Three Step Future-Trend [BigBeluga]Three Step Future-Trend by BigBeluga is a forward-looking trend analysis tool designed to project potential future price direction based on historical periods. This indicator aggregates data from three consecutive periods, using price averages and delta volume analysis to forecast trend movement and visualize it on the chart with a projected trend line and volume metrics.
🔵 Key Features:
Three Period Analysis: Calculates price averages and delta volumes from three specified periods, creating a consolidated view of historical price movement.
Future Trend Line Projection: Plots a forward trend line based on the calculated averag of three periods, helping traders visualize potential future price movement.
Avg Delta Volume and Future Price Label: Shows a delta average Volume a long with a Future Price label at the end of the projected trend line, indicating the possible future delta volume and future Price.
Volume Data Table: Displays a detailed table showing delta and total volume for each of the three periods, allowing quick volume comparison to support the projected trend.
This indicator provides a dynamic way to anticipate market direction by blending price and volume data, giving traders insights into both volume and trend strength in upcoming periods.
Göstergeler ve stratejiler
Loacally Weighted MA (LWMA) Direction HistogramThe Locally Weighted Moving Average (LWMA) Direction Histogram indicator is designed to provide traders with a visual representation of the price momentum and trend direction. This Pine Script, written in version 6, calculates an LWMA by assigning higher weights to recent data points, emphasizing the most current market movements. The script incorporates user-defined input parameters, such as the LWMA length and a direction lookback period, making it flexible to adapt to various trading strategies and preferences.
The histogram visually represents the difference between the current LWMA and a previous LWMA value (based on the lookback period). Positive values are colored blue, indicating upward momentum, while negative values are yellow, signaling downward movement. Additionally, the script colors candlesticks according to the histogram's value, enhancing clarity for users analyzing market trends. The LWMA line itself is plotted on the chart but hidden by default, enabling traders to toggle its visibility as needed. This blend of histogram and candlestick visualization offers a comprehensive tool for identifying shifts in momentum and potential trading opportunities.
[blackcat] L1 Swing Reversal Oscillator█ OVERVIEW
The script defines a custom indicator called the "L1 Swing Reversal Oscillator," which integrates moving averages and RSI to detect possible swing reversals in market trends. Its core purpose is to produce signals derived from the oscillator's indications of overbought or oversold states.
█ LOGICAL FRAMEWORK
The script comprises multiple key segments:
1 — Custom Functions: Encompasses calculate_weighted_moving_average and calculate_l1_swing_reversal_oscillator.
2 — Input Parameters: Permits customization of moving average lengths and weights alongside RSI settings.
3 — Calculations: Employs predefined functions to determine oscillator readings.
4 — Plot Statements: Depicts oscillator outputs graphically on the chart.
Data processing follows this sequence: initial computation of the typical price, subsequent derivation of the adjusted CC1 metric, additional smoothing operations, and finally, RSI evaluation prior to plotting the resultant oscillator figures.
█ CUSTOM FUNCTIONS
• calculate_weighted_moving_average(source, length, weight) : Generates a weighted moving average from the provided source material utilizing specified duration and coefficient inputs.
– Returns computed weighted moving average.
• calculate_l1_swing_reversal_oscillator(close_price, high_price, low_price, sma_length, sma_weight, rsi_length) : Assesses the L1 Swing Reversal Oscillator leveraging closing, highest, and lowest prices along with defined SMA span, weighting factor, and RSI period.
– Yields an array featuring central CC1, CB1, CB2, and RSI metrics.
█ KEY POINTS AND TECHNIQUES
• Weighted Moving Average: Incorporates bespoke functionality for computing weighted moving averages, distinct from built-in Pine Script methods.
• RSI Calculation: Employs customized logic for calculating Relative Strength Index, offering adaptable computational approaches.
• Plotting Techniques: Implements color coding contingent upon oscillator values to emphasize visual cues regarding overbought and oversold statuses.
• Optimization: Furnishes adjustable parameters including SMA timeframe, weightage, and RSI interval enabling personalized fine-tuning per user requirements.
█ EXTENDED KNOWLEDGE AND APPLICATIONS
• Modifications: Potential enhancements involve integrating supplementary oscillators like MACD or Stochastic Oscillator alongside the existing L1 Swing Reversal Oscillator.
• Application Scenarios: Comparable methodologies can be adopted within various trading frameworks focusing on momentum shifts such as trend-following or mean reversion tactics.
• Related Concepts: Proficiency in crafting custom functions, manipulating moving averages, and interpreting RSI within Pine Script environment proves advantageous when altering or expanding on current script functionalities. Understanding utilization of nz and na functions for managing null data points adds significant depth.
LRI Momentum Cycles [AlgoAlpha]Discover the LRI Momentum Cycles indicator by AlgoAlpha, a cutting-edge tool designed to identify market momentum shifts using trend normalization and linear regression analysis. This advanced indicator helps traders detect bullish and bearish cycles with enhanced accuracy, making it ideal for swing traders and intraday enthusiasts alike.
Key Features :
🎨 Customizable Appearance : Set personalized colors for bullish and bearish trends to match your charting style.
🔧 Dynamic Trend Analysis : Tracks market momentum using a unique trend normalization algorithm.
📊 Linear Regression Insight : Calculates real-time trend direction using linear regression for better precision.
🔔 Alert Notifications : Receive alerts when the market switches from bearish to bullish or vice versa.
How to Use :
🛠 Add the Indicator : Favorite and apply the indicator to your TradingView chart. Adjust the lookback period, linear regression source, and regression length to fit your strategy.
📊 Market Analysis : Watch for color changes on the trend line. Green signals bullish momentum, while red indicates bearish cycles. Use these shifts to time entries and exits.
🔔 Set Alerts : Enable notifications for momentum shifts, ensuring you never miss critical market moves.
How It Works :
The LRI Momentum Cycles indicator calculates trend direction by applying linear regression on a user-defined price source over a specified period. It compares historical trend values, detecting bullish or bearish momentum through a dynamic scoring system. This score is normalized to ensure consistent readings, regardless of market conditions. The indicator visually represents trends using gradient-colored plots and fills to highlight changes in momentum. Alerts trigger when the momentum state changes, providing actionable trading signals.
Algorithmic Signal AnalyzerMeet Algorithmic Signal Analyzer (ASA) v1: A revolutionary tool that ushers in a new era of clarity and precision for both short-term and long-term market analysis, elevating your strategies to the next level.
ASA is an advanced TradingView indicator designed to filter out noise and enhance signal detection using mathematical models. By processing price movements within defined standard deviation ranges, ASA produces a smoothed analysis based on a Weighted Moving Average (WMA). The Volatility Filter ensures that only relevant price data is retained, removing outliers and improving analytical accuracy.
While ASA provides significant analytical advantages, it’s essential to understand its capabilities in both short-term and long-term use cases. For short-term trading, ASA excels at capturing swift opportunities by highlighting immediate trend changes. Conversely, in long-term trading, it reveals the overall direction of market trends, enabling traders to align their strategies with prevailing conditions.
Despite these benefits, traders must remember that ASA is not designed for precise trade execution systems where accuracy in timing and price levels is critical. Its focus is on analysis rather than order management. The distinction is crucial: ASA helps interpret price action effectively but may not account for real-time market factors such as slippage or execution delays.
Features and Functionality
ASA integrates multiple tools to enhance its analytical capabilities:
Customizable Moving Averages: SMA, EMA, and WMA options allow users to tailor the indicator to their trading style.
Signal Detection: Identifies bullish and bearish trends using the Relative Exponential Moving Average (REMA) and marks potential buy/sell opportunities.
Visual Aids: Color-coded trend lines (green for upward, red for downward) simplify interpretation.
Alert System: Notifications for trend swings and reversals enable timely decision-making.
Notes on Usage
ASA’s effectiveness depends on the context in which it is applied. Traders should carefully consider the trade-offs between analysis and execution.
Results may vary depending on market conditions and chart types. Backtesting with ASA on standard charts provides more reliable insights compared to non-standard chart types.
Short-term use focuses on rapid trend recognition, while long-term application emphasizes understanding broader market movements.
Takeaways
ASA is not a tool for precise trade execution but a powerful aid for interpreting price trends.
For short-term trading, ASA identifies quick opportunities, while for long-term strategies, it highlights trend directions.
Understanding ASA’s limitations and strengths is key to maximizing its utility.
ASA is a robust solution for traders seeking to filter noise, enhance analytical clarity, and align their strategies with market movements, whether for short bursts of activity or sustained trading goals.
Kernel Regression Envelope with SMI OscillatorThis script combines kernel regression, envelope calculations, and the Stochastic Momentum Index (SMI) to generate trading signals. It uses a Nadaraya-Watson estimator with a Rational Quadratic kernel to model price trends, constructs an envelope around the estimated trend using Average True Range (ATR), and utilizes the SMI to identify potential overbought/oversold conditions for entry and exit points.
Strategy Logic:
Kernel Regression:
The script employs the Nadaraya-Watson estimator, a non-parametric regression technique, to estimate the underlying trend of the price.
It utilizes the Rational Quadratic kernel function, which allows for flexible weighting of past data points based on their distance in time.
The h parameter controls the lookback window (number of bars used for estimation), alpha determines the relative weighting of time frames, and x_0 sets the starting bar for regression.
Envelope Calculation:
An envelope is created around the estimated trend (yhat_close) to define potential support and resistance levels.
The envelope's boundaries are calculated using a multiple of the ATR, which measures market volatility.
nearFactor and farFactor control the width of the envelope, creating near and far boundaries.
Smoothing:
The script includes an option to smooth the SMA output using various moving average types (SMA, EMA, SMMA, WMA, VWMA).
This smoothing helps to filter out noise and provide a clearer trend signal.
Stochastic Momentum Index (SMI):
The SMI is used as a momentum oscillator to identify potential overbought and oversold conditions.
It measures the distance of the current close relative to the midpoint of the high-low range over a specified period.
Crossovers between the SMI and its EMA signal potential trend reversals.
Entry and Exit Conditions:
Long Entry: A long position is entered when the smoothing line is below the lower far boundary of the envelope, the SMI crosses above its EMA, and the SMI is below -50 (indicating oversold conditions).
Short Entry: A short position is entered when the smoothing line is above the upper far boundary of the envelope, the SMI crosses below its EMA, and the SMI is above 50 (indicating overbought conditions).
Long Exit: A long position is closed when the price crosses above the upper far boundary.
Short Exit: A short position is closed when the price crosses below the lower far boundary.
Stop Loss: A stop loss is set at a user-defined number of ticks below the entry price for long positions and above the entry price for short positions.
Customization:
The script offers extensive customization options, including:
Kernel parameters (lookback window, relative weighting, starting bar)
Envelope parameters (ATR length, near/far factors)
Smoothing method and length
SMI parameters (lengths for %K, %D, and EMA)
Timeframe for SMI calculation
Colors for plots and fills
Stop loss level
Disclaimer:
This script is for educational purposes and should not be considered financial advice. Backtesting and thorough analysis are recommended before using this strategy in live trading. The effectiveness of the strategy may vary depending on market conditions and the chosen parameters.
Log Regression OscillatorThe Log Regression Oscillator transforms the logarithmic regression curves into an easy-to-interpret oscillator that displays potential cycle tops/bottoms.
🔶 USAGE
Calculating the logarithmic regression of long-term swings can help show future tops/bottoms. The relationship between previous swing points is calculated and projected further. The calculated levels are directly associated with swing points, which means every swing point will change the calculation. Importantly, all levels will be updated through all bars when a new swing is detected.
The "Log Regression Oscillator" transforms the calculated levels, where the top level is regarded as 100 and the bottom level as 0. The price values are displayed in between and calculated as a ratio between the top and bottom, resulting in a clear view of where the price is situated.
The main picture contains the Logarithmic Regression Alternative on the chart to compare with this published script.
Included are the levels 30 and 70. In the example of Bitcoin, previous cycles showed a similar pattern: the bullish parabolic was halfway when the oscillator passed the 30-level, and the top was very near when passing the 70-level.
🔹 Proactive
A "Proactive" option is included, which ensures immediate calculations of tentative unconfirmed swings.
Instead of waiting 300 bars for confirmation, the "Proactive" mode will display a gray-white dot (not confirmed swing) and add the unconfirmed Swing value to the calculation.
The above example shows that the "Calculated Values" of the potential future top and bottom are adjusted, including the provisional swing.
When the swing is confirmed, the calculations are again adjusted, showing a red dot (confirmed top swing) or a green dot (confirmed bottom swing).
🔹 Dashboard
When less than two swings are available (top/bottom), this will be shown in the dashboard.
The user can lower the "Threshold" value or switch to a lower timeframe.
🔹 Notes
Logarithmic regression is typically used to model situations where growth or decay accelerates rapidly at first and then slows over time, meaning some symbols/tickers will fit better than others.
Since the logarithmic regression depends on swing values, each new value will change the calculation. A well-fitted model could not fit anymore in the future.
Users have to check the validity of swings; for example, if the direction of swings is downwards, then the dataset is not fitted for logarithmic regression.
In the example above, the "Threshold" is lowered. However, the calculated levels are unreliable due to the swings, which do not fit the model well.
Here, the combination of downward bottom swings and price accelerates slower at first and faster recently, resulting in a non-fit for the logarithmic regression model.
Note the price value (white line) is bound to a limit of 150 (upwards) and -150 (down)
In short, logarithmic regression is best used when there are enough tops/bottoms, and all tops are around 100, and all bottoms around 0.
Also, note that this indicator has been developed for a daily (or higher) timeframe chart.
🔶 DETAILS
In mathematics, the dot product or scalar product is an algebraic operation that takes two equal-length sequences of numbers (arrays) and returns a single number, the sum of the products of the corresponding entries of the two sequences of numbers.
The usual way is to loop through both arrays and sum the products.
In this case, the two arrays are transformed into a matrix, wherein in one matrix, a single column is filled with the first array values, and in the second matrix, a single row is filled with the second array values.
After this, the function matrix.mult() returns a new matrix resulting from the product between the matrices m1 and m2.
Then, the matrix.eigenvalues() function transforms this matrix into an array, where the array.sum() function finally returns the sum of the array's elements, which is the dot product.
dot(x, y)=>
if x.size() > 1 and y.size() > 1
m1 = matrix.new()
m2 = matrix.new()
m1.add_col(m1.columns(), y)
m2.add_row(m2.rows (), x)
m1.mult (m2)
.eigenvalues()
.sum()
🔶 SETTINGS
Threshold: Period used for the swing detection, with higher values returning longer-term Swing Levels.
Proactive: Tentative Swings are included with this setting enabled.
Style: Color Settings
Dashboard: Toggle, "Location" and "Text Size"
IU Opening range Breakout StrategyIU Opening Range Breakout Strategy
This Pine Script strategy is designed to capitalize on the breakout of the opening range, which is a popular trading approach. The strategy identifies the high and low prices of the opening session and takes trades based on price crossing these levels, with built-in risk management and trade limits for intraday trading.
Key Features:
1. Risk Management:
- Risk-to-Reward Ratio (RTR):
Set a customizable risk-to-reward ratio to calculate target prices based on stop-loss levels.
Default: 2:1
- Max Trades in a Day:
Specify the maximum number of trades allowed per day to avoid overtrading.
Default: 2 trades in a day.
- End-of-Day Close:
Automatically closes all open positions at a user-defined session end time to ensure no overnight exposure.
Default: 3:15 PM
2. Opening Range Identification
- Opening Range High and Low:
The script detects the high and low of the first trading session using Pine Script's session functions.
These levels are plotted as visual guides on the chart:
- High: Lime-colored circles.
- Low: Red-colored circles.
3. Trade Entry Logic
- Long Entry:
A long trade is triggered when the price closes above the opening range high.
- Entry condition: Crossover of the price above the opening range high.
-Short Entry:
A short trade is triggered when the price closes below the opening range low.
- Entry condition: Crossunder of the price below the opening range low.
Both entries are conditional on the absence of an existing position.
4. Stop Loss and Take Profit
- Long Position:
- Stop Loss: Previous candle's low.
- Take Profit: Calculated based on the RTR.
- **Short Position:**
- **Stop Loss:** Previous candle's high.
- **Take Profit:** Calculated based on the RTR.
The strategy plots these levels for visual reference:
- Stop Loss: Red dashed lines.
- Take Profit: Green dashed lines.
5. Visual Enhancements
-Trade Level Highlighting:
The script dynamically shades the areas between the entry price and SL/TP levels:
- Red shading for the stop-loss region.
- Green shading for the take-profit region.
- Entry Price Line:
A silver-colored line marks the average entry price for active trades.
How to Use:
1.Input Configuration:
Adjust the Risk-to-Reward ratio, max trades per day, and session end time to suit your trading preferences.
2.Visual Cues:
Use the opening range high/low lines and shading to identify potential breakout opportunities.
3.Execution:
The strategy will automatically enter and exit trades based on the conditions. Review the plotted SL and TP levels to monitor the risk-reward setup.
Important Notes:
- This strategy is designed for intraday trading and works best in markets with high volatility during the opening session.
- Backtest the strategy on your preferred market and timeframe to ensure compatibility.
- Proper risk management and position sizing are essential when using this strategy in live markets.
Zero-Lag MA CandlesThe Zero-Lag MA Candles indicator combines the efficiency of a Zero-Lag Moving Average (ZLMA) with dynamic candlestick coloring to provide a clear visual representation of market trends. By leveraging a dual EMA-based calculation, the ZLMA achieves reduced lag, enhancing its responsiveness to price changes. The indicator plots candles on the chart with colors determined by the trend direction of the ZLMA over a user-defined lookback period. Blue candles signify an uptrend, while yellow candles indicate a downtrend, offering traders an intuitive way to identify market sentiment.
This indicator is particularly useful for trend-following strategies, as the crossover and crossunder between the ZLMA and the standard EMA highlight potential reversal points or trend continuation zones. With customizable inputs for ZLMA length, trend lookback period, and color schemes, it caters to diverse trading preferences. Its ability to plot directly on the chart ensures seamless integration with other analysis tools, making it a valuable addition to a trader's toolkit.
Happy trading...
GainzAlgo Pro// © GainzAlgo
//@version=5
indicator('GainzAlgo Pro', overlay=true, max_labels_count=500)
candle_stability_index_param = input.float(0.5, 'Candle Stability Index', 0, 1, step=0.1, group='Technical', tooltip='Candle Stability Index measures the ratio between the body and the wicks of a candle. Higher - more stable.')
rsi_index_param = input.int(50, 'RSI Index', 0, 100, group='Technical', tooltip='RSI Index measures how overbought/oversold is the market. Higher - more overbought/oversold.')
candle_delta_length_param = input.int(5, 'Candle Delta Length', 3, group='Technical', tooltip='Candle Delta Length measures the period over how many candles the price increased/decreased. Higher - longer period.')
disable_repeating_signals_param = input.bool(true, 'Disable Repeating Signals', group='Technical', tooltip='Removes repeating signals. Useful for removing clusters of signals and general clarity')
GREEN = color.rgb(29, 255, 40)
RED = color.rgb(255, 0, 0)
TRANSPARENT = color.rgb(0, 0, 0, 100)
label_size = input.string('normal', 'Label Size', options= , group='Cosmetic')
label_style = input.string('text bubble', 'Label Style', , group='Cosmetic')
buy_label_color = input(GREEN, 'BUY Label Color', inline='Highlight', group='Cosmetic')
sell_label_color = input(RED, 'SELL Label Color', inline='Highlight', group='Cosmetic')
label_text_color = input(color.white, 'Label Text Color', inline='Highlight', group='Cosmetic')
stable_candle = math.abs(close - open) / ta.tr > candle_stability_index_param
rsi = ta.rsi(close, 14)
bullish_engulfing = close < open and close > open and close > open
rsi_below = rsi < rsi_index_param
decrease_over = close < close
bull = bullish_engulfing and stable_candle and rsi_below and decrease_over and barstate.isconfirmed
bearish_engulfing = close > open and close < open and close < open
rsi_above = rsi > 100 - rsi_index_param
increase_over = close > close
bear = bearish_engulfing and stable_candle and rsi_above and increase_over and barstate.isconfirmed
var last_signal = ''
if bull and (disable_repeating_signals_param ? (last_signal != 'buy' ? true : na) : true)
if label_style == 'text bubble'
label.new(bull ? bar_index : na, low, 'BUY', color=buy_label_color, style=label.style_label_up, textcolor=label_text_color, size=label_size)
else if label_style == 'triangle'
label.new(bull ? bar_index : na, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_triangleup, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bull ? bar_index : na, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_arrowup, textcolor=TRANSPARENT, size=label_size)
last_signal := 'buy'
if bear and (disable_repeating_signals_param ? (last_signal != 'sell' ? true : na) : true)
if label_style == 'text bubble'
label.new(bear ? bar_index : na, high, 'SELL', color=sell_label_color, style=label.style_label_down, textcolor=label_text_color, size=label_size)
else if label_style == 'triangle'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_triangledown, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_arrowdown, textcolor=TRANSPARENT, size=label_size)
last_signal := 'sell'
alertcondition(bull, 'BUY Signals', 'New signal: BUY')
alertcondition(bear, 'SELL Signals', 'New signal: SELL')
Adaptive Price Zone Oscillator [QuantAlgo]Adaptive Price Zone Oscillator 🎯📊
The Adaptive Price Zone (APZ) Oscillator by QuantAlgo is an advanced technical indicator designed to identify market trends and reversals through adaptive price zones based on volatility-adjusted bands. This sophisticated system combines typical price analysis with dynamic volatility measurements to help traders and investors identify trend direction, potential reversals, and market volatility conditions. By evaluating both price action and volatility together, this tool enables users to make informed trading decisions while adapting to changing market conditions.
💫 Dynamic Zone Architecture
The APZ Oscillator provides a unique framework for assessing market trends through a blend of smoothed typical prices and volatility-based calculations. Unlike traditional oscillators that use fixed parameters, this system incorporates dynamic volatility measurements to adjust sensitivity automatically, helping users determine whether price movements are significant relative to current market conditions. By combining smoothed price trends with adaptive volatility zones, it evaluates both directional movement and market volatility, while the smoothing parameters ensure stable yet responsive signals. This adaptive approach allows users to identify trending conditions while remaining aware of volatility expansions and contractions, enhancing both trend-following and mean-reversion strategies.
📊 Indicator Components & Mechanics
The APZ Oscillator is composed of several technical components that create a dynamic trending system:
Typical Price: Utilizes HLC3 (High, Low, Close average) as a balanced price representation
Volatility Measurement: Computes exponential moving average of price changes to determine dynamic zones
Smoothed Calculations: Applies additional smoothing to reduce noise while maintaining responsiveness
Trend Detection: Evaluates price position relative to adaptive zones to determine market direction
📈 Key Indicators and Features
The APZ Oscillator utilizes typical price with customizable length and threshold parameters to adapt to different trading styles. Volatility calculations are applied to determine zone boundaries, providing context-aware levels for trend identification. The trend detection component evaluates price action relative to the adaptive zones, helping validate trends and identify potential reversals.
The indicator also incorporates multi-layered visualization with:
Color-coded trend representation (bullish/bearish)
Clear trend state indicators (+1/-1)
Mean reversion signals with distinct markers
Gradient fills for better visual clarity
Programmable alerts for trend changes
⚡️ Practical Applications and Examples
✅ Add the Indicator : Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Trend State : Watch the oscillator's position relative to the zero line to identify trend direction and potential reversals. The step-line visualization with diamonds makes trend changes clearly visible.
🎯 Track Signals : Pay attention to the mean reversion markers that appear above and below the price chart:
→ Upward triangles (⤻) signal potential bullish reversals
→ X crosses (↷) indicate potential bearish reversals
🔔 Set Alerts : Configure alerts for trend changes in both bullish and bearish directions, ensuring you can act on significant technical developments promptly.
🌟 Summary and Tips
The Adaptive Price Zone Oscillator by QuantAlgo is a versatile technical tool, designed to support both trend following and mean reversion strategies across different market environments. By combining smoothed typical price analysis with dynamic volatility-based zones, it helps traders and investors identify significant trend changes while measuring market volatility, providing reliable technical signals. The tool's adaptability through customizable length, threshold, and smoothing parameters makes it suitable for various trading timeframes and styles, allowing users to capture opportunities while maintaining awareness of changing market conditions.
Key parameters to optimize for your trading style:
APZ Length: Adjust for more or less sensitivity to price changes
Threshold: Fine-tune the volatility multiplier for wider or narrower zones
Smoothing: Balance noise reduction with signal responsiveness
SUHAIL Trend Levels [BigBeluga]+ percent trendthis indicator is the best indicator and all market works great working. money flow
Simple Backtester for LuxAlgo® Signals & Overlays™This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
© Chart0bserver
This strategy is NOT from the LuxAlgo® developers. We created this to compliment their hard work. No association with LuxAlgo® is intended nor implied.
Please visit chart.observer to test your Tradingview Strategies in our paper-trading sandbox environment. Webhook your alerts to our API. Past performance does not ensure future results. This strategy provided with absolutely no warranty and is for educational purposes only
The goal of this strategy is to enter a long position using the Custom Alert condition feature of LuxAlgo® Signals & Overlays™ indicator.
To trigger an exit from the long position, use one or more of the common exit signals which the Signals & Overlays™ indicator provides. You will need to connect those signals to this strategy in the Inputs dialog box.
We're calling this a "piggyback" strategy because the LuxAlgo® Signals & Overlays indicator must be present, and remain on the chart.
The Signals and Overlays™ indicator is invite-only, and requires a paid subscription from LuxAlgo® - luxalgo.com
Improved Scalping Signals Indicator (1-Minute)Improved Scalping Signals Indicator (1-Minute)
includes predictions and buy sell signals based on different indicators for scalping./
Multi Timeframe Candle/Retracement (MTCR)This script provides a visual representation of candlestick and pivot point information from higher timeframes within a lower timeframe chart. It is ideal for traders looking to analyze price movements and identify potential support and resistance zones in the context of a broader timeframe.
Key Features :
Multi-Timeframe Candlestick Visualization:
Displays candlesticks of the selected higher timeframe.
Highlights bullish and bearish candles with distinct colors to identify trends.
Pivot Point Analysis:
Calculates and visualizes pivot points based on the standard or Fibonacci model.
Supports customizable step sizes (rounding pivot values).
Highlights resistance levels (R1, R2, R3), support zones (S1, S2, S3), and a central base line.
Medians and High/Low Zones:
Visualizes median lines between pivot levels.
Optionally displays high and low zones.
Dynamic Updates:
Automatically updates lines and boxes with new candles or pivot calculations.
Visually marks when the current price touches key levels.
Settings :
Timeframe Selection:
Choose a higher timeframe for candlestick and pivot point visualization.
Customizable Colors:
Adjust colors for bullish and bearish candles, as well as for pivot point zones.
Flexible Display Options:
Display only the desired elements, such as pivot lines, median lines, high/low zones, or the base line.
Use Cases :
Identify key support and resistance zones using pivot points.
Analyze price movements on higher timeframes while trading on lower ones.
Utilize median lines to find potential reversal zones or areas for risk/reward analysis.
Notes :
This script is designed for advanced users with a solid understanding of multi-timeframe analysis and pivot points.
It uses multiple drawing objects (lines, boxes), so ensure your chart does not hit its drawing object limit.
Good luck with your trading! 🚀
EZ Trend IndicatorMade this to help me not be a bozo and to stick to the trend
I like taking the labels off
cheers
Strength of Divergence Across Multiple Indicators (+CMF&VWMACD)Modified Version of Strength of Divergence Across Multiple Indicators by reees
Purpose:
This Pine Script indicator is designed to identify and evaluate the strength of bullish and bearish divergences across multiple technical indicators. Divergences occur when the price of an asset is moving in one direction while a technical indicator is moving in the opposite direction, potentially signaling a trend reversal.
Key Features:
1. Multiple Indicator Support: The script now analyzes divergences for the following indicators:
* RSI (Relative Strength Index)
* OBV (On-Balance Volume)
* MACD (Moving Average Convergence/Divergence)
* STOCH (Stochastic Oscillator)
* CCI (Commodity Channel Index)
* MFI (Money Flow Index)
* AO (Awesome Oscillator)
* CMF (Chaikin Money Flow) - Newly added
* VWMACD (Volume-Weighted MACD) - Newly added
2. Customizable Divergence Parameters:
* Bullish/Bearish: Enable or disable the detection of bullish and bearish divergences independently.
* Regular/Hidden: Detect both regular and hidden divergences (hidden divergences can indicate trend continuation).
* Broken Trendline Exclusion: Optionally ignore divergences where the trendline connecting price pivots is broken by an intermediate pivot.
* Pivot Lookback Periods: Adjust the number of bars used to identify valid pivot highs and lows for divergence calculations.
* Weighting: Assign different weights to regular vs. hidden divergences and to the relative change in price vs. the indicator.
3. Indicator-Specific Settings:
* Weight: Each indicator can be assigned a weight, influencing its contribution to the overall divergence strength calculation.
* Extreme Value: Define a threshold above which an indicator's divergence is considered "extreme," giving it a higher strength rating.
4. Divergence Strength Calculation:
* For each indicator, the script calculates a divergence "degree" based on the magnitude of the divergence and the user-defined weightings.
* The total divergence strength is the sum of the individual indicator divergence degrees.
* Strength is categorized as "Extreme," "Very strong," "Strong," "Moderate," "Weak," or "Very weak."
5. Visualization:
* Divergence Lines: The script draws lines on the chart connecting the price and indicator pivots that form a divergence (optional, with customizable transparency).
* Labels: Labels display the total divergence strength and a breakdown of each indicator's contribution. The size and visibility of labels are based on the strength.
6. Alerts:
* The script can generate alerts when the total divergence strength exceeds a user-defined threshold.
New Indicators (CMF and VWMACD):
* Chaikin Money Flow (CMF):
* Purpose: Measures the buying and selling pressure by analyzing the relationship between price, volume, and the accumulation/distribution line.
* Divergence: A bullish CMF divergence occurs when the price makes a lower low, but the CMF makes a higher low (suggesting increasing buying pressure). A bearish divergence is the opposite.
* Volume-Weighted MACD (VWMACD):
* Purpose: Similar to the standard MACD but uses volume-weighted moving averages instead of simple moving averages, giving more weight to periods with higher volume.
* Divergence: Divergences are interpreted similarly to the standard MACD, but the VWMACD can be more sensitive to volume changes.
How It Works (Simplified):
1. Pivot Detection: The script identifies pivot highs and lows in both price and the selected indicators using the specified lookback periods.
2. Divergence Check: For each indicator:
* It checks if a series of pivots in price and the indicator are diverging (e.g., price makes a lower low, but the indicator makes a higher low for a bullish divergence).
* It calculates the divergence degree based on the difference in price and indicator values, weightings, and whether it's a regular or hidden divergence.
3. Strength Aggregation: The script sums up the divergence degrees of all enabled indicators to get the total divergence strength.
4. Visualization and Alerts: It draws lines and labels on the chart to visualize the divergences and generates alerts if the total strength exceeds the set threshold.
Benefits:
* Comprehensive Divergence Analysis: By considering multiple indicators, the script provides a more robust assessment of potential trend reversals.
* Customization: The many adjustable parameters allow traders to fine-tune the script to their specific trading style and preferences.
* Objective Strength Evaluation: The divergence strength calculation and categorization offer a more objective way to evaluate the significance of divergences.
* Early Warning System: Divergences can often precede significant price movements, making this script a valuable tool for anticipating potential trend changes.
* Volume Confirmation: The inclusion of CMF and VWMACD add volume-based confirmation to the divergence signals, potentially increasing their reliability.
Limitations:
* Lagging Indicators: Most of the indicators used are lagging, meaning they are based on past price data. Divergences may sometimes occur after a significant price move has already begun.
* False Signals: No indicator is perfect, and divergences can sometimes produce false signals, especially in choppy or ranging markets.
* Subjectivity: While the script aims for objectivity, some settings (like weightings and extreme values) still involve a degree of subjective judgment.
Improved Indicators Table with AlertsThe provided Pine Script code appears to be a custom technical indicator for trading purposes. It defines several technical indicators like RSI, ADX, MACD, EMA, and ATR, and displays them in a table format along with their corresponding trend or market condition. Additionally, it plots various EMAs on the chart and generates alerts for EMA crossovers.
Here's a breakdown of the script functionalities:
Inputs:
Defines various input parameters for customizing the indicators (lengths, smoothing periods, etc.)
Options to control breakouts, volume thresholds, and pivot points for support and resistance levels.
Calculations:
Calculates various technical indicators based on user-defined parameters.
Analyzes price movements and volume to determine market conditions (trending or consolidating).
Identifies potential breakouts based on price crossing support/resistance levels and volume.
Outputs:
Displays a table with indicator values, trend direction, and market condition with color-coded backgrounds for better visualization.
Plots short, long, fast, and slow EMAs on the chart.
Generates alerts for bullish/bearish crossovers between fast and slow EMAs.
Plots shapes and labels to indicate potential breakouts and wick formations.
Triggers alerts for support and resistance breakouts with sufficient volume.
Overall, this script aims to provide traders with a comprehensive view of various technical analysis indicators and potential trading signals based on price, volume, and momentum.
Disclaimer: I am unable to provide financial advice. This script is for educational purposes only, and its trading signals should not be considered financial recommendations.
Big Money by ChartedhighsBig Money by Chartedhighs
Script Overview:
The "Big Money" indicator is designed to help traders easily identify significant price movements on their charts. This script visually highlights candles where the price change from open to close exceeds a user-defined threshold. It draws attention to these key moments, providing a clear indication of potential big-money moves in the market.
Key Features:
Customizable Threshold:
Allows users to set a specific price change threshold via the input menu (Highlight Threshold).
Only candles with a price change greater than or equal to this value are highlighted.
Candle Highlighting:
Uses color-coded bars to emphasize candles meeting the threshold condition.
Candles are highlighted in yellow for immediate visual clarity.
Dynamic Box Annotation:
Draws a semi-transparent yellow box around highlighted candles.
Extends the box dynamically to subsequent bars, providing an area of interest for continued analysis.
Labeling for Key Moments:
Automatically adds a label ("BigMoney") above highlighted bars to further indicate significant price action.
How It Works:
The script calculates the price change for each bar (close - open) and compares it to the user-defined threshold.
If the price change meets or exceeds the threshold:
The bar color changes to yellow.
A box is drawn around the candle to highlight the price movement visually.
A label is added above the candle to emphasize its significance.
The box extends dynamically until the next highlighted candle, allowing users to track zones of activity.
Customization Options:
Highlight Threshold: Modify the threshold value to suit your trading style or instrument volatility.
Use Case:
This indicator is ideal for traders looking to identify significant price movements quickly. It helps to locate areas where "big money" might be flowing into the market, offering potential entry or exit opportunities.
How to Use:
Add the "Big Money by Chartedhighs" script to your TradingView chart.
Set the Highlight Threshold to a value suitable for your market or timeframe.
Observe highlighted candles and boxes for potential trading signals or areas of interest.
This script is highly visual, intuitive, and customizable, making it a great addition to any trader's toolkit!
Price Volume TrendlineThe Price Volume Trendline indicator calculates and displays a linear regression trendline based on the product of volume and price (e.g., Volume * Close, Volume * Open, etc.) for a specified timeframe. The indicator helps visualize the relationship between price and volume movements over time.
Note - Please choose a timeframe to display the trendline.
Key Features:
Linear Regression: The trendline is computed using a linear regression of Volume * Price values over a user-defined length (length_trend), providing a smoothed representation of the trend.
Color Coding: The trendline color changes dynamically:
Green: When the slope of the trendline is positive (indicating an uptrend in Volume * Price).
Red: When the slope of the trendline is negative (indicating a downtrend in Volume * Price).
Customizable Timeframe: Users can choose the timeframe for the Volume * Price calculation (either "auto" for the chart's timeframe or a custom timeframe).
This indicator is useful for identifying long-term trends in the relationship between price and volume, highlighting bullish or bearish conditions based on both price and volume dynamics.
Please feel free to share your feedback. That would be appreciated!
RSI + Divergence Detection StrategyPurpose:
This script aims to identify market conditions where divergences between price action and standard deviation occur, coupled with RSI thresholds (overbought and oversold levels), to signal potential trade opportunities.
Core Features:
Combines RSI and standard deviation for divergence detection.
Uses visual plots and shaded areas to represent different market conditions.
Automates trade entries and exits based on the defined criteria.
Key Components
Strategy Parameters
lookback: Period for calculating the standard deviation of returns.
rsi_period: Lookback period for calculating the RSI.
ob (Overbought) and os (Oversold): RSI thresholds to identify overbought and oversold conditions.
Calculation of Returns and Std Dev
Returns: Logarithmic returns are computed to measure the change in price.
returns = math.log(close / close )
Standard Deviation: Calculated over the lookback period to detect volatility.
std_dev = ta.stdev(returns, lookback)
Relative Strength Index
The RSI is computed and serves as the primary oscillator to evaluate momentum:
rsi = ta.rsi(close, rsi_period)
Divergence Detection
Price Action:
higher_high_price: Indicates higher highs in price.
lower_low_price: Indicates lower lows in price.
Std Dev Action:
higher_high_std_dev: Indicates higher highs in standard deviation.
lower_low_std_dev: Indicates lower lows in standard deviation.
Bullish and Bearish Divergence:
Bullish: Price makes lower lows, but the standard deviation does not confirm.
Bearish: Price makes higher highs, but the standard deviation does not confirm.
RSI Visual Elements
Plots horizontal lines for overbought, oversold, and boundaries.
Uses gradient coloring to enhance RSI zones (e.g., overbought and oversold thresholds).
Market phases (bullish or bearish divergence) are highlighted using filled zones.
Trade Logic
Entry Conditions
Long Entry: Triggered when a bullish divergence is detected, and RSI is below the oversold threshold.
long = bullish_divergence and rsi < os
Short Entry: Triggered when a bearish divergence is detected, and RSI is above the overbought threshold.
short = bearish_divergence and rsi > ob
Trade Execution
Long trades are opened using:
strategy.entry("Long", strategy.long)
Long trades are closed when a short condition is met:
strategy.close("Long", "Close Long")
Visual Representation
RSI Line: A central plot showing RSI with thresholds for overbought and oversold levels.
Horizontal Lines: Clearly mark 0 (bottom), 50 (center), and 100 (top) RSI levels.
Shaded Areas:
Aqua zones represent oversold conditions.
Fuchsia zones represent overbought conditions.
Neutral gray zones indicate no divergence.
This should help you better understand how the strategy identifies and visualizes trade opportunities!
Disclaimer: This is not a financial advisor; please consult your financial advisor for personalized advice.
Trend Strength/DirectionThis is a really good, though complex indicator, so I will add two different explanations so to appease both the laymen and those who take the time to read thoroughly.
Simple Explanation
This indicator utilizes 6HMA's to display their angles
The greater the angle ---> the stronger the trend
If more angles are positive, then trend is very strong
If more are negative, then very negative
Comprehensive Explanation
6 angles, each of a different time frame are used to represent direction and trend strength. Angles are used because they intrinsically represent momentum and speed. An angle of 45 represents a perfect balance between something that can cover the furthest distance without compensating for speed. 1 of the 6 angles is intended(though customizable) to represent the 5 hma's angle. This is because the 5hma is very good at representing very near term price action.
Angle Levels
Its important to understand what the angle levels mean for the underlying hma's. The 0 level represents a hma that is horizontal. This is important because this is the point at which it decides to be bullish or bearish. +/- 45, as noted before, represent bullishness/bearishness that represent strong trends without compensating for speed. A continuous increase/decrease and or a cross of these levels generally indicate significant change in sentiment, of which trades may be taken.
Strategy
You should weigh your decision by those angles that represent the longer time frame. If more angles represent a certain sentiment, it is obviously unwise to fight against that long term sentiment. The purpose of this indicator was to provide a proper representation of trend direction and strength, but also solve the problem of when you should 'dip' buy.
For an example: if all angles are increase or decreasing, then you may use the 5hma's angle to find the proper points at which you will enter a position.
***NOTE: I dont think the +/- 45 bands should indicate 'overbought' or 'oversold' zones that some might assume. Instead you should wait for a crossing of this zone.
Katalyst's Opening Range BreakoutKatalyst's Opening Range Breakout + No Trade Zone
📜 Overview:
This indicator allows traders to visualize the high and low of the opening range for a user-selected timeframe (e.g., 30s, 1m, 5m, 15m). It features fully customizable lines, labels, and an optional **No Trade Zone** fill to help you identify breakout levels with ease.
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🎯 Key Features:
1. **Customizable Opening Range**:
- Select your preferred opening range duration: **30 seconds, 1 minute, 2 minutes, 5 minutes, 10 minutes, or 15 minutes**.
- The indicator calculates and plots the **high** and **low** of the selected opening range.
2. **Dynamic Line Styling**:
- Choose the **line color**, **transparency**, and **style**: **Solid, Dashed, or Dotted**.
- Lines extend to the right of the chart for clarity.
3. **No Trade Zone** *(Optional / Disabled by default)*:
- When enabled, fills the area between the high and low lines with a customizable **color and transparency**.
- Helps visually identify consolidation areas where trading might be avoided.
4. **Labels for Precision**:
- Clearly displays the **Opening Range High** and **Low** values.
- Labels are color-coded and positioned dynamically for easy interpretation.
5. **Clean and Efficient Updates**:
- The indicator deletes old lines, labels, and fills before creating new ones, ensuring a clutter-free chart.
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⚙️ How to Use:
1. **Select Your Timeframe**:
- From the settings, choose your desired opening range duration: 30s, 1m, 2m, 5m, 10m, or 15m.
2. **Customize the Visuals**:
- Adjust line color, style, and transparency.
- Enable the **No Trade Zone** for a transparent background fill between the high and low lines.
3. **Interpret the Breakout**:
- Watch for price movements above or below the **opening range** to identify potential breakout opportunities.
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🛠 Settings:
Opening Range Duration: Select the timeframe for the opening range (30s, 1m, 2m, 5m, 10m, 15m).
Line Color: Set the color of the range lines.
Line Transparency: Adjust the transparency of the lines (0 = solid, 100 = invisible).
Line Style: Choose line style: Solid, Dashed, or Dotted.
Label Colors: Customize the label colors for the high and low values.
Enable No Trade Zone: Fill the area between high and low lines with a transparent color.
No Trade Zone Color: Set the fill color for the no trade zone.
No Trade Zone Transparency: Adjust the transparency of the no trade zone fill.
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📈 Ideal For
Day traders and scalpers looking to trade **breakouts**.
Traders who want to identify areas of consolidation visually.
Anyone who relies on the **opening range** for their trading strategy.
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🔍 Example Usage:
Set the opening range to **5 minutes** and enable the **No Trade Zone** with a light red fill.
Watch for price to break above or below the high/low lines to signal potential trade opportunities.
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✨ Why Use This Indicator?
This script simplifies your breakout strategy by providing a clear, visually appealing representation of the opening range. The flexible customization options and the optional **No Trade Zone** make it a powerful tool for identifying high-probability trades.
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Let me know if you need any additional tweaks or clarifications for this description. It's all set to help traders understand and use your powerful script! 🚀📈