BX-Volume Trend and OscillatorBX-Volume Trend and Oscillator (VTO)
This is my second indicator. I created this indicator for myself. I was inspired by the indicators created by Bjorgum, Duyck and QuantTherapy and decided to create multiple indicators that either work well combined with their indicators or something new that applies some of their indicator concepts. I decided to share this because I believe in learning and earing together as a community. I will later share the rest of the indicators I have created. If you guys have any questions or suggestions write them.
The BX-Volume Trend and Oscillator (VTO) is a comprehensive trading indicator designed to help traders identify trends, momentum shifts, and potential reversals by analyzing volume and price action through various metrics. This indicator combines relative volume analysis with custom Xtrender oscillators and moving averages to provide valuable insights into market behavior.
Image: BX-Volume Trend and Oscillator (VTO)
Features:
Relative Volume Analysis: Measures the current volume relative to the average volume over a specified period, helping traders understand if the current trading activity is unusually high or low.
Short-Term Xtrender Oscillator: This oscillator analyzes the difference between two short-term Exponential Moving Averages (EMAs) and smooths it with a custom RSI, highlighting short-term trends and potential reversal points.
Long-Term Xtrender Oscillator: Similar to the short-term oscillator but uses longer-term EMAs and RSI for identifying more sustained trends and shifts.
T3 Moving Average: A smoothed version of the Xtrender oscillator that helps in detecting trend changes more clearly.
Volume Trend Plot: Shows the smoothed relative volume to understand how trading activity aligns with the trend.
Visual Indicators: Uses colors and shapes to highlight significant changes and trends, such as circles to mark potential reversal points.
How to Use the Indicator
Analyze Relative Volume:
Relative Volume Plot: The smoothed relative volume is displayed in white, helping you assess if current trading volumes are above or below the historical average.
High Relative Volume: Indicates strong trading interest, which could support or contradict the prevailing trend.
Image above: is set to daily timeframe
Monitor Short-Term Xtrender Oscillator
Short-Term Xtrender: Plotted as a column histogram with colors changing from green to red based on the oscillator's movement and momentum. Green and lime colors indicate bullish trends, while maroon and red suggest bearish conditions.
Smoothed Short-Term Xtrender (T3): Plotted as a line that adjusts color based on the short-term Xtrender's trend. The line changes color to match the histogram's color, providing a clearer view of momentum shifts.
Reversal Markers: Small circles indicate potential short-term trend reversals, where changes in the T3 moving average suggest shifts in momentum.
Assess Long-Term Xtrender Oscillator:
Long-Term Xtrender: Plotted as a histogram, with color changes similar to the short-term Xtrender. It shows longer-term trends and shifts.
Color Indicators: Lime and green colors suggest an uptrend, while red and maroon indicate a downtrend.
Look for Zero Line Crossings:
The zero line serves as a reference point. Crossings above the zero line may indicate bullish trends, while crossings below may signal bearish trends.
Image above: is set to daily timeframe, and it showcases the Short-Term Xtrender (T3) applied.
Image above: is set to 8hr timeframe: Using the lower timeframe you can spot better details of pullbacks and potential reversals.
Example of Use:
Identify Trend and Momentum: Use the combination of the short-term and long-term Xtrender oscillators to gauge the prevailing market trend. For instance, if both oscillators are above zero and showing upward momentum, it suggests a strong bullish trend.
Spot Reversals: Observe the short-term Xtrender and its smoothed T3 version. If the T3 line changes direction and crosses through previous peaks and troughs, it could signal a potential reversal.
Volume Confirmation: Check the relative volume and its smoothed version to confirm the strength of price movements. Significant changes in volume can validate the trends indicated by the Xtrender oscillators.
By combining these elements, the BX-Volume Trend and Oscillator (VTO) provides a holistic view of market dynamics, helping traders make more informed decisions based on trend strength, potential reversals, and volume activity.
Lastly, my Scripts/Indicators/Ideas /Systems that I share are only for educational purposes!
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TASC 2024.08 Volume Confirmation For A Trend System█ OVERVIEW
This script demonstrates the use of volume data to validate price movements based on the techniques Buff Pelz Dormeier discusses in his "Volume Confirmation For A Trend System" article from the August 2024 edition of TASC's Traders' Tips . It presents a trend-following system implementation that utilizes a combination of three indicators: the Average Directional Index (ADX), the Trend Thrust Indicator (TTI), and the Volume Price Confirmation Indicator (VPCI).
█ CONCEPTS
In his article, Buff Pelz Dormeier recounts his search for an optimal trend-following strategy enhanced with volume data, starting with a simple system combining the ADX , MACD , and OBV indicators. Even in these early tests, the author observed that the volume confirmation from OBV notably improved trading performance. Subsequently, the author replaced OBV with his VPCI, which considers the proportional weights of volume and price, to enhance the validation of trend momentum. Lastly, the author explored the inclusion of his TTI, a modified MACD that features volume-based enhancements, as a strategy component for improved trend-following performance.
According to the author's research, the ADX+TTI+VPCI system outperformed similar strategies he tested in the article, yielding significantly higher returns and enhanced perceived reliability. Because the system's design revolves around catching pronounced trends, it performs best with a portfolio of individual stocks. The author applies the system in the article by allocating 5% of the equity to long positions in S&P 500 components that meet the ADX+TTI+VPCI entry criteria (see the Calculations section below for details). He uses the proceeds from closing positions to enter new positions in other stocks meeting the screening criteria, holding any excess proceeds in cash.
█ CALCULATIONS
The TTI is similar to the MACD. Its calculation entails the following steps:
Calculate fast (short-term) and slow (long-term) volume-weighted moving averages (VWMAs).
Compute the volume multiple (VM) as the square of the ratio of the fast VWMA to the slow VWMA.
Adjust these averages by multiplying the fast VWMA by the VM and dividing the slow VWMA by the VM.
Calculate the difference between the adjusted VWMAs to determine the TTI value, and take the average of that series to determine the signal line value.
The VPCI utilizes differences and ratios between VWMAs and corresponding simple moving averages (SMAs) to provide an alternative volume-price confirmation tool. Its calculation is as follows:
Subtract the slow SMA from the VWMA of the same length to calculate the volume-price confirmation/contradiction (VPC) value.
Divide the fast VWMA by the corresponding fast SMA to determine the volume-price ratio (VPR).
Divide the short-term VWMA by the long-term VWMA to calculate the VM.
Compute the VPCI as the product of the VPC, VPR, and VM values.
The long entry criteria of the ADX+TTI+VPCI system are as follows:
The ADX is above 30.
The TTI crosses above its signal line.
The VPCI is above 0, confirming the trend.
Signals to close positions occur when the VPCI is below 0, indicating a contradiction .
NOTE: Unlike in the article, this script applies the ADX+TTI+VPCI system to one stock at a time , not a portfolio of S&P 500 constituents.
█ DISCLAIMER
This strategy script educates users on the trading system outlined by the TASC article. By default, it uses 10% of equity as the order size and a slippage amount of 5 ticks. Traders should adjust these settings and the commission amount when using this script.
Zero Lag Exponential Moving Average ForLoop [InvestorUnknown]Overview
The Zero Lag Exponential Moving Average (ZLEMA) ForLoop indicator is designed for traders seeking a responsive and adaptive tool to identify trend changes. By leveraging a range of lengths and different moving average (MA) types, this indicator helps smooth out price data and provides timely signals for market entry and exit.
User Inputs
Start and End Lengths: Define the range of lengths over which the IIRF values are calculated.
Moving Average Type: Choose from EMA, SMA, WMA, VWMA, or TMA for trend smoothing.
Moving Average Length: Specify the length for the chosen MA type.
Calculation Source: Select the price data used for calculations.
Signal Calculation
Signal Mode (sigmode): Determines the type of signal generated by the indicator. Options are "Fast", "Slow", "Thresholds Crossing", and "Fast Threshold".
1. Slow: is a simple crossing of the midline (0).
2. Fast: positive signal depends if the current MA > MA or MA is above 0.99, negative signals comes if MA < MA or MA is below -0.99.
3. Thresholds Crossing: simple ta.crossover and ta.crossunder of the user defined threshold for Long and Short.
4. Fast Threshold: signal changes if the value of MA changes by more than user defined threshold against the current signal
col1 = MA > 0 ? colup : coldn
var color col2 = na
if MA > MA or MA > 0.99
col2 := colup
if MA < MA or MA < -0.99
col2 := coldn
var color col3 = na
if ta.crossover(MA,longth)
col3 := colup
if ta.crossunder(MA,shortth)
col3 := coldn
var color col4 = na
if (MA > MA + fastth)
col4 := colup
if (MA < MA - fastth)
col4 := coldn
color col = switch sigmode
"Slow" => col1
"Fast" => col2
"Thresholds Crossing" => col3
"Fast Threshold" => col4
Visualization Settings
Bull Color (colup): The color used to indicate bullish signals.
Bear Color (coldn): The color used to indicate bearish signals.
Color Bars (barcol): Option to color the bars based on the signal.
Custom function
// Function to calculate an array of ZLEMA values over a range of lengths
ZLEMAForLoop(a, b, c, s) =>
// Initialize an array to hold ZLEMA trend values
var Array = array.new_float(b - a + 1, 0.0)
// Loop through the range from 'a' to 'b'
for x = 0 to (b - a)
// Calculate the current length
len = a + x
// Calculate the lag based on the length
lag = math.floor((len - 1) / 2)
// Calculate the smoothing factor alpha
alpha = 2 / (len + 1)
// Initialize the ZLEMA variable
zlema = 0.0
// Compute the ZLEMA value
zlema := na(zlema ) ? (s + s - s ) : alpha * (s + s - s ) + (1 - alpha) * nz(zlema )
// Determine the trend based on ZLEMA value
trend = zlema > zlema ? 1 : -1
// Store the trend in the array
array.set(Array, x, trend)
// Calculate the average of the trend values
Avg = array.avg(Array)
// Apply the selected moving average type to the average trend value
float MA = switch maType
"EMA" => ta.ema(Avg, c) // Exponential Moving Average
"SMA" => ta.sma(Avg, c) // Simple Moving Average
"WMA" => ta.wma(Avg, c) // Weighted Moving Average
"VWMA" => ta.vwma(Avg, c) // Volume-Weighted Moving Average
"TMA" => ta.trima(Avg, c) // Triangular Moving Average
=>
runtime.error("No matching MA type found.") // Error handling for unsupported MA type
float(na)
// Return the array of trends, the average trend, and the moving average
Important Considerations
Speed vs. Stability: The ZLEMA ForLoop is designed for fast response times, making it ideal for short-term trading strategies. However, its sensitivity also means it may generate more signals, some of which could be false positives.
Use with Other Indicators: To improve the reliability of the signals, it is recommended to use the ZLEMA ForLoop in conjunction with other technical indicators.
Customization: Tailor the settings to match your trading style and risk tolerance. Adjusting the lengths, MA type, and thresholds can significantly impact the indicator's performance.
Conclusion
The ZLEMA ForLoop indicator offers a flexible tool for traders looking to capture trend changes quickly. By providing multiple modes and customization options, it allows traders to fine-tune their analysis and make informed decisions. For best results, use this indicator alongside other analytical tools to confirm signals and avoid potential false entries.
Aroon ForLoop [InvestorUnknown]Overview
The Aroon ForLoop indicator is designed to calculate an array of Aroon values over a range of lengths, providing trend signals based on various moving averages. It offers flexibility with different signal modes and visual customizations.
User Input
Start Length (a) and End Length (b): Defines the range for calculating Aroon values.
MA Type (maType) and MA Length (c): Selects the moving average type (EMA, SMA, WMA, VWMA, TMA) and its length.
Calculation Source (s): Specifies the data source for calculations.
Signal Mode (sigmode): Offers options like Fast, Slow, Thresholds Crossing, and Fast Threshold to generate signals.
Thresholds: Configures long and short thresholds for signal generation.
Visualization Options: Customizes bull and bear colors, and enables/disables bar coloring.
Alert Settings: Chooses whether to wait for bar close for alert confirmation.
Signal Calculation
Signal Mode (sigmode): Determines the type of signal generated by the indicator. Options are "Fast", "Slow", "Thresholds Crossing", and "Fast Threshold".
1. Slow: is a simple crossing of the midline (0).
2. Fast: positive signal depends if the current MA > MA or MA is above 0.99, negative signals comes if MA < MA or MA is below -0.99.
3. Thresholds Crossing: simple ta.crossover and ta.crossunder of the user defined threshold for Long and Short.
4. Fast Threshold: signal changes if the value of Aroon MA changes by more than user defined threshold against the current signal
col1 = MA > 0 ? colup : coldn
var color col2 = na
if MA > MA or MA > 0.99
col2 := colup
if MA < MA or MA < -0.99
col2 := coldn
var color col3 = na
if ta.crossover(MA,longth)
col3 := colup
if ta.crossunder(MA,shortth)
col3 := coldn
var color col4 = na
if (MA > MA + fastth)
col4 := colup
if (MA < MA - fastth)
col4 := coldn
color col = na
if sigmode == "Slow"
col := col1
if sigmode == "Fast"
col := col2
if sigmode == "Thresholds Crossing"
col := col3
if sigmode == "Fast Threshold"
col := col4
else
na
Visualization Settings
Bull Color (colup): The color used to indicate bullish signals.
Bear Color (coldn): The color used to indicate bearish signals.
Color Bars (barcol): Option to color the bars based on the signal.
Custom Function
AroonForLoop: Calculates Aroon values over the specified range, determines the trend, and averages the results using the chosen moving average type.
AroonForLoop(a, b, c) =>
var SignalArray = array.new_float(b - a + 1, 0.0)
for x = 0 to (b - a)
len = a + x
upper = 100 * (ta.highestbars(high, len + 1) + len)/len
lower = 100 * (ta.lowestbars(low, len + 1) + len)/len
trend = upper > lower ? 1 : -1
array.set(SignalArray, x, trend)
Avg = array.avg(SignalArray)
float MA = switch maType
"EMA" => ta.ema(Avg, c)
"SMA" => ta.sma(Avg, c)
"WMA" => ta.wma(Avg, c)
"VWMA" => ta.vwma(Avg, c)
"TMA" => ta.trima(Avg, c)
=>
runtime.error("No matching MA type found.")
float(na)
Important Considerations
Fast Responses: The Aroon ForLoop indicator is designed for quick identification of trend changes, making it ideal for fast-paced trading environments.
Moving Average Types: Supports various MA types (EMA, SMA, WMA, VWMA, TMA) for adaptable smoothing of trend signals.
Combination with Other Indicators: For more reliable signals, use this indicator in conjunction with other technical indicators.
MAC Investor V3.0 [VK]This indicator combines multiple functionalities to assist traders in making informed decisions. It primarily uses Heikin Ashi candles, Moving Averages, and a Price Action Channel (PAC) to provide signals for entering and exiting trades. Here's a detailed breakdown:
Inputs
MAC Length: Sets the length for the PAC calculation.
Use Heikin Ashi Candles: Option to use Heikin Ashi candles for calculations.
Show Coloured Bars around MAC: Option to color bars based on their relation to the PAC.
Show Long/Short Signals: Options to display long and short signals.
Show MAs? : Option to show moving averages on the chart.
Show MAs Trend at the Bottom?: Option to show trend signals at the bottom of the chart.
MA Lengths: Length settings for three different moving averages.
Change MA Color Based on Direction?: Option to change the color of moving averages based on trend direction.
MA Higher TimeFrame: Allows setting a higher timeframe for moving averages.
Show SL-TP Lines: Option to display Stop Loss and Take Profit lines.
SL/TP Percentages: Set the percentages for Stop Loss and three levels of Take Profit.
Calculations and Features
Heikin Ashi Candles: Calculations are based on Heikin Ashi candle data if selected.
Price Action Channel (PAC): Uses Exponential Moving Averages (EMA) of the high, low, and close to create a channel.
Bar Coloring: Colors the bars based on their position relative to the PAC.
Long and Short Signals: Uses crossovers of the close price and PAC upper/lower bands to generate signals.
Moving Averages (MA): Plots three moving averages and colors them based on their trend direction.
Overall Trend Indicators: Uses triangles at the bottom of the chart to show the overall trend of the MAs.
Stop Loss and Take Profit Levels: Calculates and plots these levels based on user-defined percentages from the entry price.
Alerts: Provides alerts for long and short signals.
Use Cases and How to Use
Identifying Trends: The PAC helps to identify the trend direction. If the closing price is above the PAC upper band, it suggests an uptrend; if below the lower band, it suggests a downtrend.
Entering Trades: Use the long and short signals to enter trades. A long signal is generated when the closing price crosses above the PAC upper band, and a short signal is generated when it crosses below the PAC lower band.
Exit Strategies: Utilize the Stop Loss (SL) and Take Profit (TP) levels to manage risk and lock in profits. These levels are automatically calculated based on the entry price and user-defined percentages.
Trend Confirmation with MAs: The moving averages provide additional confirmation of the trend. When all three MAs are trending in the same direction (e.g., all green for an uptrend), it adds confidence to the trade signal.
Overall Trend Indicators: The triangles at the bottom of the chart show the overall trend direction of the MAs:
Green Triangle: All three MAs are trending upwards, indicating a strong uptrend.
Red Triangle: All three MAs are trending downwards, indicating a strong downtrend.
Yellow Triangle: Mixed signals from the MAs, indicating no clear trend.
Bar Coloring for Quick Analysis: The colored bars give a quick visual cue about the market condition, aiding in faster decision-making.
Alerts: Set up alerts to get notified when a long or short signal is generated, allowing you to act promptly without constantly monitoring the chart.
Maximizing Profit
To maximize profit with this indicator:
Follow the Signals: Use the long and short signals to time your entries. Ensure you follow the trend indicated by the PAC and MAs.
Risk Management: Always set your Stop Loss and Take Profit levels to manage risk. This will help you cut losses early and secure profits.
Confirm with MAs: Look for confirmation from the moving averages. When all MAs align with the signal, it indicates a stronger trend.
Overall Trend Indicators: Pay attention to the triangles at the bottom for overall trend confirmation. Only enter trades when the overall trend is in your favor.
Heikin Ashi for Smoothing: Use Heikin Ashi candles for smoother trends and fewer false signals.
Backtesting: Test the indicator on historical data to understand its performance and adjust settings as necessary.
Adapt to Market Conditions: Adjust the lengths of PAC and MAs based on the market's volatility and timeframe you are trading on.
How to Use the Indicator
Add to Chart: Add the indicator to your TradingView chart.
Configure Settings: Customize the input settings to fit your trading strategy and timeframe.
Monitor Signals: Watch for long and short signals and observe the trend direction with the PAC and MAs.
Check Overall Trend: Look at the triangles at the bottom of the chart to see the overall trend direction of the MAs.
Set Alerts: Configure alerts to get notified of new signals.
Manage Trades: Use the SL and TP levels to manage your trades effectively.
BBTrend w SuperTrend decision - Strategy [presentTrading]This strategy aims to improve upon the performance of Traidngview's newly published "BB Trend" indicator by incorporating the SuperTrend for better trade execution and risk management. Enjoy :)
█Introduction and How it is Different
The "BBTrend w SuperTrend decision - Strategy " is a trading strategy designed to identify market trends using Bollinger Bands and SuperTrend indicators. What sets this strategy apart is its use of two Bollinger Bands with different lengths to capture both short-term and long-term market trends, providing a more comprehensive view of market dynamics. Additionally, the strategy includes customizable take profit (TP) and stop loss (SL) settings, allowing traders to tailor their risk management according to their preferences.
BTCUSD 4h Long Performance
█ Strategy, How It Works: Detailed Explanation
The BBTrend strategy employs two key indicators: Bollinger Bands and SuperTrend.
🔶 Bollinger Bands Calculation:
- Short Bollinger Bands**: Calculated using a shorter period (default 20).
- Long Bollinger Bands**: Calculated using a longer period (default 50).
- Bollinger Bands use the standard deviation of price data to create upper and lower bands around a moving average.
Upper Band = Middle Band + (k * Standard Deviation)
Lower Band = Middle Band - (k * Standard Deviation)
🔶 BBTrend Indicator:
- The BBTrend indicator is derived from the absolute differences between the short and long Bollinger Bands' lower and upper values.
BBTrend = (|Short Lower - Long Lower| - |Short Upper - Long Upper|) / Short Middle * 100
🔶 SuperTrend Indicator:
- The SuperTrend indicator is calculated using the average true range (ATR) and a multiplier. It helps identify the market trend direction by plotting levels above and below the price, which act as dynamic support and resistance levels. * @EliCobra makes the SuperTrend Toolkit. He is GOAT.
SuperTrend Upper = HL2 + (Factor * ATR)
SuperTrend Lower = HL2 - (Factor * ATR)
The strategy determines market trends by checking if the close price is above or below the SuperTrend values:
- Uptrend: Close price is above the SuperTrend lower band.
- Downtrend: Close price is below the SuperTrend upper band.
Short: 10 Long: 20 std 2
Short: 20 Long: 40 std 2
Short: 20 Long: 40 std 4
█ Trade Direction
The strategy allows traders to choose their trading direction:
- Long: Enter long positions only.
- Short: Enter short positions only.
- Both: Enter both long and short positions based on market conditions.
█ Usage
To use the "BBTrend - Strategy " effectively:
1. Configure Inputs: Adjust the Bollinger Bands lengths, standard deviation multiplier, and SuperTrend settings.
2. Set TPSL Conditions: Choose the take profit and stop loss percentages to manage risk.
3. Choose Trade Direction: Decide whether to trade long, short, or both directions.
4. Apply Strategy: Apply the strategy to your chart and monitor the signals for potential trades.
█ Default Settings
The default settings are designed to provide a balance between sensitivity and stability:
- Short BB Length (20): Captures short-term market trends.
- Long BB Length (50): Captures long-term market trends.
- StdDev (2.0): Determines the width of the Bollinger Bands.
- SuperTrend Length (10): Period for calculating the ATR.
- SuperTrend Factor (12): Multiplier for the ATR to adjust the SuperTrend sensitivity.
- Take Profit (30%): Sets the level at which profits are taken.
- Stop Loss (20%): Sets the level at which losses are cut to manage risk.
Effect on Performance
- Short BB Length: A shorter length makes the strategy more responsive to recent price changes but can generate more false signals.
- Long BB Length: A longer length provides smoother trend signals but may be slower to react to price changes.
- StdDev: Higher values create wider bands, reducing the frequency of signals but increasing their reliability.
- SuperTrend Length and Factor: Shorter lengths and higher factors make the SuperTrend more sensitive, providing quicker signals but potentially more noise.
- Take Profit and Stop Loss: Adjusting these levels affects the risk-reward ratio. Higher take profit percentages can increase gains but may result in fewer closed trades, while higher stop loss percentages can decrease the likelihood of being stopped out but increase potential losses.
[SGM Forex Interest Rate]
Through an analysis of the interest rates of selected currencies, this indicator calculates the difference between these rates to provide an indication of the relative strength between the two currencies. This relative strength is graphically represented as an area with a specific color for better visualization.
The curves represent the values of the two selected currencies, while the colored area between them highlights the difference in strength. A horizontal line is also drawn at the zero level to help identify turning points or divergence points.
Interest rates play a crucial role in forex trading for several reasons:
Impact on capital flows: Interest rates affect international capital flows. Investors are attracted to currencies offering higher yields, which can lead to currency appreciation with higher interest rates.
Influence on monetary policy decisions: Central banks often adjust interest rates to achieve macroeconomic goals such as price stability, economic growth, and full employment. Announcements of interest rate changes or hints about the future direction of rates can have a significant impact on the foreign exchange market.
Determination of financing costs: Interest rates affect the financing costs of transactions in the foreign exchange market. Traders often borrow low-interest currencies to purchase higher-yielding currencies, which can lead to large movements in the market.
Economic Indicators: Interest rates are also key economic indicators. Changes in interest rates may reflect overall economic conditions and be interpreted as signs of economic growth or contraction.
Risk and volatility factors: Interest rate differences between two countries can create arbitrage opportunities, but also risks. Unexpected changes in interest rates or market expectations may result in increased volatility in the foreign exchange market.
In sum, interest rates are a fundamental part of the global financial landscape and are therefore crucial for forex traders, as they provide indications of economic trends, capital flows and trading opportunities.
COT CFTC Title: Enhanced COT CFTC Analysis Tool
Description:
Introducing the 'Enhanced COT CFTC Analysis Tool', meticulously designed to dissect the CFTC's Commitments of Traders (COT) data. This sophisticated tool aims to equip traders and investors with profound insights into market dynamics, utilizing the positions of Large Speculators, Commercials, and Non-Reportable Positions for a comprehensive market overview.
Key Features:
Large Speculators Analysis: Visualizes the net positions of large speculators, offering insights into speculative market sentiments.
Commercials Insights: Provides a deep dive into the trading activities of commercials, known for their strategic hedging practices.
Non-Reportable Positions Tracking: Displays the activities of smaller speculators, often considered as contrarian indicators.
Additional Plots:
Options Share: Allows selection between the proportion of options in the market.
Net, Short, and Long Positions: Offers options to view net, short, and long positions.
Percentage of Net Short and Long Positions: Displays the percentage of net short and long positions, either as raw data or as an index over a specified time period.
Extreme Value Indicators: Highlights extreme values in the market data, providing critical insights into market peaks and troughs.
This tool features an intuitive display with color-coded lines and charts, simplifying the complex data analysis process. It also includes an innovative 5% detector, highlighting extreme market positions for enhanced market understanding.
Spread Analysis: This feature provides an insightful visualization of the spread between various COT data points, enabling users to gauge the market’s depth and liquidity effectively.
Usage Tips:
Utilize divergence analysis between different groups to identify potential trend reversals.
Keep a close eye on the 5% detector for early indications of market overextensions.
The 'Enhanced COT CFTC Analysis Tool' is a vital addition to your trading arsenal, designed to enrich your trading strategy with precise and actionable market insights. It’s not just an indicator; it’s a comprehensive market analysis suite.
Disclaimer: This indicator is for educational purposes only. Trading decisions should always be approached with caution and based on thorough personal analysis.
GT-FibThis code is declaring the script as an indicator named "GT-Fib" to be plotted on the main chart. The maximum number of lines it can create is limited to 500.
The indicator calculates Fibo using trend breaks. If the trend is not broken and the old trend continues, Fibo continues. However, sometimes you will witness that it does not draw Fibo. Indicates that there is no trend break yet. If current Fibo levels are behind us, it may be wise to wait for a trend change. For trend breaks, I partially benefited from the Lux team's trend lines with break indicator. For your information...
Settings:
A set of user inputs is defined to allow customization. These include lookback period, coefficient, calculation method, and an option to enable/disable backpainting. These inputs help the trader to adapt the script to different market conditions or trading strategies.
Style:
Colors and visual styles for the indicator are defined here, such as the colors for uptrends and downtrends.
Variables Initialization:
Various variables are initialized here. This section prepares the script for further calculations. Key concepts include the initialization of upper and lower boundaries, pivot highs (ph), pivot lows (pl), and a few other variables to track peaks and troughs for trendlines.
Trendline Peaks and Troughs:
The script identifies pivot highs and lows. Whenever a pivot high/low is found, it updates the trendline_top and trendline_bottom respectively.
Calculation Method:
Based on the user's choice, the script calculates a "cycle" value using one of three methods: ATR, Stdev, or Linreg.
Extended Lines:
These are dashed lines that get drawn when a pivot high or pivot low is identified. These lines can be used to visualize potential support or resistance areas.
plotFibRetracement Function:
This function is designed to draw Fibonacci retracement levels between the identified trendline top and bottom. The Fibonacci levels provide potential support and resistance levels that traders often use to make trading decisions.
Plotting Fibonacci using Trendline Peaks and Troughs:
If both trendline_top and trendline_bottom are not 'na' (not available), the script will draw the Fibonacci retracement using the defined function.
How to Use:
The script identifies and displays potential support and resistance zones using Fibonacci retracement levels based on the trendline peaks and troughs. Here's a suggested way to use it:
Adjust Settings: Depending on the instrument you're trading and the timeframe, you might want to adjust the lookback period, coefficient, and calculation method to fine-tune the script to your needs.
Identify Trends: Observe where the pivot highs and lows are formed. The presence of consecutive pivot highs or pivot lows can indicate a prevailing trend.
Use Fibonacci Levels: The Fibonacci retracement levels can act as potential support and resistance. For instance:
During an uptrend, if prices retract and approach a Fibonacci level, it might act as a support level where price could bounce back.
During a downtrend, Fibonacci levels might act as resistance where price could reverse downwards.
Combine with Other Indicators: For a more comprehensive analysis and to increase the reliability of trading signals, you can use this script in conjunction with other technical indicators.
Remember, like all trading tools and techniques, this script should be used in conjunction with proper risk management. It's also a good idea to test any strategy or tool in a demo environment before applying it to a live account.
US Composite Leading Indicator (CLI)The US Composite Leading Indicator (CLI), normalized for the United States, closely mirrors the Conference Board "Leading Economic Index" (LEI). It offers unique insights into economic and financial dynamics.
The Composite Leading Indicator (CLI) is an economic tool designed to anticipate economic developments. It is created by aggregating and normalizing a wide range of economic and financial data from various sources.
The normalized data is then aggregated, and a composite indicator is calculated by taking a weighted average of individual indicators.
The CLI is used to provide early insights into the state of the economy and to anticipate future economic trends. It is particularly valuable for predicting economic downturns, including recessions.
The CLI is an essential tool for economists, governments, businesses, and investors seeking to understand economic trends and make informed decisions.
Key Features:
1. Early Warning: Just like its counterpart, the CLI indicator excels at offering early warnings about significant economic events, particularly economic crises. This makes it an indispensable asset for analysts and investors.
2. Recession Indicators: The moving average serves as an early warning system for potential economic recessions. When it crosses the indicator line from the bottom to the top while surpassing a predefined threshold (e.g., 101), it signals a potential crisis.
3. Market Impact: The CLI indicator provides valuable insights into the performance of financial markets, offering cues about indices such as the S&P 500, Nasdaq, Dow Jones, and more.
Why It Matters:
Understanding the US Composite Leading Indicator (CLI) indicator, normalized for the United States, is crucial for anticipating economic shifts and preparing for changes in financial markets. By analyzing a diverse array of economic factors, it provides a holistic view of economic well-being. Whether you're an investor or economist, this indicator can be an invaluable resource for staying informed about market trends and major economic developments.
Source:
www.data.oecd.org
[blackcat] L1 Visual Volatility IndicatorHey there! Let's get into the details about dynamic rate indicators, how they work, their importance, usage, and benefits in trading.
Dynamic rate indicators are essential in trading as they help traders assess the volatility and risk level of the market, so they can make the right trading strategies and risk management measures.
When it comes to the importance of dynamic rate indicators, they provide critical information about market volatility, which is super important for traders. Traders can use this information to understand the risk level of the market, determine market stability and instability, and adjust trading strategies based on volatility changes.
Now let's talk about the usage of dynamic rate indicators. They have different usage times for different trading strategies and market environments. Generally, when market volatility is low, traders can take advantage of the opportunity to do trend tracking or oscillating trades. When market volatility is high, traders can take a more conservative approach, such as using stop-loss orders or reducing position sizes.
Using dynamic rate indicators can bring several benefits. First, they can help traders evaluate the risk level of the market, so they can develop suitable risk management strategies. Traders can adjust stop-loss and take-profit levels based on changes in volatility to control risk. Second, dynamic rate indicators provide information about market trends and price fluctuations, helping traders make wiser trading decisions. Traders can determine entry and exit points based on the signals of dynamic rate indicators. Lastly, dynamic rate indicators play a significant role in option pricing. Implied volatility helps traders evaluate option prices and market expectations for future volatility, so they can carry out option trades or hedging operations.
In conclusion, dynamic rate indicators are essential for traders as they help assess market volatility and risk levels, develop suitable trading strategies and risk management measures, and increase trading success and profitability. Remember that different indicators are suitable for different types of markets, so it is essential to choose the right one for your specific trading needs.
This indicator is a powerful tool for traders who want to stay ahead of the market and make informed trading decisions. By analyzing trends in volatility, this indicator can provide valuable insights into market sentiment and help traders identify potential trading opportunities.
One of the key advantages of the L1 Visual Volatility Indicator is its ability to adapt to changing market conditions. The channel structure it constructs based on ATR characteristics provides a framework for tracking volatility that can be adjusted to different timeframes and asset classes. This allows traders to customize the indicator to their specific needs and trading style, making it a versatile tool for a wide range of trading strategies.
Another advantage of this indicator is its use of gradient colors to differentiate between Bullish and Bearish volatility. This provides a visual representation of market sentiment that can help traders quickly identify potential trading opportunities and make informed decisions. Additionally, the use of Fibonacci's long-term moving average to define the sideways consolidation area provides a reliable framework for identifying key levels of support and resistance, further enhancing the indicator's usefulness in trading.
In conclusion, the L1 Visual Volatility Indicator is a powerful tool for traders looking to stay ahead of the market and make informed trading decisions. Its ability to adapt to changing market conditions and use of gradient colors to differentiate between Bullish and Bearish volatility make it a versatile and effective tool for a wide range of trading strategies. By incorporating this indicator into their trading arsenal, traders can gain valuable insights into market sentiment and improve their chances of success in the markets.
HTF Trend Filter - Dynamic SmoothingSummary of the HTF Trend Filter
The Higher Time Frame (HTF) Trend Filter is a cutting-edge tool crafted for traders who want to scan moving average trend lines time efficiently. At its core, it harnesses the power of dynamic smoothing to present a sleek moving average line regardless of the time frame you’re on. Here's a glimpse of the advantages you unlock with the HTF trend filter:
Dynamic Smoother: Ever been irked by jagged lines on your chart? With the dynamic smoother, those days are gone. The smoother streamlines HTF moving average line on your current lower time frame chart.
Time Efficiency: Time is of the essence in trading. With this tool, you can nimbly toggle between time charts without the hassle of readjusting input parameters, ensuring your screening process remains unhindered.
Features of the Script
Variety of Moving Averages: The script caters to different trading styles by offering a plethora of moving average types, ranging from the classic SMA and EMA to the innovative Hull and McGinley Dynamic MAs.
Dynamic Smoothing: This is the script's pièce de résistance. The dynamic smoothing factor is ingeniously derived by taking the ratio of minutes of the higher time frame to the current time frame. This ensures the moving average remains fluid and consistent across different time frames, eliminating the common pitfalls of jagged moving averages.
Reversal Indicators: It includes a reversal indicator. Green circles pinpoint the start of a potential uptrend, while red ones signify a potential downtrend.
Customizable Alerts: To ensure you never miss a beat, the script is equipped with customizable alert conditions.
Trading Idea
The essence of trading lies in confirming assumptions and validating trends. The HTF Trend Dynamic Smoother positions itself as a potential game-changer in this domain. One could consider using the HTF trend dynamic smoother as a supplementary confirmation tool alongside other primary indicators. For instance, if you're plotting a moving average on a lower time frame, toggling the HTF smoother can offer a broader perspective of the trend from a higher time frame. By ensuring alignment between these perspectives, you could potentially trade with increased confidence, reinforcing your lower time frame strategies with higher time frame confirmations. It's worth noting, however, that while this method can offer additional layers of information and validation, it doesn't replace due diligence. Every trade decision should be the culmination of thorough analysis, and no tool should be solely relied upon for decision-making.
Limitations
While the HTF Trend Filter is an exceptional tool, like all tools, it has its constraints. Lower Time Frame Dependency: For the indicator to function optimally, it's paramount to ensure that the time frame open is always lower (or equal) than the one selected in the input parameters. This limitation is crucial to remember as the dynamic smoother's accuracy hinges on this condition.
In conclusion, the HTF Trend Filter - Dynamic Smoothing is a remarkable blend of innovation and efficiency, tailored for traders who demand fast screening of higher time frame MA trends. Due to it simplistic design it gives a user-friendly experience. However, always remember the golden rule of trading: utilize tools as part of a comprehensive strategy, never in isolation.
Previous OHLC Levels [TradeMaster Lite]In trading, the “Previous Open/High/Low/Close” (or previous OHLC) refers to the opening, high, low and closing price of the instrument in the previous period. These prices are typically used in technical analysis to identify trends and patterns and to make trading decisions. Some traders may also use the differences between the opening, high, low and closing prices to make trading decisions. For example, the difference between the closing and opening price (the so-called “true body”) and the high and low price (the so-called “upper shadow” and “lower shadow”) can indicate the strength of a trend, whether the bulls or bears are controlling the market, and can also give an idea of market volatility, and are also used as support and resistance levels.
Previous Open: shows the opening price of the previous period. It's the price at which the market first started trading in that period.
Previous High: represents the highest price reached during the previous period. It can act as a resistance level for the current period.
Previous Low: indicates the lowest price hit during the previous period. It can serve as a support level in the current period.
Previous Close: the last price at which the asset traded during the previous period. It's often considered the most accurate reflection of the market sentiment at the end of that period.
These values provide a summary of the previous trading period's price action, giving you a baseline for comparing current price movements. They can help in understanding the market's direction and identifying potential support and resistance levels. It is important to keep in mind that, like any other technical indicator, Previous OHLC does not give a definitive indication of future market direction and should be used in conjunction with other analytical tools, as well as fundamental analysis and market sentiment. It is also important to have appropriate risk management in place.
👉 General advice
Confirming Signals with other indicators:
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management:
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators:
The indicator can be effectively used alongside other technical indicators to create a comprehensive trading strategy and provide additional confirmation.
Keep in Mind:
Thorough research and backtesting are essential before making any trading decisions. Furthermore, it's crucial to have a solid understanding of the indicator and its behavior. Additionally, incorporating fundamental analysis and considering market sentiment can be vital factors to take into account in your trading approach.
Limitations:
This is a lagging indicator. Please note that the displayed values are delayed by the chosen timeframe on historical bars and show the values from the previous period on the current bar.
The indicators within the TradeMaster Lite package aim for simplicity and efficiency, while retaining their original purpose and value. Some settings, functions or visuals may be simpler than expected.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
Dynamo
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Overview
Dynamo is built to be the Swiss-knife for price-movement & strength detection, it aims to provide a holistic view of the current price across multiple dimensions. This is achieved by combining 3 very specific indicators(RSI, Stochastic & ADX) into a single view. Each of which serve a different purpose, and collectively provide a simple, yet powerful tool to gauge the true nature of price-action.
Background
Dynamo uses 3 technical analysis tools in conjunction to provide better insights into price movement, they are briefly explained below:
Relative Strength Index(RSI)
RSI is a popular indicator that is often used to measure the velocity of price change & the intensity of directional moves. RSI computes the relative strength of the current price by comparing the security’s bullish strength versus bearish strength for a given period, i.e. by comparing average gain to average loss.
It is a range bound(0-100) variable that generates a bullish reading if average gain is higher, and a bullish reading if average loss is higher. Values over 50 are generally considered bullish & values less than 50 indicate a bearish market. Values over 70 indicate an overbought condition, and values below 30 indicate oversold condition.
Stochastic
Stochastic is an indicator that aims to measure the momentum in the market, by comparing most recent closing price of the security to its price range for a given period. It is based on the assumption that price tends to close near the recent high in an up trend, and it closes near the recent low during a down trend.
It is also range bound(0-100), values over 80 indicate overbought condition and values below 20 indicate oversold condition.
Average Directional Index(ADX)
ADX is an indicator that can quantify trend strength, it is derived from two underlying indices, known as Directional Movement Index(DMI). +DMI represents strength of the up trend, and -DMI represents strength of the down trend, and ADX is the average of the two.
ADX is non-directional or trend-neutral, which means, it does not follow the direction of the price, instead ADX will rise only when there is a strong trend, it does not matter if it’s an up trend or a down trend. Typical ranges of ADX are 25-50 for a strong trend, anything below 25 is considered as no trend or weak trend. ADX can frequently shoot upto higher values, but it generally finds exhaustion levels around the 60-75 range.
About the script
All these indicators are very powerful tools, but just like any other indicator they have their limitations. Stochastic & ADX can generate false signals in volatile markets, meaning price wouldn’t always follow through with what’s being indicated. ADX may even fail to generate a signal in less volatile markets, simply because it is based on moving averages, it tends to react slower to price changes. RSI can also lose it’s effectiveness when markets are trending strong, as it can stay in the overbought or oversold ranges for an extended period of time.
Dynamo aims to provide the trader with a much broader perspective by bringing together these contrasting indicators into a single simplified view. When Stochastic becomes less reliable in highly volatile conditions, one can cross validate their deduction by looking at RSI patterns. When RSI gets stuck in overbought or oversold range, one can refer to ADX to get better picture about the current trend. Similarly, various combinations of rules & setups can be formulated to get a more deterministic view, when working with either of these indicators.
There many possible use cases for a tool like this, and it totally depends on how you want to use it. An obvious option is to use it to trigger signals only after it has been confirmed by two or more indicators, for example, RSI & Stochastic make a great combination for cross-over or cross-under strategies. Some of the other options include trend detection, strength detection, reversals or price rejection points, possible duration of a trend, and all of these can very easily be translated into effective entry and exit points for trades.
How to use it
Dynamo is an easy-to-use tool, just add it to your chart and you’re good to start with your market analysis. Output consists of three overlapping plots, each of which tackle price movement from a slightly different angle.
Stochastic: A momentum indicator that plots the current closing price in relation to the price-range over a given period of time.
Can be used to detect the direction of the price movement, potential reversals, or duration of an up/down move.
Plotted as grey coloured histograms in the background.
Relative Strength Index(RSI): RSI is also a momentum indicator that measures the velocity with which the price changes.
Can be used to detect the speed of the price movement, RSI divergences can be a nice way to detect directional changes.
Plotted as an aqua coloured line.
Average Directional Index(ADX): ADX is an indicator that is used to measure the strength of the current trend.
Can be used to measure how strong the price movement is, both up and down, or to establish long terms trends.
Plotted as an orange coloured line.
Features
Provides a well-rounded view of the market movement by amalgamating some of the best strength indicators, helping traders make better informed decisions with minimal effort.
Simplistic plots that aim to convey clean signals, as a result, reducing clutter on the chart, and hopefully in the trader's head too.
Combines different types of indicators into a single view, which leads to an optimised use of the precious screen real-estate.
Final Note
Dynamo is designed to be minimalistic in functionality and in appearance, as it is being built to be a general purpose tool that is not only beginner friendly, but can also be highly-configurable to meet the needs of pro traders.
Thresholds & default values for the indicators are only suggestions based on industry standards, they may not be an exact match for all markets & conditions. Hence, it is advisable for the user to test & adjust these values according their securities and trading styles.
The chart highlights one of many possible setups using this tool, and it can used to create various types of setups & strategies, but it is also worth noting that the usability & the effectiveness of this tool also depends on the user’s understanding & interpretation of the underlying indicators.
Lastly, this tool is only an indicator and should only be perceived that way. It does not guarantee anything, and the user should do their own research before committing to trades based on any indicator.
Strategy Myth-Busting #23 - 2xEMA+DPO- [MYN]#23 on the Myth-Busting bench, we are automating the "Best Funded Account Trading Strategy (Pass EVERY Challenge!)" strategy from "Trade with Pat" who claims this strategy will pass every trading challenge out there.
This strategy uses 3 open source indicators. 2 EMA's. The first one (Slow) is set to a length of 40 and a fast EMA which is set to 12. This strategy uses the crossover of the fast( 12) EMA over the Slow EMA ( 40 ) as the primary means to enter a long position. The opposite when the fast EMA crosses under the slow EMA as a means to indicate a short position. This strategy uses the DPO (Detrended Price Oscillaor) from the Uptrend Price DPO indicator in the same way we would traditionally use a stochastic or moving average convergence/divergence indicator like the MACD . Basically, the DPO helps evaluate and estimate the length of the price cycle from peak to peek or through to trough and in this strategy confirms entry of a long / short condition complimenting the EMA crossover/crossunders.
And as always, If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
This strategy uses a combination of 2 open-source public indicators:
EMA x2 ( 40 and 12)
Untrend Price DPO indicator by jTradeuh
Trading Rules
1 or 4 hour candles
Stop loss at previous highest-high (Short) and lowest-low (Long).
Take Profit 2 - 2.5 the risk
Strategy Template includes open source code from the following:
Performance Summary Dashboard by @VertMT
Time Of Day Window by @ddctv
Monthly Table Performance Dashboard by @QuantNomad
Options Scalping by harsh gbychi this is my script.
Bank Nifty Live OI Change Chart can give very useful clues for intraday support and resistance levels for Bank Nifty. If there is more addition in Open Interest at 12200 Calls, that would mean most market players are comfortable writing call options at this level because they believe it to be a strong resistance. That would be bearish indication for BankNifty.
Similarly is there is highest writing in 12000 Puts that would indicate strong intraday support at that level.
Third Scenario: There is good amount of Open Interest increase in 12000 PE and 12200 CE –> this means we should expect a range bound session for the day, as both bears and bulls are comfortable holding the 12200 and 12000 levels respectively.
Following factors could improve reliability of BankNifty OI Change analysis:
1) Put Call Ratio: Higher PCR means bullishness. If there is more writing at 12000PE and PCR is high and increasing during the day that would add to bullish scenario
If the PCR is declining for the day and more writing happening at 12200CE then this adds to bearishness.
2) Close to expiry: The closer to expiry we are, the more reliable the ‘Open Interest’ analysis. Early in the series, the OI analysis is less reliable.
3) More Players: As the number of players increase, the OI analysis become more reliable.
4) Bid-ask Spread: The lower the bid-ask spread the more reliable the OI analysis.
5) Technical Indicators: The best trades are found by combining OI analysis with other technical indicators. MACD, RSI, Channel lines and EW count give best results with Open Interest Analysis.
MTF Technical Ratings [Anan]█ OVERVIEW
This indicator is a modified version of "Technical Ratings" v5.0 available in the public library to provide a quick overview of Technical Ratings in 6 optional timeframes.
█ FEATURES
- Multi-timeframe Table.
- Display Technical Ratings for "MAs" with a percentage.
- Display Technical Ratings for "Oscillators" with a percentage.
- Display Technical Ratings for "All" with a percentage.
- Full control of displaying any row(MAs / Oscillators / All) or any column(Multi-timeframe)
- Full control of Table position and size.
- Full control of displaying any row or column.
ORIGINAL DESCRIPTION ABOUT TECHNICAL RATING v1.0
█ OVERVIEW
This indicator calculates TradingView's well-known "Strong Buy", "Buy", "Neutral", "Sell" or "Strong Sell" states using the aggregate biases of 26 different technical indicators.
█ CALCULATIONS
The indicator calculates the aggregate value of two groups of indicators: moving averages and oscillators.
The "MAs" group is comprised of 15 different components:
• Six Simple Moving Averages of periods 10, 20, 30, 50, 100 and 200
• Six Exponential Moving Averages of the same periods
• A Hull Moving Average of period 9
• A Volume-weighed Moving Average of period 20
• Ichimoku
The "Oscillators" group includes 11 components:
• RSI
• Stochastic
• CCI
• ADX
• Awesome Oscillator
• Momentum
• MACD
• Stochastic RSI
• Wiliams %R
• Bull Bear Power
• Ultimate Oscillator
The state of each group's components is evaluated to a +1/0/-1 value corresponding to its bull/neutral/bear bias. The resulting value for each of the two groups are then averaged to produce the overall value for the indicator, which oscillates between +1 and -1. The complete conditions used in the calculations are documented in the Help Center.
Technical Ratings on Multi-frames / Assets█ OVERVIEW
This indicator is a modified version of TECHNICAL RATING v1.0 available in the public library to provide a quick overview of consolidated technical ratings performed on 12 assets in 3 timeframes.The purpose of the indicator is to provide a quick overview of the current status of the custom 12 (24) assets and to help focus on the appropriate asset.
█ MODIFICATIONS
- Markers, visualizations and alerts have been deleted
- Due to the limitation on maximum number of security (40), the results of 12 assets evaluated in 3 different time frames can be shown at the same time.
- An additional 12 assets can be configured in the settings so that you do not have to choose each ticker one by one to facilitate a quick change, but can switch between the 12 -12 assets with a single click on "Second sets?".
- The position, colors and parameters of the table can be widely customized in the settings.
- The 12 assets can be arranged in rows 3, 4, 6 and 12 with Table Rows options, which can also be used to create a simple mobile view.
- The default gradient color setting has been changed to red/yellow/green traffic lights
ORIGINAL DESCRIPTION ABOUT TECHNICAL RATING v1.0
█ OVERVIEW
This indicator calculates TradingView's well-known "Strong Buy", "Buy", "Neutral", "Sell" or "Strong Sell" states using the aggregate biases of 26 different technical indicators.
█ WARNING
This version is similar, but not identical, to our recently published "Technical Ratings" built-in, which reproduces our "Technicals" ratings displayed as a gauge in the right panel of charts, or in the "Rating" indicator available in the TradingView Screener. This is a fork and refactoring of the code base used in the "Technical Ratings" built-in. Its calculations will not always match those of the built-in, but it provides options not available in the built-in. Up to you to decide which one you prefer to use.
█ FEATURES
Differences with the built-in version
• The built-in version produces values matching the states displayed in the "Technicals" ratings gauge; this one does not always.
• A strategy version is also available as a built-in; this script is an indicator—not a strategy.
• This indicator will show a slightly different vertical scale, as it does not use a fixed scale like the built-in.
• This version allows control over repainting of the signal when you do not use a higher timeframe. Higher timeframe (HTF) information from this version does not repaint.
• You can adjust the weight of the Oscillators and MAs components of the rating here.
• You can configure markers on signal breaches of configurable levels, or on advances declines of the signal.
The indicator's settings allow you to:
• Choose the timeframe you want calculations to be made on.
• When not using a HTF, you can select a repainting or non-repainting signal.
• When using both MAs and Oscillators groups to calculate the rating, you can vary the weight of each group in the calculation. The default is 50/50.
Because the MAs group uses longer periods for some of its components, its value is not as jumpy as the Oscillators value.
Increasing the weight of the MAs group will thus have a calming effect on the signal.
• Alerts can be created on the indicator using the conditions configured to control the display of markers.
Display
The calculated rating is displayed as columns, but you can change the style in the inputs. The color of the signal can be one of three colors: bull, bear, or neutral. You can choose from a few presets, or check one and edit its color. The color is determined from the rating's value. Between 0.1 and -0.1 it is in the neutral color. Above/below 0.1/-0.1 it will appear in the bull/bear color. The intensity of the bull/bear color is determined by cumulative advances/declines in the rating. It is capped to 5, so there are five intensities for each of the bull/bear colors.
The "Strong Buy", "Buy", "Neutral", "Sell" or "Strong Sell" state of the last calculated value is displayed to the right of the last bar for each of the three groups: All, MAs and Oscillators. The first value always reflects your selection in the "Rating uses" field and is the one used to display the signal. A "Strong Buy" or "Strong Sell" state appears when the signal is above/below the 0.5/-0.5 level. A "Buy" or "Sell" state appears when the signal is above/below the 0.1/-0.1 level. The "Neutral" state appears when the signal is between 0.1 and -0.1 inclusively.
Five levels are always displayed: 0.5 and 0.1 in the bull color, zero in the neutral color, and -0.1 and - 0.5 in the bull color.
█ CALCULATIONS
The indicator calculates the aggregate value of two groups of indicators: moving averages and oscillators.
The "MAs" group is comprised of 15 different components:
• Six Simple Moving Averages of periods 10, 20, 30, 50, 100 and 200
• Six Exponential Moving Averages of the same periods
• A Hull Moving Average of period 9
• A Volume-weighed Moving Average of period 20
• Ichimoku
The "Oscillators" group includes 11 components:
• RSI
• Stochastic
• CCI
• ADX
• Awesome Oscillator
• Momentum
• MACD
• Stochastic RSI
• Wiliams %R
• Bull Bear Power
• Ultimate Oscillator
Technical Ratings█ OVERVIEW
This indicator calculates TradingView's well-known "Strong Buy", "Buy", "Neutral", "Sell" or "Strong Sell" states using the aggregate biases of 26 different technical indicators.
█ FEATURES
Differences with the built-in version
• You can adjust the weight of the Oscillators and MAs components of the rating here.
• The built-in version produces values matching the states displayed in the "Technicals" ratings gauge; this one does not always, where weighting is used.
• A strategy version is also available as a built-in; this script is an indicator—not a strategy.
• This indicator will show a slightly different vertical scale, as it does not use a fixed scale like the built-in.
• This version allows control over repainting of the signal when you do not use a higher timeframe. Higher timeframe (HTF) information from this version does not repaint.
• You can configure markers on signal breaches of configurable levels, or on advances declines of the signal.
The indicator's settings allow you to:
• Choose the timeframe you want calculations to be made on.
• When not using a HTF, you can select a repainting or non-repainting signal.
• When using both MAs and Oscillators groups to calculate the rating, you can vary the weight of each group in the calculation. The default is 50/50.
Because the MAs group uses longer periods for some of its components, its value is not as jumpy as the Oscillators value.
Increasing the weight of the MAs group will thus have a calming effect on the signal.
• Alerts can be created on the indicator using the conditions configured to control the display of markers.
Display
The calculated rating is displayed as columns, but you can change the style in the inputs. The color of the signal can be one of three colors: bull, bear, or neutral. You can choose from a few presets, or check one and edit its color. The color is determined from the rating's value. Between 0.1 and -0.1 it is in the neutral color. Above/below 0.1/-0.1 it will appear in the bull/bear color. The intensity of the bull/bear color is determined by cumulative advances/declines in the rating. It is capped to 5, so there are five intensities for each of the bull/bear colors.
The "Strong Buy", "Buy", "Neutral", "Sell" or "Strong Sell" state of the last calculated value is displayed to the right of the last bar for each of the three groups: All, MAs and Oscillators. The first value always reflects your selection in the "Rating uses" field and is the one used to display the signal. A "Strong Buy" or "Strong Sell" state appears when the signal is above/below the 0.5/-0.5 level. A "Buy" or "Sell" state appears when the signal is above/below the 0.1/-0.1 level. The "Neutral" state appears when the signal is between 0.1 and -0.1 inclusively.
Five levels are always displayed: 0.5 and 0.1 in the bull color, zero in the neutral color, and -0.1 and - 0.5 in the bull color.
The levels that can be used to determine the breaches displaying long/short markers will only be visible when their respective long/short markers are turned on in the "Direction" input. The levels appear as a bright dotted line in bull/bear colors. You can control both levels separately through the "Longs Level" and "Shorts Level" inputs.
If you specify a higher timeframe that is not greater than the chart's timeframe, an error message will appear and the indicator's background will turn red, as it doesn't make sense to use a lower timeframe than the chart's.
Markers
Markers are small triangles that appear at the bottom and top of the indicator's pane. The marker settings define the conditions that will trigger an alert when you configure an alert on the indicator. You can:
• Choose if you want long, short or both long and short markers.
• Determine the signal level and/or the number of cumulative advances/declines in the signal which must be reached for either a long or short marker to appear.
Reminder: the number of advances/declines is also what controls the brightness of the plotted signal.
• Decide if you want to restrict markers to ones that alternate between longs and shorts, if you are displaying both directions.
This helps to minimize the number of markers, e.g., only the first long marker will be displayed, and then no more long markers will appear until a short comes in, then a long, etc.
Alerts
When you create an alert from this indicator, that alert will trigger whenever your marker conditions are confirmed. Before creating your alert, configure the makers so they reflect the conditions you want your alert to trigger on.
The script uses the alert() function, which entails that you select the "Any alert() function call" condition from the "Create Alert" dialog box when creating alerts on the script. The alert messages can be configured in the inputs. You can safely disregard the warning popup that appears when you create alerts from this script. Alerts will not repaint. Markers will appear, and thus alerts will trigger, at the opening of the bar following the confirmation of the marker condition. Markers will never disappear from the bar once they appear.
Repainting
This indicator uses a two-pronged approach to control repainting. The repainting of the displayed signal is controlled through the "Repainting" field in the script's inputs. This only applies when you have "Same as chart" selected in the "Timeframe" field, as higher timeframe data never repaints. Regardless of that setting, markers and thus alerts never repaint.
When using the chart's timeframe, choosing a non-repainting signal makes the signal one bar late, so that it only displays a value once the bar it was calculated has elapsed. When using a higher timeframe, new values are only displayed once the higher timeframe completes.
Because the markers never repaint, their logic adapts to the repainting setting used for the signal. When the signal repaints, markers will only appear at the close of a realtime bar. When the signal does not repaint (or if you use a higher timeframe), alerts will appear at the beginning of the realtime bar, since they are calculated on values that already do not repaint.
█ CALCULATIONS
The indicator calculates the aggregate value of two groups of indicators: moving averages and oscillators.
The "MAs" group is comprised of 15 different components:
• Six Simple Moving Averages of periods 10, 20, 30, 50, 100 and 200
• Six Exponential Moving Averages of the same periods
• A Hull Moving Average of period 9
• A Volume-weighed Moving Average of period 20
• Ichimoku
The "Oscillators" group includes 11 components:
• RSI
• Stochastic
• CCI
• ADX
• Awesome Oscillator
• Momentum
• MACD
• Stochastic RSI
• Wiliams %R
• Bull Bear Power
• Ultimate Oscillator
The state of each group's components is evaluated to a +1/0/-1 value corresponding to its bull/neutral/bear bias. The resulting value for each of the two groups are then averaged to produce the overall value for the indicator, which oscillates between +1 and -1. The complete conditions used in the calculations are documented in the Help Center .
█ NOTES
Accuracy
When comparing values to the other versions of the Rating, make sure you are comparing similar timeframes, as the "Technicals" gauge in the chart's right pane, for example, uses a 1D timeframe by default.
For coders
We use a handy characteristic of array.avg() which, contrary to avg() , does not return na when one of the averaged values is na . It will average only the array elements which are not na . This is useful in the context where the functions used to calculate the bull/neutral/bear bias for each component used in the rating include special checks to return na whenever the dataset does not yet contain enough data to provide reliable values. This way, components gradually kick in the calculations as the script calculates on more and more historical data.
We also use the new `group` and `tooltip` parameters to input() , as well as dynamic color generation of different transparencies from the bull/bear/neutral colors selected by the user.
Our script was written using the PineCoders Coding Conventions for Pine .
The description was formatted using the techniques explained in the How We Write and Format Script Descriptions PineCoders publication.
Bits and pieces were lifted from the PineCoders' MTF Selection Framework .
Look first. Then leap.
OptionsMillionaire SPY Moving Averages and Signalsby ColeJustice
OptionsMillionaire's SPY Options trading system is based mainly on these indicators:
- 8 EMA*
- 21 EMA*
- 100 SMA*
- 200 SMA*
- MACD
- RSI
- Squeeze Momentum
(*provided by this indicator)
and follows these rules:
|
| 1) I never fight the trend. If its green, i buy calls. If its red, i buy puts. I will only buy puts on a green day if there is a overall change in market trend. Inversely, calls on a red day
| 2) Price action is my #1 indicator. I wait for it to confirm my thesis before i enter a trade
| 3) I only trade SPY Options
| 4) My baseline is to choose a call/put that has a DTE (Date To Expiration) 6-7 days out, with a strike $2-$3 away. I adjust that to fit my current appetite for volatility. i virtually never play same day DTE's.
| 5) I set a 10% stop, but usually exit at 8% before my stop triggers depending on current situation
| 6) I utilize about 10-20% of my Portfolio for one trade. Sometimes more. Rarely less.
| 7) I never hold overnight in these market conditions.
| 8) I shoot for 10-20% for gains. Depending on market conditions.
| 9) Always look for confirmations in your indicators.
| 10) I never force a trade. No trade is a good trade too if the entry just isn't there.
| 11) Patience always pays off. A great set-up can form in minutes or seconds. I never regret being patient to enter. I nearly always regret rushing into a trade.
|
This indicator combines the moving averages into a single unit to simplify one part of the indicator usage rules: the 8 EMA / 21 EMA Cross. . The 8 crossing over the 21 is a Bullish signal, while the 8 crossing under the 21 is a Bearish signal. This indicator places flags at these crossover/under points, as well as shading the area between the 8 and 21 EMAs to help visualize the strength of the trend; green during a Bullish cross, and red during a Bearish cross.
A new addition to this strategy is the Hull Moving Average, or HMA. This script defaults to an HMA of 20 and shows alerts when candles close above or below the plot in the form of green and red candle backgrounds. This alert is best used in conjunction with the main crossovers and should be considered an addition level of confidence rather than providing trade entry/exits directly. This indicator is more flexible and you should feel free to adjust the period if you find a different value works better within your own personal trading style.
Each individual element of this indicator can be modified or toggled, providing maximum customization. While you should strive to become comfortable with the default settings, these options are provided in case you feel the need to adjust for your own style (or if testing on tickers other than SPY, for example).
Goodluch, and happy trading!
Trending/RangingThis script is a useful tool to use to identify the current market. It includes three other indicators:
1. ATR (combined with a SMA of the ATR)
2. ADX
3. RSI
It allows you to filter for when the market is trending vs. when the market is ranging by using any of the three indicators. You can also combine them to find extremely good trends to trade, or if you're a channel trader, identify when you wouldn't want to trade. This indicator also includes a time frame setting to allow you to ZOOM OUT and explore the long term trend of the security you are trading. I highly recommend using this indicator as a filter for when you enter a trade or not depending on the system you like to trade.
DynamicMALibrary "DynamicMA"
Dynamic Moving Averages Library
Introduction
The Dynamic Moving Averages Library is a specialized collection of custom built functions designed to calculate moving averages dynamically, beginning from the first available bar. Unlike standard moving averages, which rely on fixed length lookbacks, this library ensures that indicators remain fully functional from the very first data point, making it an essential tool for analysing assets with short time series or limited historical data.
This approach allows traders and developers to build robust indicators that do not require a preset amount of historical data before generating meaningful outputs. It is particularly advantageous for:
Newly listed assets with minimal price history.
High-timeframe trading, where large lookback periods can lead to delayed or missing data.
By eliminating the constraints of fixed lookback periods, this library enables the seamless construction of trend indicators, smoothing functions, and hybrid models that adapt instantly to market conditions.
Comprehensive Set of Custom Moving Averages
The library includes a wide range of custom dynamic moving averages, each designed for specific analytical use cases:
SMA (Simple Moving Average) – The fundamental moving average, dynamically computed.
EMA (Exponential Moving Average) – Adaptive smoothing for better trend tracking.
DEMA (Double Exponential Moving Average) – Faster trend detection with reduced lag.
TEMA (Triple Exponential Moving Average) – Even more responsive than DEMA.
WMA (Weighted Moving Average) – Emphasizes recent price action while reducing noise.
VWMA (Volume Weighted Moving Average) – Accounts for volume to give more weight to high-volume periods.
HMA (Hull Moving Average) – A superior smoothing method with low lag.
SMMA (Smoothed Moving Average) – A hybrid approach between SMA and EMA.
LSMA (Least Squares Moving Average) – Uses linear regression for trend detection.
RMA (Relative Moving Average) – Used in RSI-based calculations for smooth momentum readings.
ALMA (Arnaud Legoux Moving Average) – A Gaussian-weighted MA for superior signal clarity.
Hyperbolic MA (HyperMA) – A mathematically optimized averaging method with dynamic weighting.
Each function dynamically adjusts its calculation length to match the available bar count, ensuring instant functionality on all assets.
Fully Optimized for Pine Script v6
This library is built on Pine Script v6, ensuring compatibility with modern TradingView indicators and scripts. It includes exportable functions for seamless integration into custom indicators, making it easy to develop trend-following models, volatility filters, and adaptive risk-management systems.
Why Use Dynamic Moving Averages?
Traditional moving averages suffer from a common limitation: they require a fixed historical window to generate meaningful values. This poses several problems:
New Assets Have No Historical Data - If an asset has only been trading for a short period, traditional moving averages may not be able to generate valid signals.
High Timeframes Require Massive Lookbacks - On 1W or 1M charts, a 200-period SMA would require 200 weeks or months of data, making it unusable on newer assets.
Delayed Signal Initialization - Standard indicators often take dozens of bars to stabilize, reducing effectiveness when trading new trends.
The Dynamic Moving Averages Library eliminates these issues by ensuring that every function:
Starts calculation from bar one, using available data instead of waiting for a lookback period.
Adapts dynamically across timeframes, making it equally effective on low or high timeframes.
Allows smoother, more responsive trend tracking, particularly useful for volatile or low-liquidity assets.
This flexibility makes it indispensable for custom script developers, quantitative analysts, and discretionary traders looking to build more adaptive and resilient indicators.
Final Summary
The Dynamic Moving Averages Library is a versatile and powerful set of functions designed to overcome the limitations of fixed-lookback indicators. By dynamically adjusting the calculation length from the first bar, this library ensures that moving averages remain fully functional across all timeframes and asset types, making it an essential tool for traders and developers alike.
With built-in adaptability, low-lag smoothing, and support for multiple moving average types, this library unlocks new possibilities for quantitative trading and strategy development - especially for assets with short price histories or those traded on higher timeframes.
For traders looking to enhance signal reliability, minimize lag, and build adaptable trading systems, the Dynamic Moving Averages Library provides an efficient and flexible solution.
SMA(sourceData, maxLength)
Dynamic SMA
Parameters:
sourceData (float)
maxLength (int)
EMA(src, length)
Dynamic EMA
Parameters:
src (float)
length (int)
DEMA(src, length)
Dynamic DEMA
Parameters:
src (float)
length (int)
TEMA(src, length)
Dynamic TEMA
Parameters:
src (float)
length (int)
WMA(src, length)
Dynamic WMA
Parameters:
src (float)
length (int)
HMA(src, length)
Dynamic HMA
Parameters:
src (float)
length (int)
VWMA(src, volsrc, length)
Dynamic VWMA
Parameters:
src (float)
volsrc (float)
length (int)
SMMA(src, length)
Dynamic SMMA
Parameters:
src (float)
length (int)
LSMA(src, length, offset)
Dynamic LSMA
Parameters:
src (float)
length (int)
offset (int)
RMA(src, length)
Dynamic RMA
Parameters:
src (float)
length (int)
ALMA(src, length, offset_sigma, sigma)
Dynamic ALMA
Parameters:
src (float)
length (int)
offset_sigma (float)
sigma (float)
HyperMA(src, length)
Dynamic HyperbolicMA
Parameters:
src (float)
length (int)
The Most Powerful TQQQ EMA Crossover Trend Trading StrategyTQQQ EMA Crossover Strategy Indicator
Meta Title: TQQQ EMA Crossover Strategy - Enhance Your Trading with Effective Signals
Meta Description: Discover the TQQQ EMA Crossover Strategy, designed to optimize trading decisions with fast and slow EMA crossovers. Learn how to effectively use this powerful indicator for better trading results.
Key Features
The TQQQ EMA Crossover Strategy is a powerful trading tool that utilizes Exponential Moving Averages (EMAs) to identify potential entry and exit points in the market. Key features of this indicator include:
**Fast and Slow EMAs:** The strategy incorporates two EMAs, allowing traders to capture short-term trends while filtering out market noise.
**Entry and Exit Signals:** Automated signals for entering and exiting trades based on EMA crossovers, enhancing decision-making efficiency.
**Customizable Parameters:** Users can adjust the lengths of the EMAs, as well as take profit and stop loss multipliers, tailoring the strategy to their trading style.
**Visual Indicators:** Clear visual plots of the EMAs and exit points on the chart for easy interpretation.
How It Works
The TQQQ EMA Crossover Strategy operates by calculating two EMAs: a fast EMA (default length of 20) and a slow EMA (default length of 50). The core concept is based on the crossover of these two moving averages:
- When the fast EMA crosses above the slow EMA, it generates a *buy signal*, indicating a potential upward trend.
- Conversely, when the fast EMA crosses below the slow EMA, it produces a *sell signal*, suggesting a potential downward trend.
This method allows traders to capitalize on momentum shifts in the market, providing timely signals for trade execution.
Trading Ideas and Insights
Traders can leverage the TQQQ EMA Crossover Strategy in various market conditions. Here are some insights:
**Scalping Opportunities:** The strategy is particularly effective for scalping in volatile markets, allowing traders to make quick profits on small price movements.
**Swing Trading:** Longer-term traders can use this strategy to identify significant trend reversals and capitalize on larger price swings.
**Risk Management:** By incorporating customizable stop loss and take profit levels, traders can manage their risk effectively while maximizing potential returns.
How Multiple Indicators Work Together
While this strategy primarily relies on EMAs, it can be enhanced by integrating additional indicators such as:
- **Relative Strength Index (RSI):** To confirm overbought or oversold conditions before entering trades.
- **Volume Indicators:** To validate breakout signals, ensuring that price movements are supported by sufficient trading volume.
Combining these indicators provides a more comprehensive view of market dynamics, increasing the reliability of trade signals generated by the EMA crossover.
Unique Aspects
What sets this indicator apart is its simplicity combined with effectiveness. The reliance on EMAs allows for smoother signals compared to traditional moving averages, reducing false signals often associated with choppy price action. Additionally, the ability to customize parameters ensures that traders can adapt the strategy to fit their unique trading styles and risk tolerance.
How to Use
To effectively utilize the TQQQ EMA Crossover Strategy:
1. **Add the Indicator:** Load the script onto your TradingView chart.
2. **Set Parameters:** Adjust the fast and slow EMA lengths according to your trading preferences.
3. **Monitor Signals:** Watch for crossover points; enter trades based on buy/sell signals generated by the indicator.
4. **Implement Risk Management:** Set your stop loss and take profit levels using the provided multipliers.
Regularly review your trading performance and adjust parameters as necessary to optimize results.
Customization
The TQQQ EMA Crossover Strategy allows for extensive customization:
- **EMA Lengths:** Change the default lengths of both fast and slow EMAs to suit different time frames or market conditions.
- **Take Profit/Stop Loss Multipliers:** Adjust these values to align with your risk management strategy. For instance, increasing the take profit multiplier may yield larger gains but could also increase exposure to market fluctuations.
This flexibility makes it suitable for various trading styles, from aggressive scalpers to conservative swing traders.
Conclusion
The TQQQ EMA Crossover Strategy is an effective tool for traders seeking an edge in their trading endeavors. By utilizing fast and slow EMAs, this indicator provides clear entry and exit signals while allowing for customization to fit individual trading strategies. Whether you are a scalper looking for quick profits or a swing trader aiming for larger moves, this indicator offers valuable insights into market trends.
Incorporate it into your TradingView toolkit today and elevate your trading performance!
