Trading Psychology - Fear & Greed Index by DGTPsychology of a Market Cycle - Where are we in the cycle?
Before proceeding with the question "where", let's first have a quick look at "What is market psychology?"
Market psychology is the idea that the movements of a market reflect the emotional state of its participants. It is one of the main topics of behavioral economics - an interdisciplinary field that investigates the various factors that precede economic decisions. Many believe that emotions are the main driving force behind the shifts of financial markets and that the overall fluctuating investor sentiment is what creates the so-called psychological market cycles - which is also dynamic.
Stages of Investor Emotions:
* Optimism – A positive outlook encourages us about the future, leading us to buy stocks.
* Excitement – Having seen some of our initial ideas work, we begin considering what our market success could allow us to accomplish.
* Thrill – At this point we investors cannot believe our success and begin to comment on how smart we are.
* Euphoria – This marks the point of maximum financial risk. Having seen every decision result in quick, easy profits, we begin to ignore risk and expect every trade to become profitable.
* Anxiety – For the first time the market moves against us. Having never stared at unrealized losses, we tell ourselves we are long-term investors and that all our ideas will eventually work.
* Denial – When markets have not rebounded, yet we do not know how to respond, we begin denying either that we made poor choices or that things will not improve shortly.
* Fear – The market realities become confusing. We believe the stocks we own will never move in our favor.
* Desperation – Not knowing how to act, we grasp at any idea that will allow us to get back to breakeven.
* Panic – Having exhausted all ideas, we are at a loss for what to do next.
* Capitulation – Deciding our portfolio will never increase again, we sell all our stocks to avoid any future losses.
* Despondency – After exiting the markets we do not want to buy stocks ever again. This often marks the moment of greatest financial opportunity.
* Depression – Not knowing how we could be so foolish, we are left trying to understand our actions.
* Hope – Eventually we return to the realization that markets move in cycles, and we begin looking for our next opportunity.
* Relief – Having bought a stock that turned profitable, we renew our faith that there is a future in investing.
It's hard to predict with certainty where we exactly are in the market cycle, we can only make an educated guess as to the rough stage based on data available. And here comes the study "Trading Psychology - Fear & Greed Index"
Factors taken into account in this study include:
1-Price Momentum : Price Divergence/Convergence versus its Slow Moving Average
2-Strenght : Rate of Return (RoR) also called Return on Investment (ROI) is a performance measure used to evaluate the efficiency of an investment, net gain or loss of an investment over a specified time period, the rate of change in price movement over a period of time to help investors determine the strength
3-Money Flow : Chaikin Money Flow (CMF) is a technical analysis indicator used to measure Money Flow Volume over a set period of time. CMF can be used as a way to further quantify changes in buying and selling pressure and can help to anticipate future changes and therefore trading opportunities. CMF calculations is based on Accumulation/Distribution
4-Market Volatility : CBOE Volatility Index (VIX), the Volatility Index, or VIX, is a real-time market index that represents the market's expectation of 30-day forward-looking volatility. Derived from the price inputs of the S&P 500 index options, it provides a measure of market risk and investors' sentiments. It is also known by other names like "Fear Gauge" or "Fear Index." Investors, research analysts and portfolio managers look to VIX values as a way to measure market risk, fear and stress before they take investment decisions
5-Safe Haven Demand : in this study GOLD demand is assumed
What to look for :
*Fear and Greed Index as explained above,
*Divergencies
Tool tip of the label displayed provides details of references
Conclusion:
As investors, we always get caught up in the day to day price movements, and lose sight of the bigger picture. The biggest crashes happen not when investors are cautious and fearful, it's when they're euphoric and expecting financial instruments to continue going higher. So as we continue investing, don’t forget to stop and ask yourself, where in the chart do you think we are right now? The Market Psychology Cycle shines light on how emotions evolve, fear and greed index can come in handy, provided that it is not the only tool used to make investment decisions. It is easy to look back at market cycles and recognize how the overall psychology changed. Analyzing previous data makes it obvious what actions and decisions would have been the most profitable. However, it is much harder to understand how the market is changing as it goes - and even harder to predict what comes next. Many investors use technical analysis (TA) to attempt to anticipate where the market is likely to go. Investors are advised to keep tabs on fear for potential buying the dips opportunities and view periods of greed as a potential indicator that financial instruments might be overvalued.
Warren Buffett's quote, buy when others are fearful, and sell when others are greedy
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Cerca negli script per "demand"
RedK_AvgMoneyFlow Oscillator v1This is a compact & simple study that tracks the short-term average price change and the (average) volume associated with it, to generate a very clear signal when a change of buying/selling flow is detected. these buy/sell cycles can happen within a longer "demand / trend-up" or "supply / trend down" phases as we know.
this concept is a bit different from MFI or CMF. The math we use here is simpler, and more "relative" and short-term focused, deliberately.
how does it work
===============
once the average price change and the average volumes are calculated for the specified length, we then turn that into a +100/-100 oscillator format - using the stoch() function - which helps to generate a clearly identifiable unambiguous signal (crossing the zero line up or down) that help traders (mainly with entries)
-- the stoch() function also makes the oscillator "relative" to the specified period length, meaning, we can be in a uptrend (demand mode) and the MFO is showing flow "out" (negative) - that's specific to the short-term period - and that's exactly what i was trying to see
- the thinking here is that the best spot to go long is when the existing selling has been depleted and no more supply exists (during an uptrend), and vice verca.
- other stuff: i use WMA() throughout the script -- and we apply a smoothing for the final plot. keep smoothing to a minimum to avoid unnecessary lag in the signals
- the signal should be considered *after* a bar is fully closed.
Suggested Use
==============
i suggest you use this in combination with other indicators that can show the overall short-term and long-term bias (for example, i use the Ribbon here for that) - and take only entry signals in the same direction - a signal to go long, for example, would be when the bias / trend is up *and* the MFO crosses the zero line *going up* .. you may need to wait for that setup to show before you hit the trigger.
another benefit here, is that MFO will also detect strengths and weaknesses - when we see diversion with price movement. this shows couple of times in the example below
Please Note
============
i do not do short-term trading / scalping - those who do, i hope may find this useful - if you decide to use it and you do find it useful, please post feedback here for the common learning
Good luck!
Gap driven intraday trade (better in 15 Min chart)// Based on yesterday's High, Low, today's open, and Bollinger Band (20) in current minute chart,
// Defined intraday Trading opportunity: Stop, Entry, T0, Target (S.E.T.T)
// Back test in 60, 30, 15, 5 Min charts with SPY, QQQ, XOP, AAPL, TSLA, NVDA, UAL
// In 60 and 30 min chart, the stop and target are too big. 5 min is too small.
// 15 min Chart is the best time frame for this strategy;
// -------------------------------------------------------------------------------
// There will be Four lines in this study:
// 1. Entry Line,
// 1.1 Green Color line to Buy, If today's open price above Yesterday's High, and current price below BB upper line.
// 1.2 Red Color line to Short, if today's open price below Yesterday's Low, and current above BB Lower line.
//
// 2. Black line to show initial stop, one ATR in current min chart;
//
// 3. Blue Line (T0) to show where trader can move stop to make even, one ATR in current min chart;
//
// 4. Orange Line to show initial target, Three ATR in current min chart;
//
// Trading opportunity:
// If Entry line is green color, Set stop buy order at today's Open;
// Whenever price is below the green line, Prepare to buy;
//
// If Entry line is Red color, Set Stop short at today's Open;
// Whenever price is above the red line, Prepare to short;
//
// Initial Stop: One ATR in min chart;
// Initial T0: One ATR in min chart;
// Initial Target: Three ATR in min chart;
// Initial RRR: Reward Risk Ratio = 3:1;
//
// Maintain: Once the position moves to T0, Move stop to "Make even + Lunch (such as, Entry + $0.10)";
// Allow to move target bigger, such as, next demand/supply zone;
// When near target or demand/supply zone or near Market close, move stop tightly;
//
// Close position: Limit order filled, or near Market Close, or trendline break;
//
// Key Step: Move stop to "Make even" after T0, Do not turn winner to loser;
// Willing to "in and out" many times in one day, and trade the same direction, same price again and again.
//
// Basic trading platform requests:
// To use this strategy, user needs to:
// 1. Scan Stocks Before market open:
// Prepare a watch list for top 10 ETF and Top 90 stocks which are most actively traded.
// Stock might be limited by price range, Beta, optionable, ...
// Before market open, Run a scan for these stocks, find which has GAP and inside BB;
// create watch list for that day.
//
// 2. Attach OSO and OCO orders:
// User needs to Send Entry, Stop (loss), and limit (target) orders at one time;
// Order Send order ( OSO ): Entry order sends Stop order and limit order;
// Order Cancel order ( OCO ): Stop order and limit order, when one is filled, it will cancel the other instantly;
Dynamic Support and ResistanceSupport is a price level where a downtrend can be expected to pause due to a concentration of demand or buying interest. As the price of assets or securities drops, demand for the shares increases, thus forming the support line.
Meanwhile, resistance zones arise due to selling interest when prices have increased.s their name implies, dynamic support and resistance levels change their level with each new price-tick.To draw dynamic support and resistance levels, traders usually use moving averages which are automatically drawn by your trading platform. The 200-day exponential moving average (EMA), 100-day EMA, and 20-30-40-50-day EMA are very popular dynamic support and resistance levels.also in some references Williams Fractal level used for dynamic support and resistance levels. and it also includes other support and resistance levels that are projected based on the pivot point calculation. All these levels help traders see where the price could experience support or resistance. Similarly, if the price moves through these levels it lets the trader know the price is trending in that direction.
VPT and Heiken Ashi Candles MTFThe volume price trend indicator is used to determine the balance between a security’s demand and supply. The percentage change in the share price trend shows the relative supply or demand of a particular security, while volume indicates the force behind the trend. The VPT indicator is similar to the on-balance volume (OBV) indicator in that it measures cumulative volume and provides traders with information about a security’s money flow
So we put the VPT and add HA candles with non repainting MTF , the crossing up or down of the VPT over candles create the signals
since VPT tend to overshoot you can smooth it with Leni..(just give the smoothing of the length this stupid name:) )
alerts inside
just example of play with MTF and the smooth of VPT
Elliott Wave + SMC Fusion # Elliott Wave + SMC Fusion
## TITLE:
Elliott Wave + Smart Money Concepts Fusion
---
## SHORT DESCRIPTION:
Automated Elliott Wave pattern detection with Smart Money Concepts confirmation, EWO oscillator integration, and confluence scoring system.
---
## FULL DESCRIPTION:
### 📊 OVERVIEW
This indicator combines three powerful trading methodologies into a unified system:
- **Elliott Wave Theory** - Automated detection of Wave 1-2 impulse patterns
- **Smart Money Concepts (SMC)** - Order Blocks and Fair Value Gaps for institutional confirmation
- **Elliott Wave Oscillator (EWO)** - Momentum-based signal validation
The core concept is to identify high-probability Wave 3 entries by detecting completed Wave 1-2 structures and validating them with SMC and momentum indicators.
---
### 🔧 HOW IT WORKS
**1. Pattern Detection (ZigZag Method)**
- Uses pivot high/low detection to identify swing points
- Validates Wave 2 retracement using Fibonacci ratios (default: 38.2% - 88.6%)
- Requires minimum wave size to filter noise
- Applies confirmation bars to avoid premature signals
**2. Wave Projections**
- Wave 3 target: Fibonacci extension of Wave 1 (default: 1.618)
- Wave 4 retracement: Percentage of Wave 3 (default: 38.2%)
- Wave 5 projection: Extension of Wave 1 from Wave 4
**3. Smart Money Validation**
- **Order Blocks**: Identifies last opposing candle before breakout (institutional footprint)
- **Fair Value Gaps**: Detects price imbalances for potential support/resistance
**4. EWO Confirmation**
- Calculates momentum: (EMA5 / EMA34 - 1) × 100
- Signal line crossovers confirm trend direction
- Strong signals occur at extremes (< -13 or > 13 threshold)
**5. Confluence Scoring (0-100%)**
Points awarded for:
- Fibonacci quality of Wave 2 retracement (10-30 pts)
- Order Block presence (15 pts)
- Fair Value Gap presence (10 pts)
- Volume confirmation (10-15 pts)
- Trend alignment with EMA50 (10 pts)
- EWO confirmation (10-20 pts)
---
### 🎯 UNIQUE FEATURES
**Pattern Locking System**
- Once a valid pattern is detected, it locks until:
- Pattern invalidates (price breaks Wave 0)
- Pattern completes (Wave 5 reached)
- Auto-timeout (configurable bars)
- Prevents rapid signal flipping and false alerts
**Signal Stability Controls**
- Adjustable cooldown between signals (default: 20 bars)
- Minimum bar distance between wave points
- Direction change requirement option
- Confirmation bars after Wave 2 formation
**Visual Wave Tracking**
- Solid lines for impulse waves (0→1, 2→3, 4→5)
- Dashed lines for corrective waves (1→2, 3→4)
- Numbered labels on each wave point
- Real-time projection lines to targets
**Comprehensive Dashboard**
- Current wave status and lock state
- Pattern grade (A+ to D based on confluence)
- Projected vs actual wave levels (✓ when completed)
- SMC confirmation status
- Risk/Reward ratio calculation
- EWO trend direction
---
### 📈 TRADING APPLICATION
**Entry Strategy**
- Wait for Wave 1-2 pattern detection (diamond signal)
- Check confluence score (>65% = higher probability)
- Verify EWO alignment with pattern direction
- Enter after 30% retracement of Wave 2 (customizable)
**Risk Management**
- Stop Loss: Below Wave 0 (with buffer)
- Take Profit 1: Wave 3 projection
- Take Profit 2: Wave 5 projection
- R:R displayed in dashboard
**Invalidation Rules**
- Price breaks below Wave 0 (bullish) or above (bearish)
- Wave 2 level violated before Wave 3 forms
- Pattern timeout exceeded
---
### ⚙️ KEY SETTINGS
**Elliott Wave**
- ZigZag Length: Pivot detection sensitivity
- Fib Tolerance: Acceptable retracement range
- Min Wave Size: Filter small movements
**Signal Stability**
- Signal Cooldown: Minimum bars between signals
- Lock Pattern Until Invalid: Prevent signal changes
- Confirmation Bars: Wait after Wave 2
**Wave Projection**
- Wave 3/4/5 Fibonacci extensions
- Projection display distance
**EWO Settings**
- Fast/Slow EMA lengths
- Signal smoothing
- Strength threshold
**SMC Settings**
- Order Block lookback period
- FVG minimum size percentage
---
### 🔔 ALERTS
- New bullish/bearish pattern detected
- High confluence setup (>75%)
- Pattern invalidation
- Wave completion
---
### ⚠️ IMPORTANT NOTES
- This indicator identifies **potential** Elliott Wave patterns based on mathematical rules
- Elliott Wave analysis is subjective - patterns may be interpreted differently
- Always combine with other analysis methods and proper risk management
- Past pattern performance does not guarantee future results
- Pattern locking prevents repainting but delays new pattern detection
- Best used on higher timeframes (1H+) for cleaner wave structures
---
### 📚 METHODOLOGY REFERENCES
**Elliott Wave Theory**
- Wave 2 typically retraces 38.2% - 88.6% of Wave 1
- Wave 3 is often the strongest, extending 161.8% of Wave 1
- Wave 4 usually retraces 38.2% of Wave 3
- Wave 5 completes the impulse structure
**Smart Money Concepts**
- Order Blocks represent institutional supply/demand zones
- FVGs indicate price inefficiencies that may act as magnets
**Elliott Wave Oscillator**
- Developed to identify wave momentum
- Crossovers signal potential wave transitions
- Extreme readings often coincide with wave completions
---
### 🎨 VISUAL ELEMENTS
- **Green**: Bullish patterns and projections
- **Red**: Bearish patterns and projections
- **Orange**: Wave projection levels
- **Purple**: Order Block zones
- **Yellow**: Fair Value Gaps
- **Blue**: Entry levels
- **Diamond shapes**: New pattern signals
- **Triangle shapes**: EWO crossover signals
---
### 💡 TIPS FOR BEST RESULTS
1. Use on liquid markets with clear trend behavior
2. Higher timeframes produce more reliable patterns
3. Look for confluence scores above 65%
4. Verify EWO alignment before entry
5. Consider market context (overall trend, key levels)
6. Adjust ZigZag length based on your trading style
7. Increase cooldown period for longer-term signals
---
**Indicator Type**: Overlay
**Markets**: All (Crypto, Forex, Stocks, Commodities)
**Timeframes**: All (1H+ recommended)
**Style**: Pattern Recognition + Momentum + Price Action
ICS🏛️ Institutional Confluence Suite (ICS) Indicator
The Institutional Confluence Suite is a powerful and highly customizable TradingView indicator built to help traders identify key institutional trading concepts across multiple timeframes. It visualizes essential market components like Market Structures (MS), Order Blocks (OB)/Breaker Blocks (BB), Liquidity Zones, and Volume Profile, providing a confluence of institutional price action data.
📈 Key Features & Components
1. Market Structures (MS)
Purpose: Automatically identifies and labels shifts in market trends (Market Structure Shift, MSS) and continuations (Break of Structure, BOS).
Timeframe Detection: You can select detection across Short Term, Intermediate Term, or Long Term swings to match your trading horizon.
Visualization: Plots colored lines (Bullish: Teal, Bearish: Red) to mark the structures and optional text labels (BOS/MSS) for clear identification.
2. Order & Breaker Blocks (OB/BB)
Purpose: Detects and projects potential Supply and Demand zones based on recent price action that led to a swing high or low.
Block Types: Distinguishes between standard Order Blocks and Breaker Blocks (OBs that fail to hold and are traded through, often serving as support/resistance in the opposite direction).
Customization:
Detection Term: Adjusts sensitivity (Short, Intermediate, Long Term).
Display Limit: Sets the maximum number of recent Bullish and Bearish blocks to display.
Price Reference: Option to use the Candle Body (Open/Close) or Candle Wicks (High/Low) to define the block boundaries.
Visualization: Displays blocks as colored boxes (Bullish: Green, Bearish: Red) extending into the future, with a dotted line marking the 50% equilibrium level. Breaker Blocks are indicated by a change in color/line style upon being broken.
3. Buyside & Sellside Liquidity (BSL/SSL)
Purpose: Highlights areas where retail stops/limit orders are likely clustered, often represented by a series of relatively equal highs (Buyside Liquidity) or lows (Sellside Liquidity).
Detection Term: Adjustable sensitivity (Short, Intermediate, Long Term).
Margin: Uses a margin (derived from ATR) to group similar swing points into a single liquidity zone.
Visualization: Plots a line and text label marking the swing point, and a box indicating the clustered liquidity zone.
4. Liquidity Voids (LV) / Fair Value Gaps (FVG)
Purpose: Identifies areas where price moved sharply and inefficiency was created, often referred to as Fair Value Gaps or Imbalances. These are price ranges where minimal trading volume occurred.
Threshold: Uses a multiplier applied to the 200-period ATR to filter for significant gaps.
Mode: Can be set to Present (only show voids near the current price) or Historical (show all detected voids).
Visualization: Fills the price gap with colored boxes (Bullish/Bearish zones), often segmented to represent the price delivery across the gap.
5. Enhanced Liquidity Detection
Purpose: A complementary feature that uses volume and price action to highlight areas of high liquidity turnover, potentially indicating stronger Support and Resistance zones.
Calculation: Utilizes a volume-weighted approach to color-grade liquidity zones based on their significance.
Visualization: Plots shaded boxes (gradient-colored) around swing highs/lows, with text displaying the normalized volume strength.
6. Swing Highs/Lows
Purpose: Directly marks the price points identified as Swing Highs and Swing Lows based on the lookback periods.
Timeframe Detection: Can be enabled for Short Term, Intermediate Term, or Long Term swings.
Visualization: Plots a small colored dot/label (e.g., "⦁") at the swing point.
This indicator is an invaluable tool for traders employing ICT (Inner Circle Trader), Smart Money Concepts (SMC), or general price action strategies, as it automatically aggregates and displays these critical structural and liquidity elements.
Solana – Daily Chart AnalysisSolana is currently holding around $140 after a sharp correction from the upper channel resistance. Price is testing a key ascending trendline and horizontal support zone near $135.
📉 RSI at 32.76 signals oversold conditions, watch for potential bullish reversal setups.
🔮 Possible Path Ahead (White Projection):
• Bounce to $180 → Consolidation
• Breakout toward $240
• Target zone: $280–$300 by mid-2026
(based on channel re-entry and momentum recovery)
❗If support fails, next major demand zone sits around $100–$110.
📊 Watching closely for confirmation of trend reversal.
Quantile Support & ResistanceThis indicator plots dynamic support and resistance zones based on quantile logic — a statistically grounded method for identifying structural price boundaries.
Support Level: The price below which only a small percentage of lows fall (default: 10%). This approximates a strong demand zone.
Resistance Level: The price above which only a small percentage of highs rise (default: 10%). This approximates a strong supply zone.
Volatility-Adaptive: Levels adjust automatically to changing market conditions using a configurable lookback window.
Quantile Interpolation: Uses sorted price data and fractional indexing to estimate percentile thresholds with precision.
This tool is ideal for traders who want to visualize statistically significant price zones without relying on subjective drawing or fixed levels. It pairs well with breakout strategies, retest logic, and compression overlays.
High Volume Zones with Signals – HVZ█ OVERVIEW
"High Volume Zones with Signals – HVZ" is a technical analysis indicator that identifies High Volume Zones (HVZ) on the chart and draws them as fully customizable boxes. Perfect for traders using price action, ICT, and Smart Money Concepts. The indicator highlights key volume-based support/resistance levels, detects potential consolidation zones (very large candles), and generates precise breakout and exit signals. Flexible volume filters, ATR filter, and visual styling options ensure a clean and highly effective chart.
█ CONCEPTS
The indicator detects candles with volume significantly above the average (default ≥ 2× SMA of volume over 20 periods). Such candles often signal institutional activity and create strong supply/demand zones.
The ATR filter additionally identifies very large candles – frequently a sign of market capitulation (panic buying/selling). Within the range of such a candle, prolonged consolidation often occurs, especially on higher timeframes (e.g., 4H and above).
Why are HVZ important? High-volume zones are areas where the market has left a large number of orders – institutions return there to “refresh” liquidity before the next move. A breakout against the zone’s character triggers a Break signal:
- Bullish HVZ broken downward (close below the lower boundary) → Break Down (sell),
- Bearish HVZ broken upward (close above the upper boundary) → Break Up (buy).
Note: The indicator requires real exchange volume – it will not work correctly on instruments without reported volume (e.g., certain CFDs or forex).
█ FEATURES
- HVZ Detection: Automatic identification of high-volume zones with Volume SMA Length and Volume Multiplier filters; historical initialization up to 500 candles back.
- ATR Filter: Optional detection of very large candles (potential consolidation/capitulation) using - ATR Length and ATR Multiplier; three action modes:
Skip Zone – large candle creates no zone,
Separate Color – zone is drawn in a distinct style (gray by default),
Normal Zone – treated like a regular HVZ.
- Gray zones (large candles, Separate Color): generate exactly the same Break signals as regular zones – based solely on the original candle direction (bullish → Break Down on lower break, bearish → Break Up on upper break). Gray color is only a visual marker for potential consolidation/capitulation zones.
- Customizable Boxes: Separate styles for bullish and bearish zones (border color, background gradient, line thickness and style); adjustable background and 50 % midline transparency.
- Break & Exit Signals:
Break Up/Down – green/red triangle after a candle closes outside the zone (zone disappears, triangle remains as a trace).
Exit Up/Down – green/red circle when price leaves the zone without a full breakout.
Signal Type option: Break, Exit, or Both.
- Midline: Automatic dashed line at the 50 % zone level with independent transparency control.
- Chart Cleanup: Automatic removal of inactive zones older than 500 candles (max_boxes_count=500).
- Alerts: Built-in alerts for Break Up and Break Down with clear messages.
█ HOW TO USE
Add to Chart: Paste the script in Pine Editor or find it in TradingView’s indicator library.
Configure Settings:
- Volume Filter: Volume SMA Length (default 20) and Volume Multiplier (default 2.0) – higher multiplier = fewer but stronger zones.
- ATR Filter: Enable/disable, set ATR Length (14) and ATR Multiplier (3.5); choose action for very large candles (Skip Zone / Separate Color / Normal Zone).
- Box Style: Background transparency (90) and midline transparency (70).
- Bull/Bear Box Style: Border and gradient colors, line thickness (1-5).
- ATR Style: Separate colors for large-candle zones (gray by default).
- Signal Settings: Choose Signal Type (Break/Exit/Both) and signal colors.
Signal Interpretation:
- Break Up (green triangle below bar): Bearish HVZ broken upward → buy signal, continuation of uptrend.
- Break Down (red triangle above bar): Bullish HVZ broken downward → sell signal, continuation of downtrend.
- Exit Up/Down (circles): Price leaves zone without breakout – may signal end of correction or reversal setup.
- HVZ Zones: Price often returns to high-volume zones to clear orders. An unfilled zone remains a price magnet.
- 50 % Level (midline): Ideal target for partial take-profit or reaction point inside the zone.
Combine signals with other tools (e.g., RSI, MACD, higher timeframes) for higher confidence.
█ APPLICATIONS
- Price Action & ICT: HVZ act as dynamic S/R; in an uptrend look for buys after breaking a bearish HVZ, in a downtrend look for sells after breaking a bullish HVZ. If you trade retests instead of breakouts, increase Volume Multiplier to 2.5-3.0 – fewer zones but much stronger. Note that after breaking a very strong zone, price often pulls back deeply before continuing.
- Breakout Strategies: For maximum Break signals, lower Volume Multiplier to 1.5-1.8 – gives many high-quality entries in trending markets. Always trade in the direction of the prevailing trend (e.g., only longs in uptrends). Enter after a Break signal with confirmation from volume or momentum (MACD above zero, RSI >50 for longs, <50 for shorts).
█ NOTES
- The indicator requires real exchange volume – it will not function properly on instruments without reported volume (e.g., certain CFDs, forex).
- Always confirm signals with additional context (market structure, higher timeframe).
The Ultimate Price Action & SMC Toolkit: Delta Zones, MTF IndicaThis is an All-in-One Pine Script indicator that seamlessly combines three advanced trading concepts:
Delta Zones (Wick Pressure): Uses Standard Deviation to identify extreme buying/selling pressure within the candlestick wicks, signaling potential stop hunts or liquidity absorption. These are plotted as critical Buy/Sell Boxes.
Multi-Timeframe (MTF) Indicators: Confirms signals using popular indicators (RSI, CCI, Stochastic) calculated from a separate, user-selected Timeframe or the current chart timeframe. This adds a crucial layer of context and momentum confirmation.
Smart Money Concepts (SMC): Automatically detects and plots Orderblocks (OBs) and Breaker Blocks based on confirmed Market Structure Breaks (MSB). This helps locate high-probability Supply and Demand zones.
Key Features:
Integrated plotting for combined indicator signals.
Flexible MTF selection for all standard oscillators.
Automatic Swing High/Low detection for SMC analysis.
Comprehensive Alert system for Delta Pressure, Orderblocks, and Breaker Zones.
Option 2: Focusing on SMC and Flow (Concise)
Title: "SMC Delta Flow: Advanced Orderblock, Breaker, and Wick Reversal Zones with MTF Filter."
Description:
An essential tool for sophisticated SMC traders. This indicator provides high-precision zones:
Smart Money Blocks: Plots Orderblocks and Breaker Blocks following Market Structure Shifts (MSS). Includes a "Chop Control" feature to invalidate re-used or weak Breakers.
Delta Reversal Zones: Pinpoints candles showing extreme high-deviation wick pressure. Use these zones to confirm reversals and identify precise entry points where liquidity was captured.
MTF Confirmation: Incorporates configurable Multi-Timeframe (MTF) RSI, CCI, and Stochastic indicators to act as a momentum filter or confirmation tool.
Add this indicator to unify your analysis of Liquidity, Market Structure, and Momentum on a single chart!
SMC, SmartMoneyConcepts, Orderblock, BreakerBlock, MTF, MultiTimeframe, Delta, Wick, Liquidity, PriceAction, RSI, Stochastic, CCI
Mickey's Breaker Engine⚡ Breaker Engine | Auto Retest + Smart R:R Targets
A precision-grade breaker-block detection system built for traders who live and breathe clean structure.
This indicator automatically detects Breaker Candles, confirms them, marks their zones, and executes intelligent retest-based entry logic — complete with Stop-Loss and Risk-to-Reward (R:R) tracking up to 3R (or any custom ratio).
🧠 Core Concept
A Breaker Block is a structural shift where price violates liquidity from a failed order block and flips the zone’s polarity — turning a former supply into demand (or vice-versa).
This script identifies those setups automatically, confirms them only after a valid structure break, and waits for a clean retest to trigger a trade signal.
🚀 Key Features
⚙️ Smart Zone Detection
Detects both Bullish Breakers and Bearish Breakers.
Zones are drawn precisely using the breaker’s middle candle body (or full wick range if enabled).
Fully configurable transparency, width, and extension for better visual context.
🎯 Auto Retest Entry Logic
Entry triggers only on a clean retest, not on immediate breakout.
Includes logical filters to ensure retests are structurally valid and not overlapping candles.
Works in any timeframe or market — crypto, forex, indices, or commodities.
💡 Dynamic Risk–Reward Tracking
Automatically plots 1R, 2R, 3R, ...R targets based on your defined stop range.
Risk is calculated from entry to zone boundary or ATR offset.
Each target label appears precisely when hit.
Targets automatically stop updating once Stop-Loss is triggered.
🧱 Visual Clarity
BUY 🟢 / SELL 🔴 bubbles at entries.
SL ❌ marker when stop is hit.
🎯 1R / 2R / 3R labels dynamically plotted when each reward level is reached.
Non-overlapping placement using ATR-based spacing.
⚡ Real-Time Alerts - Instant alerts for:
✅ “Breaker BUY” – Clean retest confirmed (Long setup)
✅ “Breaker SELL” – Clean retest confirmed (Short setup)
❌ “Breaker BUY SL” – Stop hit for Long
❌ “Breaker SELL SL” – Stop hit for Short
🧩 Customization Panel
| Setting | Description |
| :-------------------------- | :------------------------------------------------------------------------------ |
| **ATR Length** | Controls volatility-based offset sizing. |
| **Entry / SL Offset × ATR** | Adjusts label spacing and dynamic positioning. |
| **Risk-Reward Ratio** | Define default R:R (e.g. 1:3). |
| **Multiple Retests** | Enable if you want the same breaker zone to allow multiple retests/entries. |
| **Banner Design** | Control opacity, extension, and wick usage for the breaker block visualization. |
| **Color Controls** | Choose your BUY/SELL/SL bubble colors to match your chart theme. |
⚙️ Underlying Logic (At a Glance)
Pattern Detection:
Identifies a 5-bar sequence that forms a valid Breaker Candle (the middle bar flips structure).
Confirmation:
Requires a follow-through candle to validate a real liquidity break.
Zone Registration:
Stores the breaker zone’s body range in arrays for tracking.
Clean Retest Entry:
Waits for price to retest the zone from the opposite side and close cleanly inside.
Stop Loss / Target Projection:
Defines stop loss just beyond the zone and plots up to 3 × reward targets dynamically.
Monitoring & Alerts:
Tracks each setup independently until either an R-target or SL is reached.
💬 Recommended Usage
Works best with market-structure traders, smart-money concepts, or liquidity-based systems.
Combine it with an external displacement confirmation or BOS/CHOCH tool for best precision.
Ideal for backtesting breaker-based R:R consistency or forward-testing retest entries.
Compatible with any asset / timeframe.
🧭 Disclaimer
This script is for educational and analytical purposes only.
It is not financial advice and should not be used to make trading decisions without independent confirmation or risk management.
Always test on demo data before deploying live.
cd_sfp_CxGeneral:
This indicator is designed to assist users who trade the Swing Failure Pattern ( SFP ).
In technical literature (various definitions exist), an SFP is a situation where the price violates a previous swing level but fails to close beyond that level.
• (Liquidity Sweep)
• (Buyer or seller dominance)
• (Stop hunt)
• (Turtle Soup)
The general strategy is built upon seeking trade opportunities after an SFP is formed and conviction is established that the market direction has changed.
Components used to gather confirmation:
• Determining Bias: Periodic SAR
• Obtaining Breakout/Reversal Confirmation: Change in State Delivery (CISD)
• Defining the Buyer/Seller Block (Supply/Demand Zones): Mitg Blocks (Mitigation Blocks), FVG (Fair Value Gaps), and Standard Deviation Projection
• Key Levels: Previous HTF (Higher Time Frame) levels
• Setting Targets: Standard Deviation Projection
• Trade Management: Anchored VWAP and opposing blocks
• Time-Based Context: Session Killzone times
• Notifications: An alarm/alert system will be utilized to stay informed.
________________________________________
Details:
Swing and Swing Failure Pattern:
Swing Sweep Types (Liquidity Sweep):
1. Single
2. Consecutive (The liquidity of the entity that swept the liquidity is being swept)
Bias Determination
We need to filter out the numerous SFPs that occur across all time frames. Our first strong filter will be the Bias. We will only look for trades aligned with our bias.
We will use Periodic SAR (Stop and Reverse) to determine the bias. We compare the price with the SAR value from a Higher Time Frame than the one we are trading on.
• Price > SAR => Bullish Bias
• Price < SAR => Bearish Bias
Depending on the pair, H1 SAR may be chosen for scalp trades, and Daily/Weekly SAR for intraday and swing trades.
Key Levels
Strategies looking for trades after a liquidity grab generally state that the sweep / stop hunt movement should occur at a significant price level.
The most fundamental Key Level levels are (User can customize):
• Previous Week High & Low
• Previous Day High & Low
• Previous H4 High & Low
• Previous H1 High & Low
• Asia Killzone High & Low
• London Killzone High & Low
• New York Killzone High & Low
• Monday Range High & Low values
We will prefer SFP formations that occur when these levels are swept. When Key Levels are violated, an information label appears on the screen.
Blocks / Zones
To strengthen our hand, we will use three types of blocks/zones, either with Key Levels or separately. When an SFP structure is formed in these areas (along with bias and breakout confirmation), our expectation is for the price to continue in our desired direction. These regions are:
1. Mitigation Blocks (Mtg)
o (Details can be found in the cd_VWAP_mtg_Cx indicator)
o In short: A second candle, following a bullish candle, crosses its high but fails to close above it. We call this a sweep / SFP. When the price, which was expected to go to the low, instead makes a new high/close, an Mtg block is formed. (Buyers are dominant)
2. FVGs (Fair Value Gaps)
o We use classic FVG structures.
3. Standard Deviation Projection Boxes
o When we get an SFP structure + breakout confirmation (CISD), we use the Standard Deviation Projection to determine our profit-taking and take-profit levels.
o Based on the idea that the price often respects the range between -2 and -2.5 of the projection values, we box this range and use it as our area of interest. (Our expectation is for the price to reverse after reaching this target).
o Let's mark it on the chart.
Confirmation
To summarize what has been explained so far: we look for the price to form an SFP structure in levels/zones we deem important, aligned with our bias, and for the breakout to be confirmed with a CISD.
No single component is strong on its own, but the success rate increases when they occur together.
We observe the following as additional confirmation along with the CISD: a new Mtg block forming in the direction of the breakout, high-volume movement (with FVG and a large body), and respect for VWAPs, the resistance/support line, and the defense block.
Additional Confirmations with Breakouts:
• Defence block, new mtg and VWAP
• Resistance / Support Line:
Indicator Signals
The indicator marks all formed sweeps, selected key levels, blocks, the projection, and CISD confirmations on the screen. The candle where the CISD confirmation occurs is indicated by an arrow.
• Arrows with double short lines signify a CISD that follows an SFP occurring at a Key Level.
• All other CISD candle indications are shown with single-line arrows.
Trade Management
When selecting profit targets in trades (preferably), the projection, opposing blocks, and structures that have formed are taken into account. Do not neglect to look at the structures that have formed against you when entering a trade.
Menu Settings:
• For Mtg blocks, the trading timeframe or a higher timeframe can be selected.
• FVGs formed in the current timeframe are displayed when the price creates an SFP (in "Fvg" option).
• Deviation boxes are displayed when the price creates an SFP (in box).
• The SAR HTF setting (H1) for scalp trades may vary depending on the pair. Users trying trades on higher timeframes should increase the HTF setting.
o Example: If you are looking for a trade with an SFP structure on H1, the SAR HTF setting should be H4 or higher.
• VWAP lines are refreshed starting from the candle that executed the sweep when the price forms an SFP. The only setting to adjust is the source selection setting (hlc3 is selected).
• Time frames and Killzone / Special Zone settings for Key Levels can be changed/should be checked.
Alarms / Alerts:
The conditions that will trigger an alert can be selected from the menu.
• To receive an alert aligned with the bias, the "Alignment with bias" checkbox must be selected.
• The alert should be set on the timeframe where you plan to enter the trade.
• The display options do not affect the alarm conditions. (Example: FVGs are monitored even when the menu selection is "off").
• If the necessary conditions are met, the alarm is triggered on the new candle that opens after the CISD confirmation.
• The alarm will not be triggered more than once at the same Key Level.
The user can preferably select alerts:
• Bias-aligned or Bias-independent
• Sweep (without waiting for CISD)
• Sweep + CISD (without looking for other conditions)
• Sweep + Key Level + CISD (the swept level is a Key Level)
• Sweep + Mtg / Fvg / Dev. + CISD (SFP formed in any of the blocks)
• Sweep + Mtg + CISD (SFP formed in the Mtg block)
• Sweep + Fvg + CISD (SFP formed inside the FVG)
• Sweep + Deviation Box + CISD (SFP formed inside the Dev. Box)
• Sweep + Key Level + Mtg / Fvg / Dev. + CISD (SFP formed simultaneously at a Key Level and any of the blocks)
Trade Example:
• Conditions: Bias-aligned + Sweep + Mtg/Fvg/Dev (at least one) + CISD
• Extra Confirmations: Respect for the Defense Block + Respect for VWAP
• Target (TP): Projection between -2 and -2.5
I welcome your thoughts and suggestions regarding my indicator, which I believe will be successful in the long run by adhering to uncompromising risk management and a strict trading plan.
Happy Trading!
Choch Pattern Levels WITH ALERTS [credit to: @BigBeluga]🔵 OVERVIEW
The Choch Pattern Levels WITH ALERTS indicator automatically detects Change of Character (CHoCH) shifts in market structure — crucial moments that often signal early trend reversals or major directional transitions. It plots the structural break level, visualizes the pattern zone with triangle overlays, and tracks delta volume to help traders assess the strength behind each move. Now, an additional feature of alerts have been included!
🔵 CONCEPTS
CHoCH Pattern: A bullish CHoCH forms when price breaks a previous swing high after a swing low, while a bearish CHoCH appears when price breaks a swing low after a prior swing high.
snapshot
Break Level Mapping: The indicator identifies the highest or lowest point between the pivot and the breakout, marking it with a clean horizontal level where price often reacts.
snapshot
Delta Volume Tracking: Net bullish or bearish volume is accumulated between the pivot and the breakout, revealing the momentum and conviction behind each CHoCH.
snapshot
Chart Clean-Up: If price later closes through the CHoCH level, the zone is automatically removed to maintain clarity and focus on active setups only.
🔵 FEATURES
Automatic CHoCH pattern detection using pivot-based logic.
Triangle shapes show structure break: pivot → breakout → internal high/low.
snapshot
snapshot
Horizontal level marks the structural zone with a ◯ symbol.
snapshot
Optional delta volume label with directional sign (+/−).
Green visuals for bullish CHoCHs, red for bearish.
Fully auto-cleaning invalidated levels to reduce clutter.
Clean organization of all lines, labels, and overlays.
User-defined Length input to adjust pivot sensitivity.
snapshot
NEW! - alert system inserted to Pinescript for either: any triangle forms or whether a bullish "green" triangle or bearish "red" triangle forms - providing real-time alerts for whenever timeframe chart you've selected while creating the alert.
🔵 HOW TO USE
Use CHoCH levels as early trend reversal zones or confirmation signals.
Treat bullish CHoCHs as support zones, bearish CHoCHs as resistance.
Look for high delta volume to validate the strength behind each CHoCH.
Combine with other BigBeluga tools like supply/demand, FVGs, or liquidity maps for confluence.
Adjust pivot Length based on your strategy — shorter for intraday, longer for swing trading.
🔵 CONCLUSION
Choch Pattern Levels WITH ALERTS highlights key structural breaks that can mark the start of new trends. By combining precise break detection with volume analytics and automatic cleanup, it provides actionable insights into the true intent behind price moves — giving traders a clean edge in spotting early reversals and key reaction zones with real-time alerts for precision to evaluate and enter markets.
Daily MA — Higher-Timeframe Daily Moving Average OverlayThis indicator plots a clean, higher-timeframe daily moving average directly on any chart, so you can always see where price sits relative to the daily trend — even while trading on lower timeframes (1m, 5m, etc.).
It’s designed to be:
Simple – a single, configurable daily MA line
Consistent – always anchored to the 1D timeframe
Flexible – choose EMA or SMA and customize line width/color
⸻
What This Indicator Does
Pulls the 1-Day (1D) moving average of the current symbol, regardless of your chart timeframe.
Lets you choose between EMA (Exponential Moving Average) or SMA (Simple Moving Average).
Plots that daily MA as a smooth overlay on your current chart.
Keeps the line visually clean and continuous, making it easy to see daily trend and dynamic support/resistance.
This is not a signals/strategy script. It doesn’t generate buy/sell arrows or backtest logic. It’s a context tool for visualizing the daily trend while you execute your own strategy.
⸻
Why a Daily MA Overlay Is Useful
Traders commonly use a daily moving average to:
Anchor intraday trades to the higher-timeframe trend
Longs when price is holding above the Daily MA
Shorts or caution when price is rejecting from the Daily MA
Identify dynamic support/resistance
Price often reacts around well-watched daily MAs (e.g., 50, 100, 200)
Filter setups
Only take long setups when price is above the daily trend line
Avoid counter-trend trades when price is extended far from the Daily MA
Because this script forces the MA to always be computed on 1D, you don’t have to switch back and forth between intraday and daily charts to keep track of the bigger picture.
⸻
Inputs & Settings
MA Length
Default: 200
Any positive integer (min 1)
Common examples: 50, 100, 200 for trend structure
MA Type
EMA – reacts faster to recent price (default)
SMA – smoother, slower, more “classic” feel
Line Width
Default: 2
Range: 1 to 10
Increase if you want the Daily MA to stand out clearly against other indicators
Color
Default: Purple tone
Fully customizable – pick any color that works with your chart theme
⸻
How to Use It in Your Workflow
Intraday traders (scalpers/day-traders):
Apply the indicator to your 1m/5m/15m charts.
Use the Daily MA as a trend filter :
Only look for long scalps when price is above the Daily MA.
Be more cautious with longs or consider shorts when price is below it.
Swing traders :
Use it on 1H/4H charts to see where price sits relative to a longer-term daily trend.
Watch for:
Pullbacks to the Daily MA in an uptrend as potential demand zones.
Rejections at the Daily MA in a downtrend as potential supply zones.
Risk management & context :
Avoid chasing extended moves far from the Daily MA.
Mark confluence with other tools (support/resistance, volume profile, etc.) around the Daily MA.
⸻
Notes & Limitations
The moving average itself is calculated from daily candles , then displayed on your current timeframe.
This is a visual aid only . It does not guarantee future performance or provide financial advice.
Always combine this indicator with your own analysis, risk management, and trading plan.
⸻
Disclaimer :
This script is provided for educational and informational purposes only. It is not financial advice and does not constitute a recommendation to buy or sell any financial instrument. Always do your own research and trade at your own risk.
Quantura - Liquidity Sweep & Run LevelsIntroduction
“Quantura – Liquidity Sweep & Run Levels” is a structural price-action indicator designed to automatically detect swing-based liquidity zones and visualize potential sweep and run events. It helps traders identify areas where liquidity has likely been taken (sweep) or released (run), improving precision in market structure analysis and timing of entries or exits.
Originality & Value
This tool translates institutional liquidity concepts into an automated visual framework. Instead of simply marking highs and lows, it dynamically monitors swing points, tracks their breaches, and identifies subsequent reactions. The indicator is built to highlight the liquidity dynamics that often precede reversals or continuations.
Its originality lies in:
Automatic identification and tracking of swing highs and lows.
Real-time detection of broken levels and liquidity sweeps.
Distinction between “Run” and “Sweep” modes for different market behaviors.
Persistent historical visualization of liquidity levels using clean line structures.
Configurable signal markers for bullish and bearish sweep confirmations.
Functionality & Core Logic
Detects swing highs and lows using a user-defined Swing Length parameter.
Stores and updates all swing levels dynamically with arrays for efficient memory handling.
Draws horizontal lines from each detected swing point to visualize potential liquidity zones.
Monitors when price breaks a swing level and marks that event as “broken.”
Generates signals when the market either sweeps above/below or runs away from those levels, depending on the chosen mode.
Provides optional visual signal markers (“▲” for bullish sweeps, “▼” for bearish sweeps).
Parameters & Customization
Mode: Choose between “Sweep” (detects liquidity grabs) or “Run” (detects breakout continuations).
Swing Length: Sets the sensitivity for detecting swing highs/lows. A higher value focuses on larger structures, while smaller values detect micro liquidity points.
Bullish Color / Bearish Color: Customize color themes for sweep/run lines and signal markers.
Signals: Enables or disables visual up/down markers for confirmed events.
Visualization & Display
Horizontal lines represent potential liquidity levels (unbroken swing highs/lows).
Once broken, lines automatically stop extending, marking the moment liquidity is taken.
Depending on the selected mode:
“Sweep” mode identifies false breaks or stop-hunt behavior.
“Run” mode highlights breakouts that continue the trend.
Colored arrows indicate the direction and type of liquidity reaction.
Clean, non-intrusive visualization suitable for overlaying on price charts.
Use Cases
Detect liquidity sweeps before major reversals.
Identify breakout continuations after liquidity runs.
Combine with Supply/Demand or FVG indicators for multi-layered confirmation.
Validate liquidity bias in algorithmic or discretionary strategies.
Analyze market manipulation patterns and institutional stop-hunting behavior.
Limitations & Recommendations
This indicator identifies structural behavior but does not guarantee trade direction or profitability.
Works best on liquid markets with clear swing structures (e.g., crypto, forex, indices).
Signal interpretation should be combined with confluence tools such as volume, order flow, or structure-based filters.
Excessively small swing settings may cause over-signaling in volatile markets.
Markets & Timeframes
Optimized for all major asset classes — including crypto, Forex, indices, and equities — and for intraday to higher-timeframe structural analysis (5-minute up to daily charts).
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description fully complies with TradingView’s Script Publishing Rules and House Rules . It avoids performance claims, provides transparency on methodology, and clearly describes indicator behavior and limitations.
Quantura - Fair Value GapIntroduction
“Quantura – Fair Value Gap” is a precision-engineered institutional concept indicator designed to automatically identify, visualize, and manage Fair Value Gaps (FVGs) across any market or timeframe. It enables traders to observe price inefficiencies, potential liquidity voids, and retracement areas that often act as magnets for price rebalancing.
Originality & Value
Unlike many public FVG scripts that only highlight candle gaps, this indicator integrates dynamic filters and adaptive logic to determine the strength and reliability of each gap. It merges overlapping zones intelligently and optionally extends valid imbalances forward for ongoing reference.
Its value lies in:
Dynamic statistical filtering based on gap standard deviation.
Optional volume confirmation for high-confidence FVGs.
Automatic merging of overlapping or adjacent gaps for clean visualization.
Support for both bullish and bearish imbalances.
Signal alerts when gaps are filled or rebalanced by price.
Functionality & Core Logic
Detects Fair Value Gaps by comparing candle-to-candle price displacement.
Applies a Gap Filter (standard deviation-based) to qualify valid gaps.
Optionally validates gaps formed under significant volume conditions.
Draws color-coded boxes to mark bullish (discount) and bearish (premium) inefficiencies.
Monitors each FVG until price fills the gap, at which point the box is visually closed.
Provides optional signal markers (“▲” or “▼”) when rebalancing occurs.
Parameters & Customization
Gap Filter: Sets the minimum statistical deviation required for a valid FVG. Higher values detect fewer, stronger gaps.
Volume Filter: Toggles additional validation using relative volume strength.
Volume Sensitivity: Adjusts how much above-average volume must be present to confirm a gap.
Bullish/Bearish Colors: Customize color schemes for imbalance zones.
Extend Gaps: Optionally extend open gaps forward for better confluence tracking.
Signals: Enables or disables gap-fill signal markers.
Visualization & Display
Bullish FVGs: Appear in blue-tinted boxes, indicating potential demand-side inefficiencies.
Bearish FVGs: Appear in red-tinted boxes, representing potential supply-side inefficiencies.
Overlapping zones are merged automatically to maintain clarity.
Filled gaps remain visible for historical context, allowing for post-event analysis.
Optional signal arrows display when price returns to rebalance an FVG.
Use Cases
Identify institutional inefficiencies and liquidity voids.
Detect premium and discount levels in trending markets.
Combine with market structure or order block indicators for confluence.
Track when price rebalances inefficiencies to refine entry/exit points.
Build FVG-based algorithmic strategies that rely on structural imbalance resolution.
Limitations & Recommendations
The indicator detects structural imbalances but does not predict future direction or guarantee profitability.
Volume filters may behave differently across brokers due to data-source differences.
Use alongside structure or liquidity tools for enhanced decision-making.
Extreme volatility or illiquid assets may generate temporary invalid gaps.
Markets & Timeframes
Compatible with all markets (crypto, forex, equities, indices, futures) and all timeframes. Recommended for multi-timeframe confluence analysis — e.g., detecting higher-timeframe FVGs and refining lower-timeframe entries.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description adheres fully to TradingView’s House Rules and Script Publishing Requirements . It provides a detailed explanation of originality, core logic, limitations, and appropriate use — with no unrealistic or misleading performance claims.
Volume Cluster Support and Resistance Levels [QuantAlgo]🟢 Overview
This indicator identifies statistically significant support and resistance levels through volume cluster analysis, isolating price zones characterized by elevated trading activity and institutional participation. By quantifying areas where volume concentration exceeded historical norms, it reveals price levels with demonstrated supply-demand imbalances that exhibit persistent influence on subsequent price action. The methodology is asset-agnostic and timeframe-independent, applicable across equities, cryptocurrencies, forex, and commodities from intraday to weekly intervals.
🟢 Key Features
1. Support and Resistance Levels
The indicator scans historical price data to identify bars where volume exceeds a user-defined threshold multiplier relative to the rolling average. For each qualifying bar, a representative price is calculated using the average of high, low, and close. Proximate price levels within a specified percentage range are then aggregated into discrete clusters using volume-weighted averaging, eliminating redundant signals. Clusters are ranked by cumulative volume to determine statistical significance. Finally, the indicator plots horizontal levels at each cluster price: support levels (green) below current price indicate zones where historical buying pressure exceeded selling pressure, while resistance levels (red) above current price mark zones where sellers historically dominated. These levels represent areas of established liquidity and price discovery, where institutional order flow previously concentrated.
The Touch Count (T) metric quantifies historical price interaction frequency, while Total Volume (TV) measures aggregate trading activity at each level, providing objective criteria for assessing level strength and trade execution decisions.
2. Volume Histogram
A histogram appears below the price chart, displaying relative volume for each bar within the lookback period, with bar height scaled to the maximum volume observed. Green bars represent up-periods (close > open) indicating buying pressure, while red bars show down-periods (close < open) indicating selling pressure. This visualization helps you confirm the validity of support/resistance levels by seeing where volume actually spiked, identify accumulation/distribution patterns, and validate breakouts by checking if they occur on above-average volume.
3. Built-in Alerts
Automated alerts trigger when price crosses below support levels or breaks above resistance levels, allowing you to monitor multiple assets without constant chart-watching.
4. Customizable Color Schemes
The indicator provides four preset color configurations (Classic, Aqua, Cosmic, Custom) optimized for visual clarity across different charting environments. Each scheme maintains consistent color mapping for support and resistance zones across both level lines and volume histogram components. The Custom configuration permits full color specification to accommodate individual charting setups, ensuring optimal visual contrast for extended analysis sessions.
Classic:
Aqua:
Cosmic:
Custom:
🟢 Pro Tips
→ Trade entry optimization: Execute long positions at support levels with high touch counts or upon confirmed resistance breakouts accompanied by above-average volume
→ Risk parameter definition: Position stop-loss orders near identified support/resistance zones with statistical significance to minimize premature exits
→ Breakout validation: Require volume confirmation exceeding historical average when price penetrates resistance to filter false breakouts
→ Level strength assessment: Prioritize levels with higher touch counts and total volume metrics for enhanced probability trade setups
→ Multi-timeframe confluence: Synthesize support/resistance levels across multiple timeframes to identify high-conviction zones where daily support aligns with 4-hour resistance structures
Firex Data Trade 5* SetupIdentifies Boring, Quiet, No Supply / No Demand candles. "
+ "Highlights potential 5★ setups for trading confirmation when price breaks candle highs/lows. "
+ "Helps traders spot low-volume turning points and breakout opportunities
RSI + Elder Bull-Bear pressure RSI + Bull/Bear (Elder-Ray enhanced RSI)
What it is
An extended RSI that overlays Elder-Ray Bull/Bear Power on the same, zero-centered scale. You get classic RSI regime cues plus a live read of buy/sell pressure, with optional smoothing, bands, and right-edge value labels.
Key features
RSI with bands – default bands 30 / 50 / 70 (editable).
Bull/Bear Power (Elder) – ATR-normalized; optional EMA/SMA/RMA/HMA smoothing.
One-pane overlay – RSI and Bull/Bear share a common midline (RSI-50 ↔ panel 0).
Right-edge labels – always visible at the chart’s right margin with adjustable offsets.
How to read it
Cyan line = RSI (normalized)
Above the mid band = bullish regime; below = bearish regime.
Green = Bull Power, Red = Bear Power
Columns/lines above 0 show buy pressure; below 0 show sell pressure.
Smoothing reduces noise; zero-line remains your key reference.
Trade logic (simple playbook)
Entry
BUY (primary):
RSI crosses up through 50 (regime turns bullish), and
Bull (green) crosses up through 0 (buy pressure confirms).
SELL (primary):
RSI crosses down through 50, and
Bear (red) crosses down through 0 (sell pressure confirms).
Alternative momentum entries
Aggressive BUY: Bull (green) pushes above RSI-80 band (strong upside impulse).
Aggressive SELL: Bear (red) pushes below RSI-30 band (strong downside impulse).
Exits / trade management
In a long: consider exiting or tightening stops if Bear (red) dips below the 0 line (rising sell pressure) or RSI loses 50.
In a short: consider exiting or tightening if Bull (green) rises above 0 or RSI reclaims 50.
Tip: “0” on the panel is your pressure zero-line (maps to RSI-50). Most whipsaws happen near this line; smoothing (e.g., EMA 21) helps.
Defaults (on first load)
RSI bands: 30 / 50 / 70 with subtle fills.
Labels: tiny, pushed far right (large offsets).
Bull/Bear smoothing: EMA(21), smoothed line plot mode.
RSI plotted normalized so it overlaps the pressure lines cleanly.
Tighten or loosen the Bull/Bear thresholds (e.g., Bull ≥ +0.5 ATR, Bear ≤ −0.5 ATR) to demand stronger confirmation.
Settings that matter
Smoothing length/type – balances responsiveness vs. noise.
Power/RSI Gain – visual scaling only (doesn’t change logic).
Band placement – keep raw 30/50/80 or switch to “distance from 50” if you prefer symmetric spacing.
Label offsets – move values clear of the last bar/scale clutter.
Good practices
Combine with structure/ATR stops (e.g., 1–1.5× ATR, swing high/low).
In trends, hold while RSI stays above/below 50 and the opposite pressure line doesn’t dominate.
In ranges, favor signals occurring near the mid band and take profits at the opposite band.
Disclaimer: This is a research/visual tool, not financial advice at any kind. Test your rules on multiple markets/timeframes and size positions responsibly.
Gold 15m: Trend + S/R + Liquidity Sweep (RR 1:2)This strategy is designed for short-term trading on XAUUSD (Gold) using the 15-minute timeframe. It combines trend direction, support/resistance pivots, liquidity sweep detection, and momentum confirmation to identify high-probability reversal setups in line with the dominant market trend.
⚙️ Core Logic:
Trend Filter (EMA 200):
The strategy only takes long positions when price is above the 200 EMA and short positions when price is below it.
Support/Resistance via Pivots:
Dynamic swing highs and lows are identified using pivot points. These act as local supply and demand levels where liquidity is likely to accumulate.
Liquidity Sweep Detection:
A bullish liquidity sweep occurs when price briefly breaks below the last pivot low (grabbing liquidity) and then closes back above it.
A bearish sweep occurs when price breaks above the last pivot high and then closes back below.
Momentum & Candle Strength:
The strategy filters signals based on candle range and body size to ensure entries occur during strong price reactions, not weak retracements.
Risk Management (1:2 RR):
Stop-loss is placed slightly beyond the last pivot level using ATR-based buffers, and take-profit is set at 2× the risk distance, maintaining a reward-to-risk ratio of 1:2.
💼 Trade Logic Summary:
Long Entry:
After a bullish liquidity sweep & reclaim, momentum confirmation, and trend alignment (above EMA 200).
Short Entry:
After a bearish sweep & reclaim, momentum confirmation, and trend alignment (below EMA 200).
Exit:
Automated via ATR-based Stop Loss and Take Profit targets.
📊 Customization Options:
Adjustable EMA length, pivot settings, ATR multipliers, and RR ratio.
Option to enable/disable trend filter.
Toggle display of S/R zones on chart.
🧠 Best Use:
Works best during London and New York sessions when Gold shows strong momentum.
Can be adapted for forex pairs and indices by tuning ATR and pivot parameters.
INDIAN INTRADAY BEASTThe Indian Intraday Beast is a precision-built intraday strategy optimized for the 15-minute timeframe.
It captures high-probability momentum shifts and trend reversals using adaptive price-action logic and proprietary confirmation filters.
Designed for traders who demand clarity, speed, and consistency in India’s fast-paced markets.
Best Time Slots — Auto-Adapt (v6, TF-safe) + Range AlertsTime & binning
Auto-adapt to timeframe
Makes all time windows scale to your chart’s bar size (so it “just works” on 1m, 15m, 4H, Daily).
• On = recommended. • Off = fixed default lengths.
Minimum Bin (minutes)
The size of each daily time slot we track (e.g., 5-min bins). The script uses the larger of this and your bar size.
• Higher = fewer, broader slots; smoother stats. • Lower = more, narrower slots; needs more history.
• Try: 5–15 on intraday, 60–240 on higher TFs.
Lookback windows (used when Auto-adapt = ON)
Target ER Window (minutes)
How far back we look to judge Efficiency Ratio (how “straight” the move was).
• Higher = stricter/smoother; fewer bars qualify as “movement”. • Lower = more sensitive.
• Try: 60–120 min intraday; 240–600 min for higher TFs.
Target ATR Window (minutes)
How far back we compute ATR (typical range).
• Higher = steadier ATR baseline. • Lower = reacts faster.
• Try: 30–120 min intraday; 240–600 min higher TFs.
Target Normalization Window (minutes)
How far back for the average ATR (the baseline we compare to).
• Higher = stricter “above average range” check. • Lower = easier to pass.
• Try: ~500–1500 min.
What counts as “movement”
ER Threshold (0–1)
Minimum efficiency a bar must have to count as movement.
• Higher = only very “clean, one-direction” bars count. • Lower = more bars count.
• Try: 0.55–0.65. (0.60 = balanced.)
ATR Floor vs SMA(ATR)
Requires range to be at least this many × average ATR.
• Higher (e.g., 1.2) = demand bigger-than-usual ranges. • Lower (e.g., 0.9) = allow smaller ranges.
• Try: 1.0 (above average).
How history is averaged
Recent Days Weight (per-day decay)
Gives more weight to recent days. Example: 0.97 ≈ each day old counts ~3% less.
• Higher (0.99) = slower fade (older days matter more). • Lower (0.95) = faster fade.
• Try: 0.97–0.99.
Laplace Prior Seen / Laplace Prior Hit
“Starter counts” so early stats aren’t crazy when you have little data.
• Higher priors = probabilities start closer to average; need more real data to move.
• Try: Seen=3, Hit=1 (defaults).
Min Samples (effective)
Don’t highlight a slot unless it has at least this many effective samples (after decay + priors).
• Higher = safer, but fewer highlights early.
• Try: 3–10.
When to highlight on the chart
Min Probability to Highlight
We shade/mark bars only if their slot’s historical movement probability is ≥ this.
• Higher = pickier, fewer highlights. • Lower = more highlights.
• Try: 0.45–0.60.
Show Markers on Good Bins
Draws a small square on bars that fall in a “good” slot (in addition to the soft background).
Limit to market hours (optional)
Restrict to Session + Session
Only learn/score inside this time window (e.g., “0930-1600”). Uses the chart/exchange timezone.
• Turn on if you only care about RTH.
Range (chop) alerts
Range START if ER ≤
Triggers range when efficiency drops below this level (price starts zig-zagging).
• Higher = easier to call “range”. • Lower = stricter.
Range START if ATR ≤ this × SMA(ATR)
Also triggers range when ATR shrinks below this fraction of its average (volatility contraction).
• Higher (e.g., 1.0) = stricter (must be at/under average). • Lower (e.g., 0.9) = easier to call range.
Alerts on bar close
If ON, alerts fire once per bar close (cleaner). If OFF, they can trigger intrabar (faster, noisier).
Quick “what happens if I change X?”
Want more highlighted times? ↓ Min Probability, ↓ ER Threshold, or ↓ ATR Floor (e.g., 0.9).
Want stricter highlights? ↑ Min Probability, ↑ ER Threshold, or ↑ ATR Floor (e.g., 1.2).
Want recent days to matter more? ↑ Recent Days Weight toward 0.99.
On 4H/Daily, widen Minimum Bin (e.g., 60–240) and maybe lower Min Probability a bit.
