Distance from 52-Week Low - Bar Chart (Color Coded)"When it’s green, it’s close to the dream — hunt the hidden opportunities near 52-week lows!"
This indicator visually displays the percentage distance of the current price from its 52-week low as colored histogram bars.
🔹 Green Bars = Stock is within 5% of its 52-week low (highlighting potential value opportunities).
🔹 Yellow Bars = Stock is farther from the low (normal movement).
Useful for investors and traders who focus on identifying stocks near important support zones, bargain prices, or reversal points.
อินดิเคเตอร์และกลยุทธ์
StarterPack MAsThis indicator includes 5 moving averages widely used in modern price action analysis:
EMA 9 (green): captures recent candle momentum
SMA 20 (gold): classic reference for pullbacks
SMA 50 (red): dynamic short- to mid-term support and resistance
SMA 200 (blue): long-term trend foundation
EMA 400 (pink): used by traders tracking institutional moves
Perfect for identifying trend direction, balance zones, and key confluence areas.
Use it with strategy and discipline. Moving averages show the path — execution is up to you.
Yield Curve Approximation
A yield curve is a graph that plots the yields (interest rates) of bonds with the same credit quality but different maturity dates. It helps investors understand the relationship between short-term and long-term interest rates.
🔹 Types of Yield Curves
1️⃣ Normal Yield Curve – Upward-sloping, indicating economic expansion.
2️⃣ Inverted Yield Curve – Downward-sloping, often a recession warning.
3️⃣ Flat Yield Curve – Suggests economic uncertainty or transition.
The yield curve is widely used to predict economic conditions and interest rate movements. You can learn more about it here. Would you like insights on how traders use the yield curve for investment decisions?
How to Trade Using This?
✅ If the yield curve is steepening (green) → Favor growth stocks, commodities, and high-risk assets.
✅ If the yield curve is flattening or inverting (red) → Consider bonds, defensive sectors, or hedging strategies.
✅ Pair with economic news and interest rate decisions to refine predictions.
Fair Value Gap DetectorThe FVG Public Indicator is a tool designed for traders who utilize institutional concepts such as Smart Money, ICT (Inner Circle Trader), and Supply & Demand in their trading strategy. This indicator automatically identifies Fair Value Gaps (FVGs) on your chart and highlights them for easy visualization and decision-making.
A Fair Value Gap (FVG) is an imbalance or inefficiency between buyers and sellers in the market, typically seen when a candle “skips” a price range, leaving a gap between the wicks of the candles before and after it. These gaps often act as magnets for price or reversal points, making them powerful tools in anticipating market movement.
Predictive Superposition with MT Table & Alerts📈 Predictive Superposition with MTF Table & Alerts
A Precision Signal Suite for Active Traders
Overview
The Predictive Superposition indicator is a forward-looking, multi-timeframe analysis tool designed for traders who rely on fast, reliable signals. It scans price behavior across multiple intraday timeframes to anticipate potential turning points, offering early insight into Buy and Sell opportunities.
Key Features
Forward-Facing Signal Engine: Signals are generated using a proprietary model that analyzes recent price dynamics to anticipate shifts.
Multi-Timeframe Monitoring: Tracks and visualizes signal activity across 1m, 5m, 15m, 30m, and 1h timeframes.
On-Chart Signal Alerts: Visual Buy/Sell markers are plotted directly on the chart in real time.
MTF Table Dashboard: A compact, color-coded table summarizes the current signal state across all monitored timeframes for quick decision-making.
Custom Alerts: Built-in alert conditions allow for flexible notification setups for both current and higher timeframes.
Practical Use Cases
Use as a standalone signal system or layer it with other indicators for confluence.
Ideal for scalpers, day traders, and short-term swing traders looking to stay ahead of market moves.
The table interface ensures a quick visual scan of trend conditions across timeframes.
⚠️the signal on chart flicker while forming a current candle once candle close it confirm and non repaint
⚠️ This tool is designed for educational and informational purposes only. Always combine it with your own analysis and risk management.
ICT OB/FVG + Envelope (VWAP Alertable)40 vol trading and envelope band trading.
vwap 40 over buy, break sell.
15 %, sell 1/3
30% sell 1/3
45% sell 1/3
Ralfetto: Head and Shoulders TargetsUser Guide: Ralfetto - Head and Shoulders Targets
📌 Overview
The Ralfetto: Head and Shoulders Targets indicator is a manual pattern mapping tool that allows traders to visually define a Head and Shoulders (H&S) formation on the chart and automatically calculates three price targets (TP1, TP2, TP3) based on the structure. The tool draws lines between the key points, projects target levels, and presents data in a clean on-chart table.
🧱 How It Works
You manually input 7 points representing the Head and Shoulders structure:
Left Shoulder Start & Peak
Head Peak
Right Shoulder Peak & End
Two Neckline Points (Left and Right)
The indicator then:
Draws the H&S shape on the chart.
Projects three target prices.
Displays a table showing TP values and % returns.
Plots those levels on the price scale.
⚙️ Inputs and Parameters
🔷 Display Settings
Line Color – Sets color for H&S lines.
TP Color – Sets color for target projection lines.
Table Background/Text Colors – Customize the table style.
📍 H&S Coordinates (Manual Input)
# Description Field Names
1 Left Shoulder Start 1. Left Shoulder Start
2 Left Shoulder Peak 2. Left Shoulder Peak
3 Neckline Left (Start of Head) 3. Neckline Left
4 Head Peak 4. Head Peak
5 Neckline Right (Start of RS) 5. Neckline Right
6 Right Shoulder Peak 6. Right Shoulder Peak
7 Right Shoulder End 7. Right Shoulder End
All prices must be precise, and timestamps must match chart candles exactly (e.g., using the TradingView date/time picker).
📈 What’s Displayed on the Chart
Head and Shoulders Shape
A series of connected lines between your inputs form the pattern.
Neckline (Extended Line)
Drawn between Point 3 and Point 5 and projected both directions.
Target Lines (TP1, TP2, TP3)
Based on shoulder and head heights, projected downward.
Target Price Table (Bottom Right):
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Edit
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| Ralfetto: Head and Shoulders |
-------------------------------------
| Label | Projection | Return % |
-------------------------------------
| Neck Line | | |
| TP1 | | |
| TP2 | | |
| TP3 | | |
📊 TP Logic (Target Prices)
TP1 & TP2
Based on the smaller and larger of the left/right shoulder height from the neckline.
TP3
Based on the head’s height from the midpoint of the neckline.
Each is plotted as a dashed horizontal line and shown in the table with return percentages based on the neckline price.
🪛 How to Use (Step-by-Step)
Open the Script on your TradingView chart.
Go to the Settings (gear icon) → Input tab.
Enter the 7 coordinates (price + time) to define the H&S manually.
Tip: Use vertical lines or crosshairs to get exact values.
Customize colors or table display as needed.
Click OK.
The pattern shape, TP levels, and data table will appear.
⚠️ Notes & Tips
This is a manual drawing tool; it does not detect H&S patterns automatically.
Ideal for technical traders who want to evaluate H&S structures visually.
Works on any asset (stocks, crypto, forex) and any timeframe.
Inputs must be accurate, or the pattern may appear distorted.
You can duplicate the indicator and track multiple patterns on one chart by changing input groups.
👨🏫 Best For
Intermediate to advanced traders.
Traders with a technical pattern-based approach.
Chartists who manually analyze and trade H&S patterns.
ZenAlgo - MultiverseThe ZenAlgo – Multiverse indicator provides a multi-timeframe view of Volume-Weighted Average Price (VWAP) levels and their dynamic interaction with price across seven defined timeframes: Daily, Weekly, Monthly, Quarterly, Semi-Annual, and Yearly. The indicator is intended to help traders contextualize price within time-based value areas and examine how price interacts with statistically relevant bands derived from those VWAPs.
VWAP Calculation and Period Structure
At the core, this script computes VWAP levels anchored to six distinct timeframes using volume data and a configurable source (default is HLC3). Each VWAP resets at the start of its corresponding period (e.g., Daily VWAP resets at the beginning of a new day) using timeframe.change() as a detection mechanism. This allows each VWAP level to reflect a clean aggregation of price and volume over its specified period.
VWAP levels are only computed if volume data is present and cumulative volume increases, ensuring logical consistency. If volume is missing or inconsistent, the script terminates execution with an error to prevent invalid outputs.
Band Calculation
Each VWAP is accompanied by one or two optional bands on both sides, calculated using percentage-based offset. Daily VWAP is configurable per user preference to use either standard deviation or a percentage-based offset. These bands provide a dynamic value area that expands or contracts with volatility or proportional price distance, respectively.
The bands help classify price as:
Inside the main band (e.g., between ±1 band): near average value
Inside extended band (e.g., ±2 bands): stretched but not extreme
Beyond extended band: potentially overheated or oversold conditions
This layering creates a multi-zoned map of value perception across timeframes.
Labeling and Historical Tracking
As each new VWAP is computed, it is stored in a bounded array alongside metadata such as label position, line objects, test count, and test state (whether price has interacted with it). Each level is drawn as a dotted horizontal line and labeled with its value and corresponding period (e.g., "D", "W", "M").
Price interaction with a VWAP level (i.e., candle high/low crossing the line) changes the styling of the label and line, marking it as "tested." A cap on how many tested levels are retained (default 10) avoids excessive clutter and resource usage.
These persistent horizontal levels give the trader a visual reference of where value was defined in previous periods and how price has respected or ignored those levels over time.
Summary Tables and Grid
Two visual table overlays are provided:
1. VWAP Summary Table , this table shows:
VWAP values per timeframe
Trend interpretation (rising, falling, stable) relative to price
Ranked order of VWAP values (from highest to lowest)
The order is recalculated each bar to reflect the vertical positioning of each VWAP on the price chart.
2. VWAP Relationship Grid
A grid matrix compares each VWAP and current price against all others. Each cell reflects whether a given source is above, below, or within a tolerance threshold relative to another. Colors (green, red, gray) visually encode the result, with the diagonal marked in black and unused cells disabled.
This matrix helps identify alignment or dissonance among timeframes, allowing users to detect whether shorter-term value is leading or lagging longer-term value.
Price Band Classification
For the Daily VWAP specifically, the script includes an extra classification system. It assigns the current price to a zone (e.g., "At VWAP", "Bear Band", "Above Bull Band 2") based on where the price lies in relation to the VWAP bands. This classification is also used for dynamic coloring and added to the daily label.
Display Controls
The script offers fine-grained controls:
Toggle visibility of each VWAP and band group independently
Adjust the offset of labels from the current bar
Customize band multipliers and color transparency
Limit the number of historical VWAP labels plotted
Position both the summary and grid tables flexibly on screen
These options allow traders to declutter their charts and focus on the most relevant context for their strategy.
How to Interpret and Use
This indicator provides a structured view of market value perception across various timeframes. For example:
When price converges with multiple VWAPs, it may suggest consensus on value.
When price moves away from all VWAPs, it may indicate trending or stretched conditions.
Crosses and retests of VWAPs (especially higher-timeframe ones) can act as areas of interest.
The band-based classification helps identify transitional zones and whether price is situated in an area where value is being accepted or rejected.
The summary tables offer a high-level dashboard of price positioning and value structure, which can assist with top-down analysis, filtering setups, or contextual decision-making.
Added Value Compared to Free Alternatives
Most free VWAP scripts:
Cover only a single timeframe (often daily or session-based)
Lack historical level tracking with tested/retested visualization
Do not support grid-level relationships or multi-timeframe band analysis
Offer limited configuration over how bands are calculated or displayed
This script consolidates multiple value areas in one consistent framework and goes further by tracking historical relevance, providing interaction logs, and organizing data into actionable overlays.
For traders seeking comprehensive value context across intraday and swing horizons, this tool offers persistent and structured data views that are otherwise unavailable through individual, isolated VWAP tools.
Limitations and Disclaimers
The indicator depends on volume data. On instruments with unreliable or synthetic volume (e.g., certain spot forex or CFDs), results may not be meaningful.
Band-based interpretation should not be used as a signal mechanism on its own.
On low timeframes, longer-period VWAPs may appear flat or visually compressed.
As with any analytical tool, interpretation requires trader discretion and should be combined with broader context.
Any Divergence for Many Indicators v6The community-based modification of the Divergence for Many Indicators v4 version has been upgraded to Pine Script v6, with the addition of 3 integrated alert signals. These alerts can simultaneously trigger notifications for both top and bottom divergences, fully utilizing the alert conditions of the watchlist.
Day High,Low,Open,Previous Close & Average Traded Price📊 Day High, Low, Open, Previous Close & VWAP (Average Traded Price)
This script provides key intraday reference levels that traders commonly rely on for decision-making. It overlays critical daily price data directly on your chart and summarizes them in a compact, color-coded table.
✨ Features:
Daily Open, High, Low, and Previous Close lines for quick visual reference.
VWAP (Volume-Weighted Average Price) calculated from intraday price and volume, giving insight into average traded levels.
Dynamic Info Table that updates every trading day and can be positioned anywhere on the chart.
Clean visualization with distinct color-coding to help distinguish each metric easily.
🧠 Ideal For:
Intraday traders, scalpers, and institutional-style setups where understanding session behavior relative to key reference prices is crucial.
⚙️ Customization:
Users can choose the corner position for the stats table to suit their layout and visibility preferences.
NCrypt30's Top 30 Breadth (No BTC, ETH, Stables)This custom indicator tracks market strength across the top 30 cryptocurrencies by market capitalization, excluding Bitcoin (BTC), Ethereum (ETH), and all stablecoins. It calculates the percentage of these assets currently trading above their 50-period simple moving average (SMA).
📈 The result is a crypto breadth oscillator that offers insight into broad market participation and altcoin momentum.
Key Features:
Tracks top 30 cryptos (ranked by market cap)
Excludes BTC, ETH, and stablecoins
Shows % of assets above their 50-SMA
Works across any timeframe (1h, daily, weekly, etc.)
Breadth zones: 70+ (overbought), 50 (neutral), 30- (oversold)
🔍 Great for spotting sector-wide bullish or bearish shifts in the altcoin market. Use this indicator to gauge whether strength is concentrated or broad-based.
Liquidation Levels [mm-scan]📈 mm-scan : Liquidation Levels
Greetings!
I'd like to introduce you to a custom-built TradingView indicator. I hope you will find sometime to test it out and send feedback below in the comments. Feel free to ask any questions.
This tool is constructed using traditional oscillators such as MFI (Money Flow Index), RSI (Relative Strength Index), MOM (Momentum), and others. These classic tools serve as the foundation for something more advanced.
💡 What's Unique?
The concept is simple but powerful :
Where the market shifts its bias, or is heavily skewed in one direction, it often becomes a zone of increased liquidity.
These areas are natural magnets for price movement — where stop-losses get hit, and trapped traders are flushed out.
I've focused on the most biased areas these oscillators offer — using them as signal points to map out potential liquidation levels on the chart.
The mm-scan indicator highlights these zones, giving you an edge in identifying high-probability contrarian trade setups between liquidity pockets.
Sonic Simple Long & Short BiasHi Guys
This is one simple indicator help us find the Long (Buy) Bias or Short (Sell) Bias.
M2SL/DXY vs Crypto//@version=5
indicator("M2SL/DXY vs Crypto", shorttitle="M2SL/DXY", timeframe="", timeframe_gaps=true)
// 定义 SMA 的周期
sma_length = input.int(20, title="SMA Length", minval=1) // 默认改为20,如果确实需要原始值,可以改回1
// 获取数据
// 注意:M2SL 通常是周度或月度数据。在日线图等低周期图表上,它会保持不变直到新数据发布。
m2sl_raw = request.security("FRED:M2SL", timeframe.period, close)
dxy_raw = request.security("TVC:DXY", timeframe.period, close)
// 计算 SMA (如果 sma_length > 1)
m2sl_sma = ta.sma(m2sl_raw, sma_length)
dxy_sma = ta.sma(dxy_raw, sma_length)
// 计算比率
// 使用平滑后的数据进行比率计算
ratio = m2sl_sma / dxy_sma
// 或者,先计算比率,再平滑比率 (这是另一种方法,结果会不同)
// ratio_raw = m2sl_raw / dxy_raw
// ratio_smoothed = ta.sma(ratio_raw, sma_length)
// 绘制结果
// 解释 offset: 正数向右(未来)平移,负数向左(过去)平移
// offset = 77 是一个非常大的向前平移,请确认是否需要。如果不需要,设为 0 或注释掉。
plot_offset = input.int(0, title="Plot Offset", tooltip="Positive shifts plot to the right (future), negative to the left (past). 77 is a large forward shift.")
plot(ratio, title="M2SL/DXY Ratio", color=color.new(color.blue, 0), linewidth=2, offset=plot_offset)
// 如果你想看到 M2SL 和 DXY 的原始值或SMA值进行调试或比较,可以取消注释下面的行
// plot(m2sl_sma, "M2SL SMA", color.orange)
// plot(dxy_sma, "DXY SMA", color.green)
ADR%, CCR% & Risk-Based Quantity✅ What This Does:
ADR%, CCR% (Current Candle Range) and quantity now show up in the Data Window (when you hover over the chart)
The chart still looks completely clean (the plots are fully transparent)
Chart scale is unaffected, because the values are typical % ranges (e.g., 1–10%)
50 & 200 SMA Death CrossSimple 50 and 200 Simple Moving Average Script with customizations. You can use these on the Daily Timeframe to confirm the "Death Cross" when trading Bitcoin. Right before the "Death Cross" happens the price usually dumps, and Right as they cross the price usually pumps. (Bitcoin must be in a bull market already)
Created by: Dan Heilman
EMA 5/10 Crossover SignalsThis indicator gives Buy and Sell signals when the 5 EMA crosses with the 10 EMA
CME Gaps on Price chart (Xpdev)This script was published to help traders monitor market gaps on the CME and overlay them directly on the price chart.
The script works in general for any market and on any time frame.
The script allows the user to:
- Specify the CME ticket for gap searching (default is BTC1!);
- Specify the time frame for gap searching;
- Specify how the gaps should be filled;
- Identify price gaps of a custom width (Gap Width);
- Overlay on the price chart gaps found through showing red and green areas.
- Option to show label and price CME on chart with a proximity parameter
- Option to show only Bull or Bear gaps
- Option to customize color for Bull and Bear gaps
- Options for gap info label
- Option for gap filling criteria
- Option to show closer Gaps info table
- Option to show statistic info table
** WARNING **
CME data may be delayed or unavailable depending on the type of subscription or additional packages purchased for your TW profile.
ADR% & CCR%✅ What This Does:
ADR% and CCR% (Current Candle Range) now show up in the Data Window (when you hover over the chart)
The chart still looks completely clean (the plots are fully transparent)
Chart scale is unaffected, because the values are typical % ranges (e.g., 1–10%)
Shark Invest Cá Mập VàngCá Mập Vàng is an indicator developed by the Shark Invest team, designed to help traders track the footprints of big money in the market."
BTC Breakout + EMA + Volume + ATR Filter Indicator
I have tried to incorporate a few common filters in order to produce trade entries. The purpose is to automate trading and have the position flip long/short in order to compound the initial equity.
I have only geared this towards BTC and therefore do not know how it will perform on other assets. All variables are customisable. I have set the defaults to what I prefer based on the backtesting I was able to do on the 5 minute timeframe.
I planned on using this to scalp intraday, however, when I adjusted variables, it seems to filter out a lot of entries and despite being used on the 5 minute timeframe it averages less than a trade everyday.
Please feel free to give feedback. I'm always happy to improve and learn. Thanks
Kozakinvest AI Indicator 2.0In indicator:
✅ Risk and profit display
✅ Volatility analysis
✅ Automatic trend detection (Long/Short)
✅ Trade filter
✅ Accurate volume indicator
Volume-Weighted Price MovementThe Volume-Weighted Price Movement (VWPM) indicator is a powerful technical analysis tool that combines price action with volume to provide deeper insights into market strength. Unlike traditional indicators that focus solely on price or volume in isolation, VWPM analyzes how these forces work together to drive market momentum.
How It Works
The VWPM indicator tracks two primary components:
Bullish Movement (green line): Measures the upward price movement weighted by volume. When price closes above the open, this component calculates how much buying pressure exists by multiplying the price change (close - open) by the volume of that period.
Bearish Movement (red line): Measures the downward price movement weighted by volume. When price closes below the open, this component calculates how much selling pressure exists by multiplying the price change (open - close) by the volume of that period.
Bull-Bear Difference (lime/orange line): Shows the net momentum by subtracting bearish movement from bullish movement, providing an at-a-glance view of which force is dominant.
The VWPM integrates volume data to identify whether price movements are backed by significant participation. A large price move with low volume carries less weight than the same move with high volume, providing a more accurate reflection of market strength.
A shorter lookback period makes the indicator more responsive to recent price action, while a longer period smooths out market noise for trend identification.
Interpretation
Bullish Signals
When the green line (bull movement) rises and stays above the red line
When the Bull-Bear Difference line crosses above zero and maintains positive momentum
Divergence between price making lower lows but the bull line making higher lows (hidden strength)
Bearish Signals
When the red line (bear movement) rises and stays above the green line
When the Bull-Bear Difference line crosses below zero and maintains negative momentum
Divergence between price making higher highs but the bull line making lower highs (hidden weakness)