Market Structure + VIX + CPC + PCCE MA5 신호For zuzu club
shout out to our goat finics
it's gae ggul tong when vixx below 15
just indicator
if alarm tiggerd just start thinking
god bless you
GAZUA~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Volatility
Bot Superindicador v1.1This indicator was developed to complement automated trading systems, providing clear buy and sell signals based on technical criteria and trend analysis. It is useful for traders who want to visualize strategies directly on the chart.
Features:
Entry and exit signals based on momentum logic and moving averages.
Optimized for the BTC/USDT pair, but adaptable to other pairs.
Can be used as a base for webhook alert systems.
Rolling Z-Score Trend [QuantAlgo]🟢 Overview
The Rolling Z-Score Trend measures how far the current price deviates from its rolling mean in terms of standard deviations. It transforms price data into standardized scores to identify overbought and oversold conditions while tracking momentum shifts.
The indicator displays a Z-Score line showing price deviation from statistical norms, with background momentum columns showing the rate of change in these deviations. This helps traders and investors identify mean reversion opportunities and momentum shifts across different asset classes and timeframes.
🟢 How It Works
The indicator uses the Z-Score formula: Z = (X - μ) / σ, where X is the current closing price, μ is the rolling mean, and σ is the rolling standard deviation over a user-defined lookback period. This creates a dynamic baseline that adapts to changing market conditions and standardizes price movements for interpretation across different assets and volatility conditions. The raw Z-Score undergoes 3-period EMA smoothing to reduce noise while maintaining responsiveness to market signals.
Beyond the basic Z-Score calculation, the indicator measures the rate of change in Z-Score values between successive bars, displayed as background momentum columns. This momentum component shows acceleration and deceleration of statistical deviations. All calculations are processed through confirmation filters, displaying signals only on confirmed bars to reduce premature signals based on incomplete price action.
🟢 How to Use
1. Z-Score Interpretation and Threshold Zones
Positive Values (Above Zero) : Price trading above statistical mean, suggesting bullish momentum or potential overbought conditions
Negative Values (Below Zero) : Price trading below statistical mean, suggesting bearish momentum or potential oversold conditions
Zero Line Crosses : Signal transitions between statistical regimes and potential trend changes
Upper Threshold Zone : Area above entry threshold (default 1.5) indicating potential overbought conditions
Lower Threshold Zone : Area below negative entry threshold (default -1.5) indicating potential oversold conditions
Extreme Values (±2.0 or higher) : Statistically significant deviations that may indicate reversal opportunities
2. Momentum Background Analysis and Info Table
Green Columns : Accelerating positive momentum in Z-Score values
Red Columns : Accelerating negative momentum in Z-Score values
Column Height : Magnitude of momentum change between bars
Momentum Divergence : When columns contradict primary Z-Score direction, often signals impending reversals
Info Table : Displays real-time numerical values for both Z-Score and momentum, including trend direction indicators and bar-to-bar change calculations for position management
3. Preconfigured Settings
Default : Balanced performance across multiple timeframes and asset classes for general trading and medium-term position management.
Scalping : Responsive setup for ultra-short-term trading on 1-15 minute charts with frequent signals and increased sensitivity to quick price movements.
Swing Trading : Optimized for multi-day positions with noise filtering, focusing on larger price swings. Most effective on 1-4 hour and daily timeframes.
Trend Following : Maximum smoothing that prioritizes established trends over short-term volatility. Generates fewer signals for daily and weekly charts.
Nikko MACD + SMA 200 MEME coin strategyThis is an old strategy originally developed by ChartArt in 2015, based on MACD + SMA 200 and written in Pine Script version 2.
I’ve upgraded it to version 6 and significantly improved its performance.
The strategy is actually highly profitable under certain conditions, especially when applied to meme coins. You don’t need to modify anything—just test it directly on volatile assets.
It outperforms the typical “Buy and Hold” approach on many high-volatility coins, particularly memes.
Key Notes:
It’s simple but effective when properly configured.
No need for pyramiding: just sell 100% when bearish and buy 100% when bullish—this tends to yield better results.
The 1-hour timeframe works well. Very short intervals like 2 minutes perform poorly, and overly long ones aren't effective either. Test and adjust.
The equity drawdown is relatively low, so it can be suitable for leveraged trading—though leverage is always risky, and caution is advised.
I believe this is one of the most effective free strategies with open-source code currently available on TradingView.
Example:
SEED_DONKEYDAN_MARKET_CAP:FLOKI on a 30-minute timeframe delivers +683% profit
Starting with $10,000, it ends with over $68,000
It also performs well on CRYPTOCAP:PEPE and SEED_DONKEYDAN_MARKET_CAP:BONK , but does not yield strong results with $BTC.
Below is the README:
--------------------------------------------------------------------------------------
// Original by ChartArt
// updated from v2 to v6 and improved some stuff
strategy("Nikko MACD + SMA 200 Strategy (by ChartArt)", shorttitle="Nikko - MACD + SMA 200 Strategy", overlay=true, initial_capital=10000,default_qty_value = 10, pyramiding = 10, default_qty_type = strategy.percent_of_equity, commission_value = 0.06 )
// ChartArt's MACD + SMA 200 Strategy
//
// Version 2.0
// Idea by ChartArt on November 30, 2015.
// updated June 2025 by CryptoNikkoid
//
// Here is a combination of the MACD with the
// slow moving average SMA 200 as a strategy.
//
// This strategy goes long if the MACD histogram
// and the MACD momentum are both above zero and
// the fast MACD moving average is above the
// slow MACD moving average. As additional long filter
// the recent price has to be above the SMA 200.
// If the inverse logic is true, the strategy
// goes short. For the worst case there is a
// max intraday equity loss of 50% filter.
// -------------------
// changed the strategy to close all orders when turning bearish, also fixed some design glitches
// this strategy is working better on short timeframe (5min for example)
Consolidation Zones[RanaAlgo]Overview
This indicator helps traders identify price consolidation zones (ranges) and potential breakouts in the market. It is useful for spotting periods of low volatility before significant price movements.
How It Works
Detects Consolidation Zones
Uses the ADX (Average Directional Index) to determine when the market is in a consolidation phase .
When ADX is below the threshold , the indicator marks the start of a consolidation zone.
Draws a semi-transparent box around the price range, adjusting its height as new highs/lows form.
Tracks Breakouts
When price breaks above/below the consolidation box, it signals a potential trend continuation.
Displays breakout arrows/labels (configurable shape & style) when price exits the range.
Visual Features
Boxes highlight consolidation areas (customizable color, border, and style).
Labels show real-time status ("CONSOLIDATING" or "TRENDING").
Breakout signals appear as arrows or shapes (up/down).
Usefulness in Trading
Range Trading: Helps traders identify sideways markets for buying low and selling high.
Breakout Trading: Signals potential trend entries when price exits consolidation.
Trend Confirmation: Low ADX + consolidation box = weak trend; breakout = possible trend start.
Example: If price stays in a blue box (consolidation) and then breaks above with an arrow, it suggests a bullish move.
Liquidity Hunter HeatmapLiquidity Hunter (GPS Companion Tool)
Liquidity Hunter is a specialized script designed to help traders visualize and track potential liquidation zones, clusters, and imbalance traps in real-time. It is particularly useful for scalpers and short-term traders who rely on liquidity sweeps, stop hunts, and reversion plays.
This tool does not replicate open-source liquidation trackers. Instead, it uses a proprietary combination of volume surges, candle displacement, VWAP deviation, and high-timeframe wicks to infer areas of trapped traders and display them with clear, color-coded markers.
Key Features:
• Real-Time Liquidation Estimates: Detects where major stop losses (and potential liquidations) may have occurred, based on proprietary volume + price action logic.
• Cluster Strength Bubbles: Visual bubbles (scaled by cluster size) show where liquidations are stacking. Purple for bearish, white for bullish — intensity reflects strength.
• Pre-Liquidation Warning Zones: Highlights areas where price is likely to sweep liquidity before reversing, helping traders avoid chasing moves.
• Dollar-Based Labels (Optional): Displays the estimated value liquidated, helping traders size the significance of a move (e.g., $8.4M).
• Minimal Clutter Mode: Designed for intraday clarity — hides excess lines and uses bubbles, not shapes, for cleaner visualization.
ATR Ray Stop
A complementary tool designed to work with Jace's Chaos Theory Indicator for precise stop loss placement.
Input your identified zone edge level from the chaos theory analysis, and this indicator automatically calculates ATR-based stop loss levels above or below your level.
Customize the ATR multiplier, direction, and visual appearance to match your risk management strategy. Perfect for setting dynamic stops that account for market volatility while respecting key support and resistance zones.
Jace's Chaos Theory Indicator
PriceChannel_Ver1 [VNFlow]🔹 PriceChannel_Ver1 — Smart Trend & Signal Channel
This indicator combines ATR-based price channels with stochastic momentum and dynamic trend detection to provide clear BUY/SELL signals and visualize potential take-profit and stop-loss zones.
It adapts to market direction using price action and plots two types of trend lines (short-term and long-term) to highlight directional shifts.
🔧 Key Features:
Dynamic Price Channel: Based on ATR multipliers, adjusts upper/lower boundaries according to market volatility.
Stochastic Filter: Identifies entry points aligned with market direction.
Trend Detection: Recognizes bullish/bearish bias using breakout logic.
Visual Trade Zones: Auto-draws TP/SL boxes with precise levels.
Short & Long Trendlines: Connect recent pivot shifts with red (down) or blue (up) lines.
Custom Alerts: Instant notifications when BUY or SELL conditions are triggered.
🔸 Ideal for traders who follow price structure, trend-following, and momentum confirmation across any market or timeframe.
=====
Email: hasobin@outlook.com
London Session High/Low Zones — Mended CollectiveThis indicator shows the high and low of the London session (3AM–8AM EST), with session shading and labels. Alerts notify you when price breaks above or below the range. Designed for intraday traders using session-based levels.
Daily ATR TrackerDaily ATR Tracker
The Daily ATR Tracker is a simple yet powerful tool designed to help traders monitor the daily price movement relative to the average daily range (ATR). This indicator provides an objective view of how much price has moved compared to its recent daily volatility.
🔎 Key Features:
Customizable ATR period (default 14 days)
Live calculation of the current day's price range
ATR value displayed in pips for clear reference
Percentage of ATR covered by the current day's range
Color-coded table for quick visual interpretation:
🟢 Green: less than 60% of ATR covered
🟠 Orange: 60% to 100% of ATR covered
🔴 Red: more than 100% of ATR covered
Alert condition when daily range exceeds 100% of the ATR average
Movable table position to fit your chart layout
🎯 Why use Daily ATR Tracker?
✅ Identify exhaustion zones: When price has already covered a large portion of its typical daily range, the odds of further strong movement may diminish, helping you to manage entries, exits, and risk.
✅ Objective daily bias: Get a quantitative sense of how "stretched" the market is in real time.
✅ Works with any timeframe: While designed for daily ranges, you can monitor intraday movements with this context in mind.
⚠️ Usage Note:
This tool does not provide buy or sell signals by itself. It is designed to complement your existing strategies by offering additional context regarding daily range exhaustion.
Adaptive Multi-MA OptimizerAdaptive Multi-MA Optimizer
This indicator provides a powerful, customizable solution for traders seeking dynamically optimized moving averages with precision and control. It integrates multiple custom-built moving average types, applies real-time volatility-based optimization, and includes an optional composite smoothing engine.
🧠 Key Features
Dynamic Optimization:
Automatically selects the optimal lookback length based on market volatility stability using a custom standard deviation differential model.
Multiple Custom MA Types:
Includes fully custom implementations of:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume Weighted MA)
DEMA (Double EMA)
TEMA (Triple EMA)
Hull MA
ALMA (Arnaud Legoux MA)
Composite MA Option:
A unique "Composite" mode blends all supported MAs into a single average, then applies optional smoothing for enhanced signal clarity.
Dynamic Smoothing:
The composite mode supports volatility-adjusted smoothing (based on optimized lookback), making it adaptable to different market regimes.
Fully Custom Logic:
No built-in MA functions are used — every moving average is hand-coded for transparency and educational value.
⚙️ How It Works
Optimization:
The script evaluates a range of lengths (minLen to maxLen) using the standard deviation of price returns. It selects the length with the most stable recent volatility profile.
Calculation:
The selected MA type is calculated using that optimized length. If "Composite" is chosen, all MA types are averaged and smoothed dynamically.
Visualization:
The adaptive MA is plotted on the chart, changing color based on its position relative to price.
📌 Use Cases
Trend-following strategies that adapt to different market conditions.
Traders wanting a high-fidelity composite of multiple MAs.
Analysts interested in visualizing market smoothness without lag-heavy signals.
Coders looking to learn how to build custom indicators from scratch.
🧪 Inputs
MA Type: Choose from 8 MA types or a blended Composite.
Lookback Range: Control min/max and step size for optimization.
Source: Choose any price series (e.g., close, hl2).
⚠️ Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice, trading advice, or investment recommendations. Use of this script is at your own risk. Past performance does not guarantee future results. Always perform your own analysis and consult with a qualified financial advisor before making trading decisions.
AI Momentum Cloud v6 📌 AI Momentum Cloud v6 – Strategy Overview & Logic
📊 Overview
The AI Momentum Cloud v6 strategy is a dynamic breakout system designed to identify directional moves when price escapes a volatility-defined “cloud” and is supported by momentum. The model combines a custom implementation of Kaufman's Adaptive Moving Average (KAMA) with MACD histogram momentum filtering and an ATR-based cloud envelope. It aims to detect actionable impulses while minimizing noise in ranging markets.
This strategy is suitable for:
* Intraday timeframes (15m, 1h)
* Stocks and crypto assets with trend potential (e.g., AAPL, TSLA, BTCUSD, SPY)
* Traders who want visual clarity and logic-driven risk
⚙️ Technical Logic
1. Trend Base – KAMA
A manually coded version of Kaufman's Adaptive Moving Average (KAMA) is used to adapt to market conditions. This indicator reacts quickly in trending markets but smooths out sideways chop.
2. Momentum Confirmation – MACD Histogram
Only trades in the direction of positive MACD histogram (for longs) or negative histogram (for shorts) are allowed. This avoids entering into fake breakouts without true momentum.
3. Cloud Envelope – ATR-Based Bands
The strategy draws two dynamic bands around KAMA using the Average True Range (ATR):
* Upper Band = KAMA + (ATR × Multiplier)
* Lower Band = KAMA − (ATR × Multiplier)
Price must break through these bands with momentum to qualify as a valid signal.
📥 Entry Conditions
📈 Long Entry:
* Price crosses above the upper cloud band
* Close is above KAMA
* MACD Histogram is positive
📉 Short Entry:
* Price crosses below the lower cloud band
* Close is below KAMA
* MACD Histogram is negative
These conditions ensure that trades align with both trend and momentum.
📤 Exit Conditions
Each trade is exited based on **adaptive volatility targets:
* Take Profit = Entry Price ± (ATR × TP Multiplier)
* Stop Loss = Entry Price ∓ (ATR × SL Multiplier)
No trailing stops or time exits are used, making this a clean 1-shot trade system per signal.
📐 Risk Management
* Default risk size is set to 1% of equity per trade via `strategy.percent_of_equity`
* Both TP and SL are dynamically adjusted to market volatility using ATR
* This protects against overreacting in low-volatility environments and underreacting in high-volatility zones
📊 Visual Features
*Orange KAMA line: Shows the adaptive trend center
*Green and Red Bands: Represent breakout thresholds
*Blue Cloud Fill: Visualizes volatility envelope
*Background Color: Green/red tint for momentum condition (MACD histogram > 0 or < 0)
These cues help manual traders validate live signals alongside the automated entries/exits.
⚠️ Disclaimer
> This strategy is intended for educational and research purposes only. It does not constitute financial advice, a recommendation to buy/sell any asset, or a guarantee of performance. Always backtest and forward-test strategies in a simulated environment before considering live use.
> The logic and risk settings should be tailored to the user’s own risk tolerance and market.
Dual HalfTrend Enhanced"Hello friends, this is a trend indicator,
I created this indicator inspired by HalfTrend.
"It's a very simple logic on how to trade in this. There are two types of trend periods in this, one small and one large. Whichever is the larger trend, that is our pro-trend. Now, we enter that trend when the pro-trend comes in the smaller trend. For example...
if the bigger trend is showing an uptrend, we will only look for buy signals. When the smaller trend also turns into an uptrend, we enter a buy trade.
the sell scenarios are the same.
Bollinger Bands Enhanced and Fibonacci TPThe "Bollinger Bands Enhanced with Anti-False Signal Filters and Fibonacci TP" is an advanced TradingView indicator designed to assist traders in identifying high-quality buy and sell signals in financial markets. This sophisticated tool integrates multiple analytical techniques to deliver precise and reliable trading signals.
Key Features
Signal Hierarchy:
Premium Signals (💎): These signals have the highest priority, based on a high score, volume confirmation, and double confirmation from indicators.
High-Quality Signals (🟢/🔴): These signals have high priority and are based on trend confirmation and significant volume.
SAR Signals (✓): These signals have medium priority and are used for trend confirmation and position adjustments.
Extreme Signals (⚡): These signals have low priority and are primarily used for scalping.
Technical Indicators:
Bollinger Bands: Used to identify support and resistance levels.
Parabolic SAR: Used to confirm trends and reversals.
Ichimoku Cloud: Provides an overview of the trend and support/resistance levels.
Linear Regression: Used to identify the trend and its strength.
Volume Analysis: Used to confirm signals and identify divergences.
Anti-False Signal Filters:
Volume Filter: Ensures signals are confirmed by sufficient volume.
Trend Filter: Uses EMA to confirm the trend.
RSI Filter: Avoids signals in overbought or oversold zones.
Risk Management:
Position Size: Recommends different position sizes based on the type of signal.
Risk/Reward Ratio: Recommends a minimum ratio of 1:2 for premium signals and 1:1.5 for others.
Maximum Simultaneous Positions: Recommends a maximum of 2-3 simultaneous positions.
Alerts and Notifications:
Premium Alerts: Notifies traders of premium signals with comprehensive details.
High-Quality Alerts: Notifies traders of high-quality signals.
Extreme Alerts: Notifies traders of extreme signals.
SAR Confirmations: Notifies traders of SAR confirmations.
Benefits for Traders
This indicator is particularly beneficial for traders looking to enhance the accuracy of their trading signals and reduce false signals. It provides a comprehensive market overview by combining multiple analytical techniques and using a signal hierarchy to prioritize trading opportunities. Traders can use this indicator to identify high-quality trading opportunities, confirm trends, and manage risk effectively.
Conclusion
The "Bollinger Bands Enhanced with Anti-False Signal Filters and Fibonacci TP" indicator is a powerful tool for traders seeking to improve their trading performance. It combines multiple analytical techniques to provide accurate and reliable signals and uses a signal hierarchy to prioritize trading opportunities. Traders can leverage this indicator to identify high-quality trading opportunities, confirm trends, and manage risk effectively.
Dynamic Laguerre Filter Bands | OttoThis indicator combines trend-following and volatility analysis by enhancing the traditional Laguerre filter with a dynamic, volatility-adjusted band system. Instead of using fixed thresholds, the bands adapt in real-time to changing market conditions by applying smoothed standard deviation calculations. This design keeps the indicator responsive to significant price movements while effectively filtering out short-term market noise, resulting in more accurate trend identification and breakout signals.
Core Concept
The indicator is built around the following key components:
Laguerre Filter:
The Laguerre filter is designed to smooth out price data by reducing market noise while still being quick enough to detect real changes in price direction. Its goal is to create a clear, smooth trend line that helps traders/investors focus on the overall market trend without getting distracted by small, random price swings.
It uses a parameter called gamma to control how it balances smoothness and responsiveness:
A lower gamma gives more weight to recent price data, making the filter react faster to new price changes. This means the trend line is more sensitive but may also be less smooth and more prone to small fluctuations.
A higher gamma gives more weight to past price data, making the filter smoother and less sensitive to quick changes. This helps reduce noise and produces a steadier trend line, but it also introduces more lag, meaning the filter reacts slower to new price moves.
By adjusting gamma, the Laguerre filter lets you choose the balance between following price changes quickly and having a stable, noise-free trend signal.
Standard Deviation:
shows how much price varies from the mean. In this indicator, it’s used to measure market volatility.
Volatility Bands: The upper and lower bands are based on an EMA-smoothed standard deviation of price. The EMA reduces sudden jumps in volatility, creating smoother and more stable bands that still respond to changing market conditions. These bands are plotted around the Laguerre filter line, expanding and contracting in a controlled way to stay aligned with real market movement while avoiding short-term noise.
Signal Logic:
A long signal is triggered when the close price crosses above the upper band.
A short signal occurs when the close price falls below the lower band.
⚙️ Inputs
Source: Price source used in calculations
Gamma: Adjusts how much the Laguerre filter responds to price changes. Lower gamma values make the filter react more to recent prices, while higher values give more influence to older data, making the line smoother but slower to respond.
Volatility Length: Period used to calculate standard deviation
Volatility Smoothing Length: EMA smoothing length for standard deviation
Multiplier: Scales the width of the bands based on volatility
📈 Visual Output
Laguerre Filter Line: Plots the laguerre filter line, colored dynamically based on signal direction (green for bullish, purple for bearish)
Upper & Lower Bands: Volatility-based bands that adjust with market conditions. (green for bullish, purple for bearish)
Glow Effect: Optional glow layer to enhance visibility of the laguerre filter trend line (green for bullish, purple for bearish)
Bar Coloring: Candlesticks and bar colors reflect the active signal state for fast visual interpretation (green for bullish, purple for bearish)
How to Use
Apply the indicator to your chart and monitor for signal events:
Long Signal: When price closes above the upper band
Short Signal: When price closes below the lower band
🔔 Alerts
This indicator supports optional alert conditions you can enable for:
Long Signal: Close price crossing above the upper band
Short Signal: Close price crossing below the lower band
⚠️ Disclaimer:
This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
VWAP Multi-Timeframe VWAP Multi-Timeframe - Complete Professional Indicator
🚀 WHAT IS IT?
The VWAP Multi-Timeframe is an advanced indicator that combines 5 different VWAP periods in a single tool, providing a complete view of market fair value levels across multiple time scales.
⭐ KEY FEATURES
📊 5 Configurable VWAPs:
🟡 Daily VWAP - Ideal for day trading and intraday operations
🟠 Weekly VWAP - Perfect for swing trading
🔵 Monthly VWAP - Excellent for medium-term analysis
🔴 Quarterly VWAP - Essential for quarterly strategies
🟢 Yearly VWAP - Fundamental for long-term investments
🎯 Multiple Price Sources:
Choose the source that best fits your strategy:
Close - Closing price (most common)
OHLC4 - Complete average (smoother)
HLC3 - Typical price (default)
HL2 - Period midpoint
Open/High/Low - Specific prices
💡 HOW TO USE
For Day Traders:
Use Daily VWAP as main fair value reference
Prices above = buying pressure / Prices below = selling pressure
For Swing Traders:
Combine Weekly and Monthly VWAP to identify trends
Look for confluences between different timeframes
For Investors:
Quarterly and Yearly VWAP show long-term value levels
Excellent for identifying entry points in investments
🔧 TECHNICAL FEATURES
✅ Pine Script v6 - Latest and optimized version
✅ Clean Interface - User-friendly design
Standard Deviation + Z-scoreThis indicator calculates the standard deviation of close prices over the last N periods, where N is a user-defined input. Three rays above and below the current price indicate three standard deviations. The summary in the top right corner shows the number of bars N, the mean value over the period, standard deviation as percentage and Z-score of the current price.
Trading in The Day 1h Ver1 [VNFlow]Trading in the Day 1h Ver1 :
This TradingView script combines multiple professional tools into one for short-term trend-following and intraday trade planning. It includes:
Auto-anchored AVWAPs for 1-day, 2-day, Week-to-Date (WTD), and Month-to-Date (MTD) levels.
A 5-day Moving Average (EMA or SMA) automatically adjusted based on timeframe and exchange hours.
Optional Pivot Points (support/resistance) with classic floor trader formulas.
High/Low of current and previous day as potential S/R zones.
Buy/Sell signal labels based on MA and AVWAP alignment (shows only the first of consecutive signals).
Clean visuals with toggle options to customize which elements are shown.
Perfect for traders using multi-timeframe confirmation, anchored VWAP, and classic support/resistance techniques.
Session Range ProjectionsSession Range Projections
Purpose & Concept:
Session Range Projections is a comprehensive trading tool that identifies and analyzes price ranges during user-defined time periods. The indicator visualizes high-probability reversal zones and profit targets by projecting Fibonacci levels from custom session ranges, making it ideal for traders who focus on time-based market structure analysis.
Key Features & Calculations:
1. Custom Time Range Analysis
- Define any time period for range calculation - from traditional sessions (Asian, London, NY) to custom periods like opening ranges, hourly ranges, or 4-hour blocks
- Automatically captures the highest and lowest prices within your specified timeframe
- Supports multiple timezone selections for global market analysis
- Flexible enough for intraday scalping ranges or longer-term swing trading setups
2. Premium & Discount Zones
- Automatically divides the range into premium (above 50%) and discount (below 50%) zones
- Visual differentiation helps identify institutional buying and selling areas
- Color-coded boxes clearly mark these critical price zones
3. Optimal Trade Entry (OTE) Zones
- Highlights the 79-89% retracement zone in premium territory
- Highlights the 11-21% retracement zone in discount territory
- These zones represent high-probability reversal areas based on institutional order flow concepts
4. Fibonacci Projections
- Projects 11 customizable Fibonacci extension levels from the range extremes
- Levels extend both above and below the range for symmetrical analysis
- Each level can be individually toggled and color-customized
- Default levels include common retracement ratios: -0.5, -1.0, -2.0, -2.33, -2.5, -3.0, -4.0, -4.5, -6.0, -7.0, -8.0
How to Use:
Set Your Time Range: Input your desired session start and end times (24-hour format)
Select Timezone: Choose the appropriate timezone for your trading session
Customize Display: Toggle various visual elements based on your preferences
Monitor Price Action: Watch for reactions at projected levels and OTE zones
Set Alerts: Configure sweep alerts for when price breaks above/below range extremes
Input Parameters Explained:
Time Range Settings
Range Start/End Hour & Minute: Define your analysis period
Time Zone: Ensure accurate session timing across different markets
Visual Settings
Range Box: Toggle the premium/discount zone visualization
Horizontal Lines: Customize high/low line appearance
Internal Range Levels: Show/hide equilibrium and OTE zones
Labels: Configure text display for key levels
Fibonacci Projections: Enable/disable extension levels
Display Settings
Historical Ranges: Show up to 10 previous session ranges
Alert Type: Choose between high sweep, low sweep, or both
Trading Applications:
Session-Based Trading: Analyze specific market sessions (Asian, London, New York, opening ranges, hourly ranges)
Reversal Trading: Identify high-probability reversal zones at OTE levels
Breakout/Reversal Trading: Monitor range breaks/reversals with built-in sweep alerts
Risk Management: Use Fibonacci projections as profit targets or rejection areas
Multi-Timeframe Analysis: Apply to any timeframe for various trading styles
Important Notes:
This indicator is for educational purposes only and should not be considered financial advice
Past performance does not guarantee future results
Always use proper risk management when trading
The indicator automatically manages historical data to maintain chart performance
Adaptive Normalized Global Liquidity OscillatorAdaptive Normalized Global Liquidity Oscillator
A dynamic, non-repainting oscillator built on real central bank balance sheet data. This tool visualizes global liquidity shifts by aggregating monetary asset flows from the world’s most influential central banks.
🔍 What This Script Does:
Aggregates Global Liquidity:
Includes Federal Reserve (FED) assets and subtracts liabilities like the Treasury General Account (TGA) and Reverse Repo Facility (RRP), combined with asset positions from the ECB, BOJ, PBC, BOE, and over 10 other central banks. All data is normalized into USD using FX rates.
Adaptive Normalization:
Optimizes the lookback period dynamically based on rate-of-change stability—no fixed lengths, enabling adaptation across macro conditions.
Self-Optimizing Weighting:
Applies inverse standard deviation to balance raw liquidity, smoothed momentum (HMA), and standardized deviation from the mean.
Percentile-Ranked Highlights:
Liquidity readings are ranked relative to history—extremes are visually emphasized using gradient color and adaptive transparency.
Non-Repainting Design:
Data is anchored with bar index awareness and offset techniques, ensuring no forward-looking bias. What you see is what was known at that time.
⚠️ Important Interpretation Note:
This is not a zero-centered oscillator like RSI or MACD. The signal line does not represent neutrality at zero.
Instead, a dynamic baseline is calculated using a rolling mean of scaled liquidity.
0 is irrelevant on its own—true directional signals come from crosses above or below this adaptive baseline.
Even negative values may signal strength if they are rising above the moving average of past liquidity conditions.
✅ What to Watch For:
Crossover Above Dynamic Baseline:
Indicates liquidity is expanding relative to recent conditions—supports a risk-on interpretation.
Crossover Below Dynamic Baseline:
Suggests deteriorating liquidity conditions—may align with risk-off shifts.
Percentile Extremes:
Readings near the top or bottom historical percentiles can act as contrarian or confirmation signals, depending on momentum.
⚙️ How It Works:
Bounded Normalization:
The final oscillator is passed through a tanh function, keeping values within and reducing distortion.
Adaptive Transparency:
The strength of deviations dynamically adjusts plot intensity—visually highlighting stronger liquidity shifts.
Fully Customizable:
Toggle which banks are included, adjust dynamic optimization ranges, and control visual display options for plot and background layers.
🧠 How to Use:
Trend Confirmation:
Sustained rises in the oscillator above baseline suggest underlying monetary support for asset prices.
Macro Turning Points:
Reversals or divergences, especially near OB/OS zones, can foreshadow broader risk regime changes.
Visual Context:
Use the dynamic baseline to see if liquidity is supportive or suppressive relative to its own adaptive history.
📌 Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always consult a qualified financial advisor before making trading or investment decisions.
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MACD-VWAP-BB IndicatorThe Scalping Rainbow MACD-VWAP-BB Indicator is a simple tool for beginners to scalp (make quick trades) on a 1-minute chart in TradingView. It helps you decide when to buy or sell assets like forex (EUR/USD), crypto (BTC/USD), or stocks by showing clear signals directly on the candlestick chart. Here’s how to use it for scalping, explained in the easiest way:
Setup: Open TradingView, choose a 1-minute chart for a liquid asset (e.g., EUR/USD). Copy the indicator code into the Pine Editor (bottom tab), click “Add to Chart.” You’ll see green triangle-up signals below candles for buying and red triangle-down signals above candles for selling.
Buy Signal (Green Triangle Up): When a green triangle appears below a candle, it means the MACD, VWAP, and Bollinger Bands all suggest the price may rise. Action: Buy immediately, aiming for a small profit (5-10 pips in forex, 0.1-0.5% in crypto/stocks). Set a stop-loss 2-5 pips below the recent low to limit losses.
Sell Signal (Red Triangle Down): A red triangle above a candle signals a potential price drop. Action: Sell or short the asset, targeting a quick profit. Set a stop-loss 2-5 pips above the recent high.
Scalping Tips: Trade during busy market hours (e.g., 5:30 PM–9:30 PM IST for forex). Exit trades within 1-5 minutes. Only risk 1-2% of your account per trade. Check for support/resistance levels or candlestick patterns to confirm signals.
Practice: Use a demo account to test the indicator. Stick to 3-5 trades per session to avoid overtrading. If signals are too frequent, adjust “Signal Delay” to 2 in settings.
This indicator simplifies scalping by combining three reliable tools into clear buy/sell signals, perfect for beginners.
Adaptive RSI Oscillator📌 Adaptive RSI Oscillator
This indicator transforms the classic RSI into a fully adaptive, self-optimizing oscillator — normalized between -1 and 1, dynamically smoothed, and enhanced with divergence detection.
🔧 Key Features
Self-Optimizing RSI: Automatically selects the optimal RSI lookback length based on return stability (no hardcoded periods).
Dynamic Smoothing: Adapts to market conditions using a fraction of the optimized length.
Normalized Output : Converts traditional RSI to a consistent scale across all assets and timeframes.
Divergence Detection: Compares RSI behavior vs. price percentile ranks and scales the signal accordingly.
Gradient Visualization: Color-coded background and plot lines reflect the strength and direction of the signal with soft transitions.
Neutral Zone Adaptation: Dynamically widens or narrows the zone of inaction based on volatility, reducing noise.
🎯 Use Cases
Identify extreme momentum zones without relying on fixed 70/30 RSI levels
Detect divergences early with adaptive filtering
Highlight potential exhaustion or continuation
⚠️ Disclaimer: This indicator is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Always conduct your own research and consult a licensed financial advisor before making investment decisions. Use at your own risk.