Repulse-AORepulsion Engine is a proof of concept for a series of indicators using repulsion, as re-contextualized from the following:
www.quantamagazine.org
In my view, the technique is unique, and therefore a new category of indicator, but that distinction will, obviously, be left to the community and to the moderators. One thing that can be said is repulsion appears to be applicable to more than RSI, and while it's not featured here, it has been tested in other related work using SMA, EMA and HMA signal artefacts. Still, the script is raw and not overly clean. One might hope for a git-like versioning system and vertically oriented script window, but that would be playing the blame game, and I would lose that battle. Trading View is awesome as it is and getting better all the time.
This script features an experimental oscillator branch, also utilising some off-in-left-field number theory by which a link is posited to have been made to a fractal domain, around which the oscillator 'more subtly' picks up price movement. Three interrelated pairs are involved, but to avoid long-winded explanation, you might want to just play with changing out XRPUSDT and XRPBTC for two other similarly related securities. Several other scripts on the workbench over here automate this process.
No doubt, more able programmers will easily enhance this and other scripts which arise. If there's interest in this one, more of the raw 'it's not really ready' scripts will likely follow, so people can dig in and do their own mashups sooner rather than later, tossing what is bad and enhancing what is good.
It might be better, and garner a lot less flaming, if this indicator is described as experimental all the way through.
Stubs are present here for users to test performance on their own.
I hope you get something out of it, and if you make one of your own or move this along to a higher standard that you drop me a line to let me know. I'm always eager to learn and to grow.
"the script" için komut dosyalarını ara
Binary Option Turbo M1 by MercalonaAuto risk
You are diving into a high-risk investment. We are not responsible for losses, the only certainty is that they will come, the most important thing is to manage them. Test this script on a demo account, and use the backtest. Make sure you are familiar with it before using real money. Use all your experience and other assistance for better accuracy. Do not risk more than 5% per day. Try to use a maximum of 1-2%.
Recommendations
It is highly recommended whenever trying to make entries in stronger areas
Try to make entries when the graph is in trend and with good movements. It is better to lose an entry than to lose money.
Check if the chart is already with good accuracy before making your entry. At least 65%.
Try to make entries when the payout is above 75%. This will help you with risk / return.
About the Script
This script was developed to identify good entry areas quickly and safely. We recommend using in binary option, where the next candle is successful. Although it can also be used in other markets, using a larger timeframe, such as 1h or 4h.
How it works?
This script is based on trends, up and down, where up trend, we look for "CAL" entries in retractions, and down trends, the entries will be "PUT". Always operate in favor of the trend for better accuracy. A session filter is also displayed. The Filter is based on the New York and London session. In these periods there is a greater market volatility, where it is recommended to operate and avoid losses. In addition, there is also a (no trend) filter. Where it shows whether the chart is volatile or not, even during open market sessions.
What is the final result?
This script will show good entries areas. These areas are represented with lines. The lines closest to the current price are thinner lines. And the lines far from price are thicker. The thick lines represent stronger areas and are resistant to price. This means that there is a greater possibility of reversal when prices touch these lines.
Settings (mode)
There are 2 configuration modes:
1. MODERATELY
2. AGGRESSIVE
Using the "MODERATELY" mode, the signals are rarer, here we expect the price to hit the best areas indicated. To place the entry. Here we expect greater accuracy.
In "AGGRESSIVE" mode, we don't expect good entries. Whenever the price hits entry areas it will be considered an entry. In this case, the accuracy is less, since the areas do not have a great potential for reversion.
Settings (Length)
Here the number of bars can be configured for the calculation of support and resistance areas. A low amount may not be enough to check for good areas. And a very large area can be confused with areas that really matter. Try to check the best quantity for the chart you want to trade.
Settings (Win Rate Limit)
Place the limit of analyzed signals in this field. It is restricted to the “Win Rate Max Bars” field, which will be explained below. If the configured limit is not reached, the cause is that there were not enough signals within the configured bar limit. ATTENTION: Understand that a high value will cause a slow calculation of the script.
Settings (Win Rate Max Bars)
This is information is used to limit the number of bars in the “Win Rate” calculation. ATTENTION: Understand that a high value will cause a slow calculation of the script.
Settings (Sessions)
There are 2 other configurations. New York session and London session. You can see how it works reading below.
Indicator “Stars of Recommendation”
The indicator has 3 stars of recommendation.
NO TRADE (There is no positive point to take chances)
In Session (At least 1 open market, this is a positive point to take chances)
In Trend (There is a good probability of assertiveness when it is on trend)
More than one identified area. (Generally, when there is more than one area, the more distant areas become stronger and stronger. This is a positive point when the price reaches them.)
Good luck ❤️
Please feedback us.
We hope this helps you!
Pearsons R historic breaks ( for making strategy out of it )Pearsons R adjustments of linear regressions is a good tool to analyse visually the trend basis channeling of the market,
one of the common challenges in the scripts which i came across the tradingview community is the lack of the historic places put over the charts where the price actually crossed up/below the channel boundaries,
For me in order to do so we would have to replay the scripts over and over.
So I came up with an addon extension to a good script on the community ()
I have added the historic marks over the charts ( blue/green/red/orange Arrows which you see on the charts)
These arrows are the places where the price have crossed the channel boundaries historically
So,
Blue arrow = Bull Intent ,Place where the upper channel boundary line have been crossed
Orange arrow = Bear Intent , Place where the Lower channel boundary line have been crossed
Green arrow = Bull Max , Place where the Maximum Upper channel boundary line have been crossed
Red arrow = Bear Max , Place where the Minimum Lower channel boundary line have been crossed
For me this type of approach is good for making a strategy out of the concepts visually, in congestion to other indicators
I would suggest you guys to check this on alert basis with your setups to derive out the best from linear regressions
Lastly it would be a pleasure to give credits to the creators of Pearsons R scripts in Tradingview
@midtownsk8rguy
@TradeBoneDogs
@x11joe
Also thanking Tradingview for providing us such an awesome community and platform :)
MTF Oscillator Framework [PineCoders]This framework allows Pine coders to quickly build a complete multi-timeframe oscillator from any calculation producing values around a centerline, whether the values are bounded or not. Insert your calculation in the script and you have a ready-to-publish MTF Oscillator offering a plethora of presentation options and features.
█ HOW TO USE THE FRAMEWORK
1 — Insert your calculation in the `f_signal()` function at the top of the "Helper Functions" section of the script.
2 — Change the script's name in the `study()` declaration statement and the `alertcondition()` text in the last part of the "Plots" section.
3 — Adapt the default value used to initialize the CENTERLINE constant in the script's "Constants" section.
4 — If you want to publish the script, copy/paste the following description in your new publication's description and replace the "OVERVIEW" section with a description of your calculations.
5 — Voilà!
═════════════════════════════════════════════════════════════════════════
█ OVERVIEW
This oscillator calculates a directional value of True Range. When a bar is up, the positive value of True Range is used. A negative value is used when the bar is down. When there is no movement during the bar, a zero value is generated, even if True Range is different than zero. Because the unit of measure of True Range is price, the oscillator is unbounded (it does not have fixed upper/lower bounds).
True Range can be used as a metric for volatility, but by using a signed value, this oscillator will show the directional bias of progressively increasing/decreasing volatility, which can make it more useful than an always positive value of True Range.
The True Range calculation appeared for the first time in J. Welles Wilder's New Concepts in Technical Trading Systems book published in 1978. Wilder's objective was to provide a reliable measure of the effective movement—or range—between two bars, to measure volatility. True Range is also the building block used to calculate ATR (Average True Range), which calculates the average of True Range values over a given period using the `rma` averaging method—the same used in the calculation of another of Wilder's remarkable creations: RSI.
█ CONCEPTS
This oscillator's design stems from a few key concepts.
Relative Levels
Other than the centerline, relative rather than absolute levels are used to identify levels of interest. Accordingly, no fixed levels correspond to overbought/oversold conditions. Relative levels of interest are identified using:
• A Donchian channel (historical highs/lows).
• The oscillator's position relative to higher timeframe values.
• Oscillator levels following points in time where a divergence is identified.
Higher timeframes
Two progressively higher timeframes are used to calculate larger-context values for the oscillator. The rationale underlying the use of timeframes higher than the chart's is that, while they change less frequently than the values calculated at the chart's resolution, they are more meaningful because more work (trader activity) is required to calculate them. Combining the immediacy of values calculated at the chart's resolution to higher timeframe values achieves a compromise between responsiveness and reliability.
Divergences as points of interest rather than directional clues
A very simple interpretation of what constitutes a divergence is used. A divergence is defined as a discrepancy between any bar's direction and the direction of the signal line on that same bar. No attempt is made to attribute a directional bias to divergences when they occur. Instead, the oscillator's level is saved and subsequent movement of the oscillator relative to the saved level is what determines the bullish/bearish state of the oscillator.
Conservative coloring scheme
Several additive coloring conditions allow the bull/bear coloring of the oscillator's main line to be restricted to specific areas meeting all the selected conditions. The concept is built on the premise that most of the time, an oscillator's value should be viewed as mere noise, and that somewhat like price, it only occasionally conveys actionable information.
█ FEATURES
Plots
• Three lines can be plotted. They are named Main line , Line 2 and Line 3 . You decide which calculation to use for each line:
• The oscillator's value at the chart's resolution.
• The oscillator's value at a medium timeframe higher than the chart's resolution.
• The oscillator's value at the highest timeframe.
• An aggregate line calculated using a weighed average of the three previous lines (see the Aggregate Weights section of Inputs to configure the weights).
• The coloring conditions, divergence levels and the Hi/Lo channel always apply to the Main line, whichever calculation you decide to use for it.
• The color of lines 2 and 3 are fixed but can be set in the "Colors" section of Inputs.
• You can change the thickness of each line.
• When the aggregate line is displayed, higher timeframe values are only used in its calculation when they become available in the chart's history,
otherwise the aggregate line would appear much later on the chart. To indicate when each higher timeframe value becomes available,
a small label appears near the centerline.
• Divergences can be shown as small dots on the centerline.
• Divergence levels can be shown. The level and fill are determined by the oscillator's position relative to the last saved divergence level.
• Bull/bear markers can be displayed. They occur whenever a new bull/bear state is determined by the "Main Line Coloring Conditions".
• The Hi/Lo (Donchian) channel can be displayed, and its period defined.
• The background can display the state of any one of 11 different conditions.
• The resolutions used for the higher timeframes can be displayed to the right of the last bar's value.
• Four key values are always displayed in the Data Window (fourth icon down to the right of your chart):
oscillator values for the chart, medium and highest timeframes, and the oscillator's instant value before it is averaged.
Main Line Coloring Conditions
• Nine different conditions can be selected to determine the bull/bear coloring of the main line. All conditions set to "ON" must be met to determine the bull/bear state.
• A volatility state can also be used to filter the conditions.
• When the coloring conditions and the filter do not allow for a bull/bear state to be determined, the neutral color is used.
Signal
• Seven different averages can be used to calculate the average of the oscillator's value.
• The average's period can be set. A period of one will show the instant value of the oscillator,
provided you don't use linear regression or the Hull MA as they do not work with a period of one.
• An external signal can be used as the oscillator's instant value. If an already averaged external value is used, set the period to one in this indicator.
• For the cases where an external signal is used, a centerline value can be set.
Higher Timeframes
• The two higher timeframes are named Medium timeframe and Highest timeframe . They can be determined using one of three methods:
• Auto-steps: the higher timeframes are determined using the chart's resolution. If the chart uses a seconds resolution, for example,
the medium and highest resolutions will be 15 and 60 minutes.
• Multiples: the timeframes are calculated using a multiple of the chart's resolution, which you can set.
• Fixed: the set timeframes do not change with the chart's resolution.
Repainting
• Repainting can be controlled separately for the chart's value and the higher timeframe values.
• The default is a repainting chart value and non-repainting higher timeframe values. The Aggregate line will thus repaint by default,
as it uses the chart's value along with the higher timeframes values.
Aggregate Weights
• The weight of each component of the Aggregate line can be set.
• The default is equal weights for the three components, meaning that the chart's value accounts for one third of the weight in the Aggregate.
High Volatility
• This provides control over the volatility filter used in the Main line's coloring conditions and the background display.
• Volatility is determined to be high when the short-term ATR is greater than the long-term ATR.
Colors
• You can define your own colors for all of the oscillator's plots.
• The default colors will perform well on both white and black chart backgrounds.
Alerts
• An alert can be defined for the script. The alert will trigger whenever a bull/bear marker appears in the indicator's display.
The particular combination of coloring conditions and the display of bull/bear markers when you create the alert will thus determine when the alert triggers.
Once the alerts are created, subsequent changes to the conditions controlling the display of markers will not affect the existing alert(s).
• You can create multiple alerts from this script, each triggering on different conditions.
Backtesting & Trading Engine Signal Line
• An invisible plot named "BTE Signal" is provided. It can be used as an entry signal when connected to the PineCoders Backtesting & Trading Engine as an external input.
It will generate an entry whenever a marker is displayed.
Look first. Then leap.
Trend Follower - Light Mode | jhFollow up script for my Trend Follower script.
I'm used to dark mode, so I coded a few key plots in white, so those are changed into black on the script.
Notably:
- > 1 ATR in black dots along the baseline
- Current and previous ATR text labels to the right of the price
- A text label spacing input that allows you to adjust the spacing for text label from price.
This is a trend following system that combines 3 indicators which provide different functionalities, also a concept conceived by VP's No Nonsense FX / NNFX method.
1. Baseline
The main baseline filter is an indicator called Modular Filter created by Alex Grover
- www.tradingview.com
- Alex Grover - Modular Filter
-------
That's the moving average like baseline following price, filtering long and short trends and providing entry signals when the price crosses the baseline.
Entry signal indicated with arrows.
2. Volume/Volatility, I will called it Trend Strength
The next indicator is commonly known as ASH, Absolute Strength Histogram.
This indicator was shared by VP as a two line cross trend confirmation indicator, however I discovered an interesting property when I modified the calculation of the histogram.
- Alex Grover Absolute Strength
-------
My modification and other info here
- Absolute Strength Histogram v2
-------
I simplified the display of the trend strength by plotting squares at the bottom of the chart.
- Lighted Squares shows strength
- Dimmed Squares shows weakness
3. Second Confirmation / Exits / Trailing Stop
Finally the last indicator is my usage of QQE (Qualitative Quantitative Estimation), demonstrated in my QQE Trailing Line Indicator
- QQE Trailing Line for Trailing Stop
-------
Three usages of this amazing indicator, serving as :
- Second trend confirmation
- Exit signal when price crosses the trailing line
- Trailing stop when you scaled out the second trade
This indicator is plotted with crosses.
Additional plots and information
Bar Color
- Green for longs, Red for shorts, White when the baseline direction conflicts with the QQE trailing line direction
- When it's white, it's usually ranging and not trending, ASH will also keep you off ranging periods.
-------
ATR Filter
- White circles along the baseline, they will show up if the price has moved more than one ATR from the baseline
- The default allowance is 1 ATR.
-------
The previous and current ATR value
- Label on the right side of the chart showing the previous and current value of ATR
Trend Direction Helper (ZigZag and S/R and HH/LL labels)Hey everyone
First of all, I'd like to thank Ricardo Santos, Backtest Rookies for the inspiration for this script.
Actually, most of it is coming from them and I only mixed them up (and added my secret sauce ^^). If some of you are not thinking about a trading secret sauce, please get serious for a moment :)
Some of you asked me how I do to set the trend direction. You all understood that if you get an UP label, then the price should go up and vice-versa for down.
But it's not so easy to define the good signals for each asset and each timeframe. I'm going to repeat what I said yesterday because ... well... that's what trading is about
So quoting myself here "The inputs set by default will have to be changed for your asset/timeframe and can't be generic for everything. You have to play with the inputs until the signals will make sense to you
The indicator/strategy with a unique configuration that you'll never check or update according to the market condition DOES NOT exit. "
BUT... a bit of patience and practice and you might do wonders.
The Method
I never realized until now but by connecting the higher highs/lower lows, I was drawing zigzag lines.
The Zig Zag Master is Ricardo Santos . Please give him a follow, he's awesome
For those who don't want to draw on the chart or (my preferred choice) need some inspiration to define your trend directions, this script is for YOU (and your family, your pet, your girlfriend/boyfriend, ...)
I think that each asset/timeframe chart has its own history. What worked in a post could work in the future.
In that regard, if a trend direction worked in the past, that's the parameter that I'll use to trade with it in a demo account and make sure it's relevant. If not then I will adjust
If you're trading with new indicators or a new method right away on your real trading account, you're gonna have a bad time imgflip.com
Lines EVERYWHERE
The script draws the classical horizontal pivots + the zig zag lines + the Higher Highs/Lower Lows label in just 1 script. I'm very excited to share a script (on which I coded 100 lines out of 500) but no one else did it
The horizontal pivots part are coming from Backtest Rookies
For more security, you can add a pullback on a moving average after getting a signal. Pullbacks are necessary to limit any eventual loss or maximize your gains by getting in the trend sooner.
I really give you a solid method and a great script in my opinion. 6 years of experience given away for FREE :p (when Dave will start thinking as a business man instead :O)
Does it repaint ?
Getting this question twice a day. You guys are obsessed with the repainting :)
Short answer, yes because it will calculate the pivots and zig zags whenever new higher highs/lower lows will be formed.
However, the trend direction code is based on the candle close so it shouldn't repaint. If it does, please let me know
See you all on Monday
Love you all
Dave
____________________________________________________________
Be sure to hit the thumbs up. Building those indicators take a lot of time and likes are always rewarding for me :) (tips are accepted too)
- If you want to suggest some indicators that I can develop and share with the community, please use my personal TRELLO board
- I'm an officially approved PineEditor/LUA/MT4 approved mentor on codementor. You can request a coaching with me if you want and I'll teach you how to build kick-ass indicators and strategies
Jump on a 1 to 1 coaching with me
- You can also hire for a custom dev of your indicator/strategy/bot/chrome extension/python
Disclaimer:
Trading involves a high level of financial risk, and may not be appropriate because you may experience losses greater than your deposit. Leverage can be against you.
Do not trade with capital that you can not afford to lose. You must be aware and have a complete understanding of all the risks associated with the market and trading. We can not be held responsible for any loss you incur.
Trading also involves risks of gambling addiction.
Please notice I do not provide financial advice - my indicators, strategies, educational ideas are intended to provide only some source code for anyone interested in improving their trading
The proprietary indicators and strategies developed by Best Trading Indicator, the object of intellectual property rights are and remain the exclusive property of Best Trading Indicator, at the exclusion of images and videos and texts free of rights or provided by the Company or external legal or physical person.
No assignment of intellectual property rights is carried out through these Terms and Conditions.
Any total or partial reproduction, modification or use of these properties for any reason whatsoever is strictly prohibited without the express written authorization of the Company.
Crypto Reversal Scalper STARTER KIT AlertsThis is alerts for automated trading for:
This is a starter kit for people to try out.
Since many people were confused to how to properly config the original script, I decided to create this script.
This script uses the original script but is compiled to have presets.
Simple to use, EASY AS 1,2,3
1. Choose PAIR
2. Sync chart with chosen pair (Symbol and Timeframe)
3. DONE!
4. (Optional) Adjust Stoploss and Takeprofit
This will be FREE for people to consider giving it a try.
To automate the trades, you will need to have the alerts for the script.
If you want to automate the trades, PM me.
XAUUSD Liquidity Sweep + Engulfing (4H/2H/15m)Key Features in This Script:
4H Bias (Trend): We use RSI on 4H to determine if the market is in a bullish or bearish trend.
2H Setup: When price sweeps below previous lows or above previous highs (liquidity sweep), we confirm it with RSI and an engulfing candle.
15m Entry: After the liquidity sweep is confirmed on the 15m chart, we check for a bullish engulfing (for buys) or bearish engulfing (for sells) with RSI confirmation.
How to Use It:
Add the Script: Copy-paste the code above into TradingView’s Pine Editor.
Apply it to the 15-minute chart for XAUUSD (Gold).
Alerts: Set up alerts when a Buy or Sell signal appears based on the conditions.
Alerts Example:
When a liquidity sweep and RSI flip happens with an engulfing candle, TradingView will notify you, helping you enter at the right time.
🚀 Next Steps:
Try it out and let me know how the alerts and signals are working for you.
If you'd like to add custom stop-loss or take-profit calculations, or include Fibonacci levels, let me know!
Advanced S&D Engine | ZikZak-Trader30About This Script
This is a fully custom-built Supply & Demand Zone detection engine for TradingView written by ZikZak-Trader30 (Kotdwar, UK). The script identifies potential key supply and demand zones based on market structure and pattern logic widely used by professional traders.
Detected Patterns:
RBR (Rally-Base-Rally, demand)
DBD (Drop-Base-Drop, supply)
RBD (Rally-Base-Drop, supply)
DBR (Drop-Base-Rally, demand)
Features Highlight
Detailed configurable zone filtering (freshness, gap detection, time spent, width, Fibonacci confluence, etc.)
Fair and adjustable scoring system for zone strength
Automatic management/removal of old or retested/violated zones
Optional Fibonacci level confluence and dynamic labeling
Transparency Statement
How It Works:
This script uses well-known price action concepts and compares candles’ movement, consolidation, and breakout patterns to mark S&D zones.
There are no repaints or future leaks: all logic is based entirely on historical and current bars.
Parameters and variables are fully described in the script inputs. The zone scoring and removal logic is also visible in the code for transparency.
IMPORTANT: Usage & Fair-Use Policy
This script is provided for educational and informational purposes only.
It should not be considered as financial advice or a trading signal.
Trading/investing involves risk—always do your own research or consult a financial advisor before making trading decisions.
Past performance or backtest results are not necessarily indicative of future results.
License & Fair Use
The code is original, written by ZikZak-Trader30.
All logic and comments are visible for users to study, adapt, or improve for personal, non-commercial use within TradingView.
You may NOT resell, repackage, or repost this script as your own.
If you fork or publicly remix/adapt the script, please credit "ZikZak-Trader30" and do not remove this disclosure section.
If you use ideas or snippets, kindly reference this script and author.
Absolutely NO plagiarized or resold code is permitted. This script is not for re-sale.
Acknowledgements
This indicator was inspired by years of price action study and usage of public S&D scripts. While the pattern logic is classic in nature, the version and scoring are original.
No proprietary datasets or paid logic from other sources are included.
Minor ideas on zone freshness and Fibonacci blending are common in the TradingView S&D community and have been custom-implemented here.
Option Premium + VWAP Dashboard1. What this indicator does
This tool creates a live option chain style dashboard on your chart for index options on NSE.
For a selected expiry and a band of strikes around a reference strike, it shows:
Strike price
CE LTP (Last Traded Price)
PE LTP
CE + PE total premium
Combined VWAP of CE + PE
Individual VWAP of CE
Individual VWAP of PE
Inference column describing who is stronger
(buyers or sellers, CE side or PE side, or mixed)
Rows are color coded based on which side is dominating around VWAP, so you get a quick visual sense of:
At which strikes buyers are aggressive
At which strikes sellers are aggressive
Where premiums are trading near VWAP and stay neutral
You can place this dashboard anywhere on the chart and adjust font size and colors as per your preference.
2. Supported indices
You can use this indicator on the following indices:
NIFTY
BANKNIFTY
FINNIFTY
MIDCAP
SENSEX
Input:
Spot Symbol = choose from BANKNIFTY, NIFTY, FINNIFTY, MIDCAP, SENSEX
Internally, the script maps this choice to the corresponding TradingView symbol:
NIFTY → NSE:NIFTY
BANKNIFTY → NSE:BANKNIFTY
FINNIFTY → NSE:CNXFINANCE
MIDCAP → NSE:CNXMIDCAP
SENSEX → BSE:SENSEX
For options, it uses an option prefix derived from this selection:
For all NSE index options → BANKNIFTY, NIFTY, FINNIFTY, MIDCAP
For SENSEX options → BSX (as per your earlier convention)
Options are then constructed in this format:
PREFIX + YYMMDD + C/P + Strike
Example: NIFTY251120C20000
So the expiry date must be set correctly, otherwise TradingView will not find the options.
3. How the logic works internally
For each strike in the selected range, the script:
Builds the CE and PE symbols using:
Underlying prefix (opt_prefix)
Expiry date in YYMMDD format
C or P
Strike price
Fetches from request.security() on your current chart timeframe:
ce_close, pe_close
ce_vwap, pe_vwap
Calculates:
combined_prem = CE LTP + PE LTP
combined_vwap = CE VWAP + PE VWAP
Compares premiums and VWAPs and creates a detailed inference string, for example:
"Optn buyers stronger | Both buyers strong"
"Optn sellers stronger | CE sellers, PE buyers"
"Near VWAP | Mixed"
Chooses row background color based on which side is stronger:
CE buyers strong → BG CE Buyers Strong
PE buyers strong → BG PE Buyers Strong
CE sellers strong → BG CE Sellers Strong
PE sellers strong → BG PE Sellers Strong
If none of the above is clearly dominant, the row is kept neutral.
This gives you an immediate view of:
Where option buyers are aggressively lifting offers
Where option sellers are dominating
Where the market is balanced near VWAP
4. Expiry settings
How to change expiry to get the correct option chain
The indicator uses a manual expiry input:
Group: Expiry Settings
Input: Expiry (manual)
Internally, it extracts:
year(expiry_manual)
month(expiry_manual)
dayofmonth(expiry_manual)
Then it converts this to YYMMDD and builds option symbols.
How to set this correctly:
Open the indicator settings.
Go to “Expiry Settings”.
In Expiry (manual) select the correct date and time of the option expiry.
For NSE weekly or monthly index options, you can simply select the calendar date of the expiry.
Time is not critical for symbol naming, it is used only to obtain year, month, day, but keeping it at market open time (for example, 09:15) is a good habit.
After changing the expiry:
The title row will update to show the new expiry as DD-MM-YY.
The script will start requesting data for symbols with that YYMMDD in their names.
If you see na in most rows, it usually means:
The expiry date does not match the actual symbol format on TradingView.
The strike prices are too far away from existing contracts.
You are using an expiry where this index does not have options.
In that case, double check the expiry date and strike range.
5. Strike settings
The script gives you a flexible way to control which strikes are shown.
Group: Strike Settings
5.1 Automatic strike interval
By default, the indicator uses index specific strike steps:
BANKNIFTY or SENSEX → 100 point interval
NIFTY or FINNIFTY → 50 point interval
MIDCAP also defaults to 50 points
This is controlled internally by:
use_manual_interval = false
and auto_interval is chosen based on the index.
Use case:
If you want a quick standard layout for a typical option chain view, simply leave “Use Manual Strike Interval” unchecked and let the script choose the appropriate interval automatically.
5.2 Manual strike interval
You can override the default step using:
Use Manual Strike Interval (bool)
Manual Strike Interval (int, default 50)
When Use Manual Strike Interval is true, the script will:
Ignore the automatic index based step.
Use your chosen step size for all strikes.
When to use manual interval:
When the exchange has changed strike spacing for a particular series.
When you want a denser view (for example, 25 point steps in NIFTY) around ATM.
When you want a wider spacing for a broad overview, for example, 200 or 500 point steps.
5.3 Reference strike and range
Two important inputs:
Reference Strike (manual)
Default: 26000
This is the center of the table. The script builds strikes above and below this level.
Strikes Above / Below Reference
Default: 5
The script calculates:
start_strike = ref_strike - half_range * strike_interval
Total number of strikes = 2 * half_range + 1
So with:
Reference Strike = 26000
Strike Interval = 100
Strikes Above / Below = 5
You will get strikes from 25500 to 26500 in steps of 100.
How to choose the reference strike in practice:
Set it close to the current spot price or the ATM strike.
For intraday trading, most of your focus is usually on:
ATM
2 or 3 strikes ITM and OTM on each side
If NIFTY is around 22,250, set Reference Strike to 22200 or 22250 based on available strikes.
If BANKNIFTY is around 49,800, set it to 49800 or 50000.
This keeps the dashboard concentrated around active and liquid strikes that you actually trade.
6. Dashboard layout and appearance
Group: Dashboard Layout
Dashboard Location
Choose where the table appears on your chart.
Options: top left, top center, top right, middle left, middle center, middle right, bottom left, bottom center, bottom right.
Font Size
Choose from Tiny, Small, Normal, Large, Huge depending on your screen size and personal preference.
Group: Colors
You can customize:
Header Background
Title Background
Header Text color
Row backgrounds based on strength:
BG CE Buyers Strong
BG PE Sellers Strong
BG CE Sellers Strong
BG PE Buyers Strong
Row BG neutral for mixed or unclear situations
Suggestion:
Keep buyers related backgrounds in green shades.
Keep sellers related backgrounds in red shades.
Keep neutral in grey.
This matches the logic in the Inference column and makes interpretation much easier.
7. How to read the “Inference” column
The inference logic checks:
Is total premium above or below total VWAP?
Is CE above its VWAP?
Is PE above its VWAP?
Then it combines this into messages like:
“Optn buyers stronger | Both buyers strong”
Both CE and PE trade above their respective VWAPs, and combined premium is above combined VWAP.
Buyers are clearly dominant at that strike.
“Optn sellers stronger | Both sellers strong”
Both CE and PE trade below VWAPs, and combined premium is below combined VWAP.
Sellers are in control at that strike.
“Optn buyers stronger | CE buyers stronger”
Combined premium is above combined VWAP, CE trades above its VWAP, PE is not as strong.
CE side buyers are leading.
“Optn buyers stronger | PE buyers stronger”
Similar, but PE side buyers are leading.
“Optn sellers stronger | CE sellers, PE buyers” or “PE sellers, CE buyers”
Mixed conditions, one side is selling aggressively while the other side has some buyer support.
“Near VWAP | Mixed”
Both premiums are hovering near their VWAP, market is balanced at that strike.
Use this to quickly decide:
Where to avoid trading due to mixed and choppy behaviour.
Where buyers or sellers are clearly dominating and trend can be extended or exhausted.
8. Practical usage tips
Use on intraday timeframes
The script uses timeframe.period for VWAP and LTP calculation. Use it on 1 minute, 3 minute, 5 minute, 15 minute charts for intraday decision making.
Align with index trend
Combine this dashboard with your main price action and trend tools.
For example, if the index trend is strongly up and the ATM and slightly OTM calls show “buyers stronger” with green backgrounds, it can support continuation trades.
Watch shifts in dominance
If you see a cluster of strikes shifting from “buyers stronger” to “sellers stronger”, that can signal distribution or trend exhaustion.
Change expiry when series rolls
For weekly options, you must change Expiry (manual) every week to get the correct option chain.
For monthly and quarterly contracts, update it whenever you roll over to a new series.
Adjust manual interval and reference strike
Before the session starts, quickly adjust:
Reference Strike near current spot
Strikes Above / Below based on how wide a range you want to watch
Optional Manual Strike Interval if you prefer finer or wider spacing
This ensures the dashboard shows the most relevant and liquid strikes instead of cluttering your screen with far OTM data.
9. Limitations and notes
This script depends on correct symbol naming on TradingView for NSE index options.
If the broker or data feed uses a different format, some rows may show na.
Expiry detection is manual by design.
Pine Script cannot reliably auto detect NSE weekly expiry series for every situation, so you are given full manual control to avoid wrong symbol requests.
If you change expiry or strike settings and see an error or many na values, try:
Checking the expiry date.
Bringing reference strike closer to spot.
Refreshing the chart if TradingView needs to load new option symbols.
Hedge Simulation Martingale v1
1. Overview & Strategy Logic
This script implements an automated, multi-position trading strategy that uses a Martingale-inspired approach to manage a series of entries. The core logic is as follows:
Initial Entry: The script enters a trade based on the direction of the previous bar's close. A green bar triggers a Long position; a red bar triggers a Short position.
Profit-Taking: A single, fixed-percentage profit target (Profit Percentage) is set for the entire trade. If reached, all positions are closed for a net profit.
Loss Management (Martingale Logic): If the price moves against the initial position and hits the fixed-percentage stop-loss (Loss Percentage), the script does not exit. Instead, it averages down by adding a new, larger position in the same direction. The size of the new position is determined by multiplying the previous position size by the First Multiplier.
Net Position Management: The script continuously calculates the net average entry price, a new combined profit target, and a new combined stop-loss based on all open positions. The goal is for a single favorable price move to recover all previous losses and hit the profit target.
2. Key Features
Visual Indicators:
Plots the Net Average Entry Price on the chart.
Plots dynamic Profit Target (TP) and Stop-Loss (SL) levels that update as new positions are added.
Displays entry signals (triangles) for the initial Long or Short trade.
Comprehensive Dashboard: A detailed table in the top-right corner shows real-time metrics, including:
Total historical Long/Short volume and PnL.
Current trade's investment, unrealized PnL, and position sizes.
Current position count, direction, and size.
Configurable Parameters:
Profit Percentage: The target profit percentage for the net position.
Loss Percentage: The stop-loss percentage that triggers a new entry.
Initial Position Size: The size of the first position in the series.
First Multiplier: The multiplier applied to the previous position size when averaging down.
Maximum Multiplier: A safety cap (commented out in the code but present) to prevent infinite scaling.
3. Intended Use & Purpose
This script is designed as a position management and tracking tool for traders who are experimenting with or actively using Martingale-style strategies. It is best used to:
Automate the complex calculations of average entry, combined TP/SL, and PnL for multiple entries.
Visually track the status of an ongoing series of positions.
Backtest the viability and risks of such a strategy on historical data.
4. ⚠️ Critical Risk Warning & Disclaimer
THIS STRATEGY CARRIES EXTREME FINANCIAL RISK. USE AT YOUR OWN RISK.
Unlimited Loss Potential: The Martingale strategy is infamous for its potential to generate unlimited losses. By continuously doubling down (or multiplying) on losing positions, a small adverse price move can lead to catastrophic losses that can exceed your account balance.
Margin Calls: The rapidly increasing position size can quickly deplete your margin, leading to a margin call and forced liquidation of all positions at a significant loss.
No Guarantee of Recovery: The assumption that the price will eventually reverse is flawed. A strong, sustained trend can wipe out the entire trading capital.
For Educational/Advanced Use Only: This script is intended for sophisticated traders who fully understand the immense risks involved. It is not a "sure profit" system.
The publisher of this script is not responsible for any financial losses incurred through its use. You are solely responsible for your trading decisions and risk management.
5. How to Use
Apply the Script: Add the script to your chart.
Configure Parameters: Adjust the input parameters according to your risk tolerance and strategy rules. Be extremely cautious with the multiplier and position size.
Monitor the Dashboard: The table will provide all necessary information about the current and historical state of the strategy.
Observe the Levels: Watch the plotted Entry, TP, and SL levels to understand the current market position.
Backtest First: Always test the strategy extensively on historical data before considering it with real capital.
6. Notes
The Maximum Multiplier safety feature is present in the code but is currently commented out. Users are strongly advised to uncomment and set this parameter to act as a final, hard liquidation point.
The script logs key events (trade start, target hit) and export data for further analysis.
This is a complex script and should be thoroughly understood before use.
Uptrick: Fusion Trend Reversion SystemOverview
The Uptrick: Fusion Trend Reversion System is a multi-layered indicator designed to identify potential price reversals during intraday movement while keeping traders informed of the dominant short-term trend. It blends a composite fair value model with deviation logic and a refined momentum filter using the Relative Strength Index (RSI). This tool was created with scalpers and short-term traders in mind and is especially effective on lower timeframes such as 1-minute, 5-minute, and 15-minute charts where price dislocations and quick momentum shifts are frequent.
Introduction
This indicator is built around the fusion of two classic concepts in technical trading: identifying trend direction and spotting potential reversion points. These are often handled separately, but this system merges them into one process. It starts by computing a fair value price using five moving averages, each with its own mathematical structure and strengths. These include the exponential moving average (EMA), which gives more weight to recent data; the simple moving average (SMA), which gives equal weight to all periods; the weighted moving average (WMA), which progressively increases weight with recency; the Arnaud Legoux moving average (ALMA), known for smoothing without lag; and the volume-weighted average price (VWAP), which factors in volume at each price level.
All five are averaged into a single value — the raw fusion line. This fusion acts as a dynamically balanced centerline that adapts to price conditions with both smoothing and responsiveness. Two additional exponential moving averages are applied to the raw fusion line. One is slower, giving a stable trend reference, and the other is faster, used to define momentum and cloud behavior. These two lines — the fusion slow and fusion fast — form the backbone of trend and signal logic.
Purpose
This system is meant for traders who want to trade reversals without losing sight of the underlying directional bias. Many reversal indicators fail because they act too early or signal too frequently in choppy markets. This script filters out noise through two conditions: price deviation and RSI confirmation. Reversion trades are considered only when the price moves a significant distance from fair value and RSI suggests a legitimate shift in momentum. That filtering process gives the trader a cleaner, higher-quality signal and reduces false entries.
The indicator also visually supports the trader through colored bars, up/down labels, and a filled cloud between the fast and slow fusion lines. These features make the market context immediately visible: whether the trend is up or down, whether a reversal just occurred, and whether price is currently in a high-risk reversion zone.
Originality and Uniqueness
What makes this script different from most reversal systems is the way it combines layers of logic — not just to detect signals, but to qualify and structure them. Rather than relying on a single MA or a raw RSI level, it uses a five-MA fusion to create a baseline fair value that incorporates speed, stability, and volume-awareness.
On top of that, the system introduces a dual-smoothing mechanism. It doesn’t just smooth price once — it creates two layers: one to follow the general trend and another to track faster deviations. This structure lets the script distinguish between continuation moves and possible turning points more effectively than a single-line or single-metric system.
It also uses RSI in a more refined way. Instead of just checking if RSI is overbought or oversold, the script smooths RSI and requires directional confirmation. Beyond that, it includes signal memory. Once a signal is generated, a new one will not appear unless the RSI becomes even more extreme and curls back again. This memory-based gating reduces signal clutter and prevents repetition, a rare feature in similar scripts.
Why these indicators were merged
Each moving average in the fusion serves a specific role. EMA reacts quickly to recent price changes and is often favored in fast-trading strategies. SMA acts as a long-term filter and smooths erratic behavior. WMA blends responsiveness with smoothing in a more balanced way. ALMA focuses on minimizing lag without losing detail, which is helpful in fast markets. VWAP anchors price to real trade volume, giving a sense of where actual positioning is happening.
By combining all five, the script creates a fair value model that doesn’t lean too heavily on one logic type. This fusion is then smoothed into two separate EMAs: one slower (trend layer), one faster (signal layer). The difference between these forms the basis of the trend cloud, which can be toggled on or off visually.
RSI is then used to confirm whether price is reversing with enough force to warrant a trade. The RSI is calculated over a 14-period window and smoothed with a 7-period EMA. The reason for smoothing RSI is to cut down on noise and avoid reacting to short, insignificant spikes. A signal is only considered if price is stretched away from the trend line and the smoothed RSI is in a reversal state — below 30 and rising for bullish setups, above 70 and falling for bearish ones.
Calculations
The script follows this structure:
Calculate EMA, SMA, WMA, ALMA, and VWAP using the same base length
Average the five values to form the raw fusion line
Smooth the raw fusion line with an EMA using sens1 to create the fusion slow line
Smooth the raw fusion line with another EMA using sens2 to create the fusion fast line
If fusion slow is rising and price is above it, trend is bullish
If fusion slow is falling and price is below it, trend is bearish
Calculate RSI over 14 periods
Smooth RSI using a 7-period EMA
Determine deviation as the absolute difference between current price and fusion slow
A raw signal is flagged if deviation exceeds the threshold
A raw signal is flagged if RSI EMA is under 30 and rising (bullish setup)
A raw signal is flagged if RSI EMA is over 70 and falling (bearish setup)
A final signal is confirmed for a bullish setup if RSI EMA is lower than the last bullish signal’s RSI
A final signal is confirmed for a bearish setup if RSI EMA is higher than the last bearish signal’s RSI
Reset the bullish RSI memory if RSI EMA rises above 30
Reset the bearish RSI memory if RSI EMA falls below 70
Store last signal direction and use it for optional bar coloring
Draw the trend cloud between fusion fast and fusion slow using fill()
Show signal labels only if showSignals is enabled
Bar and candle colors reflect either trend slope or last signal direction depending on mode selected
How it works
Once the script is loaded, it builds a fusion line by averaging five different types of moving averages. That line is smoothed twice into a fast and slow version. These two fusion lines form the structure for identifying trend direction and signal areas.
Trend bias is defined by the slope of the slow line. If the slow line is rising and price is above it, the market is considered bullish. If the slow line is falling and price is below it, it’s considered bearish.
Meanwhile, the script monitors how far price has moved from that slow line. If price is stretched beyond a certain distance (set by the threshold), and RSI confirms that momentum is reversing, a raw reversion signal is created. But the script only allows that signal to show if RSI has moved further into oversold or overbought territory than it did at the last signal. This blocks repetitive, weak entries. The memory is cleared only if RSI exits the zone — above 30 for bullish, below 70 for bearish.
Once a signal is accepted, a label is drawn. If the signal toggle is off, no label will be shown regardless of conditions. Bar colors are controlled separately — you can color them based on trend slope or last signal, depending on your selected mode.
Inputs
You can adjust the following settings:
MA Length: Sets the period for all moving averages used in the fusion.
Show Reversion Signals: Turns on the plotting of “Up” and “Down” labels when a reversal is confirmed.
Bar Coloring: Enables or disables colored bars based on trend or signal direction.
Show Trend Cloud: Fills the space between the fusion fast and slow lines to reflect trend bias.
Bar Color Mode: Lets you choose whether bars follow trend logic or last signal direction.
Sens 1: Smoothing speed for the slow fusion line — higher values = slower trend.
Sens 2: Smoothing speed for the fast line — lower values = faster signal response.
Deviation Threshold: Minimum distance price must move from fair value to trigger a signal check.
Features
This indicator offers:
A composite fair value model using five moving average types.
Dual smoothing system with user-defined sensitivity.
Slope-based trend definition tied to price position.
Deviation-triggered signal logic filtered by RSI reversal.
RSI memory system that blocks repetitive signals and resets only when RSI exits overbought or oversold zones.
Real-time tracking of the last signal’s direction for optional bar coloring.
Up/Down labels at signal points, visible only when enabled.
Optional trend cloud between fusion layers, visualizing current market bias.
Full user control over smoothing, threshold, color modes, and visibility.
Conclusion
The Fusion Trend-Reversion System is a tool for short-term traders looking to fade price extremes without ignoring trend bias. It calculates fair value using five diverse moving averages, smooths this into two dynamic layers, and applies strict reversal logic based on RSI deviation and momentum strength. Signals are triggered only when price is stretched and momentum confirms it with increasingly strong behavior. This combination makes the tool suitable for scalping, intraday entries, and fast market environments where precision matters.
Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice. All trading involves risk, and no tool can predict market behavior with certainty. Use proper risk management and do your own research before making trading decisions.
Malama's Dashboard with HeikinMalama's Dashboard with Heikin is a comprehensive trading indicator designed to provide traders with a consolidated view of market sentiment across multiple technical indicators. It combines Ichimoku Cloud, RSI, ADX, Choppiness Index, volume analysis, momentum, divergence detection, and multi-timeframe (MTF) MACD and volume trends to generate a composite sentiment score. The indicator displays these metrics in a visually intuitive table, enabling traders to quickly assess market conditions and make informed decisions. Optionally, it supports Heikin Ashi candles to smooth price data and reduce noise, aiding in trend identification. The script solves the problem of information overload by presenting key indicators in a single, trader-friendly dashboard, reducing the need for multiple charts or indicators.
Originality and Usefulness
This script is a unique mashup of several well-known technical indicators, integrated into a cohesive dashboard with a composite sentiment score. Unlike standalone indicators like RSI or Ichimoku, this script synthesizes signals from Ichimoku Cloud, RSI, ADX, Choppiness, volume, momentum, divergence, and MTF analysis into a unified sentiment metric. The inclusion of Heikin Ashi candles as an optional input adds flexibility for traders preferring smoothed price action. The composite score, derived from weighted contributions of each indicator, provides a novel way to gauge overall market direction, which is not commonly found in public open-source scripts. While individual components like RSI or Ichimoku are widely available, the script’s originality lies in its integrated approach, clear table visualization, and customizable settings, making it a practical tool for traders seeking a holistic market view.
Detailed Methodology ("How It Works")
The script processes multiple technical indicators and aggregates their signals into a composite sentiment score, displayed in a table. Below is a breakdown of its core components and logic:
Heikin Ashi Candles:
Logic: Optionally applies Heikin Ashi calculations to smooth price data. Heikin Ashi candles are computed using formulas for open, high, low, and close prices, reducing market noise and emphasizing trends.
Usage: When enabled, all subsequent calculations (Ichimoku, RSI, ADX, etc.) use Heikin Ashi prices instead of regular OHLC data, potentially improving trend clarity.
Ichimoku Cloud:
Logic: Calculates the Conversion Line (9-period high/low average), Base Line (26-period high/low average), Leading Span A (average of Conversion and Base Lines), and Leading Span B (52-period high/low average).
Signals: Bullish if the close price is above both Leading Spans; bearish if below; neutral otherwise.
Average Directional Index (ADX):
Logic: Computes ADX using a 14-period (default) directional movement index, measuring trend strength. PlusDI and MinusDI are calculated from price movements, and ADX is derived from their difference.
Signals: Bullish if PlusDI > MinusDI; bearish otherwise. ADX value indicates trend strength but is not used directly in sentiment scoring.
Relative Strength Index (RSI):
Logic: Calculates RSI over a 21-period (default) using the closing price. Overbought (>75) and oversold (<25) levels are user-defined.
Signals: Bullish if RSI > 50; bearish if RSI < 50. Overbought/oversold conditions are displayed but not used in the composite score.
Momentum:
Logic: Measures the difference between the current close and the close 10 periods ago (default).
Signals: Bullish if momentum > 0; bearish if < 0; neutral if 0.
Choppiness Index:
Logic: Calculates choppiness over a 14-period (default) using ATR and price range, normalized to a 0–100 scale. Values >61.8 indicate a sideways market; <38.2 indicate a trending market.
Signals: Bullish if choppiness < 38.2; bearish otherwise.
Volume Analysis:
Logic: Compares current volume to a 21-period (default) simple moving average (SMA). Bullish or bearish pressure is determined by whether the close is above or below the open.
Signals: Bullish if volume > 1.2x SMA and bullish pressure dominates; bearish if bearish pressure dominates; neutral otherwise.
Divergence Detection:
Logic: Identifies RSI divergences over a 5-period lookback. A bullish divergence occurs when price makes a lower low, but RSI makes a higher low; bearish divergence is the opposite.
Signals: Bullish or bearish based on divergence detection; neutral if no divergence.
Multi-Timeframe (MTF) Analysis:
Logic: Retrieves daily MACD (12, 26, 9) and volume SMA (21-period) from a higher timeframe. MACD is bullish if the MACD line > signal line; volume is bullish if current volume > daily SMA.
Signals: Bullish or bearish based on MACD and volume trends.
Composite Sentiment Score:
Logic: Aggregates signals from Ichimoku (±2), RSI (±1), ADX (±1), momentum (±1), choppiness (±1), divergence (±1), MTF MACD (±1), and MTF volume (±1). The score ranges from -8 to +8.
Signals: Bullish if score > 0; bearish if < 0; neutral if 0.
Alert Condition:
Triggers an alert when the composite sentiment flips (e.g., from bullish to bearish).
Strategy Results and Risk Management
This script is an indicator, not a strategy, and does not include backtesting or automated trade signals. However, the composite sentiment score can guide trading decisions. Assumptions for practical use include:
Commission and Slippage: Traders should account for realistic trading costs (e.g., 0.1% per trade) when acting on signals, though the script does not model these.
Risk Limits: Traders are advised to risk 5–10% of equity per trade, depending on their strategy and the strength of the composite score (e.g., higher scores may justify larger positions).
Trade Frequency: The script’s signals are based on multiple indicators, ensuring sufficient trade opportunities across trending and ranging markets.
Customization: Traders can adjust risk by modifying input parameters (e.g., RSI overbought/oversold levels or lookback periods) to align with their risk tolerance. For example, tightening RSI thresholds may reduce signal frequency but increase precision.
User Settings and Customization
The script offers several user-configurable inputs, allowing traders to tailor its behavior:
Use Heikin Ashi Candles (Boolean, default: false): Enables/disables Heikin Ashi smoothing for all calculations, affecting trend clarity.
ADX Length (Integer, default: 14, min: 1): Sets the period for ADX calculations, influencing trend strength sensitivity.
RSI Length (Integer, default: 21, min: 1): Adjusts RSI calculation period, impacting overbought/oversold detection.
RSI Overbought Level (Integer, default: 75, min: 1): Sets the RSI overbought threshold.
RSI Oversold Level (Integer, default: 25, min: 1): Sets the RSI oversold threshold.
Volatility Length (Integer, default: 21, min: 1): Controls the ATR period for volatility (used in Choppiness).
Volume MA Length (Integer, default: 21, min: 1): Sets the SMA period for volume analysis.
Momentum Length (Integer, default: 10, min: 1): Defines the lookback for momentum calculations.
Choppiness Length (Integer, default: 14, min: 1): Sets the period for Choppiness Index calculations.
These settings allow traders to adjust the indicator’s sensitivity to market conditions. For example, shorter RSI or ADX periods increase responsiveness but may generate more noise, while longer periods smooth signals but may lag.
Visualizations and Chart Setup
The script plots a table in the top-right corner of the chart, summarizing the following:
Header: Displays “MALAMA’S DASHBOARD” in white text on a black background.
Indicator Rows: Each row corresponds to an indicator (Ichimoku, RSI, ADX, Choppiness, Volume, Momentum, Divergence, MTF MACD, MTF Volume, Composite).
Columns:
Indicator: Lists the indicator name.
Value: Shows the calculated value (e.g., RSI value, composite score) and sentiment (e.g., Bullish, Bearish, Neutral).
Color Coding: Bullish signals are green, bearish signals are red, and neutral signals are gray, all with 85% transparency for readability.
Composite Sentiment: The final row displays the composite score and sentiment, providing a quick summary of market direction.
No trend lines, signal markers, or additional overlays are plotted, ensuring the chart remains uncluttered and focused on the dashboard’s insights.
Godfather of Support & Resistance Godfather of Support & Resistance
Overview
The Godfather of Support & Resistance script is a powerful tool designed to help traders identify critical support and resistance levels on their charts. These price levels are vital for understanding market behavior, as they often act as turning points where prices reverse, consolidate, or break through. By automating the detection of these levels, this script simplifies your trading decisions and enhances your technical analysis.
How It Works
Pivot Points for Level Detection:
The script uses pivot points to identify potential support (lows) and resistance (highs) levels:
A pivot high is a local peak (a high surrounded by lower highs).
A pivot low is a local trough (a low surrounded by higher lows).
You can adjust the Pivot Length (pivotLen) input to control the sensitivity of detection. Smaller values detect more levels, while larger values focus on major levels.
Dynamic Grouping with Tolerance:
The script dynamically groups nearby price levels using a tolerance percentage. This tolerance is based on the level's price, making it adaptive to all types of assets (low- and high-priced).
For example, if the tolerance is set to 1% and a level is at $100, levels within $1 are grouped together.
Touch Count for Significance:
The script tracks how many times the price interacts with each level (touch count). Only levels that meet or exceed the Minimum Touches (minTouches) input are displayed on the chart. This ensures only meaningful levels are highlighted.
Clear Visual Representation:
Resistance Levels (Red Lines): Represent areas where the price tends to reverse downward.
Support Levels (Green Lines): Represent areas where the price tends to reverse upward.
Labels are added to each level (optional) to display the price and the number of touches for better decision-making.
Inputs You Can Customize
Minimum Touches to Show Level:
Set the minimum number of price interactions required for a level to be displayed.
Maximum Lines to Keep:
Limit the number of support and resistance lines displayed to keep your chart clean and focused.
Pivot Length:
Customize the sensitivity of pivot point detection. Smaller values detect more levels, while larger values focus on key levels.
Tolerance for Touch Detection (%):
Adjust the grouping tolerance as a percentage of the price. For example, 1% groups levels that are within 1% of each other.
How to Use
Apply the Script:
Add the script to your TradingView chart, and it will automatically detect and plot support and resistance levels.
Analyze the Levels:
Use Resistance Levels (red lines) as potential sell zones or areas to place stop-loss orders above.
Use Support Levels (green lines) as potential buy zones or areas to place stop-loss orders below.
Customize for Your Trading Style:
Adjust the inputs to match your preferred strategy and the timeframe or asset you're analyzing.
Example Use Case
Imagine you're analyzing a stock:
Resistance Level: The script identifies resistance at $150 with 3 touches. This might be a potential sell zone if the price struggles to break through.
Support Level: The script identifies support at $130 with 4 touches. This might be a potential buy zone if the price shows signs of bouncing upward.
Key Features
Automatically detects and plots support and resistance levels.
Tracks the number of price touches to filter out weak levels.
Adapts dynamically to price ranges using a percentage-based tolerance.
Fully customizable to suit different trading styles and assets.
Clean and professional chart display with a limit on the number of lines.
Notes
This script is for educational purposes only and should not be considered financial advice.
Always perform your own analysis and manage risk before making trading decisions.
Why Use This Script?
The Godfather of Support & Resistance script simplifies your trading decisions by automating the detection of critical price levels. Whether you're a beginner or an experienced trader, this script is designed to save you time and help you focus on making informed trades.
Start using it today to master the art of support and resistance trading!
Let me know if you need further refinements for this description!
RSI Oversold ScannerPine Script Description for TradingView Publication
Title: RSI Oversold Scanner (1m, 5m, 15m)
Description:
The RSI Oversold Scanner is a powerful tool designed to identify stocks that are simultaneously oversold on the 1-minute, 5-minute, and 15-minute timeframes, based on the Relative Strength Index (RSI). This script is ideal for traders seeking short-term reversal or momentum opportunities across multiple intraday timeframes.
Key Features:
Multi-Timeframe RSI Analysis: Calculates RSI (default length: 14) on the 1m, 5m, and 15m timeframes and checks if all are below the oversold threshold (default: 30).
Visual Output: Displays a table in the top-right corner showing RSI values and oversold status ("Yes" or "No") for each timeframe, making it easy to verify conditions.
Scan Result: Plots a value of 1 when all three timeframes are oversold, or 0 otherwise, enabling quick identification of matching stocks.
Alert Support: Includes an alert condition that triggers when a stock is oversold on all timeframes, with a customizable message for real-time notifications.
User-Friendly: Built with Pine Script v6 for compatibility and reliability, with clear visual feedback for traders of all levels.
How It Works:
The script uses ta.rsi to compute RSI on the current chart’s timeframe (1m) and request.security to fetch RSI data for the 5m and 15m timeframes.
It checks if RSI is below the oversold level (default: 30) on all three timeframes.
A table displays the RSI values and oversold status for easy debugging.
The Scan Result plot (1 or 0) indicates whether the stock meets the oversold criteria, which can be used for manual scanning or alerts.
Usage Instructions:
Add the script to your chart via Pine Editor.
Use a watchlist to switch between stocks and check the table or Scan Result for oversold conditions.
Set alerts by selecting the script’s Scan Result condition (value = 1) to get notified when a stock is oversold on all timeframes.
Customize the RSI length or oversold level in the script’s code if needed (e.g., change rsiLength or oversoldLevel).
Notes:
Best used on intraday charts (e.g., 1m or higher) with a watchlist for manual scanning, as TradingView’s Stock Screener does not directly support custom Pine Scripts.
Real-time alerts and intraday data may require a TradingView paid plan.
The script uses only two request.security calls, staying well within Pine Script’s limits.
Ideal For:
Day traders and swing traders looking for oversold stocks across multiple intraday timeframes.
Users who want to combine technical analysis with visual and alert-based confirmation.
ZenAlgo - BenderThis script combines several volume-based methodologies into a single chart overlay to help traders analyze market participation and volume distribution. It aggregates volume from multiple sources—spot and perpetual markets across different exchanges—and processes it to display various insights directly on the chart.
The script provides a detailed view of both individual-bar volume and broader aggregated trends. It calculates certain values, plots different shapes and overlays, and includes an optional informational table. However, it does not offer financial signals or predict future price movements. Instead, it presents multiple volume and range-related highlights for educational or analytical observations.
Below is a detailed breakdown of the core elements in this script:
Core Data Calculation and Aggregation
To build a comprehensive volume picture, the script retrieves volume data from multiple predefined exchanges for both Spot and Perpetual pairs. The volume for each bar is processed in Aggregated mode , meaning it combines data across selected sources to produce a single composite volume value.
The script applies average-based aggregation to calculate the final volume figures. The total volume is then used as the basis for further calculations, such as buy/sell volume decomposition and Delta analysis.
Buy/Sell Volume Decomposition
Each bar’s total volume is separated into an estimated buy portion and a sell portion. This decomposition uses logic that considers wick length, body size, and whether the bar closed higher or lower than it opened. The script assigns fractions of the total volume to the upper wick, lower wick, and body, then multiplies these by the total aggregated volume to estimate buy and sell volumes.
This breakdown is calculated separately for spot-only volume , perp-only volume , and their aggregated sums, allowing traders to analyze how much of each bar’s volume is estimated as "buy" or "sell."
Delta and Cumulative Delta
The script computes a Delta (buy volume minus sell volume) for each bar. A positive Delta suggests more buying during that bar, while a negative Delta suggests more selling.
It also computes Cumulative Delta , summing this Delta over 14 bars (a fixed period). This allows users to observe how short-term buy/sell imbalances accumulate over time.
Visual Bar Coloring (PVSRA Logic)
The script includes logic based on PVSRA (Price Volume Support Resistance Analysis) , which examines average volume over a recent lookback period to determine whether a bar meets certain "climax" or "above-average" thresholds.
Bars are categorized as:
Climax Up or Climax Down: If a bar meets strong volume and range conditions, it is identified as a high-activity bar.
Neutral Colors: Bars that do not meet the threshold are identified as standard volume bars.
Table Summaries
The script includes an optional Spot vs. Perpetual volume table that provides:
Aggregated Spot vs. Perpetual buy/sell volumes
The net difference between buying and selling
The total sum across all included sources
Percentage breakdown of buying vs. selling
A separate multi-timeframe table calculates volume-related metrics for fixed timeframes (15, 60, and 240 minutes), allowing traders to compare their current timeframe with broader trends.
Highlighted Shapes and Diamonds
The script places shape markers above or below bars when certain conditions are met, including:
Dots (circles): Representing a significant increase in net Delta compared to the previous bar.
Diamonds: Markers that appear when volume-based conditions align with predefined thresholds. These vary in size and include an optional "Hardcore Mode" , which applies stricter filtering.
Crossover Triangles: These appear when the internally computed Delta MA (a moving average of Delta) crosses above or below a predefined EMA.
These markers highlight notable changes in volume, Delta, or price action but do not constitute predictive trading signals.
Delta Averages and Overlaid EMAs
The script plots a histogram of the current net Delta (buy minus sell) . Additionally, a Delta Moving Average (Delta MA) is used for tracking trends. The Delta MA is plotted alongside predefined Exponential Moving Averages (EMAs) , such as:
A Delta MA calculated using an exponential moving average (EMA) over 21 bars.
A set of predefined EMAs (lengths such as 3, 5, 7, 10, 13, 16, 21, 25, etc.) plotted to visualize momentum changes.
Areas between these EMAs can be filled with translucent shading to highlight momentum shifts.
Comparing the Delta MA to the overlaid EMAs helps track changes in Delta momentum over time.
Interpreting the Elements
When using this script, consider the following:
Volume Aggregation: The script aggregates volume across multiple Spot and Perpetual sources to provide a broad market view.
Delta and Cumulative Delta: The Delta histogram may spike positively or negatively, highlighting areas of potential buying or selling pressure.
Table Data: If enabled, the tables display buy/sell volume splits for Spot and Perpetual markets, along with multi-timeframe comparisons.
EMA Overlays on Delta: The stacked EMAs help visualize short-term vs. longer-term Delta changes.
Shape Markers: Dots, diamonds, and triangles emphasize notable shifts in volume or Delta but do not imply recommendations for action.
Usage Tips
Toggle "Hardcore Mode" to apply stricter filtering to highlight conditions.
Enable or disable the Spot vs. Perpetual Table to see if the breakdown of volume sources is useful.
Use the multi-timeframe table to compare intraday data with broader trends.
If the chart appears too cluttered, toggle off features like PVSRA color tints or some EMAs to focus on specific elements.
Final Thoughts
This script integrates multiple volume-based calculations, range analysis, aggregated volume from predefined tickers, and various moving averages for Delta. Its visual layers—color-coded bars, histograms, shape markers, and tables—offer a rich perspective on market activity.
Users can analyze these elements across any timeframe or market combination they prefer. The script does not provide buy/sell signals or make predictions —it is purely an analytical tool for understanding volume-based market dynamics.
Traders should interpret these visual elements according to their own strategy and trading approach.
Enhanced VSA Volume & Candle Colors with MA SelectionOverview:
This script aims to enhance the visualization of volume spikes and price action by coloring volume bars and price candles dynamically based on the volume behavior. It allows traders to customize the type of volume moving average (SMA, EMA, or VWMA) used and apply various color schemes to highlight high, low, and extreme volume conditions. Additionally, alerts are generated when extreme or low-volume conditions occur.
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Key Features:
Customizable Volume Lookback Period:
The script allows users to define the period for calculating the moving average of volume (default: 200).
Volume Multiplier Settings:
High and low volume thresholds are defined using multipliers. Users can adjust these to customize how volume is categorized (default multipliers: 1.5 for high volume, 0.5 for low volume).
Percentile-Based Extreme Volume Detection:
The script calculates a percentile threshold for extreme volume (default: 90th percentile) based on the volume data, highlighting exceptionally high volume spikes.
Moving Average Selection:
Users can choose between Simple Moving Average (SMA), Exponential Moving Average (EMA), or Volume Weighted Moving Average (VWMA) to track volume trends over the selected lookback period.
Volume-Based Price Bar Coloring:
Price bars can be colored according to the volume conditions (high, low, or extreme). This feature can be toggled on or off.
Dynamic Transparency and Color Customization:
The script allows users to set custom colors for different volume conditions (high, low, neutral, extreme) and adjusts the transparency of volume bars based on the relative size of the volume.
Alerts:
Alerts can be set for when extreme volume spikes or low volume conditions are detected.
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Script Components:
Volume Histogram Plot:
Displays the volume bars with dynamic coloring based on the volume condition (high, low, or extreme). The color of the bars adjusts for clarity, with transparency based on volume levels.
Moving Average Plot:
Plots the selected volume moving average (SMA, EMA, or VWMA) to visualize the trend of volume over the chosen lookback period.
Smoothed Average Volume (EMA of Volume):
A smoothed EMA line is plotted to provide a clear representation of volume trends over time.
Price Bar Coloring:
If enabled, price bars are colored according to the current volume condition, providing immediate visual feedback to the trader.
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How It Can Be Used:
Volume Analysis for Entry/Exit Points: Traders can use the volume conditions (high, low, and extreme) to identify potential entry or exit points. High-volume bars often signal strong market activity, while low-volume bars may indicate consolidation or indecision.
Volume Confirmation for Trend Reversal: Extreme volume spikes can sometimes precede significant price movements. Traders can monitor these spikes for potential trend reversal signals.
Customizing Alerts: Alerts based on volume conditions help traders stay updated on important volume events without constantly monitoring the chart.
Color-Coded Price Action: The dynamic coloring of price bars makes it easier to identify periods of strong or weak market participation, allowing traders to make informed decisions quickly.
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Compliance with TradingView's House Rules:
No Promotion of Financial Products: The script does not promote any specific financial instruments or products, ensuring compliance with TradingView’s content guidelines.
Clear Functionality: The script provides clear, functional analysis tools without making unsupported claims about predicting market movements.
No Automated Trading: The script does not include any automated trading or order execution features, which complies with TradingView’s policy on non-automated scripts.
This breakdown ensures clarity on the script’s purpose, features, and how it might be used by traders. It's written in a way that fits TradingView's content guidelines, keeping the focus on providing valuable analytical tools rather than making promises or promoting any financial product.
G&S SMT### Description of the Pine Script
This Pine Script is designed to identify **Smart Money Technique (SMT)** setups between **Gold (GC1!)** and **Silver (SI1!) Futures** on a **15-minute timeframe**. It specifically looks for divergences between the price movements of Gold and Silver over the last 4 candles and compares it with the next candle's price movement. The script provides **Bullish** and **Bearish** signals for SMT during a specified time range of **8:45 AM EST to 10:30 AM EST**.
### Key Features of the Script:
1. **Futures Symbols**:
- The script uses **Gold Futures (GC1!)** and **Silver Futures (SI1!)** on a 15-minute timeframe to monitor their price movements.
2. **Time Range Filtering**:
- The signals are only active between **8:45 AM EST and 10:30 AM EST**, ensuring that the script only signals within the most relevant trading hours for your strategy.
3. **SMT Calculation (Last 4 Candles vs Next Candle)**:
- **Gold and Silver Price Change Calculation**: The script compares the price changes of **Gold** and **Silver** over the **last 4 candles** and then compares them with the price movement of the **next candle**:
- **Bullish SMT**: Occurs when Gold shows an increase in the last 4 candles while Silver shows a decrease, and both Gold and Silver show an increase in the next candle.
- **Bearish SMT**: Occurs when Gold shows a decrease in the last 4 candles while Silver shows an increase, and both Gold and Silver show a decrease in the next candle.
4. **Bullish and Bearish Signals**:
- **Bullish SMT Signal**: The script will plot a **green** arrow below the bar when a Bullish SMT setup is identified.
- **Bearish SMT Signal**: A **red** arrow above the bar is plotted when a Bearish SMT setup is identified.
5. **Gold and Silver Difference Plot**:
- The difference between the prices of **Gold** and **Silver** is plotted as a **blue line**, giving a visual representation of the relationship between the two assets. When the difference line moves significantly, it can indicate a potential divergence or convergence in the prices of Gold and Silver.
### Script Logic Breakdown:
1. **Price Change for Last 4 Candles**:
- The script calculates the price change for Gold and Silver from the 4th-to-last candle to the last candle.
- `gold_change_last4` and `silver_change_last4` calculate these price differences.
2. **Price Change for Next Candle**:
- It then calculates the price change from the last candle to the next candle.
- `gold_change_next` and `silver_change_next` calculate these price differences.
3. **Bullish SMT Condition**:
- If Gold increased while Silver decreased in the last 4 candles, and both Gold and Silver show an increase in the next candle, it indicates a **Bullish SMT**.
4. **Bearish SMT Condition**:
- If Gold decreased while Silver increased in the last 4 candles, and both Gold and Silver show a decrease in the next candle, it indicates a **Bearish SMT**.
5. **Time Filter**:
- Signals are only plotted when the current time is between **8:45 AM EST and 10:30 AM EST** to match your preferred trading hours.
### Visualization:
- **Bullish Signals**: Plotted as **green arrows** below the bars when a Bullish SMT setup is identified.
- **Bearish Signals**: Plotted as **red arrows** above the bars when a Bearish SMT setup is identified.
- **Gold - Silver Difference**: A **blue line** is plotted to show the price difference between Gold and Silver, helping visualize any divergence.
### How It Helps:
- **Divergence Identification**: This script highlights potential divergences between Gold and Silver Futures, which can provide insights into market sentiment and smart money movements.
- **Focus on Relevant Time Frame**: By filtering signals between 8:45 AM EST and 10:30 AM EST, you are focusing on a timeframe that can be more beneficial for trading.
- **Visual Clarity**: The arrows and the price difference line provide clear signals and a visual representation of the relationship between Gold and Silver, helping you make informed trading decisions.
This script is an automated approach to detecting **SMT setups** and helping traders recognize when Gold and Silver might be signaling a bullish or bearish move based on their divergence patterns.
Weighted Fourier Transform: Spectral Gating & Main Frequency🙏🏻 This drop has 2 purposes:
1) to inform every1 who'd ever see it that Weighted Fourier Tranform does exist, while being available nowhere online, not even in papers, yet there's nothing incredibly complicated about it, and it can/should be used in certain cases;
2) to show TradingView users how they can use it now in dem endevours, to show em what spectral filtering is, and what can they do with all of it in diy mode.
... so we gonna have 2 sections in the description
Section 1: Weighted Fourier Transform
It's quite easy to include weights in Fourier analysis: you just premultiply each datapoint by its corresponding weight -> feed to direct Fourier Transform, and then divide by weights after inverse Fourier transform. Alternatevely, in direct transform you just multiply contributions of each data point to the real and imaginary parts of the Fourier transform by corresponding weights (in accumulation phase), and in inverse transform you divide by weights instead during the accumulation phase. Everything else stays the same just like in non-weighted version.
If you're from the first target group let's say, you prolly know a thing or deux about how to code & about Fourier Transform, so you can just check lines of code to see the implementation of Weighted Discrete version of Fourier Transform, and port it to to any technology you desire. Pine Script is a developing technology that is incredibly comfortable in use for quant-related tasks and anything involving time series in general. While also using Python for research and C++ for development, every time I can do what I want in Pine Script, I reach for it and never touch matlab, python, R, or anything else.
Weighted version allows you to explicetly include order/time information into the operation, which is essential with every time series, although not widely used in mainstream just as many other obvious and right things. If you think deeply, you'll understand that you can apply a usual non-weighted Fourier to any 2d+ data you can (even if none of these dimensions represent time), because this is a geometric tool in essence. By applying linearly decaying weights inside Fourier transform, you're explicetly saying, "one of these dimensions is Time, and weights represent the order". And obviously you can combine multiple weightings, eg time and another characteristic of each datum, allows you to include another non-spatial dimension in your model.
By doing that, on properly processed (not only stationary but Also centered around zero data), you can get some interesting results that you won't be able to recreate without weights:
^^ A sine wave, centered around zero, period of 16. Gray line made by: DWFT (direct weighted Fourier transform) -> spectral gating -> IWFT (inverse weighted Fourier transform) -> plotting the last value of gated reconstructed data, all applied to expanding window. Look how precisely it follows the original data (the sine wave) with no lag at all. This can't be done by using non-weighted version of Fourier transform.
^^ spectral filtering applied to the whole dataset, calculated on the latest data update
And you should never forget about Fast Fourier Transform, tho it needs recursion...
Section 2: About use cases for quant trading, about this particular implementaion in Pine Script 6 (currently the latest version as of Friday 13, December 2k24).
Given the current state of things, we have certain limits on matrix size on TradingView (and we need big dope matrixes to calculate polynomial regression -> detrend & center our data before Fourier), and recursion is not yet available in Pine Script, so the script works on short datasets only, and requires some time.
A note on detrending. For quality results, Fourier Transform should be applied to not only stationary but also centered around zero data. The rightest way to do detrending of time series
is to fit Cumulative Weighted Moving Polynomial Regression (known as WLSMA in some narrow circles xD) and calculate the deltas between datapoint at time t and this wonderful fit at time t. That's exactly what you see on the main chart of script description: notice the distances between chart and WLSMA, now look lower and see how it matches the distances between zero and purple line in WFT study. Using residuals of one regression fit of the whole dataset makes less sense in time series context, we break some 'time' and order rules in a way, tho not many understand/cares abouit it in mainstream quant industry.
Two ways of using the script:
Spectral Gating aka Spectral filtering. Frequency domain filtering is quite responsive and for a greater computational cost does not introduce a lag the way it works with time-domain filtering. Works this way: direct Fourier transform your data to get frequency & phase info -> compute power spectrum out of it -> zero out all dem freqs that ain't hit your threshold -> inverse Fourier tranform what's left -> repeat at each datapoint plotting the very first value of reconstructed array*. With this you can watch for zero crossings to make appropriate trading decisions.
^^ plot Freq pass to use the script this way, use Level setting to control the intensity of gating. These 3 only available values: -1, 0 and 1, are the general & natural ones.
* if you turn on labels in script's style settings, you see the gray dots perfectly fitting your data. They get recalculated (for the whole dataset) at each update. You call it repainting, this is for analytical & aesthetic purposes. Included for demonstration only.
Finding main/dominant frequency & period. You can use it to set up Length for your other studies, and for analytical purposes simply to understand the periodicity of your data.
^^ plot main frequency/main period to use the script this way. On the screenshot, you can see the script applied to sine wave of period 16, notice how many datapoints it took the algo to figure out the signal's period quite good in expanding window mode
Now what's the next step? You can try applying signal windowing techniques to make it all less data-driven but your ego-driven, make a weighted periodogram or autocorrelogram (check Wiener-Khinchin Theorem ), and maybe whole shiny spectrogram?
... you decide, choice is yours,
The butterfly reflect the doors ...
∞
Multiple vlines boxes and averages distance to candles@emami
Indicator: "Multiple Vertical Lines with Boxes and Averages with Distance to Candles"
Description:
This Pine Script is designed to help traders analyze price movements over different time frames by visually drawing vertical lines and boxes based on selected date/time points. The script calculates the highest high, lowest low, and midpoints of the last 9, 26, and 52 bars, drawing a box around each range. Additionally, the script displays the distance from the high and low to the current bar.
Key Features:
Multiple Vertical Lines:
Vertical lines are drawn at user-specified times, allowing traders to highlight critical points on the chart for further analysis.
Dynamic Boxes Based on Bar Count:
9-bar Box: Displays the highest high and lowest low for the last 9 bars (including the current bar) and draws a box around this range. A midpoint line is also plotted.
26-bar Box: Similar to the 9-bar box, but for the last 26 bars.
52-bar Box: Displays the same calculation for the last 52 bars.
Distance Calculations:
The script calculates the distance from the highest high and lowest low of each box to the current bar, providing valuable insight into the range and price movement for each time window.
Visual Display:
Each box is colored differently for easy identification (orange for 9 bars, white for 26 bars, and green for 52 bars).
Midpoint lines are drawn in different colors to distinguish between the 9-bar, 26-bar, and 52-bar ranges.
Labels are placed above the high and below the low of each box, showing the exact high/low values and the distance to the current bar.
How It Works:
The script first waits for the specified date and time inputs. Once the time condition is met, it performs the calculations for the high, low, and midpoint of the last 9, 26, and 52 bars.
The script then plots vertical lines at the specified times and draws boxes based on the highest high and lowest low for each range.
A midpoint is drawn for each box, and labels are placed with the high/low values and the distances from these values to the current bar.
How to Use It:
Set the date and time for the vertical lines you want to analyze.
The script will automatically draw the lines and boxes for the selected time frames.
Review the boxes and midpoints to identify potential price levels for analysis.
Use the distance values to assess the current price's proximity to the high/low of the respective bar range.
Improvements Based on Rules:
Language:
Make sure your title and description are in English. If you use any other language, ensure it’s accompanied by an English translation.
Clean Chart:
Ensure that the chart you’re publishing with the script is clear and simple, without additional, unnecessary indicators or drawings.
Originality & Usefulness:
If your script is closed-source, clarify why it is closed-source. Provide enough details about its unique functionality so traders can understand its purpose and utility.
No Advertisements or Promotions:
Double-check that your description does not contain any links, promotional content, or references to websites, companies, or social media.
Suggested Tags for Script:
#PineScript
#VerticalLines
#PriceAnalysis
#TechnicalAnalysis
#SupportResistance
#BoxingStrategy
#MidpointCalculation
#DistanceToCandles
#ChartIndicators
Asset Corr. with BTC/USD (Macroeconomics X BTC)This indicator provides a comprehensive analysis of the correlation between multiple assets (DXY, Gold, S&P 500, US10Y, and USDT Dominance) and their potential impact on the BTC/USD price. The script calculates the 24-hour percentage variation of these assets, determines their direction (bullish, bearish, or neutral), and displays this information in a table, helping traders assess how each asset is influencing BTC.
How the Script Works:
Asset Monitoring:
The script tracks the following assets:
DXY: The U.S. Dollar Index.
Gold (XAUUSD): The price of gold in U.S. dollars.
S&P 500 (SP500): A stock market index of U.S. companies.
US10Y: U.S. 10-year treasury yield.
USDT Dominance (USDT.D): The market dominance of USDT (Tether) in the crypto market.
Variation Calculation:
The script calculates the percentage variation for each asset over the last 24 hours using the close price of the previous day and the current close price on the 5-minute chart.
Based on the variation, the script determines the direction of each asset:
Bullish (1): Positive variation.
Bearish (-1): Negative variation.
Neutral (0): No significant change.
Impact Assessment:
The script uses weighted values for each asset to calculate its potential impact on BTC. The assets are given different weights:
DXY = 3
Gold = 2
S&P 500 = 2
US10Y = 3
USDT.D = 3
The direction and correlation of each asset are assessed to determine whether they are having a positive or negative impact on BTC. This impact is represented by arrows in the table.
Table Display:
The script displays a table on the chart, providing detailed information for each asset:
Asset: The name of the asset being analyzed.
Weight (Wgt): The assigned weight of the asset.
Direction (Dir): The current direction of the asset (up, down, or neutral).
24h Variation (Var %): The percentage change of the asset over the last 24 hours.
BTC Impact: The predicted impact of each asset on BTC, based on its direction and correlation.
Dominance Calculation:
A final "Dominance" score is calculated by summing the weighted values of each asset's direction and correlation with BTC.
This result is displayed in the table, providing a clear indication of whether the overall market sentiment is bullish or bearish for BTC.
How to Use the Script:
Add the Indicator: Apply the script to any chart with a 5-minute timeframe. The indicator works by analyzing the correlation of multiple assets with BTC, so it is best used for short-term traders looking to gauge BTC's price movement based on broader market trends.
Interpret the Table: The table shows the direction, variation, and impact of each asset on BTC. The "Dominance" row at the end of the table provides an overall sentiment score, helping traders understand whether the broader market is leaning bullish or bearish on BTC.
Monitor the Correlation: By tracking the assets with the highest weights and monitoring their influence on BTC, traders can make informed decisions on potential BTC price movements.
Key Concepts:
Asset Correlation: The script monitors multiple key assets that typically influence BTC's price, including the U.S. Dollar Index, Gold, S&P 500, US10Y, and USDT Dominance.
Impact Assessment: Uses weighted calculations to assess how each asset’s direction affects BTC.
Dominance Score: Provides a summary score of overall market sentiment, helping traders understand the broader influence on BTC.
Short-Term Trading: This tool is optimized for short-term traders who want to gauge market sentiment and its effect on BTC in real time.
For a better view of the table, right-click on >> visual order >> bring it to the top.
Cumulative Buying and Selling Volume with 3 Lookback PeriodsScript Overview:
This script is designed to help traders identify market momentum by analyzing buying and selling volume. It calculates the cumulative buying and selling pressure over three different lookback periods, providing insights into whether the bulls or bears are dominating at any given time. The script does this by computing the cumulative buying and selling volume for each period and comparing them through exponential moving averages (EMA) to smooth out short-term fluctuations.
Purpose and Use:
The primary goal of this script is to highlight shifts in market sentiment based on volume dynamics. Volume is a critical component in market analysis, often signaling the strength behind price movements. By focusing on cumulative buying and selling pressure, the script gives traders an idea of whether the market is trending towards more buying or selling during specific periods. Traders can use this tool to:
Identify potential entry points when buying pressure is strong.
Recognize potential selling opportunities when selling pressure is increasing.
Detect periods of indecision when neither buying nor selling dominates.
Key Concepts:
1. Buying Volume (BV):
The buying volume is calculated based on the price range of each candle. It represents the volume allocated to the bullish side of the market:
When the close is near the high, the buying volume is higher.
Formula: BV = volume * (close - low) / (high - low).
2. Selling Volume (SV):
Similarly, selling volume is derived based on the position of the close relative to the low:
When the close is near the low, selling volume is higher.
Formula: SV = volume * (high - close) / (high - low)
3. Lookback Periods:
The script allows users to define three different lookback periods (5, 10, and 20 by default). These periods smooth out the cumulative buying and selling volumes using EMA calculations:
Shorter periods capture more immediate changes in volume dynamics.
Longer periods provide a broader perspective on market trends.
4. Cumulative Volume Calculation:
For each lookback period, cumulative buying and selling volumes are tracked separately and then smoothed with EMA:
emaBuyVol and emaSellVol are the smoothed values for buying and selling volumes over the lookback periods.
5. Market Pressure Comparison:
Buying Pressure: If the EMA of buying volume is greater than the EMA of selling volume for a particular lookback period, the script considers that buying pressure dominates for that period.
Selling Pressure: Conversely, if selling volume dominates over buying volume for a period, the script registers selling pressure.
6. Overall Market Pressure:
The script aggregates the buying and selling pressures from the three lookback periods to determine the overall market sentiment:
If the majority of periods show buying pressure, the market is bullish.
If the majority show selling pressure, the market is bearish.
If neither side dominates, it suggests a neutral or indecisive market.
Visual Cues:
The script provides visual feedback to help traders quickly interpret the market pressure:
Background Color:
Green (#2bff00) when buying pressure dominates.
Red (#ff0000) when selling pressure dominates.
Gray (#404040) when there is no clear dominance.
Bar Color: The script also colors the price bars based on the dominant market pressure:
Green for buying pressure.
Red for selling pressure.
Gray for neutral or balanced market pressure.
Reset Mechanism:
At the start of each new candle, the cumulative volumes for all three periods are reset to zero. This ensures that the cumulative volumes are only measured for the current candle, preventing carryover from previous periods that could distort the analysis.
How Traders Can Use This Script:
Trend Confirmation: Traders can use the script as a trend confirmation tool. When the background turns green (buying dominance), it suggests bullish momentum. When red, bearish momentum is likely. This information can be used to confirm existing positions or signal new trades in the direction of the market pressure.
Reversal Detection: A sudden shift in the background color (from green to red or vice versa) can indicate a potential reversal. This can be particularly useful when combined with other technical indicators such as price action or support/resistance levels.
Multiple Timeframes: Since the script supports three different lookback periods, it provides a comprehensive view of market pressure across short-term, medium-term, and long-term perspectives. Traders can tailor the lookback periods based on their preferred timeframe to match their trading style, whether it’s intraday trading or longer-term swing trading.
Risk Management: The script's clear visual cues help traders manage risk by highlighting when selling pressure increases, allowing them to consider reducing long positions or tightening stop-losses.
Ichimoku Wave Oscillator with Custom MAIchimoku Wave Oscillator with Custom MA - Pine Script Description
This script uses various types of moving averages (MA) to implement the concept of Ichimoku wave theory for wave analysis. The user can select from SMA, EMA, WMA, TEMA, SMMA to visualize the difference between short-term, medium-term, and long-term waves, while identifying potential buy and sell signals at crossover points.
Key Features:
MA Type Selection:
The user can select from SMA (Simple Moving Average), EMA (Exponential Moving Average), WMA (Weighted Moving Average), TEMA (Triple Exponential Moving Average), and SMMA (Smoothed Moving Average) to calculate the waves. This script is unique in that it combines TEMA and SMMA, distinguishing it from other simple moving average-based indicators.
TEMA (Triple Exponential Moving Average): Best suited for capturing short-term trends with quick responsiveness.
SMMA (Smoothed Moving Average): Useful for identifying long-term trends with minimal noise, providing more stable signals.
Wave Calculations:
The script calculates three waves: Wave 9-17, Wave 17-26, and Wave 9-26, each of which analyzes different time horizons.
Wave 9-17 (blue): Primarily used for analyzing short-term trends, ideal for detecting quick changes.
Wave 17-26 (red): Used to analyze medium-term trends, providing a more stable market direction.
Wave 9-26 (green): Represents long-term trends, suitable for understanding broader trend shifts.
Baseline (0 Line):
Each wave is visualized around the 0 line, where waves above the line indicate an uptrend and waves below the line indicate a downtrend. This allows for easy identification of trend reversals.
Crossover Signals:
CrossUp: When Wave 9-17 (short-term wave) crosses Wave 17-26 (medium-term wave) upward, it is considered a buy signal, indicating a potential upward trend shift.
CrossDown: When Wave 9-17 (short-term wave) crosses Wave 17-26 downward, it is considered a sell signal, indicating a potential downward trend shift.
Background Color for Signal:
The script visually highlights the signals with background colors. When a buy signal occurs, the background turns green, and when a sell signal occurs, the background turns red. This makes it easier to spot reversal points.
Calculation Method:
The script calculates the difference between moving averages to display the wave oscillation. Wave 9-17, Wave 17-26, and Wave 9-26 represent the difference between the moving averages for different time periods, allowing for analysis of short-term, medium-term, and long-term trends.
Wave 9-17 = MA(9) - MA(17): Represents the difference between the short-term moving averages.
Wave 17-26 = MA(17) - MA(26): Represents the difference between medium-term moving averages.
Wave 9-26 = MA(9) - MA(26): Provides insight into the long-term trend.
This calculation method effectively visualizes the oscillation of waves and helps identify trend reversals at crossover points.
Uniqueness of the Script:
Unlike other moving average-based indicators, this script combines TEMA (Triple Exponential Moving Average) and SMMA (Smoothed Moving Average) to capture both short-term sensitivity and long-term stability in trends. This duality makes the script more versatile for different market conditions.
TEMA is ideal for short-term traders who need quick signals, while SMMA is useful for long-term investors seeking stability and noise reduction. By combining these two, this script provides a more refined analysis of trend changes across various timeframes.
How to Use:
This script is effective for trend analysis and reversal detection. By visualizing the crossover points between the waves, users can spot potential buy and sell signals to make more informed trading decisions.
Scalping strategies can rely on Wave 9-17 to detect quick trend changes, while those looking for medium-term trends can analyze signals from Wave 17-26.
For a broader market overview, Wave 9-26 helps users understand the long-term market trend.
This script is built on the concept of wave theory to anticipate trend changes, making it suitable for various timeframes and strategies. The user can tailor the characteristics of the waves by selecting different MA types, allowing for flexible application across different trading strategies.
Ichimoku Wave Oscillator with Custom MA - Pine Script 설명
이 스크립트는 다양한 이동 평균(MA) 유형을 활용하여 일목 파동론의 개념을 기반으로 파동 분석을 시도하는 지표입니다. 사용자는 SMA, EMA, WMA, TEMA, SMMA 중 원하는 이동 평균을 선택할 수 있으며, 이를 통해 단기, 중기, 장기 파동 간의 차이를 시각화하고, 교차점에서 상승 및 하락 신호를 포착할 수 있습니다.
주요 기능:
이동 평균(MA) 유형 선택:
사용자는 SMA(단순 이동 평균), EMA(지수 이동 평균), WMA(가중 이동 평균), TEMA(삼중 지수 이동 평균), SMMA(평활 이동 평균) 중 하나를 선택하여 파동을 계산할 수 있습니다. 이 스크립트는 TEMA와 SMMA의 독창적인 조합을 통해 기존의 단순한 이동 평균 지표와 차별화됩니다.
TEMA(삼중 지수 이동 평균): 빠른 반응으로 단기 트렌드를 포착하는 데 적합합니다.
SMMA(평활 이동 평균): 장기적인 추세를 파악하는 데 유용하며, 노이즈를 최소화하여 안정적인 신호를 제공합니다.
파동(Wave) 계산:
이 스크립트는 Wave 9-17, Wave 17-26, Wave 9-26의 세 가지 파동을 계산하여 각각 단기, 중기, 장기 추세를 분석합니다.
Wave 9-17 (파란색): 주로 단기 추세를 분석하는 데 사용되며, 빠른 추세 변화를 포착하는 데 유용합니다.
Wave 17-26 (빨간색): 중기 추세를 분석하는 데 사용되며, 좀 더 안정적인 시장 흐름을 보여줍니다.
Wave 9-26 (녹색): 장기 추세를 나타내며, 큰 흐름의 방향성을 파악하는 데 적합합니다.
기준선(0 라인):
각 파동은 0 라인을 기준으로 변동성을 시각화합니다. 0 위에 있는 파동은 상승세, 0 아래에 있는 파동은 하락세를 나타내며, 이를 통해 추세의 전환을 쉽게 확인할 수 있습니다.
파동 교차 신호:
CrossUp: Wave 9-17(단기 파동)이 Wave 17-26(중기 파동)을 상향 교차할 때, 상승 신호로 간주됩니다. 이는 단기적인 추세 변화가 발생할 수 있음을 의미합니다.
CrossDown: Wave 9-17(단기 파동)이 Wave 17-26(중기 파동)을 하향 교차할 때, 하락 신호로 해석됩니다. 이는 시장이 약세로 돌아설 가능성을 나타냅니다.
배경 색상 표시:
교차 신호가 발생할 때, 상승 신호는 녹색 배경, 하락 신호는 빨간색 배경으로 시각적으로 강조되어 사용자가 신호를 쉽게 인식할 수 있습니다.
계산 방식:
이 스크립트는 이동 평균 간의 차이를 계산하여 각 파동의 변동성을 나타냅니다. Wave 9-17, Wave 17-26, Wave 9-26은 각각 설정된 주기의 이동 평균(MA)의 차이를 통해, 시장의 단기, 중기, 장기 추세 변화를 시각적으로 표현합니다.
Wave 9-17 = MA(9) - MA(17): 단기 추세의 차이를 나타냅니다.
Wave 17-26 = MA(17) - MA(26): 중기 추세의 차이를 나타냅니다.
Wave 9-26 = MA(9) - MA(26): 장기적인 추세 방향을 파악할 수 있습니다.
이러한 계산 방식은 파동의 변동성을 파악하는 데 유용하며, 추세의 교차점을 통해 상승/하락 신호를 잡아냅니다.
스크립트의 독창성:
이 스크립트는 기존의 이동 평균 기반 지표들과 달리, TEMA(삼중 지수 이동 평균)와 SMMA(평활 이동 평균)을 함께 사용하여 짧은 주기와 긴 주기의 트렌드를 동시에 파악할 수 있도록 설계되었습니다. 이를 통해 단기 트렌드의 민감한 변화와 장기 트렌드의 안정성을 모두 반영합니다.
TEMA는 단기 트레이더에게 빠르고 민첩한 신호를 제공하며, SMMA는 장기 투자자에게 보다 안정적이고 긴 호흡의 트렌드를 파악하는 데 유리합니다. 두 지표의 결합으로, 다양한 시장 환경에서 추세의 변화를 더 정교하게 분석할 수 있습니다.
사용 방법:
이 스크립트는 추세 분석과 변곡점 포착에 효과적입니다. 각 파동 간의 교차점을 시각적으로 확인하고, 상승 또는 하락 신호를 포착하여 매매 시점 결정을 도울 수 있습니다.
스캘핑 전략에서는 Wave 9-17을 주로 참고하여 빠르게 추세 변화를 잡아내고, 중기 추세를 참고하고 싶은 경우 Wave 17-26을 사용해 신호를 분석할 수 있습니다.
장기적인 시장 흐름을 파악하고자 할 때는 Wave 9-26을 통해 큰 트렌드를 확인할 수 있습니다.
이 스크립트는 파동 이론의 개념을 기반으로 시장의 추세 변화를 예측하는 데 유용하며, 다양한 시간대와 전략에 맞추어 사용할 수 있습니다. 특히, 사용자가 선택한 MA 유형에 따라 파동의 특성을 변화시킬 수 있어, 여러 매매 전략에 유연하게 대응할 수 있습니다.
