Linear Average PriceWhat is "Linear Average Price"?
"Linear Average Price" is both a trend and an overbought oversold indicator .
What it does?
it creates a trendline and trading zones.
How it does it?
To create the trend line, it averages the difference between each data and chooses it as the slope of the line it creates. then it positions this line so that it passes right through the middle of the data at hand. It uses standard deviation to create trading zones.
How to use it?
It can be used both to have an idea about the trend direction and to determine buy-sell zones. You can choose how many candles the indicator will calculate from the "lenght" section. The "range" part is the coefficient of the standard deviation and can be used to expand or collapse zones.
Cari dalam skrip untuk "trendline"
Pivot TrendLineThe simplest version of the indicator automatically draws trendLine on your charts, with build-in functions only.
You can change the looking back length settings to get more proper lines you want.
There is also a switch to turn off the historical trendlines.
You can use this to build more advanced indicators or strategies.
ATR Based Trendlines - JDThis script draws trendlines from the pivot points in the price chart.
The angle of the trendlines is determined by (a percentage of) the atr.
The angle follows the change in price, dictated by the atr at the moment where the pivot point is detected.
The atr percentage determines if the trendline follows the rate of change of the atr or a fraction ( value < 100) or a multiple ( value > 100) of that
JD.
#NotTradingAdvice #DYOR
Disclaimer.
I AM NOT A FINANCIAL ADVISOR.
THESE IDEAS ARE NOT ADVICE AND ARE FOR EDUCATION PURPOSES ONLY.
ALWAYS DO YOUR OWN RESEARCH!
NCL Noise FilterOne of our Favorite Indicators - the NeoChartLabs Noise Filter.
FILTER OUT THE NOISE and focus on the moves that matter, toggle the settings to match your preference.
Or switch the Duration Setting to Institutional on a high timeframe (1W+) to locate great spot buying opportunities near cycle tops and bottoms.
Volume Filter: The volume filter automatically turns OFF when you switch to Major Macro Cycle or Institutional Baseline, as those high-timeframe structural breaks are often valid even on lower relative volume.
You can change the volume requirement by checking the volume of the current breakout bar against its Relative Volume (RVOL) - A setting of 0 turns this OFF.
A common professional standard is to require the breakout volume to be at least 1.5x to 2x higher than the 20-period average volume.
*we recommend using a higher volume setting on low timeframes under the 4HR to reduce false signals.
MTF Filter:
*we recommend to set at least 1 timeframe above your trade (i.e if you enter on the 2hour set to the 4 hour)
It prevents entering trades that are essentially minor pullbacks in a much larger opposing trend.
By integrating a higher timeframe EMA (e.g., a 200-period EMA from a 4x higher timeframe), you can filter out counter-trend trades that have a higher probability of failing.
ATR Filter:
Filters "Fake-Outs": It forces the price to not just "touch" the trendline, but to break it with enough force to clear the current average volatility.
Adaptive: Unlike a fixed pip/dollar amount, the ATR adjusts to the asset. On Bitcoin, the threshold might be $500; on a penny stock, it might be $0.05.
Bullish Cross: The price must close above the support trendline + (0.5 * ATR).
Bearish Cross: The price must close below the resistance trendline - (0.5 * ATR).
MACD Filter:
Bullish Crosses require the MACD Histogram to be increasing (showing positive momentum acceleration).
Bearish Crosses require the MACD Histogram to be decreasing (showing negative momentum acceleration).
RSI Filter:
Bullish Breakout (Cross of the lower/support trendline): You would want the RSI to be rising or above 50, showing that buyers are in control.
Bearish Breakdown (Cross of the upper/resistance trendline): You would want the RSI to be falling or below 50, showing sellers are in control.
Market Structure Shifts (CHoCH) - identifying Trends with bullish/bearish dashed horizontal lines for each CHoCH providing a cleaner visualization of the support or resistance level that price has just violated.
Duration Table for 1Week Charts
Trading Style Fractal Length (p) Pattern Span Confirmation Delay
Standard Swing 2 5 Weeks 2 Weeks
Intermediate Trend 5 11 Weeks 5 Weeks
Major Macro Cycle 10–20 21–41 Weeks 10–20 Weeks
Institutional Baseline 44 ~2 Years ~10 Months
Adaptive Trend Mapper-ATM (Arjo)Adaptive Trend Mapper (ATM) is a multi-factor trend, momentum, and compression-analysis tool designed to help traders visually map the strength and direction of market pressure.
Instead of simply combining existing indicators, ATM creates a new composite framework that blends momentum imbalance, directional strength, volatility contraction, and adaptive smoothing into a single, unified model.
Originality and usefulness
Adaptive Trend Mapper (ATM) does not replicate any one indicator.
It generates two custom indices— Bull Pressure Index and Bear Pressure Index —derived from a mathematical combination of RSI, inverse-RSI, and ADX. These indices behave differently from traditional oscillators:
They represent directional pressure on a 0–100 scale , not momentum.
They are designed to converge/diverge, forming a basis for the built-in Squeeze Detection Engine.
They can be optionally step-compressed , making the movement easier to read on fast or small charts.
The script also integrates a custom SuperSmoother trend model (not TradingView’s built-in function), which acts as an adaptive trend curve on the chart.
All calculations are combined intentionally—not as a mashup—to create a framework that allows traders to understand trend strength, compression phases, and micro-trend shifts in one place.
How the Indicator Works
1. Bull & Bear Pressure Indices:
These indices measure directional imbalance:
Bull Index = ADX strength weighted against inverse-RSI
Bear Index = ADX strength weighted against normal RSI
This produces two opposing pressure curves that rise or fall depending on whether buyers or sellers dominate.
You can optionally smooth these using:
SMA / EMA / WMA / RMA via the “Smoothing Settings” panel.
2. Squeeze & Compression Detection:
A squeeze is detected when:
ADX stays below a user-defined threshold
Bull–Bear Index difference shrinks
Average difference is falling (convergence)
This is a volatility-contraction model inspired by squeeze logic but applied to directional pressure, not Bollinger Bands/Keltner Channels .
3. Adaptive Trend Curve (SuperSmoother Engine)
The indicator applies a two-pole SuperSmoother filter to the price, then smooths it again using EMA.
The slope color flips between bullish and bearish and is displayed using:
A thin SuperSmoother curve
A thicker band for visual context
4. EMA-50 Trend Context:
An optional EMA-50 helps identify broad directional bias .
5. Step-Based Scaling
You can quantize the Bull/Bear indices using custom step intervals.
This makes the indicator easier to read on noisy intraday charts.
How to Use the Indicator
1. Trend Analysis
A rising Bull Index shows strengthening upward pressure
A rising Bear Index shows strengthening downward pressure
Wide divergence between the indices signals a strong trend
2. Compression / Squeeze Analysis
Yellow background = volatility compression + pressure convergence
Breakouts from this zone often precede directional expansion
3. Trendline Reading
SuperSmoother line color flip = micro trend shift
EMA-50 slope gives macro-trend direction
Perfect for combining trend and momentum maps on the same chart
4. Visual Interpretation
Cyan/teal → strong bullish pressure
Purple/red/orange → various levels of bearish control
Neutral/teal background → weak ADX
Yellow background → squeeze zone
Open-Source Notes
This script uses:
TradingView built-in RSI, ADX/DMI, and smoothing functions
A SuperSmoother implementation based on known DSP filter coefficients
All remaining logic, signal methods, composite indices, and compression model are original developments by ARJO .
The script is published open-source to comply with TradingView’s reuse policy.
Disclaimer
This tool is for educational and analytical purposes only.
It does not generate buy or sell signals.
Always use proper risk management.
Happy Trading (ARJO)
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
Instantaneous Trendline with Cloud Instantaneous Trendline with Cloud
Introduction & History
The Instantaneous Trendline was introduced by John Ehlers, a well-known figure in the field of technical analysis, particularly for applying digital signal processing concepts to financial markets. Ehlers aimed to create an indicator that reacts to market price changes more quickly than traditional moving averages, yet remains smooth enough to avoid excessive noise. By incorporating concepts from digital filtering, he devised a formula that calculates a trendline with minimal lag—hence the term “instantaneous.”
Purpose
The primary purpose of the Instantaneous Trendline with Cloud is to provide traders and analysts with a responsive, smoothed line that closely follows market price movements. Additionally, this script enhances the visual cues by adding a cloud fill to highlight bullish and bearish zones:
Trend Identification
The ITL (Instantaneous Trendline) is plotted alongside the price. When price consistently stays above the ITL, it may signal an uptrend. Conversely, when price dips below the ITL, it can suggest a downtrend.
Signal Generation
Crossover points between the price and the ITL can serve as potential entry or exit signals. A bullish crossover (price moving above the ITL) often indicates the start of upward momentum, while a bearish crossover (price dropping below the ITL) may point to downward momentum.
Noise Reduction
By applying digital filtering concepts and smoothing through the alpha (smoothing coefficient), the ITL reduces noise while still responding relatively quickly to price changes. Traders can adjust alpha to make the trendline more reactive (higher alpha) or smoother (lower alpha).
Clarity via Cloud Fill
A color-coded cloud between the price and the ITL provides an at-a-glance view of market bias. The green cloud highlights potentially bullish phases, while the red cloud highlights potentially bearish phases.
Experiment with the alpha value (commonly between 0.2 and 0.3) to find a balance that suits your preference for responsiveness versus smoothness.
This indicator implements John Ehlers’ Instantaneous Trendline concept and plots a smoothed trendline (ITL) alongside the price. The trendline is controlled by a user-defined smoothing coefficient (alpha). A higher alpha makes the trendline respond more quickly to price changes, while a lower alpha produces a smoother line.
A color-filled cloud helps traders identify bullish and bearish conditions:
Green cloud if the price is above the ITL (bullish potential).
Red cloud if the price is below the ITL (bearish potential).
Key Benefits
Trend Visualization: Quickly see if the market is in an uptrend or downtrend based on the position of the price relative to the trendline.
Crossover Signals: Identify potential shifts in trend or momentum when the price crosses the ITL.
Customizable Sensitivity: Adjust the alpha parameter to make the ITL more or less reactive to price moves. Use this tool to better visualize short-term trend changes and potential entry/exit signals in conjunction with other technical analysis methods.
Time Anchored Intraday High/Low TrendlineOftentimes, intraday trendlines that are started at specific times, e.g. 8:00am or market open 9:30am, are well respected throughout the trading day.
This indicator draws up tp 3 intraday trendlines that are anchored at user defined times, respectively at the corresponding candle's high and low points.
From there, the line*s xy2 are connected in a way that all following candles are enclosed.
Cnagda Trading ToolCnagda Trading Tools - complete set of intraday trading
1. Trendline breakout based On ATR.
2. Live RSI, volume/candle average 20 Periods, trend direction last 34 periods, and some useful dashboard features.
3. Ma Scalp Line provide trend support and resistance + Where Line More Flat Previous Time You Also Use That Range As Support And Resistance
4. RSI based POC ( Point Of Control) indicate high Volume Area like fixed Range Volume profile
5. London session breakout with buy/sell Signal and NewYork session opening half hour range breakout with Buy/sell signal
Ma Scalp Buy And Sell Signal For Short term Scalping ( 5 Min Timeframe) Based on Ema And Wma Crossover
I hope these tools will improve your trading, but you should trade only after proper research, this indicator is not responsible for any loss.
Pivot TrendLine with typeIntro
The simplest version of the indicator automatically draws trendLine on your charts, with newest Type syntax.
Type is some thing like type or interface in typescript or Structure in Clang.
with type key word you can write more clear code in pinescript.
Usage
You can change the looking back length settings to get more proper lines you want.
There is also a switch to turn off the historical trendlines .
You can use this to build more advanced indicators or strategies.
HMA-Kahlman Trend & Trendlines (v.2)This is an upgrade to the HMA-Kahlman Trend & Trendlines script ().
This version gives more flexibility because you can play around with 2 parameters to Kalman function (Sharpness and K (aka. step size)).
Interactive trendlineThis is a concept that I have been playing with
to make a manual trend line that has more then just two connecting dots
but that has sequential data connected on every bar between the
beginning an the end point that can then be used to determine a break of trend or
a bounce.
This is added in a few simple steps
1) add the indicator to your chart
2) set the x_1 time bar
3) set the y_1 price
4) set the x_2 time bar
5) set the y_2 price
6) check the table that calculated the run value and enter that value in the settings box in the "Run" input box
[_ParkF]Linreg & Trendlines* The script has been uploaded again.
Linear regression and trendline not only facilitate trend identification,
but also identify support and resistance within it,
and linear regression and trendline departure can detect trend changes, which are useful in trading.
Linear regression and trend lines are shown in the chart.
It offers a variety of options, length, color, thickness, on/off switch, etc.
I hope it will help you with your trading.
hope you become rich!
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* 스크립트가 다시 업로드 되었습니다.
선형 회귀(채널) 및 추세선은 추세 식별을 용이하게 할 뿐만 아니라,
또한 그 안에서 지지와 저항을 식별하고,
선형 회귀(채널) 및 추세선 이탈은 거래에 유용한 추세 변화를 감지할 수 있습니다.
선형 회귀(채널) 및 추세선이 차트에 표시됩니다.
길이, 색상, 두께, 온/오프 스위치 등 다양한 옵션을 제공합니다.
거래에 도움이 되셨으면 합니다.
부자되세요!
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* I would like to express my gratitude to zdmre for revealing the linear regression source.
ALMA TrendlineThis is a simple indicator to make ALMA Trendline to be used as STOP LOSS guidance in trending market. The trendline will change color from GREEN to RED and vice versa once price crossing down or crossing up the trendline.
HMA-Kahlman Trend, DifferenceFilter & TrendlinesThis update to the previous HMA-Kahlman Trend, Clipping & Trendlines script features the same structure with the three modules:
- Trendlines module,
- NEW Winsorizing submodule using difference-based filtering.
- HMA-Kahlman Trend module.
The Winsorizing submodule filters signals by a volume level, eliminating the ones with the volume below a threshold. This module substitutes the previous 'low-level' filtering implementation. This time it filters out based on difference between scaled volume and its moving average.
Tested with BTCUSD.
HMA-Kahlman Trend, Clipping & TrendlinesThis script utilizes three modules:
- Trendlines module (by Joris Duyck),
- Winsorizing submodule and
- HMA-Kahlman Trend module.
The Trendlines module produces crossovers predictive of the next local trend. The Winsorizing (clipping) submodule filters signals by a volume level, eliminating the ones with the volume below a threshold. The last feature obviously does not work with the assets not supporing Volume, so set the Winsorizing submodule to false. The Winsorizing and Trendlines modules can be turned off.
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.
Fibonacci TrendlinesCOINBASE:ETHUSD
This indicator is bested with the 4 hour time frame.
This indicator shows 4 EMA trendlines based on the Fibonacci Sequence (8, 13, 21, 55). If the 8, 13, 21 trendlines crosses above the 55 and the volume is high, this is an indication for a long position. If the 8, 13, 21 crosses below the 55 (volume doesn't matter), this is an indication to exit the long position or an indication for a short position.
Click Draw TrendLine [UhoKang] v2
This is an indicator that directly draws a trend line by clicking on the candle.
Click to Create Trend lines !!
Create a trend line by connecting A, B, and C with three vertices.
1. Draw Bear Trend line
Click pivot high : First pivothigh of the downtrend line
Click pivot low : pivotlow of the downtrend line
Click pivot high : Second pivothigh of the downtrend line
2. Draw Bull Trend line
Click pivot low : First pivotlow of the uptrend line
Click pivot high : pivothigh of the uptrend line
Click pivot low : Second pivotlow of the uptrend line
Modefiy Trendlines
1. Edit Bear Trend line
Drag Red , ,
2. Edit Bull Trend line
Drag Green , ,
Support & Resistance Trendlines with PP + Fib. Channel█ Support & Resistance Trendlines with Pivot Points + Fibonacci Channel
This script automatically draw support and resistance trend lines based on pivot points and add a fibonacci channel.
It will show potential patterns with the help of support and resistance lines as well as breakout target and pullback entry with the fibonacci extension and retracement levels.
It is based on atolelole's script, I only made it more configurable so please check out his script.
I added the possibility to change values and add additional retracement and extension levels.
I also made it customizable with the possibility to change lines color, width and style.
[PX] Level & TrendlinesThe indicator identifies the intermediate fractal pattern, where neighboring fractals are either higher or lower. It plots horizontal level and trendlines based on those fractals and comes with a variety of settings.
If you are looking for someone to develop your on indicator or trading strategy, don't hesitate to get in touch with me here on TradingView or below.
Contact:
www.pascal-simon.de
info@pascal-simon.de
Fibonacci Trendlines 8-200In my opinion best EMA Trendlines there is, simple yet very reliable on any time frame, i found the version that had 8-13-21-55, so i decided to add 100 and 200 for higher time frames enjoy please share and like
Normalized RSI Trendline with DivergencesNormalized RSI Trendline with Divergences
🔹 Overview
The Normalized RSI Trendline with Divergences indicator enhances traditional RSI analysis by normalizing RSI values within a defined range and applying a trend-following approach. It also detects bullish and bearish divergences to highlight potential trend reversals.
🔹 Features
✔ Normalized RSI Calculation – The RSI values are normalized between -1 and 1 to provide a clearer representation of market momentum.
✔ Trend & Center Lines – A trendline based on linear regression and an adaptive moving average (ALMA) for smoother trend visualization.
✔ Divergence Detection – Identifies regular and hidden divergences, displaying signals directly on the chart.
✔ Customizable Parameters – Users can adjust the signal period, lookback range, trend length, and divergence sensitivity to fit different trading strategies.
🔹 How to Use
Trend Following: The trendline helps identify the overall market direction.
Divergence Signals:
🟢 Bullish Divergence (Potential upward reversal)
🔴 Bearish Divergence (Potential downward reversal)
🟩 Hidden Bullish Divergence (Trend continuation signal)
🟧 Hidden Bearish Divergence (Trend continuation signal)
This script is suitable for trend traders, swing traders, and divergence-based strategies. Customize the settings to match your preferred trading style. 🚀
📌 Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always conduct your own analysis before making trading decisions.






















