Waldo RSI :oWaldo RSI :o Indicator Guide
The Waldo RSI :o indicator is designed to complement the "Waldo RSI Overlay :o" by providing an RSI-based analysis on TradingView, focusing on macro shifts in market trends. Here's a comprehensive guide on how to use this indicator:
Key Features:
RSI Settings:
RSI Source: Choose from ON RSI, ON HIGH, ON LOW, ON CLOSE, or ON OPEN to determine how RSI calculates pivots.
RSI Settings:
Source: Default is (H+L)/2, but you can select any price for RSI calculation.
Length: Default RSI length is 7, which can be adjusted for sensitivity.
Trend Lines:
Show Trend Lines: Option to display trend lines based on RSI pivot points.
Zigzag Length: Determines pivot point sensitivity.
Confirm Length: Validates pivot points (default is 3).
Colors: Customize colors for Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL) on the RSI.
Label Size and Line Width: Adjust the appearance of labels and lines.
Divergences:
Classic Divergences:
Show Classic Div: Toggle to reveal divergences where RSI and price move in opposite directions.
Colors: Set different colors for bullish and bearish divergence indicators.
Transparency and Line Width: Control the visual impact of divergence signals.
Hidden Divergences:
Similar settings for identifying hidden divergences, suggest trend continuation.
Breakout/Breakdown:
Show Breakout/Breakdown: Generates signals for RSI breakouts or breakdowns, used by "Waldo RSI Overlay :o" for visual chart signals.
Overbought/Oversold Zones:
Show Overbought and OverSold Zones: Highlights when RSI goes above 70 (overbought) or below 30 (oversold).
Moving Averages on RSI:
The default Moving Average (MA) settings are tailored to capture macro shifts in market trends:
Show Moving Averages: Option to overlay two MAs on the RSI for trend confirmation:
Fast RSI MA:
RSI Period: 50 (this is the period over which the RSI is calculated).
MA Length: 50 (the number of periods used for the moving average of the RSI).
Slow RSI MA:
RSI Period: 50 (same as fast for consistency in RSI calculation).
MA Length: 200 (longer term for capturing broader trends).
Crossover Signals: The RSI changes color from red to green based on these moving average crossovers:
When the Fast MA (50 period) crosses above the Slow MA (200 period), the RSI turns green, indicating potential bullish conditions or momentum shift.
Conversely, when the Fast MA crosses below the Slow MA, the RSI turns red, suggesting bearish conditions or a shift back towards a downtrend.
This 50-period RSI crossover setting is used to identify overall macro shifts in the market, providing a clear visual cue for traders looking at longer-term trends.
Ghost Lines (Optional):
Ghost Lines: Option to limit how far RSI trend lines extend, helping to keep the chart less cluttered.
How to Use the Indicator:
Setup:
Configure RSI by choosing the source and setting the length to match your trading style.
Set the zigzag and confirm lengths for appropriate pivot detection.
Trend Analysis:
Monitor the RSI for trend changes using the colored trend lines and labels.
Divergence Detection:
Look for RSI and price divergences to anticipate potential reversals or continuations.
Breakout/Breakdown:
Use these signals in conjunction with "Waldo RSI Overlay :o" for price action confirmation.
Overbought/Oversold:
Identify when the market might be due for a correction or continued momentum.
Moving Averages:
Focus on the color changes in RSI to understand macro trend shifts with the default 50/200 period setup.
Ghost Lines:
Enable for a cleaner chart if you don't need trend lines extending indefinitely.
Usage Tips:
Combine with other indicators for confirmation, as no single tool is foolproof.
Adjust settings to suit different market conditions or trading timeframes.
Use in tandem with "Waldo RSI Overlay :o" for a full trading signal system.
Remember, trading involves significant risk, and historical data does not guarantee future performance. Use this indicator as part of a broader trading strategy.
在腳本中搜尋"moving average crossover"
Sniper Entry using RSI confirmationThis is a sniper entry indicator that provides Buy and Sell signals using other Indicators to give the best possible Entries (note: Entries will not be 100 percent accurate and analysis should be done to support an entry)
Moving Average Crossovers:
The indicator uses two moving averages: a short-term SMA (Simple Moving Average) and a long-term SMA.
When the short-term SMA crosses above the long-term SMA, it generates a buy signal (indicating potential upward momentum).
When the short-term SMA crosses below the long-term SMA, it generates a sell signal (indicating potential downward momentum).
RSI Confirmation:
The indicator incorporates RSI (Relative Strength Index) to confirm the buy and sell signals generated by the moving average crossovers.
RSI is used to gauge the overbought and oversold conditions of the market.
A buy signal is confirmed if RSI is below a specified overbought level, indicating potential buying opportunity.
A sell signal is confirmed if RSI is above a specified oversold level, indicating potential selling opportunity.
Dynamic Take Profit and Stop Loss:
The indicator calculates dynamic take profit and stop loss levels based on the Average True Range (ATR).
ATR is used to gauge market volatility, and the take profit and stop loss levels are adjusted accordingly.
This feature helps traders to manage their risk effectively by setting appropriate profit targets and stop loss levels.
Combining the information provided by these, the indicator will provide an entry point with a provided take profit and stop loss. The indicator can be applied to different asset classes. Risk management must be applied when using this indicator as it is not 100% guaranteed to be profitable.
Goodluck!
[CP]Pivot Boss Multi Timeframe CPR Inception with MACD and EMAINTRODUCTION:
This indicator combines multi-timeframe CPR bands with MACD Momentum and EMA trend, all projected on the candlestick chart through a novel visualization.
If you have seen my other indicators on TradingView, you would know that I use floor pivots a lot and “Secrets of a Pivot Boss” is my favorite book. While using floor pivots, time and again I have noticed an interesting price behavior,
Trending moves in price typically start from around the Central Pivot Range (CPR). The CPR could be from ANY timeframe. These moves can easily be caught using simple momentum and trend indicators like MACD and EMA crossovers.
Yes, it is that simple. Follow along to understand how to use this indicator.
INDICATOR SETTINGS:
RANGEBOUND MACD AND EMA MARKINGS:
TradingView limits the max number of labels that can be shown on a chart to 500. Therefore, if you go far back enough, you won't see any markings for the MACD or EMA setups. If you are looking to test the efficacy of this indicator in the past, change the start and end dates to your desired timeframe and then select the ‘Mark MACD and EMA Setups in Range?’ option.
MULTI TIMEFRAME CENTRAL PIVOT RANGE:
Here you can select CPRs and their bands from which timeframes are shown on the chart. I will share my favorite settings later in this description.
CPR CONFIGURATION:
Show CPR Labels: CPRs markings can carry labels, so that you don’t confuse between which line is what. Use this setting to toggle them On/Off.
Show Next Time Period Pivots: Check this option if you want to see the CPR of the next time period. This is typically done to figure out the ’Two Day CPR Relationship’ . Read the book, “Secrets of a Pivot Boss”, to understand more.
EMA TREND:
Show EMA on the Chart: EMAs will be plotted on the chart. Standard stuff.
Mark EMA Crossovers on Chart: EMA crossovers will be marked on the chart in diamond shapes. If you are using EMA crossovers, I recommend setting this option to True.
Rest of the EMA settings are fairly obvious.
MACD MOMENTUM:
Projecting MACD parameters directly on the candlesticks is surely going to give you a new perspective about price action and MACD.
Also, in order to better understand the MACD projections on the chart, you can add a standard MACD indicator on the chart with default settings to figure out what my indicator is actually showing you.
Marking MACD Crossovers on Chart: Marks the MACD signal crossovers on the chart. This visualization was a game changer for me.
Show MACD Histogram on Chart: Projects the complete MACD Histogram in a novel fashion (Try it!). You will be able to visually see the ebbs and flow of momentum in the charts.
Mark MACD Histogram Peaks on Chart: Marks only the MACD peaks instead of the complete histogram. Peaks are a great way to enter an ongoing trend and to play an intraday rangebound market.
Rest of the settings are just the standard settings that you will find in a typical MACD indicator.
ALERTS:
Not shown in the settings panel, but I have added alerts for EMA and MACD Crossovers so that you don’t have to sit in front of the charts or constantly check the price all day long.
If you don’t know how to set alerts in TradingView, then please Google it.
INDICATOR USAGE EXAMPLES:
This indicator can be used in intraday as well as in higher timeframes.
There are quite a few variations possible, I personally prefer to use the EMA crossovers in intraday (5m) and MACD on Daily timeframes.
This is just a matter of personal preference, some people might prefer using EMAs only or MACD only in all timeframes.
Here are my personal settings for the intraday 5-minute timeframe:
Turn on all the CPR pivots starting from Yearly all the way to Daily. You can turn on 6 hourly and 4 hourly as well if you want.
Hourly CPR is mostly used when the price is in a strong trend and you missed the entry and don’t know when to enter. Price will typically experience pullbacks towards the Hourly CPR, before resuming in the direction of the trend. That is your chance to hop onto the bandwagon.
For Intraday, I keep the Bands off. Just a personal preference here.
You can turn ON the Show CPR Labels , if you want.
Turn ON both the options in the EMA TREND section. You would want to see the EMA crossovers marked on the chart as well as the EMAs themselves, as the distance between the two EMAs will give you an idea about the strength of the trend.
Keep rest of the settings in the EMA section as default (you can change the colors if you wish). I keep the same EMAs as the ones kept in the MACD indicator. I like to keep things simple.
In the MACD MOMENTUM section, turn ON Mark MACD Histogram Peaks on Chart and all the other options turned OFF. Leave the other settings as default. By the way, these are the default settings of the standard MACD Indicator.
You can set up EMA Bullcross and Bearcross alarms if you like.
Before checking out the examples, remember one super simple rule:
SOME OF THE BEST TRENDING MOVES IN THE MARKET, BE IT INTRADAY OR OTHERWISE, ORIGINATE IN THE VICINITY OF A LARGER TIMEFRAME PIVOT/CPR.
Look for price settling above/below a pivot, and then a move away from the pivot in any direction is typically a trending move.
You can use hourly pivots or MACD Histogram peaks marked on the chart to enter an existing trend, or add to your positions.
Let’s have a look at a few recent intraday examples from the Crypto, Indian, and US equity markets.
I have added my comments in the charts to make you easily understand what is going on.
Understand that both, moving average crossover and MACD, will give out a lot of signals (chop) every day. But almost 70% of them are going to be fake signals. It is the signals that you get when the price is near a Pivot, that tend to convert into gorgeous trending moves that last.
BTC 5m Charts
NIFTY Futures 5m Charts (good intraday trends are hard to find here, as the market is very efficient)
TSLA 5m Charts
Some important points for using this indicator in higher timeframes:
For higher timeframes, my personal preference is to go with the MACD indicator. I personally find MACD to be lethal on daily and weekly timeframes, if you know how to use it well.
The default settings of the indicator are the settings I use for both, Daily and Weekly, timeframes. Additionally, I turn off the CPR labels.
In theory large trending moves still have a big probability to start near an important pivot level, however, in larger timeframes, trending moves can start from anywhere. They need not start in the vicinity of any important pivot (but they often do!).
Weekly pivots can act as great pullback levels when the price is in strong momentum, when trading on the daily timeframe.
Quarterly Pivots act as great pullback levels when the price is in strong momentum, when trading on the weekly timeframe.
BTC Weekly Chart
BTC Daily Chart
Nifty Weekly Chart
Nifty Daily Chart
NASDAQ Weekly Chart
NASDAQ Daily Chart
FINAL WORDS:
Please understand that I have Cherry Picked the examples to showcase the capability of the indicator and its usage.
DO NOT conflate the accuracy of examples with the accuracy of this indicator.
Biggest catch is the fact that this indicator, like every other indicator out there, will have whipsaws. Some I have also marked in the example charts.
You need to come up with your own technique to avoid whipsaws, one technique I have shared here…… big moves typically start near pivots.
Work on avoiding whipsaws and finding you own edge in the markets.
If you really want to learn how to use Pivots, read the book ’Secrets of a Pivot Boss’ . This book can change your life.
hector mena Breakout Trading with ATR, RSI and MA CrossTitle: Breakout Trading Strategy with ATR, RSI, and Moving Average Cross
Description (English):
This script combines key technical indicators—ATR (Average True Range), RSI (Relative Strength Index), and Moving Averages—to provide a comprehensive breakout trading strategy. It is designed to help traders identify significant breakout levels and confirm signals with momentum and trend analysis.
How It Works:
ATR for Breakout Levels:
The ATR is used to calculate dynamic breakout levels by adjusting the highest resistance and lowest support levels with a customizable multiplier. This ensures that breakout levels adapt to market volatility.
RSI for Momentum Confirmation:
The RSI identifies overbought and oversold conditions, providing an additional layer of confirmation for breakouts. A breakout accompanied by an RSI signal can indicate stronger momentum.
Moving Average Cross for Trend Validation:
Two simple moving averages (short-term and long-term) are included to validate the trend. A crossover suggests a potential change in trend, aligning with breakout signals.
Why Combine These Indicators?
The ATR ensures breakout levels are realistic and volatility-adjusted.
The RSI avoids false signals by confirming if the price has momentum during a breakout.
Moving Average crossovers add trend-following confirmation, helping traders align with market direction.
The combination provides a robust framework to filter out false signals and improve the reliability of trading decisions.
Key Features:
Breakout Levels: Upper and lower breakout levels dynamically calculated using ATR.
RSI Confirmation: Visual overbought (70) and oversold (30) levels and RSI plot.
Trend Validation: Short and long-term moving averages plotted on the chart with crossover signals.
Visual Alerts: Clear "BUY" and "SELL" labels for actionable signals.
Custom Alerts: Configurable alerts for breakouts and moving average crossovers.
How to Use It:
Adjust the parameters (ATR length, multiplier, RSI length, and moving averages) based on your trading strategy.
Look for "BUY" signals when:
Price breaks above the resistance level, and RSI indicates oversold conditions.
Moving averages cross bullishly.
Look for "SELL" signals when:
Price breaks below the support level, and RSI indicates overbought conditions.
Moving averages cross bearishly.
Use alerts for automated notifications about potential trades.
Notes:
This script is intended for educational purposes. Use it alongside proper risk management techniques and backtesting.
Always test in demo mode before applying it to live trading.
UM EMA SMA WMA HMA with Directional Color ChangeUM EMA SMA WMA HMA with Directional Color Change
Description:
This is a Swiss Army knife type of Moving Average tool. Select your favorite Moving Average type, EMA - Exponential Moving Average, SMA - Simple Moving Average, WMA - Weighted Moving Average, or HMA - Hull Moving Average. Then selection your number of periods. The MA line is green when trending higher and red when trending lower. The fill between price and the MA line matches the red/green of the direction.
Defaults and Configuration:
The default setting is 65 period and EMA. Line colors and optional fill colors are user-configurable.
Alerts:
An alert can be set on the MA for directional color changes (red to green, or green to red) Right click the indicator and select Add Alert. Then select Bullish or Bearish color change.
Suggested Uses:
Add this to any timeframe chart with your favorite Moving averages. A strategy I use frequently is to "stretch" the Moving average. For example if you like the 8 day moving average on the daily chart, try the 52 period Moving average on the hourly chart. (6.5 market hours per day * 8) By looking at smaller time frames with longer MAs you get smoother color transitions on the Moving average. Add multiple instances of the MA. I prefer to use a smaller quick MA with a longer MA that represents a longer time frame.
Another use case I also like is the color transition over a Moving Average crossover. While I do like the daily 2/6 and 8/3 moving average crossovers, red-to-green and green-to-red color transitions seem to work with less lag than the crossovers.
Suggested Settings:
Daily charts: 8 EMA
Hourly charts: 55 EMA
30 minute charts: 65 WMA. (I like this one for inverse ETFs)
3 minutes charts: 178 EMA and 233 EMA
I also like to round MA settings up or down to the nearest fibonacci number: 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, etc.
Envelope and Moving Average**Description:**
- This script creates an indicator that combines an envelope and a simple moving average (MA).
- The envelope is constructed using a specified length, percentage deviation, and source price (close by default).
- The moving average is calculated based on a specified length and source price.
**Inputs:**
1. Envelope:
- Length: Number of periods used for the envelope calculation (default is 20).
- Percentage Deviation: Percentage above and below the envelope basis (default is 10%).
- Source: The price used for the envelope calculation (default is close).
- Exponential MA: Option to use exponential moving average for the envelope basis (default is false).
2. Moving Average:
- Length: Number of periods used for the moving average calculation (default is 20).
- Source: The price used for the moving average calculation (default is close).
**Plotting:**
- The script plots the envelope basis, upper envelope line, and lower envelope line.
- The area between the upper and lower envelope lines is filled with a semi-transparent color for better visualization.
- The moving average is plotted on the chart with a specified color and line width.
**How to Use in a Strategy:**
1. **Envelope Crossovers:**
- Go Long (Buy): When the close price crosses above the upper envelope line.
- Go Short (Sell): When the close price crosses below the lower envelope line.
2. **Moving Average Crossovers:**
- Go Long (Buy): When the close price crosses above the moving average.
- Go Short (Sell): When the close price crosses below the moving average.
3. **Confirmation:**
- Consider additional confirmation signals or filters to improve the robustness of your strategy.
- For example, you might require a certain amount of price momentum or use other technical indicators in conjunction with envelope and moving average signals.
4. **Optimization:**
- Experiment with different parameter values (e.g., envelope length, percentage deviation, moving average length) to optimize the strategy for specific market conditions.
5. **Risk Management:**
- Implement proper risk management techniques, such as setting stop-loss orders and position sizing, to control risk.
Remember to thoroughly backtest any strategy before deploying it in a live trading environment. Additionally, consider the current market conditions and adapt your strategy accordingly.
Ingenious SMA CrossoverIntroduction
A popular use for moving averages is to develop simple trading systems based on moving average crossovers. A trading system using two moving averages would give a buy signal when the shorter (faster) moving average advances above the longer (slower) moving average. A sell signal would be given when the shorter moving average crosses below the longer moving average. The speed of the systems and the number of signals generated will depend on the period of the moving averages.
What is this tool?
This tool is a crossover system of two simple moving averages. I called it "Ingenious" because it uses a decision tree-based algorithm under the hood to find and plot the most profitable SMA combination.
It analyzes the range of periods between 4 to 45 and backtests each combination across the entire history of an instrument. If the more profitable periods were detected the indicator will switch periods of the moving averages to the found ones immediately.
NOTE : It does not change what has already been plotted.
Good luck!
Dynamic RSI Bollinger Bands with Waldo Cloud
TradingView Indicator Description: Dynamic RSI Bollinger Bands with Waldo Cloud
Title: Dynamic RSI Bollinger Bands with Waldo Cloud
Short Title: Dynamic RSI BB Waldo
Overview:
Introducing an experimental indicator, the Dynamic RSI Bollinger Bands with Waldo Cloud, designed for adventurous traders looking to explore new dimensions in technical analysis. This indicator overlays on your chart, providing a unique perspective by integrating the Relative Strength Index (RSI) with Bollinger Bands, creating a dynamic trading tool that adapts to market conditions through the lens of momentum and volatility.
What is it?
This innovative indicator combines the traditional Bollinger Bands with the RSI in a way that hasn't been commonly explored. Here's a breakdown:
RSI Integration: The RSI is calculated with customizable length settings, and its values are used not just for momentum analysis but as the basis for the Bollinger Bands. This means the position and width of the bands are directly influenced by the RSI, offering a visual representation of momentum within the context of price volatility.
Dynamic Bollinger Bands: Instead of using price directly, the Bollinger Bands are calculated using a scaled version of the RSI. This scaling is done to fit the RSI values into the price range, ensuring the bands are relevant to the actual price movement. The standard deviation for these bands is also scaled accordingly, providing a unique volatility measure that's momentum-driven.
Waldo Cloud: Named after a visual representation concept, the 'Waldo Cloud' refers to the colored area between the Bollinger Bands, which changes based on various conditions:
Purple when RSI is overbought.
Blue when RSI is oversold.
Green for bullish conditions, defined by the fast-moving average crossing above the slow one, RSI is bullish, and the price is above the slow MA.
Red for bearish conditions, when the fast MA crosses below the slow MA, the RSI is bearish, and the price is below the slow MA.
Gray for neutral market conditions.
Moving Averages: Two simple moving averages (Fast MA and Slow MA) are included, which can be toggled on or off, offering additional trend analysis through crossovers.
How to Use It:
Given its experimental nature, this indicator should be used with caution and in conjunction with other analysis methods:
Identifying Market Conditions: Use the color of the Waldo Cloud to gauge market sentiment. A green cloud might suggest a good time to consider long positions, while a red cloud could indicate potential shorting opportunities. Purple and blue clouds highlight extreme conditions that might precede reversals.
Volatility and Momentum: The dynamic nature of the Bollinger Bands based on RSI provides insight into how momentum is affecting price volatility. When the bands are wide, it might indicate high momentum and potential trend continuation or reversal, depending on the RSI's position relative to its overbought/oversold levels.
Trend Confirmation: The moving average crossovers can act as confirmation signals. For instance, a bullish crossover (fast MA over slow MA) within a green cloud might strengthen a buy signal, whereas a bearish crossover in a red cloud might reinforce a sell decision.
Customization: Adjust the RSI length, overbought/oversold levels, and moving average lengths to suit different trading styles or market conditions. Experiment with these settings to find what works best for your strategy.
Combining with Other Indicators: Since this is an experimental tool, it's advisable to use it alongside established indicators like traditional Bollinger Bands, MACD, or trend lines to validate signals.
Conclusion:
The Dynamic RSI Bollinger Bands with Waldo Cloud is an experimental venture into combining momentum with volatility visually and interactively. It's designed for traders who are open to exploring new methods of market analysis.
Remember, due to its experimental status, this indicator should be part of a broader trading strategy, and backtesting or paper trading is recommended before applying it in live trading scenarios. Keep an eye on how the market reacts to the signals provided by this indicator and always consider risk management practices.
RDBRB Strategy with Filters + Cooldowns + LabelsRDBRB Strategy with Filters + Cooldowns
This script implements the RDBRB (Rally-Drop-Base-Retest-Breakout) strategy, a classic price action setup designed to identify structured trade opportunities using volume, volatility bands, and trend alignment. It’s ideal for traders looking for clean, rule-based entries across any timeframe.
🧠 Core Components
Rally & Drop Detection
Identifies short-term momentum shifts using moving average crossovers:
✅ Ra = Rally (bullish crossover)
🔻 Dr = Drop (bearish crossunder)
Base Formation
A statistical base is defined using a moving average with a standard deviation envelope (Upper/Lower BB). This forms the foundation for breakout or retest setups.
Retest Zone (RT)
When price returns to the lower band (but stays below the base), it suggests a potential re-accumulation or reaction zone before a breakout.
Breakout Confirmation (BO)
A breakout is validated when:
Price crosses above the upper band
Volume exceeds the 20-bar average by a threshold multiplier
RSI is above a bullish momentum level
Price is trending above the longer-term EMA
⏱️ Smart Cooldown Logic
Each signal (Rally, Drop, Retest, Breakout) has an independent cooldown timer to prevent multiple triggers within a short range, filtering out noise and duplicate signals:
Customizable cooldown periods via input settings
Ensures signals are meaningful and not clustered
💡 Visual Markers
All signals are shown as small, color-coded labels:
Ra : Green label below bar
Dr : Red label above bar
RT : Yellow label below bar
BO : Green breakout label below bar
Bands and base are plotted for structure reference.
🛠️ Customizable Settings
Cooldown periods for each signal type
MA lengths, volume and RSI thresholds
Trend filter and base calculation inputs
This script is ideal for price action traders who want a clean, structured method to trade consolidations and trend continuations while avoiding over-signaling. Use it on any timeframe and combine with higher-timeframe confirmation for best results.
Multi-Symbol Trend DashboardMulti-Symbol Trend Dashboard - MA Cross Trend Monitor
Short Description
A customizable dashboard that displays trend direction across multiple symbols and timeframes using moving average crossovers.
Full Description
Overview
This Multi-Symbol Trend Dashboard allows you to monitor trend direction across 7 different symbols and 5 timeframes simultaneously in a single view. The dashboard uses moving average crossovers to determine trend direction, displaying bullish trends in green and bearish trends in red.
Key Features
Multi-Symbol Monitoring : Track up to 7 different trading instruments at once
Multi-Timeframe Analysis: View 5 different timeframes simultaneously for each instrument
Customizable Moving Averages: Choose between SMA, EMA, or WMA with adjustable periods
Visual Clarity: Color-coded cells provide immediate trend identification
Flexible Positioning: Place the dashboard anywhere on your chart
Customizable Appearance: Adjust sizes, colors, and text formatting
How It Works
The dashboard calculates a fast MA and slow MA for each symbol-timeframe combination. When the fast MA is above the slow MA, the cell shows green (bullish). When the fast MA is below the slow MA, the cell shows red (bearish).
Use Cases
Get a bird's-eye view of market trends across multiple instruments
Identify potential trading opportunities where multiple timeframes align
Monitor your watchlist without switching between charts
Spot divergences between related instruments
Track market breadth across sectors or related instruments
Notes and Limitations
Limited to 7 symbols and 5 timeframes due to TradingView's security request limits
Uses simple MA crossover as trend determination method
Dashboard is most effective when displayed on a dedicated chart
Performance may vary on lower-end devices due to multiple security requests
Settings Explanation
MA Settings: Configure the periods and types of moving averages
Display Settings: Adjust dashboard positioning and visual elements
Trading Instruments: Select which symbols to monitor (defaults to major forex pairs)
Timeframes: Choose which timeframes to display (default: M15, H1, H4, D1, W1)
Colors: Customize the color scheme for bullish/bearish indications and headers
This dashboard provides a straightforward way to maintain situational awareness across multiple markets and timeframes, helping traders identify potential setups and market conditions at a glance.
Dual Momentum OSCOverview:
Momentum OSC is a dual-layered momentum oscillator that blends multi-timeframe momentum readings with moving average crossovers for deeper insight into trend acceleration and exhaustion. Perfect for confirming trend strength or spotting early shifts in momentum.
Features:
✅ Two separate momentum streams with customizable timeframes
✅ Smoothing via moving averages for both momenta
✅ Cross-timeframe momentum structure for confirmation and divergence
✅ Color-coded areas for intuitive visual interpretation
✅ Optional crossover markers to signal bullish/bearish momentum shifts
How It Works:
The script calculates two momentum values by comparing current price sources against lagged values across separate timeframes. Each is smoothed with a moving average to filter noise. The difference between momentum and its moving average forms a core component of trend strength confirmation. Optional visual circles mark bullish or bearish crossovers.
Customizable Inputs:
Timeframes, sources, lengths, and MA periods for both momentum streams
Toggle to display momentum cross signals (circles)
Works on any asset or timeframe
MTF Signal XpertMTF Signal Xpert – Detailed Description
Overview:
MTF Signal Xpert is a proprietary, open‑source trading signal indicator that fuses multiple technical analysis methods into one cohesive strategy. Developed after rigorous backtesting and extensive research, this advanced tool is designed to deliver clear BUY and SELL signals by analyzing trend, momentum, and volatility across various timeframes. Its integrated approach not only enhances signal reliability but also incorporates dynamic risk management, helping traders protect their capital while navigating complex market conditions.
Detailed Explanation of How It Works:
Trend Detection via Moving Averages
Dual Moving Averages:
MTF Signal Xpert computes two moving averages—a fast MA and a slow MA—with the flexibility to choose from Simple (SMA), Exponential (EMA), or Hull (HMA) methods. This dual-MA system helps identify the prevailing market trend by contrasting short-term momentum with longer-term trends.
Crossover Logic:
A BUY signal is initiated when the fast MA crosses above the slow MA, coupled with the condition that the current price is above the lower Bollinger Band. This suggests that the market may be emerging from a lower price region. Conversely, a SELL signal is generated when the fast MA crosses below the slow MA and the price is below the upper Bollinger Band, indicating potential bearish pressure.
Recent Crossover Confirmation:
To ensure that signals reflect current market dynamics, the script tracks the number of bars since the moving average crossover event. Only crossovers that occur within a user-defined “candle confirmation” period are considered, which helps filter out outdated signals and improves overall signal accuracy.
Volatility and Price Extremes with Bollinger Bands
Calculation of Bands:
Bollinger Bands are calculated using a 20‑period simple moving average as the central basis, with the upper and lower bands derived from a standard deviation multiplier. This creates dynamic boundaries that adjust according to recent market volatility.
Signal Reinforcement:
For BUY signals, the condition that the price is above the lower Bollinger Band suggests an undervalued market condition, while for SELL signals, the price falling below the upper Bollinger Band reinforces the bearish bias. This volatility context adds depth to the moving average crossover signals.
Momentum Confirmation Using Multiple Oscillators
RSI (Relative Strength Index):
The RSI is computed over 14 periods to determine if the market is in an overbought or oversold state. Only readings within an optimal range (defined by user inputs) validate the signal, ensuring that entries are made during balanced conditions.
MACD (Moving Average Convergence Divergence):
The MACD line is compared with its signal line to assess momentum. A bullish scenario is confirmed when the MACD line is above the signal line, while a bearish scenario is indicated when it is below, thus adding another layer of confirmation.
Awesome Oscillator (AO):
The AO measures the difference between short-term and long-term simple moving averages of the median price. Positive AO values support BUY signals, while negative values back SELL signals, offering additional momentum insight.
ADX (Average Directional Index):
The ADX quantifies trend strength. MTF Signal Xpert only considers signals when the ADX value exceeds a specified threshold, ensuring that trades are taken in strongly trending markets.
Optional Stochastic Oscillator:
An optional stochastic oscillator filter can be enabled to further refine signals. It checks for overbought conditions (supporting SELL signals) or oversold conditions (supporting BUY signals), thus reducing ambiguity.
Multi-Timeframe Verification
Higher Timeframe Filter:
To align short-term signals with broader market trends, the script calculates an EMA on a higher timeframe as specified by the user. This multi-timeframe approach helps ensure that signals on the primary chart are consistent with the overall trend, thereby reducing false signals.
Dynamic Risk Management with ATR
ATR-Based Calculations:
The Average True Range (ATR) is used to measure current market volatility. This value is multiplied by a user-defined factor to dynamically determine stop loss (SL) and take profit (TP) levels, adapting to changing market conditions.
Visual SL/TP Markers:
The calculated SL and TP levels are plotted on the chart as distinct colored dots, enabling traders to quickly identify recommended exit points.
Optional Trailing Stop:
An optional trailing stop feature is available, which adjusts the stop loss as the trade moves favorably, helping to lock in profits while protecting against sudden reversals.
Risk/Reward Ratio Calculation:
MTF Signal Xpert computes a risk/reward ratio based on the dynamic SL and TP levels. This quantitative measure allows traders to assess whether the potential reward justifies the risk associated with a trade.
Condition Weighting and Signal Scoring
Binary Condition Checks:
Each technical condition—ranging from moving average crossovers, Bollinger Band positioning, and RSI range to MACD, AO, ADX, and volume filters—is assigned a binary score (1 if met, 0 if not).
Cumulative Scoring:
These individual scores are summed to generate cumulative bullish and bearish scores, quantifying the overall strength of the signal and providing traders with an objective measure of its viability.
Detailed Signal Explanation:
A comprehensive explanation string is generated, outlining which conditions contributed to the current BUY or SELL signal. This explanation is displayed on an on‑chart dashboard, offering transparency and clarity into the signal generation process.
On-Chart Visualizations and Debug Information
Chart Elements:
The indicator plots all key components—moving averages, Bollinger Bands, SL and TP markers—directly on the chart, providing a clear visual framework for understanding market conditions.
Combined Dashboard:
A dedicated dashboard displays key metrics such as RSI, ADX, and the bullish/bearish scores, alongside a detailed explanation of the current signal. This consolidated view allows traders to quickly grasp the underlying logic.
Debug Table (Optional):
For advanced users, an optional debug table is available. This table breaks down each individual condition, indicating which criteria were met or not met, thus aiding in further analysis and strategy refinement.
Mashup Justification and Originality
MTF Signal Xpert is more than just an aggregation of existing indicators—it is an original synthesis designed to address real-world trading complexities. Here’s how its components work together:
Integrated Trend, Volatility, and Momentum Analysis:
By combining moving averages, Bollinger Bands, and multiple oscillators (RSI, MACD, AO, ADX, and an optional stochastic), the indicator captures diverse market dynamics. Each component reinforces the others, reducing noise and filtering out false signals.
Multi-Timeframe Analysis:
The inclusion of a higher timeframe filter aligns short-term signals with longer-term trends, enhancing overall reliability and reducing the potential for contradictory signals.
Adaptive Risk Management:
Dynamic stop loss and take profit levels, determined using ATR, ensure that the risk management strategy adapts to current market conditions. The optional trailing stop further refines this approach, protecting profits as the market evolves.
Quantitative Signal Scoring:
The condition weighting system provides an objective measure of signal strength, giving traders clear insight into how each technical component contributes to the final decision.
How to Use MTF Signal Xpert:
Input Customization:
Adjust the moving average type and period settings, ATR multipliers, and oscillator thresholds to align with your trading style and the specific market conditions.
Enable or disable the optional stochastic oscillator and trailing stop based on your preference.
Interpreting the Signals:
When a BUY or SELL signal appears, refer to the on‑chart dashboard, which displays key metrics (e.g., RSI, ADX, bullish/bearish scores) along with a detailed breakdown of the conditions that triggered the signal.
Review the SL and TP markers on the chart to understand the associated risk/reward setup.
Risk Management:
Use the dynamically calculated stop loss and take profit levels as guidelines for setting your exit points.
Evaluate the provided risk/reward ratio to ensure that the potential reward justifies the risk before entering a trade.
Debugging and Verification:
Advanced users can enable the debug table to see a condition-by-condition breakdown of the signal generation process, helping refine the strategy and deepen understanding of market dynamics.
Disclaimer:
MTF Signal Xpert is intended for educational and analytical purposes only. Although it is based on robust technical analysis methods and has undergone extensive backtesting, past performance is not indicative of future results. Traders should employ proper risk management and adjust the settings to suit their financial circumstances and risk tolerance.
MTF Signal Xpert represents a comprehensive, original approach to trading signal generation. By blending trend detection, volatility assessment, momentum analysis, multi-timeframe alignment, and adaptive risk management into one integrated system, it provides traders with actionable signals and the transparency needed to understand the logic behind them.
Moving Average Multitool CrossoverAs per request, this is a moving average crossover version of my original moving average multitool script .
It allows you to easily access and switch between different types of moving averages, without having to continuously add and remove different moving averages from your chart. This should make backtesting moving average crossovers much, much more easier. It also has the option to show buy and sell signals for the crossovers of the chosen moving averages.
It contains the following moving averages:
Exponential Moving Average (EMA)
Simple Moving Average (SMA)
Weighted Moving Average (WMA)
Double Exponential Moving Average (DEMA)
Triple Exponential Moving Average (TEMA)
Triangular Moving Average (TMA)
Volume-Weighted Moving Average (VWMA)
Smoothed Moving Average (SMMA)
Hull Moving Average (HMA)
Least Squares Moving Average (LSMA)
Kijun-Sen line from the Ichimoku Kinko-Hyo system (Kijun)
McGinley Dynamic (MD)
Rolling Moving Average (RMA)
Jurik Moving Average (JMA)
Arnaud Legoux Moving Average (ALMA)
Vector Autoregression Moving Average (VAR)
Welles Wilder Moving Average (WWMA)
Sine Weighted Moving Average (SWMA)
Leo Moving Average (LMA)
Variable Index Dynamic Average (VIDYA)
Fractal Adaptive Moving Average (FRAMA)
Variable Moving Average (VAR)
Geometric Mean Moving Average (GMMA)
Corrective Moving Average (CMA)
Moving Median (MM)
Quick Moving Average (QMA)
Kaufman's Adaptive Moving Average (KAMA)
Volatility-Adjusted Moving Average (VAMA)
Modular Filter (MF)
HMA-Crossover AlertsThis simple script plots bullish and bearish Hull Moving Average Crossovers and fires Alerts when long or short conditions are met.
Normalized Volume Rate of ChangeThis indicator is designed to help traders gauge changes in volume dynamics and identify potential shifts in buying or selling pressure. By normalizing the volume rate of change and comparing it to moving averages of itself, it offers valuable insights into market trends and can assist in making informed trading decisions.
Calculation:
The indicator calculates the Volume Rate of Change (VROC) by measuring the percentage change in volume over a specified length. This calculation provides a relative measure of how quickly the volume is increasing or decreasing. It then normalizes the VROC to a range of -1 to +1 by scaling it based on the highest and lowest values observed within the specified length. This normalization allows for easy comparison of the current VROC value with historical levels, enabling traders to assess the intensity of volume fluctuations.
Interpretation:
The main plot of the indicator displays the normalized VROC values as columns. The color of each column provides valuable information about the relationship between the VROC and the moving averages. Lime-colored columns indicate that the VROC is above both moving averages, suggesting increased buying pressure and potential bullish sentiment. Conversely, fuchsia-colored columns indicate that the VROC is below both moving averages, suggesting increased selling pressure and potential bearish sentiment. Yellow-colored columns indicate that the VROC is between the two moving averages, reflecting a period of consolidation or indecision in the market.
To further enhance interpretation, the indicator includes two moving averages. The Aqua line represents the faster moving average (MA1), and the Orange line represents the slower moving average (MA2). These moving averages provide additional context by smoothing out the VROC values and highlighting the overall trend. Traders can observe the interaction between the moving averages and the VROC to identify potential crossovers and assess the strength of trend reversals or continuations.
Colors:
-- Lime : The lime color is used to represent high volume rate of change above both moving averages. This color indicates a potentially bullish market sentiment, suggesting that buyers are dominant.
-- Fuchsia : The fuchsia color is used to represent low volume rate of change below both moving averages. This color indicates a potentially bearish market sentiment, suggesting that sellers are dominant.
-- Yellow : The yellow color is used to represent the volume rate of change between the two moving averages. This color reflects a transitional phase where neither buyers nor sellers have a clear advantage, signaling a period of consolidation or indecision in the market.
To provide additional visual cues for potential trade signals, the indicator includes lime-colored arrows below the price chart when there is a crossover upwards (MA1 crossing above MA2). This lime arrow indicates a potential bullish signal, suggesting a favorable time to consider long positions. Similarly, fuchsia-colored arrows are displayed above the price chart when there is a crossover downwards (MA1 crossing below MA2), signaling a potential bearish signal and suggesting a favorable time to consider short positions.
Applications:
This indicator offers various applications in trading strategies, including:
-- Trend Identification : By observing the relationship between the normalized VROC and the moving averages, traders can identify potential shifts in market trends. Lime-colored columns above both moving averages indicate a strong bullish trend, suggesting an opportunity to capitalize on upward price movements. Conversely, fuchsia-colored columns below both moving averages indicate a strong bearish trend, suggesting an opportunity to profit from downward price movements. Yellow-colored columns between the moving averages indicate a period of consolidation or uncertainty, signaling a potential trend reversal or continuation.
-- Confirmation of Price Moves : The indicator's ability to reflect volume dynamics in relation to the moving averages can help traders validate price moves. When significant price movements are accompanied by lime-colored columns (indicating high volume rate of change above both moving averages), it adds confirmation to the bullish sentiment. Similarly, fuchsia-colored columns accompanying downward price movements validate the bearish sentiment. This confirmation can enhance traders' confidence in the reliability of price moves.
-- Trade Timing : The indicator's moving average crossovers and the presence of arrows provide timing signals for trade entries and exits. Lime arrows appearing below the price chart signal potential long entry opportunities, indicating a bullish market sentiment. Conversely, fuchsia arrows appearing above the price chart suggest potential short entry opportunities, indicating a bearish market sentiment. These signals can be used in conjunction with other technical analysis tools to improve trade timing and increase the probability of successful trades.
Parameter Adjustments:
Traders can adjust the length of the VROC and the moving averages according to their trading preferences and timeframes. Longer VROC lengths provide a broader view of volume dynamics over an extended period, making it suitable for assessing long-term trends. Shorter VROC lengths offer a more sensitive measure of recent volume changes, making it suitable for shorter-term analysis. Similarly, adjusting the lengths of the moving averages can help adapt the indicator to different market conditions and trading styles.
Limitations:
While the indicator provides valuable insights, it has some limitations that traders should be aware of:
-- False Signals : Like any technical indicator, false signals can occur. During periods of low liquidity or in choppy markets, the indicator may generate misleading signals. It is essential to consider other indicators, price action, and fundamental analysis to confirm the signals before taking any trading actions.
-- Lagging Nature : Moving averages inherently lag behind the price action and volume changes. As a result, there may be a delay in the generation of signals and capturing trend reversals. Traders should exercise patience and avoid solely relying on this indicator for immediate trade decisions. Combining it with other indicators and tools can provide a more comprehensive picture of market conditions.
In conclusion, this indicator offers valuable insights into volume dynamics and trend analysis. By comparing the normalized VROC with moving averages, traders can identify shifts in buying or selling pressure, validate price moves, and improve trade timing. However, it is important to consider its limitations and use it in conjunction with other technical analysis tools to form a well-rounded trading strategy. Additionally, thorough testing, experimentation, and customization of the indicator's parameters are recommended to align it with individual trading preferences and market conditions.
CrossFire -=[ CryptDollar ]=-FEATURES
DO NOT USE WITHOUT READING ALL OF THIS!
Intended to be USED AGAINST Heikin Ashi Averaging Trend Candles for LEGITIMATE ‘AVERAGING’ Trend Recognition and analysis and it is a legitimate mathematical protocol using averages.
NOTE:
THIS IS NOT A simple “ENTER / EXIT" Type Indicator!!! BE CLEAR ABOUT THAT!!
THIS IS A AVERAGE TREND ANALYSIS and Support & Resistance type of indicator
ADDITIONAL NOTE:
This EMA CROSSING signal indicator DOES NOT REPRINT after the EMA CROSS CONFIRMATION, (Candle Close)!!
It may flicker during the confirmation process, which ALL indicator formulas do.
PROOF OF THIS is that the Yellow and Light Blue EMAs are IN FULL VIEW where the indications occur.
What is a Moving Average Crossover Confirmation??
It is when the selected Moving Averages fully cross each other upon candle close.
It is also important to note:
The LOWER the Timeframe, the more 'NOISE to signal' ratio you will get with this and ANY other indicator.
The HIGHER the Timeframe, the more 'SIGNAL to noise' ratio you will get with this and ANY other indicator.
To attain more reliable Trade Planning signals; simply look for signals on the higher TFs, and THEN use the lower, faster-pivoting TFs to limit into position.
You should only execute moves AFTER you 'APPROPRIATELY PLAN YOUR TRADE' and decide to 'TRADE YOUR PLAN!'
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What is included with this EMA Crossing Indicator:
Dynamic SR (Horizontal lines of Support and Resistance (which is analyzed against recent average price action). An optional VWAP is included as well
ALL of these pop-up indication features can be turned Off or On in settings panel:
Also, it is very important to select the dots next to the indicator name on your chart; scroll the drop menu go to "Visibility" > "Bring to Front." so you can see the 2 and 6 EMAs on top of the Heikin Ashi AVERAGING candles.
AGAIN, this indicator is based off a known and well established Heikin Ashi EMA Crossing Swing Trading Strategy and is optimized with the use of Heikin Ashi AVERAGING Candles.
This contains all of the EMAs related a 2-6-13 Heikin Ashi AVERAGE Trading Strategy. The original strategy for traditional markets used the 17 EMA. But in crypto, I've found that the 13 EMA at least 'seems' to be more relative and consequential as a trend change 'strength' indication.
- Includes alerts with "CROSS" indications for the 2 & 6 EMA crossover points.*
- ALWAYS check for Trend & Price Support or Resistance (SR) ALONG YOUR TRADE PATH, BEFORE planning your Trade.
- DO NOT simply enter trades based on the Cross signals, as these are mere indications of directional change, and make sure you have at least a single candle close confirmation before taking it seriously.
- Along with that, there are certain sets of SMAs (21, 50, & 200) that are universally used by famed rock star traders, for both scalping and swing trades, which can be enabled and disabled in the Style Panel Settings.
- The optional ARROWS are additional indications for when the 13 EMA , 21 SMA , 50 SMA , and 200 SMA are crossed up or down.
Each EMA and SMA has its own alert that you can individually set, along with the primary "CROSS" indication alerts.
* Special note regarding the visual indications of the 13 EMA and the 21 SMA
If an arrow appears with "13-21" above or below it, that is because these moving averages are so close that
for visual notification purposes there was a visual layering issue whenever both of these MAs triggered on same candle.
This compensation for the visual indication has no effect on the individual MA's Alert settings.
- ALL EMAs and SMAs are customizable if the defaults are not to your liking, BUT understand that any EMA and SMA assignment changes will divert away from the strategy for which this indicator was designed.
If you change from the default moving average assignments in the input settings, your changes will unfortunately not be reflected in the "labeling" on the chart or in alerts)!!
- All optional are in the settings panel, and all setting listings are easily understandable as to what they are
- I was finally able to edit the script to where the labels are not obnoxious on the chart!!!
- As with all my indicators so far; I like to include the optional light-white Daily VWAP plot line to save adding an extra indicator if you like to follow the VWAP , as I do.
- If your chart seems noisy with everything turned on, you can always disable any of these features that you find yourself not using as a visual reference and then "Save as default"
Best Applied to Higher Timeframes
With ALL Default “Noisy” Visual Indications Enabled:
With Only the Visible Primary Cross Indications Enabled:
Win-Loss Streak PlotterWin-Loss Streak Plotter
This indicator tracks the win/loss streaks of moving average crossovers (using simple moving averages for illustration purposes). It calculates the price change after each crossover, marking each as a win (green) or loss (red). The win rate is shown separately.
Inputs:
Source: Price series (default: open)
Fast MA: Fast moving average (default: open)
Slow MA: Slow moving average (default: open)
Total Crosses to Analyze: Number of crossovers to track
Crosses per Row: Number of crossovers per row in the table
Output:
A table displays each crossover’s result (win/loss).
A separate win rate table shows the percentage of wins.
Suggestions are always welcomed!
US30 Challenge ComplementPurpose of the Script
This script is designed to analyze bullish and bearish engulfing patterns on the US30 index. It combines moving averages (MA and EMA) on both daily and hourly charts to detect crossovers, evaluates engulfing candlestick patterns, and adds additional conditions based on the size of candlestick wicks. The script provides visual feedback by coloring bars and plotting flags when certain conditions are met.
Explanation of the Key Features
User Input Parameters:
The script allows users to customize the period and color of both a simple moving average (SMA) and an exponential moving average (EMA). This flexibility enables users to adapt the moving average settings to their preferred strategy.
Moving Averages (MA and EMA):
Two key moving averages are calculated:
A simple moving average (SMA) with a period of 18 for both daily and hourly timeframes.
An exponential moving average (EMA) with a period of 8 for both daily and hourly timeframes.
These moving averages are used to detect whether the EMA is above or below the SMA in both the daily and hourly charts, providing trend direction insights.
Engulfing Patterns:
The script detects bullish and bearish engulfing patterns across multiple candlesticks.
Bullish Engulfing: Occurs when a green candlestick (closing higher than it opens) completely engulfs the body of the previous red candlestick.
Bearish Engulfing: Occurs when a red candlestick (closing lower than it opens) completely engulfs the body of the previous green candlestick.
The script detects these patterns not only for a single previous candle but also up to three previous candles, making it more versatile in recognizing different engulfing scenarios.
A percentage threshold is introduced to ensure that the engulfing candles meet a minimum size requirement, which can be customized by the user.
Cross-Detection on Multiple Timeframes:
The script checks whether the EMA is above or below the SMA on both daily and hourly charts.
This crossover is critical for confirming bullish or bearish conditions. If the EMA is below the SMA on the hourly chart, combined with a bullish engulfing pattern, it suggests a potential bullish reversal. Conversely, if the EMA is above the SMA with a bearish engulfing pattern, it signals a potential bearish reversal.
Candlestick Size and Wick Filters:
The script includes functions to filter candlesticks based on their wick sizes.
Bullish Wick Filter: Ensures that the upper wick of a bullish candle is not too large compared to the body.
Bearish Wick Filter: Ensures that the lower wick of a bearish candle is not too large compared to the body.
These filters help confirm strong candlesticks, reducing noise from candles with long wicks that might indicate indecision.
Visual Cues (Bar Coloring and Flags):
The script colors bars green if bullish engulfing conditions are met and red if bearish engulfing conditions are met. This provides an immediate visual indication of potential reversal points.
It also plots flags above bullish candlesticks and below bearish candlesticks if they have favorable wick characteristics. This adds an extra layer of confirmation for identifying stronger candles.
How to Use the Script
Adjust Parameters:
Before using the script, traders can customize the moving average periods, colors, and the percentage threshold for the engulfing candlesticks. This allows users to fine-tune the script to different timeframes and market conditions.
Engulfing Pattern Detection:
Traders can rely on the script to automatically detect and highlight bullish and bearish engulfing patterns, making it easier to spot potential reversal points. The script considers both single and multi-candlestick engulfing patterns, adding robustness to its detection logic.
Cross-Verification with Moving Averages:
The script adds a layer of confirmation by checking the relationship between the EMA and SMA. Traders can look for alignment between the moving averages and the engulfing patterns to increase the likelihood of successful trades.
Filter Candles Based on Wick Size:
Traders can use the additional wick filters to focus on stronger, more decisive candles. Flags are plotted on these candles, making them easier to identify.
Differences from Other Scripts
Multi-Candle Engulfing Detection: The script detects engulfing patterns over multiple previous candles (up to three), which is not commonly found in most scripts.
Customizable Engulfing Size: The user can set a minimum size threshold for engulfing candles, providing greater control over the pattern detection.
Wick Filters: The inclusion of filters to check for wick size makes this script more precise in identifying strong engulfing candles, reducing false signals from indecisive candles with large wicks.
EMA and SMA Crossover Integration: By integrating moving average crossovers, the script provides additional trend confirmation, increasing the reliability of the engulfing signals.
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Propósito del Script
Este script está diseñado para analizar patrones de envolvente alcista y bajista en el índice US30. Combina medias móviles (MA y EMA) en gráficos diarios y horarios para detectar cruces, evalúa patrones de velas envolventes y añade condiciones adicionales basadas en el tamaño de las mechas. El script ofrece retroalimentación visual coloreando barras y trazando banderas cuando se cumplen ciertas condiciones.
Explicación de las Características Clave
Parámetros de Entrada del Usuario:
El script permite personalizar el período y el color tanto de una media móvil simple (SMA) como de una media móvil exponencial (EMA), lo que permite a los usuarios ajustar las configuraciones según su estrategia.
Medias Móviles (MA y EMA):
Dos medias móviles clave se calculan:
Una media móvil simple (SMA) con un período de 18 tanto para los marcos de tiempo diarios como horarios.
Una media móvil exponencial (EMA) con un período de 8 tanto para los marcos de tiempo diarios como horarios.
Patrones Envolventes:
El script detecta patrones de envolvente alcista y bajista en múltiples velas.
Se introduce un umbral porcentual que garantiza que las velas envolventes tengan un tamaño mínimo, personalizable por el usuario.
Detección de Cruces en Múltiples Marcos Temporales:
El script verifica si la EMA está por encima o por debajo de la SMA en gráficos diarios y horarios, lo que ayuda a confirmar las condiciones de tendencia.
Filtros de Tamaño de Mecha:
El script incluye funciones para filtrar velas según el tamaño de sus mechas, lo que ayuda a identificar velas más fuertes y decisivas.
Indicadores Visuales:
El script colorea las barras en verde si se cumplen las condiciones de envolvente alcista y en rojo si se cumplen las de envolvente bajista. También traza banderas para indicar velas con mechas favorables.
Cómo usar el Script
Ajustar Parámetros.
Detección de Patrones Envolventes.
Verificación con Medias Móviles.
Filtrar Velas Según el Tamaño de Mecha.
Diferencias con Otros Scripts
Detección Multi-Velas de Envolventes.
Tamaño Personalizable de Envolventes.
Filtros de Mechas.
Integración de Cruces de EMA y SMA.
Amplitude [Anan]The Amplitude indicator calculates and visualizes both the amplitude and cumulative amplitude of price movements, providing traders with insights into price volatility and trend strength. By distinguishing between positive and negative amplitude movements, this indicator aids in identifying bullish and bearish sentiments, potential reversal points, and confirming trend directions.
█ Main Formulas
‣ Amplitude = High - Low
‣ Cumulative Amplitude = sum of Amplitude over the specified lookback period
‣ Percentage Amplitude = (Amplitude / Open) × 100%
High: Candle high (or highest high when lookback > 1)
Low: Candle low (or lowest low when lookback > 1)
Open: Open price of the first candle in the lookback period
█ Key Features
✦Dual Amplitude Calculations:
Amplitude: Reflects price range and direction over a short-term period.
Cumulative Amplitude: Aggregates amplitude over a longer period for broader trend analysis.
✦Customizable Parameters: Adjust lookback periods, smoothing options, moving averages and Alerts.
✦Direction Separation: Distinguish between positive and negative amplitude movements to identify market sentiment.
✦Flexible Visualization: Customizable colors and plot styles for enhanced chart readability.
✦Alert System: Generate signals based on amplitude direction and moving average crossovers
█ How to Use and Interpret
✦Understanding Amplitude and Cumulative Amplitude:
‣Amplitude: Measures the price range (high - low) over a specified short-term period.
‣Cumulative Amplitude: Aggregates amplitude over a defined longer-term period.
‣Percentage Representation: shows amplitude relative to the open price from `amp_length` bars ago, providing a normalized view.
‣Interpretation:
Large Amplitude Values: Indicate high volatility.
Small Amplitude Values: Indicate low volatility.
✦Trend Identification:
‣Uptrend: Consistently positive amplitudes and upward-moving averages.
‣Downtrend: Consistently negative amplitudes and downward-moving averages.
✦Overbought/Oversold Conditions:
‣High Positive Amplitude: May indicate overbought conditions and potential reversals.
‣High Negative Amplitude: May indicate oversold conditions and potential reversals.
✦Volatility Analysis:
‣High Amplitude Values: Suggest increased market volatility.
‣Low Amplitude Values: Suggest reduced market volatility.
✦Signal Confirmation:
‣Moving Average Crossovers: Confirm the strength and direction of trends, aiding in informed trading decisions.
✦Trading Strategies:
‣ Breakout Trading: Large increases in amplitude can signal potential breakouts.
‣ Mean Reversion: Extreme amplitude values may indicate upcoming price corrections.
‣ Volatility-Based Strategies: Adjust position sizes or trading frequency based on amplitude magnitudes.
‣ Multi-Timeframe Analysis: Compare amplitudes across different timeframes for a comprehensive market view.
█ Customization Tips
‣ Lookback Periods: Experiment with different periods to suit your trading style and asset characteristics.
‣ Smoothing Settings: Adjust to balance responsiveness and noise reduction.
‣ Percentage Amplitude: Use for normalized comparisons across different price levels.
Major and Minor Trend Indicator by Nikhil34a V 2.2Title: Major and Minor Trend Indicator by Nikhil34a V 2.2
Description:
The Major and Minor Trend Indicator v2.2 is a comprehensive technical analysis script designed for use with the TradingView platform. This powerful tool is developed in Pine Script version 5 and helps traders identify potential buying and selling opportunities in the stock market.
Features:
SMA Trend Analysis: The script calculates two Simple Moving Averages (SMAs) with user-defined lengths for major and minor trends. It displays these SMAs on the chart, allowing traders to visualize the prevailing trends easily.
Surge Detection: The indicator can detect buying and selling surges based on specific conditions, such as volume, RSI, MACD, and stochastic indicators. Both Buying and Selling surges are marked in black on the chart.
Option Buy Zone Detection: The script identifies the option buy zone based on SMA crossovers, RSI, and MACD values. The buy zone is categorized as "CE Zone" or "PE Zone" and displayed in the table along with the trigger time.
Two-Day High and Low Range: The script calculates the highest high and lowest low of the previous two trading days and plots them on the chart. The area between these points is shaded in semi-transparent green and red colors.
Crossover Analysis: The script analyzes moving average crossovers on multiple timeframes (2-minute, 3-minute, and 5-minute) and displays buy and sell signals accordingly.
Trend Identification: The script identifies the major and minor trends as either bullish or bearish, providing valuable insights into the overall market sentiment.
Usage:
Customize Major and Minor SMA Periods: Adjust the lengths of major and minor SMAs through input parameters to suit your trading preferences.
Enable/Disable Moving Averages: Choose which SMAs to display on the chart by toggling the "showXMA" input options.
Set Surge and Option Buy Zone Thresholds: Modify the surgeThreshold, volumeThreshold, RSIThreshold, and StochThreshold inputs to refine the surge and buy zone detection.
Analyze Crossover Signals: Monitor the crossover signals in the table, categorized by timeframes (2-minute, 3-minute, and 5-minute).
Explore Market Bias and Distance to 2-Day High/Low: The table provides information on market bias, current price movement relative to the previous two-day high and low, and the option buy zone status.
Additional Use Cases:
Surge Indicator:
The script includes a Surge Indicator that detects sudden buying or selling surges in the market. When a buying surge is identified, the "BSurge" label will appear below the corresponding candle with black text on a white background. Similarly, a selling surge will display the "SSurge" label in white text on a black background. These indicators help traders quickly spot strong buying or selling activities that may influence their trading decisions. These surges can be used to identify sudden premium dump zones.
Option Buy Zone:
The Option Buy Zone is an essential feature that identifies potential zones for buying call options (CE Zone) or put options (PE Zone) based on specific technical conditions. The indicator evaluates SMA crossovers, RSI, and MACD values to determine the current market sentiment. When the option buy zone is triggered, the script will display the respective zone ("CE Zone" or "PE Zone") in the table, highlighted with a white background. Additionally, the time when the buy zone was triggered will be shown under the "Option Buy Zone Trigger Time" column.
Price Movement Relative to 2-Day High/Low:
The script calculates the highest high and lowest low of the previous two trading days (high2DaysAgo and low2DaysAgo) and plots these points on the chart. The area between these two points is shaded in semi-transparent green and red colors. The green region indicates the price range between the highpricetoconsider (highest high of the previous two days) and the lower value between highPreviousDay and high2DaysAgo. Similarly, the red region represents the price range between the lowpricetoconsider (lowest low of the previous two days) and the higher value between lowPreviousDay and low2DaysAgo.
Entry Time and Current Zone:
The script identifies potential entry times for trades within the option buy zone. When a valid buy zone trigger occurs, the script calculates the entryTime by adding the durationInMinutes (user-defined) to the startTime. The entryTime will be displayed in the "Entry Time" column of the table. Depending on the comparison between optionbuyzonetriggertime and entryTime, the background color of the entry time will change. If optionbuyzonetriggertime is greater than entryTime, the background color will be yellow, indicating that a new trigger has occurred before the specified duration. Otherwise, the background color will be green, suggesting that the entry time is still within the defined duration.
Current Zone Indicator:
The script further categorizes the current zone as either "CE Zone" (call option zone) or "PE Zone" (put option zone). When the market is trending upwards and the minor SMA is above the major SMA, the currentZone will be set to "CE Zone." Conversely, when the market is trending downwards and the minor SMA is below the major SMA, the currentZone will be "PE Zone." This information is displayed in the "Current Zone" column of the table.
These additional use cases empower traders with valuable insights into market trends, buying and selling surges, option buy zones, and potential entry times. Traders can combine this information with their analysis and risk management strategies to make informed and confident trading decisions.
Note:
The script is optimized for identifying trends and potential trade opportunities. It is crucial to perform additional analysis and risk management before executing any trades based on the provided signals.
Happy Trading!
Weight Gain 4000 - (Adjustable Volume Weighted MA) - [mutantdog]Short Version:
This is a fairly self-contained system based upon a moving average crossover with several unique features. The most significant of these is the adjustable volume weighting system, allowing for transformations between standard and weighted versions of each included MA. With this feature it is possible to apply partial weighting which can help to improve responsiveness without dramatically altering shape. Included types are SMA, EMA, WMA, RMA, hSMA, DEMA and TEMA. Potentially more will be added in future (check updates below).
In addition there are a selection of alternative 'weighted' inputs, a pair of Bollinger-style deviation bands, a separate price tracker and a bunch of alert presets.
This can be used out-of-the-box or tweaked in multiple ways for unusual results. Default settings are a basic 8/21 EMA cross with partial volume weighting. Dev bands apply to MA2 and are based upon the type and the volume weighting. For standard Bollinger bands use SMA with length 20 and try adding a small amount of volume weighting.
A more detailed breakdown of the functionality follows.
Long Version:
ADJUSTABLE VOLUME WEIGHTING
In principle any moving average should have a volume weighted analogue, the standard VWMA is just an SMA with volume weighting for example. Actually, we can consider the SMA to be a special case where volume is a constant 1 per bar (the value is somewhat arbitrary, the important part is that it's constant). Similar principles apply to the 'elastic' EVWMA which is the volume weighted analogue of an RMA. In any case though, where we have standard and weighted variants it is possible to transform one into the other by gradually increasing or decreasing the weighting, which forms the basis of this system. This is not just a simple multiplier however, that would not work due to the relative proportions being the same when set at any non zero value. In order to create a meaningful transformation we need to use an exponent instead, eg: volume^x , where x is a variable determined in this case by the 'volume' parameter. When x=1, the full volume weighting applies and when x=0, the volume will be reduced to a constant 1. Values in between will result in the respective partial weighting, for example 0.5 will give the square root of the volume.
The obvious question here though is why would you want to do this? To answer that really it is best to actually try it. The advantages that volume weighting can bring to a moving average can sometimes come at the cost of unwanted or erratic behaviour. While it can tend towards much closer price tracking which may be desirable, sometimes it needs moderating especially in markets with lower liquidity. Here the adjustability can be useful, in many cases i have found that adding a small amount of volume weighting to a chosen MA can help to improve its responsiveness without overpowering it. Another possible use case would be to have two instances of the same MA with the same length but different weightings, the extent to which these diverge from each other can be a useful indicator of trend strength. Other uses will become apparent with experimentation and can vary from one market to another.
THE INCLUDED MODES
At the time of publication, there are 7 included moving average types with plans to add more in future. For now here is a brief explainer of what's on offer (continuing to use x as shorthand for the volume parameter), starting with the two most common types.
SMA: As mentioned above this is essentially a standard VWMA, calculated here as sma(source*volume^x,length)/sma(volume^x,length). In this case when x=0 then volume=1 and it reduces to a standard SMA.
RMA: Again mentioned above, this is an EVWMA (where E stands for elastic) with constant weighting. Without going into detail, this method takes the 1/length factor of an RMA and replaces it with volume^x/sum(volume^x,length). In this case again we can see that when x=0 then volume=1 and the original 1/length factor is restored.
EMA: This follows the same principle as the RMA where the standard 2/(length+1) factor is replaced with (2*volume^x)/(sum(volume^x,length)+volume^x). As with an RMA, when x=0 then volume=1 and this reduces back to the standard 2/(length+1).
DEMA: Just a standard Double EMA using the above.
TEMA: Likewise, a standard Triple EMA using the above.
hSMA: This is the same as the SMA except it uses harmonic mean calculations instead of arithmetic. In most cases the differences are negligible however they can become more pronounced when volume weighting is introduced. Furthermore, an argument can be made that harmonic mean calculations are better suited to downtrends or bear markets, in principle at least.
WMA: Probably the most contentious one included. Follows the same basic calculations as for the SMA except uses a WMA instead. Honestly, it makes little sense to combine both linear and volume weighting in this manner, included only for completeness and because it can easily be done. It may be the case that a superior composite could be created with some more complex calculations, in which case i may add that later. For now though this will do.
An additional 'volume filter' option is included, which applies a basic filter to the volume prior to calculation. For types based around the SMA/VWMA system, the volume filter is a WMA-4, for types based around the RMA/EVWMA system the filter is a RMA-2.
As and when i add more they will be listed in the updates at the bottom.
WEIGHTED INPUTS
The ohlc method of source calculations is really a leftover from a time when data was far more limited. Nevertheless it is still the method used in charting and for the most part is sufficient. Often the only important value is 'close' although sometimes 'high' and 'low' can be relevant also. Since we are volume weighting however, it can be useful to incorporate as much information as possible. To that end either 'hlc3' or 'hlcc4' tend to be the best of the defaults (in the case of 24/7 charting like crypto or intraday trading, 'ohlc4' should be avoided as it is effectively the same as a lagging version of 'hlcc4'). There are many other (infinitely many, in fact) possible combinations that can be created, i have included a few here.
The premise is fairly straightforward, by subtracting one value from another, the remaining difference can act as a kind of weight. In a simple case consider 'hl2' as simply the midrange ((high+low)/2), instead of this using 'high+low-open' would give more weight to the value furthest from the open, providing a good estimate of the median. An even better estimate can be achieved by combining that with 'high+low-close' to give the included result 'hl-oc2'. Similarly, 'hlc3' can be considered the basic mean of the three significant values, an included weighted version 'hlc2-o2' combines a sum with subtraction of open to give an estimated mean that may be more accurate. Finally we can apply a similar principle to the close, by subtracting the other values, this one potentially gets more complex so the included 'cc-ohlc4' is really the simplest. The result here is an overbias of the close in relation to the open and the midrange, while in most cases not as useful it can provide an estimate for the next bar assuming that the trend continues.
Of the three i've included, hlc2-o2 is in my opinion the most useful especially in this context, although it is perhaps best considered to be experimental in nature. For that reason, i've kept 'hlcc4' as the default for both MAs.
Additionally included is an 'aux input' which is the standard TV source menu and, where possible, can be set as outputs of other indicators.
THE SYSTEM
This one is fairly obvious and straightforward. It's just a moving average crossover with additional deviation (bollinger) bands. Not a lot to explain here as it should be apparent how it works.
Of the two, MA1 is considered to be the fast and MA2 is considered to be the slow. Both can be set with independent inputs, types and weighting. When MA1 is above, the colour of both is green and when it's below the colour of both is red. An additional gradient based fill is there and can be adjusted along with everything else in the visuals section at the bottom. Default alerts are available for crossover/crossunder conditions along with optional marker plots.
MA2 has the option for deviation bands, these are calculated based upon the MA type used and volume weighted according to the main parameter. In the case of a unweighted SMA being used they will be standard Bollinger bands.
An additional 'source direct' price tracker is included which can be used as the basis for an alert system for price crossings of bands or MAs, while taking advantage of the available weighted inputs. This is displayed as a stepped line on the chart so is also a good way to visualise the differences between input types.
That just about covers it then. The likelihood is that you've used some sort of moving average cross system before and are probably still using one or more. If so, then perhaps the additional functionality here will be of benefit.
Thanks for looking, I welcome any feedack
Uhl MA Crossover SystemToday proposed indicator is based on the corrected moving average, an indicator originally proposed by Andreas Uhl professor at Salzburg University. This moving average is not the most well known, which is a pity since its design is extremely elegant.
The corrected moving average (CMA) is an adaptive moving average based on exponential averaging and aim to correct common problems of classical moving averages such as crosses occurring during sideway markets, more details will be introduced in the calculation section. The CMA aim to act as a slow moving average in a moving average crossover system.
Here a new fast adaptive moving average named corrected trend step (CTS) based on the CMA is introduced in order to provide a full moving average crossover system based on A. Uhl design.
To Andreas Uhl
Calculation And Understanding The CTS
Even if the code is quite compact, the original idea behind the CMA can be blurry for some users, however it is actually relatively simple to understand. The CMA is based on exponential averaging and a smoothing variable is therefore required, in the CMA the calculation of the smoothing variable is based on the squared distance between the precedent CMA output and a simple moving average, and the rolling variance, where the rolling variance act as threshold.
The CTS work the same way but instead of using the squared error between a simple moving average and the previous CMA output, we use the squared error between the closing price and the previous CTS output, this allow the CTS to better fit with the closing price. As said before the rolling variance act as threshold, if the squared error is lower than the rolling variance this mean that the CTS is close to the price, which can indicate a sideway market, therefore we should filter the entirety of the current price, therefore on sideways market the CTS is equal to the precedent value of the CTS.
In trending/volatile markets we expect the price to go away from the CTS, thus having an high squared error, if the squared error is greater than the rolling variance, the smoothing variable is equal to 1 - variance/squared error , here variance/squared error < 1 since the squared error is greater than the rolling variance ( remember that the smoothing variable need to be in a (0,1) range ), however if the squared error is way higher than variance this ratio will be small, which would return a non reactive output, but thats not what we want ! This is why we subtract 1 by this ratio in order to make the CTS more reactive instead of less reactive.
In case the squared error is greater than the rolling variance during sideway markets we would not expect a huge difference anyway, that is squared error ≈ variance and therefore:
1 - variance/squared error ≈ 1 - 1/1 ≈ 1 - 1 ≈ 0
This is a beautiful way to make an adaptive moving average, the CMA is not a flashy indicator, but when we look at the details behind the design we can only get amazed, or maybe that its just me, truly a great adaptive moving average.
The System
length control the filtering amount of both moving averages, with higher values of length returning larger filtering amount. Mult multiply the rolling variance by an user selected value, this also allow a greater amount of filtering.
The CTS act as a fast moving average while the CMA act as a slow moving average.
Here the indicator with length = 200, we can see how a sideway market who could have generated a large amount of signals don't affect our system.
Unlike classical crossovers systems where the slow moving average will rarely produce a cross with the fast moving average and price at the same time, the Uhl system can actually do that:
Conclusion
A moving average crossover system based on the corrected moving average proposed by Andreas Uhl has been presented, a new moving average that aim to produce good fits with the price has been created especially for this system. The logic behind the CMA has also been explained. A possible strategy analysis could be presented in the future.
In conclusion i would say the CMA is a bit underrated, in a field where arrows, signals, alerts are the only things appreciated by peoples, original content is slowly dying, this actually make today technical indicators have a pretty bad academic reputations. I'am afraid that today haiku master is Uhl rather than me, i hope to see more indicators from him in the future.
Thanks for reading !
Original paper: www.buero-uhl.de
TrendFireOverview
They say "Trend is your Friend". In my short trading timeline, I've realized the difficult part is making this friendship to happen. Although, not impossible.
Trend Fire is one of the trend following strategy amongst many strategies out there. But the unique part of Trend Fire lies in the implementation and its accuracy to identify healthy Trends. Trend Fire is a purely Mathematical Indicator and aims for generating more successful trade signals. It has a unique strategy to avoid sideways market, false signals, and calculation to find entry for Trends, hence, more quality of trades.
I started my trading journey by observing the market movement for a long time as a beginner trader. Over time, I've realized that profit maximization can happen only if I can properly identify long trend. The reason why I was fascinated with trend following strategies and keen to solve the problems that trend following has.
Approach
In most typical trend following strategy setup, Trend identification starts by using fast and long period moving average crossovers. The fact that, moving averages are lagging in nature, it fails to identify good trends and produce many false signals. Although, it generates signals for trend also along with the false signals.
My aim was to reduce the false signals that occurs during consolidation and gain more accuracy on detecting healthy trends. The reason why I've obtained several approaches -
1. Moving Average Gap - during a consolidation period where lots of false signal generates in a crossover system, we can see that the distance/gap between the moving averages is very small, and in long trend the distance is large. So, a simple implementation was to limit the distance/gap by using a threshold to generate signals for trend outside the false signal threshold. This way, signals for long trend generates a few candles away but reduces false signal generation. For this Gap to work, a gap threshold of 20 works great to identify large trends and it is also a good entry point.
3. Volatility Adaptive moving average - As, this system is based on calculating distance/gap between MA's, the distance also doesn't always indicate proper momentum during a trend. The reason behind is that, 200 Moving average is also moving along the price during a trend and the distance/gap between moving averages vary according to the price. This also leads to generate false signals. So, it is more appropriate to replace 200 moving average with volatility adaptive moving average with a period of 1000, because adaptive moving average always reacts to the price and creates a larger distance/gap with price when there’s a trend in the market. Otherwise, it moves close with price in a sideways market. This nature of adaptability helps to reduce more false signals and gain more chances to take profitable trends.
This is also should be considered that no indicator system alone in trading is purely accurate. So, Trend Fire also is not an exception. There will be false signals, but the probability of getting false signal is less than the overall profits compared to any other moving average crossover system. The idea here is, maximizing your equity gradually over time rather than in a day and trade only when market is tradeable. Exactly how trading should be.
Usage
The usage of the indicator is simple. Once the indicator is applied in the mentioned currency pairs, it will show Buy/Sell signals along with Exit points in the chart.
The yellow line is the volatility adaptive moving average line which create distance during a trend and moves close to price when there is no trend. It is also used for trade exit indication, where the line meets with the price at the end of the trend and shows total pips gains/loss in a popup.
As, the indicator have built in adaptive and ATR base stop loss system, a good approach is to enable this in settings. So that, the loss will be minimum. The reason behind, by default the trades closed when a certain trend is over (When yellow line reaches close to the price after a gap) and this closing point not necessarily closes above/below signal. This is why Adaptive and ATR stop loss together make sure when trend reverses during a trend to take profit. Although, settings for Stop loss have been configured in the indicator, but if needed, settings can be changed for optimized results. It is also advisable to not to trade during a news alert as there are chances to generate false signal for high movement of the market.
Down-Sides
The indicator is dependent on the 1-minute time frame, larger time frames resulting in a signal overfitting condition. The indicator is set for only some selective currencies and commodities. So, its behavior might also change if the currency pair is out of scope. Below is the list of currencies which will work for now.
• EURUSD – FXCM
• GBPUSD – FXCM
• AUDUSD – OANDA
• USDCAD – OANDA
• GBPCAD – FXCM
• USDJPY – FXCM
• GBPJPY – OANDA
• EURJPY – OANDA
• CADJPY – FXCM
• AUDJPY – OANDA
• CHFJPY – OANDA
• EURAUD – FXCM
• GBPAUD – FXCM
• AUDCAD – OANDA
• EURGBP – FXCM
• EURCAD – OANDA
• XAUUSD – OANDA
• XAGUSD – OANDA
• USOIL – TVC
• BTCUSDT.P – BYBIT
More currency pair will be added in the future.
Settings
• Fast MA : Fast Moving Average
• Trend MA : Trend line Ema for determining Exit point
• Trend Threshold : Gap threshold between VAMA and Fast EMA
• VAMA : Volatility Adaptive Moving Average Length for calculation
• Enable Trend Coloring : Enable trend coloring on adaptive moving average line
• Enable Trailing Stop : Enable Adaptive and ATR trailing stop to exit trades
• Show Dashboard : Enable Trend and Signal value dashboard
• Position : Position of Dashboard in Chart
Alerts
Alert conditions are set for trade Entry and Exit scopes only and it does not mention Buy/Sell trade specifically in alerts for now. For that, you need to follow the chart after an alert as indicator shows Buy/Sell/Exit on chart. To create an alert based on the indicator follow these steps:
Go to the alert section (the alarm clock) -> create new alert -> select TrendFire in condition -> Below select TRADE ALERT and select date duration. In option select “once per bar close”, By default the message is set with ticker ID. Change the message if you want a personalized message.
Conclusion
As a programmer and problem solver, I have invested over a year to understand the market and tried to solve the problem that I faced as a trader. I wanted to develop an indicator that make sense and works logically in market. Also, the aim is to trade smartly with a strategy rather than biting in the bush randomly. Trade Fire is a result of countless failures and losses. I hope future contributions will grow this indicator to be more efficient down the line.
Thanks for reading…Happy Trading!
