CUSTOM PRO RANGE V2.0 with AlertsCore Functions
Tracks High/Low Ranges
Daily (DR) or Initial (IDR) ranges within custom time windows (e.g., 9:30 AM–4:00 PM).
Optional extended hours (e.g., overnight).
Visual Tools
Draws boxes/lines for range boundaries, midpoints, and opening prices.
Custom colors/styles for clarity.
Smart Alerts
Notifies when price breaks high/low/mid of the range.
Avoids spam with once-per-bar alerts.
Flexible Timeframes
Works for intraday, daily, or even quarterly ranges with minor tweaks.
🎯 Who It Helps
Day Traders: Spot breakouts/reversals.
Swing Traders: Identify key support/resistance.
Analysts: Study price behavior in specific sessions.
週期
Sine Swing OscillatorThe Sine Swing Oscillator (SSO) is a custom momentum indicator that transforms price movement into a sine-based oscillator ranging from -1 to +1. It does this by measuring the deviation of the current price from a reference price, which is updated at fixed bar intervals. The price deviation is normalized using the Average True Range (ATR) over the same interval, then mapped through a sine transformation to create a bounded oscillator. This transformation helps identify cyclical price behavior in a consistent range.
The resulting sine values are smoothed using a Simple Moving Average (SMA), and a signal line is derived by applying an Exponential Moving Average (EMA) to the smoothed oscillator. Traders can use signal line crossovers, or moves through the zero line, to help identify potential entry or exit signals based on cyclical momentum shifts.
The oscillator and signal line are plotted in a separate pane, with user-configurable smoothing lengths and colors. The zero line is also included for reference.
Candle SequenceLooking to easily identify moments of strong market conviction? "Racha Velas" (or your chosen English name like "Consecutive Candles Streak") allows you to visualize clearly and directly sequences of consecutive bullish and bearish candles.
**Key Features:**
* **Real-time Counting:** Displays the number of consecutive candles directly on the chart.
* **Visual Customization:** Adjust the text size and color for optimal visualization.
* **Vertical Offset:** Control the position of the counter to avoid obstructions.
* **Maximum Streaks Table (Optional):** Visualize the largest bullish and bearish streaks found in the chart's history, useful for understanding volatility and price behavior.
* **Easy to Use:** Simply add the indicator to your chart and start analyzing.
This indicator is a valuable tool for traders looking to confirm trends, identify potential exhaustion points, or simply understand price dynamics at a glance. Give it a try and discover the market's streaks!
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¿Buscas identificar momentos de fuerte convicción del mercado? "Racha Velas" te permite visualizar de forma clara y directa las secuencias de velas consecutivas alcistas y bajistas.
**Características principales:**
* **Conteo en Tiempo Real:** Muestra el número de velas consecutivas directamente en el gráfico.
* **Personalización Visual:** Ajusta el tamaño y color del texto para una visualización óptima.
* **Offset Vertical:** Controla la posición del contador para evitar obstrucciones.
* **Tabla de Rachas Máximas (Opcional):** Visualiza las mayores rachas alcistas y bajistas encontradas en el historial del gráfico, útil para entender la volatilidad y el comportamiento del precio.
* **Fácil de Usar:** Simplemente añade el indicador a tu gráfico y comienza a analizar.
Este indicador es una herramienta valiosa para traders que buscan confirmar tendencias, identificar posibles agotamientos o simplemente entender la dinámica del precio en un vistazo. ¡Pruébalo y descubre las rachas del mercado!
Entropy [ScorsoneEnterprises]This indicator calculates the entropy of price log returns over a user-defined lookback period, providing insights into market complexity and unpredictability. Entropy measures the randomness or disorder in price movements, helping traders identify periods of high or low market uncertainty.
How It Works
The indicator computes the entropy of log returns (log(close/close )) using a histogram-based approach with customizable bins. Log returns are stored in an array of size N (lookback period), and entropy is calculated by:
Binning the returns into bins intervals based on their range.
Computing the probability distribution across bins.
Calculating entropy as -Σ(p * log(p)), where p is the probability of each bin.
A reference Simple Moving Average (SMA) of the entropy, with a separate lookback period (SMA_N), is plotted to highlight trends in market complexity. The entropy plot uses a gradient color scheme (red for lower entropy, teal for higher), while the SMA color shifts based on whether entropy is above (teal) or below (red) the SMA.
Key Features
Inputs:
Lookback Period (default: 50): Number of bars for calculating log returns.
Reference SMA Lookback Period (default: 100): Period for the entropy SMA.
Number of Bins (default: 20): Number of histogram bins for entropy calculation.
Plots:
Entropy: Gradient-colored line reflecting market randomness.
Reference SMA: Trend line to compare entropy against its average.
Interpretation
High Entropy: Indicates chaotic, unpredictable price movements, often during volatile or trendless markets.
Low Entropy: Suggests more predictable, ordered price behavior, often in trending or stable markets.
Compare entropy to its SMA to gauge whether current market complexity is above or below its recent average.
Usage
Use this indicator to assess market regimes. High entropy may signal choppy, range-bound conditions, while low entropy could indicate trending opportunities. Combine with price action or other indicators for confirmation.
Examples
We see on this PEPPERSTONE:COCOA chart that when entropy is low it signals a strong trend, either up or down. High entropy signals indecision and choppiness in the market. We can determine this by noticing when the value is above or below its recent average.
Entropy is used in high frequency trading often. It is a nice tool for lower time frames to determine how predictable and strong a trend is.
Inputs
Users can enter the lookback value for entropy, bin count, and the look back for the entropy moving average.
No tool is perfect, the Entropy value is also not perfect and should not be followed blindly. It is good to use any tool along with discretion and price action.
Long-Term VWAP Mean Reversion SDCACore Idea:
This indicator is designed to support Strategic Dollar Cost Averaging (SDCA) for Bitcoin using a cumulative VWAP-based mean reversion model. It helps long-term investors identify high-conviction buy zones and overbought conditions using statistical deviation from the cumulative VWAP. This indicator evaluates how much price is stretched from the true market average price, weighted by cumulative volume over time.
Core Concepts and Formulas:
Cumulative VWAP (Volume Weighted Average Price):
VWAP cumulative = ∑(Price×Volume) / ∑Volume
A long-term anchor that reflects the average dollar cost of all market participants across all candles. This version does not reset daily, unlike intraday VWAP.
VWAP Deviation % :
Deviation% = Price - VWAP cumulative / VWAP cumulative x 100
Shows how far current price has diverged from the long-term fair value.
Z-Score of VWAP Deviation:
Z= (Price−VWAP)−μ / σ (lookback period: default 200)
SDCA Multiplier Mapping:
*Keep in mind in my Z-Score system, -2 represents the overbought level (white horizontal line) and +2 represents oversold (cyan horizontal line) conditions. So the scores on the Y axis and Z-score in the table are reversed.
| Z-Score Range | SDCA Multiplier |
---------------------------------------------
| ≤ -2 | 0.25×
| -1 to +1 | 1.0×
| > +2 | 2.0×
The pink line plots this multiplier. It’s meant to control buy weight at each time step.
How to Use This for SDCA:
-Buy normally when the multiplier is 1.0× (Z-score between -1 and +1)
-Accelerate buying when Z-score is deeply negative (price far below VWAP)
-Slow or pause buying when Z-score is high (price far above VWAP)
-Use the stats panel to track current Z-score, VWAP level, deviation %, and multiplier
-Watch the red/blue backgrounds as visual confirmation of oversold/overbought zones
Inputs:
Z-Score Lookback Length:
Default: 200 but can be adjusted.
Visuals:
Z-Score Line (cyan): shows current standardized deviation from VWAP
Multiplier Line (bright pink): your SDCA intensity signal
Background Zones: cyan = oversold, white = overbought
Horizontal Lines: +2 and -2 standard deviation thresholds
Stats Panel (bottom right): live values for Z-score, multiplier, price, VWAP, and the deviation formula
Suited For:
-Long-term Bitcoin investors
-SDCA Systems
-Mean reversion systems
-Macro-level buy/sell planning
sideways market for strangleThis Pine Script is designed to identify **sideways or range-bound markets**, which are often ideal conditions for trading **options strangle strategies**. Here's a breakdown of what the script does:
---
### 🛠 **Purpose:**
To **detect low-volatility, sideways market conditions** where price is not trending strongly in either direction — suitable for **neutral options strategies like short strangles**.
---
### 📌 **Key Components:**
#### 1. **Inputs:**
- `RSI Length`: Default 14 — used for calculating the Relative Strength Index (RSI).
- `ADX Length`: Default 14 — used for calculating the Average Directional Index (ADX), DI+ (positive directional movement), and DI- (negative directional movement).
#### 2. **RSI Calculation:**
- `rsiValue` is calculated using the built-in `ta.rsi(close, rsiLength)`.
- A **sideways market** is expected when RSI is in the **40–60 range**, indicating lack of strong momentum.
#### 3. **ADX and Directional Indicators (DI+ and DI-):**
- `diPlus` and `diMinus` are calculated based on recent price movements and the True Range.
- `dx` (Directional Index) measures the strength of trend direction using the difference between DI+ and DI-.
- `adx` is a smoothed version of `dx` and represents **overall trend strength**.
#### 4. **Sideways Market Conditions:**
- **RSI Condition**: RSI is between 40 and 60.
- **ADX Condition**:
- `adx <= 25` → Weak or no trend.
- `adx < diPlus` and `adx < diMinus` → Confirms ADX is lower than directional components, reducing likelihood of a trending market.
#### 5. **Signal Plot:**
- A **green label below the bar** (`shape.labelup`) is plotted when both conditions are met.
- Indicates potential sideways market conditions.
---
### ✅ **Use Case:**
- This signal can help identify **low-volatility zones** suitable for **short strangles** or **iron condors**, where you profit from time decay while expecting the price to stay within a range.
True Range Orginal📌 Description – True Range Original
This indicator calculates the range (price spread) of the last N candles and displays it directly on the chart, along with suggested dynamic stop-loss levels based on recent volatility. Ideal for scalpers and day traders working on short timeframes such as 1-minute charts.
🔍 Features:
Calculates the difference between the highest high and lowest low of the last N bars (default: 15).
Plots a floating label with the current range value, updated every 5 candles.
Displays 4 dynamic stop levels:
For long positions:
Stop at 1x range (green line)
Stop at 1.5x range (light green line)
For short positions:
Stop at 1x range (red line)
Stop at 1.5x range (dark red line)
⚙️ Inputs:
Range period (number of bars)
Stop multiplier 1 (default: 1.0)
Stop multiplier 2 (default: 1.5)
📈 Usage:
This tool helps you size your stop-loss dynamically based on recent price action instead of using fixed values. It can be used alone or in combination with other tools like support/resistance, volume, or aggression indicators.
ICT Macro H1"H1 Candle Time Box" is a custom TradingView indicator that highlights a configurable time window surrounding the close of each 1-hour (H1) candle. The indicator draws a transparent box 15 minutes before and after each H1 candle close (by default), helping traders visualize time-based reaction zones.
🔍 Features:
Custom time window: Users can set how many minutes before and after the H1 close the box should appear.
Dynamic positioning: Boxes are drawn slightly above the candles to avoid overlap with price bars.
Live time labels: Each box displays its time range (e.g., "08:45 - 09:15") based on the start and end time of the zone.
Auto-cleaning: Only a limited number of recent boxes (default: 5) are shown, keeping the chart clean.
Requires 1-minute chart for precise timing.
This tool is especially helpful for intraday traders to identify areas of interest or market reactions before and after key hourly closes.
ETH Growth | AlchimistOfCrypto⚠️ DISCLAIMER: This indicator's source code is kept private as it represents a first-of-its-kind innovation in algorithmic cycle detection and visualization for Ethereum. The mathematical models and proprietary algorithms powering this indicator are the result of extensive research and development.
🌈 ETH Growth Rainbow – Unveiling Ethereum's Logarithmic Growth Fields 🌈
"The ETH Growth Rainbow, engineered through advanced logarithmic mathematics, visualizes the probabilistic distribution of Ethereum's price evolution within a multi-cycle growth paradigm. This indicator employs principles from logarithmic regression where coefficients p001, p002, and p003 create mathematical boundaries that define Ethereum's long-term value progression. Our implementation features algorithmically enhanced rainbow visualization derived from Fast Fourier Transform (FFT) spectral analysis, creating a dynamic representation of Ethereum's logarithmic growth with adaptive color gradients that highlight critical cycle-based phase transitions in the asset's monetary evolution."
📊 Professional Trading Application
The ETH Growth Rainbow transcends traditional price prediction models with a sophisticated multi-band illumination system that reveals the underlying structure of Ethereum's monetary evolution. Scientifically calibrated across multiple 85-week cycles (detected through spectral analysis) and featuring seamless rainbow visualization, it enables investors to perceive Ethereum's position within its macro growth trajectory with unprecedented clarity.
- Cycle Detection Methodology 🔬
The 85-week Ethereum cycle was discovered through sophisticated Fast Fourier Transform (FFT) analysis:
- Logarithmic price returns extracted from historical Ethereum data
- FFT decomposition identifies dominant frequency components in price movements
- Signal amplitude analysis reveals the 85-week cycle as the most statistically significant periodicity
- Adaptive frequency filtering validates cycle consistency across multiple market phases
- Cycle duration rounded to nearest week for practical application
- Visual Theming 🎨
Scientifically designed rainbow gradient optimized for cycle pattern recognition:
- Violet-Blue: Lower value accumulation zones with highest mathematical growth potential
- Green: Fair value equilibrium zone representing the regression mean
- Yellow-Orange: Moderate overvaluation regions indicating potential resistance
- Red: Statistical extreme zones indicating mathematical cycle peaks
- Deep Red: New euphoria band (+6) capturing exceptional market extremes
- Cycle Visualization 🔍
- Precise cycle boundaries demarcating Ethereum's fundamental cycle events
- Adaptive band spacing based on mathematical cycle progression (p003 = 0.858)
- Multiple sub-cycle markers revealing the probabilistic nature of Ethereum's trajectory
- Initial cycle starting from 0.1639 (August 3, 2015) to preserve historical accuracy
🚀 How to Use
1. Identify Macro Position ⏰: Locate Ethereum's current price relative to regression bands
2. Understand Cycle Context 🎚️: Note position within the current 85-week cycle for time-based analysis
3. Assess Mathematical Value 🌈: Determine potential over/undervaluation based on band location
4. Adjust Investment Strategy 🔎: Modulate position sizing based on mathematical value assessment
5. Identify Cycle Phases ✅: Monitor band transitions to detect accumulation and distribution zones
6. Invest with Precision 🛡️: Utilize lower bands for strategic accumulation, upper bands for strategic reduction
7. Manage Risk Dynamically 🔐: Scale investment allocations based on mathematical cycle positioning
#ethereum #ETH #cryptocurrency #tradingview #technicalanalysis #logarithmicregression #rainbowchart #cryptotrading #tradingstrategy #priceaction #cryptoinvesting #ethanalysis #tradingbands #cryptoresearch #FFTanalysis #cyclicalanalysis #ethinvestment #ethusd #buyandsell #accumulation #macroindicator #valueanalysis #priceprediction #ethgrowth #cryptosignals #cyclicpatterns #mathematicaltrading #AI #smartmoney #cryptowhales
Multi 10 Symbol Scanner Table V1Script Summary: "Multi 10 Symbol Scanner Table V1"
This TradingView indicator acts as a powerful market scanner dashboard. Instead of plotting signals on your main price chart, its primary purpose is to display a table summarizing the technical status of up to 10 different assets (stocks, crypto, forex pairs, etc.) that you choose.
Think of it as a watchlist on steroids. It analyzes each symbol you enter based on a consistent set of rules you define and presents the results side-by-side in the table for quick comparison.
Here's what the table shows for each symbol you add:
Symbol: The ticker name of the asset being scanned.
Actual Price: The current market price of that asset.
Price vs. MAs: Indicates the short-term trend based on whether the price (on the chart's current timeframe) is above two moving average lines ("Above Both"), below them ("Below Both"), or in between ("Mixed"). This column is color-coded (Green/Red/Gray).
RSI Value: Shows the current RSI (Relative Strength Index) number, a measure of momentum (calculated on the chart's current timeframe).
RSI Status: Tells you if the RSI is currently "Overbought," "Oversold," or "Neutral" based on the levels you set. This column is color-coded (Red/Green/Gray).
SIG NOW: A combined "immediate signal" based on the Price vs. MAs and RSI Status conditions (calculated on the chart's current timeframe). It shows "BUY," "SELL," or "NEUTRAL" and is color-coded (Green/Red/Gray).
ALERT: Flags unusual trading volume activity (calculated on the chart's current timeframe). It shows "SPIKE" for high volume, "DUMP" for low volume, or "NONE." This column is color-coded (Orange/Purple/Gray).
LTS (TF1), LTS (TF2), LTS (TF3): These three columns show separate Long-Term Signals for each asset. Each signal is calculated independently using Bollinger Bands on a different, higher timeframe that you specify (e.g., Daily, Weekly, Monthly). It shows "BUY," "SELL," or "NEUTRAL" along with the price at which that signal occurred on that specific higher timeframe. These columns are also color-coded (Green/Red/Gray).
In essence: This script lets you monitor multiple assets simultaneously from one place, checking their short-term trend, momentum, volume activity, and longer-term signals across three different time perspectives, all updated in real-time within the table.
Important Note: This script only displays information in the table. It does not plot any lines or signals on your main chart, nor does it generate built-in TradingView alerts. It's purely a visual dashboard for scanning.
How to Adjust the Script Settings
You can customize the scanner through its "Settings" panel in TradingView. Here’s how to adjust each part:
1. Symbols (Enter Ticker IDs like 'BINANCE:BTCUSDT')
Symbol 1 to Symbol 10: These are the 10 slots where you enter the assets you want to scan.
How to Enter: You need the full Ticker ID, often including the exchange prefix. Examples: NASDAQ:AAPL, BINANCE:BTCUSDT, FX:EURUSD, NYSE:GME. You can find these using TradingView's symbol search.
Leaving Blank: If you don't need all 10 slots, just leave the extra ones blank. The table will only show rows for the symbols you've entered.
2. Indicator Settings (Chart Timeframe)
These settings define the rules for the analysis performed using the timeframe of the chart you currently have open. These rules are applied to all symbols in your list for the "Price vs MAs," "RSI," "SIG NOW," and "ALERT" columns.
MA Source: Choose which price point (Close, Open, High, Low, etc.) the moving averages should be based on. (Default: Close)
Short MA Period: Set the number of bars for the shorter-term moving average. A smaller number reacts faster. (Default: 20)
Long MA Period: Set the number of bars for the longer-term moving average. A larger number shows a smoother trend. (Default: 50)
RSI Source: Choose which price point the RSI momentum calculation should use. (Default: Close)
RSI Period: Set the number of bars for the RSI calculation. (Default: 14)
RSI Overbought Level: The RSI level above which an asset is considered "Overbought" in the table. (Default: 70)
RSI Oversold Level: The RSI level below which an asset is considered "Oversold" in the table. (Default: 30)
SIG NOW RSI Buy Min: The minimum RSI value required (along with price being above MAs) to show a "BUY" signal in the "SIG NOW" column. (Default: 55)
SIG NOW RSI Sell Max: The maximum RSI value required (along with price being below MAs) to show a "SELL" signal in the "SIG NOW" column. (Default: 45)
Volume Lookback (LBV): How many bars (on the chart's timeframe) to look back to calculate the average volume for the Spike/Dump alerts. (Default: 3)
Volume MA Type: The type of averaging method used for the volume calculation. (Default: EMA)
3. Volume Alert Settings
These control the sensitivity of the "ALERT" column (Spike/Dump detection) for all symbols.
Volume Alert Sensitivity: Choose a preset:
"Normal": Standard thresholds.
"Sensitive": Easier to trigger alerts.
"Highly Sensitive": Easiest to trigger alerts.
"Custom": Uses the manual multipliers below.
Custom Spike Multiplier (>1): (Only used if Sensitivity is "Custom") Volume must be this many times greater than average to trigger SPIKE. (e.g., 1.5 = 50% higher).
Custom Dump Multiplier (<1): (Only used if Sensitivity is "Custom") Volume must be this many times smaller than average to trigger DUMP. (e.g., 0.7 = 30% lower).
4. Long Term Signal (LTS) Settings
These settings control the calculations for the three independent "LTS" columns in the table. Each LTS column analyzes data from a specific higher timeframe you choose.
LTS Timeframe 1 / 2 / 3: Select the higher timeframes (e.g., 'D' for Daily, 'W' for Weekly, 'M' for Monthly) for each of the three LTS calculations. These will determine the data used for the corresponding LTS columns in the table.
LTS BB Source: The price source used for the Bollinger Band calculation on the selected LTS timeframes. (Default: Close)
LTS BB Length: The period (number of bars on the chosen LTS timeframe) used for the Bollinger Band calculation. (Default: 20)
LTS BB StdDev: The standard deviation multiplier for the Bollinger Bands used in the LTS calculations. (Default: 2.0)
5. Table Settings
These control the appearance of the scanner table itself.
Table Position: Choose which corner or side of the chart the table should appear on.
Decimal Places (Non-Price): How many decimal places to show for values like the RSI number in the table.
Table Text Size: Adjust the font size inside the table cells ("tiny", "small", "normal", "large", "huge").
By adjusting these settings, you can tailor the scanner to focus on the assets, timeframes, and technical conditions that matter most to your trading strategy. Remember to enter valid ticker symbols for the assets you want to track.
Chart Plotter & Scanner Table V1Script Summary: "Chart Plotter & Scanner Table V1"
This TradingView indicator is designed to give you a comprehensive analysis of the single stock, crypto, or asset currently displayed on your chart. It does this in two main ways:
Visual Signals on the Chart: It draws helpful information directly onto your price chart:
Trend Lines: Plots two moving average lines (one short-term, one long-term) to help you visualize the current price trend.
Buy/Sell Markers ("SIG NOW"): Shows triangle markers below the price (green for potential Buy) or above the price (red for potential Sell) when specific conditions related to price trend and momentum (RSI) are met.
Volume Activity Markers ("ALERT"): Displays small labels ("S" for Spike, "D" for Dump) when the trading volume is unusually high or low compared to its recent average, indicating potentially significant market activity.
Long-Term Signal Markers ("LTS"): Shows small shapes (circles, diamonds, squares) to indicate potential long-term Buy or Sell signals derived from analyzing price action on up to three different, higher timeframes (like Daily, Weekly, Monthly) that you choose.
Status Summary Table: It displays a neat table on your chart (you choose the corner) that acts like a dashboard, summarizing the key findings for the current asset:
Symbol & Price: Shows the ticker symbol and the latest price.
Price vs. Trend: Tells you if the current price is above both trend lines ("Above Both"), below both ("Below Both"), or in between ("Mixed"), with color-coding (Green/Red/Gray).
Momentum (RSI): Shows the current RSI value and its status ("Overbought", "Oversold", or "Neutral"), with color-coding (Red/Green/Gray).
Immediate Signal ("SIG NOW"): Displays the current Buy, Sell, or Neutral status based on the combined trend and momentum rules, with color-coding (Green/Red/Gray).
Volume Alert ("ALERT"): Shows if there's a volume Spike, Dump, or None, with color-coding (Orange/Purple/Gray).
Long-Term Signals (LTS): Shows the Buy, Sell, or Neutral status calculated from each of the three chosen higher timeframes, including the price at which the signal occurred on that timeframe, with color-coding (Green/Red/Gray).
Essentially, this script combines short-term trend and momentum analysis with volume activity monitoring and longer-term perspective signals, presenting the information clearly on your chart and in a summary table for quick assessment. It also allows you to create TradingView alerts based on these signals.
How to Adjust the Script Settings
You can customize how this script works through its "Settings" panel in TradingView. Here’s a breakdown of each section:
1. Indicator Settings (Chart Timeframe)
These settings control the main calculations done on your current chart's timeframe.
MA Source: Choose which price point (Close, Open, High, Low, etc.) the moving averages should be based on. (Default: Close)
Short MA Period: Set the number of bars for the shorter-term moving average. A smaller number makes it react faster to price changes. (Default: 20)
Long MA Period: Set the number of bars for the longer-term moving average. A larger number shows a smoother, longer-term trend. (Default: 50)
RSI Source: Choose which price point the RSI momentum calculation should use. (Default: Close)
RSI Period: Set the number of bars for the RSI calculation. (Default: 14)
RSI Overbought Level: The RSI level above which the asset is considered potentially "Overbought". (Default: 70)
RSI Oversold Level: The RSI level below which the asset is considered potentially "Oversold". (Default: 30)
SIG NOW RSI Buy Min: The minimum RSI value required (along with price being above MAs) to trigger a "SIG NOW" Buy signal. (Default: 55)
SIG NOW RSI Sell Max: The maximum RSI value required (along with price being below MAs) to trigger a "SIG NOW" Sell signal. (Default: 45)
Volume Lookback (LBV): How many bars to look back to calculate the average volume for the Spike/Dump alerts. (Default: 3)
Volume MA Type: The type of averaging method used for the volume calculation (EMA is generally preferred for responsiveness). (Default: EMA)
2. Volume Alert Settings
These control how sensitive the Volume Spike/Dump alerts are.
Volume Alert Sensitivity: Choose a preset sensitivity level:
"Normal": Standard thresholds for spike/dump detection.
"Sensitive": Requires less deviation from the average volume to trigger an alert.
"Highly Sensitive": Triggers alerts on even smaller volume deviations.
"Custom": Ignores the presets and uses the manual multipliers below.
Custom Spike Multiplier (>1): (Only used if Sensitivity is "Custom") How many times greater than the average volume the current volume must be to trigger a SPIKE. (e.g., 1.5 means 50% higher).
Custom Dump Multiplier (<1): (Only used if Sensitivity is "Custom") How many times smaller than the average volume the current volume must be to trigger a DUMP. (e.g., 0.7 means 30% lower).
3. Long Term Signal (LTS) Settings
These settings control the calculations for the three independent Long-Term Signals, which look at higher timeframes.
LTS Timeframe 1/2/3: Select the higher timeframes (e.g., 'D' for Daily, 'W' for Weekly, 'M' for Monthly) for each of the three LTS calculations.
LTS BB Source: The price source used for the Bollinger Band calculation on the LTS timeframes. (Default: Close)
LTS BB Length: The period (number of bars on the LTS timeframe) used for the Bollinger Band calculation. (Default: 20)
LTS BB StdDev: The standard deviation multiplier for the Bollinger Bands used in the LTS calculation. (Default: 2.0)
4. Plotting Settings
These control what is visually displayed on the price chart itself.
Plot MAs?: Checkbox to show or hide the two moving average lines.
Plot SIG NOW Markers?: Checkbox to show or hide the green/red triangle Buy/Sell markers.
Plot ALERT Markers?: Checkbox to show or hide the "S" / "D" volume Spike/Dump labels.
Plot LTS Markers?: Checkbox to show or hide the long-term signal markers (circles, diamonds, squares).
Plot LTS Markers For: Dropdown to choose whether to show markers for only LTS TF1, TF2, TF3, or "All" of them.
5. Table Settings
These control the appearance and content of the summary table.
Show Status Table?: Checkbox to show or hide the entire summary table.
Table Position: Choose which corner or side of the chart the table should appear on.
Decimal Places (Non-Price): How many decimal places to show for values like the RSI number in the table.
Table Text Size: Adjust the font size inside the table cells.
Setting Up Alerts:
This script creates the conditions for alerts. To actually receive notifications:
Click the "Alert" button (clock icon) in TradingView's top toolbar or right-click on the chart.
In the "Condition" dropdown, select the script name ("Chart Plotter & Scanner Table V1").
You will see a list of available alert conditions created by the script (e.g., "SIG NOW Buy Alert", "RSI Overbought Alert", "LTS TF1 Buy Alert", etc.). Choose the one you want.
Configure the rest of the alert settings (Options, Actions, Message) as desired.
Click "Create". Repeat for any other signals you want alerts for.
By adjusting these settings, you can fine-tune the indicator to match your trading style, the specific asset you are analyzing, and the timeframes you are interested in.
NY Time Cycles# New York Time Cycles Indicator
## Overview
The Time Cycles indicator is a specialized technical analysis tool designed to divide the trading day into distinct time blocks based on New York trading hours. Developed for TradingView, this indicator helps traders identify and analyze market behavior during specific time periods throughout the trading session. The indicator displays six consecutive time blocks, each representing 90-minute segments of the trading day, while tracking price ranges within each block.
## Core Concept
The Time Cycles indicator is built on the premise that different periods during the trading day often exhibit unique market characteristics and behaviors. By segmenting the trading day into standardized 90-minute blocks, traders can:
1. Identify recurring patterns at specific times of day
2. Compare price action across different time blocks
3. Recognize potential support and resistance levels based on the high and low of previous time blocks
4. Develop time-based trading strategies specific to certain market hours
## Time Block Structure
The indicator divides the trading day into six sequential 90-minute blocks based on New York time:
1. **Box 1**: 07:00 - 08:30 ET
2. **Box 2**: 08:30 - 10:00 ET
3. **Box 3**: 10:00 - 11:30 ET
4. **Box 4**: 11:30 - 13:00 ET
5. **Box 5**: 13:00 - 14:30 ET
6. **Box 6**: 14:30 - 16:00 ET
These time blocks cover the core US trading session from pre-market into regular market hours.
## Visual Representation
Each time block is represented on the chart as a visual box that:
- Spans the exact time period of the block (horizontally)
- Extends from the highest high to the lowest low recorded during that time period (vertically)
- Is displayed with customizable colors and transparency levels
- Automatically builds in real-time as price action develops
Additionally, the indicator draws dashed projection lines that:
- Display the high and low of the most recently completed time block
- Extend forward in time (for up to 24 hours)
- Help traders identify potential support and resistance levels
## Technical Implementation
The indicator employs several key technical features:
1. **Time Detection**: Accurately identifies the current New York time to place each box in the correct time period
2. **Dynamic Box Creation**: Initializes and updates boxes in real-time as price action develops
3. **Range Tracking**: Continuously monitors and adjusts the high and low of each active time block
4. **Projection Lines**: Creates horizontal dashed lines projecting the high and low of the most recently completed time block
5. **Daily Reset**: Automatically resets all boxes and lines at the start of each new trading day
6. **Customization**: Allows users to set custom colors and transparency levels for each time block
This Time Cycles indicator provides traders with a structured framework for analyzing intraday market movements based on specific time periods. By understanding how the market typically behaves during each 90-minute block, traders can develop more targeted strategies and potentially identify higher-probability trading opportunities throughout the trading day.
WaveTrend Matrix (1m-1w) – Custom ThresholdsA visual control panel for momentum exhaustion across ten key time-frames.
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🧬 DNA
This is a fork of LazyBear’s original WaveTrend Oscillator .
The oscillator logic is 100 % intact; I simply stream the values into a compact table so that day- and swing-traders can see the “bigger picture” at a glance.
📈 What does it do?
Calculates WaveTrend on ten granularities: 1m, 3m, 5m, 15m, 30m, 1h, 2h, 4h, 1d, 1w.
Displays the current oscillator print in a color-coded matrix.
• Red = overbought (≥ high threshold)
• Green = oversold (≤ low threshold)
• Gray = neutral / in-range
All thresholds are user-adjustable.
Built on Pine v5, zero repainting, works on any symbol.
🛠 Parameters
Channel Length – WT “n1” (default 10)
Average Length – WT “n2” (default 21)
Red from – overbought cut-off (default +60)
Green under – oversold cut-off (default –60)
🚀 How to use it
1. Apply the indicator to your chart – no extra setup required.
2. Read the matrix top-down before every entry:
• Multiple deep-green rows → market broadly oversold → watch for longs.
• Multiple deep-red rows → market broadly overbought → watch for shorts or stay flat.
3. Combine with your trend filter (EMA-stack, VWAP, structure) to avoid counter-trend trades.
CYCLE BY RiotWolftradingDescription of the "CYCLE" Indicator
The "CYCLE" indicator is a custom Pine Script v5 script for TradingView that visualizes cyclic patterns in price action, dividing the trading day into specific sessions and 90-minute quarters (Q1-Q4). It is designed to identify and display market phases (Accumulation, Manipulation, Distribution, and Continuation/Reversal) along with key support and resistance levels within those sessions. Additionally, it allows customization of boxes, lines, labels, and colors to suit user preferences.
Main Features
Cycle Phases:
Accumulation (1900-0100): Represents the phase where large operators accumulate positions.
Manipulation (0100-0700): Identifies potential manipulative moves to mislead retail traders.
Distribution (0700-1300): The phase where large operators distribute their positions.
Continuation/Reversal (1300-1900): Indicates whether the price continues the trend or reverses.
90-Minute Quarters (Q1-Q4):
Divides each 6-hour cycle (360 minutes) into four 90-minute quarters (Q1: 00:00-01:30, Q2: 01:30-03:00, Q3: 03:00-04:30, Q4: 04:30-06:00 UTC).
Each quarter is displayed with a colored box (Q1: light purple, Q2: light blue, Q3: light gray, Q4: light pink) and labels (defaulted to black).
Support and Resistance Visualization:
Draws boxes or lines (based on settings) showing the high and low levels of each session.
Optionally displays accumulated volume at the highs and lows within the boxes.
Daily Lines and Last 3 Boxes:
How to Use the Indicator
Step 1: Add the Indicator to TradingView
Open TradingView and select the chart where you want to apply the indicator (e.g., UMG9OOR on a 5-minute timeframe, as shown in the screenshot).
Go to the Pine Editor (at the bottom of the TradingView interface).
Copy and paste the provided code.
Click Compile and then Add to Chart.
Step 2: Configure the Indicator
Click on the indicator name on the chart ("CYCLE") and select Settings (or double-click the name).
Adjust the options based on your needs:
Cycle Phases: Enable/disable phases (Accumulation, Manipulation, Distribution, Continuation/Reversal) and adjust their time slots if needed.
90-Minute Quarters: Enable/disable quarters (Q1-Q4).
Step 3: Interpret the Indicator
Identify Cycle Phases:
Observe the red boxes indicating the phases (Accumulation, Manipulation, etc.).
The high and low levels within each phase are potential support/resistance zones.
If volume is enabled, pay attention to the accumulated volume at highs and lows, as it may indicate the strength of those levels.
Use the 90-Minute Quarters (Q1-Q4):
The colored boxes (Q1-Q4) divide the day into 90-minute segments.
Each quarter shows the price range (high and low) during that period.
Use these boxes to identify price patterns within each quarter, such as breakouts or consolidations.
The labels (Q1, Q2, etc.) help you track time and anticipate potential moves in the next quarter.
Analyze Support and Resistance:
The high and low levels of each phase/quarter act as support and resistance.
Daily lines (if enabled) show key levels from the previous day, useful for planning entries/exits.
The "last 3 boxes below price" (if enabled) highlight potential support levels the price might target.
Avoid Manipulation:
During the Manipulation phase (0100-0700), be cautious of sharp moves or false breakouts.
Use the high/low levels of this phase to identify potential traps (as explained in your first question about manipulation candles).
Step 4: Trading Strategy
Entries and Exits:
Support/Resistance: Use the high/low levels of phases and quarters to set entry or exit points.
For example, if the price bounces off a Q1 support level, consider a buy.
Breakouts: If the price breaks a high/low of a quarter (e.g., Q2), wait for confirmation to enter in the direction of the breakout.
Volume: If accumulated volume is high near a key level, that level may be more significant.
Risk Management:
Place stop-loss orders below lows (for buys) or above highs (for sells) identified by the indicator.
Avoid trading during the Manipulation phase unless you have a specific strategy to handle false breakouts.
Time Context:
Use the quarters (Q1-Q4) to plan your trades based on time. For example, if Q3 is typically volatile in your market, prepare for larger moves between 03:00-04:30 UTC.
Step 5: Adjustments and Testing
Test on Different Timeframes: The indicator is set for a 5-minute timeframe (as in the screenshot), but you can test it on other timeframes (e.g., 1-minute, 15-minute) by adjusting the time slots if needed.
Adjust Colors and Styles: If the default colors are not visible on your chart, change them for better clarity.
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📌 1. **Accumulation: Strong Institutional Activity**
- During the **accumulation phase, we see **high volume: 82.773K, which suggests strong buying interest**, likely from institutional players.
- This sets the base for the following upward move in price.
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📌 2. **Manipulation: False Breakout with Lower Volume**
- Later, there's a manipulation phase where price breaks above previous highs, but the volume (71.814K) is **lower than during accumulation**.
- This implies that buyers are not as aggressive as before—no real demandbehind the breakout.
- It’s likely a bull trap, where smart money is selling into the breakout to exit their positions.
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### 📌 3. Distribution: Weakness and Lack of Demand
- The market enters a distribution phase, and volume drops even further (only 7.914K).
- Price struggles to go higher, and you start seeing rejections at the top.
- This shows that demand is drying up, and smart money is offloading positions**—not accumulating anymore.
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### 💡 Why Take the Short Here?
- Volume is not increasing with new highs—showing weak demand**.
- The manipulation volume is weaker than the accumulation volume, confirming the breakout was likely false.
- Structure starts to break down (Q levels falling), which confirms weakness.
- This creates a high-probability short setup:
- **Entry:** after confirmation of distribution and structural breakdown.
- **Stop loss:** above the manipulation high.
- **Target:** down toward previous lows or value zones.
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### ✅ Conclusion
Since the manipulation volume failed to exceed the accumulation volume, the breakout lacked real strength. Combined with decreasing volume in the distribution phase, this indicates fading demand and supply taking control—which justifies entering a short position.
Schaff Trend Cycle (STC) - t0rdn3Schaff Trend Cycle (STC)
By t0rdn3 (original STC by , now with more descriptive naming)
Description
The Schaff Trend Cycle (STC) is a momentum-based oscillator that combines the speed of a fast EMA crossover with cyclical normalization. Developed by Doug Schaff, it identifies market turning points more responsively than MACD or RSI.
How It Works
1. EMA Difference : Calculates the difference between two EMAs of the source series (default: close).
2. Cycle Percentage : Normalizes that difference to a 0–100 range over the cycle period.
3. Smoothing : Applies exponential smoothing twice—first to the cycle percentage, then to its normalized cycles—to reduce noise.
4. Final STC Line : Produces a smoothed oscillator oscillating between 0 and 100.
Alerts
- "STC turned down above 75" : Fires once when STC makes a local peak above the upper threshold ( 75 ).
- "STC turned up below 25" : Fires once when STC makes a local trough below the lower threshold ( 25 ).
Inputs
Cycle Period : 12 — Lookback in bars for normalization
Fast EMA Length : 26 — Period of the fast EMA
Slow EMA Length : 50 — Period of the slow EMA
Smoothing Factor : 0.5 — Exponential smoothing coefficient (0–1)
Usage
Readings above 75 indicate an overbought cycle; readings below 25 indicate an oversold cycle. Crossings of the 50 midline can confirm trend direction:
- STC rising through 50 → bullish shift
- STC falling through 50 → bearish shift
Combine STC with price action or other trend filters to improve signal quality. You can adjust the cycle period and EMA lengths to match different timeframes or instruments.
Coinbase BTC Premium by BIGTAKERBTC Premium Gap Analysis: Binance, Coinbase, Upbit
This indicator provides real-time analysis and visualization of the premium gap between the Binance BTCUSDT price and the BTC prices on Coinbase (BTCUSD) and Upbit (BTCKRW).
Key Features
Coinbase Premium Gap
Measures the price difference between Coinbase and Binance as a percentage.
To improve visibility, the Coinbase premium is visually amplified by 10x.
Upbit Premium Gap
Calculates the premium by comparing Upbit's BTCKRW price (converted into USD using the real-time USDKRW exchange rate) against Binance BTCUSDT.
Dynamic Color Coding
Premiums above 0% are displayed in lime green, indicating positive premiums.
Premiums below 0% are displayed in red, indicating discounts.
Real-Time Labels
Displays real-time premium values for both Coinbase and Upbit on the right side of the chart.
Additional Notes
Upbit premiums are adjusted for the USD/KRW exchange rate to ensure accurate USD-based comparison.
The Coinbase premium is magnified visually (10x) to better capture minor movements, while the actual premium value remains correctly displayed.
The indicator is optimized for traders who monitor global BTC market price disparities across major exchanges.
How to Use
Quickly track global BTC price discrepancies across Binance, Coinbase, and Upbit.
Detect "Kimchi Premium" conditions in the Korean market through Upbit premiums.
Analyze buying and selling pressure in North American markets through Coinbase premiums.
Day Range DividerThe indicator divides the chart into Israeli trading days, starting at one o’clock after midnight and ending a minute before the next midnight, marking each day’s open with a thin vertical line whose color and width you can choose. A label with the day’s name (in Hebrew) can appear on the very first bar of the session, while another label is placed midway through the previous day, beneath the candles at a fixed distance from the bottom so it doesn’t obscure price. You can adjust the label’s color, size, and letter spacing, customize the line style, and decide whether to show the early-session label. The indicator ignores Saturday and Sunday, works on any intraday timeframe, never repaints after plotting, and lets you quickly spot daily sequences and time-of-day patterns for market analysis.
My-Indicator - Global Liquidity & Money Supply M2 + Time OffsetThis script is designed to visualize a global liquidity and money supply index by combining data from various regions and, optionally, central bank activity. Visualizing this data on a chart allows you to see how central banks are intervening in the financial system and how the total amount of money in the economy is changing. Let’s take a look at how it works:
Central Bank Liquidity
Shows the actions of central banks (e.g. FED, ECB) providing short-term cash to commercial banks. If you see spikes or a steady increase in these indicators, it may suggest that liquidity is being increased through intervention, which often stimulates the market.
Money Supply
M2 money supply is a monetary aggregate that includes M1 (cash and current deposits) plus savings deposits, small term deposits, and other financial instruments that, while not as liquid as M1, can be quickly converted into cash. As a result, M2 provides a broader picture of the available money in the economy, which is useful for analyzing market conditions and potential economic trends.
How does it help investors?
It allows you to quickly see when central banks are injecting additional liquidity, which could signal higher prices.
It allows you to see trends in the money supply, which informs potential changes in inflation and the economic cycle.
Combining both sets of data provides a more complete picture – both in the short and long term – which makes it easier to predict upcoming price movements.
This allows investors to better respond to changes in central bank policy and broader monetary trends, increasing their chances of making better investment decisions.
Data Collection
The script retrieves money supply data for key markets such as the USA (USM2), Europe (EUM2), China (CNM2), and Japan (JPM2). It also offers additional money supply series for other markets—like Canada (CAM2), Great Britain (GBM2), Russia (RUM2), Brazil (BRM2), Mexico (MXM2), and New Zealand (NZM2)—with extra options (e.g., Australia, India, Korea, Indonesia, Malaysia, Sweden) disabled by default. Moreover, you can enable data for central bank liquidity (such as FED, RRP, TGA, ECB, PBC, BOJ, and other central banks), which are also disabled by default.
Index Calculation
The indicator calculates the index by adding together all the enabled money supply series (and the central bank data if activated) and then scales the sum by dividing it by 1,000,000,000,000 (one trillion). This scaling makes the resulting values more manageable and easier to read on the chart.
Time Offset Feature
A key feature of the script is the time offset. With the input parameter "Time Offset (days)", the user can shift the plotted index line by a specific number of days. The script converts the given offset in days into a number of bars based on the current chart's timeframe. This allows you to adjust for the delay between liquidity changes and their effect on asset prices.
Overall, the indicator plots a line on your chart representing the global liquidity and money supply index, allowing you to visually monitor trends and better understand how liquidity and central bank actions may influence market movements.
What makes this script different from others?
Every supported market—both major regions (USA, Eurozone, China, Japan, etc.) and additional ones—is available. You can toggle each series on or off, so you can view only Money Supply data, only Central Bank Liquidity, or any custom combination.
Separated Data Groups. Inputs are organized into clear groups (“Money Supply”, “Other Money Supply”, “Central Bank Liquidity”), making it easy to focus on just the data you need without clutter.
True Day‑Based Offset. This script converts your chosen “Time Offset (days)” into actual days regardless of timeframe. Whether you’re on a 5‑minute or daily chart, the index is always shifted by exactly the number of days you specify.
M2 Global Liquidity Index [Custom Offsets]M2 Global Liquidity Index
Plots the global M2 money supply alongside price, with two user-configurable forward shifts to help you anticipate macro-driven moves in BTC (or any asset).
Key Features
Current M2 Index (no offset)
Offset A — shift M2 forward by N days (default 78)
Offset B — shift M2 forward by M days (default 109)
Extended Currencies toggle adds 9 additional central banks (CHF, CAD, INR, RUB, BRL, KRW, MXN, ZAR)
All lines share the left-hand axis and scale to trillions
Inputs
Offset A (days): integer ≥ 0 (default 78)
Offset B (days): integer ≥ 0 (default 109)
Include extended currencies?: on/off
How to Use
Add the indicator to any chart (overlay mode).
In Settings → Inputs, enter your desired lead times for Offset A and Offset B.
Toggle extended currencies if you need a broader “global liquidity” view.
Watch how price action (e.g. BTC) tracks the shifted M2 lines to spot potential turning points.
Why It Matters
Changes in money supply often lead risk assets by several weeks to months. This tool makes it easy to visualize and test those correlations directly on your favorite timeframe.
Bitcoin Spot ETF Combined Volume (with MA)Bitcoin Spot ETF Combined Volume Indicator
This TradingView script tracks and combines the daily trading volumes of major Bitcoin Spot ETFs, including:
• IBIT (BlackRock)
• FBTC (Fidelity)
• ARKB (ARK Invest)
• BITB (Bitwise)
• HODL (Valkyrie)
• GBTC (Grayscale)
It plots:
• The total combined volume
• A moving average of combined volume
• Dynamic color changes (green = strong volume, red = weak volume)
• Optional alerts when volume crosses above or below the moving average
Why it matters:
Rising ETF volume often signals increased institutional interest, potential accumulation, or distribution.
Watching volume trends helps spot shifts in Bitcoin’s broader market sentiment.
⸻
Disclaimer:
This tool is for informational and educational purposes only.
It does not constitute financial advice.
Always do your own research (DYOR) and consult a professional before making investment decisions.
Use at your own risk.
Altseason Index | AlchimistOfCrypto
🌈 Altseason Index | AlchimistOfCrypto – Revealing Bitcoin-Altcoin Dominance Cycles 🌈
"The Altseason Index, engineered through advanced mathematical methodology, visualizes the probabilistic distribution of capital flows between Bitcoin and altcoins within a multi-cycle paradigm. This indicator employs statistical normalization principles where ratio coefficients create mathematical boundaries that define dominance transitions between cryptographic asset classes. Our implementation features algorithmically enhanced rainbow visualization derived from extensive market cycle analysis, creating a dynamic representation of value flow with adaptive color gradients that highlight critical phase transitions in the cyclical evolution of the crypto market."
📊 Professional Trading Application
The Altseason Index transcends traditional sentiment models with a sophisticated multi-band illumination system that reveals the underlying structure of crypto sector rotation. Scientifically calibrated across different ratios (TOTAL2/BTC, OTHERS/BTC) and featuring seamless daily visualization, it enables investors to perceive capital transitions between Bitcoin and altcoins with unprecedented clarity.
- Visual Theming 🎨
Scientifically designed rainbow gradient optimized for market cycle recognition:
- Green-Blue: Altcoin accumulation zones with highest capital flow potential
- Neutral White: Market equilibrium zone representing balanced capital distribution
- Yellow-Red: Bitcoin dominance regions indicating defensive capital positioning
- Gradient Transitions: Mathematical inflection points for strategic reallocation
- Market Phase Detection 🔍
- Precise zone boundaries demarcating critical sentiment shifts in the crypto ecosystem
- Daily timeframe calculation ensuring consistent signal reliability
- Multiple ratio analysis revealing the probabilistic nature of market capital flows
🚀 How to Use
1. Identify Market Phase ⏰: Locate the current index relative to colored zones
2. Understand Capital Flow 🎚️: Monitor transitions between Bitcoin and altcoin dominance
3. Assess Mathematical Value 🌈: Determine optimal allocation based on zone location
4. Adjust Investment Strategy 🔎: Modulate position sizing based on dominance assessment
5. Prepare for Rotation ✅: Anticipate capital shifts when approaching extreme zones
6. Invest with Precision 🛡️: Accumulate altcoins in lower zones, reduce in upper zones
7. Manage Risk Dynamically 🔐: Scale portfolio allocations based on index positioning
BTC Growth | AlchimistOfCrypto🌈 BTC Regression Bands & Halvings – Unveiling Bitcoin's Logarithmic Growth Fields 🌈
"The Bitcoin Regression Bands, engineered through advanced logarithmic mathematics, visualizes the probabilistic distribution of Bitcoin's price evolution within a multi-cycle growth paradigm. This indicator employs principles from hyperbolic regression where decay coefficients create mathematical boundaries that define Bitcoin's long-term value progression. Our implementation features algorithmically enhanced rainbow visualization derived from extensive cycle analysis, creating a dynamic representation of Bitcoin's logarithmic growth with adaptive color gradients that highlight critical halving-based phase transitions in the asset's monetary evolution."
📊 Professional Trading Application
The Bitcoin Regression Bands transcends traditional price prediction models with a sophisticated multi-band illumination system that reveals the underlying structure of Bitcoin's monetary evolution. Scientifically calibrated across multiple halving cycles and featuring seamless rainbow visualization, it enables investors to perceive Bitcoin's position within its macro growth trajectory with unprecedented clarity.
- Visual Theming 🎨
Scientifically designed rainbow gradient optimized for cycle pattern recognition:
- Violet-Blue: Lower value accumulation zones with highest mathematical growth potential
- Green: Fair value equilibrium zone representing the regression mean
- Yellow-Orange: Moderate overvaluation regions indicating potential resistance
- Red: Statistical extreme zones indicating mathematical cycle peaks
- Halving Visualization 🔍
- Precise cycle boundaries demarcating Bitcoin's fundamental supply shock events
- Adaptive band spacing based on mathematical cycle progression
- Multiple sub-cycle markers revealing the probabilistic nature of Bitcoin's trajectory
🚀 How to Use
1. Identify Macro Position ⏰: Locate Bitcoin's current price relative to the regression bands
2. Understand Cycle Context 🎚️: Note position within the current halving cycle for time-based analysis
3. Assess Mathematical Value 🌈: Determine potential over/undervaluation based on band location
4. Adjust Investment Strategy 🔎: Modulate position sizing based on mathematical value assessment
5. Identify Cycle Phases ✅: Monitor band transitions to detect accumulation and distribution zones
6. Invest with Precision 🛡️: Utilize lower bands for strategic accumulation, upper bands for strategic reduction
7. Manage Risk Dynamically 🔐: Scale investment allocations based on mathematical cycle positioning
Market Timing(Mastersinnifty)Overview
Market Timing (Mastersinnifty) is a proprietary visualization tool designed to help traders study historical market behavior through structural pattern similarity.
The script analyzes the most recent session’s price action and identifies the closest-matching historical sequence among thousands of past patterns. Once a match is found, the script projects the subsequent historical price path onto the current chart for easy visual reference.
Unlike traditional indicators, Market Timing (Mastersinnifty) does not generate trade signals. Instead, it offers a unique historical scenario analysis based on quantified structural similarity.
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How It Works
- The script captures the last 20 closing prices and compares them to historical price sequences from the past 8000 bars.
- Similarity is computed using the Euclidean distance formula (sum of squared differences) between the current pattern and historical candidates.
- Upon finding the most similar past pattern, the subsequent historical movement is normalized relative to session opening and plotted onto the current chart using projection lines.
- The projection automatically adapts to intraday, daily, weekly, or monthly timeframes, with the option for manual or automatic projection length settings.
- Session start detection is handled automatically based on volume thresholds and price-time analysis to adjust for market openings across different instruments.
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Key Features
- Historical Pattern Matching: Quantitative matching of the most similar past price structure.
- Dynamic Projections: Visualizes likely historical scenarios based on past market behavior.
- Auto/Manual Projection Length: Flexible control over the number of projected bars.
- Multi-Timeframe Support: Works seamlessly across intraday, daily, weekly, and monthly charts.
- Purely Visual Context: Designed to support human decision-making without replacing it with automatic trade signals.
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Who Can Benefit
- Traders studying market structure repetition and price symmetry.
- Visual thinkers who prefer scenario-based planning over fixed indicator systems.
- Intraday, swing, and position traders looking for historical context to complement price action, volume, and momentum studies.
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How to Use
- Apply the script to any asset — including indices, stocks, commodities, forex, or crypto.
- Select your preferred timeframe.
- Choose "Auto" or "Custom" for the projection length.
- Observe the projected lines:
- Upward slope = Historical bullish continuation.
- Downward slope = Historical bearish continuation.
- Flat movement = Historical sideways movement.
- Combine insights with volume, support/resistance, and price action for better decision-making.
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Important Notes
- This script does not predict the future. It offers a visual reference based on historical similarity.
- Always validate projected scenarios with live market conditions.
- Market structure evolves; past behavior may not repeat under new market dynamics.
- Use this tool for educational and research purposes only.
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Disclaimer
This is not financial advice. The Market Timing (Mastersinnifty) tool is intended for research and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always apply sound risk management practices.
