informational purposes only. Sentiment data should be used as part of a comprehensive trading strategy and not as the sole basis for trading decisions. Past performance does not guarantee future results. The contrarian approach described is a market theory and may not always produce profitable results.
Pine Script® 인디케이터
OpenTrading_ai의
Perp Imbalance Zones • Pro (clean)USD Premium (perp vs spot) → (Perp − Spot) / Spot. Imbalance (z-score of that premium) → how extreme the current premium is relative to its own history over lenPrem bars. Hysteresis state machine → flips to a SHORT bias when perp-long pressure is extreme; flips to LONG bias when perp-short pressure is extreme. It exits only after the imbalance cools (prevents whipsaw). Price stretch filter (±σ) → optional Bollinger check so signals only fire when price is already stretched. HTF confirmation (optional) → require higher-timeframe imbalance to agree with the current-TF bias. Gradient visuals → line + background tint deepen as |z| grows (more extreme pressure). What you see on the pane A single line (z): Above 0 = perp richer than spot (perp longs pressing). Below 0 = perp cheaper than spot (perp shorts pressing). Guides: dotted levels at ±enterZ (entry) and ±exitZ (cool-off/exit). Background tint: Red when state = SHORT bias (perp longs heavy). Blue when state = LONG bias (perp shorts heavy). Tint intensity scales with |z| (via hotZ). Labels (optional): prints when bias flips. Alerts (optional): “Enter SHORT/LONG bias” and “Exit bias”. How to use it (playbook) Attach & set symbols Put the script on your chart. Set Spot symbol and Perp symbol to the venue you trade (e.g., BINANCE:BTCUSDT + BINANCE:BTCUSDTPERP). Read the bias SHORT bias (red background): perp longs over-extended. Look for short entries if price is at resistance, σ-stretched, or your PA system agrees. LONG bias (blue background): perp shorts over-extended. Look for long entries at support/σ-stretched down. Entries Use the bias flip as a context/confirm. Combine with your structure trigger (OB/level sweep, rejection wick, micro-break in market structure, etc.). If useSigma=true, only trade when price is already ≥ upper band (shorts) or ≤ lower band (longs). Exits Bias auto-exits when |z| falls below exitZ. You can also take profits at your levels or when the line fades back toward 0 while price mean-reverts to the middle band. Tuning (what each knob does) enterZ / exitZ (signal strictness + hysteresis) Higher enterZ → fewer, cleaner signals (e.g., 1.8–2.2). exitZ should be lower than enterZ (e.g., 0.6–1.0) to prevent flicker. lenPrem (context window for z) Larger (50–100) = steadier baseline, fewer signals. Smaller (20–30) = more reactive, more signals. smoothLen (EMA on z) 2–3 = snappier; 5–7 = smoother/laggier but cleaner. useSigma, bbLen, bbK (price-stretch filter) On filters chop. Try bbLen=100, bbK=1.0–1.5. Off if you want more frequent signals or you already gate with your own σ/Keltner. useHTF, htfTF, htfZmin (trend/confirmation) Turn on to require higher-TF imbalance agreement (e.g., trading 1H → confirm with 4H htfTF=240, htfZmin≈0.6–1.0). hotZ (visual intensity) Lower (2.0–2.5) heats up faster; higher (4.0) is more subtle. Ready-made presets Conservative swing (fewer, higher-conviction): enterZ=2.0, exitZ=1.0, lenPrem=60–80, smoothLen=5, useSigma=true, bbK=1.5, useHTF=true (240/0.8). Balanced intraday (default feel): enterZ=1.6–1.8, exitZ=0.8–1.0, lenPrem=50, smoothLen=3–4, useSigma=true, bbK=1.0–1.25, useHTF=false/true depending on trendiness. Aggressive scalping (more signals): enterZ=1.2–1.4, exitZ=0.6–0.8, lenPrem=20–30, smoothLen=2–3, useSigma=false, useHTF=false. Practical tips Don’t trade the line in isolation. Use it to time trades into your levels: VWAP bands, Monday high/low, prior POC/VAH/VAL, order blocks, etc. Perp-led reversals often snap—be ready to scale out quickly back to mid-bands. Venue matters. Keep spot & perp from the same exchange family to avoid cross-venue quirks. Alerts: enable after you’ve tuned thresholds for your timeframe so you only get high-quality pings.
Pine Script® 인디케이터
vettontide의
Optimized ADX DI CCI Strategy### Key Features: - Combines ADX, DI+/-, CCI, and RSI for signal generation. - Supports customizable timeframes for indicators. - Offers multiple exit conditions (Moving Average cross, ADX change, performance-based stop-loss). - Tracks and displays trade statistics (e.g., win rate, capital growth, profit factor). - Visualizes trades with labels and optional background coloring. - Allows countertrading (opening an opposite trade after closing one). 1. **Indicator Calculation**: - **ADX and DI+/-**: Calculated using the `ta.dmi` function with user-defined lengths for DI and ADX smoothing. - **CCI**: Computed using the `ta.cci` function with a configurable source (default: `hlc3`) and length. - **RSI (optional)**: Calculated using the `ta.rsi` function to filter overbought/oversold conditions. - **Moving Averages**: Used for CCI signal smoothing and trade exits, with support for SMA, EMA, SMMA (RMA), WMA, and VWMA. 2. **Signal Generation**: - **Buy Signal**: Triggered when DI+ > DI- (or DI+ crosses over DI-), CCI > MA (or CCI crosses over MA), and optional ADX/RSI filters are satisfied. - **Sell Signal**: Triggered when DI+ < DI- (or DI- crosses over DI+), CCI < MA (or CCI crosses under MA), and optional ADX/RSI filters are satisfied. 3. **Trade Execution**: - **Entry**: Long or short trades are opened using `strategy.entry` when signals are detected, provided trading is allowed (`allow_long`/`allow_short`) and equity is positive. - **Exit**: Trades can be closed based on: - Opposite signal (if no other exit conditions are used). - MA cross (price crossing below/above the exit MA for long/short trades). - ADX percentage change exceeding a threshold. - Performance-based stop-loss (trade loss exceeding a percentage). - **Countertrading**: If enabled, closing a trade triggers an opposite trade (e.g., closing a long opens a short). 4. **Visualization**: - Labels are plotted at trade entries/exits (e.g., "BUY," "SELL," arrows). - Optional background coloring highlights open trades (green for long, red for short). - A statistics table displays real-time metrics (e.g., capital, win rates). 5. **Trade Tracking**: - Tracks the number of long/short trades, wins, and overall performance. - Monitors equity to prevent trading if it falls to zero. ### 2.3 Key Components - **Indicator Calculations**: Uses `request.security` to fetch indicator data for the specified timeframe. - **MA Function**: A custom `ma_func` handles different MA types for CCI and exit conditions. - **Signal Logic**: Combines crossover/under checks with recent bar windows for flexibility. - **Exit Conditions**: Multiple configurable exit strategies for risk management. - **Statistics Table**: Updates dynamically with trade and capital metrics. ## 3. Configuration Options The script provides extensive customization through input parameters, grouped for clarity in the TradingView settings panel. Below is a detailed breakdown of each setting and its impact. ### 3.1 Strategy Settings (Global) - **Initial Capital**: Default `10000`. Sets the starting capital for backtesting. - **Effect**: Determines the base equity for calculating position sizes and performance metrics. - **Default Quantity Type**: `strategy.percent_of_equity` (50% of equity). - **Effect**: Controls the size of each trade as a percentage of available equity. - **Pyramiding**: Default `2`. Allows up to 2 simultaneous trades in the same direction. - **Effect**: Enables multiple entries if conditions are met, increasing exposure. - **Commission**: 0.2% per trade. - **Effect**: Simulates trading fees, reducing net profit in backtesting. - **Margin**: 100% for long and short trades. - **Effect**: Assumes no leverage; adjust for margin trading simulations. - **Calc on Every Tick**: `true`. - **Effect**: Ensures real-time signal updates for precise execution. ### 3.2 Indicator Settings - **Indicator Timeframe** (`indicator_timeframe`): - **Options**: `""` (chart timeframe), `1`, `5`, `15`, `30`, `60`, `240`, `D`, `W`. - **Default**: `""` (uses chart timeframe). - **Effect**: Determines the timeframe for ADX, DI, CCI, and RSI calculations. A higher timeframe reduces noise but may delay signals. ### 3.3 ADX & DI Settings - **DI Length** (`adx_di_len`): - **Default**: `30`. - **Range**: Minimum `1`. - **Effect**: Sets the period for calculating DI+ and DI-. Longer periods smooth trends but reduce sensitivity. - **ADX Smoothing Length** (`adx_smooth_len`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Smooths the ADX calculation. Longer periods produce smoother ADX values. - **Use ADX Filter** (`use_adx_filter`): - **Default**: `false`. - **Effect**: If `true`, requires ADX to exceed the threshold for signals to be valid, filtering out weak trends. - **ADX Threshold** (`adx_threshold`): - **Default**: `25`. - **Range**: Minimum `0`. - **Effect**: Sets the minimum ADX value for valid signals when the filter is enabled. Higher values restrict trades to stronger trends. ### 3.4 CCI Settings - **CCI Length** (`cci_length`): - **Default**: `20`. - **Range**: Minimum `1`. - **Effect**: Sets the period for CCI calculation. Longer periods reduce noise but may lag. - **CCI Source** (`cci_src`): - **Default**: `hlc3` (average of high, low, close). - **Effect**: Defines the price data for CCI. `hlc3` is standard, but users can choose other sources (e.g., `close`). - **CCI MA Type** (`ma_type`): - **Options**: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, `VWMA`. - **Default**: `SMA`. - **Effect**: Determines the moving average type for CCI signal smoothing. EMA is more responsive; VWMA weights by volume. - **CCI MA Length** (`ma_length`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Sets the period for the CCI MA. Longer periods smooth the MA but may delay signals. ### 3.5 RSI Filter Settings - **Use RSI Filter** (`use_rsi_filter`): - **Default**: `false`. - **Effect**: If `true`, applies RSI-based overbought/oversold filters to signals. - **RSI Length** (`rsi_length`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Sets the period for RSI calculation. Longer periods reduce sensitivity. - **RSI Lower Limit** (`rsi_lower_limit`): - **Default**: `30`. - **Range**: `0` to `100`. - **Effect**: Defines the oversold threshold for buy signals. Lower values allow trades in more extreme conditions. - **RSI Upper Limit** (`rsi_upper_limit`): - **Default**: `70`. - **Range**: `0` to `100`. - **Effect**: Defines the overbought threshold for sell signals. Higher values allow trades in more extreme conditions. ### 3.6 Signal Settings - **Cross Window** (`cross_window`): - **Default**: `0`. - **Range**: `0` to `5` bars. - **Effect**: Specifies the lookback period for detecting DI+/- or CCI crosses. `0` requires crosses on the current bar; higher values allow recent crosses, increasing signal frequency. - **Allow Long Trades** (`allow_long`): - **Default**: `true`. - **Effect**: Enables/disables new long trades. If `false`, only closing existing longs is allowed. - **Allow Short Trades** (`allow_short`): - **Default**: `true`. - **Effect**: Enables/disables new short trades. If `false`, only closing existing shorts is allowed. - **Require DI+/DI- Cross for Buy** (`buy_di_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a DI+ crossover DI- for buy signals; if `false`, DI+ > DI- is sufficient. - **Require CCI Cross for Buy** (`buy_cci_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a CCI crossover MA for buy signals; if `false`, CCI > MA is sufficient. - **Require DI+/DI- Cross for Sell** (`sell_di_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a DI- crossover DI+ for sell signals; if `false`, DI+ < DI- is sufficient. - **Require CCI Cross for Sell** (`sell_cci_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a CCI crossunder MA for sell signals; if `false`, CCI < MA is sufficient. - **Countertrade** (`countertrade`): - **Default**: `true`. - **Effect**: If `true`, closing a trade triggers an opposite trade (e.g., close long, open short) if allowed. - **Color Background for Open Trades** (`color_background`): - **Default**: `true`. - **Effect**: If `true`, colors the chart background green for long trades and red for short trades. ### 3.7 Exit Settings - **Use MA Cross for Exit** (`use_ma_exit`): - **Default**: `true`. - **Effect**: If `true`, closes trades when the price crosses the exit MA (below for long, above for short). - **MA Length for Exit** (`ma_exit_length`): - **Default**: `20`. - **Range**: Minimum `1`. - **Effect**: Sets the period for the exit MA. Longer periods delay exits. - **MA Type for Exit** (`ma_exit_type`): - **Options**: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, `VWMA`. - **Default**: `SMA`. - **Effect**: Determines the MA type for exit signals. EMA is more responsive; VWMA weights by volume. - **Use ADX Change Stop-Loss** (`use_adx_stop`): - **Default**: `false`. - **Effect**: If `true`, closes trades when the ADX changes by a specified percentage. - **ADX % Change for Stop-Loss** (`adx_change_percent`): - **Default**: `5.0`. - **Range**: Minimum `0.0`, step `0.1`. - **Effect**: Specifies the percentage change in ADX (vs. previous bar) that triggers a stop-loss. Higher values reduce premature exits. - **Use Performance Stop-Loss** (`use_perf_stop`): - **Default**: `false`. - **Effect**: If `true`, closes trades when the loss exceeds a percentage threshold. - **Performance Stop-Loss (%)** (`perf_stop_percent`): - **Default**: `-10.0`. - **Range**: `-100.0` to `0.0`, step `0.1`. - **Effect**: Specifies the loss percentage that triggers a stop-loss. More negative values allow larger losses before exiting. ## 4. Visual and Statistical Output - **Labels**: Displayed at trade entries/exits with arrows (↑ for buy, ↓ for sell) and text ("BUY," "SELL"). A "No Equity" label appears if equity is zero. - **Background Coloring**: Optionally colors the chart background (green for long, red for short) to indicate open trades. - **Statistics Table**: Displayed at the top center of the chart, updated on timeframe changes or trade events. Includes: - **Capital Metrics**: Initial capital, current capital, capital growth (%). - **Trade Metrics**: Total trades, long/short trades, win rate, long/short win rates, profit factor. - **Open Trade Status**: Indicates if a long, short, or no trade is open. ## 5. Alerts - **Buy Signal Alert**: Triggered when `buy_signal` is true ("Cross Buy Signal"). - **Sell Signal Alert**: Triggered when `sell_signal` is true ("Cross Sell Signal"). - **Usage**: Users can set up TradingView alerts to receive notifications for trade signals.
Pine Script™ 전략
osterhansi_의