Cross-Over Trend Detector MA 10/30"Trend Bend Cross-Over Trend Detector MA 10/30 " Indicator - Recognizing a Change in Trend
"Trend Bend" is an indicator created for easy visualization of trends and their change through the crossover of two moving averages (Moving Averages - MAs). This indicator helps traders determine market direction and possible trend reversals using a simple yet effective method.
Basic Script Functions and Logic
Pair Moving Averages:
Fast MA with a default length of 10 and Slow MA with a length of 30.
The fast moving average follows the current price more closely, while the slow moving average smooths out the trend. Crossing between the two indicates a change in trend direction.
Lengths can be changed according to the user's preferences and trading style.
Trend Reversal Signals:
When the fast moving average crosses the slow moving average from the bottom up, an "UP" signal is displayed - indicating a possible uptrend.
When the fast moving average crosses the slow moving average from top to bottom, a "DOWN" signal is displayed - indicating a potential downtrend.
Trend Analysis
Trend Bend"Trend Bend" Indicator - Recognizing a Change in Trend
"Trend Bend" is an indicator created for easy visualization of trends and their change through the crossover of two moving averages (Moving Averages - MAs). This indicator helps traders determine market direction and possible trend reversals using a simple yet effective method.
Basic Script Functions and Logic
Pair Moving Averages:
Fast MA with a default length of 10 and Slow MA with a length of 30.
The fast moving average follows the current price more closely, while the slow moving average smooths out the trend. Crossing between the two indicates a change in trend direction.
Lengths can be changed according to the user's preferences and trading style.
Trend Reversal Signals:
When the fast moving average crosses the slow moving average from the bottom up, an "UP" signal is displayed - indicating a possible uptrend.
When the fast moving average crosses the slow moving average from top to bottom, a "DOWN" signal is displayed - indicating a potential downtrend.
Optimized Fair Value Gap StrategyOptimised Fair Value Gap strategy with take profit signals. Giving traders the best chance of making successful trades
US Party Rule Indicator**Here's a description you can use for the indicator:**
**US Party Rule Indicator**
This indicator visually represents the political party in power in the United States over a specified period. It overlays a colored 200-day Exponential Moving Average (EMA) on the chart. The color of the EMA changes to reflect the ruling party, providing a visual representation of political influence on market trends.
**Key Features:**
- **Dynamic Color-Coded EMA:** The 200-EMA changes color to indicate the party in power (Red for Republican, Blue for Democrat).
- **Clear Visual Representation:** The colored EMA provides an easy-to-understand visual cue for identifying periods of different political parties.
- **Historical Context:** By analyzing the historical data, you can gain insights into potential correlations between party rule and market trends.
**How to Use:**
1. **Add the Indicator:** Add the "US Party Rule Indicator" to your chart.
2. **Interpret the Color:** The color of the 200-EMA indicates the ruling party at that time.
3. **Analyze Market Trends:** Use the indicator to identify potential correlations between political events and market movements.
**Note:** This indicator is for informational purposes only and should not be used as the sole basis for investment decisions. Always conduct thorough research and consider consulting with a financial advisor.
Returns Stationarity Analysis (YavuzAkbay)This indicator analyzes the stationarity of a stock's price returns over time. Stationarity is an important property of time series data, as it determines the validity of statistical analysis and forecasting methods.
The indicator provides several visual cues to help assess the stationarity of the price returns:
Price Returns: Displays the daily percentage change in the stock's closing price.
Moving Average: Shows the smoothed trend of the price returns using a simple moving average.
Z-Score: Calculates the standardized z-score of the price returns, highlighting periods of significant deviation from the mean.
Autocorrelation: Plots the autocorrelation of the price returns, which measures the persistence or "memory" in the time series. High autocorrelation suggests non-stationarity.
The indicator also includes the following features:
Customizable lookback period and smoothing window for the moving statistics.
Lag parameter for the autocorrelation calculation.
Shaded bands to indicate the significance levels for the z-score and autocorrelation.
Visual signals (red dots) to highlight periods that are potentially non-stationary, based on a combination of high z-score and autocorrelation.
Informative labels to guide the interpretation of the results.
This indicator can be a useful tool for stock market analysts and traders to identify potential changes in the underlying dynamics of a stock's price behavior, which may have implications for forecasting, risk management, and investment strategies.
High/Low Location Frequency [LuxAlgo]The High/Low Location Frequency tool provides users with probabilities of tops and bottoms at user-defined periods, along with advanced filters that offer deep and objective market information about the likelihood of a top or bottom in the market.
🔶 USAGE
There are four different time periods that traders can select for analysis of probabilities:
HOUR OF DAY: Probability of occurrence of top and bottom prices for each hour of the day
DAY OF WEEK: Probability of occurrence of top and bottom prices for each day of the week
DAY OF MONTH: Probability of occurrence of top and bottom prices for each day of the month
MONTH OF YEAR: Probability of occurrence of top and bottom prices for each month
The data is displayed as a dashboard, which users can position according to their preferences. The dashboard includes useful information in the header, such as the number of periods and the date from which the data is gathered. Additionally, users can enable active filters to customize their view. The probabilities are displayed in one, two, or three columns, depending on the number of elements.
🔹 Advanced Filters
Advanced Filters allow traders to exclude specific data from the results. They can choose to use none or all filters simultaneously, inputting a list of numbers separated by spaces or commas. However, it is not possible to use both separators on the same filter.
The tool is equipped with five advanced filters:
HOURS OF DAY: The permitted range is from 0 to 23.
DAYS OF WEEK: The permitted range is from 1 to 7.
DAYS OF MONTH: The permitted range is from 1 to 31.
MONTHS: The permitted range is from 1 to 12.
YEARS: The permitted range is from 1000 to 2999.
It should be noted that the DAYS OF WEEK advanced filter has been designed for use with tickers that trade every day, such as those trading in the crypto market. In such cases, the numbers displayed will range from 1 (Sunday) to 7 (Saturday). Conversely, for tickers that do not trade over the weekend, the numbers will range from 1 (Monday) to 5 (Friday).
To illustrate the application of this filter, we will exclude results for Mondays and Tuesdays, the first five days of each month, January and February, and the years 2020, 2021, and 2022. Let us review the results:
DAYS OF WEEK: `2,3` or `2 3` (for crypto) or `1,2` or `1 2` (for the rest)
DAYS OF MONTH: `1,2,3,4,5` or `1 2 3 4 5`
MONTHS: `1,2` or `1 2`
YEARS: `2020,2021,2022` or `2020 2021 2022`
🔹 High Probability Lines
The tool enables traders to identify the next period with the highest probability of a top (red) and/or bottom (green) on the chart, marked with two horizontal lines indicating the location of these periods.
🔹 Top/Bottom Labels and Periods Highlight
The tool is capable of indicating on the chart the upper and lower limits of each selected period, as well as the commencement of each new period, thus providing traders with a convenient reference point.
🔶 SETTINGS
Period: Select how many bars (hours, days, or months) will be used to gather data from, max value as default.
Execution Window: Select how many bars (hours, days, or months) will be used to gather data from
🔹 Advanced Filters
Hours of day: Filter which hours of the day are excluded from the data, it accepts a list of hours from 0 to 23 separated by commas or spaces, users can not mix commas or spaces as a separator, must choose one
Days of week: Filter which days of the week are excluded from the data, it accepts a list of days from 1 to 5 for tickers not trading weekends, or from 1 to 7 for tickers trading all week, users can choose between commas or spaces as a separator, but can not mix them on the same filter.
Days of month: Filter which days of the month are excluded from the data, it accepts a list of days from 1 to 31, users can choose between commas or spaces as separator, but can not mix them on the same filter.
Months: Filter months to exclude from data. Accepts months from 1 to 12. Choose one separator: comma or space.
Years: Filter years to exclude from data. Accepts years from 1000 to 2999. Choose one separator: comma or space.
🔹 Dashboard
Dashboard Location: Select both the vertical and horizontal parameters for the desired location of the dashboard.
Dashboard Size: Select size for dashboard.
🔹 Style
High Probability Top Line: Enable/disable `High Probability Top` vertical line and choose color
High Probability Bottom Line: Enable/disable `High Probability Bottom` vertical line and choose color
Top Label: Enable/disable period top labels, choose color and size.
Bottom Label: Enable/disable period bottom labels, choose color and size.
Highlight Period Changes: Enable/disable vertical highlight at start of period
FTMO Rules MonitorFTMO Rules Monitor: Stay on Track with Your FTMO Challenge Goals
TLDR; You can test with this template whether your strategy for one asset would pass the FTMO challenges step 1 then step 2, then with real money conditions.
Passing a prop firm challenge is ... challenging.
I believe a toolkit allowing to test in minutes whether a strategy would have passed a prop firm challenge in the past could be very powerful.
The FTMO Rules Monitor is designed to help you stay within FTMO’s strict risk management guidelines directly on your chart. Whether you’re aiming for the $10,000 or the $200,000 account challenge, this tool provides real-time tracking of your performance against FTMO’s rules to ensure you don’t accidentally breach any limits.
NOTES
The connected indicator for this post doesn't matter.
It's just a dummy double supertrends (see below)
The strategy results for this script post does not matter as I'm posting a FTMO rules template on which you can connect any indicator/strategy.
//@version=5
indicator("Supertrends", overlay=true)
// Supertrend 1 Parameters
var string ST1 = "Supertrend 1 Settings"
st1_atrPeriod = input.int(10, "ATR Period", minval=1, maxval=50, group=ST1)
st1_factor = input.float(2, "Factor", minval=0.5, maxval=10, step=0.5, group=ST1)
// Supertrend 2 Parameters
var string ST2 = "Supertrend 2 Settings"
st2_atrPeriod = input.int(14, "ATR Period", minval=1, maxval=50, group=ST2)
st2_factor = input.float(3, "Factor", minval=0.5, maxval=10, step=0.5, group=ST2)
// Calculate Supertrends
= ta.supertrend(st1_factor, st1_atrPeriod)
= ta.supertrend(st2_factor, st2_atrPeriod)
// Entry conditions
longCondition = direction1 == -1 and direction2 == -1 and direction1 == 1
shortCondition = direction1 == 1 and direction2 == 1 and direction1 == -1
// Optional: Plot Supertrends
plot(supertrend1, "Supertrend 1", color = direction1 == -1 ? color.green : color.red, linewidth=3)
plot(supertrend2, "Supertrend 2", color = direction2 == -1 ? color.lime : color.maroon, linewidth=3)
plotshape(series=longCondition, location=location.belowbar, color=color.green, style=shape.triangleup, title="Long")
plotshape(series=shortCondition, location=location.abovebar, color=color.red, style=shape.triangledown, title="Short")
signal = longCondition ? 1 : shortCondition ? -1 : na
plot(signal, "Signal", display = display.data_window)
To connect your indicator to this FTMO rules monitor template, please update it as follow
Create a signal variable to store 1 for the long/buy signal or -1 for the short/sell signal
Plot it in the display.data_window panel so that it doesn't clutter your chart
signal = longCondition ? 1 : shortCondition ? -1 : na
plot(signal, "Signal", display = display.data_window)
In the FTMO Rules Monitor template, I'm capturing this external signal with this input.source variable
entry_connector = input.source(close, "Entry Connector", group="Entry Connector")
longCondition = entry_connector == 1
shortCondition = entry_connector == -1
🔶 USAGE
This indicator displays essential FTMO Challenge rules and tracks your progress toward meeting each one. Here’s what’s monitored:
Max Daily Loss
• 10k Account: $500
• 25k Account: $1,250
• 50k Account: $2,500
• 100k Account: $5,000
• 200k Account: $10,000
Max Total Loss
• 10k Account: $1,000
• 25k Account: $2,500
• 50k Account: $5,000
• 100k Account: $10,000
• 200k Account: $20,000
Profit Target
• 10k Account: $1,000
• 25k Account: $2,500
• 50k Account: $5,000
• 100k Account: $10,000
• 200k Account: $20,000
Minimum Trading Days: 4 consecutive days for all account sizes
🔹 Key Features
1. Real-Time Compliance Check
The FTMO Rules Monitor keeps track of your daily and total losses, profit targets, and trading days. Each metric updates in real-time, giving you peace of mind that you’re within FTMO’s rules.
2. Color-Coded Visual Feedback
Each rule’s status is shown clearly with a ✓ for compliance or ✗ if the limit is breached. When a rule is broken, the indicator highlights it in red, so there’s no confusion.
3. Completion Notification
Once all FTMO requirements are met, the indicator closes all open positions and displays a celebratory message on your chart, letting you know you’ve successfully completed the challenge.
4. Easy-to-Read Table
A table on your chart provides an overview of each rule, your target, current performance, and whether you’re meeting each goal. The table adjusts its color scheme based on your chart settings for optimal visibility.
5. Dynamic Position Sizing
Integrated ATR-based position sizing helps you manage risk and avoid large drawdowns, ensuring each trade aligns with FTMO’s risk management principles.
Daveatt
Pulse DPO: Major Cycle Tops and Bottoms█ OVERVIEW
Pulse DPO is an oscillator designed to highlight Major Cycle Tops and Bottoms .
It works on any market driven by cycles. It operates by removing the short-term noise from the price action and focuses on the market's cyclical nature.
This indicator uses a Normalized version of the Detrended Price Oscillator (DPO) on a 0-100 scale, making it easier to identify major tops and bottoms.
Credit: The DPO was first developed by William Blau in 1991.
█ HOW TO READ IT
Pulse DPO oscillates in the range between 0 and 100. A value in the upper section signals an OverBought (OB) condition, while a value in the lower section signals an OverSold (OS) condition.
Generally, the triggering of OB and OS conditions don't necessarily translate into swing tops and bottoms, but rather suggest caution on approaching a market that might be overextended.
Nevertheless, this indicator has been customized to trigger the signal only during remarkable top and bottom events.
I suggest using it on the Daily Time Frame , but you're free to experiment with this indicator on other time frames.
The indicator has Built-in Alerts to signal the crossing of the Thresholds. Please don't act on an isolated signal, but rather integrate it to work in conjunction with the indicators present in your Trading Plan.
█ OB SIGNAL ON: ENTERING OVERBOUGHT CONDITION
When Pulse DPO crosses Above the Top Threshold it Triggers ON the OB signal. At this point the oscillator line shifts to OB color.
When Pulse DPO enters the OB Zone, please beware! In this Area the Major Players usually become Active Sellers to the Public. While the OB signal is On, it might be wise to Consider Selling a portion or the whole Long Position.
Please note that even though this indicator aims to focus on major tops and bottoms, a strong trending market might trigger the OB signal and stay with it for a long time. That's especially true on young markets and on bubble-mode markets.
█ OB SIGNAL OFF: EXITING OVERBOUGHT CONDITION
When Pulse DPO crosses Below the Top Threshold it Triggers OFF the OB signal. At this point the oscillator line shifts to its normal color.
When Pulse DPO exits the OB Zone, please beware because a Major Top might just have occurred. In this Area the Major Players usually become Aggressive Sellers. They might wind up any remaining Long Positions and Open new Short Positions.
This might be a good area to Open Shorts or to Close/Reverse any remaining Long Position. Whatever you choose to do, it's usually best to act quickly because the market is prone to enter into panic mode.
█ OS SIGNAL ON: ENTERING OVERSOLD CONDITION
When Pulse DPO crosses Below the Bottom Threshold it Triggers ON the OS signal. At this point the oscillator line shifts to OS color.
When Pulse DPO enters the OS Zone, please beware because in this Area the Major Players usually become Active Buyers accumulating Long Positions from the desperate Public.
While the OS signal is On, it might be wise to Consider becoming a Buyer or to implement a Dollar-Cost Averaging (DCA) Strategy to build a Long Position towards the next Cycle. In contrast to the tops, the OS state usually takes longer to resolve a major bottom.
█ OS SIGNAL OFF: EXITING OVERSOLD CONDITION
When Pulse DPO crosses Above the Bottom Threshold it Triggers OFF the OS signal. At this point the oscillator line shifts to its normal color.
When Pulse DPO exits the OS Zone, please beware because a Major Bottom might already be in place. In this Area the Major Players become Aggresive Buyers. They might wind up any remaining Short Positions and Open new Long Positions.
This might be a good area to Open Longs or to Close/Reverse any remaining Short Positions.
█ WHY WOULD YOU BE INTERESTED IN THIS INDICATOR?
This indicator is built over a solid foundation capable of signaling Major Cycle Tops and Bottoms across many markets. Let's see some examples:
Early Bitcoin Years: From 0 to 1242
This chart is in logarithmic mode in order to properly display various exponential cycles. Pulse DPO is properly signaling the major early highs from 9-Jun-2011 at 31.50, to the next one on 9-Apr-2013 at 240 and the epic top from 29-Nov-2013 at 1242.
Due to the massive price movements, the OB condition stays pinned during most of the exponential price action. But as you can see, the OB condition quickly vanishes once the Cycle Top has been reached. As the market matures, the OB condition becomes more exceptional and triggers much closer from the Cycle Top.
With regards to Cycle Bottoms, the early bottom of 2 after having peaked at 31.50 doesn’t get captured by the indicator. That is the only cycle bottom that escapes the Pulse DPO when the bottom threshold is set at a value of 5. In that event, the oscillator low reached 6.95.
Bitcoin Adoption Spreading: From 257 to 73k
This chart is in logarithmic mode in order to properly display various exponential cycles. Pulse DPO is properly signaling all the major highs from 17-Dec-2017 at 19k, to the next one on 14-Apr-2021 at 64k and the most recent top from 9-Nov-2021 at 68k.
During the massive run of 2017, the OB condition still stayed triggered for a few weeks on each swing top. But on the next cycles it started to signal only for a few days before each swing top actually happened. The OB condition during the last cycle top triggered only for 3 days. Therefore the signal grows in focus as the market matures.
At the time of publishing this indicator, Bitcoin printed a new All Time High (ATH) on 13-Mar-2024 at 73k. That run didn’t trigger the OB condition. Therefore, if the indicator is correct the Bitcoin market still has some way to grow during the next months.
With regards to Cycle Bottoms, the bottom of 3k after having peaked at19k got captured within the wide OS zone. The bottom of 15k after having peaked at 68k got captured too within the OS accumulation area.
Gold
Pulse DPO behaves surprisingly well on a long standing market such as Gold. Moving back to the 197x years it’s been signaling most Cycle Tops and Bottoms with precision. During the last cycle, it shows topping at 2k and bottoming at 1.6k.
The current price action is signaling OB condition in the range of 2.5k to 2.7k. Looking at past cycles, it tends to trigger on and off at multiple swing tops until reaching the final cycle top. Therefore this might indicate the first wave within a potential gold run.
Oil
On the Oil market, we can see that most of the cycle tops and bottoms since the 80s got signaled. The only exception being the low from 2020 which didn’t trigger.
EURUSD
On Forex markets the Pulse DPO also behaves as expected. Looking back at EURUSD we can see the marketing triggering OB and OS conditions during major cycle tops and bottoms from recent times until the 80s.
S&P 500
On the S&P 500 the Pulse DPO catched the lows from 2016 and 2020. Looking at present price action, the recent ATH didn’t trigger the OB condition. Therefore, the indicator is allowing room for another leg up during the next months.
Amazon
On the Amazon chart the Pulse DPO is mirroring pretty accurately the major swings. Scrolling back to the early 2000s, this chart resembles early exponential swings in the crypto space.
Tesla
Moving onto a younger tech stock, Pulse DPO captures pretty accurately the major tops and bottoms. The chart is shown in logarithmic scale to better display the magnitude of the moves.
█ SETTINGS
This indicator is ideal for identifying major market turning points while filtering out short-term noise. You are free to adjust the parameters to align with your preferred trading style.
Parameters : This section allows you to customize any of the Parameters that shape the Oscillator.
Oscillator Length: Defines the period for calculating the Oscillator.
Offset: Shifts the oscillator calculation by a certain number of periods, which is typically half the Oscillator Length.
Lookback Period: Specifies how many bars to look back to find tops and bottoms for normalization.
Smoothing Length: Determines the length of the moving average used to smooth the oscillator.
Thresholds : This section allows you to customize the Thresholds that trigger the OB and OS conditions.
Top: Defines the value of the Top Threshold.
Bottom: Defines the value of the Bottom Threshold.
Watchlist & Symbols Distribution [Daveatt]TLDR;
I got bored so I just coded the TradingView watchlist interface in Pinescript :)
TLDR 2:
Sharing it open-source what took me 1 full day to code - haven't coded in Pinescript in a long time, so I'm a bit slow for now :)
█ OVERVIEW
This script offers a comprehensive market analysis tool inspired by TradingView's native watchlist interface features.
It combines an interactive watchlist with powerful distribution visualization capabilities and a performance comparison panel.
The script was developed with a focus on providing multiple visualization methods while working within PineScript's limitations.
█ DEVELOPMENT BACKGROUND
The pie chart implementation was greatly inspired by the ( "Crypto Map Dashboard" script / )
adapting its circular visualization technique to create dynamic distribution charts. However, due to PineScript's 500-line limitation per script, I had to optimize the code to allow users to switch between pie chart analysis and performance comparison modes rather than displaying both simultaneously.
█ SETUP AND DISPLAY
For optimal visualization, users need to adjust the chart's display settings manually.
This involves:
Expanding the indicator window vertically to accommodate both the watchlist and graphical elements
Adjusting the Y-axis scale by dragging it to ensure proper spacing for the comparison panel grid
Modifying the X-axis scale to achieve the desired time window display
Fine-tuning these adjustments whenever switching between pie chart and comparison panel modes
These manual adjustments are necessary due to PineScript's limitations in controlling chart scaling programmatically. While this requires some initial setup, it allows users to customize the display to their preferred viewing proportions.
█ MAIN FEATURES
Distribution Analysis
The script provides three distinct distribution visualization modes through a pie chart.
Users can analyze their symbols by exchanges, asset types (such as Crypto, Forex, Futures), or market sectors.
If you can't see it well at first, adjust your chart scaling until it's displayed nicely.
Asset Exchanges
www.tradingview.com
Asset Types
Asset Sectors
The pie charts feature an optional 3D effect with adjustable depth and angle parameters. To enhance visual customization, four different color schemes are available: Default, Pastel, Dark, and Neon.
Each segment of the pie chart includes interactive tooltips that can be configured to show different levels of detail. Importantly, the pie chart only visualizes the distribution of selected assets (those marked with a checkmark in the watchlist), providing a focused view of the user's current interests.
Interactive Watchlist
The watchlist component displays real-time data for up to 10 user-defined symbols. Each entry shows current price, price changes (both absolute and percentage), volume metrics, and a comparison toggle.
The table is dynamically updated and features color-coded entries that correspond to their respective performance lines in the comparison chart. The watchlist serves as both an information display and a control panel for the comparison feature.
Performance Comparison
One of the script's most innovative features is its performance comparison panel.
Using polylines for smooth visualization, it tracks the 30-day performance of selected symbols relative to a 0% baseline.
The comparison chart includes a sophisticated grid system with 5% intervals and a dynamic legend showing current performance values.
The polyline implementation allows for fluid, continuous lines that accurately represent price movements, providing a more refined visual experience than traditional line plots. Like the pie charts, the comparison panel only displays performance lines for symbols that have been selected in the watchlist, allowing users to focus on their specific assets of interest.
█ TECHNICAL IMPLEMENTATION
The script utilizes several advanced PineScript features:
Dynamic array management for symbol tracking
Polyline-based charting for smooth performance visualization
Real-time data processing with security calls
Interactive tooltips and labels
Optimized drawing routines to maintain performance
Selective visualization based on user choices
█ CUSTOMIZATION
Users can personalize almost every aspect of the script:
Symbol selection and comparison preferences
Visual theme selection with four distinct color schemes
Pie chart dimensions and positioning
Tooltip information density
Component visibility toggles
█ LIMITATIONS
The primary limitation stems from PineScript's 500-line restriction per script.
This constraint necessitated the implementation of a mode-switching system between pie charts and the comparison panel, as displaying both simultaneously would exceed the line limit. Additionally, the script relies on manual chart scale adjustments, as PineScript doesn't provide direct control over chart scaling when overlay=false is enabled.
However, these limitations led to a more focused and efficient design approach that gives users control over their viewing experience.
█ CONCLUSION
All those tools exist in the native TradingView watchlist interface and they're better than what I just did.
However, now it exists in Pinescript... so I believe it's a win lol :)
David_candle length with average and candle directionThis indicator,
calculates the difference between the highest and lowest price (High-Low difference) for a specified number of periods and displays it in a table. Here are the functions and details included:
Number of Periods: The user can define the number of periods (e.g., 10) for which the High-Low differences are calculated.
Table Position: The position of the table that displays the results can be selected by the user (top left, top right, bottom left, or bottom right).
High-Low Difference per Candle: For each defined period, the difference between the highest and lowest price of the respective candle is calculated.
Candle Direction: The color of the displayed text in the table changes based on the candle direction:
Green for bullish candles (close price higher than open price).
Red for bearish candles (close price lower than open price).
White for neutral candles (close price equal to open price).
Average: Below the High-Low differences, the average value of the calculated differences is displayed in yellow text.
This indicator is useful for visually analyzing the volatility and movement range within the recent candles by highlighting the average High-Low difference.
Horizontal Lines at Custom IntervalsThis Pine Script indicator, "Horizontal Lines at Custom Intervals," is a versatile tool designed to help traders visualize key price levels at regular intervals above and below a specified starting price. It is particularly useful for identifying support and resistance zones, psychological price levels, or potential entry and exit points around a central price reference.
Customizable Starting Price**: Set a central price around which the lines will be drawn, such as a current asset price, pivot level, or significant historical level.
- **Adjustable Intervals and Range**: Choose the interval distance (in points) between each horizontal line, as well as the total range above and below the starting price. This flexibility allows the indicator to adapt to different asset classes and timeframes.
- **Full Chart Extensions**: Each line is set to extend across the entire chart, providing a clear, continuous visual reference that spans both past and future price action.
- **Editable Line Style, Width, and Color**: Personalize the appearance of the lines with selectable color, width, and style options (Solid, Dotted, Dashed), enabling the indicator to match your charting preferences and visual style.
### Applications:
1. **Support and Resistance Identification**: Traders can use the evenly spaced lines to identify potential support and resistance zones around the starting price, helping to mark areas of interest where price may react.
2. **Psychological Levels**: Round-number levels often hold psychological significance in trading. By setting intervals to common round numbers, this indicator can help identify these critical levels.
3. **Scalping and Range Trading**: This tool is especially valuable in range-bound markets, where repeated price action within defined levels allows traders to buy and sell around predictable zones.
4. **Trend Reversal and Breakout Signals**: In trending markets, observing how price interacts with these levels can offer insights into possible breakouts or trend reversals.
### Example Use Case:
For instance, if BankNifty is trading around 51,130, you can set this as the starting price. With 50-point intervals and a range of 1,000 points, the indicator will plot lines at 50-point increments both above and below 51,130, covering a total range of 2,000 points. This setup provides clear visual cues for potential price reaction zones as the asset moves through different price levels.
This indicator is a simple yet powerful addition to any trader’s toolkit, offering a structured approach to analyzing price levels and making informed trading decisions.
Distance Indicator:52W H/L,MA,ADR%Description:
This indicator provides key metrics for analyzing the market's distance from significant levels. It includes options to display the distance in percentage terms from:
52-Week High and Low: Shows how far the current close price is from the highest and lowest price over the past 52 weeks.
Selected Moving Averages (MA): Tracks the distance of the current close from multiple moving averages (10, 21, 30, 50 periods), with an option to choose either EMA or SMA. This allows traders to quickly gauge momentum relative to short and long-term trends.
Average Daily Range (ADR%): Calculates the average daily range (high minus low) over the past 14 days as a percentage of the current close, helping to understand recent volatility.
3-Month Move: Tracks the percentage distance from the lowest price of the past 3 months to the current close.
Customization Options:
Include/Exclude Plots: Turn each indicator on or off as needed.
Color and Transparency: Customizable colors and transparency levels for each plot for easy visualization.
MA Type Selection: Choose between SMA or EMA for moving averages to suit trading preferences.
Note: All calculations are based on the daily timeframe, ensuring consistent and reliable values regardless of the chart’s selected timeframe.
VPA Volume Price AverageDescription:
This indicator displays a moving average of volume and its signal line in a separate pane, with conditional highlighting to help interpret buyer and seller pressure. It’s based on two main lines:
Volume Moving Average (red line) : represents the average volume calculated over a configurable number of periods.
Signal Line of the Volume Moving Average (blue line): this is an average of the volume moving average itself, used as a reference for volume trends.
Key Features
Volume Moving Average with Conditional Highlighting:
The volume moving average is plotted as a red line and changes color based on two specific conditions:
The closing price is above its moving average, calculated over a configurable number of periods, indicating a bullish trend.
The volume moving average is greater than the signal line, suggesting an increase in buyer pressure.
When both conditions are met, the volume moving average turns green. If one or both conditions are not met, the line remains red.
Signal Line of the Volume Moving Average:
The signal line is plotted in blue and represents a smoothed version of the volume moving average, useful for identifying long-term volume trends and as a reference for the highlighting condition.
Customizable Periods
The indicator allows you to set the periods for each average to adapt to different timeframes and desired sensitivity:
Period for calculating the volume moving average.
Period for calculating the signal line of the volume moving average.
Period for the price moving average (used in the highlighting condition).
How to Use
This indicator is especially useful for monitoring volume dynamics in detail, with a visual system that highlights conditions of increasing buyer strength when the price is in an uptrend. The green highlight on the volume moving average provides an intuitive signal for identifying potential moments of buyer support.
Try it to gain a clearer and more focused view of volume behavior relative to price movement!
Price Move Exceed % Threshold & BE Evaluation1Handy to see history or quick back test of moves. Enter a decimal for percentage wanted and choose the time frame wanted . The occurrences of the up or down threshold are plotted in the panel as maroon or green squares and can be read as red or green text in the panel data and on the right hand scale . The last number in the panel is the average move for the chosen period.
My usage is mostly to see what % has been exceeded for break even prices of option trades. Example: in SPY a spread has a break even of 567 when the price is 570; I get the percentage of the $3 move by dividing 3/570 to get 0.0526 ; the results show as described above.
RTI Thresholds Index | mad_tiger_slayerOverview of the Script
The Relative Trend Index (RTI) Threshold Index is a custom indicator for TradingView that enhances a Relative Trend Index (RTI) . The RTI is designed to reflect the market’s trend strength by comparing the current price to dynamically calculated upper and lower trend boundaries. Additionally, the indicator includes overbought and oversold thresholds, and Trend-coded signals to visually represent market conditions for easier analysis. The RTI Threshold Index is created and meant for long term investments targeted for longer swing trades over a few months to years.
How Do Investors Use the RTI Trend Index?
In the provided chart image, the indicator is displayed on a Bitcoin price chart. Here’s what each visual component represents:
INTENDED USES
The RTI Threshold Index is NOT intended for SCALPING.
With the nature of its components and calculations. This indicator will give false signals when the Timeframe is too low. The best intended use for high-quality signals are above the 12hr timeframes (Note: Coded to be used above 1 Day Timeframes)
The RTI Threshold Index is a TREND-FOLLOWING and MEAN REVERTING INDICATOR . With the explanation below of the image you can see both Trend-Following and Mean Reversion Uses.
A VISUAL REPRESENTATION INTENDED USES
Relative Trend Index Line (Green/Red): The main RTI line changes colors based on long or short conditions, providing an immediate visual cue of the trend direction. This conditional state enter long when the RTI is greater than the long threshold and will not enter short until it is less than the short threshold. (vice versa) When the RTI is less than the short threshold and will not enter long until it is greater than the long threshold.
EMA of RTI: A smoothed version of the RTI in yellow for more stable trend analysis. This EMA can be used for LONGER TERM trends. When the smoothed RTI is above 50, investors can assume that the trend will be in a trending state. Because this is slower than the RTI, you will get slower entries and slower exits.
Threshold Lines: Green and red lines for long and short thresholds, along with dashed lines for overbought and oversold levels. These lines can be calibrated to allow the RTI to enter a long trending or short trending state. The lower the value is for Long Threshold line , it will enter a long trend faster. The higher the value for Short Threshold Line , it will exit faster. We can also set Overbought and Oversold Thresholds. With the RTI entering above the Overbought Threshold line, Investors can assume that the environment is getting heated or is overbought. Same for oversold with the RTI entering below the Oversold Threshold line, Investors can assume that the environment is getting heated or is overbought.
Gradient Background: Shaded overbought and oversold areas improve readability by distinguishing these zones. This coloring of the shaded area tells us the oversold and overbought levels.
Colored Candles: Candles change color based on the RTI condition, aligning the price action visually with the trend status. The Green symbolizes a long state while red symbolizes a short state.
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The indicator's primary elements include:
Input Parameters: Configurable settings for trend length, sensitivity, moving average (MA) period, thresholds, and overbought/oversold levels.
RTI Calculation: Computation of trend boundaries and the RTI value based on the price's position within these boundaries.
Visual Components: Horizontal threshold lines, plotted RTI values, color-coded candles, and gradient fills for overbought and oversold zones.
1. Input Parameters
The script includes several configurable inputs, allowing users to customize the indicator’s sensitivity and behavior according to market conditions:
Trend Length: Controls the number of data points for trend calculations. Higher values produce a smoother, less responsive trend, while lower values make the trend more sensitive to recent price changes.
Trend Sensitivity: Sets the sensitivity by defining the upper and lower percentiles for the trend boundaries. Higher sensitivity values make the RTI less reactive, while lower values increase responsiveness.
MA length: Defines the period for the Exponential Moving Average (EMA) applied to the RTI, smoothing its output.
longThreshold and shortThreshold: Set the levels for entering long and short positions. The RTI crossing above longThreshold or below shortThreshold signals a long or short condition, respectively.
Overbought and oversold thresholds: When RTI exceeds overbought or falls below oversold, it indicates overbought or oversold market conditions.
2. Relative Trend Index (RTI) Calculation
The RTI is calculated by dynamically setting upper and lower trend boundaries:
Upper Trend and Lower Trend: Calculated by adding and subtracting the standard deviation of the closing price to/from the close, providing a measure of price variation.
upper array and Lower Arrays : Arrays that hold the upper and lower trend values over the specified trend length period.
Sorting and Indexing: After sorting these arrays, the values at specific percentiles (based on trend sensitivity) are selected as UpperTrend and LowerTrend.
RTI formula: The RTI is calculated by normalizing the close price within the range of UpperTrend and LowerTrend. This yields a percentage that reflects the price's relative position within the trend range.
3. Threshold and Signal Lines
Several horizontal lines mark key threshold levels:
midline: A dashed line at 50, marking the RTI midpoint.
overbought and oversold: Dashed lines for the overbought and oversold levels as set by overbought and oversold.
long hline and short hline: Solid lines marking the longThreshold and shortThreshold levels for entering long and short trades. They are colored Green for long threshold and Red for short threshold
4. Long and Short Conditions
The script defines long and short conditions based on the RTI’s position relative to the longThreshold and shortThreshold:
isLong: Set to true when the RTI exceeds longThreshold, signaling a long condition.
isShort: Set to true when the RTI drops below shortThreshold, signaling a short condition. overboughtcandles and oversoldcandles: Boolean variables that indicate when the RTI crosses the overbought or oversold thresholds, enhancing visual feedback.
5. Color Coding
Color-coded elements help to visually indicate the RTI's current state:
rtiColor: Sets the RTI line color based on the long or short condition (green for long, red for short).
obosColor: Colors specific candles in the overbought (yellow) and oversold (purple) regions, adding clarity to these conditions.
6. Plotting and Visualization
The following components display the RTI indicator and its conditions visually:
RTI and EMA Plot: The RTI line is plotted alongside an EMA line for smooth trend observation. The RTI line uses the conditional colors to indicate market conditions.
Background Gradient Fill: Shaded areas between the overbought and oversold levels highlight these zones in the background.
Colored Candles: Candles on the price chart are color-coded based on the RTI condition (green for long, red for short), making it easy to see trend direction changes.
Overbought and Oversold Gradient Fill: Gradient fills are applied to the overbought and oversold regions, creating a visual effect when the RTI reaches extreme levels.
Conclusion
The RTI Threshold Indicator is a powerful tool for assessing trend strength and market conditions. With configurable parameters, it adapts well to various timeframes and market environments, providing investors with a reliable means to identify potential entry and exit points. With configurable parameters, RTI Threshold Indicator can identify market conditions for potential buy and sell zones.
Half Trend Regression [AlgoAlpha]Introducing the Half Trend Regression indicator by AlgoAlpha, a cutting-edge tool designed to provide traders with precise trend detection and reversal signals. This indicator uniquely combines linear regression analysis with ATR-based channel offsets to deliver a dynamic view of market trends. Ideal for traders looking to integrate statistical methods into their analysis to improve trade timing and decision-making.
Key Features
🎨 Customizable Appearance : Adjust colors for bullish (green) and bearish (red) trends to match your charting preferences.
🔧 Flexible Parameters : Configure amplitude, channel deviation, and linear regression length to tailor the indicator to different time frames and trading styles.
📈 Dynamic Trend Line : Utilizes linear regression of high, low, and close prices to calculate a trend line that adapts to market movements.
🚀 Trend Direction Signals : Provides clear visual signals for potential trend reversals with plotted arrows on the chart.
📊 Adaptive Channels : Incorporates ATR-based channel offsets to account for market volatility and highlight potential support and resistance zones.
🔔 Alerts : Set up alerts for bullish or bearish trend changes to stay informed of market shifts in real-time.
How to Use
🛠 Add the Indicator : Add the Half Trend Regression indicator to your chart from the TradingView library. Access the settings to customize parameters such as amplitude, channel deviation, and linear regression length to suit your trading strategy.
📊 Analyze the Trend : Observe the plotted trend line and the filled areas under it. A green fill indicates a bullish trend, while a red fill indicates a bearish trend.
🔔 Set Alerts : Use the built-in alert conditions to receive notifications when a trend reversal is detected, allowing you to react promptly to market changes.
How It Works
The Half Trend Regression indicator calculates linear regression lines for the high, low, and close prices over a specified period to determine the general direction of the market. It then computes moving averages and identifies the highest and lowest points within these regression lines to establish a dynamic trend line. The trend direction is determined by comparing the moving averages and previous price levels, updating as new data becomes available. To account for market volatility, the indicator calculates channels above and below the trend line, offset by a multiple of half the Average True Range (ATR). These channels help visualize potential support and resistance zones. The area under the trend line is filled with color corresponding to the current trend direction—green for bullish and red for bearish. When the trend direction changes, the indicator plots arrows on the chart to signal a potential reversal, and alerts can be set up to notify you. By integrating linear regression and ATR-based channels, the indicator provides a comprehensive view of market trends and potential reversal points, aiding traders in making informed decisions.
Enhance your trading strategy with the Half Trend Regression indicator by AlgoAlpha and gain a statistical edge in the markets! 🌟📊
Multi-Timeframe Supertrend Dashboard - EnhancedOverview
The Multi-Timeframe Supertrend Dashboard is a powerful tool designed to give traders a clear view of market trends across multiple timeframes, all from a single dashboard. This indicator leverages the Supertrend method to calculate buy and sell signals based on the direction of price relative to dynamically calculated support and resistance lines. The dashboard is optimized for dark mode and provides easy-to-interpret color-coded signals for each timeframe.
How It Works
The Supertrend indicator is a trend-following indicator that uses the Average True Range (ATR) to set upper and lower bands around the price, adapting dynamically as volatility changes. When the price is above the Supertrend line, the market is considered in an uptrend, triggering a "BUY" signal. Conversely, when the price falls below the Supertrend line, the market is in a downtrend, triggering a "SELL" signal.
This Multi-Timeframe Supertrend Dashboard calculates Supertrend signals for the following timeframes:
1 minute
5 minutes
15 minutes
1 hour
Daily
Weekly
Monthly
For each timeframe, the dashboard shows either a "BUY" or "SELL" signal, allowing traders to assess whether trends align across timeframes. A "BUY" signal displays in green, and a "SELL" signal displays in red, giving a quick visual reference of the overall trend direction for each timeframe.
Customization Options
ATR Period: Defines the period for the Average True Range (ATR) calculation, which determines how responsive the Supertrend lines are to changes in market volatility.
Multiplier: Sets the sensitivity of the Supertrend bands to price movements. Higher values make the bands less sensitive, while lower values increase sensitivity, allowing quicker reactions to changes in price.
How to Interpret the Dashboard
The Multi-Timeframe Supertrend Dashboard allows traders to see at a glance if trends across multiple timeframes are aligned. Here’s how to interpret the signals:
BUY (Green): The current timeframe’s price is in an uptrend based on the Supertrend calculation.
SELL (Red): The current timeframe’s price is in a downtrend based on the Supertrend calculation.
For example:
If all timeframes display "BUY," the asset is in a strong uptrend across multiple time horizons, which may indicate a bullish market.
If all timeframes display "SELL," the asset is likely in a strong downtrend, signaling a bearish market.
Mixed signals across timeframes suggest market consolidation or differing trends across short- and long-term periods.
Use Cases
Trend Confirmation: Use the dashboard to confirm trends across multiple timeframes before entering or exiting a position.
Quick Market Analysis: Get a snapshot of market conditions across timeframes without having to change charts.
Multi-Timeframe Alignment: Identify alignment across timeframes, which is often a strong indicator of market momentum in one direction.
Dark Mode Optimization
The dashboard has been optimized for dark mode, with white text and contrasting background colors to ensure easy readability on darker TradingView themes.
Weekly Range & Trend (Signed)Weekly Trend & Range is basically calculated every week.
It helps to get a broad idea whether coming week market can be directional , volatile or range bound action. So this helps me to get a hint which style of approach should be given more important on positional basis like directional or non-directional.
I mostly track in NSE:BANKNIFTY , NSE:NIFTY , BSE:SENSEX
For example:
Average range difference of past 4 weeks is bigger in compare to current week range difference means good chance for directional opportunities.
Average range difference of past 4 weeks is lesser in compare to current week range difference means good chance for non-directional opportunities.
Directional or Non-directional hint is been shown in terms of probability . So based on this i plan my week and trades.
Target Trend [BigBeluga]The Target Trend indicator is a trend-following tool designed to assist traders in capturing directional moves while managing entry, stop loss, and profit targets visually on the chart. Using adaptive SMA bands as the core trend detection method, this indicator dynamically identifies shifts in trend direction and provides structured exit points through customizable target levels.
SP500:
🔵 IDEA
The Target Trend indicator’s concept is to simplify trade management by providing automated visual cues for entries, stops, and targets directly on the chart. When a trend change is detected, the indicator prints an up or down triangle to signal entry direction, plots three customizable target levels for potential exits, and calculates a stop-loss level below or above the entry point. The indicator continuously adapts as price moves, making it easier for traders to follow and manage trades in real time.
When price crosses a target level, the label changes to a check mark, confirming that the target has been achieved. Similarly, if the stop-loss level is hit, the label changes to an "X," and the line becomes dashed, indicating that the stop loss has been activated. This feature provides traders with a clear visual trail of whether their targets or stop loss have been hit, allowing for easier trade tracking and exit strategy management.
🔵 KEY FEATURES & USAGE
SMA Bands for Trend Detection: The indicator uses adaptive SMA bands to identify the trend direction. When price crosses above or below these bands, a new trend is detected, triggering entry signals. The entry point is marked on the chart with a triangle symbol, which updates with each new trend change.
Automated Targets and Stop Loss Management: Upon a new trend signal, the indicator automatically plots three price targets and a stop loss level. These levels provide traders with structured exit points for potential gains and a clear risk limit. The stop loss is placed below or above the entry point, depending on the trend direction, to manage downside risk effectively.
Visual Target and Stop Loss Validation: As price hits each target, the label beside the level updates to a check mark, indicating that the target has been reached. Similarly, if the stop loss is activated, the stop loss label changes to an "X," and the line becomes dashed. This feature visually confirms whether targets or stop losses are hit, simplifying trade management.
The indicator also marks the entry price at each trend change with a label on the chart, allowing traders to quickly see their initial entry point relative to current price and target levels.
🔵 CUSTOMIZATION
Trend Length: Set the lookback period for the trend-detection SMA bands to adjust the sensitivity to trend changes.
Targets Setting: Customize the number and spacing of the targets to fit your trading style and market conditions.
Visual Styles: Adjust the appearance of labels, lines, and symbols on the chart for a clearer view and personalized layout.
🔵 CONCLUSION
The Target Trend indicator offers a streamlined approach to trend trading by integrating entry, target, and stop loss management into a single visual tool. With automatic tracking of target levels and stop loss hits, it helps traders stay focused on the current trend while keeping track of risk and reward with minimal effort.
Dynamic Market Correlation Analyzer (DMCA) v1.0Description
The Dynamic Market Correlation Analyzer (DMCA) is an advanced TradingView indicator designed to provide real-time correlation analysis between multiple assets. It offers a comprehensive view of market relationships through correlation coefficients, technical indicators, and visual representations.
Key Features
- Multi-asset correlation tracking (up to 5 symbols)
- Dynamic correlation strength categorization
- Integrated technical indicators (RSI, MACD, DX)
- Customizable visualization options
- Real-time price change monitoring
- Flexible timeframe selection
## Use Cases
1. **Portfolio Diversification**
- Identify highly correlated assets to avoid concentration risk
- Find negatively correlated assets for hedging strategies
- Monitor correlation changes during market events
2. Pairs Trading
- Detect correlation breakdowns for potential trading opportunities
- Track correlation strength for pair selection
- Monitor technical indicators for trade timing
3. Risk Management
- Assess portfolio correlation risk in real-time
- Monitor correlation shifts during market stress
- Identify potential portfolio vulnerabilities
4. **Market Analysis**
- Study sector relationships and rotations
- Analyze cross-asset correlations (e.g., stocks vs. commodities)
- Track market regime changes through correlation patterns
Components
Input Parameters
- **Timeframe**: Custom timeframe selection for analysis
- **Length**: Correlation calculation period (default: 20)
- **Source**: Price data source selection
- **Symbol Selection**: Up to 5 customizable symbols
- **Display Options**: Table position, text color, and size settings
Technical Indicators
1. **Correlation Coefficient**
- Range: -1 to +1
- Strength categories: Strong/Moderate/Weak (Positive/Negative)
2. **RSI (Relative Strength Index)**
- 14-period default setting
- Momentum comparison across assets
3. **MACD (Moving Average Convergence Divergence)**
- Standard settings (12, 26, 9)
- Trend direction indicator
4. **DX (Directional Index)**
- Trend strength measurement
- Based on DMI calculations
Visual Components
1. **Correlation Table**
- Symbol identifiers
- Correlation coefficients
- Correlation strength descriptions
- Price change percentages
- Technical indicator values
2. **Correlation Plot**
- Real-time correlation visualization
- Multiple correlation lines
- Reference levels at -1, 0, and +1
- Color-coded for easy identification
Installation and Setup
1. Load the indicator on TradingView
2. Configure desired symbols (up to 5)
3. Adjust timeframe and calculation length
4. Customize display settings
5. Enable/disable desired components (table, plot, RSI)
Best Practices
1. **Symbol Selection**
- Choose related but distinct assets
- Include a mix of asset classes
- Consider market cap and liquidity
2. **Timeframe Selection**
- Match timeframe to trading strategy
- Consider longer timeframes for strategic analysis
- Use shorter timeframes for tactical decisions
3. **Interpretation**
- Monitor correlation changes over time
- Consider multiple timeframes
- Combine with other technical analysis tools
- Account for market conditions and volatility
Performance Notes
- Calculations update in real-time
- Resource usage scales with number of active symbols
- Historical data availability may affect initial calculations
Version History
- v1.0: Initial release with core functionality
- Multi-symbol correlation analysis
- Technical indicator integration
- Customizable display options
Future Enhancements (Planned)
- Additional technical indicators
- Advanced correlation algorithms
- Enhanced visualization options
- Custom alert conditions
- Statistical significance testing
ROCnRollThe ROCnRoll indicator can be used on any asset and aims to generate bullish or bearish signals based on market trends, assisting investors in making buy or sell decisions.
This technical indicator combines two well-known and complementary indicators:
The Rate of Change (ROC)
The Exponential Moving Average (EMA)
With these two tools, the ROCnRoll indicator accurately, precisely, and flexibly reflects the volatility of the analyzed asset prices.
FMS Suite [KFB Quant]FMS Suite
Overview
The FMS Suite is a powerful and adaptive trend and momentum analysis tool that leverages multiple technical indicators to deliver a comprehensive signal for market direction. This suite combines the strengths of the Aroon, DMI, RSI, Supertrend, and Trix indicators, offering traders a well-rounded perspective on market trends.
How It Works
The FMS Suite integrates five essential components to assess market behavior:
Aroon Indicator : Detects trend strength and direction by analyzing the frequency of recent highs and lows over multiple timeframes. Directional Movement Index (DMI) : Measures the direction and strength of trends, with an ADX component for better trend assessment. Relative Strength Index (RSI) : Evaluates market momentum by indicating overbought or oversold conditions, with signals derived from the 50-line. Supertrend : Utilizes ATR-based volatility measures to establish dynamic support and resistance levels, signaling potential trend changes. Trix : A triple-smoothed EMA oscillator that highlights trend reversals using rate-of-change dynamics.
Each component is calculated across three separate timeframes (fast, medium, and slow), which are then averaged to produce a final FMS Signal . Users can also apply signal smoothing to reduce noise and enhance clarity.
Key Features
Customizable Parameters : Adjust the lengths for each component (fast, medium, slow) to optimize the indicator's responsiveness to different markets. Signal Smoothing Options : Select from various smoothing methods, including SMA, EMA, DEMA, and WMA, to fine-tune the FMS signal. Visual Representation : The FMS Suite plots a histogram representing the raw signal and a smoother line for clearer trend visualization. The background color shifts dynamically to indicate long, short, or neutral conditions. Threshold-Based Alerts : Set your own long and short thresholds, tailoring the indicator to your trading strategy and market outlook. Informative Table Display : An integrated table provides an at-a-glance summary of the current FMS and smoothed FMS signals, along with their respective scores and market state.
How to Use
Trend Confirmation : Utilize the FMS histogram and smoothed signal to validate or challenge existing trend assumptions. Trade Entries and Exits : Identify potential buy (long) or sell (short) signals based on the relationship between the FMS signal and predefined thresholds. Strategy Customization : Fine-tune the indicator settings to align with your trading style, whether it’s short-term scalping or long-term trend following.
Important Considerations
Not Predictive : The FMS Suite does not predict future price movements and should be used in conjunction with other analysis methods. It is based on historical price data, and past performance is not indicative of future results. Settings and Backtesting : Experiment with different lengths and smoothing techniques to optimize performance for specific instruments and market conditions. Always backtest thoroughly.
Disclaimer: This tool is provided for informational and educational purposes only and should not be considered as financial advice. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.
