Ichimoku Multi-Timeframe Heatmap 12/5/2025
Multi-Timeframe Ichimoku Heatmap - Scan Your Watchlist in Seconds
This indicator displays all 5 critical Ichimoku signals (Cloud Angle, Lagging Line, Price vs Cloud, Kijun Slope, and Tenkan/Kijun Cross) across 10 timeframes (15s, 1m, 3m, 5m, 15m, 30m, 1h, 4h, Daily, Weekly) in one compact heatmap table. Instantly spot multi-timeframe trend alignment with color-coded cells: green for bullish, red for bearish, and gray for neutral. Perfect for quickly scanning through your entire watchlist to identify the strongest setups with confluent signals across all timeframes.
Indicatori e strategie
Session Dynamics & Pivot Overlay (Arjo)## **OVERVIEW**
The **Session Dynamics & Pivot Overlay (Arjo)** is a visual analysis tool that displays session-based price ranges, anchored volume-weighted averages, daily pivot levels, and smoothed trend conditions on the chart. It highlights how price interacts with custom sessions, midpoint levels, and dynamic ranges, providing a structured visual layout that helps users observe market behavior over time without implying any form of prediction or trading signal.
## **CONCEPTS**
This indicator incorporates several widely used analytical concepts:
- **Session Ranges:** Identifies user-defined time windows and visually displays their high, low, and midpoint behavior throughout the session.
- **VWAP (Morning Session):** Shows volume-weighted average price calculations for a defined morning period, assisting with visual comparison between price and weighted averages.
- **Daily Pivot Levels:** Displays R1–R2, S1–S2, central pivot, and associated levels derived from prior daily price data.
- **Trend Smoothing:** Uses SuperSmoother filtering and an additional EMA to highlight whether the smoothed trend is rising or falling.
- **EMA + ATR Bands:** Plots a 20-period EMA with upper and lower ATR-derived bands to help visualize short-term price displacement relative to average true range.
All of these elements are presented solely for structural and comparative chart analysis.
## **FEATURES**
- **Custom Session Visualization:** Automatically draws session boxes, capturing the evolving high, low, and midpoint throughout the defined intraday window.
- **Dynamic Midline Calculation:** A midpoint line is updated continuously during the session to visually anchor price within the session’s range.
- **Morning Session VWAP:** Displays a dedicated VWAP line for the morning window with adjustable source and configuration options.
- **Daily Pivot Lines:** Automatically plots pivot, BC/TC, R1–R2, and S1–S2 levels with customizable colors, widths, and line styles.
- **Trend-Responsive Pivot Display:** Optionally toggles visibility of R2 or S2 depending on the direction of the smoothed trend.
- **EMA + ATR Zones:** Renders a 20-EMA and ATR-based support/resistance zone using filled regions for enhanced visual clarity.
- **Full Customization:** Multiple color, transparency, line-style, and display options allow users to adapt the presentation to their charting preferences.
- **Overlay Compatible:** Designed to work directly on price charts without obstructing candles or other overlays.
## **HOW TO USE**
Users can interact with the indicator entirely through the settings panel:
- Adjust session timings to match preferred market hours or custom internal zones.
- Enable or disable the display of pivot levels, VWAP, or the ATR/EMA zone.
- Customize colors and line styles to improve visibility according to the chart background or personal preference.
- Observe how price behaves relative to the session box, midpoint, VWAP, and pivot levels for contextual understanding.
- Utilize the smoothed trend condition to see when the indicator chooses to display certain pivot extensions.
These elements help users interpret chart structure, volatility, and intraday behavior in a visually organized manner.
## **CONCLUSION**
The ** Session Dynamics & Pivot Overlay (Arjo) ** indicator offers a consolidated view of session structure, pivot levels, VWAP, and smoothed trend conditions. Its purpose is to improve visual clarity and assist users in understanding market context without issuing directives or trade suggestions. It functions as an educational tool that enhances chart interpretation and supports structured analysis.
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## **DISCLAIMER**
This indicator is for educational and visual analysis purposes only. It does not provide trading signals, financial advice, or guaranteed outcomes. Users should conduct their own research and consult a licensed financial professional when necessary. All trading decisions are solely the responsibility of the user.
Happy Trading (Arjo)
Bubbles + Clusters + SweepsIndicator For Bubbles + Clusters + Sweeps
✔ Volume bubbles
✔ Delta coloring (green/red intensity)
✔ Auto supply/demand zones
✔ Volume-profile style blocks inside zones
✔ Liquidity sweep markers
✔ Box drawings extending until filled
✔ Optional bubble filters (min-volume threshold)
Aether Market MapAether Market Map A multi-component structure-based tool that aids chart analysis by visually displaying various market structure elements.
It combines order blocks, fair value gaps, liquidity segments, trend-shifting signals, and more to help users interpret the pricing structure more clearly.
This script does not provide specific trading strategies or investment advice and is a reference tool for chart analysis.
🔍 Key Features
1. Order Blocks (OB)
Displays the potential inflection sections in box form according to the specified conditions.
This feature helps to visually grasp the price segments that market participants have repeatedly responded to.
2. Fair Value Gaps (FVG)
It detects the area where the imbalance between the candles has occurred and displays it in a box form.
The area represents the section where there has been a fast movement or abnormal flow of prices.
3. Liquidity Levels
Shapes the points where liquidity was gathered through a short-term high-point and low-point pivot structure.
You can see the structural levels at which prices can react repeatedly.
4. BOS / CHOCH (Structural Change Detection)
Label changes in market structure based on recent high/low breakthroughs.
This is not just trend tracking, it helps us to visually grasp the changes in the structure itself.
📈 Analysis of multi-time frame trends
We compute the comprehensive trend state by leveraging the moving average slope of the swing and macro higher order time frames.
These values are reflected in chart background and EMA color changes to intuitively display the overall market mood.
Positive Environment (Regime > 0) → Green Family
Negative Environment (Regime < 0) → Red Series
This is a simple visualization of the flow of the market to the user, not a specific trading direction.
🔧 Signal Engine (Confluence-Based Visual Tool)
The script does not provide a transaction signal and does not induce a particular trading decision.
The Signal feature is a visual notification element that appears on the chart when a number of conditions overlap.
a change in the ratio of trading volume
Structural activities in recent analysis sections
Trending Environment
short-term momentum change
This feature is a reference visual element for interpreting market data from multiple perspectives.
🎛 Setting Items
Show Order Blocks — Visualize Order Blocks
Show Fair Value Gaps — Show FVG Detection
Show Liquidity Levels — Show pivot-based liquidity areas
Show BOS/CHoCH — Show Structural Switching Points
Show Trade Signals — Display visual signal notifications
HTF Settings — Enter parent timeframe analysis values
💡 Precautions for Use
This script is a market structure visualization tool and does not guarantee specific trading strategies, forecasts, or returns.
Components are calculated based on historical data and may not fully reflect real-time market changes.
All features are intended for research and chart analysis assistance purposes.
📌 Official Disclaimer
This script does not provide investment, finance, or trading advice.
All trading judgments made by the user and their consequences are the user's own responsibility.
This tool only provides a reference visualization function to assist with analysis.
Hyper Insight MA Strategy [Universal]Hyper Insight MA Strategy ** is a comprehensive trend-following engine designed for traders who require precision and flexibility. Unlike standard indicators that lock you into a single calculation method, this strategy serves as a "Universal Adapter," allowing you to **Mix & Match 13 different Moving Average types** for both the Fast and Slow trend lines independently.
Whether you need the smoothness of T3, the responsiveness of HMA, or the classic reliability of SMA, this script enables you to backtest thousands of combinations to find the perfect edge for your specific asset class.
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🔬 Deep Dive: Calculation Logic of Included MAs
This strategy includes 13 distinct calculation methods. Understanding the math behind them will help you choose the right tool for your specific market conditions.
#### 1. Standard Averages
* **SMA (Simple Moving Average):** The unweighted mean of the previous $n$ data points.
* *Logic:* Treats every price point in the period with equal importance. Good for identifying long-term macro trends but reacts slowly to recent volatility.
* **WMA (Weighted Moving Average):** A linear weighted average.
* *Logic:* Assigns heavier weight to current data linearly (e.g., $1, 2, 3... n$). It reacts faster than SMA but is still relatively smooth.
* **SWMA (Symmetrically Weighted Moving Average):**
* *Logic:* Uses a fixed-length window (usually 4 bars) with symmetrical weights $ $. It prioritizes the center of the recent data window.
#### 2. Exponential & Lag-Reducing Averages
* **EMA (Exponential Moving Average):**
* *Logic:* Applies an exponential decay weighting factor. Recent prices have significantly more impact on the average than older prices, reducing lag compared to SMA.
* **RMA (Running Moving Average):** Also known as Wilder's Smoothing (used in RSI).
* *Logic:* It is essentially an EMA but with a slower alpha weight of $1/length$. It provides a very smooth, stable line that filters out noise effectively.
* **DEMA (Double Exponential Moving Average):**
* *Logic:* Calculated as $2 \times EMA - EMA(EMA)$. By subtracting the "lag" (the smoothed EMA) from the original EMA, DEMA provides a much faster reaction to price changes with less noise than a standard EMA.
* **TEMA (Triple Exponential Moving Average):**
* *Logic:* Calculated as $3 \times EMA - 3 \times EMA(EMA) + EMA(EMA(EMA))$. This effectively eliminates the lag inherent in single and double EMAs, making it an extremely fast-tracking indicator for scalping.
#### 3. Advanced & Adaptive Averages
* **HMA (Hull Moving Average):**
* *Logic:* A composite formula involving Weighted Moving Averages: ASX:WMA (2 \times Integer(n/2)) - WMA(n)$. The result is then smoothed by a $\sqrt{n}$ WMA.
* *Effect:* It eliminates lag almost entirely while managing to improve curve smoothness, solving the traditional trade-off between speed and noise.
* **ZLEMA (Zero Lag Exponential Moving Average):**
* *Logic:* This calculation attempts to remove lag by modifying the data source before smoothing. It calculates a "lag" value $(length-1)/2$ and applies an EMA to the data: $Source + (Source - Source )$. This creates a projection effect that tracks price tightly.
* **T3 (Tillson T3 Moving Average):**
* *Logic:* A complex smoothing technique that runs an EMA through a filter multiple times using a "Volume Factor" (set to 0.7 in this script).
* *Effect:* It produces a curve that is incredibly smooth and free of "overshoot," making it excellent for filtering out market chop.
* **ALMA (Arnaud Legoux Moving Average):**
* *Logic:* Uses a Gaussian distribution (bell curve) to assign weights. It allows the user to offset the moving average (moving the peak of the weight) to align it perfectly with the price, balancing smoothness and responsiveness.
* **LSMA (Least Squares Moving Average):**
* *Logic:* Calculates the endpoint of a Linear Regression line for the lookback period. It essentially guesses where the price "should" be based on the best-fit line of the recent trend.
* **VWMA (Volume Weighted Moving Average):**
* *Logic:* Weights the closing price by the volume of that bar.
* *Effect:* Prices on high volume days pull the MA harder than prices on low volume days. This is excellent for validating true trend strength (i.e., a breakout on high volume will move the VWMA significantly).
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### 🛠 Features & Settings
* **Universal Switching:** Change the `Fast MA` and `Slow MA` types instantly via the settings menu.
* **Trend Cloud:** A dynamic background fill (Green/Red) highlights the crossover zone for immediate visual trend identification.
* **Strategy Mode:** Built-in Backtesting logic triggers `LONG` entries when Fast MA crosses over Slow MA, and `EXIT` when Fast MA crosses under.
### ⚠️ Disclaimer
This script is intended for educational and research purposes. The wide variety of MA combinations can produce vastly different results. Past performance is not indicative of future results. Please use proper risk management.
N-Consecutive Candle Marker (SMA Filter & Consolidated Alert)Certainly, here is the English version of the Pine Script description for posting on TradingView.
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## 📈 N-Consecutive Candle Marker (SMA Filter & Consolidated Alert)
### 📝 Overview
This indicator automatically displays a **signal mark** on the chart when a user-defined number ($N$) of **consecutive bullish or bearish candles** occurs.
It includes an optional **SMA (Simple Moving Average) filter** to restrict signals to conditions favoring a **short-term counter-trend (reversal) trade**. It also consolidates both bullish and bearish signals into a **single alert mechanism** for simplified management.
### ⚙️ Key Features
#### 1. N-Consecutive Candle Detection
* **Consecutive Count (N)**: The indicator detects continuous candles of the same color based on the `Consecutive Candle Count (N)` input setting.
* **Bullish Signal (Red Marker)**: A mark is placed above the high of the closing candle after the bullish sequence is complete.
* **Bearish Signal (Blue Marker)**: A mark is placed below the low of the closing candle after the bearish sequence is complete.
#### 2. SMA Filter (Counter-Trend Logic)
When **`Use SMA Filter`** is enabled, the signal conditions are filtered against the SMA, which focuses on potential **short-term bounces or pullbacks** against the broader trend.
* **Bullish Signal Condition**: The consecutive bullish candles must close **below** the SMA (`close < sma_value`). This typically targets a bounce in a downtrend.
* **Bearish Signal Condition**: The consecutive bearish candles must close **above** the SMA (`close > sma_value`). This typically targets a pullback/dip in an uptrend.
#### 3. Performance & Alert Consolidation
* **Display Limit**: Enabling **`Use Display Limit`** restricts the plotted marks to the **last N bars** defined by `Limit Display to Last N Bars`. This automatically deletes old labels, helping to **maintain chart performance**.
* **Consolidated Alert**: Both bullish and bearish signals trigger the same **single `alert()` function**, simplifying the process of setting up notifications in TradingView.
### 💡 How to Use
1. Add the indicator to your chart.
2. Set the **`Consecutive Candle Count (N)`** to your desired number of consecutive bars (e.g., 3, 4, etc.).
3. If you want to use the reversal filter, switch **`Use SMA Filter (On/Off)`** to **On**. Adjust the `SMA Period` as needed.
4. In the TradingView alert creation menu, select this indicator and choose **"Any function call"** or **"N-Consecutive Candle Marker (SMA Filter & Consolidated Alert)"** to set up your consolidated alert.
> ⚠️ **Disclaimer**: This indicator detects specific candle patterns. Always combine this signal with other forms of technical analysis and context for making trading decisions.
ご要望いただいたTradingViewに投稿する際のインジケーターの説明文として、機能、使い方、フィルターロジックに焦点を当てた文章を作成しました。
この説明文は、Pine Scriptの公開ライブラリの投稿テンプレートに合わせて、**概要、使い方、主要機能**を明確に伝える構造にしています。
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## 📈 N-Consecutive Candle Marker (SMA Filter & Consolidated Alert)
### 📝 概要 (Overview)
このインジケーターは、設定した本数($N$)の**連続した陽線または陰線**が出現した際に、チャート上に**サイン(マーク)**を自動で表示します。
オプションで**SMA(単純移動平均線)フィルター**を適用することができ、トレンドの状況に応じた**短期的な逆張りサイン**に限定することが可能です。また、陽線サインと陰線サインを**一つのアラート**で統合して通知できるため、管理が容易です。
### ⚙️ 主要機能 (Key Features)
#### 1. N連続ローソク足の検出
* **連続本数の設定 (N)**: `Consecutive Candle Count (N)` の設定値に基づき、連続した同色ローソク足を検出します。
* **陽線サイン (Red Marker)**: 連続陽線が完了した足の高値の上にマークを表示します。
* **陰線サイン (Blue Marker)**: 連続陰線が完了した足の安値の下にマークを表示します。
#### 2. SMAフィルター (逆張りロジック)
`Use SMA Filter` を **オン** にすることで、サインの出現条件にトレンドフィルターを追加します。これは、トレンド方向に対する**一時的な反発・押し目**を狙う、**逆張り的なロジック**を採用しています。
* **陽線サインの出現条件**: 終値がSMAの**下**にある状態で、連続陽線が出現した場合。
* **陰線サインの出現条件**: 終値がSMAの**上**にある状態で、連続陰線が出現した場合。
#### 3. パフォーマンス最適化とアラート統合
* **表示制限**: `Use Display Limit` をオンにすると、描画されるマークの数を**直近のN本**に制限し、古いマークを自動で削除することで、チャート描画の**パフォーマンスを維持**します。
* **統合アラート**: 陽線・陰線どちらのサインが出た場合でも、**単一の `alert()` 関数**でメッセージを出し分けます。これにより、アラート設定をシンプルに保てます。
### 💡 使い方 (How to Use)
1. インジケーターをチャートに追加します。
2. **`Consecutive Candle Count (N)`** を希望する連続本数に設定します(例: 3本連続、4本連続など)。
3. トレンドフィルターを使用したい場合は、**`Use SMA Filter (On/Off)`** をオンに切り替えます。
4. TradingViewのアラート設定画面で、このインジケーターを選択し、**「どんな関数呼び出しでも」**または**「N-Consecutive Candle Marker (SMA Filter & Consolidated Alert)」**を選んでアラートを設定してください。
> ⚠️ **注意点**: このインジケーターは、連続足という特定のパターンのみを検出するものです。トレード判断を行う際は、他のテクニカル分析や環境認識と組み合わせてご利用ください。
Smart Money Concepts by Rakesh Sharma🎯 SMART MONEY CONCEPTS - TRADE WITH INSTITUTIONS
Reveal where banks, hedge funds, and institutional traders enter the market. Trade alongside smart money, not against them!
✨ FEATURES:
- Order Blocks (OB) - Institutional buying/selling zones
- Fair Value Gaps (FVG) - Market inefficiencies to exploit
- Break of Structure (BOS) - Trend continuation signals
- Change of Character (ChoCh) - Early reversal detection
- Liquidity Sweeps - Stop hunt identification
- Premium/Discount Zones - Buy cheap, sell expensive
- Live Dashboard - Real-time market structure
🎯 HOW TO USE:
✓ BUY in Discount Zone at Bullish Order Blocks
✓ SELL in Premium Zone at Bearish Order Blocks
✓ Wait for ChoCh or BOS confirmation
✓ Follow institutional footprints for high-probability setups
📊 PERFECT FOR:
All markets - Nifty, Bank Nifty, Stocks, Forex, Crypto
All timeframes - 5m (scalping), 15m (intraday), Daily (swing)
⚡ TRADING EDGE:
Stop trading like retail. Start trading like institutions. See where smart money accumulates and distributes. Catch reversals early with ChoCh signals.
Created by: Rakesh Sharma | Version 1.0
Candle Leverage OnlyThe Candle Leverage Only indicator displays the maximum theoretical leverage a trader could achieve within each candle, based on the full price movement — from the low to the close (on bullish candles) or from the high to the close (on bearish candles).
Responsive ADX (RADX)Introducing the new Responsive ADX (RADX), running with a (length = 9) and exactly how it differs from the standard built-in ADX you see on TradingView chart.
This indicator is still a true ADX at its core — it measures trend strength from 0 to 100 and uses the classic +DI and –DI lines to show direction — but it has been carefully "tuned" to react noticeably faster while staying smooth and usable. With the length set to 9, it is one of the most responsive versions you can run without turning into noise.
How it behaves differently from the normal (Wilder) ADX
Normal ADX is lagging, now this version gives you the same trend-strength reading 4–8 bars earlier than the built-in ADX. On a daily chart that can easily be 4–8 calendar days of earlier warning. On a 4-hour chart it’s 16–32 hours earlier. That head-start is the whole point.
The ADX line rises and falls much quicker.
When a new trend actually starts, you will often see this Fast ADX cross above 18–20 while the built-in ADX is still sleeping below 15. Conversely, when a trend dies, this version drops faster, so you’re not left holding a dead trade for an extra week.
The +DI and –DI lines are almost identical to the original, but lightly smoothed with a 5-period EMA (you can turn this off). This makes the DI crossovers cleaner and reduces whipsaws without adding meaningful lag.
The final ADX smoothing uses a lightweight Hull-style technique instead of Wilder’s very slow RMA. This is the main “secret sauce” that removes roughly half the lag while keeping the line smooth and readable.
Values are realistic and tradable.
With length 9 you will typically see:
– 0–18 = flat / chop
– 15–20 = emerging trend (background starts colouring)
– 20–50 = strong trend (most people take this as confirmation)
– above 50–60 only in very powerful moves (same as normal ADX)
The aqua / purple background only appears when both conditions are met: the correct DI is on top and Fast ADX is above your chosen “weak-to-trending” level (default 18).
This prevents the background from flashing on and off in sideways markets — exactly the same logic you liked in the original Trinity ADX, but now much earlier.
In very simple terms
Think of the normal built-in ADX as a diesel truck — reliable but slow to accelerate and slow to stop. Fast Responsive ADX with length 9 is the same truck with a turbocharger — same destination and same load capacity, but it gets up to speed twice as fast and brakes earlier when the road turns.
We would recommend people who switch to this version keep the (length 9–12) because the edge in timing is obvious on the chart.
That’s it — this is a new more responsive version, still-logical ADX!
4H Supply & Demand – 50% Mitigation (MTF clean)4H Supply & Demand – 50% Mitigation (MTF clean)
This indicator shows strictly 4h supply & demand zones
automatically deletes any zone that got filled by 51%
RSI Profile [Kodexius]RSI Profile is an advanced technical indicator that turns the classic RSI into a distribution profile instead of a single oscillating line. Rather than only showing where the RSI is at the current bar, it displays where the RSI has spent most of its time or most of its volume over a user defined lookback period.
The script builds a histogram of RSI values between 0 and 100, splits that range into configurable bins, and then projects the result to the right side of the chart. This gives you a clear visual representation of the RSI structure, including the Point of Control (POC), the Value Area High (VAH), and the Value Area Low (VAL). The POC marks the RSI level with the highest activity, while VAH and VAL bracket the percentage based value area around it.
By combining standard RSI, a distribution profile, and value area logic, this tool lets you study RSI behavior statistically instead of only bar by bar. You can immediately see whether the current RSI reading is located inside the dominant zone, extended above it, or depressed below it, and whether the recent regime has been biased toward overbought, oversold, or neutral territory. This is particularly useful for swing traders, mean reversion systems, and anyone who wants to integrate RSI context into a more profile oriented workflow.
🔹 Features
1. RSI-Based Distribution Profile
-Builds a histogram of RSI values between 0 and 100.
-The RSI range is divided into a user-defined number of bins (e.g., 30 bins).
-Each bin represents a band of RSI values, such as 0–3.33, 3.33–6.66, ..., 96.66–100.
-For each bar in the lookback period, the script:
-Finds which bin the RSI value belongs to
Adds either:
-1.0 → if using time/frequency
-volume → if using volume-weighted RSI distribution
This creates a clear profile of where RSI has been concentrated over the chosen lookback window.
2. Time / Volume Weighting Mode
Under Profile Settings, you can choose:
-Weight by Volume = false
→ Profile is built using time spent at each RSI level (frequency).
-Weight by Volume = true
→ Profile is built using volume traded at each RSI level.
This flexibility allows you to decide whether you want:
-A pure momentum structure (time spent at each RSI)
-Or a participation-weighted structure (where higher-volume zones are emphasized)
3. Configurable Lookback & Resolution
-Profile Lookback: number of historical bars to analyze.
-Number of Bins: controls the resolution of the histogram:
Fewer bins → smoother, fewer gaps
More bins → more detail, but potentially more visual sparsity
-Profile Width (Bars): defines how wide the histogram extends into the future (visually), converted into time using average bar duration.
This provides a balance between performance, clarity, and visual density.
4. Value Area, POC, VAH, VAL
The script computes:
-POC (Point of Control)
→ The RSI bin with the highest total value (time or volume).
-Value Area (VA)
→ The range of RSI bins that contain a user-specified percentage of total activity (e.g., 70%).
-VAH & VAL
→ Upper and lower RSI boundaries of this Value Area.
These are then drawn as horizontal lines and labeled:
-POC line and label
-VAH line and label
-VAL line and label
This gives you a profile-style view similar to classical volume profile, but entirely on the RSI axis.
5. Color Coding & Visual Design
The histogram bars (boxes) are colored using a smart scheme:
-Below 30 RSI → Oversold zone, uses the Oversold Color (default: green).
-Above 70 RSI → Overbought zone, uses the Overbought Color (default: red).
-Between 30 and 70 RSI → Neutral zone, uses a gradient between:
A soft blue at lower mid levels
A soft orange at higher mid levels
Additional styling:
-POC bin is highlighted in bright yellow.
-Bins inside the Value Area → lower transparency (more solid).
-Bins outside the Value Area → higher transparency (faded).
This makes it easy to visually distinguish:
-Core RSI activity (VA)
-Extremes (oversold/overbought)
-The single dominant zone (POC)
🔹 Calculations
This section summarizes the core logic behind the script and highlights the main building blocks that power the profile.
1. Profile Structure and Bin Initialization
A custom Profile type groups together configuration, bins and drawing objects. During initialization, the script splits the 0 to 100 RSI range into evenly spaced bins, each represented by a Bin record:
method initBins(Profile p) =>
p.bins := array.new()
float step = 100.0 / p.binCount
for i = 0 to p.binCount - 1
float low = i * step
float high = (i + 1) * step
p.bins.push(Bin.new(low, high, 0.0, box(na)))
2. Filling the Profile Over the Lookback Window
On the last bar, the script clears previous drawings and walks backward through the selected lookback window. For each historical bar, it reads the RSI and volume series and feeds them into the profile:
if barstate.islast
myProfile.reset()
int start = math.max(0, bar_index - lookback)
int end = bar_index
for i = 0 to (end - start)
float r = rsi
float v = volume
if not na(r)
myProfile.add(r, v)
The add method converts each RSI value into a bin index and accumulates either a frequency count or the bar volume, depending on the chosen mode:
method add(Profile p, float rsiValue, float volumeValue) =>
int idx = int(rsiValue / (100.0 / p.binCount))
if idx >= p.binCount
idx := p.binCount - 1
if idx < 0
idx := 0
Bin targetBin = p.bins.get(idx)
float addedValue = p.useVolume ? volumeValue : 1.0
targetBin.value += addedValue
3. Finding POC and Building the Value Area
Inside the draw method, the script first scans all bins to determine the maximum value and the total sum. The bin with the highest value becomes the POC. The value area is then constructed by expanding from that center bin until the desired percentage of total activity is covered:
for in p.bins
totalVal += b.value
if b.value > maxVal
maxVal := b.value
pocIdx := i
float vaTarget = totalVal * (p.vaPercent / 100.0)
float currentVaVol = maxVal
int upIdx = pocIdx
int downIdx = pocIdx
while currentVaVol < vaTarget
float upVol = (upIdx < p.binCount - 1) ? p.bins.get(upIdx + 1).value : 0.0
float downVol = (downIdx > 0) ? p.bins.get(downIdx - 1).value : 0.0
if upVol == 0 and downVol == 0
break
if upVol >= downVol
upIdx += 1
currentVaVol += upVol
else
downIdx -= 1
currentVaVol += downVol
Estrategia Trend Following: 52w/26w BreakoutThis is a classic long-term Trend Following strategy, heavily inspired by the Donchian Channel system and the legendary "Turtle Trading" rules. It is designed to capture major market moves (bull runs) while filtering out short-term market noise and volatility.
This script is ideal for investors and swing traders who prefer a "hands-off" approach, looking to catch large trends rather than day-trading small fluctuations.
How it Works:
1. Entry Condition (The Breakout):
52-Week High: The strategy enters a Long position when the price breaks above the highest high of the last 252 trading days (approx. 1 year).
SuperTrend Filter: An additional filter using the SuperTrend indicator ensures that the breakout is supported by positive momentum, helping to reduce false signals during choppy lateral markets.
2. Exit Condition (The Trailing Stop):
26-Week Low: The strategy ignores short-term corrections. It only closes the position if the price closes below the lowest low of the last 126 trading days (approx. 6 months).
This wide stop allows the trade to "breathe" and stay open during significant pullbacks, ensuring you stay in the trend for as long as possible.
Features & Settings:
Customizable Lookback Periods: You can adjust the Entry (default 252 days) and Exit (default 126 days) periods in the settings menu.
Visual Aids:
Blue Line: Represents the 1-Year High (Entry Threshold).
Red Line: Represents the 6-Month Low (Dynamic Stop Loss).
Channel Shading: Visualizes the trading range between the high and low.
Labels: Clearly marks "BUY" and "EXIT" points on the chart.
Recommended Usage:
Timeframe: Daily (1D). This logic is designed for daily candles.
Assets: Works best on assets with strong trending characteristics (e.g., Bitcoin/Crypto, Tech Stocks, Indices like SPX/NDX, and Commodities).
Patience Required: This strategy generates very few signals. It may stay quiet for months and then hold a position for over a year.
PDH/PDL Breakout Pip MeasurerThis indicator measures the maximum distance (in pips or points) that price travels after breaking through the Previous Day's High (PDH) or Previous Day's Low (PDL), before returning to a user-defined stop loss level. It provides statistical insights into breakout behavior for systematic trading analysis.
Input Parameters
Pip Multiplier: Adjust for different instruments (0.0001 for Forex, 1 for indices)
Bull Stop Loss Pips: Distance below PDH to define stop loss for bull breakouts
Bear Stop Loss Pips: Distance above PDL to define stop loss for bear breakouts
Show Table: Toggle statistics table display
Show Labels: Display pip measurements on chart
Show Levels: Toggle PDH/PDL level visibility
Statistics Table Includes
Total breakout counts (Bull/Bear/Combined)
Average pip distance per breakout type
Minimum and maximum recorded moves
Currently active breakout measurement
Daily & Monday Pro (Replay Fixed) the bestPhiên bản xịn nhất của Daily & Monday Key Levels trên Tradingview
Chúc các bạn vui vẻ.
:)
Evergito HH/LL 3 Señales + ATR SL 2How to trade with the Evergito HH/LL 3 Signals + ATR SL indicator? Brief and direct explanation: General system logic: The indicator looks for actual breakouts of the high/low of the last 20 bars (HH/LL) and combines them with the position relative to the 200 SMA to filter the underlying trend. You have 3 types of signals that you can activate/deactivate separately: Signal
When it appears
What it means in practice
Entry type
V1
HH breakout + the close crosses above the 200 SMA (or the opposite in a short position)
Very safe entry confirmed. The price has just validated the long/flat trend → safer and with a better ratio
The most reliable (the original)
V2
HH breakout but the price was already above the 200 SMA (or already below in a short position)
Entry in an already established trend. Fewer “surprises”, more continuity
Ideal for strong trends
V3
Only the breakout of the HH or LL, without looking at the 200 SMA
Aggressive entry/scalping on explosive breakouts. More signals, more noise.
For times of high volatility.
How to enter the market (simple rule): Wait for any of the 3 labels (V1, V2, or V3) to appear, depending on which ones you have activated.
Enter at the close of that candle (or at the open of the next one if you are conservative).
Automatic Stop Loss → the blue (long) or yellow (short) line that represents the ATR x2.
Take Profit → you decide, but the indicator already gives you the visual reference for the risk (ATR x2), so 1:2 or 1:3 is usually very convenient.
Practical example: You see a large green label “HH LONG V1” → you go long at the close of that candle. Stop right at the blue line (ATR x2 below the price).
Typical target: 2x or 3x the risk (very common to reach it in a trend).
Recommended use: Most traders leave only V1 activated → fewer signals but very high quality.
Those who trade intraday or crypto usually combine V1 + V2.
V3 only for news events or very volatile openings.
In summary:
Label = immediate entry
Blue/yellow line = automatic stop
And enjoy the move.
Bollinger Bands Mean Reversion using RSI [Krishna Peri]How it Works
Long entries trigger when:
- RSI reaches oversold levels, and
- At least one bullish candle closes inside the lower Bollinger Band
Short entries trigger when:
- RSI reaches overbought levels, and
- At least one bearish candle closes inside the upper Bollinger Band
This approach aims to capture exhaustion moves where price pushes into extreme deviation from its mean and then snaps back toward the middle band.
Important Disclaimer
This is a mean-reversion strategy, which means it performs best in sideways, ranging, or slowly oscillating market conditions. When markets shift into strong trends, Bollinger Bands expand and volatility increases, which may cause some signals to become inaccurate or fail altogether.
For best results, combine this script with:
- Price action
- Market structure
- Higher-timeframe trend context
- Previous day/week/month highs & lows
- Untested liquidity levels or imbalance zones
- Session timing (Asia, London, NY)
Using these confluences helps filter out low-probability trades and significantly improves consistency and precision.
5-RSI HighSrc Buy/SellBest used on the 5 min chart, this indicator detects early intraday momentum reversals that occur within an alread-bullish trend using (source = high) RSI lengths 5, 8, 13, 21, & 34. This is primarily designed to catch the moment an uptrend resumes after a dip.
Minho Index | SETUP+@TraderMinho//@version=5
// By: Trader Minho — Analista Gráfico desde 2022
indicator("Minho Index | SETUP+@TraderMinho", shorttitle="Minho Index (Classic)", overlay=false)
//--------------------------------------------------------
// PARAMETERS
//--------------------------------------------------------
shortPeriod = input.int(3, "Short Period")
mediumPeriod = input.int(8, "Medium Period")
longPeriod = input.int(20, "Long Period")
intensityFactor = input.float(3.0, "Intensity Factor", step = 0.1)
shortSmoothing = input.int(2, "Short Smoothing (EMA)")
mediumSmoothing = input.int(5, "Medium Smoothing (EMA)")
shortColor = input.color(color.new(#00CED1, 0), "Short Line Color (Aqua Blue)")
mediumColor = input.color(color.new(#FFD700, 0), "Medium Line Color (Yellow)")
zeroColor = input.color(color.new(color.white, 0), "Zero Line Color")
lineWidth = input.int(1, "Line Thickness")
//--------------------------------------------------------
// MOVING AVERAGE CALCULATIONS
//--------------------------------------------------------
smaShort = ta.sma(close, shortPeriod)
smaMedium = ta.sma(close, mediumPeriod)
smaLong = ta.sma(close, longPeriod)
//--------------------------------------------------------
// CLASSIC DIDI NORMALIZATION
//--------------------------------------------------------
priceBase = ta.sma(close, longPeriod)
didiShort = ((smaShort - smaLong) / priceBase) * intensityFactor
didiMedium = ((smaMedium - smaLong) / priceBase) * intensityFactor
//--------------------------------------------------------
// FINAL SMOOTHING (CLASSIC NEEDLE EFFECT)
//--------------------------------------------------------
aquaSmooth = ta.ema(didiShort, shortSmoothing)
yellowSmooth = ta.ema(didiMedium, mediumSmoothing)
//--------------------------------------------------------
// PLOTS
//--------------------------------------------------------
hline(0, "Zero Line", color = zeroColor, linewidth = 1)
plot(aquaSmooth, "Short (Aqua)", color = shortColor, linewidth = lineWidth)
plot(yellowSmooth, "Medium (Yellow)", color = mediumColor, linewidth = lineWidth)
Top 20 Adaptive Momentum [Trend Aligned]his script is an automated End-of-Day Momentum Dashboard designed to predict the next trading day's directional bias for the top 20 most volatile stocks. It analyzes institutional price action during the final 10 minutes of the trading session and filters signals based on the long-term trend.
How It Works
Trend Identification: The script calculates a 50-Day Moving Average proxy (using 5-minute data) to determine if a stock is in a Long-Term Uptrend or Downtrend.
Adaptive Signal Logic: Instead of a simple reversal strategy, the script adapts its prediction based on the trend context:
Trend Following: If a stock closes strong (Green) in an Uptrend, it signals Bullish Momentum (continuation).
Mean Reversion: If a stock closes strong (Green) in a Downtrend, it signals Bearish Reversion (fade the bounce).
Dip Buying: If a stock closes weak (Red) in an Uptrend, it signals Bullish Reversion (buy the dip).
Live Backtesting: The dashboard features a "Win Rate (3M)" column. This metric backtests the strategy over the past 3 months for each specific ticker, calculating the percentage of time the predicted bias resulted in a winning trade the following day.
Dashboard Columns
Ticker: The stock symbol.
Prev Day: The overall close vs. open of the previous session.
Trend (50d): The long-term trend direction (UP or DOWN).
BIAS TODAY: The actionable signal for the current session (📈 BULLISH or 📉 BEARISH).
Win Rate: The historical probability of success for this strategy on this specific stock.
Usage: Use this tool pre-market to identify high-probability setups where the previous day's closing momentum aligns with the long-term trend.
To effectively use the Top 20 Adaptive Momentum script, you need to treat it as a Pre-Market Screener. It performs the heavy lifting of analyzing trend, momentum, and historical probability instantly, giving you a "Cheat Sheet" for the trading day.
Here is a step-by-step guide on how to integrate it into your routine:
1. The Setup
Timeframe: Set your chart to 5 Minutes. The logic specifically hunts for the 15:50 (3:50 PM) and 15:55 (3:55 PM) candles, so the calculation works best on this timeframe.
Timing: Check this dashboard before the market opens (e.g., 9:00 AM EST) or shortly after the close (4:05 PM EST) to plan for the next session.
2. Reading the Dashboard Columns
Column What to Look For Actionable Insight
Trend (50d) UP (Green) or DOWN (Red) This tells you the "Big Picture." Only trade in this direction. If Trend is UP, you only want to see Bullish signals. If Trend is DOWN, you only want Bearish signals.
BIAS TODAY 📈 BULLISH Plan: Look for Long/Buy setups at the open. The algorithm predicts price will close higher today.
📉 BEARISH Plan: Look for Short/Sell setups at the open. The algorithm predicts price will close lower.
Win Rate (3M) Percentage (e.g., 65%) Confidence Filter. Only take trades on stocks with a Win Rate above 55-60%. This proves the stock historically respects this specific strategy.
3. The Strategy Scenarios (How to Trade)
Scenario A: The "Trend Continuation" (High Probability)
Dashboard: Trend is UP + Bias is BULLISH.
Context: The stock is strong long-term, and it closed strong yesterday (Momentum).
Execution: Watch for an opening gap up or an early breakout above the pre-market high. Go Long.
Scenario B: The "Dip Buy" (High Probability)
Dashboard: Trend is UP + Bias is BULLISH.
Context: The stock is strong long-term, but it pulled back yesterday (Weak Close). The script identifies this as a discount, not a reversal.
Execution: Watch for the stock to find support early. Use the "Master Sniper" (from your other script) to find a Discount Entry FVG.
Scenario C: The "Trap" (Avoid)
Dashboard: Win Rate is < 50%.
Context: The stock is choppy or news-driven. It does not follow technical momentum rules reliably.
Execution: Skip this stock. Move to the next one on the list.
4. Execution Workflow
Scan: Glance at the dashboard. Identify the 2-3 stocks with Green Bias + Green Trend (for Buys) or Red Bias + Red Trend (for Shorts).
Filter: Ensure their "Win Rate" is decent (over 55%).
Trade: Open the charts for those specific stocks. Use your execution indicators (like the Master Sniper) to time the entry on the 1-minute or 5-minute chart.
By using this dashboard, you stop guessing which stock to trade and focus entirely on executing the best setups.
The Flody SniperA trend-following sniper strategy that uses two EMAs (21/55) and RSI to confirm momentum.
It enters long when price crosses above the fast EMA during an uptrend and RSI shows strength.
It enters short when price crosses below the fast EMA during a downtrend and RSI shows weakness.
Pyramiding is enabled so the strategy can add more positions as the trend continues.
Positions close when momentum weakens or price breaks back through the fast EMA.
Options Scalper v2 - SPY/QQQHere's a comprehensive description of the Options Scalper v2 strategy:
---
## Options Scalper v2 - SPY/QQQ
### Overview
A multi-indicator confluence-based scalping strategy designed for trading SPY and QQQ options on short timeframes (1-5 minute charts). The strategy uses a scoring system to generate high-probability CALL and PUT signals by requiring alignment across multiple technical indicators before triggering entries.
---
### Core Logic
The strategy operates on a **scoring system (0-9 points)** where both bullish (CALL) and bearish (PUT) conditions are evaluated independently. A signal only fires when:
1. A recent EMA crossover occurred (within the last 3 bars)
2. The direction's score meets the minimum threshold (default: 4 points)
3. The signal's score is higher than the opposite direction
4. Enough bars have passed since the last signal (cooldown period)
5. Price action occurs during valid trading sessions
---
### Indicators Used
| Indicator | Purpose | CALL Condition | PUT Condition |
|-----------|---------|----------------|---------------|
| **9/21 EMA Cross** | Primary trigger | Fast EMA crosses above slow | Fast EMA crosses below slow |
| **200 EMA** | Trend filter | Price above 200 EMA | Price below 200 EMA |
| **RSI (14)** | Momentum filter | RSI between 45-65 | RSI between 35-55 |
| **VWAP** | Institutional level | Price above VWAP | Price below VWAP |
| **MACD (12,26,9)** | Momentum confirmation | MACD line > Signal line | MACD line < Signal line |
| **Stochastic (14,3)** | Overbought/Oversold | Oversold or K > D | Overbought or K < D |
| **Volume** | Participation confirmation | Spike on green candle | Spike on red candle |
| **Price Structure** | Breakout detection | Higher high formed | Lower low formed |
---
### Scoring Breakdown
**CALL Score (Max 9 points):**
- Recent EMA cross up: +2 pts
- EMA alignment (fast > slow): +1 pt
- RSI in bullish range: +1 pt
- Above VWAP: +1 pt
- MACD bullish: +1 pt
- Volume spike on green candle: +1 pt
- Stochastic setup: +1 pt
- Above 200 EMA: +1 pt
- Breaking higher high: +1 pt
**PUT Score (Max 9 points):**
- Recent EMA cross down: +2 pts
- EMA alignment (fast < slow): +1 pt
- RSI in bearish range: +1 pt
- Below VWAP: +1 pt
- MACD bearish: +1 pt
- Volume spike on red candle: +1 pt
- Stochastic setup: +1 pt
- Below 200 EMA: +1 pt
- Breaking lower low: +1 pt
---
### Risk Management
The strategy uses **ATR-based dynamic stops and targets**:
| Parameter | Default | Description |
|-----------|---------|-------------|
| Stop Loss | 1.5x ATR | Distance below entry for longs, above for shorts |
| Take Profit | 2.0x ATR | Creates a 1:1.33 risk-reward ratio |
Positions are also closed on:
- Opposite direction signal (flip trade)
- Take profit or stop loss hit
---
### Session Filtering
Trades are restricted to high-liquidity periods by default:
- **Morning Session:** 9:30 AM - 11:00 AM EST
- **Afternoon Session:** 2:30 PM - 3:55 PM EST
This avoids choppy midday price action and captures the highest volume periods.
---
### Input Parameters
| Parameter | Default | Description |
|-----------|---------|-------------|
| Fast EMA | 9 | Fast moving average period |
| Slow EMA | 21 | Slow moving average period |
| Trend EMA | 200 | Long-term trend filter |
| RSI Length | 14 | RSI calculation period |
| RSI Overbought | 65 | Upper RSI threshold |
| RSI Oversold | 35 | Lower RSI threshold |
| Volume Multiplier | 1.2x | Volume spike detection threshold |
| Min Signal Strength | 4 | Minimum score required to trigger |
| Crossover Lookback | 3 | Bars to consider crossover "recent" |
| Min Bars Between Signals | 5 | Cooldown period between signals |
---
### Visual Elements
**Chart Plots:**
- Green line: 9 EMA (fast)
- Red line: 21 EMA (slow)
- Gray line: 200 EMA (trend)
- Purple dots: VWAP
**Signal Markers:**
- Green triangle up + "CALL" label: Buy call signal
- Red triangle down + "PUT" label: Buy put signal
- Small circles: EMA crossover reference points
**Info Table (Top Right):**
- Real-time CALL and PUT scores
- RSI, MACD, Stochastic values
- VWAP and 200 EMA position
- Recent crossover status
- Current signal state
---
### Alerts
| Alert Name | Trigger |
|------------|---------|
| CALL Entry | Standard call signal fires |
| PUT Entry | Standard put signal fires |
| Strong CALL | Call signal with score ≥ 6 |
| Strong PUT | Put signal with score ≥ 6 |
---
### Recommended Usage
| Setting | 0DTE Scalping | Intraday Swings |
|---------|---------------|-----------------|
| Timeframe | 1-2 min | 5 min |
| Min Signal Strength | 5-6 | 4 |
| ATR Stop Mult | 1.0 | 1.5 |
| ATR TP Mult | 1.5 | 2.0 |
| Option Delta | 0.40-0.50 | 0.30-0.40 |
---
### Key Improvements Over v1
1. **Requires actual crossover** - Eliminates false signals from simple trend continuation
2. **Balanced scoring** - Both directions evaluated equally, highest score wins
3. **Signal cooldown** - Prevents overtrading with minimum bar spacing
4. **Multi-indicator confluence** - 8 factors must align for signal generation
5. **Volume-candle alignment** - Volume spikes only count when matching candle direction
---
### Disclaimer
This strategy is for educational purposes. Backtest thoroughly before live trading. Options trading involves significant risk of loss. Past performance does not guarantee future results.
Global Liquidity Index LITEGlobal Liquidity Index (GLI LITE) is an indicator that measures global liquidity by combining the balance sheets of major central banks (FED, ECB, PBOC, BOJ) and the M2 money supply of the world’s largest economies (USA, Europe, China, Japan).
Since liquidity directly influences the price of risk assets (BTC, NASDAQ, SPX, etc.), GLI is one of the most important macro signals for identifying market bull/bear regimes.
What the indicator shows:
GLI momentum line (green = liquidity expansion, orange = contraction)
Fast & Slow MA lines that define the liquidity trend
Bull/Bear background coloring
Green → global liquidity is expanding
Red → liquidity is tightening
Correlation between GLI and the asset price (e.g., BTC)
Macro trend panel (Bull / Bear / Neutral)
How to use the indicator:
Bull regime (Fast MA > Slow MA)
Liquidity is expanding and the market has a natural tailwind. Risk assets tend to perform better.
Bear regime (Fast MA < Slow MA)
Liquidity is tightening — higher risk, increased volatility, and more downside pressure.
GLI ↔ Price Correlation
If correlation is high (e.g., > 0.6), GLI can be an excellent leading indicator for price movement.
12M Return Strategy This strategy is based on the original Dual Momentum concept presented by Gary Antonacci in his book “Dual Momentum Investing.”
It implements the absolute momentum portion of the framework using a 12-month rate of change, combined with a moving-average filter for trend confirmation.
The script automatically adapts the lookback period depending on chart timeframe, ensuring the return calculation always represents approximately one year, whether you are on daily, weekly, or monthly charts.
How the Strategy Works
1. 12-Month Return Calculation
The core signal is the 12-month price return, computed as:
(Current Price ÷ Price from ~1 year ago) − 1
This return:
Plots as a histogram
Turns green when positive
Turns red when negative
The lookback adjusts automatically:
1D chart → 252 bars
1W chart → 52 bars
1M chart → 12 bars
Other timeframes → estimated to approximate 1 calendar year
2. Trend Filter (Moving Average of Return)
To smooth volatility and avoid noise, the strategy applies a moving average to the 12M return:
Default length: 12 periods
Plotted as a white line on the indicator panel
This becomes the benchmark used for crossovers.
3. Trade Signals (Long / Short / Cash)
Trades are generated using a simple crossover mechanism:
Bullish Signal (Go Long)
When:
12M Return crosses ABOVE its MA
Action:
Close short (if any)
Enter long
Bearish Signal (Go Short or Go Flat)
When:
12M Return crosses BELOW its MA
Action:
If shorting is enabled → Enter short
If shorting is disabled → Exit position and go to cash
Shorting can be enabled or disabled with a single input switch.
4. Position Sizing
The strategy uses:
Percent of Equity position sizing
You can specify the percentage of your portfolio to allocate (default 100%).
No leverage is required, but the strategy supports it if your account settings allow.
5. Visual Signals
To improve clarity, the strategy marks signals directly on the indicator panel:
Green Up Arrows: return > MA
Red Down Arrows: return < MA
A status label shows the current mode:
LONG
SHORT
CASH
6. Backtest-Ready
This script is built as a full TradingView strategy, not just an indicator.
This means you can:
Run complete backtests
View performance metrics
Compare long-only vs long/short behavior
Adjust inputs to tune the system
It provides a clean, rule-driven interpretation of the classic absolute momentum approach.
Inspired By: Gary Antonacci – Dual Momentum Investing
This script reflects the absolute momentum side of Antonacci’s original research:
Uses 12-month momentum (the most statistically validated lookback)
Applies a trend-following overlay to control downside risk
Recreates the classic signal structure used in academic studies
It is a simplified, transparent version intended for practical use and educational clarity.
Disclaimer
This script is for educational and research purposes only.
Historical performance does not guarantee future results.
Always use proper risk management.






















