Hullk Autobot
HULLK AUTOBOT
• Long entry positions
• Profit targets
• Stop loss targets
Description
The Fast Signal Line is an extremely fast and smooth moving average indicator, designed to eliminate
the lag typically associated with traditional moving average indicators.
When the price is trending upward the Fast Signal Line is colored light grey then turns orange when
price is trending downward.
How to Trade
It is good practice to assess multiple timeframes to ensure you are mindful of the larger picture. The
15 minute and 4-hour charts are worthy of note.
In addition to displaying the current macro trend, the Fast Signal Line can also be used for judging
entries and exits from trades.
Aggressive traders may choose to trade based on the first touch of the Fast Signal Line whereas
conservative traders may wait for the signal line to be broken and established as a line of support or
resistance before taking action.
Indicator Configuration
The Fast Signal Line’s display and colors can be changed by modifying the ‘Fast Signal’ options in
the indicator’s style settings;
Volume Line
Description
The Volume Line uses short-term historic volume data to determine the balance between demand
and supply.
When volume is supporting price the Volume Line is colored yellow then turns red when the volume is
rejecting the price.
How to Trade
While the Volume Line can indicate support and resistance levels, it is best used to confirm bias
when using the Fast Trend Line indicator to enter or exit trades and can also be used by traders for
stop-loss or take profit entries.
Indicator Configuration
The Volume Line’s display and colors can be changed by modifying the ‘Volume’ options in the
indicator’s style settings;
Trend Line
Description
The Trend Line is a Weighted Moving Average indicator based on a fixed period and is used to
identify the current trend of the market.
When supporting the price, the Trend Line is colored green then turns red when rejecting the price.
How to Trade
Timeframes of 4H and above are best used to determine the current trends, while shorter timeframes
can be used for entering and exiting trades when the trendline is turning in the relevant direction.
Indicator Configuration
The Trend Line’s display and colors can be changed by modifying the ‘Volume’ options in the
indicator’s style settings;
Whales Volume Line
Description
The Whales Volume Line uses long-term historic volume data to determine the balance between
demand and supply dictated by large/institutional traders in the market.
When volume is supporting price the Volume Line is colored yellow then turns red when the volume is
rejecting the price.
How to Trade
While the Whale Volume Line can indicate support and resistance levels, it is best used to confirm
bias when using the Fast Trend Line indicator to enter or exit trades and can also be used by traders
for stop loss or take profit entries.
Indicator Configuration
The Whales Volume Line’s display and colors can be changed by modifying the ‘Whales Volume’
options in the indicator’s style settings;
Trendline Direction Line
Description
The Direction Line is a Weighted Moving Average indicator based on a longer period than the Trend
Line and is used to identify the current direction of the market.
The Direction Line indicator is colored purple when the market direction is up trending and red when
downtrend.
How to Trade
Timeframes of 4H and above are best used to determine current trend, while shorter timeframes
can be used for entering and exiting trades when the trendline is turning in the relevant direction.
Indicator Configuration
The Trendline Direction’s display and colors can be changed by modifying the ‘Trendline Direction’
options in the indicator’s style settings;
Channel Line
Description
The Channel Line is a Least Squares Moving Average indicator based on a fixed period and is used as
a crossover signal to identify bullish or bearish trends ahead of traditional simple or exponential
moving averages.
The Channel Line indicator is colored cyan when the market direction is up trending and red when
downtrend.
How to Trade
When the Channel Line changes to an uptrend along with a recovery in price, traders can use this as a
signal to enter a long position. If the signal changes to a downtrend along with a fall in price, traders
can use this to enter a short position.
Indicator Configuration
The Channel Line’s display and colors can be changed by modifying the ‘Channel’ options in the
indicator’s style settings;
Dip & Pop Signals
Description
Dip and Pop signals occur when the price is likely to make a counter-trend movement before continuing
its direction.
In a bullish trend, a Dip signal suggests that price will move down to test support before continuing,
whereas a Pop signal suggests that price will move up. In a bearish trend, a Pop signal suggests that
price will move up to test resistance before continuing, whereas a Dip signal would suggest price is
likely to continue the trend.
How to Trade
Dip and Pop signals should be used as notification for preparation rather than a call to action as the price
can move unpredictably during volatility.
Indicator Configuration
The Dip & Pop’s display and colors can be changed by modifying the ‘PoP’ & ‘DIP’ options in the
indicator’s style settings;
Entry & Exit Signals
Description
Entry and Exit Signals are indications of when to open and close trades but should be used in
conjunction with other indicators to interpret their meaning.
How to Trade
While Entry and Exit signals can be interpreted as simple long and short entries, their meaning does
change based on trend circumstance. An Entry signal is typically printed price is starting to see a
positive reaction after a drop.
When the Fast Signal, Trend, and Trend Direction lines are indicating an upward trend an Entry signal
signifies a good place to enter a long or exit a short position. However, if the lines are not suggesting
an upward trend then a long signal indicates that any long order should be exited as any new long
orders in this scenario are risky as you would be opening a position at resistance.
Likewise, when indicator lines are indicating a downward trend and an Exit signal is received this
signifies a good place to enter a short or exit a long position. However, if the signal is against the
trendlines then this is a riskier short into support.
Indicator Configuration
The Entry & Exit’s display and colors can be changed by modifying the ‘Entry’ & ‘Exit’ options in the
indicator’s style settings;
If you have any questions or are looking for access please send me a private message.
Thx for your time and support
Cari dalam skrip untuk "trendline"
Trend signal with AlertHello traders,
I updated the Trend signal indicator from @riffster21 () and added alerts to it.
Nothing fancy but still extremely useful
How to use the Trend signal with alerts indicator
In this screenshot, I didn't select the most optimal timeframe, neither the most optimal input for the indicator. I just wanted to explain with a very simple example, how it works and how to use it
Basically, it's being used to simulate obliques trendlines. I draw that one in pink to highligh what is the trendline simulated by the indicator
For Which timeframe ?
It's working for all timeframes.
Recommended input for the indicator ?
The greater the timeframe, the lesser the input should be. Which makes sense because setting a high value period on a weekly chart will give entry/exit signals way too late
On the contrary, on a m5 chart, setting a low value period will give too many fake signals and you'll get angry. I don't want that to happen :)
For crypto intraday trading (meaning m5 to H4), I feel the sweet spot is between 7 and 14 for the indicator input.
For crypto Swing trading (meaning H8 to weekly), an input between 3 and 5 is best
I can only strongly encourage you to apply it on a newly created chart without any other indicator and try to find the best input for the asset. Please note the ideal input might change between assets (example: BTC/USD vs ETH/BTC)
Drawing the corresponding oblique is very important the first time setting them on a chart to find the best setup
Please let me know in the comments section if you have any question
Good luck folks
Dave
Smart Money Concepts [Kodexius]Smart Money Concepts is a price action framework designed to integrate market structure, liquidity behavior, and inefficiencies into a single, readable view. Rather than acting as a signal generator, it serves as a live market map highlighting where price has displaced, where liquidity may be resting, which zones remain valid, and how that context updates as new candles print.
What separates this script from typical “SMC bundles” is not the presence of familiar concepts like swings, order blocks, FVGs or liquidity sweeps. The value is in the engine design and how the components are maintained together as a consistent state, with automatic pruning and prioritization so the chart stays usable over time. Many tools can draw boxes, but fewer tools manage the lifecycle of those zones, reduce overlap, rank relevance, and keep the display focused on what still matters near current price.
At the core is a structure model that tracks directional state and labels structural transitions as they happen. CHoCH and BoS are not just printed whenever price crosses a line. Each event is anchored to a swing reference and handled in a way that reduces repeated triggers from the same context, helping you see genuine transitions versus minor noise. This gives structure a “narrative” across time instead of a cluttered sequence of identical labels.
Order blocks are built from the most relevant candle within the post break window and displayed as true zones that extend forward while they remain valid. Beyond the zone itself, the script adds context that is usually missing in basic OB implementations: a volumetric pressure visualization and a displacement strength score that is normalized and ranked over a rolling window. In practice, this creates an information hierarchy. You can quickly see which zones carried more participation, whether the internal push was dominated by buying or selling pressure, and whether the move that created the zone had meaningful displacement relative to recent history. This is designed to help prioritization, not to claim prediction.
Imbalances are handled as a dedicated module with multiple detection modes (FVG, VI, OG, IFVG) and optional MTF logic so you can map inefficiencies from a higher timeframe while executing on a lower timeframe. Each imbalance is displayed as a zone with a midline reference, and mitigation behavior can be tuned (wick or close). IFVG adds lifecycle depth by tracking inversion behavior rather than simply deleting the zone, which can be useful for monitoring how price rebalances and flips inefficiencies over time. An optional sentiment style internal fill is available for visual context, but it is intentionally framed as informational rather than a “buy/sell meter.”
Liquidity is treated as an event driven layer. Pivot highs and lows are tracked as potential liquidity pools, then monitored for sweeps and rejection behavior. If you enable EQH/EQL logic, the script can label equal highs and lows during the sweep process to highlight common resting liquidity formations. A volume filter is available to reduce low quality levels, aiming to keep the liquidity map focused on swings that occurred with meaningful participation rather than every small fluctuation.
Swing Failure Patterns (SFP) are included as a separate confirmation style tool that focuses on rejection after liquidity is taken. The module supports optional volume validation using lower timeframe volume distribution outside the swing level, which helps filter some low quality SFPs on noisy instruments. The output is a cleaner set of events intended to complement structure, liquidity and zones, not replace discretionary decision making.
For higher timeframe context, the HTF candle projection panel can display a compact set of higher timeframe candles to the right of current price, with classic or Heikin Ashi style and configurable sizing, spacing and labels. This allows you to maintain HTF awareness without switching charts, which is especially helpful when structure and zones are being interpreted across multiple timeframes.
Finally, the alert framework is designed around well defined structural and zone states. Alerts cover structural shifts (CHoCH, BoS), liquidity sweeps, new and broken order blocks, breaker behavior (if enabled), new and approached imbalances, premium and discount entries, trendline events, and SFP detection. These alerts are intended as monitoring prompts so you can review context, not as automated trade execution signals.
Every major component is modular and configurable. You can run a minimal structure only layout or enable a full framework with zones, imbalances, liquidity, SFP and HTF projection. The guiding principle is chart clarity and relevance: keep the most important information visible, reduce overlap and stale objects, and maintain a consistent view of how price is interacting with liquidity and value over time.
🔹 Features
🔸 Market Structure Engine (CHoCH and BoS)
This script automatically tracks zigzag based market structure and differentiates between:
CHoCH (Change of Character) : the first meaningful structural shift that suggests the prior directional leg is weakening.
BoS (Break of Structure) : continuation breaks that confirm structure extension in the active direction.
Instead of relying on plain pivot dots, our market structure swings are built with a lightweight zigzag style engine that tracks direction and “locks in” the true leg extreme only when the leg flips. This produces cleaner, more consistent swing highs/lows for BOS/CHoCH than simple left/right pivot checks.
Bullish CHoCH:
Bearish CHoCH:
Bullish BoS:
Bearish BoS:
🔸 Order Blocks with Volumetric and Displacement Insight
The script identifies recent bullish and bearish order block zones around meaningful structural reactions and keeps the display focused on the most relevant areas. Instead of drawing a static rectangle and leaving it there forever, each zone is maintained as an active region on the chart and can be limited by a user defined visibility depth to avoid clutter. When enabled, the overlay also adds compact volume based context inside the block so you can quickly compare relative participation between recent zones and see whether the origin move showed strong follow through versus a softer transition. The intention is to provide structured context and cleaner prioritization on the chart, not to present a trade call or a guaranteed reaction level.
Bullish Order Block:
Bearish Order Block:
Order blocks are derived from the structure shifts, marking the institutional “origin zone” behind a decisive move and projecting it forward as a live area of interest. In practice, it highlights the candle cluster where price last rebalanced before expanding away, so you can track potential retests with context instead of guessing.
Inside each order block, the internal bars act as a compact strength meter green vs red summarizes the relative bullish vs bearish participation, while the blue segment reflects the “departure force” (displacement/momentum) away from the zone. It’s meant to help you scan which blocks left clean and strong versus those that moved out more slowly or with mixed pressure.
🔸 Breaker Blocks & Mitigation Tracking
Tracks when previously identified order blocks fail and converts them into breaker blocks, visually marking a change in how price is interacting with that zone.
Bullish Breaker Block :
Bearish Breaker Block :
Separate handling of bullish and bearish breakers with clear color differentiation.
Includes optional “mitigation” logic using either wick or close to determine when a block is considered broken or mitigated.
Breaker blocks are updated and removed dynamically as price trades through them, keeping the chart focused on current, active zones.
🔸 Imbalances
The imbalance module maps common price inefficiencies as zones, with support for multiple detection styles such as Fair Value Gaps, volume style imbalances, opening gaps, and an inverted gap mode. Each imbalance is drawn as a practical area on the chart with a midpoint reference, so you can quickly see where price may be revisiting unbalanced movement. You can also choose how mitigation is evaluated (wick or close) and optionally run imbalance detection on a separate timeframe for cleaner higher timeframe context while staying on your execution chart.
Fair Value Gaps:
Inverse Fair Value Gaps:
Opening Gaps:
🔸 Liquidity Sweeps, EQH/EQL, and Optional Volume Filter
Liquidity levels are derived from swing highs and lows and then monitored for sweep behavior, where price trades beyond a prior level and rejects back. If you enable EQH/EQL marking, the script can highlight equal highs and equal lows behavior around those liquidity areas to make common pool formations easier to spot. An optional volume filter can be used to reduce tracking of low participation swings, helping keep the liquidity layer focused and less noisy on instruments that produce frequent small pivots.
Sellside Liquidity Sweep Definition:
Buyside Liquidity Sweep Definition:
Highlights equal highs (EQH) and equal lows (EQL) when sweeps occur, marking where price probed above/below prior liquidity and then rejected.
Optional volume filter to ignore low volume swings and focus on more meaningful liquidity zones.
🔸 Premium, Discount, and Equilibrium
The premium and discount view provides a simple contextual map of where price is trading within a measured range, alongside an optional equilibrium line as a midpoint reference. This is intended as a higher level framing tool to help you avoid treating every price location the same, especially when combining structure with reaction zones. Price labels can be enabled for quick orientation, and the display updates as the underlying range evolves.
Projects premium and discount bands based on a dynamically measured range, offering a simple view of where price is trading relative to that range.
Draws separate Premium and Discount boxes with optional price labels for quick orientation.
Optional mid line (equilibrium) to visualize the “50%” of the current range, often used as a reference for balanced versus extended price.
Zones auto update as the underlying range evolves, with logic to prevent stale levels from cluttering the chart.
🔸 Trend Channels
When enabled, the trend module draws swing based diagonal structure using trendlines and a channel style visualization. You can tune sensitivity and choose whether the source should be depending on how you prefer to read trend behavior. The channel is maintained dynamically so you can keep directional context without manually drawing and constantly adjusting diagonal lines, and the script can highlight basic break behavior when price pushes beyond the active diagonal reference.
🔸 Swing Failure Pattern (SFP) Detector
The SFP module highlights common swing failure behavior, where price briefly trades beyond a swing level and then reclaims it, often reflecting a liquidity grab followed by rejection. Bullish and bearish SFPs can be enabled independently, and the display is designed to keep the key level and the rejection visible without excessive clutter. Optional volume validation can be used as a filter, so you can choose whether you want the detector to be more permissive or more selective based on participation characteristics.
🔸 HTF Candle Projection Panel
The HTF panel projects a compact set of higher timeframe candles to the right of price, giving you higher timeframe context without switching charts. You can select classic candles or Heikin Ashi style, adjust the scale and spacing, and optionally display reference lines and labels for OHLC values. This is a visual context tool intended to support multi timeframe reading, not a replacement for your own higher timeframe analysis.
In addition to projecting higher timeframe candles, the HTF panel can also detect and visualize higher timeframe liquidity sweeps directly within the projected candle set. The script monitors each completed HTF candle’s high and low and evaluates subsequent HTF candles for sweep behavior i.e., when price briefly trades beyond a prior HTF extreme but fails to hold acceptance beyond it (filtered using the later candle’s body positioning). When a sweep is detected, the panel draws a dotted sweep line and marks the event, allowing you to spot HTF stop runs and failed breaks without switching timeframes. Sweeps are dynamically invalidated if a later HTF candle shows genuine acceptance beyond that level, ensuring the display stays context relevant and avoids stale markings. This turns the HTF projection from a passive visualization into an actionable context layer for identifying HTF liquidity events while executing on lower timeframes.
🔸 Alerts
Alerts are included for the most practical events produced by the overlay, such as structure shifts (CHoCH and BoS), liquidity sweeps, new and invalidated zones, price approaching recent zones, imbalance creation and mitigation, premium or discount entries, trendline events, and SFP detections. The alerts are designed to function as a monitoring layer so you can be notified when something changes in your mapped context, rather than acting as standalone trade instructions.
🔸 Originality & Usefulness
This script is not a collection of separate SMC drawings layered on top of price. It is built as a unified price action engine where market structure, order blocks, inefficiencies, and liquidity are produced from the same evolving state. That matters because most SMC indicators treat these concepts as independent overlays, which often leads to contradictory markings and excessive clutter. Here, the design priority is consistency and readability: modules update in sync, older elements are managed, and the chart stays usable during live conditions.
A key differentiator is the internal swing logic, which functions like a compact zigzag style structure engine. Instead of reacting to every minor fluctuation, it aims to focus on meaningful swing decisions and treat structure as a sequence. This reduces repetitive labeling and makes structural transitions easier to follow. Structure events are anchored to the swing that defined them and are designed to trigger in a clean, non spammy way, which is critical for anyone who uses structure as a workflow backbone.
The structure layer is intentionally narrative oriented. It separates a transition event from continuation events, so CHoCH is used to highlight the first meaningful shift after an established leg, while BoS is used to mark follow through in the same direction. This is not a prediction claim. It is a clarity feature that helps users read “phase changes” versus “continuation” without constantly second guessing whether the script is just printing noise.
Order blocks are where this script becomes especially distinctive compared to typical SMC tools. Instead of drawing identical rectangles, each block is rendered with an internal gauge that communicates participation and directional dominance at a glance. The zone is visually segmented to reflect bullish and bearish pressure components, and it also carries a volume readout plus a relative weight compared to other recent blocks. This creates a ranked view of blocks rather than an unfiltered pile. In practice, you can prioritize zones faster because the script surfaces which blocks had more meaningful participation and whether the internal push looked one sided or mixed. The result is less subjective filtering and a cleaner chart.
Imbalances are handled as structured inefficiency zones with clear references and optional context. Beyond drawing the zone and midpoint, the script can overlay a sentiment style gauge that divides the imbalance into bullish and bearish portions and updates as new data comes in. The practical value is that you can see whether an inefficiency remains strongly one sided or is gradually being balanced. This turns imbalances from static boxes into a living context layer, which is particularly useful when you monitor reactions over time instead of treating every touch the same.
Liquidity is treated as an event driven tracking system rather than simple pivot plotting. Liquidity pools are identified from swing behavior and can be gated through a participation filter so the script focuses on levels that formed with meaningful activity rather than low quality noise. Once tracked, levels are monitored for outcomes like sweeps and equal high/low behavior, and then updated or retired when they are decisively resolved. This prevents the display from accumulating stale levels and keeps the liquidity layer focused on what is still relevant now.
Swing failure patterns are integrated as selective events rather than continuous spam. The intent is to produce fewer but more structurally meaningful SFPs, aligned with the liquidity narrative, instead of printing clusters around the same price area. This keeps the pattern readable and reinforces the “event based” design philosophy across the script.
Higher timeframe context is supported through a compact HTF projection panel that provides quick orientation without forcing constant timeframe switching. It lets you see where current price action sits inside a larger timeframe candle and range, which helps maintain consistency when you are executing on a lower timeframe but respecting higher timeframe structure.
Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice, and it does not guarantee results.
🔹 How to Use
This tool is designed to support multiple trading styles, but it is most effective when you treat it as a top down mapping and decision support tool. A practical workflow looks like this.
1) Establish higher timeframe bias and context
Start on your reference timeframe such as H4 or Daily and read the market’s dominant story first. Use the Market Structure Engine to identify whether the market is in continuation mode or transition mode. The goal is to avoid executing lower timeframe ideas that conflict with the larger structure narrative.
Use the HTF Candle Projection Panel as a fast orientation aid. It helps you judge whether current price is building acceptance near the highs of the larger candle, rotating back toward its open, or rejecting from its extremes. This is especially useful when you execute on lower timeframes but want to stay aligned with higher timeframe positioning.
Add Premium and Discount framing to understand location. When price is trading in premium, continuation longs are often more selective and require stronger confirmation, while shorts may have better location if structure supports it. When price is in discount, the opposite applies. Treat this as location context, not a rule.
2) Map your key reaction zones with prioritization
Next, build your map of where reactions are most likely to occur. Enable Order Blocks with Volumetric Insight to highlight the most relevant origin zones that form after important structure events. Keep your focus on the most recent blocks and adjust the visible depth so the chart stays clean.
Use the internal gauge and participation readouts to prioritize. Instead of treating every zone as equal, treat higher participation blocks as primary candidates and lower participation blocks as secondary. The bullish and bearish split inside the gauge helps you quickly judge whether the zone formed from a clearly one sided push or a more mixed move, which can inform how strict you want to be with confirmation on a retest.
If you use Breaker Blocks, treat them as role shift zones. They are especially useful when the market has clearly transitioned and you want to track where a previously defended origin area may become a meaningful retest level later.
3) Layer in inefficiencies only where they add clarity
If your workflow includes imbalances, add them selectively to avoid visual overload. Use Fair Value Gaps, Volume Imbalances, or Opening Gaps as secondary reaction areas that often sit inside, near, or between larger zones.
If you enable the internal sentiment gauge, read it as context rather than a signal. It is meant to help you see whether the imbalance remains one sided or has started to balance out as price develops. A strongly one sided presentation can support the idea of continuation through the zone, while a more balanced presentation can support the idea of deeper mitigation or chop. Use it to refine expectations, not to force entries.
4) Track liquidity as events, not as static levels
Enable Liquidity Sweeps and EQH/EQL tagging to highlight where resting liquidity is likely concentrated and when it gets taken. The main value here is narrative: you can see when price runs obvious highs or lows and whether it immediately rejects back into structure or accepts beyond the level.
If you use the volume filter, treat it as a quality gate. The point is to ignore small, low participation swings and keep the liquidity layer focused on levels that formed with meaningful activity. This tends to reduce noise and makes sweeps and equal level behavior more relevant.
Combine the liquidity layer with the Swing Failure Pattern detector to isolate moments where liquidity is taken and then rejected. The cleanest use is when SFPs occur at or near your pre mapped reaction zones, after a sweep, and in alignment with your higher timeframe bias.
5) Refine execution timing on your entry timeframe
Drop to your execution timeframe and use local structure shifts as timing tools. CHoCH and BoS on the lower timeframe can help you see when micro structure is flipping in your intended direction after price interacts with your mapped zone.
If you use the Trend Channel framework, treat it as diagonal context rather than strict support and resistance. A channel helps you see where price is riding the trend and where it is deviating. This can help you time entries by waiting for price to re enter the corridor, show rejection near a boundary, or confirm a shift by building structure outside the channel.
A common practical sequence is: price reaches a mapped OB or imbalance area, liquidity gets taken, price rejects, micro structure begins to flip, and then you execute with your own confirmation and risk rules. The tool helps you see each step clearly, but your plan determines what is sufficient confirmation.
6) Use alerts as monitoring, not as standalone signals
Set alerts only for events that are meaningful to your workflow, such as:
-fresh CHoCH or BoS in your preferred direction
-new or invalidated order blocks and breaker blocks
-price approaching the most recent priority zones
-liquidity sweeps and EQH/EQL interactions
-new SFP events
-entry into premium or discount and interaction with HTF projection levels
-imbalance creation, mitigation, or approach
Treat alerts as prompts to check the chart, not as automatic entries or exits. This script is designed as a mapping and decision support tool. Trade execution, confirmation, and risk management remain entirely dependent on your own strategy and discretion.
🔴 Price Action Practical Notes
💠 Market structure
Market structure is the framework used to describe how price organizes itself into swings. It is built from successive swing highs and swing lows, and it is used to decide whether the market is expanding upward, expanding downward, or transitioning. A practical structure model focuses on “meaningful” turning points rather than every minor fluctuation, because the goal is to capture intent and flow, not noise.
💠 Swing highs and swing lows
A swing high is a local peak where price stops advancing and begins to rotate lower, while a swing low is a local trough where selling pressure pauses and price rotates higher. Swings matter because many traders anchor risk, liquidity, and entries around them. The stronger the reaction away from a swing, the more likely it is to be referenced again as a decision point.
💠 Break of structure
A break of structure is the event where price decisively exceeds a prior swing in the direction of the prevailing move. In practice, it is used as confirmation that a directional leg is still active and that liquidity resting beyond the swing has been taken. This concept is less about predicting and more about validating continuation.
💠 Change of character
A change of character is a structural break that signals transition rather than continuation. Instead of breaking a swing in the same direction as the recent trend, price breaks a key swing in the opposite direction, suggesting that control may be shifting. It is often treated as an early warning that the market may be moving from continuation into reversal or deeper pullback conditions.
💠 Order blocks
An order block is commonly described as the last opposing candle or consolidation zone that precedes a strong directional expansion. The idea is that this area represents a footprint of aggressive execution and unfilled interest. When price revisits it later, it can act as a reaction zone because participants who missed the move may defend it, or because remaining orders may still exist there.
💠 Mitigation and invalidation of a zone
Mitigation describes the process of price returning to a zone and “consuming” the remaining interest there. A zone is typically considered invalidated when price trades through it in a way that implies the resting orders were absorbed and the area no longer has protective value. Some approaches treat a wick through the boundary as enough to invalidate, while others require a candle close beyond the boundary to confirm that the level has truly failed.
💠 Breaker blocks
A breaker block is an order block concept that changes role after being invalidated. When a previously respected zone fails, it can later become a reaction area in the opposite direction because trapped participants may use the retest to exit, or because the market may recognize it as a new supply or demand reference. Breakers are often treated as “failed zones that become liquidity magnets” and are closely watched on retests.
💠 Liquidity and liquidity pools
Liquidity is the availability of resting orders that allow large transactions to execute with minimal slippage. In chart terms, liquidity pools often form around obvious swing highs and lows, equal highs and lows, and clear ranges. These areas attract price because they contain clustered stops and entries that can be used to fuel continuation or trigger reversals through rapid order flow shifts.
💠 Liquidity sweeps
A liquidity sweep is a move where price briefly trades beyond a known liquidity pool and then returns back inside, often closing back within the prior range. The concept implies that stops were triggered and liquidity was captured, but that continuation beyond the swept level did not sustain. Sweeps are frequently used as context for reversals or for confirming that a “cleanout” occurred before a directional move.
💠 Equal highs and equal lows
Equal highs and equal lows describe repeated swing levels that form a flat or nearly flat top or bottom. They matter because they concentrate liquidity. Many traders place stops just beyond these repeated levels, and many breakout traders place entries around them. The result is a dense cluster of orders that can be targeted efficiently by price.
💠Imbalances and inefficiencies
Imbalances represent zones where price moved so quickly that it left behind inefficient trading, meaning fewer transactions occurred in that region compared to surrounding areas. The underlying idea is that markets often revisit these areas to rebalance, fill gaps, or complete unfinished business. Imbalances are treated as areas of interest for pullback entries, targets, or reaction zones.
💠 Fair value gap
A fair value gap is a specific form of imbalance commonly framed as a three candle displacement that leaves a gap between candles, indicating rapid repricing. Traders use it as a proxy for inefficiency: if price returns, it may partially or fully fill the gap before continuing. The midpoint of the gap is often treated as a particularly relevant reference, but whether price respects it depends on context.
💠 Inverted fair value gap
An inverted fair value gap is the idea that once an imbalance is “broken” in a meaningful way, the zone can flip its behavior. Instead of acting like a supportive zone, it may become resistive (or vice versa) on a later retest. Conceptually, this is similar to role reversal: what once behaved as a continuation aid can become a rejection zone after failure.
💠 Premium, discount, and equilibrium
Premium and discount describe where price sits relative to a defined recent range. Premium is the upper portion of that range and discount is the lower portion. Equilibrium is the midpoint. The concept is mainly used to align trade direction with location: buying is generally more attractive in discount and selling is generally more attractive in premium, assuming you are trading mean reversion within a range or seeking favorable risk placement within a broader trend.
💠 Swing failure pattern
A swing failure pattern is a reversal archetype where price breaks a known swing level, fails to hold beyond it, and returns back through the level. The logic is that the breakout attempt attracted orders and triggered stops, but the market rejected the extension. SFPs are often considered higher quality when the failure is followed by a decisive move away and when it aligns with a broader liquidity narrative.
💠 Higher timeframe context
Higher timeframe context means framing intraday or lower timeframe signals within the structure of a larger timeframe. This can include aligning trades with higher timeframe swings, using higher timeframe candles as reference for open/high/low behavior, and avoiding taking counter trend signals when the larger timeframe is strongly directional. The purpose is to improve signal quality by ensuring the smaller timeframe idea is not fighting a dominant larger flow.
💠 Trend channels
A trend channel is a structured way to visualize a market’s directional “lane” by framing price between two roughly parallel boundaries. The central idea is that trending price action often oscillates in a repeatable corridor: pullbacks tend to stall around one side of the lane, while impulses tend to extend toward the opposite side. Instead of treating trend as a single line, a channel treats trend as an area, which better reflects real market behavior where reactions occur in zones rather than at perfect prices.
A channel typically has three functional references: a guiding line that represents the prevailing slope, an upper boundary that approximates where bullish expansions tend to stretch before mean reversion, and a lower boundary that approximates where bearish pullbacks tend to terminate before continuation. The space between boundaries represents the market’s accepted path. When price stays inside this corridor, the trend is considered healthy. When price repeatedly fails to progress within it, the trend is weakening.
Channels are commonly used for timing and location. In an uptrend channel, pullbacks into the lower portion of the corridor are often treated as higher quality “location” for continuation attempts, while pushes into the upper portion are treated as extension territory where risk of a pause or retracement increases. In a downtrend channel, the logic is mirrored: rallies into the upper portion are often treated as sell side location, and moves into the lower portion are treated as extension territory. The channel does not predict direction by itself; it provides a disciplined map for where continuation is more likely versus where momentum is more likely to cool.
A key concept is acceptance versus deviation. If price briefly pierces a boundary and snaps back inside, that is often interpreted as a deviation, meaning the market tested outside the lane but did not accept it. If price holds outside the corridor and begins to build new swings there, that suggests acceptance and a potential regime change: either a new channel with a different slope, a shift into range, or a broader reversal context. This is why channels are most useful when you treat them as a framework for evaluating behavior, not as rigid support and resistance.
1-Hour Trend Breakout Strategy (Scaled Entry Version)This strategy is a trend-following system on the Bitcoin 1-hour chart.
It enters in the direction of the market when price breaks an upward or downward trendline, using scaled (partial) entries.
Entry Rules
Go long when price breaks an upward trendline.
Go short when price breaks a downward trendline.
Position size is split into several parts and entered gradually.
Trade Management
When the first take-profit level (TP1) is reached, a portion of the position is closed.
The stop-loss on the remaining position is moved to break-even (entry price) to lock in profits and manage risk.
Performance
Period: 2019-12-16 to 2025-12-07
Total P&L: +2,385%
Maximum Drawdown (MDD): 28%
Win Rate: 79%
Profit Factor: 3.1
Brahmastra PremiumBrahmastra Trade System is a complete institutional trading engine designed for traders who want precision entries, clean trends, and automated risk management.
It combines multi-timeframe confirmation, ATR-based volatility logic, trend structure, and angle analytics—giving you a highly reliable and visually clean trading framework.
🔥 Key Features
✅ 1. Institutional Trend Engine (Triple Confirmation):
The trend is detected using:
Fast MA (5)
Slow SMA/EMA (51)
Custom ATR Trend (SuperTrend-like algorithm)
This three-layer confirmation ensures you only trade when the trend is solid, real, and clean.
✅ 2. Multi-Timeframe Breakout Confirmation (1-Minute)
Most retail breakouts are fake.
This indicator validates entries using lower timeframe 5-minute candle closes.
✔ Helps avoid traps
✔ Ensures genuine breakout momentum
✔ Great for intraday & swing traders
✅ 3. Smart Entry & Exit Signals
Clear on-chart signals:
Bullish Entry (Triangle Up)
Bearish Entry (Triangle Down)
Buy Exit
Sell Exit
Exit logic uses:
Fast MA breakdown
ATR trend reversal
This catches trend reversals early and protects profits.
✅ 4. Automatic SL + TP1/TP2/TP3 Projection (ATR-Based)
On every entry, Brahmastra automatically plots:
Stop Loss (SL),Target 1,Target 2,Target 3
Targets are based on volatility (ATR), not random lines. This gives:
✔ Stable stops
✔ Dynamic targets
✔ Accurate risk–reward mapping
✅ 5. Smart Trailing Stop Loss (TSL)
TSL activates only after TP1 hits.
Buy trades → TSL moves upward
Sell trades → TSL moves downward
The trailing SL never moves backward → flawless institutional money management.
✅ 6. Volume-Powered Candle Coloring
Candles change color based on:
Trend direction
Volume intensity
Makes momentum extremely easy to read:
High volume bull → Neon green
High volume bear → Neon red
✅ 7. Multi-Angle Trendline System (3 Layers)
Brahmastra auto-draws support/resistance trendlines for:
L1 (Scalp) – Short trend
L2 (Swing) – Medium trend
L3 (Macro) – Larger trend
Each trendline is analyzed for angle strength:
🚀 Parabolic (Dangerous / Vertical)
💪 Strong Trend (Ideal)
😴 Weak / Accumulation (Sideways)
This helps you see whether the market is:
About to explode
Losing strength
Moving sideways
⚠️ Disclaimer
This indicator is an advanced trading tool, NOT financial advice.
Always backtest, understand the logic, and trade responsibly.
TrendRebel.pro SMA 🆓Welcome to Trend Rebel!
This 🆓 Indicator will help guide you through boundaries across multiple timeframes.
Seamlessly watch your 4 Hour or any other timeframe while being able to plot aand or just view other important SMA's.
Add this with a FREE subscription to Trend Rebels Bootcamp and you can master the boundaries that SMA"s provide giving you an edge.
SMA's provide you with the boundaries that define how technicals move, while they are based on previous candles, future candles respect them with patterns and institutions use them to guide their trading as well. This of it as a cheat sheet to awareness of whats to come.
This Free version is somewhat limited, so make sure you get a free trial to trend rebel and explore the many Indicators we use to navigate the market with precision.
For instance our Pivot Indicator which is based on charting techniques that Trading View cannot duplicate, therefore we manually update our Pivots DAILY and deliver them to your screen!
For a Paid Subscription to TrendRebel copy paste this link to your browser:
whop.com
For a FREE subscription to Bootcamp copy paste this link to your browser:
whop.com
For more information go to:
www.trendrebel.pro
Dual RSI TL (AI Trend Mapper) - SigmorAlgoDual RSI TL (AI Trend Mapper) — an intelligent momentum and trendline mapping system built to give traders clarity, structure, and precision.
It merges a dual-layer RSI framework (fast & slow) with automatic RSI trendlines to identify strength, exhaustion, and reversals in real time.
⚙️ Main Features:
• Dual RSI system (fast & slow) with fully adjustable lengths
• Automatic RSI trendline mapping (AI-driven slope detection)
• Real-time crossover and confirmation alerts
• Clean visual markers for entry & exit points
• Compatible with EMA, SMA, and Pivot-based systems
💡 Recommended Settings:
• Default: Fast = 25, Slow = 75 (1:3 ratio) — ideal balance for 15m–1D traders
• Faster reaction: 12/36 or 14/42
• Slower/long-term: 28/84 or 30/90
Whether you trade scalps, intraday setups, or daily swings, Dual RSI TL adapts dynamically to price behavior — giving you a visual edge without noise.
Created by SigmorAlgo — for traders who value clarity over clutter.
Staolin Trade maxx V1This script is a custom TradingView indicator named "Staolin Trade maxx V1". It overlays on price charts and includes features for visualizing support and resistance zones, trendlines, EMA-based trend fills, higher high/lower low labels, range boxes, Supertrend buy/sell signals, risk management lines with SL/TP levels, and customizable moving averages. Inputs allow toggling elements like trendlines, EMA trends, labels, ranges, and levels, as well as adjusting lengths, colors, sensitivities, signal strengths, and risk-reward ratios. Zones appear as gradient-filled bands (red for upper, green for lower), trendlines as extending lines (teal up, red down), EMA fills as translucent ribbons (green up, red down), labels as triangles (green HH, red LL), ranges as colored boxes (blue unbroken, green/red broken), signals as labels (green buy, red sell), SL/TP as extending lines with emoji-labeled tags (blue entry, red SL, green TPs), and MAs as lines (blue 5, red 13, green 20).
ATAI Volume analysis with price action V 1.00ATAI Volume Analysis with Price Action
1. Introduction
1.1 Overview
ATAI Volume Analysis with Price Action is a composite indicator designed for TradingView. It combines per‑side volume data —that is, how much buying and selling occurs during each bar—with standard price‑structure elements such as swings, trend lines and support/resistance. By blending these elements the script aims to help a trader understand which side is in control, whether a breakout is genuine, when markets are potentially exhausted and where liquidity providers might be active.
The indicator is built around TradingView’s up/down volume feed accessed via the TradingView/ta/10 library. The following excerpt from the script illustrates how this feed is configured:
import TradingView/ta/10 as tvta
// Determine lower timeframe string based on user choice and chart resolution
string lower_tf_breakout = use_custom_tf_input ? custom_tf_input :
timeframe.isseconds ? "1S" :
timeframe.isintraday ? "1" :
timeframe.isdaily ? "5" : "60"
// Request up/down volume (both positive)
= tvta.requestUpAndDownVolume(lower_tf_breakout)
Lower‑timeframe selection. If you do not specify a custom lower timeframe, the script chooses a default based on your chart resolution: 1 second for second charts, 1 minute for intraday charts, 5 minutes for daily charts and 60 minutes for anything longer. Smaller intervals provide a more precise view of buyer and seller flow but cover fewer bars. Larger intervals cover more history at the cost of granularity.
Tick vs. time bars. Many trading platforms offer a tick / intrabar calculation mode that updates an indicator on every trade rather than only on bar close. Turning on one‑tick calculation will give the most accurate split between buy and sell volume on the current bar, but it typically reduces the amount of historical data available. For the highest fidelity in live trading you can enable this mode; for studying longer histories you might prefer to disable it. When volume data is completely unavailable (some instruments and crypto pairs), all modules that rely on it will remain silent and only the price‑structure backbone will operate.
Figure caption, Each panel shows the indicator’s info table for a different volume sampling interval. In the left chart, the parentheses “(5)” beside the buy‑volume figure denote that the script is aggregating volume over five‑minute bars; the center chart uses “(1)” for one‑minute bars; and the right chart uses “(1T)” for a one‑tick interval. These notations tell you which lower timeframe is driving the volume calculations. Shorter intervals such as 1 minute or 1 tick provide finer detail on buyer and seller flow, but they cover fewer bars; longer intervals like five‑minute bars smooth the data and give more history.
Figure caption, The values in parentheses inside the info table come directly from the Breakout — Settings. The first row shows the custom lower-timeframe used for volume calculations (e.g., “(1)”, “(5)”, or “(1T)”)
2. Price‑Structure Backbone
Even without volume, the indicator draws structural features that underpin all other modules. These features are always on and serve as the reference levels for subsequent calculations.
2.1 What it draws
• Pivots: Swing highs and lows are detected using the pivot_left_input and pivot_right_input settings. A pivot high is identified when the high recorded pivot_right_input bars ago exceeds the highs of the preceding pivot_left_input bars and is also higher than (or equal to) the highs of the subsequent pivot_right_input bars; pivot lows follow the inverse logic. The indicator retains only a fixed number of such pivot points per side, as defined by point_count_input, discarding the oldest ones when the limit is exceeded.
• Trend lines: For each side, the indicator connects the earliest stored pivot and the most recent pivot (oldest high to newest high, and oldest low to newest low). When a new pivot is added or an old one drops out of the lookback window, the line’s endpoints—and therefore its slope—are recalculated accordingly.
• Horizontal support/resistance: The highest high and lowest low within the lookback window defined by length_input are plotted as horizontal dashed lines. These serve as short‑term support and resistance levels.
• Ranked labels: If showPivotLabels is enabled the indicator prints labels such as “HH1”, “HH2”, “LL1” and “LL2” near each pivot. The ranking is determined by comparing the price of each stored pivot: HH1 is the highest high, HH2 is the second highest, and so on; LL1 is the lowest low, LL2 is the second lowest. In the case of equal prices the newer pivot gets the better rank. Labels are offset from price using ½ × ATR × label_atr_multiplier, with the ATR length defined by label_atr_len_input. A dotted connector links each label to the candle’s wick.
2.2 Key settings
• length_input: Window length for finding the highest and lowest values and for determining trend line endpoints. A larger value considers more history and will generate longer trend lines and S/R levels.
• pivot_left_input, pivot_right_input: Strictness of swing confirmation. Higher values require more bars on either side to form a pivot; lower values create more pivots but may include minor swings.
• point_count_input: How many pivots are kept in memory on each side. When new pivots exceed this number the oldest ones are discarded.
• label_atr_len_input and label_atr_multiplier: Determine how far pivot labels are offset from the bar using ATR. Increasing the multiplier moves labels further away from price.
• Styling inputs for trend lines, horizontal lines and labels (color, width and line style).
Figure caption, The chart illustrates how the indicator’s price‑structure backbone operates. In this daily example, the script scans for bars where the high (or low) pivot_right_input bars back is higher (or lower) than the preceding pivot_left_input bars and higher or lower than the subsequent pivot_right_input bars; only those bars are marked as pivots.
These pivot points are stored and ranked: the highest high is labelled “HH1”, the second‑highest “HH2”, and so on, while lows are marked “LL1”, “LL2”, etc. Each label is offset from the price by half of an ATR‑based distance to keep the chart clear, and a dotted connector links the label to the actual candle.
The red diagonal line connects the earliest and latest stored high pivots, and the green line does the same for low pivots; when a new pivot is added or an old one drops out of the lookback window, the end‑points and slopes adjust accordingly. Dashed horizontal lines mark the highest high and lowest low within the current lookback window, providing visual support and resistance levels. Together, these elements form the structural backbone that other modules reference, even when volume data is unavailable.
3. Breakout Module
3.1 Concept
This module confirms that a price break beyond a recent high or low is supported by a genuine shift in buying or selling pressure. It requires price to clear the highest high (“HH1”) or lowest low (“LL1”) and, simultaneously, that the winning side shows a significant volume spike, dominance and ranking. Only when all volume and price conditions pass is a breakout labelled.
3.2 Inputs
• lookback_break_input : This controls the number of bars used to compute moving averages and percentiles for volume. A larger value smooths the averages and percentiles but makes the indicator respond more slowly.
• vol_mult_input : The “spike” multiplier; the current buy or sell volume must be at least this multiple of its moving average over the lookback window to qualify as a breakout.
• rank_threshold_input (0–100) : Defines a volume percentile cutoff: the current buyer/seller volume must be in the top (100−threshold)%(100−threshold)% of all volumes within the lookback window. For example, if set to 80, the current volume must be in the top 20 % of the lookback distribution.
• ratio_threshold_input (0–1) : Specifies the minimum share of total volume that the buyer (for a bullish breakout) or seller (for bearish) must hold on the current bar; the code also requires that the cumulative buyer volume over the lookback window exceeds the seller volume (and vice versa for bearish cases).
• use_custom_tf_input / custom_tf_input : When enabled, these inputs override the automatic choice of lower timeframe for up/down volume; otherwise the script selects a sensible default based on the chart’s timeframe.
• Label appearance settings : Separate options control the ATR-based offset length, offset multiplier, label size and colors for bullish and bearish breakout labels, as well as the connector style and width.
3.3 Detection logic
1. Data preparation : Retrieve per‑side volume from the lower timeframe and take absolute values. Build rolling arrays of the last lookback_break_input values to compute simple moving averages (SMAs), cumulative sums and percentile ranks for buy and sell volume.
2. Volume spike: A spike is flagged when the current buy (or, in the bearish case, sell) volume is at least vol_mult_input times its SMA over the lookback window.
3. Dominance test: The buyer’s (or seller’s) share of total volume on the current bar must meet or exceed ratio_threshold_input. In addition, the cumulative sum of buyer volume over the window must exceed the cumulative sum of seller volume for a bullish breakout (and vice versa for bearish). A separate requirement checks the sign of delta: for bullish breakouts delta_breakout must be non‑negative; for bearish breakouts it must be non‑positive.
4. Percentile rank: The current volume must fall within the top (100 – rank_threshold_input) percent of the lookback distribution—ensuring that the spike is unusually large relative to recent history.
5. Price test: For a bullish signal, the closing price must close above the highest pivot (HH1); for a bearish signal, the close must be below the lowest pivot (LL1).
6. Labeling: When all conditions above are satisfied, the indicator prints “Breakout ↑” above the bar (bullish) or “Breakout ↓” below the bar (bearish). Labels are offset using half of an ATR‑based distance and linked to the candle with a dotted connector.
Figure caption, (Breakout ↑ example) , On this daily chart, price pushes above the red trendline and the highest prior pivot (HH1). The indicator recognizes this as a valid breakout because the buyer‑side volume on the lower timeframe spikes above its recent moving average and buyers dominate the volume statistics over the lookback period; when combined with a close above HH1, this satisfies the breakout conditions. The “Breakout ↑” label appears above the candle, and the info table highlights that up‑volume is elevated relative to its 11‑bar average, buyer share exceeds the dominance threshold and money‑flow metrics support the move.
Figure caption, In this daily example, price breaks below the lowest pivot (LL1) and the lower green trendline. The indicator identifies this as a bearish breakout because sell‑side volume is sharply elevated—about twice its 11‑bar average—and sellers dominate both the bar and the lookback window. With the close falling below LL1, the script triggers a Breakout ↓ label and marks the corresponding row in the info table, which shows strong down volume, negative delta and a seller share comfortably above the dominance threshold.
4. Market Phase Module (Volume Only)
4.1 Concept
Not all markets trend; many cycle between periods of accumulation (buying pressure building up), distribution (selling pressure dominating) and neutral behavior. This module classifies the current bar into one of these phases without using ATR , relying solely on buyer and seller volume statistics. It looks at net flows, ratio changes and an OBV‑like cumulative line with dual‑reference (1‑ and 2‑bar) trends. The result is displayed both as on‑chart labels and in a dedicated row of the info table.
4.2 Inputs
• phase_period_len: Number of bars over which to compute sums and ratios for phase detection.
• phase_ratio_thresh : Minimum buyer share (for accumulation) or minimum seller share (for distribution, derived as 1 − phase_ratio_thresh) of the total volume.
• strict_mode: When enabled, both the 1‑bar and 2‑bar changes in each statistic must agree on the direction (strict confirmation); when disabled, only one of the two references needs to agree (looser confirmation).
• Color customisation for info table cells and label styling for accumulation and distribution phases, including ATR length, multiplier, label size, colors and connector styles.
• show_phase_module: Toggles the entire phase detection subsystem.
• show_phase_labels: Controls whether on‑chart labels are drawn when accumulation or distribution is detected.
4.3 Detection logic
The module computes three families of statistics over the volume window defined by phase_period_len:
1. Net sum (buyers minus sellers): net_sum_phase = Σ(buy) − Σ(sell). A positive value indicates a predominance of buyers. The code also computes the differences between the current value and the values 1 and 2 bars ago (d_net_1, d_net_2) to derive up/down trends.
2. Buyer ratio: The instantaneous ratio TF_buy_breakout / TF_tot_breakout and the window ratio Σ(buy) / Σ(total). The current ratio must exceed phase_ratio_thresh for accumulation or fall below 1 − phase_ratio_thresh for distribution. The first and second differences of the window ratio (d_ratio_1, d_ratio_2) determine trend direction.
3. OBV‑like cumulative net flow: An on‑balance volume analogue obv_net_phase increments by TF_buy_breakout − TF_sell_breakout each bar. Its differences over the last 1 and 2 bars (d_obv_1, d_obv_2) provide trend clues.
The algorithm then combines these signals:
• For strict mode , accumulation requires: (a) current ratio ≥ threshold, (b) cumulative ratio ≥ threshold, (c) both ratio differences ≥ 0, (d) net sum differences ≥ 0, and (e) OBV differences ≥ 0. Distribution is the mirror case.
• For loose mode , it relaxes the directional tests: either the 1‑ or the 2‑bar difference needs to agree in each category.
If all conditions for accumulation are satisfied, the phase is labelled “Accumulation” ; if all conditions for distribution are satisfied, it’s labelled “Distribution” ; otherwise the phase is “Neutral” .
4.4 Outputs
• Info table row : Row 8 displays “Market Phase (Vol)” on the left and the detected phase (Accumulation, Distribution or Neutral) on the right. The text colour of both cells matches a user‑selectable palette (typically green for accumulation, red for distribution and grey for neutral).
• On‑chart labels : When show_phase_labels is enabled and a phase persists for at least one bar, the module prints a label above the bar ( “Accum” ) or below the bar ( “Dist” ) with a dashed or dotted connector. The label is offset using ATR based on phase_label_atr_len_input and phase_label_multiplier and is styled according to user preferences.
Figure caption, The chart displays a red “Dist” label above a particular bar, indicating that the accumulation/distribution module identified a distribution phase at that point. The detection is based on seller dominance: during that bar, the net buyer-minus-seller flow and the OBV‑style cumulative flow were trending down, and the buyer ratio had dropped below the preset threshold. These conditions satisfy the distribution criteria in strict mode. The label is placed above the bar using an ATR‑based offset and a dashed connector. By the time of the current bar in the screenshot, the phase indicator shows “Neutral” in the info table—signaling that neither accumulation nor distribution conditions are currently met—yet the historical “Dist” label remains to mark where the prior distribution phase began.
Figure caption, In this example the market phase module has signaled an Accumulation phase. Three bars before the current candle, the algorithm detected a shift toward buyers: up‑volume exceeded its moving average, down‑volume was below average, and the buyer share of total volume climbed above the threshold while the on‑balance net flow and cumulative ratios were trending upwards. The blue “Accum” label anchored below that bar marks the start of the phase; it remains on the chart because successive bars continue to satisfy the accumulation conditions. The info table confirms this: the “Market Phase (Vol)” row still reads Accumulation, and the ratio and sum rows show buyers dominating both on the current bar and across the lookback window.
5. OB/OS Spike Module
5.1 What overbought/oversold means here
In many markets, a rapid extension up or down is often followed by a period of consolidation or reversal. The indicator interprets overbought (OB) conditions as abnormally strong selling risk at or after a price rally and oversold (OS) conditions as unusually strong buying risk after a decline. Importantly, these are not direct trade signals; rather they flag areas where caution or contrarian setups may be appropriate.
5.2 Inputs
• minHits_obos (1–7): Minimum number of oscillators that must agree on an overbought or oversold condition for a label to print.
• syncWin_obos: Length of a small sliding window over which oscillator votes are smoothed by taking the maximum count observed. This helps filter out choppy signals.
• Volume spike criteria: kVolRatio_obos (ratio of current volume to its SMA) and zVolThr_obos (Z‑score threshold) across volLen_obos. Either threshold can trigger a spike.
• Oscillator toggles and periods: Each of RSI, Stochastic (K and D), Williams %R, CCI, MFI, DeMarker and Stochastic RSI can be independently enabled; their periods are adjustable.
• Label appearance: ATR‑based offset, size, colors for OB and OS labels, plus connector style and width.
5.3 Detection logic
1. Directional volume spikes: Volume spikes are computed separately for buyer and seller volumes. A sell volume spike (sellVolSpike) flags a potential OverBought bar, while a buy volume spike (buyVolSpike) flags a potential OverSold bar. A spike occurs when the respective volume exceeds kVolRatio_obos times its simple moving average over the window or when its Z‑score exceeds zVolThr_obos.
2. Oscillator votes: For each enabled oscillator, calculate its overbought and oversold state using standard thresholds (e.g., RSI ≥ 70 for OB and ≤ 30 for OS; Stochastic %K/%D ≥ 80 for OB and ≤ 20 for OS; etc.). Count how many oscillators vote for OB and how many vote for OS.
3. Minimum hits: Apply the smoothing window syncWin_obos to the vote counts using a maximum‑of‑last‑N approach. A candidate bar is only considered if the smoothed OB hit count ≥ minHits_obos (for OverBought) or the smoothed OS hit count ≥ minHits_obos (for OverSold).
4. Tie‑breaking: If both OverBought and OverSold spike conditions are present on the same bar, compare the smoothed hit counts: the side with the higher count is selected; ties default to OverBought.
5. Label printing: When conditions are met, the bar is labelled as “OverBought X/7” above the candle or “OverSold X/7” below it. “X” is the number of oscillators confirming, and the bracket lists the abbreviations of contributing oscillators. Labels are offset from price using half of an ATR‑scaled distance and can optionally include a dotted or dashed connector line.
Figure caption, In this chart the overbought/oversold module has flagged an OverSold signal. A sell‑off from the prior highs brought price down to the lower trend‑line, where the bar marked “OverSold 3/7 DeM” appears. This label indicates that on that bar the module detected a buy‑side volume spike and that at least three of the seven enabled oscillators—in this case including the DeMarker—were in oversold territory. The label is printed below the candle with a dotted connector, signaling that the market may be temporarily exhausted on the downside. After this oversold print, price begins to rebound towards the upper red trend‑line and higher pivot levels.
Figure caption, This example shows the overbought/oversold module in action. In the left‑hand panel you can see the OB/OS settings where each oscillator (RSI, Stochastic, Williams %R, CCI, MFI, DeMarker and Stochastic RSI) can be enabled or disabled, and the ATR length and label offset multiplier adjusted. On the chart itself, price has pushed up to the descending red trendline and triggered an “OverBought 3/7” label. That means the sell‑side volume spiked relative to its average and three out of the seven enabled oscillators were in overbought territory. The label is offset above the candle by half of an ATR and connected with a dashed line, signaling that upside momentum may be overextended and a pause or pullback could follow.
6. Buyer/Seller Trap Module
6.1 Concept
A bull trap occurs when price appears to break above resistance, attracting buyers, but fails to sustain the move and quickly reverses, leaving a long upper wick and trapping late entrants. A bear trap is the opposite: price breaks below support, lures in sellers, then snaps back, leaving a long lower wick and trapping shorts. This module detects such traps by looking for price structure sweeps, order‑flow mismatches and dominance reversals. It uses a scoring system to differentiate risk from confirmed traps.
6.2 Inputs
• trap_lookback_len: Window length used to rank extremes and detect sweeps.
• trap_wick_threshold: Minimum proportion of a bar’s range that must be wick (upper for bull traps, lower for bear traps) to qualify as a sweep.
• trap_score_risk: Minimum aggregated score required to flag a trap risk. (The code defines a trap_score_confirm input, but confirmation is actually based on price reversal rather than a separate score threshold.)
• trap_confirm_bars: Maximum number of bars allowed for price to reverse and confirm the trap. If price does not reverse in this window, the risk label will expire or remain unconfirmed.
• Label settings: ATR length and multiplier for offsetting, size, colours for risk and confirmed labels, and connector style and width. Separate settings exist for bull and bear traps.
• Toggle inputs: show_trap_module and show_trap_labels enable the module and control whether labels are drawn on the chart.
6.3 Scoring logic
The module assigns points to several conditions and sums them to determine whether a trap risk is present. For bull traps, the score is built from the following (bear traps mirror the logic with highs and lows swapped):
1. Sweep (2 points): Price trades above the high pivot (HH1) but fails to close above it and leaves a long upper wick at least trap_wick_threshold × range. For bear traps, price dips below the low pivot (LL1), fails to close below and leaves a long lower wick.
2. Close break (1 point): Price closes beyond HH1 or LL1 without leaving a long wick.
3. Candle/delta mismatch (2 points): The candle closes bullish yet the order flow delta is negative or the seller ratio exceeds 50%, indicating hidden supply. Conversely, a bearish close with positive delta or buyer dominance suggests hidden demand.
4. Dominance inversion (2 points): The current bar’s buyer volume has the highest rank in the lookback window while cumulative sums favor sellers, or vice versa.
5. Low‑volume break (1 point): Price crosses the pivot but total volume is below its moving average.
The total score for each side is compared to trap_score_risk. If the score is high enough, a “Bull Trap Risk” or “Bear Trap Risk” label is drawn, offset from the candle by half of an ATR‑scaled distance using a dashed outline. If, within trap_confirm_bars, price reverses beyond the opposite level—drops back below the high pivot for bull traps or rises above the low pivot for bear traps—the label is upgraded to a solid “Bull Trap” or “Bear Trap” . In this version of the code, there is no separate score threshold for confirmation: the variable trap_score_confirm is unused; confirmation depends solely on a successful price reversal within the specified number of bars.
Figure caption, In this example the trap module has flagged a Bear Trap Risk. Price initially breaks below the most recent low pivot (LL1), but the bar closes back above that level and leaves a long lower wick, suggesting a failed push lower. Combined with a mismatch between the candle direction and the order flow (buyers regain control) and a reversal in volume dominance, the aggregate score exceeds the risk threshold, so a dashed “Bear Trap Risk” label prints beneath the bar. The green and red trend lines mark the current low and high pivot trajectories, while the horizontal dashed lines show the highest and lowest values in the lookback window. If, within the next few bars, price closes decisively above the support, the risk label would upgrade to a solid “Bear Trap” label.
Figure caption, In this example the trap module has identified both ends of a price range. Near the highs, price briefly pushes above the descending red trendline and the recent pivot high, but fails to close there and leaves a noticeable upper wick. That combination of a sweep above resistance and order‑flow mismatch generates a Bull Trap Risk label with a dashed outline, warning that the upside break may not hold. At the opposite extreme, price later dips below the green trendline and the labelled low pivot, then quickly snaps back and closes higher. The long lower wick and subsequent price reversal upgrade the previous bear‑trap risk into a confirmed Bear Trap (solid label), indicating that sellers were caught on a false breakdown. Horizontal dashed lines mark the highest high and lowest low of the lookback window, while the red and green diagonals connect the earliest and latest pivot highs and lows to visualize the range.
7. Sharp Move Module
7.1 Concept
Markets sometimes display absorption or climax behavior—periods when one side steadily gains the upper hand before price breaks out with a sharp move. This module evaluates several order‑flow and volume conditions to anticipate such moves. Users can choose how many conditions must be met to flag a risk and how many (plus a price break) are required for confirmation.
7.2 Inputs
• sharp Lookback: Number of bars in the window used to compute moving averages, sums, percentile ranks and reference levels.
• sharpPercentile: Minimum percentile rank for the current side’s volume; the current buy (or sell) volume must be greater than or equal to this percentile of historical volumes over the lookback window.
• sharpVolMult: Multiplier used in the volume climax check. The current side’s volume must exceed this multiple of its average to count as a climax.
• sharpRatioThr: Minimum dominance ratio (current side’s volume relative to the opposite side) used in both the instant and cumulative dominance checks.
• sharpChurnThr: Maximum ratio of a bar’s range to its ATR for absorption/churn detection; lower values indicate more absorption (large volume in a small range).
• sharpScoreRisk: Minimum number of conditions that must be true to print a risk label.
• sharpScoreConfirm: Minimum number of conditions plus a price break required for confirmation.
• sharpCvdThr: Threshold for cumulative delta divergence versus price change (positive for bullish accumulation, negative for bearish distribution).
• Label settings: ATR length (sharpATRlen) and multiplier (sharpLabelMult) for positioning labels, label size, colors and connector styles for bullish and bearish sharp moves.
• Toggles: enableSharp activates the module; show_sharp_labels controls whether labels are drawn.
7.3 Conditions (six per side)
For each side, the indicator computes six boolean conditions and sums them to form a score:
1. Dominance (instant and cumulative):
– Instant dominance: current buy volume ≥ sharpRatioThr × current sell volume.
– Cumulative dominance: sum of buy volumes over the window ≥ sharpRatioThr × sum of sell volumes (and vice versa for bearish checks).
2. Accumulation/Distribution divergence: Over the lookback window, cumulative delta rises by at least sharpCvdThr while price fails to rise (bullish), or cumulative delta falls by at least sharpCvdThr while price fails to fall (bearish).
3. Volume climax: The current side’s volume is ≥ sharpVolMult × its average and the product of volume and bar range is the highest in the lookback window.
4. Absorption/Churn: The current side’s volume divided by the bar’s range equals the highest value in the window and the bar’s range divided by ATR ≤ sharpChurnThr (indicating large volume within a small range).
5. Percentile rank: The current side’s volume percentile rank is ≥ sharp Percentile.
6. Mirror logic for sellers: The above checks are repeated with buyer and seller roles swapped and the price break levels reversed.
Each condition that passes contributes one point to the corresponding side’s score (0 or 1). Risk and confirmation thresholds are then applied to these scores.
7.4 Scoring and labels
• Risk: If scoreBull ≥ sharpScoreRisk, a “Sharp ↑ Risk” label is drawn above the bar. If scoreBear ≥ sharpScoreRisk, a “Sharp ↓ Risk” label is drawn below the bar.
• Confirmation: A risk label is upgraded to “Sharp ↑” when scoreBull ≥ sharpScoreConfirm and the bar closes above the highest recent pivot (HH1); for bearish cases, confirmation requires scoreBear ≥ sharpScoreConfirm and a close below the lowest pivot (LL1).
• Label positioning: Labels are offset from the candle by ATR × sharpLabelMult (full ATR times multiplier), not half, and may include a dashed or dotted connector line if enabled.
Figure caption, In this chart both bullish and bearish sharp‑move setups have been flagged. Earlier in the range, a “Sharp ↓ Risk” label appears beneath a candle: the sell‑side score met the risk threshold, signaling that the combination of strong sell volume, dominance and absorption within a narrow range suggested a potential sharp decline. The price did not close below the lower pivot, so this label remains a “risk” and no confirmation occurred. Later, as the market recovered and volume shifted back to the buy side, a “Sharp ↑ Risk” label prints above a candle near the top of the channel. Here, buy‑side dominance, cumulative delta divergence and a volume climax aligned, but price has not yet closed above the upper pivot (HH1), so the alert is still a risk rather than a confirmed sharp‑up move.
Figure caption, In this chart a Sharp ↑ label is displayed above a candle, indicating that the sharp move module has confirmed a bullish breakout. Prior bars satisfied the risk threshold — showing buy‑side dominance, positive cumulative delta divergence, a volume climax and strong absorption in a narrow range — and this candle closes above the highest recent pivot, upgrading the earlier “Sharp ↑ Risk” alert to a full Sharp ↑ signal. The green label is offset from the candle with a dashed connector, while the red and green trend lines trace the high and low pivot trajectories and the dashed horizontals mark the highest and lowest values of the lookback window.
8. Market‑Maker / Spread‑Capture Module
8.1 Concept
Liquidity providers often “capture the spread” by buying and selling in almost equal amounts within a very narrow price range. These bars can signal temporary congestion before a move or reflect algorithmic activity. This module flags bars where both buyer and seller volumes are high, the price range is only a few ticks and the buy/sell split remains close to 50%. It helps traders spot potential liquidity pockets.
8.2 Inputs
• scalpLookback: Window length used to compute volume averages.
• scalpVolMult: Multiplier applied to each side’s average volume; both buy and sell volumes must exceed this multiple.
• scalpTickCount: Maximum allowed number of ticks in a bar’s range (calculated as (high − low) / minTick). A value of 1 or 2 captures ultra‑small bars; increasing it relaxes the range requirement.
• scalpDeltaRatio: Maximum deviation from a perfect 50/50 split. For example, 0.05 means the buyer share must be between 45% and 55%.
• Label settings: ATR length, multiplier, size, colors, connector style and width.
• Toggles : show_scalp_module and show_scalp_labels to enable the module and its labels.
8.3 Signal
When, on the current bar, both TF_buy_breakout and TF_sell_breakout exceed scalpVolMult times their respective averages and (high − low)/minTick ≤ scalpTickCount and the buyer share is within scalpDeltaRatio of 50%, the module prints a “Spread ↔” label above the bar. The label uses the same ATR offset logic as other modules and draws a connector if enabled.
Figure caption, In this chart the spread‑capture module has identified a potential liquidity pocket. Buyer and seller volumes both spiked above their recent averages, yet the candle’s range measured only a couple of ticks and the buy/sell split stayed close to 50 %. This combination met the module’s criteria, so it printed a grey “Spread ↔” label above the bar. The red and green trend lines link the earliest and latest high and low pivots, and the dashed horizontals mark the highest high and lowest low within the current lookback window.
9. Money Flow Module
9.1 Concept
To translate volume into a monetary measure, this module multiplies each side’s volume by the closing price. It tracks buying and selling system money default currency on a per-bar basis and sums them over a chosen period. The difference between buy and sell currencies (Δ$) shows net inflow or outflow.
9.2 Inputs
• mf_period_len_mf: Number of bars used for summing buy and sell dollars.
• Label appearance settings: ATR length, multiplier, size, colors for up/down labels, and connector style and width.
• Toggles: Use enableMoneyFlowLabel_mf and showMFLabels to control whether the module and its labels are displayed.
9.3 Calculations
• Per-bar money: Buy $ = TF_buy_breakout × close; Sell $ = TF_sell_breakout × close. Their difference is Δ$ = Buy $ − Sell $.
• Summations: Over mf_period_len_mf bars, compute Σ Buy $, Σ Sell $ and ΣΔ$ using math.sum().
• Info table entries: Rows 9–13 display these values as texts like “↑ USD 1234 (1M)” or “ΣΔ USD −5678 (14)”, with colors reflecting whether buyers or sellers dominate.
• Money flow status: If Δ$ is positive the bar is marked “Money flow in” ; if negative, “Money flow out” ; if zero, “Neutral”. The cumulative status is similarly derived from ΣΔ.Labels print at the bar that changes the sign of ΣΔ, offset using ATR × label multiplier and styled per user preferences.
Figure caption, The chart illustrates a steady rise toward the highest recent pivot (HH1) with price riding between a rising green trend‑line and a red trend‑line drawn through earlier pivot highs. A green Money flow in label appears above the bar near the top of the channel, signaling that net dollar flow turned positive on this bar: buy‑side dollar volume exceeded sell‑side dollar volume, pushing the cumulative sum ΣΔ$ above zero. In the info table, the “Money flow (bar)” and “Money flow Σ” rows both read In, confirming that the indicator’s money‑flow module has detected an inflow at both bar and aggregate levels, while other modules (pivots, trend lines and support/resistance) remain active to provide structural context.
In this example the Money Flow module signals a net outflow. Price has been trending downward: successive high pivots form a falling red trend‑line and the low pivots form a descending green support line. When the latest bar broke below the previous low pivot (LL1), both the bar‑level and cumulative net dollar flow turned negative—selling volume at the close exceeded buying volume and pushed the cumulative Δ$ below zero. The module reacts by printing a red “Money flow out” label beneath the candle; the info table confirms that the “Money flow (bar)” and “Money flow Σ” rows both show Out, indicating sustained dominance of sellers in this period.
10. Info Table
10.1 Purpose
When enabled, the Info Table appears in the lower right of your chart. It summarises key values computed by the indicator—such as buy and sell volume, delta, total volume, breakout status, market phase, and money flow—so you can see at a glance which side is dominant and which signals are active.
10.2 Symbols
• ↑ / ↓ — Up (↑) denotes buy volume or money; down (↓) denotes sell volume or money.
• MA — Moving average. In the table it shows the average value of a series over the lookback period.
• Σ (Sigma) — Cumulative sum over the chosen lookback period.
• Δ (Delta) — Difference between buy and sell values.
• B / S — Buyer and seller share of total volume, expressed as percentages.
• Ref. Price — Reference price for breakout calculations, based on the latest pivot.
• Status — Indicates whether a breakout condition is currently active (True) or has failed.
10.3 Row definitions
1. Up volume / MA up volume – Displays current buy volume on the lower timeframe and its moving average over the lookback period.
2. Down volume / MA down volume – Shows current sell volume and its moving average; sell values are formatted in red for clarity.
3. Δ / ΣΔ – Lists the difference between buy and sell volume for the current bar and the cumulative delta volume over the lookback period.
4. Σ / MA Σ (Vol/MA) – Total volume (buy + sell) for the bar, with the ratio of this volume to its moving average; the right cell shows the average total volume.
5. B/S ratio – Buy and sell share of the total volume: current bar percentages and the average percentages across the lookback period.
6. Buyer Rank / Seller Rank – Ranks the bar’s buy and sell volumes among the last (n) bars; lower rank numbers indicate higher relative volume.
7. Σ Buy / Σ Sell – Sum of buy and sell volumes over the lookback window, indicating which side has traded more.
8. Breakout UP / DOWN – Shows the breakout thresholds (Ref. Price) and whether the breakout condition is active (True) or has failed.
9. Market Phase (Vol) – Reports the current volume‑only phase: Accumulation, Distribution or Neutral.
10. Money Flow – The final rows display dollar amounts and status:
– ↑ USD / Σ↑ USD – Buy dollars for the current bar and the cumulative sum over the money‑flow period.
– ↓ USD / Σ↓ USD – Sell dollars and their cumulative sum.
– Δ USD / ΣΔ USD – Net dollar difference (buy minus sell) for the bar and cumulatively.
– Money flow (bar) – Indicates whether the bar’s net dollar flow is positive (In), negative (Out) or neutral.
– Money flow Σ – Shows whether the cumulative net dollar flow across the chosen period is positive, negative or neutral.
The chart above shows a sequence of different signals from the indicator. A Bull Trap Risk appears after price briefly pushes above resistance but fails to hold, then a green Accum label identifies an accumulation phase. An upward breakout follows, confirmed by a Money flow in print. Later, a Sharp ↓ Risk warns of a possible sharp downturn; after price dips below support but quickly recovers, a Bear Trap label marks a false breakdown. The highlighted info table in the center summarizes key metrics at that moment, including current and average buy/sell volumes, net delta, total volume versus its moving average, breakout status (up and down), market phase (volume), and bar‑level and cumulative money flow (In/Out).
11. Conclusion & Final Remarks
This indicator was developed as a holistic study of market structure and order flow. It brings together several well‑known concepts from technical analysis—breakouts, accumulation and distribution phases, overbought and oversold extremes, bull and bear traps, sharp directional moves, market‑maker spread bars and money flow—into a single Pine Script tool. Each module is based on widely recognized trading ideas and was implemented after consulting reference materials and example strategies, so you can see in real time how these concepts interact on your chart.
A distinctive feature of this indicator is its reliance on per‑side volume: instead of tallying only total volume, it separately measures buy and sell transactions on a lower time frame. This approach gives a clearer view of who is in control—buyers or sellers—and helps filter breakouts, detect phases of accumulation or distribution, recognize potential traps, anticipate sharp moves and gauge whether liquidity providers are active. The money‑flow module extends this analysis by converting volume into currency values and tracking net inflow or outflow across a chosen window.
Although comprehensive, this indicator is intended solely as a guide. It highlights conditions and statistics that many traders find useful, but it does not generate trading signals or guarantee results. Ultimately, you remain responsible for your positions. Use the information presented here to inform your analysis, combine it with other tools and risk‑management techniques, and always make your own decisions when trading.
MTF Target Prediction LiteMTF Target Prediction Enhanced Lite
Description:
MTF Target Prediction Enhanced is an advanced multi-timeframe technical analysis indicator that identifies and clusters target price levels based on trendline breakouts across multiple timeframes. The indicator uses sophisticated clustering algorithms to group similar price targets and provides visual feedback through dynamic arrows, cluster boxes, and detailed statistics.
Key Features:
Multi-Timeframe Analysis: Simultaneously analyzes up to 8 different timeframes to identify convergence zones
Smart Clustering: Groups nearby target prices into clusters with quality scoring
Predictive Arrows: Dynamic arrows that track price movement toward cluster targets
Grace Period System: Prevents false cluster loss signals with configurable waiting period
Enhanced Quality Scoring: 5-component quality assessment (Density, Consistency, Reachability, Size, Momentum)
Real-time Statistics: Track performance with win rate, P&L, and success metrics
Adaptive Performance Modes: Optimize for speed or accuracy based on your needs
How It Works:
The indicator identifies pivot points and trendlines on each selected timeframe
When a trendline breakout occurs, it calculates a target price based on the measured move
Multiple targets from different timeframes are grouped into clusters when they converge
Each cluster receives a quality score based on multiple factors
High-quality clusters generate prediction arrows showing potential price targets
The system tracks whether targets are reached or clusters are lost
Settings Guide:
⚡ Performance
Performance Mode: Choose between Fast (200 bars), Balanced (500 bars), Full (1000 bars), or Unlimited processing
🎯 Clustering
Max Cluster Distance (%): Maximum price difference to group targets (default: 1.5%)
Min Cluster Size: Minimum number of targets to form a cluster (default: 2)
One Direction per TF: Allow only one direction signal per timeframe
Cluster Grace Period: Bars to wait before considering cluster lost (default: 10)
➡️ Prediction Arrows
Min Quality for Arrow: Minimum cluster quality to create arrow (0.1-1.0)
Quality Weights: Adjust importance of each quality component
Close Previous Arrows: Auto-close arrows when new ones appear
Use Trend Filter: Create arrows only in trend direction
Trend Filter Intensity: Sensitivity of trend detection (High/Medium/Low)
📅 Timeframes
Pivot Length: Bars for pivot calculation (default: 3)
Timeframes 1-8: Select up to 8 timeframes for analysis
Visualize
Show Cluster Analysis: Display cluster boxes and labels
Show Cluster Boxes: Rectangle visualization around clusters
Show TP Lines: Display individual target price lines
Show Trend Filter: Visualize trend cloud
Show Prediction Arrows: Display directional arrows to targets
Show Statistics Table: Performance metrics display
Visual Elements:
Green/Red Boxes: Cluster zones with transparency based on quality
Arrows: Diagonal lines pointing to cluster targets
Green/Red: Active and tracking
Orange: In grace period
Gray: Cluster lost
Labels: Detailed cluster information including:
Timeframes involved
Center price (C)
Quality score (Q)
Component scores (D,C,R,S,M)
Distance from current price
Result Markers:
✓ Green: Target reached successfully
✗ Red/Gray: Cluster lost
Quality Components Explained:
D (Density): How tightly packed the TPs are relative to ATR
C (Consistency): How close the timeframes are to each other
R (Reachability): Likelihood of reaching target based on distance and trend
S (Size): Number of TPs in cluster (with diminishing returns)
M (Momentum): Alignment with current price momentum
Best Practices:
Start with Balanced performance mode and default settings
Use higher timeframes (D, W) for more reliable clusters
Look for clusters with quality scores above 0.7
Enable trend filter to reduce false signals
Adjust grace period based on your timeframe (higher TF = longer grace)
Monitor the statistics table to track indicator performance
Alerts Available:
High-quality cluster formation (UP/DOWN)
Target reached notifications
Cluster lost warnings
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MTF Target Prediction Enhanced Lite
Описание:
MTF Target Prediction Enhanced - это продвинутый мультитаймфреймовый индикатор технического анализа, который идентифицирует и кластеризует целевые уровни цен на основе пробоев трендовых линий на нескольких таймфреймах. Индикатор использует сложные алгоритмы кластеризации для группировки схожих ценовых целей и предоставляет визуальную обратную связь через динамические стрелки, кластерные боксы и детальную статистику.
Ключевые особенности:
Мультитаймфреймовый анализ: Одновременный анализ до 8 различных таймфреймов для определения зон схождения
Умная кластеризация: Группировка близких целевых цен в кластеры с оценкой качества
Прогнозные стрелки: Динамические стрелки, отслеживающие движение цены к целям кластера
Система Grace Period: Предотвращение ложных сигналов потери кластера с настраиваемым периодом ожидания
Улучшенная оценка качества: 5-компонентная оценка (Плотность, Согласованность, Достижимость, Размер, Импульс)
Статистика в реальном времени: Отслеживание эффективности с винрейтом, P&L и метриками успеха
Адаптивные режимы производительности: Оптимизация скорости или точности по вашим потребностям
Как это работает:
Индикатор определяет опорные точки и трендовые линии на каждом выбранном таймфрейме
При пробое трендовой линии рассчитывается целевая цена на основе измеренного движения
Множественные цели с разных таймфреймов группируются в кластеры при схождении
Каждый кластер получает оценку качества на основе нескольких факторов
Высококачественные кластеры генерируют стрелки прогноза, показывающие потенциальные цели
Система отслеживает достижение целей или потерю кластеров
Руководство по настройкам:
⚡ Производительность
Performance Mode: Выбор между Fast (200 баров), Balanced (500), Full (1000) или Unlimited
🎯 Кластеризация
Max Cluster Distance (%): Максимальная разница цен для группировки (по умолчанию: 1.5%)
Min Cluster Size: Минимальное количество целей для формирования кластера (по умолчанию: 2)
One Direction per TF: Разрешить только один сигнал направления на таймфрейм
Cluster Grace Period: Бары ожидания перед потерей кластера (по умолчанию: 10)
➡️ Стрелки прогноза
Min Quality for Arrow: Минимальное качество кластера для создания стрелки (0.1-1.0)
Quality Weights: Настройка важности каждого компонента качества
Close Previous Arrows: Автозакрытие стрелок при появлении новых
Use Trend Filter: Создавать стрелки только в направлении тренда
Trend Filter Intensity: Чувствительность определения тренда (Высокая/Средняя/Низкая)
📅 Таймфреймы
Pivot Length: Бары для расчета пивота (по умолчанию: 3)
Timeframes 1-8: Выбор до 8 таймфреймов для анализа
Визуализация
Show Cluster Analysis: Отображение боксов и меток кластеров
Show Cluster Boxes: Визуализация прямоугольников вокруг кластеров
Show TP Lines: Отображение линий целевых цен
Show Trend Filter: Визуализация облака тренда
Show Prediction Arrows: Отображение направленных стрелок к целям
Show Statistics Table: Отображение метрик эффективности
Визуальные элементы:
Зеленые/Красные боксы: Зоны кластеров с прозрачностью на основе качества
Стрелки: Диагональные линии, указывающие на цели кластера
Зеленые/Красные: Активные и отслеживающие
Оранжевые: В периоде ожидания
Серые: Кластер потерян
Метки: Детальная информация о кластере:
Задействованные таймфреймы
Центральная цена (C)
Оценка качества (Q)
Оценки компонентов (D,C,R,S,M)
Расстояние от текущей цены
Маркеры результата:
✓ Зеленый: Цель успешно достигнута
✗ Красный/Серый: Кластер потерян
Объяснение компонентов качества:
D (Density/Плотность): Насколько плотно расположены TP относительно ATR
C (Consistency/Согласованность): Насколько близки таймфреймы друг к другу
R (Reachability/Достижимость): Вероятность достижения цели с учетом расстояния и тренда
S (Size/Размер): Количество TP в кластере (с убывающей отдачей)
M (Momentum/Импульс): Соответствие текущему импульсу цены
Лучшие практики:
Начните с режима Balanced и настроек по умолчанию
Используйте старшие таймфреймы (D, W) для более надежных кластеров
Ищите кластеры с оценкой качества выше 0.7
Включите фильтр тренда для уменьшения ложных сигналов
Настройте grace period в зависимости от вашего таймфрейма (старший TF = дольше grace)
Следите за таблицей статистики для отслеживания эффективности индикатора
Доступные алерты:
Формирование высококачественного кластера (ВВЕРХ/ВНИЗ)
Уведомления о достижении цели
Предупреждения о потере кластера
Disclaimer / Отказ от ответственности:
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management.
Данный индикатор предназначен только для образовательных и информационных целей. Прошлые результаты не гарантируют будущих результатов. Всегда проводите собственный анализ и управление рисками.
GrayZone Sniper [CHE] — Breakout Validation System GrayZone Sniper — Breakout Validation System
Trade only the clean breakouts. Detect the sideways “gray zone,” wait for a confirmed breach, and act only when momentum (TFRSI) and range expansion (Mean Deviation) align. Clear long/short triggers, one-shot exit signals, and persistent levels keep your manual trading disciplined and repeatable.
Why it boosts manual trading
* No guesswork: Grey box marks consolidation; you trade the validated break.
* Fewer fakeouts: Triggers require momentum + volatility—not just a wick through a level.
* Rules > bias: Optional close-only signals stop intrabar noise.
* Built-in exits: One-shot LS/SS (Long/Short Stop) when conditions degrade.
* Actionable visuals: Gray-zone boxes, persistent highs/lows, and a smooth T3 trendline.
What it does (short + precise)
1. Maps consolidation as a gray box (running high/low while state is neutral).
2. Validates breakouts only when:
* Mean Deviation filter says current range expands vs. its own baseline, and
* TFRSI momentum is above 50 + deadzone (long) or below 50 − deadzone (short), and
* Price closes beyond the last gray high/low (optional close-only).
→ You get L (long) or S (short).
3. Manages exits with a smooth T3 trendline plus MD trend: when MD weakens and T3 turns against the prior side, you get a single LS/SS stop signal.
4. Extends structure: Last gray-zone H/L can persist as right-extended levels for retests/targets.
5. Ready for alerts: Prebuilt alert conditions for L, S, LS, SS.
Signals at a glance
* L – Long Trigger (validated breakout up)
* S – Short Trigger (validated breakout down)
* LS – Long Stop (exit hint for open long)
* SS – Short Stop (exit hint for open short)
Why TFRSI + Mean Deviation is a killer combo
They measure different, complementary things—and that reduces correlated errors.
* Mean Deviation (MD) = range expansion filter. It checks whether current absolute deviation of Typical Price from its SMA (|TP − SMA(TP)|) is greater than its own historical mean deviation baseline. In plain English: *is the market actually moving beyond its usual wiggle?* If not, most breakouts are noise.
* TFRSI = directional momentum around a 50 baseline, normalized and smoothed to react fast while avoiding raw RSI twitchiness.
* Synergy:
* MD confirms there’s energy (volatility regime has expanded).
* TFRSI confirms where that energy points (bull or bear).
* Requiring both gives you high-quality, directional expansion—the exact condition that tends to produce follow-through, while filtering the classic “thin break, immediate snap-back.”
Result: Fewer trades, better quality. You skip most range breaks without momentum or momentum pops without real expansion.
Inputs & Functions (clean overview)
Core: TFRSI & MD
* TFRSI Length (`tfrsiLen`, default 6): Longer = smoother, slower.
* TFRSI Smoothing (`tfrsiSignalLen`, default 2): SMA on TFRSI for cleaner signals.
* Mean Deviation Period (`mdLen`, default 20): Baseline for expansion filter.
* Use classical MD (`useTaDev`, default off):
* Off: MD vs current SMA (warning-free internal baseline).
* On: Classical `ta.dev` implementation.
* TFRSI Deadzone ± around 50 (`tfrsiDeadzone`, default 1.0): Wider deadzone = stricter momentum confirmation (less chop).
Triggers & Logic
* Trigger only on bar close (`fireOnCloseOnly`, default on): Confirmed signals only; no intrabar flicker.
* Reset gray bounds after trigger (`resetGrayBoundsAfterTrigger`, default on): Clears last gray H/L once a trade triggers.
* Auto-deactivate on neutral (`autoDeactivateOnNeutral`, default off): Strict disarm when state flips back to neutral.
Gray-Zone Boxes
* Show boxes (`showGrayBoxes`, default on): Draws the neutral consolidation box.
* Max boxes (`maxGrayBoxes`, default 10): How many historic boxes to keep.
* Transparency (`boxFillTransp`/`boxBorderTransp`, defaults 85/30): Visual tuning.
Trendline (T3)
* T3 Length (`t3Length`, default 3): Smoothing depth (higher = smoother).
* T3 Volume Factor (`t3VolumeFactor`, default 0.7): Controls responsiveness of the T3 curve.
Persistent Levels
* Persist gray H/L (`saveGrayLevels`, default on): Extend last gray high/low to the right.
* Max saved level pairs (`maxSavedGrayLvls`, default 1): How many H/L pairs to keep.
* Reset levels on trigger (`resetLevelsOnTrig`, default off): Clean slate after new trigger.
Debug & Visuals
* Show debug markers (`showDebugMarkers`, default on): Display L/S/LS/SS in the pane.
* Show legend (`showLegend`, default on): Compact legend (top-right).
How to trade it (practical)
1. Keep close-only on. Let the market finish the candle.
2. Wait for a clean gray box. Let the range define itself.
3. Take only L/S triggers where MD filter passes and TFRSI confirms.
4. Use persistent levels for retests/partials/targets.
5. Respect LS/SS. When expansion fades and T3 turns, exit without debate.
Tuning tips:
* More chop? Increase `tfrsiDeadzone` or `mdLen`.
* Want faster entries? Slightly reduce `t3Length` or deadzone, but expect more noise.
* Works across assets/timeframes (crypto/FX/indices/equities).
Bottom line
GrayZone Sniper enforces a simple, robust rule: Don’t touch the market until it breaks a defined range with real expansion and aligned momentum. That’s why TFRSI + Mean Deviation is hard to beat—and why your manual breakout trades get cleaner, calmer, and more consistent.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence with Triple Power Stop (CHE)! 🚀
Happy trading
Chervolino
Dynamic Support and Resistance V2 | AnonycryptousThe Dynamic Support and Resistance V2 indicator, an easy tool to identify key support, resistance, trendline levels, pivot points and volume data.
Pivot Points.
Calculates support, resistance and trendline levels using pivot points, which are derived from the high, low, and close prices of previous trading periods.
Customize the pivot calculation by using Close' or 'High/Low' and adjusting the lookback periods for both the left and right sides of the pivot calculation.
Pivot points are crucial for forecasting potential market turning points, so it allows traders to adapt the indicator to different market conditions and timeframes.
By using pivot points, traders can spot reversal and consolidation levels or trendlines early on, allowing them to react to them in time.
Volume Levels.
This option focuses on identifying support and resistance levels based on volume data, specifically the Point of Control.
The POC is the highest traded volume price level during a time period.
This POC calculation, allow traders to areas of significant trading levels as support or resistance zones.
Volume-based levels gives insights into market sentiment and showes strong support and resistance based on trading volume.
Traders can choose between pivot-based and volume-based levels or use both simultaneously, depending on their analysis.
The indicator offers custom colors, so the trader can customize their visual analysis to their own style.
It calculates the importance of each level based on the number of touches and the duration it holds.
This indicator is intended for educational and informational purposes only and should not be considered financial advice.
Trading involves significant risk, and you should consult with a financial advisor before making any trading decisions.
The performance of this indicator is not guaranteed, and past results do not predict future performance.
Use at your own risk.
Aladin 2.0 — Invite‑Only (Custom Smoother + Supertrend Filter)Aladin 2.0 invite‑only by @AryaTrades69
Overview
Aladin 2.0 blends a proprietary multi‑stage smoother baseline, volatility envelopes, and a Supertrend‑based ATR trailing filter to structure clean, bar‑close signals. Optional “golden‑zone style” retracement gating and mapped SL/TP zones are included. This is a tool for analysis, accuracy is best when you add manual confluence (trendlines, support/resistance) to filter out low‑quality signals.
What’s inside
Proprietary multi‑stage smoother (baseline)
Custom smoothed baseline with adjustable length and a smoothing coefficient. Drives core breakout logic without revealing internal formulas.
Volatility envelopes
Breakout candidates when price closes beyond adaptive volatility bands.
Supertrend‑based trend filter (optional, MTF)
ATR‑trailing regime filter to keep signals aligned with trend; can run on higher timeframes.
Golden‑zone style retracement gate (optional)
Only allow signals within a defined pullback zone of the recent range.
Spacing & structure controls
Minimum bars between signals plus a simple HH/LL gate to avoid clustered whipsaws.
SL/TP mapping (optional)
SL from most recent confirmed swing; ATR fallback if no swing is found.
TP1/TP2/TP3 by user‑defined R:R; move SL to breakeven at TP1.
Shaded zones for SL and target area (time‑limited for clarity).
How to use
Choose your timeframe (intraday to swing). Signals compute on bar close.
Enable the trend filter for strictly trend‑aligned entries (Supertrend‑based ATR trail). MTF is supported.
Use the golden‑zone gate to prioritize higher‑quality pullbacks.
Validate with manual confluence:
Trendlines, structure breaks
Support/resistance or supply/demand
Session/volatility context
Optionally enable SL/TP areas, set R:R, and configure alerts.
Inputs (key controls)
Smoother length & smoothing coefficient (baseline sensitivity/lag)
Range period & multiplier (volatility envelopes)
Min bars between signals (signal frequency)
Trend filter (ATR trail): factor, ATR period, line smoothing, optional higher timeframe
Golden‑zone retracement: lookback, min/max bounds
SL/TP: swing lookback, ATR fallback, TP1/2/3 R:R, zone display width
Alerts
Long/Short signal on bar close
TP1/TP2/TP3 hit
SL hit / Breakeven event
(Setup: Add Alert → Condition: Aladin 2.0 → choose event)
MTF & repaint policy
Signals are calculated on bar close; the trend filter uses security with lookahead off.
Swing‑based SL uses confirmed pivots.
With an HTF filter enabled on an LTF chart, the HTF line/state finalizes when the HTF bar closes (standard MTF behavior).
Best practices
Not a set‑and‑forget system. Accuracy improves when you manually filter weaker signals with trendlines and support/resistance, and prioritize clean market structure.
Consider conservative settings or the trend filter during choppy, low‑volatility periods.
Access
Invite‑Only. Request access via TradingView PM to @AryaTrades69.
Redistribution or code extraction is not permitted.
Disclaimer
For educational purposes only. Not financial advice.
No guarantees of profitability. Trading involves risk. Do your own research.
Changelog (v2.0)
Optional MTF ATR‑trail trend filter (Supertrend concept)
Golden‑zone style retracement gating
Min‑bars spacing and basic HH/LL gating
SL/TP mapping with BE at TP1 and shaded zones
Stability and performance improvements
RAMS TrapMaster ConfluenceOverview:
The TrapMaster Confluence indicator is a tactical multi-factor confirmation system designed to identify high-probability intraday and swing trade setups. It aligns multiple technical signals—momentum, trend, volume, and price action—to generate a clear bias score. By requiring confluence across several dimensions, it filters out weak or noisy signals and highlights trades with broader technical agreement. This tool is tailored for semi-advanced retail traders across equities, futures, and crypto who seek objective, structured confirmations before entering a position.
Confluence Components:
RSI (Relative Strength Index):
Evaluates momentum strength and trend bias. The script dynamically checks for crossovers at the 50 midline and extreme overbought/oversold zones to determine directional pressure.
MACD (Moving Average Convergence Divergence):
Detects momentum shifts using signal line crossovers and MACD histogram polarity. The script uses MACD direction and histogram flips to contribute to bullish or bearish pressure.
SMA 5 vs. SMA 20:
Captures short-term trend shifts via fast–slow moving average crossovers. A rising 5-SMA over a falling 20-SMA supports a bullish thesis and vice versa.
SMA 50 vs. SMA 200:
Used to confirm longer-term trend bias (e.g. golden cross or death cross) and add weight to the broader market structure.
SMA 5 Trend Direction:
Assesses immediate trend slope. An upward or downward slope of the 5-SMA confirms recent price acceleration or deceleration.
Volume Spike:
Flags high-volume price moves, helping validate whether momentum is supported by institutional participation or liquidity interest.
Rising Volume Bars:
Confirms directional strength through consistent increases in volume during trends. Sustained rising volume suggests growing conviction.
VWAP (Volume-Weighted Average Price):
Anchors price to institutional average cost per session. Price above VWAP typically indicates bullish sentiment; below signals bearish sentiment.
Candlestick Confirmation:
Confirms signals using recent price action (e.g. engulfing candles, breakouts with volume). Adds an extra layer of price behavior validation.
Contrarian Mode (Optional):
This feature flips the typical logic to catch high-probability reversal zones. When many signals align in one direction, contrarian mode allows the user to search for exhaustion points in sentiment or momentum, potentially capturing mean reversions.
Each confluence factor contributes a vote to a composite bias count. Users define a threshold (e.g., 4 out of 6 conditions) to trigger a signal. The indicator does not rely on any one signal, but instead rewards alignment across multiple technical aspects.
Signal Generation & Alerts:
When the defined confluence threshold is met, a signal label appears on the chart with directional context (long or short). Alerts can be tied to these signals, allowing the user to be notified in real time when actionable setups occur. The system supports “next candle confirmation,” which delays signal printing until the bar closes, minimizing premature alerts. All labels are limited to the most recent few to reduce chart clutter.
Dashboard Overview:
The optional real-time dashboard shows which confluence components are active on the current candle. This visual panel is customizable, updating dynamically and remaining hidden when no conditions are met. It includes:
Each factor with active/inactive status
Current bullish and bearish score counts
Real-time snapshot of bias development
Customization & Controls:
All components can be toggled on or off. Traders can choose to require stricter or looser confirmation thresholds. Label visibility, signal timing, and dashboard position/size are fully adjustable. This allows the indicator to adapt across timeframes and trading styles — whether scalping or swing trading.
Suggested Use with Trendlines and support and resistance:
TrapMaster becomes significantly more powerful when used alongside manual or automated support/resistance and trendline analysis. Confluence signals occurring near:
major support zones,
resistance levels,
trendline retests.
Fibonacci retracements,
help validate the price’s reaction to those areas. Traders can pre-mark key price zones, then use TrapMaster to confirm entries as momentum builds at those levels. This strengthens conviction and supports timing decisions when structure and indicators align.
Why It’s Different:
Most scripts offer a single signal or simplistic crossover logic. TrapMaster offers multi-dimensional logic that evaluates a comprehensive set of confluence factors—each customizable—with real-time logic that updates on every bar. The built-in dashboard provides a highly readable tactical summary. Its optional contrarian bias engine, dashboard visuals, factor-level customization, and risk-filtering logic (e.g. delayed confirmation and volume context) make it a flexible and advanced system not commonly found in traditional retail indicators.
Disclaimers:
This tool is for educational and analytical use only. It is not intended as trading or financial advice. All trading carries risk, and past performance is not indicative of future results. Always use proper risk management and conduct your own independent analysis before making trading decisions.
Developed by: TRAPPER-RAMS
Jul 24
Release Notes
This is the official update to RAMS TrapMaster Confluence, featuring massive enhancements across visual clarity, confluence accuracy, and real-time alert precision.
What's New:
Accurate Confluence Dashboard
Triple-row layout: Bullish , Bearish , and clear headers
Bull/Bear condition separation for total clarity
SMA 5/20 & 50/200 cross states tracked and displayed
Fully Integrated Alerts
Alerts for 5/20 and 50/200 SMA crosses
Bullish 💸 and Bearish 💰 confluence entry alerts
Instant trigger-ready setup
Visual Label Overhaul
💸 = Buy Signal (normal mode)
💰 = Sell Signal (normal mode)
🧨 = Contrarian Bull Flip
💣 = Contrarian Bear Flip
Cross labels show exact bar: "5/20 X", "50/200 X"
CoolDown & Memory-Efficient Label Logic
• Configurable label cooldown per N bars
• Old signals auto-deleted to prevent overflow
Use Cases:
This update is ideal for traders looking for precision entry timing, while understanding the full bull/bear backdrop in real-time.
Cubic Regression with Rainbow Grid (Adaptive StDev)Cubic Regression with Rainbow Channel
Description
The Cubic Regression with Rainbow Channel is an advanced technical analysis tool designed to identify trends and measure market volatility. It plots a cubic regression trendline surrounded by a "rainbow" of quantile bands.
Its primary feature is a unique adaptive volatility model. Instead of using a single period for standard deviation, it blends a long-term (stable) and a short-term (responsive) deviation. The user can control the weight between these two, allowing for fine-tuning of the channel's sensitivity to recent volatility changes.
How to Use and Recommendations
This indicator can be used for trend analysis, volatility assessment, and generating trading signals.
1. Trend Identification:
The central white line represents the calculated cubic regression trend.
Uptrend: The line curves upwards.
Downtrend: The line curves downwards.
Consolidation: The line moves sideways.
The curve's angle indicates the trend's strength.
2. Volatility Analysis:
The width of the rainbow is a direct measure of market volatility.
Wide Channel (High Volatility): Indicates significant price movement and uncertainty. Be cautious, as prices can swing wildly.
Narrow Channel (Low Volatility): Signals a period of consolidation or low market activity. Often, a "squeeze" (a very narrow channel) precedes a strong breakout.
3. Trading Signals:
Mean Reversion (Primary Strategy):
Sell Signal: When the price reaches the upper, "hot" bands (yellow, orange, red), it is considered overbought or overextended. Look for a potential reversal back towards the central white line.
Buy Signal: When the price touches the lower, "cold" bands (aqua, navy, purple), it is considered oversold. Look for a potential bounce back towards the central trendline.
Breakout Confirmation:
If the price consistently closes outside the outer bands (red or purple), especially as the channel is widening, it may signal the start of a very strong new trend, invalidating the mean-reversion signal.
4. Key Recommendations:
Always Use Confirmation: Do not use this indicator in isolation. Confirm its signals with other tools like RSI for momentum, MACD for trend confirmation, or Volume analysis.
Tune the Parameters:
Regression Period: Adjust this to fit the character of the asset. A longer period creates a smoother, more stable trendline suitable for long-term analysis. A shorter period makes it more responsive to recent price action.
Short StDev Weight (%): This is the most important setting. Start with a value around 20-40%.
Increase the weight to make the channel react faster to volatility spikes (good for short-term trading).
Decrease the weight for a smoother, more stable channel that filters out market noise (better for trend-following).
Context is King: The indicator is most reliable in markets that tend to revert to a mean. In a very strong, one-directional trend, mean-reversion signals may fail repeatedly.
Zero Lag MTF On Balance Volume Oscillator by CoffeeShopCryptoIntroducing the Zero Lag Multi Timeframe On Balance Volume Oscillator — the next evolution in volume trading.
Imagine tracking both your trading timeframe and any higher timeframe volume in real time, with absolutely zero lag and no waiting for candles to close.
Whether you’re comparing a 1-minute chart to a 2-hour chart, or a 5-minute to a daily, you’ll instantly see how volume is shifting across timeframes — live, as it happens.
This unique oscillator reveals volume divergences, confirms breakouts, and shows you exactly when buyers or sellers are in control by oscillating around a zero line — with no repainting, ever.
Don’t let delayed tools make you miss the move. Stay ahead of the market with the Zero Lag Multi Timeframe OBV Oscillator — and trade with volume on your side.
(OBV) was created by Joe Granville and introduced in his 1963 book Granville's New Key To Stock Market Profits.
The indicator is significant in history because it was one of the first known indicators to account for positive and negative volume flow.
However the concept and method most people use for today is simply observing a singular current timeframe chart of volume.
The purpose of this volume indicator is to tell you when both the higher timeframe volume and lower timeframe volume are moving in accordance with each other so you have a more clear understanding of the broad picture of the market movement.
This indicator uses the same basic concept of OBV but plots it as an oscillator.
Volume Divergence
What is a Volume Divergence:
A volume divergence takes place when the spread between the HTF and LTF volume isnt reaching higher highs or lower lows while price is reaching higher highs and lower lows. This is more accurate than noting divergence peaks from other indicators like the RSI or MACD because those are giving you an average but the OBV in its "RAW" setting is giving you actual bullish or bearish volume spikes per candle.
How to trade a Volume Divergence:
When you note either a bullish or bearish volume divergence you need to switch to a divergence trading strategy.
BULLISH DIVERGENCE STRATEGY
1.Zone out the range of candles that caused the divergence
2. If this is a bullish divergence, find the swing high on the volume between point A and B and mark that price level
3. This level should play out as a new support level for price.
4. Let the price break and retest this level
OR
BEARISH DIVERGENCE STRATEGY
1.Zone out the range of candles that caused the divergence
2. If this is a bearish divergence, find the swing low on the volume between point A and B and mark that price level
3. This level should play out as a new resistance level for price.
4. Let the price break and retest this level.
Confirming Trendline Breaks
While following short term trendlines on price, you can detect when price trends are broken.
If volume still supports the previous trend when the trendline is broken, you wait for price to react to a previous support or resistance level, or you want for price to retrace to a fair value gap and follow the trend that follows the supporting volume.
Confirming Trend Direction
Confirming a trend direction means that both the high timeframe and low timeframe trend agree with each other while price is moving away from a previously tested support or resistance area. Once price moves out of these key levels and the oscillator confirms a particular direction, you have the start of your new trend and are open for trades.
Volume Smoothing Settings
You can look at Volume in different ways. Commonly you want to smooth it to match your trading style. So if price is trending between range levels, you want to see HOW its trending. If your go to is to use an EMA, SMA, WMA, or other smoothing style, then set the ZLMTF OBV to match this in the "smoothing settings.
Here are the different ways you can set it and how it appears on the chart.
Raw Volume
This gives you the Raw volume calculations with no smoothing taking place.
(Commonly you would use this as price intercepts key levels.
SMA Smoothed Volume
This gives you the Raw volume smoothed over an SMA calculation which you would watch if you commonly use Smoothed Moving Averages on your chart while price is not near a support or resistance area.
Other Smoothing Outputs
You also have the ability to choose between EMA, SMMA, WMA, and VWAM types of smoothing to compare to the smoothing you use on your chart.
MestreDoFOMO RENKO Sushy System v6🔍 What is this script?
The MestreDoFOMO RENKO Sushy System is a visual tool developed to help traders better interpret the market trend based on a Renko logic adapted to traditional candlestick charts.
It does not use TradingView's native Renko chart, but rather a simulation of Renko behavior, calculated dynamically in real time, adapting to the percentage movement of the price.
🧠 How does it work?
The script uses a Renko simulation with an adjustable percentage base (Renko Size), allowing the trader to define the size of the virtual "blocks" or "bricks" in % of the price. This logic creates a dynamic trend line that changes direction only when there is a sufficient variation in the price — filtering out noise and helping to focus on the prevailing direction.
When a change in direction occurs, a visual signal is displayed on the chart:
💲 Buy signal, when the trend changes from bearish to bullish
👹 Sell signal, when the trend changes from bullish to bearish
These signals are not automatic trading alerts, but rather visual periodic signals based on the internal logic of the system.
📈 Why do we include EMAs (20, 50 and 200)?
Exponential moving averages (EMAs) are widely used in technical analysis as supporting tools for understanding market structure:
EMA 20: A short-term indicator, useful for capturing recent movements.
EMA 50: Considered an interactive trend average, often used as dynamic support/resistance.
EMA 200: A long-term reference, often used to identify the "bigger direction" of the market.
EMAs are indicated in the script and can be enabled or disabled according to the user's preference. They are not part of the signal logic — they serve only as visual and contextual support to assist the trader's manual analysis.
📋 Included features
✅ Renko logic adapted to the candlestick chart, with sensitivity control in %
✅ Trend line based on the current Renko direction
✅ Visual signals of trend change (buy/sell)
✅ Option to enable/disable EMAs 20, 50 and 200
✅ Information panel with trend status, EMA values and current parameters
✅ Customizable trend change alerts
✅ Background color to strengthen the direction (green = high, red = low)
🛠 How to use?
Choose the timeframe: Works best on timeframes longer than 1 hour (e.g. 1H, 4H, Daily).
Adjust the Renko size (%): Try starting with 1% and adjusting according to the asset (crypto, forex, etc.).
Decide whether to use EMAs: Only activate if you want additional context.
Observe the signals and the trend line: They are useful for detecting possible reversals or confirmations of movement.
Combine with other elements: This system is a support tool. For best results, use it in conjunction with price action, liquidity zones or other complementary indicators.
⚠️ Important notice
This script does not execute orders or make automatic decisions. It is an educational and visual tool created to help read the trend in a clean and simple way.
No guarantee of past or future performance is provided. Use is at the sole risk of the user.
ABC Trading ConceptOverview
ABC Trading Concept is a wave- and trend-based market structure indicator that identifies shifts in price behavior by analyzing impulse and correction patterns. It introduces a unique calculation method—Price-MAD-ATR Bands—to detect wave formation, trend reversals, and potential trade zones with dynamic adaptability to volatility and trend strength.
🔧 Core Logic and Calculations
1. Price-MAD-ATR Bands
At the heart of the script is a proprietary channel system based on:
MAD (MA Difference): Difference between fast and slow moving averages.
ATR (Average True Range): Measures current market volatility.
The bands are plotted as:
Upper Band = Price + MAD × ATR
Lower Band = Price − MAD × ATR
A breakout beyond these bands signals the formation of a new wave (up or down).
2. Wave Formation (A and B Waves)
Standard Method: A new wave forms when price breaks through a Price-MAD-ATR Band.
Extreme Method: A wave also forms when price breaks the passive extremum of an existing wave.
Wave A may be generated by a correction breaking the Reversal Point.
Wave B can be configured to form in three modes, including breakouts of internal or boosted counter-corrections.
3. Trend Structure
A trend is built from waves and includes:
Direction, active/passive extremums
Impulses and Corrections (each tracked independently)
Reversal Point: Defined by a boosted correction breakout
G-Point: Set at the active extremum of Wave A
Vic Line: A trendline derived from previous correction extremums (optional)
When price breaks above the G-point, a new trend may be initiated.
4. Correction Boost Logic
A correction becomes boosted when price exceeds a configurable multiple of the correction’s range. Boosted corrections define key zones and enable the creation of Reversal Points and Wave A setups.
5. Vic Sperandeo Line
Optionally used to enhance trend structure confirmation. Drawn between extremums of previous corrections and may act as a secondary condition for forming Wave A.
6. SL/TP Level Calculation
At the start of a new trend, SL and TP levels are automatically plotted based on:
The extremums of Wave A or Wave B (selectable)
Configurable ratios (e.g., 1.382, 2.0, 2.618 for TP levels)
📊 Visual Elements on the Chart
Bands: Price-MAD-ATR Bands as adaptive upper/lower thresholds
Waves: Yellow zigzag lines
Trends: Blue (or purple for hard-type) trendlines with directional arrow
Reversal Point: Dashed horizontal line (starts from key correction breakout)
Correction Zone: Shaded rectangle from boosted correction range
Vic Line: Dashed support/resistance trendline
TP/SL Levels: Dotted horizontal levels, plotted at trend origin
⚙️ Inputs and Customization
You can adjust:
ATR and MA parameters
Band width multiplier
Boost strength threshold for corrections
SL/TP levels and logic (by Wave A or B)
Vic Line usage and visual styles for each element
Over 40 configurable settings are available to adapt the indicator to your strategy.
🧠 How to Use
Look for a new trend start when G-point is broken.
Use Wave A/B structure and Reversal Point for setup planning.
Correction Zones help identify re-entry areas or stop placement.
Follow TP/SL levels to manage exits with structural targets.
The Vic Line can act as dynamic support/resistance in context.
The indicator provides analytical insights—it does not generate automatic signals.
💡 What Makes It Unique
Unlike typical wave or Zigzag indicators, ABC Trading Concept introduces a volatility-adjusted wave logic using Price-MAD-ATR Bands. This method combines trend momentum (MA differential) with market volatility (ATR), offering a more flexible and noise-resistant structure recognition system. The integration of Wave A/B logic, dynamic reversal zones, and Vic Line validation makes it a comprehensive tool for structural traders.
⚠️ Disclaimer
This tool is for technical analysis and educational purposes. It does not guarantee profit or forecast market direction. Trading involves risk—use this script as part of a larger strategy with proper risk management.
OBV TSI IndicatorThe OBV TSI Indicator combines two powerful technical analysis tools: the On-Balance Volume (OBV) and the True Strength Index (TSI). This hybrid approach provides insights into both volume dynamics and momentum, helping traders identify potential trend reversals, breakouts, or continuations with greater accuracy.
The OBV TSI Indicator tracks cumulative volume shifts via OBV and integrates the TSI for momentum analysis. It offers customizable moving average options for further smoothing. Visual trendlines, pivot points, and signal markers enhance clarity.
The OBV tracks volume flow by summing volumes based on price changes. Positive volume is added when prices rise, and negative volume is subtracted when prices fall. The result is smoothed to detect meaningful trends in volume. A volume spread is derived from the difference between the smoothed OBV and cumulative volume. This is then adjusted by the price deviation to generate the shadow spread, which highlights critical volume-driven price levels.
The shadow spread is added to either the high or low price, depending on its sign, producing a refined OBV output. This serves as the main source for the subsequent TSI calculation. The TSI is a momentum oscillator calculated using double-smoothed price changes. It provides an accurate measure of trend strength and direction.
Various moving average options, such as EMA, DEMA, or TEMA, are applied to the smoothed OBV for additional trend filtering. Users can select their preferred type and length to suit their trading strategy. Trendlines are plotted to visualize the overall direction. When a significant change in trend is detected, up or down arrows indicate potential buy or sell signals. The script identifies key pivot points based on the highest and lowest levels within a defined period. These pivots help pinpoint reversal zones.
The indicator offers customization options, allowing users to adjust the OBV length for smoothing, choose from various moving average types, and fine-tune the short, long, and signal periods for TSI. Additionally, users can toggle visibility for trendlines, signals, and pivots to suit their preferences.
This indicator is ideal for practical use cases such as spotting potential trend reversals by observing TSI crossovers and pivot levels, anticipating breakouts from key price levels using the shadow spread, and validating trends by aligning TSI signals with OBV and moving averages.
The OBV TSI Indicator is a versatile tool designed to enhance decision-making in trading by combining volume and momentum analysis. Its flexibility and visual aids make it suitable for traders of all experience levels. By leveraging its insights, you can confidently navigate market trends and improve your trading outcomes.
New Rate - PROIndicator Description: New Rate - PRO
The New Rate - PRO is an advanced trading indicator designed to assist traders in identifying significant price levels and potential reversal points within a specified time frame. By highlighting key highs and lows, projecting trendlines, and providing visual cues, this indicator enhances your ability to make informed trading decisions. It offers extensive customization options, ensuring adaptability to various trading styles and market conditions.
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Key Features:
Customizable Color Themes: Choose between Dark and Light color styles to match your chart preferences.
High and Low Line Detection: Automatically identifies and draws lines for significant high and low price levels within the defined analysis period.
Midline Projection: Optionally displays a midline representing the 50% range between the detected high and low, aiding in trend analysis.
Candle Coloring: Colors the first six candles within the analysis range with a specific color, while the remaining candles are displayed in a subdued gray for clarity.
Trading Session Highlight: Highlights the designated trading hours on the chart, providing a clear visual reference for active trading periods.
Touch Detection Arrows: Plots arrows on the chart when the price touches the detected high or low levels, indicating potential trading opportunities.
Extensive Customization Options: Allows users to adjust line colors, styles, widths, label texts, and more to suit individual trading preferences.
Timeframe and Range Configuration: Defines the specific timeframe and time range for analysis, ensuring precise detection of significant price levels.
How Does the Indicator Work?
Color Style Selection:
- Choose between "Dark" or "Light" themes to match your chart setup, adjusting the color palette for optimal visibility.
High and Low Line Detection:
- The indicator analyzes the first six candles within the specified time range to identify the highest and lowest price levels.
- Once detected, it draws horizontal lines extending 25 candles to the right, marking these significant levels on the chart.
Midline Projection:
- If enabled, the indicator calculates the midpoint between the detected high and low.
- It then draws a horizontal line at this midpoint, providing an additional reference for potential support or resistance.
Candle Coloring:
- The first six candles within the analysis period are colored based on user selection (default: yellow).
- Subsequent candles are displayed in a semi-transparent gray, allowing the key candles to stand out.
Trading Session Highlight:
- Highlights the active trading hours on the chart using a semi-transparent orange background.
- This visual aid helps traders focus on periods of increased market activity.
Touch Detection Arrows:
- When the price touches the previously detected high or low levels, the indicator plots an upward green arrow or a downward red arrow, respectively.
- These arrows signal potential entry points for buy or sell trades.
Customization of Labels and Lines:
- Users can customize the colors, styles (Solid, Dotted, Dashed), and widths of the high, low, and midline.
- Label texts and font sizes are also adjustable to enhance readability.
How to Use the Indicator?
Setup Color Themes:
- Select your preferred color theme ("Dark" or "Light") to ensure the indicator aligns with your chart's appearance.
Configure High and Low Lines:
- Adjust the line color, style, and width to clearly distinguish high and low levels on the chart.
- Enable or disable the midline based on your analysis needs.
Set Timeframe and Analysis Range:
- Define the chart's timeframe in minutes (e.g., 5 minutes) to tailor the indicator's sensitivity.
- Specify the start and end hours and minutes for the analysis period to focus on specific trading sessions.
Customize Candle Colors:
- Choose the color for the first six candles within the analysis range.
- The remaining candles will automatically be displayed in a default gray color.
Enable Trading Session Highlight:
- Activate the background highlight for the trading session to visually separate active trading hours from inactive periods.
Monitor Touch Detection Arrows:
- Watch for green upward arrows indicating potential buy signals when the price touches the high level.
- Look for red downward arrows signaling potential sell opportunities when the price reaches the low level.
Adjust Labels and Visual Elements:
- Modify label texts and font sizes to ensure clarity and avoid clutter on the chart.
- Fine-tune line styles and colors for better visual differentiation.
Plan Your Trades:
- Use the detected high and low levels as reference points for setting entry, stop-loss, and take-profit levels.
- Combine with other technical analysis tools to confirm trade signals and enhance decision-making.
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What Makes This Indicator Original?
Dynamic High and Low Detection: Automatically identifies significant price levels within a defined time range, providing timely insights into market movements.
Midline Projection Feature: Offers an additional reference point by calculating and displaying the midpoint between high and low levels, aiding in trend analysis.
Customizable Visual Elements: Extensive customization options for colors, styles, and labels allow traders to tailor the indicator to their specific preferences and trading environments.
Touch Detection Arrows: Provides clear visual signals when the price interacts with key levels, facilitating quick decision-making for trade entries.
Trading Session Highlight: Enhances focus by visually distinguishing active trading periods, helping traders concentrate on high-probability trading times.
Trade Summary Visualization: (If applicable based on code) Offers a summary of recent trades, allowing traders to assess performance directly on the chart.
Additional Considerations
Testing and Optimization: Before deploying the indicator in live trading, test it on historical data and a demo account to fine-tune settings according to your trading strategy.
Complementary Analysis: Use the indicator alongside other technical analysis tools such as moving averages, trendlines, and oscillators to confirm trade signals.
Risk Management: Always set appropriate stop-loss and take-profit levels to manage risk effectively, regardless of the indicator's signals.
Stay Informed: Keep abreast of market news and economic events that may influence price movements and affect the indicator's performance.
Adjust for Different Assets: Customize the indicator's settings based on the asset's volatility and trading behavior to enhance accuracy and reliability.
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Example Configuration
To help you get started, here is an example configuration:
Color Style: Dark
Line Color (High and Low): Red
Line Style (High and Low): Dotted
Line Width (High and Low): 2
Midline Color (50%): Blue
Show Midline: Yes
Label Text Color: Gray
Label Font Size: Medium
Candle Color (First 6 Candles): Yellow
Default Candle Color (Remaining Candles): Semi-transparent Gray
Timeframe Minutes: 5
Analysis Start Time: 08:35
Analysis End Time: 09:05
These settings are optimized for a 5-minute XAUUSD chart during the 8:35 to 09:05 trading session, highlighting key price levels and providing clear visual signals for potential trades.
Conclusion
The New Rate - PRO indicator is tool that combines dynamic price level detection with extensive customization and real-time visual cues. By automatically identifying significant highs and lows, projecting trendlines, and signaling potential trade opportunities, it enhances your ability to navigate the markets effectively. Its adaptability through customizable settings ensures that it can be tailored to various trading styles and market conditions, making it a valuable addition to any trader's toolkit.
Multi-Asset Cross Timeframe Divergence Ind. (MACDI) // AlgoFyreThe Multi-Asset Cross Timeframe Divergence Indicator (MACDI) identifies divergences in momentum like RSI across multiple assets and timeframes. It visually highlights lagging correlated asset momentum divergences, helping traders spot inefficiencies and potential trade opportunities in the following asset.
🔶 KEY FEATURES
🔸Average Momentum Trendline for Each Timeframe
The Average Momentum Trendline feature calculates the average momentum of multiple assets over specified timeframes. It uses smoothed values to determine the momentum trend for each timeframe on the average aggregated momentum of both assets. This trendline helps traders identify the overall direction of the market momentum, providing a clearer picture of potential price movements.
🔸Real-time Divergence Indication and Alert Table
The Real-time Divergence Indications and Alert Table feature visualizes detected divergences between the momentum values of the two assets across different timeframes. It identifies both bullish and bearish divergences, signaling lagging reversals in the the following asset and potential trading opportunities. When a divergence is detected, the system generates real-time visual indications on the chart and in an overview table for traders to act promptly. The alert table provides a comprehensive overview of all detected divergences, making it easier for traders to monitor and respond to market changes.
🔸Color and Size Based Labels on Price Chart based on Divergence Type
The Color and Size Based Labels feature visually represents divergences directly on the price chart. Bullish and bearish divergences are marked with distinct colors and sizes, making them easily identifiable at a glance. Larger labels indicate higher timeframes and thus generally more significance.
🔶 INSTRUCTION GUIDELINES
🔸Identify Divergence Clusters
The more divergences align, the higher the probability of a potential trend reversal in the asset. When multiple multi-timeframe divergences occur in both lower and higher timeframes within a local cluster, the probability of a reversal increases. This is valid for both for bullish and bearish divergences.
🔸Spot Low Probability Divergences
To further increase the probability, analyze the current state of the average momentum trendline. For a bullish reversal, a relatively low level of the average momentum trendline is preferred, whereas for a bearish reversal, a relatively high level is preferred.
🔶 INDIVIDUAL CONFIGURATION
🔸Leading Asset
This input allows the user to select the leading asset for the divergence analysis.
🔸Following Asset
This input allows the user to select the following asset for the divergence analysis.
🔸Higher Timeframe
This input sets the higher timeframe for the analysis.
🔸Lower Timeframe
This input sets the lower timeframe for the analysis.
🔸Show RSI Divergence
This input enables or disables the display of RSI divergence signals.
🔸RSI Length
This input sets the length of the RSI calculation.
🔸RSI Source
This input sets the source data for the RSI calculation (e.g., close price).
🔸RSI Smoothing Length
This input sets the length of the smoothing applied to the RSI values.
🔸Smoothing Method
This input sets the method used for smoothing the RSI values.
🔶 CONCLUSION
The Multi-Asset Cross Timeframe Divergence Indicator (MACDI) is a powerful tool for identifying momentum divergences across multiple assets and timeframes. Its visual cues and customizable table make it easy to use and interpret, providing valuable insights for trading decisions.
Trend Following Parabolic Buy Sell Strategy [TradeDots]The Trend Following Parabolic Buy-Sell Strategy leverages the Parabolic SAR in combination with moving average crossovers to deliver buy and sell signals within a trend-following framework.
This strategy synthesizes proven methodologies sourced from various trading tutorials available on platforms such as YouTube and blogs, enabling traders to conduct robust backtesting on their selected trading pairs to assess the strategy's effectiveness.
HOW IT WORKS
This strategy employs four key indicators to orchestrate its trading signals:
1. Trend Alignment: It first assesses the relationship between the price and the predominant trendline to determine the directional stance—taking long positions only when the price trends above the moving average, signaling an upward market trajectory.
2. Momentum Confirmation: Subsequent to trend alignment, the strategy looks for moving average crossovers as a confirmation that the price is gaining momentum in the direction of the intended trades.
3. Signal Finalization: Finally, buy or sell signals are validated using the Parabolic SAR indicator. A long order is validated when the closing price is above the Parabolic SAR dots, and similarly, conditions are reversed for short orders.
4. Risk Management: The strategy institutes a fixed stop-loss at the moving average trendline and a take-profit level determinable by a prefixed risk-reward ratio calculated from the moving average trendline. These parameters are customizable by the users within the strategy settings.
APPLICATION
Designed for assets exhibiting pronounced directional momentum, this strategy aims to capitalize on clear trend movements conducive to achieving set take-profit targets.
As a lagging strategy that waits for multiple confirmatory signals, entry into trades might occasionally lag beyond optimal timing.
Furthermore, in periods of consolidation or sideways movement, the strategy may generate several false signals, suggesting the potential need for additional market condition filters to enhance signal accuracy during volatile phases.
DEFAULT SETUP
Commission: 0.01%
Initial Capital: $10,000
Equity per Trade: 70%
Users are advised to adjust and personalize this trading strategy to better match their individual trading preferences and style.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Trend Deviation strategy - BTC [IkkeOmar]Intro:
This is an example if anyone needs a push to get started with making strategies in pine script. This is an example on BTC, obviously it isn't a good strategy, and I wouldn't share my own good strategies because of alpha decay.
This strategy integrates several technical indicators to determine market trends and potential trade setups. These indicators include:
Directional Movement Index (DMI)
Bollinger Bands (BB)
Schaff Trend Cycle (STC)
Moving Average Convergence Divergence (MACD)
Momentum Indicator
Aroon Indicator
Supertrend Indicator
Relative Strength Index (RSI)
Exponential Moving Average (EMA)
Volume Weighted Average Price (VWAP)
It's crucial for you guys to understand the strengths and weaknesses of each indicator and identify synergies between them to improve the strategy's effectiveness.
Indicator Settings:
DMI (Directional Movement Index):
Length: This parameter determines the number of bars used in calculating the DMI. A higher length may provide smoother results but might lag behind the actual price action.
Bollinger Bands:
Length: This parameter specifies the number of bars used to calculate the moving average for the Bollinger Bands. A longer length results in a smoother average but might lag behind the price action.
Multiplier: The multiplier determines the width of the Bollinger Bands. It scales the standard deviation of the price data. A higher multiplier leads to wider bands, indicating increased volatility, while a lower multiplier results in narrower bands, suggesting decreased volatility.
Schaff Trend Cycle (STC):
Length: This parameter defines the length of the STC calculation. A longer length may result in smoother but slower-moving signals.
Fast Length: Specifies the length of the fast moving average component in the STC calculation.
Slow Length: Specifies the length of the slow moving average component in the STC calculation.
MACD (Moving Average Convergence Divergence):
Fast Length: Determines the number of bars used to calculate the fast EMA (Exponential Moving Average) in the MACD.
Slow Length: Specifies the number of bars used to calculate the slow EMA in the MACD.
Signal Length: Defines the number of bars used to calculate the signal line, which is typically an EMA of the MACD line.
Momentum Indicator:
Length: This parameter sets the number of bars over which momentum is calculated. A longer length may provide smoother momentum readings but might lag behind significant price changes.
Aroon Indicator:
Length: Specifies the number of bars over which the Aroon indicator calculates its values. A longer length may result in smoother Aroon readings but might lag behind significant market movements.
Supertrend Indicator:
Trendline Length: Determines the length of the period used in the Supertrend calculation. A longer length results in a smoother trendline but might lag behind recent price changes.
Trendline Factor: Specifies the multiplier used in calculating the trendline. It affects the sensitivity of the indicator to price changes.
RSI (Relative Strength Index):
Length: This parameter sets the number of bars over which RSI calculates its values. A longer length may result in smoother RSI readings but might lag behind significant price changes.
EMA (Exponential Moving Average):
Fast EMA: Specifies the number of bars used to calculate the fast EMA. A shorter period results in a more responsive EMA to recent price changes.
Slow EMA: Determines the number of bars used to calculate the slow EMA. A longer period results in a smoother EMA but might lag behind recent price changes.
VWAP (Volume Weighted Average Price):
Default settings are typically used for VWAP calculations, which consider the volume traded at each price level over a specific period. This indicator provides insights into the average price weighted by trading volume.
backtest range and rules:
You can specify the start date for backtesting purposes.
You can can select the desired trade direction: Long, Short, or Both.
Entry and Exit Conditions:
LONG:
DMI Cross Up: The Directional Movement Index (DMI) indicates a bullish trend when the positive directional movement (+DI) crosses above the negative directional movement (-DI).
Bollinger Bands (BB): The price is below the upper Bollinger Band, indicating a potential reversal from the upper band.
Momentum Indicator: Momentum is positive, suggesting increasing buying pressure.
MACD (Moving Average Convergence Divergence): The MACD line is above the signal line, indicating bullish momentum.
Supertrend Indicator: The Supertrend indicator signals an uptrend.
Schaff Trend Cycle (STC): The STC indicates a bullish trend.
Aroon Indicator: The Aroon indicator signals a bullish trend or crossover.
When all these conditions are met simultaneously, the strategy considers it a favorable opportunity to enter a long trade.
SHORT:
DMI Cross Down: The Directional Movement Index (DMI) indicates a bearish trend when the negative directional movement (-DI) crosses above the positive directional movement (+DI).
Bollinger Bands (BB): The price is above the lower Bollinger Band, suggesting a potential reversal from the lower band.
Momentum Indicator: Momentum is negative, indicating increasing selling pressure.
MACD (Moving Average Convergence Divergence): The MACD line is below the signal line, signaling bearish momentum.
Supertrend Indicator: The Supertrend indicator signals a downtrend.
Schaff Trend Cycle (STC): The STC indicates a bearish trend.
Aroon Indicator: The Aroon indicator signals a bearish trend or crossover.
When all these conditions align, the strategy considers it an opportune moment to enter a short trade.
Disclaimer:
THIS ISN'T AN OPTIMAL STRATEGY AT ALL! It was just an old project from when I started learning pine script!
The backtest doesn't promise the same results in the future, always do both in-sample and out-of-sample testing when backtesting a strategy. And make sure you forward test it as well before implementing it!
Furthermore this strategy uses both trend and mean-reversion systems, that is usually a no-go if you want to build robust trend systems .
Don't hesitate to comment if you have any questions or if you have some good notes for a beginner.
