Inside Bar/Outside Bar/Mother Bar Box By SmartTrader888This Indicator shows:
1. Inside Bar
2. Outside Bar
3. Mother Bar box (Box the mother bar and all subsequent inside bars)
This indicator handles correctly the edge conditions such as:
1. bar close = bar open
2. current bar low equals to mother bar low or current bar high equals mother bar high
Analisis Tren
TDI + Simple Buy and SellTDI + Simple Buy and Sell Options
There's a few things you can see for yourself.
Just created this to play around with if you become profitable enjoy!
Monthly, Quarterly OPEX & Vix expirations
OPEX Indicator:
The OPEX indicator is designed to provide traders with a visual representation of key options expiration dates, particularly for monthly, quarterly, and VIX options expirations. This indicator can be particularly helpful for market participants who focus on options-based strategies or those who track the impact of options expiration on price action.
The indicator overlays vertical lines and labels on the chart to highlight three key types of expiration events:
Monthly Equity and Index Expiration (OPEX): This marks the standard monthly options expiration dates for equity and index options.
Quarterly Index Expiration (Q): This indicates the quarterly expiration dates for index options, which tend to have a larger impact on the market.
Monthly VIX Expiration (VIXEX): This marks the monthly expiration of VIX options and futures, which are important for volatility traders.
How to Use the OPEX Indicator:
Expiration Dates on the Chart: The OPEX indicator marks expiration dates with vertical lines and labels that appear on the chart. These are customizable, allowing you to adjust the line and label colors to suit your preferences. The lines and labels will appear at specific times, such as the closing of the market on expiration days, allowing traders to prepare for potential volatility or other market dynamics associated with these events.
Customizable Colors and Label Positions: The indicator offers flexibility in customizing the appearance of expiration lines and labels. For each expiration type (OPEX, Quarterly, and VIXEX), you can adjust the line color, label color, and label text color. Additionally, the label text size and position can be customized (e.g., above the bar, below the bar, top or bottom of the chart). This allows for a tailored display that suits your trading style and chart layout.
Visualizing Impact of Expiration Events: Traders who track the influence of expiration events can use this indicator to spot potential market moves around expiration dates. For example, significant price swings often occur near expiration days as options traders adjust their positions. With this indicator, you can visualize these dates on your chart and analyze market behavior in the lead-up to, during, and after the expirations.
Input Options:
Expiration Types:
Monthly Equity, Index Expiration (OPEX): Turn on or off the monthly equity expiration markers.
Quarterly Index Expiration (Q): Turn on or off the quarterly expiration markers.
Monthly VIX Expiration (VIXEX): Turn on or off the VIX expiration markers.
Line and Label Customization:
Line Color: Adjust the color of the vertical lines marking the expiration events.
Label Color: Customize the color of the expiration labels.
Label Text Color: Adjust the color of the text inside the labels.
Label Position: Choose the position of the labels (e.g., top, bottom, above bar, below bar).
Use Cases:
Options Traders: Track options expiration dates to assess potential price swings or liquidity changes.
Volatility Traders: Watch for patterns around VIX options expirations.
Index Traders: Monitor quarterly expirations for potential market-moving events.
Example Use:
As a trader, you can apply this indicator to your chart and observe how price action reacts near expiration dates. For instance, on the monthly OPEX expiration day, you might notice increased volatility or an uptick in options-related price moves. By observing this trend over time, you can align your trades to capitalize on predictable movements around key expiration days.
Additionally, you may use the quarterly expiration markers to assess whether there’s typically a market shift during these periods, providing insights for long-term traders.
This indicator can be a helpful tool for preparing and managing trades around critical options expiration dates, helping to forecast potential market behavior based on historical patterns.
TradingView Community Guidelines Compliance: This script complies with TradingView's community guidelines by offering a clear and valuable function for traders, providing customizable inputs for enhanced usability. The script is focused on chart visualizations without manipulating or misrepresenting market data. It serves as an educational tool and a functional indicator, with no claims or misleading functionality. The indicator does not promote financial products or services and focuses solely on charting for better trading decision-making.
Fear and Greed Index By EquityPath(DevHunainmq)Description:
🚀 **Fear and Greed Index Indicator for TradingView** 🚀
Unlock the power of **market sentiment analysis** with this sleek and futuristic Fear and Greed Index indicator! 🎯 Designed for traders who want to make data-driven decisions, this indicator visualizes the emotional state of the market directly on your charts. 🌟
🔴 **Fear Zones:** Spot undervalued opportunities as fear dominates the market.
🟠 **Neutral Zones:** Identify consolidation and prepare for breakout moves.
🟢 **Greed Zones:** Detect potential market euphoria and risk of overvaluation.
With gradient backgrounds, dynamic thresholds, and real-time labels, this tool is not just functional but visually stunning. Perfect for any trader looking to incorporate **sentiment analysis** into their strategy. 📈
**Features:**
✅ Easy-to-read Fear and Greed graph 📊
✅ Dynamic color-coded zones (Red for Fear, Green for Greed)
✅ Auto-updating sentiment labels 📍
✅ Designed for all market types (crypto, stocks, forex)
Take control of your trades by understanding **when to buy** and **when to sell** using this powerful indicator. 💡 Let the market sentiment guide your strategy!
---
### Hashtags:
#TradingView #Indicator #FearAndGreedIndex #MarketSentiment #CryptoTrading #ForexTrading #StockTrading #TechnicalAnalysis #TradingTools #FuturisticTrading #SentimentAnalysis #FearZones #GreedZones #TradingStrategy #TradeSmarter #MarketPsychology
Buy Signal Forex & Crypto v0 ImprovedPurpose of the Script:
This script is designed to generate buy and sell signals for trading Forex and cryptocurrencies by analyzing price trends using exponential moving averages (EMAs), volatility, and volume filters. The signals are displayed as arrows on the chart.
What the Script Does
Input Settings:
The script allows the user to configure various settings, such as the lengths of EMAs, a higher timeframe for trend confirmation, and thresholds for volume and volatility (ATR - Average True Range).
Key settings:
5 EMA Length – Length of the short-term EMA.
13 EMA Length – Length of the medium-term EMA.
26 EMA Length – Length of the long-term EMA.
21 EMA Length – Used for trend confirmation on a higher timeframe.
Higher Timeframe – Lets you select a timeframe (e.g., daily) for confirming the overall trend.
ATR Threshold – Filters out signals when the market's volatility is too low.
Volume Filter – Ensures sufficient trading activity before generating signals.
Calculating EMAs (Exponential Moving Averages):
Four EMAs are calculated:
ema5 (short-term), ema13 (medium-term), ema26 (long-term), and ema21 (higher timeframe confirmation).
These EMAs help determine price trends and crossovers, which are critical for identifying buy and sell opportunities.
Trend Confirmation Using a Higher Timeframe:
The 21 EMA on the higher timeframe (e.g., daily) is used to confirm the overall direction of the market.
Defining Signal Conditions:
Buy Signal:
A buy signal is generated when:
ema5 crosses above ema13 (indicating a bullish trend).
ema5 crosses above ema26 (stronger bullish confirmation).
The closing price is above ema5, ema13, ema26, and the 21 EMA on the higher timeframe.
The market's volatility (ATR) is above the defined threshold.
The volume meets the conditions or volume filtering is disabled.
Sell Signal:
A sell signal is generated when:
ema5 crosses below ema13 (indicating a bearish trend).
ema5 crosses below ema26 (stronger bearish confirmation).
The closing price is below ema5, ema13, ema26, and the 21 EMA on the higher timeframe.
The market's volatility (ATR) is above the defined threshold.
The volume meets the conditions or volume filtering is disabled.
Volume Filtering:
Ensures there’s enough trading activity by comparing the current volume to a 20-period moving average of volume.
Persistent Variables:
These variables (crossed13 and crossed13Sell) help track whether the short-term EMA (ema5) has crossed the medium-term EMA (ema13). This prevents false or repeated signals.
Displaying Signals on the Chart:
Buy signals are displayed as green upward arrows below the price.
Sell signals are displayed as red downward arrows above the price.
How It Helps Traders:
This script provides visual cues for potential entry and exit points by combining moving average crossovers, volatility, volume, and higher timeframe trend confirmation. It works well for trending markets and ensures signals are filtered for stronger conditions to reduce noise.
Cyber.M2 Global Liquidity IndexThank for Mik3Christ3ns3n with M2 global supply money indicator.
We can look at it in terms of 52 weeks - 1 year, 6 months, 3 years. These are important time frames to track the supply of money in the world.
Feature :
1: Pure index view Gold is a sensitive product priced correctly by supply and demand.
2: You can view it as an index with optional periods of 1 year, 6 months, 3 years.
Please follow the steps below
2.1 : Check up down line in settings to show level 90 and 10
2.2 : Check in turn to see the correlation
3-year correlation between M2 money supply and gold
ADX, RSI, & TSI utilized as ARTI [by KeremErtem]The ARTI indicator, designed by Kerem Ertem, merges the power of three technical analysis tools: the Average Directional Index (ADX), the Relative Strength Index (RSI), and the True Strength Index (TSI). By combining these indicators, ARTI provides a comprehensive view of market momentum, trend strength, and potential reversals. This unique approach aims to offer a more robust and reliable signal for traders to make informed decisions.
How It Works:
Source Input: The primary data source is hlc3 (High, Low, Close average), but you can customize it as needed.
Smoothing: The smoothing parameter (l0) helps in reducing noise for clearer signals.
Signal Period & Lookback Range: These parameters (l1 and l2) define the period for signal calculation and the range for historical data analysis.
Indicator Components:
ACI Function:
The ACI function calculates an adjusted price angle, providing a unique perspective on price movements.
It uses lowest and highest prices within a lookback range to calculate an average (sf0), deviation (sf1), and the angle (sf3).
Relative Strength Index (RSI):
RSI is calculated over a specified length (goguz) and smoothed using the ACI function to provide a refined measure of price momentum.
Average Directional Index (ADX):
ADX, along with its positive (dip) and negative (dim) directional movement indicators, measures trend strength.
It is smoothed with the ACI function to enhance its reliability.
ARTI Indicator Calculation:
The ARTI indicator combines the smoothed RSI and ADX values.
It applies the True Strength Index (TSI) to the average of these smoothed values to generate the ARTI signal.
The signal is further refined with weighted average (ALMA) and standard deviation calculations to define upper, lower, and center bands.
Usage:
ART Signal Line: Plotted with color changes indicating bullish (#00ffbb) or bearish (#ff1100) trends based on directional changes.
Upper and Lower Bands: Define potential price reversal zones, providing visual cues for overbought or oversold conditions.
Center Line: Represents the average price level, helping traders understand the general price trend.
By combining these multiple technical indicators, the ARTI script provides a multifaceted view of the market, helping traders identify potential entry and exit points with greater accuracy. Use this script to enhance your trading strategies by understanding the underlying trends, momentum, and potential reversals in the market.
Feel free to experiment with different parameter settings to tailor the indicator to your specific trading style and preferences. Happy trading! 📈
Latest Close Calculator1. Calculates the previousHigh of the previous candle.
2. Calculates the latestClose using the given formula.
3. Plots the price candle.
4. Checks if the current candle's close is greater than the latestClose.
5. If true, adds a green label and box to mark the breakout candle.
Doji Double Top & Double Bottom
FUNCTION :
This indicator checks if 2 consecutive candlesticks are formed in such a way that both the lows or both the highs of the consecutive candlesticks are almost at the same level and either of them is a doji
TIMEFRAMES :
it works on daily, weekly, monthly and higher timeframes
CRITERIA :
There is maximum difference value between 2 consecutive candlesticks' lows or 2 consecutive candlesticks' highs
Minimum value of the doji's wick size
Maximum value of the doji's body size
These 3 conditions need to be fulfilled for the 2 consecutive candlesticks to be considered as a Double top or Double bottom by this indicator
EXAMPLES :
Here the indicator is giving only double Bottom signals on CRUDE OIL chart
Here the indicator is giving only double top signals on GOLD chart
Here the indicator gives both double top & double bottom signals on EUR/USD Daily chart
Here the indicator is giving both double top & double bottom signals on EUR/USD Half-Yearly chart
DEFINITIONS :
There are 2 types -
DOJI DOUBLE BOTTOM - if the lows of 2 consecutive candlesticks are almost at the same level & either of them is doji then it is called Double Bottom and market is supposed to go higher after forming it.
DOJI DOUBLE TOP - if the highs of 2 consecutive candlesticks are almost at the same level & either of them is doji then it is called Double Top and market is supposed to go lower after forming it.
SETTINGS :
There are options to change the value of each of the 3 parameters within the indicator's settings for daily, weekly & monthly chart [
LIMITATIONS :
You should not trade based on the signals from this indicator solely, you should check other parameters too before making trading decision
BK Multiple MA, RMA, SMA, HMA, VWAP, Rolling VWAP **Indicator Description**
I’m incredibly proud to introduce my third indicator to the TradingView community: **BK Multiple MA with HMA, VWAP, and Rolling VWAP**! This tool has been a game-changer in my trading strategy, and I’m excited to share it with others who are navigating the markets.
This indicator holds a special place in my heart because it represents the first technical analysis concept introduced to me by my mentor when I began apprenticing under him. His wisdom, guidance, and passion for trading—and for life—left an indelible mark on my journey. I dedicate this work, and every indicator I introduce, to the foundation he helped me build, while giving glory first and foremost to God.
**Moving Averages (MAs)** are one of the most widely used tools in technical analysis, and this indicator takes them to the next level. It allows you to plot **six fully customizable moving averages simultaneously**, with options including:
- **Exponential Moving Average (EMA)**
- **Simple Moving Average (SMA)**
- **Relative Moving Average (RMA)**
- **Hull Moving Average (HMA)**
- **Volume Weighted Average Price (VWAP)**
- **Rolling VWAP**
This flexibility makes the indicator highly versatile, whether you’re a day trader, swing trader, or long-term investor. By customizing periods, colors, and line widths for each MA, you can tailor the indicator to perfectly suit your trading style.
**Key Features**
1. **Six Fully Customizable MAs**:
- Adjust periods, line colors, and widths to match your preferences.
- Select from EMA, SMA, RMA, HMA, VWAP, or Rolling VWAP for each line.
2. **Unique Rolling VWAP Option**:
- Rolling VWAP calculates the volume-weighted average price over a user-defined period, such as 200 candles.
- This feature is ideal for traders seeking volume-weighted levels that don’t reset with each session, making it invaluable for trend-following and swing trading.
3. **HMA for Smoother Trends**:
- The Hull Moving Average (HMA) is designed to reduce lag and provide a responsive, noise-free view of price trends.
- It’s a powerful tool for spotting reversals and confirming directional momentum.
4. **Session VWAP**:
- Traditional VWAP resets with each trading session, making it a reliable benchmark for intraday support and resistance levels.
**How It Works**
- **VWAP**: Reflects the average price weighted by volume for the current trading session, commonly used by institutional traders to identify key price levels.
- **Rolling VWAP**: Extends VWAP functionality by calculating over a user-defined period, allowing for flexible multi-timeframe analysis.
- **HMA**: A fast, smooth moving average that reacts quickly to price changes while filtering out noise.
The combination of these options provides traders with a comprehensive view of market dynamics, enabling better decision-making.
**Final Thoughts**
This indicator is deeply meaningful to me because it represents the first concept my mentor introduced when I began apprenticing under him. His wisdom, guidance, and passion for trading—and for life—left an indelible mark on my journey. I dedicate this work, and every indicator I introduce, to the foundation he helped me build, while giving glory first and foremost to God.
If this indicator helps you succeed, I humbly ask that you honor the blessings in your life by giving back—whether through acts of kindness, philanthropy, or helping others in need.
May the Almighty guide us all toward wisdom and success in our endeavors. All glory belongs to God!
CR.DI-X - Momentum based Trend Indicator for Heikin-Ashi ChartsMomentum-Based Trend Indicator for Heiken-Ashi Charts
The CR.DI-X - Momentum-Based Trend Indicator is designed to identify and confirm trend reversals and movements with remarkable precision, especially when applied to Heiken-Ashi candles. By leveraging the crossover of DI+ and DI-, this indicator provides highly responsive buy and sell signals, ensuring traders can capitalize on trends early and exit positions effectively during reversals.
What makes this tool exceptionally powerful is its speed and reliability. It detects trend shifts and reversals at an extremely early stage, giving users a significant edge in volatile markets. When paired with the CR.Vosc - Volume-Based Trend Reversal Indicator, traders gain not only insights into potential trend reversals but also a clear understanding of the strength and magnitude of movements. This combination allows for early anticipation of market moves, empowering traders to ride trends with confidence and precision.
Whether you’re seeking to identify entry and exit points, capture full trend cycles, or assess the strength of movements, the CR.DI-X Indicator delivers accurate and actionable insights to optimize your trading strategy.
XAUUSD TDFI & EMA TREND STRATEGYThe Trend Direction Force Index v2 (TDFI) strategy is a powerful tool designed to identify trend direction and momentum shifts in the market. This strategy leverages the TDFI indicator to signal entries and exits based on trend strength and directional force. Key features include:
Customizable Moving Averages: Users can select from various moving average types (EMA, WMA, VWMA, Hull, TEMA, etc.) for precise trend analysis.
Dynamic EMA Filters: The strategy integrates an EMA filter, allowing users to choose between 20, 50, or 100-period EMA for refined entry and exit signals.
Clear Entry and Exit Logic:
Enter long when the TDFI signal exceeds the high threshold, and the price stays above the selected EMA.
Exit long when the price closes below the selected EMA.
Enter short when the TDFI signal drops below the low threshold, and the price remains under the selected EMA.
Exit short when the price closes above the selected EMA.
Use Case:
This strategy is ideal for trend-following traders seeking automated decision-making in identifying strong uptrends or downtrends. It combines momentum strength with customizable filters to adapt to different market conditions.
Settings:
Lookback Periods: Configurable for TDFI calculation and dynamic adjustment.
Filter Thresholds: High and low thresholds to define overbought/oversold zones.
Moving Average Types: Choose the preferred smoothing method for the trend.
Note: The TDFI line is not plotted, as the focus is on entry/exit actions driven by the signal. Fine-tune the parameters to align with your trading strategy.
RShar Seasonal RSISeasonal RSI
This indicator, Seasonal RSI, is designed to enhance trading decisions by combining the **Relative Strength Index (RSI)** with insights derived from historical **seasonality patterns**. It not only calculates RSI but also overlays seasonality data for the current week of the year, providing traders with a more contextualized view of market conditions.
---
### **Key Features**
#### 1. **Relative Strength Index (RSI) Calculation**
- The script calculates the RSI for a user-defined period (`RSI Length`), which is an oscillator used to measure the speed and magnitude of price changes.
- RSI values are plotted on the chart, helping traders identify **overbought** and **oversold** conditions.
- Thresholds for **Overbought** and **Oversold** levels are customizable, with default values of 70 and 30, respectively.
---
#### 2. **Dynamic RSI Coloring Based on Seasonality**
- The color of the RSI line dynamically adjusts based on historical **win rates** for the current week of the year:
- **Bright Green** for win rates > 65%.
- **Green** for win rates between 50-65%.
- **Red** for win rates between 35-50%.
- **Dark Red** for win rates < 35%.
- This feature gives traders a quick visual cue about whether the historical performance of the current week tends to be bullish, neutral, or bearish.
---
#### 3. **Overbought and Oversold Level Visualization**
- Overbought and oversold levels are displayed as dotted horizontal lines on the RSI chart.
- These levels act as visual guides for potential price reversals:
- **Overbought (default 70)**: Indicates potential selling pressure.
- **Oversold (default 30)**: Indicates potential buying pressure.
---
#### 4. **Seasonality Data Integration**
- Historical **seasonality data** is used to analyze price performance patterns for each week of the year:
- **Win Rate**: The percentage of years in which prices closed higher during the current week.
- **Average Weekly Change**: The average price percentage change during the current week over historical data.
- This data provides additional context to RSI readings, helping traders align their strategies with seasonal tendencies.
---
#### 5. **Information Table Overlay**
- A table is displayed in the **top-right corner** of the chart, summarizing seasonality data for the current week:
- **Week Win Rate**: Displays the percentage of historical years where prices rose during this week.
- **Avg Weekly Change**: Shows the average percentage price change for the current week. Positive values are displayed in green, and negative values are shown in red.
- This overlay provides actionable insights without cluttering the chart.
---
### **How It Works**
1. **Seasonality Data**:
- A function (`getSeasonalityForWeek`) fetches or uses predefined mock seasonality data for each week of the year.
- For each week, it calculates:
- The **Win Rate** (percentage of years with positive performance).
- The **Mean Change** (average price percentage change).
2. **RSI Plot**:
- The RSI line is plotted on the chart.
- The line's color is determined by the win rate for the current week, providing a visual representation of historical performance trends.
3. **Threshold Visualization**:
- Horizontal lines for overbought and oversold levels are drawn to assist in identifying potential reversal points.
4. **Information Table**:
- The table summarizes the current week's seasonality data for quick reference, helping traders make data-driven decisions.
---
### **Use Cases**
- **Short-Term Traders**:
Use the dynamic RSI colors and seasonality table to align short-term trades with historical patterns of weekly performance.
- **Swing Traders**:
Identify whether a stock or market is in an overbought/oversold condition while considering the seasonal tendency for the week.
- **Contextual Decision-Making**:
Combine traditional RSI signals with historical data to reduce false signals and improve timing.
---
### **Limitations**
- The script uses **mock seasonality data** in its default state. To make it fully functional, replace the mock data with actual historical performance metrics for your specific ticker or market.
- The indicator does not fetch real-time external data due to Pine Script’s limitations, so all seasonality data must be manually updated or hardcoded.
---
This indicator provides a powerful way to combine technical analysis with historical trends, offering a unique edge to traders by adding seasonal context to RSI signals.
God Strategy 2.0About "God Strategy 2.0"
The God Strategy 2.0 is a cutting-edge trading algorithm meticulously designed for professional traders and analysts seeking an unparalleled edge in the financial markets. This strategy integrates advanced technical indicators, AI-powered sentiment analysis, and multi-layered logic to ensure precision in decision-making. Here's why it stands out:
Key Features:
Sophisticated Indicator Suite:
EMA Crossovers (21, 50, 200): Provides dynamic trend analysis and market direction.
MACD and RSI: Offer momentum and relative strength insights.
Stochastic RSI: Pinpoints overbought and oversold levels with increased accuracy.
VWAP and OBV: Combines volume dynamics with price action for reliable signals.
AI-Enhanced Sentiment Analysis:
Leverages a customizable AI sentiment score to adjust buy/sell conditions based on market sentiment.
Empowers traders with a hybrid approach, blending human intuition with AI insights.
Multi-Timeframe Flexibility:
Optimized for various timeframes to adapt to scalping, day trading, or swing trading strategies.
Debugging and Transparency:
Clear labels on the chart to indicate when buy/sell conditions are met, ensuring full transparency.
Performance-Oriented:
Designed for maximum efficiency, enabling traders to achieve consistent profitability while minimizing risks.
Who is it for?
This strategy is ideal for:
Advanced Traders: Looking to refine their edge in the markets.
Institutions and Funds: Seeking an automated solution for systematic trading.
Tech-Savvy Enthusiasts: Interested in leveraging AI and data-driven insights.
We are proud to deliver a professional-grade solution that not only meets but exceeds the expectations of modern-day traders. God Strategy 2.0 is a testament to our expertise in algorithmic trading and our commitment to innovation.
If you're looking for precision, adaptability, and power, this is the strategy for you! 🚀
Let me know if you'd like additional refinements or if you need assistance deploying this strategy!
EMA CROSSOVER SIGNALSThe EMA CROSSOVERS indicator helps identify trend changes using fast and slow EMA crossovers.
Fast EMA (default: 10) and Slow EMA (default: 35) are plotted.
Green and red shading highlights bullish and bearish trends.
Buy (B) and Sell (S) signals are shown at crossover points.
Bars are colored green (bullish) or red (bearish) based on EMA alignment.
Perfect for spotting trends and entry/exit points. Simple, clear, and effective!
My. EMA Cross 9/21 + Trend (BUY/SELL Signal)My. Buy/Sell Indicator
My. EMA Cross 9/21 + Trend (BUY/SELL Signal)
ADR [JIMMY TRADES]Average Daily Range Indicator: This Pine Script indicator calculates and displays the Average Daily Range (ADR) for a specified lookback period. It uses daily high and low prices to compute the ADR, which is then shown in a table on the chart. Designed specifically for futures assets such as NQ, ES, CL and GC
MACD and EMA Background Logic v2Explanation of the Script:
MACD Calculation:
MACD is calculated using ta.macd for the user-defined timeframe (macdTimeframe).
EMA Calculation:
EMA is calculated using ta.ema for the user-defined timeframe (emaTimeframe).
Background Coloring:
Green: When macd > 0 and close > emaValue.
Red: When macd < 0 and close < emaValue.
Black: If only one condition is true.
EMA5/20/44/288It Has Multiple EMA's
5 EMA
20 EMA
44 EMA
288 EMA
The 5EMA Tells You About The Short-Term Trend Change.
The 20 EMA Tells You About Little Big Trend Change.
44 EMA Tells You About The Big Time Frame Trend Change
288 EMA Tells You About Very Big Trend Reversal And Support
Robinhood Crypto Combined Volume Tracker
This indicator provides a comprehensive visualization of the combined trading volume for all cryptocurrency pairs available on Robinhood, tailored to the selected region (USA or Europe). The chart dynamically updates based on your selected region, providing actionable insights into market activity.
Features:
Dynamic Region Selection: Toggle between USA and Europe to display the relevant trading pairs for your region.
Combined Volume Visualization: Aggregates and plots the total trading volume for all selected cryptocurrency pairs.
Dynamic Background: Background color changes based on the selected region for visual clarity.
Real-Time Debug Label: Displays the selected region and current total combined volume on the latest bar.
Color-Coded Chart: Distinct plot colors for USA (blue) and Europe (green) to easily identify the region.
Use Cases:
Market Trends: Monitor total crypto market activity to gauge investor interest and trading momentum in different regions.
Region-Specific Analysis: Compare trading behavior between USA and Europe by switching regions.
Volume Comparisons: Assess market strength by observing changes in combined volume over time.
How to Use:
Select your desired region (USA/Europe) using the "Select Region" dropdown.
View the combined trading volume plot on the chart.
Use the background color and chart plot for quick identification of region-specific data.
Notes:
The combined volume calculation is based on the daily timeframe (D) and updates dynamically.
Ensure the selected region matches your area of interest to get accurate insights.
This indicator is ideal for traders looking to analyze and compare crypto trading activity across regions in a consolidated view.
Rosiz Support 1### Description of the Custom Indicator: MACD + CMF + MOM
This custom indicator combines three powerful technical analysis tools: **MACD (Moving Average Convergence Divergence)**, **CMF (Chaikin Money Flow)**, and **MOM (Momentum)**, to provide a comprehensive view of market trends, momentum, and money flow in a single pane. Here's what each component offers:
---
#### 1. **MACD (Moving Average Convergence Divergence)**
The **MACD** is a trend-following momentum indicator that shows the relationship between two moving averages of an asset’s price.
- **Purpose**: Identifies trend direction and momentum strength.
- **Key Components**:
- **MACD Line**: Difference between the fast and slow exponential moving averages (EMA).
- **Signal Line**: A smoothed moving average of the MACD line, acting as a trigger for buy/sell signals.
- **Histogram**: The difference between the MACD line and the signal line. Positive values indicate bullish momentum, while negative values indicate bearish momentum.
- **Usage**: Look for crossovers (MACD crossing the signal line) to identify potential trend changes.
---
#### 2. **CMF (Chaikin Money Flow)**
The **CMF** measures the volume-weighted average of accumulation and distribution over a specific period. It shows whether money is flowing into or out of an asset.
- **Purpose**: Detects buying or selling pressure based on price and volume.
- **Key Components**:
- **Positive CMF**: Indicates that the asset is being accumulated (buying pressure).
- **Negative CMF**: Indicates that the asset is being distributed (selling pressure).
- **Usage**: Values above 0 suggest bullish strength, while values below 0 suggest bearish strength.
---
#### 3. **MOM (Momentum)**
The **Momentum Indicator** measures the rate of change of an asset's price over a specified period. It helps traders identify the speed of price movements.
- **Purpose**: Highlights the strength and direction of price momentum.
- **Key Components**:
- **Momentum Line**: Positive values indicate upward momentum, while negative values indicate downward momentum.
- **Usage**: A rising momentum line suggests strengthening price trends, while a falling line indicates weakening trends.
---
### Benefits of Combining These Indicators:
1. **Trend Confirmation**: MACD provides a clear picture of trend direction and potential reversals.
2. **Volume-Based Insights**: CMF adds a layer of confirmation by analyzing money flow based on price and volume.
3. **Momentum Analysis**: MOM reveals the speed and strength of price movements, helping traders confirm breakouts or trend exhaustion.
4. **Enhanced Decision-Making**: The combination of these indicators allows traders to make more informed decisions by evaluating different aspects of market behavior in one pane.
---
### How to Use:
- **Identify Trends**: Use MACD to identify overall trend direction and reversals.
- **Confirm Momentum**: Check MOM to validate the strength of the trend.
- **Gauge Buying/Selling Pressure**: Refer to CMF to confirm whether the price movement is backed by accumulation or distribution.
- **Entry/Exit Points**: Look for MACD crossovers, CMF shifts above/below zero, and momentum changes to refine entry and exit strategies.
This powerful tool integrates the strengths of three indicators, making it ideal for traders looking to analyze market conditions holistically and improve their timing and accuracy.
Punk_indicator//@version=5
indicator("Support and Resistance Levels Table with Trend", overlay=true)
// Function to find significant support and resistance levels based on swings
getSwingSupport(src, length) =>
var float swingSupport = na
if bar_index > length
swingSupport := ta.lowest(src, length) // Calculate the lowest swing price over the lookback period
swingSupport
getSwingResistance(src, length) =>
var float swingResistance = na
if bar_index > length
swingResistance := ta.highest(src, length) // Calculate the highest swing price over the lookback period
swingResistance
// Input options for lookback periods
lookbackHours = input(24, title="Hourly Lookback Period")
lookbackDays = input(30, title="Daily Lookback Period")
lookbackWeeks = input(52, title="Weekly Lookback Period")
lookbackMonths = input(12, title="Monthly Lookback Period")
// Fetch swing support and resistance levels for different timeframes
hourlySwingSupport = request.security(syminfo.tickerid, "60", getSwingSupport(low, lookbackHours))
dailySwingSupport = request.security(syminfo.tickerid, "D", getSwingSupport(low, lookbackDays))
weeklySwingSupport = request.security(syminfo.tickerid, "W", getSwingSupport(low, lookbackWeeks))
monthlySwingSupport = request.security(syminfo.tickerid, "M", getSwingSupport(low, lookbackMonths))
hourlySwingResistance = request.security(syminfo.tickerid, "60", getSwingResistance(high, lookbackHours))
dailySwingResistance = request.security(syminfo.tickerid, "D", getSwingResistance(high, lookbackDays))
weeklySwingResistance = request.security(syminfo.tickerid, "W", getSwingResistance(high, lookbackWeeks))
monthlySwingResistance = request.security(syminfo.tickerid, "M", getSwingResistance(high, lookbackMonths))
// Trend identification using SMA
smaLength = input(50, title="SMA Length")
hourlyTrend = request.security(syminfo.tickerid, "60", close > ta.sma(close, smaLength) ? "Up" : "Down")
dailyTrend = request.security(syminfo.tickerid, "D", close > ta.sma(close, smaLength) ? "Up" : "Down")
weeklyTrend = request.security(syminfo.tickerid, "W", close > ta.sma(close, smaLength) ? "Up" : "Down")
monthlyTrend = request.security(syminfo.tickerid, "M", close > ta.sma(close, smaLength) ? "Up" : "Down")
// Create a table to show the support and resistance levels along with the trend
var table levelsTable = table.new(position.top_right, 4, 5, bgcolor=color.new(color.white, 0)) // Set to 4 columns...
// Populate the header of the table
if bar_index == 0
table.cell(levelsTable, 0, 0, "Timeframe", bgcolor=color.new(color.gray, 0))
table.cell(levelsTable, 1, 0, "Support Level", bgcolor=color.new(color.gray, 0))
table.cell(levelsTable, 2, 0, "Resistance Level", bgcolor=color.new(color.gray, 0))
table.cell(levelsTable, 3, 0, "Trend", bgcolor=color.new(color.gray, 0)) // Adding Trend column here
// Add rows for each level with colors
table.cell(levelsTable, 0, 1, "Hourly", bgcolor=color.new(color.green, 90))
table.cell(levelsTable, 0, 2, "Daily", bgcolor=color.new(color.blue, 90))
table.cell(levelsTable, 0, 3, "Weekly", bgcolor=color.new(color.orange, 90))
table.cell(levelsTable, 0, 4, "Monthly", bgcolor=color.new(color.red, 90))
// Update table with the current levels and trends
if not na(hourlySwingSupport)
table.cell(levelsTable, 1, 1, str.tostring(hourlySwingSupport), bgcolor=color.new(color.green, 90))
table.cell(levelsTable, 3, 1, hourlyTrend, bgcolor=color.new(color.green, 90)) // Trend for Hourly
line.new(bar_index , hourlySwingSupport, bar_index, hourlySwingSupport, color=color.green, width=1)
if not na(hourlySwingResistance)
table.cell(levelsTable, 2, 1, str.tostring(hourlySwingResistance), bgcolor=color.new(color.green, 90))
line.new(bar_index , hourlySwingResistance, bar_index, hourlySwingResistance, color=color.green, width=1)
if not na(dailySwingSupport)
table.cell(levelsTable, 1, 2, str.tostring(dailySwingSupport), bgcolor=color.new(color.blue, 90))
table.cell(levelsTable, 3, 2, dailyTrend, bgcolor=color.new(color.blue, 90)) // Trend for Daily
line.new(bar_index , dailySwingSupport, bar_index, dailySwingSupport, color=color.blue, width=1)
if not na(dailySwingResistance)
table.cell(levelsTable, 2, 2, str.tostring(dailySwingResistance), bgcolor=color.new(color.blue, 90))
line.new(bar_index , dailySwingResistance, bar_index, dailySwingResistance, color=color.blue, width=1)
if not na(weeklySwingSupport)
table.cell(levelsTable, 1, 3, str.tostring(weeklySwingSupport), bgcolor=color.new(color.orange, 90))
table.cell(levelsTable, 3, 3, weeklyTrend, bgcolor=color.new(color.orange, 90)) // Trend for Weekly
line.new(bar_index , weeklySwingSupport, bar_index, weeklySwingSupport, color=color.orange, width=1)
if not na(weeklySwingResistance)
table.cell(levelsTable, 2, 3, str.tostring(weeklySwingResistance), bgcolor=color.new(color.orange, 90))
line.new(bar_index , weeklySwingResistance, bar_index, weeklySwingResistance, color=color.orange, width=1)
if not na(monthlySwingSupport)
table.cell(levelsTable, 1, 4, str.tostring(monthlySwingSupport), bgcolor=color.new(color.red, 90))
table.cell(levelsTable, 3, 4, monthlyTrend, bgcolor=color.new(color.red, 90)) // Trend for Monthly
line.new(bar_index , monthlySwingSupport, bar_index, monthlySwingSupport, color=color.red, width=1)
if not na(monthlySwingResistance)
table.cell(levelsTable, 2, 4, str.tostring(monthlySwingResistance), bgcolor=color.new(color.red, 90))
line.new(bar_index , monthlySwingResistance, bar_index, monthlySwingResistance, color=color.red, width=1)
// Draw labels on the lines
if not na(hourlySwingSupport)
label.new(bar_index, hourlySwingSupport, "H", color=color.new(color.green, 0), style=label.style_label_down, textcolor=color.white)
if not na(weeklySwingSupport)
label.new(bar_index, weeklySwingSupport, "W", color=color.new(color.orange, 0), style=label.style_label_down, textcolor=color.white)
if not na(monthlySwingSupport)
label.new(bar_index, monthlySwingSupport, "M", color=color.new(color.red, 0), style=label.style_label_down, textcolor=color.white)
Moving Average Convergence Divergence with RSIThis TradingView Pine Script combines the Moving Average Convergence Divergence (MACD) indicator with the Relative Strength Index (RSI) to provide a comprehensive analysis of market trends and momentum. The script calculates the MACD using customizable fast and slow lengths, allowing users to select either Simple Moving Averages (SMA) or Exponential Moving Averages (EMA) for both the oscillator and signal line. It plots the MACD line, signal line, and histogram with adjustable alert conditions for trend changes. Additionally, the script computes the RSI value to complement the MACD analysis, helping traders gauge overbought or oversold conditions.
To enhance user experience, the script features a visually intuitive design with customizable background colors for the histogram, indicating positive and negative trends with green and red shades, respectively. A data table is also included, showing the status of the MACD histogram and RSI values for quick reference. This dual-indicator setup is tailored for traders looking to combine momentum and trend-following strategies into a single, versatile tool.
