HTF Swing Highs & LowsAn open-source multi-timeframe market structure indicator that automatically identifies and projects confirmed swing highs and swing lows from the Weekly, Daily, and 4-Hour timeframes onto any lower timeframe chart.
The indicator is designed to provide clean, non-repainting support and resistance levels based on confirmed market structure rather than developing pivots.
Features
- Weekly, Daily and 4H swing highs and lows
- Non-repainting confirmed pivots
- Automatic higher timeframe detection using request.security()
- Horizontal levels extended until invalidated
- Independent visibility controls for each timeframe
- Hierarchical timeframe filtering
- Custom colours and line widths for every timeframe
- Adjustable pivot strength
- Wick, Close or Never invalidation options
- Stop or Delete broken levels
- Automatic level management to prevent exceeding PulseWire object limits
How it works
The script uses confirmed pivot highs and lows from higher timeframes.
Unlike developing pivots, a swing is only confirmed after the selected number of candles has formed on both sides of the pivot. Once confirmed, a horizontal level is created at the swing price and extended to the right.
Because only confirmed pivots are used, historical levels do not repaint.
Pivot Strength
Pivot Strength controls how significant a swing must be before it becomes a level.
A strength of 3 means the pivot candle must have:
- three lower highs (or higher lows) before it
- three lower highs (or higher lows) after it
Higher values filter market noise and identify more significant market structure.
They also produce fewer levels and require longer confirmation.
Lower values detect smaller swings, produce more levels, react faster.
Level Invalidation
Choose how a level is treated once price trades through it.
Wick - Invalidates when price wicks beyond the level.
Close - Invalidates only after a candle closes beyond the level.
Never - Levels remain permanently.
Broken levels can either:
- Stop extending while remaining visible
- Be deleted completely
Hierarchical Visibility
The indicator can automatically display only relevant higher timeframe levels.
For example:
- Weekly levels appear on Weekly and all lower timeframes.
- Daily levels appear on Daily and all lower timeframes.
- 4H levels appear on 4H and lower charts.
This helps reduce clutter when analysing higher timeframe charts.
Notes
- Uses confirmed higher timeframe pivots only.
- Levels are anchored to the original swing candle.
- Designed for support and resistance, market structure, liquidity analysis, and confluence with other tools.
- Works on all symbols and asset classes supported by PulseWire. Indicator
Fibonacci Retracement [AFD]Fibonacci levels that find their own two points, and keep finding them.
THE PROBLEM WITH DRAWING THEM BY HAND
A retracement is two clicks and a judgement call. The judgement is the hard part - which high, which low, and whether the leg you just measured is one move or two glued together. Then the session rolls over and the answer changes, so you do it again.
This draws the grid from the chart's own data instead. You tell it which range matters and it finds the two points itself, every bar, forever. Come back after the open and it has already re-anchored to the new day.
PICKING THE RANGE
Four choices, and they are all self-maintaining.
Current Day is the default and it is the one most intraday traders want - today's high and low, re-anchoring at each session open. Previous Day is yesterday's, and it draws from yesterday's start rather than today's, so the geometry sits over the data it came from. Current Week is the same idea one period up.
Latest Swing is the interesting one. It takes the last confirmed swing high and low, and it insists they alternate.
That insistence matters more than it sounds. ta.pivothigh() and ta.pivotlow() are independent detectors, and a real chart prints two, three, four highs in a row with no qualifying low between them. Take the most recent of each and you get a "leg" whose high end is simply the latest high, not the highest one in the span - so the grid measures a move that never happened as a single push, and 0.618 lands somewhere with no relationship to anything. Here, a pivot on the same side as the last one replaces it only if it is more extreme, and a pivot on the opposite side starts the next leg. On clean impulses this changes nothing at all. On ragged ones it pulls the anchor back to the extreme the leg actually reached.
Swing Strength sets how many bars have to print either side of a pivot before it counts. Higher means fewer and more significant swings, and a longer wait.
WHICH WAY THE LEG RUNS
Fib Direction is Auto, Long or Short, and it is the one control that stays live no matter what else you switch off - because it governs both grids, not just the near one.
Auto works out the direction from the range you actually chose. It looks at the two extremes that range uses and puts 0.00 at whichever one printed later, on the reasoning that the more recent extreme is the one the move ended on. So on Current Day, a day that made its low at 10:15 and its high at 15:50 gets 0.00 at the high and a grid you read downwards. Force it with Long or Short when you disagree.
THE MINUS SIGN, AND WHY THE EXTENSIONS HAVE ONE
Everything on this chart is numbered from the leg end. 0.00 sits at the recent extreme that finished the move, 1.00 at the point it started from. That way the number you read is retracement depth, and it means the same thing whichever direction the leg ran.
The extensions continue that same line past 0.00, which is why they are negative. -0.618 sits 0.618 of the leg's range beyond the 0.00 line, in the direction the leg was travelling - exactly the way 0.618 sits 0.618 of the range on the other side of it. One ruler, and the sign tells you which side of the origin you are on.
If that looks unfamiliar, put PulseWire's own Fib Retracement tool on the same two points. Its tags read the same: -0.618, not 1.618. The 1.618 reading belongs to the Trend-Based Fib Extension tool, which measures from the leg origin instead - a perfectly good convention, but putting both on one chart gives you two rulers running opposite directions from the same 1.00 line, and sooner or later you read the wrong one.
Six ratios are on offer - -0.272, -0.414, -0.618, -1.00, -1.618, -3.236 - and they ship switched off. They are levels, not targets. They are arithmetic on the leg. This script says nothing about whether price gets to one, marks no entry or exit, and has no alerts of any kind.
THE SECOND GRID
Switch on Show HTF Context and a second grid draws behind the first, anchored to the latest confirmed swing on a higher timeframe and dimmed so it stays context rather than competing for your attention. It ships off, so a fresh add gives you one clean grid.
HTF Mode is where this differs from most higher-timeframe overlays. Adaptive , the default, does not hold a fixed interval - it takes the next one up from whatever chart you are on. A 5-minute chart anchors to the 15-minute swing, a 1-hour chart to the 4-hour. Change timeframe and it follows you, and because it always resolves to something strictly higher, it cannot silently resolve to nothing.
Custom lets you name the timeframe instead, which is what you want when a specific one matters - the 4-hour swing while you scalp the 5, say. The catch is that it has to be strictly higher than the chart. Set Custom to 240 and drop to a 4-hour chart and the grid disappears with no warning label, because 240 is not higher than 240.
Both grids keep their own level checkboxes, line width, label size and text colour, so you can make the context layer as quiet as you like. The extension ratios are the exception: which ratios get drawn is shared by both grids, while which grids draw them is not. Each layer has its own extension toggle. The tooltips say which is which, because a control that looks global and is not is worse than one that plainly is.
THE SETTINGS ACTUALLY WORTH YOUR TIME
Most of the 63 inputs are the ordinary colour-and-width kind. These are the ones that change how the thing reads.
Color Mode defaults to Gradient, and it is doing real work. Each level takes its colour from its own ratio, so hue states depth - the shallow end and the deep end are different colours, and the 0.618-0.786 span reads as a region instead of two more identical lines. There are five presets plus Custom. Single Color reverts to one colour per grid if you prefer the classic look, and either way whatever transparency you pick in the colour picker is the transparency you get.
Enable Glow draws every level twice - a wide, near-transparent halo under a thin bright core. It costs nothing but line objects and it is the difference between a grid you can see on a busy chart and a set of hairlines you lose against the candles. Turn it off when the chart is crowded.
Fill Between Levels shades the intervals. OTE Band, the default, shades only 0.618-0.786. All Bands shades everything, Custom Bands lets you pick, and Off is off. The fills are independent of the line checkboxes, so you can shade a band whose boundary lines are hidden.
Highlight Golden Zone at Price is the one piece of reactive styling here. While the last close is between the 0.618 and 0.786 prices, that band draws more opaque and lifts off the chart. It creates nothing new - no box, no zone object, no centre line, no label - it just restyles the band the fill control already drew, and Highlight Strength sets by how much. It is arithmetic on two numbers already on your screen.
HTF Layer Dimming adds transparency to the whole context grid on top of whatever its colours already carry, which is how the second grid stays behind the first instead of doubling the clutter.
Extension Fade fades each extension a little further as it travels away from the leg, so the near ones read as more prominent than the far ones. It counts only the extensions you actually enabled, not their slot in the ladder - so if you turn on just the far ones, the nearest of them is still drawn at full strength rather than arriving pre-dimmed.
Ratio Label Format switches the tags between decimal and percent - 0.618 or 61.8%, minus signs intact either way. Show Price Labels adds the actual price beside each ratio; it is off by default because eight prices is a lot of text.
Line Extension Left/Right and Label Right Offset control how far the grid reaches and how far past it the tags sit. The defaults keep the tags in the empty margin, clear of both the candles and the price scale.
One last thing: any control that cannot do anything greys itself out. Switch the context grid off and its settings dim. Switch to Gradient and the single-colour pickers dim. There is no control in this script that looks live, takes a value, and quietly does nothing.
GETTING STARTED
Add it. You get one grid on today's range, gradient-coloured, golden zone shaded.
Want a different range? Anchor Range. Leave Fib Direction on Auto until it tells you something you disagree with.
Want context from above? Show HTF Context, and leave HTF Mode on Adaptive unless a specific timeframe matters to you.
Want the extensions? Turn them on for whichever grid you want them on, then pick your ratios.
Too busy? Glow off, Fill Between Levels off. You are back to plain lines.
THINGS THAT WILL LOOK LIKE BUGS AND ARE NOT
Swing anchors arrive late. A pivot is not a pivot until Swing Strength bars have printed after it, so on Latest Swing and on the context grid you are always looking at the last confirmed pivot, not the bar in front of you. When a newer one confirms, the anchor moves. That is the price of anchoring to something you can only recognise in hindsight, and it is the same trade every swing-based tool makes.
The day and week ranges are live. Current Day and Current Week use the period's running high and low, so the grid re-scales when the session makes a new extreme. It is showing you the range as it stands, not a finished one.
It draws one grid, not a history of them. You get the current grid, redrawn as things move. There is no trail of old ones behind you.
Higher-timeframe data uses the documented confirmed-value form - the expression is offset by one bar and the request passes barmerge.lookahead_on. Together, that is the pattern the Pine Script documentation gives for reading a higher timeframe without pulling unclosed data into historical bars. The source is open, so you can read the call rather than take my word for it.
Custom HTF at or below the chart timeframe draws nothing at all , and says nothing about it. Worth remembering before you conclude the context layer is broken.
A 12-month chart draws no context grid. 12M is the top of PulseWire's interval list, so Adaptive has nothing left to step up to. 3-month and 6-month charts both work.
Prices come from standard OHLC via ticker.standard(), so your levels are the same on Heikin Ashi, Renko, Kagi, Line Break and Point and Figure as they are on candles. The synthetic geometry of those chart types can still put the lines somewhere you would not expect.
WHAT IT DELIBERATELY DOES NOT DO
No alerts. No signals. No scores, ratings or probabilities. No zones, no nested zones, no centre line. It draws Fibonacci levels, labels them honestly, and stops. If you want something that tells you when to act, this is not it.
WHY IT IS DIFFERENT
Four self-maintaining ranges instead of a two-point drag you place today and replace tomorrow. Two independently configured grids on one continuous number line, with the higher one dimmed to sit behind rather than on top. Extensions numbered on the same ruler as the retracements, matching the tags PulseWire's own tool gives those prices, rather than a second scale running the other way. A swing range that is genuinely one leg, because the pivot pair is kept alternating. And colour that carries information - a level's hue states its depth - instead of a palette applied to identical lines.
Open source under the Mozilla Public License 2.0. Indicator
Macro Candle OverlayMacro Candle Overlay is a higher-timeframe candle visualization tool designed to display selected macro candles directly on the active chart.
The script draws candles from a selected higher timeframe, such as 15m, 30m, 1H, 2H, 4H, Daily, Weekly, or Monthly. Each higher-timeframe candle is represented with its own body and wick, allowing traders to view larger candle structure without switching away from the current chart timeframe.
This can help with visual analysis of broader market context, including higher-timeframe candle direction, wick behavior, candle body size, and developing macro candle structure.
Main features:
* Higher-timeframe candle overlay on the current chart;
* Selectable candle timeframe;
* Bullish and bearish body color settings;
* Wick and border color settings;
* Adjustable body transparency;
* Automatic candle updating while the current higher-timeframe candle is still developing;
* Clean chart-based visualization with no signal logic.
How it works:
The indicator uses the selected higher timeframe to define candle open, high, low, close, start time, and end time. It then draws each candle as a chart object, including a candle body and a wick. The active candle updates as new price data appears.
This script does not generate buy or sell signals. It does not include strategy logic, alerts, backtesting, win-rate calculations, or performance projections. It is intended only as a visual charting tool for reading higher-timeframe candle structure.
Traders can use it as an additional visual reference together with their own analysis, market structure, risk management, and trading plan.
Indicator
HTF Delta Flux + Liquidations [BigBeluga]HTF Delta Flux + Liquidations is a high-timeframe order flow diagnostic tool that visualizes the internal volume dynamics of macro candles. By projecting Higher Timeframe (HTF) structures onto your current chart, it reveals the "Flux"—the movement of Cumulative Volume Delta—and identifies high-velocity volume spikes often associated with liquidations.
Unlike standard indicators that only show a candle’s open and close, this script breaks down the aggressive buying and selling that occurred inside the candle’s duration.
🔵 CONCEPTS
HTF Candle Boxes: Automatically draws the body and wicks of a higher timeframe (e.g., Daily or Weekly) over your intraday price action.
The Delta Flux Curve: An internal polyline that maps the path of Cumulative Volume Delta within the HTF candle. This allows you to see if a candle’s volume was "front-loaded" or "back-loaded."
Full Body Mode: A visual toggle that expands the candle box to cover the entire High-Low range, creating a "Liquidity Zone" view.
Cumulative Delta Dashboard: A real-time table tracking the last N HTF candles, displaying their directional bias, total delta, and the volume contributed by liquidation flushes.
🔵 THE SYNTHETIC LIQUIDATION ENGINE
It is important to note: This indicator does not use real-time exchange liquidation API data. Since PulseWire does not provide native exchange-level liquidation feeds for all symbols, this tool uses a Volume-Based Proxy to identify liquidation-like events.
How it works:
The engine monitors the rate of change in Volume Delta. When a volume spike exceeds a specific Standard Deviation threshold relative to recent activity, it identifies a "Liquidity Flush." In the market, these extreme, sudden bursts of volume often correlate with forced liquidations or stop-run cascades.
Circle Markers: Appear at the high or low of the bar where the flush occurred.
Volume Labels: Display the specific amount of aggressive delta that triggered the signal.
🔵 FEATURES
Customizable HTF Timeframe: Analyze Daily, Weekly, or even Monthly order flow on 1-minute or 5-minute charts.
Standard Deviation Sensitivity: Fine-tune the "Dev Threshold" to filter out minor volume noise and only highlight the most significant liquidity events.
Live Delta Tracking: The current "Live" candle displays a real-time count of the active delta flux.
Historical Bias Analysis: The dashboard calculates the average bias and liquidation volume over your selected history to identify macro trend exhaustion.
🔵 HOW TO USE
Spotting Absorption: If you see a large Bullish HTF candle but the Delta Flux Curve is trending downward, it suggests aggressive selling is being absorbed by limit buyers.
Trading the "Flush": Liquidation labels (circles) often mark the local top or bottom of a move. When a "Liq" label appears after a fast price extension, it frequently signals a temporary exhaustion of the move.
Trend Confluence: Use the Dashboard to see if "Average Liq Volume" is increasing. Rising liquidation volume at the end of a trend often precedes a major reversal.
Intra-Candle Context: Watch the Delta Curve . If price is moving higher but the curve is flat, the move is likely low-conviction and prone to a retracement.
🔵 CONCLUSION
HTF Delta Flux + Liquidations bridges the gap between macro structure and micro order flow. By transforming raw volume into a visual "Flux" path and highlighting mathematical volume anomalies, it provides traders with a sophisticated map of institutional aggression and retail exhaustion. Indicator
Institutional Volume Flow [BigBeluga]🔵 OVERVIEW
Institutional Volume Flow is a higher-timeframe segmented developing volume profile tool designed to reveal where institutional participation is building inside active price ranges.
Instead of plotting static session profiles, this indicator dynamically tracks the developing High, Low, Midpoint, and Point of Control (POC) for each selected higher-timeframe segment (Daily, Weekly, or Monthly).
It allows traders to visualize where volume is accumulating in real time - and where dominant positioning is forming before the segment closes.
The result is a structural + volume hybrid framework that exposes institutional footprints inside expanding ranges.
🔵 CORE CONCEPT
HTF Segmentation - The chart is divided into higher-timeframe segments (D/W/M). Each new segment starts a fresh developing volume profile.
Developing Range Logic - High and Low levels continuously update during the segment, defining the active institutional range.
Volume Distribution Mapping - All traded volume inside the segment is distributed across price bins to build a live volume profile.
Rolling Point of Control - The price level with the highest accumulated volume is recalculated every bar.
Institutional Bias Detection - Background coloring adapts depending on whether price is trading above or below the segment midpoint.
🔵 HOW IT WORKS
1️⃣ Segment Detection
A new segment begins whenever the selected higher timeframe changes.
All volume and price calculations reset at the start of a new segment.
Previous segments are frozen and preserved on the chart for historical reference.
2️⃣ Developing High / Low Structure
The highest high and lowest low inside the current segment update dynamically.
A midpoint (average of High and Low) is calculated to represent internal balance.
These levels extend forward visually for clarity.
3️⃣ Volume Profile Construction
The price range is divided into user-defined bins (Volume Profile Bins).
Each bar’s volume is assigned to the corresponding price bin.
Volume accumulates throughout the segment.
Box width represents relative volume intensity at that level.
The strongest node becomes the Point of Control (POC) .
Rolling Point of Control - The price level with the highest accumulated volume is recalculated every bar during Segment developing.
4️⃣ Developing vs Frozen Profiles
The active segment shows a developing profile that updates in real time.
When a new segment begins, the completed profile is frozen.
This allows comparison between current positioning and previous institutional distributions.
5️⃣ Volume Spike Detection (Z-Score)
A 50-bar rolling mean and standard deviation are used.
When volume significantly exceeds normal distribution, the range fill intensifies.
This highlights abnormal participation inside the active range.
🔵 KEY FEATURES
Higher-timeframe segmentation (Daily / Weekly / Monthly).
Developing High, Low, and Midpoint levels.
Bias-based profile coloring : green above midpoint, blue below midpoint.
Real-time rolling Point of Control.
Customizable number of volume bins for precision.
Adjustable profile width for clear visualization.
Frozen historical profiles for structural context (with preserved bias color).
Z-score volume spike detection.
Institutional range bias shading at segment start/end.
🔵 HOW TO USE
Watch where price interacts with the developing POC — this often signals value acceptance or rejection.
Use the segment midpoint to gauge balance vs imbalance.
Treat green profiles as bullish-leaning segments (close above mid) and blue profiles as bearish-leaning segments (close below mid).
Observe whether volume builds near highs or lows — this can indicate accumulation or distribution.
Monitor frozen prior segments to identify high-volume memory zones.
Use volume spikes to detect aggressive participation inside developing ranges.
Combine with liquidity tools or order blocks for confirmation.
🔵 INTERPRETING INSTITUTIONAL FLOW
Expanding range + rising POC → value shifting.
Contracting range + stable POC → consolidation.
Heavy volume near extremes → potential absorption.
POC migration during trend → institutional repositioning.
🔵 CONCLUSION
Institutional Volume Flow transforms higher-timeframe segmentation into a live institutional positioning map.
By combining structural range development with rolling volume profiling and abnormal volume detection, it provides traders with a powerful way to understand where participation is building - not just where price is moving.
It is especially effective for identifying accumulation, distribution, and value shifts before a higher-timeframe candle closes. Indicator
HTF Candle Dynamics [LuxAlgo]The HTF Candle Dynamics indicator provides traders with a comprehensive view of Higher Timeframe (HTF) price action and volume distribution directly on their lower timeframe charts. By projecting the current developing HTF candle and its internal volume characteristics to the right of the price, users can maintain high-level context without switching tabs.
Note: Ensure the chart timeframe is lower than the selected HTF setting for the indicator to function correctly.
🔶 USAGE
This tool is designed to bridge the gap between execution timeframes and higher-level market structures. It is particularly useful for scalpers and day traders who need to stay aware of Daily or Weekly levels while trading on 1-minute or 5-minute charts.
🔹 HTF Candle Projection
Visualizes the current HTF period (e.g., Daily, Weekly) as a dynamic candle on the right side of the chart. It includes projections for the HTF Open, High, Low, and Close levels. These levels often act as significant psychological barriers where price might find support or resistance.
🔹 Intraday Volume Profile
Generates a volume profile specifically for the current HTF period. This allows traders to see where the most volume is being transacted within the developing candle. Identifying "High Volume Nodes" within the current HTF candle can signal where institutional interest is concentrated.
🔹 Dynamic POC Tracking
A polyline tracks the movement of the Point of Control (POC) throughout the HTF period, showing how the most traded price level has shifted over time. If the POC is trending upward alongside price, it confirms a healthy bullish trend; if price moves away from a static POC, it might indicate a potential mean reversion back to that high-volume level.
🔹 How to Use
Traders can utilize this indicator to align their intraday trades with the broader market direction:
Identifying Value : Use the Intraday Volume Profile to spot the Point of Control. If the price is trading above the POC, the market is currently in a premium zone for that HTF. If it is below, it may be considered "discounted" relative to the volume transacted so far.
Breakout Confirmation : When price breaks the High or Low of the projected HTF candle, traders look for volume expansion within the profile to confirm if the breakout has significant participation.
Mean Reversion : The Dynamic POC line acts as a magnet. If price overextends significantly from the POC line, traders often look for signs of exhaustion to play a move back toward the high-volume area.
🔶 DETAILS
The indicator uses security calls to fetch historical HTF data while calculating the current developing period in real-time. A dedicated status table ensures the selected HTF is valid relative to the chart timeframe to prevent calculation errors.
🔹 History Dashboard
The dashboard provides a statistical breakdown of the previous three HTF candles (T-1, T-2, T-3). This is crucial for "Contextual Trading." By seeing the OHLC values and Volume Delta of the previous periods, you can determine if the market is experiencing "Expansion" (increasing volume and candle size) or "Contraction" (decreasing volume and tighter ranges).
🔹 Volume Delta
The Volume Delta shown in the history dashboard is an approximation calculated by summing volume based on the direction of individual intraday candles.
🔶 SETTINGS
HTF Setting : Defines the timeframe for the candle projection and volume profile (default is "D").
Right Offset : Adjusts the horizontal position of the projected candle and labels to avoid overlapping with price.
Visuals : Full control over bullish/bearish colors, POC lines, and projection offsets.
Volume Profile : Toggle the profile visibility and customize the number of rows or the maximum width of the bars.
History Dashboard : Toggle the history dashboard and adjust its position (Top Right, Bottom Right, etc.) or size.
Indicator
HTF Candle Architecture [BigBeluga]🔵 OVERVIEW
HTF Candle Architecture is an advanced higher-timeframe (HTF) structural visualization tool that reconstructs and projects HTF candles directly onto any lower-timeframe chart.
Instead of relying on standard timeframe switching, the indicator builds synthetic HTF candles in real time, exposing their internal architecture — High, Low, Open, and Close — as dynamic price levels that extend into the future.
This tool is designed to help traders read higher-timeframe intent, structure, and control points while operating on lower timeframes with precision.
🔵 CORE IDEA
Markets are governed by higher-timeframe structure, even when trading lower timeframes.
HTF candles define key decision levels where liquidity, rejection, and continuation often occur.
By reconstructing HTF candles bar-by-bar, traders can track their evolution instead of waiting for candle close.
🔵 HOW THE INDICATOR WORKS
HTF Candle Reconstruction
The indicator uses the selected HTF timeframe (e.g., Daily, 4H, 1H).
Each time a new HTF candle begins, the previous HTF candle’s OHLC values are stored.
While the current HTF candle is forming, its High and Low are continuously updated in real time.
This creates a live HTF candle that evolves with every lower-timeframe bar.
Synthetic Candle Architecture
Each HTF candle is drawn using:
A vertical wick (High–Low range)
A candle body (Open–Close)
Candles are color-coded automatically:
Bullish candle → bullish color
Bearish candle → bearish color
This makes HTF direction visually clear without changing chart timeframe.
🔵 OHLC LEVEL PROJECTION LOGIC
High, Low, Open, and Close levels from each HTF candle can be enabled independently.
Each level is projected forward by a user-defined offset .
Projected levels act as:
HTF support and resistance
Liquidity interaction zones
Execution reference points for lower-timeframe entries
Different line styles (Solid / Dashed / Dotted) can be assigned per level for clarity.
🔵 MULTI-CANDLE STRUCTURE
Up to four HTF candles can be displayed simultaneously.
Older candles provide historical context.
The most recent candle shows active HTF structure.
Each candle is offset horizontally to prevent overlap and preserve readability.
🔵 REAL-TIME VS COMPLETED CANDLES
Completed HTF candles represent confirmed structure.
The real-time HTF candle shows how current price is building relative to higher-timeframe extremes.
This allows traders to anticipate HTF reactions before candle close.
🔵 VISUAL & STRUCTURAL DETAILS
Top label displays selected higher timeframe.
Optional labels display exact OHLC prices and candle index.
Small circular markers highlight exact OHLC anchor points on the chart.
Background shading marks the moment a new HTF candle begins.
A timeframe label confirms the active HTF reference.
🔵 PRACTICAL USE CASES
Trade lower timeframes in alignment with HTF candle bias.
Use HTF Open and Close as directional bias levels.
Use HTF High and Low as liquidity sweep and rejection zones.
Combine with order blocks, volume tools, or market structure indicators.
🔵 CONCLUSION
HTF Candle Architecture transforms higher-timeframe candles into actionable structure on any chart.
By exposing the internal OHLC architecture of HTF candles — both completed and forming — the indicator bridges the gap between macro structure and micro execution, allowing traders to align precision entries with dominant market intent. Indicator
HTF Frequency Zone [BigBeluga]🔵 OVERVIEW
HTF Frequency Zone highlights the dominant price level (Point of Control) and the full high–low expansion of any higher timeframe — Daily, Weekly, or Monthly. It captures the frequency of closes inside each HTF candle and plots the most traded “frequency zone”, allowing traders to easily see where price spent the most time and where buy/sell pressure accumulated.
This tool transforms each higher-timeframe bar into a fully visualized structure:
• Top = HTF high
• Bottom = HTF low
• Midline = HTF Frequency POC
• Color-coded zones = bullish or bearish bias
• Labels = counts of bullish and bearish candles inside the HTF range
It is designed to give traders an immediate understanding of high-timeframe balance, imbalance, and price attraction zones.
🔵 CONCEPTS
HTF Partitioning — Each Weekly/Daily/Monthly candle is converted into a dedicated zone with its own High, Low, and Frequency Point of Control.
Frequency POC (Most Touched Price) — The indicator divides the HTF range into 100 bins and counts how many times price closed near each level.
Dominant Zone — The level with the highest frequency becomes the HTF “Value Zone,” plotted as a bold central line.
Directional Bias —
• Bullish HTF zone
• Bearish HTF zone
Internal Candle Counting — Within each HTF period the indicator counts:
• Buy candles (close > open)
• Sell candles (close < open)
This reveals whether intraperiod flow was bullish or bearish.
HTF Structure Blocks — High, Low, and POC are connected across the entire higher-timeframe duration, showing the real shape of HTF balance.
🔵 FEATURES
Automatic HTF Zone Construction — Generates a complete price zone every time the selected timeframe flips (Daily / Weekly / Monthly).
Dynamic High & Low Extraction — The indicator scans every bar inside the HTF window to find true extremes of the range.
100-Level Frequency Scan — Each close within the period is assigned to a bin, creating a detailed distribution of price interaction.
HTF POC Highlighting — The most frequent price level is plotted with a bold red line for immediate visual clarity.
Bull/Bear Coloring —
• Green → Bullish HTF zone.
• Orange → Bearish HTF zone.
Zone Shading — High–Low range is filled with a semi-transparent color matching trend direction.
Buy/Sell Candle Counters — Printed at the top and bottom of each HTF block, showing how many internal candles were bullish or bearish.
POC Label — Displays frequency count (how many touches) at the POC level.
Adaptive Threshold Warning — If bars inside the HTF window are too few (<10), the indicator warns the trader to switch timeframe.
🔵 HOW TO USE
Higher-Timeframe Biasing — Read the zone color to determine if the HTF candle leaned bullish or bearish.
Value Zone Reactions — Price often reacts to the Frequency POC; use it as support/resistance or liquidity magnet.
Range Context — Identify when price is trading near HTF highs (breakout potential) or lows (reversal potential).
Momentum Evaluation — More bullish internal candles = internal buying pressure; more bearish = internal selling pressure.
Swing Trading — Use HTF zones as the “macro map,” then execute trades on lower timeframes aligned with the zone structure.
Liquidity Awareness — The HTF POC often aligns with algorithmic liquidity levels, making it a strong reaction point.
🔵 CONCLUSION
HTF Frequency Zone transforms raw higher-timeframe candles into detailed distribution zones that reveal true market behavior inside the HTF structure. By showing highs, lows, buying/selling activity, and the most interacted price level (Frequency POC), this tool becomes invaluable for traders who want to align executions with powerful HTF levels, liquidity magnets, and structural zones. Indicator
ICT Essentials [LDT]ICT Essentials
Overview
ICT Essentials is an all-in-one trading utility built to create a natural and efficient workflow for ICT-based traders.
Every component has been designed to integrate seamlessly and update dynamically across timeframes.
The indicator focuses on clarity, performance and customization, allowing traders to tailor every part of their trading experience.
Equal Highs & Lows
This feature automatically detects and marks Equal Highs (EQH) and Equal Lows (EQL) with full control over visuals and behavior.
Users can customize line colors, widths, and styles, label size, color, background transparency and text offset.
The logic uses an optimized scanning and caching system that maintains smooth performance even on higher timeframes.
It provides a precise and adaptive way to identify structural liquidity points whilst keeping the chart clean and readable.
Killzones & Session Pivots
Plots the main trading sessions such as Asia, London and New York (AM, Lunch, PM) with full flexibility and styling options.
Each session can be enabled or disabled individually, with its own color, transparency and label preferences.
Session highs and lows are automatically tracked and plotted as pivots with extension modes like Until Mitigated or Past Mitigation.
This system gives traders the ability to organize market sessions exactly how they prefer whilst keeping the chart consistent and efficient.
Daily Pivots and Tier System
Alongside session pivots, the script tracks daily highs and lows to provide a broader structural view of price. These pivots are stored and displayed on the chart with their appearance updating automatically when price interacts with them.
The system includes a unique tier-based visibility filter that maintains a clean chart by preventing duplicate or overlapping pivots. Recent daily pivots are cached and compared to session pivots and when two levels fall within a defined proximity, the redundant one is automatically hidden. This creates a clear hierarchy of daily and session levels, keeping the most relevant structure visible whilst removing noise.
All aspects of the daily pivot system are fully customizable, including the number of tracked pivots, color, style settings and how mitigated levels are handled. The caching and filtering logic ensures smooth performance and a visually organized workspace even as the data updates in real time.
Key Times
Allows up to five custom key time markers such as the Midnight Open, 6:00 AM or 10:00 AM.
Each marker can be fully customized with its own text, color, line style and thickness.
This makes it simple to visualize key reaction points that align with each traders timing model.
Higher Timeframe Candles
Displays higher timeframe candles such as 1H, 4H or Daily directly on the active chart to provide context without switching views.
Users can customize body, wick and border colors, along with adding optional trace lines for the open, close, high and low and can also show the countdown timers for remaining candle time.
Adjustable spacing, positioning and label visibility makes the display blend naturally with any trading setup.
This module helps traders connect multiple timeframes visually in a clean and intuitive way.
Watermark
Adds a customizable watermark with title, subtitle and symbol or timeframe information.
Every element can be adjusted for color, size, transparency, alignment and position.
The result is a polished, professional chart layout that adapts to the user's personal style.
Optimization and Design
ICT Essentials is built for performance, using cached arrays and lightweight calculations to maintain responsiveness on all timeframes.
Each feature can be toggled individually to suit the traders focus or system performance.
The script delivers a fluid, customizable and highly optimized trading experience designed to feel natural and effortless in day-to-day use.
Credits
This script takes reference and inspiration from several open-source indicators:
Equal Highs and Lows by jzstur
ICT HTF Candles (fadi) by fadizeidan
ICT Killzones + Pivots EP by tradeforopp
AG FX - Watermark by AGFXTRADING
All components have been refactored, optimized and unified into a single framework for a smoother and more efficient workflow. Indicator
Double Moving Average█ OVERVIEW
The Double Moving Average (DMA) smooths one moving average with a second moving average.
Includes moving average type, higher timeframe, offset, alerts, and style settings for all of the indicator's visual components. This indicator includes an optional line and label to indicate the latest value of the DMA that repaints.
█ CONCEPTS
Shorter term moving averages, especially in choppy markets, can rapidly increase and decrease their slope. Which could lead some traders into assuming that the series trend may continue at that steeper slope. By smoothing a moving average with another one, the magnitude of rapid choppy movements is mitigated.
█ FEATURES
DMA Customization
Most inputs have a tooltip that can be read by interacting with the information icon to guide users.
For both moving averages in the DMA, users can set the lookback length and moving average type independently. Available moving average types include:
Simple Moving Average
Exponential Moving Average
Hull Moving Average
Weighted Moving Average
Volume Weighted Moving Average
A bar offset setting is included for shifting the indicator's placement. Using different lookback combinations for both averages alongside an offset can create equivalent values of other types of moving averages not included in this indicator. For example, if the default lookback settings are offset by 1 bar, this duplicates a 4 period centered moving average.
Colors for the DMA's plot can toggle between a single "base" color, or using increasing and decreasing colors. Changing the plot's style, line style, and width is also supported.
Latest Value Line and Label
The latest value of the DMA plot is replaced by default with a feature called the Latest Value Line and Label: a stylized line and label to help indicate the part of the indicator that can repaint from the parts that don't repaint. Data used to draw this feature is calculated separately from the indicator's confirmed historical calculations.
A label is included to display the latest value of the DMA which includes complete style settings. The style of both the line and label are completely customizable; every style feature that can be included has a corresponding input you can set.
Toggling off the Latest Value Line and Label feature will cause all the respective style inputs to deactivate so that they're no longer in focus or editable until the feature is toggled on again.
Higher Timeframes
Users can plot the DMA from higher timeframes on their chart.
As new bars print, the non-repainting DMA historical plot uses the last confirmed higher timeframe value. The repainting Latest Value Line and Label will update with the most recent higher timeframe value only for the latest bar. If the Latest Value Line feature is toggled off, the last confirmed higher timeframe DMA value is plotted up to the latest bar.
The built-in Moving Average Simple (SMA) indicator includes several of the features in this indicator, like an option for using higher timeframe. However, by default, it plots no values except on bars with higher timeframe close updates. Disabling "Wait for timeframe closes" to get values between updates causes repainting in both replay mode and realtime bars.
Since the calculations that repaint are separate and optional in the DMA indicator, historical plotted values will not repaint in replay mode or on realtime bars while using higher timeframes.
Alerts
There are two DMA value options when creating an alert:
DMA Latest Value: Use the latest updating DMA Value. The same value as the Latest Value Line.
DMA Last Confirmed Value: Use the last historical closed DMA value.
The default alert option is DMA Latest because most users expect alerts when the price crosses the latest updating DMA value. The Last Confirmed Value alert option uses the DMA value from the latest confirmed historical bar.
When creating an alert you should see a "Caution!" warning saying, "This is due to calculations being based on an indicator or strategy that can get repainted." This warning is intentional because the DMA indicator's Latest Value Line and Label feature is supposed to repaint in order to display the latest value.
█ FOR Pine Script™ CODERS
StyleLibrary is used to create user-friendly plot, line, and label style enum type inputs. The library's functions then take those user inputs and convert them into the appropriate values/built-in constants to customize styles for plot, line, and label functions.
Titles for #region blocks are included after #endregion statements for clarity when multiple #endregion statements occur.
This indicator utilizes the new active parameter for style inputs of togglable features.
Indicator
Higher Timeframe TrendMap [BigBeluga]🔵HTF TrendMap
A powerful visual overlay that brings higher timeframe market structure directly onto your intraday chart.
This tool maps directional bias, trend strength, and dynamic range boundaries from a user-selected HTF (like Daily or 4H), offering a real-time confluence layer for scalpers, day traders, and swing traders.
By plotting the evolving average (HL2), it acts as a volatility-weighted trend anchor, allowing you to align lower timeframe entries with higher timeframe intent.
Technical Overview:
At the close of each higher timeframe (HTF) candle, the indicator stores the high, low, and calculates the HL2 midpoint. These values are then referenced on the lower timeframe chart to plot trend direction and price boundaries.
🔵 KEY FEATURES
Maps the selected higher timeframe (HTF) (e.g., Daily) onto your current chart.
At the close of each HTF candle , it starts to calculate and store the highest, lowest, and average (HL2) price levels .
The average (HL2) value is treated as the HTF trend baseline —plotted in orange for uptrend , blue for downtrend .
Visual curve thickens and fades to show progress through the HTF period (stronger color = fresher data).
Horizontal dashed lines show HTF high and low levels that persist until the next period closes.
On every HTF close, two price labels are printed for the high and low levels.
Vertical separators visually mark the start of each HTF candle for easy structural recognition.
A real-time dashboard shows selected HTF, current trend direction (🢁/🢃), and updates dynamically.
🔵 HOW TO USE
Use the HTF average line as a bias filter —only long when the trend is up (orange), short when down (blue).
HTF high/low labels help identify key breakout or rejection zones .
Combine with intraday systems or reversal tools for multi-timeframe confluence setups .
Ideal for scalpers and swing traders who rely on HTF momentum shifts .
🔵 CONCLUSION
HTF TrendMap provides a clean, data-rich layer of higher timeframe context to any chart. With adaptive trend coloring, volatility mapping, and real-time data labeling, it enables traders to stay in sync with macro structure while executing on the micro. Indicator
CSCMultiTimeframeToolsLibrary "CSCMultiTimeframeTools"
Calculates instant higher timeframe values for higher timeframe analysis with zero lag.
getAdjustedLookback(current_tf_minutes, higher_tf_minutes, length)
Calculate adjusted lookback period for higher timeframe conversion.
Parameters:
current_tf_minutes (int) : Current chart timeframe in minutes (e.g., 5 for 5m).
higher_tf_minutes (int) : Target higher timeframe in minutes (e.g., 15 for 15m).
length (int) : Base length value (e.g., 14 for RSI/MFI).
Returns: Adjusted lookback period (length × multiplier).
Purpose and Benefits of the TimeframeTools Library
This library is designed to solve a critical pain point for traders who rely on higher timeframe (HTF) indicator values while analyzing lower timeframe (LTF) charts. Traditional methods require waiting for multiple candles to close—for example, to see a 1-hour RSI on a 5-minute chart, you’d need 12 closed candles (5m × 12 = 60m) before the value updates. This lag means missed opportunities, delayed signals, and inefficient decision-making.
Why Traders Need This
Whether you’re scalping (5M/15M) or swing trading (1H/4H), this library bridges the gap between timeframes, giving you HTF context in real time—so you can act faster, with confidence.
How This Library Eliminates the Waiting Game
By dynamically calculating the adjusted lookback period, the library allows:
Real-time HTF values on LTF charts – No waiting for candle closes.
Accurate conversions – A 14-period RSI on a 1-hour chart translates to 168 periods (14 × 12) on a 5-minute chart, ensuring mathematical precision.
Flexible application – Works with common indicators like RSI, MFI, CCI, and moving averages (though confirmations should be done before publishing under your own secondary use).
Key Advantages Over Manual Methods
Speed: Instantly reflects HTF values without waiting for candle resolutions.
Adaptability: Adjusts automatically if the user changes timeframes or lengths.
Consistency: Removes human error in manual period calculations.
Limitations to Note
Not a magic bullet – While it solves the lag issue, traders should still:
Validate signals with price action or additional confirmations.
Be mindful of extreme lookback lengths (e.g., a 200-period daily SMA on a 1-minute chart requires 28,800 periods, which may strain performance). Library
Indicator
Real-Time HTF Volume Footprint [BigBeluga]Real-time HTF Volume Footprint Profile is designed to provide a comprehensive view of higher timeframe volume profiles on your current chart. It overlays critical volume information from larger timeframes (like daily, weekly, or monthly) onto lower timeframe charts, helping you spot significant levels where volume is concentrated, acting as potential support or resistance.
🔵 Key Features:
HTF High and Low Zones: The indicator highlights the high and low of the chosen higher timeframe with clear zones, marking them with boxes. These zones help you see the broader market structure at a glance.
Volume Profile within HTF Range: Each higher timeframe range displays a volume profile, showing the distribution of volume at each price level. The most-traded price is highlighted in blue, known as the Point of Control (POC), indicating the price level with the highest activity.
Dynamic POC Option: Activate Dynamic POC to observe how the Point of Control shifts over time, giving insight into changing market interests and potential price direction.
Timeframe Flexibility: Select from daily, weekly, and monthly ranges (and more) to overlay their footprint profiles on your lower timeframe chart. This helps you tailor the indicator to the trading horizon that suits your strategy.
Info Table: Table shows a traders which timeframe is selected with last high and low of the selected timeframe
Visual Clarity with Custom Colors: The indicator uses subtle fills and distinct colors to ensure volume profile data integrates seamlessly into your chart without overwhelming other indicators or price data.
🔵 When to Use:
The HTF Volume Footprint Profile is essential for traders who want to bridge the gap between high-timeframe and intraday analysis. By visualizing HTF volume distribution on lower timeframes, this tool helps you:
Spot potential liquidity zones where price might react.
Identify support and resistance levels within HTF ranges.
Monitor PoC shifts that indicate changes in market behavior.
Track how current price aligns with significant volume clusters, providing a clear edge for volume-based strategies.
This indicator empowers traders to analyze lower timeframes with the context of higher timeframe volume profiles, providing a solid basis for identifying critical support and resistance levels shaped by large volume clusters. Whether you’re looking to spot liquidity zones or align your trades with broader market trends, HTF Volume Footprint Profile equips you with a strategic view. Indicator
Momentum Nexus Oscillator [UAlgo]The "Momentum Nexus Oscillator " indicator is a comprehensive momentum-based tool designed to provide traders with visual cues on market conditions using multiple oscillators. By combining four popular technical indicators—RSI (Relative Strength Index), VZO (Volume Zone Oscillator), MFI (Money Flow Index), and CCI (Commodity Channel Index)—this heatmap offers a holistic view of the market's momentum.
The indicator plots two lines: one representing the current chart’s combined momentum score and the other representing a higher timeframe’s (HTF) score, if enabled. Through smooth gradient color transitions and easy-to-read signals, the Momentum Nexus Heatmap allows traders to easily identify potential trend reversals or continuation patterns.
Traders can use this tool to detect overbought or oversold conditions, helping them anticipate possible long or short trade opportunities. The option to use a higher timeframe enhances the flexibility of the indicator for longer-term trend analysis.
🔶 Key Features
Multi-Oscillator Approach: Combines four popular momentum oscillators (RSI, VZO, MFI, and CCI) to generate a weighted score, providing a comprehensive picture of market momentum.
Dynamic Color Heatmap: Utilizes a smooth gradient transition between bullish and bearish colors, reflecting market momentum across different thresholds.
Higher Timeframe (HTF) Compatibility: Includes an optional higher timeframe input that displays a separate score line based on the same momentum metrics, allowing for multi-timeframe analysis.
Customizable Parameters: Adjustable RSI, VZO, MFI, and CCI lengths, as well as overbought and oversold levels, to match the trader’s strategy or preference.
Signal Alerts: Built-in alert conditions for both the current chart and higher timeframe scores, notifying traders when long or short entry signals are triggered.
Buy/Sell Signals: Displays visual signals (▲ and ▼) on the chart when combined scores reach overbought or oversold levels, providing clear entry cues.
User-Friendly Visualization: The heatmap is separated into four sections representing each indicator, providing a transparent view of how each contributes to the overall momentum score.
🔶 Interpreting Indicator:
Combined Score
The indicator generates a combined score by weighing the individual contributions of RSI, VZO, MFI, and CCI. This score ranges from 0 to 100 and is plotted as a line on the chart. Lower values suggest potential oversold conditions, while higher values indicate overbought conditions.
Color Heatmap
The indicator divides the combined score into four distinct sections, each representing one of the underlying momentum oscillators (RSI, VZO, MFI, and CCI). Bullish (greenish) colors indicate upward momentum, while bearish (grayish) colors suggest downward momentum.
Long/Short Signals
When the combined score drops below the oversold threshold (default is 26), a long signal (▲) is displayed on the chart, indicating a potential buying opportunity.
When the combined score exceeds the overbought threshold (default is 74), a short signal (▼) is shown, signaling a potential sell or short opportunity.
Higher Timeframe Analysis
If enabled, the indicator also plots a line representing the combined score for a higher timeframe. This can be used to align lower timeframe trades with the broader trend of a higher timeframe, providing added confirmation.
Signals for long and short entries are also plotted for the higher timeframe when its combined score reaches overbought or oversold levels.
🔶Purpose of Using Multiple Technical Indicators
The combination of RSI, VZO, MFI, and CCI in the Momentum Nexus Heatmap provides a comprehensive approach to analyzing market momentum by leveraging the unique strengths of each indicator. This multi-indicator method minimizes the limitations of using just one tool, resulting in more reliable signals and a clearer understanding of market conditions.
RSI (Relative Strength Index)
RSI contributes by measuring the strength and speed of recent price movements. It helps identify overbought or oversold levels, signaling potential trend reversals or corrections. Its simplicity and effectiveness make it one of the most widely used indicators in technical analysis, contributing to momentum assessment in a straightforward manner.
VZO (Volume Zone Oscillator)
VZO adds the critical element of volume to the analysis. By assessing whether price movements are supported by significant volume, VZO distinguishes between price changes that are driven by real market conviction and those that might be short-lived. It helps validate the strength of a trend or alert the trader to potential weakness when price moves are unsupported by volume.
MFI (Money Flow Index)
MFI enhances the analysis by combining price and volume to gauge money flow into and out of an asset. This indicator provides insight into the participation of large players in the market, showing if money is pouring into or exiting the asset. MFI acts as a volume-weighted version of RSI, giving more weight to volume shifts and helping traders understand the sustainability of price trends.
CCI (Commodity Channel Index)
CCI contributes by measuring how far the price deviates from its statistical average. This helps in identifying extreme conditions where the market might be overextended in either direction. CCI is especially useful for spotting trend reversals or continuations, particularly during market extremes, and for identifying divergence signals.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results. Indicator
HTF Candle Insights (Expo)█ Overview
The HTF Candle Insights indicator helps traders see what's happening in larger time frames (HTF) while they're looking at smaller ones. This tool lets traders get a complete picture of market trends and price movements, helping them make smarter trading choices. It's really useful for traders who want to understand the main market trends without constantly switching between different chart timeframes.
In simpler terms , this indicator brings the big picture into the smaller frame, so traders don't miss out on what's important while focusing on the details.
█ How It Works
The indicator plots HTF candles on the existing chart, allowing users to view them concurrently with the candles of the current timeframe. This dual visual representation helps in discerning the prevalent market trends and significant price levels from both the current and higher timeframes.
█ How to Use
Trend Analysis
Traders can leverage this indicator to analyze overall market trends by observing HTF candles alongside the current timeframe candles. Recognizing HTF trends aids in aligning trades with the dominant market movement, potentially increasing the probability of successful trades.
Support and Resistance Identification
By viewing the high, low, and mid-levels of HTF candles, traders can identify potential support and resistance zones, enabling them to establish strategic entry and exit points, place stop-losses effectively, and manage risk proficiently.
█ Settings
Timeframe and Candle Amount:
Users can specify the higher timeframe and the number of HTF candles they wish to visualize on their current chart.
Visual Adjustments:
Traders can customize the color schemes for upward and downward candles and their wicks, and adjust the visibility and colors of the range lines, allowing for a tailored visual experience.
Range Lines:
Users have the option to display the high/low range of the displayed candles, and, if preferred, the mid-range line, enabling them to gain insights into significant price levels and ranges.
Table Display:
The indicator offers the ability to display a table, which provides an overview of the current chart's timeframe and the specified HTF.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Indicator
libHTF[without request.security()]Library "libHTF"
libHTF: use HTF values without request.security()
This library enables to use HTF candles without request.security().
Basic data structure
Using to access values in the same manner as series variable.
The last member of HTF array is always latest current TF's data.
If new bar in HTF(same as last bar closes), new member is pushed to HTF array.
2nd from the last member of HTF array is latest fixed(closed) bar.
HTF: How to use
1. set TF
tf_higher() function selects higher TF. TF steps are ("1","5","15","60","240","D","W","M","3M","6M","Y").
example:
tfChart = timeframe.period
htf1 = tf_higher(tfChart)
2. set HTF matrix
htf_candle() function returns 1 bool and 1 matrix.
bool is a flag for start of new candle in HTF context.
matrix is HTF candle data(0:open,1:time_open,2:close,3:time_close,4:high,5:time:high,6:low,7:time_low).
example:
=htf_candle(htf1)
3. how to access HTF candle data
you can get values using .lastx() method.
please be careful, return value is always float evenif it is "time". you need to cast to int time value when using for xloc.bartime.
example:
htf1open=m1.lastx("open")
htf1close=m1.lastx("close")
//if you need to use histrical value.
lastopen=open
lasthtf1open=m1.lastx("open",1)
4. how to store Data of HTF context
you have to use array to store data of HTF context.
array.htf_push() method handles the last member of array. if new_bar in HTF, it push new member. otherwise it set value to the last member.
example:
array a_close=array.new(1,na)
a_close.htf_push(b_new_bar1,m1.lastx("close"))
HTFsrc: How to use
1. how to setup src.
set_src() function is set current tf's src from string(open/high/low/close/hl2/hlc3/ohlc4/hlcc4).
set_htfsrc() function returns src array of HTF candle.
example:
_src="ohlc4"
src=set_src(_src)
htf1src=set_htfsrc(_src,b_new_bar1,m1)
(if you need to use HTF src in series float)
s_htf1src=htf1src.lastx()
HighLow: How to use
1. set HTF arrays
highlow() and htfhighlow() function calculates high/low and return high/low prices and time.
the functions return 1 int and 8arrays.
int is a flag for new high(1) or new low(-1).
arrays are high/low and return high/low data. float for price, int for time.
example
=
highlow()
=
htfhighlow(m1)
2. how to access HighLow data
you can get values using .lastx() method.
example:
if i_renew==1
myhigh=a_high.lastx()
//if you need to use histrical value.
myhigh=a_high.lastx(1)
other functions
functions for HTF candle matrix or HTF src array in this script are
htf_sma()/htf_ema()/htf_rma()
htf_rsi()/htf_rci()/htf_dmi()
method lastx(arrayid, lastindex)
method like array.last. it returns lastindex from the last member, if parameter is set.
Namespace types: float
Parameters:
arrayid (float )
lastindex (int) : (int) default value is "0"(the last member). if you need to access historical value, increment it(same manner as series vars).
Returns: float value of lastindex from the last member of the array. returns na, if fail.
method lastx(arrayid, lastindex)
method like array.last. it returns lastindex from the last member, if parameter is set.
Namespace types: int
Parameters:
arrayid (int )
lastindex (int) : (int) default value is "0"(the last member). if you need to access historical value, increment it(same manner as series vars).
Returns: int value of lastindex from the last member of the array. returns na, if fail.
method lastx(m, _type, lastindex)
method for handling htf matrix.
Namespace types: matrix
Parameters:
m (matrix) : (matrix) matrix for htf candle.
_type (string) : (string) value type of htf candle:
lastindex (int) : (int) default value is "0"(the last member).
Returns: (float) value of htf candle. (caution: need to cast float to int to use time values!)
method set_last(arrayid, val)
method to set a value of the last member of the array. it sets value to the last member.
Namespace types: float
Parameters:
arrayid (float )
val (float) : (float) value to set.
Returns: nothing
method htf_push(arrayid, b, val)
method to push new member to htf context. if new bar in htf, it works as push. else it works as set_last.
Namespace types: float
Parameters:
arrayid (float )
b (bool) : (bool) true:push,false:set_last
val (float) : (float) _f the value to set.
Returns: nothing
method tf_higher(tf)
method to set higher tf from tf string. TF steps are .
Namespace types: series string, simple string, input string, const string
Parameters:
tf (string) : (string) tf string
Returns: (string) string of higher tf.
htf_candle(_tf, _TZ)
build htf candles
Parameters:
_tf (string) : (string) tf string.
_TZ (string) : of timezone. default value is "GMT+3".
Returns: bool for new bar@htf and matrix for snapshot of htf candle
set_src(_src_type)
set src.
Parameters:
_src_type (string) : (string) type of source:
Returns: (series float) src value
set_htfsrc(_src_type, _nb, _m)
set htf src.
Parameters:
_src_type (string) : (string) type of source:
_nb (bool) : (bool) flag of new bar
_m (matrix) : (matrix) matrix for htf candle.
Returns: (array) array of src value
is_up()
last_is_up()
peak_bottom(_latest, _last)
Parameters:
_latest (bool)
_last (bool)
htf_is_up(_m)
Parameters:
_m (matrix)
htf_last_is_up(_m)
Parameters:
_m (matrix)
highlow(_b_bartime_price)
Parameters:
_b_bartime_price (bool)
htfhighlow(_m, _b_bartime_price)
Parameters:
_m (matrix)
_b_bartime_price (bool)
htf_sma(_a_src, _len)
Parameters:
_a_src (float )
_len (int)
htf_rma(_a_src, _new_bar, _len)
Parameters:
_a_src (float )
_new_bar (bool)
_len (int)
htf_ema(_a_src, _new_bar, _len)
Parameters:
_a_src (float )
_new_bar (bool)
_len (int)
htf_rsi(_a_src, _new_bar, _len)
Parameters:
_a_src (float )
_new_bar (bool)
_len (int)
rci(_src, _len)
Parameters:
_src (float)
_len (int)
htf_rci(_a_src, _len)
Parameters:
_a_src (float )
_len (int)
htf_dmi(_m, _new_bar, _len, _ma_type)
Parameters:
_m (matrix)
_new_bar (bool)
_len (int)
_ma_type (string) Library
HTF Support & Resistance [QuantVue]The "HTF Support / Resistance" indicator highlights critical price levels across multiple timeframes helping you recognize major support/resistance areas.
Whether you're a day trader needing to understand the current day's price action, or a long-term investor looking to analyze yearly trends, this indicator can be a valuable addition to your trading toolkit.
The daily levels, which can be enabled or disabled according to your preference, will give you insights into the open, high, and low levels for the current and previous day.
Similarly, weekly levels provide information for the current and previous weeks, while monthly levels cover the current and previous months.
In addition, the indicator offers more extended views through its quarterly and yearly levels. These will help you understand long-term trends and major support/resistance areas, and they can be particularly beneficial for major support/resistance levels.
Features:
🔹Visualization: View support and resistance levels from Daily, Weekly, Monthly, Quarterly, and Yearly timeframes.
🔹Customizable Appearance: Tailor the display colors and line styles for each level according to your preferences.
🔹Clear Labeling: Each level is clearly labeled for quick identification.
🔹Extension Option: Opt to extend the support and resistance lines across the chart for better visualization.
Give this indicator a BOOST and COMMENT your thoughts!
We hope you enjoy.
Cheers. Indicator
Support Resistance Classification (VR) [LuxAlgo]The Support Resistance Classification (VR) indicator shows SR levels on any chart's visible range using higher time-frame data (HTF). Levels are classified 1 through 10 based on their strength, with lower values indicating stronger support/resistance levels.
This indicator uses visible range functionality, whereas if you adjust your chart to show previous price data, the indicator may show new levels.
🔶 USAGE
Certain indicators on higher timeframes can provide longer term support/resistance levels on lower timeframes. Users can use the provided levels on a chart visible range and use them as reference for future support/resistance levels.
The classification algorithm measures the strength of a support/resistance level using the entire chart visible range and is in a range of 1 to 10, with higher values indicating a weaker support/resistance.
Supports/resistances highlighted by the indicator can be used for future applications by marking them on the chart (quickly done with alt + h).
🔶 DETAILS
All calculations are based on what you see on the Visible Chart, as such changing the chart will recalculate the indicator.
Since only Swings which are not broken are included, every break would exclude that swing. Therefore, even when 'value' is chosen at Settings ('Value'), breaks are always calculated on the entire line.
🔶 SETTINGS
Fade: After x breaks the line becomes invisible
Value:
value:
• SMA, upper/lower: the breaks are triggered on the moving average itself
• Fibonacci Pivot Point levels, Previous High, Previous Low: only last HTF values can be used for breaks
• Swings (see SWING SETTINGS)
line:
• SMA, upper/lower: the breaks are triggered on the entire line, based on its latest value
• Fibonacci Pivot Point Levels, Previous High, Previous Low: breaks are triggered on the entire line, based on its latest value
• Swings (see SWING SETTINGS)
🔹 Swing Settings
Swings are always calculated at current timeframe, setting a HTF is not applicable on Swings.
Left/Right: for Swing calculation ( pivothigh , pivotlow )
Show: enables you to see the pivot points
🔹 Set
N°: The concerning number
TYPE:
• SMA (Simple Moving Average)
• Previous High/Low
• Upper/Lower ( Bollinger Bands )
• Pivot Point levels : "Fibonacci"
LENGTH: sets the 'Number of bars', needed for calculations (applicable for SMA, upper/lower)
MULT: sets the 'Standard deviation factor' (only applicable for upper/lower - BB)
HTF: sets 'Higher Time Frame' (applicable for SMA, upper/lower, Previous High/Low, Fibonacci)
🔹 Show Values
You can make up to 5 values visible (if you want to check/verify), except for Swings (see SWING SETTINGS)
To do so, enable (A -> E), and choose the N° you want to see.
This also is a useful tool if you're not sure which value you want to set. Indicator
Indicator
Strategy for UT Bot Alerts indicator Using the UT Bot alerts indicator by @QuantNomad, this strategy was designed for showing an example of how this indicator could be used, also, it has the goal to help some people from a group that use to use this indicator for their trading. Under any circumstance I recommend to use it without testing it before in real time.
Backtesting context: 2020-02-05 to 2023-02-25 of BTCUSD 4H by Tvc. Commissions: 0.03% for each entry, 0.03% for each exit. Risk per trade: 2.5% of the total account
For this strategy, 3 indicators are used:
UT Bot Alerts indicator by Quantnomad
One Ema of 200 periods for indicate the trend
Atr stop loss from Gatherio
Trade conditions:
For longs:
Close price is higher than Atr from UT Bot
Ema from UT Bot cross over Atr from UT Bot.
This gives us our long signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 0.75:1 and take profit of 3:1 where half position will be closed. This will be showed as buy (open long position)
The other half will be closed when close price is lower than Atr and Ema from UT Bot cross under Atr. This will be showed as cl buy (close long position)
For shorts:
Close price is lower than Atr from UT Bot
Ema from UT Bot cross over Atr from UT Bot.
This gives us our short signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 0.75:1 and take profit of 3:1 where half position will be closed. This will be showed as sell (open short position)
The other half will be closed when close price is higher than Atr and Ema from UT Bot cross over Atr. This will be showed as cl sell (close short position)
Risk management
For calculate the amount of the position you will use just a small percent of your initial capital for the strategy and you will use the atr stop loss for this.
Example: You have 1000 usd and you just want to risk 2,5% of your account, there is a long signal at price of 20,000 usd. The stop loss price from atr stop loss is 19,000. You calculate the distance in percent between 20,000 and 19,000. In this case, that distance would be of 5,0%. Then, you calculate your position by this way: (initial or current capital * risk per trade of your account) / (stop loss distance).
Using these values on the formula: (1000*2,5%)/(5,0%) = 500usd. It means, you have to use 500 usd for risking 2.5% of your account.
We will use this risk management for apply compound interest.
In settings, with position amount calculator, you can enter the amount in usd of your account and the amount in percentage for risking per trade of the account. You will see this value in green color in the upper left corner that shows the amount in usd to use for risking the specific percentage of your account.
Script functions
Inside of settings, you will find some utilities for display atr stop loss, break evens, positions, signals, indicators, etc.
You will find the settings for risk management at the end of the script if you want to change something. But rebember, do not change values from indicators, the idea is to not over optimize the strategy.
If you want to change the initial capital for backtest the strategy, go to properties, and also enter the commisions of your exchange and slippage for more realistic results.
In risk managment you can find an option called "Use leverage ?", activate this if you want to backtest using leverage, which means that in case of not having enough money for risking the % determined by you of your account using your initial capital, you will use leverage for using the enough amount for risking that % of your acount in a buy position. Otherwise, the amount will be limited by your initial/current capital
---> Do not forget to deactivate Trades on chart option in style settings for a cleaner look of the chart <---
Some things to consider
USE UNDER YOUR OWN RISK. PAST RESULTS DO NOT REPRESENT THE FUTURE.
DEPENDING OF % ACCOUNT RISK PER TRADE, YOU COULD REQUIRE LEVERAGE FOR OPEN SOME POSITIONS, SO PLEASE, BE CAREFULL AND USE CORRECTLY THE RISK MANAGEMENT
Do not forget to change commissions and other parameters related with back testing results!
Strategies for trending markets use to have more looses than wins and it takes a long time to get profits, so do not forget to be patient and consistent !
---> The strategy can still be improved, you can change some parameters depending of the asset and timeframe like risk/reward for taking profits, for break even, also the main parameters of the UT Bot Alerts <----
Strategy
Indicator
Higher Time Frame Average True RangesPurpose: This script will help an options trader asses risk and determine good entry and exit strategies
Background Information: The true range is the greatest of: current high minus the current low; the absolute value of the current high minus the previous close; and the absolute value of the current low minus the previous close. The Average True Range (ATR) is a 14-day moving average of the true range. Traders use the ATR indicator to assess volatility in stocks and decide when to enter and exit trades. It is important to note the limitations of using True Range and ATR: These indications cannot tell you the direction of your options trade (call vs. put) and they cannot tell you whether a particular trend is about to reverse. However, it can be used to assess if volatility has peaked for a particular direction and time period.
How this script works: This indicator calculates true range for the daily (DTR), weekly (WTR), and monthly (MTR) time frames and compares it to the Average True Range (ATR) for each of those time frames (DATR, WATR, and MATR). The comparison is displayed into a colored table in the upper right-hand corner of the screen. When a daily, weekly, or monthly true range reaches 80% of its respective ATR, the row for that time frame will turn Orange indicating medium risk for staying in the trade. If the true range goes above 100% of the respective ATR, then the row will turn Red indicating high risk for staying in the trade. When the row for a time period turns red, volatility for the time period has likely peaked and traders should heavily consider taking profits. It is important to note these calculations start at different times for each time frame: Daily (Today’s Open), Weekly (Monday’s Open), Monthly (First of the Month’s Open). This means if it’s the 15th of the month then the Monthly True Range is being calculated for the trading days in the first half of the month (approximately 10 trade days).
The script also plots three sets of horizontal dotted lines to visually represent the ATR for each time period. Each set is generated by adding and subtracting the daily, weekly, and monthly ATRs from that time periods open price. For example, the weekly ATR is added and subtracted from Mondays open price to visually represent the true range for that week. The DATR is represented by red lines, the WATR is represented by the green lines, and the MATR is represented by the blue lines. These plots could also be used to assess risk as well.
How to use this script: Use the table to assess risk and determine potential exit strategies (Green=Low Risk, Orange=Medium Risk, Red=High Risk. Use the dotted lines to speculate what a stock’s price could be in a given time period (Daily=Red, Weekly=Green, and Monthly=Blue). And don’t forget the true range’s calculation and plots starts at the beginning of each time period! Indicator
