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
Pesquisar nos scripts por "纳斯达克100场外基金+投资回报率"
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.
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
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.
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 :)
High/Low bandsGives good idea about trend.
In last 100 days the lowest price was this.
In last 100 days the highest price was this.
Price makes new 100 days high! (uptrend)
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.
3 of SlowStochastics
스토캐스틱 3개를 한번에 볼수 있습니다. 천장과 바닥은 각 100의 위치마다 존재합니다
You can see three slow stochastics at once. The ceiling and floor are located at each 100 (0 - 100 - 200- 300)
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
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.
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
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
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.
CCI with Volume Weighted EMA Here is an attempt to improve on the CCI using a volume weighted ema which is then plugged into the CCI formula.
Use:
The CCI with VW EMA is an oscillator that gives readings between -100 and +100. The usual use is to 'go long' with values over +100 and short on values less than -100.
Another use of this oscillator is a countertrend indicator where one sells at crosses under +100 and buys on crosses over -100.
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
CCI Crossover AlertThis very simple indicator will give you a blue background where the CCI crossed from below -100 to above -100, and a red background where it crossed from above 100 to below 100.
Trend Candles Full ColorThe coloring over the candle sticks isn't showing up on the picture for some reason but when you click on the indicator the color coding will appear on the chart.
Trend Candles Full Color Indicator Explanation The "Trend Candles Full Color" indicator, designed for TradingView, visually enhances candlestick charts by coloring candles based on their position relative to a simple moving average (SMA). Here's how it works and how it can benefit traders: How It Works Input : Adjust the SMA period (default is 20) to define the trend length.
Logic : The indicator compares the closing price of each candle to the SMA: Green Candle : Close is above the SMA (indicating an uptrend).
Red Candle : Close is below the SMA (indicating a downtrend).
Gray Candle : Close equals the SMA (neutral/no clear trend).
Output : Candles (body, wick, and border) are colored green, red, or gray based on the trend, overlaid directly on your price chart.
Benefits and Use Cases Trend-Following Strategies Benefit: Clearly identifies bullish (green) or bearish (red) trends, helping traders ride momentum.
Example: A swing trader using a 20-period SMA can enter long positions when candles turn green (price above SMA) and exit or short when candles turn red, confirming trend reversals.
Reversal Trading Benefit: Gray candles signal indecision near the SMA, often a precursor to reversals.
Example: A day trader might watch for gray candles after a prolonged uptrend (green candles) to anticipate a potential bearish reversal, combining with other indicators like RSI for confirmation.
Scalping Benefit: Quick visual cues for short-term trend changes on lower timeframes.
Example: A scalper on a 5-minute chart can use green candles to confirm quick bullish moves and red candles to avoid counter-trend trades, enhancing decision speed.
Position Sizing or Risk Management Benefit: Color changes highlight trend strength, aiding in adjusting trade size or stops.
Example: A trader might increase position size during strong green candle sequences (sustained uptrend) and tighten stops when gray candles appear, signaling potential trend weakness.
Tips for Use Adjust the MA Length to suit your trading style (e.g., shorter for scalping, longer for swing trading).
Combine with other indicators (e.g., support/resistance, MACD) for better accuracy.
Test on different timeframes to match your strategy.
Recommended MA Length for 1-Minute Charts Short-Term/Scalping (1-5 minute trades):10-period SMA : Very sensitive, ideal for capturing quick price movements in fast markets. May produce more noise (false signals).
20-period SMA : A balanced choice for 1-minute charts, smoothing minor fluctuations while reacting to short-term trends. A great starting point for scalpers.
Intraday Trend Trading (10-30 minute holds):50-period SMA : Captures broader intraday trends, reducing noise but lagging slightly. Suitable for larger moves within a session.
This indicator simplifies trend identification, making it a versatile tool for traders of all styles, from beginners to advanced users!
Recommended MA Length for Swing Trading / Higher Timeframes Swing Trading (holding trades for days to weeks):50-period SMA : A popular choice for swing traders on higher timeframes (e.g., 1-hour or 4-hour charts). It smooths out short-term fluctuations while identifying medium-term trends. Ideal for capturing multi-day swings.
100-period SMA : Slightly longer, this MA is great for confirming stronger, more sustained trends. It’s useful on 4-hour or daily charts for swing traders aiming to ride larger price moves.
Longer-Term Trend Trading (holding for weeks to months):200-period SMA : A classic choice for higher timeframes like daily or weekly charts. It highlights major market trends and is widely used by swing and position traders to filter out noise and focus on long-term direction.
150-period SMA : A middle ground between the 100 and 200 SMA, suitable for daily charts when you want a balance between responsiveness and trend reliability.
Enhanced SMA RibbonThe "Enhanced SMA Ribbon" indicator, implemented in TradingView's Pine Script, is a technical analysis tool that overlays multiple Simple Moving Averages (SMAs) on a price chart to help traders identify trends, potential reversals, and the overall market direction. Here's a detailed explanation of what it does:
What It Does
Calculates Multiple SMAs:
The indicator calculates 13 SMAs with different periods: 5, 6, 8, 10, 15, 20, 30, 50, 75, 100, 150, 200, and 300 bars.
Each SMA is based on the closing price (close) of the chart's data, smoothing out price fluctuations over the specified number of periods to reveal underlying trends.
Creates a Ribbon Effect:
These SMAs are plotted as lines on the chart, forming a "ribbon" where the lines spread out or converge based on the price action.
Shorter-period SMAs (e.g., 5, 6, 8) react quickly to price changes, while longer-period SMAs (e.g., 200, 300) move more slowly, creating a visual gradient of trend strength.
Visualizes Trend Direction:
When the ribbon fans out and all SMAs slope upward (e.g., shorter SMAs above longer ones), it indicates a strong uptrend.
When the ribbon compresses and slopes downward (e.g., shorter SMAs below longer ones), it suggests a downtrend.
A flat or converging ribbon can signal a consolidation phase or potential reversal.
Uses Distinct Colors:
Each SMA is assigned a unique color using RGB values, transitioning from red (short-term, e.g., SMA 5) to gray (long-term, e.g., SMA 300). The colors are:
SMA 5: Red (#FF0000)
SMA 6: OrangeRed (#FF4500)
SMA 8: Orange (#FFA500)
SMA 10: Yellow (#FFFF00)
SMA 15: GreenYellow (#ADFF2F)
SMA 20: Green (#00FF00)
SMA 30: Cyan (#00FFFF)
SMA 50: DodgerBlue (#1E90FF)
SMA 75: Blue (#0000FF)
SMA 100: Purple (#800080)
SMA 150: Magenta (#FF00FF)
SMA 200: DarkTurquoise (#00CED1)
SMA 300: Gray (#808080)
This color gradient helps traders quickly distinguish between short-, medium-, and long-term trends.
Overlays on Price Chart:
The indicator is set to overlay=true, meaning it plots directly on the price chart (e.g., candlesticks or bars) rather than in a separate pane, allowing for direct comparison with price movements.
How Traders Use It
Trend Confirmation: A widening ribbon with upward-sloping SMAs confirms a bullish trend, while a narrowing ribbon with downward-sloping SMAs confirms a bearish trend.
Crossover Signals: Crossovers between shorter and longer SMAs (e.g., SMA 5 crossing SMA 50) can indicate potential buy or sell signals, though this requires additional logic (not included here).
Support and Resistance: Longer SMAs (e.g., 200, 300) often act as dynamic support or resistance levels.
Market Context: The ribbon provides a multi-timeframe view, combining short-term reactions with long-term trends, useful for swing traders or those analyzing market cycles.
Example Behavior
In an uptrend, the price might stay above the ribbon, with shorter SMAs (e.g., 5, 10) leading the upward movement, followed by longer SMAs (e.g., 200, 300) catching up.
In a downtrend, the price might fall below the ribbon, with shorter SMAs dropping first, creating a red-dominated lower section.
During consolidation, the SMAs might bunch together, forming a tight ribbon with minimal slope.
Limitations
The indicator can become cluttered on lower timeframes (e.g., 1-minute charts) due to the number of lines.
It’s a lagging indicator since SMAs are based on past data, so it’s best used with other tools (e.g., RSI, MACD) for confirmation.
Pullback Finder AutoPullback Finder Auto — Intraday Momentum Cooling Detector
Pullback Finder Auto is designed to find stocks that have made a strong intraday run from the open and are now cooling off while still positive — the classic pullback zone where continuation entries often form.
It automatically measures the percentage change from today’s open and highlights bars where:
the stock has already run at least a chosen amount (for example +10 % above its open), and
the current price is still up but within a defined pullback range (for example between +3 % and +8 % above the open).
When those two conditions are met, you’ll see green graphics on your chart:
Green triangle markers under the candle.
Optionally, small green PB labels such as “PB 5.2 %” showing the exact percentage from open when the setup occurs.
A green highlight in the sub‑window or line plot if you left the “Change from Open %” plot active.
These are your visual cues that a pullback has formed — a stock that previously ran and is now pulling back while holding strength.
How it works
The script continuously monitors:
• High % from Open = (high − open) / open × 100
• Current % from Open = (close − open) / open × 100
A “Pullback” condition triggers only if:
the high % is greater than or equal to your minimum run threshold, and
the current % sits between your minimum and maximum pullback percentages.
When both are true, the indicator plots the green triangle and optional label.
Default parameters
Min Run % = 10
Min Current % = 3
Max Current % = 8
Session Start = 09:30 – 16:00 US Eastern
All can be changed to fit different volatility levels.
Lower values catch smaller moves; higher values restrict signals to explosive runners.
Using it in real time
During live trading, Pullback Finder Auto updates with each candle.
When a bar first enters the target zone, a green triangle and PB label will appear immediately under that candle.
These are dynamic: if price moves out of the valid zone on the same bar, the marker may disappear.
You can create an alert on “Pullback Finder Auto – Pullback Candidate” to be notified whenever new triangles appear across your active symbols.
This works on any timeframe:
use shorter timeframes such as 1‑minute or 5‑minute charts for fast, intraday detection,
use longer timeframes for a broader view of the day’s market structure.
Using it on past data (scanning backwards)
When you scroll back through history, past green triangles remain visible at every bar where the condition was true at that time.
The PB labels next to those candles show exactly how far above the open the stock was trading during the historical setup.
Use this for visual back‑testing: study how price reacted after these pullback points, adjust the thresholds, and refine your criteria for different markets.
The grey or teal line under the chart (if enabled) shows the percent‑from‑open curve so you can see the full run‑and‑cool pattern leading into each triangle signal.
If you convert the indicator into a strategy, the same condition becomes historical entry points you can test with the Strategy Tester.
Summary
1. Pullback Finder Auto paints green triangles and PB labels whenever an intraday pullback fits your criteria.
2. It runs dynamically in real‑time and also preserves markers for historical review.
3. Adjust the thresholds to match volatility or timeframe.
4. Ideal for visual scanning, watchlist alerts, or integration into a lightweight screening strategy.
Complete Indicator Analysis By: arisutikno📊 3 MAIN COMPONENTS
1. EMA (Exponential Moving Average)
Function: Detect price trends and momentum
Periods: 8, 21, 50, 100, 200 + SMA 200
Purpose:
EMA 8-21: Short-term trend
EMA 50-100: Medium-term trend
EMA 200: Long-term trend
2. FIBONACCI RETRACEMENT & EXTENSION
Function: Identify support/resistance levels and profit targets
Retracement Levels: 0.5, 0.618, 0.786 (pullback areas)
Extension Levels: 1.272, 1.618, 2.0 (profit targets)
Purpose: Determine trading entry and exit points
3. DYNAMIC SUPPORT & RESISTANCE
Function: Detect important price levels
Based on: High/Low within specific period
Purpose: Identify potential price reversal areas
⚙️ ADDITIONAL FEATURES
Individual Toggles: Enable/disable each component
Color Customization: Adjust colors according to preference
Clean Visualization: Neat lines and labels, no clutter
Choppiness Index | CipherDecodedThe Choppiness Index is a multi-timeframe regime indicator that measures whether price action is trending or consolidating.
This recreation was inspired by the Choppiness Index chart from Checkonchain, with full credit to their team for the idea.
🔹 How It Works
CI = 100 * log10( SUM(ATR(1), n) / (highest(high, n) – lowest(low, n)) ) / log10(n)
Where:
n – lookback length (e.g. 14 days / 10 weeks / 10 months)
ATR(1) – true-range of each bar
SUM(ATR(1), n) – total true-range over n bars
highest(high, n) and lowest(low, n) – price range over n bars
Low values → strong trend
High values → sideways consolidation
Below is a simplified function used in the script for computing CI on any timeframe:
f_ci(_n) =>
_tr = ta.tr(true)
_sum = math.sum(_tr, _n)
_hh = ta.highest(high, _n)
_ll = ta.lowest(low, _n)
_rng = _hh - _ll
_rng > 0 ? 100 * math.log10(_sum / _rng) / math.log10(_n) : na
Consolidation Threshold — 50.0
Trend Threshold — 38.2
When Weekly CI < Trend Threshold, a trending zone (yellow) appears.
When Weekly CI > Consolidation Threshold, a consolidation zone (purple) appears.
Users can toggle either background independently.
🔹 Example Background Logic
bgcolor(isTrend and Trend ? color.new(#f3e459, 50) : na, title = "Trending", force_overlay = true)
bgcolor(isConsol and Cons ? color.new(#974aa5, 50) : na, title = "Consolidation", force_overlay = true)
🔹 Usage Tips
Observe the Weekly CI for regime context.
Combine with price structure or trend filters for signal confirmation.
Low CI values (< 38) indicate strong trend activity — the market may soon consolidate to reset.
High CI values (> 60) reflect sideways or range-bound conditions — the market is recharging before a potential new trend.
🔹 Disclaimer
This indicator is provided for educational purposes.
No trading outcomes are guaranteed.
This tool does not guarantee market turns or performance; it should be used as part of a broader system.
Use responsibly and perform your own testing.
🔹 Credits
Concept origin — Checkonchain Choppiness Index
Aynet- True Wick Projector for Non-Standard ChartsTechnical Explanation: "Data Projection and Synchronization"
This script is, at its core, a "data projection" tool. The fundamental technical problem it solves is compensating for the information loss that occurs when using different data visualization models.
1. The Core Problem: Information Loss
Standard Charts (Time-Based): Normal candlesticks are time-based. Each candle represents a fixed time interval (like 1 hour or 1 day) and displays the complete Open, High, Low, and Close (OHLC) data for that period. The "wicks" show the volatility and the extreme price points (the High and Low).
Non-Standard Charts (Price/Momentum-Based): Charts like Kagi, Renko, or Line Break filter out time. Their only concern is price movement. While one Renko box or Kagi line is forming, 10 or more time-based candles might have formed in the background. During this "noise filtering" process, the true high and low values (the wicks) from those underlying candles are lost.
The problem is this: A trader looking at a non-standard chart cannot see how high or low the price actually went while that block or line was forming. This is a critical loss of information regarding market volatility, support/resistance levels, and price rejection.
2. The Technical Solution: A "Dual Data Stream"
This script intelligently combines two different data streams to compensate for this information loss:
Main Stream (Current Chart): The open and close data from your active Kagi, Renko, etc., chart.
Secondary Stream (Projected Data): The high and low data from the underlying standard (time-based) chart.
3. The Code's Methodical Steps
Step 1: Identifying the Data Source (syminfo...)
This step precisely identifies the source for the secondary data stream. By using syminfo.prefix + ":" + syminfo.ticker (e.g., "NASDAQ:AAPL"), it guarantees that the data is pulled from the exact correct instrument and exchange.
Step 2: Data Request & "Lookahead" Synchronization (request.security)
This is the most critical part of the operation.
request.security(...): This is the function Pine Script uses to pull data from another dataset (the secondary stream) onto the current chart.
: This tells the function, "The only data I care about is the 'High' and 'Low' of the standard candle from that timeframe."
lookahead = barmerge.lookahead_on (The Critical Key): This command solves the "time paradox."
Normally (without this): request.security fetches data from the last completed bar. But as your Kagi bar is currently forming, the standard candle is also currently forming. This would cause the data to always be one bar behind (lag).
With lookahead_on: This permits the script to "look ahead" at the data from the currently forming, incomplete standard bar. Because of this, as your Kagi bar moves, the true wick data is updated in real-time. This achieves real-time synchronization.
Step 3: Visual Engineering (plotcandle)
After the script retrieves the data, it must "draw" it. However, it only wants to draw the wicks, not the candle bodies.
bodyTop and bodyBottom: First, it finds the top and bottom of the current Kagi bar's body (using math.max(open, close)).
Plotting the Upper Wick (Green):
It calls the plotcandle function and instructs it to draw a fake candle.
It fixes this fake candle's Open, Low, and Close (open, low, close) values to the top of the Kagi bar's body (bodyTop).
It only sets the High (high) value to the realHigh it fetched with request.security.
The result: A wick is drawn from the bodyTop level up to the realHigh level, with no visible body.
Plotting the Lower Wick (Red):
It applies the reverse logic.
It fixes the fake candle's Open, High, and Close values to the bottom of the Kagi bar's body (bodyBottom).
It only sets the Low (low) value to the realLow.
The result: A lower wick is drawn from bodyBottom down to realLow.
Invisibility (color.new(color.white, 100)):
In both plotcandle calls, the color (body color) and bordercolor are set to 100 transparency. This makes the "fake" candle bodies completely invisible, leaving only the colored wicks.
Conclusion (Technical Summary)
This script reclaims the volatility data (the wicks) that is naturally sacrificed by non-standard charts.
It achieves this with technical precision by creating a secondary data stream using request.security and synchronizing it with zero lag using the lookahead_on parameter.
Finally, it intelligently manipulates the plotcandle function (by creating invisible bodies) to project this lost data onto your Kagi/Renko chart as an "augmented reality" layer. This allows a trader to benefit from the clean, noise-filtered view of a non-standard chart without losing access to the full picture of market volatility.
CHOCH + FVG Signals [30m Optimized]CHOCH + FVG Signals
🎯 What It Does:
This script automatically scans your chart for high-probability Smart Money Concepts (SMC) setups based on two key institutional trading principles:
Change of Character (CHOCH) – A shift in market structure signaling potential reversal
Fair Value Gap (FVG) – An imbalance zone where price moved too fast, often acting as support/resistance
When both conditions align, the script plots clear Buy (▲) and Sell (▼) signals directly on your chart — ideal for intraday trading on the 30-minute timeframe (but works on any timeframe).
✅ Key Features:
🔹 Visual Fair Value Gaps
Green shaded zones = Bullish FVGs (potential support)
Red shaded zones = Bearish FVGs (potential resistance)
Toggle on/off in settings
🔹 Smart CHOCH Detection
Detects breaks of recent swing highs/lows with proper context
Avoids false signals by confirming prior price structure
🔹 Clear Trade Signals
Green ▲ below bar = Buy signal (Bullish CHOCH + FVG confluence)
Red ▼ above bar = Sell signal (Bearish CHOCH + FVG confluence)
🔹 Customizable Filters
Option to require FVG for a signal (recommended for higher accuracy)
Adjust sensitivity via swing detection settings (default optimized for 30m)
🔹 Alert-Ready
Built-in alert conditions for instant notifications on TradingView mobile/desktop
⚙️ How to Use:
Apply to a 30-minute chart (e.g., EURUSD, Gold, NAS100, BTC)
Wait for at least 50–100 bars to load (so swing points appear)
Look for:
A green triangle (▲) → consider long entry near FVG support
A red triangle (▼) → consider short entry near FVG resistance
Confirm with price action: Wait for a strong candle close or rejection at the FVG zone
Use stop-loss below/above the FVG and target recent liquidity pools
💡 Pro Tip: Best used during high-volume sessions (e.g., London Open 7–10 AM UTC, NY Open 12:30–3:30 PM UTC).
🛠️ Settings (Inputs):
Show Fair Value Gaps
✅ Enabled
Visualize FVG zones
Max FVG History
100 bars
Prevent chart clutter
Require FVG for Signal?
✅ Enabled
Higher-quality setups (disable to test CHOCH-only)
⚠️ Important Notes:
This is a signal generator, not financial advice. Always manage risk.
Works best in trending or breaking markets — avoid during low-volatility ranges.
FVGs may get filled (tested) before price continues — patience improves results.
Backtest on historical data before live trading.
📣 Ideal For:
Retail traders learning Smart Money Concepts (SMC)
Price action traders seeking institutional-level confluence
Intraday scalpers & swing traders on 30m–1H timeframes
