detects bottom rebound signal🧩 General Idea:
This indicator detects bottom rebound signals — the start of an upward move after a downtrend — using a combination of RSI + price + volume.
⚙️ How the Indicator Works:
Calculates the RSI (Relative Strength Index) using a 14-period length.
→ Purpose: Measure momentum after a decline.
Monitors upward RSI crossovers at levels 45, 50, 55, and 60.
→ Purpose: Confirm that momentum is shifting from bearish to bullish.
Checks for a price increase of more than 2% compared to the previous close.
→ Purpose: Ensure that the move is strong and not just a small fluctuation.
Confirms that today’s volume is higher than yesterday’s.
→ Purpose: Validate that buying pressure is supported by real market activity.
When all conditions are met together ⇒ a rebound signal is generated ✅
(It plots a value of 1 as a histogram — can be used as a filter).
Triggers an alert when a rebound signal occurs — so you can get notified automatically in TradingView.
🎯 Indicator Purpose:
To identify stocks that are truly rebounding from their bottom, confirming it through momentum, price strength, and volume — often highlighting early entry opportunities before a larger uptrend.
🧩 الفكرة العامة:
يرصد لحظات ارتداد السهم من القاع — أي بداية صعود بعد فترة نزول — اعتمادًا على RSI + السعر + الحجم.
⚙️ خطوات عمل المؤشر:
يحسب مؤشر القوة النسبية (RSI) بطول 14 شمعة.
الهدف: قياس الزخم بعد نزول طويل.
يراقب تقاطعات RSI لأعلى عند المستويات (45، 50، 55، 60).
الهدف: تأكيد أن الزخم بدأ يتحول من سالب إلى موجب.
يتحقق من ارتفاع السعر أكثر من 2٪ مقارنةً بالإغلاق السابق.
الهدف: التأكد أن الصعود حقيقي وليس مجرد تذبذب بسيط.
يتأكد أن حجم التداول اليوم أكبر من اليوم السابق.
الهدف: وجود دعم حقيقي من المشترين (تأكيد على دخول سيولة).
عند تحقق كل الشروط السابقة معًا ⇒ يعطي إشارة ارتداد من القاع ✅
(يرسم عمودًا بقيمة 1 في الأسفل ويمكن استخدامه كفلتر).
يصدر تنبيه (Alert) عند تحقق الإشارة لتتابعها تلقائيًا في TradingView.
🎯 الهدف من المؤشر:
تحديد الأسهم التي بدأت ترتد فعليًا من القاع مع تأكيد الزخم والحجم والسعر — وهي غالبًا فرص دخول مبكرة قبل استمرار الصعود.
تنبيه مهم: يعمل كفلتر نبيه على قائمة محددة ولا يظهر على الشارت
Trend Analysis
Higher Timeframe Box & Divider - All Candles [GoldnHunt]The Higher Timeframe Box & Divider – All Candles indicator visually maps higher timeframe candles onto lower timeframe charts.
It highlights the open and close range of each higher timeframe candle as a box, along with a vertical divider marking the start of each new period.
This helps traders clearly see higher timeframe structure and momentum flow without switching charts.
Features:
Draws a box showing only the body (open to close) of each higher timeframe candle.
Uses candle color to represent bullish and bearish momentum.
Adds a divider line for each new higher timeframe candle.
Works across all symbols and timeframes.
Lightweight and optimized for performance.
Use case:
Perfect for traders using multi-timeframe (MTF) analysis who want to visualize higher timeframe candle progression while observing lower timeframe price action.
MTF Support & Resistance (Optimized)🧠 Smart Multi-Timeframe Support & Resistance (4H / 1H)
This advanced indicator automatically detects, clusters, and visualizes high-probability support and resistance levels across multiple timeframes — giving traders a clean and intelligent market map that adapts to price action in real time.
🔍 How It Works
The script scans historical 4-hour and 1-hour charts to identify swing highs and lows using pivot logic.
It then applies ATR-based clustering to merge nearby levels, filters weak or irrelevant zones, and highlights the most significant price reaction areas based on the number of touches and proximity to the current price.
Each level’s thickness and transparency are dynamically adjusted by strength:
Thicker lines = more confirmations (stronger level)
Fainter lines = weaker, less-tested level
⚙️ Main Features
✅ Multi-Timeframe Analysis (4H + 1H)
✅ Automatic pivot detection and level clustering
✅ Smart filtering based on ATR, proximity, and touch count
✅ Dynamic line width and opacity that scale with level strength
✅ Minimal clutter — only the most relevant nearby levels are displayed
✅ Color-coded visualization for quick interpretation
🔴 Red = 4H Resistance
🟢 Lime = 4H Support
🟠 Orange = 1H Resistance
🟦 Aqua = 1H Support
🎯 Ideal For
Scalpers, swing traders, and intraday analysts who want:
A clear visual map of major reaction zones
Automatic detection of high-confluence levels
A smart, adaptive system that works across assets and timeframes
📈 Usage Tips
Combine with volume, order-flow, or market-structure tools for confluence.
Use higher-strength levels (thicker lines) as bias zones for entries and exits.
Enable or disable 4H/1H visibility to match your trading style.
Built with precision and performance in mind — this Smart S&R system transforms raw swing data into a readable, multi-layered price map for confident trading decisions.
Yang-Zhang Volatility (YZVol) by CoryP1990 – Quant ToolkitThe Yang-Zhang Volatility (YZVol) estimator measures realized volatility using both overnight gaps and intraday moves. It combines three components: overnight returns, open-to-close returns, and the Rogers–Satchell term, weighted by Zhang’s k to reduce bias.
How to read it
Line color: Green when YZVol is rising (volatility expansion), Red when falling (volatility compression).
Background: Green tint = above High-vol threshold (active regime). Red tint = below Low-vol threshold (quiet regime).
Units: Displays Daily % by default on any timeframe (values are normalized to daily). An optional toggle shows Annualized % (√252 × Daily %).
Typical uses
Spot transitions between quiet and active regimes.
Compare realized vol vs implied vol or a risk-target.
Adapt position sizing to volatility clustering.
Defaults
Length = 20
High-vol threshold = 5% (Daily)
Low-vol threshold = 1% (Daily)
Optional: Annualized % display
Example — SPY (1D)
During the 2020 crash, YZVol surged to 5.8 % per day, capturing the height of pandemic-era volatility before compressing into a calm regime through 2021. Volatility re-expanded in 2022 due to reinflamed COVID fears and gradually stabilized through 2023. A sharp, liquidity-driven volatility event in August 2024 caused another brief YZVol surge, reflecting the historic one-day VIX spike triggered by market-wide risk-off flows and thin pre-market liquidity. A second, policy-driven expansion followed in April–May 2025, coinciding with the renewed U.S.–China tariff conflict and a sharp equity pullback. Since mid-2025, YZVol has settled near 1 % per day, with the red background confirming that realized volatility has once again compressed into a quiet, low-risk regime.
Part of the Quant Toolkit — transparent, open-source indicators for modern quantitative analysis. Built by CoryP1990.
Multi-Timeframe RSI TableIt can print RSI values of any four chosen periods in a tabular format on the chart itself. The table can be placed in any of the six positions, as required. If the RSI values are more than 40 or less than 40, these values are shown in bright Red, else it is light Red.
EMA Cloud 9/30/60 – Visual Trend Strength - CryptowitchThis indicator displays three Exponential Moving Averages (EMAs):
🔸 EMA 9 (short-term)
🔸 EMA 30 (mid-term)
🔸 EMA 60 (long-term)
A dynamic cloud is drawn between EMA 9 and EMA 30 to visually highlight trend momentum:
Green cloud = bullish momentum (EMA 9 above EMA 30)
Red cloud = bearish momentum (EMA 9 below EMA 30)
This cloud setup helps quickly identify trend direction, momentum shifts, consolidation zones, and potential entry/exit points.
Clean, visual, and effective – suitable for scalpers, swing traders, and trend followers alike.
Ethereum Sleepy Wallets – 6-Month DormancyWhat This Indicator Does
It measures how many Ethereum addresses have been completely inactive for at least 6 months (≥ 180 days) — using official Glassnode and CryptoQuant on-chain metrics.
This reveals deep conviction among long-term ETH holders
Core Concept: Direct 6-Month Dormancy
The indicator uses two precise on-chain signals:
Total Unique ETH Addresses
From GLASSNODE:ETH_ADDRESSES or CRYPTOQUANT:ETH_TOTAL_ADDRESSES
Counts every address ever used on Ethereum
Addresses Inactive ≥ 180 Days
From GLASSNODE:ETH_ADDRESSES_GREATER_THAN_180_DAYS
Counts every address that has not sent or received ETH in 6+ months
Sleepy ETH = Dormant ≥ 180 Days
Sleepy Ratio % = (Sleepy / Total) × 100
This is not an estimate — it’s direct, real dormancy.
Why 6-Month Dormancy Matters
Short-term activity (7-day) = noise from DeFi, NFTs, trading
180-day inactivity = true HODLing — coins untouched through entire market cycles
Historically:
Rising dormancy → supply drying up → bullish pressure
Falling dormancy → long-term holders selling → bearish warning
How It Works (Step-by-Step)
Fetches daily data from Glassnode (Pro+) or CryptoQuant (free)
Selects real data if available; otherwise uses robust fallback
Calculates raw sleepy wallets = addresses inactive ≥ 180 days
Smooths the signal with a 21-day simple moving average (SMA) to filter noise
Computes Sleepy Ratio % for instant conviction reading
Displays live info table with exact values on every bar
How to Use It
Signal
Interpretation
Suggested Action
Sleepy Ratio > 75% and rising
Extreme long-term HODLing
Strong accumulation — buy/hold
Smooth Sleepy trending up
Dormancy growing over 21 days
Bullish supply shock forming
Sleepy Ratio < 68% and falling
Long-term coins re-entering circulation
Caution — possible distribution
Smooth Sleepy dropping fast
HODLers breaking after 6+ months
Bearish warning — consider exits
Use on Daily (D) or Weekly (W) charts for clean, reliable signals.
Pro+ vs Free Mode
Mode
Data Source
Accuracy
Pro+ (Glassnode ON)
Real 180-day dormancy metric
100% precise
Free (Glassnode OFF)
CryptoQuant + price-scaled estimate
~80% historical correlation
Toggle in settings: Use Glassnode Data
What Makes This Indicator Original
First open-source script to directly plot Ethereum’s 6-month dormancy using official ADDRESSES_GREATER_THAN_180_DAYS
No fake math — uses true inactivity, not active address subtraction
Dual-source logic ensures usability on any TradingView plan
Dual output: raw sleepy count + 21-day SMA for precision and trend
Live info table shows real-time values and data source
Dynamic ATR Targets - Long & Short with Trailing SL by ISST auto signal
green for buy
red for sell
auto trigger
FDL Horizontal Levels + EMAs (US30 & YM1)This indicator automatically plots institutional horizontal levels for US30 and YM1, so you don’t have to mark them manually. It also shows the 100 EMA and 200 EMA on all timeframes.
Horizontal levels are displayed on 3, 5, 10, 15, and 30-minute charts.
FDL Horizontal Levels + EMAs YM1Plots institutional horizontal levels on US30 and YM1, with 100 & 200 EMAs for trend guidance.
Intraday Intensity Percent (IIP) by CoryP1990 – Quant ToolkitThe Intraday Intensity Percent (IIP) quantifies buying vs. selling pressure within each bar by combining price position inside the range and trading volume. It’s essentially a volume-weighted order-flow indicator, showing whether volume concentrates near highs (buying pressure) or lows (selling pressure).
How it works
Computes the Intraday Intensity (II) = ((Close − Low) − (High − Close)) / (High − Low) × Volume.
Then compares total “intensity” to total volume over a look-back window to produce a normalized percentage.
Lime line: IIP rising → accumulation / increasing buy pressure.
Red line: IIP falling → distribution / increasing sell pressure.
Background: Green tint = heavy buying, Red tint = heavy selling.
Use cases
Identify accumulation or distribution phases early.
Confirm momentum with volume-backed pressure.
Detect divergences between price and volume flow.
Defaults
Length = 14
High-pressure threshold = +5 %
Low-pressure threshold = −5 %
Example — AAPL (2H)
Late July into early August shows sustained distribution as IIP sinks below −5% (deep red), marking heavy sell pressure during the drop. From early to mid-August, IIP flips positive and holds > +5% (green background), aligning with the rebound. After a brief mid-September shakeout, late Sep–mid Oct features renewed accumulation with repeated green surges. Most recently, IIP prints around −33%, indicating dominant selling pressure into the latest two-hour bars.
Part of the Quant Toolkit — transparent, open-source indicators for modern quantitative analysis. Built by CoryP1990.
Fractal Dimension Index (FDI) by CoryP1990 – Quant ToolkitThe Fractal Dimension Index (FDI) quantifies how directional or choppy price movement is; in other words, it measures the “roughness” of a trend. FDI values near 1.0–1.3 indicate strong directional trends, while values near 1.5–2.0 reflect chaotic or range-bound behavior. This makes FDI a powerful tool for detecting trend vs. mean-reversion regimes.
How it works
Calculates the ratio of average price changes over full and half-length windows to estimate the fractal dimension of price movement.
Teal line = FDI decreasing → trending behavior (market smoother, more directional).
Orange line = FDI increasing → choppiness or consolidation.
Background:
Green tint = trend-friendly regime (FDI below low threshold).
Orange tint = choppy regime (FDI above high threshold).
Use cases
Detect when markets shift from trend-following to mean-reverting conditions.
Filter trades: favor trend strategies when FDI < 1.3 and reversion setups when FDI > 1.7.
Combine with momentum or volatility metrics to classify regimes.
Defaults
Length = 20
High-FDI threshold = 1.8
Low-FDI threshold = 1.2
Example — TSLA (1D, 2021)
Early 2021 trades choppy to sideways with FDI swinging up toward 1.5, then the index drops below 1.2 as Tesla transitions into a persistent trend-friendly regime through the second half of the year (green background). During the Q4 breakout, FDI holds ~1.0–1.2, confirming strong directionality; brief pullbacks lift FDI back toward the mid-range before trending pressure resumes. At the right edge, FDI sits well below the low threshold, signaling that price remains in a trend-supportive state.
Part of the Quant Toolkit — transparent, open-source indicators for modern quantitative analysis. Built by CoryP1990.
Power Law BTC IndicatorPOWER LAW BTC indicator:
A long-term price model that suggests Bitcoin's price follows a power law function over time. Unlike traditional stock market models that assume linear or exponential growth, the power law model suggests that Bitcoin's price scales in a predictable, non-random way over the long run
Inyerneck UT Bot with 9 EMA Filter With Signals (Tight) v: 4.20this script is a customized version of the UT bot, enhanced with 9ema trend filter for cleaner entries.designed for short term traders to reduce noise and avoid false signals during choppy price action. youll only see signals when price action confirms momentum aligned with trend as defined by EMA. try adjusting sensitivity and ATR period to your liking. my current setting is ATR 6,Sensitivity 3.8,EMA 9 to 11...
Candle Close IndicatorCandle Close IndicatorDescription:
Simple indicator for alerts on candle closes in a selected timeframe. Sends a concise message: " - candle close - price " (e.g., "solana - 1 H candle close - price 187.2"). Ideal for multi-timeframe trading without noise.Key Features: Alerts: Only ticker, timeframe & close price. Uses alert.freq_once_per_bar_close.
Visuals: Optional markers & close price line.
Table: Compact info panel (timeframe, status, last close, symbol).
Compatibility: Pine v5, all assets.
Instructions: Add to chart & set timeframe (default: 15m).
Create alert with "Candle Close" condition.
Enable markers for visuals if desired.
High and low statisticsHigh/Low Pattern Analyzer (All Timeframes)
Ever wonder if there's a hidden pattern in the market?
Does the high of the week usually happen on a Tuesday?
Does the low of the month always form in the first week?
Which 15-minute candle really sets the high for the entire day?
This indicator is a powerful statistical tool designed to answer these questions by analyzing historical price action to find patterns in when the high and low of a period are formed.
The Core Idea: Daily High & Low of the Week
The simplest and most popular feature of this indicator is the "Daily high and low of the week" analysis.
What it does:
It looks back over your chosen number of weeks (e.g., the last 100) and finds out which day of the week (Monday, Tuesday, Wednesday, etc.) made the final high and which day made the final low for each of those weeks.
How to use it:
Go to the script settings.
Enable the "Daily High/Low of the Week" module.
Set your chart to the 1D (Daily) timeframe.
A table will appear on your chart (bottom-right by default) showing the exact count and percentage for each day. This lets you see at a glance if there's a strong tendency for the market you're watching.
Advanced Analysis: Other Timeframes
This script goes far beyond just the daily chart. It includes four other independent analysis modules:
1. 4-Hour High/Low of the Week
What it does: For intraday and swing traders. This module finds which 4-hour candle session (e.g., the 08:00 candle, the 16:00 candle) tends to form the high or low of the entire week.
Key Feature (DST Aware): This table is "season-aware." It knows that the 08:00 "summertime" (DST) candle is the same trading session as the 07:00 "wintertime" (STD) candle. It groups them together so your data is never split or messy.
2. Weekly High/Low of the Month
What it does: For a monthly perspective. This module finds which week of the month (Week 1, 2, 3, 4, or 5) is most likely to form the monthly high or low.
How to use: Enable it and set your chart to the 1W (Weekly) timeframe.
3. Monthly High/Low of the Year
What it does: The ultimate "big picture" view. This module finds which month (Jan, Feb, Mar, etc.) most frequently forms the high or low for the entire year.
How to use: Enable it and set your chart to the 1M (Monthly) timeframe.
The Power User Module: Custom Timeframe Analysis
This is the most powerful feature. It lets you analyze any timeframe combination you want.
What it does: It finds out which "Lower Timeframe" (LTF) candle made the high or low of any "Higher Timeframe" (HTF) you choose.
Example: Do you want to know which 15-minute candle makes the Daily high?
Set your chart to the 15M timeframe.
Go to the "Custom Timeframe Analysis" settings.
Set the "Higher Timeframe" to "1D".
The script will draw a "season-aware" table (just like the 4H module) showing you the exact 15-minute candles (09:15, 09:30, etc.) that are statistically most likely to form the day's high or low.
Other Features
Show Labels: Each module has an option to "Show labels," which will draw a label (e.g., "Daily High of the Week") directly on the chart at the exact bar that made the high or low.
Custom Dividers: Each module has its own optional, color-customizable divider (e.g., weekly, monthly) that you can toggle on to see the periods more clearly.
Clean Settings: All modules are disabled by default (except for "Daily") to keep your chart clean. You only need to enable the specific analysis you want to see.
This tool was built to turn your curiosity about market patterns into actionable, statistical data. Enjoy!
Inyerneck UT Bot 9 EMA V.sthis script is a custom ut bot signal generator using a 9 ema filter and atr based thresholds. it shows buy/sell signals based on crossover logic and works well for volitality based set ups. created by inyerneck
3 Moving Average Exponential3 Moving Average Exponential, up to 10 ema with the possibility to personalize the lenght of each of them
Ulcer Index (UI) by CoryP1990 – Quant ToolkitThe Ulcer Index measures downside volatility, i.e. how deep and persistent drawdowns are from recent highs. Unlike standard deviation, which treats upside and downside equally, the Ulcer Index focuses purely on pain . It’s a favorite of risk-adjusted performance metrics like the Martin Ratio.
How it works
Computes the RMS (root-mean-square) of drawdowns over a look-back window.
Rising UI → drawdowns worsening (stress increasing).
Falling UI → drawdowns shrinking (recovery phase).
Red line = Ulcer Index rising.
Lime line = Ulcer Index falling.
Red background = High-risk regime (above threshold).
Green background = Low-risk regime (below threshold).
Use cases
Gauge portfolio stress levels and timing of recovery phases.
Identify “calm vs storm” periods for position sizing.
Combine with volatility or sentiment measures for regime classification.
Defaults
Length = 14
High-risk threshold = 10
Low-risk threshold = 5
Example — NVIDIA (NVDA, 1D)
During the sharp decline through 2022, the Ulcer Index repeatedly spiked above 10 while the background turned red, highlighting an extended high-stress drawdown phase. As NVDA began recovering in early 2023, the UI line switched to lime and drifted below 5, marking a transition into a low-risk regime. Throughout 2024–2025, the index stayed mostly sub-5 with brief red pulses on minor corrections, which is clear evidence that downside volatility has remained contained during the broader uptrend.
Part of the Quant Toolkit - a series of transparent, open-source indicators designed for professional-grade analytics and education. Built by CoryP1990.
Mean Reversion Indicator — Buy the (DCA) Dip Signal (unbiased)Description
The Mean Reversion Signal — Buy the Dip (unbiased) indicator is designed to detect high-probability reversion points within Bitcoin’s cyclical market structure. These signals only appear when momentum has either fully reset on the Stochastic RSI (SRSI) or when a positive momentum reversal is beginning to form.
It combines 6H Relative Strength Index (RSI) data with 2-Week Stochastic RSI (SRSI) dynamics to identify exhaustion and early accumulation phases.
Core logic:
A buy signal appears when the 6H RSI closes below 30, indicating local oversold conditions.
The 2W Stochastic RSI confirms momentum alignment when both K & D are below 20 (deep oversold), above 80 (strong ongoing rally), or when K crosses above D (positive reversal).
The indicator is cycle-aware — active only after a defined date (e.g., 2023-01-01) to ensure it aligns with current market structure and avoids noise from pre-cycle conditions.
Additionally, green signals from previous bull cycles (e.g., 2015, 2019, 2020) are also displayed to highlight historically similar accumulation phases, allowing for cross-cycle comparison.
Color zones:
🟩 High probability of a durable new rally
🟧 Moderate probability zone
🔴 Momentum already extended; potential continuation but weaker signal
Recommended combinations:
For a deeper confirmation framework, this signal pairs well with:
- CoinGlass: Derivatives Risk Index Chart (to assess market (de)leveraging and derivatives pressure)
- BTC Futures Sentiment Index (Axel Adler Jr.) — (to monitor directional sentiment shifts)
- CheckonChain: Bitcoin — Short-Term Holder SOPR (to track realized profit-taking activity)
- CheckonChain: Bitcoin — Short-Term Holder MVRV (to evaluate valuation risk relative to cost basis)
Use case:
This tool helps traders identify favorable mean-reversion opportunities while considering broader cycle context and momentum structure.
It is not financial advice — best used alongside macro structure analysis, derivatives positioning, and on-chain behavior for comprehensive decision-making.
OmniTraderOmniTrader — What It Does
A pragmatic intraday toolkit that keeps your chart readable while surfacing the levels traders actually use: EMAs across timeframes, VWAP, yesterday’s high/low, Asian/London/NY session ranges, and a configurable Opening Range Breakout (ORB).
Multi-Timeframe EMAs (EMA 1 & 2) — Pick any TF per EMA (e.g., 5m EMA on a 1m chart).
VWAP — Toggle on/off for quick mean/flow context.
Session High/Low (live → frozen)
Tracks Asian / London / New York in your chart/exchange timezone.
Rays auto-extend; labels optional.
Previous Day High/Low — Daily levels with optional labels; auto-resets each new day.
Opening Range Breakout (ORB)
Choose session (NY/London/Asian) and 15m or 30m window.
Levels update live during the window, then lock.
Separate colors for ORB High & ORB Low + labels.
Style & Clarity Controls — Per-group color pickers, line width/style, label size & visibility.
Designed to minimize clutter while keeping essentials visible.






















