Investify360 ICT IndicatorThe Investify360 ICT Indicator is designed to follow the ICT (Inner Circle Trader) strategy. It provides essential buy and sell signals based on price movements relative to a simple moving average (SMA). The indicator is built to be beginner-friendly with clear labels and color-coded signals.
Key Features
Simple Moving Average (SMA):
The script calculates a simple moving average based on a user-defined period (length), defaulting to 14 periods. This moving average helps smooth out price data and identify trends.
Buy and Sell Signals:
Buy Signal: A buy signal is generated when the current price (src, defaulting to the close price) crosses above the SMA. This event is typically interpreted as a potential upward trend.
Sell Signal: A sell signal is generated when the current price crosses below the SMA. This event is often interpreted as a potential downward trend.
These signals are visually represented on the chart with up and down labels respectively.
Labels and Colors:
Buy Signal: Displayed with an up label (BUY) in green color.
Sell Signal: Displayed with a down label (SELL) in red color.
The colors for these signals can be customized through the script inputs (buyColor and sellColor).
Beginner-Friendly Labels:
To assist beginners, the script includes a label at the start of the chart indicating the position of the moving average line (MA Line). This label is shown on the first bar to clarify the purpose of the plotted line.
Plotting the Moving Average:
The SMA is plotted on the chart with a yellow line, making it easily distinguishable. The moving average line helps traders visualize the trend direction.
المتوسطات المتحركة
Quaterly Earnings,Sectors/Industry,Moving AveragesDescription:
The EPS & Revenue indicator is designed to provide detailed financial insights into a company's performance by displaying key financial metrics such as Earnings Per Share (EPS), Total Revenue, Free Float, Operating Income, and Return on Equity (ROE). The indicator also calculates and visualizes the percentage changes in these metrics over different quarters, offering a comprehensive view of the company's financial health.
Features:
Table Display:
A customizable table that can be positioned in various locations on the chart (e.g., top left, top center, bottom right, etc.).
Color-coded cells to indicate positive and negative changes in financial metrics.
Dynamic text size and color for better readability.
Financial Metrics:
EPS (Earnings Per Share): Displays the EPS values for the current and previous quarters.
Total Revenue: Shows revenue values in crores (Cr) for multiple quarters.
Free Float: Represents the number of freely floating shares.
Operating Income (OP): Indicates the operating income for the company.
Return on Equity (ROE): Displays the ROE values for multiple quarters.
Calculations:
EPS Year-over-Year (YoY) Change: Calculates the YoY percentage change in EPS.
Quarter-over-Quarter (QoQ) Change: Computes the percentage change in EPS and sales for different quarters.
Sales in Crores: Displays sales values in crores (Cr) and calculates the QoQ changes.
Operating Profit Margin (OPM): Calculates the operating profit margin as a percentage of sales.
52-Week High/Low: Shows the highest and lowest prices over the past 52 weeks.
Average Daily Range (ADR): Computes the average daily range percentage.
Turnover: Displays the average turnover period and current turnover values.
Relative Volume (Rvol): Indicates the relative trading volume compared to the average.
Color Coding:
Uses different colors to highlight significant changes in metrics (e.g., dark green for strong positive changes, light green for moderate positive changes, red for negative changes).
Adjustable transparency based on the magnitude of the change.
Customization:
User inputs for table position, color settings, and calculation periods for turnover and relative volume.
Text labels for various columns and rows in the table to enhance clarity.
How to Use:
Add the EPS & Revenue indicator to your TradingView chart.
Customize the table position and color settings as per your preference.
Analyze the displayed financial metrics and percentage changes to gain insights into the company's performance.
Use the color-coded cells to quickly identify significant changes and trends in EPS, revenue, operating income, and other key metrics.
Example Output:
The table will display current and past EPS values, percentage changes in EPS and sales, operating profit margins, ROE values, turnover, relative volume, and the percentage up from 52-week low and down from 52-week high.
The data will be color-coded to indicate positive and negative changes, making it easier to interpret the company's financial performance at a glance.
This indicator is ideal for investors and traders who want to keep a close eye on a company's financial health and make informed decisions based on detailed financial data.
Periodic Moving AveragesIndicator plots three simple moving averages (MA) that are reset at the beginning of period, specified by a user.
Red MA is based on highs
Blue MA is based on close
Green MA one is based on lows.
Moving averages often act as support /resistance levels. They can also help to identify intraday trend. It is important to realize that none of the moving averages is universal as price behavior changes from day to day. On the chart I’ve highlighted several occurrences when one of MAs (different ones) provided support for price.
Parameters:
PERIOD – period for which MAs are plotted. They are reset at the beginning of each period. Period cannot be lower than chart’s timeframe
LENGTH – length of moving averages. If set to 0 then parameter is ignored and MAs are calculated on all bars, available in the period
VWAP? – if checked then moving averages will be calculated as volume weighted price
Disclaimer
This indicator should not be used as a standalone tool to make trading decisions but only in conjunction with other technical analysis methods.
Moving Average Momentum SignalsBest for trade execution in lower timeframe (1m,5m,15m) with momentum confirmation in higher timeframes (2h,4h,1d)
This indicator relies on three key conditions to determine buy and sell signals: the price's deviation from a short-term moving average, the change in the moving average over time (past 10 candles), and the price's deviation from a historical price (40 candles). The strategy aims to target moments where the asset's price is likely to experience a reversal or momentum shift.
Conditions
Price deviation from short-term Moving Average (MA): Current candle close minus the 10-period MA (price action past 10 candles)
Change in Moving Average over time: Current 10-period MA minus the 10-period MA from 10 candles ago (price action past 20 candles)
Price deviation from historical price: Current close minus the close from 40 candles ago (price action past 40 candles)
Signal Generation Logic
Buy Signal: Triggered when all three conditions are positive. Confirmed if the previous signal was a sell or if there were no previous signals
Sell Signal: Triggered when all three conditions are negative. Confirmed if the previous signal was a buy or if there were no previous signals
Usage and Strategy
After back testing, I observed the higher timeframes were a good indication of momentum/sentiment that you can take note of while trading intraday on the lower time frames (time intervals stated above). Background highlights are also displayed for easier visualization of bullish/bearish skew in terms of the volume of signals generated.
Entry Fragger - Strategy
For basic instructions please visit my other script "Entry Fragger".
The Signal Logic is explained there.
v1.4:
- Added advanced backtesting with fully customizable entries.
- Fully automated Buy Signals (profitable).
- Adjustable timeframes for signal logic. (requested)
Every setting affects the accuracy and profitability greatly now, based on settings applied.
The strategy performs best on high timeframes with larger capital and no leverage.
Useless for Forex, but absolutely smashes stocks and crypto on mid to high timeframes.
Please read through my other scripts description.
Set values as preferred and try your assets.
It does NOT work on low timeframes and forex!
Hint: BTC 4H, Custom Timeframe 1h, Moon Mode and Show Sell Signals enabled, R2R: 2.
Weighted Moving Range with Trend Signals (WMR-TS)Weighted Moving Range with Trend Signals (WMR-TS)
Technical analysis involves analyzing statistical trends from trading activity , such as price movement and volume, to make trading decisions. Technical indicators are mathematical calculations based on the price, volume, or open interest of a security or contract. They are used by traders to analyze price movements and predict future market behavior. The WMR-TS indicator combines weighted moving averages and range calculations to identify key trading levels and generate buy/sell signals. It dynamically adjusts to market conditions, offering traders insights into potential support, resistance, and trend reversal points. Key levels are color-coded for quick interpretation. It utilizes weighted moving averages (WMA) and range calculations to determine these levels, making it a robust tool for both trending and ranging markets.
SUMMARY
Parameters :
WMA Length : Determines the length for the primary weighted moving average.
Highest High Length : Sets the period for calculating the highest high.
Lowest Low Length : Sets the period for calculating the lowest low.
Range Corrector : Adjusts the range calculation slightly for fine-tuning.
Top Level : Multiplier for determining the top level from the calculated range.
Bottom Level : Multiplier for determining the bottom level from the calculated range.
Levels Visibility : Sets how many recent bars will display the levels.
Trading Zones :
Short Area : Highlighted zone indicating potential shorting opportunities.
Long Area : Highlighted zone indicating potential buying opportunities.
The Levels :
Wave (Yellow): Midpoint of the calculated range, adjusted by WMA.
Top Level (Red): Calculated upper boundary of the trading range.
Sell Level (Pink): Intermediate sell level.
Resistance Level (Magenta): Immediate resistance level.
Support Level (Cyan): Immediate support level.
Buy Level (Light Green): Intermediate buy level.
Bottom Level (Dark Green): Calculated lower boundary of the trading range.
Interpreting the Signals :
Hammer Signal : Red circles above bars indicate potential sell signals.
Rocket Signal : Green circles below bars indicate potential buy signals.
KEY CONCEPTS
Highest High and Lowest Low :
These values represent the highest high ( HH ) and lowest low ( LL ) over a specified number of periods.
Support Level :
This is the lower boundary of the trading range. It is a price level where demand is strong enough to prevent the price from falling further. As the price approaches the support level, it is likely to bounce back up.
Resistance Level :
This is the upper boundary of the trading range. It is a price level where supply is strong enough to prevent the price from rising further. As the price approaches the resistance level, it is likely to pull back down.
THE USE OF MULTIPLIERS :
The script uses several multipliers to adjust and fine-tune the calculated support and resistance levels, as well as to control the range and sensitivity of these levels. Here is a detailed explanation of these multipliers and their purpose:
Range Corrector : This multiplier adjusts the calculated high ( H ) and low ( L ) levels, adding flexibility to how these levels are positioned relative to the highest high and lowest low. It ranges from -1 to 1 , with a default value of 0 . The use of positive values increase the range, making the calculated levels further apart. Thus, using negative values decrease the range, bringing the calculated levels closer together.
Top Level : This multiplier adjusts the distance of the top level from the calculated high H ) level. It fluctuates from 0 to 2 , with a default value of 0.382 . Higher values will push the top level further above the high level, while lower values will bring it closer.
Bottom Level : This multiplier adjusts the distance of the bottom support level from the calculated low support level. Ranging from 0 to 2, with a default value of 0.214, the higher values will push the bottom level further below the low level, while lower values will bring it closer.
The script plots the support and resistance levels on the chart, allowing traders to visualize the trading range. Color-coded zones are used to indicate areas where buying or selling opportunities may arise based on the current price relative to the trading range. A trading range refers to the area between a price's support and resistance levels over a specific period of time. Within this range, the price of the security fluctuates up and down but does not break out above the resistance or below the support. Support and resistance levels to make trading decisions. Buying near the support level and selling near the resistance level is a common strategy. When the price moves above the resistance level, it is called a breakout . A breakout often indicates that the price may start a new upward trend . Conversely, when the price moves below the support level, it is called a breakdown . A breakdown often indicates that the price may start a new downward trend . By understanding and utilizing trading ranges, traders can make more informed decisions, optimize their trading strategies, and manage risk more effectively.
Understanding Moving Averages
A moving average (MA) is a widely used technical indicator that helps smooth out price data by creating a constantly updated average price. The main purpose of using a moving average is to identify the direction of the trend and to reduce the "noise" of random price fluctuations. The Weighted Moving Average ( WMA ) assigns different weights to each period, with more recent periods typically given more weight. A 10-day WMA might give the most recent day a weight of 10, the second most recent day a weight of 9, and so on. It is useful for traders who want to emphasize recent price data more than older data. When the price is above the moving average, it suggests an Bullish trend . A Bearish Trend is expected to take place when the price is below the moving average. Understanding the price reactions around these levels can be used to make trading decisions.
APPLYING CONCEPTS
Support and Resistance Calculations in the Script :
The script calculates dynamic support and resistance levels using weighted moving averages ( WMA s) and the highest high and lowest low over specified periods. Buy ( Rocket ) and sell ( Hammer ) signals are generated based on the crossing of the price with calculated top and bottom levels.These signals help traders identify potential entry and exit points within the trading range .
Weighted Moving Average (WMA) Application in the Script
This script calculates a special trendWMA using the close price that helps in creating a more dynamic moving average that considers both high and low price actions. This modified WMA is used in conjunction with highest high and lowest low values over specified periods to calculate dynamic support and resistance levels.
Explanation of the Levels in the Script
By understanding these levels, traders can make more informed decisions about where to enter and exit trades, manage risk, and anticipate potential market movements. The script incorporates several key levels levels that traders can use to better anticipate price movements and make more informed trading decisions. Leveraging the principles of Fibonacci retracement ratios ( 23.6%, 38.2%, 50%, 61.8%, and 100% ) to identify key support and resistance zones can also serve for gauging the overall market sentiment.
Top Level and Sell Leve l: Used to identify potential resistance zones where the price may reverse or pause.
Support Level and Buy Level : Used to identify potential support zones where the price may bounce.
Upper and Lower Pivot Values : Serve as intermediate levels for possible price retracements or extensions within the trading range.
Wave Level : Indicates the central trend direction, which can be useful for gauging the overall market sentiment.
Alerts are a crucial part of the script as they notify traders of potential buy and sell signals based on predefined conditions. There are two main alerts: one for a " Hammer " signal (sell condition) and one for a " Rocket " signal (buy condition).
Adjust the input parameters to fit your trading style and the specific asset being analyzed. Shorter lengths may be more responsive to price changes but can produce more false signals , while longer lengths provide smoother signals but may lag . Always backtest the indicator on historical data to understand its behavior and performance. Also remember that different markets may require different parameter settings for optimal performance.
Keep in mind that by nature like all moving averages, WMAs lag behind price action. This means that signals may be delayed. The indicator performs differently in various market conditions. Always consider the overall market context when interpreting signals.
Adjusting parameters like the range corrector and visibility can help tailor the indicator to specific market conditions or trading strategies, improving its effectiveness. The script uses the calculated levels to plot lines and fill zones on the chart, helping traders visualize potential support, resistance, and trend reversal points. The use of multipliers allows for dynamic adjustment of these levels, making the indicator flexible and adaptable to different market conditions.
I think traders can make more informed decisions about where to enter and exit trades, manage risk, and anticipate potential market movements following this code. Stay safe and always remember that market is always changing. Use this tool if you want, please stay informed and plan safe trades,
D.
Multi-Timeframe MA Levels█ OVERVIEW
This Pine Script is an indicator for displaying multiple moving average (MA) levels from several timeframes on your TradingView charts. At the Realtime Bar (the right-most bar on your chart), it draws a line where the various moving averages currently are.
For example, it will show you where the 8 EMA on the 5 minute timeframe is on your 1-minute timeframe chart.
It derives its look and function from "Lepelle's Key Levels" and focuses on visualizing various moving averages to complement this indicator.
█ FEATURES
1 — Multi-Timeframe Analysis:
• The script allows traders to view moving averages from different timeframes on a single chart.
This multi-timeframe approach helps identify significant levels and trends that might not be apparent when looking at a single timeframe.
2 — Customization and Flexibility:
• Extensive input options for customizing the appearance of the lines (width, style, color) and labels (size, position, distance from price).
This ensures that the indicator can be tailored to individual preferences and charting styles.
3 — Multiple Moving Averages:
• Support for various types of moving averages (8 EMA, 21 EMA, 50 SMA, 100 SMA, 200 SMA).
Each moving average can be individually enabled or disabled for specific timeframes,
providing a flexible tool for technical analysis.
█ SETTINGS
Inputs for Styling:
• Controls the appearance of the lines and labels.
• Includes options for line width, line style, text size, distance from the candlesticks, label position,
and whether to hide prices or use shorthand notation.
Moving Averages Settings:
• Inputs to select different moving averages (8 EMA, 21 EMA, 50 SMA, 100 SMA, 200 SMA) and their corresponding colors.
• Boolean inputs to enable or disable these moving averages on various timeframes (2 min, 5 min, hourly, daily).
█ SUMMARY
In essence, this script provides a comprehensive tool for technical analysis by combining multi-timeframe moving averages into a single, customizable, and user-friendly indicator. It enhances traders' ability to make informed decisions by providing clear visual representations of key moving average levels across different timeframes.
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█ LIMITATIONS
This script is best used with a short timeframe such as 1-minute or lower because of the limitations of Multi-Timeframe scripts. Basically, the alternate timeframes in use should always be higher than the chart timeframe.
═════════════════════════════════════════════════════════════
█ NOTES
This indicator is intended to complement and be used with "Lepelle's Key Levels" indicator.
In that indictor settings, I recommend turning off the 5 Daily timeframe moving average levels in that script, if using this one.
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SMA DMA Crossing SignalSMA and DMA Crossing Buy Sell Signals
This script implements a Double Moving Average (DMA) strategy, a popular technical analysis technique used by traders to identify trends and potential buy/sell signals in financial markets.
**Description:**
The Double Moving Average strategy involves the calculation of two moving averages – a short-term moving average and a long-term moving average. In this script, we calculate these moving averages as follows:
1. **Short-term DMA (`dmaShort`):**
- Calculated using a 28-bar Simple Moving Average (SMA).
- Represents the shorter-term trend in the price movement.
2. **Long-term DMA (`dmaLong`):**
- Also calculated using a 28-bar SMA.
- Displaced backward by 14 bars (`dmaLong := request.security(syminfo.tickerid, "D", dmaLong )`), effectively creating a 28-bar SMA with a -14 bar displacement.
- Represents the longer-term trend in the price movement.
**Signals:**
Buy and sell signals are generated based on the crossing of the short-term DMA over or under the long-term DMA:
- **Buy Signal (`DMA BUY`):** Occurs when the short-term DMA crosses above the long-term DMA (`dmaBuySignal`).
- **Sell Signal (`DMA SELL`):** Occurs when the short-term DMA crosses below the long-term DMA (`dmaSellSignal`).
**How to Use:**
- **Buy Signal:** Consider entering a long position when the short-term DMA crosses above the long-term DMA, indicating a potential uptrend.
- **Sell Signal:** Consider exiting a long position or entering a short position when the short-term DMA crosses below the long-term DMA, indicating a potential downtrend.
This script provides a visual representation of the DMA crossover signals on the chart, helping traders identify potential entry and exit points in the market.
**Note:** It's important to combine DMA signals with other technical analysis tools and risk management strategies for informed trading decisions.
All comments are welcome..
Multi-Chart Widget [LuxAlgo]The Multi-Chart Widget tool is a comprehensive solution crafted for traders and investors looking to analyze multiple financial instruments simultaneously. With the capability to showcase up to three additional charts, users can customize each chart by selecting different financial instruments, and timeframes.
Users can add various widely used technical indicators to the charts such as the relative strength index, Supertrend, moving averages, Bollinger Bands...etc.
🔶 USAGE
The tool offers traders and investors a comprehensive view of multiple charts simultaneously. By displaying up to three additional charts alongside the primary chart, users can analyze assets across different timeframes, compare their performance, and make informed decisions.
Users have the flexibility to choose from various customizable chart types, including the recently added "Volume Candles" option.
This tool allows adding to the chart some of the most widely used technical indicators, such as the Supertrend, Bollinger Bands, and various moving averages.
In addition to the charting capabilities, the tool also features a dynamic statistic panel that provides essential metrics and key insights into the selected assets. Users can track performance indicators such as relative strength, trend, and volatility, enabling them to identify trends, patterns, and trading opportunities efficiently.
🔶 DETAILS
A brief overview of the indicators featured in the statistic panel is given in the sub-section below:
🔹Dual Supertrend
The Dual Supertrend is a modified version of the Supertrend indicator, which is based on the concept of trend following. It generates buy or sell signals by analyzing the asset's price movement. The Dual Supertrend incorporates two Supertrend indicators with different parameters to provide potentially more accurate signals. It helps traders identify trend reversals and establish trend direction in a more responsive manner compared to a single Supertrend.
🔹Relative Strength Index
The Relative Strength Index is a momentum oscillator that measures the speed and change of price movements. RSI oscillates between 0 and 100 and is typically used to identify overbought or oversold conditions in a market. Traditionally, RSI values above 70 are considered overbought, suggesting that the asset may be due for a reversal or correction, while RSI values below 30 are considered oversold, indicating potential buying opportunities.
🔹Volatility
Volatility in trading refers to the degree of variation or fluctuation in the price of a financial instrument, such as a stock, currency pair, or commodity, over a certain period of time. It is a measure of the speed and magnitude of price changes and reflects the level of uncertainty or risk in the market. High volatility implies that prices are experiencing rapid and significant movements, while low volatility suggests that prices are relatively stable and are not changing much. Traders often use volatility as an indicator to assess the potential risk and return of an investment and to make informed decisions about when to enter or exit trades.
🔹R-Squared (R²)
R-squared, also known as the coefficient of determination, is a statistical measure that indicates the proportion of the variance in the dependent variable that is predictable from the independent variable(s). In other words, it quantifies the goodness of fit of a regression model to the observed data. R-squared values range from %0 to %100, with higher values indicating a better fit of the model to the data. An R-squared of 100% means that all movements of a security are completely explained by movements in the index, while an R-squared value of %0 indicates that the model does not explain any of the variability in the dependent variable.
In simpler terms, in investing, a high R-squared, from 85% to 100%, indicates that the stock’s or fund’s performance moves relatively in line with the index. Conversely, a low R-squared (around 70% or less) indicates that the fund's performance tends to deviate significantly from the movements of the index.
🔶 SETTINGS
🔹Mini Chart(s) Generic Settings
Mini Charts Separator: This option toggles the visibility of the separator lines.
Number Of Bars: Specifies the number of bars to be displayed for each mini chart.
Horizontal Offset: Determines the distance at which the mini charts will be displayed from the primary chart.
🔹Mini Chart Settings: Top - Middle - Bottom
Mini Chart Top/Middle/Bottom: Toggle the visibility of the selected mini chart.
Symbol: Choose the financial instrument to be displayed in the mini chart. If left as an empty string, it will default to the current chart instrument.
Timeframe: This option determines the timeframe used for calculating the mini charts. If a timeframe lower than the chart's timeframe is selected, the calculations will be based on the chart's timeframe.
Chart Type: Selection from various chart types for the mini charts, including candles, volume candles, line, area, columns, high-low, and Heikin Ashi.
Chart Size: Determines the size of the mini chart.
Technical Indicator: Selection from various technical indicators to be displayed on top of the mini charts.
Note : Chart sizing is relative to other mini charts. For example, If all the mini charts are sized to x5 relative to each other, the result will be the same as if they were all sized as x1. This is because the relative proportions between the mini charts remain consistent regardless of their absolute sizes. Therefore, their positions and sizes relative to each other remain unchanged, resulting in the same visual representation despite the differences in absolute scale.
🔹Supertrend Settings
ATR Length: is the lookback length for the ATR calculation.
Factor: is what the ATR is multiplied by to offset the bands from price.
Color: color customization option.
🔹Moving Average Settings
Type: is the type of the moving average, available types of moving averages include SMA (Simple Moving Average), EMA (Exponential Moving Average), RMA (Root Mean Square Moving Average), HMA (Hull Moving Average), WMA (Weighted Moving Average), and VWMA (Volume Weighted Moving Average).
Source: Determines what data from each bar will be used in calculations.
Length: The time period to be used in calculating the Moving Average.
Color: Color customization option.
🔹Bollinger Bands Settings
Basis Type: Determines the type of Moving Average that is applied to the basis plot line.
Source: Determines what data from each bar will be used in calculations.
Length: The time period to be used in calculating the Moving Average which creates the base for the Upper and Lower Bands.
StdDev: The number of Standard Deviations away from the Moving Average that the Upper and Lower Bands should be.
Color: Color customization options for basis, upper and lower bands.
🔹Mini Chart(s) Panel Settings
Mini Chart(s) Panel: Controls the visibility of the panel containing the mini charts.
Dual Supertrend: Toggles the display of the evaluated dual super trend, based on the super trend settings provided below the option. The definitions for the options are the same as stated above for the super trend.
Relative Strength Index: Toggles the display of the evaluated RSI, based on the source and length settings provided below the option.
Volatility: Toggles the display of the calculated Volatility, based on the length settings provided below the option.
R-Squared: Toggles the display of the calculated R-Squared (R²), based on the length settings provided below the option.
🔶 LIMITATIONS
The tool allows users to display mini charts featuring various types of instruments alongside the primary chart instrument. However, there's a limitation: the selected primary chart instrument must have an ACTIVE market status. Alternatively, if the primary chart instrument is not active, the mini chart instruments must belong to the same exchange and have the same type as the primary chart instrument.
Tetuan SniperThe TEMA and EMA Crossover Alert with SL, TP, and Order Signal strategy combines the power of Triple Exponential Moving Average (TEMA) and Exponential Moving Average (EMA) to generate high-quality trading signals. This strategy is designed to provide clear entry and exit points, manage risk through dynamic Stop Loss (SL) and Take Profit (TP) levels, and optimize trade sizes based on account balance and risk tolerance.
Key Features:
EMA and TEMA Crossover:
The strategy identifies potential buy and sell signals based on the crossover of EMA and TEMA. A buy signal is generated when TEMA crosses above EMA, and a sell signal is generated when TEMA crosses below EMA.
Dynamic Stop Loss (SL) and Take Profit (TP):
Stop Loss levels are dynamically set based on a user-defined number of pips below (for buy orders) or above (for sell orders) the lowest or highest point since the crossover.
Take Profit levels are dynamically adjusted using another TEMA, providing a flexible exit strategy that adapts to market conditions.
Lot Size Calculation:
The strategy calculates the optimal lot size based on the account balance, risk percentage per trade, and the number of maximum open orders. For JPY pairs, the lot size is adjusted by dividing by 100 to account for the different pip value.
The lot size is rounded to two decimal places for better readability and precision.
Visual Alerts and Labels:
Clear visual alerts and labels are provided for each buy and sell signal, including the recommended SL, TP, and lot size. The labels are placed in a way to avoid overlapping important chart elements.
Trend Visualization:
The area between the TEMA and EMA is colored to indicate the trend, with green for bullish trends and red for bearish trends, making it easy to visualize the market direction.
Inputs:
SL Points: Number of pips for the Stop Loss.
EMA Period: Period for the Exponential Moving Average.
TEMA Period: Period for the Triple Exponential Moving Average.
Account Balance: The total account balance for calculating the lot size.
Risk Percentage: The percentage of the account balance to risk per trade.
Take Profit TEMA Period: Period for the TEMA used to set Take Profit levels.
Lot per Pip Value: The value of 1 pip per lot.
Maximum Open Orders: The maximum number of open orders to split the balance among.
Example Usage
This strategy is suitable for traders who want to automate their trading signals and manage risk effectively. By combining TEMA and EMA crossovers with dynamic SL and TP levels and precise lot size calculation, traders can achieve a disciplined and methodical approach to trading.
Multi-Frame Market Sentiment DashboardOverview
This Pine Script™ code generates a "Market Sentiment Dashboard" on TradingView, providing a visual summary of market sentiment across multiple timeframes. This tool aids traders in making informed decisions by displaying real-time sentiment analysis based on Exponential Moving Averages (EMA).
Key Features
Panel Positioning:
Custom Placement: Traders can position the dashboard at the top, middle, or bottom of the chart and align it to the left, center, or right, ensuring optimal integration with other chart elements.
Customizable Colors:
Sentiment Colors: Users can define colors for bullish, bearish, and neutral market conditions, enhancing the dashboard's readability.
Text Color: Customizable text color ensures clarity against various background colors.
Label Size:
Scalable Labels: Adjustable label sizes (from very small to very large) ensure readability across different screen sizes and resolutions.
Market Sentiment Calculation:
EMA-Based Sentiment: The dashboard calculates sentiment using a 9-period EMA. If the EMA is higher than two bars ago, the sentiment is bullish; if lower, it's bearish; otherwise, it's neutral.
Multiple Timeframes: Sentiment is calculated for several timeframes: 1 minute, 3 minutes, 5 minutes, 15 minutes, 30 minutes, 1 hour, 4 hours, and 1 day. This broad analysis provides a comprehensive view of market conditions.
Dynamic Table:
Structured Display: The dashboard uses a table to organize and display sentiment data clearly.
Real-Time Updates: The table updates in real-time, providing traders with up-to-date market information.
How It Works
EMA Calculation: The script requests EMA(9) values for each specified timeframe and compares the current EMA with the EMA from two bars ago to determine market sentiment.
Color Coding: Depending on the sentiment (Bullish, Bearish, or Neutral), the corresponding cell in the table is color-coded using predefined colors.
Table Display: The table displays the timeframe and corresponding sentiment, allowing traders to quickly assess market trends.
Benefits to Traders
Quick Assessment: Traders can quickly evaluate market sentiment across multiple timeframes without switching charts or manually calculating indicators.
Enhanced Visualization: The color-coded sentiment display makes it easy to identify trends at a glance.
Multi-Timeframe Analysis: Provides a broad view of short-term and long-term market trends, helping traders confirm trends and avoid false signals.
This dashboard enhances the overall trading experience by providing a comprehensive, customizable, and easy-to-read summary of market sentiment.
Usage Instructions
Add the Script to Your Chart: Apply the "Market Sentiment Dashboard" indicator to your TradingView chart.
Customize Settings: Adjust the panel position, colors, and label sizes to fit your preferences.
Interpret Sentiment: Use the color-coded table to quickly understand the market sentiment across different timeframes and make informed trading decisions.
On Balance Volume (OBV) with Multiple SMAs IndicatorThe On Balance Volume (OBV) with Multiple SMAs Indicator is a powerful tool designed to provide insights into market momentum and volume trends. By combining the traditional OBV calculation with multiple Simple Moving Averages (SMAs), this indicator helps traders to identify potential changes in trend and confirm the strength of existing trends.
Key Features
On Balance Volume (OBV):
OBV is a cumulative volume-based indicator that adds volume on up days and subtracts volume on down days. It helps to identify the buying and selling pressure.
OBV is calculated by summing the volume when the closing price is higher than the previous close and subtracting the volume when the closing price is lower than the previous close.
Simple Moving Averages (SMAs):
SMAs are calculated on the OBV to smooth out the fluctuations and highlight the underlying trend.
This indicator includes the following SMAs:
21-period SMA: Short-term trend indicator, helps in identifying quick trend reversals.
60-period SMA: Medium-term trend indicator, provides a balance between short-term and long-term trends.
100-period SMA: Long-term trend indicator, useful for identifying sustained trends.
200-period SMA: Very long-term trend indicator, helps in identifying major trend directions and potential changes.
How to Use
Identify Trend Direction:
The slope and direction of the OBV line indicate the overall buying and selling pressure in the market.
When OBV is above its SMAs, it suggests a strong buying pressure. Conversely, when OBV is below its SMAs, it indicates selling pressure.
Confirm Trends:
The crossovers of the OBV line and its SMAs can act as confirmations for trend changes. For example, when OBV crosses above the 21-period SMA, it may signal a short-term bullish trend.
Support and Resistance:
The SMAs can act as dynamic support and resistance levels for the OBV line. Price bouncing off these levels may provide entry and exit points.
Visualization
OBV Line: Plotted in blue to represent the cumulative volume trend.
21-period SMA: Plotted in red, indicating short-term trends.
60-period SMA: Plotted in orange, representing medium-term trends.
100-period SMA: Plotted in green, showing long-term trends.
200-period SMA: Plotted in blue, indicating very long-term trends.
Dual Simple Moving Average with Price ConditionThe "Dual Simple Moving Average with Price Condition" indicator is a powerful tool designed to help traders identify potential buy and sell opportunities by analyzing the relationship between two Simple Moving Averages (SMAs) and the price action.
Features:
Simple Moving Averages (SMAs):
The indicator uses two SMAs: a short-term SMA and a long-term SMA.
The lengths of these SMAs can be customized to suit the trader’s preferences and trading style.
Crossover Signals:
Buy signals are generated when the short-term SMA crosses above the long-term SMA.
Sell signals are generated when the short-term SMA crosses below the long-term SMA.
Price Condition:
To enhance the reliability of the signals, the indicator includes a price condition:
A buy signal is only confirmed if, at the time of the crossover, the closing price is at its maximum over a specified period.
A sell signal is only confirmed if, at the time of the crossover, the closing price is at its minimum over a specified period.
The period for determining the maximum and minimum price can be customized by the user.
Visual Alerts:
Green "Buy" labels are displayed below the bars when a buy signal is confirmed.
Red "Sell" labels are displayed above the bars when a sell signal is confirmed.
How to Use:
Adjust the Inputs:
Customize the lengths of the short-term and long-term SMAs according to your trading strategy.
Set the period over which to evaluate the maximum and minimum prices.
Interpret the Signals:
Use the crossover of the short-term and long-term SMAs as the primary signal.
Confirm the signal by checking if the price condition is met (price at its maximum or minimum for the specified period).
Trade Entry and Exit:
Enter a long position when a green "Buy" label appears below the bar.
Enter a short position or exit a long position when a red "Sell" label appears above the bar.
Trading Tip: You can use the indicator best in higher timeframes, such as 4-hour (4H) and daily charts, along with a trend line. This approach helps to avoid false signals that may occur due to frequent crossings of the short and long-term SMAs on lower timeframes.
This indicator is suitable for various financial instruments including stocks, forex, commodities, and cryptocurrencies. By combining moving average crossovers with price conditions, it provides a robust mechanism for identifying high-probability trading opportunities.
PROWIN STUDY BASIC CURRENT CANDLE TABLE**PROWIN STUDY BASIC CURRENT CANDLE TABLE**
**Description:**
The PROWIN STUDY BASIC CURRENT CANDLE TABLE indicator provides an insightful analysis of the current candle's volume and its comparative performance against the last 50 candles. This script includes several features designed to help traders understand volume trends and potential market direction.
**Key Features:**
1. **Volume Analysis**:
- Accesses the current candle's volume and compares it with the highest and lowest volumes over the past 50 candles.
- Calculates the average volume between the highest and lowest values for a better perspective.
2. **Candle Trend Identification**:
- Identifies whether the current candle is bullish or bearish by comparing the current close price with the previous close price.
3. **Average Volume Calculation**:
- Computes the average volume of bullish (green) and bearish (red) candles over the last 50 periods.
- Derives an average value between the green and red volume averages.
4. **Volume Slope Calculation**:
- Calculates the difference in volume averages (EMAs) between successive periods to determine the slope.
- Computes the angle of inclination for green, red, and average volume lines in degrees.
5. **Plotting**:
- Plots the average volumes of green and red candles as well as the combined average on the chart.
- Visualizes these metrics with color-coded lines for quick interpretation.
6. **Dynamic Table**:
- Displays a dynamic table on the chart that updates in real-time.
- Shows the angles of inclination for buy (green), sell (red), and average volume (blue) with corresponding background colors.
7. **Customizable Background**:
- Includes an option to set a semi-transparent background color for the chart, enhancing visual clarity.
This indicator is designed to help traders gain deeper insights into market volume dynamics and make more informed trading decisions. Whether you're analyzing short-term movements or long-term trends, the PROWIN STUDY BASIC CURRENT CANDLE TABLE offers valuable data at a glance.
Multi-Timeframe Trend Cloud (EMA13/21) with Alerts Purpose:
This indicator combines trend analysis across multiple timeframes with alerts to help identify general trends and market shifts. It visualizes trends by creating EMA clouds (The area between EMA13 & EMA21), detects confirmed EMA crossovers, and can alert users when the price re-enters the cloud or interacts with the EMA200.
Input Parameters:
Lower Timeframe (LTF): Allows you to select the lower timeframe for trend analysis (e.g., 1 hour, 4 hours).
Higher Timeframe (HTF): Allows you to select the higher timeframe for the main trend reference (e.g., 4 hours, 1 day).
Fill Colors: You can customize the colors used to fill the areas between the EMA lines in both the higher and lower timeframes. Note: The LTF cloud defaults to transparent white so if you have a light background change the color in style settings.
The EMA's default to transparent but can be turned on in the style settings.
Calculating & Plotting EMAs:
The indicator calculates two Exponential Moving Averages (EMAs) on both the LTF and HTF: a faster 13-period EMA and a slower 21-period EMA.
Additionally, it calculates a 200-period EMA on the HTF.
These EMAs are plotted on your chart, providing a visual representation of the trend.
Identifying Trend States:
The script uses the relationships between the price and the 13-period and 21-period EMAs on the Higher Time Frame (HTF) to identify four distinct trend states, each depicted by a specific color to create the "Trend Cloud":
Strong Bull Trend: The 13-period EMA is above the 21-period EMA, and the price is above both EMAs. --- "Color 0" in HTF Trend style settings.
Broken Bullish Trend: The 13-period EMA is above the 21-period EMA but price has broken below both EMA's. --- "Color 3" in HTF Trend style settings.
Strong Bear Trend: The 13-period EMA is below the 21-period EMA, and the price is below both EMAs. --- "Color 2" in HTF Trend style settings.
Broken Bearish Trend: The 13-period EMA is below the 21-period EMA but price has broken above both EMA's. --- "Color 1" in HTF Trend style settings.
Important Note: The 200-period EMA is plotted for reference but is not directly used in determining the current trend state within this script.
Confirmed Crossover Signals:
The indicator plots upward or downward triangles to signal confirmed crossovers of the EMA13 and EMA21 on the HTF. A crossover is considered "confirmed" when it's followed by a candle closing on the same side of the crossing point, adding an extra layer of confidence to the signal.
Cloud Re-entry Alerts:
Receive alerts whenever the price re-enters the HTF cloud - aka "Trend".
EMA200 Retest Alerts:
Get alerts when the price touches the 200 EMA on the HTF. These alerts can be valuable for identifying potential trend reversals or trend continuation scenarios.
Benefits:
Clear Visual Representation: Easily visualize trends on both the lower and higher timeframes.
Confirmed Signals: Filter out false signals by focusing on confirmed crossovers.
Timely Alerts: Get instant notifications for important price actions, allowing you to react quickly to market opportunities.
Customizable: Tailor the indicator's appearance and alert settings to your preferences.
How to Use:
Add the indicator to your chart.
Select your desired LTF and HTF in the Inputs tab.
Customize the fill colors (and optional EMA line colors) in the Style tab.
Enable the alerts you want to receive in the Alerts tab.
Note: This indicator is a great tool for trend analysis, but it should be used with other forms of analysis and risk management techniques to make informed trading decisions.
Kaufman Adaptive Moving Average (KAMA) Strategy [TradeDots]"The Kaufman Adaptive Moving Average (KAMA) Strategy" is a trend-following system that leverages the adaptive qualities of the Kaufman Adaptive Moving Average (KAMA). This strategy is distinguished by its ability to adjust dynamically to market volatility, enhancing trading accuracy by minimizing the effects of false and delayed signals often associated with the Simple Moving Average (SMA).
HOW IT WORKS
This strategy is centered around use of the Kaufman Adaptive Moving Average (KAMA) indicator, which refines the principles of the Exponential Moving Average (EMA) with a superior smoothing technique.
KAMA distinguishes itself by its responsiveness to changes in market prices through an "Efficiency Ratio (ER)." This ratio is computed by dividing the recent absolute net price change by the cumulative sum of the absolute price changes over a specified period. The resulting ER value ranges between 0 and 1, where 0 indicates high market noise and 1 reflects stronger market momentum.
Using ER, we could get the smoothing constant (SC) for the moving average derived using the following formula:
fastest = 2/(fastma_length + 1)
slowest = 2/(slowma_length + 1)
SC = math.pow((ER * (fastest-slowest) + slowest), 2)
The KAMA line is then calculated by applying the SC to the difference between the current price and the previous KAMA.
APPLICATION
For entering long positions, this strategy initializes when there is a sequence of 10 consecutive rising KAMA lines. Conversely, a sequence of 10 consecutive falling KAMA lines triggers sell orders for long positions. The same logic applies inversely for short positions.
DEFAULT SETUP
Commission: 0.01%
Initial Capital: $10,000
Equity per Trade: 80%
Users are advised to adjust and personalize this trading strategy to better match their individual trading preferences and style.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Volume Surge Analysis [UAlgo]The "Volume Surge Analysis " indicator is designed to detect significant volume surges in the market. By analyzing volume relative to its moving average and incorporating a comparison of the true range of price movements, this script highlights potential bullish and bearish volume spikes. Traders can utilize these signals to identify moments of heightened market activity that may indicate strong buying or selling pressure.
🔶Features
Volume Multiplier: Customizable setting to define the threshold for what constitutes a volume surge.
Volume SMA Length: Adjustable length for the Simple Moving Average (SMA) of volume.
Price Movement Analysis
Enhances the volume analysis by adding an additional layer of context, helping to confirm whether a volume surge is associated with buying or selling pressure.
True Range Calculation: Measures the range of price movement to understand volatility.
Positive Movement (DM+): Calculated when the current high minus the previous high is greater than the previous low minus the current low. This helps identify strong upward movements.
Negative Movement (DM-): Calculated when the previous low minus the current low is greater than the current high minus the previous high. This helps identify strong downward movements.
Integration with Volume Analysis: By combining the volume analysis with price movement analysis, the script can more accurately determine whether a volume surge is likely driven by bullish or bearish sentiment. This integration helps filter out false signals and provides more reliable indications of market activity.
Median Volume Comparison: Compares the current volume against the median volume multiplied by the volume multiplier to identify significant volume spikes.
Bullish and Bearish Surge Signals: Plots circles above or below bars where significant volume surges occur, indicating potential bullish or bearish movements.
Color Customization: Options to set specific colors for bullish and bearish signals to enhance visual clarity.
Bar Coloring: Optional feature to change the color of bars based on detected volume surges.
Alerts: Configurable alerts for bullish and bearish volume spikes to notify traders in real-time.
🔶Interpretation:
Bullish Volume Surges ( Teal Circles ): These circles appear above the bar when the current volume exceeds the median volume by the specified Volume Multiplier, and the smoothed Positive Directional Index (PDI) is greater than the smoothed Negative Directional Index (NDI). This suggests a potential uptrend with strong buying pressure.
Bearish Volume Surges ( Red Circles ): These circles appear below the bar when the current volume exceeds the median volume by the specified Volume Multiplier, and the smoothed NDI is greater than the smoothed PDI. This suggests a potential downtrend with strong selling pressure.
Overall, the "Volume Surge Analysis " indicator serves as a valuable tool for traders seeking to identify potential trend reversals or strong continuations based on with an above-average rise in volume and directional momentum.
🔶Disclaimer
This indicator is intended for informational and educational purposes only and should not be construed as financial or investment advice. Trading involves substantial risk, and it is essential to conduct your own research and consult with a qualified financial advisor before making any trading decisions.
Micho 150 SMA indicatorAMEX:SPY NASDAQ:MSFT This Pine Script indicator is designed to assist traders by displaying a 150-day Simple Moving Average (SMA) and a stop loss level based on a user-defined percentage below the 150-day SMA. It also marks significant crossover events with labels and highlights potential trend changes using Golden Cross and Death Cross indicators.
Features:
150-Day Simple Moving Average (SMA):
The script calculates and plots the 150-day SMA of the closing prices. This is a common technical indicator used to determine the overall trend of a security. The 150-day SMA is plotted in gray on the chart.
Stop Loss Price:
Users can define a stop loss percentage through an input field. This percentage is used to calculate a stop loss price that is plotted 1% (or user-defined percentage) below the 150-day SMA. The stop loss line is plotted in red on the chart. This helps traders manage risk by indicating a price level where they might consider exiting a trade to prevent further losses.
Buy and Sell Signals:
The script identifies potential buy and sell signals based on crossovers of the closing price with the 150-day SMA:
Buy Signal: When the closing price crosses above the 150-day SMA.
Sell Signal: When the closing price crosses below the 150-day SMA.
Labels are plotted at the crossover points to indicate "start follow" for buy signals (in green) and "check stoploss" for sell signals (in red).
Golden Cross and Death Cross:
The script also identifies Golden Cross and Death Cross events:
Golden Cross: Occurs when the 50-day SMA crosses above the 200-day SMA. This is generally considered a bullish signal indicating a potential upward trend.
Death Cross: Occurs when the 50-day SMA crosses below the 200-day SMA. This is generally considered a bearish signal indicating a potential downward trend.
These crossover events are marked with labels on the chart: "Golden Cross" (in yellow) and "Death Cross" (in yellow)
Session MasterSession Master Indicator
Overview
The "Session Master" indicator is a unique tool designed to enhance trading decisions by providing visual cues and relevant information during the critical last 15 minutes of a trading session. It also integrates advanced trend analysis using the Average Directional Index (ADX) and Directional Movement Index (DI) to offer insights into market trends and potential entry/exit points.
Originality and Functionality
This script combines session timing, visual alerts, and trend analysis in a cohesive manner to give traders a comprehensive view of market behavior as the trading day concludes. Here’s a breakdown of its key features:
Last 15 Minutes Highlight : The script identifies the last 15 minutes of the trading session and highlights this period with a semi-transparent blue background, helping traders focus on end-of-day price movements.
Previous Session High and Low : The script dynamically plots the high and low of the previous trading session. These levels are crucial for identifying support and resistance and are highlighted with dashed lines and labeled for easy identification during the last 15 minutes of the current session.
Directional Movement and Trend Analysis : Using a combination of ADX and DI, the script calculates and plots trend strength and direction. A 21-period Exponential Moving Average (EMA) is plotted with color coding (green for bullish and red for bearish) based on the DI difference, offering clear visual cues about the market trend.
Technical Explanation
Last 15 Minutes Highlight:
The script checks the current time and compares it to the session’s last 15 minutes.
If within this period, the background color is changed to a semi-transparent blue to alert the trader.
Previous Session High and Low:
The script retrieves the high and low of the previous daily session.
During the last 15 minutes of the session, these levels are plotted as dashed lines and labeled appropriately.
ADX and DI Calculation:
The script calculates the True Range, Directional Movement (both positive and negative), and smoothes these values over a specified length (28 periods by default).
It then computes the Directional Indicators (DI+ and DI-) and the ADX to gauge trend strength.
The 21-period EMA is plotted with dynamic color changes based on the DI difference to indicate trend direction.
How to Use
Highlight Key Moments: Use the blue background highlight to concentrate on market movements in the critical last 15 minutes of the trading session.
Identify Key Levels: Pay attention to the plotted high and low of the previous session as they often act as significant support and resistance levels.
Assess Trend Strength: Use the ADX and DI values to understand the strength and direction of the market trend, aiding in making informed trading decisions.
EMA for Entry/Exit: Use the color-coded 21-period EMA for potential entry and exit signals based on the trend direction indicated by the DI.
Conclusion
The "Session Master" indicator is a powerful tool designed to help traders make informed decisions during the crucial end-of-session period. By combining session timing, previous session levels, and advanced trend analysis, it provides a comprehensive overview that is both informative and actionable. This script is particularly useful for intraday traders looking to optimize their strategies around session close times.
3 MA Strategy [Projeadam] OVERVIEW:
3 MA Strategy indicator displays and analyzes three types of moving averages (MAs) on a price chart. The primary function of this indicator is to identify buy and sell signals based on the crossover and crossunder events of the specified moving averages. It provides extensive customization options for the types and settings of the moving averages, and it can visualize these signals on the chart through labels and background colors.
Algorithm:
1. Initialization and Function Definition
• Define the ma_function to calculate different types of moving averages (EMA, SMA, RMA, WMA) based on user inputs.
2. Inputs and Moving Average Calculation
• Gather user inputs for three moving averages, including length, source, line width, color, and type.
• Calculate the values for the three moving averages using the ma_function.
3. Plotting Moving Averages
• Plot the calculated moving averages on the chart with the specified settings.
4. Buy and Sell Conditions
• Establish initial buy and sell conditions based on the crossover and crossunder of the first two moving averages.
• Adjust these conditions if the third moving average is enabled, considering its relationship with the close price.
5. Signal Control Logic
• Use variables (last_buy, last_sell, sinyal_control) to manage the signal generation process, ensuring a buy signal is followed by a sell signal and vice versa.
6. Signal Label and Background
• Add labels and background colors to the chart based on the generated signals if the respective settings are enabled.
7. Plotting Additional Information
• If the third moving average is enabled and the label_show_price setting is active, plot additional lines and labels to indicate the position of the moving average.
8. Alerts
• Set up alert conditions to notify the user when buy or sell conditions are met.
How Does the Indicator Work?
Moving Average Calculation
• The script calculates three different moving averages using the user-defined settings. Each moving average can be an EMA, SMA, RMA, or WMA and is calculated using the specified length and source.
Signal Generation
• Buy signals are generated when the first moving average crosses above the second moving average. If the third moving average is enabled, the close price must also be above the third moving average for a buy signal.
• Sell signals are generated when the first moving average crosses below the second moving average. If the third moving average is enabled, the close price must also be below the third moving average for a sell signal.
Visualization
• The moving averages are plotted on the chart with the colors and line widths specified by the user.
• Buy and sell signals are indicated by labels ('BUY' for buy signals, 'SELL' for sell signals) and optionally by changing the background color of the chart.
Alerts
• Alerts are set up to notify the user of buy or sell signals, as well as when either condition is met.
Settings Panel
MOVING AVERAGE SETTINGS 1 (BUY - SELL)
• Length: Length of the first moving average.
• Source: Source of the first moving average (e.g., close, open).
• Line Width: Line width of the first moving average.
• Color: Color of the first moving average.
• Moving Average Type: Type of the first moving average (EMA, SMA, RMA, WMA).
MOVING AVERAGE SETTINGS 2 (BUY - SELL)
• Length: Length of the second moving average.
• Source: Source of the second moving average.
• Line Width: Line width of the second moving average.
• Color: Color of the second moving average.
• Moving Average Type: Type of the second moving average (EMA, SMA, RMA, WMA).
FINAL MOVING AVERAGE SETTINGS
• Enable 3rd Average?: Toggle to activate the third moving average.
• Length: Length of the third moving average.
• Source: Source of the third moving average.
• Line Width: Line width of the third moving average.
• Color: Color of the third moving average.
• Moving Average Type: Type of the third moving average (EMA, SMA, RMA, WMA).
BUY - SELL SETTINGS
• Enable Background?: Toggle to activate background color changes based on signals.
• Enable Signal Labels?: Toggle to activate signal labels.
• Enable Price Labels?: Toggle to activate price labels.
• Sell Background: Background color for sell signals.
• Buy Background: Background color for buy signals.
Benefits of the 3 MA Indicator
1. Versatility and Customization
• The indicator supports multiple types of moving averages (EMA, SMA, RMA, WMA), allowing users to choose the one that best fits their trading strategy.
• Users can customize the length, source, line width, and color of each moving average, providing flexibility to tailor the indicator to their preferences.
2. Comprehensive Signal Generation
• The indicator generates clear buy and sell signals based on the crossover and crossunder events of the moving averages. This helps traders make informed decisions about entry and exit points.
• It includes an optional third moving average to filter signals, potentially reducing false signals and improving accuracy.
3. Visual Aids for Better Decision Making
• The indicator plots the moving averages on the chart, making it easy for traders to visualize trends and market conditions.
• Signal labels ('BUY' and 'SELL') are displayed on the chart, providing immediate visual cues for trading actions.
• The background color changes based on the signals, adding another layer of visual confirmation for traders.
4. Alert Notifications
• The indicator includes alert conditions for buy and sell signals, as well as a combined alert for either condition. This ensures that traders are notified in real-time when a signal is generated, allowing for timely action.
5. Historical Analysis
• By plotting moving averages and signals on the chart, traders can conduct historical analysis to see how the indicator would have performed in the past. This can help in evaluating the effectiveness of the trading strategy.
6. Enhanced Trading Confidence
• The use of multiple moving averages and customizable settings can enhance a trader's confidence in their trading decisions. By relying on objective criteria for signals, traders can reduce emotional trading and adhere to a disciplined approach.
7. Improved Market Understanding
• The indicator helps traders understand market trends and momentum by analyzing the relationships between different moving averages. This can lead to a deeper insight into market behavior and better trading strategies.
8. Ease of Use
• The indicator is straightforward to implement and use within TradingView, making it accessible to traders of all experience levels. The customizable settings panel ensures that even novice traders can set it up according to their needs.
VAMSI ADVANCE Entry HelperThe "VAMSI Entry Helper" indicator is designed to assist traders in identifying potential entry points in the market by analyzing price equilibrium and liquidity equilibrium using a combination of Relative Strength Index (RSI) and moving averages. Here’s a detailed description of its components and functionality:
Components of the Indicator:
RSI (Relative Strength Index):
RSI Length: This parameter (rsiLengthInput) controls the period over which the RSI is calculated. It is set to 50 by default, but you can adjust it as needed.
RSI Source: The source of the price data for calculating the RSI, which is the closing price by default.
Moving Average (MA):
MA Type: You can choose between Simple Moving Average (SMA) and Exponential Moving Average (EMA) for smoothing the RSI values.
MA Length: This parameter (maLengthInput) controls the period over which the moving average of the RSI is calculated. It is set to 60 by default.
Functionality:
RSI Calculation:
The script calculates the RSI based on the selected source and length. RSI is a momentum oscillator that measures the speed and change of price movements and oscillates between 0 and 100.
The RSI calculation involves computing the average gains and losses over the specified period (rsiLengthInput), and then applying the RSI formula.
Moving Average of RSI:
After calculating the RSI, the indicator computes a moving average of the RSI values using the specified type (SMA or EMA) and length (maLengthInput). This smoothed RSI helps in identifying the equilibrium of liquidity.
Plots:
RSI Plot: The RSI values are plotted on the chart with a purple line (#4B0082), providing a visual representation of price equilibrium.
MA Plot: The moving average of the RSI is plotted with a black line, showing the smoothed trend of the RSI.
Middle Band: A horizontal line at the 50 level is plotted as a reference point, indicating the midpoint of the RSI scale. This can help in identifying overbought and oversold conditions.
Use Case:
Price Equilibrium: The RSI plot helps traders identify when the price is relatively strong or weak. RSI values above 70 may indicate an overbought condition, while values below 30 may indicate an oversold condition.
Liquidity Equilibrium: The moving average of the RSI provides a smoothed view of the RSI, helping traders see the overall trend of liquidity equilibrium.
Example Usage:
Entry Points: Traders might look for entry points when the RSI crosses above or below its moving average, indicating potential changes in momentum.
Overbought/Oversold Conditions: Traders can use the RSI values along with the middle band (50) to identify overbought (RSI > 70) and oversold (RSI < 30) conditions.
Customization:
RSI Length: Adjustable to fit different trading strategies and timeframes.
Source: You can change the source data for the RSI calculation (e.g., close, open, high, low).
MA Type and Length: You can choose between SMA and EMA and adjust the period to better fit your trading style.
This indicator provides a comprehensive tool for traders to analyze price and liquidity equilibrium, helping them make informed decisions about entry points in the market.
Rolling VWAPThe Rolling VWAP indicator is a powerful technical analysis tool designed to help traders identify significant price levels and potential reversal points. This indicator combines a rolling volume-weighted average price (VWAP) with multiple standard deviation bands to provide a dynamic view of price volatility and market trends.
Key Features:
Rolling VWAP Calculation: The indicator calculates the VWAP using the high, low, and close prices (HLC3) over a user-defined rolling period. This VWAP is then plotted on the chart, providing a reliable benchmark for average price levels over a specified timeframe.
Adjustable Timeframes: Users can select from multiple timeframes (1 hour, 4 hours, 1 day, 3 days, 1 week) to calculate the RVWAP, allowing flexibility to analyze market trends over different periods.
Multiple Standard Deviation Bands: The indicator includes up to five adjustable standard deviation bands, each with customizable multipliers. These bands are plotted around the RVWAP to indicate potential support and resistance levels, helping traders identify areas of high and low volatility.
Customizable Display Settings: Users can toggle the visibility of each band and adjust their colors and transparency, making it easy to tailor the indicator to their specific analysis needs.
How to Use:
Selecting the VWAP Timeframe: Choose the desired timeframe for VWAP calculation from the options provided (1 hour, 4 hours, 1 day, 3 days, 1 week). This allows you to analyze price action over different periods and identify significant trends.
Adjusting Band Multipliers: Customize the multipliers for each standard deviation band to suit your trading strategy. By default, the indicator includes bands with multipliers of 2.0, 2.5, 3.0, 3.5, and 4.0. Adjust these values based on your preferred levels of price deviation.
Interpreting the Bands: The standard deviation bands provide key insights into market volatility. Inner Bands (e.g., 2.0 StdDev) indicate areas of normal price fluctuation. Price movement within these bands is generally considered stable. Outer Bands (e.g., 3.5 or 4.0 StdDev) highlight extreme price deviations. Price reaching these bands may signal overbought or oversold conditions, potentially leading to reversals.
Combining with Other Indicators: Enhance your analysis by using this indicator in conjunction with other technical tools such as moving averages, RSI, or MACD. This helps confirm signals and improve trading decisions.
Best Practices:
Trend Identification: Use the Rolling VWAP to identify the prevailing market trend. A rising VWAP indicates an uptrend, while a falling VWAP suggests a downtrend.
Support and Resistance Levels: The standard deviation bands act as dynamic support and resistance levels. Monitor price action around these bands for potential entry and exit points.
Volatility Analysis: Wider bands indicate higher market volatility, while narrower bands suggest lower volatility. Adjust your trading strategy accordingly based on the observed volatility levels.
24/7 Trading Instruments: This indicator is particularly useful for instruments that trade 24/7 and do not have defined sessions, such as cryptocurrencies. Unlike a session-anchored VWAP, the rolling VWAP provides a continuous measure of average price levels, making it ideal for analyzing markets that operate around the clock.
By integrating the Rolling VWAP indicator into your trading routine, you can gain a deeper understanding of price dynamics and make more informed trading decisions. Whether you are a day trader, swing trader, or long-term investor, this indicator provides valuable insights to help you navigate the markets with confidence.
TrendMaster Pro IndicatorThe TrendMaster Pro Indicator is an advanced tool designed to assist traders in identifying potential buy and sell signals by leveraging a combination of exponential moving averages (EMAs), the relative strength index (RSI), and a custom volatility filter. This powerful indicator is suitable for traders of all levels and can be applied to various markets and timeframes, offering flexibility and reliability in trading decisions.
Key Features:
EMA Crossover Detection:
Utilizes a 5-period (short) and 13-period (long) EMA crossover to detect trend changes.
A bullish signal is generated when the 5 EMA crosses above the 13 EMA, indicating an upward trend.
A bearish signal is generated when the 5 EMA crosses below the 13 EMA, indicating a downward trend.
RSI Confirmation:
Incorporates a 14-period RSI to confirm the strength of detected trends.
A buy signal is validated when the RSI is above 50, indicating bullish momentum.
A sell signal is validated when the RSI is below 50, indicating bearish momentum.
Custom Volatility Filter:
Employs a volatility filter based on the standard deviation of closing prices over a specified period (default is 10 periods).
Ensures signals are only generated during periods of significant market movement, reducing noise and false signals.
The volatility threshold can be adjusted to suit different market conditions and trading styles.
How It Works:
EMA Crossover:
The TrendMaster Pro Indicator continuously monitors the crossover between the 5-period and 13-period EMAs.
A crossover event triggers the initial signal, suggesting a potential change in trend direction.
RSI Confirmation:
After an EMA crossover, the indicator checks the 14-period RSI value to confirm the trend's strength.
This confirmation step helps filter out weak or unreliable signals, ensuring only high-probability trades are considered.
Volatility Filter:
The indicator calculates the standard deviation of closing prices over the selected period to measure market volatility.
Signals are only generated if the volatility exceeds the user-defined threshold, ensuring that trades are made in active and dynamic market conditions.
How to Use:
Apply the Indicator:
Add the TrendMaster Pro Indicator to your trading chart via the TradingView platform.
Customize the EMA, RSI, and volatility settings according to your trading preferences and the specific market conditions.
Interpret Buy and Sell Signals:
Buy Signal: Look for a buy signal when the 5 EMA crosses above the 13 EMA, the RSI is above 50, and volatility exceeds the threshold. This combination indicates a strong bullish trend.
Sell Signal: Look for a sell signal when the 5 EMA crosses below the 13 EMA, the RSI is below 50, and volatility exceeds the threshold. This combination indicates a strong bearish trend.
Adjust Settings:
The default settings can be fine-tuned to match your trading strategy. Adjust the EMA lengths, RSI period, and volatility threshold to optimize the indicator for different assets and timeframes.
Unique Features:
Comprehensive Trend Detection: Combines multiple indicators (EMAs, RSI, volatility) to provide a holistic view of market trends.
Customizable: Easily adjustable settings allow traders to tailor the indicator to their specific needs and preferences.
Noise Reduction: The volatility filter ensures signals are generated only during significant market movements, improving signal accuracy and reliability.
Conclusion:
The TrendMaster Pro Indicator is a versatile and powerful tool that can enhance your trading strategy by providing clear and reliable buy and sell signals. Whether you are a day trader or a swing trader, this indicator can help you navigate the markets with confidence and precision. Add the TrendMaster Pro Indicator to your toolkit today and experience a new level of trading efficiency and effectiveness.
