Monthly Buy IndicatorIt shows us the the total balance when buying monthly, ploting the total invested amount and total current balance along the time.
Opening the Data Window, it displays the profit (%) and the number of trades.
The "Allow Fractional Purchase" flag can be used to check the the performance of the ticker, disregarding how much the monthly amount is set vs the price of the ticker.
The trades are considering buying the available amount on the 1st candle of each month, at the Open price. The "Total Balance" considers the close price of each candle.
Cari dalam skrip untuk "Cycle"
EMA Scoring Strategy## **📊 EMA Scoring Strategy for Trend Analysis**
This strategy is designed to **identify bullish trends** based on multiple **Exponential Moving Averages (EMAs)**. It assigns a **score** based on how the price and EMAs interact, and highlights strong bullish conditions when the score reaches **4 or above**.
---
## **🔹 Strategy Logic**
### 1️⃣ **Calculating EMAs**
- **EMA 21** → Short-term trend
- **EMA 50** → Mid-term trend
- **EMA 100** → Long-term trend
---
### 2️⃣ **Scoring System**
For each trading day, the strategy assigns **+1 or -1 points** based on the following conditions:
| Condition | Score |
|-----------|-------|
| If **Price > EMA 21** | +1 |
| If **Price > EMA 50** | +1 |
| If **Price > EMA 100** | +1 |
| If **EMA 21 > EMA 50** | +1 |
| If **EMA 50 > EMA 100** | +1 |
| If **EMA 21 > EMA 100** | +1 |
| If **Price < EMA 21** | -1 |
| If **Price < EMA 50** | -1 |
| If **Price < EMA 100** | -1 |
| If **EMA 21 < EMA 50** | -1 |
| If **EMA 50 < EMA 100** | -1 |
| If **EMA 21 < EMA 100** | -1 |
---
### 3️⃣ **Bullish Confirmation** (Score ≥ 4)
- The **score is calculated every day**.
- When the **score reaches 4 or above**, it confirms a strong **bullish trend**.
- A **green background** is applied to highlight such days.
- A **histogram** is plotted **only when the score is 4 or higher** to keep the chart clean.
- A **buy signal** is generated when the score **crosses above 4**.
---
## **🔹 Visualization & Alerts**
### ✅ **What You See on the Chart**
1. **EMA Lines (21, 50, 100)** 📈
2. **Green Background for Strong Bullish Days (Score ≥ 4)** ✅
3. **Histogram Showing Score (Only for 4 and above)** 📊
4. **Buy Signal When Score Crosses Above 4** 💰
### 🔔 **Alerts**
- **An alert is triggered** when the score crosses **above 4**, notifying the user about a bullish trend.
---
## **📌 How to Use This Strategy**
1. **Identify Strong Bullish Trends:** When the score is **4 or above**, it suggests that price momentum is strong.
2. **Enter Trades on Buy Signals:** When the score **crosses above 4**, it could be a good time to buy.
3. **Stay in the Trade While Score is 4+:** The green background confirms a **strong uptrend**.
4. **Exit When Score Drops Below 4:** This suggests weakening momentum.
---
## **🔹 Advantages of This Strategy**
✅ **Simple & Objective** - Uses clear rules for trend confirmation
✅ **Filters Out Noise** - Only highlights strong bullish conditions
✅ **Works on Any Market** - Can be applied to stocks, indices, crypto, etc.
✅ **Customizable** - You can tweak EMAs or score conditions as needed
---
## **🚀 Next Steps**
Would you like me to add **stop-loss conditions**, **sell signals**, or any **extra confirmations like RSI or volume**? 😃
Bradley SiderographThis indicator functions as a Planetary Barometer, bringing the Bradley-Siderograph directly onto your TradingView chart. Designed for tracking the algebraic sum of planetary aspects and declination values in relation to market movements, it analyzes sidereal potential, long-term and mid-term planetary aspects, and the declination factor to provide insight into potential shifts in mass psychology. The built-in gauges act like a barometer, visually measuring the intensity and range of the components.
As Donald Bradley states in Stock Market Prediction:
" The siderograph is nothing more than a time chart showing a wavy line, which represents the algebraic total of the declination factor, the long terms, and the middle terms. It can be computed for any period—past or future—for which an ephemeris is available. Every aspect, whether long or middle term, is assigned a theoretical value of 10 at its peak. The value of the declination factor is half the algebraic sum of the given declinations of Venus and Mars, with northern declination considered positive and southern declination negative. "
How the Bradley-Siderograph Works:
The Siderograph assigns positive and negative valencies based on the transits of inner and outer planets, categorized into long-term and mid-term aspects.
Each aspect (15° orb) is given a theoretical value, with the peak set at ±10. The approach and separation phases influence the weighting of each aspect leading up to its peak.
The sign of the valency depends on the type of aspect:
Squares and oppositions are assigned negative values
Trines and sextiles are assigned positive values
Conjunctions can be either positive or negative, depending on the planetary combination
Formula Used:
The Siderograph is computed as follows:
𝑃 = 𝑋 (𝐿 + 𝐷) + 𝑀
Where:
P = Sidereal Potential (final computed value)
X = Multiplier (to weight long-term aspects)
L = Long-term aspects (10 aspect combinations)
D = Declination factor (half the sum of Venus and Mars declinations)
M = Mid-term aspects
The long-term component (L + D) can be multiplied by a chosen factor (X) to emphasize its influence relative to the mid-term aspects.
How to Use the Indicator:
Once applied, the Siderograph line overlays on the chart, using the left-side scale for reference.
The indicator provides separate plots for:
Sidereal potential
Long-term aspects
Mid-term aspects
Declination factor
Each component can be toggled on or off for deeper analysis.
Gauges "provided by @faiyaz7283 library" display the high and low range for each curve, allowing quick identification of extreme values.
The indicator also marks the yearly high and low of the current year’s sidereal potential, providing a reference for when the market is trading above or below key levels. This feature was inspired by an observation made by Bradley in his book, which I wanted to incorporate here.
Users can fully customize the indicator by:
Switching between geocentric and heliocentric views.
Adjusting the orb of planetary transits to refine aspect sensitivity.
Multiplier (to weight long-term aspects)
Explore the Bradley-Siderograph and experiment with its settings.
Main Use Case
The Siderograph can be thought of as a psychological wind sock, gauging shifts in mass sentiment in response to planetary influences. Rather than forecasting market direction outright, it serves as an early warning system, signaling when conditions may be primed for changes in collective psychology.
As Donald Bradley notes in Stock Market Prediction:
" A limitation of the siderograph is that it cannot be construed as a forecast of secular trend. In statistical terminology, 'lines of regression' fitted to the market course and to the potential should not be expected to completely agree, for reasons obvious to everybody with keen business sense or commercial training. However, the siderograph may be depended upon to reward its analyst with foreknowledge of coming conditions in general, so that the non-psychological factors may be evaluated accordingly. By this, we mean that the potential will afford one with clues as to how the mass mind will 'take' the other mechanical or governmental vicissitudes affecting high finance. The siderograph may be thought of as a principle 'symptom' in diagnosing current market circumstances and as a sounding-board for prognoses concerning further developments. "
Planned Improvement:
While Bradley did not construct the Siderograph for direct forecasting, an enhancement to this indicator would be the ability to project each curve forward in time, providing a clearer view of how upcoming planetary aspects.
This indicator is being released as open source with the hope of further refining and expanding its capabilities—particularly in developing future plots that improve visualization and analysis. Contributions and feedback are encouraged to enhance its usability and advance the study of planetary influences in market behavior.
Credits & Acknowledgments:
Inspired by Donald Bradley and his work in Stock Market Prediction: The Planetary Barometer and How to Use It.
Built using Astrolib, developed by @BarefootJoey
Built using Gauges, developed by @faiyaz7283
Price and Longitude Angles Planetary Price & Longitude Angles Indicator
This indicator plots planetary price and longitude angles starting from a user-selected date and time, offering a distinctive lens to explore the relationship between price and planetary timing. It supports both heliocentric and geocentric, enabling flexible and in-depth planetary analysis. The angles can be plotted across any time frame for maximum versatility.
How to Use
Once the indicator is loaded, you’ll be prompted to select a starting date and time for your analysis. From there, customize it as follows:
Select Planetary Options:
To plot the price and longitude for a single planet, choose the same planet in both dropdown menus.
To plot the average of two planets, select a different planet in each dropdown.
Set the Price Per Degree of Longitude: Adjust this value to define the scaling of the planetary angles relative to price.
Customize Fan Settings:
Toggle the mirroring of the fan on or off based on your needs.
Show or hide specific angle divisions to tailor the display to your preferences.
Display or conceal the information label that indicates the price per longitude and the number of degrees traveled.
This indicator is inspired by the methodologies of W.D. Gann and Patrick Mikula, expanding on concepts from Gann Scientific Method Unveiled, Volume 2. It was built using Astrolib by @BarefootJoey
I crafted this tool through dedication to support my own study of these ideas. I’m sharing it open-source not only to deepen my understanding and honor the work of Gann and Mikula, but also to invite collaboration. There’s always room for improvement—whether in functionality, accuracy, or design—and I hope others will join me in refining it. This is for those like me: eager to explore these concepts but lacking tools to experiment with. Let’s build on it together.
Flat NumbersCustomizable Price Range: Set the start price and end price to define the range in which horizontal lines will be plotted.
Line Color: Choose the color of the horizontal lines to match your chart's theme or personal preference.
Line Width: Adjust the width of the lines (from 1 to 5) to control their visibility.
Price Step Size: By default, the script plots lines every 100 price units within the range, but this step size can be customized if desired.
Dynamic Line Plotting: The script automatically calculates the number of lines needed and plots them at each interval between the start and end prices.
RSI Signal Pro[UgurTash]Introducing RSI Signal Pro for TradingView
RSI Signal Pro is a refined version of the standard Relative Strength Index (RSI) , designed to improve signal accuracy by generating alerts in real-time instead of waiting for multiple candle confirmations. This enhancement allows traders to react faster to market movements while maintaining the familiar RSI structure.
What Makes RSI Signal Pro Unique?
✅ Real-Time RSI Signals: Unlike the traditional RSI, which waits for candle confirmations, this version provides immediate buy and sell signals upon key level crossovers.
✅ Dual Trading Modes: Choose between Simple Mode (standard RSI crossovers) and Advanced Mode (momentum-adjusted signals with price validation).
✅ Customizable RSI-Based Moving Average (MA): Optionally apply SMA, EMA, WMA, or VWMA to smooth RSI fluctuations and identify longer-term trends.
✅ Adaptive Signal Filtering: The Advanced Mode reduces false signals by filtering RSI movements with a momentum threshold and historical RSI validation.
✅ User-Friendly Interface: Simple ON/OFF toggles allow easy customization of the indicator's behavior.
How This Indicator Works
🔹 Simple Mode: Identical to traditional RSI, triggering signals when RSI crosses 30 (bullish) or 70 (bearish).
🔹 Advanced Mode: Uses historical RSI pivots, momentum verification, and price confirmation to refine signal accuracy—ideal for traders looking for more precise entries.
🔹 RSI-Based MA: Optionally overlay moving averages onto the RSI, providing additional trend confirmation.
How to Use RSI Signal Pro
1️⃣ Select a mode: Use Simple Mode for frequent alerts or Advanced Mode for refined signals.
2️⃣ Enable RSI-Based MA: Apply SMA, EMA, WMA, or VWMA to smooth RSI fluctuations.
3️⃣ Set alerts: TradingView notifications allow you to react to real-time RSI movements instantly.
4️⃣ Apply to multiple markets: Effective for crypto, forex, stocks, and commodities.
Why Use RSI Signal Pro Instead of Standard RSI?
While RSI Signal Pro maintains the core functionality of the standard RSI, its real-time signal generation allows traders to make faster decisions without the typical delay caused by waiting for candle confirmations. Additionally, the optional momentum filtering and moving average smoothing ensure fewer false signals and better trade accuracy.
Killzone Session Lines [odnac]This Pine Script indicator displays vertical lines marking the start of key market sessions, known as Killzones, for both today and yesterday. These lines help traders identify important trading hours for the Asia, Europe, and New York sessions.
Killzone Vertical Lines:
Draws vertical lines for the start of the Asia, Europe, and New York sessions.
Displays lines for both today and the previous day to compare price action across sessions.
Customizable Time Settings:
Users can set the exact start hour and minute for each Killzone.
Time zones adjust automatically based on the chart's time zone.
Visual Customization:
Change the color, width, and style of the vertical lines (solid, dotted, dashed).
Toggle each session's lines individually for a cleaner chart.
Previous Start Lines:
Optional lines for the opening of today, the previous day, and the previous week, providing historical context for support and resistance levels.
Why Use This Indicator?
Session Awareness: Know exactly when major market sessions start to identify potential volatility spikes.
Historical Context: Compare today’s price action with previous sessions to spot recurring patterns.
Clean Charting: Automatic updates prevent clutter, keeping your workspace organized.
Flexible Customization: Tailor the display to fit your trading style and preferences.
Float Turnover Signal
The *Float Turnover Signal* indicator helps traders analyze the relationship between price changes and trading volume relative to the stock's free float. It generates signals based on turnover ratios, providing insights into liquidity-driven price movements.
**How It Works**
- The indicator calculates the **percentage change** in closing price from two days ago to the previous day.
- It retrieves the **free float** (the number of publicly available shares) from TradingView.
- It then calculates the **turnover percentage**, which represents the previous day's trading volume as a percentage of the free float.
- The **turnover ratio** is derived by dividing the price change percentage by the turnover percentage.
- Based on this ratio, the indicator generates **color-coded signals**:
- 🟢 **Green Signal** – Indicates a balanced turnover ratio (0.8 to 1.2), suggesting a stable price-volume relationship.
- 🟡 **Yellow Signal** – Indicates a near-optimal but not perfect ratio (0.6-0.8 or 1.2-1.5), suggesting caution.
**Customization & Features**
✅ **Adjustable Signal Display** – Users can choose how many recent bars will display signals using the `"Number of Bars to Display Signal"` setting.
✅ **Works on Any Timeframe** – The indicator adapts to different chart resolutions.
✅ **Helps Identify Volume-Driven Moves** – Ideal for spotting potential breakouts, liquidity shifts, and confirming price action validity.
Buy on VolumeThis script has several weaknesses:
1. **Overly Simplistic Logic** – The buy signal is based on just two conditions (DEMA crossing above a Lorentzian Line and a volume spike), which may not be robust enough for real trading conditions.
2. **Lack of Sell Signals** – The script only focuses on buy signals without any exit strategy, making it incomplete for practical trading.
3. **Volume Confirmation May Be Unreliable** – The threshold for volume confirmation (50% above average) is arbitrary and may produce frequent false positives or fail in low-liquidity conditions.
4. **No Risk Management** – There is no stop-loss, take-profit, or risk-adjustment mechanism, making it unsuitable for serious trading.
5. **Potential for Late Entries** – The reliance on moving averages (DEMA) can introduce lag, causing buy signals to appear late after a price move has already occurred.
6. **Limited Adaptability** – The fixed parameter settings (e.g., DEMA period of 6, Lorentzian length of 21) may not work across different market conditions or assets.
7. **No Consideration for Market Trends** – The script does not account for broader market trends, which could lead to poor entries in bearish conditions.
8. **Visual Clutter** – The plotted signals and indicators might create unnecessary chart noise, making it difficult to analyze price action effectively.
9. **Alert Spam Potential** – Without additional filtering conditions, the script may trigger frequent buy alerts, leading to signal fatigue.
[SHORT ONLY] ATR Sell the Rip Mean Reversion Strategy█ STRATEGY DESCRIPTION
The "ATR Sell the Rip Mean Reversion Strategy" is a contrarian system that targets overextended price moves on stocks and ETFs. It calculates an ATR‐based trigger level to identify shorting opportunities. When the current close exceeds this smoothed ATR trigger, and if the close is below a 200-period EMA (if enabled), the strategy initiates a short entry, aiming to profit from an anticipated corrective pullback.
█ HOW IS THE ATR SIGNAL BAND CALCULATED?
This strategy computes an ATR-based signal trigger as follows:
Calculate the ATR
The strategy computes the Average True Range (ATR) using a configurable period provided by the user:
atrValue = ta.atr(atrPeriod)
Determine the Threshold
Multiply the ATR by a predefined multiplier and add it to the current close:
atrThreshold = close + atrValue * atrMultInput
Smooth the Threshold
Apply a Simple Moving Average over a specified period to smooth out the threshold, reducing noise:
signalTrigger = ta.sma(atrThreshold, smoothPeriodInput)
█ SIGNAL GENERATION
1. SHORT ENTRY
A Short Signal is triggered when:
The current close is above the smoothed ATR signal trigger.
The trade occurs within the specified trading window (between Start Time and End Time).
If the EMA filter is enabled, the close must also be below the 200-period EMA.
2. EXIT CONDITION
An exit Signal is generated when the current close falls below the previous bar’s low (close < low ), indicating a potential bearish reversal and prompting the strategy to close its short position.
█ ADDITIONAL SETTINGS
ATR Period: The period used to calculate the ATR, allowing for adaptability to different volatility conditions (default is 20).
ATR Multiplier: The multiplier applied to the ATR to determine the raw threshold (default is 1.0).
Smoothing Period: The period over which the raw ATR threshold is smoothed using an SMA (default is 10).
Start Time and End Time: Defines the time window during which trades are allowed.
EMA Filter (Optional): When enabled, short entries are only executed if the current close is below the 200-period EMA, confirming a bearish trend.
█ PERFORMANCE OVERVIEW
This strategy is designed for use on the Daily timeframe, targeting stocks and ETFs by capitalizing on overextended price moves.
It utilizes a dynamic, ATR-based trigger to identify when prices have potentially peaked, setting the stage for a mean reversion short entry.
The optional EMA filter helps align trades with broader market trends, potentially reducing false signals.
Backtesting is recommended to fine-tune the ATR multiplier, smoothing period, and EMA settings to match the volatility and behavior of specific markets.
IPO Date ScreenerThis script, the IPO Date Screener, allows traders to visually identify stocks that are relatively new, based on the number of bars (days) since their IPO. The user can set a custom threshold for the number of days (bars) after the IPO, and the script will highlight new stocks that fall below that threshold.
Key Features:
Customizable IPO Days Threshold: Set the threshold for considering a stock as "new." Since Pine screener limits number bars to 500, it will work for stocks having trading days below 500 since IPO which almost 2 years.
Column Days since IPO: Sort this column from low to high to see newest to oldest STOCK with 500 days of trading.
Since a watchlist is limited to 1000 stocks, use this pines script to screen stocks within the watch list having trading days below 500 or user can select lower number of days from settings.
This is not helpful to add on chart, this is to use on pine screener as utility.
52-Week & 5-Year High/Low with DatesThis indicator is designed to help traders quickly identify key price levels and their historical context by displaying the 52-week high/low and 5-year high/low prices along with their respective dates. It provides a clear visual representation of these levels directly on the chart and in a dashboard table for easy reference.
Key Features
52-Week High/Low:
Displays the highest and lowest prices over the last 252 trading days (approximately 52 weeks).
Includes the exact date when these levels were reached.
5-Year High/Low:
Displays the highest and lowest prices over the last 1260 trading days (approximately 5 years).
Includes the exact date when these levels were reached.
Visual Labels:
High and low levels are marked on the chart with labels that include the price and date.
Dashboard Table:
A table in the top-right corner of the chart summarizes the 52-week and 5-year high/low prices and their dates for quick reference.
Customizable Date Format:
Dates are displayed in the YYYY-MM-DD format for clarity and consistency.
Blockchain Fundamentals: Liquidity & BTC YoYLiquidity & BTC YoY Indicator
Overview:
This indicator calculates the Year-over-Year (YoY) percentage change for two critical metrics: a custom Liquidity Index and Bitcoin's price. The Liquidity Index is derived from a blend of economic and forex data representing the M2 money supply, while the BTC price is obtained from a reliable market source. A dedicated limit(length) function is implemented to handle limited historical data, ensuring that the YoY calculations are available immediately—even when the chart's history is short.
Features Breakdown:
1. Limited Historical Data Workaround
- Functionality: limit(length) The function dynamically adjusts the lookback period when there isn’t enough historical data. This prevents delays in displaying YoY metrics at the beginning of the chart.
2. Liquidity Calculation
- Data Sources: Combines multiple data streams:
USM2, ECONOMICS:CNM2, USDCNY, ECONOMICS:JPM2, USDJPY, ECONOMICS:EUM2, USDEUR
- Formula:
Liquidity Index = USM2 + (CNM2 / USDCNY) + (JPM2 / USDJPY) + (EUM2 / USDEUR)
[b3. Bitcoin Price Calculation
- Data Source: Retrieves Bitcoin's price from BITSTAMP:BTCUSD on the user-selected timeframe for its historical length.
4. Year-over-Year (YoY) Percent Change Calculation
- Methodology:
- The indicator uses a custom function, to autodetect the proper number of bars, based on the selected timeframe.
- It then compares the current value to that from one year ago for both the Liquidity Index and BTC price, calculating the YoY percentage change.
5. Visual Presentation
- Plotting:
- The YoY percentage changes for Liquidity (plotted in blue) and BTC price (plotted in orange) are clearly displayed.
- A horizontal zero line is added for visual alignment, making it easier to compare the two copies of the metric. You add one copy and only display the BTC YoY. Then you add another copy and only display the M2 YoY.
-The zero lines are then used to align the scripts to each other by interposing them. You scale each chart the way you like, then move each copy individually to align both zero lines on top of each other.
This indicator is ideal for analysts and investors looking to monitor macroeconomic liquidity trends alongside Bitcoin's performance, providing immediate insights.
Multi-Asset Ratio (20 vs 5) - LuchapThis indicator calculates and displays the ratio between the sum of the prices of several base assets and the sum of the prices of several quote assets. You can select up to 20 base assets and 5 quote assets, and enable or disable each asset individually to refine your analysis. This ratio allows you to quickly evaluate the relative performance of different groups of assets.
SNR Quarter Pointsfor btmm swingers
this is qp /quater point find in trading view
Here's a description for your TradingView Pine Script indicator:
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**Support & Resistance (SNR) Lines Indicator**
This TradingView indicator automatically draws Support and Resistance (SNR) lines on the chart at every 250-pip level, starting from 0.0000. The indicator aims to help traders identify key price levels where the market is likely to experience reversal or consolidation. By plotting lines at regular intervals, the script provides a clear visual representation of potential support and resistance zones, aiding traders in making more informed trading decisions. The levels are dynamically adjusted based on market price movement, ensuring they stay relevant for active trading.
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Let me know if you’d like to tweak it further!
Timeframe Display + Countdown📘 Help Guide: Timeframe Display + Countdown + Alert
🔹 Overview
This indicator displays:
✅ The selected timeframe (e.g., 5min, 1H, 4H)
✅ A countdown timer showing minutes and seconds until the current candle closes
✅ An optional alert that plays a sound when 1 minute remains before the new candle starts
⚙️ How to Use
1️⃣ Add the Indicator
• Open TradingView
• Click on Pine Script Editor
• Copy and paste the script
• Click Add to Chart
2️⃣ Customize Settings
• Text Color: Choose a color for the displayed text
• Text Size: Adjust the font size (8–24)
• Transparency: Set how transparent the text is (0%–100%)
• Position: Choose where the text appears (Top Left, Top Right, Bottom Left, Bottom Right)
• Enable Audible Alert: Turn ON/OFF the alert when 1 minute remains
3️⃣ Set Up an Audible Alert in TradingView
🚨 Important: Pine Script cannot play sounds directly; you must set up a manual alert in TradingView.
Steps:
1. Click “Alerts” (🔔 icon in TradingView)
2. Click “Create Alert” (+ button)
3. In “Condition”, select this indicator (Timeframe Display + Countdown)
4. Under “Options”, choose:
• Trigger: “Once Per Bar”
• Expiration: Set a valid time range
• Alert Actions: Check “Play Sound” and choose a sound
5. Click “Create” ✅
🛠️ How It Works
• Countdown Timer:
• Updates in real time, displaying MM:SS until the candle closes
• Resets when a new candle starts
• Alert Trigger:
• When 1:00 minute remains, an alert is sent
• If properly configured in TradingView, it plays a sound
Killzone Highlights with Volume [odnac]
Description:
This indicator seamlessly integrates volume analysis with kill zone highlights across different market sessions.
The indicator dynamically displays trading volume and visually emphasizes key trading sessions in various time zones, including Asia, Europe, and New York (both AM and PM sessions).
Users have the flexibility to customize the colors of bullish and bearish volume bars, as well as the transparency and color of the kill zone highlights, allowing for tailored visual analysis of trading periods.
Features:
Bullish and Bearish Volume Colors:
Displays the volume of trades with user-defined colors for bullish (up) and bearish (down) candles.
Killzone Highlights:
Highlights the kill zones for Asia, Europe, New York AM, and New York PM sessions with user-defined colors and transparency.
Customization Options:
Allows users to adjust the colors, transparency, and time settings for each kill zone.
Weekend Handling:
Option to hide kill zone highlights during weekends.
Timeframe Limitation:
Users can set the maximum timeframe for which the kill zone highlights will be displayed.
Usage:
This indicator is designed for traders who want to gain insights into market activity during key trading sessions.
By combining volume data with visually distinct kill zone highlights, it helps traders make informed decisions based on the most active trading periods.
Ideal for intraday traders looking to leverage session-based strategies for more effective trading decisions.
Blockchain Fundamentals: Global LiquidityGlobal Liquidity Indicator Overview
This indicator provides a comprehensive technical analysis of liquidity trends by deriving a Global Liquidity metric from multiple data sources. It applies a suite of technical indicators directly on this liquidity measure, rather than on price data. When this metric is expanding Bitcoin and crypto tends to bullish conditions.
Features:
1. Global Liquidity Calculation
Data Integration: Combines multiple market data sources using a ratio-based formula to produce a unique liquidity measure.
Custom Metric: This liquidity metric serves as the foundational input for further technical analysis.
2. Timeframe Customization
User-Selected Period: Users can select the data timeframe (default is 2 months) to ensure consistency and flexibility in analysis.
3. Additional Technical Indicators
RSI, Momentum, ROC, MACD, and Stochastic:
Each indicator is computed using the Global Liquidity series rather than price.
User-selectable toggles allow for enabling or disabling each individual indicator as desired.
4. Enhanced MACD Visualization
Dynamic Histogram Coloring:
The MACD histogram color adjusts dynamically: brighter hues indicate rising histogram values while darker hues indicate falling values.
When the histogram is above zero, green is used; when below zero, red is applied, offering immediate visual insight into momentum shifts.
Conclusion
This indicator is an enlightening tool for understanding liquidity dynamics, aiding in macroeconomic analysis and investment decision-making by highlighting shifts in liquidity conditions and market momentum.
Shifted Buy PressureDifferentiated Buy Pressure Indicator Documentation
Overview: The Differentiated Buy Pressure indicator is a custom Pine Script™ indicator designed to measure and visualize buy and sell pressure in the market. It calculates buy pressure based on a combination of volume, range, and gap, and provides a differentiated buy pressure which is shifted by 90°, offering predictive insights.
Inputs:
Window Size: The window size for average calculation (default: 20).
Show Overlay: Option to show the price overlay (default: false).
Overlay Boost Factor: Boosting factor for overlaying the price (default: 0.01).
Calculations:
Relative Range: Calculated as (high - low) / close.
Average Range: Simple moving average of the relative range over the specified window.
Average Volume: Simple moving average of the volume over the specified window.
Relative Gap: Calculated as open / close .
Average Gap: Simple moving average of the relative gap over the specified window.
Buy Pressure: Calculated using the formula: buy_pressure = -math.log(relative_range / avg_range * volume / avg_volume * relative_gap / avg_gap)
Differentiated Buy Pressure: Calculated as the difference between the current and previous buy pressure: diff_buy_pressure = buy_pressure - buy_pressure
Plots:
Zero Line: A horizontal line at zero for reference.
Buy Pressure: Plotted in blue, representing the calculated buy pressure.
Differentiated Buy Pressure: Plotted in red, representing the differentiated buy pressure.
Overlay: Optionally plots the price overlay boosted by the differentiated buy pressure.
Labels:
Labels are created to display the buy pressure and differentiated buy pressure values on the chart.
Usage: This indicator helps traders visualize the buy and sell pressure in the market. Positive values indicate buy pressure, while negative values indicate sell pressure. The differentiated buy pressure, shifted by 90°, provides predictive insights into future market movements.
This documentation provides a comprehensive overview of the Differentiated Buy Pressure indicator, explaining its purpose, inputs, calculations, and usage.
Opening Score with DivergenceOverview
The Opening Score Indicator is a versatile tool designed to help traders assess market sentiment, trend direction, and potential reversals. By combining Opening Range Breakout (ORB), VWAP, Trend, Volatility, and Divergence Detection, this indicator provides a composite score that adapts to different market conditions.
This version includes divergence detection between the Opening Score and price, which highlights potential trend reversals or continuations before they happen. When a regular divergence occurs, the histogram bar turns orange, signaling an increased probability of a trend change.
Best for Both Intraday & Longer-Term Charts
📊 Optimized for intraday trading → Works well on 1m to 30m timeframes for short-term strategies.
📈 Also effective on longer-term charts → Can be used on 1-hour, 4-hour, daily, or weekly charts to identify macro trends and momentum shifts.
🕰️ Adapts to different market conditions → Whether you’re a day trader, swing trader, or position trader, the Opening Score helps you track trend health and reversals.
How It Works
📊 Composite Opening Score Calculation
• ORB Signal → Detects bullish/bearish breakouts based on the opening range.
• VWAP Signal → Measures price positioning relative to VWAP for trend confirmation.
• Trend Signal → Uses a moving average to determine market direction.
• Volatility Signal → Tracks ATR changes to assess market strength.
• Divergence Detection → Identifies regular and hidden divergences for potential reversals or trend continuation.
🔹 Reversal Alerts with Color-Coded Histogram
• Green Bars → Normal bullish Opening Score.
• Red Bars → Normal bearish Opening Score.
• Orange Bars → Warning! Regular Divergence detected → Possible trend reversal.
🔹 Hidden & Regular Divergence Detection
• Regular Divergence (Reversal Signals)
• 📉 Bearish Regular Divergence → Price makes a Higher High, but Opening Score makes a Lower High → 🔻 Possible Downtrend Reversal.
• 📈 Bullish Regular Divergence → Price makes a Lower Low, but Opening Score makes a Higher Low → 🔼 Possible Uptrend Reversal.
• Hidden Divergence (Trend Continuation Signals)
• 📉 Bearish Hidden Divergence → Price makes a Lower High, but Opening Score makes a Higher High → 🔻 Trend Likely to Continue Down.
• 📈 Bullish Hidden Divergence → Price makes a Higher Low, but Opening Score makes a Lower Low → 🔼 Trend Likely to Continue Up.
How to Use It
✅ Watch for Reversal Alerts (Orange Bars) → These highlight potential market turning points.
✅ Use the Zero Line as a Trend Filter → A score above 0 suggests bullish conditions, while below 0 signals bearish conditions.
✅ Combine with Market Structure & Volume Profile → Works well when paired with support/resistance levels, liquidity zones, and order flow data.
✅ Adjust settings based on timeframe → Increase moving average length & lookback periods for longer-term analysis.
Why Use This Indicator?
🚀 Works for both short-term and long-term traders → Adapts to intraday and higher timeframes.
📊 Multi-Factor Analysis → Combines multiple key market indicators for better accuracy.
🎯 Customizable Weighting → Adjust the influence of each signal to suit your trading style.
✅ No Clutter – Only the Opening Score is plotted → Keeps your chart clean & efficient.
🔔 Recommended for Intraday Trading (1m – 30m) AND Longer-Term Analysis (1H – Weekly) → Use this indicator to enhance your trend detection & reversal strategy! 🚀
Killzones & Previous High-Low Liquidity [odnac]This indicator is designed for use in intraday trading to visualize key "Killzones" (specific time windows during different global market sessions) and highlight liquidity levels based on previous highs and lows from the previous day and week.
It helps traders identify potential market entry and exit points based on time-based trading zones and price action levels.
Key Features:
Killzone (Market Session Timeframes):
Asia (2000-0000 UTC): Displays a shaded box over the Asia trading session.
Europe (0200-0500 UTC): Highlights the European trading session.
New York AM (0830-1100 UTC): Represents the morning session of the NY market.
New York PM (1330-1600 UTC): Represents the afternoon session of the NY market.
Each of these timeframes can be customized in terms of session start and end times, and the shaded areas will help identify high liquidity periods when the market tends to be more active.
Previous High-Low Liquidity Zones:
Previous Week's High/Low: Displays lines at the high and low of the previous week.
These are important liquidity levels that can influence price action.
Previous Day's High/Low: Shows the high and low from the previous trading day.
These are also significant levels to watch for potential support and resistance.
Filters and Customization:
Position Filtering: The indicator allows users to filter out previous highs or lows if the current price doesn't align with those levels.
For example, it can filter out previous week highs if the current price is lower than that level.
Vertical Lines: Optional vertical lines to highlight key time points such as the start and end of the previous week and day.
How It Works:
The indicator visually draws "killzones" as shaded regions on the chart, indicating periods of increased market activity.
This can help traders align their strategies with the most liquid periods of the day.
The previous high and low lines (both for the previous week and the previous day) are drawn as solid lines and can be toggled on/off in the settings.
Labels are added to indicate the specific levels and periods.
The indicator provides clear visual cues, helping traders assess if the price is near important liquidity levels and whether the current market conditions align with those levels.
Customizable Settings:
You can control whether each Killzone and liquidity level is shown on the chart.
Color customization for the various zones and lines is also available.
The indicator also lets you decide whether to hide weekend data, set time-frame limits, and choose whether or not to show vertical lines at the beginning and end of each trading session.
This indicator is aimed at traders who want to trade based on high-liquidity periods and understand where key support and resistance levels are likely to emerge based on previous price action.
Volatility Momentum Breakout StrategyDescription:
Overview:
The Volatility Momentum Breakout Strategy is designed to capture significant price moves by combining a volatility breakout approach with trend and momentum filters. This strategy dynamically calculates breakout levels based on market volatility and uses these levels along with trend and momentum conditions to identify trade opportunities.
How It Works:
1. Volatility Breakout:
• Methodology:
The strategy computes the highest high and lowest low over a defined lookback period (excluding the current bar to avoid look-ahead bias). A multiple of the Average True Range (ATR) is then added to (or subtracted from) these levels to form dynamic breakout thresholds.
• Purpose:
This method helps capture significant price movements (breakouts) while ensuring that only past data is used, thereby maintaining realistic signal generation.
2. Trend Filtering:
• Methodology:
A short-term Exponential Moving Average (EMA) is applied to determine the prevailing trend.
• Purpose:
Long trades are considered only when the current price is above the EMA, indicating an uptrend, while short trades are taken only when the price is below the EMA, indicating a downtrend.
3. Momentum Confirmation:
• Methodology:
The Relative Strength Index (RSI) is used to gauge market momentum.
• Purpose:
For long entries, the RSI must be above a mid-level (e.g., above 50) to confirm upward momentum, and for short entries, it must be below a similar threshold. This helps filter out signals during overextended conditions.
Entry Conditions:
• Long Entry:
A long position is triggered when the current closing price exceeds the calculated long breakout level, the price is above the short-term EMA, and the RSI confirms momentum (e.g., above 50).
• Short Entry:
A short position is triggered when the closing price falls below the calculated short breakout level, the price is below the EMA, and the RSI confirms momentum (e.g., below 50).
Risk Management:
• Position Sizing:
Trades are sized to risk a fixed percentage of account equity (set here to 5% per trade in the code, with each trade’s stop loss defined so that risk is limited to approximately 2% of the entry price).
• Stop Loss & Take Profit:
A stop loss is placed a fixed ATR multiple away from the entry price, and a take profit target is set to achieve a 1:2 risk-reward ratio.
• Realistic Backtesting:
The strategy is backtested using an initial capital of $10,000, with a commission of 0.1% per trade and slippage of 1 tick per bar—parameters chosen to reflect conditions faced by the average trader.
Important Disclaimers:
• No Look-Ahead Bias:
All breakout levels are calculated using only past data (excluding the current bar) to ensure that the strategy does not “peek” into future data.
• Educational Purpose:
This strategy is experimental and provided solely for educational purposes. Past performance is not indicative of future results.
• User Responsibility:
Traders should thoroughly backtest and paper trade the strategy under various market conditions and adjust parameters to fit their own risk tolerance and trading style before live deployment.
Conclusion:
By integrating volatility-based breakout signals with trend and momentum filters, the Volatility Momentum Breakout Strategy offers a unique method to capture significant price moves in a disciplined manner. This publication provides a transparent explanation of the strategy’s components and realistic backtesting parameters, making it a useful tool for educational purposes and further customization by the TradingView community.
Kalman FilterKalman Filter Indicator Description
This indicator applies a Kalman Filter to smooth the selected price series (default is the close) and help reveal the underlying trend by filtering out market noise. The filter is based on a recursive algorithm consisting of two main steps:
Prediction Step:
The filter predicts the next state using the last estimated value and increases the uncertainty (error covariance) by adding the process noise variance (Q). This step assumes that the price follows a random walk, where the last known estimate is the best guess for the next value.
Update Step:
The filter computes the Kalman Gain, which determines the weight given to the new measurement (price) versus the prediction. It then updates the state estimate by combining the prediction with the measurement error (using the measurement noise variance, R). The error covariance is also updated accordingly.
Key Features:
Customizable Input:
Source: Choose any price series (default is the closing price) for filtering.
Measurement Noise Variance (R): Controls the sensitivity to new measurements (default is 0.1). A higher R makes the filter less responsive.
Process Noise Variance (Q): Controls the assumed level of inherent price variability (default is 0.01). A higher Q allows the filter to adapt more quickly to changes.
Visual Trend Indication:
The filtered trend line is plotted directly on the chart:
When enabled, the line is colored green when trending upward and red when trending downward.
If color option is disabled, the line appears in blue.
This indicator is ideal for traders looking to smooth price data and identify trends more clearly by reducing the impact of short-term volatility.
