Band-Zigzag - TrendFollower Strategy [Trendoscope]Strategy Time!!!
Have built this on my earlier published indicator Band-Zigzag-Trend-Follower . This is just one possible implementation of strategy on Band-Based-Zigzag .
🎲 Notes
Experimental prototype. Not financial advise and strategy not guaranteed to make money despite backtest results
Not created or tested for any specific instrument or timeframe
Test and adopt with own risk
🎲 Strategy
This is trend following strategy built based on Bands and Zigzag. Traits of trend following strategies are
Lower win rate (Yes, thats right)
High risk reward (Compensates low win rate)
Higher drawdown
If market is choppy, trend following methods suffer.
The script implements few points to overcome the negatives such as lower win rate and higher drawdown by actively assessing pivots on the direction of trend along. This helps us take regular profits and exit on time during the end of trend. Most of the other concepts are defined and explained in indicator - Band-Zigzag-Trend-Follower and Band-Based-Zigzag
Defining a trend following method is simple. Basic rule of trend following is Buy High and Sell Low (Yes, you heard it right). To explain further - methodology involve finding an established trend which is flying high and join the trend with proper risk and optimal stop. Once you get into the trade, you will not exit unless there is change in the trend. Or in other words, the parameters which you used to define trend has reversed and the trend is not valid anymore.
🎯 Using bands
When price breaks out of upper bands (example, Bollinger Band , Keltener Channel, or Donchian Channel), with a pre determined length and multiplier, we can consider the trend to be bullish and similarly when price breaks down the lower band, we can consider the trend to be bearish .
🎯 Using Pivots
Simple logic using zigzag or pivot points is that when price starts making higher highs and higher lows, we can consider this as uptrend. And when price starts making lower highs and lower lows, we can consider this as downtrend. There are few supertrend implementations I have published in the past based on zigzags and pivot points .
Drawbacks of both of these methods is that there will be too many fluctuations in both cases unless we increase the reference length. And if we increase the reference length, we will have higher drawdown.
🎯 Band Based Zigzag Method
Here we use bands to define our pivot high and pivot low - this makes sure that we are identifying trend only on breakouts as pivots are only formed on breakouts
Our method also includes pivot ratio to cross over 1.0 to be able to consider it as trend. This means, we are waiting for price also to make new high high or lower low before making the decision on trend. But, this helps us ignore smaller pivot movements due to the usage of bands.
I have also implemented few tricks such as sticky bands (Bands will not contract unless there is breakout) and Adaptive Bands (Band will not expand unless price is moving in the direction of band). This makes the trend following method very robust.
To avoid fakeouts, we also use percentB of high/low in comparison with price retracement to define breakout.
🎲 Settings
Settings are fairly simpler and are explained as below. You will find most of the required information in tooltips.
Cari dalam skrip untuk "break"
Smart Money Concepts (SMC) [LuxAlgo]This all-in-one indicator displays real-time market structure (internal & swing BOS / CHoCH), order blocks, premium & discount zones, equal highs & lows, and much more...allowing traders to automatically mark up their charts with widely used price action methodologies. Following the release of our Fair Value Gap script, we received numerous requests from our community to release more features in the same category.
"Smart Money Concepts" (SMC) is a fairly new yet widely used term amongst price action traders looking to more accurately navigate liquidity & find more optimal points of interest in the market. Trying to determine where institutional market participants have orders placed (buy or sell side liquidity) can be a very reasonable approach to finding more practical entries & exits based on price action.
The indicator includes alerts for the presence of swing structures and many other relevant conditions.
Features
This indicator includes many features relevant to SMC, these are highlighted below:
Full internal & swing market structure labeling in real-time
Break of Structure (BOS)
Change of Character (CHoCH)
Order Blocks (bullish & bearish)
Equal Highs & Lows
Fair Value Gap Detection
Previous Highs & Lows
Premium & Discount Zones as a range
Options to style the indicator to more easily display these concepts
Settings
Mode: Allows the user to select Historical (default) or Present, which displays only recent data on the chart.
Style: Allows the user to select different styling for the entire indicator between Colored (default) and Monochrome.
Color Candles: Plots candles based on the internal & swing structures from within the indicator on the chart.
Internal Structure: Displays the internal structure labels & dashed lines to represent them. (BOS & CHoCH).
Confluence Filter: Filter non-significant internal structure breakouts.
Swing Structure: Displays the swing structure labels & solid lines on the chart (larger BOS & CHoCH labels).
Swing Points: Displays swing points labels on chart such as HH, HL, LH, LL.
Internal Order Blocks: Enables Internal Order Blocks & allows the user to select how many most recent Internal Order Blocks appear on the chart.
Swing Order Blocks: Enables Swing Order Blocks & allows the user to select how many most recent Swing Order Blocks appear on the chart.
Equal Highs & Lows: Displays EQH/EQL labels on chart for detecting equal highs & lows.
Bars Confirmation: Allows the user to select how many bars are needed to confirm an EQH/EQL symbol on chart.
Fair Value Gaps: Displays boxes to highlight imbalance areas on the chart.
Auto Threshold: Filter out non-significant fair value gaps.
Timeframe: Allows the user to select the timeframe for the Fair Value Gap detection.
Extend FVG: Allows the user to choose how many bars to extend the Fair Value Gap boxes on the chart.
Highs & Lows MTF: Allows the user to display previous highs & lows from daily, weekly, & monthly timeframes as significant levels.
Premium/Discount Zones: Allows the user to display Premium, Discount, and Equilibrium zones on the chart
Usage
Users can see automatic CHoCH and BOS labels to highlight breakouts of market structure, which allows to determine the market trend. In the chart below we can see the internal structure which displays more frequent labels within larger structures. We can also see equal highs & lows (EQH/EQL) labels plotted alongside the internal structure to frequently give indications of potential reversals.
In the chart below we can see the swing market structure labels. These are also labeled as BOS and CHoCH but with a solid line & larger text to show larger market structure breakouts & trend reversals. Users can be mindful of these larger structure labels while trading internal structures as displayed in the previous chart.
Order blocks highlight areas where institutional market participants open positions, one can use order blocks to determine confirmation entries or potential targets as we can expect there is a large amount of liquidity at these order blocks. In the chart below we can see 2 potential trade setups with confirmation entries. The path outlined in red would be a potential short entry targeting the blue order block below, and the path outlined in green would be a potential long entry, targeting the red order blocks above.
As we can see in the chart below, the bullish confirmation entry played out in this scenario with the green path outlined in hindsight. As price breaks though the order blocks above, the indicator will consider them mitigated causing them to disappear, and as per the logic of these order blocks they will always display 5 (by default) on the chart so we can now see more actionable levels.
The Smart Money Concepts indicator has many other features and here we can see how they can also help a user find potential levels for price action trading. In the screenshot below we can see a trade setup using the Previous Monthly High, Strong High, and a Swing Order Block as a stop loss. Accompanied by the Premium from the Discount/Premium zones feature being used as a potential entry. A potential take profit level for this trade setup that a user could easily identify would be the 50% mark labeled with the Fair Value Gap & the Equilibrium all displayed automatically by the indicator.
Conclusion
This indicator highlights all relevant components of Smart Money Concepts which can be a very useful interpretation of market structure, liquidity, & more simply put, price action. The term was coined & popularized primarily within the forex community & by ICT while making its way to become a part of many traders' analysis. These concepts, with or without this indicator do not guarantee a trader to be trading within the presence of institutional or "bank-level" liquidity, there is no supporting data regarding the validity of these teachings.
Donchian Screener█ OVERVIEW
This is a screener script for the Donchian Channel indicator . It's an excellent indicator for trend following, a trading strategy which tries to take advantage of long, medium or short-term moves that seem to play out in various markets.
█ DESCRIPTION
The screener works by scanning through up to 10 symbols and list down symbols that are currently breaking through the upper or lower band as definied by the Donchian Channels, at which point the market signals the start of a bullish or bearish trend.
█ HOW TO USE
After adding the indicator, open the script settings and type the symbol name and length to be used on the Donchian Channels for each stock.
█ PARAMETERS
- Use High/Low Price Breakouts: check this box if you want to use price high/low instead of price close to identify breakouts
- Panel Position: choose whether you want to position the panel on the top, middle or bottom right side of the graph (default is top)
- Default Timeframe: what timeframe to use on the screener (default is daily)
- Ticker: the ticker name you want to monitor
- Length: length parameter used on Donchian Channel indicator
█ FEATURES
The screener can scan up to 10 symbols each time.
█ LIMITATIONS
The screener will scan the symbols breaking out bands on the current bar, and as such, there maybe some delays depending on the stock/ etf /crypto you choose. Some exchanges require an additional subscription to get realtime data.
Rate Of Change [SIDD]This Oscillator is helping identify rate of change in Price.
Basic Definition :-
The Rate of Change ( ROC ) is a momentum technical indicator.
It measures the percentage change in price between the current price and the price a certain number of periods ago.
This indicator is plotted against zero, with the indicator moving upwards into positive territory if price changes are to the upside, and moving into negative territory if price changes are to the downside.
Customization of inbuilt ROC:- I have created EMA of ROC with 9 days exponential moving average and Coloring the plot of 9 EMA of ROC Green and RED. Green line indicates that Price change rate is positive in last 9 time period on selected resolution (time frame) and Red line indicated that negative price change rate.
I have identified the zone like +5 and -5 line area in study where some resistance or support is there for 9 EMA ROC line. and if 9 EMA ROC crosses those line then intensity of previous trend get increased.
I have drawn here breakout trendline from lower high candle with hand mark up and same time ROC is above 5 marked with hand up. Similarly I have drawn hand mark down where breakdown trendline is drawn for higher low candle breakdown.
You can see clearly ROC 9 EMA is sync correctly with breakout and breakdown candle when ROC 9 EMA
is above 5 and below 5.
I able to observed that ROC 9 EMA is helping in finding correct breakout and breakdown candles with proper trendline breakout and breakdown.
above all my observation is with daily time frame and 1 Hr time frame candles mostly. If you are changing time frame then see the difference and post same in comment so I can watch those changes as well,
You can modify this study and lets create better than this as well. As I think nothing is perfect in this world always there is scope of improvement.
This study to see how the price are getting changing and what is the rate of change .
This study doesn't give any buy and sell recommendation.
I have other indicator which is given in my signature below that you can check.
EBB & Flow: a multi-EMA-based BB cloudIntro
This is an idea evolved out of the market maker method and EMA convergence, divergence, and mean reversion.
The market maker method informs us that the 5, 13, 50 and 200 EMAs are important to regulating price. Those EMA lengths are multiples of the 50 and 200 on lower major timeframes -- the 1 minute, 5, 15, 1H, 4H, 1D. I include the 21 because it is also a multiple and in crypto very often respected.
When market makers are testing price, they set their range and spike in the direction they test for liquidity. This can get chaotic. For instance, in a shorter time frame consolidation inside a bigger timeframe uptrend, it can be too easy to forget where you are in the many trends playing out.
When the EMAs are dragged over each other during normal price movement, you get these crisscrossing tracks of price, and the individual breaks can be hard to trace.
The range is what matters, ultimately, and the range is dynamic. In that case, the Bollinger Band is a great tool for detecting outliers in this case.
The Answer
So the answer this indicator seeks to give, is to look for outliers. This gives you a scalping strategy built on Traders Reality thinking and best put together with the PVSRA indicator, which I may include in this indicator just for the sake of concision, but they can work alongside each other or separately.
The key thing is the different EMA clouds, which are bollinger bands. Tight bands mean imminent breaks, favouring the trend. Vector candles out of a zone, pins to the low/high, etc. are all very relevant alongside this indicator.
You can also use it on its own and scalp the breaks of a cloud.
How it works
Each cloud is a standard deviation from their respective EMA, all in the same colour. The deviation multiple is 1.618 by default. Yes, fibonacci sequences are usually nonsense, but it works better with the BB than 2, 2.5 or 3.
Using just the clouds, you can see where each EMA is headed and how it behaves within the deviation of the others.
But that on its own isn't enough.
The indicator will also print snowflakes above and below the candle for notable outliers. It will be in the colour of the cloud it breaks, but only if that break is also breaking the smaller EMA clouds too.
The most snowflakes will be yellow because that's the 13 EMA. That one is dependent on nothing else and every break will print a snowflake. The 21 will be dependent on the 13. The 50 dependent on the 13 and 21 breaks. The 200 the most important.
For example, if the 200 EMA-BB or EBB is broken at the upper band, deviating by more than 162% of price over a 200 period EMA, and that break is not above the 50 EMA cloud, there will be no snowflake. However, if it exceeds the 13, 21, 50, and 200 clouds, then a purple snowflake will appear above the bar.
Any snowflake is an extreme in price. The purple is an especially good point of entry. That doesn't mean it is a perfect entry. You can build position from it, though, and be relatively certain of a price correction in the near future, because not only was this major EMA cloud violated, but all of the smaller ones too.
Reminder
You still need your PVSRA and candlesticks. This indicator on its own may have a nice hit rate for scalping and building position, as an alternative to the TDI or alongside it, but it is not enough on its own, just like the TDI.
Enjoy!
EdgeXplorer - Dynamic Price ActionEdgeXplorer – Dynamic Price Action
Dynamic Price Action by EdgeXplorer is a high-precision structural framework that detects and maps market structure shifts, liquidity zones, and sweep events in real time. Built for traders who prioritize price behavior over indicators, this suite intelligently interprets swing pivots, volatility ranges, and institutional footprints to surface key decision-making zones on your chart.
Whether you trade Smart Money Concepts (SMC), classical price action, or hybrid strategies, Dynamic Price Action helps you visualize where price is reacting, where it’s hunting stops, and when structure is shifting — without the noise.
⸻
🔍 What Does Dynamic Price Action Do?
This indicator tracks three core elements:
1. Market Structure Shifts – Bullish and bearish swing breaks (BOS and MSS)
2. Liquidity Zones – Dynamic detection of potential buy-side and sell-side liquidity pools
3. Sweep Events – Real-time detection when liquidity is taken out (aka stop hunts or raids)
It also contains logic for Order Block detection, giving you a foundational structure for further Smart Money analysis (note: OB visuals are currently off by default but fully supported).
⸻
⚙️ How It Works – Technical Breakdown
1. Market Structure (BOS / MSS)
• Detects swing highs and lows using a 3-bar pivot system
• When a valid swing is confirmed:
• A BOS (Break of Structure) line is drawn for bullish shifts
• An MSS (Market Structure Shift) line is drawn for bearish transitions
• Lines are plotted with customizable styles and optional labels
2. Liquidity Detection
• Liquidity zones are marked based on:
• Recent confirmed swing highs or lows
• ATR-based range check (swing must exceed Liquidity Sensitivity threshold)
• Post-swing candle direction (bullish or bearish close)
• Sell-Side Liquidity = swing highs likely containing stop clusters
• Buy-Side Liquidity = swing lows likely containing stop clusters
• Each zone is tagged visually and stored for later sweep checks
3. Sweep Recognition
• If price breaches a previously tagged liquidity level:
• A “Sell Sweep” label appears above the former sell-side zone
• A “Buy Sweep” label appears below the former buy-side zone
• Zones are removed after being swept to reduce clutter
4. Order Block Logic (Optional)
• The script includes full logic to detect bullish/bearish order blocks based on:
• Body-based or wick-based structure (user preference)
• Candle volume criteria
• Visuals are turned off for now but can be easily re-enabled
⸻
📈 What You See on the Chart
Visual Element Meaning
Green BOS Line Bullish break of market structure (higher high)
Red MSS Line Bearish shift in structure (lower low)
“Sellside Liquidity” Label Area above a swing high likely to hold resting liquidity
“Buyside Liquidity” Label Area below a swing low likely to hold resting liquidity
“Sell Sweep” Label A stop hunt above a prior high
“Buy Sweep” Label A stop hunt below a prior low
All elements are dynamically drawn, adapting to price behavior with zero repainting.
⸻
📊 Inputs & Settings Explained
Market Structures
Setting Description
Enable Market Structures Toggle BOS/MSS logic
Detection Mode Conceptual filter: Short-Term, Mid-Term, Long-Term (doesn’t affect logic)
Show Labels Display BOS and MSS labels above/below structure
Line Style Choose between Solid, Dashed, or Dotted
Bullish/Bearish Colors Customize line and label appearance
Liquidity Zones
Setting Description
Liquidity Sensitivity How large a swing must be (ATR multiplier) to qualify as a liquidity point
Order Blocks
Setting Description
Use Candle Body If true, OB zones are based on open/close instead of high/low
⸻
🧠 How Traders Can Interpret Dynamic Price Action
Structure-Based Bias:
• BOS = bullish structure continuing → look for long setups
• MSS = bearish structure breaking down → caution for reversals
Liquidity Zones:
• Price nearing a Sellside Liquidity zone? Watch for sweep + rejection
• Price tapping Buyside Liquidity? Look for absorption or reversal
Sweep Events:
• A Buy Sweep can signal accumulation
• A Sell Sweep can mark distribution or a trap breakout
Use sweeps as confirmation, trap detection, or entry filters.
⸻
🧪 Strategy Use Cases
• 🔍 Smart Money Concepts (SMC): Combine BOS/MSS + sweeps for refined CHoCH entries
• 🔄 Reversal Traders: Wait for sweep + structure shift before entering against prior trend
• 📉 Trend Continuation: Use BOS + liquidity clears to confirm direction
• 🎯 Scalping: Sweep zones act as high-probability entry areas on LTFs
Smart Volatility Squeeze + Trend Filter
Smart Volatility Squeeze + Trend Filter
This advanced indicator detects low-volatility squeeze conditions and plots breakout signals, helping you spot strong price moves before they happen.
How it works
This script combines Bollinger Bands (BB) and the Keltner Channel (KC) — two popular volatility tools — to identify squeeze setups:
A squeeze occurs when the Bollinger Bands contract and move completely inside the Keltner Channel. This means the market is quiet and volatility is low — often right before a significant breakout.
When the squeeze condition is active, the background highlights the chart area with a soft color that gradually intensifies the longer the squeeze lasts. This gives a clear visual cue that pressure is building.
A breakout signal triggers when price crosses above the upper Bollinger Band (bullish) or below the lower Bollinger Band (bearish) — confirming that the squeeze has ended and a new impulse is likely starting.
To reduce false breakouts, you can enable the built-in trend filter. By default, it uses a simple EMA: breakouts are confirmed only if the price action aligns with the overall trend direction.
Key features
🔹 Bollinger Bands + Keltner Channel squeeze detection
🔹 Automatic squeeze marker and background shading
🔹 Breakout arrows for up and down signals
🔹 Optional trend filter with adjustable EMA length
🔹 Works on any market: crypto, stocks, forex, indices
🔹 Fully adjustable inputs for BB, KC and trend filter
🔹 Built-in ready-to-use alerts for breakouts
How to use
Watch for areas where the squeeze condition appears — the background will highlight them.
Wait for a breakout arrow to appear outside the bands.
Use the trend filter to focus only on breakouts in the dominant trend direction.
Combine with your existing risk management and confirmation tools.
Inputs
BB Length & StdDev: Control the Bollinger Bands settings.
KC EMA Length & ATR Multiplier: Control the Keltner Channel width.
Trend Filter Length: Adjust how smooth or sensitive the trend filter is.
Use Trend Filter: Enable or disable confirmation by trend direction.
Disclaimer
⚠️ This script is for educational purposes only and does not constitute financial advice. Always test any strategy thoroughly and trade at your own risk.
EdgeXplorer - Phantom FlowPhantom Flow by EdgeXplorer
Phantom Flow is a high-precision, visual market structure toolkit inspired by core ICT (Inner Circle Trader) concepts — including Order Blocks (OBs), Fair Value Gaps (FVGs), Market Structure Shifts (MSS), Liquidity Zones, Killzones, and Balance Price Ranges (BPRs). Designed for real-time clarity and SMC-aligned trading, this tool enhances raw ICT theory with practical execution features: extended zone logic, session filters, and pivot-sensitive rendering.
Whether you’re swing trading on HTF or scalping intraday moves in New York or London, Phantom Flow gives you a clean, structured lens through which to interpret price behavior — without clutter or noise.
⸻
🔍 What Does Phantom Flow Do?
This indicator maps out multiple price action phenomena in one system. It detects and plots:
• Order Blocks (OBs) — potential institutional footprints
• Fair Value Gaps (FVGs) — inefficiencies or imbalance zones
• Market Structure Shifts (MSS) — directional break points
• Liquidity Zones — buy-side and sell-side wick traps
• Balance Price Ranges (BPRs) — overlap zones from opposing FVGs
• Killzones (Sessions) — session-specific high-probability windows
Each element is toggleable, color-coded, and drawn directly on the chart, creating an intuitive visual environment to identify potential setups or confirm directional bias.
⸻
⚙️ How It Works – Technical Breakdown
1. Pivot Engine
Phantom Flow uses ta.pivothigh() and ta.pivotlow() with a configurable lookback period to establish reactive swing points for structure and liquidity logic.
2. Market Structure Shifts (MSS)
MSS logic checks for breaks above prior highs or below prior lows:
• If price closes above a previous pivot high, it flags a bullish MSS.
• If price closes below a previous pivot low, it flags a bearish MSS.
Each MSS is marked with a line and label at the structure break.
3. Order Blocks (OBs)
When a swing high or low is confirmed:
• A bearish OB is plotted between the open and high of the pivot bar.
• A bullish OB is plotted between the low and open of the pivot bar.
OB zones are drawn as transparent boxes that project forward several candles.
4. Fair Value Gaps (FVGs)
Imbalance zones are defined when:
• A bullish FVG occurs if the current low is above the high from two candles ago, and price closed bullish.
• A bearish FVG occurs if the current high is below the low from two candles ago, and price closed bearish.
These are visualized as boxes with “FVG” labels.
5. Balance Price Ranges (BPRs)
If both a bullish and bearish FVG overlap in the same bar:
• A gray BPR box is plotted to represent the zone where those inefficiencies cancel or compress into a range.
Useful for tracking potential accumulation or consolidation.
6. Liquidity Zones (Wick Detection)
Using ATR-based wick thresholds:
• Buy-side Liquidity is identified where long lower wicks form beneath pivot lows.
• Sell-side Liquidity is identified where long upper wicks form above pivot highs.
These zones indicate where stop hunts or liquidity grabs may occur.
7. Killzones (Sessions)
Two sessions are visualized using background colors:
• New York Killzone (default: 7:00–9:00 EST) — yellow background
• London Killzone (default: 2:00–5:00 GMT) — blue background
Sessions are dynamically aligned with your chart’s timeframe and location.
⸻
📈 What Each Visual Element Represents
Element Meaning
Green OB Box Bullish order block (potential demand zone)
Red OB Box Bearish order block (potential supply zone)
Teal FVG Box Bullish fair value gap (imbalance to the upside)
Maroon FVG Box Bearish fair value gap (imbalance to the downside)
Gray BPR Box Balance price range — compression of opposing gaps
Blue Liquidity Zone Buy-side liquidity below a swing low
Orange Liquidity Zone Sell-side liquidity above a swing high
Lime Line + Label Bullish Market Structure Shift (MSS ↑)
Fuchsia Line + Label Bearish Market Structure Shift (MSS ↓)
Yellow / Blue Background Killzone time blocks for NY or London
All shapes are bounded in time and logic — there are no arbitrary plots.
⸻
📊 Inputs & Settings Explained
Input Description
Execution Mode (Live / Backtest) Determines whether to run real-time or backtest-friendly calculations
Pivot Sensitivity (lookback) Controls how far back to look for pivots — higher values = stronger swing filters
Show MSS Toggle to display Market Structure Shift lines and labels
Show OB Toggle to display Order Block zones from swing points
Show FVG Toggle to visualize Fair Value Gaps as they appear
Show Liquidity Zones Displays wick-based buy/sell-side liquidity traps
Show BPR Zones Highlights overlapping bullish and bearish FVGs as compression zones
Show Killzones Enables session-based background highlighting for NY/London
Color Settings
Customize each visual element with transparency-controlled colors for OBs, FVGs, MSS lines, liquidity zones, and killzones.
⸻
🧠 How Traders Can Use Phantom Flow
Phantom Flow is not a signal generator. It’s a market narrative visualizer. Here’s how to integrate it into your approach:
• OB + FVG = Confluence: Look for fair value gaps forming around order blocks. These often suggest institutional entry zones.
• MSS + Liquidity = Trap Setup: Market structure shifts occurring after price taps liquidity often signal reversals or fakeouts.
• BPRs = Choke Points: If opposing FVGs compress, expect consolidation or expansion shortly after.
• Killzones = Context Windows: Use sessions to filter signal quality. For example, only trade FVGs during the London/NY overlap.
This tool works best when layered with:
• BOS/CHOCH detection
• Premium/Discount logic
• Risk-based execution models
⸻
🧪 Optional Use Case Ideas
• Intraday scalping based on NY/London killzone + MSS
• Swing trading off HTF OB + LQ zones
• Fade or trend-continuation setups using FVGs + BPR
• Combine with displacement candles or volume to validate zones
Momentum_EMABandThe Momentum EMA Band V1 is a precision tool designed for intraday traders & scalpers. This is the first version of the script, combining three powerful technical elements to help traders identify directional moves while filtering out weak, choppy market phases.
🔧 How the Indicator Works — Combined Logic
This indicator merges well-known but distinct concepts into a unified visual framework:
1️⃣ EMA Price Band — Dynamic Zone Visualization
Plots upper and lower EMA bands based on user input (default: 9-period EMA).
Price relative to the bands provides immediate visual cues:
Green Band: Price above the upper EMA — bullish strength.
Red Band: Price below the lower EMA — bearish pressure.
Yellow Band: Price within the band — neutral zone.
2️⃣ Supertrend Overlay — Reliable Trend Confirmation
ATR-based Supertrend logic (customizable ATR length & factor).
Green Supertrend Line: Uptrend confirmation.
Red Supertrend Line: Downtrend confirmation.
Helps traders ride trends with dynamic levels that adjust to volatility.
3️⃣ ADX-Based No Trade Zone — Choppy Market Filter
Manual ADX calculation measures trend strength (default ADX length: 14).
When ADX is below a user-defined threshold (default: 20) and price is within the EMA Band buffer, a gray background highlights sideways or indecisive market conditions — suggesting no new trade or low momentum zone
Optional gray triangle marker shows the start of each No-Trade Zone phase.
🎯 Key Features
✅ Combines EMA Bands, Supertrend & ADX filtering for comprehensive market context.
✅ Visual No-Trade Zone shading keeps traders out of low-probability setups.
✅ Supertrend Line tracks evolving trend bias.
✅ Fully customizable — adjust EMA, ATR, ADX settings to match different instruments or styles.
✅ Clean, focused chart presentation for easy interpretation.
💡 Practical Application
Momentum Breakouts: Enter trades when price breaks beyond the EMA Band, with Supertrend confirmation.
Avoid Sideways Traps: Refrain from trading during gray-shaded No-Trade Zones, minimizing exposure to whipsaws.
Scalping & Intraday Edge: Particularly effective on lower timeframes where choppy periods are common.
⚠️ Important Disclaimer
This is Version 1 — future versions may expand on features based on trader feedback.
This script is for educational purposes only. Always combine with risk management and thorough strategy validation.
No indicator guarantees profitability — use this tool as part of a broader trading system.
Liquidity Sweeps [SB1]Liquidity Sweeps
This indicator detects liquidity sweep events where price briefly breaks above or below recent swing points before reversing. These sweeps often occur during stop hunts, fakeouts, or liquidity grabs, and are commonly used by smart money traders to trap breakout participants before reversing direction.
🔍 What It Does
Identifies key swing highs and lows based on user-defined pivot strength.
Detects:
Bearish Sweeps: Price breaks a recent high but fails to close above it.
Bullish Sweeps: Price breaks a recent low but fails to close below it.
Tracks whether these sweeps are simply wicks, full breakouts and retests, or a combination of both.
Highlights these zones with boxes and labels to signal high-probability reversal or reaction zones.
🧠 Why Use It
Liquidity sweeps are often used by institutions and large players to trigger stops and create movement. Detecting these events helps traders:
Avoid chasing false breakouts
Time entries around exhaustion or reversal points
Align trades with Smart Money Concepts (SMC), ICT principles, or Order Block Theory
Avoid chasing false breakouts
Time entries around exhaustion or reversal points
Align trades with Smart Money Concepts (SMC), ICT principles, or Order Block Theory
⚙️ Settings & Customization
Swings: Adjusts the sensitivity of swing high/low detection.
Detection Type:
Only Wicks: Detects when a wick pierces a level but closes back inside.
Only Outbreaks & Retests: Detects when a candle breaks out and later retests.
Wicks + Outbreaks & Retests: Shows both types for full coverage.
Extend Zones: Draws boxes across future bars until invalidation.
Colors: Fully customizable for bullish and bearish sweeps.
🧬 Original Enhancements
This script is based on open-source work by LuxAlgo and has been significantly enhanced with:
Multiple detection modes
Real-time alert support📣 📣
Efficient pivot memory cleanup📣 📣
Sweep zone auto-extension until broken
Improved visual clarity with dotted/dashed lines, and color-coded boxes
✅ Note: The original version had no alerts. This version adds real-time detection alerts for practical trading use. Credit: Original swing detection logic inspired by LuxAlgo’s open-source Liquidity Sweep framework. This version is extended and modified under the terms of the CC BY-NC-SA 4.0 license.
📣 📣 Alerts Included📣📣
🔼 Bullish Wick Sweep📣
🔽 Bearish Wick Sweep📣
These alerts allow traders to be notified the moment a liquidity sweep occurs, providing immediate edge for reactive or anticipatory trading.
📈 How to Use It
Add to your chart.
Choose the detection type based on your trading style:
Wicks for reversals and stop hunts
Outbreaks for failed breakouts or retests
Wait for sweep zones to form and monitor price behavior around them.
Use in conjunction with:
Fair Value Gaps (FVG)
Order Blocks
VWAP Anchors
Market Structure Breaks/ Breaks of structures
Gabriel's Andean Oscillator📈 Gabriel's Andean Oscillator — Enhanced Trend-Momentum Hybrid
Gabriel's Andean Oscillator is a sophisticated trend-momentum indicator inspired by Alex Grover’s original Andean Oscillator concept. This enhanced version integrates multiple envelope types, smoothing options, and the ability to track volatility from both open/close and high/low dynamics—making it more responsive, adaptable, and visually intuitive.
🔍 What It Does
This oscillator measures bullish and bearish "energy" by calculating variance envelopes around price. Instead of traditional momentum formulas, it builds two exponential variance envelopes—one capturing the downside (bullish potential) and the other capturing the upside (bearish pressure). The result is a smoothed oscillator that reflects internal market tension and potential breakouts.
⚙️ Key Features
📐 Envelope Types:
Choose between:
"Regular" – Uses single EMA-based smoothing on open/close variance. Ideal for shorter timeframes.
"Double Smoothed" – Adds an extra layer of smoothing for noise reduction. Ideal for longer timeframes.
📊 Bullish & Bearish Components:
Bull = Measures potential upside using price lows (or open/close).
Bear = Measures downside pressure using highs (or open/close).
These can optionally be derived from high/low or open/close for flexible interpretation.
📏 Signal Line:
A customizable EMA of the dominant component to confirm momentum direction.
📉 Break Zone Area Plot:
An optional filled area showing when bull > bear or vice versa, useful for detecting expansion/contraction phases.
🟢 High/Low Overlay Option (Use Highs and Lows?):
Visualize secondary components derived from high/low prices to compare against the open/close dynamics and highlight volatility asymmetry.
🧠 How to Use It
Trend Confirmation:
When bull > bear and rising above signal → bullish bias.
When bear > bull and rising above signal → bearish bias.
Breakout Potential:
Watch the Break area plot (√(bull - bear)) for rapid expansion, signaling volatility bursts or directional moves.
High/Low Envelope Divergence:
Enabling the high/low comparison reveals hidden strength or weakness not visible in open/close alone.
🛠 Customizable Inputs
Envelope Type: Regular vs. Double Smoothed
EMA Envelope Lengths: For both regular and smoothed logic
Signal Length: Controls EMA smoothing for the signal
Use Highs and Lows?: Toggles second set of envelopes; the original doesn't include highs and lows.
Plot Breaks: Enables the filled “break” zone area, the squared difference between Open and Close.
🧪 Based On:
Andean Oscillator - Alpaca Markets
Licensed under CC BY-NC-SA 4.0
Developed by Gabriel, based on the work of Alex Grover
Turtle Strategy Pullback EntryThis strategy, titled “Turtle Strategy Pullback Entry”, is a trend-following system designed to capture breakouts more efficiently by entering after a slight pullback. Instead of buying immediately when the price breaks the 20-day high, the strategy waits for the price to pull back by 1% below that high, offering a better entry point and reducing the chances of false breakouts. Once the pullback level is reached, a long position is initiated. The trade is then managed using three exit conditions: it will close if the price drops 1.4% below the entry (acting as a stop loss), if the price rises 1.8% above the entry (taking profit), or if the price closes below the 20-day low, which serves as a trend invalidation signal. The position size is based on 100% of the equity by default, and the chart visually shows the 20-day high, low, and pullback level along with a green background when a position is active. This approach helps traders ride strong trends while avoiding premature entries, making it suitable for swing or position trading across stocks, forex, or crypto markets.
Rolling VWAP LevelsRolling VWAP Levels Indicator
Overview
Dynamic horizontal lines showing rolling Volume Weighted Average Price (VWAP) levels for multiple timeframes (7D, 30D, 90D, 365D) that update in real-time as new bars form.
Who This Is For
Day traders using VWAP as support/resistance
Swing traders analyzing multi-timeframe price structure
Scalpers looking for mean reversion entries
Options traders needing volatility bands for strike selection
Institutional traders tracking volume-weighted fair value
Risk managers requiring dynamic stop levels
How To Trade With It
Mean Reversion Strategies:
Buy when price is below VWAP and showing bullish divergence
Sell when price is above VWAP and showing bearish signals
Use multiple timeframes - enter on shorter, confirm on longer
Target opposite VWAP level for profit taking
Breakout Trading:
Watch for price breaking above/below key VWAP levels with volume
Use 7D VWAP for intraday breakouts
Use 30D/90D VWAP for swing trade breakouts
Confirm breakout with move beyond first standard deviation band
Support/Resistance Trading:
VWAP levels act as dynamic support in uptrends
VWAP levels act as dynamic resistance in downtrends
Multiple timeframe VWAP confluence creates stronger levels
Use standard deviation bands as additional S/R zones
Risk Management:
Place stops beyond next VWAP level
Use standard deviation bands for position sizing
Exit partial positions at VWAP levels
Monitor distance table for overextended moves
Key Features
Real-time Updates: Lines move and extend as new bars form
Individual Styling: Custom colors, widths, styles for each timeframe
Standard Deviation Bands: Optional volatility bands with custom multipliers
Smart Labels: Positioned above, below, or diagonally relative to lines
Distance Table: Shows percentage distance from each VWAP level
Alert System: Get notified when price crosses VWAP levels
Memory Efficient: Automatically cleans up old drawing objects
Settings Explained
Display Group: Show/hide labels, font size, line transparency, positioning
Individual VWAP Groups: Color, line width (1-5), line style for each timeframe
Standard Deviation Bands: Enable bands with custom multipliers (0.5, 1.0, 1.5, 2.0, etc.)
Labels Group: Position (8 options including diagonal), custom text, price display
Additional Info: Distance table, alert conditions
Technical Implementation
Uses rolling arrays to maintain sliding windows of price*volume data. The core calculation function processes both VWAP and standard deviation efficiently. Lines are created dynamically and updated every bar. Memory management prevents object accumulation through automatic cleanup.
Best Practices
Start with 7D and 30D VWAP for most strategies
Add 90D/365D for longer-term context
Use standard deviation bands when volatility matters
Position labels to avoid chart clutter
Enable distance table during high volatility periods
Set alerts for key VWAP level breaks
Market Applications
Forex: Major pairs during London/NY sessions
Stocks: Large cap names with good volume
Crypto: Bitcoin, Ethereum, major altcoins
Futures: ES, NQ, CL, GC with continuous volume
Options: Use SD bands for strike selection and volatility assessment
Step Channel Momentum Trend [ChartPrime]OVERVIEW
Step Channel Momentum Trend is a momentum-based price filtering system that adapts to market structure using pivot levels and ATR volatility. It builds a dynamic channel around a stepwise midline derived from swing highs and lows. The system colors price candles based on whether price remains inside this channel (low momentum) or breaks out (strong directional flow). This allows traders to clearly distinguish ranging conditions from trending ones and take action accordingly.
⯁ STRUCTURAL MIDLNE (STEP CHANNEL CORE)
The midline acts as the backbone of the trend system and is based on structure rather than smoothing.
Calculated as the average of the most recent confirmed Pivot High and Pivot Low.
The result is a step-like horizontal line that only updates when new pivot points are confirmed.
This design avoids lag and makes the line "snap" to recent structural shifts.
It reflects the equilibrium level between recent bullish and bearish control.
This unique step logic creates clear regime shifts and prevents noise from distorting trend interpretation.
⯁ DYNAMIC VOLATILITY BANDS (ATR FILTERING)
To detect momentum strength, the script constructs upper and lower bands using the ATR (Average True Range):
The distance from the midline is determined by ATR × multiplier (default: 200-period ATR × 0.6).
These bands adjust dynamically to volatility, expanding in high-ATR environments and contracting in calm markets.
The area between upper and lower bands represents a neutral or ranging market state.
Breakouts outside the bands are treated as significant momentum shifts.
This filtering approach ensures that only meaningful breakouts are visually emphasized — not every candle fluctuation.
⯁ MOMENTUM-BASED CANDLE COLORING
The system visually transforms price candles into momentum indicators:
When price (hl2) is above the upper band, candles are green → bullish momentum.
When price is below the lower band, candles are red → bearish momentum.
When price is between the bands, candles are orange → low or no momentum (range).
The candle body, wick, and border are all colored uniformly for visual clarity.
This gives traders instant feedback on when momentum is expanding or fading — ideal for breakout, pullback, or trend-following strategies.
⯁ PIVOT-BASED SWING ANCHORS
Each confirmed pivot is plotted as a label ⬥ directly on the chart:
They also serve as potential manual entry zones, SL/TP anchors, or confirmation points.
⯁ MOMENTUM STATE LABEL
To reinforce the current market mode, a live label is displayed at the most recent candle:
Displays either:
“ Momentum Up ” when price breaks above the upper band.
“ Momentum Down ” when price breaks below the lower band.
“ Range ” when price remains between the bands.
Label color matches the candle color for quick identification.
Automatically updates on each bar close.
This helps discretionary traders filter trades based on market phase.
USAGE
Use the green/red zones to enter with momentum and ride trending moves.
Use the orange zone to stay out or fade ranges.
The step midline can act as a breakout base, pullback anchor, or bias reference.
Combine with other indicators (e.g., order blocks, divergences, or volume) to build high-confluence systems.
CONCLUSION
Step Channel Momentum Trend gives traders a clean, adaptive framework for identifying trend direction, volatility-based breakouts, and ranging environments — all from structural logic and ATR responsiveness. Its stepwise midline provides clarity, while its dynamic color-coded candles make momentum shifts impossible to miss. Whether you’re scalping intraday momentum or managing swing entries, this tool helps you trade with the market’s rhythm — not against it.
Ultimate Regression Channel v5.0 [WhiteStone_Ibrahim]Ultimate Regression Channel v5.0: Comprehensive User Guide
This indicator is designed to visualize the current trend, potential support/resistance levels, and market volatility through a statistical analysis of price action. At its core, it plots a regression line (a trend line) based on prices over a specific period and adds channels based on standard deviation around this line.
1. Core Features and Settings
Length Mode:
Numerical (Manual): You define the number of bars to be used for the regression channel calculation. You can use lower values (e.g., 50-100) for short-term analysis and higher values (e.g., 200-300) to identify long-term trends.
Automatic (Based on Market Structure): This mode automatically draws the channel starting from the highest high or lowest low that has formed within the Auto Scan Period. This allows the indicator to adapt itself to significant market turning points (swing points), which is highly useful.
Regression Model:
Linear: Calculates the trend as a straight line. It generally works well in stable, short-to-medium-term trends.
Logarithmic: Calculates the trend as a curved line. It more accurately reflects price action, especially on long-term charts or for assets that experience exponential growth/decline (like cryptocurrencies or growth stocks).
Channel Widths:
These settings determine how far from the central trend line (in terms of standard deviations) the channels will be drawn.
The 0 (Inner), 1 (Middle), and 2 (Outer) channels represent the "normal" range of price movement and the "extreme" zones. Statistically, about 95% of all price action occurs within the outer channels (2nd standard deviation).
2. Visual Extras and Their Interpretation
Breakout Style:
This feature alerts you when the price closes above the uppermost channel (Channel 2) with a green arrow/background or below the lowermost channel with a red arrow/background.
This is a very important signal. A breakout can signify that the current trend is strengthening and likely to continue (a breakout/trend-following strategy) or that the market has become overextended and may be due for a reversal (an exhaustion/top-bottom signal). It is critical to confirm this signal with other indicators (e.g., RSI, Volume).
Info Label:
This provides an at-a-glance summary of the channel on the right side of the chart:
Trend Status: Identifies the trend as "Uptrend," "Downtrend," or "Sideways" based on the slope of the centerline. The Horizontal Threshold setting allows you to filter out noise by treating very small slopes as "Sideways."
Regression Model and Length: Shows your current settings.
Trend Slope: A numerical value representing how steep or weak the trend is.
Channel Width: Shows the price difference between the outermost channels. This is a measure of current volatility. A widening channel indicates increasing volatility, while a narrowing one indicates decreasing volatility.
3. What Users Should Pay Attention To & Best Practices
Define Your Strategy: Mean Reversion or Breakout?
Mean Reversion: If the market is in a ranging or gently trending phase, the price will tend to revert to the centerline after hitting the outer channels (overbought/oversold zones). In this case, the outer channels can be considered opportunities to sell (upper channel) or buy (lower channel).
Breakout: If a strong trend is in place, a price close beyond an outer channel can be a sign that the trend is accelerating. In this scenario, one might consider taking a position in the direction of the breakout. Correctly analyzing the current market state (ranging vs. trending) is key to deciding which strategy to employ.
Don't Use It in Isolation: No indicator is a holy grail. Use the Regression Channel in conjunction with other tools. Confirm signals with RSI divergences for overbought/oversold conditions, Moving Averages for the overall trend direction, or Volume indicators to confirm the strength of a breakout.
Choose the Right Model: On shorter-term charts (e.g., 1-hour, 4-hour), the Linear model is often sufficient. However, on long-term charts like the daily, weekly, or monthly, the Logarithmic model will provide much more accurate results, especially for assets with parabolic movements.
The Power of Automatic Mode: The Automatic length mode is often the most practical choice because it finds the most logical starting point for you. It saves you the trouble of adjusting settings, especially when analyzing different assets or timeframes.
Use the Alerts: If you don't want to miss the moment the price touches a key channel line, set up an alert from the Alert Settings section for your desired line (e.g., only the "Outer Channels"). This helps you catch opportunities even when you are not in front of the screen.
SHA Multi Pivot Points -v1.0.0🔎Using Pivot Points in Trading
Traders use PPs to help determine predefined support and resistance levels to guide their trading strategies. In addition, traders identify potential price reversals, trend direction, and breakout opportunities:
Trend identification: PPs act as a reference level to gauge market sentiment. If the price opens above the PP and remains above it, traders interpret this as an uptrend. Conversely, if the price opens below the pivot point and stays below, it suggests a downtrend.
Support and resistance determination: Pivot levels are natural barriers where price reactions frequently occur. Traders may enter long positions near support levels, expecting a price bounce, or if the price approaches resistance levels, traders may consider shorting the asset.
Breakout trading: When the price breaks above resistance or support, it may indicate strong momentum for further movement.
Reversal identification: Traders also look for failed breakouts or price rejections at pivot levels to anticipate reversals.
Trading strategy combinations: Traders can improve accuracy by combining PPs with other technical analysis indicators.
1. Camarilla Pivot Points
📌 Overview:
Developed by Nick Scott in 1989, Camarilla Pivot Points are designed for short-term, intraday trading. Unlike traditional pivots, Camarilla levels are tighter and more responsive, making them useful in volatile markets.
📐 Key Levels:
It generates eight levels:
- Resistance: Initial Level (R1), Mid-range Level (R2), Sell Reversal Level (R3), Breakout Level (R4)
- Support: Initial Level (S1), Mid-range Level (S2), Buy Reversal Level (S3), Breakout Level (S4)
✅ How to Use:
- S1/R1 + RSI or volume divergence to confirm weak momentum and early reversals.
- S2/R2 with price action patterns to enter early on major moves before L3/H3 get tested.
- S3/R3: Mean-reversion zones → price often reverses.
- Break of S4/R4: Strong breakout → trend-following signal.
- Combine with volume or candlestick confirmation for entries.
🔹 2. Floor (Standard) Pivot Points
📌 Overview:
This is the most traditional pivot method, widely used by floor traders. It’s symmetrical and provides a clear central pivot point with equally spaced support and resistance levels.
📐 Key Levels:
- Povit Points : Average price (PPs)
- Resistance : First price ceiling (R1), Stronger ceiling (R2), Extreme resistance (R3)
- Support : First price floor (S1), Stronger floor (S2), Extreme support (S3)
✅ How to Use:
- Above PPs = bullish bias; Below PPs = bearish bias.
- S1/R1 are most used for intraday targets.
- S2–S3/R2–R3 indicate potential extreme moves.
- Often used in combination with momentum indicators.
🔹 3. Woodie Pivot Points
📌 Overview:
Woodie’s pivot formula gives double weight to the closing price, emphasizing the most recent session's sentiment.
📐 Key Levels:
- Povit Points : Weighted average (PPs)
- Resistance : First price ceiling (R1), Stronger resistance (R2)
- Support : First price floor (S1), Stronger support (S2)
✅ How to Use:
- Works best in fast-moving markets.
- PPs acts as a momentum-based balance level.
- Good for scalpers and momentum traders.
🔹 4. Fusion Pivot Points
📌 Overview:
This method differs significantly — it calculates only one support and one resistance level, adjusting based on the relationship between the open and close.
📐 Key Levels:
- Povit Points : Single directional (PPs)
- Resistance : Potential ceiling (R)
- Support : Potential floor (S)
✅ How to Use:
- Not symmetrical → more responsive to price behavior.
- Best for breakout or reversal strategies.
- Use when you're expecting directional momentum.
🔹 5. Classic Pivot Points (Traditional)
📌 Overview:
Also known as Standard or Traditional Pivot Points, this is the default method used by most charting platforms. It offers a balanced and simple framework.
📐 Key Levels:
- Povit Points : Central price level (PPs)
- Resistance : First ceiling (R1), Stronger resistance (R2), Extreme resistance (R3)
- Support : First floor (S1), Stronger floor (S2), Extreme support (S3)
✅ How to Use:
- PPs is the market’s equilibrium point.
- Helps define market structure, bias, and trade zones.
- Combine with order blocks, RSI, or MACD for confirmation.
📊 Summary Comparison :
1. Camarilla Pivot Points
- Focus : Mean Reversion & Breakouts
- Best Use : Scalping, Day Trading
2. Floor Pivot Points
- Focus : General Support/Resistance
- Best Use : Intraday, Swing
3. Woodie Pivot Points
- Focus : Recent Close Emphasis
- Best Use : Momentum Trading
4. Fusion Pivot Points
- Focus : Trend/Breakout
- Best Use : Directional Breakouts
5. Classic Povit Points
- Focus : Market Structure
- Best Use : General Use
⚠️ Disclaimer
The information and tools provided in this script are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instrument.
Trading in the financial markets involves risk of loss and is not suitable for every investor. You are solely responsible for your trading decisions. Always do your own research, use proper risk management, and consult a licensed financial advisor before making any financial decisions.
Mark4ex vWapMark4ex VWAP is a precision session-anchored Volume Weighted Average Price (VWAP) indicator crafted for intraday traders who want clean, reliable VWAP levels that reset daily to match a specific market session.
Unlike the built-in continuous VWAP, this version anchors each day to your chosen session start and end time, most commonly aligned with the New York Stock Exchange Open (9:30 AM EST) through the market close (4:00 PM EST). This ensures your VWAP reflects only intraday price action within your active trading window — filtering out irrelevant overnight moves and providing clearer mean-reversion signals.
Key Features:
Fully configurable session start & end times — adapt it for NY session or any other market.
Anchored VWAP resets daily for true session-based levels.
Built for the New York Open Range Breakout strategy: see how price interacts with VWAP during the volatile first 30–60 minutes of the US market.
Plots a clean, dynamic line that updates tick-by-tick during the session and disappears outside trading hours.
Designed to help you spot real-time support/resistance, intraday fair value zones, and liquidity magnets used by institutional traders.
How to Use — NY Open Range Breakout:
During the first hour of the New York session, institutional traders often define an “Opening Range” — the high and low formed shortly after the bell. The VWAP in this zone acts as a dynamic pivot point:
When price is above the session VWAP, bulls are in control — the level acts as a support floor for pullbacks.
When price is below the session VWAP, bears dominate — the level acts as resistance against bounces.
Breakouts from the opening range often test the VWAP for confirmation or rejection.
Traders use this to time entries for breakouts, retests, or mean-reversion scalps with greater confidence.
⚙️ Recommended Settings:
Default: 9:30 AM to 4:00 PM New York time — standard US equities session.
Adjust hours/minutes to match your target market’s open and close.
👤 Who is it for?
Scalpers, day traders, prop traders, and anyone trading the NY Open, indices like the S&P 500, or highly liquid stocks during US cash hours.
🚀 Why use Mark4ex VWAP?
Because a properly anchored VWAP is a trader’s real-time institutional fair value, giving you better context than static moving averages. It adapts live to volume shifts and helps you follow smart money footprints.
This indicator will reconfigure every day, anchored to the New York Open, it will also leave historical NY Open VWAP for study purpose.
Timeframe Resistance Evaluation And Detection - CoffeeKillerTREAD - Timeframe Resistance Evaluation And Detection Guide
🔔 Important Technical Limitation 🔔
**This indicator does NOT fetch true higher timeframe data.** Instead, it simulates higher timeframe levels by aggregating data from your current chart timeframe. This means:
- Results will vary depending on what chart timeframe you're viewing
- Levels may not match actual higher timeframe candle highs/lows
- You might miss important wicks or gaps that occurred between chart timeframe bars
- **Always verify levels against actual higher timeframe charts before trading**
Welcome traders! This guide will walk you through the TREAD (Timeframe Resistance Evaluation And Detection) indicator, a multi-timeframe analysis tool developed by CoffeeKiller that identifies support and resistance confluence across different time periods.(I am 50+ year old trader and always thought I was bad a teaching and explaining so you get a AI guide. I personally use this on the 5 minute chart with the default settings, but to each there own and if you can improve the trend detection methods please DM me. I would like to see the code. Thanks)
Core Components
1. Dual Timeframe Level Tracking
- Short Timeframe Levels: Tracks opening price extremes within shorter periods
- Long Timeframe Levels: Tracks actual high/low extremes within longer periods
- Dynamic Reset Mechanism: Levels reset at the start of each new timeframe period
- Momentum Detection: Identifies when levels change mid-period, indicating active price movement
2. Visual Zone System
- High Zones: Areas between long timeframe highs and short timeframe highs
- Low Zones: Areas between long timeframe lows and short timeframe lows
- Fill Coloring: Dynamic colors based on whether levels are static or actively changing
- Momentum Highlighting: Special colors when levels break during active periods
3. Customizable Display Options
- Multiple Plot Styles: Line, circles, or cross markers
- Flexible Timeframe Selection: Wide range of short and long timeframe combinations
- Color Customization: Separate colors for each level type and momentum state
- Toggle Controls: Show/hide different elements based on trading preference
Main Features
Timeframe Settings
- Short Timeframe Options: 15m, 30m, 1h, 2h, 4h
- Long Timeframe Options: 1h, 2h, 4h, 8h, 12h, 1D, 1W
- Recommended Combinations:
- Scalping: 15m/1h or 30m/2h
- Day Trading: 30m/4h or 1h/4h
- Swing Trading: 4h/1D or 1D/1W
Display Configuration
- Level Visibility: Toggle short/long timeframe levels independently
- Fill Zone Control: Enable/disable colored zones between levels
- Momentum Fills: Special highlighting for actively changing levels
- Line Customization: Width, style, and color options for all elements
Color System
- Short TF High: Default red for resistance levels
- Short TF Low: Default green for support levels
- Long TF High: Transparent red for broader resistance context
- Long TF Low: Transparent green for broader support context
- Momentum Colors: Brighter colors when levels are actively changing
Technical Implementation Details
How Level Tracking Works
The indicator uses a custom tracking function that:
1. Detects Timeframe Periods: Uses `time()` function to identify when new periods begin
2. Tracks Extremes: Monitors highest/lowest values within each period
3. Resets on New Periods: Clears tracking when timeframe periods change
4. Updates Mid-Period: Continues tracking if new extremes are reached
The Timeframe Limitation Explained
`pinescript
// What the indicator does:
short_tf_start = ta.change(time(short_timeframe)) != 0 // Detects 30m period start
= track_highest(open, short_tf_start) // BUT uses chart TF opens!
// What true multi-timeframe would be:
// short_tf_high = request.security(syminfo.tickerid, short_timeframe, high)
`
This means:
- On a 5m chart with 30m/4h settings: Tracks 5m bar opens during 30m and 4h windows
- On a 1m chart with same settings: Tracks 1m bar opens during 30m and 4h windows
- Results will be different between chart timeframes
- May miss important price action that occurred between your chart's bars
Visual Elements
1. Level Lines
- Short TF High: Upper resistance line from shorter timeframe analysis
- Short TF Low: Lower support line from shorter timeframe analysis
- Long TF High: Broader resistance context from longer timeframe
- Long TF Low: Broader support context from longer timeframe
2. Zone Fills
- High Zone: Area between long TF high and short TF high (potential resistance cluster)
- Low Zone: Area between long TF low and short TF low (potential support cluster)
- Regular Fill: Standard transparency when levels are static
- Momentum Fill: Enhanced visibility when levels are actively changing
3. Dynamic Coloring
- Static Periods: Normal colors when levels haven't changed recently
- Active Periods: Momentum colors when levels are being tested/broken
- Confluence Zones: Different intensities based on timeframe alignment
Trading Applications
1. Support/Resistance Trading
- Entry Points: Trade bounces from zone boundaries
- Confluence Areas: Focus on areas where short and long TF levels cluster
- Zone Breaks: Enter on confirmed breaks through entire zones
- Multiple Timeframe Confirmation: Stronger signals when both timeframes align
2. Range Trading
- Zone Boundaries: Use fill zones as range extremes
- Mean Reversion: Trade back toward opposite zone when price reaches extremes
- Breakout Preparation: Watch for momentum color changes indicating potential breakouts
- Risk Management: Place stops outside the opposite zone
3. Trend Following
- Direction Bias: Trade in direction of zone breaks
- Pullback Entries: Enter on pullbacks to broken zones (now support/resistance)
- Momentum Confirmation: Use momentum coloring to confirm trend strength
- Multiple Timeframe Alignment: Strongest trends when both timeframes agree
4. Scalping Applications
- Quick Bounces: Trade rapid moves between zone boundaries
- Momentum Signals: Enter when momentum colors appear
- Short-Term Targets: Use opposite zone as profit target
- Tight Stops: Place stops just outside current zone
Optimization Guide
1. Timeframe Selection
For Different Trading Styles:
- Scalping: 15m/1h - Quick levels, frequent updates
- Day Trading: 30m/4h - Balanced view, good for intraday moves
- Swing Trading: 4h/1D - Longer-term perspective, fewer false signals
- Position Trading: 1D/1W - Major structural levels
2. Chart Timeframe Considerations
**Important**: Your chart timeframe affects results
- Lower Chart TF: More granular level tracking, but may be noisy
- Higher Chart TF: Smoother levels, but may miss important price action
- Recommended: Use chart timeframe 2-4x smaller than short indicator timeframe
3. Display Settings
- Busy Charts: Disable fills, show only key levels
- Clean Analysis: Enable all fills and momentum coloring
- Multi-Monitor Setup: Use different color schemes for easy identification
- Mobile Trading: Increase line width for visibility
Best Practices
1. Level Verification
- Always Cross-Check: Verify levels against actual higher timeframe charts
- Multiple Timeframes: Check 2-3 different chart timeframes for consistency
- Price Action Confirmation: Wait for candlestick confirmation at levels
- Volume Analysis: Combine with volume for stronger confirmation
2. Risk Management
- Stop Placement: Use zones rather than exact prices for stops
- Position Sizing: Reduce size when zones are narrow (higher risk)
- Multiple Targets: Scale out at different zone boundaries
- False Break Protection: Allow for minor zone penetrations
3. Signal Quality Assessment
- Momentum Colors: Higher probability when momentum coloring appears
- Zone Width: Wider zones often provide stronger support/resistance
- Historical Testing: Backtest on your preferred timeframe combinations
- Market Conditions: Adjust sensitivity based on volatility
Advanced Features
1. Momentum Detection System
The indicator tracks when levels change mid-period:
`pinescript
short_high_changed = short_high != short_high and not short_tf_start
`
This identifies:
- Active level testing
- Potential breakout situations
- Increased market volatility
- Trend acceleration points
2. Dynamic Color System
Complex conditional logic determines fill colors:
- Static Zones: Regular transparency for stable levels
- Active Zones: Enhanced colors for changing levels
- Mixed States: Different combinations based on user preferences
- Custom Overrides: User can prioritize certain color schemes
3. Zone Interaction Analysis
- Convergence: When short and long TF levels approach each other
- Divergence: When timeframes show conflicting levels
- Alignment: When both timeframes agree on direction
- Transition: When one timeframe changes while other remains static
Common Issues and Solutions
1. Inconsistent Levels
Problem: Levels look different on various chart timeframes
Solution: Always verify against actual higher timeframe charts
2. Missing Price Action
Problem: Important wicks or gaps not reflected in levels
Solution: Use chart timeframe closer to indicator's short timeframe setting
3. Too Many Signals
Problem: Excessive level changes and momentum alerts
Solution: Increase timeframe settings or reduce chart timeframe granularity
4. Lagging Signals
Problem: Levels seem to update too slowly
Solution: Decrease chart timeframe or use more sensitive timeframe combinations
Recommended Setups
Conservative Approach
- Timeframes: 4h/1D
- Chart: 1h
- Display: Show fills only, no momentum coloring
- Use: Swing trading, position management
Aggressive Approach
- Timeframes: 15m/1h
- Chart: 5m
- Display: All features enabled, momentum highlighting
- Use: Scalping, quick reversal trades
Balanced Approach
- Timeframes: 30m/4h
- Chart: 15m
- Display: Selective fills, momentum on key levels
- Use: Day trading, multi-session analysis
Final Notes
**Remember**: This indicator provides a synthetic view of multi-timeframe levels, not true higher timeframe data. While useful for identifying potential confluence areas, always verify important levels by checking actual higher timeframe charts.
**Best Results When**:
- Combined with actual multi-timeframe analysis
- Used for confluence confirmation rather than primary signals
- Applied with proper risk management
- Verified against price action and volume
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. The timeframe limitation means results may not reflect true higher timeframe levels. Always conduct your own analysis and verify levels independently before making trading decisions. Trading involves significant risk of loss.
Consolidation Zones[RanaAlgo]Overview
This indicator helps traders identify price consolidation zones (ranges) and potential breakouts in the market. It is useful for spotting periods of low volatility before significant price movements.
How It Works
Detects Consolidation Zones
Uses the ADX (Average Directional Index) to determine when the market is in a consolidation phase .
When ADX is below the threshold , the indicator marks the start of a consolidation zone.
Draws a semi-transparent box around the price range, adjusting its height as new highs/lows form.
Tracks Breakouts
When price breaks above/below the consolidation box, it signals a potential trend continuation.
Displays breakout arrows/labels (configurable shape & style) when price exits the range.
Visual Features
Boxes highlight consolidation areas (customizable color, border, and style).
Labels show real-time status ("CONSOLIDATING" or "TRENDING").
Breakout signals appear as arrows or shapes (up/down).
Usefulness in Trading
Range Trading: Helps traders identify sideways markets for buying low and selling high.
Breakout Trading: Signals potential trend entries when price exits consolidation.
Trend Confirmation: Low ADX + consolidation box = weak trend; breakout = possible trend start.
Example: If price stays in a blue box (consolidation) and then breaks above with an arrow, it suggests a bullish move.
OBV with MA & Bollinger Bands by Marius1032OBV with MA & Bollinger Bands by Marius1032
This script adds customizable moving averages and Bollinger Bands to the classic OBV (On Balance Volume) indicator. It helps identify volume-driven momentum and trend strength.
Features:
OBV-based trend tracking
Optional smoothing: SMA, EMA, RMA, WMA, VWMA
Optional Bollinger Bands with SMA
Potential Combinations and Trading Strategies:
Breakouts: Look for price breakouts from the Bollinger Bands, and confirm with a rising OBV for an uptrend or falling OBV for a downtrend.
Trend Reversals: When the price touches a Bollinger Band, examine the OBV for divergence. A bullish divergence (price lower low, OBV higher low) near the lower band could signal a reversal.
Volume Confirmation: Use OBV to confirm the strength of the trend indicated by Bollinger Bands. For example, if the BBs indicate an uptrend and OBV is also rising, it reinforces the bullish signal.
1. On-Balance Volume (OBV):
Purpose: OBV is a momentum indicator that uses volume flow to predict price movements.
Calculation: Volume is added on up days and subtracted on down days.
Interpretation: Rising OBV suggests potential upward price movement. Falling OBV suggests potential lower prices.
Divergence: Divergence between OBV and price can signal potential trend reversals.
2. Moving Average (MA):
Purpose: Moving Averages smooth price fluctuations and help identify trends.
Combination with OBV: Pairing OBV with MAs helps confirm trends and identify potential reversals. A crossover of the OBV line and its MA can signal a trend reversal or continuation.
3. Bollinger Bands (BB):
Purpose: BBs measure market volatility and help identify potential breakouts and trend reversals.
Structure: They consist of a moving average (typically 20-period) and two standard deviation bands.
Combination with OBV: Combining BBs with OBV allows for a multifaceted approach to market analysis. For example, a stock hitting the lower BB with a rising OBV could indicate accumulation and a potential upward reversal.
Created by: Marius1032
Squeeze Pro Momentum BAR color - KLTDescription:
The Squeeze Pro Momentum indicator is a powerful tool designed to detect volatility compression ("squeeze" zones) and visualize momentum shifts using a refined color-based system. This script blends the well-known concepts of Bollinger Bands and Keltner Channels with an optimized momentum engine that uses dynamic color gradients to reflect trend strength, direction, and volatility.
It’s built for traders who want early warning of potential breakouts and clearer insight into underlying market momentum.
🔍 How It Works:
📉 Squeeze Detection:
This indicator identifies "squeeze" conditions by comparing Bollinger Bands and Keltner Channels:
When Bollinger Bands are inside Keltner Channels → Squeeze is ON
When Bollinger Bands expand outside Keltner Channels → Squeeze is OFF
You’ll see squeeze zones classified as:
Wide
Normal
Narrow
Each represents varying levels of compression and breakout potential.
⚡ Momentum Engine:
Momentum is calculated using linear regression of the price's deviation from a dynamic average of highs, lows, and closes. This gives a more accurate representation of directional pressure in the market.
🧠 Smart Candle Coloring (Optimized):
The momentum color logic is inspired by machine learning principles (no hardcoded thresholds):
EMA smoothing and rate of change (ROC) are used to detect momentum acceleration.
ATR-based filters help remove noise and false signals.
Colors are dynamically assigned based on both direction and trend strength.
🧪 How to Use It:
Look for Squeeze Conditions — especially narrow squeezes, which tend to precede high-momentum breakouts.
Confirm with Momentum Color — strong colors often indicate trend continuation; fading colors may signal exhaustion.
Combine with Price Action — use this tool with support/resistance or patterns for higher probability setups.
Recommended For:
Trend Traders
Breakout Traders
Volatility Strategy Users
Anyone who wants visual clarity on trend strength
📌 Tip: This indicator works great when layered with volume and price action patterns. It is fully non-repainting and supports overlay on price charts.
Real-Time Spring DetectorThis is a Pine Script for Trading View that creates a "Real-Time Spring Detector" indicator. This Pine Script is essentially a sophisticated pattern recognition tool that helps identify "spring" setups - a popular trading pattern where price briefly breaks below support but then bounces back strongly, often indicating that sellers are exhausted and buyers are ready to step in.What is a "Spring" in Trading?
A spring is a technical analysis pattern that occurs when:
Price breaks below a support level (like breaking below a floor)
But then quickly bounces back up (like a spring rebounds)
This often signals that sellers are weak and buyers are stepping in
Think of it like testing the strength of a trampoline - you push down, but it springs back up stronger.
What This Script Does
This Pine Script automatically detects spring patterns on your chart and alerts you when they happen. Here's how it works:
Main Components
1. Input Parameters (Settings You Can Adjust)
Lookback Period (10): How many bars back to look for patterns
Min Support Touches (2): How many times price must touch the support level
Min Penetration % (0.1%): How far below support price must break
Min Rejection % (30%): How much price must bounce back up
Alert Settings: Choose when to get notifications
2. Support Level Detection
The script finds "support levels" - price levels where buyers have stepped in before:
It looks at recent low points
Identifies areas where price has bounced multiple times
Uses a small tolerance (0.5%) to account for minor price differences
3. Spring Detection Logic
The script identifies three types of springs:
Real-Time Spring (happening right now):
Price breaks below support by the minimum amount
Price bounces back strongly (rejection %)
Current candle closes higher than it opened (bullish)
Volume is reasonable
Confirmed Spring (already completed):
Same as real-time, but the candle has finished forming
Potential Spring (early warning):
Price is near support but hasn't fully formed the pattern yet
4. Visual Elements
Markers on Chart:
🟢 Green Triangle: Confirmed spring (reliable signal)
🟡 Yellow Triangle: Spring forming right now (live signal)
🟠 Orange Circle: Potential spring (early warning)
Labels:
Show "SPRING" with the rejection percentage
"FORMING" for developing patterns
"?" for potential springs
Support Line:
Red dotted line showing the support level
Background Colors:
Light red when price penetrates support
Light yellow for potential springs
5. Information Box
A table in the top-left corner shows:
Current support level price
Whether penetration is happening
Rejection percentage
Current pattern status
Live price
6. Alert System
Two types of alerts:
Real-time alerts: Notify when spring is forming (current bar)
Confirmed alerts: Notify when spring is complete (bar closed)
Alert cooldown: Prevents spam by waiting 5 bars between alerts
How to Use This Script
1. Installation
Copy the script code
Open TradingView
Go to Pine Editor
Paste the code
Click "Add to Chart"
2. Settings
Adjust the input parameters based on your trading style:
Lower lookback = more sensitive, faster signals
Higher support touches = more reliable but fewer signals
Lower penetration % = catches smaller springs
Higher rejection % = only strong bounces
3. Interpretation
Green triangles: High-confidence buy signals
Yellow triangles: Watch closely, pattern developing
Orange circles: Early warning, not tradeable yet
4. Best Practices
Use on higher timeframes (15min+) for more reliable signals
Combine with other indicators for confirmation
Pay attention to volume - higher volume springs are more reliable
Wait for confirmed signals if you're a conservative trader
Key Features for Small Timeframes
The script includes special detection for shorter timeframes:
Quick bounce detection: Identifies rapid reversals
Hammer pattern recognition: Spots candlestick patterns
Relaxed volume requirements: Works when volume data is limited
Advanced Features
Volume Analysis
Compares current volume to 10-bar average
Requires at least 80% of average volume (flexible for small timeframes)
Pattern Enhancement
Looks for hammer-like candles (long lower wick, small upper wick)
Identifies quick bounces where the upper wick is small
Multiple Confirmation
Combines multiple criteria to reduce false signals
Stronger springs get priority for alerts
Common Use Cases
Entry Signals: Buy when confirmed springs appear
Support Level Identification: Visual support lines help identify key levels
Risk Management: Failed springs (continued breakdown) can be stop-loss triggers
Market Structure: Understanding where buyers are defending price levels
Limitations
Works best in trending or ranging markets May produce false signals in very choppy conditions
small timeframe signals can be noisy should be combined with other analysis methods.The key advantage is that it can catch these patterns as they happen, rather than you having to constantly watch charts. This is especially valuable for active traders who want to capitalize on quick reversals at support levels.
DWMY Opens (for aggr. charts) by Koenigsegg🟣 DWMY Opens (for Aggregated Charts) by Koenigsegg
Revolutionary compatibility with aggregated charts – This indicator represents a significant breakthrough in displaying Daily, Weekly, Monthly, and Yearly opening levels on aggregated chart types where traditional DWMY indicators have historically failed to function properly.
Complete aggregated chart support – Unlike previous Daily Weekly Monthly Yearly Opens indicators that experienced severe limitations when pulling data from non-standard chart types, this version is specifically engineered to work flawlessly with aggregated charts, range bars, Renko charts, Point & Figure charts, and all other non-time-based chart constructions.
Persistent horizontal reference lines – The indicator draws four distinct horizontal lines representing the opening prices of the current Daily, Weekly, Monthly, and Yearly periods, extending these levels forward into future bars to provide clear reference points for key support and resistance analysis.
Advanced customization capabilities – Features comprehensive user controls including custom label naming for each timeframe, adjustable line colors with independent color selection for Daily, Weekly, Monthly, and Yearly levels, configurable line width settings, and variable label font sizes ranging from tiny to huge.
Dynamic label positioning system – Implements a sophisticated label placement mechanism with configurable tick offset positioning and fixed end-bars-ahead projection, ensuring labels remain visible and properly positioned regardless of chart zoom level or timeframe.
Intelligent period detection logic – Utilizes advanced Pine Script time change detection algorithms specifically optimized for aggregated charts, accurately identifying new Daily, Weekly, Monthly, and Yearly periods even when traditional time-based functions fail on non-standard chart types.
Performance-optimized architecture – Built with efficient persistent variable storage using the var keyword, minimizing computational overhead while maintaining real-time updates across all timeframe levels simultaneously.
Professional visual presentation – Delivers clean, uncluttered chart visualization with strategically positioned labels that clearly identify each timeframe level without interfering with price action analysis.
Universal market compatibility – Functions seamlessly across all asset classes including stocks, forex, cryptocurrencies, commodities, and indices, adapting automatically to different tick sizes and price scales through syminfo.mintick integration.
Pine Script v6 foundation – Leverages the latest Pine Script version 6 capabilities, ensuring optimal performance, stability, and compatibility with current and future TradingView platform updates.
This indicator solves a critical limitation that has long plagued traders using aggregated chart types, finally enabling reliable access to essential Daily, Weekly, Monthly, and Yearly opening levels that serve as fundamental support and resistance zones in technical analysis. The breakthrough lies in its ability to maintain accurate period detection and level plotting regardless of the underlying chart construction methodology.
🟣 How It Works
Automatic period detection – The indicator continuously monitors for time changes across four distinct timeframes using ta.change(time()) functions for Daily and Weekly periods, month transitions for Monthly levels, and year changes for Yearly opens, ensuring precise identification of new period beginnings.
Real-time level updates – When a new period is detected, the indicator captures the opening price at that exact moment and immediately establishes a horizontal line from that bar extending forward to a configurable number of bars ahead, creating persistent reference levels.
Dynamic line management – Each timeframe maintains its own dedicated line object and label, with the indicator continuously updating the endpoint coordinates and label positions as new bars form, ensuring the levels always project the specified distance into the future.
Intelligent label placement – Labels are positioned at the end of each line with automatic vertical offset based on the symbol’s minimum tick size, preventing overlap with price action while maintaining clear identification of each timeframe level.
🟣 Pro Tips for Optimal Usage
Multi-timeframe confluence – Look for areas where multiple DWMY levels converge within close proximity, as these zones typically act as stronger support or resistance levels due to increased market participant attention at these psychological price points.
Breakout confirmation strategy – When price breaks above or below a significant DWMY level with strong volume, the broken level often transforms into support (if broken upward) or resistance (if broken downward), providing excellent entry and exit reference points.
Range trading opportunities – On ranging markets, use Daily and Weekly opens as potential reversal zones, especially when price approaches these levels during low-volume periods or near session opens when institutional activity increases.
Timeframe alignment technique – For swing trading, prioritize trades that align with the direction of the break from Weekly or Monthly opens, while using Daily opens for precise entry timing and position management.
Chart type optimization – This indicator excels on Renko, Range, and Point & Figure charts where traditional time-based DWMY indicators fail, making it invaluable for traders who prefer these aggregated chart types for cleaner price action analysis.
Important Disclaimer:
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All trading involves risk, and past performance does not guarantee future results. Please conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author is not responsible for any losses incurred from using this indicator.
