Institutional Quantum Momentum Impulse [BullByte]## Overview
The Institutional Quantum Momentum Impulse (IQMI) is a sophisticated momentum oscillator designed to detect institutional-level trend strength, volatility conditions, and market regime shifts. It combines multiple advanced technical concepts, including:
- Quantum Momentum Engine (Hilbert Transform + MACD Divergence + Stochastic Energy)
- Fractal Volatility Scoring (GARCH + Keltner-based volatility)
- Dynamic Adaptive Bands (Self-adjusting thresholds based on efficiency)
- Market Phase Detection (Volume + Momentum alignment)
- Liquidity & Cumulative Delta Analysis
The indicator provides a Z-score normalized momentum reading, making it ideal for mean-reversion and trend-following strategies.
---
## Key Features
### 1. Quantum Momentum Core
- Combines Hilbert Transform, MACD divergence, and Stochastic Energy into a single composite momentum score.
- Normalized using a Z-score for statistical significance.
- Smoothed with EMA/WMA/HMA for cleaner signals.
### 2. Dynamic Adaptive Bands
- Upper/Lower bands adjust based on volatility and efficiency ratio .
- Acts as overbought/oversold zones when momentum reaches extremes.
### 3. Market Phase Detection
- Identifies bullish , bearish , or neutral phases using:
- Volume-Weighted MA alignment
- Fractal momentum extremes
### 4. Volatility & Liquidity Filters
- Fractal Volatility Score (0-100 scale) shows market instability.
- Liquidity Check ensures trades are taken in favorable spread conditions.
### 5. Dashboard & Visuals
- Real-time dashboard with key metrics:
- Momentum strength, volatility, efficiency, cumulative delta, and market regime.
- Gradient coloring for intuitive momentum visualization .
---
## Best Trade Setups
### 1. Trend-Following Entries
- Signal :
- QM crosses above zero + Market Phase = Bullish + ADX > 25
- Cumulative Delta rising (buying pressure)
- Confirmation :
- Efficiency > 0.5 (strong momentum quality)
- Liquidity = High (tight spreads)
### 2. Mean-Reversion Entries
- Signal :
- QM touches upper band + Volatility expanding
- Market Regime = Ranging (ADX < 25)
- Confirmation :
- Efficiency < 0.3 (weak momentum follow-through)
- Cumulative Delta divergence (price high but delta declining)
### 3. Breakout Confirmation
- Signal :
- QM holds above zero after a pullback
- Market Phase shifts to Bullish/Bearish
- Confirmation :
- Volatility rising (expansion phase)
- Liquidity remains high
---
## Recommended Timeframes
- Intraday (5M - 1H): Works well for scalping & swing trades.
- Swing Trading (4H - Daily): Best for trend-following setups.
- Position Trading (Weekly+): Useful for macro trend confirmation.
---
## Input Customization
- Resonance Factor (1.0 - 3.618 ): Adjusts MACD divergence sensitivity.
- Entropy Filter (0.382/0.50/0.618) : Controls stochastic damping.
- Smoothing Type (EMA/WMA/HMA) : Changes momentum responsiveness.
- Normalization Period : Adjusts Z-score lookback.
---
The IQMI is a professional-grade momentum indicator that combines institutional-level concepts into a single, easy-to-read oscillator. It works across all markets (stocks, forex, crypto) and is ideal for traders who want:
✅ Early trend detection
✅ Volatility-adjusted signals
✅ Institutional liquidity insights
✅ Clear dashboard for quick analysis
Try it on TradingView and enhance your trading edge! 🚀
Happy Trading!
- BullByte
Khối lượng
Smarter Money Concepts - OBs [PhenLabs]📊 Smarter Money Concepts - OBs
Version: PineScript™ v6
📌 Description
Smarter Money Concepts - OBs (Order Blocks) is an advanced technical analysis tool designed to identify and visualize institutional order zones on your charts. Order blocks represent significant areas of liquidity where smart money has entered positions before major moves. By tracking these zones, traders can anticipate potential reversals, continuations, and key reaction points in price action.
This indicator incorporates volume filtering technology to identify only the most significant order blocks, eliminating low-quality signals and focusing on areas where institutional participation is likely present. The combination of price structure analysis and volume confirmation provides traders with high-probability zones that may attract future price action for tests, rejections, or breakouts.
🚀 Points of Innovation
Volume-Filtered Block Detection : Identifies only order blocks formed with significant volume, focusing on areas with institutional participation
Advanced Break of Structure Logic : Uses sophisticated price action analysis to detect legitimate market structure breaks preceding order blocks
Dynamic Block Management : Intelligently tracks, extends, and removes order blocks based on price interaction and time-based expiration
Structure Recognition System : Employs technical analysis algorithms to find significant swing points for accurate order block identification
Dual Directional Tracking : Simultaneously monitors both bullish and bearish order blocks for comprehensive market structure analysis
🔧 Core Components
Order Block Detection : Identifies institutional entry zones by analyzing price action before significant breaks of structure, capturing where smart money has likely positioned before moves.
Volume Filtering Algorithm : Calculates relative volume compared to a moving average to qualify only order blocks formed with significant market participation, eliminating noise.
Structure Break Recognition : Uses price action analysis to detect legitimate breaks of market structure, ensuring order blocks are identified only at significant market turning points.
Dynamic Block Management : Continuously monitors price interaction with existing blocks, extending, maintaining, or removing them based on current market behavior.
🔥 Key Features
Volume-Based Filtering : Filter out insignificant blocks by requiring a minimum volume threshold, focusing only on zones with likely institutional activity
Visual Block Highlighting : Color-coded boxes clearly mark bullish and bearish order blocks with customizable appearance
Flexible Mitigation Options : Choose between “Wick” or “Close” methods for determining when a block has been tested or mitigated
Scan Range Adjustment : Customize how far back the indicator looks for structure points to adapt to different market conditions and timeframes
Break Source Selection : Configure which price component (close, open, high, low) is used to determine structure breaks for precise block identification
🎨 Visualization
Bullish Order Blocks : Blue-colored rectangles highlighting zones where bullish institutional orders were likely placed before upward moves, representing potential support areas.
Bearish Order Blocks : Red-colored rectangles highlighting zones where bearish institutional orders were likely placed before downward moves, representing potential resistance areas.
Block Extension : Order blocks extend to the right of the chart, providing clear visualization of these significant zones as price continues to develop.
📖 Usage Guidelines
Order Block Settings
Scan Range : Default: 25. Defines how many bars the indicator scans to determine significant structure points for order block identification.
Bull Break Price Source : Default: Close. Determines which price component is used to detect bullish breaks of structure.
Bear Break Price Source : Default: Close. Determines which price component is used to detect bearish breaks of structure.
Visual Settings
Bullish Blocks Color : Default: Blue with 85% transparency. Controls the appearance of bullish order blocks.
Bearish Blocks Color : Default: Red with 85% transparency. Controls the appearance of bearish order blocks.
General Options
Block Mitigation Method : Default: Wick, Options: Wick, Close. Determines how block mitigation is calculated - “Wick” uses high/low values while “Close” uses close values for more conservative mitigation criteria.
Remove Filled Blocks : Default: Disabled. When enabled, order blocks are removed once they’ve been mitigated by price action.
Volume Filter
Volume Filter Enabled : Default: Enabled. When activated, only shows order blocks formed with significant volume relative to recent average.
Volume SMA Period : Default: 15, Range: 1-50. Number of periods used to calculate the average volume baseline.
Min. Volume Ratio : Default: 1.5, Range: 0.5-10.0. Minimum volume ratio compared to average required to display an order block; higher values filter out more blocks.
✅ Best Use Cases
Identifying high-probability support and resistance zones for trade entries and exits
Finding optimal stop-loss placement behind significant order blocks
Detecting potential reversal areas where price may react after extended moves
Confirming breakout trades when price clears major order blocks
Building a comprehensive market structure map for medium to long-term trading decisions
Pinpointing areas where smart money may have positioned before major market moves
⚠️ Limitations
Most effective on higher timeframes (1H and above) where institutional activity is more clearly defined
Can generate multiple signals in choppy market conditions, requiring additional filtering
Volume filtering relies on accurate volume data, which may be less reliable for some securities
Recent market structure changes may invalidate older order blocks not yet automatically removed
Block identification is based on historical price action and may not predict future behavior with certainty
💡 What Makes This Unique
Volume Intelligence : Unlike basic order block indicators, this script incorporates volume analysis to identify only the most significant institutional zones, focusing on quality over quantity.
Structural Precision : Uses sophisticated break of structure algorithms to identify true market turning points, going beyond simple price pattern recognition.
Dynamic Block Management : Implements automatic block tracking, extension, and cleanup to maintain a clean and relevant chart display without manual intervention.
Institutional Focus : Designed specifically to highlight areas where smart money has likely positioned, helping retail traders align with institutional perspectives rather than retail noise.
🔬 How It Works
1. Structure Identification Process :
The indicator continuously scans price action to identify significant swing points and structure levels within the specified range, establishing a foundation for order block recognition.
2. Break Detection :
When price breaks an established structure level (crossing below a significant low for bearish breaks or above a significant high for bullish breaks), the indicator marks this as a potential zone for order block formation.
3. Volume Qualification :
For each potential order block, the algorithm calculates the relative volume compared to the configured period average. Only blocks formed with volume exceeding the minimum ratio threshold are displayed.
4. Block Creation and Management :
Valid order blocks are created, tracked, and managed as price continues to develop. Blocks extend to the right of the chart until they are either mitigated by price action or expire after the designated timeframe.
5. Continuous Monitoring :
The indicator constantly evaluates price interaction with existing blocks, determining when blocks have been tested, mitigated, or invalidated, and updates the visual representation accordingly.
💡 Note:
Order Blocks represent areas where institutional traders have likely established positions and may defend these zones during future price visits. For optimal results, use this indicator in conjunction with other confluent factors such as key support/resistance levels, trendlines, or additional confirmation indicators. The most reliable signals typically occur on higher timeframes where institutional activity is most prominent. Start with the default settings and adjust parameters gradually to match your specific trading instrument and style.
Multi-Timeframe Anchored VWAP Valuation# Multi-Timeframe Anchored VWAP Valuation
## Overview
This indicator provides a unique perspective on potential price valuation by comparing the current price to the Volume Weighted Average Price (VWAP) anchored to the start of multiple timeframes: Weekly, Monthly, Quarterly, and Yearly. It synthesizes these comparisons into a single oscillator value, helping traders gauge if the current price is potentially extended relative to significant volume-weighted levels.
## Core Concept & Calculation
1. **Anchored VWAP:** The script calculates the VWAP separately for the current Week, Month, Quarter (3 Months), and Year (12 Months), starting the calculation from the first bar of each period.
2. **Price Deviation:** It measures how far the current `close` price is from each of these anchored VWAPs. This distance is measured in terms of standard deviations calculated *within* that specific anchor period (e.g., how many weekly standard deviations the price is away from the weekly VWAP).
3. **Deviation Score (Multiplier):** Based on this standard deviation distance, a score is assigned. The further the price is from the VWAP (in terms of standard deviations), the higher the absolute score. The indicator uses linear interpolation to determine scores between the standard deviation levels (defaulted at 1, 2, and 3 standard deviations corresponding to scores of +/-2, +/-3, +/-4, with a score of 1 at the VWAP).
4. **Timeframe Weighting:** Longer timeframes are considered more significant. The deviation scores are multiplied by fixed scalars: Weekly (x1), Monthly (x2), Quarterly (x3), Yearly (x4).
5. **Final Valuation Metric:** The weighted scores from all four timeframes are summed up to produce the final oscillator value plotted in the indicator pane.
## How to Interpret and Use
* **Histogram (Indicator Pane):**
* The main output is the histogram representing the `Final Valuation Metric`.
* **Positive Values:** Suggest the price is generally trading above its volume-weighted averages across the timeframes, potentially indicating strength or relative "overvaluation."
* **Negative Values:** Suggest the price is generally trading below its volume-weighted averages, potentially indicating weakness or relative "undervaluation."
* **Values Near Zero:** Indicate the price is relatively close to its volume-weighted averages.
* **Histogram Color:**
* The color of the histogram bars provides context based on the metric's *own recent history*.
* **Green (Positive Color):** The metric is currently *above* its recent average plus a standard deviation band (dynamic upper threshold). This highlights potentially significant "overvalued" readings relative to its normal range.
* **Red (Negative Color):** The metric is currently *below* its recent average minus a standard deviation band (dynamic lower threshold). This highlights potentially significant "undervalued" readings relative to its normal range.
* **Gray (Neutral Color):** The metric is within its typical recent range (between the dynamic upper and lower thresholds).
* **Orange Line:** Plots the moving average of the `Final Valuation Metric` itself (based on the "Threshold Lookback Period"), serving as the centerline for the dynamic thresholds.
* **On-Chart Table:**
* Provides a detailed breakdown for transparency.
* Shows the calculated VWAP, the raw deviation multiplier score, and the final weighted (adjusted) metric for each individual timeframe (W, M, Q, Y).
* Displays the current price, the final combined metric value, and a textual interpretation ("Overvalued", "Undervalued", "Neutral") based on the dynamic thresholds.
## Potential Use Cases
* Identifying potential exhaustion points when the indicator reaches statistically high (green) or low (red) levels relative to its recent history.
* Assessing whether price trends are supported by underlying volume-weighted average prices across multiple timeframes.
* Can be used alongside other technical analysis tools for confirmation.
## Settings
* **Calculation Settings:**
* `STDEV Level 1`: Adjusts the 1st standard deviation level (default 1.0).
* `STDEV Level 2`: Adjusts the 2nd standard deviation level (default 2.0).
* `STDEV Level 3`: Adjusts the 3rd standard deviation level (default 3.0).
* **Interpretation Settings:**
* `Threshold Lookback Period`: Defines the number of bars used to calculate the average and standard deviation of the final metric for dynamic thresholds (default 200).
* `Threshold StDev Multiplier`: Controls how many standard deviations above/below the metric's average are used to set the "Overvalued"/"Undervalued" thresholds (default 1.0).
* **Table Settings:** Customize the position and colors of the data table displayed on the chart.
## Important Considerations
* This indicator measures price deviation relative to *anchored* VWAPs and its *own historical range*. It is not a standalone trading system.
* The interpretation of "Overvalued" and "Undervalued" is relative to the indicator's logic and calculations; it does not guarantee future price movement.
* Like all indicators, past performance is not indicative of future results. Use this tool as part of a comprehensive analysis and risk management strategy.
* The anchored VWAP and Standard Deviation values reset at the beginning of each respective period (Week, Month, Quarter, Year).
Delta vs Price Candle DivergenceDelta vs Price Candle Divergence
This indicator highlights potential turning points by identifying single-bar divergences between the direction of the price candle and the net volume delta for that same bar.
How it Works:
* Bearish Candle Divergence (Maroon Background): The background is highlighted when the main price candle closes higher than its open (a "green" price candle), but the net volume delta for that bar is negative (a "red" delta candle). This suggests buying activity lacked strong conviction, or significant selling occurred despite the upward price close.
* Bullish Candle Divergence (Lime Background): The background is highlighted when the main price candle closes lower than its open (a "red" price candle), but the net volume delta for that bar is positive (a "green" delta candle). This suggests selling activity lacked strong conviction, or significant buying occurred despite the downward price close.
The volume delta is calculated by analyzing data from a lower timeframe to approximate the buying and selling volume within each bar of the main chart. You can configure this lower timeframe in the settings; using a smaller timeframe (like the 10-seconds mentioned) provides more granular delta data.
Example Scenario:
Observing the London session today, instances of these divergences might appear. For example, using a 10-second lower timeframe setting for delta calculation, you might see several bars showing a Bearish Candle Divergence (price candle up, delta candle down) near a session high, potentially indicating weakening buying pressure and suggesting a possible reversal setup. Conversely, Bullish Candle Divergences near lows could signal potential exhaustion of selling pressure.
Important Note:
Divergences are signals of potential pressure shifts, not guaranteed reversal indicators. However, when used in conjunction with confirming lower timeframe price action following a signal, they can help identify potentially powerful entry opportunities. Always use these signals alongside other technical analysis methods, price action context, and robust risk management strategies.
Credits:
* The core concept of Volume Delta calculation builds upon the indicator by @TradingView
* Candle divergence logic and background color enhancement credit to smiley1910.
Explore More:
Feel free to check out my other indicators available on TradingView!
⚔️ ScalperX: Trap Sniper Pro
## ⚙️ **ScalperX: Trap Sniper Pro **
This script is a **smart money trap detector** built for scalpers and day traders who want to catch **reversals at liquidity sweeps** — before the big moves start.
It identifies **fakeouts**, **stop hunts**, and **trap wicks** by combining:
- Swing high/low sweeps
- Candle body confirmation
- VWAP bias
- Minimum volatility filter
---
### 🔍 Core Features:
- **Trap Wick Detection**
Detects if price sweeps a recent high or low and immediately rejects — classic liquidity grab behavior.
- **VWAP Trend Bias**
Ensures signals are only taken in the direction of institutional flow.
- **Minimum Movement Filter**
Filters out small or irrelevant candles — only signals when price range exceeds a set percentage (e.g., 0.3%).
- **Visual Debug Markers**
Triangles show sweep zones, circles show valid volatility — so you can see *why* a signal did or didn’t fire.
- **BUY / SELL Labels**
Signals are shown clearly when all trap and trend conditions align.
- **Alerts Built-In**
Set notifications for when trap signals appear in real time.
---
### 🧠 Strategy Logic:
**BUY Trap (Long Entry):**
- Price sweeps a recent low
- Candle closes bullish above VWAP
- Minimum range (e.g., 0.3%)
**SELL Trap (Short Entry):**
- Price sweeps a recent high
- Candle closes bearish below VWAP
- Minimum range (e.g., 0.3%)
---
### 🧪 Ideal For:
- Crypto scalpers (1m, 5m, 15m)
- Stop hunt reversal traders
- Smart money + liquidity-style systems
---
Cluster Price StepThis script allows you to calculate the optimal price step for current volatility when setting up cluster charts.
Volume Profile / The TrendThis source code is a combination of:
- "Adaptive Trend Finder (log)" by Julien_Eche, licensed under GPL-3.0 (© Julien Eche, 2023-present)
- "Volume Profile / Fixed Range" by LonesomeTheBlue, licensed under MPL 2.0 (© LonesomeTheBlue)
Modified and combined by Saupi in April 2025
Licensed under the GNU General Public License v3.0 (GPL-3.0)
See www.gnu.org for details
----------------------------------------------------------------------------------
Hello, Im Saupi..
I am grateful to be able to modify both indicators. Because I have long wanted the "Volume Profile" display to be able to move dynamically following the market trend, and finally I found "Adaptive Trend Finder" created by Julien_Eche which seems to be able to combine both, resulting in a powerful indicator and I am sure it will be very useful for many people.
BTC/USDT Smart Long & Short (RSI + VWAP + Rejection)Looks for overbought/sold levels that crossover the VWAP with price action confirmation
15 Minute Volume Reversal PointsVolume marks reversal points on 15-Minute chart. Tells Support and Resistance Levels.
IMACD + OBV Oscillator StrategyLazy bear IMACD + OBV OSC Strategy
Combining the IMACD indicator and OBVOSC indicator of Lazy Bear, the macd golden cross + obvosc is positive as the basis for entry, and the macd dead cross is the basis for selling.
伦敦开盘突破策略 V3(含统计+盈亏比)Used for 5-minute BTC perpetual contracts, open an order with a fixed position of 0.1 BTC and a balance of USD 1,000. COINBASE:BTCUSD
Enhanced Indicators### **Summary of the "Enhanced Indicators with Fib Levels" TradingView Script**
This script is a comprehensive trading tool designed for **Smart Money Concepts (SMC), Fibonacci retracement analysis, Fear Value Gaps (FVG), and trend-following indicators**. It combines multiple technical analysis approaches into a single overlay, helping traders identify key levels, breakouts, and potential reversals.
---
### **Key Features & Benefits**
#### **1. Fibonacci Retracement Levels (Daily)**
- Plots key Fib levels (23.6%, 38.2%, 50%, 61.8%, 78.6%) based on the **previous day’s high and low**.
- Helps identify **support/resistance zones** for potential reversals or continuations.
#### **2. Smart Money Concepts (SMC) Structures**
- **Break of Structure (BOS) & Change of Character (CHoCH)** detection.
- Customizable colors, line styles, and widths for visual clarity.
- Tracks recent structural breaks, helping traders spot **trend shifts and liquidity sweeps**.
#### **3. Fear Value Gaps (FVG) Detection**
- Identifies **unfilled imbalances** (bullish/bearish FVGs).
- Highlights **mitigated FVGs** (filled gaps) in gray.
- Adjustable history length to avoid clutter.
#### **4. Chandelier Exit (Trend-Following Stop)**
- Uses **ATR-based trailing stops** for long/short positions.
- Plots **BUY/SELL signals** when trend direction changes.
#### **5. Technical Indicators (Optional)**
- **EMA 5, EMA 50, EMA 200, SMA 100, SMA 200** for trend confirmation.
- **RSI Overbought/Oversold** conditions with alerts.
- **MACD Crossovers** for momentum signals.
- **Volume spikes** highlighted for confirmation.
#### **6. Customization & User Controls**
- Toggle on/off different components (SMC, FVG, indicators).
- Adjust colors, line styles, and history lengths.
- Choose between **candle body or wick breaks** for structure validation.
---
### **Benefits for Traders**
✅ **Multi-Timeframe Analysis**: Combines **daily Fib levels** with **intraday SMC structures** for high-probability setups.
✅ **Clear Visuals**: Customizable colors and styles prevent chart clutter while highlighting key levels.
✅ **Trend Confirmation**: Chandelier Exit + Moving Averages help filter trades in the right direction.
✅ **Institutional Concepts**: Focuses on **order flow, liquidity, and imbalances** (SMC & FVG).
✅ **Flexible**: Works for **swing trading, day trading, and scalping** depending on settings.
---
### **Best For:**
- Traders using **Smart Money Concepts (ICT, SMC, Price Action)**.
- Those looking for **Fibonacci confluence with order flow**.
- Traders who need **ATR-based trailing stops** (Chandelier Exit).
- Anyone wanting a **clean, all-in-one indicator** for key levels and trend analysis.
This script is **highly adaptable** and can be fine-tuned for different trading styles. 🚀
OBVX Conviction Bias🧮 The OBVX Conviction Bias overlay tracks the flow of directional volume using the classic On-Balance Volume calculation, then filters it through a layered moving average system to expose crowd commitment , pressure transitions , and momentum fatigue . The tool applies two smoothed averages to the OBV line—a fast curve and a longer-term baseline scaled using Euler’s constant (2.718)—and visualizes their relationship using a color-coded crossover ribbon and pressure fills. When used correctly, it reveals whether a move is being supported by meaningful volume, or whether the crowd is starting to disengage.
🚦 The core signal compares OBV to its fast moving average. When OBV climbs above the short average, it fills green—suggesting real directional effort. When OBV sinks below, the fill turns maroon—flagging fading conviction or pullback potential. A second fill between the short and long OBV moving averages captures the broader trend of volume intention. If the short is above the long, this space fills greenish, showing constructive pressure. If it flips, the fill fades red, signaling crowd hesitation, rotation, or early exhaustion.
⚖️ All smoothing is user-selectable, defaulting to VWMA for effort-sensitive structure. The long-term average is auto-scaled using the natural exponential multiplier (2.718), offering rhythm that reflects the curve of participation. OBVX Conviction Bias isn’t trying to predict—it’s trying to show you where the crowd is leaning , and whether that lean is gaining traction or losing strength.
🧐 Ideal Use-Cases:
• Detect divergence between volume flow and price action
• Confirm breakout validity with volume alignment
• Fade breakouts where OBV fails to follow through
• Time pullback entries when OBV pressure resumes in trend direction
🍷 Recommended Pairings:
• ZVOL to measure whether volume is statistically significant or just noise (as shown)
• RVOL Effort Matrix to validate crowd effort by tier and structure zone
• SUPeR TReND 2.718 and/or MA Ribbons for directional confluence
• ATR Turbulence to track volatility-phase alignment with volume intention
Bright Future Enhanced v2"Bright Future Enhanced v2" Scalping Indicator
This sophisticated Pine Script indicator combines 12+ technical tools for 5-minute scalping, featuring multi-timeframe confirmation, adaptive filters, and professional risk management. Here's the breakdown:
Core Components
Core Components
EWO Hybrid Oscillator
Dual MA ratio (3/21 EMAs or 5/34 SMAs)
Signal line with adjustable delay (3 periods)
Requires 0.05 gap threshold for valid crossover
Trend Quad-Filter System
ADX (6-period) with 25+ strength threshold
Heikin Ashi Smoothed Bias (30-period EMA)
Higher TF ADX alignment (15-min timeframe)
MA Filter (20-period EMA/SMA price position)
Momentum Confirmation
RSI (6-period) with 75/25 thresholds
CCI (6-period) with 75-level cross
Rate of Change (5-period)
Awesome Oscillator (5/34 differential)
Smart Risk Management
ATR-Based Stops
profitTarget = 1.5 * ATR(10) | stopLoss = 1 * ATR(10)
Volatility Filter
Allows trades only when ATR is between 0.3-1.2x of 14-period average
Signal Reset Logic
Cancels opposite positions on counter-signals
SanAlgo V3This is an indicator which uses VWAP and ATR indicators.
Buy / Sell signals are plotted with the breakout of ATR deviations and filtered using VWAP.
You can change deviation as per your need.
Alerts have been added to suit your preference.
Explore additional settings, toggle between options
This indicator works on all types of assets, and all timeframes.
JDA EMA + VWAP + ZLEMAThis script combines multiple technical indicators—EMAs, VWAP, ZLEMA, ZLEMA Bands, and a custom trend strength gauge—to help traders better understand trend direction, strength, and key crossover points. The indicator is designed to be drawn on the chart (i.e., overlay=true).
This multi-indicator script helps traders:
Track trend direction and strength via EMAs and a unique candle-based trend formula.
Monitor momentum shifts using ZLEMA and volatility bands.
Get alerted to key crossover events visually and through alerts.
Gain confidence with the trend gauge and labels that summarize the current market tone.
NY First Candle Break and RetestStrategy Overview
Session and Time Parameters:
The strategy focuses on the New York trading session, starting at 9:30 AM and lasting for a predefined session length, typically 3 to 4 hours. This timing captures the most active market hours, providing ample trading opportunities.
Strategy Parameters:
Utilizes the Average True Range (ATR) to set dynamic stop-loss levels, ensuring risk is managed according to market volatility.
Employs a reward-to-risk ratio to determine take profit levels, aiming for a balanced approach between potential gains and losses.
Strategy Settings:
Incorporates simple moving averages (EMA) and the Volume Weighted Average Price (VWAP) to identify trend direction and price levels.
Volume confirmation is used to validate breakouts, ensuring trades are based on significant market activity.
Trade Management:
Features a trailing stop mechanism to lock in profits as the trade moves in favor, with multiple take profit levels to secure gains incrementally.
The strategy is designed to handle both long and short positions, adapting to market conditions.
Alert Settings:
Provides alerts for key events such as session start, breakout, retest, and entry signals, helping traders stay informed and act promptly.
Visual cues on the chart highlight entry and exit points, making it easier for beginners to follow the strategy.
This strategy is particularly suited for the current volatile market environment, where simplicity and clear guidelines can help beginner traders navigate the complexities of trading. It emphasizes risk management and uses straightforward indicators to make informed trading decisions.
I put together this Trading View scalping strategy for futures markets with some help from Claude AI. Shoutout to everyone who gave me advice along the way—I really appreciate it! I’m sure there’s room for improvement, so feel free to share your thoughts… just go easy on me. :)
RsiVirgilSignalsThrough this MVRV indicator we will know when to sell, when to buy coins, we are guided by RSI, when it is down, buy, when it is up, we sell.
RSI Buy/Sell SignalsRsI give Buy and Sell signal when rsi reaches the top and sell when it reaches the bottom.
RSI + TSI + SuperTrendRSI + TSI It measures when the coin is super bought or super sold and when the coin is down you buy when the money is up
실전형 OBV + 추세 + 다이버전스//@version=5
indicator("실전형 OBV + 추세 + 다이버전스", overlay=false)
// === OBV 계산 ===
obv = ta.cum(volume * math.sign(close - close ))
// === EMA 기반 추세 판단
ema_fast = ta.ema(obv, 5)
ema_slow = ta.ema(obv, 20)
bullish = ta.crossover(ema_fast, ema_slow)
bearish = ta.crossunder(ema_fast, ema_slow)
// === OBV 다이버전스 감지 (간소형)
// 최근 고점/저점 비교
price_high = ta.highest(close, 10)
price_low = ta.lowest(close, 10)
obv_high = ta.highest(obv, 10)
obv_low = ta.lowest(obv, 10)
// 조건: 주가 고점 ↑, OBV 고점 ↓ → 약세 다이버전스
bear_div = close > close and obv < obv
// 조건: 주가 저점 ↓, OBV 저점 ↑ → 강세 다이버전스
bull_div = close < close and obv > obv
// === 차트 표시 ===
plot(obv, title="OBV", color=color.white, linewidth=2)
plot(ema_fast, title="EMA(5)", color=color.lime)
plot(ema_slow, title="EMA(20)", color=color.orange)
// === 시그널 마커 표시 ===
plotshape(bullish, title="골든크로스", location=location.belowbar, style=shape.triangleup, color=color.green, size=size.small)
plotshape(bearish, title="데드크로스", location=location.abovebar, style=shape.triangledown, color=color.red, size=size.small)
// === 다이버전스 표시
plotshape(bull_div, title="강세 다이버전스", location=location.belowbar, style=shape.circle, color=color.fuchsia, size=size.tiny)
plotshape(bear_div, title="약세 다이버전스", location=location.abovebar, style=shape.circle, color=color.maroon, size=size.tiny)
RSI-Volume Momentum Signal ScoreRSI-Volume Momentum Signal Score
Description
The RSI-Volume Momentum Signal Score is a predictive technical indicator designed to identify bullish and bearish momentum shifts by combining volume-based momentum with the Relative Strength Index (RSI). It generates a Signal Score derived from:
• The divergence between short-term and long-term volume (Volume Oscillator), and
• RSI positioning relative to a user-defined threshold.
This hybrid approach helps traders detect early signs of price movement based on volume surges and overbought/oversold conditions.
The Signal Score is computed as follows:
Signal Score = Volume Momentum x RSI Divergence Factor
Volume Momentum = tanh ((Volume Oscillator value (vo) – Volume Threshold)/Scaling Factor)
RSI Divergence Factor = ((RSI Threshold – RSI Period)/Scaling Factor)
Or,
Signal Score = tanh((vo - voThreshold) / scalingFactor) * ((rsiThreshold - rsi) / scalingFactor)
The logic of this formula are as follows:
• If Volume Oscillator >= Volume Threshold and RSI <= RSI Threshold: Bullish Signal (+1 x Scaling Factor)
• If Volume Oscillator >= Volume Threshold and RSI >= (100 – RSI Threshold): Bearish Signal (-1 x Scaling Factor)
• Otherwise: Neutral (0)
The tanh function provides the normalization process. It ensures that the final signal score is bounded between -1 and 1, increases sensitivity to early changes in volume patterns based on RSI conditions, and prevent sudden jumps in signals ensuring smooth and continuous signal line.
Input Fields
The input fields allow users to customize the behavior of the indicator based on their trading strategy:
Short-Term Volume MA
- Default: `2`
- Description: The period for the short-term moving average of volume.
- Purpose: Captures short-term volume trends.
Long-Term Volume MA)
- Default: `10`
- Description: The period for the long-term moving average of volume.
- Purpose: Captures long-term volume trends for comparison with the short-term trend.
RSI Period)
- Default: `3`
- Description: The period for calculating the RSI.
- Purpose: Measures the relative strength of price movements over the specified period.
Volume Oscillator Threshold
- Default: `70`
- Description: The threshold for the Volume Oscillator to determine significant volume momentum.
- Purpose: Filters out weak volume signals.
RSI Threshold
- Default: `25`
- Description: The RSI level used to identify overbought or oversold conditions.
- Purpose: Helps detect potential reversals in price momentum.
Signal Scaling Factor
- Default: `10`
- Description: A multiplier for the signal score.
- Purpose: Adjusts the magnitude of the signal score for better visualization.
How To Use It for Trading:
Upcoming Bullish Signal: Signal line turns from Gray to Green or from Green to Gray
Upcoming Bearish Signal: Signal line turns from Gray to Red or from Red to Gray
Note: The price that corresponds to the transition of Signal line from Gray to Green or Red and vise versa is the signal price for upcoming bullish or bearish signal.
The signal score dynamically adjusts based on volume and RSI thresholds, making it adaptable to various market conditions, and this is what makes the indicator unique from other traditional indicators.
Unique Features
Unlike traditional indicators, this indicator combines two different dimensions—volume trends and RSI divergence—for more comprehensive signal generation. The use of tanh() to scale and smooth the signal is a mathematically elegant way to manage signal noise and highlight genuine trends. Traders can tune the scaling factor and thresholds to adapt the indicator for scalping, swing trading, or longer-term investing.
VWAP and its DeviationVWAP and Its Deviation
This indicator shows the VWAP along with its along with its ±1 standard upper and lower deviation bands. VWAP helps traders understand the average price where most trading has happened during the day, acting as a dynamic support and resistance level. If the price is above the VWAP, it usually indicates bullish bias; if it's below, it suggests bearish bias. The upper and lower bands represent standard deviation levels from the VWAP and can be used to identify overbought or oversold conditions, or strong breakouts during trending markets.
In sideways conditions, price touching the upper band may signal an overbought area, while touching the lower band may signal oversold. In trending conditions, breaking above the upper band or staying below the lower band can confirm momentum. This indicator can be used alone or with other tools like price action, candlestick signals, or key support/resistance zones for better trade decisions. The deviation multiplier setting allows you to control how far the bands are from the VWAP.
What is VWAP?
VWAP represents the average price weighted by volume over a session. It shows where most of the trading activity happened and is often seen as the “fair price.”
Price above VWAP → Bullish Bias
Price below VWAP → Bearish Bias
VWAP acts as dynamic support/resistance in intraday trading
How to Use This Indicator:
VWAP Usage
Buy when price is above VWAP and pulls back to it (support zone)
Sell when price is below VWAP and pulls back to it (resistance zone)
Deviation Bands (Upper & Lower)
These bands are based on standard deviation, showing how far price is stretching from the VWAP:
Upper Band:
Resistance in sideways markets
Breakout zone in strong uptrends
Lower Band:
Support in sideways markets
Breakdown zone in strong downtrends
Use them for:
Identifying overbought/oversold zones
Confirming momentum or reversals
Adding confluence with price action, candle patterns, or support/resistance zones
Settings:
Show VWAP – Enable/disable the main VWAP line
Show VWAP Bands – Show/hide the deviation bands
Deviation Multiplier – Adjust the width of the bands (default: 1.0)
🧠 Tip for Beginners:
Start by observing how price reacts around the VWAP during live market hours. Combine this indicator with your support/resistance zones or candlestick signals to improve accuracy.
Created by @wkabichandra.
Let me know your feedback or suggestions for improvements!
Up/Down Volume Delta USDT/COIN NachomixCryptoFeatures:
Custom Timeframe Option: The user can select whether to use a custom timeframe for the analysis or stick with the default.
If enabled, the user can choose a custom timeframe.
The script defaults to using a 1-minute chart when no custom timeframe is specified.
Volume Data (Up and Down Volume): The script calculates buy (up) and sell (down) volume using the requestUpAndDownVolume() function for the selected timeframe.
Up Volume: The volume of buying activity.
Down Volume: The volume of selling activity.
Delta: The difference between up and down volume.
Plotting the Volume Data:
Up Volume: Plots the buy volume as green columns.
Down Volume: Plots the sell volume as red columns.
Delta: Displays the delta value (the difference between up and down volume) as a character on the chart, colored green for positive and red for negative values.
Label Positioning:
Users can choose the position of the buy and sell labels (e.g., above or below the bar, at the price level, high, or low of the candle).
There are inputs for adjusting the horizontal offset (how far the labels are placed in bars) and the vertical position for both buy and sell labels.
Label Creation:
Buy Label: Displays the buy volume in USDT at the chosen position.
Sell Label: Displays the sell volume in USDT at the chosen position.
Both labels are created dynamically and are adjusted based on the specified horizontal and vertical offsets.
Volume Data in Table:
A table is created on the chart to display the following information:
Buy Volume: Displays the total buy volume in both USDT and base currency (e.g., BTC).
Sell Volume: Displays the total sell volume in both USDT and base currency.
Total Volume: The difference between the buy and sell volumes in both USDT and the base currency.
Percentage: The percentage of buy and sell volume relative to the total volume.
The table is displayed in the top right corner of the chart.
Error Handling:
If no volume data is available for the selected symbol, an error is triggered to notify the user.
Inputs:
useCustomTimeframeInput: Boolean input to toggle custom timeframes.
lowerTimeframeInput: Timeframe input for custom timeframe selection.
labelBuyPositionOption: Input to select the position of the buy label (e.g., price, high, low, above, or below the bar).
labelSellPositionOption: Input to select the position of the sell label (e.g., price, high, low, above, or below the bar).
buyLabelOffset: Horizontal offset for the buy label (in bars).
sellLabelOffset: Horizontal offset for the sell label (in bars).
Calculation:
Buy and Sell Amount in USDT: The buy and sell volume is multiplied by the current price (close) to calculate the total amount in USDT.
Buy and Sell Amount in Base Currency: The up and down volume is used directly to represent the amount in the base currency (e.g., BTC).
Total Volume: The total volume is the difference between the buy and sell volumes in USDT.
Labels and Table:
The buy and sell labels are dynamically created and positioned based on user input. The labels display the total buy and sell volumes in USDT.
A table in the top right corner displays the volume data, including both the absolute amount and the percentage of each volume type.