Intraday Golden duckKey Components
Plotting DTR Levels
DTR High 1 & Low 1 are plotted with a bold green and red line (Major Levels).
DTR High 2 & Low 2 are plotted with a lighter green and red line (Minor Levels).
This visualizes potential breakout and stop-loss zones.
Defining Market Hours
The strategy runs only between:
Start Time: 9:15 AM (Market Open)
End Time: 3:00 PM (Market Close)
Trades can only occur during this period.
Avoiding Multiple Trades Per Day
A boolean variable trade_taken_today ensures that:
Only one trade is executed per day (either Buy or Sell).
It resets at the beginning of a new trading day.
Entry Conditions
A long position (Buy) is entered when:
The market is open.
The close price breaks above dtr_high_1.
No other trade has been executed yet.
A short position (Sell) is entered when:
The market is open.
The close price drops below dtr_low_1.
No other trade has been executed yet.
Stop-Loss Conditions
To protect against large losses, stop-loss levels are placed at DTR 2 levels:
For Long Trades: If price falls below dtr_high_2, the trade exits.
For Short Trades: If price rises above dtr_low_2, the trade exits.
Using Parabolic SAR for Additional Exit Signals
The Parabolic SAR (PSAR) is used to trail stop-loss:
Long Exit: If price falls below PSAR, the position is closed.
Short Exit: If price rises above PSAR, the position is closed.
Universal Exit Condition (3:00 PM)
At exactly 3:00 PM, all positions are forcefully closed, ensuring no overnight risk.
Execution Logic
If Buy Condition is met → Enter Long position.
If Sell Condition is met → Enter Short position.
If Stop-Loss or PSAR condition triggers → Exit the trade.
At 3:00 PM, close all positions.
Key Features & Benefits
✅ Intraday Only: No overnight risk.
✅ One Trade per Day: Avoids overtrading.
✅ Dynamic Levels: Adapts to market volatility.
✅ PSAR Protection: Helps reduce drawdowns.
✅ Universal Exit: Ensures systematic closing.
This strategy is designed for traders looking for a systematic, rule-based approach to intraday trading using price action and volatility expansion principles. 🚀
Bande e canali
4Hour Zone SeparatorThis custom TradingView indicator draws vertical lines on your chart to visually separate the 4-hour trading zones within a single trading day. The indicator helps traders identify key time intervals throughout the day for better market analysis and decision-making.
Features:
• Time-Based Zones: The indicator divides the day into six distinct 4-hour periods, starting from midnight (00:00) and continuing every 4 hours. Each zone is marked by a vertical line on the chart.
• User Customization: You can toggle the visibility of the lines for each 4-hour period (00:00, 04:00, 08:00, 12:00, 16:00, 20:00) based on your preference. This allows you to focus on specific zones that matter most for your analysis.
• Line Styling Options: Choose from three different line styles — Solid, Dashed, or Dotted — and adjust the thickness to your desired preference.
• Dynamic Time Adjustment: The indicator automatically adjusts for the time zone, ensuring that the 00:00 timestamp reflects the correct start of the day based on your chart’s time zone.
How It Works:
1. The indicator starts by calculating the beginning of the day at 00:00, then it sequentially places vertical lines every 4 hours.
2. Each line is color-coded for easy identification, and the lines stretch from the highest to the lowest point on the chart for that range.
3. The lines are drawn only when the chart enters a new 4-hour zone.
This tool is especially useful for day traders who want to track price action during specific times of the day and make informed decisions based on market behavior within each 4-hour period.
Advanced Multi-Timeframe Trading System (Risk Managed)Description:
This strategy is an original approach that combines two main analytical components to identify potential trade opportunities while simulating realistic trading conditions:
1. Market Trend Analysis via an Approximate Hurst Exponent
• What It Does:
The strategy computes a rough measure of market trending using an approximate Hurst exponent. A value above 0.5 suggests persistent, trending behavior, while a value below 0.5 indicates a tendency toward mean-reversion.
• How It’s Used:
The Hurst exponent is calculated on both the chart’s current timeframe and a higher timeframe (default: Daily) to capture both local and broader market dynamics.
2. Fibonacci Retracement Levels
• What It Does:
Using daily high and low data from a selected timeframe (default: Daily), the script computes key Fibonacci retracement levels.
• How It’s Used:
• The 61.8% level (Golden Ratio) serves as a key threshold:
• A long entry is signaled when the price crosses above this level if the daily Hurst exponent confirms a trending market.
• The 38.2% level is used to identify short-entry opportunities when the price crosses below it and the daily Hurst indicates non-trending conditions.
Signal Logic:
• Long Entry:
When the price crosses above the 61.8% Fibonacci level (Golden Ratio) and the daily Hurst exponent is greater than 0.5, suggesting a trending market.
• Short Entry:
When the price crosses below the 38.2% Fibonacci level and the daily Hurst exponent is less than 0.5, indicating a less trending or potentially reversing market.
Risk Management & Trade Execution:
• Stop-Loss:
Each trade is risk-managed with a stop-loss set at 2% below (for longs) or above (for shorts) the entry price. This ensures that no single trade risks more than a small, sustainable portion of the account.
• Take Profit:
A take profit order targets a risk-reward ratio of 1:2 (i.e., the target profit is twice the amount risked).
• Position Sizing:
Trades are executed with a fixed position size equal to 10% of account equity.
• Trade Frequency Limits:
• Daily Limit: A maximum of 5 trades per day
• Overall Limit: No more than 510 trades during the backtesting period (e.g., since 2019)
These limits are imposed to simulate realistic trading frequency and to avoid overtrading in backtest results.
Backtesting Parameters:
• Initial Capital: $10,000
• Commission: 0.1% per trade
• Slippage: 1 tick per bar
These settings aim to reflect the conditions faced by the average trader and help ensure that the backtesting results are realistic and not misleading.
Chart Overlays & Visual Aids:
• Fibonacci Levels:
The key Fibonacci retracement levels are plotted on the chart, and the zone between the 61.8% and 38.2% levels is highlighted to show a key retracement area.
• Market Trend Background:
The chart background is tinted green when the daily Hurst exponent indicates a trending market (value > 0.5) and red otherwise.
• Information Table:
An on-chart table displays key parameters such as the current Hurst exponent, daily Hurst value, the number of trades executed today, and the global trade count.
Disclaimer:
Past performance is not indicative of future results. This strategy is experimental and provided solely for educational purposes. It is essential that you backtest and paper trade using your own settings before considering any live deployment. The Hurst exponent calculation is an approximation and should be interpreted as a rough gauge of market behavior. Adjust the parameters and risk management settings according to your personal risk tolerance and market conditions.
Additional Notes:
• Originality & Usefulness:
This script is an original mashup that combines trend analysis with Fibonacci retracement methods. The description above explains how these components work together to provide trading signals.
• Realistic Results:
The strategy uses realistic account sizes, commission rates, slippage, and risk management rules to generate backtesting results that are representative of real-world trading.
• Educational Purpose:
This script is intended to support the TradingView community by offering insights into combining multiple analysis techniques in one strategy. It is not a “get-rich-quick” system but rather an educational tool to help traders understand risk management and trade signal logic.
By using this script, you acknowledge that trading involves risk and that you are responsible for testing and adjusting the strategy to fit your own trading environment. This publication is fully open source, and any modifications should include proper attribution if significant portions of the code are reused.
Median Deviation Bands | QuantumResearchIntroducing QuantumResearch’s Median Deviation Bands Indicator
The Median Deviation Bands indicator is an advanced volatility-based tool designed to help traders identify price trends, market reversals, and potential trading opportunities.
By using a percentile-based median baseline combined with standard deviation bands, this indicator provides a dynamic framework for analyzing price movements and assessing market volatility.
How It Works
Baseline Calculation:
The median price over a user-defined period (default: 50) is calculated using the 50th percentile of price data.
This serves as the central reference point for trend analysis.
Trend Identification:
Bullish Trend: Occurs when the price crosses above the baseline.
Bearish Trend: Occurs when the price crosses below the baseline.
Deviation Bands:
The indicator plots three sets of upper and lower bands, representing 1x, 2x, and 3x standard deviations from the median.
These bands act as dynamic support and resistance zones, helping traders identify overbought and oversold conditions.
Visual Representation
The Median Deviation Bands indicator offers a clear, customizable visual layout:
Color-Coded Baseline:
Green (Bullish): Price is above the median.
Red (Bearish): Price is below the median.
Deviation Bands:
First Band (Light Fill): Represents 1 standard deviation from the baseline.
Second Band (Medium Fill): Represents 2 standard deviations, highlighting stronger trends.
Third Band (Dark Fill): Represents 3 standard deviations, showing extreme price conditions.
Trend Markers:
Green Up Arrows: Indicate the start of a bullish trend when price crosses above the baseline.
Red Down Arrows: Indicate the start of a bearish trend when price crosses below the baseline.
Customization & Parameters
The Median Deviation Bands indicator includes multiple user-configurable settings to adapt to different trading strategies:
Baseline Length: Default set to 50, determines the lookback period for median calculation.
Source Price: Selectable input price for calculations (default: close).
Band Visibility: Traders can toggle individual deviation bands on or off to match their preferences.
Trend Markers: Option to enable or disable up/down trend arrows.
Color Modes: Choose from eight color schemes to customize the indicator’s appearance.
Trading Applications
This indicator is highly versatile and can be applied to multiple trading strategies, including:
Volatility-Based Trading: Price movement within and outside the bands helps traders gauge volatility and market conditions.
Trend Following: The baseline and deviation bands help confirm ongoing trends.
Mean Reversion Strategies: Traders can look for price reactions at extreme bands (±3 standard deviations).
Final Note
QuantumResearch’s Median Deviation Bands indicator provides a unique approach to market analysis by integrating percentile-based median price levels with standard deviation-based volatility bands.
This combination helps traders understand price behavior in relation to historical volatility, making it a valuable tool for both trend-following and mean-reversion strategies.
As always, backtesting and customization are recommended to optimize performance across different market conditions.
Bollinger Bands Long Strategy
This strategy is designed for identifying and executing long trades based on Bollinger Bands and RSI. It aims to capitalize on potential oversold conditions and subsequent price recovery.
Key Features:
- Bollinger Bands (10,2): The strategy uses Bollinger Bands with a 10-period moving average and a multiplier of 2 to define price volatility.
- RSI Filter: A trade is only triggered when the RSI (14-period) is below 30, ensuring entry during oversold conditions.
- Entry Condition: A long trade is entered immediately when the price crosses below the lower Bollinger Band and the RSI is under 30.
- Exit Condition: The position is exited when the price reaches or crosses above the Bollinger Band basis (20-period moving average).
Best Used For:
- Identifying oversold conditions with a strong potential for a rebound.
- Markets or assets with clear oscillations and volatility e.g., BTC.
**Disclaimer:** This strategy is for educational purposes and should be used with caution. Backtesting and risk management are essential before live trading.
N day Anchored Rolling VWAP
⭐ Overview
The N-Day Anchored Rolling VWAP is designed to automate and simplify the use of anchored VWAP for traders, making it an invaluable tool for those who rely on VWAP for trend filtering, support/resistance identification, or strategy implementation. This indicator removes the tedious and repetitive manual process of setting the anchored VWAP for multiple charts or stocks in a watchlist. Once added, the indicator dynamically maintains and updates the anchor point across charts, allowing users to focus on their analysis instead of time-consuming adjustments.
________________________________________
⭐ Goal of the Indicator
The primary goal of this indicator is to automate the manual process of anchoring the VWAP for multiple charts or stocks. By removing the need to manually set the anchor every day, this script simplifies the workflow and saves valuable time for traders.
The examples and chart illustrations provided showcases some of the most common and widely used ways traders utilize anchored VWAP in their strategies. They are intended as demonstrations, not exhaustive applications, as specific use cases may vary based on individual trading approaches.
________________________________________
⭐ Why the Name?
1).N-Day Anchored:
The term "N-Day Anchored" reflects the flexibility of the anchor point. Users can specify the number of days prior to the present day where the VWAP calculation should begin. For
example:
🟢"0" anchors the VWAP to the current day's opening.
🟢"1" anchor it to the previous day's opening.
🟢"2" anchors it to the day before yesterday, and so on.
2).Rolling:
The "Rolling" aspect signifies that the anchor point remains consistent relative to the current day. For instance:
If the anchor is set to the day before yesterday, the indicator will continuously adjust to
ensure the anchor remains two days prior, even as new trading days begin. This means the
lines plotted always reflect the VWAP anchored to the chosen
relative day, regardless of how many days have passed.
________________________________________
⭐ Inputs, Settings, and Functionality
1). Anchor Point (Days Prior): Use the "Days prior" input to set the anchor point for VWAP:
🟢"0": Anchors the VWAP to the start of the current day's trading session.
🟢"1": (default): Anchors the VWAP to the start of the previous day's trading session.
🟢"2": Anchors the VWAP to the day before yesterday, and so on.
This input determines the starting point for the VWAP calculation and updates dynamically each day.
2). VWAP Line Customization: The orange dashed line represents the anchored VWAP.
You can adjust its color through the input’s menu.
3). Standard Deviation Bands:
⭕ Three Bands: The indicator plots three upper and three lower bands to represent standard deviation levels from the VWAP.
➡️ On the current day, these bands are plotted as thick, solid lines with bright colors, providing clear real-time plotting.
➡️ On historical days, the bands appear as faint, dotted lines, offering a visual
representation of the anchored VWAP without cluttering the chart.
⭕ Customizable Settings:
➡️Multiplier: Set the distance of each band from the VWAP.
➡️Colors: Choose separate colors for the upper and lower bands.
➡️Visibility Toggle: Enable or disable specific bands as needed.
This clear differentiation ensures traders can easily distinguish between real-time plotting (current day) and the visualization of historical anchoring.
________________________________________
⭐ Example Use Cases
1). Trend Filter: Use the anchored VWAP as a trend filter:
➡️When the price is above the anchored VWAP, the trend is bullish.
➡️When the price is below the anchored VWAP, the trend is bearish.
2). 2-Day Anchored VWAP Strategy: This strategy uses the VWAP anchored to the
previous day’s opening candle, continuing through today’s price action. Traders can
identify entry and exit points based on how the price interacts with this 2-day anchored VWAP.
3). Standard Deviation Bands as Support or Resistance: Utilize the standard deviation
bands to find potential support and resistance levels, as prices often react near these
bands.
4). VWAP Rejection (VWAP Bounce): Look for rejections near the anchored VWAP to
confirm a continuation of the current trend. For example, if the price rejects the 2-day
anchored VWAP, it can signal a strong continuation in the current trend direction.
Midgar's DikFat Dynamic Support and ResistanceMidgar Heiken-Ashi Commission Indicator
This indicator is a leading indicator designed to identify key price levels and potential support/resistance zones using Heiken-Ashi calculations. It provides visual aids such as dynamic support/resistance lines, price labels, and percentage distance tags to help traders interpret market structure more effectively.
How It Works:
1. Heiken-Ashi Calculation
- The indicator constructs Heiken-Ashi values based on standard formulas.
- The open price is smoothed using prior Heiken-Ashi values to maintain continuity.
2. Dynamic Support & Resistance (S/R) Detection
- Identifies "sandwich" Heiken-Ashi candles (specific bullish or bearish patterns).
- Plots dynamic support and resistance levels based on these key candles.
- Two sets of support/resistance lines are available:
- Primary Dynamic S/R (based on strong HA reversals).
- Companion Indicator Dynamic S/R (a secondary validation layer).
3. Customizable Visualization
- Infinite or right-extended support/resistance lines.
- Price labels at key levels (optional).
- Custom background color highlighting for detected S/R areas.
- Adjustable transparency settings for improved chart clarity.
4. Percentage Distance Calculation
- Calculates the percentage difference between detected support and resistance levels.
- Optionally displays distance tags for quick reference.
Important Notes:
- This is a leading indicator. It aims to highlight potential future support and resistance areas rather than reacting to past movements.
- Recommended for use on a candlestick chart. Using it on a other chart types may produce unintended results.
- No single indicator should be relied upon for trading decisions. Always use multiple forms of analysis and risk management strategies.
- Trading results are never guaranteed. Past performance does not predict future results, and all trading involves risk.
This indicator provides a structured view of market behavior using Heiken-Ashi principles, helping traders visualize potential support and resistance zones more effectively.
Advanced 1-Minute Open Range Breakout IndicatorThis indicator is designed for the market on a 1-minute chart. It calculates the open range based on the first 5 minutes after the market open (09:30 – 09:35) and plots the high and low of this period as the daily resistance and support levels respectively. Additionally, the indicator displays the previous day’s high and low as blue horizontal lines, providing extra reference levels.
Trade signals are generated only during the active trading session (09:35 – 16:00). The advanced trade logic works as follows:
• For long entries:
- When the price first breaks above the open range high, the indicator enters a “breakout” state.
- If the price then retraces to (or below) the open range high, it moves to a “retest” state.
- Finally, if the price breaks above the open range high again, a long signal is issued.
• For short entries:
- When the price first breaks below the open range low, the indicator enters a “breakdown” state.
- If the price then retraces to (or above) the open range low, it moves to a “retest” state.
- Finally, if the price breaks below the open range low again, a short signal is issued.
All signals and the open range lines are only displayed during the trading session (09:35 to 16:00).
Use this indicator to help identify high-probability breakout setups in the early part of the trading day.
[Excalibur] Advanced Polynomial Regression Trend ChannelIt's been a long time coming... Regression channel enthusiasts, it's 'ultimately' here! Welcome to my Apophis page. But first, let me explain the origins of its attributed name blending both descriptive & engaging content with concise & technical topics...
EGYPTIAN ROOTED TALES:
Apophis (Greek) or Apep (Egyptian) was known by many cultures to be a mighty Egyptian archetype of chaos, darkness, and destruction. In ancient Egyptian mythology, Apophis was often depicted in the form of a fearsome menacing serpent, in those days, with an insatiable appetite for relentless malevolence. This dreaded entity was considered a formidable enemy and was also believed to appear as a giant serpent arising from the underworld.
Forever engaging in eternal battle, according to lore, Apophis' adversarial attributes represented the forces of disorder and anarchy clashing with the forces of order and harmony. This serpent's wickedly described figure was significantly symbolic of the disruptive, treacherous powers that Apophis embodied, those which threatened to plunge the perceivable archaic world into darkness. To the ancients, the legendary cyclical struggles against Apophis served as allegory reflecting on the macrocosm of the larger conflict between good and evil disparities that shaped early ancient civilization, much like the tree serpent.
One of Apophis’ mythological roots was immortally depicted on tomb stone. On one particular hieroglyphic wall tableau, in the second chamber of Inherkau’s tomb at Deir el-Medina, within the Theban Necropolis, portrays a mural of a serpent (Apep) under an edible fruit tree being slain in defeat. The species of snake depicted on various locations of tomb walls appears to me to bear a striking resemblance to the big eyed Echis pyramidum (Egyptian saw-scaled viper) native to regions of North Africa and the Middle East. It's a species of viper notoriously contributing to the most snake bite fatalities in the world still to this day; talk about a true harbinger of chaos incarnate. You do NOT want to cross paths with this asp in the dark of night, ever! Nor the other species of Echis found around Echid trees in the garden.
As we all know, fabled archaic storytelling can be misconstruing. Yet, these archaic serpent narratives still have echoes of significant notions and wisdom to learn from, especially in a modern technological society still rife with miscalculating deep snakes slithering about with intent to specifically plot disorder on national scales, and then profitably capitalize on it. Many deep black snakes are hiding in plain sight and under rocks. They do indeed speak and spell with forked tongues and malfeasance to the masses. I have great news. Tools now exist in the realms of AI combined with fractal programming circles to uncover these venomous viper mesh networks and investigatively monitor their subversive activities, so their days are surely numbered for... GAME OVER. Prepare to meet the doom you vain vipers have sought!
The arrival of the great and powerful international storm of the century has come, clothed in vindication. It's the only just way for the globe to clean house and move forward economically into the evolving herafter unobstructed by rampant evils and corruption. The foundations of future architectures are being established, and these nefarious obstacles MUST NOT hinder that path ahead.
With my former days of serpent wrangling being behind me, I now explore avenues of history, philosophy, programming, and mathematics, weaving them all into my daily routine. Now is the time to make some mathematical history unfold and get to the good and spicy stuff that you as the reader seek...
CALCULATING ON CHAOS:
Perhaps frightful characteristics of serpents (their maneuverability to adapt to any swervy situation) could be harnessed and channeled into a powerful tool for navigating the treacherous waters of data chaos. What if taming a monstrous beast of mayhem was not only possible, but fully achievable? Well, I think I have improved upon an approach to better tackle fractal chaos handling and observation within a modest PSv6 float environment without doubles. Finally, I've successfully turned my pet anaconda, Apophis, into a docile form of mathematical charting resilience beyond anything I have ever visually witnessed before. This novel work clearly deprecates ALL of my prior regression works by performing everything those delivered AND more, but it doesn't necessarily eliminate them into extinction.
INTRODUCTION:
Allow me to introduce Apophis! What you see showcased above is also referred to as 'Advanced Polynomial Regression Trend Channel' (APRTC) for technical minds. I would describe it as an avant-garde trend channel obtaining accurate polynomial approximations on market data with Pine v6.0. APRTC is a fractal following demystifier that I can only describe as being a signal trajectory tracking stalker manifesting as a data devouring demon. My full-fledged 'Excalibur' version of poly-regression swiftly captures undulating patterns present in market data with ease and at warp speed faster than you can blink. Now unchained, this is my rendering of polynomial wrath employing the "Immense Power of Pine".
By pushing techniques of regression to extremes, I am able to trace the serpentine trajectory of chaos up to a 50th order with 100s or 1000s of samples via "advanced polynomial regression" (APR), aka Apophis. This uniquely reactive trend channel method is designed to enhance the way we engage with the complex challenge of observably interpreting chaotic price behavior. While this is the end of the road for my revolutionary trend channel technology, that doesn't imply that future polynomial regression upgrades won't/might occur... There are a number of other supplementary concepts I have in my mind that could potentially prove useful eventually, who knows. However, for the moment, I feel it's wisest to monitor how accommodating APRTC is towards servers for the present time.
HISTORICAL ENDEAVORS:
Having wrangled countless wild serpents in my youth by the handfuls, tackling this was one multi-headed regression challenge temptation I couldn't resist. Besides, serpents in reality are more than often scared of us in the wild, so I assumed this shouldn't be too terribly hard. Wrong! It's been a complex struggle indeed. APRTC gave me many stinging bites for a LONG time. I had unknowingly opened Pandora's box of polynomials unprepared for what was to follow.
Long have I wrestled with Apophis throughout many nights for years with adversity, at last having arrived at a current grand solution and ultimately emerging victorious. Now, does the significance of the entitled name Apophis become more apparent at this point of reading? What you can now witness above is a very powerful blend of precision combined with maneuverability, concluding my dreamy expectations of a maximal experience with polynomial regression in TV charts. With all of my wizardry components finally assembled, Apophis genuinely is the most phenomenal indicator I ever devised in my life... as of yet.
How was this accomplished? By unlocking a deep understanding of the mathematical principles that govern regression, combined with an arsenal of mathemagical trickeries through sheer determination. I also spent an incredible amount of time flexing the unbendable 64bit float numerics to obtain a feasible order/degree of up to 50 polynomials or up to 4000 bars of regression (never simultaneously) on a labyrinth of samples. Lastly, what was needed was a pinch of mathematical pixie dust with a pleasant dose of Pine upgrades (lots of line re-drawings) that millions of other members can also utilize. Thank you so much, Pine developers, for once again turning meager proposed visions into materialized reality by leveraging the "Power of Pine" for the many!
DESCRIBING POLYNOMIAL REGRESSION:
APRTC is a visual guide for navigating noisy markets, providing both trajectory and structure through the power of mathematical modeling. Polynomial regression, especially at higher orders, exhibits obvious sidewinder/serpentine like characteristics. Even the channel extremities, on swift one second charts, resemble scales in motion with a pair of dashed exterior lines. This poly version presently yields the best quality of fit, providing an extreme "visual analysis" of your price action in high noise environments. The greater the order of the polynomial, the more pronounced the meandering regression characteristics become, as the algorithm strives to visually capture the fundamental fractal patterns most effectively.
Polynomial Regression in Action:
The medial line displays the core polynomial regression approximation in similarity to spinal backbones of serpents when following the movements of market data. Encasing the central structure, the channel's skin consists of enveloping lines having upper and lower extremes. To further enhance visualization, background fill colors distinguish the breadth between positive and negative territories of potential movement.
Additional internal dotted variability lines are available with multiple customizable settings to adjust dynamic dispersion, color, etc. One other exciting feature I added is the the ability to see the polynomial values with up to 50 (adjustable) decimal places if available. Witnessing Xⁿ values tapering near to 0.0 may indicate overfitting. Linear regression is available at order=1 and quadratic regression is invoked using order=2.
Information Criterion:
A toggleable label provides a multitude of information such as Bayesian Information Criterion (BIC), order, period, etc. BIC serves as an polynomial regression fit metric, with lesser values indicating a better balance between polynomial order adjustments, reflecting a more accurate fit in relation to the channel's girth. One downside of BIC values is their often large numerical values, making visual comparisons challenging, and then also their rare occurrence as negative values.
Furthermore, I formulated my own "EXPERIMENTAL" Simpler Information Criterion (SIC) fit metric, which seems to offer better visual interpretability when adjusting order settings on a selected regression period, especially on minuscule price numerics. Positive valued SIC numerics with lesser digits also reflect a preferred better fit during order adjustment, same as applying BIC principles of the minimum having a superior calulation tendency. I'll let members be the judge of deciding whether my SIC is actually a superior information criterion compared to BIC.
TECHNICAL INTERPRETATION and APPLICATION:
The Apophis indicator utilizes high-order polynomial regression, up to a maximum 50th order ability to deliver a nuanced, visual representation of complex market dynamics. I would caution against using upwards toward a 50th order, because opting for a 50th order polynomial is categorically speaking "wildly unsane" in real-world practice. As the polynomial degree increases from lesser orders, the regression line exhibits more pronounced curvature and undulations.
Visually analyzing the regression curve can provide insights into prevailing trends, as well as volatility regimes. For example, a gently sloping line may signal a steady directional trend, while a tightly curled oscillating curve may indicate heightened volatility and range-bound trading. Settings are rather straight forward, and comparable to my former "Quadratic Regression Trend Channel" efforts, although one torturous feature from QRTC is omitted due too computational complexity concerns.
Notice: Trial invite only access will not be granted for this indicator. Those who are familiar with recognizing what APRTC is, you will either want it or not, to add to your arsenal of trading approaches.
When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members , I may implement more ideas when they present themselves as worthy additions. Have a profitable future everyone!
RISK DISCLAIMER:
My scripts and indicators are specifically intended for informational and educational use only. This script uses historical data points to perform calculations to derive real-time calculations. They do not infer, indicate, or guarantee future results or performance.
By utilizing this script/indicator or any portion of it, you agree to accept 100% responsibly and liability for your investment or financial decisions, and I will not be held liable for your subjective analytic interpretations incurring sustained monetary losses. The opinions and information visual or otherwise provided by this script/indicator is not investment advice, nor does it constitute recommendation.
All-in-One BB Stoch RSI + PSAR + Keltner + ADX + Trailing StopThis invite-only indicator combines multiple advanced tools into a single script, generating buy/short signals alongside comprehensive alerts. Priced at just $25/month, it’s ideal for both manual trading and integration with bots.
Key Features & Alerts
Buy & Short Signals
Quickly identify potential long or short entries.
Three Take-Profit (TP) Lines
Long: After a BUY signal, three lines appear (TP1, TP2, TP3), allowing you to take partial profits—e.g., 30%, 30%, 30%—and keep the remaining 10% to trail.
Short: Similarly, after a SHORT signal, three TP lines help you scale out as price moves in your favor.
Stop-Loss Line (Based on Bollinger Width)
Precisely calculates a stop-loss distance using Bollinger Band width (a percentage below for longs or above for shorts).
Trailing Stop-Loss
Any remaining position can be trailed under (or above) Parabolic SAR, Keltner Channels, and Bollinger, with an extra 0.2% margin for added caution.
ADX + Stoch RSI + RSI (MA)
Filter out weak trends, gauge volatility, and confirm overbought/oversold regions in real time.
Compatible With Trading Bots
Built-in alerts can be connected to bot logic (via webhooks), enabling automated management of entries, TPs, stop-losses, and trailing stops.
Why Use This Indicator?
All-in-One Script: Eliminates chart clutter by merging multiple indicators into one.
Partial Take-Profits: Clearly defined TP1, TP2, TP3 lines help you lock in gains progressively.
Enhanced Risk Control: Stop-loss and trailing stop lines update automatically, keeping your trades protected.
Easy Bot Integration: Perfect for traders wanting direct alerts or automated trading setups.
Invite-Only for Exclusive Access: Maintain a competitive edge with protected source code.
How to Use:
Add to Chart
After access is granted, go to Indicators → Invite-Only Scripts and select this script.
Enable Specialized Alerts
Receive notifications for Buy/Short signals, the three TP lines, Stop-Loss, and Trailing Stop events.
Scale Out or Automate
Manually close partial positions at the TP lines (e.g., 30% each time) and let the remaining 10% trail for bigger moves.
Or link these alerts to a trading bot for fully automated position management.
Price: $25/month
Interested? Contact me (via direct message or email) for more details and to subscribe. Experience clearer charts, timely signals, and robust risk management in one invite-only package!
Sadosi Gap SelecterThis indicator is designed to be used on daily charts. Please note that it will not work with weekly or hourly data.
The Sadosi Gap Selecter is a powerful indicator designed to identify price gaps that occur between specific dates on the chart. It allows users to easily analyze price movements between selected weeks and days, highlighting these periods with visual boxes. This helps traders spot potential trend reversals and key price levels more effectively. It’s particularly valuable for those utilizing gap trading strategies to identify market inefficiencies.
The core functionality of this indicator is based on detecting price differences between two selected days within a defined date range. With the Start Day (day1) and End Day (day2) options, you can choose the exact days of the week you’d like to analyze. For instance, if you want to focus on price movements from Friday to Monday, simply select those days. Additionally, the Start Week (week1) and End Week (week2) settings allow you to narrow down the time frame on a weekly basis, making it easy to analyze price behavior during specific periods of the year.
For visual customization, several options are available. The Color (renk) setting lets you choose between red and yellow for the highlighted boxes. The Transparency (op) control adjusts the background opacity from 0% (fully opaque) to 100% (completely transparent), allowing you to manage how prominently the boxes appear on your chart. Furthermore, the Border (hat) option enables you to add or remove borders around the boxes, helping reduce visual clutter or emphasize certain areas depending on your preference.
Once applied to the chart, the indicator automatically generates boxes for the specified date ranges. The upper and lower bounds of each box are determined based on the price movement within that period, providing insights into the direction and strength of the trend. However, this tool does not generate definitive buy or sell signals on its own. It is recommended to use it alongside other technical analysis tools to make more informed trading decisions.
With the Sadosi Gap Selecter, you can gain clearer insights into price behavior, strengthen your trend analyses using historical data, and fully customize the settings to match your trading style for more effective results.
This indicator is designed to be used on daily charts. Please note that it will not work with weekly or hourly data
Advanced Trend and Volatility Indicator with Alerts by ZaimonThis script presents a comprehensive analytical tool that integrates multiple technical indicators to provide a holistic view of market trends and volatility. By uniquely combining Moving Averages (MA), Relative Strength Index (RSI), Stochastic Oscillator, Bollinger Bands, and Average True Range (ATR), it offers nuanced insights into price movements and helps identify potential trading opportunities.
---
### **Key Features and Integration:**
1. **Moving Averages (MA20 & MA50):**
- **Trend Identification:**
- **Methodology:** Calculates two Simple Moving Averages—MA20 (short-term) and MA50 (long-term).
- **Bullish Trend:** When MA20 crosses above MA50, indicating upward momentum.
- **Bearish Trend:** When MA20 crosses below MA50, signaling downward momentum.
- **Golden Cross & Death Cross Alerts:**
- **Golden Cross:** MA20 crossing above MA50 generates a bullish alert and visual symbol.
- **Death Cross:** MA20 crossing below MA50 triggers a bearish alert and visual symbol.
- **Integration:**
- Serves as the foundational trend indicator, influencing interpretations of other indicators within the script.
2. **Relative Strength Index (RSI):**
- **Momentum Measurement:**
- **Methodology:** Calculates RSI to assess the speed and change of price movements over a 14-period length.
- **Overbought/Oversold Conditions:** Customizable thresholds set at 70 (overbought) and 30 (oversold).
- **Alerts:**
- Generates alerts when RSI crosses above or below the specified thresholds.
- **Integration:**
- Confirms trend strength identified by MAs.
- Overbought/Oversold signals can precede potential trend reversals, especially when aligned with MA crossovers.
3. **Stochastic Oscillator:**
- **Momentum and Reversal Signals:**
- **Methodology:** Uses %K and %D lines to evaluate price momentum relative to high-low range over recent periods.
- **Bullish Signal:** %K crossing above %D in oversold territory (below 20).
- **Bearish Signal:** %K crossing below %D in overbought territory (above 80).
- **Alerts:**
- Provides alerts on bullish and bearish crossovers in extreme regions.
- **Integration:**
- Enhances RSI signals by providing additional momentum confirmation.
- When both RSI and Stochastic indicate overbought/oversold conditions, it strengthens the likelihood of a reversal.
4. **Bollinger Bands:**
- **Volatility Visualization:**
- **Methodology:** Plots upper and lower bands based on standard deviations from a moving average (BB Basis).
- **Dynamic Support/Resistance:** Prices touching or exceeding the bands may indicate potential reversals.
- **Integration:**
- Works with RSI and Stochastic to identify overextended price movements.
- Helps in assessing volatility alongside trend and momentum indicators.
5. **Average True Range (ATR):**
- **Volatility Assessment:**
- **Methodology:** Calculates ATR over a 14-period length to measure market volatility.
- **ATR Bands:** Plots upper and lower bands relative to the current price using an ATR multiplier.
- **Integration:**
- Assists in setting stop-loss and take-profit levels based on current volatility.
- Complements Bollinger Bands for a comprehensive volatility analysis.
6. **Information Table:**
- **Real-Time Data Display:**
- Shows current values of MA20, MA50, RSI, Stochastic %K and %D, BB Basis, ATR, and Trend Status.
- **Trend Status Indicator:**
- Displays "Bullish," "Bearish," or "Sideways" based on MA conditions.
- **Integration:**
- Provides a consolidated view for quick decision-making without analyzing individual indicators separately.
7. **Periodic Labels:**
- **Enhanced Visibility:**
- Adds labels every 50 bars showing RSI and Stochastic values.
- **Integration:**
- Helps track momentum changes over time and spot longer-term patterns.
---
### **How the Components Work Together:**
- **Synergistic Analysis:**
- **Trend Confirmation:** MA crossovers establish the primary trend, while RSI and Stochastic confirm momentum within that trend.
- **Volatility Context:** Bollinger Bands and ATR provide context on market volatility, refining entry and exit points suggested by trend and momentum indicators.
- **Signal Strength:** Concurrent signals from multiple indicators increase confidence in trading decisions.
---
### **Usage Guidelines:**
1. **Trend Analysis:**
- **Identify Trend Direction:**
- Observe MA20 and MA50 crossovers.
- Refer to the Trend Status in the information table.
- **Confirm with Momentum Indicators:**
- Ensure RSI and Stochastic support the identified trend.
2. **Entry and Exit Points:**
- **Overbought/Oversold Conditions:**
- Look for RSI and Stochastic reaching extreme levels.
- Consider entering positions when oversold in a bullish trend or overbought in a bearish trend.
- **Bollinger Band Interactions:**
- Use price interactions with Bollinger Bands to identify potential reversal zones.
3. **Risk Management:**
- **ATR-Based Levels:**
- Set stop-loss and take-profit levels using ATR bands to account for current volatility.
- **Adjusting to Volatility:**
- Modify position sizes and targets based on Bollinger Band width and ATR values.
4. **Alerts Setup:**
- **Customize Alert Thresholds:**
- Configure alerts for MA crossovers, RSI levels, and Stochastic crossovers according to your trading strategy.
- **Stay Informed:**
- Use alerts to monitor key events without constant chart observation.
---
### **Customization:**
- **Flexible Parameters:**
- All indicator lengths, thresholds, and settings are adjustable to suit different trading styles and timeframes.
- **Adjustable Visuals:**
- Modify plot colors, line styles, and label positions to enhance chart readability.
---
### **Originality and Value Addition:**
This script differentiates itself by:
- **Integrated Approach:**
- Seamlessly combining multiple indicators to provide a more comprehensive analysis than using each indicator separately.
- **Enhanced Visualization:**
- Utilizing plots, fills, labels, and an information table to present data intuitively.
- **User-Friendly Features:**
- Pre-configured alerts and real-time data displays reduce the need for manual monitoring.
By explaining how each component interacts and contributes to the overall analysis, the script adds substantial value to traders seeking a multi-faceted tool for market analysis.
---
### **Additional Notes:**
- **Learning Resource:**
- The script is well-commented, serving as an educational tool for those learning Pine Script and technical analysis integration.
- **Further Enhancements:**
- Opportunities exist to incorporate additional indicators like MACD or ADX, and to develop advanced alert logic, such as RSI or Stochastic divergences.
---
### **Disclaimer:**
- **Educational Purpose Only:**
- This script is provided for informational purposes and should not be construed as financial advice.
- **Risk Acknowledgment:**
- Trading involves significant risk; past performance is not indicative of future results.
- **Due Diligence:**
- Users should conduct their own analysis and consider consulting a financial professional before making trading decisions.
---
By providing detailed explanations of the methodologies and the synergistic use of multiple indicators, this script aligns with TradingView's guidelines for originality and usefulness. It offers traders a unique tool that enhances market analysis through the thoughtful integration of technical indicators.
Bollinger Bands + RSI [Uncle Sam Trading]The Bollinger Bands + RSI indicator combines two popular technical analysis tools, Bollinger Bands (BB) and the Relative Strength Index (RSI), into a unified framework designed to assess both market volatility and momentum. This indicator provides both visual signals on the chart, and allows you to set alerts. It is intended to help traders identify potential overbought/oversold conditions, trend reversals, and to refine trade entry and exit points.
Key Features:
Bollinger Bands: The indicator plots Bollinger Bands, which consist of a basis line (typically a 20-period Simple Moving Average), an upper band (basis + 2 standard deviations), and a lower band (basis - 2 standard deviations). The bands dynamically adjust to market volatility, widening during periods of increased volatility and contracting during periods of decreased volatility.
Relative Strength Index (RSI): The RSI, a momentum oscillator, is plotted in a separate pane below the price chart. It measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. Traditional interpretation uses 70 and 30 as overbought and oversold levels, respectively.
Overbought/Oversold Zones Highlighting: This indicator uniquely highlights overbought and oversold zones directly on the price chart based on the RSI values. When the RSI is above the overbought level (default 70), a red-shaded area is displayed. When the RSI is below the oversold level (default 30), a green-shaded area is displayed. These visual cues enhance the identification of potential trend reversals.
Buy and Sell Signals: The indicator generates buy signals when the price crosses above the lower Bollinger Band and the RSI is below the oversold level (if the RSI filter is enabled). Sell signals are generated when the price crosses below the upper Bollinger Band and the RSI is above the overbought level (if the RSI filter is enabled). These signals are plotted as green upward-pointing triangles (buy) and red downward-pointing triangles (sell) on the chart.
Customizable Parameters: Users can adjust various settings, including:
Bollinger Bands Length: The number of periods used to calculate the moving average and standard deviation.
Bollinger Bands Standard Deviation: The multiplier used to determine the distance of the upper and lower bands from the basis.
RSI Length: The number of periods used to calculate the RSI.
RSI Overbought/Oversold Levels: The threshold values that define overbought and oversold conditions for the RSI.
Use RSI Filter for Signals: Enable/disable the RSI filter for buy and sell signals.
Colors: The colors of the Bollinger Bands, RSI, overbought/oversold levels, and zone highlights can be customized to suit user preferences.
Alerts: The indicator supports customizable alerts for various conditions, including:
Buy Signal: Triggered when a buy signal is generated.
Sell Signal: Triggered when a sell signal is generated.
Price Crossed Upper BB: Triggered when the price crosses above the upper Bollinger Band.
Price Crossed Lower BB: Triggered when the price crosses below the lower Bollinger Band.
RSI Overbought: Triggered when the RSI crosses above the overbought level.
RSI Oversold: Triggered when the RSI crosses below the oversold level.
How to Use:
The Bollinger Bands + RSI indicator can be used in various ways, including:
Identifying Potential Trend Reversals: Price crosses above the lower band coupled with an oversold RSI (and highlighted zone) may signal a bullish reversal. Conversely, a price cross below the upper band with an overbought RSI (and highlighted zone) may indicate a bearish reversal.
Confirming Trend Strength: In an uptrend, the price may "ride" the upper band, while in a downtrend, it may "ride" the lower band.
Exit Signals: Crossing the opposite band while in a trade, particularly with confirming RSI signals, is often used to identify potential exit points.
Combined with Other Analysis: This indicator works well in conjunction with other technical analysis tools, such as trend lines, support/resistance levels, chart patterns, and moving average-based strategies.
Disclaimer:
This indicator is for educational and informational purposes only and should not be considered as financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct thorough research and consider your risk tolerance before making any trading decisions.
Grids lines"Líneas de Grid para Análisis Técnico"
Este indicador dibuja líneas de grid (rejilla) en el gráfico de precios, lo que puede ayudar a visualizar zonas de soporte, resistencia y niveles de interés en un rango de precios determinado.
Características:
Precio Mínimo y Máximo: Configura los precios entre los cuales se dibujarán las líneas de grid.
Número de Grids: Establece cuántas líneas de grid quieres ver en el gráfico.
Color y Grosor de las Líneas: Personaliza los colores y el grosor de las líneas de grid, incluyendo la primera y la última línea.
Estilo de las Líneas: Puedes elegir entre líneas discontinuas (Dotted) o sólidas (Solid), para personalizar aún más tu visualización.
Ticker Específico: Si lo deseas, puedes elegir un ticker específico para dibujar las líneas solo cuando el gráfico esté mostrando ese activo. De lo contrario, las líneas se dibujarán en el gráfico actual.
Parámetros:
Precio Mínimo: El precio más bajo para el rango del grid (por ejemplo: 0.82).
Precio Máximo: El precio más alto para el rango del grid (por ejemplo: 1.24).
Número de Grids: Define cuántas líneas quieres entre el precio mínimo y el máximo (por ejemplo: 30).
Estilo de Línea: Elige entre Dotted (líneas discontinuas) o Solid (líneas sólidas).
Ticker: Si deseas dibujar las líneas solo para un ticker específico, ingresa el símbolo del ticker (por ejemplo, ADAUSDT). Si dejas este campo vacío, las líneas se dibujarán en el gráfico actual.
Ejemplo de Uso:
Si estás analizando el par ADAUSDT, puedes escribir ADAUSDT en el campo del ticker para que las líneas solo se dibujen cuando este par esté visible. Si dejas el campo vacío, las líneas se dibujarán en cualquier ticker que tengas en el gráfico.
Descripción en Inglés:
"Grid Lines for Technical Analysis"
This indicator draws grid lines on the price chart, helping to visualize support, resistance, and key levels within a specific price range.
Features:
Min and Max Price: Set the price range for the grid lines to be drawn.
Number of Grids: Choose how many grid lines you want to display on the chart.
Line Color and Thickness: Customize the color and thickness of the grid lines, including the first and last line.
Line Style: Choose between Dotted (dashed lines) or Solid (solid lines) to further customize your view.
Specific Ticker: If desired, you can specify a ticker for the grid lines to only be drawn when that asset is shown. Otherwise, the lines will be drawn on the current chart.
Parameters:
Min Price: The lowest price for the grid range (for example, 0.82).
Max Price: The highest price for the grid range (for example, 1.24).
Number of Grids: Defines how many lines you want between the minimum and maximum price (for example, 30).
Line Style: Choose between Dotted or Solid.
Ticker: To draw the lines only for a specific ticker, enter the symbol of the ticker (for example, ADAUSDT). If left blank, the lines will be drawn on the current ticker.
Usage Example:
If you're analyzing the pair ADAUSDT, you can enter ADAUSDT in the ticker field to draw the lines only when that pair is visible. If you leave the field blank, the lines will be drawn for any ticker currently on the chart.
Support and Resistancelookback: This input allows you to specify the number of bars to look back to calculate the support and resistance levels.
support: This is calculated as the lowest low over the specified lookback period.
resistance: This is calculated as the highest high over the specified lookback period.
plot: The support and resistance levels are plotted on the chart with different colors.
bgcolor: This optional feature highlights the support and resistance zones with a semi-transparent background color.
Triple Trend Indicator [BigBeluga]Triple Trend Indicator is a versatile trend-following tool designed to help traders identify trend strength and potential pullback levels using a three-band system. Each band represents a varying degree of price deviation from the mean, providing progressively stronger trend signals.
🔵 Key Features:
Three Adaptive Bands:
The indicator dynamically calculates three bands (1, 2, and 3) based on moving averages (SMA, EMA, WMA) and ATR multipliers.
Bands are positioned below the price in an uptrend and above the price in a downtrend, offering clear trend direction visualization.
Signal System:
Signals are generated when price interacts with the bands:
Signal 1: Triggered when the price touches Band 1, indicating a minor pullback within the trend.
Signal 2: Triggered at Band 2, showing a stronger price deviation and trend confirmation.
Signal 3: Triggered at Band 3, representing the most significant price deviation and strongest trend signal.
The further the price deviates from the mean, the stronger the trend signal, with Signal 3 being the most robust.
Color-Coded Bands:
Bands dynamically change color based on the trend direction:
Green bands signify an uptrend.
Brown bands signify a downtrend.
Dynamic Trend Line Changes:
Dashed lines highlight trend changes, helping traders visualize key turning points in the market.
🔵 Usage:
Use the bands to identify trend direction and strength.
Monitor the signal system to assess the level of price deviation and potential pullback strength.
Combine Signal 1, 2, and 3 to confirm trend momentum:
Signal 1 suggests a weaker pullback and continuation.
Signal 2 indicates a stronger trend confirmation.
Signal 3 highlights the strongest momentum and potential exhaustion points.
Utilize the color-coded bands for an intuitive understanding of current market conditions.
The Triple Trend Indicator is an ideal tool for trend traders looking for structured signals and dynamic support and resistance levels to optimize entries and exits.
Machine Learning SupertrendThe Machine Learning Supertrend is an advanced trend-following indicator that enhances the traditional Supertrend with Gaussian Process Regression (GPR) and kernel-based learning. Unlike conventional methods that rely purely on historical ATR values, this indicator integrates machine learning techniques to dynamically estimate volatility and forecast future price movements, resulting in a more adaptive and robust trend detection system.
At the core of this indicator lies Gaussian Process Regression (GPR), which utilizes a Radial Basis Function (RBF) kernel to model price distributions and anticipate future trends. Instead of simply looking at past price action, it constructs a kernel matrix, enabling a probabilistic approach to price forecasting. This allows the indicator to not only detect current trends but also project potential trend reversals with greater accuracy.
By applying machine learning to ATR estimation, the ML Supertrend dynamically adjusts its thresholds based on predicted values rather than a fixed multiplier. This makes the trend signals more responsive to market conditions, reducing false signals and minimizing whipsaws often seen with traditional Supertrend indicators. The upper and lower bands are no longer static but evolve based on the underlying price structure, improving the reliability of trend shifts.
When the price crosses these adaptive levels, the indicator detects a trend change and plots it accordingly. Green signifies a bullish trend, while red indicates a bearish one. Alerts can also be triggered when the trend shifts, allowing traders to react quickly to potential reversals.
What makes this approach powerful is its ability to adapt to different market conditions. Traditional ATR-based methods use fixed parameters that might not always be optimal, whereas this ML-driven Supertrend continuously refines its estimations based on real-time data. The result is a more intelligent, less lagging, and highly adaptive trend-following tool.
This indicator is particularly useful for traders looking to enhance trend-following strategies with AI-driven insights. It reduces noise, improves signal reliability, and even offers a degree of trend forecasting, making it ideal for those who want a more advanced and dynamic alternative to standard Supertrend indicators.
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, and past performance is not indicative of future results. Trading involves risk, and users should conduct their own research and use proper risk management before making investment decisions.
Ultimate Stochastics Strategy by NHBprod Use to Day Trade BTCHey All!
Here's a new script I worked on that's super simple but at the same time useful. Check out the backtest results. The backtest results include slippage and fees/commission, and is still quite profitable. Obviously the profitability magnitude depends on how much capital you begin with, and how much the user utilizes per order, but in any event it seems to be profitable according to backtests.
This is different because it allows you full functionality over the stochastics calculations which is designed for random datasets. This script allows you to:
Designate ANY period of time to analyze and study
Choose between Long trading, short trading, and Long & Short trading
It allows you to enter trades based on the stochastics calculations
It allows you to EXIT trades using the stochastics calculations or take profit, or stop loss, Or any combination of those, which is nice because then the user can see how one variable effects the overall performance.
As for the actual stochastics formula, you get control, and get to SEE the plot lines for slow K, slow D, and fast K, which is usually not considered.
You also get the chance to modify the smoothing method, which has not been done with regular stochastics indicators. You get to choose the standard simple moving average (SMA) method, but I also allow you to choose other MA's such as the HMA and WMA.
Lastly, the user gets the option of using a custom trade extender, which essentially allows a buy or sell signal to exist for X amount of candles after the initial signal. For example, you can use "max bars since signal" to 1, and this will allow the indicator to produce an extra sequential buy signal when a buy signal is generated. This can be useful because it is possible that you use a small take profit (TP) and quickly exit a profitable trade. With the max bars since signal variable, you're able to reenter on the next candle and allow for another opportunity.
Let me know if you have any questions! Please take a look at the performance report and let me know your thoughts! :)
Trend & ADX by Gideon for Indian MarketsThis indicator is designed to help traders **identify strong trends** using the **Kalman Filter** and **ADX** (Average Directional Index). It provides **Buy/Sell signals** based on trend direction and ADX strength. I wanted to create something for Indian markets since there are not much available.
In a nut-shell:
✅ **Buy when the Kalman Filter turns green, and ADX is strong.
❌ **Sell when the Kalman Filter turns red, and ADX is strong.
📌 **Ignore signals if ADX is weak (below threshold).
📊 Use on 5-minute timeframes for intraday trading.
------------------------------------------------------------------------
1. Understanding the Indicator Components**
- **Green Line:** Indicates an **uptrend**.
- **Red Line:** Indicates a **downtrend**.
- The **line color change** signals a potential **trend reversal**.
**ADX Strength Filter**
- The **ADX (orange line)** measures trend strength.
- The **blue horizontal line** marks the **ADX threshold** (default: 20).
- A **Buy/Sell signal is only valid if ADX is above the threshold**, ensuring a strong trend.
**Buy & Sell Signals**
- **Buy Signal (Green Up Arrow)**
- Appears **one candle before** the Kalman line turns green.
- ADX must be **above the threshold** (default: 20).
- Suggests entering a **long position**.
- **Sell Signal (Red Down Arrow)**
- Appears **one candle before** the Kalman line turns red.
- ADX must be **above the threshold** (default: 20).
- Suggests entering a **short position**.
2. Best Settings for 5-Minute Timeframe**
For day trading on the **5-minute chart**, the following settings work best:
- **Kalman Filter Length:** `50`
- **Process Noise (Q):** `0.1`
- **Measurement Noise (R):** `0.01`
- **ADX Length:** `14`
- **ADX Threshold:** `20`
- **(Increase to 25-30 for more reliable signals in volatile markets)**
3. How to Trade with This Indicator**
**Entry Rules**
✅ **Buy Entry**
- Wait for a **green arrow (Buy Signal).
- Kalman Line must **turn green**.
- ADX must be **above the threshold** (strong trend confirmed).
- Enter a **long position** on the next candle.
❌ **Sell Entry**
- Wait for a **red arrow (Sell Signal).
- Kalman Line must **turn red**.
- ADX must be **above the threshold** (strong trend confirmed).
- Enter a **short position** on the next candle.
**Exit & Risk Management**
📌 **Stop Loss**:
- Place stop-loss **below the previous swing low** (for buys) or **above the previous swing high** (for sells).
📌 **Take Profit:
- Use a **Risk:Reward Ratio of 1:2 or 1:3.
- Exit when the **Kalman Filter color changes** (opposite trend signal).
📌 **Avoid Weak Trends**:
- **No trades when ADX is below the threshold** (low trend strength).
4. Additional Tips
- Works best on **liquid assets** like **Bank Nifty, Nifty 50, and large-cap stocks**.
- **Avoid ranging markets** with low ADX values (<20).
- Use alongside **volume analysis and support/resistance levels** for confirmation.
- Experiment with **ADX Threshold (increase for stronger signals, decrease for more trades).**
Best of Luck traders ! 🚀
VWAP Bands with ML [CryptoSea]VWAP Machine Learning Bands is an advanced indicator designed to enhance trading analysis by integrating VWAP with a machine learning-inspired adaptive smoothing approach. This tool helps traders identify trend-based support and resistance zones, predict potential price movements, and generate dynamic trade signals.
Key Features
Adaptive ML VWAP Calculation: Uses a dynamically adjusted SMA-based VWAP model with volatility sensitivity for improved trend analysis.
Forecasting Mechanism: The 'Forecast' parameter shifts the ML output forward, providing predictive insights into potential price movements.
Volatility-Based Band Adjustments: The 'Sigma' parameter fine-tunes the impact of volatility on ML smoothing, adapting to market conditions.
Multi-Tier Standard Deviation Bands: Includes two levels of bands to define potential breakout or mean-reversion zones.
Dynamic Trend-Based Colouring: The VWAP and ML lines change colour based on their relative positions, visually indicating bullish and bearish conditions.
Custom Signal Detection Modes: Allows traders to choose between signals from Band 1, Band 2, or both, for more tailored trade setups.
In the image below, you can see an example of the bands on higher timeframe showing good mean reversion signal opportunities, these tend to work better in ranging markets rather than strong trending ones.
How It Works
VWAP & ML Integration: The script computes VWAP and applies a machine learning-inspired adjustment using SMA smoothing and volatility-based adaptation.
Forecasting Impact: The 'Forecast' setting shifts the ML output forward in time, allowing for anticipatory trend analysis.
Volatility Scaling (Sigma): Adjusts the ML smoothing sensitivity based on market volatility, providing more responsive or stable trend lines.
Trend Confirmation via Colouring: The VWAP line dynamically switches colour depending on whether it is above or below the ML output.
Multi-Level Band Analysis: Two standard deviation-based bands provide a framework for identifying breakouts, trend reversals, or continuation patterns.
In the example below, we can see some of the most reliable signals where we have mean reversion signals from the band whilst the price is also pulling back into the VWAP, these signals have the additional confluence which can give you a higher probabilty move.
Alerts
Bullish Signal Band 1: Alerts when the price crosses above the lower ML Band 1.
Bearish Signal Band 1: Alerts when the price crosses below the upper ML Band 1.
Bullish Signal Band 2: Alerts when the price crosses above the lower ML Band 2.
Bearish Signal Band 2: Alerts when the price crosses below the upper ML Band 2.
Filtered Bullish Signal: Alerts when a bullish signal is triggered based on the selected signal detection mode.
Filtered Bearish Signal: Alerts when a bearish signal is triggered based on the selected signal detection mode.
Application
Trend & Momentum Analysis: Helps traders identify key market trends and potential momentum shifts.
Dynamic Support & Resistance: Standard deviation bands serve as adaptive price zones for potential breakouts or reversals.
Enhanced Trade Signal Confirmation: The integration of ML smoothing with VWAP provides clearer entry and exit signals.
Customizable Risk Management: Allows users to adjust parameters for fine-tuned signal detection, aligning with their trading strategy.
The VWAP Machine Learning Bands indicator offers traders an innovative tool to improve market entries, recognize potential reversals, and enhance trend analysis with intelligent data-driven signals.
BB ATR Fractal MMThe Bollinger Bands + ATR with Fractal indicator is a powerful combination of Bollinger Bands, ATR (Average True Range), and Fractal to help identify market volatility and potential entry/exit points on the chart.
Bollinger Bands help to assess the market’s volatility by calculating upper and lower bands based on the simple moving average (SMA) and standard deviation. It’s an excellent tool for identifying overbought and oversold conditions.
ATR (Average True Range) is used to measure market volatility. It helps determine how much the price is moving, and it can be used to adjust the Bollinger Bands, creating bands that reflect the current volatility more accurately.
Fractal helps to identify peaks and troughs in the market, supporting decision-making by highlighting potential reversal points. Fractals mark regions where price may reverse direction, making it easier to spot possible trade opportunities.
How to Use:
Bollinger Bands Upper and Lower Bands: These bands help to identify overbought or oversold conditions. If the price breaks above the upper band, the market may be overbought. If the price breaks below the lower band, the market may be oversold.
ATR: It indicates the volatility level of the market. When the market shows large volatility (ATR increases), the Bollinger Bands expand to reflect higher price swings.
Fractal: Arrows appear at the market’s peaks and troughs, helping identify entry points for buying (at fractal lows) or selling (at fractal highs). These signals can help you make trading decisions based on potential price reversals.
Multi Stochastic AlertHello Everyone,
I have created a Multi Stochastic Alert based on Scalping Strategy
The Strategy uses below 4 Stochastic indicator:
1. Stochastic (9,3)
2. Stochastic (14,3)
3. Stochastic (40,4)
4. Stochastic (60,10)
Trade entry become active when all of these goes below 20 or above 80, In this indicator you don't need to use all 4, this will show red and green background whenever all of them goes below 20 or above 80.
As shown in picture below, it works better when script is making a channel, Our indicator shows green or red signal, we wait for RSI Divergence and we enter. We book when blue line (9,3) goes above 80, as shown by arrow, and trail rest at breakeven or your own trailing method
Same Situation shown for Short side. We book 50% when Blue line (9,3) Goes below 20 and trail rest at breakeven or your own trailing method
Happy trading, Let me know if any improvements required.
Donchian Reversal Scanner by Hitesh2603How It Works:
Bearish Side Logic:
If the price is falling with bearish candles and touching the lower Donchian Channel, the bearishCondition flag is set to true.
When a bullish candle appears afterward, the flag is reset, and the bullishReversalSquare condition becomes true.
Bullish Side Logic:
If the price is rising with bullish candles and touching the upper Donchian Channel, the bullishCondition flag is set to true.
When a bearish candle appears afterward, the flag is reset, and the bearishReversalSquare condition becomes true.
Plotting Squares:
A green square is plotted below the candle when bullishReversalSquare is true.
A red square is plotted above the candle when bearishReversalSquare is true.
Scanner Output:
The scanCondition variable is true when either bullishReversalSquare or bearishReversalSquare is true.
How to Use the Script:
On the Chart:
Add the script to your chart.
You will see squares plotted on the chart when the conditions are met:
Green squares below the candle for bullish reversals.
Red squares above the candle for bearish reversals.
In the Scanner:
Open the Scanner tab in TradingView.
Click on "Create New Scanner".
In the "Condition" field, select the script you just created.
Choose the market or watchlist you want to scan (e.g., "NYSE", "NASDAQ", or a custom watchlist).
Run the scan. The Scanner will return a list of instruments where the scanCondition is true.
Why This Works:
The scanCondition variable is now properly declared and used.
The plotchar function explicitly outputs the scanCondition variable as a plot, which the Scanner can recognize.
