Bar Balance [LucF]Bar Balance extracts the number of up, down and neutral intrabars contained in each chart bar, revealing information on the strength of price movement. It can display stacked columns representing raw up/down/neutral intrabar counts, or an up/down balance line which can be calculated and visualized in many different ways.
WARNING: This is an analysis tool that works on historical bars only. It does not show any realtime information, and thus cannot be used to issue alerts or for automated trading. When realtime bars elapse, the indicator will require a browser refresh, a change to its Inputs or to the chart's timeframe/symbol to recalculate and display information on those elapsed bars. Once a trader understands this, the indicator can be used advantageously to make discretionary trading decisions.
Traders used to work with my Delta Volume Columns Pro will feel right at home in this indicator's Inputs . It has lots of options, allowing it to be used in many different ways. If you value the bar balance information this indicator mines, I hope you will find the time required to master the use of Bar Balance well worth the investment.
█ OVERVIEW
The indicator has two modes: Columns and Line .
Columns
• In Columns mode you can display stacked Up/Down/Neutral columns.
• The "Up" section represents the count of intrabars where `close > open`, "Down" where `close < open` and "Neutral" where `close = open`.
• The Up section always appears above the centerline, the Down section below. The Neutral section overlaps the centerline, split halfway above and below it.
The Up and Down sections start where the Neutral section ends, when there is one.
• The Up and Down sections can be colored independently using 7 different methods.
• The signal line plotted in Line mode can also be displayed in Columns mode.
Line
• Displays a single balance line using a zero centerline.
• A variable number of independent methods can be used to calculate the line (6), determine its color (5), and color the fill (5).
You can thus evaluate the state of 3 different components with this single line.
• A "Divergence Levels" feature will use the line to automatically draw expanding levels on divergence events.
Features available in both modes
• The color of all components can be selected from 15 base colors, with 16 gradient levels used for each base color in the indicator's gradients.
• A zero line can show a 6-state aggregate value of the three main volume balance modes.
• The background can be colored using any of 5 different methods.
• Chart bars can be colored using 5 different methods.
• Divergence and large neutral count ratio events can be shown in either Columns or Line mode, calculated in one of 4 different methods.
• Markers on 6 different conditions can be displayed.
█ CONCEPTS
Intrabar inspection
Intrabar inspection means the indicator looks at lower timeframe bars ( intrabars ) making up a given chart bar to gather its information. If your chart is on a 1-hour timeframe and the intrabar resolution determined by the indicator is 5 minutes, then 12 intrabars will be analyzed for each chart bar and the count of up/down/neutral intrabars among those will be tallied.
Bar Balances and calculation methods
The indicator uses a variety of methods to evaluate bar balance and to derive other calculations from them:
1. Balance on Bar : Uses the relative importance of instant Up and Down counts on the bar.
2. Balance Averages : Uses the difference between the EMAs of Up and Down counts.
3. Balance Momentum : Starts by calculating, separately for both Up and Down counts, the difference between the same EMAs used in Balance Averages and an SMA of double the period used for the EMAs. These differences are then aggregated and finally, a bounded momentum of that aggregate is calculated using RSI.
4. Markers Bias : It sums the bull/bear occurrences of the four previous markers over a user-defined period (the default is 14).
5. Combined Balances : This is the aggregate of the instant bull/bear bias of the three main bar balances.
6. Dual Up/Down Averages : This is a display mode showing the EMA calculated for each of the Up and Down counts.
Interpretation of neutral intrabars
What do neutral intrabars mean? When price does not change during a bar, it can be because there is simply no interest in the market, or because of a perfect balance between buyers and sellers. The latter being more improbable, Bar Balance assumes that neutral bars reveal a lack of interest, which entails uncertainty. That is the reason why the option is provided to interpret ratios of neutral intrabars greater than 50% as divergences. It is also the rationale behind the option to dampen signal lines on the inverse ratio of neutral intrabars, so that zero intrabars do not affect the signal, and progressively larger proportions of neutral intrabars will reduce the signal's amplitude, as the balance calcs using the up/down counts lose significance. The impact of the dampening will vary with markets. Weaker markets such as cryptos will often contain greater numbers of neutral intrabars, so dampening the Line in that sector will have a greater impact than in more liquid markets.
█ FEATURES
1 — Columns
• While the size of the Up/Down columns always represents their respective importance on the bar, their coloring mode is independent. The default setup uses a standard coloring mode where the Up/Down columns over/under the zero line are always in the bull/bear color with a higher intensity for the winning side. Six other coloring modes allow you to pack more information in the columns. When choosing to color the top columns using a bull/bear gradient on Balance Averages, for example, you will end up with bull/bear colored tops. In order for the color of the bottom columns to continue to show the instant bar balance, you can then choose the "Up/Down Ratio on Bar — Dual Solid Colors" coloring mode to make those bars the color of the winning side for that bar.
• Line mode shows only the line, but Columns mode allows displaying the line along with it. If the scale of the line is different than that of the scale of the columns, the line will often appear flat. Traders may find even a flat line useful as its bull/bear colors will be easily distinguishable.
2 — Line
• The default setup for Line mode uses a calculation on "Balance Momentum", with a fill on the longer-term "Balance Averages" and a line color based on the "Markers Bias". With the background set on "Line vs Divergence Levels" and the zero line on the hard-coded "Combined Bar Balances", you have access to five distinct sources of information at a glance, to which you can add divergences, divergences levels and chart bar coloring. This provides powerful potential in displaying bar balance information.
• When no columns are displayed, Line mode can show the full scale of whichever line you choose to calculate because the columns' scale no longer interferes with the line's scale.
• Note that when "Balance on Bar" is selected, the Neutral count is also displayed as a ratio of the balance line. This is the only instance where the Neutral count is displayed in Line mode.
• The "Dual Up/Down Averages" is an exception as it displays two lines: one average for the Up counts and another for the Down counts. This mode will be most useful when Columns are also displayed, as it provides a reference for the top and bottom columns.
3 — Zero Line
The zero line can be colored using two methods, both based on the Combined Balances, i.e., the aggregate of the instant bull/bear bias of the three main bar balances.
• In "Six-state Dual Color Gradient" mode, a dot appears on every bar. Its color reflects the bull/bear state of the Combined Balances, and the dot's brightness reflects the tally of balance biases.
• In "Dual Solid Colors (All Bull/All Bear Only)" a dot only appears when all three balances are either bullish or bearish. The resulting pattern is identical to that of Marker 1.
4 — Divergences
• Divergences are displayed as a small circle at the top of the scale. Four different types of divergence events can be detected. Divergences occur whenever the bull/bear bias of the method used diverges with the bar's price direction.
• An option allows you to include in divergence events instances where the count of neutral intrabars exceeds 50% of the total intrabar count.
• The divergence levels are dynamic levels that automatically build from the line's values on divergence events. On consecutive divergences, the levels will expand, creating a channel. This implementation of the divergence levels corresponds to my view that divergences indicate anomalies, hesitations, points of uncertainty if you will. It excludes any association of a pre-determined bullish/bearish bias to divergences. Accordingly, the levels merely take note of divergence events and mark those points in time with levels. Traders then have a reference point from which they can evaluate further movement. The bull/bear/neutral colors used to plot the levels are also congruent with this view in that they are determined by price's position relative to the levels, which is how I think divergences can be put to the most effective use.
5 — Background
• The background can show a bull/bear gradient on four different calculations. You can adjust its brightness to make its visual importance proportional to how you use it in your analysis.
6 — Chart bars
• Chart bars can be colored using five different methods.
• You have the option of emptying the body of bars where volume does not increase, as does my TLD indicator, the idea behind this being that movement on bars where volume does not increase is less relevant.
7 — Intrabar Resolution
You can choose between three modes. Two of them are automatic and one is manual:
a) Fast, Longer history, Auto-Steps (~12 intrabars) : Optimized for speed and deeper history. Uses an average minimum of 12 intrabars.
b) More Precise, Shorter History Auto-Steps (~24 intrabars) : Uses finer intrabar resolution. It is slower and provides less history. Uses an average minimum of 24 intrabars.
c) Fixed : Uses the fixed resolution of your choice.
Auto-Steps calculations vary for 24/7 and conventional markets in order to achieve the proper target of minimum intrabars.
You can choose to view the intrabar resolution currently used to calculate delta volume. It is the default.
The proper selection of the intrabar resolution is important. It must achieve maximal granularity to produce precise results while not unduly slowing down calculations, or worse, causing runtime errors.
8 — Markers
Six markers are available:
1. Combined Balances Agreement : All three Bar Balances are either bullish or bearish.
2. Up or Down % Agrees With Bar : An up marker will appear when the percentage of up intrabars in an up chart bar is greater than the specified percentage. Conditions mirror to down bars.
3. Divergence confirmations By Price : One of the four types of balance calculations can be used to detect divergences with price. Confirmations occur when the bar following the divergence confirms the balance bias. Note that the divergence events used here do not include neutral intrabar events.
4. Balance Transitions : Bull/bear transitions of the selected balance.
5. Markers Bias Transitions : Bull/bear transitions of the Markers Bias.
6. Divergence Confirmations By Line : Marks points where the line first breaches a divergence level.
Markers appear when the condition is detected, without delay. Since nothing is plotted in realtime, markers do not appear on the realtime bar.
9 — Settings
• Two modes can be selected to dampen the line on the ratio of neutral intrabars.
• A distinct weight can be attributed to the count of the latter half of intrabars, on the assumption that later intrabars may be more important in determining the outcome of chart bars.
• Allows control over the periods of the different moving averages used in calculations.
• The default periods used for the various calculations define the following hierarchy from slow to fast:
Balance Averages: 50,
Balance Momentum: 20,
Dual Up/Down Averages: 20,
Marker Bias: 10.
█ LIMITATIONS
• This script uses a special characteristic of the `security()` function allowing the inspection of intrabars—which is not officially supported by TradingView.
• The method used does not work on the realtime bar—only on historical bars.
• The indicator only works on some chart resolutions: 3, 5, 10, 15 and 30 minutes, 1, 2, 4, 6, and 12 hours, 1 day, 1 week and 1 month. The script’s code can be modified to run on other resolutions, but chart resolutions must be divisible by the lower resolution used for intrabars and the stepping mechanism could require adaptation.
• When using the "Line vs Divergence Levels — Dual Color Gradient" color mode to fill the line, background or chart bars, keep in mind that a line calculation mode must be defined for it to work, as it determines gradients on the movement of the line relative to divergence levels. If the line is hidden, it will not work.
• When the difference between the chart’s resolution and the intrabar resolution is too great, runtime errors will occur. The Auto-Steps selection mechanisms should avoid this.
• Alerts do not work reliably when `security()` is used at intrabar resolutions. Accordingly, no alerts are configured in the indicator.
• The color model used in the indicator provides for fancy visuals that come at a price; when you change values in Inputs , it can take 20 seconds for the changes to materialize. Luckily, once your color setup is complete, the color model does not have a large performance impact, as in normal operation the `security()` calls will become the most important factor in determining response time. Also, once in a while a runtime error will occur when you change inputs. Just making another change will usually bring the indicator back up.
█ RAMBLINGS
Is this thing useful?
I'll let you decide. Bar Balance acts somewhat like an X-Ray on bars. The intrabars it analyzes are no secret; one can simply change the chart's resolution to see the same intrabars the indicator uses. What the indicator brings to traders is the precise count of up/down/neutral intrabars and, more importantly, the calculations it derives from them to present the information in a way that can make it easier to use in trading decisions.
How reliable is Bar Balance information?
By the same token that an up bar does not guarantee that more up bars will follow, future price movements cannot be inferred from the mere count of up/down/neutral intrabars. Price movement during any chart bar for which, let's say, 12 intrabars are analyzed, could be due to only one of those intrabars. One can thus easily see how only relying on bar balance information could be very misleading. The rationale behind Bar Balance is that when the information mined for multiple chart bars is aggregated, it can provide insight into the history behind chart bars, and thus some bias as to the strength of movements. An up chart bar where 11/12 intrabars are also up is assumed to be stronger than the same up bar where only 2/12 intrabars are up. This logic is not bulletproof, and sometimes Bar Balance will stray. Also, keep in mind that balance lines do not represent price momentum as RSI would. Bar Balance calculations have no idea where price is. Their perspective, like that of any historian, is very limited, constrained that it is to the narrow universe of up/down/neutral intrabar counts. You will thus see instances where price is moving up while Balance Momentum, for example, is moving down. When Bar Balance performs as intended, this indicates that the rally is weakening, which does necessarily imply that price will reverse. Occasionally, price will merrily continue to advance on weakening strength.
Divergences
Most of the divergence detection methods used here rely on a difference between the bias of a calculation involving a multi-bar average and a given bar's price direction. When using "Bar Balance on Bar" however, only the bar's balance and price movement are used. This is the default mode.
As usual, divergences are points of interest because they reveal imbalances, which may or may not become turning points. I do not share the overwhelming enthusiasm traders have for the purported ability of bullish/bearish divergences to indicate imminent reversals.
Superfluity
In "The Bed of Procrustes", Nassim Nicholas Taleb writes: To bankrupt a fool, give him information . Bar Balance can display lots of information. While learning to use a new indicator inevitably requires an adaptation period where we put it through its paces and try out all its options, once you have become used to Bar Balance and decide to adopt it, rigorously eliminate the components you don't use and configure the remaining ones so their visual prominence reflects their relative importance in your analysis. I tried to provide flexible options for traders to control this indicator's visuals for that exact reason—not for window dressing.
█ NOTES
For traders
• To avoid misleading traders who don't read script descriptions, the indicator shows nothing in the realtime bar.
• The Data Window shows key values for the indicator.
• All gradients used in this indicator determine their brightness intensities using advances/declines in the signal—not their relative position in a fixed scale.
• Note that because of the way gradients are optimized internally, changing their brightness will sometimes require bringing down the value a few steps before you see an impact.
• Because this indicator does not use volume, it will work on all markets.
For coders
• For those interested in gradients, this script uses an advanced version of the Advance/Decline gradient function from the PineCoders Color Gradient (16 colors) Framework . It allows more precise control over the range, steps and min/max values of the gradients.
• I use the PineCoders Coding Conventions for Pine to write my scripts.
• I used functions modified from the PineCoders MTF Selection Framework for the selection of timeframes.
█ THANKS TO:
— alexgrover who helped me think through the dampening method used to attenuate signal lines on high ratios of neutral intrabars.
— A guy called Kuan who commented on a Backtest Rookies presentation of their Volume Profile indicator . The technique I use to inspect intrabars is derived from Kuan's code.
— theheirophant , my partner in the exploration of the sometimes weird abysses of `security()`’s behavior at intrabar resolutions.
— midtownsk8rguy , my brilliant companion in mining the depths of Pine graphics. He is also the co-author of the PineCoders Color Gradient Frameworks .
חפש סקריפטים עבור "THE SCRIPT"
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
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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
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My modification and other info here
- Absolute Strength Histogram v2
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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
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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.
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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.
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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
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Kernel Regression Envelope with SMI OscillatorThis script combines the predictive capabilities of the **Nadaraya-Watson estimator**, implemented by the esteemed jdehorty (credit to him for his excellent work on the `KernelFunctions` library and the original Nadaraya-Watson Envelope indicator), with the confirmation strength of the **Stochastic Momentum Index (SMI)** to create a dynamic trend reversal strategy. The core idea is to identify potential overbought and oversold conditions using the Nadaraya-Watson Envelope and then confirm these signals with the SMI before entering a trade.
**Understanding the Nadaraya-Watson Envelope:**
The Nadaraya-Watson estimator is a non-parametric regression technique that essentially calculates a weighted average of past price data to estimate the current underlying trend. Unlike simple moving averages that give equal weight to all past data within a defined period, the Nadaraya-Watson estimator uses a **kernel function** (in this case, the Rational Quadratic Kernel) to assign weights. The key parameters influencing this estimation are:
* **Lookback Window (h):** This determines how many historical bars are considered for the estimation. A larger window results in a smoother estimation, while a smaller window makes it more reactive to recent price changes.
* **Relative Weighting (alpha):** This parameter controls the influence of different time frames in the estimation. Lower values emphasize longer-term price action, while higher values make the estimator more sensitive to shorter-term movements.
* **Start Regression at Bar (x\_0):** This allows you to exclude the potentially volatile initial bars of a chart from the calculation, leading to a more stable estimation.
The script calculates the Nadaraya-Watson estimation for the closing price (`yhat_close`), as well as the highs (`yhat_high`) and lows (`yhat_low`). The `yhat_close` is then used as the central trend line.
**Dynamic Envelope Bands with ATR:**
To identify potential entry and exit points around the Nadaraya-Watson estimation, the script uses **Average True Range (ATR)** to create dynamic envelope bands. ATR measures the volatility of the price. By multiplying the ATR by different factors (`nearFactor` and `farFactor`), we create multiple bands:
* **Near Bands:** These are closer to the Nadaraya-Watson estimation and are intended to identify potential immediate overbought or oversold zones.
* **Far Bands:** These are further away and can act as potential take-profit or stop-loss levels, representing more extreme price extensions.
The script calculates both near and far upper and lower bands, as well as an average between the near and far bands. This provides a nuanced view of potential support and resistance levels around the estimated trend.
**Confirming Reversals with the Stochastic Momentum Index (SMI):**
While the Nadaraya-Watson Envelope identifies potential overextended conditions, the **Stochastic Momentum Index (SMI)** is used to confirm a potential trend reversal. The SMI, unlike a traditional stochastic oscillator, oscillates around a zero line. It measures the location of the current closing price relative to the median of the high/low range over a specified period.
The script calculates the SMI on a **higher timeframe** (defined by the "Timeframe" input) to gain a broader perspective on the market momentum. This helps to filter out potential whipsaws and false signals that might occur on the current chart's timeframe. The SMI calculation involves:
* **%K Length:** The lookback period for calculating the highest high and lowest low.
* **%D Length:** The period for smoothing the relative range.
* **EMA Length:** The period for smoothing the SMI itself.
The script uses a double EMA for smoothing within the SMI calculation for added smoothness.
**How the Indicators Work Together in the Strategy:**
The strategy enters a long position when:
1. The closing price crosses below the **near lower band** of the Nadaraya-Watson Envelope, suggesting a potential oversold condition.
2. The SMI crosses above its EMA, indicating positive momentum.
3. The SMI value is below -50, further supporting the oversold idea on the higher timeframe.
Conversely, the strategy enters a short position when:
1. The closing price crosses above the **near upper band** of the Nadaraya-Watson Envelope, suggesting a potential overbought condition.
2. The SMI crosses below its EMA, indicating negative momentum.
3. The SMI value is above 50, further supporting the overbought idea on the higher timeframe.
Trades are closed when the price crosses the **far band** in the opposite direction of the trade. A stop-loss is also implemented based on a fixed value.
**In essence:** The Nadaraya-Watson Envelope identifies areas where the price might be deviating significantly from its estimated trend. The SMI, calculated on a higher timeframe, then acts as a confirmation signal, suggesting that the momentum is shifting in the direction of a potential reversal. The ATR-based bands provide dynamic entry and exit points based on the current volatility.
**How to Use the Script:**
1. **Apply the script to your chart.**
2. **Adjust the "Kernel Settings":**
* **Lookback Window (h):** Experiment with different values to find the smoothness that best suits the asset and timeframe you are trading. Lower values make the envelope more reactive, while higher values make it smoother.
* **Relative Weighting (alpha):** Adjust to control the influence of different timeframes on the Nadaraya-Watson estimation.
* **Start Regression at Bar (x\_0):** Increase this value if you want to exclude the initial, potentially volatile, bars from the calculation.
* **Stoploss:** Set your desired stop-loss value.
3. **Adjust the "SMI" settings:**
* **%K Length, %D Length, EMA Length:** These parameters control the sensitivity and smoothness of the SMI. Experiment to find settings that work well for your trading style.
* **Timeframe:** Select the higher timeframe you want to use for SMI confirmation.
4. **Adjust the "ATR Length" and "Near/Far ATR Factor":** These settings control the width and sensitivity of the envelope bands. Smaller ATR lengths make the bands more reactive to recent volatility.
5. **Customize the "Color Settings"** to your preference.
6. **Observe the plots:**
* The **Nadaraya-Watson Estimation (yhat)** line represents the estimated underlying trend.
* The **near and far upper and lower bands** visualize potential overbought and oversold zones based on the ATR.
* The **fill areas** highlight the regions between the near and far bands.
7. **Look for entry signals:** A long entry is considered when the price touches or crosses below the lower near band and the SMI confirms upward momentum. A short entry is considered when the price touches or crosses above the upper near band and the SMI confirms downward momentum.
8. **Manage your trades:** The script provides exit signals when the price crosses the far band. The fixed stop-loss will also close trades if the price moves against your position.
**Justification for Combining Nadaraya-Watson Envelope and SMI:**
The combination of the Nadaraya-Watson Envelope and the SMI provides a more robust approach to identifying potential trend reversals compared to using either indicator in isolation. The Nadaraya-Watson Envelope excels at identifying potential areas where the price is overextended relative to its recent history. However, relying solely on the envelope can lead to false signals, especially in choppy or volatile markets. By incorporating the SMI as a confirmation tool, we add a momentum filter that helps to validate the potential reversals signaled by the envelope. The higher timeframe SMI further helps to filter out noise and focus on more significant shifts in momentum. The ATR-based bands add a dynamic element to the entry and exit points, adapting to the current market volatility. This mashup aims to leverage the strengths of each indicator to create a more reliable trading strategy.
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 ...
∞
Options Series - Technical Analysis Chart➤ Simple Technical Chart Only:
➤ With MA-20 Overlay and Volatility background bars:
➤ With RSI Candles:
⭐ Overview and How It Works:
This script provides a multi-asset analysis tool to assess various market conditions across four symbols simultaneously. It combines several indicators such as daily price change, Moving Averages (MA), Bollinger Bands (BB), Parabolic SAR, RSI, and VWAP to generate buy/sell signals and trend indicators. Its strength lies in the layered use of indicators to enhance signal reliability, making it valuable for traders needing cross-validation in decision-making.
⭐ Key Features and Functionality:
The script evaluates each symbol's price against various indicators and conditions:
Daily Price Conditions: It checks if each symbol’s close price is above or below the previous day’s open, close, and intra-day ranges, forming a foundational bullish/bearish condition.
Range Breakout 1st 5min Candle (ORB): Opening Range Breakout levels are calculated and compared with current close prices, detecting breakout/breakdown conditions.
ORB Body: This basically calculates the previous day Daily candle body size, if todays Daily candle body size is greater than previous day, then we can say that we are having good momentum else its likely to be in-sidebar trading.
Moving Averages (MA): It leverages EMA-20, 2-day, and 3-day exponential moving averages to gauge short to medium-term trends.
RSI and VWAP: Relative Strength Index (RSI) determines overbought or oversold conditions, while VWAP compares prices to volume-weighted levels.
Bollinger Bands and Trend Analysis: Detects volatility and potential breakout conditions.
Concept of ORB Body:
Current_PrevDay_Body = (math.max(var_Current_PrevD_Open, var_Current_PrevD_Close) - math.min(var_Current_PrevD_Open, var_Current_PrevD_Close))
Current_Upper_ORB = var_Current_D_Open + Current_PrevDay_Body
Current_Lower_ORB = var_Current_D_Open - Current_PrevDay_Body
Current_TodayDay_Body = math.max(var_Current_D_Open, var_Current_Close) - math.min(var_Current_D_Open, var_Current_Close)
Current_ORBBody = Current_TodayDay_Body > Current_PrevDay_Body
Current_Upper_ORB_bull = (var_Current_Close > Current_Upper_ORB)
Current_Lower_ORB_bear = (var_Current_Close < Current_Lower_ORB)
🎨 Visualizations and User Experience:
The script can dynamically display colored backgrounds indicating trends when conditions are met. For example, the bgcolor function changes the background when certain trend-based criteria are satisfied, offering visual cues to users. Additionally, the checkbox input toggles trend bar visualizations, enhancing user experience by providing a quick visual reference without needing to interpret individual data points manually.
RSI-Based Candle Coloring:
➤ The script customizes candle colors based on RSI thresholds, specifically defining upper (60) and lower (40) RSI levels. When the RSI value exceeds the upper threshold, candles are colored as bullish (green), and if it falls below the lower threshold, candles are colored as bearish (red). Neutral RSI values result in a default color (gray).
➤ This setup offers a visually intuitive way to identify potential trend directions based on RSI levels, making it ideal for traders looking to gauge momentum visually.
⭐ Settings and Customization:
With multiple user-configurable inputs, the script allows for tailored analysis. Customizable parameters, such as enabling/disabling trend bars and setting various look-back periods for indicators like Bollinger Bands and Moving Averages, make it adaptable to various trading styles and preferences. It also allows users to modify visual elements like colors and styles, improving flexibility.
⭐ Uniqueness of the Concept:
The unique aspect of this script is its multi-symbol approach combined with complex conditions. By comparing not only one but four symbols simultaneously, it provides a broader market view and allows traders to correlate signals across different assets, offering a potential edge for diversified or comparative strategies. Additionally, the incorporation of ORB and multi-timeframe MAs gives it a robustness often lacking in simpler single-symbol scripts.
🚀 Conclusion:
This script is a powerful multi-indicator tool suited for traders looking for a comparative, multi-symbol analysis. With features like ORB, Bollinger Band-based trend detection, and MA cross-verification, it can assist traders in identifying and validating trend signals across assets. The user-friendly visualizations and customizable settings further enhance its usability, making it versatile for various trading strategies and preferences.
European and American Trading Sessions (Blue)The European and American trading sessions, in particular, are known for their volatility and volume, making them key periods for traders to watch.
This Pine Script indicator, "European and American Trading Sessions," helps traders visually distinguish these sessions directly on their charts by shading the background during active hours. We use this indicator in combination with the one that highlights the nighttime phases in white.
Here's a breakdown of how the indicator works:
Key Features of the Script:
Timezone Configuration:
The script allows users to select a timezone from a predefined list that includes UTC, London, Rome, New York, and Tokyo. This flexibility ensures that the session times are accurately displayed regardless of the server or local time of the user.
European Session Parameters:
Users can set the start and end times for the European session. By default, the session runs from 08:00 to 12:00, but the input options make it customizable down to the minute. The European session is highlighted with a light blue background (36% opacity) to avoid overwhelming the chart while still providing a clear visual cue.
American Session Parameters:
Similar to the European session, the American session can be customized. The default times are set from 12:01 to 20:59. This session is highlighted in a slightly darker blue (80% opacity), providing a distinct visual difference from the European session.
Session Timing Calculation:
The script calculates the start and end times for each session based on the selected timezone. It uses the timestamp() function to account for year, month, day, hour, and minute, ensuring that session timings are accurately applied to each day’s trading activity.
Background Highlighting:
Once the session times are defined, the script checks if the current chart time (time) falls within the European or American trading session. If the condition is true, the corresponding background color is applied, visually highlighting the active session directly on the chart. This feature makes it easy to identify when the European or American markets are in play.
Benefits for Traders:
Clear Session Visibility: The color-coded background makes it effortless for traders to identify when key trading sessions are active without needing to constantly check the clock.
Customizable to Your Needs:
With full control over the start and end times for both sessions, traders can adapt the indicator to fit their specific trading hours or preferences.
Timezone Flexibility:
No matter where you're trading from, the ability to set the timezone ensures that the sessions are displayed correctly according to your local time.
Explanation of the Code:
Timezone Selection:
Allows the user to select a timezone from predefined options such as Europe/Rome, America/New_York, etc. This timezone will be used to calculate session start and end times.
Session Timing Inputs:
The script takes user inputs for the start and end times of the European and American trading sessions. These inputs include the hour and minute for both sessions.
Colors:
The color of the European session is set to a blue shade with 36% opacity.
The American session is also colored blue but with a higher opacity of 80%.
Timestamp Calculation:
The timestamp() function converts the input hours and minutes into a time value, accounting for the selected timezone.
Session Conditions:
The script checks if the current time (time) falls within the European or American session. If true, it applies the respective background color for that session. This approach creates clear visual highlights on the chart, marking the active hours of the European and American trading sessions based on user inputs.
Custom 4 Moving Averages with Styles & ThresholdsThis Pine Script indicator is designed to provide traders with a unique method of analyzing price action through four customizable moving averages, alongside buy and sell threshold detection. The script is fully original and adds value by allowing traders to configure and visualize multiple MAs with different smoothing options, and by detecting critical buy/sell moments based on the interaction between price and the moving averages.
What the Script Does:
Custom Moving Averages: The script plots four distinct moving averages (MA1, MA2, MA3, and MA4) on the chart. Each MA can be configured for length, offset, and optional smoothing to match different trading strategies. This flexibility allows traders to tailor the script for various timeframes, trend detection, and market conditions.
Buy (BT) and Sell (ST) Threshold Detection: The indicator identifies critical points for buying and selling:
Buy Threshold (BT): The script identifies potential buy points when the current candle's low is above the MA2 from the previous candle, suggesting potential upward momentum.
Sell Threshold (ST): It detects potential sell points when the current MA2 falls below the previous candle’s low, indicating possible downward momentum. These thresholds are clearly marked on the chart with green arrows for BT (Buy) and red arrows for ST (Sell).
Horizontal Threshold Lines: Horizontal lines are drawn when BT or ST conditions are met. These lines help traders visualize support and resistance levels, providing clarity in decision-making. The length of these lines is customizable, allowing users to control how long they remain visible on the chart.
Dynamic Cleanup of Old Lines: To keep the chart clean and reduce clutter, the script automatically removes old BT and ST lines after a set period, ensuring that traders can focus on the most relevant data.
Underlying Concepts:
Moving Averages: Moving averages are a fundamental tool in technical analysis for identifying trends. This script uses various moving averages (calculated from high, low, close, and HL2) and allows for smoothing to adjust the sensitivity to price movements. Traders can apply this flexibility to multiple trading styles, from scalping to swing trading.
Threshold Conditions: The buy and sell conditions in this script are based on simple but effective price action patterns, where the interaction between price and MA2 determines entry or exit points. This approach is useful in trend-following strategies, where traders aim to capitalize on momentum shifts.
How to Use the Script:
Configure Moving Averages: Start by adjusting the lengths, offsets, and smoothing options for each moving average. For short-term trading, shorter MA lengths might be more suitable, while longer MAs can help identify broader trends.
Observe Buy and Sell Signals: Look for green arrows (BT) as potential buy signals and red arrows (ST) as potential sell signals. These signals appear when certain conditions between price and MA2 are met, giving traders clear visual cues for entries and exits.
Support/Resistance Levels: Pay attention to the horizontal lines drawn when BT or ST conditions occur. These lines can act as support or resistance levels, helping you identify potential price targets or stop-loss points.
Why This Script is Useful:
This indicator combines the power of multiple moving averages with customizable features, making it versatile for different market conditions. By adding clear buy and sell signals based on a logical threshold system, the script helps traders make informed decisions with minimal guesswork. Unlike many basic indicators, this one provides flexibility and original insight into market dynamics, making it a valuable tool for both beginner and experienced traders.
ATR Bands with ATR Cross + InfoTableOverview
This Pine Script™ indicator is designed to enhance traders' ability to analyze market volatility, trend direction, and position sizing directly on their TradingView charts. By plotting Average True Range (ATR) bands anchored at the OHLC4 price, displaying crossover labels, and providing a comprehensive information table, this tool offers a multifaceted approach to technical analysis.
Key Features:
ATR Bands Anchored at OHLC4: Visual representation of short-term and long-term volatility bands centered around the average price.
OHLC4 Dotted Line: A dotted line representing the average of Open, High, Low, and Close prices.
ATR Cross Labels: Visual cues indicating when short-term volatility exceeds long-term volatility and vice versa.
Information Table: Displays real-time data on market volatility, calculated position size based on risk parameters, and trend direction relative to the 20-period Smoothed Moving Average (SMMA).
Purpose
The primary purpose of this indicator is to:
Assess Market Volatility: By comparing short-term and long-term ATR values, traders can gauge the current volatility environment.
Determine Optimal Position Sizing: A calculated position size based on user-defined risk parameters helps in effective risk management.
Identify Trend Direction: Comparing the current price to the 20-period SMMA assists in determining the prevailing market trend.
Enhance Decision-Making: Visual cues and real-time data enable traders to make informed trading decisions with greater confidence.
How It Works
1. ATR Bands Anchored at OHLC4
Average True Range (ATR) Calculations
Short-Term ATR (SA): Calculated over a 9-period using ta.atr(9).
Long-Term ATR (LA): Calculated over a 21-period using ta.atr(21).
Plotting the Bands
OHLC4 Dotted Line: Plotted using small circles to simulate a dotted line due to Pine Script limitations.
ATR(9) Bands: Plotted in blue with semi-transparent shading.
ATR(21) Bands: Plotted in orange with semi-transparent shading.
Overlap: Bands can overlap, providing visual insights into changes in volatility.
2. ATR Cross Labels
Crossover Detection:
SA > LA: Indicates increasing short-term volatility.
Detected using ta.crossover(SA, LA).
A green upward label "SA>LA" is plotted below the bar.
SA < LA: Indicates decreasing short-term volatility.
Detected using ta.crossunder(SA, LA).
A red downward label "SA LA, then the market is considered volatile.
Display: Shows "Yes" or "No" based on the comparison.
b. Position Size Calculation
Risk Total Amount: User-defined input representing the total capital at risk.
Risk per 1 Stock: User-defined input representing the risk associated with one unit of the asset.
Purpose: Helps traders determine the appropriate position size based on their risk tolerance and current market volatility.
c. Is Price > 20 SMMA?
SMMA Calculation:
Calculated using a 20-period Smoothed Moving Average with ta.rma(close, 20).
Logic: If the current close price is above the SMMA, the trend is considered upward.
Display: Shows "Yes" or "No" based on the comparison.
How to Use
Step 1: Add the Indicator to Your Chart
Copy the Script: Copy the entire Pine Script code into the TradingView Pine Editor.
Save and Apply: Save the script and click "Add to Chart."
Step 2: Configure Inputs
Risk Parameters: Adjust the "Risk Total Amount" and "Risk per 1 Stock" in the indicator settings to match your personal risk management strategy.
Step 3: Interpret the Visuals
ATR Bands
Width of Bands: Wider bands indicate higher volatility; narrower bands indicate lower volatility.
Band Overlap: Pay attention to areas where the blue and orange bands diverge or converge.
OHLC4 Dotted Line
Serves as a central reference point for the ATR bands.
Helps visualize the average price around which volatility is measured.
ATR Cross Labels
"SA>LA" Label:
Indicates short-term volatility is increasing relative to long-term volatility.
May signal potential breakout or trend acceleration.
"SA 20 SMMA?
Use this to confirm trend direction before entering or exiting trades.
Practical Example
Imagine you are analyzing a stock and notice the following:
ATR(9) Crosses Above ATR(21):
A green "SA>LA" label appears.
The info table shows "Yes" for "Is ATR-based price volatile."
Position Size:
Based on your risk parameters, the position size is calculated.
Price Above 20 SMMA:
The info table shows "Yes" for "Is price > 20 SMMA."
Interpretation:
The market is experiencing increasing short-term volatility.
The trend is upward, as the price is above the 20 SMMA.
You may consider entering a long position, using the calculated position size to manage risk.
Customization
Colors and Transparency:
Adjust the colors of the bands and labels to suit your preferences.
Risk Parameters:
Modify the default values for risk amounts in the inputs.
Moving Average Period:
Change the SMMA period if desired.
Limitations and Considerations
Lagging Indicators: ATR and SMMA are lagging indicators and may not predict future price movements.
Market Conditions: The effectiveness of this indicator may vary across different assets and market conditions.
Risk of Overfitting: Relying solely on this indicator without considering other factors may lead to suboptimal trading decisions.
Conclusion
This indicator combines essential elements of technical analysis to provide a comprehensive tool for traders. By visualizing ATR bands anchored at the OHLC4, indicating volatility crossovers, and providing real-time data on position sizing and trend direction, it aids in making informed trading decisions.
Whether you're a novice trader looking to understand market volatility or an experienced trader seeking to refine your strategy, this indicator offers valuable insights directly on your TradingView charts.
Code Summary
The script is written in Pine Script™ version 5 and includes:
Calculations for OHLC4, ATRs, Bands, SMMA:
Uses built-in functions like ta.atr() and ta.rma() for calculations.
Plotting Functions:
plotshape() for the OHLC4 dotted line.
plot() and fill() for the ATR bands.
Crossover Detection:
ta.crossover() and ta.crossunder() for detecting ATR crosses.
Labeling Crossovers:
label.new() to place informative labels on the chart.
Information Table Creation:
table.new() to create the table.
table.cell() to populate it with data.
Acknowledgments
ATR and SMMA Concepts: Built upon standard technical analysis concepts widely used in trading.
Pine Script™: Leveraged the capabilities of Pine Script™ version 5 for advanced charting and analysis.
Note: Always test any indicator thoroughly and consider combining it with other forms of analysis before making trading decisions. Trading involves risk, and past performance is not indicative of future results.
Happy Trading!
Precision Cloud by Dr ABIRAM SIVPRASAD
Precision Cloud by Dr. Abhiram Sivprasad"
The " Precision Cloud" script, created by Dr. Abhiram Sivprasad, is a multi-purpose technical analysis tool designed for Forex, Bitcoin, Commodities, Stocks, and Options trading. It focuses on identifying key levels of support and resistance, combined with moving averages (EMAs) and central pivot ranges (CPR), to help traders make informed trading decisions. The script also provides a visual "light system" to highlight potential long or short positions, aiding traders in entering trades with a clear strategy.
Key Features of the Script:
Central Pivot Range (CPR):
The CPR is calculated as the average of the high, low, and close of the price, while the top and bottom pivots are derived from it. These act as dynamic support and resistance zones.
The script can plot daily CPR, support, and resistance levels (S1/R1, S2/R2, S3/R3) as well as optional weekly and monthly pivot points.
The CPR helps identify whether the price is in a bullish, bearish, or neutral zone.
Support and Resistance Levels:
Three daily support (S1, S2, S3) and resistance (R1, R2, R3) levels are plotted based on the CPR.
These levels act as potential reversal or breakout points, allowing traders to make decisions around key price points.
EMA (Exponential Moving Averages):
The script includes two customizable EMAs (default periods of 9 and 21). You can choose the source for these EMAs (open, high, low, or close).
The crossovers between EMA1 and EMA2 help identify potential trend reversals or momentum shifts.
Lagging Span:
The Lagging Span is plotted with a customizable displacement (default 26), which helps identify overall trend direction by comparing past price with the current price.
Light System:
A color-coded table provides a visual representation of market conditions:
Green indicates bullish signals (e.g., price above CPR, EMAs aligning positively).
Red indicates bearish signals (e.g., price below CPR, EMAs aligning negatively).
Yellow indicates neutral conditions, where there is no clear trend direction.
The system includes lights for CPR, EMA, Long Position, and Short Position, helping traders quickly assess whether the market is in a buying or selling opportunity.
Trading Strategies Using the Script
1. Forex Trading:
Trend-Following with EMAs: Use the EMA crossovers to capture trending markets in Forex. A green light for the EMA combined with a price above the daily or weekly pivot levels suggests a buying opportunity. Conversely, if the EMA light turns red and price falls below the CPR levels, look for shorting opportunities.
Reversal Strategy: Watch for price action near the daily S1/R1 levels. If price holds above S1 and the EMA is green, this could signal a reversal from support. The same applies to resistance levels.
2. Bitcoin Trading:
Momentum Breakouts: Bitcoin is known for its sharp moves. The script helps to identify breakouts from the CPR range. If the price breaks above the TC (Top Central Pivot) with bullish EMA alignment (green light), it could signal a strong uptrend.
Lagging Span Confirmation: Use the Lagging Span to confirm the trend direction. For Bitcoin's volatility, when the lagging span shows consistent alignment with the price and CPR, it often indicates continuation of the trend.
3. Commodities Trading:
Support/Resistance Bounce: Commodities such as gold and oil often react well to pivot levels. Look for price bouncing off S1 or R1 for potential entry points. A green CPR light along with price above the pivot range supports a bullish bias.
EMA Pullback Strategy: If price moves in a strong trend and pulls back to one of the EMAs, a green EMA light suggests re-entry on a pullback. If the EMA light is red and price breaks below the BC (Bottom Central Pivot), short positions could be considered.
4. Stocks Trading:
Long Position Strategy: For stocks, use the combination of the long position light turning green (price above TC and EMA alignment) as a signal to buy. This could be especially useful for riding bullish trends in growth stocks or during earnings seasons when volatility is high.
Short Position Strategy: If the short position light turns green, indicating price below BC and EMAs turning bearish, this could be an ideal setup for shorting overvalued stocks or during market corrections.
5. Options Trading:
Directional Bias for Options: The light system is particularly helpful for options traders. A green long position light provides a clear signal to buy call options, while a green short position light supports buying puts.
Pivot Breakout Strategy: Buy options (calls or puts) when the price breaks above resistance or below support, with confirmation from the CPR and EMA lights. This helps capture the sharp moves required for profitable options trades.
Conclusion
The S&R Precision Cloud script is a versatile tool for traders across markets, including Forex, Bitcoin, Commodities, Stocks, and Options. It combines critical technical elements like pivot ranges, support and resistance levels, EMAs, and the Lagging Span to provide a clear picture of market conditions. The intuitive light system helps traders quickly assess whether to take a long or short position, making it an excellent tool for both new and experienced traders.
The S&R Precision Cloud by Dr. Abhiram Sivprasad script is a technical analysis tool designed to assist traders in making informed decisions. However, it should not be interpreted as financial or investment advice. The signals generated by the script are based on historical price data and technical indicators, which are inherently subject to market fluctuations and do not guarantee future performance.
Trading in Forex, Bitcoin, Commodities, Stocks, and Options carries a high level of risk and may not be suitable for all investors. You should be aware of the risks involved and be willing to accept them before engaging in such activities. Always conduct your own research and consult with a licensed financial advisor or professional before making any trading decisions.
The creators of this script are not responsible for any financial losses that may occur from its use. Past performance is not indicative of future results, and the use of this script is at your own risk.
Multi-Sector Trend AnalysisThis script, titled "Multi-Sector Trend Analysis: Track Sector Momentum and Trends," is designed to assist traders and investors in monitoring multiple sectors of the stock market simultaneously. It leverages technical analysis by incorporating trend detection and momentum indicators like moving averages and the Relative Strength Index (RSI) to offer insights into the price action of various market sectors.
Core Features:
1. Sector-Based Analysis: The script covers 20 major sectors from the NSE (National Stock Exchange) such as Auto, Banking, Energy, FMCG, IT, Pharma, and others. Users can customize which sectors they wish to analyze using the available input fields.
Technical Indicators: The script uses two core technical indicators to detect trends and momentum:
2. Moving Averages: The script calculates both fast and slow exponential moving averages (EMAs). These are critical for identifying short- and long-term price trends and crossovers, helping detect shifts in momentum.
3. Relative Strength Index (RSI): A well-known momentum indicator that shows whether a stock is overbought or oversold. This script uses a 14-period RSI to gauge the strength of each sector.
4. Trend Detection: The script identifies whether the current market trend is "Up" or "Down" based on the relationship between the fast and slow EMAs (i.e., whether the fast EMA is above or below the slow EMA). It highlights this trend visually in a table format, allowing quick and easy trend recognition.
5. Gain/Loss Tracking: This feature calculates the percentage gain or loss since the last EMA crossover (a key point in trend change), giving users a sense of how much the price has moved since the trend shifted.
6. Customizable Table for Display: The script displays the analyzed data in a table format, where users can view each sector's:
Symbol
Trend (Up or Down)
RSI Value
Gain/Loss Since the Last EMA Crossover
This table is customizable in terms of size and color theme (dark or light), providing flexibility in presentation for different charting styles.
How It Works:
Sector Selection: Users can input up to 20 different sector symbols for analysis.
Moving Averages: Users can define the period lengths for both the fast and slow EMAs to suit their trading strategies.
Table Options: Choose between different table sizes and opt for a dark theme to enhance the visual appearance on charts.
How to Use:
Select the symbols (sectors) that you want to track. The script includes pre-configured symbols for major sectors on the NSE, but you can modify these to suit your needs.
Adjust the fast and slow EMA lengths to your preference. A common setting would be 3 for the fast EMA and 4 for the slow EMA, but more conservative traders might opt for higher values.
Customize the table size and theme based on your preference, whether you want a compact table or a larger one for easier readability.
Why Use This Script:
This script is ideal for traders looking to:
Monitor multiple market sectors simultaneously.
Identify key trends across sectors quickly.
Understand momentum and detect potential reversals through RSI and EMA crossovers.
Stay informed on sector performance using a clear visual table that tracks gains or losses.
By using this script, traders can gain better insights into sector-based trading strategies, improve their sector rotation tactics, and stay informed about the broader market environment. It provides a powerful yet easy-to-use tool for both beginner and advanced traders.
[TR] Engulf Patterns by SM
Engulf Pattern by SM
Overview:
The " Engulf Pattern by SM" script is designed to identify bullish and bearish engulfing candlestick patterns on TradingView charts. Engulfing patterns are significant in technical analysis as they often indicate potential reversals in market trends.
Features:
- Bullish Engulfing Pattern Detection: The script identifies bullish engulfing patterns, which occur when a larger bullish candle completely engulfs the body of the previous smaller bearish candle.
- Bearish Engulfing Pattern Detection: Similarly, it detects bearish engulfing patterns, where a larger bearish candle engulfs the body of the preceding smaller bullish candle.
- Body Size Filtering: The script includes a feature to filter patterns based on the size of the candle bodies, allowing for more precise marking of significant patterns.
- Visual Markers: The script plots visual markers on the chart to highlight the detected engulfing patterns, making it easy for traders to spot them.
How It Works:
1. Bullish Engulfing Pattern:
- The script checks for a smaller bearish candle followed by a larger bullish candle.
- The body of the bullish candle must completely cover the body of the bearish candle.
- The size of the bullish candle's body must meet a specified threshold to be considered significant.
2. Bearish Engulfing Pattern:
- The script looks for a smaller bullish candle followed by a larger bearish candle.
- The body of the bearish candle must completely engulf the body of the bullish candle.
- The size of the bearish candle's body must meet a specified threshold to be considered significant.
Usage:
- Add the Script: Apply the " Engulf Pattern by SM" script to your TradingView chart.
- Configure Settings: Customize the script settings to suit your trading strategy, including visual marker styles and body size thresholds.
- Monitor Visual Markers: Keep an eye on the visual markers to identify potential trading opportunities based on engulfing patterns.
Disclaimer:
This script is not intended to be used as a direct entry signal. It should be used as a confluence in your overall trading plan. Always conduct your own analysis and consider multiple factors before making any trading decisions.
Feel free to customize this writeup further to match your specific needs! If you have any other requests or need additional details, just let me know.
ET's FlagsPurpose:
This Pine Script is designed for the TradingView platform to identify and visually highlight specific technical chart patterns known as "Bull Flags" and "Bear Flags" on financial charts. These patterns are significant in trading as they can indicate potential continuation trends after a brief consolidation. The script includes mechanisms to manage signal frequency through a cooldown period, ensuring that the trading signals are not excessively frequent and are easier to interpret.
Functionality:
Input Parameters:
flagpole_length: Defines the number of bars to consider when identifying the initial surge in price, known as the flagpole.
flag_length: Determines the number of bars over which the flag itself is identified, representing a period of consolidation.
percent_change: Sets the minimum percentage change required to validate the presence of a flagpole.
cooldown_period: Specifies the number of bars to wait before another flag can be identified, reducing the risk of overlapping signals.
Percentage Change Calculation:
The script calculates the percentage change between two price points using a helper function percentChange(start, end). This function is crucial for determining whether the price movement within the specified flagpole_length meets the threshold set by percent_change, thus qualifying as a potential flagpole.
Flagpole Identification:
Bull Flagpole: Identified by finding the lowest close price over the flagpole_length and determining if the subsequent price rise meets or exceeds the specified percent_change.
Bear Flagpole: Identified by finding the highest close price over the flagpole_length and checking if the subsequent price drop is sufficient as per the percent_change.
Flag Identification:
After identifying a flagpole, the script assesses if the price action within the next flag_length bars consolidates in a manner that fits a flag pattern. This involves checking if the price fluctuation stays within the bounds set by the percent_change.
Signal Plotting:
If a bull or bear flag pattern is confirmed, and the cooldown period has passed since the last flag of the same type was identified, the script plots a visual shape on the chart:
Green shapes below the price bar for Bull Flags.
Red shapes above the price bar for Bear Flags.
Line Drawing:
For enhanced visualization, the script draws lines at the high and low prices of the flag during its formation period. This visually represents the consolidation phase of the flag pattern.
Debugging Labels:
The script optionally displays labels at the flag formation points, showing the exact percentage change achieved during the flagpole formation. This feature aids users in understanding why a particular segment of the price chart was identified as a flag.
Compliance and Usage:
This script does not automate trading but provides visual aids and potential signals based on historical price analysis. It adheres to TradingView's scripting policies by only accessing publicly available price data and user-defined parameters without executing trades or accessing any external data.
Conclusion:
This Pine Script is a powerful tool for traders who follow technical analysis, offering a clear, automated way to spot potential continuation patterns in the markets they monitor. By emphasizing visual clarity and reducing signal redundancy through cooldown periods, the script enhances decision-making processes for chart analysis on TradingView.
ATR5 Gerchik&CoThis script is designed to calculate and display the Average True Range (ATR) based on the last 5 bars on a daily (D1) chart. The ATR is a key indicator used to measure market volatility by decomposing the entire range of an asset price for that period. Additionally, the script provides a visual representation of the percentage of the current day's range relative to the calculated ATR.
How It Works
Calculation of ATR:
The script calculates the ATR by taking the high and low of each of the last 5 daily bars, computing the range for each bar, and then averaging these values.
The ATR value is then dynamically formatted based on the decimal places relevant to the asset's tick size.
Percentage of Current Day's Range:
The script also calculates the percentage of the current day's range compared to the ATR. This helps traders quickly assess how much of the average range has been covered today.
Visual Display:
The ATR value and the percentage of the current day's range are displayed in the top-right corner of the chart for easy reference.
Usage
Identifying Volatility: The ATR is a widely used indicator to identify periods of high and low volatility in the market. Traders can use this to adjust their strategies accordingly, such as widening or tightening stop-loss levels.
Entry and Exit Points: Knowing the ATR can help traders decide on optimal entry and exit points based on expected market movements.
Risk Management: By understanding the market volatility, traders can better manage their risk by adjusting position sizes and stop-loss levels.
Example
The script shows the ATR calculated over the last 5 days, formatted to match the asset's decimal places.
It also displays the current day's range as a percentage of the ATR, providing immediate insight into the day's volatility relative to the recent average.
How to Use
Apply the Script: Add the script to your TradingView chart.
Analyze the Display: Observe the ATR value and the percentage of the current day's range displayed in the top-right corner.
Make Informed Decisions: Use the information to make informed trading decisions based on the volatility and range of the asset.
Code Explanation
The script uses Pine Script v5 and includes functions to calculate the range of bars, average these ranges, and format the output appropriately. The ATR value and percentage are displayed using the table functionality to ensure clear and precise placement on the chart.
This description should provide users with a clear understanding of what the script does, how it can be used, and the concepts behind its calculations. Let me know if you need any further adjustments or additional details!
Psychological Levels [UkutaLabs]█ OVERVIEW
The Psychological Levels Indicator provides real-time insight into key price levels within the market that can serve as powerful support and resistance levels. These levels are updated automatically in real time to display only the most relevant levels to the current price, facilitating your trading experience.
The aim of this script is to simplify the trading experience of users by automatically identifying and displaying price levels that they should be aware of.
█ USAGE
On each tick, the nearest key price level is automatically identified by the script. The script will identify this level based on the price of the commodity you are applying it to:
• Commodities priced at $0 to $999.99 will identify the nearest whole dollar.
• Commodities priced at $1,000 to $9,999.99 will identify the nearest $10.
• Commodities priced at $10,000 to $99,999.99 will identify the nearest $100.
• Commodities priced over $100,000 will identify the nearest $1,000.
We refer to this rounding price as the gap price, and it is also used to determine the prices of the other lines drawn by this script.
After identifying the nearest key price level, the script then incrementally draws lines on either side of this level at an interval of the gap price. We refer to these as the Major Lines, and the user can control the number of these lines that get drawn, the style of these lines, and they can be disabled in the settings.
The script then draws lines at the half-way point between each of these Major Lines, and we refer to these as the Minor Lines. Like the Major Lines, the user has full control over the number of these lines that can be drawn, the style of these lines, and they can be disabled in the settings.
█ SETTINGS
Configuration
• Number of Lines: Determines the number of lines that are drawn on either side of the key price line. This controls both the number of Major Lines and Minor Lines.
Line Settings
• Major Lines: Determines whether or not the Major Lines will be displayed.
- Color: Determines the color of Major Lines.
- Style: Determines the style of Major Lines.
- Width: Determines the width of Major Lines
• Minor Lines: Determines whether or not the Minor Lines will be displayed.
- Color: Determines the color of Minor Lines
- Style: Determines the style of Minor Lines
- Width: Determines the width of Minor Lines
Century Levels [UkutaLabs]█ OVERVIEW
The Century Levels Indicator provides real-time insight into key price levels within the market that can serve as powerful support and resistance levels. These levels are updated automatically in real time to display only the most relevant levels to the current price, facilitating your trading experience.
The aim of this script is to simplify the trading experience of users by automatically identifying and displaying price levels that they should be aware of.
█ USAGE
On each tick, the nearest key price level is automatically identified by the script. The script will identify this level based on the price of the commodity you are applying it to:
• Commodities priced at $0 to $999.99 will identify the nearest whole dollar.
• Commodities priced at $1'000 to $9'999.99 will identify the nearest $10.
• Commodities priced at $10'000 to $99'999.99 will identify the nearest $100.
• Commodities priced over $1'000'000 will identify the nearest $1000.
We refer to this rounding price as the gap price, and it is also used to determine the prices of the other lines drawn by this script.
After identifying the nearest key price level, the script then incrementally draws lines on either side of this level at an interval of the gap price. We refer to these as the Major Lines, and the user can control the number of these lines that get drawn, the style of these lines, and they can be disabled in the settings.
The script then draws lines at the half-way point between each of these Major Lines, and we refer to these as the Minor Lines. Like the Major Lines, the user has full control over the number of these lines that can be drawn, the style of these lines, and they can be disabled in the settings.
█ SETTINGS
Configuration
• Number of Lines: Determines the number of lines that are drawn on either side of the key price line. This controls both the number of Major Lines and Minor Lines.
Line Settings
• Major Lines: Determines whether or not the Major Lines will be displayed.
- Color: Determines the color of Major Lines.
- Style: Determines the style of Major Lines.
- Width: Determines the width of Major Lines
• Minor Lines: Determines whether or not the Minor Lines will be displayed.
- Color: Determines the color of Minor Lines
- Style: Determines the style of Minor Lines
- Width: Determines the width of Minor Lines
TSF 20What kind of traders/investors are we?
We are trend followers. We look for assets that are outperforming the market. Our scripts are designed to be used on the higher timeframes (weekly/daily) to catch the large moves/trends in the market.
Our scripts have been designed to help you follow the trend in an asset.
What does this script do?
This script is designed to colour candles on a chart based on their position relative to two sets of Bollinger Bands. Here's a breakdown of how it functions:
Bollinger Bands Setup:
The script uses two sets of Bollinger Bands, both with a length of 20 and based on the closing prices of candles.
The first set of Bollinger Bands uses a standard deviation (StdDev) of 1.
The second set uses a standard deviation of 2.
Neither set of bands is displayed on the chart.
Coloring Candles:
Green Candle: A candle is coloured green if its close is above the upper Bollinger Band with StdDev 1 but below the upper Bollinger Band with StdDev 2. This indicates a moderately bullish sentiment.
Dark Green Candle: A candle is colored dark green when its close is above the upper Bollinger Band with StdDev 2. This implies a stronger bullish sentiment.
Red Candle: A candle is coloured red if its close is below the lower Bollinger Band with StdDev 1 but above the lower Bollinger Band with StdDev 2. This indicates a moderately bearish sentiment.
Dark Red Candle: A candle is colored dark red if its close is below the lower Bollinger Band with StdDev 2, indicating a stronger bearish sentiment.
Grey Candle: A candle is coloured grey if it closes between the upper and lower Bollinger Bands with StdDev 1. This usually signifies a neutral market condition or periods of consolidation.
In summary, this script is an analytical tool that visually represents the market's bullishness or bearishness relative to the Bollinger Bands, without displaying the bands themselves. It's designed to help investors quickly assess market conditions and sentiment based on the colour-coded representation of price action in relation to these volatility bands.
What makes this script unique?
Innovative Color-Coding System: Candles are colored in varying shades of green and red, providing an immediate visual cue about the market's bullish or bearish tendencies. A neutral grey is also used, offering a quick assessment of market indecision or consolidation phases.
Dual Bollinger Band Analysis: Utilizes two sets of Bollinger Bands (StdDev 1 and StdDev 2) to gauge market volatility and sentiment. This dual-band approach enhances the precision of sentiment analysis compared to using a single standard deviation.
Customizable and Non-Obtrusive: Designed to keep your charts clean and readable. The Bollinger Bands themselves are not displayed, reducing visual clutter and allowing for a focus on price action.
Versatile and Adaptable: Suitable for various trading styles and timeframes. Whether you are a short-term or long-term investor, this indicator can be seamlessly integrated into your analysis toolkit.
Valuable Addition to Market Analysis: Enhances traditional candlestick analysis and complements other technical indicators and strategies. It offers an additional layer of understanding market dynamics and can be used to confirm or question other signals.
How It Adds Value:
Enhanced Visual Analysis: By colour-coding candles based on Bollinger Band positioning, it simplifies the interpretation of market sentiment and volatility, making it easier to spot trends and reversals.
Strategic Decision Making: Helps traders make more informed decisions by clearly highlighting bullish and bearish strength, or lack thereof, in the market.
Time Efficiency: Reduces the time spent analyzing charts by providing an immediate visual representation of market conditions.
Originality: Offers a fresh perspective and an innovative approach to using Bollinger Bands, making it a unique addition to the community's toolbox.
Day/Week/Month Metrics (Zeiierman)█ Overview
The Day/Week/Month Metrics (Zeiierman) indicator is a powerful tool for traders looking to incorporate historical performance into their trading strategy. It computes statistical metrics related to the performance of a trading instrument on different time scales: daily, weekly, and monthly. Breaking down the performance into daily, weekly, and monthly metrics provides a granular view of the instrument's behavior.
The indicator requires the chart to be set on a daily timeframe.
█ Key Statistics
⚪ Day in month
The performance of financial markets can show variability across different days within a month. This phenomenon, often referred to as the "monthly effect" or "turn-of-the-month effect," suggests that certain days of the month, especially the first and last days, tend to exhibit higher than average returns in many stock markets around the world. This effect is attributed to various factors including payroll contributions, investment of monthly dividends, and psychological factors among traders and investors.
⚪ Edge
The Edge calculation identifies days within a month that consistently outperform the average monthly trading performance. It provides a statistical advantage by quantifying how often trading on these specific days yields better returns than the overall monthly average. This insight helps traders understand not just when returns might be higher, but also how reliable these patterns are over time. By focusing on days with a higher "Edge," traders can potentially increase their chances of success by aligning their strategies with historically more profitable days.
⚪ Month
Historically, the stock market has exhibited seasonal trends, with certain months showing distinct patterns of performance. One of the most well-documented patterns is the "Sell in May and go away" phenomenon, suggesting that the period from November to April has historically brought significantly stronger gains in many major stock indices compared to the period from May to October. This pattern highlights the potential impact of seasonal investor sentiment and activities on market performance.
⚪ Day in week
Various studies have identified the "day-of-the-week effect," where certain days of the week, particularly Monday and Friday, show different average returns compared to other weekdays. Historically, Mondays have been associated with lower or negative average returns in many markets, a phenomenon often linked to the settlement of trades from the previous week and negative news accumulation over the weekend. Fridays, on the other hand, might exhibit positive bias as investors adjust positions ahead of the weekend.
⚪ Week in month
The performance of markets can also vary within different weeks of the month, with some studies suggesting a "week of the month effect." Typically, the first and the last week of the month may show stronger performance compared to the middle weeks. This pattern can be influenced by factors such as the timing of economic reports, monthly investment flows, and options and futures expiration dates which tend to cluster around these periods, affecting investor behavior and market liquidity.
█ How It Works
⚪ Day in Month
For each day of the month (1-31), the script calculates the average percentage change between the opening and closing prices of a trading instrument. This metric helps identify which days have historically been more volatile or profitable.
It uses arrays to store the sum of percentage changes for each day and the total occurrences of each day to calculate the average percentage change.
⚪ Month
The script calculates the overall gain for each month (January-December) by comparing the closing price at the start of a month to the closing price at the end, expressed as a percentage. This metric offers insights into which months might offer better trading opportunities based on historical performance.
Monthly gains are tracked using arrays that store the sum of these gains for each month and the count of occurrences to calculate the average monthly gain.
⚪ Day in Week
Similar to the day in the month analysis, the script evaluates the average percentage change between the opening and closing prices for each day of the week (Monday-Sunday). This information can be used to assess which days of the week are typically more favorable for trading.
The script uses arrays to accumulate percentage changes and occurrences for each weekday, allowing for the calculation of average changes per day of the week.
⚪ Week in Month
The script assesses the performance of each week within a month, identifying the gain from the start to the end of each week, expressed as a percentage. This can help traders understand which weeks within a month may have historically presented better trading conditions.
It employs arrays to track the weekly gains and the number of weeks, using a counter to identify which week of the month it is (1-4), allowing for the calculation of average weekly gains.
█ How to Use
Traders can use this indicator to identify patterns or trends in the instrument's performance. For example, if a particular day of the week consistently shows a higher percentage of bullish closes, a trader might consider this in their strategy. Similarly, if certain months show stronger performance historically, this information could influence trading decisions.
Identifying High-Performance Days and Periods
Day in Month & Day in Week Analysis: By examining the average percentage change for each day of the month and week, traders can identify specific days that historically have shown higher volatility or profitability. This allows for targeted trading strategies, focusing on these high-performance days to maximize potential gains.
Month Analysis: Understanding which months have historically provided better returns enables traders to adjust their trading intensity or capital allocation in anticipation of seasonally stronger or weaker periods.
Week in Month Analysis: Identifying which weeks within a month have historically been more profitable can help traders plan their trades around these periods, potentially increasing their chances of success.
█ Settings
Enable or disable the types of statistics you want to display in the table.
Table Size: Users can select the size of the table displayed on the chart, ranging from "Tiny" to "Auto," which adjusts based on screen size.
Table Position: Users can choose the location of the table on the chart
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Table to filter trades per dayThis script contains a block of code that allows users to filter the total number of trades, loss trades, win trades and win rate per day in a table. This makes it easier to compare which days were profitable and which were not.
Be aware that this script can only be used in strategy scripts. To use the script, open it and copy every line from "START" to "STOP". Then, paste these lines at the very bottom of the strategy script that you want to attach it to.
The user has the ability to adjust the position of the table and customize the size of the text displayed.
If the user sets "Check when the trade:" to "Opened", the script will monitor when the trade opens and add it to the table once it has been closed. If "Check when the trade:" is set to "Closed", the script will track when the trade is closed and add it to the table once it has been closed.
It is recommended to run the script on the "Exchange" setting for more accurate results, even though a "Set the timezone" option is available. This will prevent discrepancies caused by daylight saving time changes.
Please note that the code will only work properly if you choose a daily timeframe or lower.
IU Support and Resistance How this script works :
1. This script is an indicator script which calculates the support and resistance based on pivot high and pivot low and plot them as zone onto the chart.
2. The first user input is minimum number of touches which indicates how many time pivot high or pivot low should be tested in order to be a valid support or resistance level.
3.The second user input "Set Buffer" check if the user wants to use a custom buffer or not if it's unchanged then the default is 50% of the 1000 period ATR value .
4. If "Set Buffer" is checked meaning if it's set to true then only the third user input will be execute which is the "buffer" which indicates how much price range user wants his zone to have.
5. After the user input part this script create two arrays to store the pivot high and pivot low values every time he have a new value.
6. This script also creates two arrays to store the bar index of the bar where the new pivot high or pivot low is detected those bar index will be later use while creating the support and resistance zones.
7. Then the script creates four more arrays to store the final support and resistance values and their respective bar index which will be use for creating the support and resistance zones.
8. After this the script check that we are at the last bar of our chart if we are then we sort the support and resistance indices by descending order and store them into an new variable after that we sort the support and resistance arrays by descending order, then we loop through the arrays elements and we check if the previous element comes under the zone of the current element if so we increase the "minimum touch" variable by 1, once we have 5 or more count in our variable and we no longer have a valid zone then we store the element value and the sorted index of the element into our final arrays.
9. Finally the script will loop through the final support and resistance arrays and it will create a box for each support and resistance with respect to extending it on both directions.
10.The green zones are the support and the red zones are the resistance.
How user can benifits from this script:
1. User can automatically identify support and resistance zones and he can plan his trade as per that.
2. User can test how different markets reacts with support and resistance zones.
3. User can plan breakout trade on the break of the support or resistance level.
4. User can adjust he stop loss and take profit as per the support and resistance zones.
Linear Reg CandlesThe provided Pine Script is a TradingView script for creating a technical analysis indicator called "Humble LinReg Candles." This script includes features such as linear regression for open, high, low, and close prices, signal smoothing with simple or exponential moving averages, and a trailing stop based on Average True Range (ATR). Additionally, the script contains a screener section to display signals for a list of specified symbols.
Here is a breakdown of the script:
Indicator Settings:
It defines various input parameters such as signal smoothing length, linear regression settings, and options for using simple moving averages.
Linear regression is applied to open, high, low, and close prices based on user-defined settings.
ATR Trailing Stop:
It calculates the Average True Range (ATR) and uses it to determine a trailing stop for buy and sell signals.
Signals are generated based on whether the close price is above or below the ATR trailing stop.
Plotting:
The script plots the calculated signal on the chart using the plot function.
Buy and Sell Conditions:
Buy and sell conditions are defined based on the relationship between the close price and the ATR trailing stop.
Plot shapes and bar colors are used to visually represent buy and sell signals on the chart.
Alerts:
Alerts are triggered when buy or sell conditions are met.
Screener Section:
The script defines a screener section to display a watchlist of symbols with long and short signals.
The watchlist includes a set of predefined symbols with corresponding long and short signals.
Table Theme Settings:
The script allows customization of the table theme, including background color, frame color, and text color.
The size and location of the table on the chart can also be customized.
Screener Function:
A function getSignal is defined to determine long and short signals for each symbol in the watchlist.
The getSym function is used to extract the symbol name from the symbol string.
Dashboard Creation:
The script creates a table (dashboard) to display long and short signals for the symbols in the watchlist.
The table includes headers for "Long Signal" and "Short Signal" and lists the symbols with corresponding signals.
Overall, the script combines technical analysis indicators and a screener to help traders identify potential buy and sell signals for a set of specified symbols.
Kiss Of DeathThis Pine Script code is designed to create a technical indicator on a TradingView chart known as the "Kiss of Death" signal. Here's a description of the script:
The script begins by specifying that it is intended for use with Pine Script version 5 (//@version=5) and sets the indicator's title to "Kiss of Death Signal" with indicator(title="Kiss of Death Signal", overlay=true).
The code calculates a 21-period Exponential Moving Average (EMA) of the closing prices (ema21 = ta.ema(close, 21)). The EMA is a commonly used trend-following indicator.
It also determines the lowest low of the previous two periods (prev_low = ta.lowest(low, 2)). This variable will be used in the signal condition.
The script then defines the signal condition for the "Kiss of Death" pattern. This pattern occurs when:
The current closing price is below the 21-period EMA (close < ema21).
The previous closing price is above or equal to the 21-period EMA (close >= ema21).
The current low is below the lowest low of the previous two periods (low < prev_low).
Next, it uses plot to display the 21-period EMA on the chart (plot(ema21, color=color.blue, title="21 EMA")), using a blue color.
Finally, the script utilizes plotshape to mark the points on the chart where the "Kiss of Death" signal condition is met. It places a red, downward-pointing triangle above the corresponding bars
In summary, this script provides a visual representation of the "Kiss of Death" signal on a TradingView chart, helping traders identify potential bearish reversal points based on the defined conditions. The 21-period EMA is also displayed to provide additional context.
What makes this script unique is that it specifically identifies and visualizes a specific technical pattern known as the "Kiss of Death". The "Kiss of Death" is a bearish reversal pattern that occurs when the current price falls below a specific moving average (in this case, a 21-period Exponential Moving Average or EMA) after previously being above it, and when the current low is below the lowest low of the previous two periods.
This script stands out because it provides a clear and visual representation of this particular pattern on a TradingView chart. By using a red, downward-pointing triangle above the bars, it helps traders quickly identify potential bearish reversal points based on the defined conditions.
The combination of a specific pattern, in this case the "Kiss of Death", along with a visual indicator, sets this script apart and makes it a useful tool for traders looking to identify potential bearish reversal points in their technical analysis.