Segment 4h modifiable via inputsSegment 4h modifiable via inputs : pour positionner un segment n'importe ou en modifiant le prix pour la hauteur dans la configuration et déplaçable facilement à la souris temporellement.
4-hour segment modifiable via inputs: to position a segment anywhere by modifying the price for the height in the configuration and easily movable with the mouse in terms of time
อินดิเคเตอร์และกลยุทธ์
Gann Square (Weekly) + Auto-Fit Helper v6Helps show best fit for the Gann Square on the weekly log scale chart
14SMA13 20/30/50 First Order AppearanceIn white, it's a buy signal, and in orange, it's a sell signal.
The signal is given when the simple moving averages 20+30+50 cross.
To confirm entry, wait for a volume candle that breaks through the 50-period simple moving average of volume, whether for buying or selling.
You set your selling targets according to your own analysis method.
Levels by EVThis indicator plots a clean set of commonly used reference levels on the chart, including the prior day high and low (PDH/PDL), the current day open (DO), prior week high and low (PWH/PWL), prior month high and low (PMH/PML).
Daily, weekly, and monthly levels are sourced from their respective higher timeframes to keep the values stable and consistent across intraday charts. Session ranges are calculated using a selectable timezone and are updated in a controlled way to avoid unnecessary object creation and chart clutter. An optional setting allows developing session highs and lows to update while the session is active, or you can keep session levels fixed once the session ends.
Use these levels as context for liquidity, support/resistance, and session structure. Labels can be enabled or disabled, and can optionally be kept on the right edge so the chart remains readable on any zoom level.
Precision Trend Signal V5Strategy Logic OverviewThis indicator is a "Triple-Confirmation" trend-following system. It combines volume-weighted smoothing, immediate price action, and momentum filtering.1. Core ComponentsEMA 1 (The Trigger): Since the period is set to 1, this represents the raw price action. It acts as the fastest possible trigger to capture entries at the exact moment a trend shifts.SALMA (The Baseline): This is a double-smoothed moving average. It provides a stabilized support/resistance line that filters out market noise better than a standard SMA.Tillson T3 (The Trend Filter): Known for its low lag and extreme smoothness. We use this as a "Guardrail." We only take BUY signals when price is above the T3 and SELL signals when price is below it.RSI (The Momentum Filter): Ensures that we only enter a trade when there is sufficient strength ($> 50$ for Long, $< 50$ for Short).2. Signal Rules🚀 BUY SignalA green BUY label appears when:Crossover: EMA 1 crosses above the SALMA line.Trend: The current price is trading above the Tillson T3 line.Momentum: RSI is greater than 50.🔻 SELL SignalA red SELL label appears when:Crossunder: EMA 1 crosses below the SALMA line.Trend: The current price is trading below the Tillson T3 line.Momentum: RSI is less than 50.3. Execution & ManagementTake Profit (TP): Based on your preference, the suggested target is 2%.Alerts: The script includes alertcondition functions. You can set up TradingView alerts to send Webhooks to your quant infrastructure or bot, solving the "manual execution" problem you mentioned.
Volume Bubbles by EV Volume Bubbles visualizes high-activity candles using chart bubbles placed at an estimated intrabar origin point derived from lower timeframe data. When enabled, the script uses lower timeframe OHLC to approximate directional volume delta and selects an origin candle inside the parent bar using one of several methods. A relative-volume filter based on the parent bar can be used to reduce noise, and bubble size can be mapped to relative volume to highlight unusually active bars. If intrabar data is unavailable, the script can fall back to placing bubbles on the parent bar to keep behavior consistent. For best stability, the “Only confirmed bars” option is recommended.
eBacktesting - Learning: FVGeBacktesting - Learning: FVG is an indicator in the eBacktesting Learning series: a collection of tools designed to help new traders understand the most important concepts in trading through clear, visual examples directly on the chart.
This indicator highlights Fair Value Gaps (FVGs): areas where price moved so quickly that it left behind an imbalance. These zones often act like "magnets" for future price action and can become important areas to watch for reactions, continuations, or reversals.
To keep the chart clean and the learning process practical, FVGs are only displayed when they remain relevant, meaning they are not instantly cleared by the very next candle. This helps beginners focus on the imbalances that actually persist and are more likely to matter.
Each FVG is drawn as a zone with a midpoint line and will visually update as price interacts with it:
Touched when price trades into the zone
Filled when price completely clears the zone
These indicators are built to pair perfectly with eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
SMA by EVEV Simple Moving Average (SMA) is a lightweight, open-source SMA indicator with configurable length, price source, and visual offset. It is designed to provide a clean moving-average reference for trend context and mean reversion workflows on any market and timeframe. The offset parameter shifts the plotted line for visualization only and does not affect the underlying calculation.
LogTrend Retest EngineLogTrend Retest Engine (LTRE)
LogTrend Retest Engine (LTRE) is an advanced trend-continuation overlay designed to identify high-probability breakout retests using logarithmic regression , volatility-adjusted deviation bands , and market regime filtering .
Unlike traditional channels or moving averages, LTRE models price behavior in log space , allowing it to adapt naturally to exponential market moves common in crypto, indices, and long-term trends.
🔹 How It Works
Logarithmic Regression Core
Performs linear regression on log-transformed price and time
Produces a structurally accurate trend midline that scales with price growth
Volatility-Adjusted Deviation Bands
Dynamic upper and lower zones based on statistical deviation
ATR weighting expands or contracts bands as volatility changes
Adaptive Lookback (Optional)
Automatically adjusts regression length using volatility pressure
Faster response in high-volatility environments, smoother in consolidation
🔹 Market Regime Detection
LTRE actively filters conditions using:
R² trend strength (trend quality, not just slope)
Volatility compression vs expansion
User-defined minimum trend strength threshold
Signals are disabled during ranging or low-quality conditions .
🔹 Breakout → Retest Signal Logic
LTRE does not chase breakouts.
Signals trigger only when:
1. Price breaks cleanly outside the deviation band
2. Market regime is confirmed as trending
3. Price performs a controlled retest within a user-defined tolerance
BUY
Break above upper band → retest → trend confirmed
SELL
Break below lower band → retest → trend confirmed
This structure is designed to reduce false breakouts and late entries.
🔹 Visual & Projection Tools
Clean midline and deviation bands
Optional filled zones
Optional future trend projection for forward structure planning
On-chart statistics for trend strength and volatility compression
🔹 Best Use Cases
Trend continuation & pullback strategies
Crypto, Forex, Indices, and equities
Works best on 15m and higher timeframes
⚠️ Disclaimer
LTRE is a decision-support tool , not a complete trading system. Always use proper risk management and confirm signals with additional structure, volume, or higher-timeframe context.
Built for traders who wait for structure — not noise.
Adaptive Log Trend Zones + Retest SignalsAdaptive Log Trend Zones + Retest Signals
Adaptive Log Trend Zones is a trend-following overlay built to identify high-probability breakout retests in strong market conditions. It combines logarithmic regression , volatility-adaptive behavior , and ATR-based trend zones to help traders stay aligned with dominant momentum while avoiding chop.
🔹 Core Features
Logarithmic Regression Midline
Uses linear regression on log price to better handle exponential market moves
Produces smoother, more realistic trend structure on higher timeframes
Volatility-Adaptive Lookback
Automatically expands or contracts the regression length based on ATR volatility
Reacts faster in high volatility, smoother in consolidation
Dynamic Trend Zones
Upper and lower bands are ATR-adjusted and trend-colored
Optional future projection for visual trend guidance
Breakout → Retest Signal Logic
Detects clean breakouts beyond the trend zone
Waits for a controlled pullback (retest) before signaling
Signals only trigger when trend strength is confirmed
Trend Quality Filter
Internal regime detection filters out low-quality, sideways conditions
Uses slope strength and volatility compression to validate entries
🔹 Signals
BUY : Bullish breakout followed by a valid retest in a trending regime
SELL : Bearish breakout followed by a valid retest in a trending regime
Signals are designed for trend continuation , not mean reversion.
🔹 Best Use Cases
Crypto, Forex, and Index markets
Higher timeframes (15m+ recommended)
Trend continuation and pullback strategies
⚠️ Notes
This indicator is not a standalone trading system . Always use proper risk management and confirm signals with structure, volume, or higher-timeframe context.
Designed for traders who prefer structure, patience, and momentum alignment.
CIRRUS strategyVWAP EMA CROSS VOLUME STRATEGY WITH TIME FILTER
with this indicator you will be able to use a free strategy using selected volume , emas and vwaps using the timeframe filter too
TDPOWERSYS vs Market-Cap Weighted Peersfor QIC - UnCut Diamonds team..
to compare one company vs its peers bundled as basket.
editable..
Daily Extension from 50DMA (adjustable) in ATR%Indicator to easily spot over extended prices in relation to ATR.
ATR or ADR easily referenced
Free cash flow yield (Quarterly)Indicator: Free Cash Flow Yield (Quarterly) — Technical Description
Purpose
This indicator plots Free Cash Flow Yield (FCF Yield) using quarterly fundamentals and optionally adjusts it for dilution. It also computes trailing averages over multiple horizons (in quarters) to give a long-term valuation context.
Data Sources
All fundamentals are pulled from TradingView’s financial dataset using:
request.financial(syminfo.tickerid, , "FQ", barmerge.gaps_on)
Where:
"FQ" = Quarterly frequency
barmerge.gaps_on = keeps values as step-like series (updates only when new quarterly data is available)
Financial fields used:
FREE_CASH_FLOW (FCF)
ENTERPRISE_VALUE (EV)
TOTAL_SHARES_OUTSTANDING
DILUTED_SHARES_OUTSTANDING
Market cap is derived (not pulled directly in this version):
marketCap = totalSharesOutstanding * close
(Only used as a reference in the script; the yield itself is based on EV.)
Core Calculation
1) FCF Yield (Net)
The base yield is:
FCF Yield
(
%
)
=
FCF
Enterprise Value
×
100
FCF Yield(%)=
Enterprise Value
FCF
×100
Implementation detail:
If FCF is na or EV is na or EV == 0, the result is set to na to avoid division errors.
Dilution Adjustment (Optional Series)
2) Dilution Ratio
The script estimates dilution impact using:
dilutionRatio
=
Total Shares Outstanding
Diluted Shares Outstanding
dilutionRatio=
Diluted Shares Outstanding
Total Shares Outstanding
Notes:
If dilutedSharesOutstanding is missing or zero, the ratio becomes na.
3) Diluted FCF Yield
If the ratio indicates dilution (<= 1), yield is scaled down:
FCF Yield Diluted
=
FCF Yield
×
dilutionRatio
FCF Yield Diluted=FCF Yield×dilutionRatio
Else (ratio > 1 or na), the script defaults to the net yield:
FCF Yield Diluted
=
FCF Yield
FCF Yield Diluted=FCF Yield
Practical interpretation:
More dilution → lower ratio → lower diluted yield.
If dilution fields are not reliable for a ticker, the script falls back to the base yield.
Plotting
Two series are shown:
FCF Yield Net: plotted as columns (bars)
FCF Yield Diluted: plotted as an area overlay
This makes it easy to see:
Step changes when new quarter data arrives
Whether dilution meaningfully reduces the yield
Labels (Per-bar)
When fcfYieldDiluted > 0, the script prints the value as a percentage label at the yield level.
Important technical point:
Since fcfYieldDiluted is computed as a number like 8.5 for 8.5%, labels convert to percent format by dividing by 100 before formatting:
str.tostring(fcfYieldDiluted / 100, format.percent)
Rolling History & Averages
1) Rolling storage
The script maintains a rolling array of the most recent 40 quarterly values:
40 quarters ≈ 10 years
Each time a non-NA quarterly yield appears:
It pushes it into the array
If array length exceeds 40, it removes the oldest value
2) Trailing averages (quarter windows)
Averages are computed over the most recent N quarters:
1Q (latest quarter value)
4Q ≈ 1 year
8Q ≈ 2 years
20Q ≈ 5 years
40Q ≈ 10 years
If fewer than N values exist, that average is na.
End-of-chart Summary Label
On the last bar (barstate.islast), the script draws a summary label containing the trailing averages listed above.
Placement logic
The label is positioned slightly to the right of the current bar:
Uses frequencyUnit (estimated number of chart bars per quarter) to offset the label into the future.
frequencyUnit is computed as:
frequencyUnit
≈
Seconds in 12 months
Seconds per chart bar
÷
4
frequencyUnit≈
Seconds per chart bar
Seconds in 12 months
÷4
This is only for visual spacing, not calculation correctness.
Limitations / Notes
The yield series is “step-like” and updates only when new quarterly fundamentals are available.
For some tickers, TradingView fundamentals (especially diluted shares) can be missing or inconsistent; the script protects against this by returning na or falling back to the net yield.
EV-based yield can differ from market-cap-based yield; EV includes debt and cash effects, so it’s closer to an “all-capital” valuation measure.
Live Candle Range Position SizerThis script displays a fixed execution HUD on the chart that continuously measures the current candle range (high–low) and automatically calculates position size based on a fixed Risk Unit (RU).
Crash Prevention OpenSource by exp3rtsOpen Source Version - no updates!
Crash Prevention OpenSource by exp3rts – Automated Exit Strategy for TradingView
This indicator allows you to automatically close positions based on dynamic price levels derived from the previous candle with a configurable offset. Perfect for risk management and automated “hard stop” exits.
Key Features:
Flexible Exit Directions: Choose to trigger exits for Long, Short, or Both directions.
Dynamic Exit Levels: Lines are automatically calculated above/below the previous candle plus/minus a user-defined offset in points.
Visual Cues: Clear arrows indicate the exact bar where price touched the exit line.
Session-Independent: Works on any chart and timeframe without manual adjustments.
Webhook Alerts: Sends JSON alerts on touch, enabling integration with external systems or bots.
Auto-Close Logic: Ensures positions are closed immediately when the threshold is breached, keeping trades in check.
How it works:
For Long exits, the line is drawn below the previous bar’s low minus the offset.
For Short exits, the line is drawn above the previous bar’s high plus the offset.
When price crosses the line, the position is closed, an arrow is plotted on the chart, and an alert is fired.
Ideal for traders who want strict stop management or automated exit conditions while keeping visual clarity on the chart.
Cloud Gold TrendTrend Filter (Ichimoku): If the price is above the cloud (Kumo), look only for "Long" signals. If it is below, look only for "Short" signals.
Entry Signal (Bollinger): When the price touches the Lower Band while you are above the Cloud, it could be a great buying point in an uptrend.
Volatility Confirmation: If the Bollinger Bands squeeze within the cloud, get ready for a strong directional move as soon as the price breaks one of the two levels.
Triple EMA + Stochastic/ADX# Triple EMA + Stochastic/ADX Breakout Indicator
A professional TradingView indicator designed for trend-following and momentum breakout trading. This system uses a hierarchical confirmation process to ensure high-probability entries and robust trend maintenance.
## 🚀 Core Trading Logic: "The Setup Cycle"
This indicator operates on a **Cycle-Based Logic** rather than simple crossovers. A trade cycle is defined as:
1. **The Setup (Priming)**: A Stochastic crossover (K > D for Long, D > K for Short) initiates a "Setup Mode." This is marked by a small dot (Blue for Long, Orange for Short).
2. **The Confirmation (Trend)**: The systems checks for hierarchical EMA alignment (Fast > Medium > Slow for Longs).
3. **The Trigger (Breakout)**: Once the Setup is active and EMAs are aligned, every **Price Breakout** above the previous high (X-period) triggers a continuous **BUY/SELL mark**.
4. **The Exit (Take Profit/Stop)**: The cycle and trade only end when the Fast EMA crosses back over the Medium EMA (EMA 9/21 crossover).
---
## 🛠 Features
### 1. Triple EMA System
* **Hierarchical Alignment**: Requires Fast > Medium > Slow (9, 21, 50 by default) for a confirmed trend direction.
* **Dynamic Trend Background**: Chart background changes color when a full EMA trend is established.
### 2. Dual Filter System (Stochastic & ADX)
* **Stochastic Setup**: Uses smoothed %K and %D to identify the start of momentum cycles.
* **ADX Filter**: Provides a trend-strength baseline. Default threshold is set to 20 to filter out choppy markets.
### 3. Price Breakout Confirmation
* Requires price to break above/below the previous High/Low of the last X bars (default 10).
* Allows for **continuous entries** within a single trend cycle.
### 4. Robust Exit Strategy
* **EMA Crossover Exit**: The primary exit method. Triggers an "EXIT" flag when the trend momentum shifts.
* **ATR Trailing Stop**: A secondary volatility-based stop that moves with the price. Can be set as the absolute exit or used for visual reference.
### 5. Mean Reversion Mode (Optional)
* Identifies overextended price action (percent deviation from EMA2).
* Signals potential "bounce" or "rejection" trades against the trend.
---
## 📊 Dashboard & Visuals
* **🟢 BUY / 🔴 SELL**: Trend continuation breakout signals.
* **🟠 EXIT / 🟣 EXIT**: Trend reversal/exit signals.
* **🔵/🟠 Small Dots**: Setup priming moments.
* **Real-time Dashboard**: Displays current Setup Status, EMA Alignment, Breakout status, ADX strength, and calculated Stop levels.
---
## ⚙️ How to Customize
| Parameter | Recommended Use |
| :--- | :--- |
| **Breakout Lookback** | Lower (3-5) for aggressive scalping, Higher (10-20) for conservative trends. |
| **Filter Mode** | Choose "Stochastic" for momentum or "ADX" for trend strength preference. |
| **ATR Multiplier** | Reduce (1.5) for tighter stops, Increase (3.0) for wider trend following. |
| **Exit ONLY on EMA** | Enable to stay in trades longer; Disable to exit immediately on ATR stop hits. |
---
## 📥 Installation
1. Open your **Pine Editor** in TradingView.
2. Create a new "Indicator."
3. Copy the code from `Triple_EMA_Stochastic_ADX.pine`.
4. Click **Save** and **Add to Chart**.
---
*Developed for Dhan/MCX/Futures and general Asset Trading.*




















