DEB SuperTrend [Mattes]The Dynamic Envelope Based Supertrend integrates two key concepts: dynamic envelopes and the Supertrend, creating a powerful trend-following tool. Understanding its functionality requires a closer look at how the envelopes are constructed and how they interact with price action.
Dynamic Envelopes
>>> Dynamic envelopes are bands that surround a central moving average (MA) which is set by the user. These are then calculated based on the standard deviation of price movements over a specified period. The formula for the upper and lower envelopes is as follows:
Upper Envelope=MA+(Multiplier×STD)
Lower Envelope=MA−(Multiplier×STD)
This dynamic approach ensures that the envelopes expand and contract based on market volatility. In periods of high volatility, the envelopes widen, allowing for more price movement without triggering false signals. Conversely, in low-volatility periods, the envelopes tighten, enhancing sensitivity to price changes.
Interaction with the Supertrend
The Supertrend component is a trend-following indicator that utilizes the concept of Average True Range (ATR) to define its trailing stop levels.
In this indicator however (like I've mentioned before), the ATR bands have been replaced with the STD envelopes, as they offer a better performance compared to ATR bands.
Trend Direction
The Supertrend indicator generates buy and sell signals based on price crossing the calculated upper and lower envelopes:
>>> Buy Signal: Triggered when the price closes above the upper envelope, indicating a potential upward trend.
>>> Sell Signal: Triggered when the price closes below the lower envelope, suggesting a downward trend.
Adaptive Nature:
The dynamic envelopes effectively serve as dynamic support and resistance levels, which adapt to price movements and volatility, while the Supertrend tracks these levels to confirm the trend direction and adjust accordingly to changes, making it an enhanced version of ATR Based Supertrends.
Unique Aspects and Advantages
->>>> The Dynamic Envelope Based Supertrend is unique for several reasons:
>>> Volatility Responsiveness: The indicator adjusts its sensitivity based on market conditions, reducing the likelihood of false signals during quiet market phases and improving reliability during volatile periods. This is reasoned by the STD envelope bands contracting and expanding relative to the tickers performance.
>>> Trend Confirmation: By integrating the Supertrend logic, the indicator not only provides entry signals but also guides traders on when to exit, maintaining a focus on trend-following rather than mean reversion.
>>> Stability: Due to its use of Standard deviation envelopes, it is very ressistant in periods of uncertainty, Rather than buy bottom and selling tops, it stays long/short for the complete period of mean reverting environments, which is based on the bigger and fuller trend direction on the larger timescales.
>>> Clear Signals: The indicator simplifies decision-making by offering visual cues through its envelopes and trend signals, making it accessible to traders of all experience levels.
Summary:
The Dynamic Envelope Based Supertrend is a sophisticated trend-following indicator that intelligently combines dynamically adjusted STD envelopes with Supertrend logic. By incorporating volatility metrics, it offers a clear and actionable framework for traders, enhancing their ability to identify and follow trends effectively.
Moyennes mobiles
DSL Trend Analysis [ChartPrime]The DSL Trend Analysis indicator utilizes Discontinued Signal Lines (DSL) deployed directly on price, combined with dynamic bands, to analyze the trend strength and momentum of price movements. By tracking the high and low price values and comparing them to the DSL bands, it provides a visual representation of trend momentum, highlighting both strong and weakening phases of market direction.
⯁ KEY FEATURES AND HOW TO USE
⯌ DSL-Based Trend Detection :
This indicator uses Discontinued Signal Lines (DSL) to evaluate price action. When the high stays above the upper DSL band, the line turns lime, indicating strong upward momentum. Similarly, when the low stays below the lower DSL band, the line turns orange, indicating strong downward momentum. Traders can use these visual signals to identify strong trends in either direction.
⯌ Bands for Trend Momentum :
The indicator plots dynamic bands around the DSL lines based on ATR (Average True Range). These bands provide a range within which price can fluctuate, helping to distinguish between strong and weakening trends. If the high remains within the upper band, the lime-colored line becomes transparent, showing weakening upward momentum. The same concept applies for the lower band, where the line turns orange with transparency, indicating weakening downward momentum.
If high and low stays between bands line has no color
to make sure indicator catches only strong momentum of price
⯌ Real-Time Band Price Labels :
The indicator places two labels on the chart, one at the upper DSL band and one at the lower DSL band, displaying the real-time price values of these bands. These labels help traders track the current price relative to the key bands, which are essential in determining potential breakout or reversal zones.
⯌ Visual Confirmation of Momentum Shifts :
By monitoring the relationship between the high and low values of the price relative to the DSL bands, this indicator provides a reliable way to confirm whether the trend is gaining or losing strength. This allows traders to act accordingly, whether it's to enter or exit positions based on trend strength or weakness.
⯁ USER INPUTS
Length : Defines the period used to calculate the DSL lines, influencing the sensitivity of the trend detection.
Offset : Adjusts the offset applied to the upper and lower DSL bands, affecting how the thresholds for strong or weak momentum are set.
Width (ATR Multiplier) : Determines the width of the DSL bands based on an ATR multiplier, providing a dynamic range around the price for momentum analysis.
⯁ CONCLUSION
The DSL Trend Analysis indicator is a powerful tool for assessing price momentum and trend strength. By combining Discontinued Signal Lines with dynamically calculated bands, traders can easily spot key moments when momentum shifts from strong to weak or vice versa. The color-coded lines and real-time price labels provide valuable insights for trading decisions in both trending and ranging markets.
MomentumSignal Kit RSI-MACD-ADX-CCI-CMF-TSI-EStoch// ----------------------------------------
// Description:
// ----------------------------------------
// MomentumKit RSI/MACD-ADX-CCI-CMF-TSI-EStoch Suite is a comprehensive momentum indicator suite designed to provide robust buy and sell signals through the consensus of multiple normalized momentum indicators. This suite integrates the following indicators:
// - **Relative Strength Index (RSI)**
// - **Stochastic RSI**
// - **Moving Average Convergence Divergence (MACD)** with enhanced logic
// - **True Strength Index (TSI)**
// - **Commodity Channel Index (CCI)**
// - **Chaikin Money Flow (CMF)**
// - **Average Directional Index (ADX)**
// - **Ehlers' Stochastic**
//
// **Key Features:**
// 1. **Normalization:** Each indicator is normalized to a consistent scale, facilitating easier comparison and interpretation across different momentum metrics. This uniform scaling allows traders to seamlessly analyze multiple indicators simultaneously without the confusion of differing value ranges.
//
// 2. **Consensus-Based Signals:** By combining multiple indicators, MomentumKit generates buy and sell signals based on the agreement among various momentum measurements. This multi-indicator consensus approach enhances signal reliability and reduces the likelihood of false positives.
//
// 3. **Overlap Analysis:** The normalization process aids in identifying overlapping signals, where multiple indicators point towards a potential change in price or momentum. Such overlaps are strong indicators of significant market movements, providing traders with timely and actionable insights.
//
// 4. **Enhanced Logic for MACD:** The MACD component within MomentumKit utilizes enhanced logic to improve its responsiveness and accuracy in detecting trend changes.
//
// 5. **Debugging Features:** MomentumKit includes advanced debugging tools that display individual buy and sell signals generated by each indicator. These features are intended for users with technical and programming skills, allowing them to:
// - **Visualize Signal Generation:** See real-time buy and sell signals for each integrated indicator directly on the chart.
// - **Adjust Signal Thresholds:** Modify the criteria for what constitutes a buy or sell signal for each indicator, enabling tailored analysis based on specific trading strategies.
// - **Filter and Manipulate Signals:** Enable or disable specific indicators' contributions to the overall buy and sell signals, providing flexibility in signal generation.
// - **Monitor Indicator Behavior:** Utilize debug plots and labels to understand how each indicator reacts to market movements, aiding in strategy optimization.
//
// **Work in Progress:**
// MomentumKit is continuously evolving, with ongoing enhancements to its algorithms and user interface. Current debugging features are designed to offer deep insights for technically adept users, allowing for extensive customization and fine-tuning. Future updates aim to introduce more user-friendly interfaces and automated optimization tools to cater to a broader audience.
//
// **Usage Instructions:**
// - **Visibility Controls:** Users can toggle the visibility of individual indicators to focus on specific momentum metrics as needed.
// - **Parameter Adjustments:** Each indicator comes with customizable parameters, allowing traders to fine-tune the suite according to their trading strategies and market conditions.
// - **Debugging Features:** Enable the debugging mode to visualize individual indicator signals and adjust their contribution to the overall buy/sell signals. This requires a basic understanding of the underlying indicators and their operational thresholds.
//
// **Benefits:**
// - **Simplified Analysis:** Normalization simplifies the process of analyzing multiple indicators, making it easier to identify consistent signals across different momentum measurements.
// - **Improved Decision-Making:** Consensus-based signals backed by multiple normalized indicators provide a higher level of confidence in trading decisions.
// - **Versatility:** Suitable for various trading styles and market conditions, MomentumKit offers a versatile toolset for both novice and experienced traders.
//
// **Technical Requirements:**
// - **Programming Knowledge:** To fully leverage the debugging and signal manipulation features, users should possess a foundational understanding of Pine Script and the mechanics of momentum indicators.
// - **Customization Skills:** Ability to adjust indicator parameters and debug filters to align with specific trading strategies.
//
// **Disclaimer:**
// This indicator suite is intended for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own analysis or consult a qualified financial advisor before making trading decisions.
Stochastics Confluences 4 in 1Description of the Pine Script:
This script plots the Full Stochastic indicator for four different time periods, and highlights conditions where potential buy or sell signals can be identified. The Stochastic indicator measures the position of the current closing price relative to the range of high and low prices over a defined period, helping traders identify overbought and oversold conditions.
Key Features:
Stochastic Calculation for 4 Different Periods:
The script calculates the Stochastic for four separate lookback periods: 9, 14, 40, and 60 bars.
Each Stochastic value is smoothed by a Simple Moving Average (SMA) to reduce noise and provide a clearer signal.
Visual Representation:
It plots each Stochastic value on the chart using different colors, allowing the user to see how the different periods of the indicator behave relative to each other.
Horizontal lines are drawn at 80 (Upper Bound) and 20 (Lower Bound), commonly used to identify overbought and oversold regions.
Highlighting Buy and Sell Conditions:
Green Highlight (Potential Buy Signal):
When all four Stochastic values (for the four different periods) are below 20, this suggests that the asset is in an oversold condition across multiple timeframes. The green background highlight appears when the Stochastic lines converge below 20, indicating a potential buy signal, as the price may be preparing to move upward from an oversold state.
Red Highlight (Potential Sell Signal):
When all four Stochastic values are above 80, the asset is in an overbought condition across multiple timeframes. The red background highlight appears when the Stochastic lines converge above 80, indicating a potential sell signal, as the price may soon reverse downward from an overbought state.
How to Interpret the Signals:
Buy Signals (Green Highlight):
When the chart is highlighted in green, it means the Stochastic indicators for all four periods are below 20, signaling that the asset is oversold and may be nearing a potential upward reversal. This condition suggests a possible buying opportunity, especially when other indicators confirm the potential for an upward trend.
Sell Signals (Red Highlight):
When the chart is highlighted in red, it indicates that the Stochastic indicators for all four periods are above 80, meaning the asset is overbought. This condition signals a possible downward reversal, suggesting a potential selling opportunity if the price begins to show signs of weakness.
By using this script, traders can visually identify periods of strong confluence across different timeframes when the Stochastic indicators are in extreme oversold or overbought conditions, which are traditionally seen as strong buy or sell signals.
This approach helps filter out weaker signals and focuses on moments when all timeframes align, increasing the probability of a successful trade.
[AA]-TrendFlow EMAs - TrendFlow EMAs: A Multi-Dimensional Trend Analysis Tool
The TrendFlow EMAs indicator is designed to help traders identify and act on trends, momentum shifts, and reversals across various timeframes. This tool combines multiple Exponential Moving Averages (EMAs), daily open levels, and PVSRA-based volume analysis to provide unique insights into market dynamics. By layering these components, the indicator offers a well-rounded view of both intraday and longer-term trends, making it suitable for traders of all styles, from scalpers to swing traders.
Key Features and Components:
EMA Trend Cloud with Bias Coloring:
The indicator plots an EMA cloud using two customizable EMAs (default 5 and 13) to highlight the trend's direction and strength.
Bias Coloring on the 50 EMA Cloud: The area between the 50 EMA and its upper/lower limits changes color based on trend bias.
When the 50 EMA rises, the cloud turns light green (bullish bias).
When the 50 EMA falls, the cloud shifts to light red (bearish bias).
This bias coloring helps traders quickly identify the dominant trend and momentum shifts at a glance.
Additional long-term EMAs (100, 200, and 800) provide context for market direction and align signals across different timeframes.
Daily Open Levels for Intraday Context:
This feature marks the daily open price, a key reference point for tracking intraday price action.
Use it to identify whether the market is trending away from or converging towards the daily open, allowing for better intraday entry and exit points.
PVSRA-Based Volume Candle Coloring:
The indicator colors candles using PVSRA (Price, Volume, Spread Analysis) logic to reveal high-volume price moves and fakeouts.
Green and red candles highlight strong bullish or bearish moves. Violet and blue candles indicate potential false moves, cautioning traders to avoid traps.
This volume-weighted candle analysis improves trend validation by helping traders avoid low-confidence setups.
Deviation Table for EMA Overextensions:
A table shows the percentage deviation of price from selected EMAs, helping traders identify overbought or oversold conditions.
Use this data to determine when the market is likely to revert back to mean levels or continue trending.
How to Use the Indicator Effectively:
Trend Confirmation: Use the EMA cloud and bias coloring to confirm trend direction. Enter trades in the direction of the trend when both the short-term and long-term EMAs align.
Intraday Trading: Pay attention to the daily open level—when the price stays above the open, the bias is bullish, and vice versa.
Volume Confirmation: Monitor the PVSRA candle colors to validate or question market moves.
For example, a transparent candle signals a possible fake bearish move, while a green candle indicates a high-confidence bullish push.
EMA Deviations: Consult the deviation table to see if price is extended beyond normal levels, potentially signaling a reversal or retracement.
Default Settings and Customization:
Fast EMA: 5
Slow EMA: 13
Trend Bias EMAs: 12 and 21 (for additional trend filtering)
Long-Term EMAs: 50, 100, 200, and 800
Bias Cloud on 50 EMA: Dynamic coloring to reflect bullish and bearish bias.
Color Modes: Supports dark and light modes for visual customization.
Volume Candles: The PVSRA-based volume coloring offers a clearer view of potential trend traps or momentum surges.
Why This Indicator Stands Out:
The TrendFlow EMAs indicator combines the strengths of multiple strategies—trend-following EMAs, intraday reference levels, and PVSRA-based volume analysis—into a single tool. This mashup creates more reliable signals and helps traders avoid common pitfalls like false breakouts or low-volume traps. The bias coloring on the 50 EMA cloud offers an additional edge, giving traders a quick visual indication of momentum changes. With its clear visual cues, customizable settings, and multi-dimensional insights, TrendFlow EMAs offers a complete solution for traders looking to trade trends confidently and accurately.
Best Practices:
Combine with other tools (like RSI or MACD) to further enhance trade entries and exits.
Adjust the EMA lengths to suit your trading style or the volatility of the asset you are analyzing.
Cosine-Weighted MA ATR [InvestorUnknown]The Cosine-Weighted Moving Average (CWMA) ATR (Average True Range) indicator is designed to enhance the analysis of price movements in financial markets. By incorporating a cosine-based weighting mechanism , this indicator provides a unique approach to smoothing price data and measuring volatility, making it a valuable tool for traders and investors.
Cosine-Weighted Moving Average (CWMA)
The CWMA is calculated using weights derived from the cosine function, which emphasizes different data points in a distinctive manner. Unlike traditional moving averages that assign equal weight to all data points, the cosine weighting allocates more significance to values at the edges of the data window. This can help capture significant price movements while mitigating the impact of outlier values.
The weights are shifted to ensure they remain non-negative, which helps in maintaining a stable calculation throughout the data series. The normalization of these weights ensures they sum to one, providing a proportional contribution to the average.
// Function to calculate the Cosine-Weighted Moving Average with shifted weights
f_Cosine_Weighted_MA(series float src, simple int length) =>
var float cosine_weights = array.new_float(0)
array.clear(cosine_weights) // Clear the array before recalculating weights
for i = 0 to length - 1
weight = math.cos((math.pi * (i + 1)) / length) + 1 // Shift by adding 1
array.push(cosine_weights, weight)
// Normalize the weights
sum_weights = array.sum(cosine_weights)
for i = 0 to length - 1
norm_weight = array.get(cosine_weights, i) / sum_weights
array.set(cosine_weights, i, norm_weight)
// Calculate Cosine-Weighted Moving Average
cwma = 0.0
if bar_index >= length
for i = 0 to length - 1
cwma := cwma + array.get(cosine_weights, i) * close
cwma
Cosine-Weighted ATR Calculation
The ATR is an essential measure of volatility, reflecting the average range of price movement over a specified period. The Cosine-Weighted ATR uses a similar weighting scheme to that of the CWMA, allowing for a more nuanced understanding of volatility. By emphasizing more recent price movements while retaining sensitivity to broader trends, this ATR variant offers traders enhanced insight into potential price fluctuations.
// Function to calculate the Cosine-Weighted ATR with shifted weights
f_Cosine_Weighted_ATR(simple int length) =>
var float cosine_weights_atr = array.new_float(0)
array.clear(cosine_weights_atr)
for i = 0 to length - 1
weight = math.cos((math.pi * (i + 1)) / length) + 1 // Shift by adding 1
array.push(cosine_weights_atr, weight)
// Normalize the weights
sum_weights_atr = array.sum(cosine_weights_atr)
for i = 0 to length - 1
norm_weight_atr = array.get(cosine_weights_atr, i) / sum_weights_atr
array.set(cosine_weights_atr, i, norm_weight_atr)
// Calculate Cosine-Weighted ATR using true ranges
cwatr = 0.0
tr = ta.tr(true) // True Range
if bar_index >= length
for i = 0 to length - 1
cwatr := cwatr + array.get(cosine_weights_atr, i) * tr
cwatr
Signal Generation
The indicator generates long and short signals based on the relationship between the price (user input) and the calculated upper and lower bands, derived from the CWMA and the Cosine-Weighted ATR. Crossover conditions are used to identify potential entry points, providing a systematic approach to trading decisions.
// - - - - - CALCULATIONS - - - - - //{
bar b = bar.new()
float src = b.calc_src(cwma_src)
float cwma = f_Cosine_Weighted_MA(src, ma_length)
// Use normal ATR or Cosine-Weighted ATR based on input
float atr = atr_type == "Normal ATR" ? ta.atr(atr_len) : f_Cosine_Weighted_ATR(atr_len)
// Calculate upper and lower bands using ATR
float cwma_up = cwma + (atr * atr_mult)
float cwma_dn = cwma - (atr * atr_mult)
float src_l = b.calc_src(src_long)
float src_s = b.calc_src(src_short)
// Signal logic for crossovers and crossunders
var int signal = 0
if ta.crossover(src_l, cwma_up)
signal := 1
if ta.crossunder(src_s, cwma_dn)
signal := -1
//}
Backtest Mode and Equity Calculation
To evaluate its effectiveness, the indicator includes a backtest mode, allowing users to test its performance on historical data:
Backtest Equity: A detailed equity curve is calculated based on the generated signals over a user-defined period (startDate to endDate).
Buy and Hold Comparison: Alongside the strategy’s equity, a Buy-and-Hold equity curve is plotted for performance comparison.
Visualization and Alerts
The indicator features customizable plots, allowing users to visualize the CWMA, ATR bands, and signals effectively. The colors change dynamically based on market conditions, with clear distinctions between long and short signals.
Alerts can be configured to notify users of crossover events, providing timely information for potential trading opportunities.
Sine-Weighted MA ATR [InvestorUnknown]The Sine-Weighted MA ATR is a technical analysis tool designed to emphasize recent price data using sine-weighted calculations , making it particularly well-suited for analyzing cyclical markets with repetitive patterns . The indicator combines the Sine-Weighted Moving Average (SWMA) and a Sine-Weighted Average True Range (SWATR) to enhance price trend detection and volatility analysis.
Sine-Weighted Moving Average (SWMA):
Unlike traditional moving averages that apply uniform or exponentially decaying weights, the SWMA applies Sine weights to the price data.
Emphasis on central data points: The Sine function assigns more weight to the middle of the lookback period, giving less importance to the beginning and end points. This helps capture the main trend more effectively while reducing noise from recent volatility or older data.
// Function to calculate the Sine-Weighted Moving Average
f_Sine_Weighted_MA(series float src, simple int length) =>
var float sine_weights = array.new_float(0)
array.clear(sine_weights) // Clear the array before recalculating weights
for i = 0 to length - 1
weight = math.sin((math.pi * (i + 1)) / length)
array.push(sine_weights, weight)
// Normalize the weights
sum_weights = array.sum(sine_weights)
for i = 0 to length - 1
norm_weight = array.get(sine_weights, i) / sum_weights
array.set(sine_weights, i, norm_weight)
// Calculate Sine-Weighted Moving Average
swma = 0.0
if bar_index >= length
for i = 0 to length - 1
swma := swma + array.get(sine_weights, i) * close
swma
Sine-Weighted ATR:
This is a variation of the Average True Range (ATR), which measures market volatility. Like the SWMA, the ATR is smoothed using Sine-based weighting, where central values are more heavily considered compared to the extremities. This improves sensitivity to changes in volatility while maintaining stability in highly volatile markets.
// Function to calculate the Sine-Weighted ATR
f_Sine_Weighted_ATR(simple int length) =>
var float sine_weights_atr = array.new_float(0)
array.clear(sine_weights_atr)
for i = 0 to length - 1
weight = math.sin((math.pi * (i + 1)) / length)
array.push(sine_weights_atr, weight)
// Normalize the weights
sum_weights_atr = array.sum(sine_weights_atr)
for i = 0 to length - 1
norm_weight_atr = array.get(sine_weights_atr, i) / sum_weights_atr
array.set(sine_weights_atr, i, norm_weight_atr)
// Calculate Sine-Weighted ATR using true ranges
swatr = 0.0
tr = ta.tr(true) // True Range
if bar_index >= length
for i = 0 to length - 1
swatr := swatr + array.get(sine_weights_atr, i) * tr
swatr
ATR Bands:
Upper and lower bands are created by adding/subtracting the Sine-Weighted ATR from the SWMA. These bands help identify overbought or oversold conditions, and when the price crosses these levels, it may generate long or short trade signals.
// - - - - - CALCULATIONS - - - - - //{
bar b = bar.new()
float src = b.calc_src(swma_src)
float swma = f_Sine_Weighted_MA(src, ma_length)
// Use normal ATR or Sine-Weighted ATR based on input
float atr = atr_type == "Normal ATR" ? ta.atr(atr_len) : f_Sine_Weighted_ATR(atr_len)
// Calculate upper and lower bands using ATR
float swma_up = swma + (atr * atr_mult)
float swma_dn = swma - (atr * atr_mult)
float src_l = b.calc_src(src_long)
float src_s = b.calc_src(src_short)
// Signal logic for crossovers and crossunders
var int signal = 0
if ta.crossover(src_l, swma_up)
signal := 1
if ta.crossunder(src_s, swma_dn)
signal := -1
//}
Signal Logic:
Long/Short Signals are triggered when the price crosses above or below the Sine-Weighted ATR bands
Backtest Mode and Equity Calculation
To evaluate its effectiveness, the indicator includes a backtest mode, allowing users to test its performance on historical data:
Backtest Equity: A detailed equity curve is calculated based on the generated signals over a user-defined period (startDate to endDate).
Buy and Hold Comparison: Alongside the strategy’s equity, a Buy-and-Hold equity curve is plotted for performance comparison.
Alerts
The indicator includes built-in alerts for both long and short signals, ensuring users are promptly notified when market conditions meet the criteria for an entry or exit.
TEMA For Loop [Mattes]The TEMA For Loop indicator is a powerful tool designed for technical analysis, combining the Triple Exponential Moving Average (TEMA) with a custom scoring mechanism based on a for loop. It evaluates price trends over a specified period, allowing traders to identify potential entry and exit points in the market. This indicator enhances decision-making by providing visual cues through dynamic candle coloring, reflecting market sentiment and trends effectively.
Technical Details:
Triple Exponential Moving Average (TEMA):
- TEMA is known for its responsiveness to price changes, as it reduces lag compared to traditional moving averages. The TEMA calculation employs three nested Exponential Moving Averages (EMAs) to produce a smoother trend line, which helps traders identify the direction and momentum of the market.
Scoring Mechanism:
- The scoring mechanism is based on a custom for loop that compares the current TEMA value to previous values over a specified range. The loop counts how many previous values are less than the current value, generating a score that reflects the strength of the trend:
- A higher score indicates a stronger upward trend.
- A lower (negative) score suggests a downward trend.
Threshold Levels:
- Upper Threshold: A score above this level signals a potential long entry, indicating strong bullish momentum.
- Lower Threshold: A score below this level indicates a potential short entry, suggesting bearish sentiment.
>>>These thresholds are adjustable, allowing traders to fine-tune their strategy according to their risk tolerance and market conditions.
Signal Logic:
- The indicator provides clear signals for entering long or short positions based on the score crossing the defined thresholds.
>>Long Entry Signal: When the smoothed score crosses above the upper threshold.
>>Short Entry Signal: When the smoothed score crosses below the lower threshold.
Why This Indicator Is Useful:
>>> Enhanced Decision-Making: The TEMA For Loop indicator offers traders a clear and objective view of market trends, reducing the emotional aspect of trading. By visualizing bullish and bearish conditions, it assists traders in making timely decisions.
>>> Customizable Parameters: The ability to adjust TEMA period, thresholds, and other settings allows traders to tailor the indicator to their specific trading strategies and market conditions.
Visual Clarity: The integration of dynamic candle coloring provides immediate visual cues about the prevailing trend, making it easier for traders to spot potential trade opportunities at a glance.
The TEMA For Loop - Smoothed with Candle Colors indicator is a sophisticated trading tool that utilizes TEMA and a custom scoring mechanism to identify and visualize market trends effectively. By employing dynamic candle coloring, traders gain immediate insights into market sentiment, enabling informed decision-making for entry and exit strategies. This indicator is designed for traders seeking a systematic approach to trend analysis, enhancing their trading performance through clear, actionable signals.
Breakout & Distribution DetectorHow the Script Works:
1. Bollinger Bands:
• The upper and lower Bollinger Bands are used to detect volatility and potential breakouts. When the price closes above the upper band, it’s considered a bullish breakout. When the price closes below the lower band, it’s a bearish breakout.
2. RSI (Relative Strength Index):
• The RSI is used for momentum confirmation. A bullish breakout is confirmed if the RSI is above 50, and a bearish breakout is confirmed if the RSI is below 50.
• If the RSI enters overbought (above 70) or oversold (below 30) levels, it signals a distribution phase, indicating the market may be ready to reverse or consolidate.
3. Moving Average:
• A simple moving average (SMA) of 20 periods is used to ensure we’re trading in the direction of the trend. Breakouts above the upper Bollinger Band are valid if the price is above the SMA, while breakouts below the lower Bollinger Band are valid if the price is below the SMA.
4. Signals and Alerts:
• BUY Signal: A green “BUY” label appears below the candle if a bullish breakout is detected.
• SELL Signal: A red “SELL” label appears above the candle if a bearish breakout is detected.
• Distribution Phase: The background turns purple if the market enters a distribution phase (RSI in overbought or oversold territory).
• Alerts: You can set alerts based on these conditions to get notifications for breakouts or when the market enters a distribution phase.
MTF Regression with Forecast### **MTF Regression with Forecast, Treasury Yield, Additional Variable & VWAP Filter - Enhanced with Long Regression**
Unlock advanced market insights with our **MTF Regression** indicator, meticulously designed for traders seeking comprehensive multi-timeframe analysis combined with powerful forecasting tools. Whether you're a seasoned trader or just starting out, this indicator offers a suite of features to enhance your trading strategy.
#### **🔍 Key Features:**
- **Multi-Timeframe (MTF) Regression:**
- **Fast, Slow, & Long Regressions:** Analyze price trends across multiple timeframes to capture both short-term movements and long-term trends.
- **Customizable Price Inputs:**
- **Flexible Price Selection:** Choose between Close, Open, High, or Low prices to suit your trading style.
- **Price Transformation:** Option to apply Exponential Moving Averages (EMA) for smoother trend analysis.
- **Diverse Regression Methods:**
- **Multiple Algorithms:** Select from Linear, Exponential, Hull Moving Average (HMA), Weighted Moving Average (WMA), or Spline regressions to best fit your analysis needs.
- **Integrated External Data:**
- **10-Year Treasury Yield:** Incorporate macroeconomic indicators to refine regression accuracy.
- **Additional Variables:** Enhance your analysis by integrating data from other tickers (e.g., NASDAQ:AAPL).
- **Advanced Filtering Options:**
- **VWAP Filter:** Align signals with the Volume Weighted Average Price for improved trade entries.
- **Price Action Filter:** Ensure price behavior supports the generated signals for higher reliability.
- **Enhanced Signal Generation:**
- **Bullish & Bearish Signals:** Identify potential trend reversals and continuations with clear visual cues.
- **Predictive Signals:** Forecast future price movements with forward-looking arrows based on regression slopes.
- **Slope & Acceleration Thresholds:** Customize minimum slope and acceleration levels to fine-tune signal sensitivity.
- **Forecasting Capabilities:**
- **Projection Lines:** Visualize future price trends by extending regression lines based on current slope data.
- **User-Friendly Interface:**
- **Organized Settings Groups:** Easily navigate through price inputs, regression settings, integration options, and more.
- **Customizable Alerts:** Stay informed with configurable alerts for bullish, bearish, and predictive signals.
#### **📈 Why Choose MTF Regression Indicator?**
- **Comprehensive Analysis:** Combines multiple regression techniques and external data sources for a well-rounded market view.
- **Flexibility:** Highly customizable to fit various trading strategies and preferences.
- **Enhanced Decision-Making:** Provides clear signals and forecasts to support informed trading decisions.
- **Efficiency:** Optimized to deliver reliable performance without overloading your trading platform.
Elevate your trading game with the **MTF Regression with Forecast, Treasury Yield, Additional Variable & VWAP Filter** indicator. Harness the power of multi-timeframe analysis and predictive forecasting to stay ahead in the dynamic markets.
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*Feel free to reach out for more information or support. Happy Trading!*
EMA Distance Scanner with Multi-TimeframesThis indicator was created for personal use because I wanted to see, within the five-minute time frame, what is happening with the 15-minute, 1 hour, and 4 hour EMA9 and EMA200.
When the number is green, we are above the EMA value, and when it is red, we are below it. This also helps to get a clearer picture of the short- and long-term trends. When the number is close, within 0.00-0.01%, it turns blue, indicating a potential support level. You can also change the EMA values to your preference in the settings.
Hopefully, this will be helpful for you as well.
RSI & Volume Impact Analyzer Ver.1.00Description:
The RSI VOL Score indicator combines the Relative Strength Index (RSI) and volume data through a mathematical calculation to assist traders in identifying and confirming potential trend reversals and continuations. By leveraging both momentum (RSI) and volume data, this indicator provides a more comprehensive view of market strength compared to using RSI or volume alone.
How It Works:
This indicator calculates a score by comparing the RSI against its moving average, adjusted by the volume data. The resulting score quantifies market momentum and strength. When the score crosses its signal line, it may indicate key moments where the market shifts between bullish and bearish trends, potentially helping traders spot these changes earlier.
Calculation Methods:
The RSI VOL Score allows users to select between several calculation methods to suit their strategy:
SMA (Simple Moving Average): Provides a balanced smoothing approach.
EMA (Exponential Moving Average): Reacts more quickly to recent price changes, offering faster signals.
VWMA (Volume Weighted Moving Average): Emphasizes high-volume periods, focusing on stronger market moves.
WMA (Weighted Moving Average): Applies greater weight to recent data for a more responsive signal.
What the Indicator Plots:
Score Line: Represents a combined metric based on RSI and volume, helping traders gauge the overall strength of the trend.
Signal Line: A smoothed version of the score that helps traders identify potential trend changes. Bullish signals occur when the score crosses above the signal line, while bearish signals occur when the score drops below.
Key Features:
Trend Identification: The score and signal line crossovers can help confirm emerging bullish or bearish trends, allowing traders to act on upward or downward momentum.
Customizable Settings: Traders can adjust the lengths of the RSI and signal line and choose between different moving averages (SMA, EMA, VWMA, WMA) to tailor the indicator to their trading style.
Timeframe-Specific: The indicator works within the selected timeframe, ensuring accurate trend analysis based on the current market context.
Practical Use Cases:
Trending Markets: In trending markets, this indicator helps confirm bullish or bearish signals by validating price moves with volume. Traders can use the crossover of the score and signal line as a guide for entering or exiting trades based on trend strength.
Ranging Markets: In ranging markets, the indicator helps filter out false signals by confirming if price movements are backed by volume, making it a useful tool for traders looking to avoid entering during weak or uncertain market conditions.
Interpreting the Score and Signal Lines:
Bullish Signal: A bullish signal occurs when the score crosses above the signal line, indicating a potential upward trend in momentum and price.
Bearish Signal: A bearish signal is generated when the score crosses below the signal line, suggesting a potential downward trend or weakening market momentum.
By mathematically combining RSI and volume data into a single trend score, the RSI VOL Score indicator provides traders with a powerful tool for identifying trend shifts early and making more confident trading decisions.
Important Note:
The signals generated by this indicator should be interpreted in conjunction with other analysis tools. It is always advisable to confirm signals before making any trading decisions.
Disclaimer:
This indicator is designed to assist traders in their decision-making process and does not provide financial advice. The creators of this tool are not responsible for any financial losses or trading decisions made based on its signals. Trading involves significant risk, and users should seek professional advice or conduct their own research before making any trading decisions.
Trend Following Composite Index ( TFCI ) 🏆 Trend Following Composite Index (TFCI) 🏆
Overview 🔎
The Trend Following Composite Index (TFCI) is designed to provide traders with a comprehensive view of market trends by combining several technical indicators in a single, unified tool. Each component brings its unique perspective, and together they create a well-rounded signal that may help traders better understand the current market condition. TFCI simplifies the decision-making process by aggregating these signals into one easy-to-read confidence percentage, allowing traders to quickly gauge whether the market is trending upwards, downwards, or is in a period of indecision.
Combining Multiple Indicators for a Unique Edge 🔀
TFCI integrates six different technical indicators, each tuned to capture distinct aspects of market behavior. Rather than relying on any single indicator, TFCI merges their signals into one, providing a more nuanced and potentially more reliable view of the market. This combination helps reduce the weaknesses inherent in any one indicator, offering a more balanced and holistic trend signal.
RSI Filter: The RSI helps identify potential overbought or oversold conditions, but when used alone, it can generate false signals. In TFCI, the RSI is smoothed and combined with other metrics to avoid reacting to small fluctuations, making the signals more robust.
Kijun-Based Band: This component, inspired by the Kijun-sen line from the Ichimoku system, defines adaptive price bands based on market equilibrium. When combined with a smoothing filter, it provides traders with clear visual cues for potential trend reversals, reducing the guesswork.
Boosted Moving Average: By combining short- and long-term EMAs, this component reacts quickly to price changes, while the "boost" factor enhances its ability to confirm trends early. This combination helps filter out market noise, making it easier to spot genuine trend shifts.
Deviation Condition: This proprietary moving average adjusts dynamically based on volatility, which means it adapts to fast-changing market conditions. By adjusting its sensitivity based on market deviations, it helps smooth out erratic price movements, creating clearer trend signals.
VWTSI (Volume-Weighted Trend Strength Indicator): Volume is an essential factor in confirming trends. This indicator looks at price movements in relation to volume to assess the strength of the trend. By factoring in volatility, it ensures that traders are focusing on the strongest market moves, further enhancing the reliability of the signals.
Supertrend: A volatility-based trailing stop that defines buy and sell points. Its role in TFCI is to help maintain positions during trending markets while avoiding premature exits due to minor pullbacks.
A Streamlined Confidence Signal 🧮
One of the main advantages of TFCI is that it simplifies the multitude of signals into one easy-to-read confidence percentage. The aggregation of multiple indicators means that no single indicator drives the signal; instead, the combined analysis ensures that only when several conditions align do you get a clear trend indication. This reduces false positives and gives traders a more confident view of the overall market direction.
Bullish signals from several components push the percentage higher.
Bearish signals lower the percentage.
A neutral score indicates indecision, signaling a potential range-bound or consolidating market.This consolidated signal allows traders to make quicker decisions without having to interpret several individual indicators, making the tool more user-friendly and practical for daily trading.
Why TFCI’s Combination is Unique and Useful 🔍
What makes TFCI stand out is how each of these indicators works together to offer a more comprehensive view of the market:
Reduced Noise: By combining multiple indicators, TFCI reduces the likelihood of acting on false signals. The integration of smoothing mechanisms and volume-based confirmations further increases signal reliability.
More Balanced Analysis: Using indicators that analyze price, volume, volatility, and trend strength, TFCI provides a balanced view of market conditions. Traders can trust that the signal reflects multiple facets of the market rather than just one aspect, making it more adaptable to different market environments.
Easier to Read: Instead of juggling multiple charts or relying on complex setups, TFCI combines everything into one clear percentage and visual signal. This saves time and reduces the complexity of decision-making.
Tested Across Market Conditions 📅
While no indicator can predict the future, TFCI has been tested in a range of market conditions. Its ability to adapt to different environments (trending, volatile, or range-bound) makes it a versatile tool, though like any technical tool, it should be used alongside other forms of analysis and risk management.
Custom Display Options for Readability 📊
To make TFCI even more versatile, it includes two display modes:
Table Mode: This mode breaks down the signals from each component, showing traders exactly how each element is contributing to the overall confidence score. Ideal for those who want to dig deeper into the details.
Gauge Mode: A simplified visual display, perfect for traders who want a quick, at-a-glance view of market conditions.
Color Blindness Mode 🌈
TFCI also includes several color palettes for traders affected by color blindness, ensuring everyone can easily interpret the signals.
Conclusion 🔒
TFCI brings together multiple technical indicators in a unique way that aims to improve trend detection by providing a balanced and easy-to-read signal. Its proprietary adjustments and combination of price, volume, and volatility indicators offer a comprehensive view of market conditions, making it a valuable tool for traders of all experience levels. However, it is essential to remember that no past performance can guarantee future results.
Trade Checklist RSI BollingerBands UP/DOWN DaysThis new indicator combines several key technical analysis components to provide traders with a clear, actionable view of market conditions. By integrating consecutive up/down days, RSI, Bollinger Bands, and multiple EMAs (9, 21, and 50), this tool helps identify potential entry and exit points with precision.
Consecutive Up/Down Days: Helps assess momentum by tracking how many days the stock has been moving in one direction, allowing traders to identify overextended trends.
RSI (Relative Strength Index): Provides insights into overbought and oversold conditions, allowing users to gauge the strength of price movements.
Bollinger Bands: Offers a view of volatility, with the proximity of the price to the upper or lower bands signaling potential breakout or reversal opportunities.
9, 21, and 50 EMAs: These EMAs work together to show short, medium, and longer-term trend dynamics. By tracking how far the price is from each EMA in both dollar and percentage terms, traders can easily spot trends, pullbacks, and mean reversion opportunities.
Why This Combination? Each component serves a distinct role, and together they provide a fuller picture of market conditions. The EMAs offer trend direction and potential reversal points, while the RSI and Bollinger Bands assess volatility and momentum. This multi-layered approach allows traders to make informed decisions and avoid relying on any one technical factor, helping them spot high-probability trade setups, such as mean reversion opportunities.
This indicator streamlines technical analysis into one easy-to-read table, eliminating the need for cluttered charts, and enabling traders to quickly assess the market before taking a position.
Trademania - PVSRA IndicatorTrademania - PVSRA Indicator
The Trademania - PVSRA Indicator is based on a proven MT4 indicator suite that has been in use since 2013. Over time, it has been expanded with additional features and tools. Originally developed for the Forex market, it also works well for cryptocurrencies, stocks, and other assets. The goal of this indicator is to combine classic chart analysis with PVSRA analysis, allowing for a clean mixed chart analysis. Traders gain access to a wide range of important information and can use it to form their trading assumptions. The indicator is designed to make it as simple as possible: identifying price levels at the breakout of key support/resistance, for confirmations above/below an imbalance, or recognizing and validating standard structures.
Important: This indicator is designed to be used across all timeframes. It works equally well for scalping on lower timeframes and for larger timeframes, such as spot trading on the 4H or daily chart.
The following core features are available:
- PVSRA Candles
- Dynamic Zones for PVSRA Candles (Imbalance)
- Market sessions with high/low points
- Integrated EMAs (daily, weekly, higher time frames)
- Fully customizable EMAs
- Pivot points with mid/50% level
- Price ranges from yesterday and last week
- Average daily range (also available for weekly and monthly)
- Psychological levels (for Forex)
- Daily open
- High/Low Point of Control (POC) indicators for wicks and candle bodies
- WIL (Weekly Interest Level) - High/Low of the Asian session
- On-chart labels for nearly all elements
Key Features:
- PVSRA, integrated POC levels, and WIL levels distinguish this indicator.
- Integrated EMAs and the daily, weekly, high time frame EMAs can be supplemented or replaced by custom EMAs for maximum flexibility.
Special Feature:
- Lite Mode for better visibility and simplified chart analysis.
Instructions and Notes
PVSRA Candles
Display volume or tick volume on the chart.
- Candles with more than 200% average volume of the last 10 candles, where the product of candle spread and volume is greater than the last 10 candles/timeframes, are shown in green (bullish) and red (bearish).
- Blue and purple candles show the same with 150% average volume of the last 10 candles.
**Note:** To obtain valid information, the trading volume should be as large as possible. If you're viewing the chart of an exchange with low trading volume, you can use the PVSRA override to display the volume from another exchange. For example, you can view the Phemex chart but display the tick/volume of the Binance chart as PVSRA/Vector candles.
Dynamic Zones for PVSRA Candles (Imbalance)
Zones that match the color of the respective vector candle display imbalance on the chart.
- In PVSRA analysis, it is assumed that such imbalances will be revisited and corrected. It can be customized whether this should happen with candle wicks or just the candle bodies.
Market Sessions with High/Low Points (DST)
Relevant market sessions: Sydney/NZX, Tokyo, Hong Kong, EU, New York, as well as the Brinks sessions pre EU/NY, are marked with high/low points and labeled on the chart.
- In PVSRA/Mixed analysis, these represent important liquidity zones of the individual trading sessions, often serving as key support/resistance levels.
WIL (Weekly Interest Level) - High/Low of the Asian Session
The new WIL levels represent the market open/Asian session of the new trading week: Sydney open to Hong Kong close.
- This forms an important price range for the trading week and is always a key breakout zone or rejection area in mixed analysis. Additional liquidity is needed to break through these levels.
- Higher effort against the start of the week – an imbalance (above/below).
High/Low Point of Control (POC) Indicators for Wicks and Candle Bodies
Additionally, the indicator includes pivot-based POC markers at key highs/lows on the chart.
- A POC is generated from the candle footprint (1000 resolution) and displayed on the chart.
- **Note:** If the POC is in a wick, it is shown as a line; if the POC is only in the candle body, it is displayed in small text.
- In mixed analysis, POCs in volume-heavy wicks are always a key indication of price levels that will be revisited and a potential enhancer for a wick-fill upwards or downwards.
EMA/Pivot Points/Psychological Levels Classic/Average Ranges:
Daily/ADR - Weekly/AWR / High/Low values for day/week, as well as the daily open of the current trading day, form the foundation of the indicator.
- Base structures that account for imbalance must break certain price levels to confirm or invalidate a previous movement (bullish or bearish).
- 13/50/200/800 EMA retrace: Breaking these in either direction without addressing an imbalance on the opposite side requires confirmation after the break.
- Pivot-level trading operates on the same principle.
- **Note:** Pivot levels in this indicator have additional M-levels, which represent 50% markers to provide better insights into potential retraces or upward moves.
- For example: Breaking M1, retracing, and confirming at M1 with a target at M2.
To recognize a standard 3-level rise or retrace scenario in mixed analysis, as well as a potential extended chart progression, these levels are essential.
**Note:** Average ranges such as High/Low ADR are particularly important levels where interruptions are expected. Profit-taking, long/short, is common at these points, independent of standard structures. This also applies to the high/low levels of the last trading day and the weekly versions of these levels.
The daily open helps identify possible SPOT/Futures gaps (depending on the asset, such as a missing futures market over the weekend: NAS/DAX).
Important:
The Lite Mode is designed to help traders reduce the chart to essential core functions (PVSRA/EMA/WIL/Psy/Daily Open/Hi-Lo) to apply classic TA effectively and strengthen a mixed analysis or challenge certain assumptions regarding confirmation and imbalance.
**Note:** It is recommended to additionally use a MACD indicator to identify potential trends and momentum.
- For example, a positive MACD trend supporting a 50 EMA breakout with a target of the 200 EMA under positive imbalance (standard mixed pattern).
To cater to personal preferences or trading strategies, it is possible to add custom EMA values to the indicator without the need for a second or third separate indicator.
All functions are fully customizable within the indicator settings.
Options Series - Index Analysis [MasterPiece]
Powerful Insights 🚀:
This script utilizes multiple technical indicators to provide a comprehensive view of stock trends, which increases the reliability of trading signals.
This script also designed to perform index and stock analysis by comparing price movements to moving averages (MA20) and volume-weighted average price (VWAP).
By analyzing a set of top-weighted stocks within an index, the script offers a macro-level view while also delivering stock-specific insights. This dual focus enhances its utility for traders who need to understand both individual stock movements and broader market dynamics.
⭐ Originality: The script presents a unique fusion of multiple indicators with a data-driven approach to analyzing top-weighted stocks in major indices like Nifty and BankNifty. The integration of widely-used technical analysis tools, such as exponential and simple moving averages (EMA, SMA), volume-weighted average price (VWAP), and volume-body size comparisons, offers a holistic framework for traders. By focusing on the top five stocks in the indices, it leverages weightage-based performance analysis, adding a strategic dimension to index trading. This approach not only evaluates individual stock performance but also synthesizes broader market trends.
⭐ Usefulness: This script serves traders who seek a multi-dimensional method for analyzing both index and stock performance. Its key features include:
Bullish and Bearish Signals: The relationship between price, moving averages (MA20), and VWAP identifies directional trends, generating buy/sell signals for both individual stocks and the overall index.
Volume and Candle Body Analysis: By comparing candle body size with volume, the script provides deeper insights into trend strength and market conviction. This allows traders to gauge whether price movements are supported by sufficient trading volume.
Customization: Users have the flexibility to input specific index and stock symbols, making the script adaptable for different markets and instruments beyond just Nifty and BankNifty.
Signal Overlay: The ability to overlay bar color and volume signals directly on the price chart ensures better trend visualization, offering clear and immediate visual cues for potential trading setups.
⭐ Justification for Mashup: The combination of multiple indicators is logical and complementary. Each component serves a distinct purpose that enhances the overall system:
Trend Identification: Moving averages and VWAP provide insights into short and long-term trends, giving traders a reliable baseline for price direction.
Conviction: The inclusion of volume and candle body size comparisons gives additional weight to price action, allowing traders to confirm whether a trend is backed by meaningful market activity.
⭐ Color Customization for Enhanced Visualization:
The script defines custom colors for various conditions and candles, improving clarity for bullish and bearish trends.
Green for Bullish: Dark green for regular bullish candles, and fluorescent green for stronger bullish signals.
Red for Bearish: Dark red for regular bearish candles, and fluorescent red for stronger bearish signals.
Neutral Conditions: Fluorescent yellow is used for neutral conditions.
⭐ Index and Top Stocks Analysis:
This section analyzes top-weighted stocks for indices ( NSE:NIFTY and NSE:BANKNIFTY ), with NSE:BANKNIFTY being used as the default.
Top Stocks for NSE:NIFTY : HDFCBANK, ICICIBANK, RELIANCE, INFY, ITC.
Top Stocks for NSE:BANKNIFTY : HDFCBANK, ICICIBANK, KOTAKBANK, AXISBANK, SBIN.
Customizable Input: Users can modify the index and stock symbols via input.symbol.
⭐ Signal Generation Based on MA20 and VWAP:
The conditions for bullish or bearish signals are based on the relationship between the stock's close price, MA20, and VWAP.
Bullish Signal: Close price greater than both MA20 and VWAP.
Bearish Signal: Close price less than both MA20 and VWAP.
⭐ Volume Bar Signal for Market Activity:
The script analyzes candle body size and volume to detect significant market movements.
Body Size and Volume Comparison: It checks if the current candle’s body size or volume is greater than the moving average of body size or volume over the past 74 bars.
Green Candle (GC) and Red Candle (RC): Boolean conditions to track whether the close price is higher or lower than the open price.
⭐ Average Signals for Strong Trends:
The script calculates average bullish or bearish signals based on the majority of candles being green or red and significant body size or volume.
Bullish Average Signal: At least 4 out of 6 stocks exhibit bullish conditions (green candles, large bodies, or high volume).
Bearish Average Signal: Similar logic for bearish signals with red candles.
⭐ Overlay of Volume Bar Signals:
The plotshape function overlays the bullish and bearish volume bar signals on the chart, using color and shape to indicate trend changes.
🚀 Conclusion:
This Pine Script code provides a robust framework for index analysis based on top 5 weighted stocks, using two primary indicators—MA20 (20-period Moving Average) and VWAP (Volume Weighted Average Price).
Market Bias Identification: The script identifies bullish and bearish conditions for each stock based on whether the close price is above or below MA20 and VWAP.
Volume and Body Size Comparison: It checks if the current candle’s body size or volume exceeds the average to determine significant market moves.
Visualization with Color & Signals: It overlays color signals for bullish (fluorescent green) and bearish (fluorescent red) markets and provides triangle markers for strong volume-based signals.
Top Stock Analysis: The script provides analysis of top five weighted stocks in the selected index, enhancing precision for broader index analysis.
Magnificent 7 Overall Percentage Change with MA and Angle LabelsMagnificent 7 Overall Percentage Change with MA and Angle Labels
Overview:
The "Magnificent 7 Overall Percentage Change with MA and Angle Labels" indicator tracks the percentage change of seven key tech stocks (Apple, Microsoft, Amazon, NVIDIA, Tesla, Meta, and Alphabet) and displays their overall average percentage change on the chart. It also provides a moving average of this overall change and calculates the angle of the moving average to help traders gauge the momentum and direction of the overall trend.
How it works:
Real-Time Percentage Change: The indicator calculates the percentage change of each of the "Magnificent 7" stocks compared to their previous day's closing price, giving a snapshot of the market's performance.
Overall Average: It then computes the average of the seven stocks' percentage changes to reflect the broader movement of these major tech companies.
Moving Average: The indicator offers a choice of four types of moving averages (SMA, EMA, WMA, or VWMA) to smooth the overall percentage change, allowing traders to focus on the trend rather than short-term fluctuations.
Slope and Angle Calculation: To provide additional insights, the indicator calculates the slope of the moving average and converts it into an angle (in degrees). This can help traders determine the strength of the trend—steeper angles often indicate stronger momentum.
Key Features:
Percentage Change of the "Magnificent 7":
Tracks the percentage change of Apple (AAPL), Microsoft (MSFT), Amazon (AMZN), NVIDIA (NVDA), Tesla (TSLA), Meta (META), and Alphabet (GOOGL) on the current chart's timeframe.
Overall Average Change:
Computes the average percentage change across all seven stocks, giving a combined view of how the most influential tech stocks are performing.
Customizable Moving Averages:
Offers four types of moving averages (SMA, EMA, WMA, VWMA) to provide flexibility in tracking the trend of the overall percentage change.
Angle Calculation:
Measures the angle of the moving average in degrees, which helps assess the strength of the market’s momentum. Alerts and visual cues can be triggered based on the angle's steepness.
Visual Cues:
The percentage change is plotted in green when positive and red when negative, with a background color that changes accordingly. A zero line is plotted for reference.
Use Case:
This indicator is ideal for traders and investors looking to track the collective performance of the most dominant tech companies in the market. It provides real-time insights into how the "Magnificent 7" stocks are moving together and offers clues about potential market momentum based on the direction and angle of their average percentage change.
Customization:
Moving Average Type and Length: Choose between different types of moving averages (SMA, EMA, WMA, VWMA) and adjust the length to suit your preferred timeframe.
Angle Threshold: Set an angle threshold to trigger alerts when the moving average slope becomes too steep, indicating strong momentum.
Alerts:
Alerts can be created based on the crossing of the moving average or when the angle of the moving average exceeds a specified threshold. This ensures traders are notified when the trend is accelerating or decelerating significantly.
Conclusion:
The "Magnificent 7 Overall Percentage Change with MA and Angle Labels" indicator is a powerful tool for those wanting to monitor the performance of the most influential tech stocks, analyze their overall trend, and receive timely alerts when market conditions shift.
Custom 4 Moving Averages with Styles & ThresholdsThis Pine Script indicator is designed to provide traders with a unique method of analyzing price action through four customizable moving averages, alongside buy and sell threshold detection. The script is fully original and adds value by allowing traders to configure and visualize multiple MAs with different smoothing options, and by detecting critical buy/sell moments based on the interaction between price and the moving averages.
What the Script Does:
Custom Moving Averages: The script plots four distinct moving averages (MA1, MA2, MA3, and MA4) on the chart. Each MA can be configured for length, offset, and optional smoothing to match different trading strategies. This flexibility allows traders to tailor the script for various timeframes, trend detection, and market conditions.
Buy (BT) and Sell (ST) Threshold Detection: The indicator identifies critical points for buying and selling:
Buy Threshold (BT): The script identifies potential buy points when the current candle's low is above the MA2 from the previous candle, suggesting potential upward momentum.
Sell Threshold (ST): It detects potential sell points when the current MA2 falls below the previous candle’s low, indicating possible downward momentum. These thresholds are clearly marked on the chart with green arrows for BT (Buy) and red arrows for ST (Sell).
Horizontal Threshold Lines: Horizontal lines are drawn when BT or ST conditions are met. These lines help traders visualize support and resistance levels, providing clarity in decision-making. The length of these lines is customizable, allowing users to control how long they remain visible on the chart.
Dynamic Cleanup of Old Lines: To keep the chart clean and reduce clutter, the script automatically removes old BT and ST lines after a set period, ensuring that traders can focus on the most relevant data.
Underlying Concepts:
Moving Averages: Moving averages are a fundamental tool in technical analysis for identifying trends. This script uses various moving averages (calculated from high, low, close, and HL2) and allows for smoothing to adjust the sensitivity to price movements. Traders can apply this flexibility to multiple trading styles, from scalping to swing trading.
Threshold Conditions: The buy and sell conditions in this script are based on simple but effective price action patterns, where the interaction between price and MA2 determines entry or exit points. This approach is useful in trend-following strategies, where traders aim to capitalize on momentum shifts.
How to Use the Script:
Configure Moving Averages: Start by adjusting the lengths, offsets, and smoothing options for each moving average. For short-term trading, shorter MA lengths might be more suitable, while longer MAs can help identify broader trends.
Observe Buy and Sell Signals: Look for green arrows (BT) as potential buy signals and red arrows (ST) as potential sell signals. These signals appear when certain conditions between price and MA2 are met, giving traders clear visual cues for entries and exits.
Support/Resistance Levels: Pay attention to the horizontal lines drawn when BT or ST conditions occur. These lines can act as support or resistance levels, helping you identify potential price targets or stop-loss points.
Why This Script is Useful:
This indicator combines the power of multiple moving averages with customizable features, making it versatile for different market conditions. By adding clear buy and sell signals based on a logical threshold system, the script helps traders make informed decisions with minimal guesswork. Unlike many basic indicators, this one provides flexibility and original insight into market dynamics, making it a valuable tool for both beginner and experienced traders.
SMA Angle AlertsSMA Angle Alerts
Overview:
The "SMA Angle Alerts" indicator measures the angle of the Simple Moving Average (SMA) over a specified number of bars, helping traders identify when the market is gaining or losing momentum. The indicator provides real-time alerts when the angle of the SMA crosses user-defined thresholds, indicating strong upward or downward movements in the trend.
How it works:
SMA Calculation: The indicator calculates the Simple Moving Average (SMA) of the closing price over a customizable length.
Angle Calculation: It determines the slope of the SMA by measuring the price change over a set number of bars and converts that slope into an angle (in degrees).
Alerts: Alerts are triggered when the SMA angle crosses above or below specified thresholds, allowing traders to react to significant trend changes in real time.
Key Features:
Customizable SMA and Angle Threshold:
The length of the SMA and the threshold for the angle can be customized to fit your trading strategy.
Real-Time Alerts:
Alerts are triggered when the angle of the SMA crosses upward or downward by more than the defined threshold, providing actionable insights into trend strength and direction.
Visual Markers:
The chart visually highlights points where the angle of the SMA exceeds the threshold, with "UP" and "DOWN" labels to mark when the angle is steep enough to signal significant trend changes.
Background Color Alerts:
The chart’s background color changes when the angle exceeds the thresholds—green for upward crosses and red for downward crosses—allowing traders to quickly spot moments of interest.
Plotting the Angle:
The slope of the SMA is plotted in degrees, giving traders a visual representation of the market's momentum. Horizontal lines mark the upper and lower angle thresholds, offering a clear view of when price momentum is accelerating or decelerating.
Use Case:
This indicator is ideal for traders looking to catch strong trend reversals, breakouts, or momentum shifts. It can be used across multiple timeframes to monitor market momentum and identify key moments when the trend is gaining strength in either direction.
Customization:
SMA Length: Adjust the length of the SMA to suit different timeframes or asset classes.
Angle Threshold: Define the angle at which alerts are triggered, allowing you to focus on strong upward or downward movements.
Bars to Check: Customize how many bars are used to calculate the slope and angle of the SMA.
Alerts:
Set alerts to notify you when the SMA is angling up or down by more than your specified threshold, ensuring that you never miss a significant trend shift.
SMA, VWAP with Buy/Sell Signals - First Signal OnlyIndicator: SMA, VWAP with First Buy/Sell Signals
Overview:
This indicator plots two Simple Moving Averages (SMA 20 and SMA 200) and the Volume-Weighted Average Price (VWAP) on the chart, with fully customizable colors and line thickness. Additionally, it provides buy and sell signals based on the price action relative to these indicators.
Buy Signal:
A buy signal is generated when a green candle (bullish candle) closes above the SMA 20, SMA 200, and VWAP without touching them (i.e., the low of the candle is above all three). This signal will only be plotted for the first such candle of the day to avoid signal clutter.
Sell Signal:
A sell signal is generated when a candle closes below the SMA 20, SMA 200, and VWAP without touching them (i.e., the high of the candle is below all three). Similar to the buy signal, it will only be plotted for the first qualifying candle of the day.
Customization:
SMAs and VWAP: Users can adjust the lengths, colors, and line thickness of the SMAs and VWAP to suit their preferences.
Signal Shape: You can choose from different shapes (arrow, circle, or cross) to represent the buy and sell signals on the chart.
Key Features:
First Candle Only: Both buy and sell signals are generated only for the first candle that satisfies the conditions, ensuring clean and actionable signals.
Visual Customization: Full control over the appearance of the indicator, including signal shapes and line properties.
Works Across Assets: This indicator is applicable to any asset (stocks, forex, crypto) where price action relative to moving averages and VWAP is important.
Top 5 Trend [KintsugiTrading]Top 5 Trend
This script provides a visual indicator for tracking the average trend of five selected stocks. By calculating the exponential moving average (EMA) of the closing price of the five selected stocks, the indicator helps users quickly assess overall market sentiment. The indicator's original purpose was to inform the user of the direction of the five largest stocks that make up ~25% of the S&P 500.
Key Features:
Custom Stock Selection: Choose any five stocks to monitor and visualize their combined trend.
EMA-Based Trend: The indicator compares a fast and slow EMA to determine the direction of the trend. When the fast EMA is above the slow EMA, the trend is considered bullish (uptrend); otherwise, it's bearish (downtrend).
Customizable Colors: You can easily customize the colors for both uptrends and downtrends, giving you control over the visual representation of the trend.
Trend Bar Display: For an easy, sleek, and simple reference - The script displays a trend arrow in the lower-right corner of the chart for bullish momentum and a trend arrow in the top-right corner of the chart for bearish momentum.
This indicator is perfect for traders who want to monitor the combined movement of a group of major stocks in order to easily compare strengths or weaknesses. It is a key visual aid in understanding if the overall sentiment is bullish or bearish based on the selected stocks' performance, thus making sure the user is always trading on the right side of momentum.
ATR Bands with ATR Cross + InfoTableOverview
This Pine Script™ indicator is designed to enhance traders' ability to analyze market volatility, trend direction, and position sizing directly on their TradingView charts. By plotting Average True Range (ATR) bands anchored at the OHLC4 price, displaying crossover labels, and providing a comprehensive information table, this tool offers a multifaceted approach to technical analysis.
Key Features:
ATR Bands Anchored at OHLC4: Visual representation of short-term and long-term volatility bands centered around the average price.
OHLC4 Dotted Line: A dotted line representing the average of Open, High, Low, and Close prices.
ATR Cross Labels: Visual cues indicating when short-term volatility exceeds long-term volatility and vice versa.
Information Table: Displays real-time data on market volatility, calculated position size based on risk parameters, and trend direction relative to the 20-period Smoothed Moving Average (SMMA).
Purpose
The primary purpose of this indicator is to:
Assess Market Volatility: By comparing short-term and long-term ATR values, traders can gauge the current volatility environment.
Determine Optimal Position Sizing: A calculated position size based on user-defined risk parameters helps in effective risk management.
Identify Trend Direction: Comparing the current price to the 20-period SMMA assists in determining the prevailing market trend.
Enhance Decision-Making: Visual cues and real-time data enable traders to make informed trading decisions with greater confidence.
How It Works
1. ATR Bands Anchored at OHLC4
Average True Range (ATR) Calculations
Short-Term ATR (SA): Calculated over a 9-period using ta.atr(9).
Long-Term ATR (LA): Calculated over a 21-period using ta.atr(21).
Plotting the Bands
OHLC4 Dotted Line: Plotted using small circles to simulate a dotted line due to Pine Script limitations.
ATR(9) Bands: Plotted in blue with semi-transparent shading.
ATR(21) Bands: Plotted in orange with semi-transparent shading.
Overlap: Bands can overlap, providing visual insights into changes in volatility.
2. ATR Cross Labels
Crossover Detection:
SA > LA: Indicates increasing short-term volatility.
Detected using ta.crossover(SA, LA).
A green upward label "SA>LA" is plotted below the bar.
SA < LA: Indicates decreasing short-term volatility.
Detected using ta.crossunder(SA, LA).
A red downward label "SA LA, then the market is considered volatile.
Display: Shows "Yes" or "No" based on the comparison.
b. Position Size Calculation
Risk Total Amount: User-defined input representing the total capital at risk.
Risk per 1 Stock: User-defined input representing the risk associated with one unit of the asset.
Purpose: Helps traders determine the appropriate position size based on their risk tolerance and current market volatility.
c. Is Price > 20 SMMA?
SMMA Calculation:
Calculated using a 20-period Smoothed Moving Average with ta.rma(close, 20).
Logic: If the current close price is above the SMMA, the trend is considered upward.
Display: Shows "Yes" or "No" based on the comparison.
How to Use
Step 1: Add the Indicator to Your Chart
Copy the Script: Copy the entire Pine Script code into the TradingView Pine Editor.
Save and Apply: Save the script and click "Add to Chart."
Step 2: Configure Inputs
Risk Parameters: Adjust the "Risk Total Amount" and "Risk per 1 Stock" in the indicator settings to match your personal risk management strategy.
Step 3: Interpret the Visuals
ATR Bands
Width of Bands: Wider bands indicate higher volatility; narrower bands indicate lower volatility.
Band Overlap: Pay attention to areas where the blue and orange bands diverge or converge.
OHLC4 Dotted Line
Serves as a central reference point for the ATR bands.
Helps visualize the average price around which volatility is measured.
ATR Cross Labels
"SA>LA" Label:
Indicates short-term volatility is increasing relative to long-term volatility.
May signal potential breakout or trend acceleration.
"SA 20 SMMA?
Use this to confirm trend direction before entering or exiting trades.
Practical Example
Imagine you are analyzing a stock and notice the following:
ATR(9) Crosses Above ATR(21):
A green "SA>LA" label appears.
The info table shows "Yes" for "Is ATR-based price volatile."
Position Size:
Based on your risk parameters, the position size is calculated.
Price Above 20 SMMA:
The info table shows "Yes" for "Is price > 20 SMMA."
Interpretation:
The market is experiencing increasing short-term volatility.
The trend is upward, as the price is above the 20 SMMA.
You may consider entering a long position, using the calculated position size to manage risk.
Customization
Colors and Transparency:
Adjust the colors of the bands and labels to suit your preferences.
Risk Parameters:
Modify the default values for risk amounts in the inputs.
Moving Average Period:
Change the SMMA period if desired.
Limitations and Considerations
Lagging Indicators: ATR and SMMA are lagging indicators and may not predict future price movements.
Market Conditions: The effectiveness of this indicator may vary across different assets and market conditions.
Risk of Overfitting: Relying solely on this indicator without considering other factors may lead to suboptimal trading decisions.
Conclusion
This indicator combines essential elements of technical analysis to provide a comprehensive tool for traders. By visualizing ATR bands anchored at the OHLC4, indicating volatility crossovers, and providing real-time data on position sizing and trend direction, it aids in making informed trading decisions.
Whether you're a novice trader looking to understand market volatility or an experienced trader seeking to refine your strategy, this indicator offers valuable insights directly on your TradingView charts.
Code Summary
The script is written in Pine Script™ version 5 and includes:
Calculations for OHLC4, ATRs, Bands, SMMA:
Uses built-in functions like ta.atr() and ta.rma() for calculations.
Plotting Functions:
plotshape() for the OHLC4 dotted line.
plot() and fill() for the ATR bands.
Crossover Detection:
ta.crossover() and ta.crossunder() for detecting ATR crosses.
Labeling Crossovers:
label.new() to place informative labels on the chart.
Information Table Creation:
table.new() to create the table.
table.cell() to populate it with data.
Acknowledgments
ATR and SMMA Concepts: Built upon standard technical analysis concepts widely used in trading.
Pine Script™: Leveraged the capabilities of Pine Script™ version 5 for advanced charting and analysis.
Note: Always test any indicator thoroughly and consider combining it with other forms of analysis before making trading decisions. Trading involves risk, and past performance is not indicative of future results.
Happy Trading!
Gaussian RSI For Loop [TrendX_]The Gaussian RSI For Loop indicator is a sophisticated tool designed for trend-following traders seeking to identify strong uptrends in the market. By integrating a Gaussian and Weighted-MA (GWMA) with the Relative Strength Index (RSI), this indicator employs a loop-based scoring system to provide clear signals for potential trading opportunities. The combination of Gaussian smoothing techniques and overbought/oversold filtering enhances the indicator's ability to capture significant price movements while reducing noise, making it an optimal choice for traders aiming to capitalize on robust upward trends.
💎 KEY FEATURES
Gaussian Weighted Moving Average (GWMA): Smooths price data to reduce noise and enhance responsiveness to significant price changes.
Filtered RSI: Applies the RSI to Gaussian-filtered data, allowing for more accurate momentum readings.
Wavetrend Analysis: Calculates the difference between the Filtered RSI and its short-term moving average, providing additional insights into momentum shifts.
Loop-Based Scoring System: Evaluates the strength and direction of uptrends through a systematic analysis of the Filtered RSI against defined thresholds.
⚙️ USAGES
Identifying Strong Uptrends: Traders can use this indicator to pinpoint periods of strong upward momentum, helping them make informed decisions about entering long positions and its exits.
Trend and Signal Confirmation: The Score confirms Long and Exit signals which traders can see through the Dots on the Gaussian RSI.
🔎 BREAKDOWN
Gaussian-Filtered Data:
The first component of the Gaussian RSI For Loop is the application of a GWMA to the sourced price data. This smoothing technique uses weighted averages based on a Gaussian distribution, which emphasizes more recent prices while diminishing the impact of older prices. This GWMA effectively reduces market noise, allowing traders to focus on significant price movements. By adjusting weights using sigma parameters, traders can fine-tune the sensitivity of the indicator, making it more responsive to genuine market trends while filtering out minor fluctuations that could lead to misleading signals.
Filtered RSI:
Next, the RSI is applied to the Gaussian-filtered data. The RSI measures the speed and change of price movements, providing insights into overbought or oversold conditions. By applying the RSI to smoothed price data, traders obtain a clearer view of momentum without the distortion caused by sudden price spikes or drops. This results in more reliable readings that help identify potential trend reversals or continuations.
Wavetrend Analysis:
The Wavetrend component calculates the difference between the Filtered RSI and its short-term moving average (MA). This difference serves as an additional momentum indicator. When the Filtered RSI is above its short-term MA, it suggests that upward momentum is strengthening; conversely, when it falls below, it indicates weakening momentum. This analysis helps traders confirm whether an uptrend is gaining strength or losing traction.
Loop-Based Scoring System:
Range Analysis: The system evaluates the Filtered RSI by comparing its current value against overbought (OB) and oversold (OS) thresholds over a defined range. This systematic approach ensures that each value within this range contributes to understanding overall trend strength.
Score Calculation: As the loop iterates through values within the defined range, it adjusts a score based on whether the current Filtered RSI and its previous values are higher or lower than established OB and OS levels. This scoring mechanism quantifies trend strength and direction.
Strong Uptrend Trigger: A strong uptrend signal is generated when the score exceeds a predefined Score Threshold (Long). This indicates that bullish momentum is robust enough to warrant entry into long positions.
None Trend: Conversely, if the score falls below the Score Threshold (Short), it suggests that upward momentum has weakened significantly, signaling potential exit points and it can be consolidated or downtrend.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
