Smart Money Setup 08 [TradingFinder] Binary Options Gold Scalper🔵 Introduction
In the Smart Money methodology, the market is understood as a structure driven by liquidity flow. This structure forms through the movement of large orders, the accumulation of liquidity, and the reactions that occur around key price zones. The logic of Smart Money is based on the idea that price movement is not random and usually evolves with the intention of collecting liquidity and creating price inefficiencies known as imbalances.
Within this framework, several important stages including the liquidity sweep, the formation of a point of interest, the appearance of an imbalance and the transition of market structure play major roles and collectively define the broader direction of price.
In many bullish scenarios, the market begins by sweeping sell side liquidity and targeting important lows in order to collect the liquidity resting below them. This liquidity collection often becomes the starting point for creating a point of interest which usually marks the area where Smart Money begins to enter the market.
After price moves away from this point, it breaks a structural high and forms a change of character. This shift marks a transition in the balance of power between buyers and sellers and is considered the first clear signal that the market structure is changing.
After the change of character, new institutional order flow often creates a strong and rapid movement that leaves behind an imbalance. This imbalance is one of the most important elements in Smart Money analysis because price tends to return to this area in order to complete structure and restore balance.
The return into the imbalance becomes meaningful when it occurs together with the liquidity sweep, the presence of a validated point of interest and a confirmed structural transition. These conditions frequently mark the beginning of powerful movements within the Smart Money cycle.
Understanding the sequence of liquidity, point of interest, imbalance, change of character and market structure builds the foundation of Smart Money analysis and provides a clear view of the true direction of institutional strength.
Bullish Setup :
Bearish Setup :
🔵 How to Use
To use this framework effectively, the trader must analyze the market through the principles of Smart Money and observe how liquidity drives price. A trade becomes valid only when several essential components appear together in a clear and consistent order.
These components include the liquidity sweep, the formation of a point of interest, the confirmation of a change of character, the transition of market structure and the return of price into an imbalance. The method is built on the understanding that the market first collects liquidity, then shifts order flow and finally provides an entry opportunity inside an inefficient area or inside a point of interest.
For this reason, the trader must follow the path of liquidity from the moment the sweep occurs, through the point of interest and the change of character and finally into the return of price toward the imbalance. When applied correctly, this approach creates entries that are more precise, more structural and more aligned with the real behavior of the market rather than with superficial signals.
🟣 Long Position
A bullish setup in Smart Money structure begins with a liquidity sweep on the sell side. The market first targets the areas where sell side liquidity is located and collects the stops and resting liquidity under previous lows. This collection is the condition that Smart Money requires to begin creating a new order flow. After this liquidity has been taken, a point of interest forms which is usually the last bearish candle or the effective demand zone that initiated the upward movement.
Price then moves away from the point of interest and breaks a structural high which creates a change of character. This event confirms that the market structure has moved from a bearish state to a bullish one and that buying pressure has taken control of the order flow. Following this shift, a strong upward movement often occurs and creates an imbalance between candles. This imbalance reflects the entrance of strong Smart Money orders and is seen as an important confirmation of bullish strength.
When price returns to this imbalance after the displacement, the market enters a phase where Smart Money aims to complete the corrective movement and continue the upward direction. The reaction inside the imbalance when combined with the liquidity sweep, the confirmed point of interest and the change of character completes the bullish setup and forms a structure that often leads to a continuation of the bullish trend.
🟣 Short Position
A bearish setup follows the same Smart Money logic but in the opposite direction. The market begins by collecting buy side liquidity and targets the highs where buy side liquidity and resting stops are located. This liquidity sweep on the buy side becomes the starting phase for Smart Money to initiate a downward order flow. After the liquidity is collected, a bearish point of interest forms which is usually the last bullish candle or the supply zone that created the initial drop.
Price then moves away from this point and breaks the first structural low. This creates a change of character to the downside which confirms that the market structure has transitioned from bullish to bearish and that selling pressure has gained control. After this shift, a strong downward displacement appears and leaves behind a bearish imbalance that clearly shows the dominance of sellers.
As price returns to this imbalance and corrects the inefficient movement, the bearish setup becomes complete as long as the market structure remains bearish. The combination of the buy side liquidity sweep, the bearish point of interest, the change of character, the imbalance and the corrective return creates the ideal structure that Smart Money uses to continue the downward movement and develop a reliable selling opportunity.
🔵 Settings
🟣 Logic Settings
Pivot Period : Defines how many bars are analyzed to identify swing highs and lows. Higher values detect larger, slower structures, while lower values respond to faster patterns. The default value of 5 offers a balanced sensitivity.
🟣 Alert Settings
Alert : Enables alerts for SMS08.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
The Smart Money approach demonstrates that price movement is not random or based on surface level patterns. Instead, it develops through a clear cycle of liquidity collection, structural transition and corrective movement toward key price zones. By recognizing events such as the liquidity sweep, the formation of the point of interest, the change of character and the return into the imbalance, the trader gains the ability to understand order flow more accurately and identify the true direction of market structure.
Both bullish and bearish setups show that the alignment of these elements creates a transparent view of institutional behavior and reveals the source of strong movements in the market. When the trader correctly identifies this sequence, entry points become more reliable and more aligned with liquidity flow. The combination of liquidity, structure and imbalance provides a consistent framework that removes guesswork and guides decisions through the real logic of the market.
波浪分析
VB Sigma Smart Momentum IndicatorVB Sigma Smart Momentum Indicator (VBSSMI)
The VBSSMI provides a consolidated decision-support framework that surfaces market participation, trend integrity, and liquidity conditions in a single visual environment. The tool integrates four analytical modules: MCDX Flow Mapping, Donchian Regime Layers, Banker Flow Modeling, and Chop Zone Trend Classification. Together, these components convert raw price movement into an actionable interpretation of who is in control, whether momentum is durable, and what phase the instrument is currently cycling through.
How to Use the Indicator (Practical Workflow)
1. Start with Institutional / Banker Flow (Pink/Red/Yellow/Green Candles)
This is the primary signal layer. It tells you when high-capacity participants are increasing, reducing, or reversing risk.
Yellow Candle — Entry Bias
Indicates a potential institutional initiation when their trend metric crosses above their accumulation threshold.
Operational signal: instrument enters “monitor for entry” state.
Green Candle — Accumulation State
Fund-trend > bullbearline.
Operational signal: trend integrity improving; pullbacks are generally buyable.
White Candle — Distribution / Cooling
Fund-trend weakening but not broken.
Operational signal: tighten stops; momentum deteriorating.
Red Candle — Exit / Trend Failure
Fund-trend < bullbearline.
Operational signal: momentum regime invalidated; avoid long risk.
Blue Candle — Weak Rebound
A temporary uptick within broader weakness.
Operational signal: do not mistake this for a durable reversal.
2. Validate alignment with Flow Chips (Retail / Trader / Institutional)
These three flow columns (MCDX layers) answer: who is actually participating?
Retailer Flow (Locked Chips – Green)
High values imply retail conviction, often late-cycle.
Good for confirming trend strength, not timing entries.
Trader Zone Flow (Float Chips – Yellow)
When this spikes, volatility and tactical positioning increase.
Signal: strong short-term engagement, supports breakout/trend continuation.
Institutional Flow (Profitable Chips – Red/Pink)
This is the “true north” of momentum.
Rising values = institutions controlling price discovery.
Signal: long setups have statistical tailwind.
The operational guidance is straightforward:
Institutional Flow > Trader Flow > Retail Flow
is the healthiest configuration for sustainable upside momentum.
3. Confirm Breakout / Breakdown Conditions with Donchian Regime Columns
The vertical Donchian stack illustrates trend regime in a time-compressed format.
Bright Blue/Cyan
Structure expanding upward (breakout cluster).
Dark Purple/Red
Structure breaking downward (breakdown cluster).
Mixed Columns
Transitional or indecisive conditions.
Interpret it as a “momentum backdrop”:
If Donchian columns and Banker Flow candles disagree, avoid entries.
4. Consult the Chop Zone Strip Before Committing Capital
The Chop Zone uses EMA angle to determine whether the market is trending or congested.
Greens/Blues → Trend phase (favorable environment for continuation trades).
Yellows/Oranges/Reds → High noise probability; expect false signals.
Operationally:
Never enter breakout setups during yellow/orange/red chop.
5. Final Decision Framework (Checklist)
A long setup typically requires:
Green or Yellow Banker Flow Candle
Institutional Flow rising
Donchian columns in bullish regime colors
Chop Zone in a trend color (not red/yellow/orange)
A short setup is the exact inverse.
Recommended Use Cases
Momentum trading
Swing position building
Institutional-flow confirmation
Trend-filtering before deploying breakout systems
Screening for strong/weak symbols in multi-asset rotation strategies
Auto 5-Wave Fixed Channel + Wave 5 Top / Wave 2-ABC BottomAuto 5-Wave Fixed Channel + Wave 5 Top / Wave 2-ABC Bottom
by Ron999
1. What this indicator does
This tool automatically hunts for bullish 5-wave impulse structures and then:
Labels the waves: W1, W2, W3, W4, W5
Draws a fixed “acceleration” channel based on the wave structure
Projects a Wave-5 target zone using a 1.618 extension
Marks the Wave-2 level as an ABC correction target
Triggers optional alerts when:
A new Wave-5 top completes
An ABC bottom forms back near the Wave-2 low
It’s designed as a mechanical, rule-based approximation of Elliott 5-wave impulses – built for traders who like the idea of wave structure but want something objective and programmable.
2. How the wave logic works
The script continuously scans for pivot highs and lows using a user-defined Pivot Length.
It only keeps the last 5 alternating pivots (high → low → high → low → high).
When those last 5 pivots form this pattern:
Pivot 1 → High (W1)
Pivot 2 → Low (W2)
Pivot 3 → High (W3)
Pivot 4 → Low (W4)
Pivot 5 → High (W5)
…the indicator treats this as a bullish 5-wave impulse.
When such a structure is detected, it “locks in” the wave prices and bars and draws the channels and labels.
Note: Pivots are only confirmed after Pivot Length bars, so swings are slightly delayed by design (standard pivot logic).
3. Channels & levels
Once a valid bullish 5-wave structure is found, the script builds three key pieces:
a) Base Acceleration Channel (Blue)
Anchored from Wave-2 low toward Wave-3 high.
This forms a rising acceleration channel that represents the impulse leg.
The channel extends to the right, so you can see how price interacts with it after W3–W5.
b) Wave-5 Target Line (Red, dashed)
Uses the height from Wave-2 low to Wave-3 high.
Projects a 1.618 extension of that height above Wave-3.
This line acts as a potential Wave-5 exhaustion zone (take-profit / reversal watch area).
c) Wave-2 / ABC Bottom Level (Green, dotted)
Horizontal line drawn at the Wave-2 low.
This acts as a retest / corrective target for the ABC correction after the impulse completes.
When price later revisits this area (within a tolerance), the script can mark it as a potential ABC bottom.
4. Labels & signals
If labels are enabled:
W1, W2, W3, W4, W5 are plotted directly on their corresponding pivot bars.
When an ABC-style retest is detected near the Wave-2 level, an “ABC” label is printed at that low.
Wave-5 Top Event
Triggered when a new valid bullish 5-wave structure is completed.
The last pivot high in the pattern is flagged as Wave-5.
ABC Bottom Event
After a Wave-5 impulse, the script watches for new low pivots.
If a new low forms within ABC Bottom Proximity (%) of the Wave-2 price, it is treated as an ABC bottom near Wave-2 and marked on the chart.
5. Inputs & customization
Show Fixed Channels
Toggle all channel drawing on/off.
Label Waves
Toggle plotting of W1–W5 and ABC labels.
Alerts: Wave-5 Top & ABC Bottom
Master switch for enabling the script’s alert conditions.
Pivot Length
Controls how “swingy” the detection is.
Smaller values → more frequent, smaller waves
Larger values → fewer, larger structural waves
ABC Bottom Proximity (%)
Allowed percentage distance between the ABC low and the Wave-2 price.
Example: 5% means any ABC low within ±5% of Wave-2 is considered valid.
6. Alerts (how to use them)
The script exposes two alertcondition() events:
Wave-5 Top (Bullish Impulse)
Fires when a new 5-wave bullish structure completes.
Use this to watch for potential exhaustion tops or to tighten stops.
ABC Bottom near Wave-2 Low
Fires when an ABC-style correction prints a low near the Wave-2 level.
Use this to stalk potential end-of-correction entries in the direction of the original impulse.
On TradingView, add an alert to the script and choose the desired condition from the dropdown.
7. How to use it in your trading
This tool is best used as a structural context layer, not a standalone system:
Identify bullish impulsive trends when a Wave-5 structure completes.
Use the Wave-5 target line as a potential area for:
Scaling out
Watching for exhaustion / divergences / reversal patterns
Use the Wave-2/ABC level and ABC Bottom signal:
To look for end of correction entries back in the trend direction
To align with your own confluence (support/resistance, volume, RSI, etc.)
It works well on crypto, FX, indices, and stocks, especially on higher timeframes where structure is cleaner.
8. Limitations & notes
This is a mechanical approximation of Elliott 5-wave theory — it will not match every analyst’s discretionary count.
Pivots are confirmed after Pivot Length bars, so signals are not instant; they’re based on completed swings.
The indicator currently focuses on bullish impulses (upward 5-wave structures).
As always, this is not financial advice. Combine it with your own strategy, risk management, and confirmation tools.
Created & coded by: Ron999
Built for traders who want wave structure + fixed channels, without the subjective Elliott argument on every chart. files.catbox.moe
VB-MainLiteVB-MainLite – v1.0 Initial Release
Overview
VB-MainLite is a consolidated market-structure and execution framework designed to streamline decision-making into a single chart-level view. The script combines multi-timeframe trend, volatility, volume, and liquidity signals into one cohesive visual layer, reducing indicator clutter while preserving depth of information for active traders.
Core Architecture
Trend Backbone – EMA 200
Dedicated EMA 200 acts as the primary trend filter and higher-timeframe bias reference.
Serves as the “spine” of the system for contextualizing all secondary signals (swings, reversals, volume events, etc.).
Custom MA Suite (Envelope Ready)
Four configurable moving averages with flexible source, length, and smoothing.
Default configuration (preset idea: “8/89 Envelope”):
MA #1: EMA 8 on high
MA #2: EMA 8 on low
MA #3: EMA 89 on high
MA #4: EMA 89 on low
All four are disabled by default to keep the chart minimal. Users can toggle them on from the Custom MAs group for envelope or cloud-style configurations.
Nadaraya–Watson Smoother (Swing Framework)
Gaussian-kernel Nadaraya–Watson regression applied to price (hl2) to build a smooth synthetic curve.
Two layers of functionality:
Swing labels (▲ / ▼) at inflection points in the smoothed curve.
Optional curve line that visually tracks the turning structure over the last ~500 bars.
Designed to surface early swing potential before standard MAs react.
Hull Moving Average (Trend Overlay)
Optional Hull MA (HMA) for faster trend visualization.
Color-coded by slope (buy/sell bias).
Default: off to prevent overloading the chart; can be enabled under Hull MA settings.
Momentum, Exhaustion & Pattern Engine
CCI-Based Bar Coloring
CCI applied to close with configurable thresholds.
Overbought / oversold CCI zones map directly into candle coloring to visually highlight short-term momentum extremes.
RSI Top / Bottom Exhaustion Finder
RSI logic applied separately to high-driven (tops) and low-driven (bottoms) sequences.
Plots:
Top arrows where high-side RSI stretches into high-risk territory.
Bottom arrows where low-side RSI indicates exhaustion on the downside.
Useful as confluence around the Nadaraya swing turns and EMA 200 regime.
Engulfing + MA Trend Engine (“Fat Bull / Fat Bear”)
Detects bullish and bearish engulfing patterns, then combines them with MA trend cross logic.
Only when both pattern and MA regime align does the engine flag:
Fat Bull (Engulf + MA aligned long)
Fat Bear (Engulf + MA aligned short)
Candles are marked via conditional barcolor to highlight strong, structured shifts in control.
Fat Finger Detection (Wick Spikes / Stop Runs)
Identifies abnormal wick extensions relative to the prior bar’s body range with configurable tolerance.
Supports detection of potential liquidity grabs, stop runs, or “excess” that may precede reversals or mean-reversion behavior.
Volume & Liquidity Intelligence
Bull Snort (Aggressive Buy Spikes)
Flags events where:
Volume is significantly above the 50-period average, and
Price closes in the upper portion of the bar and above prior close.
Plots a labeled marker below the bar to indicate aggressive upside initiative by buyers.
Pocket Pivots (Accumulation Flags)
Compares current volume vs prior 10 sessions with a filter on prior “up” days.
Highlights pocket pivot days where current green candle volume outclasses recent down-day volumes, suggesting stealth accumulation.
Delta Volume Core (Directional Volume by Price)
Internal volume-by-price style engine over a user-defined lookback.
Splits volume into up-close and down-close buckets across dynamic price bins.
Feeds into S&R and ICT zone logic to quantify where buying vs selling pressure built up.
Structural Context: S&R and ICT Zones
S&R Power Channel
Computes local high/low band over a configurable lookback window.
Renders:
Upper and lower S&R channel lines.
Shaded support / resistance zones using boxes.
Adds Buy Power / Sell Power metrics based on the ratio of up vs down bars inside the window, displayed directly in the zone overlays.
Drops ◈ markers where price interacts dynamically with the top or bottom band, highlighting reaction points.
ICT-Style Premium / Discount & Macro Zones
Two tiered structures:
Local Premium / Discount zones over a shorter SR window.
Macro Premium / Discount zones over a longer macro window.
Each zone:
Uses underlying directional volume to annotate accumulation vs distribution bias.
Provides Delta Volume Bias shading in the mid-band region, visually encoding whether local power flows are net-buying or net-selling.
Enables traders to quickly see whether current trade location is in a local/macro discount or premium context while still respecting volume profile.
Positioning Intelligence: PCD (Stocks)
Position Cost Distribution (PCD) – Stocks Only
Available for stock symbols on intraday up to daily timeframe (≤ 1D).
Uses:
TOTAL_SHARES_OUTSTANDING fundamentals,
Daily OHLCV snapshot, and
A bucketed distribution engine
to approximate cost basis distribution across price.
Outputs:
Horizontal “PCD bars” to the right of current price, density-scaled by estimated share concentration.
Color-coding by profitability relative to current price (profitable vs unprofitable positions).
Labels for:
Current price
Average cost
Profit ratio (share % below current price)
90% cost range
70% cost range
Range overlap as a measure of clustering / concentration.
Multi-Timeframe Trend: Two-Pole Gaussian Dashboard
Two-Pole Gaussian Filter (Line + Cloud)
Smooths a user-selected source (default: close) using a two-pole Gaussian filter with tunable alpha.
Plots:
A thin Gaussian trend line, and
A thick Gaussian “cloud” line with transparency, colored by slope vs past (offsetG).
Functions as a responsive trend backbone that is more sensitive than EMA 200 but less noisy than raw price.
Multi-Timeframe Gaussian Dashboard
Evaluates Gaussian trend direction across up to six timeframes (e.g., 1H / 2H / 4H / Daily / Weekly).
Renders a compact bottom-right table:
Header: symbol + overall bias arrow (up / down) based on average trend alignment.
Row of colored cells per timeframe (green for uptrend, magenta for downtrend) with human-readable TF labels (e.g., “60M”, “4H”, “1D”).
Gives an immediate read on whether intraday, swing, and higher-timeframe flows are aligned or fragmented.
Default Configuration & Usage Guidance
Default state after adding the script:
Enabled by default:
EMA 200 trend backbone
Nadaraya–Watson swing labels and curve
CCI bar coloring
RSI top/bottom arrows
Fat Bull / Fat Bear engine
Bull Snort & Pocket Pivots
S&R Power Channel
ICT Local + Macro zones
Two-pole Gaussian line + cloud + dashboard
PCD engine for stocks (auto-active where data is available)
Disabled by default (opt-in):
Custom MA suite (4x MAs, preset as EMA 8/8/89/89)
Hull MA overlay
How traders can use VB-MainLite in practice:
Use EMA 200 + Gaussian dashboard to define top-down directional bias and avoid trading directly against multi-TF trend.
Use Nadaraya swing labels, RSI exhaustion arrows, and CCI bar colors to time entries within that higher-timeframe bias.
Use Fat Bull / Fat Bear events as structured confirmation that both pattern and MA regime have flipped in the same direction.
Use Bull Snort, Pocket Pivots, and S&R / ICT zones to align execution with liquidity, volume, and location (premium vs discount).
On stocks, use PCD as a positioning map to understand trapped supply, support zones near crowded cost basis, and where profit-taking is likely.
Elliott Wave Full Fractal System CleanElliott Wave: Full Fractal System (Automated)
This script is a complete Fractal Trading System that automates Elliott Wave analysis. It moves beyond simple wave counting by combining multi-degree wave detection (Primary, Intermediate, Minor) with an automated "Sniper" entry strategy based on high-probability Wave 4 pullbacks.
1. Idea of the Script This tool acts as an educational Elliott Wave assistant that automatically:
Detects Swings: Uses a pivot engine (ZigZag-like logic) to identify key market structure.
Identifies Impulses: Scans for valid 1–5 motive waves across multiple timeframes.
Visualizes Corrections: Detects and labels A-B-C corrective phases after an impulse.
Executes Strategy: Adds a strategy layer on the Intermediate degree to backtest optimal entry zones.
2. How it Works: The "Fractal Sniper" Strategy The script applies strict algorithmic logic to Elliott Wave Theory. It analyzes the Intermediate (Green) degree to generate signals:
Step 1: The Setup (Wave 3 Identification) The script scans for a valid Wave 3 impulse. It ensures Wave 3 is not the shortest and the structure respects fractal rules.
Step 2: The "Wait" Phase (Target Zone) Once Wave 3 is confirmed, the script projects a Box (Green for Long, Red for Short). You will see a label: WAIT FOR DIP. Logic: We wait for price to retrace to the 50% Fibonacci level (The Golden Zone). We do not chase the top of Wave 3.
Step 3: The Trigger ("Sniper" Entry) A trade is triggered only when price touches the specific entry zone while maintaining structure. Signal: Sniper Long 🚀 or Sniper Short 🔻.
Step 4: Automated Risk Management
Stop Loss (SL): Placed at the extremum of Wave 1 (Theory: Wave 4 cannot overlap Wave 1).
Take Profit (TP): Placed at the 1.618 Fibonacci Extension of Wave 5.
3. 📊 Visual Legend (Fractal Degrees) The script analyzes three timeframes simultaneously. Use this guide to read the chart:
🔵 Blue (Primary Degree): Macro Trend. Marked with Circles (①, ②...). Use this for overall market bias.
🟢 Green (Intermediate Degree): The Trading Layer. Marked with Parentheses ((1), (2)...). All Strategy Signals are generated from this degree.
🔴 Red (Minor Degree): Micro Structure. Marked with Roman Numerals (i, ii...). Useful for seeing the sub-waves inside larger moves.
4. 📉 A-B-C Corrections (Visual Only) The script automatically detects and labels corrective phases (A, B, C) following a 5-wave impulse.
Function: These labels indicate that the trend is correcting or resting.
Note: The "Strategy" (Buy/Sell logic) ignores these A-B-C labels. It sees the correction and draws it for your awareness, but it does not risk money on counter-trend moves.
5. ⚠️ CRITICAL NOTE ON BACKTESTING & LAG This strategy uses ta.pivothigh and ta.pivotlow to identify wave structures.
The Lag: Pivot points are lagging indicators. A pivot is only mathematically confirmed X bars after the peak or valley has occurred.
The Backtest: While the labels are drawn historically on the correct bars, the strategy logic strictly waits for the pivot confirmation before generating a signal. This prevents "repainting" in live trading, but users must understand that the signal occurs after the pivot is locked in.
6. Settings Included
Degrees: Customizable lookback lengths for Primary, Intermediate, and Minor waves.
Strict Rules: Toggle to enforce standard Elliott rules (e.g., No Overlap).
Realistic Simulation: Commission and slippage are enabled in the strategy settings to provide realistic results.
Disclaimer: This script is for educational and research purposes only. It applies strict algorithmic logic to Elliott Wave Theory, but wave counting is inherently subjective. Past performance does not guarantee future results.
OBV + WaveTrend Volume Scalper [GratefulFutures]This script is a combination script of three different strategies that provides buy and sell signals based on the change of volume with momentum confirmations.
Sources used:
This script relies on the outstanding scripts of the great script writer LazyBear: LazyBear
The following scripts were used in this publication:
1. A modified "On-Balance Volume Oscillator" modified from LazyBear's original script:
2. Wavetrend Oscillator with crosses, Author: LazyBear
3. Squeeze Momentum Oscillator, Author: LazyBear
This script functions based on the following criteria being true:
1. On balance volume oscillator turning from negative to positive (buy) or positive to negative (sell)
2. Squeeze Momentum value is increasing (buy) or decreasing (sell)
3. Wavetrend 1 (wt1) is greater than wavetrend 2 (wt2) (buy)/ Wavetrend 1 (wt1) is less than wavetrend 2 (wt2) (sell)
By combining these factors the indicator is able to signal exactly when net buying turns to net selling (OBV) and when this change is most advantageous to continue based on the momentum and price action of the underlying asset (SQMOMO and Wavetrend).
This allows you to pair volume and price action for a powerful tool to identify where price will reverse or continue providing exceptional entries for short term trades, especially when combined with other aspects such as support and resistance, or volume profile.
How to use:
Simply adjust the settings to your preference and read the given signals as generated.
Settings
There are multiple ways to tune the signals generated. It is set standard for my preferred use on a 1 minute chart.
OBV Oscillator Settings
The first 4 dropdowns in the Inputs section tune the On Balance Volume Oscillator (OBVO) portion of the indicator. You can choose if you want it to calculate based on close, open, high, low, or other value.
The most impactful in the entire settings is going to be the length and smoothing of the OBVO EMA. Making this number lower increasing the sensitivity to changes in volume, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (5-20) is reasonable for the OBVO EMA length. There is a separate smoothing factor titled OBV Smoothing Length and below that, OBV Smoothing Type , a value of (2) is standard with "SMA" for smoothing type with a value of between 2-10 being reasonable. You may also play with these values to see what you like for your trading style.
Wavetrend Settings
The next 3 options are to modify the wavetrend portion of the indicator. I do not modify these from standard, and feel that they work appropriately on all time frames at the following values: n1 length (10), n2 length (20), Wavetrend Signal SMA length (4)
Squeeze Momentum Settings
The following 5 options through the end modify the Squeeze momentum portion of the indicator. The only one that modifies the signals generated is the KC Length , Making this number lower increasing the sensitivity to changes in price action, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (18-25) is reasonable for KC Length .
Style Setting
You may select if you want to see the buy and sell signals. The following 5 options Raw OBV Osc through Squeeze Momentum allow you to see where each specific requirement was met, posted as a vertical line, but for live use it is recommended to turn all of these vertical lines off and only use the buy and sell signals.
Time Frames:
While this script is most effective on shorter time frames (1 minute for scalping and daytrading) it is also viable to use it on longer timeframes, due to the nature of its components being independent of time frame.
Examples of use - (Green and red vertical lines are for visualization purpose and are not part of the script)
SPY 1 Minute (Factory Settings):
SPX 15 minutes (Factory Settings):
Considerations
This script is meant primarily for short term trading, trades on the basis of seconds to minutes primarily. While they can be a good indication of volume lining up with momentum, it is always wise to use them in combination with other factors such as support, resistance, market structure, volume levels, or the many other techniques out there...
As Always... Happy Trading.
-Not_A_Mad_Scientist (GreatfulFutures Trade University)
Vdubus Divergence Wave Pattern Generator V1The Vdubus Divergence Wave Theory
10 years in the making & now finally thanks to AI I have attempted to put my Trading strategy & logic into a visual representation of how I analyse and project market using Core price action & MacD. Enjoy :)
A Proprietary Structural & Momentum Confluence SystemPart 1: The Strategic Concept1. The Core Philosophy: "Geometry + Physics"Traditional technical analysis often fails because traders confuse location with timing.Geometry (Price Patterns): Tells us WHERE the market is likely to reverse (e.g., at a resistance level or harmonic D-point).Physics (Momentum): Tells us WHEN the energy driving the trend has actually shifted. The Vdubus Theory posits that a trade should never be taken based on Geometry alone. A valid signal requires a specific, fractal decay in momentum—a "Handshake" between price structure and energy exhaustion.2. The 3-Wave Momentum Filter (The Engine)Most traders look for simple divergence (2 points). The Vdubus Theory demands a 3-Wave Structure to confirm the true state of the market.A. The Standard Reversal (Exhaustion)This is the "Safe" entry, catching the slow death of a trend.Wave 1 $\rightarrow$ 2 (The Warning): Price pushes higher, but momentum is lower (Standard Divergence). This signals that the trend is tapping the brakes.Wave 2 $\rightarrow$ 3 (The Confirmation): Price pushes to a final extreme (often a stop-hunt), but momentum is flat or lower than Wave 2 ("No Divergence").The Logic: This confirms that the buyers have expended all remaining energy. The engine is dead.
B. The Climax Reversal (The Trap)This is the "Aggressive" entry, catching V-shape reversals.Wave 1 $\rightarrow$ 2 (The Bait): Price pushes higher, and momentum is Stronger/Higher (No Divergence). This sucks in retail traders who believe the trend is accelerating.Wave 2 $\rightarrow$ 3 (The Snap): Price pushes again, but momentum suddenly collapses (Divergence).The Logic: A "Strong to Weak" shift. The market traps traders with a show of strength before hitting a "concrete wall" of limit orders.C. The Predator (The Trend Continuation)The Logic: Trends rarely move in straight lines. The "Predator" looks for Hidden Divergence during a pullback.The Signal: Price makes a Higher Low (Trend Structure Intact), but Momentum makes a Lower Low (Oversold Trap). This signals the end of the correction and the resumption of the main trend.3. The "Clean Path" PrincipleA trade is only valid if there is no opposing force. If you are looking to Sell (Bearish Reversal), the opposing Bullish momentum must be weak or neutral. If the "Enemy" is strong, the trade is skipped.
Part 2: The Indicator Breakdown
Tool Name: Vdubus Divergence Wave Pattern Generator V1
This script automates your analysis by combining ZigZag Pattern Recognition (Geometry) with your Custom MACD Logic (Physics).
1. The "Golden" Settings
The physics engine is tuned to your specific discovery:
Fast Length: 8
Slow Length: 21
Signal Length: 5
Lookback: 3 (Sensitive enough to catch the exact pivot points).
2. Signal Generation Logic
The indicator scans for four distinct setups. Here is the exact logic code translated into English:
Signal 1: Standard Reversal (Green/Red Pattern)
Geometry: The ZigZag algorithm identifies a 5-point structure (X-A-B-C-D), such as a Gartley, Bat, or Butterfly.
Physics Check:
Finds the last 3 momentum peaks matching the price highs.
Rule: Momentum Peak 2 must be < Peak 1 (Divergence).
Rule: Momentum Peak 3 must be <= Peak 2 (Confirmation/No Div).
Output: Draws the colored pattern and labels it (e.g., "Bearish Gartley (Exhaustion)").
Signal 2: Climax Reversal (Orange Pattern)
Geometry: Identifies the same 5-point structures.
Physics Check:
Rule: Momentum Peak 2 is >= Peak 1 (Strength/No Div).
Rule: Momentum Peak 3 is < Peak 2 (Sudden Failure/Div).
Output: Draws the pattern in Orange labeled "⚠️ CLIMAX REVERSAL". This is your "Trap" detector.
Signal 3: Rounded Top/Bottom (Navy/Maroon Label)
Geometry: Price is compressing or rounding over.
Physics Check:
Scans for 4 consecutive waves of momentum decay.
Rule: Peak 1 > Peak 2 > Peak 3 > Peak 4.
Output: Places a label indicating a "Multi-Wave Decay," identifying turns that don't have sharp pivots.
Signal 4: The Predator (Purple Pattern)
Geometry: Identifies a trend pullback (Higher Low for Buys).
Physics Check:
Rule: Momentum makes a Lower Low while Price makes a Higher Low (Hidden Divergence).
Output: Draws a Purple pattern labeled "🦖 PREDATOR" to signal trend continuation.
3. The Confluence Dashboard
Located in the corner of the screen, this provides a final "Safety Check."
Logic: It compares the absolute value (strength) of the most recent Bearish Momentum Peak vs. the most recent Bullish Momentum Low.
Output:
Green (Bulls Strong): Buying pressure is dominant. Safe to Buy, Dangerous to Sell.
Red (Bears Strong): Selling pressure is dominant. Safe to Sell, Dangerous to Buy.
Grey (Neutral): Forces are balanced.
Summary of Potential
This system solves the "Trader's Dilemma" of entering too early or too late. By waiting for the 3rd Wave, you effectively filter out the market noise and only commit capital when the opposing side has structurally and physically collapsed. It transforms trading from a guessing game into a disciplined execution of identifying Geometric Exhaustion.
Logic 1 / PREVIOUS DIVERGENCE PROJECTS future TREND BREAKS / Reversals *Not in script*
Logic 2 / Wave 1 to 2 = Divergence / Wave 2 to 3 = NO divergence = Signal
Reverse logic: Wave 1 to 2 = NO Divergence / Wave 2 to 3 = Divergence = Signal
Cumulative Volume Delta with MACVD Candles with moving average of your choice of Hull, wma, EMA and SMA and choose your length. Not perfect so feel free to change it.
Moving average changes color with moving average positive or negative.
For entertainment purposes only.
Elliott Wave — HYBRID BEAST MODE⭐ Elliott Wave — HYBRID BEAST MODE
Description (Copy/Paste for Publishing)
Elliott Wave — HYBRID BEAST MODE is an advanced, automated Elliott Wave detection engine that blends classical wave theory with modern algorithmic logic. This tool identifies impulsive waves, corrective structures, wave-strength conditions, and volume-enhanced Wave 3 confirmations — all while automatically adapting to any timeframe.
This script uses a hybrid approach:
• Elliott Oscillator (5/35 MA difference)
• Pivot-based wave structure detection
• Automated wave spacing (dynamic by timeframe)
• Fibonacci projection mapping
• Wave channels & structure geometry
• Dashboard for quick-read market conditions
• Automatic alerts for Wave 3, Wave 5, and corrective waves
Key Features
✔ Auto Wave Detection using pivot geometry and spacing logic
✔ Elliott Oscillator histogram for momentum confirmation
✔ Wave Labels (1–5, A–B–C) with intelligent spacing
✔ Adaptive Timeframe System that recalculates wave spacing automatically
✔ Wave 3 Strength Logic using your custom volume multiplier
✔ Fibonacci Levels for projection and confirmation
✔ Wave Channels for structure alignment
✔ Built-In Alerts for key high-probability moments
✔ Designed for 4H / Daily, but optimized for all timeframes
Use Cases
• Identifying impulsive wave cycles
• Confirming corrections & retracements
• Determining trend exhaustion
• Timing Wave 3 and Wave 5 extensions
• Integrating wave theory with oscillator momentum
This is a full Elliott Wave toolbox packed into one script — ideal for traders who want automatic structure detection without the subjectivity of manual wave counting.
Zonas de Liquidez Pro + Puntos de GiroAnalysis of Your BTC/USDT 4H Chart
Here’s the breakdown of the liquidity zones shown on your chart and what each element means:
🔴 Resistance Zones (Red Lines)
R 126199.43 – Upper dotted line
Level: ~$126,199
Strength: = Moderate zone
Touch count: 1 touch | 1 rejection
Meaning: Weak resistance, price has only reacted here once.
Dotted line = few historical rejections.
R 111263.81 – Thick solid red line
Level: ~$111,263
Strength: = Strong zone
Touch count: 3 touches | 2 rejections
Meaning: Major resistance level, strongly defended multiple times.
Solid, thicker line = very respected zone.
R 111250.01 – Solid red line (high strength)
Level: ~$111,250
Strength: = Extremely strong
Touch count: 5 touches | 4 rejections
Meaning: This is a critical zone, heavy liquidity stacked here.
Score 19 = institutional-grade liquidity zone.
R 107508.00 – Lower dotted line
Level: ~$107,508
Strength: = Strong zone
Touch count: 4 touches | 1 rejection
Meaning: Previously acting as resistance, now above current price.
💧 “LIQ” Markers – Liquidity Grabs
The yellow LIQ tags signal liquidity grabs.
Pattern detected:
Price taps the strong resistance around $111,263
Wicks above → triggers stop-losses
Closes back below → fake breakout
High volume → institutional stop-hunting
This led directly to the strong downside move.
🎯 Current Price Context
Current price: ~$91,533
Price is below all major resistance zones
Market structure is bearish
Price is far from major liquidity areas
📉 What Happened
The 111k resistance cluster acted as a massive ceiling
Multiple failed breakouts = institutional selling
Liquidity grabs at the top → trap for late buyers
Price then dumped from $111k to $91k (≈ -18%)
🎲 Probable Scenarios
Bullish Scenario 📈
If price returns to the $107,508 zone → first resistance test
Break with volume → target $111,250
Needs a confirmed close above to validate a breakout
Bearish Scenario 📉
If demand remains weak → continuation lower
Watch for new demand zones forming below price
Rejection from $107k–$111k would confirm bearish continuation
🔍 Key Signals to Watch
Bullish:
Price revisits resistance zone
Liquidity grab below support (fake breakdown)
Strong close back above with volume
Bearish:
New lows below $91k
Volume increasing on down moves
New resistance forming overhead
💡 Trading Approach
If you're a buyer (long bias):
Wait for price to pull into a strong demand zone
Look for bullish rejection + volume
Stop-loss below the zone
If you're a seller (short bias):
Ideal entry already happened at 111k (liquidity trap)
Look for a pullback into $107k–$111k
Watch for bearish rejection signs
Conservative Approach
Don’t trade in the middle of nowhere
Wait for price to reach a liquidity zone
Liquidity zones act as magnets → safest places to form trades
🎓 Key Takeaways
High-score zones like are extremely difficult to break → respect them
Liquidity grabs signaled the reversal perfectly
Strong rejections at 111k = smart money unloading
Thicker solid lines = more reliable levels
BPR (Ballanced price range) DetectorHow This BPR Detector Works
This indicator is designed to detect and visualize balanced price ranges (BPRs) on price charts. The indicator has two main components:
Regular FVG Detection - The indicator first detects regular Fair Value Gaps in price action, which are spaces where price has moved quickly leaving a gap. This is necessary because BPRs are derived from regular FVGs.
BPR Detection - When the price action inverts and moves through a regular FVG in the opposite direction, the indicator identifies this as a BPR. This concept is important in Inner Circle Trader (ICT) methodology as it can signal potential changes in trend direction. Additionally the detection logic is refined by incorporating displacement.
The main functionality preserved includes:
Detection of regular FVGs (required to find BPRs)
Conversion of regular FVGs to BPRs when price moves through them creating a FVG in the opposite direction
Visual display of both FVG and BPR zones
Mitigation tracking for both types of imbalances
Displacement visualization that helps identify energetic price moves
Key Settings
FVG Settings - Control the appearance and behaviour of regular Fair Value Gaps
BPR Settings - Control the appearance of Breaker Price Ranges (which have different colours by default)
Mitigation Settings - Define how the indicator determines when an imbalance has been filled
Displacement Settings - Optional highlighting of energetic price moves that may lead to imbalances
Retracement Strategy [OmegaTools]Retracement Strategy is a systematic trend–retracement framework designed to identify directional opportunities after a confirmed momentum shift, and to manage exits using either trend reversals or overextension conditions. It is built around a smoothed RSI regime filter and a simple, price-based retracement trigger, making it applicable across a wide range of markets and timeframes while remaining transparent and easy to interpret.
The strategy begins by defining the underlying trend through a two-stage RSI signal. A standard RSI is computed over the user-defined Length input, then smoothed with a short moving average to reduce noise. Two symmetric thresholds are derived from the Threshold parameter: an upper band at 100 minus the threshold and a lower band at the threshold itself. When the smoothed RSI crosses above the upper band, the environment is classified as bullish and the internal trend state is set to uptrend. When the smoothed RSI crosses below the lower band, the environment is classified as bearish and the trend state becomes downtrend. When RSI moves back into the central zone between the two bands, the trend is considered neutral. In addition to the current trend, the strategy tracks the last non-neutral trend direction, which is used to detect genuine trend changes rather than transient oscillations.
Once a trend is established, the strategy looks for retracement entries in the direction of that trend. For long setups in an uptrend, it computes the lowest low over the previous Length minus one bars, excluding the current bar. A long signal is generated when price dips below this recent low while the trend state remains bullish. Symmetrically, for short setups in a downtrend, it computes the highest high over the previous Length minus one bars and enters short when price spikes above this recent high while the trend state remains bearish. This logic is designed to capture pullbacks against the prevailing RSI-defined trend, entering when the market tests or slightly violates recent extremes, rather than chasing breakouts. The candles are visually coloured to reflect the detected trend, highlighting bullish and bearish environments while keeping neutral phases distinguishable on the chart. An ATR-based measure is used solely to position the “UP” and “DN” labels on the chart for clearer visualisation of entry points; it does not directly influence position sizing or stop calculation in this implementation.
Take profit and stop loss behaviour are fully parameterized through the “Take Profit” and “Stop Loss” inputs, each offering three modes: None, Trend Change and Extension. When “Trend Change” is selected for the take profit, the strategy will only exit profitable positions when a confirmed trend reversal occurs. For a long position, this means that the strategy will close the trade when the trend state flips from uptrend to downtrend, and the last recorded trend direction validates that this is a genuine reversal rather than a neutral fluctuation; the same logic applies symmetrically for short positions. When “Extension” is selected as the take profit mode, the strategy closes profitable long trades when the smoothed RSI reaches or exceeds the upper threshold, interpreted as an overbought extension within the bullish regime, and closes profitable short trades when the smoothed RSI falls to or below the lower threshold, interpreted as an oversold extension within the bearish regime. When “None” is chosen, the strategy does not apply any explicit take profit logic, leaving trades to be managed by the stop loss settings or by user discretion in backtesting.
The stop loss parameter works in a parallel way. With “Trend Change” selected as stop loss, any open long position is closed when the trend flips from uptrend to downtrend, regardless of whether the trade is currently in profit or loss, and any open short is closed when the trend flips from downtrend to uptrend. This turns the RSI trend regime into a hard invalidation rule: once the underlying momentum structure reverses, the position is exited. With “Extension” selected for stop loss, long positions are closed when RSI falls back below the upper band and moves towards the opposite side of the range, while short positions are closed when RSI rises above the lower band and moves towards the upper side. In practice, this acts as a dynamic exit based on the oscillator moving out of a favourable context for the existing trade. Selecting “None” for stop loss disables these automatic exits, leaving only the take profit logic, if any, to manage the position. Because take profit and stop loss configuration are independent, the user can construct different profiles, such as pure trend-change exits on both sides, pure overextension exits, or a mix (for example, take profit on overextension and stop loss on trend reversal).
This strategy is designed as an analytical and backtesting framework rather than a finished plug-and-play trading system. It does not include position sizing, risk-per-trade controls, multi-timeframe confirmation, volatility filters or instrument-specific fine-tuning. Its primary purpose is to provide a clear, rule-based structure for testing retracement logic within RSI-defined trends, and to allow users to explore how different exit regimes (trend-change based versus extension based) affect performance on their instruments and timeframes of interest.
Nothing in this script or its description should be interpreted as financial advice, investment recommendation or solicitation to buy or sell any financial instrument. Past performance on backtests does not guarantee future results. The behaviour of this strategy can vary significantly across symbols, timeframes and market conditions, and correlations, volatility and liquidity can change without warning. Before considering any live application, users should thoroughly backtest and forward test the strategy on their own data, adjust parameters to their risk profile and instrument characteristics, and integrate proper money management and trade management rules. Use of this script is entirely at the user’s own risk.
Hybrid Flow Master📊 Hybrid Flow Master - Professional Trading Indicator
Overview
Hybrid Flow Master is an advanced all-in-one trading indicator that combines Smart Money Concepts, institutional order flow analysis, and multi-timeframe confluence scoring to identify high-probability trade setups. Designed for both scalpers and swing traders across all markets (Forex, Crypto, Stocks, Indices).
🎯 Key Features
1. Intelligent Confluence System (0-100% Scoring) Proprietary scoring algorithm that weighs multiple factors Only signals when minimum confidence threshold is met
Real-time probability calculations for each setup Signal quality grading: A+, A, B, C ratings
2. Smart Money Concepts (SMC)
Automatic Order Block detection (bullish/bearish) Fair Value Gap (FVG) identification
Market structure analysis (Higher Highs, Lower Lows) Swing high/low tracking with visual markers
3. Multi-Timeframe Analysis
Higher timeframe trend filter for confluence Customizable HTF periods (1H, 4H, Daily, etc.)
Prevents counter-trend trades Aligns entries with major trends
4. Volume Flow Analysis
Volume spike detection with customizable thresholds Volume delta calculations (buying vs selling pressure) Institutional footprint identification Background highlighting for high-volume bars
5. Advanced Risk Management
ATR-based stop loss calculation Automatic take profit levels Customizable risk/reward ratios (1:1, 1:2, 1:3+) Visual SL/TP lines on chart Position sizing guidance
6. Professional Dashboard
Real-time HUD displaying:
Market bias (Bullish/Bearish/Neutral)
Higher timeframe trend status
Current confluence percentage
Volume status (Normal/High)
RSI reading with color coding
ATR volatility measure
Signal quality grade
7. Smart Alert System
Bullish confluence signals
Bearish confluence signals
Volume spike notifications
Customizable alert messages
Works with mobile app notifications
📈 What Makes It Unique?
✅ No Repainting - All signals are confirmed and final
✅ Probability-Based - Shows confidence level, not just binary signals
✅ Multi-Factor Confluence - Combines structure, volume, momentum, and HTF analysis
✅ Clean Interface - Toggle individual components on/off
✅ Works on All Timeframes - From 1-minute scalping to daily swing trading
✅ Universal Markets - Forex, Crypto, Stocks, Indices, Commodities
🎨 Customization Options
Adjustable swing detection length
Volume threshold settings
Minimum confluence score filter
Custom color schemes
Dashboard position (4 corners)
Show/hide individual components
Risk/reward ratio adjustment
ATR multiplier for stops
📊 Best Used For:
✔️ Scalping (1m - 15m charts)
✔️ Day Trading (15m - 1H charts)
✔️ Swing Trading (4H - Daily charts)
✔️ Trend Following
✔️ Reversal Trading
✔️ Breakout Trading
💡 How to Use:
Add indicator to chart - Works immediately with default settings Set your timeframe - Choose your trading style Wait for signals - Green BUY or Red SELL labels with confidence %
Check confluence score - Higher % = better quality setup Review dashboard - Confirm market bias and HTF trend Manage risk - Use provided SL/TP levels or adjust to your preference
Set alerts - Get notified of high-probability setups
⚙️ Recommended Settings:
For Scalping (1m-5m):
Swing Length: 5-7
Min Confluence: 70%
HTF: 15m or 1H
For Day Trading (15m-1H):
Swing Length: 10-15
Min Confluence: 60%
HTF: 4H or Daily
For Swing Trading (4H-Daily):
Swing Length: 15-20
Min Confluence: 50-60%
HTF: Weekly
📚 Indicator Components:
✦ Market Structure Detection
✦ Order Block Identification
✦ Fair Value Gaps (FVG)
✦ Volume Analysis
✦ RSI (14)
✦ MACD (12, 26, 9)
✦ ATR (14)
✦ Multi-Timeframe Trend
✦ Confluence Scoring Algorithm
🚀 Performance Notes:
Optimized for speed and efficiency Minimal CPU usage Clean chart presentation
Limited drawing objects (no chart clutter) Works on all TradingView plans
⚠️ Important Notes:
This indicator is a tool to assist trading decisions, not financial advice Always use proper risk management (1-2% per trade recommended) Backtest on your preferred market and timeframe
Combine with your own analysis and strategy Past performance does not guarantee future results
🔔 Alert Setup:
Right-click indicator name → "Add Alert" → Choose:
"Bullish Confluence Signal" for buy setups
"Bearish Confluence Signal" for sell setups
"Volume Spike Alert" for unusual activity
💬 Support:
For questions, suggestions, or custom modifications, feel free to message me directly through TradingView.
Keltner Channels - signal providerThis enhanced channel for pro traders visually indicates enhanced entry or exit signal based on the position of the underlying within the channel. Remember: EVERY TREND HAS ITS RETRACEMENTS - with this indicator you will avoid entering in full uptrend (bearing more downside risk than upside) or exiting (shorting) at max downtrend.
To be used together with the trend on higher timeframes (especially for the interpretation of the baseline)
Upper part = potential sell signal (especially in overall downtrends)
Lower part = potential buy signal (especially in overall uptrends)
Basis = potential buy signal (especially in strong uptrends)
= potential sell signal (especially in overall downtrends)
SoopAlgo — Premium Buy & Sell Targets (v6)SoopAlgo — Premium Targets (v6)
Description / Usage:
SoopAlgo — Premium Targets is a powerful trading tool designed to provide clear and actionable buy and sell signals directly on your chart. It highlights optimal entry points with distinct labels and automatically plots target levels, helping traders plan exits with precision.
Advantages:
Clear Visual Signals: Buy and sell opportunities are displayed prominently, reducing confusion and improving decision-making speed.
Integrated Target Levels: Automatic target lines allow traders to set realistic profit expectations without manual calculations.
Customizable Alerts: Receive alerts when signals occur, ensuring you never miss a trade opportunity.
Clean, Modern Display: Minimal clutter with intuitive color-coding (Buy in blue, Sell in purple) for easy chart readability.
Flexible Settings: Easily adjust target distances, label sizes, and indicator sensitivity to fit different trading styles.
Ideal For:
Traders who want a streamlined, easy-to-read tool for spotting market entries and exits with visual targets and alerts, while keeping the chart clean and focused.
Monitor Posición Bollinger Multi-TFThis indicator provides a comprehensive dashboard that allows you to monitor the price position relative to Bollinger Bands across 7 different timeframes simultaneously, without the need to switch charts.
It uses the %B (Percent B) logic to normalize the price position, giving you an instant "Heatmap" view of the market state (Overbought/Oversold) from the 1-minute chart up to the Weekly chart.
Key Features:
Multi-Timeframe Monitoring: Watch 1m, 5m, 15m, 1h, 4h, Daily, and Weekly timeframes in a single panel.
Dynamic Color Coding:
Dark Red: Price breaking above the Upper Band (>100%).
Light Red: Price near the Upper Band (Resistance zone).
Gray: Price in the neutral middle zone.
Light Green: Price near the Lower Band (Support zone).
Dark Green: Price breaking below the Lower Band (<0%).
Trend Arrows: Indicates momentum (▲ or ▼) based on the previous candle's position.
Current Timeframe Highlight: Automatically highlights the row corresponding to your current chart view in orange.
Fully Customizable: Adjust Bollinger settings (Length, Mult), choose your preferred timeframes, and change the table position/size.
Movable Panel: Includes X/Y offset settings to prevent the table from blocking price action or menu buttons.
How to Use:
Add the indicator to your chart.
Use the dashboard to spot confluence across timeframes.
Example: If 15m, 1H, and 4H are all showing Red, the asset is likely overextended to the upside.
Example: If the lower timeframes are turning Green while the higher timeframes remain Gray/Bullish, it might indicate a pullback opportunity.
Settings:
Bollinger Config: Length (20) and Multiplier (2.0) by default.
Timeframes: Select the 7 specific TFs you want to track.
Visuals: Change table position, text size, and offset coordinates.
This tool is essential for scalpers and day traders who need situational awareness across multiple fractals instantly.
MACD Divergence auto displayed on chart, with alertsMACD Pivot Divergence Detector
This tool identifies MACD histogram divergences based on confirmed pivot highs and lows.
Instead of comparing swing points on the MACD line, this script focuses specifically on the histogram, which measures momentum shifts between MACD and Signal.
How it works
The script detects confirmed pivots using a two-bar swing structure.
When price breaks above a previous pivot high, the script compares the MACD histogram value at that pivot to the current histogram value:
• If price makes a higher high while the histogram makes a lower high, a potential bearish divergence is marked.
The reverse logic is applied for bullish divergence when price breaks below a pivot low.
What makes this script unique
It uses pivot-confirmed histogram values, not lookback-based divergence.
It evaluates divergence only at actual highs/lows, reducing false positives.
It marks divergence directly on the candles for visual clarity.
Alert conditions are included for automated detection.
How to use
Bullish signals may highlight potential momentum loss in downtrends; bearish signals may highlight momentum loss near highs. Divergence does not guarantee reversal and should be combined with broader context, structure, or trend analysis.
Professional BOS IndicatorThis is a trend following indicator that focuses on BOS, pullback and entry
Price Action - LegsRooted in Al Brooks' leg counting philosophy from "Trading Price Action Trends," this draws zigzag lines connecting swing points: green for up legs (until low < previous low), red for down legs (until high > previous high). Updates dynamically to new extremes, with optional count labels (0 resets on stronger pivots). Visualizes twists in channels or ranges—markets always test with two legs; use for pullback entries or reversals.
Price Action - H/L BarBased on Al Brooks' "Bar by Bar" (Chapter 09A, p.45-50) and "Trends" (p.98-105), this marks H (higher high with close above mid) and L (lower low with close below mid) swings. Marking pauses after each, resuming on pullback. Labels "H" above and "L" below bars for swing counting in trends or ranges. Key: Markets form two legs—use for measured moves or failed breakouts, always in context of prior extremes.
Wavelet Alligator – Separate Entry/Exit Experts & Wavelets-V2
Wavelet Alligator – Strategy Explanation & How to Use
1. Concept Overview
The Wavelet Alligator strategy combines:
- Wavelet transforms (Daubechies, Haar, Symlet, Mexican Hat, Morlet)
- Fractional calculus kernels: Caputo-Fabrizio (CF) and Atangana-Baleanu (AB)
- Three-layer “alligator-like” wavelet smoothing (soft → medium → strong)
- Expert-based entry/exit routing (RAW, CF, AB, or Majority vote)
- Independent wavelets for ENTRY and EXIT
- Main trend defined by AB wavelet ordering
This creates a multi-structure, multi-kernel trend engine capable of capturing extended moves with high signal quality.
2. Wavelet Alligator Structure
Each source (RAW, CF, AB) is transformed into three wavelet layers:
Soft = fastest reaction
Medium = mid smoothing
Strong = trend backbone
Wavelets:
- Daubechies: stable trend
- Haar: fast impulse detection
- Symlet: balanced
- Mexican Hat: curvature and reversal detection
- Morlet: cyclic, oscillatory
3. Entry Logic
Long entry occurs when:
- AB wavelet shows bullish structure (soft > medium > strong, medium rising)
- Selected entry expert approves (RAW / CF / AB / Majority)
- Wavelet condition: soft > strong AND medium crosses above strong
4. Exit Logic
Exit is independent from entry:
- Controlled by chosen exit expert
- Wavelet reversal condition: soft < strong AND medium crosses below strong
- Forced exit when AB trend turns neutral or bearish
5. Background Color (Regime)
- Green: bullish AB regime
- Red: bearish AB regime
- Gray: neutral/transition
6. How to Use
Step 1 – Choose entry wavelet
Daubechies: stable trend
Haar: breakout scalping
Mexican Hat: early reversals
Symlet: balanced
Morlet: cyclic markets
Step 2 – Choose exit wavelet
Mexican Hat: best precision
Daubechies: smooth exits
Haar: aggressive exits
Step 3 – Select entry/exit experts
CF only – fast fractional trend
AB only – stable long-memory trend
RAW only – pure price structure
Majority – safest, noise-filtered
Step 4 – Run the strategy
Entries occur only during AB bullish trend.
Exits occur on wavelet reversal or AB trend failure.
7. Why This Strategy Works
It fuses:
- Fractional calculus (memory)
- Wavelets (shape/curvature)
- Alligator ordering (trend hierarchy)
Result: high-quality entries, strong trend holding, noise-resistant signals.
Swing High-Low Line ConnectorSwing High-Low Line Connector is a simple and intuitive tool that automatically detects swing highs and swing lows using fractal-style pivot logic and connects them with clean, continuous lines. This indicator helps traders visualize market structure, trend shifts, and swing-based support/resistance levels at a glance.
The script identifies each confirmed swing point based on a user-defined lookback window (left/right bars). When a new swing is confirmed, the indicator updates the previous leg or creates a new one, effectively drawing the classic “zigzag-style” connections used in discretionary trading and price-action analysis.
A dynamic tail extension is included to show the most recent swing extending toward the current price. By default, the tail follows a ZigZag-style logic—extending upward after a swing low and downward after a swing high—but users can also anchor it to Close, High, Low, or HL2.
Features
Automatic detection of swing highs and swing lows
Clean line connections between swings (similar to discretionary market-structure mapping)
Proper consolidation handling: weaker highs/lows are ignored
Optional ZigZag-style dynamic tail extension
Fully customizable lookback window, line color, and line width
Works on any market and timeframe
Use Cases
Identifying market structure (HH, HL, LH, LL)
Visualizing trend transitions
Spotting breakout levels and swing-based support/resistance
Aiding discretionary swing trading, trend following, or pattern recognition
This indicator keeps the logic simple and visual—ideal for traders who prefer clean chart structure without unnecessary noise.
Price Actionthis is indicator from VuTienTurtleTrader, I need to further develop it thus publish my own version here.
the original script source:
EMA 89 and Hull MA 89 used to filter trading signals and working as support and resistance.
When both of them are red, market is bearisk, only short.
When both of them are green, market is bullish, only long.
when there is 1 green and 1 red, market is neutral, can short or long.
Enjoy and happy trading!
