Delta Volume Columns Pro [LucF]█ OVERVIEW
This indicator displays volume delta information calculated with intrabar inspection on historical bars, and feed updates when running in realtime. It is designed to run in a pane and can display either stacked buy/sell volume columns or a signal line which can be calculated and displayed in many different ways.
Five different models are offered to reveal different characteristics of the calculated volume delta information. Many options are offered to visualize the calculations, giving you much leeway in morphing the indicator's visuals to suit your needs. If you value delta volume information, I hope you will find the time required to master Delta Volume Columns Pro well worth the investment. I am confident that if you combine a proper understanding of the indicator's information with an intimate knowledge of the volume idiosyncrasies on the markets you trade, you can extract useful market intelligence using this tool.
█ WARNINGS
1. The indicator only works on markets where volume information is available,
Please validate that your symbol's feed carries volume information before asking me why the indicator doesn't plot values.
2. When you refresh your chart or re-execute the script on the chart, the indicator will repaint because elapsed realtime bars will then recalculate as historical bars.
3. Because the indicator uses different modes of calculation on historical and realtime bars, it's critical that you understand the differences between them. Details are provided further down.
4. Calculations using intrabar inspection on historical bars can only be done from some chart timeframes. See further down for a list of supported timeframes.
If the chart's timeframe is not supported, no historical volume delta will display.
█ CONCEPTS
Chart bars
Three different types of bars are used in charts:
1. Historical bars are bars that have already closed when the script executes on them.
2. The realtime bar is the current, incomplete bar where a script is running on an open market. There is only one active realtime bar on your chart at any given time.
The realtime bar is where alerts trigger.
3. Elapsed realtime bars are bars that were calculated when they were realtime bars but have since closed.
When a script re-executes on a chart because the browser tab is refreshed or some of its inputs are changed, elapsed realtime bars are recalculated as historical bars.
Why does this indicator use two modes of calculation?
Historical bars on TradingView charts contain OHLCV data only, which is insufficient to calculate volume delta on them with any level of precision. To mine more detailed information from those bars we look at intrabars , i.e., bars from a smaller timeframe (we call it the intrabar timeframe ) that are contained in one chart bar. If your chart Is running at 1D on a 24x7 market for example, most 1D chart bars will contain 24 underlying 1H bars in their dilation. On historical bars, this indicator looks at those intrabars to amass volume delta information. If the intrabar is up, its volume goes in the Buy bin, and inversely for the Sell bin. When price does not move on an intrabar, the polarity of the last known movement is used to determine in which bin its volume goes.
In realtime, we have access to price and volume change for each update of the chart. Because a 1D chart bar can be updated tens of thousands of times during the day, volume delta calculations on those updates is much more precise. This precision, however, comes at a price:
— The script must be running on the chart for it to keep calculating in realtime.
— If you refresh your chart you will lose all accumulated realtime calculations on elapsed realtime bars, and the realtime bar.
Elapsed realtime bars will recalculate as historical bars, i.e., using intrabar inspection, and the realtime bar's calculations will reset.
When the script recalculates elapsed realtime bars as historical bars, the values on those bars will change, which means the script repaints in those conditions.
— When the indicator first calculates on a chart containing an incomplete realtime bar, it will count ALL the existing volume on the bar as Buy or Sell volume,
depending on the polarity of the bar at that point. This will skew calculations for that first bar. Scripts have no access to the history of a realtime bar's previous updates,
and intrabar inspection cannot be used on realtime bars, so this is the only to go about this.
— Even if alerts only trigger upon confirmation of their conditions after the realtime bar closes, they are repainting alerts
because they would perhaps not have calculated the same way using intrabar inspection.
— On markets like stocks that often have different EOD and intraday feeds and volume information,
the volume's scale may not be the same for the realtime bar if your chart is at 1D, for example,
and the indicator is using an intraday timeframe to calculate on historical bars.
— Any chart timeframe can be used in realtime mode, but plots that include moving averages in their calculations may require many elapsed realtime bars before they can calculate.
You might prefer drastically reducing the periods of the moving averages, or using the volume columns mode, which displays instant values, instead of the line.
Volume Delta Balances
This indicator uses a variety of methods to evaluate five volume delta balances and derive other values from those balances. The five balances are:
1 — On Bar Balance : This is the only balance using instant values; it is simply the subtraction of the Sell volume from the Buy volume on the bar.
2 — Average Balance : Calculates a distinct EMA for both the Buy and Sell volumes, and subtracts the Sell EMA from the Buy EMA.
3 — Momentum Balance : Starts by calculating, separately for both Buy and Sell volumes, the difference between the same EMAs used in "Average Balance" and
an SMA of double the period used for the "Average Balance" EMAs. The difference for the Sell side is subtracted from the difference for the Buy side,
and an RSI of that value is calculated and brought over the −50/+50 scale.
4 — Relative Balance : The reference values used in the calculation are the Buy and Sell EMAs used in the "Average Balance".
From those, we calculate two intermediate values using how much the instant Buy and Sell volumes on the bar exceed their respective EMA — but with a twist.
If the bar's Buy volume does not exceed the EMA of Buy volume, a zero value is used. The same goes for the Sell volume with the EMA of Sell volume.
Once we have our two intermediate values for the Buy and Sell volumes exceeding their respective MA, we subtract them. The final "Relative Balance" value is an ALMA of that subtraction.
The rationale behind using zero values when the bar's Buy/Sell volume does not exceed its EMA is to only take into account the more significant volume.
If both instant volume values exceed their MA, then the difference between the two is the signal's value.
The signal is called "relative" because the intermediate values are the difference between the instant Buy/Sell volumes and their respective MA.
This balance flatlines when the bar's Buy/Sell volumes do not exceed their EMAs, which makes it useful to spot areas where trader interest dwindles, such as consolidations.
The smaller the period of the final value's ALMA, the more easily you will see the balance flatline. These flat zones should be considered no-trade zones.
5 — Percent Balance : This balance is the ALMA of the ratio of the "On Bar Balance" value, i.e., the volume delta balance on the bar (which can be positive or negative),
over the total volume for that bar.
From the balances and marker conditions, two more values are calculated:
1 — Marker Bias : It sums the up/down (+1/‒1) occurrences of the markers 1 to 4 over a period you define, so it ranges from −4 to +4, times the period.
Its calculation will depend on the modes used to calculate markers 3 and 4.
2 — Combined Balances : This is the sum of the bull/bear (+1/−1) states of each of the five balances, so it ranges from −5 to +5.
█ FEATURES
The indicator has two main modes of operation: Columns and Line .
Columns
• In Columns mode you can display stacked Buy/Sell volume columns.
• The buy section always appears above the centerline, the sell section below.
• The top and bottom sections can be colored independently using eight different methods.
• The EMAs of the Buy/Sell values can be displayed (these are the same EMAs used to calculate the "Average Balance").
Line
• Displays one of seven signals: the five balances or one of two complementary values, i.e., the "Marker Bias" or the "Combined Balances".
• You can color the line and its fill using independent calculation modes to pack more information in the display.
You can thus appraise the state of 3 different values using the line itself, its color and the color of its fill.
• A "Divergence Levels" feature will use the line to automatically draw expanding levels on divergence events.
Default settings
Using the indicator's default settings, this is the information displayed:
• The line is calculated on the "Average Balance".
• The line's color is determined by the bull/bear state of the "Percent Balance".
• The line's fill gradient is determined by the advances/declines of the "Momentum Balance".
• The orange divergence dots are calculated using discrepancies between the polarity of the "On Bar Balance" and the chart's bar.
• The divergence levels are determined using the line's level when a divergence occurs.
• The background's fill gradient is calculated on advances/declines of the "Marker Bias".
• The chart bars are colored using advances/declines of the "Relative Balance". Divergences are shown in orange.
• The intrabar timeframe is automatically determined from the chart's timeframe so that a minimum of 50 intrabars are used to calculate volume delta on historical bars.
Alerts
The configuration of the marker conditions explained further is what determines the conditions that will trigger alerts created from this script. Note that simply selecting the display of markers does not create alerts. To create an alert on this script, you must use ALT-A from the chart. You can create multiple alerts triggering on different conditions from this same script; simply configure the markers so they define the trigger conditions for each alert before creating the alert. The configuration of the script's inputs is saved with the alert, so from then on you can change them without affecting the alert. Alert messages will mention the marker(s) that triggered the specific alert event. Keep in mind, when creating alerts on small chart timeframes, that discrepancies between alert triggers and markers displayed on your chart are to be expected. This is because the alert and your chart are running two distinct instances of the indicator on different servers and different feeds. Also keep in mind that while alerts only trigger on confirmed conditions, they are calculated using realtime calculation mode, which entails that if you refresh your chart and elapsed realtime bars recalculate as historical bars using intrabar inspection, markers will not appear in the same places they appeared in realtime. So it's important to understand that even though the alert conditions are confirmed when they trigger, these alerts will repaint.
Let's go through the sections of the script's inputs.
Columns
The size of the Buy/Sell columns always represents their respective importance on the bar, but the coloring mode for tops and bottoms is independent. The default setup uses a standard coloring mode where the Buy/Sell columns are always in the bull/bear color with a higher intensity for the winning side. Seven 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 "Average Balance", for example, you will have 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 "On Bar Balance — Dual Solid Colors" coloring mode to make those bars the color of the winning side for that bar. You can display the averages of the Buy and Sell columns. If you do, its coloring is controlled through the "Line" and "Line fill" sections below.
Line and Line fill
You can select the calculation mode and the thickness of the line, and independent calculations to determine the line's color and fill.
Zero Line
The zero line can display dots when all five balances are bull/bear.
Divergences
You first select the detection mode. Divergences occur whenever the up/down direction of the signal does not match the up/down polarity of the bar. Divergences are used in three components of the indicator's visuals: the orange dot, colored chart bars, and to calculate the divergence levels on the line. 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 precludes any attempt to identify a directional 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 the line's position relative to the levels, which is how I think divergences can be put to the most effective use. One of the coloring modes for the line's fill uses advances/declines in the line after divergence events.
Background
The background can show a bull/bear gradient on six different calculations. As with other gradients, you can adjust its brightness to make its importance proportional to how you use it in your analysis.
Chart bars
Chart bars can be colored using seven different methods. You have the option of emptying the body of bars where volume does not increase, as does my TLD indicator, and you can choose whether you want to show divergences.
Intrabar Timeframe
This is the intrabar timeframe that will be used to calculate volume delta using intrabar inspection on historical bars. You can choose between four modes. The three "Auto-steps" modes calculate, from the chart's timeframe, the intrabar timeframe where the said number of intrabars will make up the dilation of chart bars. Adjustments are made for non-24x7 markets. "Fixed" mode allows you to select the intrabar timeframe you want. Checking the "Show TF" box will display in the lower-right corner the intrabar timeframe used at any given moment. The proper selection of the intrabar timeframe is important. It must achieve maximal granularity to produce precise results while not unduly slowing down calculations, or worse, causing runtime errors. Note that historical depth will vary with the intrabar timeframe. The smaller the timeframe, the shallower historical plots you will be.
Markers
Markers appear when the required condition has been confirmed on a closed bar. The configuration of the markers when you create an alert is what determines when the alert will trigger. Five markers are available:
• Balances Agreement : All five balances are either bullish or bearish.
• Double Bumps : A double bump is two consecutive up/down bars with +/‒ volume delta, and rising Buy/Sell volume above its average.
• Divergence confirmations : A divergence is confirmed up/down when the chosen balance is up/down on the previous bar when that bar was down/up, and this bar is up/down.
• Balance Shifts : These are bull/bear transitions of the selected signal.
• Marker Bias Shifts : Marker bias shifts occur when it crosses into bull/bear territory.
Periods
Allows control over the periods of the different moving averages used to calculate the balances.
Volume Discrepancies
Stock exchanges do not report the same volume for intraday and daily (or higher) resolutions. Other variations in how volume information is reported can also occur in other markets, namely Forex, where volume irregularities can even occur between different intraday timeframes. This will cause discrepancies between the total volume on the bar at the chart's timeframe, and the total volume calculated by adding the volume of the intrabars in that bar's dilation. This does not necessarily invalidate the volume delta information calculated from intrabars, but it tells us that we are using partial volume data. A mechanism to detect chart vs intrabar timeframe volume discrepancies is provided. It allows you to define a threshold percentage above which the background will indicate a difference has been detected.
Other Settings
You can control here the display of the gray dot reminder on realtime bars, and the display of error messages if you are using a chart timeframe that is not greater than the fixed intrabar timeframe, when you use that mode. Disabling the message can be useful if you only use realtime mode at chart timeframes that do not support intrabar inspection.
█ RAMBLINGS
On Volume Delta
Volume is arguably the best complement to interpret price action, and I consider volume delta to be the most effective way of processing volume information. In periods of low-volatility price consolidations, volume will typically also be lower than normal, but slight imbalances in the trend of the buy/sell volume balance can sometimes help put early odds on the direction of the break from consolidation. Additionally, the progression of the volume imbalance can help determine the proximity of the breakout. I also find volume delta and the number of divergences very useful to evaluate the strength of trends. In trends, I am looking for "slow and steady", i.e., relatively low volatility and pauses where price action doesn't look like world affairs are being reassessed. In my personal mythology, this type of trend is often more resilient than high-volatility breakouts, especially when volume balance confirms the general agreement of traders signaled by the low-volatility usually accompanying this type of trend. The volume action on pauses will often help me decide between aggressively taking profits, tightening a stop or going for a longer-term movement. As for reversals, they generally occur in high-volatility areas where entering trades is more expensive and riskier. While the identification of counter-trend reversals fascinates many traders to no end, they represent poor opportunities in my view. Volume imbalances often precede reversals, but I prefer to use volume delta information to identify the areas following reversals where I can confirm them and make relatively low-cost entries with better odds.
On "Buy/Sell" Volume
Buying or selling volume are misnomers, as every unit of volume transacted is both bought and sold by two different traders. While this does not keep me from using the terms, there is no such thing as “buy only” or “sell only” volume. Trader lingo is riddled with peculiarities.
Divergences
The divergence detection method used here relies on a difference between the direction of a signal and the polarity (up/down) of a chart bar. When using the default "On Bar Balance" to detect divergences, however, only the bar's volume delta is used. You may wonder how there can be divergences between buying/selling volume information and price movement on one bar. This will sometimes be due to the calculation's shortcomings, but divergences may also occur in instances where because of order book structure, it takes less volume to increase the price of an asset than it takes to decrease it. As usual, divergences are points of interest because they reveal imbalances, which may or may not become turning points. To your pattern-hungry brain, the divergences displayed by this indicator will — as they do on other indicators — appear to often indicate turnarounds. My opinion is that reality is generally quite sobering and I have no reliable information that would tend to prove otherwise. Exercise caution when using them. Consequently, I do not share the overwhelming enthusiasm of traders in identifying bullish/bearish divergences. For me, the best course of action when a divergence occurs is to wait and see what happens from there. That is the rationale underlying how my divergence levels work; they take note of a signal's level when a divergence occurs, and it's the signal's behavior from that point on that determines if the post-divergence action is bullish/bearish.
Superfluity
In "The Bed of Procrustes", Nassim Nicholas Taleb writes: To bankrupt a fool, give him information . This indicator 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 it 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.
█ LIMITATIONS
• This script uses a special characteristic of the `security()` function allowing the inspection of intrabars — which is not officially supported by TradingView.
It has the advantage of permitting a more robust calculation of volume delta than other methods on historical bars, but also has its limits.
• Intrabar inspection only works on some chart timeframes: 3, 5, 10, 15 and 30 minutes, 1, 2, 3, 4, 6, and 12 hours, 1 day, 1 week and 1 month.
The script’s code can be modified to run on other resolutions.
• When the difference between the chart’s timeframe and the intrabar timeframe is too great, runtime errors will occur. The Auto-Steps selection mechanisms should avoid this.
• All volume is not created equally. Its source, components, quality and reliability will vary considerably with sectors and instruments.
The higher the quality, the more reliably volume delta information can be used to guide your decisions.
You should make it your responsibility to understand the volume information provided in the data feeds you use. It will help you make the most of volume delta.
█ NOTES
For traders
• The Data Window shows key values for the indicator.
• While this indicator displays some of the same information calculated in my Delta Volume Columns ,
I have elected to make it a separate publication so that traders continue to have a simpler alternative available to them. Both code bases will continue to evolve separately.
• All gradients used in this indicator determine their brightness intensities using advances/declines in the signal—not their relative position in a pre-determined scale.
• Volume delta being relative, by nature, it is particularly well-suited to Forex markets, as it filters out quite elegantly the cyclical volume data characterizing the sector.
If you are interested in volume delta, consider having a look at my other "Delta Volume" indicators:
• Delta Volume Realtime Action displays realtime volume delta and tick information on the chart.
• Delta Volume Candles builds volume delta candles on the chart.
• Delta Volume Columns is a simpler version of this indicator.
For coders
• I use the `f_c_gradientRelativePro()` from the PineCoders Color Gradient Framework to build my gradients.
This function has the advantage of allowing begin/end colors for both the bull and bear colors. It also allows us to define the number of steps allowed for each gradient.
I use this to modulate the gradients so they perform optimally on the combination of the signal used to calculate advances/declines,
but also the nature of the visual component the gradient applies to. I use fewer steps for choppy signals and when the gradient is used on discrete visual components
such as volume columns or chart bars.
• 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:
— The devs from TradingView's Pine and other teams, and the PineCoders who collaborate with them. They are doing amazing work,
and much of what this indicator does could not be done without their recent improvements to Pine.
— A guy called Kuan who commented on a Backtest Rookies presentation of their Volume Profile indicator using a `for` loop.
This indicator started from the intrabar inspection technique illustrated in Kuan's snippet.
— theheirophant , my partner in the exploration of the sometimes weird abysses of `security()`’s behavior at intrabar timeframes.
— midtownsk8rguy , my brilliant companion in mining the depths of Pine graphics.
在腳本中搜尋"breakout"
Dinámicas de Mercado ProUser Manual: Indicator "Dinámicas de Mercado Pro" (DMP)
Author: @Profit_Quant
Created by: Gemini AI (2025)
1. General Concept
The "Dinámicas de Mercado Pro" indicator is an all-in-one technical analysis tool designed to be overlaid directly onto your price chart. Its goal is to provide a clear and concise view of the market structure by combining three crucial trading elements:
The Overall Trend: What is the main direction of the market?
Liquidity Zones: Where is the price likely to react (supports and resistances)?
Breakout Momentum: When is the price breaking out of a range with force and volume?
By integrating these components, the DMP helps you make more informed trading decisions by identifying high-probability zones for entering or exiting trades.
2. Essential Step! - Initial Chart Setup
For the indicator to work as designed, it is essential to hide the original candles of the TradingView chart.
The indicator already draws its own candles with the market sentiment colors. If you do not hide the original ones, you will see both sets of candles overlapping, which will make the chart confusing and unreadable.
How to hide the chart's candles?
There are two simple ways:
Method 1 (Recommended):
Once you have the "DMP" indicator on your chart, look for the symbol's name in the top-left corner of your screen (e.g., BTCUSD, EURUSD, etc.).
Right next to the name, you will see an eye icon (👁️).
Click that eye icon to hide the main symbol (the original candles, bars, or lines). The chart will become clean, showing only the candles drawn by the DMP indicator.
Method 2 (Alternative):
Click the gear icon (⚙️) for the chart settings.
Go to the "Symbol" tab.
Uncheck the boxes for "Body," "Borders," and "Wicks," or set their opacity to 0%.
3. Main Components and Their Interpretation
The indicator has 3 key visual components you need to understand.
a) Supply and Demand Zones (Order Blocks)
These are the colored rectangles drawn automatically on the chart.
What are they?: They represent zones where there was a strong imbalance between buyers and sellers, often caused by the activity of large institutions.
Demand Zone (Blue Rectangle): A potential support zone. When the price returns to this area, buying pressure is expected to increase, pushing the price up.
Supply Zone (Red Rectangle): A potential resistance zone. When the price reaches this area, selling pressure is expected to increase, pushing the price down.
Mitigated Zone (Gray Rectangle): When the price touches a supply or demand zone, it becomes "mitigated," meaning the liquidity in that zone has already been used. The zone turns gray to indicate that it is less reliable and the price is more likely to break through it in the future.
b) Candle Coloring (Market Sentiment)
The chart candles will change color based on a priority system to give you an instant read of market sentiment.
Green Candles (Uptrend): Indicate that the price is above the long-term Exponential Moving Average (EMA) (200 by default). This suggests the overall trend is bullish, and you should look for buying opportunities.
Red Candles (Downtrend): Indicate that the price is below the 200 EMA. This suggests the overall trend is bearish, and you should look for selling opportunities.
White Candles (Bullish Breakout): Alert! This occurs when the price breaks a recent range high AND is accompanied by above-average volume. It's a strong sign of bullish momentum.
Purple Candles (Bearish Breakout): Alert! This occurs when the price breaks a recent range low with high volume. It's a strong sign of bearish momentum.
Gray Candles (Neutral): Appear when the price is very close to the 200 EMA, indicating indecision or consolidation in the market. This is a time for caution.
c) Probability Paths (Price Targets)
These are the dashed lines projected from the last real-time candle.
Demand Path (Blue Dashed Line): Points from the current price to the center of the nearest unmitigated demand zone. It acts as a potential support target.
Supply Path (Red Dashed Line): Points from the current price to the center of the nearest unmitigated supply zone. It acts as a potential resistance target.
4. Basic Trading Strategies
Confluence Strategy: Look for buying opportunities when the price pulls back to a blue demand zone while the candles are green (uptrend). Look for selling opportunities when the price rallies to a red supply zone with red candles (downtrend).
Breakout Strategy: Use the white or purple candles as an aggressive entry signal in the direction of the breakout. The stop-loss could be placed on the other side of the breakout candle.
Range Strategy: When the price is trapped between a clear supply and demand zone (with no breakout candles), you can trade the bounces between them until one zone is broken with a white or purple candle, signaling the end of the range.
5. Indicator Settings (Parameters)
You can customize every aspect of the indicator in its settings panel (the options are self-explanatory in the indicator's menu).
PMZ's Triple Filter Trend Strategy {Darkoexe}This strategy is a rule-based trend and momentum trading system that combines three unique technical models into a single composite engine. It’s designed for traders who prefer well-filtered entries, limited noise, and clear trade structure.
🔍 Core Logic
PMZ’s Composite Strategy integrates the following systems:
✅ 1. ASO (Advanced Sentiment Oscillator)
Measures bullish vs. bearish dominance using custom formulas that blend intrabar pressure with group-range dynamics. Three calculation modes give flexibility in emphasis.
✅ 2. SSL Channel
A classic trend-following method based on moving averages of highs and lows. It helps filter out false signals and align trades with broader market direction.
✅ 3. MBI (Momentum Breakout Indicator)
Looks for breakouts above/below recent extremes. It acts as the final trigger mechanism when other filters are aligned.
Trades are only taken when:
A fresh ASO/SSL trend agreement occurs
A MBI breakout happens in the same direction
A recent crossover (bullish or bearish) confirms the signal
⚙️ Strategy Settings
Backtesting Toggle – Define start and end time for historical testing.
Take Profit / Stop Loss via ATR – Risk-managed exits using user-defined ATR multipliers.
No Reentries – The strategy waits until the current trade is closed before opening a new one (no overlapping trades).
📊 How It Works
🟢 Long Entry: Triggered when all 3 modules turn bullish together, with confirmation from an ASO trend crossover.
🔴 Short Entry: Triggered when all 3 modules align bearish.
📉 Stop Loss / Take Profit: Calculated dynamically using ATR to adapt to volatility.
🔧 Customizable Inputs
ASO Period & Method
SSL Moving Average Period
MBI Breakout Lookback
ATR period + TP/SL Ratios
Backtest Date Range Controls
🛑 Disclaimer
This strategy is a technical tool and not financial advice. Past performance is not indicative of future results. Always forward test and evaluate performance in live or paper environments before trading with real capital.
SMA/EMA Trade Signal# SMA/EMA Trade Signal - Detailed Guide
## Indicator Overview
This indicator is a comprehensive trade signal detection system based on moving averages (SMA/EMA). It combines multi-timeframe moving average analysis, RSI filtering, trend strength assessment, and volume analysis to identify highly accurate entry points.
## Key Features
### 1. Multi-Timeframe Moving Average Display
* **Supported Timeframes**: 5m, 15m, 30m, 1H, 4H, Daily
* **MA Types**: SMA (Simple Moving Average) or EMA (Exponential Moving Average)
* **Period Settings**: Short MA (default 20), Long MA (default 200)
* **Visual Display**: Displayed with varying opacity lines per timeframe
### 2. Four Entry Signal Patterns
#### Buy Signals
1. **Breakout above 200MA**: Price breaks above the 200MA during an uptrend
2. **Rebound from 200MA**: Price pulls back to 200MA and rebounds in an uptrend
3. **Break above 20MA (above 200MA)**: 20MA breakout while above the 200MA
4. **Rebound from 20MA (above 200MA)**: Confirmed rebound from 20MA above 200MA (confirmed twice or more)
#### Sell Signals
1. **Breakdown below 200MA**: Price breaks below 200MA during a downtrend
2. **Rejection from 200MA**: Price rises to 200MA and falls back in a downtrend
3. **Break below 20MA (below 200MA)**: 20MA breakout to downside while under the 200MA
4. **Rejection from 20MA (below 200MA)**: Confirmed rejection from 20MA under 200MA (confirmed twice or more)
### 3. Advanced Filtering System
#### RSI Filter
* **Buy Signals**: Triggered when RSI is below 70
* **Sell Signals**: Triggered when RSI is above 30
* **Purpose**: Avoid entries in overheated markets
#### Distance Filter
* **Short MA Distance**: Within 2% of the 20MA
* **Long MA Distance**: Within 5% of the 200MA
* **200MA Proximity Filter**: Avoid entries when 200MA from other timeframes is too close
#### Trend Strength Filter
Trend strength is evaluated using the following 6 elements:
1. **Volume Surge**: 1.5x or more of the average volume
2. **Strong Candlestick**: Body is over 70% of the total range
3. **Consecutive Candles**: Two or more in the same direction
4. **High/Low Breakout**: Breaks 20-period high/low
5. **Engulfing Pattern**
6. **Range Breakout**: Breaks range with volume
### 4. Info Panel Display
Real-time display in the upper right panel:
* **Trend Status**: Uptrend / Downtrend / Range
* **Momentum**: Relationship between EMA15 and MA20
* **MA Bounce Count**: Long/short bounce count
* **MA Distance**: Degree of separation from MAs
* **Trend Strength Score**: Displayed as a score from 1 to 6
* **Distance to 200MA**: Nearest 200MA in pips
* **Filter Status**: Status of each filter (pass/fail)
## Parameter Details
### Display Settings
* **Show Current Timeframe MA**
* **Show \ MA**: Toggle for each timeframe
* **Show Trend Patterns**: Display trend pattern marks
* **Show Volume Surge Background**: Highlight background during volume spikes
### MA Period Settings
* **Short/Long MA Periods**
* **MA Type**: Choose between SMA or EMA
* **Timeframe-Specific Settings**: Set individually per timeframe
### Filter Settings
* **RSI Settings**: RSI period, overbought/oversold levels
* **Distance Filter**: Max allowable MA distance
* **Touch Detection**: Margin for MA touch judgment
* **Trend Strength**: Min score, volume multiplier, etc.
## How to Use
### 1. Basic Setup
1. Apply the indicator to the chart
2. Adjust MA periods according to the currency pair
3. Select desired timeframes
4. Set filter strength based on risk tolerance
### 2. Reading the Signals
#### Regular vs Strong Signals
* **Green Triangle (BUY)**: Regular buy signal
* **Lime Triangle (STRONG BUY)**: Buy signal with strong trend
* **Red Triangle (SELL)**: Regular sell signal
* **Orange Triangle (STRONG SELL)**: Sell signal with strong trend
#### Additional Markings
* **Small Circles**: Engulfing patterns
* **Arrows**: High/low breakouts
* **Yellow Background**: Volume surge
### 3. Entry Strategy
#### Recommended Entry Conditions
1. **Signal Triggered**: BUY or SELL signal appears
2. **Filter Confirmation**: Info panel shows "OK" status
3. **Trend Strength**: Score of 2 or higher (3+ for strong signals)
4. **Multi-Timeframe Alignment**: MAs from multiple timeframes point in same direction
#### Situations to Avoid
* Filter status shows “Distance NG”, “RSI NG”, etc.
* Trend strength score is 1 or lower
* Just before major economic events
* Around market open/close times
### 4. Risk Management
#### Stop Loss Setup
* **Buy**: Below recent low or support
* **Sell**: Above recent high or resistance
* **MA Reference**: Cut loss clearly below 200MA
#### Position Sizing
* Strong signals: Slightly larger positions
* Regular signals: Standard size
* Weak filter status: Smaller positions
## Optimization Tips
### Parameter Tuning
1. **Run Backtests**: Evaluate historical performance
2. **Adapt to Timeframe**: Adjust MA period to match trading timeframe
3. **Pair-Specific Tweaks**: Calibrate filters based on volatility
4. **Adapt to Market Conditions**: Change settings for trend vs range markets
### Combined Usage
* **Other Indicators**: Fibonacci, Support/Resistance
* **Fundamental Analysis**: Economic events, central bank policies
* **Time-of-Day Analysis**: Consider characteristics of Asian, EU, US sessions
## Important Notes
1. **Past results don’t guarantee future performance**: Don't rely solely on backtests
2. **Changing Market Conditions**: Effectiveness varies in trending vs ranging markets
3. **News Impact**: Technical setups can be invalidated by major announcements
4. **Leverage Risk**: Use high leverage cautiously
5. **Regular Review**: Periodically review parameters and performance
Although this indicator is a comprehensive analysis tool, final trading decisions should be made by taking multiple factors into account.
CDP - Counter-Directional-Pivot🎯 CDP - Counter-Directional-Pivot
📊 Overview
The Counter-Directional-Pivot (CDP) indicator calculates five critical price levels based on the previous day's OHLC data, specifically designed for multi-timeframe analysis. Unlike standard pivot points, CDP levels are calculated using a unique formula that identifies potential reversal zones where price action often changes direction.
⚡ What Makes This Script Original
This implementation solves several technical challenges that existing pivot indicators face:
🔄 Multi-Timeframe Consistency: Values remain identical across all timeframes (1m, 5m, 1h, daily) - a common problem with many pivot implementations
🔒 Intraday Stability: Uses advanced value-locking technology to prevent the "stepping" effect that occurs when pivot lines shift during the trading session
💪 Robust Data Handling: Optimized for both liquid and illiquid stocks with enhanced data synchronization
🧮 CDP Calculation Formula
The indicator calculates five key levels using the previous day's High (H), Low (L), and Close (C):
CDP = (H + L + C) ÷ 3 (Central Decision Point)
AH = 2×CDP + H – 2×L (Anchor High - Strong Resistance)
NH = 2×CDP – L (Near High - Moderate Resistance)
AL = 2×CDP – 2×H + L (Anchor Low - Strong Support)
NL = 2×CDP – H (Near Low - Moderate Support)
✨ Key Features
🎨 Visual Elements
📈 Five Distinct Price Levels: Each with customizable colors and line styles
🏷️ Smart Label System: Shows exact price values for each level
📋 Optional Value Table: Displays all levels in an organized table format
🎯 Clean Chart Display: Minimal visual clutter while maximizing information
⚙️ Technical Advantages
🔐 Session-Locked Values: Prices are locked at market open, preventing intraday shifts
🔄 Multi-Timeframe Sync: Perfect consistency between daily and intraday charts
✅ Data Validation: Built-in checks ensure reliable calculations
🚀 Performance Optimized: Efficient code structure for fast loading
💼 Trading Applications
🔄 Reversal Zones: AH and AL often act as strong turning points
💥 Breakout Confirmation: Price movement beyond these levels signals trend continuation
🛡️ Risk Management: Use levels for stop-loss and take-profit placement
🏗️ Market Structure: Understand daily ranges and potential price targets
📚 How to Use
🚀 Basic Setup
Add the indicator to your chart (works on any timeframe)
Customize colors for easy identification of support/resistance zones
Enable the value table for quick reference of exact price levels
📈 Trading Strategy Examples
🟢 Long Bias: Look for bounces at NL or AL levels
🔴 Short Bias: Watch for rejections at NH or AH levels
💥 Breakout Trading: Enter positions when price decisively breaks through anchor levels
↔️ Range Trading: Use CDP as the central reference point for range-bound markets
🎯 Advanced Strategy Combinations
RSI Integration for Enhanced Signals: 📊
📉 Oversold Bounces: Combine RSI below 30 with price touching AL/NL levels for high-probability long entries
📈 Overbought Rejections: Look for RSI above 70 with price rejecting AH/NH levels for short opportunities
🔍 Divergence Confirmation: When RSI shows bullish divergence at support levels (AL/NL) or bearish divergence at resistance levels (AH/NH), it often signals stronger reversal potential
⚡ Momentum Confluence: RSI crossing 50 while price breaks through CDP can confirm trend direction changes
⚙️ Configuration Options
🎨 Line Customization: Adjust width, style (solid/dashed/dotted), and colors
👁️ Display Preferences: Toggle individual levels, labels, and value table
📍 Table Position: Place the value table anywhere on your chart
🔔 Alert System: Get notifications when price crosses key levels
🔧 Technical Implementation Details
🎯 Data Reliability
The script uses request.security() with lookahead settings to ensure historical accuracy while maintaining real-time functionality. The value-locking mechanism prevents the common issue where pivot levels shift during the trading day.
🔄 Multi-Timeframe Logic
⏰ Intraday Charts: Display previous day's calculated levels as stable horizontal lines
📅 Daily Charts: Show current day's levels based on yesterday's OHLC
🔍 Consistency Check: All timeframes reference the same source data
🤔 Why CDP vs Standard Pivots?
Counter-Directional Pivots often provide more accurate reversal points than traditional pivot calculations because they incorporate the relationship between high/low ranges and closing prices more effectively. The formula creates levels that better reflect market psychology and institutional trading behaviors.
💡 Best Practices
💧 Use on liquid markets for most reliable results
📊 RSI Combination: Add RSI indicator for overbought/oversold confirmation and divergence analysis
📊 Combine with volume analysis for confirmation
🔍 Consider multiple timeframe analysis (daily levels on hourly charts)
📝 Test thoroughly in paper trading before live implementation
💪 Example Market Applications
NASDAQ:AAPL AAPL - Tech stock breakouts through AH levels
$NYSE:SPY SPY - Index trading with CDP range analysis
NASDAQ:TSLA TSLA - Volatile stock reversals at AL/NL levels
⚠️ This indicator is designed for educational and analytical purposes. Always combine with proper risk management and additional technical analysis tools.
Adaptive Momentum Scalper (AMS) - ADX/RSI Filters Fixed### 📘 Strategy Description: **Adaptive Momentum Scalper (AMS) – Prop Firm Edition**
The **Adaptive Momentum Scalper (AMS)** is a breakout-based trend-following strategy designed with **prop firm trading rules and risk management** in mind. It combines volatility, momentum, and trend filters with dynamic sizing to manage risk across changing market conditions.
#### ✅ Core Features:
* **Breakout Logic**: Enters long or short when price breaks above/below a short-term range.
* **Momentum Filter**: Confirms breakouts with ATR-based price momentum.
* **Trend Filter**: Uses EMA(20) to ensure directional bias.
* **Volatility Filter**: Requires ATR > ATR average to avoid choppy zones.
* **ADX Filter (Optional)**: Confirms strength of trend (default ADX > 20).
* **RSI Zone Filter (Optional)**: Limits long trades to RSI > 50, shorts to RSI < 50.
* **Dynamic Position Sizing**: Risk-based lot sizing tied to ATR and account equity.
* **Hard SL/TP or Time-Based Exit**: Trades close by target, stop, or max bars in trade.
* **Session Filtering**: Trade only within configured hours (to avoid high spread periods).
* **Prop Firm Safety-Oriented**: Configurable to stay within max drawdown rules.
---
### ⚙️ Settings:
* **Risk per Trade** (% of equity)
* **ATR multipliers** for stop loss and take profit
* **Trading hours** (e.g. 1 AM to 10 PM EST)
* **Max bars in trade before exit**
* **Enable/disable**:
* ADX filter
* RSI filter
---
### 🎯 Ideal Use:
* Scalping on **Gold (XAUUSD)** or other volatile assets.
* Forward testing under prop firm conditions (3% daily / 6% max drawdown).
* Identifying breakout opportunities with strong trend and momentum backing.
COV Bands ~ C H I P ACOV Bands ~ C H I P A is a custom volatility and trend identification tool designed to capture directional shifts using the Coefficient of Variation (COV), calculated from standard deviation relative to a mean price baseline.
Key features include:
A configurable SMA-based mean baseline to anchor volatility measurements clearly.
Adjustable upper and lower band multipliers to independently calibrate sensitivity and responsiveness for bullish or bearish breakouts.
Dynamic bands derived from price-relative volatility (COV), enabling adaptive identification of significant price deviations.
User-controlled standard deviation length to manage sensitivity and smoothness of volatility signals.
Direct candle coloring, providing immediate visual feedback using vibrant electric blue for bullish momentum and bright red for bearish momentum.
This indicator is particularly useful for detecting meaningful price movements, breakout signals, and potential reversals when the market moves significantly beyond its typical volatility boundaries.
Note: This indicator has not undergone formal robustness or optimization testing. Therefore, future performance in live trading environments isn't guaranteed.
IU Pivot Zones + GMADESCRIPTION:
IU Pivot Zones + GMA is a smart price-action-based indicator that detects meaningful support and resistance zones formed through pivot highs/lows while combining them with dynamic zone generation and Geometric Moving Averages (GMA). This tool is built to help traders visualize institutional breakout/rejection zones with clear, logical mapping and live box management — helping you stay ahead of the move.
The indicator is designed for intraday, swing, and positional traders who want to enhance their trading decisions with visual confluence zones and market structure logic.
USER INPUTS
* Pivot point Lengths: Number of bars used to detect pivot highs/lows
* Zone length: Controls the thickness of the support/resistance zone; higher values create wider zones
* GMA Length: Period for calculating the geometric moving averages based on highs and lows
* Allow Bar/candle Color: Enables or disables special candle coloring when price interacts with the zones
LOGIC OF THE INDICATOR:
* Detects pivot highs and pivot lows using the user-defined length
* Compares consecutive pivot levels to determine if they fall within a valid ATR-based price band to form a zone
* If confirmed, the indicator dynamically plots a resistance or support box between those pivot points, colored respectively (red for resistance, green for support)
* The boxes update in real-time based on price action. If price respects the zone, the box extends forward. If price breaks the zone, the box disappears
* Geometric Moving Averages (GMA) based on logarithmic mean of highs and lows are plotted to offer a trend bias
* Candles that touch the top of the support zone are colored yellow, and those touching the bottom of the resistance zone are orange, enhancing zone reaction visibility
WHY IT IS UNIQUE:
* Uses logarithmic-based GMAs, which are smoother and less reactive than traditional moving averages
* ATR-based zone logic makes it adaptive to volatility instead of using fixed-width zones
* Combines structural levels (pivots), volatility filters (ATR), and trend overlays (GMA) in one unified tool
* Real-time zone extension and disappearance logic based on price interaction
HOW USER CAN BENEFIT FROM IT:
* Spot high-probability breakout or reversal zones that price respects consistently
* Use the GMA cloud for trend confirmation — for example, bullish bias when price is above both GMAs
* Build price action strategies around zone touches, breakouts, or rejections
* Use color-coded candles as real-time alerts for potential entry/exit signals near S/R levels
* Save time by avoiding manual marking of zones on charts across timeframes
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Sessions [Plug&Play]This indicator automatically highlights the three major FX trading sessions—Asia, London, and New York—on your chart and, at the close of each session, draws right-extended horizontal rays at that session’s high and low. It’s designed to help you visually identify when price is trading within each session’s range and to quickly see where the highest and lowest prices occurred before the next major session begins.
Key Features:
Session Boxes
Draws a semi-transparent box around each session’s timeframe (Asia, London, New York) based on your local UTC offset.
Each box dynamically expands in real time: as new candles form during the session, the box’s top and bottom edges update to match the highest high and lowest low seen so far in that session.
When the session ends, the box remains on your chart, anchored to the exact candles that formed its boundaries.
High/Low Rays
As soon as a session closes (e.g., London session ends at 17:00 UTC+0 by default), two horizontal rays are drawn at that session’s final high and low.
These rays are “pinned” to the exact candles where the high/low occurred, so they stay in place when you scroll or zoom.
Each ray extends indefinitely to the right, providing a clear reference of the key supply/demand levels created during that session.
Session Labels
Optionally places a small “London,” “New York,” or “Asia” label at the top edge of each completed session’s box.
Labels are horizontally centered within the session’s box and use a contrasting, easy-to-read font color.
Customizable Appearance
Show/Hide Each Session: Toggle display of London, New York, and Asia sessions separately.
Time Ranges: By default, London is 08:00–17:00 (UTC), New York is 13:00–22:00 (UTC), and Asia is 00:00–07:00 (UTC). You can override each session’s start/end times using the “Time Range” picker.
Color & Opacity: Assign custom colors to each session. Choose a global “Dark,” “Medium,” or “Light” opacity preset to adjust box fill transparency and border shading.
Show/Hide Labels & Outlines: Turn the text labels and the box borders on or off independently.
UTC Offset Support
If your local broker feed or price data is not in UTC, simply adjust the “UTC Offset (+/–)” input. The indicator will recalculate session start/end times relative to your chosen offset.
How to Use:
Add the Indicator:
Open TradingView’s Pine Editor, paste in this script, and click “Add to Chart.”
By default, you’ll see three translucent boxes appear once each session begins (Asia, London, New York).
Watch in Real Time:
As soon as a session starts, its box will appear anchored to the first candle. The top and bottom of the box expand if new extremes occur.
When the session closes, the final box remains visible and two horizontal rays mark that session’s high and low.
Analyze Key Levels:
Use the high- and low-level rays to gauge session liquidity zones—areas where stop orders, breakouts, or reversals often occur.
For example, if London’s high is significantly above current price, it may act as resistance in the New York session.
Customize to Your Needs:
Toggle specific sessions on/off (e.g., if you only care about London and New York).
Change each session’s color to match your chart theme.
Adjust the “UTC Offset” so sessions align with your local time.
Disable labels or box borders if you prefer a cleaner look.
Inputs Overview:
Show London/New York/Asia Session (bool): Show or hide each session’s box and its high/low rays.
Time Range (session): Defines the start/end of each session in “HHMM–HHMM” (24h) format.
Colour (color): Custom color for each session’s box fill, border, and high/low rays.
Show Session Labels (bool): Toggle the “London,” “New York,” “Asia” text that appears at the top of each completed box.
Show Range Outline (bool): Toggle the box border (if off, only a translucent fill is drawn).
Opacity Preset (Dark/Medium/Light): Controls transparency of box fill and border.
UTC Offset (+/–) (int): Adjusts session times for different time zones (e.g., +1 for UTC+1).
Why It’s Useful:
Quickly Identify Session Activity: Visually distinguish when each major trading session is active, then compare price action across sessions.
Pinpoint High/Low Liquidity Levels: Drawn rays highlight where the market hit its extremes—critical zones for stop orders or breakout entries.
Multi-Timeframe Context: By seeing historical session boxes and rays, you can locate recurring supply/demand areas, overlap zones, or session re-tests.
Fully Automated Workflow: Once added to your chart, the script does all the work of tracking session boundaries and drawing high/low lines—no manual box or line drawing necessary.
Example Use Cases:
London Breakout Traders: See where London’s high/low formed, then wait for price to revisit those levels during the New York session.
Range Breakout Strategies: If price consolidates inside the London box, use the boxed extremes as immediate targets for breakout entries.
Intraday Liquidity Swings: During quieter hours, watch Asia’s high/low to identify potential support/resistance before London’s opening.
Overlap Zones: Compare London’s range with Asia’s range to find areas of confluence—high-probability reversal or continuation zones.
OA - Sigma BandsDescription:
The OA - Sigma Bands indicator is a fully adaptive, volatility-sensitive dynamic band system designed to detect price expansion and potential breakouts. Unlike traditional fixed-width Bollinger Bands, OA - Sigma Bands adjust their boundaries based on a combination of standard deviation (σ) and Average Daily Range (ADR), making them more responsive to real market behavior and shifts in volatility.
Key Concepts & Logic
This tool constructs three distinct band regions:
Sigma Bands (±σ):
Calculated using the standard deviation of the closing price over a user-defined lookback period. This acts as the core volatility filter to identify statistically significant price deviations.
ADR Zones (±ADR):
These zones provide an additional layer based on the percentage average of daily price ranges over the last 20 bars. They help visualize intraday or short-term expected volatility.
Dynamic Adjustment Logic:
When price breaks outside the upper/lower sigma or ADR boundaries for a defined number of bars (user input), the system recalibrates. This ensures that the bands evolve with volatility and don’t remain outdated in trending markets.
Inputs & Customization
Sigma Multiplier: Set how wide the sigma bands should be (default: 1.5).
Lookback Period: Controls how many bars are used to calculate the standard deviation (default: 200).
Break Confirmation Bars: Determines how many candles must close beyond a boundary to trigger band recalibration.
ADR Period: Internally fixed at 20 bars for stable short-term volatility measurement.
Full Color Customization: Customize the band colors and fill transparency to suit your chart style.
Benefits & Use Cases
Breakout Trading: Detect when price exits statistically significant ranges, confirming trend expansion.
Mean Reversion: Use the outer bands as potential reversion zones in sideways or low-volatility markets.
Volatility Awareness: Visually identify when price is compressed or expanding.
Dynamic Structure: The auto-updating nature makes it more reliable than static historical zones.
Overlay-Ready: Designed to sit directly on price charts with minimal clutter.
Disclaimer
This script is intended for educational and informational purposes only. It does not constitute investment advice, financial guidance, or a recommendation to buy or sell any security. Always perform your own research and apply proper risk management before making trading decisions.
If you enjoy this script or find it useful, feel free to give it or leave a comment!
Not-So-Average True Range (nsATR)Not-So-Average True Range (nsATR)
*By Sherlock_MacGyver*
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Long Story Short
The nsATR is a complete overhaul of traditional ATR analysis. It was designed to solve the fundamental issues with standard ATR, such as lag, lack of contextual awareness, and equal treatment of all volatility events.
Key innovations include:
* A smarter ATR that reacts dynamically when price movement exceeds normal expectations.
* Envelope zones that distinguish between moderate and extreme volatility conditions.
* A long-term ATR baseline that adds historical context to current readings.
* A compression detection system that flags when the market is coiled and ready to break out.
This indicator is designed for traders who want to see volatility the way it actually behaves — contextually, asymmetrically, and with predictive power.
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What Is This Thing?
Standard ATR (Average True Range) has limitations:
* It smooths too slowly (using Wilder's RMA), which delays detection of meaningful moves.
* It lacks context — no way to know if current volatility is high or low relative to history.
* It treats all volatility equally, regardless of scale or significance.
nsATR** was built from scratch to overcome these weaknesses by applying:
* Amplification of large True Range spikes.
* Visual envelope zones for detecting volatility regimes.
* A long-term context line to anchor current readings.
* Multi-factor compression analysis to anticipate breakouts.
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Core Features
1. Breach Detection with Amplification
When True Range exceeds a user-defined threshold (e.g., ATR × 1.2), it is amplified using a power function to reflect nonlinear volatility. This amplified value is then smoothed and cascades into future ATR values, affecting the indicator beyond a single bar.
2. Direction Tagging
Volatility spikes are tagged as upward or downward based on basic price momentum (close vs previous close). This provides visual context for how volatility is behaving in real-time.
3. Envelope Zones
Two adaptive envelopes highlight the current volatility regime:
* Stage 1: Moderate volatility (default: ATR × 1.5)
* Stage 2: Extreme volatility (default: ATR × 2.0)
Breaching these zones signals meaningful expansion in volatility.
4. Long-Term Context Baseline
A 200-period simple moving average of the classic ATR establishes whether current readings are above or below long-term volatility expectations.
5. Multi-Signal Compression Detection
Flags potential breakout conditions when:
* ATR is below its long-term baseline
* Price Bollinger Bands are compressed
* RSI Bollinger Bands are also compressed
All three signals must align to plot a "Volatility Confluence Dot" — an early warning of potential expansion.
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Chart Outputs
In the Indicator Pane:
* Breach Amplified ATR (Orange line)
* Classic ATR baseline (White line)
* Long-Term context baseline (Cyan line)
* Stage 1 and Stage 2 Envelopes (Purple and Yellow lines)
On the Price Chart:
* Triangles for breach direction (green/red)
* Diamonds for compression zones
* Optional background coloring for visual clarity
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Alerts
Built-in alert conditions:
1. ATR breach detected
2. Stage 1 envelope breached
3. Stage 2 envelope breached
4. Compression zone detected
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Customization
All components are modular. Traders can adjust:
* Display toggles for each visual layer
* Colors and line widths
* Breach threshold and amplification power
* Envelope sensitivity
* Compression sensitivity and lookback windows
Some options are disabled by default to reduce clutter but can be turned on for more aggressive signal detection.
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Real-Time Behavior (Non-Repainting Clarification)
The indicator updates in real time on the current bar as new data comes in. This is expected behavior for live trading tools. Once a bar closes, values do not change. In other words, the indicator *does not repaint history* — but the current bar can update dynamically until it closes.
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Use Cases
* Day traders: Use compression zones to anticipate volatility surges.
* Swing traders: Use envelope breaches for regime awareness.
* System developers: Replace standard ATR in your logic for better responsiveness.
* Risk managers: Use directional volatility signals to better model exposure.
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About the Developer
Sherlock_MacGyver develops original trading systems that question default assumptions and solve real trader problems.
Support and Resistance ZonesSupport and Resistance Zones— Indicator
Overview :
This indicator dynamically detects and visualizes key support and resistance zones by aggregating price data into synthetic candles. It highlights these critical price areas as shaded boxes that adjust in real-time, providing traders with clear visual cues on where price might find support or resistance.
Key Features :
-Dynamic Zone Detection: Automatically identifies zones formed by consecutive grouped candles meeting customizable criteria.
-Aggregation Factor: Combine multiple bars into synthetic candles to reduce noise and emphasize significant price zones.
-Customizable Zone Length: Extend the zone boxes by a user-defined number of bars beyond the current price for enhanced visualization.
-Visual Styling: Fully customizable zone fill and border colors to suit your chart preferences.
-Zone Lifecycle Control: Option to terminate old zones to maintain a clean chart.
-Breakout Alerts: Trigger alerts when price breaks above or below confirmed zones, signaling potential trading opportunities.
Inputs :
-Minimum Candles to Form Zone: Sets how many consecutive synthetic candles must align to form a valid zone.
-Aggregation Factor: Defines how many bars are combined to create a synthetic candle.
-Zone Fill and Border Colors: Customize the appearance of zones on the chart.
-Terminate Old Zones: Enable or disable automatic removal of previous zones.
-Box Extension Bars: Number of bars the zone boxes extend beyond their detected range for better visibility.
How to Use :
1. Apply the Indicator : Add it to your chart on any timeframe or market (Forex, stocks, crypto).
2. Set Input : Adjust the minimum candles, aggregation factor, and box extension bars based on your trading style and timeframe. For example, higher aggregation smooths noise for longer-term zones.
3. Visualize Zones : Watch as the indicator dynamically draws shaded boxes representing areas of support and resistance. Zones will grow as price action confirms their strength.
4. Monitor Breakouts : Use breakout alerts to be notified when price decisively moves beyond a zone, providing signals for possible entries or exits.
5.Customize Appearance : Adjust colors and enable zone termination to keep your chart clear and focused.
This tool simplifies identifying important price levels, reducing manual analysis time and helping you make informed trading decisions.
Big Mover Catcher BTC 4h🧠 Big Mover Catcher (BTC 4H Strategy) — Educational Tool
⚠️ Disclaimer: I am not a financial advisor. This script is for educational and testing purposes only. Cryptocurrency trading is highly volatile and involves significant risk. You can lose all of your invested capital.
📌 Overview
The Big Mover Catcher strategy is a work-in-progress trading system designed for Bitcoin (BTC) on the 4-hour chart. It aims to identify strong breakout moves by combining multiple technical indicators and conditions, allowing for high customization and filter-based confirmations.
This script is part of a personal project to learn Pine Script and backtesting on TradingView. It is currently in the testing and research phase.
🎯 Strategy Objective
Catch large, high-momentum breakout moves in the BTC market using:
Bollinger Band breakouts for entry signals
Momentum, volatility, and trend filters for trade confirmation
🧰 Features & Filters
The script provides a flexible set of filters that can be turned ON/OFF and adjusted directly from the settings panel:
✅ Entry Conditions
Price must break above or below Bollinger Bands
All selected filters must align before entry
🧪 Available Filters:
Relative Strength Index (RSI) with EMA/SMA smoothing
Average Directional Index (ADX) with EMA/SMA smoothing
Average True Range (ATR) with EMA/SMA smoothing
MACD Signal above or below zero
EMA 350 trend filter
ATR / ADX / RSI Threshold toggles for added control
🔥 Additional Feature:
Force Take Profit: Optionally closes the trade immediately if a candle closes with more than a defined % movement (default: 5%). This can help lock in quick profits during high volatility moves.
⚙️ Customizable Inputs
You can configure:
Stop loss percentage
All indicator lengths
Smoothing types (EMA/SMA)
Threshold activation toggles
Individual filter ON/OFF switches
This makes the strategy highly adaptable for educational exploration and optimization.
📊 Best Used For
Learning Pine Script and strategy structure
Testing filter combinations for BTC on the 4H timeframe
Understanding how different indicators interact in live markets
⚠️ Note: ❌ Short trades are currently disabled by default, as short-side logic is still under development.
❗ Final Reminder
This script is not financial advice. It is an educational tool. Use it to learn and explore trading logic. Trading cryptocurrencies carries high risk — only invest what you can afford to lose.
RDBRB Strategy with Filters + Cooldowns + LabelsRDBRB Strategy with Filters + Cooldowns
This script implements the RDBRB (Rally-Drop-Base-Retest-Breakout) strategy, a classic price action setup designed to identify structured trade opportunities using volume, volatility bands, and trend alignment. It’s ideal for traders looking for clean, rule-based entries across any timeframe.
🧠 Core Components
Rally & Drop Detection
Identifies short-term momentum shifts using moving average crossovers:
✅ Ra = Rally (bullish crossover)
🔻 Dr = Drop (bearish crossunder)
Base Formation
A statistical base is defined using a moving average with a standard deviation envelope (Upper/Lower BB). This forms the foundation for breakout or retest setups.
Retest Zone (RT)
When price returns to the lower band (but stays below the base), it suggests a potential re-accumulation or reaction zone before a breakout.
Breakout Confirmation (BO)
A breakout is validated when:
Price crosses above the upper band
Volume exceeds the 20-bar average by a threshold multiplier
RSI is above a bullish momentum level
Price is trending above the longer-term EMA
⏱️ Smart Cooldown Logic
Each signal (Rally, Drop, Retest, Breakout) has an independent cooldown timer to prevent multiple triggers within a short range, filtering out noise and duplicate signals:
Customizable cooldown periods via input settings
Ensures signals are meaningful and not clustered
💡 Visual Markers
All signals are shown as small, color-coded labels:
Ra : Green label below bar
Dr : Red label above bar
RT : Yellow label below bar
BO : Green breakout label below bar
Bands and base are plotted for structure reference.
🛠️ Customizable Settings
Cooldown periods for each signal type
MA lengths, volume and RSI thresholds
Trend filter and base calculation inputs
This script is ideal for price action traders who want a clean, structured method to trade consolidations and trend continuations while avoiding over-signaling. Use it on any timeframe and combine with higher-timeframe confirmation for best results.
RTH Session Range Position (0-100) with EMAA Pine Script indicator designed to help traders understand where the current price is located within the Regular Trading Hours (RTH) session range, from 0 (session low) to 100 (session high). It also plots a smoothed EMA of this position to provide insight into momentum or trend during the RTH session.
What the Indicator Does
Defines RTH (Regular Trading Hours):
Start: 9:30 AM
End: 4:00 PM
These are typical US equity market hours.
Tracks the session's high and low during RTH:
sessionHigh and sessionLow update only during RTH.
Calculates position of the current price within the RTH range:
Formula: ((close - sessionLow) / (sessionHigh - sessionLow)) * 100
Result is a percentage:
0 = at session low
100 = at session high
50 = middle of session range
Calculates an EMA of that position (posEMA):
Smooths out the raw position to help visualize momentum within the range.
Plots and table:
Plots pos and posEMA on a separate chart pane.
Adds horizontal lines at key levels (0, 30, 50, 70, 100).
Table shows current values for Position, EMA, and Range.
Visual cues:
bgcolor highlights when pos crosses over or under the EMA — potential momentum shifts.
Alerts:
Cross above/below 50 (session midpoint).
Cross above/below EMA.
How to Use It Effectively
1. Session Strength & Momentum
Position above 70: Price is near session highs — strong upward momentum.
Position below 30: Price is near session lows — strong downward momentum.
Use the EMA of position to filter out noise and identify trends.
2. Breakout or Reversal Detection
Cross above EMA: Momentum may be turning bullish.
Cross below EMA: Momentum may be turning bearish.
These crosses (especially near mid-levels like 50) can hint at session trend shifts.
3. Range Context for Entries
If you're a mean-reversion trader, look for:
Price > 70 + turning down below EMA → possible short.
Price < 30 + turning up above EMA → possible long.
For breakout traders, you might wait for:
Crosses above 70 with EMA support.
Crosses below 30 with EMA resistance.
4. Confirmation Tool
Use this indicator alongside others to confirm:
Whether price action has strength within the day.
Whether breakouts have real momentum or are extended already.
RTH Session Highs & LowsA Pine Script indicator designed to track and plot the Regular Trading Hours (RTH) session highs and lows on a chart, typically for U.S. equity markets (e.g., S&P 500, Nasdaq, etc.), which operate from 9:30 AM to 4:00 PM Eastern Time.
Session High & Low Lines:
During the RTH session, the indicator draws green and red horizontal lines that represent the highest and lowest price seen so far within that trading session.
These levels help traders identify intraday support (low) and resistance (high) levels.
New High/Low Markers:
Small triangle markers are placed:
Above the bar when a new intraday high is made (green triangle).
Below the bar when a new intraday low is made (red triangle).
This visually flags when momentum may be building or reversing.
Intraday Strategy Support:
Use the session high/low as dynamic support/resistance for scalping or breakout strategies.
For example:
Breakouts above session highs may indicate bullish strength.
Breakdowns below session lows may suggest bearish momentum.
Mean Reversion Tactics:
Prices approaching these lines and then rejecting can be used for mean reversion setups.
Combine with volume or candlestick patterns for confirmation.
Risk Management:
Set stops or targets relative to session highs/lows.
For instance, use session high as a stop-loss level in a short position.
Volatility Gauge:
Tracking how frequently new highs/lows are formed can help assess intraday volatility or range expansion.
Complement with Indicators:
Combine this with our "McGinley Dynamic Channel with Directional Shading" indicator or our "EMA Crossover with Shading" indicator to add context to breakouts or rejections.
Market Map – AK_Trades📌 Market Map – AK_Trades
A real-time context engine designed to enhance your entries, exits, and overall trade confidence.
Built to complement any scalping or breakout strategy — or function as a reliable standalone guide.
🧠 What It Does:
📊 Detects market structure shifts
📍 Draws clean Support/Resistance zones (non-repainting)
🟥 Displays trend background shading + trend label
🚨 Flags breakouts, reversals, and invalidations
📈 Adds a real-time confidence ribbon for quick decision-making
🧭 LEGEND
Element Description
🟩🟥 Background Color Trend direction based on 21/50 EMA (green = uptrend, red = downtrend)
🟥🟩 Dashed Lines Dynamic support (green) and resistance (red) from pivot highs/lows
🔼 BREAKOUT ↑ Triggered only if price breaks key level + 0.25 ATR and volume confirms
🔽 BREAKDOWN ↓ Triggered only on valid breakdown with volume and trend alignment
🟡 Triangle (Up/Down) Reversal Warning – candle closes against current trend & EMAs
❌ Orange X Invalidation Marker – price reversed after breakout within 2 bars
📉 Confidence Strip (Green/Red) Shows strength/weakness of each bar based on trend and EMA proximity
🔤 UPTREND / DOWNTREND Trend label shown top-right of chart
⚠️ Notes:
Use this for bias confirmation, clean visual structure, and exit management.
Best paired with a high-conviction entry signal.
❗Disclaimer:
This script is for educational purposes only. It is not financial advice. Use at your own risk. The author assumes no responsibility for any trading losses incurred.
Trailing Cumulative Volume DeltaShort Description:
A dynamic volume delta indicator that calculates a trailing sum of net buying/selling pressure over a user-defined number of recent bars, offering a more adaptive view of order flow momentum compared to fixed-anchor CVD.
Overview:
The Trailing Cumulative Volume Delta (TCVD) indicator provides a powerful way to analyze market sentiment by tracking the net difference between buying and selling volume. Unlike traditional Cumulative Volume Delta (CVD) indicators that typically reset at fixed intervals (e.g., daily, weekly), the TCVD calculates a rolling sum of volume delta over a specified number of recent bars. This "trailing" approach offers a more fluid and responsive measure of recent order flow dynamics.
How it Works:
Per-Bar Delta Calculation: For each bar on your chart, the indicator first calculates the net Volume Delta. This is done by looking at a finer, user-configurable Lower Timeframe (e.g., 1-minute data for a 15-minute chart bar) to determine the aggressive buying vs. selling volume within that bar.
Trailing Sum: The indicator then sums these individual per-bar net deltas over a user-defined Trailing Bars lookback period. For example, if "Trailing Bars" is set to 20, the TCVD value will represent the cumulative net delta of the last 20 bars.
Visualization:
The TCVD is plotted in a "MACD-Columns-Style" in a separate pane.
Teal: When the TCVD value is increasing (suggesting growing net buying pressure or diminishing net selling pressure over the trailing period).
Red: When the TCVD value is decreasing (suggesting growing net selling pressure or diminishing net buying pressure over the trailing period).
White: When it is returning to the mean.
How to Interpret and Use TCVD:
Trend Strength & Momentum:
A rising TCVD suggests that, on average over the trailing period, buying pressure is dominant or strengthening. This can confirm bullish price action or indicate underlying strength.
A falling TCVD suggests that selling pressure is dominant or strengthening, potentially confirming bearish price action or indicating weakness.
Divergences:
Unlike other Divergences, the CVD has two different types of Divergences: a) Absorption and b) Exhaustion. You only want to trade the Absorption pattern.
Zero Line Crossovers:
TCVD crossing above the zero line can indicate a shift towards net positive buying pressure over the lookback period.
TCVD crossing below the zero line can indicate a shift towards net positive selling pressure.
Confirmation: Use TCVD to confirm breakouts or breakdowns. A price breakout accompanied by a strongly rising TCVD is generally more reliable.
Key Settings:
Trailing Bars: (Default: 10)
Determines the number of recent bars to include in the cumulative delta sum.
Shorter periods make the TCVD more responsive to immediate changes.
Longer periods provide a smoother, longer-term view of order flow.
Use custom timeframe: (Checkbox, Default: false)
Allows you to override the automatic selection of the lower timeframe for delta calculation.
Timeframe for Delta Calculation: (Default: "1" - 1 minute)
Specifies the lower timeframe data used to calculate the volume delta for each individual chart bar.
Choosing a very fine timeframe (e.g., seconds) can provide high precision but may be limited by data availability or processing load.
If "Use custom timeframe" is unchecked, the script attempts to choose a sensible default based on your chart's timeframe (e.g., "1S" for second charts, "1" for intraday, "5" for daily, "60" for weekly+).
Examples:
Confirming Breakout Strength:
Price breaks out above a significant resistance level.
If the TCVD is also sharply rising and has perhaps crossed above its zero line, it provides confirmation that strong buying interest is fueling the breakout, increasing confidence in its validity.
Important Notes:
This indicator requires reliable volume data from your broker/data feed to function correctly. If your chart does not have volume, or if the volume data is unreliable, the TCVD will not be accurate.
Like all indicators, TCVD is best used as part of a comprehensive trading strategy, in conjunction with price action analysis and other indicators or tools.
Experiment with the Trailing Bars and Timeframe for Delta Calculation settings to find what best suits your trading style, the asset you are analyzing, and the chart timeframe you are using.
Feel free to modify this, add your personal touch, or include specific screenshots when you publish!
Volume CandlesVolume Candles — Context-Aware Candle Color
Description:
This visual indicator colors your price candles based on relative volume intensity, helping traders instantly detect low, medium, and high volume activity at a glance. It supports two modes — Percentile Ranking and Volume Average — offering flexible interpretation of volume pressure across all timeframes.
It uses a 3-tiered color system (bright, medium, dark) with customizable tones for both bullish and bearish candles.
How It Works:
You can choose between two modes for volume classification:
Ranking Mode (Default):
Measures current volume’s percentile rank over a lookback period. Higher percentiles = stronger color intensity.
Percentile thresholds:
< 50% → light color (low volume)
50–80% → medium intensity
> 80% → high volume
Volume Average Mode:
Compares current volume against its simple moving average (SMA).
Volume thresholds:
< 0.5× SMA → light color
Between 0.5× and 1.5× → medium
> 1.5× → high intensity
Candle Paint:
Candles are colored directly on the chart, not in a separate pane. Bullish candles use green shades, bearish use red. All colors are fully customizable.
How to Interpret:
Bright Colors = High volume (potential strength or climax)
Muted/Transparent Colors = Low or average volume (consolidation, traps)
Example Use Cases:
Spot fakeouts with large price movement on weak volume (dark color)
Confirm breakout strength with bright candles
Identify stealth accumulation/distribution
Inputs & Settings:
Mode: Ranking Percentile or Volume Average
Lookback Period for ranking and SMA
Custom Colors for bullish and bearish candles at 3 intensity levels
Best For:
Price action traders wanting context behind each candle
Scalpers and intraday traders needing real-time volume feedback
Anyone using volume as a filter for entries or breakouts
Pro Tips:
Combine with Price Action, Bollinger Bands or VWAP/EMA levels to confirm breakout validity and intent behind a move.
Use alongside RSI/MACD divergences for high-volume reversal signals.
For swing trading, expand the lookback period to better normalize volume over longer trends.
Bollinger Band StrategyDescription of the Bollinger Band Breakout Strategy
This trading strategy, credited to Siddhart Bhanushali, is a momentum-based approach that uses Bollinger Bands and a 22-period Simple Moving Average (SMA) to identify high-probability breakout trades. It focuses on detecting periods of low volatility (contraction) followed by high volatility (expansion) to enter trades with a favorable risk-reward ratio. The strategy is designed to capture significant price movements in trending markets, with clear rules for entry, stop loss, and profit targets.
Strategy Overview
The strategy generates buy and sell signals based on specific conditions involving the 22-period SMA and Bollinger Bands. It aims to enter trades when the price breaks out of a consolidation phase, confirmed by the direction of the SMA and the behavior of a green or red candle relative to the Bollinger Bands. The minimum target for each trade is a 1:2 risk-reward ratio.
Credit
This strategy is credited to Siddhart Bhanushali, who designed it to leverage Bollinger Band breakouts in trending markets, providing a clear and systematic approach to trading with defined risk-reward parameters.
Q Impulse EntryQ Impulse Entry
A directional entry system combining impulse breakouts, Elder's momentum confirmation, and ADX trend validation. Designed for clean trade setups with multi-step filtering, entry markers, and real-time alerts.
🔧 Core Logic
This is not a basic mashup — each filter plays a distinct technical role:
1. Impulse Breakout Engine
• Detects sharp directional price breaks using ATR-adjusted dynamic zones
• Impulse window controls sensitivity to local highs/lows
2. Elder Momentum Filter
• Confirms signal using MACD histogram and EMA alignment
• Blocks entries when internal momentum contradicts price move
3. ADX Trend Strength Filter
• Uses threshold-based ADX logic to validate trend power
• Filters out noise in flat or weak markets
The system requires all three filters to agree before confirming an entry.
📈 Visual Feedback
• ⇑ / ⇓ arrows mark confirmed entry signals
• Colored entry dots plotted at signal price help confirm timing and aid in multi-position layering
• Impulse breakout zones and EMA are displayed for directional context
• Clean layout, no repainting, designed for real-time use
⚙️ Configurable Inputs
• Impulse Window — controls breakout signal sensitivity
• ATR Multiplier — defines width of impulse breakout zones
(Elder and ADX filters are embedded and fine-tuned)
✨ Highlights
• Triple-filter signal logic = fewer false positives
• Entry dots + arrows for visual clarity and scaling in
• Lightweight, non-repainting, and alert-ready
• Best suited for Forex and all timeframes
• Ideal for breakout, trend-following, or hybrid systems
• Built-in alerts and customizable zones
• Always apply risk management suited to your capital and strategy
Trade with clarity — stay for quality.
Minervini Trend Template (EMA)📄 Description:
This script is inspired by Mark Minervini’s SEPA (Specific Entry Point Analysis) strategy and adapts his famous Trend Template using Exponential Moving Averages (EMAs). It helps traders visually identify technically strong stocks that are in ideal buy conditions based on Minervini's rules.
📈 Strategy Logic:
This script scans for momentum breakouts by filtering stocks with the following characteristics:
✅ Buy Criteria (All Conditions Must Be Met):
Price above 50-day EMA
Price above 150-day EMA
Price above 200-day EMA
50-day EMA above 150-day EMA
150-day EMA above 200-day EMA
200-day EMA trending upward (greater than it was 20 days ago)
Price within 25% of its 52-week high
Price at least 30% above its 52-week low
If all 8 conditions are satisfied, the script triggers a SEPA Setup Signal. This is visually indicated by:
✅ A green background on the chart
✅ A label saying “SEPA Setup” under the bar
🛒 When to Buy:
Wait for the stock to break out above a recent base or consolidation pattern (like a cup-with-handle or flat base) on strong volume.
The ideal entry is within 5% of the breakout point.
Confirm that the SEPA conditions are met on the breakout day.
📉 When to Sell:
Place a stop-loss 5–8% below your entry price.
Exit if the breakout fails and price falls back below the pivot or the 50-day EMA.
Take partial profits after a 20–25% gain, and move your stop-loss up to breakeven or trail it using moving averages like the 21 or 50 EMA.
Exit fully if price closes below the 50-day or 150-day EMA on volume.
🧠 Why EMAs?
EMAs react faster to recent price action than SMAs, helping you catch earlier signals in fast-moving markets. This makes it especially useful for growth and momentum traders following Minervini’s high-performance approach.
📊 How to Use:
Apply the script to any stock chart (daily timeframe recommended).
Look for a green background + SEPA Setup label.
Combine with price/volume analysis, base patterns, and market context to time your entries.
🚨 Optional Alerts:
You can set an alert on the condition minerviniPass == true to notify you when a SEPA-compliant setup appears.
📚 This tool is meant for educational and research purposes. Always validate with your own due diligence and consult your risk plan before making any trades.
ORB-HL1. Opening Range Detection
Automatically calculates the high and low of the first 15 minutes after the selected session opens.
Supported sessions:
New York (Futures): 08:30–08:45 EST
New York (Equities): 09:30–09:45 EST
London: 03:00–03:15 GMT
Asia: 19:00–19:15 JST
Plots ORB high/low lines for the rest of the day.
2. Breakout Signals
Highlights the first valid breakout above or below the ORB range on the:
5-minute timeframe
15-minute timeframe
Green arrows = breakout up (long)
Red arrows = breakout down (short)
3. 1-Minute Projection
When a breakout is confirmed on a higher timeframe (5m or 15m), a projection label (e.g., "5m", "15m") appears on the 1-minute chart.
Purple label = 5m breakout
Teal label = 15m breakout
Helps you confirm momentum in real time while on the 1-minute chart.
4. Trailing Stop System
Uses ATR to create an adaptive trailing stop after breakout.
Turns green when price is above stop (bullish), red when below (bearish).
Optional Buy / Sell signal labels appear on crossover events.
5. Session High/Low Visualization
Tracks and displays the previous session’s High and Low for:
Tokyo
London
New York
Lines extend into the current session to act as S/R reference.
Labels like "NY High", "Asia Low" are placed at the end of each line.
6. Alerts
Built-in alerts for:
First 5m or 15m breakout (long/short)
Trailing stop Buy/Sell crossover
7. Customization Options
Turn session H/L lines on/off per session
Customize projection visibility
Adjust ATR period and sensitivity
Set how far each session line extends using bar offsets