ATR/Structure Trail Stop Loss This indicator is a high-performance trend-following tool designed to help traders stay in winning positions for maximum "R" gains. It solves the common problem of getting stopped out too early by combining Volatility (ATR) with Market Structure (Price Action Swings).
How it Works
The script calculates two different stop-loss levels and automatically chooses the most "conservative" one to protect your capital:
ATR Stop: Measures the current market volatility. If the market gets wild, the stop widens. If the market gets calm, the stop tightens.
Structure Stop: Looks at the lowest lows (for Longs) or highest highs (for Shorts) of the last few candles. This ensures you don't stay in a trade if the actual price trend breaks.
Key Features
Hybrid Logic: The stop strictly follows Closing Prices to prevent "wick-outs" from temporary spikes.
Trend Dashboard: A real-time table tracks ADX (Trend Power).
"RUN IT": High momentum; keep trailing for 12R–30R targets.
"TIGHTEN": Momentum is dying; consider locking in profits.
Visual Diamonds: Uses a Step-Line style with diamonds to show exactly when your stop-loss "locks in" a new level.
How to Use It (Step-by-Step)
Entry: Enter your trade based on your standard breakout strategy.
Initial Risk: Use the Initial Stop (5 points) until the price moves in your favor.
The Trail: Once the trend establishes, follow the Light White Diamonds.
Scaling: Use the ATR Multiplier input to adjust the "breathing room."
Lower Multiplier (e.g., 1.5): Tighter trail, good for scalp targets.
Higher Multiplier (e.g., 2.5+): Wider trail, best for catching 30R monster moves.
Exit: Close the position immediately when a candle closes on the opposite side of the diamonds.
Indicadores y estrategias
RSI 40-60 with Candle Colouring gran longer time frames commodities , mag 7 stocks , US500 , BTC
Main things it does:Shows a standard RSI (default 14-period) in a separate panel below the chart The RSI line is colored light cyan/blue
Draws horizontal lines at these key levels:70 (overbought – red dashed)
60 (upper boundary – bright red solid)
50 (middle/neutral – gray dotted)
40 (lower boundary – green solid)
30 (oversold – lime dashed)
→ It puts extra visual emphasis on the 40–60 zone.
Colors the price candles on the main chart (even though the indicator itself is not overlaid):Green/teal when RSI is above 50
Red when RSI is 50 or below
What traders usually use it for:Quick visual trend/momentum filter
Green candles = bullish bias (RSI > 50)
Red candles = bearish bias (RSI ≤ 50)
The area between 40–60 is often seen as neutral / no strong direction
Very simple, clean momentum-based candle coloring tool focused around the 50 level with extra attention to the 40–60 range.
Moving Average Divergence BandsMoving Average Divergence Bands
Moving Average Divergence Bands (MADB) is a trend-following overlay indicator designed to capture fast-moving trends while filtering out low-quality signals. It was developed with highly volatile markets in mind, particularly altcoins, where rapid entries are important but false breakouts are common.
The indicator builds adaptive price bands using two moving averages of different speeds and applies a statistical filter to allow signals only when market conditions show sufficient momentum. The result is a structure that attempts to combine fast reaction with controlled signal quality.
🚀 Core Idea
The objective of MADB is to create bands that respond quickly to market moves while avoiding entries during low-probability conditions.
This is achieved by combining fast and slower moving averages and activating signals only when price movement shows statistically meaningful deviation from its recent norm. In this way, entries tend to occur during periods with higher potential reward and reduced noise.
🔍 How It Works
The indicator calculates two moving averages:
• A primary moving average using the chosen length
• A secondary moving average using half of that length
Both averages are mathematically combined using exponent-based transformations, producing two divergence-based values. The higher value becomes the upper band, and the lower value becomes the lower band.
To filter signals, the script then computes a Z-score of price relative to its recent average. A trend switch occurs only when:
• Price breaks above or below the adaptive band, and
• The absolute Z-score exceeds the user-defined threshold.
This ensures signals occur only when price movement is statistically significant, reducing entries during low-volatility noise.
⚙️ Key Features
• Fast trend-following bands optimized for volatile markets
• Dual moving-average divergence construction
• Z-score filtering to reduce false signals
• Multiple moving-average types supported
• Adjustable statistical sensitivity
• Visual band and trend coloring styles
🧩 Inputs Overview
• Moving-average length and source
• Moving-average type selection
• Z-score calculation length
• Z-score activation threshold
• Visual style presets for band coloring
📌 Usage Notes
• Designed to identify strong market moves while filtering weak breakouts.
• Particularly suited for volatile markets and altcoin trading environments.
• Band breaks without sufficient Z-score strength will not trigger signals.
• Signals may change intrabar on lower timeframes.
• Best used alongside risk management and confirmation tools.
• No indicator eliminates risk; testing and validation are always recommended.
This script is intended for analytical use only and does not constitute financial advice.
MACD Standard DeviationMACD Standard Deviation
The MACD Standard Deviation is a smoother, volatility-adjusted version of MACD designed to improve signal quality and reduce noise while preserving fast market responsiveness.
🚀 Benefits
• Strong performance on assets like BNBUSDT
• Faster entries with reduced signal noise
• Simple and efficient calculation method
• Improved trend clarity compared to classic MACD
💡 Core Idea
The objective is to create a cleaner MACD signal by measuring and adapting to its volatility. By accounting for dispersion, the indicator filters weak fluctuations and keeps meaningful momentum moves.
⚙️ How It Works
A standard MACD is calculated using selected moving averages.
Standard deviation of the MACD is computed over a chosen period.
Upper and lower dynamic levels are derived from MACD median and volatility.
These adaptive bands help filter false signals and better capture trend direction.
The result is a smoother, more stable MACD-based trend tool.
📌 Usage Notes
• Crosses around the zero line indicate potential trend shifts.
• Expanding band distance suggests rising momentum volatility.
• Contracting distance often signals consolidation phases.
• Histogram changes help visualize acceleration or weakening momentum.
Momentum Average [SWT]
Momentum Average (MMA)
What is the Momentum Average? This is not your typical trend follower. MMA Pro is an algorithmic convergence tool designed for traders who seek to filter market noise and trade with the true momentum on their side. Its core engine allows you to fuse the "DNA" of up to three different moving averages into a single, high-precision "Master Line."
🛠️ Key Tool Benefits
Data Convergence: By averaging up to three different MA types (EMA, SMA, WMA, VWMA, etc.), the indicator eliminates the erratic signals of individual averages, offering a smoothed curve that reacts primarily to institutional movements.
Volatility Visualization (Cloud): Thanks to the "Trend Cloud" between the two primary averages, you can immediately visualize price expansion and contraction.
Visual Confirmation (Pivot Dots): Identify the exact candle where the market slope shifts, ensuring you stay on the right side of the trend.
⚠️ Usage Philosophy: A Confirmation Tool, Not a Signal Generator
It is vital to understand that MMA Pro is not a "blind signal" tool. It is not designed to be traded every time a dot appears. Its true power lies in serving as a high-quality filter and confirmation layer:
Bias Validation: Use it to confirm the direction of your primary strategy. If your system gives a "Buy," the MMA Pro should ideally show bullish momentum.
Entry Filtering: Avoid entries during "chop" or sideways markets when the "Master Line" is flat or pivot dots are frequently flipping.
Exit Management: Many traders use it as a visual Trailing Stop; if the slope changes against your position, it may be time to protect profits.
💡 User Tips:
Nasdaq 1m/5m: Try combining an EMA with a VWMA to capture intraday volume averaged with price action.
Aesthetics: Customize the "Pivot Dots" colors to match your chart theme (Light/Dark).
Weighted Volume ROC OscillatorWeighted Volume ROC Oscillator (WVRO | MisinkoMaster)
The Weighted Volume ROC Oscillator is a sophisticated trend-following tool that leverages a volume-weighted Rate of Change (ROC) calculation on a double-smoothed source. Designed to capture both trend direction and strength with minimal noise, this oscillator also highlights potential reversal points, making it an effective tool for fast-moving markets like ETHUSD.
By combining volume weighting with advanced smoothing techniques, the WVRO provides a responsive yet stable indicator to help traders make more informed decisions during trending conditions.
🔍 Concept & Idea
The core idea behind the WVRO is to develop a high-speed oscillator capable of smoothly following trends while remaining sensitive to rapid changes. The ROC is a natural choice for momentum measurement, but raw ROC alone can be noisy.
To improve stability and responsiveness:
The input source is smoothed twice using Weighted Moving Averages (WMA) with a length proportional to the square root of the user-defined length, reducing noise while preserving fast reactions.
The ROC is then weighted by volume to emphasize price movements during high-volume periods, increasing the significance of meaningful trades.
Finally, a volume-weighted average of the ROC is calculated to normalize the signal.
This combination balances smoothness and speed, improving signal clarity in trending markets.
⚙️ How It Works
Double WMA Smoothing of Source:
First, apply a WMA with length √len to the selected source to filter noise but retain responsiveness.
Apply a second WMA with the same length to the first smoothed series for additional smoothing.
Volume-Weighted ROC Calculation:
Calculate ROC on the double-smoothed source over one bar.
Multiply the ROC by the current volume, weighting price changes by trading activity.
Normalization and Oscillator Computation:
Calculate an Exponential Moving Average (EMA) of the volume-weighted ROC over the full length.
Divide by the sum of volume over the same length to normalize, then scale to a range centered near zero.
Trend Logic:
Positive WVRO values indicate bullish momentum (trend up).
Negative values indicate bearish momentum (trend down).
Momentum Divergence:
The difference between the current WVRO and its prior value is smoothed with EMA and plotted as a histogram to help identify potential momentum shifts and reversals.
🧩 Inputs Overview
Oscillator Length – Controls the main smoothing and lookback length of the oscillator (default 17).
Source – The price source used for calculation, defaulting to the average of high, low, close, and close (hlcc4).
📌 Usage Notes
Responsive Yet Smooth: The double WMA smoothing ensures the oscillator is less prone to noise but remains quick to react to market changes.
Volume Weighting: Emphasizes price moves on higher volume bars, improving signal reliability in volatile markets.
Trend Identification: Positive and negative readings provide clear trend signals, while divergence histograms highlight potential turning points.
Visual Clarity: Color-coded plots and background highlighting assist quick interpretation.
Optimized for ETHUSD: Especially effective in high-liquidity, high-volatility assets like Ethereum.
Complement with Other Tools: Use alongside price action or other indicators to confirm trends and entry/exit points.
Backtest and Validate: Always validate settings on your chosen asset and timeframe before live use.
⚠️ Disclaimer
This indicator is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform due diligence before trading.
Enjoy enhanced trend following with the Weighted Volume ROC Oscillator!
Swing FlowSwing Flow is a market structure indicator designed to identify and trade with the prevailing trend by tracking swing highs and swing lows. Based on the principle that markets trending higher print higher highs and higher lows while markets trending lower print lower highs and lower lows, the indicator automatically detects these pivot points and classifies the current structure as Bullish, Bearish, Contracting, or Expanding. When structure is confirmed bullish, the indicator calculates an invalidation level set 2% below the most recent higher low, providing a logical stop placement where the bullish thesis would be negated if price trades through it.
A key feature is the Early Warning System, which alerts traders when price breaks above a prior swing high or below a prior swing low before the new pivot is officially confirmed. Because pivot detection requires several bars of confirmation, this early warning gives traders advance notice that structure may be shifting, allowing earlier entries with defined risk rather than waiting for lagging confirmation. When the early warning is active, the indicator displays the potential invalidation level and calculates the risk percentage from current price, helping traders assess whether the reward-to-risk ratio justifies an entry.
The indicator marks CME gold open times with vertical lines, highlighting the 6 PM ET session opens that often bring increased liquidity and directional moves. Sunday opens are marked with thicker yellow lines to distinguish the weekly open from regular daily session opens. This feature is particularly useful for gold traders using PAXG as a crypto proxy or GLD in traditional brokerage accounts, though the indicator works on any asset with swing structure.
The info table displays comprehensive market data including the current structure state, early warning status, last confirmed swing high and low with color coding to indicate whether each was higher or lower than its predecessor, the invalidation level and risk percentage, and buy zone status which activates when price approaches the higher low in bullish structure. Technical indicators include RSI with 5-zone color coding from oversold to overbought, ADX for trend strength, and directional movement indicators showing whether bulls or bears are dominant.
Open interest analysis provides insight into positioning and leverage in crypto markets, displaying OI score with conviction levels, sentiment classification based on OI and price movement relationships, buildup risk assessment combining OI elevation with ATR compression, and leverage pressure scoring that synthesizes multiple factors into a single actionable metric. The final row shows 1-hour and daily 24-period EMAs with green or red backgrounds indicating whether price is above or below each level, providing quick trend confirmation across timeframes.
The scoring bars at the top and bottom of the chart offer at-a-glance momentum and direction assessment. The RSI bar at top uses a 5-zone color scheme progressing from dark green in oversold territory through lime, white at neutral, pink, and maroon in overbought territory. The Directional bar at bottom combines the directional movement reading with ADX strength, displaying green tones when the bullish DI is dominant and red tones when bearish DI leads, with color intensity increasing as ADX indicates stronger trending conditions.
Swing Flow is designed for traders who want to align with market structure rather than fight it, entering positions near logical support levels with predefined invalidation points that keep losses small when wrong while allowing profits to run when the structure thesis proves correct. The combination of structure detection, early warning alerts, comprehensive market data, and visual scoring bars provides everything needed to identify high-probability setups and manage risk effectively.
Combined Advanced Blueprint + Hybrid Stop + GravityCombined Advanced Blueprint + Hybrid Stop + Gravity
Overview
This indicator is a comprehensive "Swiss Army Knife" trading system that combines the classic Traders Reality Blueprint (Moving Averages & Vector Zones) with advanced institutional volume detection (Gravity Squeeze & Sharks) and a Hybrid Trailing Stop for trade management.
It is designed to identify institutional footprints, trend direction, supply/demand zones, and volatility contractions in a single, all-in-one overlay.
🚀 Key Features
1. Gravity Squeeze & Shark Detection (Institutional Volume)
This module detects anomalies in volume and price action to identify where "Smart Money" is stepping in.
Shark Icons (🦈): Appear when the Negative Volume Index (NVI) detects significant accumulation during low volatility periods. This often signals a "defense" of a price level by institutions.
Shark Support (Blood) Zones: When a Shark is detected, a red box is drawn from the low of the candle. This represents an institutional "line in the sand." If price closes below this box, the zone is invalidated (broken).
Gravity Squeeze (⚡): Indicates a contraction in volatility (ATR compression), suggesting an explosive move is imminent.
Coils (🌀) & Hammers (🔨): Identifies specific price action patterns occurring on high relative volume.
2. The Blueprint Moving Averages
Includes the standard Traders Reality moving average sequence to identify trend state and dynamic support/resistance.
Red (8 EMA): Immediate trend.
White (21 EMA): Short-term trend (The "Baseline").
Blue (34 EMA): Trend confirmation.
Indigo (55 EMA) & Purple (89 EMA): Mid-term trend.
Orange (50 SMA) & Dark Orange (200 SMA): Major institutional levels (Golden/Death Cross).
Visual Crossovers: Arrows and shapes appear for 8/21 crosses, 8/34 crosses, and the 50/200 cross.
3. PVSRA (Price Volume Support Resistance Analysis)
Colors trade bars based on volume relative to the average, highlighting hidden liquidity.
Green/Red Bars: Volume is ≥ 200% of the average. (Climax action).
Blue/Violet Bars: Volume is ≥ 150% of the average.
Grey Bars: Average/Low volume.
Vector Zones: Automatically plots zones based on these high-volume candles to show where significant business was transacted.
4. Hybrid Trailing Stop
A volatility-based stop-loss system designed to keep you in the trend longer.
Calculation: Uses a combination of ATR (Average True Range) and manually input Implied Volatility (IV) to calculate a safe distance from price.
Visual: A Fuchsia line that trails behind price. When price closes across this line, the trend structure is considered broken.
5. Inflection Zones (Supply & Demand)
Auto-Drawing: Identifies Swing Highs and Swing Lows to draw Supply (Blue) and Demand (Red) boxes.
BOS (Break of Structure): When price breaks through a zone, the box is removed or converted, helping keep the chart clean.
6. Pivot Points & VWAP
Pivots: Displays multitimeframe pivots (Daily, Weekly, Monthly, etc.) including Traditional, Fibonacci, and Camarilla calculations.
VWAP: Includes Standard Deviation bands (1, 2, and 3 SD) anchored to Session, Week, Month, or even Earnings/Splits.
7. Keltner Channels & RSI Triggers
Entry Signals: Plots circles on the chart when RSI enters extreme zones (Overbought/Oversold) while price is interacting with the Keltner Channel bands.
🛠 Settings & Configuration
Gravity Squeeze & Sharks
Enable: Toggle the overlay on/off.
Min Volume: Set the threshold for volume analysis (Default: 300k).
Max ADX: Filters out signals if the trend is already too exhausted.
Inflection Zones
Swing Length: Sensitivity of the swing high/low detection.
History to Keep: How many historic zones to display before deleting old ones.
Pivot Levels
Timeframe: Auto-selects based on your chart, or force specific timeframes (e.g., Daily Pivots on a 15m chart).
Type: Choose between Traditional, Fibonacci, Woodie, etc.
Trailing Stop
Multiplier: Adjust how "loose" or "tight" the stop is (Default: 1.5 ATR).
IV %: Manually input the annual Implied Volatility for the asset for higher precision.
🎯 How to Trade (Strategy Ideas)
1. The Shark Defense:
Look for a Shark Icon (🦈).
Watch the red "Blood" box form.
Long Entry: If price retests the box and holds (does not close below it), this is a high-probability buy zone.
Stop Loss: A candle close below the red box.
2. The 8/21 & 8/34 Cross:
Use the Arrows generated by the moving averages.
Combine with Vector Candles: If you get a Bullish Cross (Up Arrow) immediately following a Green/Blue vector candle, the move is supported by volume.
3. The Squeeze Breakout:
Look for the Squeeze Icon (⚡) indicating low volatility.
Wait for the Hybrid Trailing Stop line to flip (e.g., price crosses above the Fuchsia line) to confirm the breakout direction.
Alerts
The script includes built-in alert conditions for automation:
8/21 Bullish/Bearish Cross
8/34 Bullish/Bearish Cross
Credits:
Core logic based on Traders Reality (Blueprint/PVSRA).
Gravity logic adapted from standard institutional volume analysis.
Compiled & Enhanced by Gemini.
MA Smart SyncMA Smart Sync determines the market bias by evaluating the price position relative to a moving average channel on four independent timeframes and returning a confluence signal when a configurable number of them agree.
Unlike standard MTF trend indicators that rely on EMA crossovers or slope direction, this script builds a channel around each timeframe and classifies price into three discrete zones: above, below, or inside. The "inside" state acts as a neutral filter, preventing false confluence signals during consolidation — a key distinction from binary up/down dashboards.
The channel itself can be constructed using five different methods selectable from a single input: High/Low MA (separate MAs applied to high and low), Close ± ATR, Close ± Standard Deviation, Close ± percentage offset, or classic Bollinger Bands. All five use the same MA type and length inputs, making it straightforward to compare how different volatility envelopes behave on the same instrument without rebuilding the indicator.
How to use:
— Set four timeframes matching your trading plan (defaults: 15m, 1h, 4h, D).
— Choose the channel method that fits your instrument's volatility profile. ATR-based channels adapt well to forex; StdDev and Bollinger suit equities and indices.
— Set "Minimum Confluence" to 3 or 4. A value of 4 means all timeframes must agree before a signal fires.
— The background color and arrow labels update only when bias changes, keeping the chart clean.
— Use the status table (top-right) to monitor each timeframe independently and identify which TFs are lagging.
Multiple Factor Adaptive MA SuperTrendMultiple Factor Adaptive MA SuperTrend
Multiple Factor Adaptive MA SuperTrend is an enhanced trend-following overlay that builds on the classical SuperTrend concept by introducing an adaptive moving-average base. The indicator dynamically adjusts to changing market conditions to produce smoother and faster trend signals, helping traders better track directional moves while reducing unnecessary noise.
Instead of relying on a fixed moving-average base, the indicator updates its baseline only when market conditions justify it. This creates a stabilizing effect during consolidation while allowing quicker reactions when volatility, momentum, or activity increases.
🔍 How It Works
The indicator combines:
• A user-selectable Moving Average as the core trend base
• ATR-based volatility bands to detect trend transitions
• An adaptive filter that determines when the base should update
The adaptive mechanism evaluates market conditions using one of several selectable drivers:
• ATR expansion (volatility increase)
• Rate-of-change acceleration
• Rising trading volume
• Increasing divergence between price and the moving average
If the chosen condition signals increased activity or market change, the moving-average base updates normally. Otherwise, the previous base value is retained, effectively smoothing the trend structure and filtering minor fluctuations.
Volatility bands are then calculated around this adaptive base using ATR multiplied by a configurable factor. Trend changes occur when price crosses these bands.
When price breaks above the upper band, a bullish trend is activated and the lower band becomes the trailing support. When price breaks below the lower band, a bearish trend is activated and the upper band acts as trailing resistance.
⚙️ Key Features
• Adaptive moving-average baseline
• Multiple MA types including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and EWMA
• ATR-based volatility bands
• Multiple adaptation modes (volatility, momentum, volume, divergence)
• Reduced noise during consolidation phases
• Smooth trend visualization and transition markers
🧩 Inputs Overview
• Moving-average type and length
• Price source selection
• ATR length and multiplier
• Adaptive filter method selection
📌 Usage Notes
• Useful for identifying prevailing market direction and trend shifts.
• Adaptive filtering can help reduce false signals during sideways markets.
• Signals may update intrabar on lower timeframes.
• Best results are achieved when combined with confirmation tools or risk management rules.
• This script is intended for analytical purposes and does not provide financial advice.
Xetra Auctions Breakout [Box Strategy]This indicator implements the institutional Xetra Opening & Intraday Auction strategy, widely used by professional traders on the DAX (GER40) and European equities. It automatically identifies the High/Low ranges of the critical auction periods on the Frankfurt Stock Exchange and extends these levels throughout the day to serve as key support/resistance zones.
Strategy Concept: How it Works
The German Xetra exchange has two critical liquidity events each day where institutional volume is highest:
Opening Auction (08:50 – 09:00 CET): This pre-market period sets the tone for the day. The range formed here often acts as a definitive barrier. A breakout above this box suggests bullish institutional flow, while a break below suggests bearish sentiment.
Intraday Auction (13:00 – 13:02 CET): A mid-day liquidity injection that often triggers volatility before the US market open.
This indicator visualizes these ranges as boxes. The logic is simple: Institutions leave their footprints during auctions. We trade the reaction to these footprints.
How to Trade (Best Practices)
1. The Breakout Setup (Trend Following)
Long Entry: Wait for a 5-minute or 15-minute candle to close above the Blue Box (Opening Auction).
Short Entry: Wait for a candle close below the Blue Box.
Stop Loss: Place your stop at the opposite side of the box or at the Mid-Line (50% of the box) for tighter risk management.
2. The Reversal Setup (Range Bound)
If the price approaches the Orange Box (Intraday Auction) extended lines and shows rejection (wicks), it often acts as strong support/resistance for a reversal trade back toward the daily average.
3. "Ghost" Levels (Previous Day)
The indicator displays yesterday's auction levels as semi-transparent "ghost" boxes.
Use Case: Yesterday’s auction High is often today’s key Support. Watch for price reactions at these historical levels.
Disclaimer
This tool is for educational purposes. Trading indices involves risk. Always backtest strategies before using real capital.
Adaptive For LoopAdaptive For Loop (AFL | MisinkoMaster)
The Adaptive For Loop is an innovative trend-following indicator designed to deliver fast and reliable signals while minimizing false positives. By dynamically assessing the relationship between current and historical price data across multiple price components—open, high, low, and close—this tool filters out noise and highlights the strongest trend signals.
Unlike traditional indicators that rely on a single price input, Adaptive For Loop harnesses the combined strength of multiple price points, intelligently selecting the most relevant signal to adapt to changing market conditions. This approach helps traders identify genuine trend momentum with clarity and speed.
🔍 Concept & Idea
The idea behind Adaptive For Loop is to improve trend detection by simultaneously evaluating multiple price sources instead of just one. Each price component (open, high, low, close) undergoes a scoring process comparing the current price to a series of historical prices within a user-defined lookback range.
Since different price points may exhibit varying degrees of noise or trend clarity at different times, the indicator selects the source with the strongest directional signal based on absolute scoring. This adaptive selection reduces noise and enhances signal reliability while maintaining fast responsiveness.
⚙️ How It Works
The indicator performs a looped comparison for each price series (open, high, low, close) over a range specified by the user (from start to end bars ago).
For each bar in the range, it increments or decrements a score depending on whether the current price is higher or lower than the compared historical price.
After scoring all four price sources, the indicator selects the score with the greatest absolute value to represent the dominant market momentum.
This dominant score is then evaluated against user-defined upper and lower thresholds to determine the market trend state:
Above the upper threshold: bullish/uptrend signal
Below the lower threshold: bearish/downtrend signal
Between thresholds: neutral/no clear trend
The indicator plots the score, thresholds, and highlights the trend visually, including colored candlesticks representing the detected trend.
🧩 Inputs Overview
From (start) – Defines the start bar offset for the lookback range in the for loop (default 0).
To (end) – Defines the end bar offset for the lookback range in the for loop (default 45).
Upper Threshold – Score level above which an uptrend signal is triggered (default 39).
Lower Threshold – Score level below which a downtrend signal is triggered (default -12).
📌 Usage Notes
Adaptive Selection: The indicator adapts by selecting the price source with the strongest trend signal, reducing false signals caused by noisy individual price inputs.
Speed and Noise: Designed for fast execution and minimal noise, making it especially useful in volatile markets such as BTCUSD.
Visual Clarity: Colored candlesticks and score plots help traders quickly identify trend direction and strength.
Customization: Users can adjust the lookback range and thresholds to fit different assets and timeframes.
Complementary Tool: Best used alongside other confirmation indicators and sound risk management practices.
Backtesting Recommended: Always backtest and validate settings on historical data to optimize performance for your specific market.
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform their own due diligence before making any investment decisions.
Enjoy trading with Adaptive For Loop!
Momentum RSIMomentum RSI (MRSI | MisinkoMaster)
Momentum RSI is an enhanced version of the classic Relative Strength Index (RSI) developed by J. Welles Wilder. This indicator integrates momentum components directly into the RSI calculation, resulting in a faster, smoother oscillator that helps traders identify trend strength and value zones with greater precision.
Unlike the traditional RSI, which relies on a fixed smoothing approach, the Momentum RSI dynamically incorporates momentum derived from differences between moving averages of RSI values over different lookback periods. This improves signal responsiveness while reducing noise, providing clearer insights for both trend-following and mean-reversion trading strategies.
🔍 Concept & Idea
Momentum RSI aims to improve the original RSI by adding momentum elements that speed up its reaction to price changes without sacrificing smoothness. This hybrid approach helps:
Capture early signals in trending markets
Reduce false signals during sideways or choppy conditions
Highlight overbought and oversold zones more effectively
Provide additional momentum context for more informed trading decisions
By combining RSI with momentum derived from moving average differences, the indicator balances sensitivity and stability for a versatile application across different asset classes and timeframes.
⚙️ How It Works
The Momentum RSI calculation involves several key steps:
Standard RSI Calculation:
The indicator first calculates the classic RSI using user-defined length and smoothing parameters. Users can customize the RSI source price and the smoothing moving average (MA) type applied (options include RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA).
Momentum Derivation:
Two versions of the RSI are computed with different smoothing lengths—a base RSI and a longer smoothed RSI. The difference between their moving averages represents a momentum component that measures the short-term trend strength.
Additional Momentum:
The difference between shorter-length and longer-length RSI calculations adds another momentum layer, reflecting momentum shifts over different timescales.
Momentum Integration:
These momentum components are combined and added to the previous RSI value, resulting in a momentum-enhanced RSI value (mrsi) that oscillates between 0 and 100.
Trend Detection:
Customizable upper and lower thresholds define long and short signal zones, allowing users to interpret when the market is trending bullish or bearish.
Overbought/Oversold Zones:
Additional thresholds highlight extreme value zones for potential mean-reversion trades.
🧩 Inputs Overview
RSI Length - Controls the primary RSI calculation length (default 20).
Source - Selects the price source for the RSI calculation (default: close).
Smoothing Length - Length used to smooth RSI values with the chosen MA type (default 12).
MA Type - Moving average method used for smoothing (options: RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA).
ALMA Offset - Offset parameter for ALMA smoothing (applicable only if ALMA is selected).
ALMA Sigma - Sigma parameter for ALMA smoothing (applicable only if ALMA is selected).
Upper Threshold - RSI level above which a bullish (long) signal is triggered (default 55).
Lower Threshold - RSI level below which a bearish (short) signal is triggered (default 45).
Overbought Threshold - RSI level indicating overbought conditions (default 85).
Oversold Threshold - RSI level indicating oversold conditions (default 15).
📌 Usage Notes
Versatile Application: Use Momentum RSI for both trend-following and mean-reversion strategies.
Signal Clarity: The momentum integration reduces noise, helping avoid false breakouts and improving entry timing.
Customization: Adjust smoothing lengths and MA types to match the characteristics of your trading style or the specific asset.
Visual Aids: Background colors, candle coloring, and shape markers facilitate quick interpretation of momentum strength and trend changes.
Threshold Sensitivity: Fine-tune thresholds to balance between early signals and signal reliability.
Intrabar Updates: Signals may update on lower timeframes for responsive trading.
Combine with Other Tools: For best results, use Momentum RSI alongside volume, price action, or other confirmation indicators.
Backtest Before Live Trading: Always validate settings on historical data to ensure suitability for your trading instrument and timeframe.
⚠️ Disclaimer
This script is intended for educational and analytical purposes only and does not constitute financial advice. Trading involves risk, and users should perform their own due diligence before making any trading decisions.
ICT Macros & Visual Risk CalculatorThis "all-in-one" indicator is specifically designed for ICT (Inner Circle Trader) methodology practitioners who trade high-volatility time windows (Macros). It combines automated visual identification of these sessions with an advanced risk calculator that dynamically draws position blocks (Long/Short) based on pips, ensuring fast and precise execution.
CANDLE STRUCTURE FILTER PRO by HeruprastCandle Structure Filter
CANDLE STRUCTURE FILTER PRO is a price-action-based indicator that filters trading signals using candle body strength, wick ratio, and EMA trend alignment. It only generates non-repainting BUY/SELL signals on strong candles with valid structure, aligned with the selected trend EMA, and confirmed by an EMA Gap Filter to avoid sideways or choppy market conditions.
Designed for scalping to intraday trading, especially effective on volatile instruments like XAUUSD, with automatic calibration based on timeframe and instrument characteristics.
Trading Command Center# Trading Command Center (TCC)
## 📊 All-In-One Confluence Trading System
**Stop guessing. Start confirming.**
The Trading Command Center combines the most essential technical analysis tools into a single, unified indicator with a real-time **Confluence Dashboard** that tells you when multiple signals align—giving you higher-probability trade setups.
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## 🎯 What Is Confluence Trading?
Professional traders don't rely on a single indicator. Studies show that **85% of professional traders use 2+ indicators** to confirm entries. Confluence trading means waiting for multiple independent signals to agree before taking action.
**One signal = noise. Multiple signals = conviction.**
This indicator does the heavy lifting by:
- Displaying all key technical levels on your chart
- Automatically scoring bullish vs bearish signals
- Alerting you when high-confluence setups appear
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## 📦 What's Included
### On-Chart Overlays
| Component | What It Shows |
|-----------|---------------|
| **EMAs (9, 21, 50, 200)** | Trend direction at multiple timeframes |
| **VWAP + Bands** | Institutional fair value & standard deviation levels |
| **Dynamic S/R Zones** | Auto-detected support/resistance with touch counts |
| **Auto Trendlines** | Connecting recent pivot highs and lows |
| **Volume Highlights** | Background shading when volume exceeds 1.5x average |
### Dashboard Analysis (Top Right Panel)
| Indicator | Dashboard Shows |
|-----------|-----------------|
| **EMA Stack** | Perfect/partial bullish or bearish alignment |
| **Price vs EMA 200** | Above/below with % distance |
| **Price vs VWAP** | Intraday institutional bias |
| **RSI (14)** | Value + overbought/oversold status |
| **MACD** | Bullish/bearish + momentum direction + crosses |
| **Volume** | Ratio vs 20-period average |
| **ATR** | Current volatility level |
| **Confluence Score** | Net score from -10 to +10 |
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## 🚦 How The Confluence Score Works
The system awards points for bullish and bearish conditions:
### Bullish Points
- Perfect EMA stack (9 > 21 > 50 > 200): **+2**
- Partial EMA alignment: **+1**
- Price above VWAP: **+1**
- RSI bullish (50-70): **+1**
- RSI oversold (<30): **+2** *(potential reversal)*
- MACD above signal: **+1**
- MACD rising momentum: **+1**
- MACD bullish cross: **+2**
- Above 200 EMA: **+1**
- High volume + green candle: **+1**
### Bearish Points
*(Mirror of above for bearish conditions)*
### Signal Interpretation
| Score | Meaning |
|-------|---------|
| **+5 to +10** | 🟢 STRONG BUY - Multiple confirmations aligned |
| **+2 to +4** | Bullish bias |
| **-1 to +1** | Neutral / Mixed signals |
| **-2 to -4** | Bearish bias |
| **-5 to -10** | 🔴 STRONG SELL - Multiple confirmations aligned |
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## 📈 How To Use This Indicator
### For Trend Following
1. Check the **EMA Stack** status in the dashboard
2. Confirm price is on the correct side of **VWAP**
3. Wait for **confluence score ≥ +3** (longs) or **≤ -3** (shorts)
4. Use S/R zones for entry/exit targets
### For Reversal Trading
1. Look for **RSI overbought/oversold** conditions
2. Watch for price at a **Dynamic S/R Zone**
3. Wait for **MACD cross** confirmation
4. Enter when confluence supports the reversal
### For Day Trading
1. Use **VWAP** as your primary bias (above = long bias, below = short bias)
2. Trade pullbacks to **EMA 9/21** in the direction of VWAP
3. Avoid entries when **ATR** shows "HIGH VOL" (choppy conditions)
4. Target the opposite **VWAP band** or nearest S/R zone
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## ⚙️ Recommended Settings
### Default (Works for most markets)
All settings are optimized out of the box for stocks, crypto, and forex on 5min-Daily charts.
### Scalping (1-5 min charts)
- Reduce Pivot Lookback to 5-7
- Reduce Zone Width to 0.3%
### Swing Trading (4H-Daily)
- Increase Pivot Lookback to 15-20
- Increase Zone Width to 0.8-1.0%
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## 🔔 Alerts Included
- **Strong Bullish Confluence** - Multiple indicators aligned bullish
- **Strong Bearish Confluence** - Multiple indicators aligned bearish
- **MACD Bullish/Bearish Cross** - Momentum shift
- **RSI Overbought/Oversold** - Extreme readings
- **Volume Spike** - Volume exceeds 2.5x average
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## 💡 Pro Tips
1. **Don't chase low-confluence setups** - Wait for score ≥ +3 or ≤ -3
2. **Respect the 200 EMA** - It defines the macro trend
3. **Volume confirms moves** - High volume signals are more reliable
4. **S/R zones with more touches are stronger** - Look for + touch counts
5. **MACD crosses near zero line are strongest** - Avoid extended readings
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## ⚠️ Important Notes
- **RSI, MACD, and ATR values are shown in the dashboard only** (not plotted separately). If you want the actual plots, add TradingView's built-in indicators alongside this one.
- **This is a tool, not a trading system** - Always use proper risk management
- **Past performance ≠ future results** - Confluence improves probability, not certainty
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## 🔧 Customization
All components can be toggled on/off:
- Show/hide EMAs, VWAP, S/R Zones, Trendlines
- Adjust all lengths and multipliers
- Change colors to match your chart theme
- Move dashboard position (all 4 corners)
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**Questions or suggestions?** Drop a comment below!
*If this indicator helps your trading, please leave a like/follow—it helps others find it too.*
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**Tags:** confluence, ema, vwap, rsi, macd, support resistance, trendlines, volume, atr, dashboard, all-in-one, trading system, beginner friendly
SMART TRADER Institutional Trend Engine (ITE)SMART TRADER – Institutional Trend Engine (ITE)
Created by Jonathan Mwendwa Ndunge, this indicator is designed for professional traders and institutions seeking a multi-timeframe trend confirmation system. It combines Donchian Channel-based trend analysis across higher, mid, and lower timeframes to provide a directional authority score, highlighting bullish and bearish execution zones. Built with price action and smart money concepts in mind, it helps traders identify high-probability trend-aligned opportunities while filtering out noise.
ISM Manufacturing PMIDescription
The ISM Manufacturing PMI (Purchasing Managers' Index) is a key economic indicator derived from monthly surveys of private sector companies. It provides insight into the health of the US manufacturing sector.
Above 50.0: Indicates Expansion.
Below 50.0: Indicates Contraction.
This script visualizes the ISM Manufacturing PMI using TradingView's available economic data (ECONOMICS:USBCOI), providing traders and analysts with a clear view of macroeconomic trends directly on their charts.
Key Features
Intuitive Visualization:
Dynamic Color Coding: The line turns Green during expansion (>50) and Red during contraction (<50).
Baseline Fill: Optional shading between the data line and the 50.0 baseline emphasizes the current economic state.
Histogram Mode: Toggle a histogram view to easily spot momentum shifts.
Customizable Data Source: Defaults to ECONOMICS:USBCOI but can be configured to use other tickers (e.g., FRED:NAPM) if preferred.
Smoothing: Built-in SMA, EMA, RMA, or WMA smoothing to filter out noise and see the longer-term trend.
Alerts: Set alerts for significant crossovers (Expansion/Contraction start) or extreme levels.
How to Use
Add to Chart: Apply the indicator to any chart. It works best on higher timeframes but pulls monthly data automatically.
Interpret the Trend:
Look for the line crossing the 50.0 level. A cross above suggests the manufacturing sector is growing (Bullish for economy). A cross below suggests slowing down or contraction (Bearish for economy).
Watch for extreme readings (above 60 or below 40) which often mark economic peaks or troughs.
Adjust Settings:
Style: Toggle the Line, Histogram, or Fill visibility in the settings.
Smoothing: If the raw data is too jagged, increase the "Smoothing Length" to 3 or 6 months.
Settings
PMI Ticker: Default is ECONOMICS:USBCOI.
Timeframe: Default is 1M (Monthly).
Show Line / Histogram: Toggle visualization modes.
Smoothing: Type and Length of the moving average applied to the data.
Colors: Customize the colors for Expansion (Grow), Contraction (Fall), and Neutral.
Indicator by: iCD_creator
Version: 1.0
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Updates & Support
For questions, suggestions, or bug reports, please comment below or message the author.
**Like this indicator? Leave a 👍 and share your feedback!**
TSM: Time-Series Momentum & Volatility Targeting [Moskowitz]TSM: Institutional Time-Series Momentum & Volatility Targeting (Moskowitz)
SUMMARY
TSM is a trend and risk-sizing indicator designed to convert price movement into a risk-adjusted regime signal and a single Recommended Exposure output. It addresses a common trend problem: direction can be correct while sizing is wrong during volatility expansions.
Recommended Exposure is a signed value where positive indicates bullish bias and negative indicates bearish bias. The magnitude reflects confidence after the volatility and quality filters are applied.
The engine combines volatility-scaled time-series momentum across multiple horizons with optional volatility targeting and an optional efficiency filter to reduce noise sensitivity and improve sizing discipline.
WHAT THIS INDICATOR GIVES YOU
A risk-adjusted momentum signal that is scaled by realized volatility rather than raw returns, so high-volatility noise is less likely to look like strong trend.
An optional volatility targeting layer that mechanically scales Recommended Exposure down when realized volatility rises and up when it falls, capped by Max Leverage.
An ensemble approach using fast, medium, and slow horizons with configurable weights, reducing dependence on a single lookback and lowering curve-fitting risk.
An optional R-squared efficiency filter that reduces exposure in choppy, low-quality trends, with a floor to avoid over-suppressing exposure.
Optional workflow features including a dashboard, trend cloud bands, threshold-based signals with cooldown, and alerts.
SCIENTIFIC FOUNDATION (PLAIN ENGLISH)
Time-Series Momentum (Moskowitz, Ooi, Pedersen 2012) describes the empirical tendency for an asset’s own past returns to predict its future returns in expectation, distinct from cross-sectional momentum which compares assets to each other.
Volatility clustering means markets alternate between calm and violent regimes; many traditional trend tools misread volatility shocks as sustainable trend. This indicator normalizes momentum by realized volatility to express trend significance relative to the regime.
Volatility targeting (Harvey et al. 2018) scales exposure inversely to realized volatility to stabilize risk. When volatility rises, recommended exposure is reduced mechanically; when volatility falls, exposure can increase, subject to a max leverage cap.
DATA AND SOURCES
This indicator uses only the chart symbol’s OHLC data. No external feeds, no COT libraries, and no third-party data sources are required.
It supports multi-timeframe calculation. You can compute the signal on the current chart timeframe, or use a fixed timeframe such as Daily to keep volatility math consistent when viewing intraday charts.
HOW THE ENGINE WORKS (HIGH LEVEL)
Step 1 estimates realized volatility from log returns over a chosen lookback. Step 2 computes a volatility-scaled momentum statistic for three horizons (fast, medium, slow) to measure how meaningful the move is relative to volatility. Step 3 clamps extreme values so outliers do not dominate. Step 4 combines the horizons into a weighted ensemble. Step 5 optionally applies an efficiency filter to reduce exposure in choppy trends. Step 6 optionally applies volatility targeting to scale exposure inversely with realized annualized volatility, capped by Max Leverage. The final output is Recommended Exposure as the combined result of direction, risk scaling, and quality filtering.
OUTPUTS AND HOW USERS SHOULD APPLY THEM
Recommended Exposure is the primary output. Positive values indicate bullish regime bias, negative values indicate bearish regime bias, and larger magnitude indicates higher risk-adjusted conviction after filters.
Typical use is as a position-sizing overlay: keep your own entry method and use Recommended Exposure to decide how aggressive or defensive sizing should be in the current regime.
Signals are optional and trigger when Recommended Exposure crosses user-defined thresholds. A cooldown reduces repeated triggers during consolidations, and direction can be restricted to long only, short only, or both.
The dashboard is optional and displays realized volatility versus target, ensemble momentum, the efficiency metric, the volatility scalar, the quality multiplier, and final Recommended Exposure, including the fast/medium/slow breakdown.
Trend cloud bands are optional and provide range context; they are not the signal and are intended as visual regime support.
SETTINGS GUIDE (WHAT MATTERS MOST)
Fixed Timeframe mode is recommended for consistent volatility math across chart timeframes; Current Chart mode is more sensitive to the displayed timeframe.
Momentum horizons control responsiveness versus stability. Shorter lookbacks react faster but whipsaw more; longer lookbacks are smoother but slower. Weights allow emphasizing fast responsiveness or slow regime confirmation.
Volatility targeting turns the tool into a sizing engine by scaling exposure inversely to realized volatility. Target annualized volatility sets the risk budget, and the annualization basis (365 vs 252) aligns conventions for crypto versus traditional markets. Max Leverage caps the scalar in very low-volatility regimes.
The efficiency filter reduces exposure in choppy conditions; the floor controls how harshly exposure is reduced. Threshold and cooldown control how selective discrete signals are.
LIMITATIONS (IMPORTANT FOR USERS)
This is a trend-following framework, so it will lag turning points by design. Sideways markets can still cause whipsaws; cooldown and the efficiency filter may reduce but cannot eliminate this. Volatility targeting can reduce drawdowns during volatility expansions but may reduce participation during sharp V-shaped reversals after volatility increases. The efficiency metric is a practical proxy for trend straightness and can misclassify certain price paths.
REFERENCES
Moskowitz, T. J., Ooi, Y. H., and Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104(2), 228-250.
Harvey, C. R., Rattray, S., Sinclair, A., and Van Hemert, O. (2018). The impact of volatility targeting. Journal of Portfolio Management, 45(1), 14-33.
Hurst, B., Ooi, Y. H., and Pedersen, L. H. (2017). A century of evidence on trend-following investing. Journal of Portfolio Management, 44(1), 15-29.
DISCLAIMER
Educational and informational purposes only. Not financial advice. Trading involves risk. Past performance is not indicative of future results.
CMO Checklist (MHM)CMO Checklist is a manual trading checklist indicator designed to help traders
confirm market conditions step by step.
This tool is fully manual and does NOT generate signals.
It is intended for discretionary traders who follow structured setups
such as ICT / CMO-style execution models.
Features:
• Clean and compact checklist table
• Manual check / uncheck via inputs
• Fixed position (top-right)
• No repaint
• Pine Script v6 compatible
This indicator does not generate trading signals.
It is a visual checklist only.
• Manual
• Checklist
• No signals
• Educational / Trading tool
MJ amd tableAsia, Londong and New york table showing each session what goes to happen depending on the movement of AMD
Chris_LEGODescription
Time-Anchored Volatility Grid is a precision analysis tool designed for traders who base their strategies on specific market events (e.g., London/New York Open, News Releases, or Daily Reset).
Unlike standard grid indicators that use arbitrary fixed distances, this tool allows you to "Anchor" the calculation to a specific historical candle. It then captures the market volatility of that exact moment to generate dynamic, context-aware grid levels.
🚀 Key Features
WYSIWYG Timezone Engine (What You See Is What You Get) Most Pine Script indicators struggle with timezone conversions. This version features a custom engine where you simply input the time you see on your chart (e.g., GMT+8). No more manual UTC conversions.
Automated Volatility Capture
Auto-Start Price: Automatically sets the grid origin based on the Low of your anchored candle.
Auto-Gap Calculation: Dynamically calculates the grid spacing based on the High-Low range of the target candle.
Bi-Directional Flexibility Toggle Long (upward) or Short (downward) grids independently. Perfect for hedging strategies or directional bias trading.
Gap Multiplier Fine-tune the grid density by applying a multiplier (e.g., 0.5 for tighter grids, 2.0 for wider swings) to the captured volatility.
Visual Debugging Includes an optional Anchor Line and detailed Data Labels to verify exactly which candle and price data are being used for your calculations.
How to Use
Set Your Anchor: In the settings, input the exact Year, Month, Day, and Time of the candle you want to reference (e.g., the 09:30 opening bell).
Sync Timezone: Ensure the User Timezone field matches the timezone displayed at the bottom right of your TradingView chart (e.g., America/New_York for US Stocks or GMT+8 for Asia).
Choose Logic:
Enable "Use Auto Start Price" to snap the grid to the candle's Low.
Enable "Use Auto Gap" to let the market's volatility define the grid size.
Customize: Adjust the Line Count and Colors to fit your chart theme.
