Multi-Timeframe EMA Distance & % Change TableDescription of Multi-Timeframe EMA Distance & % Change Table
The Multi-Timeframe EMA Distance & % Change Table indicator is designed to display the distance and percentage change between the current price and the Exponential Moving Averages (EMAs) on multiple timeframes. It creates a table to show these values, with customizable options for decimal precision .
Key Features:
Inputs:
- Timeframes (tf1, tf2, tf3, tf4): User-defined timeframes for EMA calculations (e.g., 1 minute, 15 minutes, daily, etc.).
- EMA Levels (emaLevel, emaLevel2, emaLevel3): User-defined periods for three different EMAs.
EMA Calculations:
- Computes EMAs for the specified levels (50, 100, 200) on each of the user-selected timeframes.
Plotting:
- Plots the EMAs on the chart with distinct colors: Orange, Teal, and Green for different EMAs.
Display Options:
- Checkbox (displayAsPercentage): Allows the user to toggle between displaying distances or percentage changes.
- Decimal Precision:
- decimalPlacesDistance: Specifies the number of decimal places for rounded distance values.
- decimalPlacesPercentage: Specifies the number of decimal places for rounded percentage values.
Table Creation:
- Location: Table is placed in the top-right corner of the chart.
- Headers: Includes columns for each timeframe and EMA distance/percentage.
Distance and Percentage Calculations:
- Distances: Calculated as the difference between the current price and the EMA values for each timeframe.
- Percentages: Calculated as the distance divided by the EMA value, converted to a percentage.
Decimal Rounding:
- Custom Rounding Function: Ensures that distance and percentage values are displayed with the user-specified number of decimal places.
Color Coding:
- Distance Values: Colored green if positive, red if negative.
- Table Entries: Display either the rounded distance or percentage, based on user selection.
Table Update:
- The table is dynamically updated with either distance or percentage values based on the user's choice and rounded to the specified number of decimal places.
This indicator provides a comprehensive overview of EMA distances and percentage changes across multiple timeframes, with detailed control over the precision of the displayed values.
趨勢分析
Bollinger Band + Mid BandBollinger Band + Mid Band
This indicator combines the classic Bollinger Bands with enhanced customization options, allowing traders to fine-tune the settings according to their specific strategies.
Key Features:
Moving Average Flexibility: Choose between Simple Moving Average (SMA), Exponential Moving Average (EMA), or Weighted Moving Average (WMA) as the central basis for the Bollinger Bands. This flexibility allows you to align the indicator with your preferred method of trend analysis.
Dual Band Deviation: The indicator includes two sets of upper and lower bands based on different standard deviation multipliers. This helps you analyze both the tightness of price action and potential breakout zones.
Customizable Colors: The mid-band, upper bands, and lower bands can be fully customized in terms of color, allowing you to personalize the visual representation of the indicator on your charts.
Dynamic Transparency: The space between the outer Bollinger Bands can be filled with a customizable transparent color, making it easy to visualize price movements within the bands.
Alerts for Crossovers: Alerts are triggered whenever the price crosses above the upper band or below the lower band, giving you timely notifications of potential breakout or breakdown scenarios.
Overbought/Oversold Visualization: The background of the chart changes color when the price crosses above the upper band (indicating overbought conditions) or below the lower band (indicating oversold conditions), providing a visual cue to help you identify market extremes.
Labeling for Significant Events: Labels appear on the chart whenever the price crosses the upper or lower bands, helping you quickly identify key moments for further analysis.
This script is designed for traders who want to leverage Bollinger Bands in their technical analysis but require additional flexibility and customization options. Whether you're using it for trend analysis, volatility assessment, or identifying overbought and oversold conditions, this tool can be tailored to fit a wide variety of trading styles.
Usage:
Ideal for traders looking to enhance the standard Bollinger Bands with more dynamic and customizable features.
Suitable for any market, including stocks, forex, and cryptocurrencies.
Useful in identifying volatility squeezes, breakouts, and potential reversal points.
Configurable Level Trading StrategyThe Dynamic Level Reversal Strategy is a trading approach designed to capitalize on price movements between key support and resistance levels. This strategy leverages configurable levels the trader determines, allowing for flexibility and adaptation to different market conditions.
Key Features:
Configurable Levels:
The strategy uses three key levels: Level 1 (Support), Level 2 (Middle), and Level 3 (Resistance). These levels can be adjusted directly within the script settings, making the strategy adaptable to various trading scenarios.
Buy and Sell Signals:
A buy signal is triggered when the price touches Level 1 and shows signs of reversal. The trader enters a position and sets an initial stop-loss just below Level 1.
As the price moves upward, the stop-loss is dynamically adjusted to just below Level 2 and Level 3, locking in profits while managing risk.
A sell signal is generated if the price reverses and crosses below the current stop-loss level, ensuring the trader exits the position with minimized losses.
Iterative Process:
The strategy allows for iterative trades, where the trader re-enters positions at Level 1 or Level 2 if the price revisits these levels, continually adjusting stop-losses and take-profit targets as the price oscillates between the defined levels.
Ideal Use Cases:
Range-Bound Markets: The strategy is particularly effective in markets where the price tends to oscillate between well-defined support and resistance levels.
Volatile Markets: The dynamic adjustment of stop-loss levels helps protect against sudden price reversals, making it suitable for volatile market conditions.
How to Use:
Set the desired levels (Level 1, Level 2, Level 3) based on your market analysis.
The script will automatically generate buy and sell signals, and adjust stop-loss levels as the price moves through the levels.
Monitor the signals and execute trades according to the strategy's guidelines.
EMA 50 200 Multi-Scanner
EMA 50 200 Multi-Scanner: İndikatör Açıklaması ve Kullanım Kılavuzu
"EMA 50 200 Multi-Scanner" indikatörü, birden fazla kripto para çiftini farklı zaman dilimlerinde tarayan güçlü bir teknik analiz aracıdır. Bu indikatör, 50 periyotluk ve 200 periyotluk Üssel Hareketli Ortalamalar (EMA) arasındaki ilişkiyi analiz ederek, çeşitli zaman dilimlerinde potansiyel alım ve satım fırsatlarını tespit etmenizi sağlar. Hem kısa vadeli trendleri hem de uzun vadeli trendleri gözlemleyerek, piyasa koşullarına uygun stratejiler geliştirmenize yardımcı olur.
Ne İşe Yarar?
Trend Yönünü Belirleme: İndikatör, seçtiğiniz kripto para çiftlerinin her birinde 50 EMA ve 200 EMA arasındaki ilişkiyi analiz eder. Bu analiz, hem kısa vadeli hem de uzun vadeli trendlerin yönünü belirlemenize olanak tanır.
Zaman Dilimleri Arası Analiz: Farklı zaman dilimlerinde çalışabilen bu indikatör, günlük, saatlik, dakikalık gibi çeşitli periyotlarda trendleri ve fiyat hareketlerini incelemenizi sağlar. Bu, hem kısa vadeli ticaret fırsatlarını yakalamak hem de uzun vadeli yatırım kararlarını desteklemek için idealdir.
Alım/Satım Sinyalleri: İndikatör, fiyatın 50 EMA ve 200 EMA ile olan ilişkisini temel alarak alım ve satım sinyalleri üretir. Bu sinyaller, piyasa trendlerinden yararlanarak pozisyon açma veya kapama kararlarınızı destekler.
Dinamik Destek ve Direnç Seviyeleri: EMA seviyeleri, aynı zamanda dinamik destek ve direnç seviyeleri olarak kullanılabilir. Fiyatın bu seviyelere yaklaşması, potansiyel geri dönüş noktalarını veya trendin devamını işaret edebilir.
Nasıl Kullanılır?
İndikatör Ayarları:
EMA Uzunlukları: İhtiyacınıza göre 50 EMA ve 200 EMA'nın periyot uzunluklarını ayarlayabilirsiniz.
Renkler: EMA çizgilerinin rengini tercihinize göre özelleştirebilirsiniz.
Negatif Değerleri Gösterme: Fiyatın EMA seviyelerinin altında olduğu durumlarda negatif değerleri görmek isterseniz, bu özelliği aktif hale getirebilirsiniz.
Semboller: İndikatör, önceden tanımlanmış kripto para çiftleri üzerinde çalışır. Her bir sembol, seçtiğiniz zaman diliminde taranır ve sonuçlar gösterilir. Gereksinimlerinize göre bu sembolleri seçebilir veya çıkarabilirsiniz.
Zaman Dilimleri: İndikatör, TradingView platformundaki tüm zaman dilimlerinde çalışır. Bu, hem kısa vadeli hem de uzun vadeli yatırımcılar için esnek bir analiz olanağı sunar.
Al/Sat Sinyalleri:
Alım Sinyali: 50 EMA, 200 EMA'yı yukarı yönde kestiğinde ve fiyat bu kesişimin üzerinde olduğunda yeşil bir "BUY" etiketi ile gösterilir.
Satım Sinyali: 50 EMA, 200 EMA'yı aşağı yönde kestiğinde ve fiyat bu kesişimin altında olduğunda kırmızı bir "SELL" etiketi ile gösterilir.
"EMA 50 200 Multi-Scanner," çoklu zaman dilimlerinde ve kripto para çiftlerinde trend takibi yapmak isteyen yatırımcılar için etkili ve kullanımı kolay bir araçtır. Piyasa koşullarını daha iyi anlamak ve ticaret stratejilerinizi optimize etmek için bu indikatörü kullanabilirsiniz.
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The "EMA 50 200 Multi-Scanner" is a powerful technical analysis tool designed to scan multiple cryptocurrency pairs across different timeframes. This indicator analyzes the relationship between the 50-period and 200-period Exponential Moving Averages (EMA) to help you identify potential buying and selling opportunities across various timeframes. It enables you to observe both short-term and long-term trends, aiding in the development of market-appropriate strategies.
Purpose
Trend Direction Identification: The indicator analyzes the relationship between the 50 EMA and 200 EMA for each selected cryptocurrency pair, allowing you to determine the direction of both short-term and long-term trends.
Multi-Timeframe Analysis: This indicator can operate across different timeframes, such as daily, hourly, and minute-based periods, allowing you to examine trends and price movements in multiple contexts. It is ideal for capturing short-term trading opportunities and supporting long-term investment decisions.
Buy/Sell Signals: The indicator generates buy and sell signals based on the relationship between the price and the 50 EMA and 200 EMA. These signals support your decision-making process by highlighting opportunities to open or close positions based on market trends.
Dynamic Support and Resistance Levels: The EMA levels can also serve as dynamic support and resistance levels. When the price approaches these levels, it can indicate potential reversal points or trend continuations.
How to Use
Indicator Settings:
EMA Lengths: Adjust the period lengths of the 50 EMA and 200 EMA to suit your needs.
Colors: Customize the colors of the EMA lines according to your preferences.
Show Negative Values: If you want to see negative values when the price is below the EMA levels, you can enable this feature.
Symbols: The indicator works on predefined cryptocurrency pairs. Each symbol is scanned within the selected timeframe, and results are displayed. You can select or deselect symbols according to your requirements.
Timeframes: The indicator functions across all timeframes available on the TradingView platform, offering flexible analysis for both short-term and long-term traders.
Buy/Sell Signals:
Buy Signal: A green "BUY" label is shown when the 50 EMA crosses above the 200 EMA and the price is above this crossover.
Sell Signal: A red "SELL" label is shown when the 50 EMA crosses below the 200 EMA and the price is below this crossover.
The "EMA 50 200 Multi-Scanner" is an effective and user-friendly tool for traders looking to track trends across multiple timeframes and cryptocurrency pairs. You can use this indicator to gain a better understanding of market conditions and optimize your trading strategies.
Support line based on RSIThis indicator builds a support line using the stock price and RSI.
Inputs:
1. Time window for the RSI:
the time window the RSI is calculated with, usually it's 14 but in here I recommend 30.
2. offset by percentage:
just adding or subtructing some percentage of the result, some stocks need a bit of offset to work
3. stability:
the higher it is the less the RSI effects the graph. for realy high stability the indicator the the stock price will be realy close.
formula: (close*(100-newRSI)/50)*(100+offset)/100
when:
newRSI = (RSI + (50 * stability1))/(stability+1)
recommended usage:
Usually, if the indicator becomes higher than the price, (the price lowers). the stock will go up again to around the last price where they met.
so, for example, if the stock price was 20 and going down. while the indicator was 18 and going up, then they met at 19 and later the indicator became 20 while the stock fell to 18. most chances are that the stock will come back to 19 where they met and at the same time the indicator will also get to 19.
In stocks that are unstable, like NVDA. this indicator can be used to see the trend and avoid the unstability of the stock.
Historical Swing High-Low Gann IndicatorThe Historical Swing High-Low Gann Indicator is a powerful tool designed to track and visualize key market swing points over time. This indicator identifies significant swing highs and lows within a specified time frame and draws connecting lines between these points, allowing traders to observe the natural ebb and flow of the market.
What sets this indicator apart is its ability to maintain all previously drawn swing lines, creating a comprehensive historical view of market movements. Additionally, the indicator projects Gann-style lines from the most recent swing highs and lows, providing traders with potential future support and resistance levels based on the geometric progression of price action.
Features:
Swing Detection: Automatically detects significant swing highs and lows over a user-defined period (default is 3 hours).
Persistent Historical Lines: Keeps all previously drawn lines, offering a complete visual history of the market's swing points.
Gann-Style Projections: Draws forward-looking lines from the latest swing points to help predict possible future market levels.
Customizable Parameters: Allows users to adjust the swing detection period to suit different trading styles and time frames.
This indicator is ideal for traders who rely on price action, support and resistance levels, and Gann theory for their analysis. Whether used in isolation or as part of a broader strategy, the Historical Swing High-Low Gann Indicator provides valuable insights into the market's behavior over time.
Whaley Breadth Thrust IndicatorThe Whaley Breadth Thrust Indicator (WBT) is a momentum-based technical indicator designed to identify the strength of market trends. It measures the market's breadth by comparing advancing stocks to declining stocks, providing insights into whether a market is in a bullish, neutral, or bearish state. This script calculates the indicator based on the advancing and declining U.S. stocks; however, it can be expanded to other markets as well.
Breadth Thrust Ratio (BTR):
This is calculated as the ratio of advancing stocks to the total number of advancing and declining stocks.
Formula: BTR = Advances / (Advances + Declines + small_offset), where the small offset prevents division errors.
Smoothing:
The BTR is smoothed using a 3-period Exponential Moving Average (EMA) to reduce noise and highlight significant trends.
Thresholds:
0.30: Indicates a strongly bearish market.
0.40: A bearish threshold; crossing below suggests bearish momentum.
0.60: A bullish threshold; crossing above suggests bullish momentum.
0.70: Indicates a strongly bullish market.
Candle Fibs [QuantVue]The Candles Fib indicator is designed to help traders find potential levels of support and resistance based on ATR and Fibs.
How the Indicator Works
Identification of Large Candles:
🔹The indicator begins by identifying "large candles" based on their size relative to the Average True Range (ATR).
🔹 ATR (Average True Range) : ATR is a technical analysis indicator that measures market volatility by averaging the true range over a specified period, default 10 periods. The true range is the greatest of the following:
The difference between the current high and current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
🔹In this script, a candle is considered "large" if its true range (the difference between the high and low) is at least twice the ATR.
Calculation of Fibonacci Levels:
🔹Once a large candle is identified, the indicator calculates key Fibonacci retracement levels based on the size of the candle.
🔹 Fibonacci Retracement : Fibonacci retracement levels are horizontal lines that indicate where support and resistance are likely to occur. These levels are derived from the Fibonacci sequence, a series of numbers where each number is the sum of the two preceding ones, often found in nature and markets.
🔹The most commonly used Fibonacci retracement levels are 0.382, 0.50, 0.618, and 0.786. In this indicator, the 0.50 and 0.618 levels are used.
Dynamic Plotting and Management of Levels:
🔹The indicator plots these Fibonacci levels as horizontal lines on the chart automatically.
🔹These lines extend as new bars (candlesticks) are formed, allowing the trader to see how the market reacts to these levels in real-time.
Give this indicator a BOOST and COMMENT your thoughts below!
We hope you enjoy.
Cheers!
Linear and Logarithmic Fibonacci Levels and FansIntroduction
The Fibonacci Retracement tool is a go-to for traders looking to spot potential support and resistance levels. By measuring the distance between swing highs and lows, you can apply Fibonacci ratios like 0.236, 0.382, and 0.618 to predict key market levels.
Traditionally, these levels are set by dividing this distance into equal parts—known as Linear Levels. A more refined approach, Logarithmic Levels, divides the distance into proportionally equal segments. Plus, this indicator now includes Fibonacci fans, adding another layer of analysis by projecting potential price levels using trendlines based on Fibonacci ratios.
This tool makes it easier to identify both Linear and Logarithmic levels while also leveraging Fibonacci fans for a more complete market view.
Applications
Logarithmic Levels and Fibonacci fans are ideal for volatile markets. In crypto, they’re especially effective for BTCUSDT (check out the wick from January 23, 2024). They also help spot accumulation and distribution patterns in high-volume altcoins like FETUSDT . In traditional markets, they’re useful for tracking stocks like TSLA and NVDA with extreme price swings, as well as indices in inflation-affected markets like XU100 , or recession-hit currency pairs like JPYUSD .
How to Use
This indicator is intuitive and similar to TradingView’s Fibonacci Tool. Select your reference levels (Level 1 and Level 0), then tweak the settings to customize your analysis, including adding Fibonacci fans for extra insights.
Why It’s Different
Unlike TradingView’s tool, which forces you to switch to a logarithmic scale (messing with other indicators and trend lines), this indicator lets you view both Linear and Logarithmic levels—and Fibonacci fans—without changing your chart’s scale. The original Fibonacci Code was derived from zekicanozkanli, modified and upgraded to plot fib fans as well.
Trading Desk - OPEN SOURCEThe Trading Desk - is a powerful tool designed to identify key market stages based on Break of Structure (BOS) patterns. This indicator tracks Bullish and Bearish Market Breaks (MBs) to determine four crucial market stages: Accumulation, Distribution, Reaccumulation, and Redistribution.
Accumulation: Identified when a series of Bullish MBs dominate the market, signaling a potential upward trend.
Distribution: Triggered by dominant Bearish MBs, indicating a possible market decline.
Reaccumulation: Occurs after a sequence of Bullish MBs is followed by up to three Bearish MBs, suggesting a continuation of the upward trend after a temporary pullback.
Redistribution: Appears when a sequence of Bearish MBs is followed by up to three Bullish MBs, indicating a potential continuation of the downward trend after a brief upward correction.
The indicator also includes a dynamic table displayed at the top right of the chart, showing the current market stage in real-time. This helps traders quickly assess the market environment and make informed trading decisions.
Ideal for: Traders looking to understand market structure and identify trend continuation or reversal phases.
MM Market Range MapWhat this script does:
The purpose of this script is to help traders identify when the major sectors of the market are moving in one direction - also known as a "market trend day".
How this script works:
The indicator uses QQQ, SMH and NVDA to represent the technology side of the market, and XLF, XLV & IWM to represent everything else. It tracks where price is within the day's range for each of those symbols, and presents that data in a table and in also in a dot-based "map".
How to use this script:
Using the dot-based map, you can see if all symbols were ever at the highs or lows of their range together. You can use this information to decide which direction you should be trading (ie. with trend). For example, in order for there to be healthy bullish moves in the market, you would want this indicator to show you that all sectors are at the highs or trending in that direction.
What makes this script original:
Most indicators and even the TradingView watchlist measure the percent changed on the day from the closing price of a stock on the prior trading day, essentially telling you what sentiment is since yesterday. This script tells you the sentiment today since it is priced from the opening print. It also provides the map so you can see if they were ever at the highs or lows together throughout the day, which can be an early indicator that the market will trend.
Super Technical RatingsThis indicator, titled "Super Technical Ratings," is designed to provide a multi-timeframe technical analysis based on Moving Averages (MAs) and Oscillators. It offers a comprehensive view by evaluating the strength of buy and sell signals across multiple timeframes, displaying these evaluations both visually on the chart and in a table format.
I know that Technical Ratings is one of the most excellent indicators, but it’s also true that trends can often be misread due to the influence of other timeframes. Especially on shorter timeframes, there can be sudden price movements influenced by trends in longer timeframes. While it’s important to check other timeframes, switching between charts can be very cumbersome. I created this indicator with the hope of being able to check the Technical Ratings across multiple timeframes on a single screen. It goes without saying, I recommend displaying it as lines rather than histograms.
Key Features:
1. **Multi-Timeframe Analysis:**
- The indicator evaluates technical ratings on five different timeframes: 60 minutes, 240 minutes, 1 day, 1 week, and 1 month.
- Each timeframe is individually analyzed using a combination of Moving Averages and Oscillators, or either one depending on the user’s settings.
2. **Technical Ratings Calculation:**
- The ratings are based on the overall combination of MAs and Oscillators (`All`), MAs only, or Oscillators only, depending on the user's selection.
- The rating results are categorized into five statuses: "Strong Buy," "Buy," "Neutral," "Sell," and "Strong Sell."
3. **Table Display:**
- A table is generated on the chart to show the technical ratings for each timeframe. The table columns display the timeframe and the corresponding ratings for MAs, Oscillators, and their combination.
- The table cells are color-coded based on the rating, making it easy to quickly identify strong buy or sell signals.
4. **Graphical Plotting:**
- The indicator plots the technical rating signals for each timeframe on the chart. Different colors are used for each timeframe to help distinguish between them.
- Horizontal lines are plotted at 0, +0.5, and -0.5 levels to indicate key thresholds, making it easier to interpret the strength of the signals.
5. **Alert Conditions:**
- The indicator can trigger alerts when the technical rating crosses certain thresholds (e.g., moving from a neutral rating to a buy or sell rating).
- This helps users stay informed of significant changes in the market conditions.
Use Case:
This indicator is particularly useful for traders who want to see a consolidated view of technical ratings across multiple timeframes. It allows for a quick assessment of whether a security is generally considered a buy or sell across different time periods, aiding in making more informed trading decisions. The visual representation, combined with the color-coded table, provides an intuitive way to understand the current market sentiment.
ICT Balanced Price Range [TradingFinder] BPR | FVG + IFVG🔵 Introduction
The ICT Balanced Price Range (BPR) indicator is a valuable tool that helps traders identify key areas on price charts where a balance between buyers and sellers is established. These zones can serve as critical points for potential price reversals or continuations.
🟣 Bullish Balanced Price Range
A Bullish BPR forms when a buying pressure zone (Bullish FVG) overlaps with a Bullish Inversion FVG. This overlap indicates a high probability of price moving upwards, making it a crucial area for traders to consider.
🟣 Bearish Balanced Price Range
Similarly, a Bearish BPR is created when a selling pressure zone (Bearish FVG) overlaps with a Bearish Inversion FVG. This zone is often seen as a key area where the price is likely to move downward.
🔵 How to Use
🟣 Identifying the Balanced Price Range (BPR)
To identify the Balanced Price Range (BPR), you must first locate two Fair Value Gaps (FVGs) on the price chart. One FVG should be on the sell side, and the other on the buy side. When these two FVGs horizontally oppose each other, the area where they overlap is recognized as the Balanced Price Range (BPR).
This BPR zone is highly sensitive to price movements due to the combination of two FVGs, often leading to strong market reactions. As the price approaches this area, the likelihood of a significant market move increases, making it a prime target for professional traders.
🟣 Bullish Balanced Price Range (Bullish BPR)
To effectively trade using a Bullish BPR, begin by identifying a bullish market structure and searching for bullish Price Delivery Arrays (PD Arrays). Once the market structure shifts to bullish in a lower time frame, locate a Bullish FVG within the Discount Zone that overlaps with a Bearish FVG.
Mark this overlapping zone and wait for the price to test it before executing a buy trade. Alternatively, you can set a Buy Limit order with a stop loss below the recent swing low and target profits based on higher time frame liquidity draws.
🟣 Bearish Balanced Price Range (Bearish BPR)
For bearish trades, start by identifying a bearish market structure and look for bearish PD Arrays. After the market structure shifts to bearish in a lower time frame, identify a Bearish FVG within the Discount Zone that overlaps with a Bullish FVG. Mark this overlapping zone and execute a sell trade when the price tests it.
You can also use a Sell Limit order with a stop loss above the recent swing high and target profits according to higher time frame liquidity draws.
🔵 Settings
🟣 Global Settings
Show All Inversion FVG & IFVG : If disabled, only the most recent FVG & IFVG will be displayed.
FVG & IFVG Validity Period (Bar) : Determines the maximum duration (in number of candles) that the FVG and IFVG remain valid.
Switching Colors Theme Mode : Includes three modes: "Off", "Light", and "Dark". "Light" mode adjusts colors for light mode use, "Dark" mode adjusts colors for dark mode use, and "Off" disables color adjustments.
🟣 Display Settings
Show Bullish BPR : Toggles the display of demand-related boxes.
Show Bearish BPR : Toggles the display of supply-related boxes.
Mitigation Level BPR : Options include "Proximal", "Distal", or "50 % OB" modes, which you can choose based on your needs. The "50 % OB" line is the midpoint between distal and proximal.
Show Bullish IFVG : Toggles the display of demand-related boxes.
Show Bearish IFV G: Toggles the display of supply-related boxes.
Mitigation Level FVG and IFVG : Options include "Proximal", "Distal", or "50 % OB" modes, which you can choose based on your needs. The "50 % OB" line is the midpoint between distal and proximal.
🟣 Logic Settings
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter : Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter : Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter : Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filte r: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🟣 Alert Settings
Alert Inversion FVG Mitigation : Enables alerts for Inversion FVG mitigation.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
Display More Info : Provides additional details in alert messages, including price range, date, hour, and minute. Set to 'Off' to exclude this information.
🔵 Conclusion
The ICT Balanced Price Range is a powerful and reliable tool for identifying key points on price charts. This strategy can be applied across various time frames and serves as a complementary tool alongside other indicators and technical analysis methods.
The most crucial aspect of utilizing this strategy effectively is correctly identifying FVGs and their overlapping areas, which comes with practice and experience.
Normalized Willspread IndicatorNot sure to call it as willspread or not, because i take this idea from Larry William's original willspread indicator and did some modifications which found out to be more effective in my opinion, which is by subtracting 21 and 3 ma, this indicator is found on Trade_Stocks_and_Commodities_With_the_Insiders page155. Feel free to find out.
Here's what I modified, instead of using the subtraction between two ma, I use one ma only, I find more accurate in spotting oversold and overbought value. This indicator is useful for metals. It basically compares the value between two assets, let's say u are watching gold, u can select compare it to dxy, us30Y or gold, let's say u choose to compare to dxy, and the indicator shows the the index is overvalued which is above 80 levels, then it is suggesting that gold is overvalued, the same logic apply to undervalued as well which is 20 levels. This is not a entry or exit tool but as additional confluence, u can use any entry method u want like supply and demand and use this indicator to validate your idea, not sure whether it works on forex or not, so far i think it works well on metals.
The bar colour corresponding to the index when it is overbought or oversold. U can switch off it if you dont need it. Do note that this is a repainting indicator, so u must refer to previous week close.
Multi-Step FlexiSuperTrend - Strategy [presentTrading]At the heart of this endeavor is a passion for continuous improvement in the art of trading
█ Introduction and How it is Different
The "Multi-Step FlexiSuperTrend - Strategy " is an advanced trading strategy that integrates the well-known SuperTrend indicator with a nuanced and dynamic approach to market trend analysis. Unlike conventional SuperTrend strategies that rely on static thresholds and fixed parameters, this strategy introduces multi-step take profit mechanisms that allow traders to capitalize on varying market conditions in a more controlled and systematic manner.
What sets this strategy apart is its ability to dynamically adjust to market volatility through the use of an incremental factor applied to the SuperTrend calculation. This adjustment ensures that the strategy remains responsive to both minor and major market shifts, providing a more accurate signal for entries and exits. Additionally, the integration of multi-step take profit levels offers traders the flexibility to scale out of positions, locking in profits progressively as the market moves in their favor.
BTC 6hr Long/Short Performance
█ Strategy, How it Works: Detailed Explanation
The Multi-Step FlexiSuperTrend strategy operates on the foundation of the SuperTrend indicator, but with several enhancements that make it more adaptable to varying market conditions. The key components of this strategy include the SuperTrend Polyfactor Oscillator, a dynamic normalization process, and multi-step take profit levels.
🔶 SuperTrend Polyfactor Oscillator
The SuperTrend Polyfactor Oscillator is the heart of this strategy. It is calculated by applying a series of SuperTrend calculations with varying factors, starting from a defined "Starting Factor" and incrementing by a specified "Increment Factor." The indicator length and the chosen price source (e.g., HLC3, HL2) are inputs to the oscillator.
The SuperTrend formula typically calculates an upper and lower band based on the average true range (ATR) and a multiplier (the factor). These bands determine the trend direction. In the FlexiSuperTrend strategy, the oscillator is enhanced by iteratively applying the SuperTrend calculation across different factors. The iterative process allows the strategy to capture both minor and significant trend changes.
For each iteration (indexed by `i`), the following calculations are performed:
1. ATR Calculation: The Average True Range (ATR) is calculated over the specified `indicatorLength`:
ATR_i = ATR(indicatorLength)
2. Upper and Lower Bands Calculation: The upper and lower bands are calculated using the ATR and the current factor:
Upper Band_i = hl2 + (ATR_i * Factor_i)
Lower Band_i = hl2 - (ATR_i * Factor_i)
Here, `Factor_i` starts from `startingFactor` and is incremented by `incrementFactor` in each iteration.
3. Trend Determination: The trend is determined by comparing the indicator source with the upper and lower bands:
Trend_i = 1 (uptrend) if IndicatorSource > Upper Band_i
Trend_i = 0 (downtrend) if IndicatorSource < Lower Band_i
Otherwise, the trend remains unchanged from the previous value.
4. Output Calculation: The output of each iteration is determined based on the trend:
Output_i = Lower Band_i if Trend_i = 1
Output_i = Upper Band_i if Trend_i = 0
This process is repeated for each iteration (from 0 to 19), creating a series of outputs that reflect different levels of trend sensitivity.
Local
🔶 Normalization Process
To make the oscillator values comparable across different market conditions, the deviations between the indicator source and the SuperTrend outputs are normalized. The normalization method can be one of the following:
1. Max-Min Normalization: The deviations are normalized based on the range of the deviations:
Normalized Value_i = (Deviation_i - Min Deviation) / (Max Deviation - Min Deviation)
2. Absolute Sum Normalization: The deviations are normalized based on the sum of absolute deviations:
Normalized Value_i = Deviation_i / Sum of Absolute Deviations
This normalization ensures that the oscillator values are within a consistent range, facilitating more reliable trend analysis.
For more details:
🔶 Multi-Step Take Profit Mechanism
One of the unique features of this strategy is the multi-step take profit mechanism. This allows traders to lock in profits at multiple levels as the market moves in their favor. The strategy uses three take profit levels, each defined as a percentage increase (for long trades) or decrease (for short trades) from the entry price.
1. First Take Profit Level: Calculated as a percentage increase/decrease from the entry price:
TP_Level1 = Entry Price * (1 + tp_level1 / 100) for long trades
TP_Level1 = Entry Price * (1 - tp_level1 / 100) for short trades
The strategy exits a portion of the position (defined by `tp_percent1`) when this level is reached.
2. Second Take Profit Level: Similar to the first level, but with a higher percentage:
TP_Level2 = Entry Price * (1 + tp_level2 / 100) for long trades
TP_Level2 = Entry Price * (1 - tp_level2 / 100) for short trades
The strategy exits another portion of the position (`tp_percent2`) at this level.
3. Third Take Profit Level: The final take profit level:
TP_Level3 = Entry Price * (1 + tp_level3 / 100) for long trades
TP_Level3 = Entry Price * (1 - tp_level3 / 100) for short trades
The remaining portion of the position (`tp_percent3`) is exited at this level.
This multi-step approach provides a balance between securing profits and allowing the remaining position to benefit from continued favorable market movement.
█ Trade Direction
The strategy allows traders to specify the trade direction through the `tradeDirection` input. The options are:
1. Both: The strategy will take both long and short positions based on the entry signals.
2. Long: The strategy will only take long positions.
3. Short: The strategy will only take short positions.
This flexibility enables traders to tailor the strategy to their market outlook or current trend analysis.
█ Usage
To use the Multi-Step FlexiSuperTrend strategy, traders need to set the input parameters according to their trading style and market conditions. The strategy is designed for versatility, allowing for various market environments, including trending and ranging markets.
Traders can also adjust the multi-step take profit levels and percentages to match their risk management and profit-taking preferences. For example, in highly volatile markets, traders might set wider take profit levels with smaller percentages at each level to capture larger price movements.
The normalization method and the incremental factor can be fine-tuned to adjust the sensitivity of the SuperTrend Polyfactor Oscillator, making the strategy more responsive to minor market shifts or more focused on significant trends.
█ Default Settings
The default settings of the strategy are carefully chosen to provide a balanced approach between risk management and profit potential. Here is a breakdown of the default settings and their effects on performance:
1. Indicator Length (10): This parameter controls the lookback period for the ATR calculation. A shorter length makes the strategy more sensitive to recent price movements, potentially generating more signals. A longer length smooths out the ATR, reducing sensitivity but filtering out noise.
2. Starting Factor (0.618): This is the initial multiplier used in the SuperTrend calculation. A lower starting factor makes the SuperTrend bands closer to the price, generating more frequent trend changes. A higher starting factor places the bands further away, filtering out minor fluctuations.
3. Increment Factor (0.382): This parameter controls how much the factor increases with each iteration of the SuperTrend calculation. A smaller increment factor results in more gradual changes in sensitivity, while a larger increment factor creates a wider range of sensitivity across the iterations.
4. Normalization Method (None): The default is no normalization, meaning the raw deviations are used. Normalization methods like Max-Min or Absolute Sum can make the deviations more consistent across different market conditions, improving the reliability of the oscillator.
5. Take Profit Levels (2%, 8%, 18%): These levels define the thresholds for exiting portions of the position. Lower levels (e.g., 2%) capture smaller profits quickly, while higher levels (e.g., 18%) allow positions to run longer for more significant gains.
6. Take Profit Percentages (30%, 20%, 15%): These percentages determine how much of the position is exited at each take profit level. A higher percentage at the first level locks in more profit early, reducing exposure to market reversals. Lower percentages at higher levels allow for a portion of the position to benefit from extended trends.
EMA Crossover Buy/Sell IndicatorScript Overview
This script is a trading indicator designed to identify potential buy and sell signals based on the crossover of two Exponential Moving Averages (EMAs):
Indicator Title and Setup:
The script is named "EMA Crossover Buy/Sell Indicator" and is plotted directly on the price chart.
EMAs Calculation:
It calculates two EMAs: a 20-period EMA and a 50-period EMA. These are used to analyze the market trends over different time frames.
Plotting EMAs:
The 20-period EMA is shown on the chart in blue.
The 50-period EMA is shown in orange.
These lines help visualize the current trend and potential points of interest where the moving averages intersect.
Generating Signals:
A buy signal is triggered when the 20-period EMA crosses above the 50-period EMA.
A sell signal is triggered when the 20-period EMA crosses below the 50-period EMA.
These signals suggest potential buying or selling opportunities based on the crossover of the EMAs.
Displaying Signals:
Buy signals are marked with green labels below the bars on the chart.
Sell signals are marked with red labels above the bars on the chart.
This visual representation helps traders quickly identify potential trading opportunities.
Alerts:
Alerts are set up to notify the trader when a buy or sell signal occurs.
The alert messages specify whether the signal is a buying opportunity or a selling opportunity based on the EMA crossovers.
Marcos Ruiz :Price Change Speed Descripción:
Este indicador en Pine Script está diseñado para analizar y visualizar dinámicamente la velocidad de los cambios de precio en un gráfico de TradingView. El indicador permite a los usuarios seleccionar diferentes tipos de medias móviles y fuentes de precios para calcular y mostrar el cambio porcentual en el precio durante un período especificado
Características:
Selección de Fuente de Precio: Elige entre cierre, apertura, alto, o bajo para los cálculos de precios
Tipos de Media Móvil: Selecciona entre SMA, WMA, EMA, HMA, o VWMA para determinar la media móvil utilizada en el cálculo de la velocidad promedio
Coloreado Dinámico: El color de la línea de la media móvil cambia según la velocidad de cambio de precio
Aumento de Velocidad: Cuando la velocidad del cambio de precio está aumentando, la media móvil se colorea según upColor definido por el usuario
Disminución de Velocidad: Cuando la velocidad está disminuyendo, la media móvil se colorea según downColor definido por el usuario
Posición Neutral: Coloreado adicional para escenarios donde el precio está por encima o por debajo de la media móvil, pero no cumple con las condiciones de aumento/disminución
Factor de Refuerzo: Ajusta la sensibilidad del cálculo del cambio de velocidad
Uso:
Parámetros de Entrada:
Define el Período para establecer la ventana de retroceso para calcular la velocidad
Elige la Fuente de Precio para determinar qué datos de precios usar
Selecciona el Tipo de Media Móvil y ajusta la Longitud de EMA para la comparación
Interpretación:
El indicador traza la media móvil seleccionada con colores dinámicos basados en la velocidad calculada del cambio de precio
Los cambios positivos y negativos en la velocidad se indican con diferentes colores, proporcionando una representación visual del momento y la fuerza de la tendencia del precio
Nota: Este script es el resultado de un desarrollo y pruebas extensivas. Se agradecen mucho sus comentarios y contribuciones
Description:
This Pine Script indicator is designed to dynamically analyze and visualize the speed of price changes on a TradingView chart. The indicator allows users to select different moving average types and price sources to compute and display the percentage change in price over a specified period
Features:
Price Source Selection: Choose from close, open, high, or low for price calculations
Moving Average Types: Select from SMA, WMA, EMA, HMA, or VWMA to determine the moving average used for computing average speed
Dynamic Coloring: The moving average line's color changes based on the speed of price change
Increasing Speed: When the price change speed is increasing, the moving average is colored according to the user-defined upColor
Decreasing Speed: When the speed is decreasing, the moving average is colored according to the user-defined downColor
Neutral Position: Additional coloring for scenarios where the price is above or below the moving average but not meeting the increase/decrease conditions
Reinforcement Factor: Adjusts the sensitivity of the speed change calculation
Usage:
Input Parameters:
Set the Period to define the lookback window for calculating speed
Choose the Price Source to determine which price data to use
Select the Moving Average Type and adjust the EMA Length for comparison
Interpretation:
The indicator plots the selected moving average with dynamic colors based on the calculated speed of price change
Positive and negative changes in speed are indicated by different colors, providing a visual representation of price momentum and trend strength
Note: This script is the result of extensive development and testing. Your feedback and contributions are highly appreciated
Hullinger Bands [AlgoAlpha]🎯 Introducing the Hullinger Bands Indicator ! 🎯
Maximize your trading precision with the Hullinger Bands , an advanced tool that combines the strengths of Hull Moving Averages and Bollinger Bands for a robust trading strategy. This indicator is designed to give traders clear and actionable signals, helping you identify trend changes and optimize entry and exit points with confidence.
✨ Key Features :
📊 Dual-Length Settings : Customize your main and TP signal lengths to fit your trading style.
🎯 Enhanced Band Accuracy : The indicator uses a modified standard deviation calculation for more reliable volatility measures.
🟢🔴 Color-Coded Signals : Easily spot bullish and bearish conditions with customizable color settings.
💡 Dynamic Alerts : Get notified for trend changes and TP signals with built-in alert conditions.
🚀 Quick Guide to Using Hullinger Bands
1. ⭐ Add the Indicator : Add the indicator to favorites by pressing the star icon. Adjust the settings to align with your trading preferences, such as length and multiplier values.
2. 🔍 Analyze Readings : Observe the color-coded bands for real-time insights into market conditions. When price is closer to the upper bands it suggests an overbought market and vice versa if price is closer to the lower bands. Price being above or below the basis can be a trend indicator.
3. 🔔 Set Alerts : Activate alerts for bullish/bearish trends and TP signals, ensuring you never miss a crucial market movement.
🔍 How It Works
The Hullinger Bands indicator calculates a central line (basis) using a simple moving average, while the upper and lower bands are derived from a modified standard deviation of price movements. Unlike the traditional Bollinger Bands, the standard deviation in the Hullinger bands uses the Hull Moving Average instead of the Simple Moving Average to calculate the average variance for standard deviation calculations, this give the modified standard deviation output "memory" and the bands can be observed expanding even after the price has started consolidating, this can identify when the trend has exhausted better as the distance between the price and the bands is more apparent. The color of the bands changes dynamically, based on the proximity of the closing price to the bands, providing instant visual cues for market sentiment. The indicator also plots TP signals when price crosses these bands, allowing traders to make informed decisions. Additionally, alerts are configured to notify you of crucial market shifts, ensuring you stay ahead of the curve.
Polynomial Regression Keltner Channel [ChartPrime]Polynomial Regression Keltner Channel
⯁ OVERVIEW
The Polynomial Regression Keltner Channel [ ChartPrime ] indicator is an advanced technical analysis tool that combines polynomial regression with dynamic Keltner Channels. This indicator provides traders with a sophisticated method for trend analysis, volatility assessment, and identifying potential overbought and oversold conditions.
◆ KEY FEATURES
Polynomial Regression: Uses polynomial regression for trend analysis and channel basis calculation.
Dynamic Keltner Channels: Implements Keltner Channels with adaptive volatility-based bands.
Overbought/Oversold Detection: Provides visual cues for potential overbought and oversold market conditions.
Trend Identification: Offers clear trend direction signals and change indicators.
Multiple Band Levels: Displays four levels of upper and lower bands for detailed market structure analysis.
Customizable Visualization: Allows toggling of additional indicator lines and signals for enhanced chart analysis.
◆ FUNCTIONALITY DETAILS
⬥ Polynomial Regression Calculation:
Implements a custom polynomial regression function for trend analysis.
Serves as the basis for the Keltner Channel, providing a smoothed centerline.
//@function Calculates polynomial regression
//@param src (series float) Source price series
//@param length (int) Lookback period
//@returns (float) Polynomial regression value for the current bar
polynomial_regression(src, length) =>
sumX = 0.0
sumY = 0.0
sumXY = 0.0
sumX2 = 0.0
sumX3 = 0.0
sumX4 = 0.0
sumX2Y = 0.0
n = float(length)
for i = 0 to n - 1
x = float(i)
y = src
sumX += x
sumY += y
sumXY += x * y
sumX2 += x * x
sumX3 += x * x * x
sumX4 += x * x * x * x
sumX2Y += x * x * y
slope = (n * sumXY - sumX * sumY) / (n * sumX2 - sumX * sumX)
intercept = (sumY - slope * sumX) / n
n - 1 * slope + intercept
⬥ Dynamic Keltner Channel Bands:
Calculates ATR-based volatility for dynamic band width adjustment.
Uses a base multiplier and adaptive volatility factor for flexible band calculation.
Generates four levels of upper and lower bands for detailed market structure analysis.
atr = ta.atr(length)
atr_sma = ta.sma(atr, 10)
// Calculate Keltner Channel Bands
dynamicMultiplier = (1 + (atr / atr_sma)) * baseATRMultiplier
volatility_basis = (1 + (atr / atr_sma)) * dynamicMultiplier * atr
⬥ Overbought/Oversold Indicator line and Trend Line:
Calculates an OB/OS value based on the price position relative to the innermost bands.
Provides visual representation through color gradients and optional signal markers.
Determines trend direction based on the polynomial regression line movement.
Generates signals for trend changes, overbought/oversold conditions, and band crossovers.
◆ USAGE
Trend Analysis: Use the color and direction of the basis line to identify overall trend direction.
Volatility Assessment: The width and expansion/contraction of the bands indicate market volatility.
Support/Resistance Levels: Multiple band levels can serve as potential support and resistance areas.
Overbought/Oversold Trading: Utilize OB/OS signals for potential reversal or pullback trades.
Breakout Detection: Monitor price crossovers of the outermost bands for potential breakout trades.
⯁ USER INPUTS
Length: Sets the lookback period for calculations (default: 100).
Source: Defines the price data used for calculations (default: HLC3).
Base ATR Multiplier: Adjusts the base width of the Keltner Channels (default: 0.1).
Indicator Lines: Toggle to show additional indicator lines and signals (default: false).
⯁ TECHNICAL NOTES
Implements a custom polynomial regression function for efficient trend calculation.
Uses dynamic ATR-based volatility adjustment for adaptive channel width.
Employs color gradients and opacity levels for intuitive visual representation of market conditions.
Utilizes Pine Script's plotchar function for efficient rendering of signals and heatmaps.
The Polynomial Regression Keltner Channel indicator offers traders a sophisticated tool for trend analysis, volatility assessment, and trade signal generation. By combining polynomial regression with dynamic Keltner Channels, it provides a comprehensive view of market structure and potential trading opportunities. The indicator's adaptability to different market conditions and its customizable nature make it suitable for various trading styles and timeframes.
Jurik Price Bands and Range Box [BigBeluga]Jurik Price Bands and Range Box
The Jurik Price Bands and Range Box - BigBeluga indicator is an advanced technical analysis tool that combines Jurik Moving Average (JMA) based price bands with a dynamic range box. This versatile indicator is designed to help traders identify trends, potential reversal points, and price ranges over a specified period.
🔵 KEY FEATURES
● Jurik Price Bands
Utilizes Jurik Moving Average for smoother, more responsive bands
//@function Calculates Jurik Moving Average
//@param src (float) Source series
//@param len (int) Length parameter
//@param ph (int) Phase parameter
//@returns (float) Jurik Moving Average value
jma(src, len, ph) =>
var float jma = na
var float e0 = 0.0
var float e1 = 0.0
var float e2 = 0.0
phaseRatio = ph < -100 ? 0.5 : ph > 100 ? 2.5 : ph / 100 + 1.5
beta = 0.45 * (len - 1) / (0.45 * (len - 1) + 2)
alpha = math.pow(beta, phaseRatio)
e0 := (1 - alpha) * src + alpha * nz(e0 )
e1 := (src - e0) * (1 - beta) + beta * nz(e1 )
e2 := (e0 + phaseRatio * e1 - nz(jma )) * math.pow(1 - alpha, 2) + math.pow(alpha, 2) * nz(e2 )
jma := e2 + nz(jma )
jma
Consists of an upper band, lower band, and a smooth price line
Bands adapt to market volatility using Jurik MA on ATR
Helps identify potential trend reversal points and overextended market conditions
● Dynamic Range Box
Displays a box representing the price range over a specified period
Calculates high, low, and mid-range prices
Option for adaptive mid-range calculation based on average price
Provides visual representation of recent price action and volatility
● Price Position Indicator
Shows current price position relative to the mid-range
Displays percentage difference from mid-range
Color-coded for quick trend identification
● Dashboard
Displays key information including current price, range high, mid, and low
Shows trend direction based on price position relative to mid-range
Provides at-a-glance market context
🔵 HOW TO USE
● Trend Identification
Use the middle of the Range Box as the primary trend reference point
Price above the middle of the Range Box indicates an uptrend
Price below the middle of the Range Box indicates a downtrend
The bar on the right shows the percentage distance of the close from the middle of the box
This percentage indicates both trend direction and strength
Refer to the dashboard for quick trend direction confirmation
● Potential Reversal Points
Upper and lower Jurik Bands can indicate potential trend reversal points
Price reaching or exceeding these bands may suggest overextended conditions
Watch for price reaction at these levels for possible trend shifts or pullbacks
Range Box high and low can serve as additional reference points for price action
● Range Analysis
Use Range Box to gauge recent price volatility and trading range
Mid-range line can act as a pivot point for short-term price movements
Percentage difference from mid-range helps quantify price position strength
🔵 CUSTOMIZATION
The Jurik Price Bands and Range Box indicator offers several customization options:
Adjust Range Box length for different timeframe analysis
Toggle between standard and adaptive mid-range calculation
Standard:
Adaptive:
Modify Jurik MA length and deviation for band calculation
Toggle visibility of Jurik Bands
By fine-tuning these settings, traders can adapt the indicator to various market conditions and personal trading strategies.
The Jurik Price Bands and Range Box indicator provides a multi-faceted approach to market analysis, combining trend identification, potential reversal point detection, and range analysis in one comprehensive tool. The use of Jurik Moving Average offers a smoother, more responsive alternative to traditional moving averages, potentially providing more accurate signals.
This indicator can be particularly useful for traders looking to understand market context quickly, identify potential reversal points, and assess current market volatility. The combination of dynamic bands, range analysis, and the informative dashboard provides traders with a rich set of data points to inform their trading decisions.
As with all technical indicators, it's recommended to use the Jurik Price Bands and Range Box in conjunction with other forms of analysis and within the context of a well-defined trading strategy. While this indicator provides valuable insights, it should be considered alongside other factors such as overall market conditions, volume, and fundamental analysis when making trading decisions.
Hurst Exponent SmoothedDescription:
The Hurst Exponent Smoothed indicator provides a dynamic analysis of market behavior by calculating the Hurst Exponent over a specified lookback period. This tool is especially useful for identifying whether a market is trending or mean-reverting.
Key Features:
Lookback Period: Set to 90 by default, this parameter controls how many periods the indicator considers for its calculations. Adjusting this value allows you to fine-tune the sensitivity of the indicator to recent price action.
Market Analysis: The Hurst Exponent gives insights into the nature of price movement:
A value near 0.5 suggests a random walk, indicating that the market is unpredictable.
Values above 0.5 indicate a trending market where price movements exhibit persistence, suggesting that the current trend may continue.
Values below 0.5 point to a mean-reverting market, where price movements tend to reverse, making it a potential signal for contrarian trading strategies.
Usage:
Trend Following: When the Hurst Exponent is consistently above 0.5, it may indicate a strong trend. Traders can use this information to align with the current market direction.
Mean Reversion: If the Hurst Exponent falls below 0.5, it could signal that the market is more likely to revert to the mean, offering opportunities for mean-reversion strategies.
Visuals:
The indicator displays a smooth line oscillating between values, giving traders a clear visual cue for the current market condition.
The script is optimized for various timeframes, as demonstrated on the BTCUSD pair on a 270-minute chart. Traders can adapt the lookback period based on their trading style and the specific asset being analyzed.
Open Source: This script is open-source and free to use. Feel free to customize and adapt it to your needs!
Relative Strength NSE:Nifty for TF CommunityThis is a modified version of the Relative Strength Indicator (No confusion with RSI) originally by in.tradingview.com/u/modhelius/ based on The indicator calculates the relative strength between a selected stock and a comparative symbol (typically a market index like NSE:NIFTY).
Relative strength (RS) compares the performance of two assets, typically a stock and a market index, by dividing their percentage changes over a specific period. This indicator oscillates around zero:
- Greater than 0: Indicates the stock has outperformed the comparative symbol.
- Less than 0: Indicates the stock has underperformed the comparative symbol.
Key Enhancements:
This Relative Strength Indicator offers practical features to automatically adjusts the comparison period based on the chart’s timeframe, whether daily, weekly, or monthly, so you don’t have to make manual changes.
Secondly, if the selected stock has fewer bars than the comparison period, the indicator uses the shorter period to ensure accurate results. The default colors are hardcoded so they look fine for both dark and white themes, but of course can be changed.
You can customise the settings to fit your needs. The default period is set to 50/52, and the comparative symbol is NSE:NIFTY, but both can be changed. There’s also an option to toggle a moving average on or off, providing a smoother visual representation.
Fibonacci-Only StrategyFibonacci-Only Strategy
This script is a custom trading strategy designed for traders who leverage Fibonacci retracement levels to identify potential trade entries and exits. The strategy is versatile, allowing users to trade across multiple timeframes, with built-in options for dynamic stop loss, trailing stops, and take profit levels.
Key Features:
Custom Fibonacci Levels:
This strategy calculates three specific Fibonacci retracement levels: 19%, 82.56%, and the reverse 19% level. These levels are used to identify potential areas of support and resistance where price reversals or breaks might occur.
The Fibonacci levels are calculated based on the highest and lowest prices within a 100-bar period, making them dynamic and responsive to recent market conditions.
Dynamic Entry Conditions:
Touch Entry: The script enters long or short positions when the price touches specific Fibonacci levels and confirms the move with a bullish (for long) or bearish (for short) candle.
Break Entry (Optional): If the "Use Break Strategy" option is enabled, the script can also enter positions when the price breaks through Fibonacci levels, providing more aggressive entry opportunities.
Stop Loss Management:
The script offers flexible stop loss settings. Users can choose between a fixed percentage stop loss or an ATR-based stop loss, which adjusts based on market volatility.
The ATR (Average True Range) stop loss is multiplied by a user-defined factor, allowing for tailored risk management based on market conditions.
Trailing Stop Mechanism:
The script includes an optional trailing stop feature, which adjusts the stop loss level as the market moves in favor of the trade. This helps lock in profits while allowing the trade to run if the trend continues.
The trailing stop is calculated as a percentage of the difference between the entry price and the current market price.
Multiple Take Profit Levels:
The strategy calculates seven take profit levels, each at incremental percentages above (for long trades) or below (for short trades) the entry price. This allows for gradual profit-taking as the market moves in the trade's favor.
Each take profit level can be customized in terms of the percentage of the position to be closed, providing precise control over exit strategies.
Strategy Backtesting and Results:
Realistic Backtesting:
The script has been backtested with realistic account sizes, commission rates, and slippage settings to ensure that the results are applicable to actual trading scenarios.
The backtesting covers various timeframes and markets to ensure the strategy's robustness across different trading environments.
Default Settings:
The script is published with default settings that have been optimized for general use. These settings include a 15-minute timeframe, a 1.0% stop loss, a 2.0 ATR multiplier for stop loss, and a 1.5% trailing stop.
Users can adjust these settings to better fit their specific trading style or the market they are trading.
How It Works:
Long Entry Conditions:
The strategy enters a long position when the price touches the 19% Fibonacci level (from high to low) or the reverse 19% level (from low to high) and confirms the move with a bullish candle.
If the "Use Break Strategy" option is enabled, the script will also enter a long position when the price breaks below the 19% Fibonacci level and then moves back up, confirming the break with a bullish candle.
Short Entry Conditions:
The strategy enters a short position when the price touches the 82.56% Fibonacci level and confirms the move with a bearish candle.
If the "Use Break Strategy" option is enabled, the script will also enter a short position when the price breaks above the 82.56% Fibonacci level and then moves back down, confirming the break with a bearish candle.
Stop Loss and Take Profit Logic:
The stop loss for each trade is calculated based on the selected method (fixed percentage or ATR-based). The strategy then manages the trade by either trailing the stop or taking profit at predefined levels.
The take profit levels are set at increments of 0.5% above or below the entry price, depending on whether the position is long or short. The script gradually exits the trade as these levels are hit, securing profits while minimizing risk.
Usage:
For Fibonacci Traders:
This script is ideal for traders who rely on Fibonacci retracement levels to find potential trade entries and exits. The script automates the process, allowing traders to focus on market analysis and decision-making.
For Trend and Swing Traders:
The strategy's flexibility in handling both touch and break entries makes it suitable for trend-following and swing trading strategies. The multiple take profit levels allow traders to capture profits in trending markets while managing risk.
Important Notes:
Originality: This script uniquely combines Fibonacci retracement levels with dynamic stop loss management and multiple take profit levels. It is not just a combination of existing indicators but a thoughtful integration designed to enhance trading performance.
Disclaimer: Trading involves risk, and it is crucial to test this script in a demo account or through backtesting before applying it to live trading. Users should ensure that the settings align with their individual risk tolerance and trading strategy.
