Trend Follower | jhThis is a trend following system that combines 3 indicators which provide different functionalities, also a concept conceived by VP's No Nonsense FX / NNFX method.
1. Baseline
The main baseline filter is an indicator called Modular Filter created by Alex Grover
- www.tradingview.com
- Alex Grover - Modular Filter
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That's the moving average like baseline following price, filtering long and short trends and providing entry signals when the price crosses the baseline.
Entry signal indicated with arrows.
2. Volume/Volatility, I will called it Trend Strength
The next indicator is commonly known as ASH, Absolute Strength Histogram.
This indicator was shared by VP as a two line cross trend confirmation indicator, however I discovered an interesting property when I modified the calculation of the histogram.
- Alex Grover Absolute Strength
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My modification and other info here
- Absolute Strength Histogram v2
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I simplified the display of the trend strength by plotting squares at the bottom of the chart.
- Lighted Squares shows strength
- Dimmed Squares shows weakness
3. Second Confirmation / Exits / Trailing Stop
Finally the last indicator is my usage of QQE (Qualitative Quantitative Estimation), demonstrated in my QQE Trailing Line Indicator
- QQE Trailing Line for Trailing Stop
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Three usages of this amazing indicator, serving as :
- Second trend confirmation
- Exit signal when price crosses the trailing line
- Trailing stop when you scaled out the second trade
This indicator is plotted with crosses.
Additional plots and information
Bar Color
- Green for longs, Red for shorts, White when the baseline direction conflicts with the QQE trailing line direction
- When it's white, it's usually ranging and not trending, ASH will also keep you off ranging periods.
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ATR Filter
- White circles along the baseline, they will show up if the price has moved more than one ATR from the baseline
- The default allowance is 1 ATR.
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The previous and current ATR value
- Label on the right side of the chart showing the previous and current value of ATR
Adding my Didi and ASH indicators up on this screenshot
Didi Index Improved with QQE
Cari dalam skrip untuk "trend"
HMA-Kahlman Trend & TrendlinesThis script utilizes two modules, Trendlines module (by Joris Duyck) and HMA-Kahlman Trend module. Trendlines module produces crossovers predictive of the next local trend.
Ornstein-Uhlenbeck Trend Channel [BOSWaves]Ornstein-Uhlenbeck Trend Channel - Adaptive Mean Reversion with Dynamic Equilibrium Geometry
Overview
The Ornstein-Uhlenbeck Trend Channel introduces an advanced equilibrium-mapping framework that blends statistical mean reversion with adaptive trend geometry. Traditional channels and regression bands react linearly to volatility, often failing to capture the natural rhythm of price equilibrium. This model evolves that concept through a dynamic reversion engine, where equilibrium adapts continuously to volatility, trend slope, and structural bias - forming a living channel that bends, expands, and contracts in real time.
The result is a smooth, equilibrium-driven representation of market balance - not just trend direction. Instead of static bands or abrupt slope shifts, traders see fluid, volatility-aware motion that mirrors the natural pull-and-release dynamic of market behavior. Each channel visualizes the probabilistic boundaries of fair value, showing where price tends to revert and where it accelerates away from its statistical mean.
Unlike conventional envelopes or Bollinger-type constructs, the Ornstein-Uhlenbeck framework is volatility-reactive and equilibrium-sensitive, providing traders with a contextual map of where price is likely to stabilize, extend, or exhaust.
Theoretical Foundation
The Ornstein-Uhlenbeck Trend Channel is inspired by stochastic mean-reversion processes - mathematical models used to describe systems that oscillate around a drifting equilibrium. While linear regression channels assume constant variance, financial markets operate under variable volatility and shifting equilibrium points. The OU process accounts for this by treating price as a mean-seeking motion governed by volatility and trend persistence.
At its core are three interacting components:
Equilibrium Mean (μ) : Represents the evolving balance point of price, adjusting to directional bias and volatility.
Reversion Rate (θ) : Defines how strongly price is pulled back toward equilibrium after deviation, capturing the self-correcting nature of market structure.
Volatility Coefficient (σ) : Controls how far and how quickly price can diverge from equilibrium before mean reversion pressure increases.
By embedding this stochastic model inside a volatility-adjusted framework, the system accurately scales across different markets and conditions - maintaining meaningful equilibrium geometry across crypto, forex, indices, or commodities. This design gives traders a mathematically grounded yet visually intuitive interpretation of dynamic balance in live market motion.
How It Works
The Ornstein-Uhlenbeck Trend Channel is constructed through a structured multi-stage process that merges stochastic logic with volatility mechanics:
Equilibrium Estimation Core : The indicator begins by identifying the evolving mean using adaptive smoothing influenced by trend direction and volatility. This becomes the live centerline - the statistical anchor around which price naturally oscillates.
Volatility Normalization Layer : ATR or rolling deviation is used to calculate volatility intensity. The output scales the channel width dynamically, ensuring that boundaries reflect current variance rather than static thresholds.
Directional Bias Engine : EMA slope and trend confirmation logic determine whether equilibrium should tilt upward or downward. This creates asymmetrical channel motion that bends with the prevailing trend rather than staying horizontal.
Channel Boundary Construction : Upper and lower bands are plotted at volatility-proportional distances from the mean. These envelopes form the “statistical pressure zones” that indicate where mean reversion or acceleration may occur.
Signal and Lifecycle Control : Channel breaches, mean crossovers, and slope flips mark statistically significant events - exhaustion, continuation, or rebalancing. Older equilibrium zones gradually fade, ensuring a clear, context-aware visual field.
Through these layers, the channel forms a continuously updating equilibrium corridor that adapts in real time - breathing with the market’s volatility and rhythm.
Interpretation
The Ornstein-Uhlenbeck Trend Channel reframes how traders interpret balance and momentum. Instead of viewing price as directional movement alone, it visualizes the constant tension between trending force and equilibrium pull.
Uptrend Phases : The equilibrium mean tilts upward, with price oscillating around or slightly above the midline. Upper band touches signal momentum extension; lower touches reflect healthy reversion.
Downtrend Phases : The mean slopes downward, with upper-band interactions marking resistance zones and lower bands acting as reversion boundaries.
Equilibrium Transitions : Flat mean sections indicate balance or distribution phases. Breaks from these neutral zones often precede directional expansion.
Overextension Events : When price closes beyond an outer boundary, it marks statistically significant disequilibrium - an early warning of exhaustion or volatility reset.
Visually, the OU channel translates volatility and equilibrium into structured geometry, giving traders a statistical lens on trend quality, reversion probability, and volatility stress points.
Strategy Integration
The Ornstein-Uhlenbeck Trend Channel integrates seamlessly into both mean-reversion and trend-continuation systems:
Trend Alignment : Use mean slope direction to confirm higher-timeframe bias before entering continuation setups.
Reversion Entries : Target rejections from outer bands when supported by volume or divergence, capturing snapbacks toward equilibrium.
Volatility Breakout Mapping : Monitor boundary expansions to identify transition from compression to expansion phases.
Liquidity Zone Confirmation : Combine with BOS or order-block indicators to validate structural zones against equilibrium positioning.
Momentum Filtering : Align with oscillators or volume profiles to isolate equilibrium-based pullbacks with statistical context.
Technical Implementation Details
Core Engine : Stochastic Ornstein-Uhlenbeck process for continuous mean recalibration.
Volatility Framework : ATR- and deviation-based scaling for dynamic channel expansion.
Directional Logic : EMA-slope driven bias for adaptive mean tilt.
Channel Composition : Independent upper and lower envelopes with smoothing and transparency control.
Signal Structure : Alerts for mean crossovers and boundary breaches.
Performance Profile : Lightweight, multi-timeframe compatible implementation optimized for real-time responsiveness.
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Reactive equilibrium tracking for short-term scalping and microstructure analysis.
15 - 60 min : Medium-range setups for volatility-phase transitions and intraday structure.
4H - Daily : Macro equilibrium mapping for identifying exhaustion, distribution, or reaccumulation zones.
Suggested Configuration:
Mean Length : 20 - 50
Volatility Multiplier : 1.5× - 2.5×
Reversion Sensitivity : 0.4 - 0.8
Smoothing : 2 - 5
Parameter tuning should reflect asset liquidity, volatility, and desired reversion frequency.
Performance Characteristics
High Effectiveness:
Trending environments with cyclical pullbacks and volatility oscillation.
Markets exhibiting consistent equilibrium-return behavior (indices, majors, high-cap crypto).
Reduced Effectiveness:
Low-volatility consolidations with minimal variance.
Random walk markets lacking definable equilibrium anchors.
Integration Guidelines
Confluence Framework : Pair with BOSWaves structural tools or momentum oscillators for context validation.
Directional Control : Follow mean slope alignment for directional conviction before acting on channel extremes.
Risk Calibration : Use outer band violations for controlled contrarian entries or trailing stop management.
Multi-Timeframe Synergy : Derive macro equilibrium zones on higher timeframes and refine entries on lower levels.
Disclaimer
The Ornstein-Uhlenbeck Trend Channel is a professional-grade equilibrium and volatility framework. It is not predictive or profit-assured; performance depends on parameter calibration, volatility regime, and disciplined execution. BOSWaves recommends using it as part of a comprehensive analytical stack combining structure, liquidity, and momentum context.
FDF – Step 4 (Touch-21 + Trend/VWAP + Channel + Prev75% toggle)FDF — EMAs + VWAP Retest Entry System (A++ Signal Mode Compatible)
This indicator is designed for traders who follow a structured pullback and continuation entry method using the 9 EMA, 21 EMA, and VWAP as trend and momentum guides.
The system highlights high-probability retest entries when price pulls back into the EMA channel and shows strength in the direction of trend. It also includes optional A++ wick filters for traders who want to refine entries only to the strongest momentum candles.
Core Logic
A trade setup is identified when:
Trend is defined by the EMA alignment
• Long bias when EMA9 > EMA21
• Short bias when EMA9 < EMA21
Price retests the 21 EMA
• The candle must touch or cross the 21 EMA
• Designed to time pullbacks, not breakouts
Entry Confirmation
• Candle closes back in channel or breaks away in the trend direction
• Optional requirement: price must be on the correct side of VWAP for intraday trend alignment
A++ Wick Filter Mode (Optional)
Enable this mode to restrict entries to only high-dominance candles:
Dominant wick must exceed the opposing wick by a chosen percentage
Opposing wick can optionally be limited to a % of body size
Helps avoid weak, indecisive, or absorption candles
This mode is optional — turn it off to allow standard FDF entries.
Signals
When conditions are met, the script plots:
Green Triangle → Long entry signal
Red Triangle → Short entry signal
(Entries are plotted only after candle close to avoid repainting.)
Best Use
• Works on 5m / 15m / 1H intraday trend structures
• Pairs well with market structure + liquidity zones
• Designed for disciplined traders who wait for trend alignment and controlled pullbacks
Disclaimer
This tool is provided for educational and research purposes only.
It is not financial advice. Always test your setup and manage risk appropriately.
Trend Pullback System```{"variant":"standard","id":"36492","title":"Trend Pullback System Description"}
Trend Pullback System is a price-action trend continuation model that looks to enter on pullbacks, not breakouts. It’s designed to find high-quality long/short entries inside an already established trend, place the stop at meaningful structure, trail that stop as structure evolves, and warn you when the trade thesis is no longer valid.
Developed by: Mohammed Bedaiwi
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HOW IT WORKS
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1. Trend Detection
• The strategy defines overall bias using moving averages.
• Bullish environment (“uptrend”): price above the slower MA, fast MA above slow MA, and the slow MA is sloping up.
• Bearish environment (“downtrend”): price below the slower MA, fast MA below slow MA, and the slow MA is sloping down.
This prevents trading against chop and focuses on continuation moves in the dominant direction.
2. Pullback + Re-entry Logic
• The script waits for price to pull back into structure (support in an uptrend, resistance in a downtrend), and then push back in the direction of the main trend.
• That “push back” is the setup trigger. We don’t chase the first breakout candle — we buy/sell the retest + resume.
3. Structural Levels (“Diamonds”)
• Green diamond (below bar): bullish pivot low formed while the trend is bullish. This marks defended support.
- Use it as a re-entry zone for longs.
- Use it to trail a stop higher when you’re already long.
- Shorts can take profit here because buyers stepped in.
• Red diamond (above bar): bearish pivot high formed while the trend is bearish. This marks defended resistance.
- Use it as a re-entry zone for shorts.
- Use it to trail a stop lower when you’re already short.
- Longs can take profit here because sellers stepped in.
4. Entry Signals
• BUY arrow (green triangle up under the candle, text like “BUY” / “BUY Zone”):
- LongSetup is true.
- Trend is bullish or turning bullish.
- Price just bounced off recent defended support (green diamond) and reclaimed short-term momentum.
Meaning: enter long here or cover/exit shorts.
• SELL arrow (red triangle down above the candle):
- ShortSetup is true.
- Trend is bearish or turning bearish.
- Price just rolled down from defended resistance (red diamond) and lost short-term momentum.
Meaning: enter short here or take profit on longs.
These are the primary trade entries. They are meant to be actionable.
5. Weak Setups (“W” in yellow)
• Yellow triangle with “W”:
- A possible long/short idea is trying to form, BUT the higher-timeframe confirmation is not fully there yet.
- Think of it as early pressure / early caution, not a full signal.
• You usually watch these areas rather than jumping in immediately.
6. Exit Warning (orange “EXIT” label above a bar)
• The strategy will raise an EXIT marker when you’re in a trade and the *opposite* side just produced a confirmed setup.
- You’re short and a valid longSetup appears → EXIT.
- You’re long and a valid shortSetup appears → EXIT.
• This is basically: “Close or reduce — the other side just took control.”
• It’s not just a trailing stop hit; it’s a regime flip warning.
7. Stop, Target, and Trailing
• On every new setup, the script records:
- Initial stop: recent swing beyond the defended level (below support for longs, above resistance for shorts).
- Initial target: recent opposing swing.
• While you’re in position, if new confirming diamonds print in your favor, the stop can trail toward the new defended level.
• This creates structure-based risk management (not just fixed % or ATR).
8. Reference Levels
• The strategy also plots prior higher-timeframe closes (last week’s close, last month’s close, last year’s close). These can behave as magnets or stall points.
• They’re helpful for take-profit timing and for reading “are we trading above or below last month’s close?”
9. Momentum Panel (hidden by default)
• Internally, the script calculates an SMI-style momentum oscillator with overbought/oversold zones.
• This is optional visual confirmation and does not drive the core entry/exit logic.
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WHAT A TRADE LOOKS LIKE IN REAL PRICE ACTION
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Early warning
• Yellow W + red diamonds + red down arrows = “This is getting weak. Short setups are here.”
• You may also see something like “My Short Entry Id.” That’s where the short side actually engages.
Bearish follow-through, then exhaustion
• Price bleeds down.
• Then the orange EXIT appears.
→ Translation: “If you’re still short, close it. Buyers are stepping in hard. Risk of reversal is now high.”
Regime flip
• Right after EXIT, multiple green BUY arrows fire together (“BUY”, “BUYZone”).
• That’s the true long trigger.
→ This is where you either enter long or flip from short to long.
Expansion leg
• After that flip, price rips up for multiple candles / days / weeks.
• While it runs:
- Green diamonds appear under pullbacks → “dip buy zones / trail stop up here.”
- More BUY arrows show on minor pullbacks → continuation long / scale adds.
Distribution / topping
• Later, you start seeing new yellow W triangles again near local highs. That’s your “careful, this might be topping” warning.
• You finally get a hard red candle, and green diamonds stop stacking.
→ That’s where you tighten risk, scale out, or assume the move is mature.
In plain terms, the model is doing the following for you:
• It puts you short during weakness.
• It tells you when to get OUT of the short.
• It flips you long right as control changes.
• It gives you a structure-based trail the whole way up.
• It warns you again when momentum at the top starts cracking.
That is exactly how the logic was designed.
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QUICK INTERPRETATION CHEAT SHEET
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🔻 Red triangle + “Short Entry” near a red diamond
→ Short entry zone (or take profit on a long).
🟥 Red diamond above bar
→ Sellers defended here. Treat it as resistance. Good place to trail short stops just above that level. Avoid chasing longs straight into it.
🟨 Yellow W
→ Attention only. Early pressure / possible turn. Not fully confirmed.
🟧 EXIT (orange label)
→ The opposite side just printed a real setup. Close the old idea (cover shorts if you’re short, exit longs if you’re long). Thesis invalid.
🟩 Burst of green BUY triangles after EXIT
→ Long entry. Also a “cover shorts now” alert. This is the core money entry in bullish reversals.
💎 Green diamond below bar
→ Bulls defended that level. Good for trailing your long stop up, and good “buy the dip in trend” locations.
📈 Blue / teal MAs stacked and rising
→ Confirmed bullish structure. You’re in trend continuation mode, so dips are opportunities, not automatic exits.
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COLOR / SHAPE KEY
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• Green triangle up (“BUY”, “BUY Zone”):
Long entry / cover shorts / continuation long trigger.
• Red triangle down:
Short entry / take profit on longs / continuation short trigger.
• Orange “EXIT” label:
Opposite side just fired a real setup. The previous trade thesis is now invalid.
• Green diamond below price:
Bullish defended support in an uptrend. Use for dip buys, trailing stops on longs, and objective cover zones for shorts.
• Red diamond above price:
Bearish defended resistance in a downtrend. Use for re-entry shorts, trailing stops on shorts, and objective scale-out zones for longs.
• Yellow “W”:
Weak / early potential setup. Watch it, don’t blindly trust it.
• Moving average bands (fast MA, slow MA, Hull MA):
When stacked and rising, bullish control. When stacked and falling, bearish control.
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INTENT
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This system is built to:
• Trade with momentum, not against it.
• Enter on pullbacks into proven structure, not chase stretched breakouts.
• Automate stop/target logic around actual defended swing levels.
• Warn you when the other side takes over so you don’t give back gains.
Typical usage:
1. In an uptrend, wait for price to pull back, print a green diamond (support proved), then take the first BUY arrow that fires.
2. In a downtrend, wait for a bounce into resistance, print a red diamond (sellers proved), then take the first SELL arrow that fires.
3. Respect EXIT when it appears — that’s the model saying “this trade is done.”
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DISCLAIMER
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This script is for educational and research purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any security, cryptoasset, or derivative. Markets carry risk. Past performance does not guarantee future results. You are fully responsible for your own decisions, position sizing, risk management, and compliance with all applicable laws and regulations.
FluxVector Liquidity Universal Trendline FluxVector Liquidity Trendline FFTL
Summary in one paragraph
FFTL is a single adaptive trendline for stocks ETFs FX crypto and indices on one minute to daily. It fires only when price action pressure and volatility curvature align. It is original because it fuses a directional liquidity pulse from candle geometry and normalized volume with realized volatility curvature and an impact efficiency term to modulate a Kalman like state without ATR VWAP or moving averages. Add it to a clean chart and use the colored line plus alerts. Shapes can move while a bar is open and settle on close. For conservative alerts select on bar close.
Scope and intent
• Markets. Major FX pairs index futures large cap equities liquid crypto top ETFs
• Timeframes. One minute to daily
• Default demo used in the publication. SPY on 30min
• Purpose. Reduce false flips and chop by gating the line reaction to noise and by using a one bar projection
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique fusion. Directional Liquidity Pulse plus Volatility Curvature plus Impact Efficiency drives an adaptive gain for a one dimensional state
• Failure mode addressed. One or two shock candles that break ordinary trendlines and saw chop in flat regimes
• Testability. All windows and gains are inputs
• Portable yardstick. Returns use natural log units and range is bar high minus low
• Protected scripts. Not used. Method disclosed plainly here
Method overview in plain language
Base measures
• Return basis. Natural log of close over prior close. Average absolute return over a window is a unit of motion
Components
• Directional Liquidity Pulse DLP. Measures signed participation from body and wick imbalance scaled by normalized volume and variance stabilized
• Volatility Curvature. Second difference of realized volatility from returns highlights expansion or compression
• Impact Efficiency. Price change per unit range and volume boosts gain during efficient moves
• Energy score. Z scores of the above form a single energy that controls the state gain
• One bar projection. Current slope extended by one bar for anticipatory checks
Fusion rule
Weighted sum inside the energy score then logistic mapping to a gain between k min and k max. The state updates toward price plus a small flow push.
Signal rule
• Long suggestion and order when close is below trend and the one bar projection is above the trend
• Short suggestion and flip when close is above trend and the one bar projection is below the trend
• WAIT is implicit when neither condition holds
• In position states end on the opposite condition
What you will see on the chart
• Colored trendline teal for rising red for falling gray for flat
• Optional projection line one bar ahead
• Optional background can be enabled in code
• Alerts on price cross and on slope flips
Inputs with guidance
Setup
• Price source. Close by default
Logic
• Flow window. Typical range 20 to 80. Higher smooths the pulse and reduces flips
• Vol window. Typical range 30 to 120. Higher calms curvature
• Energy window. Typical range 20 to 80. Higher slows regime changes
• Min gain and Max gain. Raise max to react faster. Raise min to keep momentum in chop
UI
• Show 1 bar projection. Colors for up down flat
Properties visible in this publication
• Initial capital 25000
• Base currency USD
• Commission percent 0.03
• Slippage 5
• Default order size method percent of equity value 3%
• Pyramiding 0
• Process orders on close off
• Calc on every tick off
• Recalculate after order is filled off
Realism and responsible publication
• No performance claims
• Intrabar reminder. Shapes can move while a bar forms and settle on close
• Strategy uses standard candles only
Honest limitations and failure modes
• Sudden gaps and thin liquidity can still produce fast flips
• Very quiet regimes reduce contrast. Use larger windows and lower max gain
• Session time uses the exchange time of the chart if you enable any windows later
• Past results never guarantee future outcomes
Open source reuse and credits
• None
Trend Alignment TableThe Trend Alignment Table is a clean, visual tool designed to quickly assess trend direction and alignment across multiple moving averages — without cluttering your chart.
Instead of plotting moving average lines, this indicator displays a compact on-chart table showing each selected MA and its corresponding trend status using color-coded circles.
🧩 How It Works
Each circle represents the relationship between price and its corresponding moving average (MA):
Price vs. MA MA Direction Circle Color Meaning
Above Rising 🟢 Green Bullish continuation
Above Falling 🟡 Yellow Weakening bullishness
Below Falling 🔴 Red Bearish continuation
Below Rising 🟡 Yellow Weakening bearishness
⚙️ Features
Up to 4 customizable moving averages
Type: SMA, EMA, SMMA (RMA), WMA, VWMA
Source: Any price source (close, open, etc.)
Length: Fully adjustable
Dynamic color-coded circles (green, yellow, red by default — fully customizable)
User-selectable table position (top-left, top-right, bottom-left, bottom-right)
Clean visual layout for quick multi-timeframe trend confirmation
📊 Use Cases
Instantly identify trend alignment across short-, medium-, and long-term averages
Confirm trend strength or weakening momentum
Combine with other indicators or strategies for confirmation signals
🧠 Default Settings
MA Type Length Color
MA #1 SMA 5 Green
MA #2 SMA 20 Gold
MA #3 SMA 50 Orange
MA #4 SMA 150 Red
🧰 Created for traders who value clarity.
Whether you trade trends, reversals, or momentum shifts, the Trend Alignment Table gives you a concise, at-a-glance view of the market’s directional structure.
Trend CandlesThis shows candlesticks that only follow the trend. So it will make it easier to know where the trend is going.
Trend Magic EMA RMI Trend Sniper📌 Indicator Name:
Trend Magic + EMA + MA Smoothing + RMI Trend Sniper
📝 Description:
This is a multi-functional trend and momentum indicator that combines four powerful tools into a single overlay:
Trend Magic – Plots a dynamic support/resistance line based on CCI and ATR.
Helps identify trend direction (green = bullish, red = bearish).
Acts as a trailing stop or dynamic level for trade entries/exits.
Exponential Moving Average (EMA) – Smooths price data to highlight the underlying trend.
Customizable length, source, and offset.
Serves as a trend filter or moving support/resistance.
MA Smoothing + Bollinger Bands (Optional) – Adds a secondary smoothing filter based on your choice of SMA, EMA, WMA, VWMA, or SMMA.
Optional Bollinger Bands visualize volatility expansion/contraction.
Great for spotting consolidations and breakout opportunities.
RMI Trend Sniper – A momentum-based system combining RSI and MFI.
Highlights bullish (green) or bearish (red) conditions.
Plots a Range-Weighted Moving Average (RWMA) channel to gauge price positioning.
Provides visual BUY/SELL labels and optional bar coloring for fast decision-making.
📊 Uses & Trading Applications:
✅ Trend Identification: Spot the dominant market direction quickly with Trend Magic & EMA.
✅ Momentum Confirmation: RMI Sniper helps confirm whether the market has strong bullish or bearish pressure.
✅ Dynamic Support/Resistance: Trend Magic & EMA act as adaptive levels for stop-loss or trailing positions.
✅ Volatility Analysis: Optional Bollinger Bands show squeezes and potential breakout setups.
✅ Entry/Exit Signals: BUY/SELL alerts and color-coded candles make spotting trade opportunities simple.
💡 Best Use Cases:
Swing Trading: Follow Trend Magic + EMA alignment for higher probability trades.
Scalping/Intraday: Use RMI signals with bar coloring for quick momentum entries.
Trend Following Strategies: Ride trends until Trend Magic flips direction.
Breakout Trading: Watch for price closing outside the Bollinger Bands with RMI confirmation.
Trend ChannelThis Trend Channel is designed to simplify how traders view trends, while also keeping track of potential shifts in trends with signals. It is designed for traders that prefer less over more.
The indicator can be used for trend following, trend reversals and confirmation in combination with price or other indicators.
At the core is one EMA and a smoothed volatility based channel around it.
The purpose of the channel is to avoid false signals on trend reclaim or trend loss and instead identify trend deviations.
The indicator also incorporates long and short EMA cross-over signals to recognize possible shifts in trend without having to overlay multiple EMAs and keep the chart cleaner.
Additionally the indicator fires warnings for potential false signals on golden/death crosses with a letter "W" above/below the signal candle. Those warnings are based on the distance between price and the crossover. When the distance is above a certain threshold the indicator fires a warning that price might mean revert.
Traders can customize all inputs in the settings.
Z-Score Volume with CVD TrendZ-Score Volume & CVD Trend with Exhaustion Signals
This powerful, all-in-one indicator combines statistical volume analysis, Cumulative Volume Delta (CVD), and a custom clustering algorithm to provide a clear and dynamic view of market sentiment. It is designed to help traders identify the prevailing trend and spot potential reversals or trend exhaustion before they happen.
Important Note: This indicator is specifically designed and optimized for use during the Regular Trading Hours (RTH) New York session, which is typically characterized by high volume and volatility. Its signals may be less reliable in low-volume or overnight sessions.
Core Concepts
1. Volume Z-Score
The script first calculates a Z-score for volume, which measures how many standard deviations a bar's volume is from a moving average. This helps to identify statistically significant volume spikes that may signal institutional activity or a major shift in sentiment.
2. Cumulative Volume Delta (CVD)
CVD plots the net difference between buying and selling volume over time. A rising CVD indicates a surplus of buying pressure, while a falling CVD shows a surplus of selling pressure. This provides a clear look at the direction of momentum.
3. Custom Clustering
By combining the Volume Z-score and CVD delta, the script classifies each bar into one of six distinct "clusters." The purpose is to simplify complex data into actionable signals.
High Conviction Bullish: High Z-score volume with strong CVD buying.
High Conviction Bearish: High Z-score volume with strong CVD selling.
Effort vs. Result: High Z-score volume with no clear CVD bias, indicating indecision or a struggle between buyers and sellers.
Quiet Accumulation: Low volume with subtle CVD buying, suggesting passive accumulation.
Quiet Distribution: Low volume with subtle CVD selling, suggesting passive distribution.
Low Conviction/Noise: Low volume and low CVD, representing general market noise.
Trend and Exhaustion Logic
Trend Establishment: The indicator determines the overall trend (Bullish, Bearish, or Neutral) by analyzing the majority of recent clusters over a configurable lookback period.
A Bullish Trend is confirmed when a majority of recent bars are either "High Conviction Bullish" or "Quiet Accumulation."
A Bearish Trend is confirmed when a majority of recent bars are either "High Conviction Bearish" or "Quiet Distribution."
Trend Exhaustion: This is a key feature for identifying potential reversals. The script looks for a divergence between price action and CVD within a confirmed trend.
Bullish Exhaustion Signal: Occurs during a confirmed "Bullish Trend" when you see a bearish divergence (price makes a higher high, but CVD shows negative delta and a close lower than the open). This is a strong sign the uptrend may be running out of steam.
Bearish Exhaustion Signal: Occurs during a confirmed "Bearish Trend" when you see a bullish divergence (price makes a lower low, but CVD shows positive delta and a close higher than the open). This indicates the downtrend may be exhausted.
How to Interpret the Visuals
Volume Bars: Colored to match the cluster they belong to.
Background Color: Shows the overall trend (light green for bullish, light red for bearish).
Circle Markers (bottom): Green circles indicate a bullish trend, and red circles indicate a bearish trend.
Triangles and Circles (top): Represent the specific cluster of each bar.
Trend Exhaustion Markers: Triangles above/below the bar signal potential trend exhaustion.
Info Table: An optional table provides a real-time summary of all key metrics for the current bar.
Settings
Volume EMA Length: Adjusts the moving average used for the Volume Z-score calculation.
Z-Score Look Back: Defines the number of bars to use for the volume and CVD percentile calculation.
Lower/Upper Cluster Percentile: Use these to adjust the sensitivity of the clustering. Tighter ranges (e.g., 25/75) capture more data, while wider ranges (e.g., 10/90) will only signal truly extreme events.
Trend Lookback Bars: Controls how many recent bars are considered when determining the trend.
This script offers a comprehensive and easy-to-read way to integrate volume, momentum, and trend analysis into your trading.
Happy Trading!
Trend Analyzer MACD EnhancedTrend Analyzer MACD Enhanced
Advanced trend analysis with MACD, RSI, Volume and Divergence detection!
Overview
This comprehensive indicator combines multiple technical analysis tools into one powerful visualization. It features dynamic background coloring, real-time signal strength calculation, and automatic divergence detection for complete market analysis.
Key Features
✅ Multi-Indicator Analysis- MACD, RSI, and Volume in one indicator
✅ Divergence Detection - Automatic bullish and bearish divergence identification
✅ Dynamic Background - Color-coded trend zones with smooth transitions
✅ Signal Strength - Weighted calculation showing overall market sentiment (0-100%)
✅ Trend Change Detection - Visual markers for trend reversals
✅ Information Table - Real-time status of all indicators
How It Works
The indicator calculates signal strength using weighted analysis:
- MACD (50%) - Primary trend momentum
- RSI (30%) - Overbought/oversold conditions
- Volume (20%) - Volume confirmation
Signal Strength Range: -100% to +100%
Visual Elements
Background Colors:
- 🟢 **Green** - Uptrend (intensity based on signal strength)
- 🔴 **Red** - Downtrend (intensity based on signal strength)
- ⚪ **Gray** - Neutral/sideways market
Trend Markers:
- 🔺 **Green Triangle Up** - Start of new uptrend
- 🔻 **Red Triangle Down** - Start of new downtrend
- 📏 **Vertical Lines** - Trend change confirmation
Information Table
Real-time display showing:
- Trend - Current trend state with color coding
- MACD - Direction and crossover status
- RSI - Level and overbought/oversold status
- Volume - Level and trend direction
- Divergence - Current divergence status
- Signal Strength - Overall percentage
Alerts
Built-in alerts for:
- Strong Buy/Sell Signals - High probability setups
- Divergence Signals - Early reversal warnings
Settings
MACD:Fast (12), Slow (26), Signal (9)
RSI:Length (14), Overbought (70), Oversold (30)
Volume:MA Length (20), Threshold (1.5x)
Display:Toggle RSI, Volume, and Table visibility
Best Practices
🎯 Works best in trending markets
📊 Use in separate window below main chart
⚡ Combine with price action analysis
🛡️ Always use proper risk management
Pro Tips
- Green background = Strong uptrend, Red background = Strong downtrend
- Signal strength > 50% = Very bullish, < -50% = Very bearish
- Watch for divergence signals for early reversal warnings
- Use the information table for quick market assessment
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Created with ❤️ for the trading community
This indicator is free to use for both commercial and non-commercial purposes.
(ES, NQ) Trend Checker SB1(ES, NQ) Trend Checker SB1
Stay ahead of the market by tracking whether the E-mini S&P 500 (ES) and the Nasdaq 100 (NQ) are moving in sync.
📊 How it works:
The script checks whether each index is bullish (close > open) or bearish (close < open).
If both are aligned (all bullish or all bearish), conditions are stable.
If they diverge, the indicator instantly flags a mismatch in trend.
🎯 Features:
Background shading to highlight mismatched conditions.
Real-time alerts when ES and NQ fall out of sync.
Works on any timeframe.
🔥 Why it matters:
When ES and NQ move together, market momentum is usually stronger and cleaner.
But when they disagree, expect choppiness, fakeouts, or caution zones — the perfect heads-up before entering trades.
Bullish/Bearish Trend Indicator [MTF + Alerts] by Dow theory Summary of Logic:
✅ Bullish Trend:
Setup Bar: High > Previous High AND Low ≥ Previous Low
Confirmation Bar: High > Highest High of last 3 candles, Low ≥ Setup Bar Low
Trend Continues Until: Latest candle breaks 2nd last candle’s low → then trend becomes Bearish
🔻 Bearish Trend:
Setup Bar: Low < Previous Low AND High ≤ Previous High
Confirmation Bar: Low < Lowest Low of last 3 candles, High ≤ Setup Bar High
Trend Continues Until: Latest candle breaks 2nd last candle’s high → then trend becomes Bullish
SuperTrend Strategy with Trend-Based Exits🟩 SuperTrend Strategy with Trend-Based Exits
This is a fully automated trend-following strategy based on the popular SuperTrend indicator, enhanced with a position sizing algorithm tied to stop-loss distance and dynamic entry/exit rules. The strategy is designed for futures trading with an emphasis on sustainable risk, realistic backtesting, and transparent logic.
🧠 Concept and Methodology
The strategy uses the SuperTrend indicator, which is derived from ATR (Average True Range) and is widely used to capture medium- to long-term market trends.
Key features:
✅ Entries are triggered only when the SuperTrend direction changes (trend reversal).
✅ Exits are performed using a dynamic stop-loss placed at the SuperTrend line.
✅ Position size is automatically calculated based on the trader’s fixed dollar risk per trade and the current distance to the stop-loss.
✅ Rounding logic is included to ensure quantity is valid for the exchange’s lot size.
This strategy does not use any take-profit or classic trailing stop — the position is only closed when the trend reverses or the stop is hit by touching the SuperTrend line.
⚙️ Default Parameters
ATR Length: 300
Factor: 7.5
Risk per trade: $90 (3% of the default $3,000 capital)
Lot step: 10
Commission: 0.05%
These default parameters are not universal. They were optimized specifically for STXUSDT swap at 15M timeframe at Bybit and may not produce viable results on other pairs and timeframes.
Users are encouraged to customize the settings according to specific asset’s volatility, timeframe and other characteristics.
❗ These default settings yield meaningful backtesting results on STXUSDT with a reasonable number of trades (105+) over 7-month period. If applied to other assets, results may vary significantly.
📈 Position Sizing Logic
The strategy uses a dynamic position sizing formula:
Pine Script®
position_size = floor((risk_per_trade / stop_loss_distance) / lot_step) * lot_step
This ensures the trader always risks a fixed dollar amount per trade and never exceeds a sustainable equity exposure (recommended 2% or less).
✅ Realism in Backtesting
To ensure realistic and non-misleading backtest results, this strategy includes:
— Slippage and commission settings matching average exchange conditions (commission = 0.05%, slippage 5 ticks).
— Position sizing based on stop-loss distance (not fixed contract quantity).*
— A fixed risk-per-trade model that adheres to responsible capital management principles.
— This is in compliance with TradingView's Script publishing rules and House Rules.
📌 How to Use
Apply the strategy to a clean chart (preferably 15M for STXUSDT by default).
If using another asset, adjust:
- ATR Length
- Factor
- Risk per trade
- Qty step (lot precision for the symbol)
Avoid using with other indicators unless you understand their purpose.
Use the Strategy Tester to evaluate performance and optimize parameters.
⚠️ Disclaimer
This is not financial advice. Always perform forward testing and assess risk before deploying any strategy on live capital. The strategy is designed for educational and experimental use.
Trend Buy/Sell Fibonacci Range - KLTThe Trend Buy/Sell Fibonacci Range – KLT indicator identifies bullish and bearish trends based on where the closing price is located within a Fibonacci range calculated from the last N candles (default is 10). Instead of analyzing individual candles, this tool takes a broader view of price action using Fibonacci retracement levels across a dynamic multi-candle range.
How It Works:
Range Calculation
The indicator calculates the highest high and lowest low over the last N candles to define the active price range (default: 10 bars).
Fibonacci Levels
Within this range, Fibonacci levels (0.236, 0.382, 0.5, 0.618, 0.786) are dynamically computed. These levels act as internal thresholds to evaluate bullish or bearish pressure.
Trend Identification (via Close Position):
If the closing price is above the 0.618 level, it indicates strong buy pressure → the candle turns green and an upward triangle appears.
If the closing price is below the 0.382 level, it suggests strong sell pressure → the candle turns red and a downward triangle is displayed.
If the close lies between 0.382 and 0.618, the market is considered neutral, and the candle is gray.
Visual Elements:
Colored candles to immediately spot trend conditions.
Triangle signals (optional) for clear Buy/Sell markers.
Fibonacci level lines plotted on the chart for full context (can be toggled on/off).
Customization Options:
Lookback period (number of candles to calculate the range)
Fibonacci threshold levels (upper/lower)
Show/hide arrows and Fibonacci lines
Why Use This Indicator?
This tool is perfect for traders who want a simple visual method to assess trend strength based on price structure, not indicators derived from lagging moving averages. It offers:
Cleaner market structure analysis
Objective trend zones
Customizable sensitivity
Recommended Use:
Works well in conjunction with support/resistance zones, volume, or momentum indicators.
Applicable to any asset class or timeframe.
Credits:
Developed by KLT, combining structure-based logic with Fibonacci precision.
Trend Strength Oscillator📌 Trend Strength Oscillator
📄 Description
Trend Strength Oscillator measures the directional strength of price relative to an adaptive dynamic trend band. It evaluates how far the current price is from the midpoint of a trend channel and normalizes this value by recent volatility range, allowing traders to detect trend strength, direction, and potential exhaustion in any market condition.
📌 Features
🔹 Adaptive Trend Band Logic: Uses a modified ATR and time-dependent spread formula to dynamically adjust upper and lower trend bands.
🔹 Trendline Midpoint Calculation: The central trendline is defined as the average between upper and lower bands.
🔹 Relative Positioning: Measures how far the close is from the center of the band as a percentage.
🔹 Range Normalization: Uses a normalized range to account for recent volatility, reducing noise in the oscillator reading.
🔹 Oscillator Output (±100 scale):
+100 indicates strong bullish momentum
-100 indicates strong bearish momentum
0 is the neutral centerline
🛠️ How to Use
✅ Trend Strength > +50: Indicates a strong bullish phase.
✅ Trend Strength < -50: Indicates a strong bearish phase.
⚠️ Crossing above 0: Potential bullish trend initiation.
⚠️ Crossing below 0: Potential bearish trend initiation.
📉 Values near 0: Suggest trend weakness or ranging conditions.
Best suited timeframes: 1H, 4H, Daily
Ideal combination with: RSI, MACD, volume-based oscillators, moving average crosses
✅ TradingView House Rules Compliance
This indicator is written in Pine Script v5 and fully open-source.
The script does not repaint, does not generate false alerts, and does not access external or private data.
It is intended strictly as a technical analysis tool, and not a buy/sell signal generator.
Users are encouraged to combine this tool with other confirmations and independent judgment in trading decisions.
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📌 Trend Strength Oscillator
📄 설명 (Description)
Trend Strength Oscillator는 가격이 동적 추세 밴드 내 어디에 위치해 있는지를 정량적으로 분석하여, 추세의 방향성과 강도를 시각적으로 보여주는 오실레이터 지표입니다. 최근 변동성을 반영한 밴드를 기반으로 가격 위치를 정규화하여, 과매수·과매도 상태나 추세의 소멸 가능성까지 탐지할 수 있도록 설계되었습니다.
📌 주요 특징 (Features)
🔹 적응형 추세 밴드 계산: ATR과 시간 경과를 기반으로 상단/하단 밴드를 동적으로 조정
🔹 중심 추세선 산출: 상단과 하단 밴드의 평균값을 중심선으로 활용하여 기준 축 제공
🔹 상대 위치 계산: 현재 종가가 중심선에서 얼마나 떨어져 있는지를 정규화하여 추세 강도 계산
🔹 변동성 기반 정규화: 최근 밴드 범위를 기준으로 상대 거리를 0~100 사이 값으로 변환
🔹 오실레이터 출력 (범위: ±100):
+100에 가까울수록 강한 상승 추세
-100에 가까울수록 강한 하락 추세
0에 가까울수록 횡보 구간 가능성
🛠️ 사용법 (How to Use)
✅ +50 이상: 강한 상승 추세 지속 중
✅ -50 이하: 강한 하락 추세 지속 중
⚠️ 0선 돌파 상향: 상승 추세 시작 가능성
⚠️ 0선 돌파 하향: 하락 추세 시작 가능성
🟡 0 근처 유지: 추세 약화 또는 횡보장 가능성
추천 시간대: 1시간봉, 4시간봉, 일봉
보조 지표로 추천: RSI, MACD, OBV, 이동평균 크로스 등과 함께 활용 시 효과적
✅ 트레이딩뷰 하우스룰 준수사항 (TradingView House Rules Compliance)
본 지표는 Pine Script v5로 작성된 오픈소스 공개용 스크립트입니다.
리페인트(Repaint) 현상이 없으며, **허위 경고(Spam Alerts)**나 성능 저하 요소도 없습니다.
외부 데이터 접근 없이 완전히 자체 계산으로 동작합니다.
이 지표는 투자 판단을 돕기 위한 분석용 도구이며, 직접적인 매수·매도 신호로 사용해서는 안 됩니다.
모든 트레이딩은 사용자의 독립적인 판단과 책임 하에 이루어져야 합니다.
Step Channel Momentum Trend [ChartPrime]OVERVIEW
Step Channel Momentum Trend is a momentum-based price filtering system that adapts to market structure using pivot levels and ATR volatility. It builds a dynamic channel around a stepwise midline derived from swing highs and lows. The system colors price candles based on whether price remains inside this channel (low momentum) or breaks out (strong directional flow). This allows traders to clearly distinguish ranging conditions from trending ones and take action accordingly.
⯁ STRUCTURAL MIDLNE (STEP CHANNEL CORE)
The midline acts as the backbone of the trend system and is based on structure rather than smoothing.
Calculated as the average of the most recent confirmed Pivot High and Pivot Low.
The result is a step-like horizontal line that only updates when new pivot points are confirmed.
This design avoids lag and makes the line "snap" to recent structural shifts.
It reflects the equilibrium level between recent bullish and bearish control.
This unique step logic creates clear regime shifts and prevents noise from distorting trend interpretation.
⯁ DYNAMIC VOLATILITY BANDS (ATR FILTERING)
To detect momentum strength, the script constructs upper and lower bands using the ATR (Average True Range):
The distance from the midline is determined by ATR × multiplier (default: 200-period ATR × 0.6).
These bands adjust dynamically to volatility, expanding in high-ATR environments and contracting in calm markets.
The area between upper and lower bands represents a neutral or ranging market state.
Breakouts outside the bands are treated as significant momentum shifts.
This filtering approach ensures that only meaningful breakouts are visually emphasized — not every candle fluctuation.
⯁ MOMENTUM-BASED CANDLE COLORING
The system visually transforms price candles into momentum indicators:
When price (hl2) is above the upper band, candles are green → bullish momentum.
When price is below the lower band, candles are red → bearish momentum.
When price is between the bands, candles are orange → low or no momentum (range).
The candle body, wick, and border are all colored uniformly for visual clarity.
This gives traders instant feedback on when momentum is expanding or fading — ideal for breakout, pullback, or trend-following strategies.
⯁ PIVOT-BASED SWING ANCHORS
Each confirmed pivot is plotted as a label ⬥ directly on the chart:
They also serve as potential manual entry zones, SL/TP anchors, or confirmation points.
⯁ MOMENTUM STATE LABEL
To reinforce the current market mode, a live label is displayed at the most recent candle:
Displays either:
“ Momentum Up ” when price breaks above the upper band.
“ Momentum Down ” when price breaks below the lower band.
“ Range ” when price remains between the bands.
Label color matches the candle color for quick identification.
Automatically updates on each bar close.
This helps discretionary traders filter trades based on market phase.
USAGE
Use the green/red zones to enter with momentum and ride trending moves.
Use the orange zone to stay out or fade ranges.
The step midline can act as a breakout base, pullback anchor, or bias reference.
Combine with other indicators (e.g., order blocks, divergences, or volume) to build high-confluence systems.
CONCLUSION
Step Channel Momentum Trend gives traders a clean, adaptive framework for identifying trend direction, volatility-based breakouts, and ranging environments — all from structural logic and ATR responsiveness. Its stepwise midline provides clarity, while its dynamic color-coded candles make momentum shifts impossible to miss. Whether you’re scalping intraday momentum or managing swing entries, this tool helps you trade with the market’s rhythm — not against it.
Trend Blend
Trend blend is my new indicator. I use it to identify my bias when trading and filter out fake setups that are going in the wrong direction.
Trend blend utilises the 9 EMA (Red), 21 EMA (Black), and if you trade futures or Bitcoin, you can also use the VWAP (Blue).
There is also a table at the top right that displays the chart time frame bias
I prefer to use the 1-hour time frame for bias and execute the trades on 5-minute charts, mainly, and sometimes on the 1-minute for a smaller stoploss.
Here's an example of the trade I took during the London session on XAU/USD
1 hour bias was Bearish
Price broke out of the range
I waited for the London session to open, where I ended up taking a short on the 5-minute time frame as we broke out of the pre-London range
Entry was at the Fair Value Gap (5-minute bias was also Bearish as price traded into the FVG)
Stoploss was at the last high
Take Profit was the next major support level
Another set that I like to trade with the Trend blend is when price is trending bullish and price trades inside the 9 and 21 EMA, and there is a bullish candle closer above the 9 EMA with Stoploss below the low of the bullish candle and Take profit between 1-2 Risk to Reward
Same when there's a bearish trend, I wait for price to trade inside the 9 and 21 EMA, and I'll take sells when a bearish candle closes below the 9 EMA.
This setup works best in strong trends, or it can be used to enter a trade on a pullback or to scale into an existing trade.
Machine Learning | Adaptive Trend Signals [Bitwardex]⚙️🧠Machine Learning | Adaptive Trend Signals
🔷Overview
Machine Learning | Adaptive Trend Signals is a Pine Script™ v6 indicator designed to visualize market trends and generate signals through a combination of volatility clustering, Gaussian smoothing, and adaptive trend calculations. Built as an overlay indicator, it integrates advanced techniques inspired by machine learning concepts, such as K-Means clustering, to adapt to changing market conditions. The script is highly customizable, includes a backtesting module, and supports alert conditions, making it suitable for traders exploring trend-based strategies and developers studying volatility-driven indicator design.
🔷Functionality
The indicator performs the following core functions:
• Volatility Clustering: Uses K-Means clustering to categorize market volatility into high, medium, and low states, adjusting trend sensitivity accordingly.
• Trend Calculation: Computes adaptive trend lines (SmartTrend) based on volatility-adjusted standard deviation, smoothed RSI, and ADX filters.
• Signal Generation: Identifies potential buy and sell points through trend line crossovers and directional confirmation.
• Backtesting Module: Tracks trade outcomes based on the SmartTrend3 value, displaying win rate and total trades.
• Visualization: Plots trend lines with gradient colors and optional signal markers (bullish 🐮 and bearish 🐻).
• Alerts: Provides configurable alerts for trend shifts and volatility state changes.
🔷Technical Methodology
Volatility Clustering with K-Means
The indicator employs a K-Means clustering algorithm to classify market volatility, measured via the Average True Range (ATR), into three distinct clusters:
• Data Collection: Gathers ATR values over a user-defined training period (default: 100 bars).
• Centroid Initialization: Sets initial centroids at the highest, lowest, and midpoint ATR values within the training period.
• Iterative Clustering: Assigns ATR data points to the nearest centroid, recalculates centroid means, and repeats until convergence.
• Dynamic Adjustment: Assigns a volatility state (high, medium, or low) based on the closest centroid, adjusting the trend factor (e.g., tighter for high volatility, wider for low volatility).
This approach allows the indicator to adapt its sensitivity to varying market conditions, providing a data-driven foundation for trend calculations.
🔷Gaussian Smoothing
To enhance signal clarity and reduce noise, the indicator applies Gaussian kernel smoothing to:
• RSI: Smooths the Relative Strength Index (calculated from OHLC4) to filter short-term fluctuations.
• SmartTrend: Smooths the primary trend line for a more stable output.
The Gaussian kernel uses a sigma value derived from the user-defined smoothing length, ensuring mathematically consistent noise reduction.
🔷SmartTrend Calculation
The pineSmartTrend function is the core of the indicator, producing three trend lines:
• SmartTrend: The primary trend line, calculated using a volatility-adjusted standard deviation, smoothed RSI, and ADX conditions.
• SmartTrend2: A secondary trend line with a wider factor (base factor * 1.382) for signal confirmation.
SmartTrend3: The average of SmartTrend and SmartTrend2, used for plotting and backtesting.
Key components of the calculation include:
• Dynamic Standard Deviation: Scales based on ATR relative to its 50-period smoothed average, with multipliers (1.0 to 1.4) applied according to volatility thresholds.
• RSI and ADX Filters: Requires RSI > 50 for bullish trends or < 50 for bearish trends, alongside ADX > 15 and rising to confirm trend strength.
Volatility-Adjusted Bands: Constructs upper and lower bands around price action, adjusted by the volatility cluster’s dynamic factor.
🔷Signal Generation
The generate_signals function generates signals as follows:
• Buy Signal: Triggered when SmartTrend crosses above SmartTrend2 and the price is above SmartTrend, with directional confirmation.
• Sell Signal: Triggered when SmartTrend crosses below SmartTrend2 and the price is below SmartTrend, with directional confirmation.
Directional Logic: Tracks trend direction to filter out conflicting signals, ensuring alignment with the broader market context.
Signals are visualized as small circles with bullish (🐮) or bearish (🐻) emojis, with an option to toggle visibility.
🔷Backtesting
The get_backtest function evaluates signal outcomes using the SmartTrend3 value (rather than closing prices) to align with the trend-based methodology.
It tracks:
• Total Trades: Counts completed long and short trades.
• Win Rate: Calculates the percentage of trades where SmartTrend3 moves favorably (higher for longs, lower for shorts).
Position Management: Closes opposite positions before opening new ones, simulating a single-position trading system.
Results are displayed in a table at the top-right of the chart, showing win rate and total trades. Note that backtest results reflect the indicator’s internal logic and should not be interpreted as predictive of real-world performance.
🔷Visualization and Alerts
• Trend Lines: SmartTrend3 is plotted with gradient colors reflecting trend direction and volatility cluster, accompanied by a secondary line for visual clarity.
• Signal Markers: Optional buy/sell signals are plotted as small circles with customizable colors.
• Alerts: Supports alerts for:
• Bullish and bearish trend shifts (confirmed on bar close).
Transitions to high, medium, or low volatility states.
🔷Input Parameters
• ATR Length (default: 14): Period for ATR calculation, used in volatility clustering.
• Period (default: 21): Common period for RSI, ADX, and standard deviation calculations.
• Base SmartTrend Factor (default: 2.0): Base multiplier for volatility-adjusted bands.
• SmartTrend Smoothing Length (default: 10): Length for Gaussian smoothing of the trend line.
• Show Buy/Sell Signals? (default: true): Enables/disables signal markers.
• Bullish/Bearish Color: Customizable colors for trend lines and signals.
🔷Usage Instructions
• Apply to Chart: Add the indicator to any TradingView chart.
• Configure Inputs: Adjust parameters to align with your trading style or market conditions (e.g., shorter ATR length for faster markets).
• Interpret Output:
• Trend Lines: Use SmartTrend3’s direction and color to gauge market bias.
• Signals: Monitor bullish (🐮) and bearish (🐻) markers for potential entry/exit points.
• Backtest Table: Review win rate and total trades to understand the indicator’s behavior in historical data.
• Set Alerts: Configure alerts for trend shifts or volatility changes to support manual or automated trading workflows.
• Combine with Analysis: Use the indicator alongside other tools or market context, as it is designed to complement, not replace, comprehensive analysis.
🔷Technical Notes
• Data Requirements: Requires at least 100 bars for accurate volatility clustering. Ensure sufficient historical data is loaded.
• Market Suitability: The indicator is designed for trend detection and may perform differently in ranging or volatile markets due to its reliance on RSI and ADX filters.
• Backtesting Scope: The backtest module uses SmartTrend3 values, which may differ from price-based outcomes. Results are for informational purposes only.
• Computational Intensity: The K-Means clustering and Gaussian smoothing may increase processing time on lower timeframes or with large datasets.
🔷For Developers
The script is modular, well-commented, encouraging reuse and modification with proper attribution.
Key functions include:
• gaussianSmooth: Applies Gaussian kernel smoothing to any data series.
• pineSmartTrend: Computes adaptive trend lines with volatility and momentum filters.
• getDynamicFactor: Adjusts trend sensitivity based on volatility clusters.
• get_backtest: Evaluates signal performance using SmartTrend3.
Developers can extend these functions for custom indicators or strategies, leveraging the volatility clustering and smoothing methodologies. The K-Means implementation is particularly useful for adaptive volatility analysis.
🔷Limitations
• The indicator is not predictive and should be used as part of a broader trading strategy.
• Performance varies by market, timeframe, and parameter settings, requiring user experimentation.
• Backtest results are based on historical data and internal logic, not real-world trading conditions.
• Volatility clustering assumes sufficient historical data; incomplete data may affect accuracy.
🔷Acknowledgments
Developed by Bitwardex, inspired by machine learning concepts and adaptive trading methodologies. Community feedback is welcome via TradingView’s platform.
🔷 Risk Disclaimer
Trading involves significant risks, and most traders may incur losses. Bitwardex AI Algo is provided for informational and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument . The signals, metrics, and features are tools for analysis and do not guarantee profits or specific outcomes. Past performance is not indicative of future results. Always conduct your own due diligence and consult a financial advisor before making trading decisions.
EMA Oscillating Trend📈 EMA Oscillating Trend by AI-123
The EMA Oscillating Trend indicator is a dynamic trend visualizer that enhances traditional EMA behavior by offsetting the line based on trend direction, providing a more intuitive and visually distinct representation of market momentum.
🔍 Key Features:
🔵 Bullish Color Customization – Define your preferred color for bullish trends
🔴 Bearish Color Customization – Set a different tone for bearish phases
🪄 Adjustable Line Thickness – Tailor the EMA's appearance to your chart style
📐 Offset Multiplier Input – Automatically pushes the EMA above price in a downtrend and below price in an uptrend for enhanced clarity
⚙️ User-Friendly Inputs – No coding knowledge required; full customization in the settings panel
🧠 How It Works:
Calculates a primary EMA line (OV) and a sub-component to compare against (OV2)
Determines the trend based on whether OV is above or below OV2
Shifts the EMA line above price during bearish trends and below price during bullish trends
The offset is percentage-based and scales dynamically with the price for optimal readability
✅ Ideal For:
Trend-followers seeking visual clarity
Discretionary traders who want less clutter and more signal
Anyone who likes their EMAs with a little more flair and insight
🛠️ Author: @alphainvestor123
This tool was crafted with simplicity and clarity in mind. If you enjoy the indicator, consider dropping feedback or sharing your use case!
Volumatic Trend [ChartPrime]
A unique trend-following indicator that blends trend logic with volume visualization, offering a dynamic view of market momentum and activity. It automatically detects trend shifts and paints volume histograms at key levels, allowing traders to easily spot strength or weakness within trends.
⯁ KEY FEATURES
Trend Detection System:
Uses a custom combination of weighted EMA (swma) and regular EMA to detect trend direction.
A diamond appears on trend shift, indicating the starting point of a new bullish or bearish phase.
Volume Histogram Zones:
At each new trend, the indicator draws two horizontal zones (top and bottom) and visualizes volume activity within that trend using dynamic histogram candles.
Gradient-Based Candle Coloring:
Candle color is blended with a gradient based on volume intensity. This helps highlight where volume spikes occurred, making it easy to identify pressure points.
Volume Summary Labels:
A label at the end of each trend zone displays two critical values:
- Delta: net volume difference between bullish and bearish bars.
- Total: overall volume accumulated during the trend.
⯁ HOW TO USE
Monitor diamond markers to identify when a new trend begins.
Use volume histogram spikes to assess if the trend is supported by strong volume or lacking participation.
A high delta with strong total volume in a trend indicates institutional support.
Compare gradient strength of candles—brighter areas represent higher-volume trading activity.
Can be used alone or combined with other confirmation tools like structure breaks, liquidity sweeps, or order blocks.
⯁ CONCLUSION
Volumatic Trend gives you more than just trend direction—it provides insight into the force behind it. With volume-graded candles and real-time histogram overlays, traders can instantly assess whether a trend is backed by conviction or fading strength. A perfect tool for swing traders and intraday strategists looking to add volume context to their directional setups.
SUPeR TReND 2.718An evolved version of the classic Supertrend, SUPeR TReND 2.718 is built to deliver elegant, high-precision trend detection using Euler's constant (e = 2.718) as its default multiplier. Designed for clarity and visual flow, this indicator brings together smooth line work, intelligent color logic, and a minimalistic tally system that tracks trend persistence — all in a highly customizable, overlay-ready format.
Unlike traditional implementations, this version maintains line visibility regardless of fill opacity, ensuring crisp tracking even in complex environments. Ideal for traders who value both aesthetics and actionable structure.
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🔑 Key Features:
- 📐 ATR-based Supertrend with default multiplier = e (2.718)
- 📉 Dynamic trend line with optional fill beneath price
- ⏳ Trend duration tally label (count-only or full format)
- ⬆️ Higher-timeframe Supertrend overlay (optional)
- 🟢 Directional candle coloring for clarity
- 🟡 Subtle anchor line to guide perception without clutter
- ⚙️ PineScript v6 compliant, efficient and modular
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🧠 Interpretation Guide:
- The Supertrend line tracks trend support or resistance — beneath price in uptrends, above in downtrends.
- The shaded fill reflects direction with 70% transparency.
- The trend tally label counts how long the current trend has lasted.
- Candle colors confirm direction without overtaking price action.
- The optional HTF line shows higher-timeframe context.
- A soft yellow anchor line stabilizes the fill relationship without distraction.
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⚙️ Inputs & Controls:
- ✏️ ATR Length – Volatility lookback
- 🧮 Multiplier – Default = 2.718 (Euler's number)
- 🕰️ Higher Timeframe – Choose your bias frame
- 👁️ Show HTF / Main – Toggle each trend layer
- 🧾 Show Label / Simplify – Show trend duration, with or without arrows
- 🎨 Color Candles – Turn directional bar coloring on or off
- 🪄 Show Fill – Toggle the shaded visual rhythm
- 🎛️ All visuals use tuned colors and transparencies for clarity
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🚀 Best Practices:
- ✅ Works on any time frame; shines on 1h v. 1D
- 🔁 Use the HTF line for macro bias filtering
- 📊 Combine with volume or liquidity overlays for edge
- 🧱 Use as a structural base layer with minimalist stacks
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📈 Strategy Tips:
- 🧭 MTF Trend Alignment: Enable the HTF line to filter trades. If the HTF trend is up, only take longs on the lower frame, and vice versa.
- 🔁 Pullback Entries: During a strong trend, consider short-term dips below the Supertrend line as possible re-entry zones — only if HTF remains aligned.
- ⏳ Tally for Exhaustion: When the bar count exceeds 15+, look for confluence (volume divergence, key levels, reversal signals).
- ⚠️ HTF Flip + Extended Trend: When the HTF trend reverses while the main trend is extended, that may be a macro exit or fade signal.
- 🚫 Solo Mode: Disable HTF and use the main trend + tally as a standalone signal layer.
- 🧠 Swing Setup Friendly: Especially powerful on 1D or 1h in swing systems or trend-based grid strategies.
