Standardized Orderflow [AlgoAlpha]Introducing the Standardized Orderflow indicator by AlgoAlpha. This innovative tool is designed to enhance your trading strategy by providing a detailed analysis of order flow and velocity. Perfect for traders who seek a deeper insight into market dynamics, it's packed with features that cater to various trading styles. 🚀📊
Key Features:
📈 Order Flow Analysis: At its core, the indicator analyzes order flow, distinguishing between bullish and bearish volume within a specified period. It uses a unique standard deviation calculation for normalization, offering a clear view of market sentiment.
🔄 Smoothing Options: Users can opt for a smoothed representation of order flow, using a Hull Moving Average (HMA) for a more refined analysis.
🌪️ Velocity Tracking: The indicator tracks the velocity of order flow changes, providing insights into the market's momentum.
🎨 Customizable Display: Tailor the display mode to focus on either order flow, order velocity, or both, depending on your analysis needs.
🔔 Alerts for Critical Events: Set up alerts for crucial market events like crossover/crossunder of the zero line and overbought/oversold conditions.
How to Use:
1. Setup: Easily configure the indicator to match your trading strategy with customizable input parameters such as order flow period, smoothing length, and moving average types.
2. Interpretation: Watch for bullish and bearish columns in the order flow chart, utilize the Heiken Ashi RSI candle calculation, and look our for reversal notations for additional market insights.
3. Alerts: Stay informed with real-time alerts for key market events.
Code Explanation:
- Order Flow Calculation:
The core of the indicator is the calculation of order flow, which is the sum of volumes for bullish or bearish price movements. This is followed by normalization using standard deviation.
orderFlow = math.sum(close > close ? volume : (close < close ? -volume : 0), orderFlowWindow)
orderFlow := useSmoothing ? ta.hma(orderFlow, smoothingLength) : orderFlow
stdDev = ta.stdev(orderFlow, 45) * 1
normalizedOrderFlow = orderFlow/(stdDev + stdDev)
- Velocity Calculation:
The velocity of order flow changes is calculated using moving averages, providing a dynamic view of market momentum.
velocityDiff = ma((normalizedOrderFlow - ma(normalizedOrderFlow, velocitySignalLength, maTypeInput)) * 10, velocityCalcLength, maTypeInput)
- Display Options:
Users can choose their preferred display mode, focusing on either order flow, order velocity, or both.
orderFlowDisplayCond = displayMode != "Order Velocity" ? display.all : display.none
wideDisplayCond = displayMode != "Order Flow" ? display.all : display.none
- Reversal Indicators and Divergences:
The indicator also includes plots for potential bullish and bearish reversals, as well as regular and hidden divergences, adding depth to your market analysis.
bullishReversalCond = reversalType == "Order Flow" ? ta.crossover(normalizedOrderFlow, -1.5) : (reversalType == "Order Velocity" ? ta.crossover(velocityDiff, -4) : (ta.crossover(velocityDiff, -4) or ta.crossover(normalizedOrderFlow, -1.5)) )
bearishReversalCond = reversalType == "Order Flow" ? ta.crossunder(normalizedOrderFlow, 1.5) : (reversalType == "Order Velocity" ? ta.crossunder(velocityDiff, 4) : (ta.crossunder(velocityDiff, 4) or ta.crossunder(normalizedOrderFlow, 1.5)) )
In summary, the Standardized Orderflow indicator by AlgoAlpha is a versatile tool for traders aiming to enhance their market analysis. Whether you're focused on short-term momentum or long-term trends, this indicator provides valuable insights into market dynamics. 🌟📉📈
التحليل الفني
Standardized Median Proximity [AlgoAlpha]Introducing the Standardized Median Proximity by AlgoAlpha 🚀📊 – a dynamic tool designed to enhance your trading strategy by analyzing price fluctuations relative to the median value. This indicator is built to provide clear visual cues on the price deviation from its median, allowing for a nuanced understanding of market trends and potential reversals.
🔍 Key Features:
1. 📈 Median Tracking: At the core of this indicator is the calculation of the median price over a specified lookback period. By evaluating the current price against this median, the indicator provides a sense of whether the price is trending above or below its recent median value.
medianValue = ta.median(priceSource, lookbackLength)
2. 🌡️ Normalization of Price Deviation: The deviation of the price from the median is normalized using standard deviation, ensuring that the indicator's readings are consistent and comparable across different time frames and instruments.
standardDeviation = ta.stdev(priceDeviation, 45)
normalizedValue = priceDeviation / (standardDeviation + standardDeviation)
3. 📌 Boundary Calculations: The indicator sets upper and lower boundaries based on the normalized values, helping to identify overbought and oversold conditions.
upperBoundary = ta.ema(positiveValues, lookbackLength) + ta.stdev(positiveValues, lookbackLength) * stdDevMultiplier
lowerBoundary = ta.ema(negativeValues, lookbackLength) - ta.stdev(negativeValues, lookbackLength) * stdDevMultiplier
4. 🎨 Visual Appeal and Clarity: With carefully chosen colors, the plots provide an intuitive and clear representation of market states. Rising trends are indicated in a shade of green, while falling trends are shown in red.
5. 🚨 Alert Conditions: Stay ahead of market movements with customizable alerts for trend shifts and impulse signals, enabling timely decisions.
alertcondition(ta.crossover(normalizedValue, 0), "Bullish Trend Shift", "Median Proximity Crossover Zero Line")
🔧 How to Use:
- 🎯 Set your preferred lookback lengths and standard deviation multipliers to tailor the indicator to your trading style.
- 💹 Utilize the boundary plots to understand potential overbought or oversold conditions.
- 📈 Analyze the color-coded column plots for quick insights into the market's direction relative to the median.
- ⏰ Set alerts to notify you of significant trend changes or conditions that match your trading criteria.
Basic Logic Explained:
- The indicator first calculates the median of the selected price source over your chosen lookback period. This median serves as a baseline for measuring price deviation.
- It then standardizes this deviation by dividing it by the standard deviation of the price deviation over a 45-period lookback, creating a normalized value.
- Upper and lower boundaries are computed using the exponential moving average (EMA) and standard deviation of these normalized values, adjusted by your selected multiplier.
- Finally, color-coded plots provide a visual representation of these calculations, offering at-a-glance insights into market conditions.
Remember, while this tool offers valuable insights, it's crucial to use it as part of a comprehensive trading strategy, complemented by other analysis and indicators. Happy trading!
🚀
Volume-Trend Sentiment (VTS) [AlgoAlpha]Introducing the Volume-Trend Sentiment by AlgoAlpha, a unique tool designed for traders who seek a deeper understanding of market sentiment through volume analysis. This innovative indicator offers a comprehensive view of market dynamics, blending volume trends with price action to provide an insightful perspective on market sentiment. 🚀📊
Key Features:
1. 🌟 Dual Trend Analysis: This indicator combines the concepts of price movement and volume, offering a multi-dimensional view of market sentiment. By analyzing the relationship between the closing and opening prices relative to volume, it provides a nuanced understanding of market dynamics.
2. 🎨 Customizable Settings: Flexibility is at the core of this indicator. Users can adjust various parameters such as the length of the volume trend, standard deviation, and SMA length, ensuring a tailored experience to match individual trading strategies.
3. 🌈 Visual Appeal: With options to display noise, the main plot, and background colors, the indicator is not only informative but also visually engaging. Users can choose their preferred colors for up and down movements, making the analysis more intuitive.
4. ⚠️ Alerts for Key Movements: Stay ahead of market changes with built-in alert conditions. These alerts notify traders when the Volume-Trend Sentiment crosses above or below the midline, signaling potential shifts in market momentum.
How It Works:
The core of the indicator is the calculation of the Volume-Trend Sentiment (VTS). It is computed by subtracting a double-smoothed Exponential Moving Average (EMA) of the price-volume ratio from a single EMA of the same ratio. This method highlights the trend in volume relative to price changes.
volumeTrend = ta.ema((close - open) / volume, volumeTrendLength) - ta.ema(ta.ema((close - open) / volume, volumeTrendLength), volumeTrendLength)
To manage volatility and noise in the volume trend, the indicator employs a standard deviation calculation and a Simple Moving Average (SMA). This smoothing process helps in identifying the true underlying trend by filtering out extreme fluctuations.
standardDeviation = ta.stdev(volumeTrend, standardDeviationLength) * 1
smoothedVolumeTrend = ta.sma(volumeTrend / (standardDeviation + standardDeviation), smaLength)
A unique feature is the dynamic background color, which changes based on the sentiment level. This visual cue instantly communicates the market's bullish or bearish sentiment, enhancing the decision-making process.
getColor(volumeTrendValue) =>
sentimentLevel = math.abs(volumeTrendValue * 10)
baseTransparency = 60 // Base transparency level
colorTransparency = math.max(90 - sentimentLevel * 5, baseTransparency)
volumeTrendValue > 0 ? color.new(upColor, colorTransparency) : color.new(downColor, colorTransparency)
bgcolor(showBackgroundColor ? getColor(smoothedVolumeTrend) : na)
In summary, the Volume-Trend Sentiment by AlgoAlpha is a comprehensive tool that enhances market analysis through a unique blend of volume and price trends. Whether you're a seasoned trader or just starting out, this indicator offers valuable insights into market sentiment and helps in making informed trading decisions. 📈📉🔍🌐
Median Proximity Percentile [AlgoAlpha]📊🚀 Introducing the "Median Proximity Percentile" by AlgoAlpha, a dynamic and sophisticated trading indicator designed to enhance your market analysis! This tool efficiently tracks median price proximity over a specified lookback period and finds it's percentile between 2 dynamic standard deviation bands, offering valuable insights for traders looking to make informed decisions.
🌟 Key Features:
Color-Coded Visuals: Easily interpret market trends with color-coded plots indicating bullish or bearish signals.
Flexibility: Customize the indicator with your preferred price source and lookback lengths to suit your trading strategy.
Advanced Alert System: Stay ahead with customizable alerts for key trend shifts and market conditions.
🔍 Deep Dive into the Code:
Choose your preferred price data source and define lookback lengths for median and EMA calculations. priceSource = input.source(close, "Source") and lookbackLength = input.int(21, minval = 1, title = "Lookback Length")
Calculate median value, price deviation, and normalized value to analyze market position relative to the median. medianValue = ta.median(priceSource, lookbackLength)
Determine upper and lower boundaries based on standard deviation and EMA. upperBoundary = ta.ema(positiveValues, lookbackLength) + ta.stdev(positiveValues, lookbackLength) * stdDevMultiplier
lowerBoundary = ta.ema(negativeValues, lookbackLength) - ta.stdev(negativeValues, lookbackLength) * stdDevMultiplier
Compute the percentile value to track market position within these boundaries. percentileValue = 100 * (normalizedValue - lowerBoundary)/(upperBoundary - lowerBoundary) - 50
Enhance your analysis with Hull Moving Average (HMA) for smoother trend identification. emaValue = ta.hma(percentileValue, emaLookbackLength)
Visualize trends with color-coded plots and characters for easy interpretation. plotColor = percentileValue > 0 ? colorUp : percentileValue < 0 ? colorDown : na
Set up advanced alerts to stay informed about significant market movements. // Alerts
alertcondition(ta.crossover(emaValue, 0), "Bullish Trend Shift", "Median Proximity Percentile Crossover Zero Line")
alertcondition(ta.crossunder(emaValue, 0), "Bearish Trend Shift", "Median Proximity Percentile Crossunder Zero Line")
alertcondition(ta.crossunder(emaValue,emaValue ) and emaValue > 90, "Bearish Reversal", "Median Proximity Percentile Bearish Reversal")
alertcondition(ta.crossunder(emaValue ,emaValue) and emaValue < -90, "Bullish Reversal", "Median Proximity Percentile Bullish Reversal")
🚨 Remember, the "Median Proximity Percentile " is a tool to aid your analysis. It’s essential to combine it with other analysis techniques and market understanding for best results. Happy trading! 📈📉
Momentum Bias Index [AlgoAlpha]Description:
The Momentum Bias Index by AlgoAlpha is designed to provide traders with a powerful tool for assessing market momentum bias. The indicator calculates the positive and negative bias of momentum to gauge which one is greater to determine the trend.
Key Features:
Comprehensive Momentum Analysis: The script aims to detect momentum-trend bias, typically when in an uptrend, the momentum oscillator will oscillate around the zero line but will have stronger positive values than negative values, similarly for a downtrend the momentum will have stronger negative values. This script aims to quantify this phenomenon.
Overlay Mode: Traders can choose to overlay the indicator on the price chart for a clear visual representation of market momentum.
Take-profit Signals: The indicator includes signals to lock in profits, they appear as labels in overlay mode and as crosses when overlay mode is off.
Impulse Boundary: The script includes an impulse boundary, the impulse boundary is a threshold to visualize significant spikes in momentum.
Standard Deviation Multiplier: Users can adjust the standard deviation multiplier to increase the noise tolerance of the impulse boundary.
Bias Length Control: Traders can customize the length for evaluating bias, enabling them to fine-tune the indicator according to their trading preferences. A higher length will give a longer-term bias in trend.
BTC Supply in Profits and Losses (BTCSPL) [AlgoAlpha]Description:
🚨The BTC Supply in Profits and Losses (BTCSPL) indicator, developed by AlgoAlpha, offers traders insights into the distribution of INDEX:BTCUSD addresses between profits and losses based on INDEX:BTCUSD on-chain data.
Features:
🔶Alpha Decay Adjustment: The indicator provides the option to adjust the data against Alpha Decay, this compensates for the reduction in clarity of the signal over time.
🔶Rolling Change Display: The indicator enables the display of the rolling change in the distribution of Bitcoin addresses between profits and losses, aiding in identifying shifts in market sentiment.
🔶BTCSPL Value Score: The indicator optionally displays a value score ranging from -1 to 1, traders can use this to carry out strategic dollar cost averaging and reverse dollar cost averaging based on the implied value of bitcoin.
🔶Reversal Signals: The indicator gives long-term reversal signals denoted as "▲" and "▼" for the price of bitcoin based on oversold and overbought conditions of the BTCSPL.
🔶Moving Average Visualization: Traders can choose to display a moving average line, allowing for better trend identification.
How to Use ☝️ (summary):
Alpha Decay Adjustment: Toggle this option to enable or disable Alpha Decay adjustment for a normalized representation of the data.
Moving Average: Toggle this option to show or hide the moving average line, helping traders identify trends.
Short-Term Trend: Enable this option to display the short-term trend based on the Aroon indicator.
Rolling Change: Choose this option to visualize the rolling change in the distribution between profits and losses.
BTCSPL Value Score: Activate this option to show the BTCSPL value score, ranging from -1 to 1, 1 implies that bitcoin is extremely cheap(buy) and -1 implies bitcoin is extremely expensive(sell).
Reversal Signals: Gives binary buy and sell signals for the long term
Volume Exhaustion [AlgoAlpha]Introducing the Volume Exhaustion by AlgoAlpha, is an innovative tool that aims to identify potential exhaustion or peaks in trading volume , which can be a key indicator for reversals or continuations in market trends 🔶.
Key Features:
Signal Plotting : A special feature is the plotting of 'Release' signals, marked by orange diamonds, indicating points where the exhaustion index crosses under its previous value and is above a certain boundary. This could signify critical market points 🚨.
Calculation Length Customization : Users can adjust the calculation and Signal lengths to suit their trading style, allowing for flexibility in analysis over different time periods. ☝️
len = input(50, "Calculation Length")
len2 = input(8, "Signal Length")
Visual Appeal : The script offers customizable colors (col for the indicator and col1 for the background) enhancing the visual clarity and user experience 💡.
col = input.color(color.white, "Indicator Color")
col1 = input.color(color.gray, "Background Color")
Advanced Volume Processing : At its core, the script utilizes a combination of Hull Moving Average (HMA) and Exponential Moving Average (EMA) applied to the volume data. This sophisticated approach helps in smoothing out the volume data and reducing lag.
sv = ta.hma(volume, len)
ssv = ta.hma(sv, len)
Volume Exhaustion Detection : The script calculates the difference between the volume and its smoothed version, normalizing this value to create an exhaustion index (fff). Positive values of this index suggest potential volume exhaustion.
f = sv-ssv
ff = (f) / (ta.ema(ta.highest(f, len) - ta.lowest(f, len), len)) * 100
fff = ff > 0 ? ff : 0
Boundary and Zero Line : The script includes a boundary line (boundary) and a zero line (zero), with the area between them filled for enhanced visual interpretation. This helps in assessing the relative position of the exhaustion index.
Customizable Background : The script colors the background of the chart for better readability and to distinguish the indicator’s area clearly.
Overall, Volume Exhaustion is designed for traders who focus on volume analysis. It provides a unique perspective on volume trends and potential exhaustion points, which can be crucial for making informed trading decisions. This script is a valuable addition for traders looking to enhance their trading experience with advanced volume analysis tools.
Squeeze & Release [AlgoAlpha]Introduction:
💡The Squeeze & Release by AlgoAlpha is an innovative tool designed to capture price volatility dynamics using a combination of EMA-based calculations and ATR principles. This script aims to provide traders with clear visual cues to spot potential market squeezes and release scenarios. Hence it is important to note that this indicator shows information on volatility, not direction.
Core Logic and Components:
🔶EMA Calculations: The script utilizes the Exponential Moving Average (EMA) in multiple ways to smooth out the data and provide indicator direction. There are specific lengths for the EMAs that users can modify as per their preference.
🔶ATR Dynamics: Average True Range (ATR) is a core component of the script. The differential between the smoothed ATR and its EMA is used to plot the main line. This differential, when represented as a percentage of the high-low range, provides insights into volatility.
🔶Squeeze and Release Detection: The script identifies and highlights squeeze and release scenarios based on the crossover and cross-under events between our main line and its smoothed version. Squeezes are potential setups where the market may be consolidating, and releases indicate a potential breakout or breakdown.
🔶Hyper Squeeze Detection: A unique feature that detects instances when the main line is rising consistently over a user-defined period. Hyper squeeze marks areas of extremely low volatility.
Visual Components:
The main line (ATR-based) changes color depending on its position relative to its EMA.
A middle line plotted at zero level which provides a quick visual cue about the main line's position. If the main line is above the zero level, it indicates that the price is squeezing on a longer time horizon, even if the indicator indicates a shorter-term release.
"𝓢" and "𝓡" characters are plotted to represent 'Squeeze' and 'Release' scenarios respectively.
Standard Deviation Bands are plotted to help users gauge the extremity and significance of the signal from the indicator, if the indicator is closer to either the upper or lower deviation bands, this means that statistically, the current value is considered to be more extreme and as it is further away from the mean where the indicator is oscillating at for the majority of the time. Thus indicating that the price has experienced an unusual amount or squeeze or release depending on the value of the indicator.
Usage Guidelines:
☝️Traders can use the script to:
Identify potential consolidation (squeeze) zones.
Gauge potential breakout or breakdown scenarios (release).
Fine-tune their entries and exits based on volatility.
Adjust the various lengths provided in the input for better customization based on individual trading styles and the asset being traded.
Bitcoin/Hash Rate Oscillator & MAWhat it does:
Finds the ratio of BTC price to the Hash Rate with an additional MA applied to find changes in volatility with relative context. Best used as a two lines cross indicator.
When the ratio of price to hashrate increases, it may be a sign miners cannot or will not sell as much.
When the ratio decreases, it may indicate miners have more capability and/or incentive to sell.
How it works:
The indicator uses a MA applied to the hashrate(first MA input), then finds the difference between it and the actual hash rate. Then it finds the STD of that to create an oscillating value. BTC is divided by said value. Then a second MA is applied to that ratio(second MA input)
Alpha Schaff [AlgoAlpha]Description:
The Alpha Schaff indicator is a proprietary technical analysis tool that incorporates a modified version of the Schaff Trend Cycle (STC) to generate trading signals. The indicator is designed to identify potential overbought and oversold conditions in the market. It utilizes a combination of exponential moving averages (EMAs) and price volatility to generate trading signals. The plot of the indicator is derived from the opening price adjusted by a factor that depends on the Alpha Schaff value. A color scheme is used to indicate whether the current value is higher or lower than the previous value.
What is Alpha Schaff?:
Alpha Schaff is a technical indicator used in trading to identify potential trend reversals and confirm the strength of a current trend. It combines multiple moving averages and oscillators to generate buy and sell signals. Traders use Alpha Schaff to make informed decisions about entering or exiting positions based on its indications of trend momentum and market conditions.
Calculation:
The Alpha Schaff indicator calculates the difference between fast and slow EMAs based on the specified input lengths. It then measures the highest and lowest values of the difference over a defined sensitivity period. The indicator normalizes these values to a percentage scale to provide insights into the current market conditions.
How to use it?:
Monitor the color of the indicator line. A change in color indicates a potential trend reversal. For example, a switch from white to a purple color suggests a possible bullish trend, while a switch from a purple color to white indicates a potential bearish trend. Points of reversal can also be indicated by distinctive arrows pointing upwards or downward as well as visualized in bullish/bearish colors. The Distance between the indicator plot and the source can be interpreted as a measurement of price volatility. The script includes alert conditions that trigger when specific criteria are met. These alerts can notify users of potential buying or selling opportunities based on the indicator's signals.
Utility:
The Alpha Schaff is a trend-following indicator suitable for traders operating in trending markets. It offers clear and precise signals that provide valuable insights into bullish or bearish price movements. Additionally, this indicator stands out by incorporating distinctive arrows, indicating potential retracement points and allowing traders to anticipate mean reversion.
Originality:
The Alpha Schaff indicator, developed by AlgoAlpha introduces a proprietary modification to the Schaff Trend Cycle (STC) by incorporating multiple moving averages and oscillators. While the concept of the Schaff Trend Cycle exists, the specific implementation and combination of elements in the Alpha vSchaff indicator are unique to this tool. The inclusion of color schemes, arrow indicators, and volatility measurements sets it apart from other technical analysis indicators. Traders can benefit from its originality by utilizing its distinctive features to make more informed trading decisions in trending markets.
Trend Flow Profile [AlgoAlpha]Description:
The "Trend Flow Profile" indicator is a powerful tool designed to analyze and interpret the underlying trends and reversals in a financial market. It combines the concepts of Order Flow and Rate of Change (ROC) to provide valuable insights into market dynamics, momentum, and potential trade opportunities. By integrating these two components, the indicator offers a comprehensive view of market sentiment and price movements, facilitating informed trading decisions.
Rationale:
The combination of Order Flow and ROC in the "Trend Flow Profile" indicator stems from the recognition that both factors play critical roles in understanding market behavior. Order Flow represents the net buying or selling pressure in the market, while ROC measures the rate at which prices change. By merging these elements, the indicator captures the interplay between market participants' actions and the momentum of price movements, enabling traders to identify trends, spot reversals, and gauge the strength of price acceleration or deceleration.
Calculation:
The Order Flow component is computed by summing the volume when prices move up and subtracting the volume when prices move down. This cumulative measure reflects the overall order imbalance in the market, providing insights into the dominant buying or selling pressure.
The ROC component calculates the percentage change in price over a given period. It compares the current price to a previous price and expresses the change as a percentage. This measurement indicates the velocity and direction of price movement, allowing traders to assess the market's momentum.
How to Use It?
The "Trend Flow Profile" indicator offers valuable information to traders for making informed trading decisions. It enables the identification of underlying trends and potential reversals, providing a comprehensive view of market sentiment and momentum. Here are some key ways to utilize the indicator:
Spotting Trends: The indicator helps identify the prevailing market trend, whether bullish or bearish. A consistent positive (green) histogram indicates a strong uptrend, while a consistent negative (red) histogram suggests a robust downtrend.
Reversal Signals: Reversal patterns can be identified when the histogram changes color, transitioning from positive to negative (or vice versa). These reversals can signify potential turning points in the market, highlighting opportunities for counter-trend trades.
Momentum Assessment: By observing the width and intensity of the histogram, traders can assess the acceleration or deceleration of price momentum. A wider histogram suggests strong momentum, while a narrower histogram indicates a potential slowdown.
Utility:
The "Trend Flow Profile" indicator serves as a valuable tool for traders, providing several benefits. Traders can easily identify the prevailing market trend, enabling them to align their trading strategies with the dominant direction of the market. The indicator also helps spot potential reversals, allowing traders to anticipate market turning points and capture counter-trend opportunities. Additionally, the green and red histogram colors provide visual cues to determine the optimal duration of a long or short position. Following the green histogram signals when in a long position and the red histogram signals when in a short position can assist traders in managing their trades effectively. Moreover, the width and intensity of the histogram offer insights into the acceleration or deceleration of momentum. Traders can gauge the strength of price movements and adjust their trading strategies accordingly. By leveraging the "Trend Flow Profile" indicator, traders gain a comprehensive understanding of market dynamics, which enhances their decision-making and improves their overall trading outcomes.
Peak & Valley Levels [AlgoAlpha]The Peak & Valley Levels indicator is a sophisticated script designed to pinpoint key support and resistance levels in the market. By utilizing candle length and direction, it accurately identifies potential reversal points, offering traders valuable insights for their strategies.
Core Components:
Peak and Valley Detection: The script recognizes peaks and valleys in price action. Peaks (potential resistance levels) are identified when a candle is longer than the previous one, changes direction, and closes lower, especially on lower volume. Valleys (potential support levels) are detected under similar conditions but with the candle closing higher.
Color-Coded Visualization:
Red lines mark resistance levels, signifying peaks in the price action.
Green lines indicate support levels, representing valleys.
Dynamic Level Adjustment: The script adapts these levels based on ongoing market movements, enhancing their relevance and accuracy.
Rejection Functions:
Bullish Rejection: Determines if a candlestick pattern rejects a level as potential support.
Bearish Rejection: Identifies if a pattern rejects a level as possible resistance.
Usage and Strategy Integration:
Visual Aid for Support and Resistance: The indicator is invaluable for visualizing key market levels where price reversals may occur.
Entry and Exit Points: Traders can use the identified support and resistance levels to fine-tune entry and exit points in their trading strategies.
Trend Reversal Signals: The detection of peaks and valleys serves as an early indicator of potential trend reversals.
Application in Trading:
Versatile for Various Trading Styles: This indicator can be applied across different trading styles, including swing trading, scalping, or trend-following approaches.
Complementary Tool: For best results, it should be used alongside other technical analysis tools to confirm trading signals and strategies.
Customization and Adaptability: Traders are encouraged to experiment with different settings and timeframes to tailor the indicator to their specific trading needs and market conditions.
In summary, the Peak & Valley Levels by AlgoAlpha is a dynamic and adaptable tool that enhances a trader’s ability to identify crucial market levels. Its integration of candlestick analysis with dynamic level adjustment offers a robust method for spotting potential reversal points, making it a valuable addition to any trader's toolkit.
Fourier Smoothed Volume Zone Oscillator (FSVZO) [AlgoAlpha]Description
The Fourier Smoothed Volume Zone Oscillator (FSVZO) is an implementation of the Discrete Fourier Transform in a Volume Zone Oscillator. Its purpose is to smooth price data and reduce noise to provide a more clear and accurate indication of price movement. This indicator also includes additional EMA smoothing to accurately depict reversals.
Discrete Fourier Transform
The Discrete Fourier Transform (DFT) is a mathematical algorithm used to convert discrete time-domain data into its frequency-domain representation. By decomposing a signal into its constituent frequencies, it reveals the amplitude and phase information associated with each frequency component.
Volume Zone Oscillator
The Volume Zone Oscillator is an indicator that combines volume and price data to provide insights into market trends and momentum. It calculates the difference between the volume traded above and below a specified price level and represents it as a line plot on the chart. The Volume Zone Oscillator helps traders identify periods of high buying or selling pressure and can be used to confirm trends, spot divergences, and generate trading signals. By analyzing the relationship between volume and price, traders can gain a deeper understanding of market dynamics and make more informed trading decisions.
Features
This indicator incorporates Ehler's Universal Oscillator concept and presents a histogram to provide valuable insights into the market's noise levels. Ehler's Universal Oscillator represents the statistical model that characterizes random and unpredictable market behavior. By utilizing this concept, the histogram enhances traders' ability to identify periods of increased or decreased volatility in the market.
How to use it?
Green dots and lines represent bullish price movement, while red dots and lines indicate bearish price movement. These signals gain additional strength when considering our oversold and overbought zones. Traders and investors can leverage these signals to initiate long positions when green signals coincide with oversold conditions, and vice versa. By combining these signals in synergy with Ehler's Universal Oscillator, a more precise representation of market trends can be achieved. To optimize its effectiveness, it is advisable to integrate this indicator with complementary technical analysis tools and incorporate it into a comprehensive trading strategy. Traders are encouraged to explore diverse settings and timeframes to align the indicator with their individual trading preferences and adapt it to prevailing market conditions.
Utility
By combining the FSVZO indicator with Ehler's white noise histogram, users gain a comprehensive perspective on volume-related market conditions. It empowers traders and investors to evaluate the intensity of buying or selling pressure, detect potential trend reversals or continuations, and ultimately make more informed trading decisions. This information can serve as confirmation or validation for other technical indicators, enabling traders to identify potential market turning points and enhance their comprehension of market dynamics.
The indicator offers several valuable applications, including the detection of divergence patterns between volume and price, identification of accumulation or distribution phases, and assessment of overall market trend strength. It accommodates various trading styles, such as swing trading, trend following, or mean reversion strategies. By leveraging these capabilities, traders can expand their toolkit and make more informed trading decisions.
Originality
The originality of the script lies in the combination of the Fourier analysis, white noise calculations, and the Volume Zone Oscillator. It provides a unique perspective on market dynamics and can be used to identify potential trading opportunities based on overbought and oversold conditions as well as trend reversals. Special thanks to @QuantiLuxe for their assistance in the development of this indicator
Advanced Market Opening Gap DetectorThe Advanced Market Opening Gap Detector (AMOGD) is a Pine Script indicator designed to help you identify market gaps at the opening of a new trading day. Gaps are areas on a chart where the price of a security moves sharply up or down with little or no trading in between. They are significant as they may indicate a change in market sentiment. This indicator highlights the size and direction of the opening gap, allowing you to potentially adjust your strategies accordingly.
By setting a minimum gap size, you can filter out smaller, less significant gaps, focusing only on larger gaps which may have more substantial implications. You can define the minimum gap size in points or pips, providing flexibility based on your trading preferences and the asset being traded.
How-to Use:
Apply the AMOGD indicator to your TradingView chart.
Configure the minimum gap size and unit (points or pips) based on your preference using the settings panel.
At the opening of each new trading day, the indicator will check for a gap between the previous close and the opening price.
If a valid gap is detected (i.e., the gap size meets or exceeds the minimum gap size specified), the indicator will:
Draw lines to indicate the opening price and previous close.
Display a label indicating the size of the gap.
Highlight the gap on the chart for better visibility.
Importance:
Market gaps can be pivotal points indicating a possible new trend or a continuation of the current trend. Being able to identify and analyze these gaps is crucial for making informed trading decisions. The AMOGD indicator automates the process of identifying and visualizing opening market gaps, saving traders time and allowing for quick assessment of market conditions at the start of each trading day. By setting a minimum gap size, traders can also filter out less significant price movements, allowing them to focus on potentially trend-changing gaps. This tool can be a valuable addition to a trader's toolkit, aiding in the analysis and interpretation of market behavior at the open, which is often a very volatile and crucial period in the trading day.
DISCLAIMER! RISK WARNING!
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS. TRADERS SHOULD NOT BASE THEIR DECISION ON INVESTING IN ANY TRADING PROGRAM SOLELY ON THE PAST PERFORMANCE PRESENTED, ADDITIONALLY, IN MAKING AN INVESTMENT DECISION, TRADERS MUST ALSO RELY ON THEIR OWN EXAMINATION OF THE PERSON OR ENTITY MAKING THE TRADING DECISIONS.
[Pivots Consolidation Breakout Screener] with Alerts (TSO) This is a pivots consolidation screener indicator, with ability to choose up to 12 different symbols/instruments with alert to be notified when consolidation happens on either one with the new pivots formation (new R3(inner resistance) pivot formed below previous one and new S3(inner support) pivot formed above previous one). Once the alert on a certain symbol/instrument is received - there is an ability to set a Breakout alert for the consolidated symbol/instrument.
This is a very powerful strategy, which doesn't happen often, but when happens - it often causes big moves after a breakout!
NOTE: Every calculation is done on a confirmed closed candle bar state, so the indicator will never repaint!
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Explanation of all the Features/Inputs/Settings
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>>> On the very top, please read the important NOTES/TIPs.
>>> Next section is where the desired symbols can be turned on/checked to be screened for consolidation - the selected/checked symbols at creation of a 'Any alert() function call' alert will alert on any of the selected/checked symbols. Also, once consolidation forms, until next pivots formation - it will show it on the "Consolidation Stats" table. Once alerted on a specific symbol for consolidation - manual alert - 'Consolidation BREAKOUT' - can be created (MUST be done on the actual symbol chart, Right-Click > Add Alert) to be notified when actual breakout takes place.
>>> Pivots Settings section is where a manual timeframe/length can be set for the pivots as by Default it uses "Daily" timeframe. So, if want to experiment with more signals, but less accurate - a smaller timeframe can be set for Pivots Timeframe with smaller chart timeframe.
>>> Final section is simply the "Consolidation Stats" table location.
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Adding Alerts in TradngView
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1) Consolidation alert(s) for the selected/checked symbols
- Select/check/find the desired symbols/instruments (when selecting symbols, make sure - they are from correct BROKER/SOURCE as pricing may differ between different brokers, causing confusion (under 1 broker/source, the symbol will be consolidated, under another it will not...))
-Right-click anywhere on any TradingView chart
-Click on Add alert
-Condition: Select this indicator by it’s name
-Immediately below, change it to "alert() function calls only"
-Expiration: Open-ended (that may require higher tier TradingView account, otherwise the alert will need to be occasionally re-triggered)
-Alert name: Whatever you desire
-Hit “Create”
-Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings!
* Once alert triggers, don't get confused, as it will show "Alert on SYMBOL", the SYMBOL will be where you created the major alert for all the symbols within the screener list! Within the alert, on the bottom, it will say: "EURUSD: Camarilla Pivots R3S3 Consolidation ALERT!" - this is where the correct symbol is for which the alert for consolidation was triggered!
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2) Consolidation BREAKOUT alert(s)
-Right-click anywhere on any TradingView chart
-For the actual symbol (which got consolidated), open the chart (make sure timeframe is the same as with which "Consolidation alert(s)" were created prior), then Right-Click on the chart > Add Alert
-Click on Add alert
-Condition: Select this indicator by it’s name
-Immediately below, change it to "Consolidation BREAKOUT1"
-Expiration: Open-ended (that may require higher tier TradingView account, otherwise the alert will need to be occasionally re-triggered)
-Alert name: Whatever you desire
-Hit “Create”
* It will alert when a breakout occurs in any direction - once you open the chart for the symbol/instrument for which alert has occurred - you can immediately see into which direction the breakout occured, it will be marked on the chart with green/red triangle.
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If you have any questions or issues with the indicator, please message me directly via TradingView.
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Good Luck! (NOTE: Trading is very risky, past performance is not necessarily indicative of future results, so please trade responsibly!)
Machine Learning: Trend Pulse⚠️❗ Important Limitations: Due to the way this script is designed, it operates specifically under certain conditions:
Stocks & Forex : Only compatible with timeframes of 8 hours and above ⏰
Crypto : Only works with timeframes starting from 4 hours and higher ⏰
❗Please note that the script will not work on lower timeframes.❗
Feature Extraction : It begins by identifying a window of past price changes. Think of this as capturing the "mood" of the market over a certain period.
Distance Calculation : For each historical data point, it computes a distance to the current window. This distance measures how similar past and present market conditions are. The smaller the distance, the more similar they are.
Neighbor Selection : From these, it selects 'k' closest neighbors. The variable 'k' is a user-defined parameter indicating how many of the closest historical points to consider.
Price Estimation : It then takes the average price of these 'k' neighbors to generate a forecast for the next stock price.
Z-Score Scaling: Lastly, this forecast is normalized using the Z-score to make it more robust and comparable over time.
Inputs:
histCap (Historical Cap) : histCap limits the number of past bars the script will consider. Think of it as setting the "memory" of model—how far back in time it should look.
sampleSpeed (Sampling Rate) : sampleSpeed is like a time-saving shortcut, allowing the script to skip bars and only sample data points at certain intervals. This makes the process faster but could potentially miss some nuances in the data.
winSpan (Window Size) : This is the size of the "snapshot" of market data the script will look at each time. The window size sets how many bars the algorithm will include when it's measuring how "similar" the current market conditions are to past conditions.
All these variables help to simplify and streamline the k-NN model, making it workable within limitations. You could see them as tuning knobs, letting you balance between computational efficiency and predictive accuracy.
MACD Bands - Multi Timeframe [TradeMaster Lite]We present a customizable MACD indicator, with the following features:
Multi-timeframe
Deviation bands to spot unusual volatility
9 Moving Average types
Conditional coloring and line crossings
👉 What is MACD?
MACD is a classic, trend-following indicator that uses moving averages to identify changes in momentum. It can be used to identify trend changes, overbought and oversold conditions, and potential reversals.
👉 Multi-timeframe:
This feature allows to analyze the same market data on multiple time frames, which can be in help to identify trends and patterns that would not be visible on a single time frame. When using the multi-timeframe feature, it is important to start with the higher time frame and then look for confirmation on the lower time frames. This will help you to avoid false signals. Please note that only timeframes higher than the chart timeframe is supported currently with this feature enabled. Might get updated in the future.
👉 Deviation bands to spot unusual volatility:
Deviation bands are plotted around the Signal line that can be in help to identify periods of unusual volatility. When the MACD line crosses outside of the deviation bands, it suggests that the market is becoming more volatile and a strong trend may form in that direction.
👉 9 Moving Average types can be used in the script. Each type of moving average offers a unique perspective and can be used in different scenarios to identify market trends.
SMA (Simple Moving Average): This calculates the average of a selected range of values, by the number of periods in that range.
SMMA (Smoothed Moving Average): This takes into account all data available and assigns equal weighting to the values.
EMA (Exponential Moving Average): This places a greater weight and significance on the most recent data points.
DEMA (Double Exponential Moving Average): This is a faster-moving average that uses a proprietary calculation to reduce the lag in data points.
TEMA (Triple Exponential Moving Average): This is even quicker than the DEMA, helping traders respond more quickly to changes in trend.
LSMA (Least Squares Moving Average): This moving average applies least squares regression method to determine the future direction of the trend.
HMA (Hull Moving Average): This moving average is designed to reduce lag and improve smoothness, providing quicker signals for short-term market movements.
VWMA (Volume Weighted Moving Average): This assigns more weight to candles with a high volume, reflecting the true average values more accurately in high volume periods.
WMA (Weighted Moving Average): This assigns more weight to the latest data, but not as much as the EMA.
👉 Conditional coloring :
This feature colors the MACD line line based on it's direction and fills the area between the MACD line and Deviation band edges to highlight the potential volatility and the strength of the momentum. This can be useful to identify when the market is trending strongly and when it is in a more neutral or choppy state.
👉 MACD Line - Signal Line crossings:
This is a classic MACD trading signal that occurs when the MACD line crosses above or below the signal line. Crossovers can be used to identify potential trend reversals. This can be a bullish or bearish signal, depending on the direction of the crossover.
👉 General advice
Confirming Signals with other indicators:
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management:
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators:
The indicator can be effectively used alongside other technical indicators to create a comprehensive trading strategy and provide additional confirmation.
Keep in Mind:
Thorough research and backtesting are essential before making any trading decisions. Furthermore, it's crucial to have a solid understanding of the indicator and its behavior. Additionally, incorporating fundamental analysis and considering market sentiment can be vital factors to take into account in your trading approach.
Limitations:
This is a lagging indicator. Please note that the indicator is using moving averages, which are lagging indicators.
The indicators within the TradeMaster Lite package aim for simplicity and efficiency, while retaining their original purpose and value. Some settings, functions or visuals may be simpler than expected.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
Trig-Log Scaled Momentum OscillatorTaylor Series Approximations for Trigonometry:
1. The indicator starts by calculating sine and cosine values of the close price using Taylor Series approximations. These approximations use polynomial terms to estimate the values of these trigonometric functions.
Mathematical Component Formation:
2. The calculated sine and cosine values are then multiplied together. This gives us the primary mathematical component, termed as the 'trigComponent'.
Smoothing Process:
3. To ensure that our indicator is less susceptible to market noise and more reactive to genuine price movements, this 'trigComponent' undergoes a smoothing process using a simple moving average (SMA). The length of this SMA is defined by the user.
Logarithmic Transformation:
4. With our smoothed value, we apply a natural logarithm approximation. Again, this approximation is based on the Taylor expansion. This step ensures that all resultant values are positive and offers a different scale to interpret the smoothed component.
Dynamic Scaling:
5. To make our indicator more readable and comparable over different periods, the logarithmically transformed values are scaled between a range. This range is determined by the highest and lowest values of the transformed component over the user-defined 'lookback' period.
ROC (Rate of Change) Direction:
6. The direction of change in our scaled value is determined. This offers a quick insight into whether our mathematical component is increasing or decreasing compared to the previous value.
Visualization:
7. Finally, the indicator plots the dynamically scaled and smoothed mathematical component on the chart. The color of the plotted line depends on its direction (increasing or decreasing) and its boundary values.
TrapZone ProThis script combines the concepts of Price Action, Trend and Momentum to identify Price Zones (Red and Green filled areas) and Price Bars (Red, Green and Gray) where traders can get trapped in the Market.
It will clearly mark the bars which favor the prevailing Trend and those bars which just don't have the momentum anymore. TrapZone moves with the market trend and will often provide it support. As the TrapZone changes direction & its color, traders can change their trade bias.
Features:
Identify strong & weak price action - By leveraging a regression calculation of price movement on Y axis against the x axis, we identify the strength of current bars. Increasing relative strength of bars indicate Bullish (Green Bars) & Bearish (Red Bars) price movement, respectively. As the relative strength starts to decrease in Bullish or Bearish price action, the indicator immediately changes the color of these bars to Gray (by default). We call these TrapBars .
Current price trend - By using the highs and lows of price in multiple periods, we are calculating the trend of the price. The Bullish trend is shown by the Green zone and Bearish trend is shown by the Red zone. These zones are the shaded areas which are plotted on the chart. If the price is in these Zones, Longs or Short trades are not advised as that price action is weak. We call these TrapZones .
Strength of the Momentum - the thickness of the TrapZone shows the strength of the current Bullish or Bearish trend. That means the wider the shaded area grows the stronger is the current market momentum. A Flat TrapZone indicates sideways price action.
Knowing when NOT to Trade is as important as when to Trade. While this indicator is designed to avoid taking bad trades such as FOMO, Catching a Falling Knife or Fighting The Trend , it successfully reveals the good trade setups!
How these features of this indicator helps Traders avoids common mistakes:
FOMO or Fear of Missing Out - If a Trader Sees TrapBars in a Bullish or Bearish Trend, they will avoid entry as the price action is weak at that time. This will avoid late entries.
Catching a Falling Knife (a.k.a. Picking a Bottom) - When Red TrapZone is being plotted, Traders can avoid taking Long Entries hoping for a price reversal.
Fighting The Trend (a.k.a Picking a Top) - When Green TrapZone is being plotted, Traders can avoid taking Short entries hoping for a price reversal.
TrapZone Pro does all this in a single panel of the chart irrespective of the market or timeframe.
How to use TrapZone Pro indicator for trading [
A. Market Analysis
Green TrapZone is Bullish and traders should not take Shorts. If Green TrapZone is moving higher, Market is Strong
Red TrapZone is Bearish and traders should not take Longs. If Red TrapZone is moving Lower, Market is Strong
No trades when TrapBars are forming
No trades inside the TrapZone
B. Trade Guidance System
Establish Market Bias - Bullish or Bearish using the TrapZone Color
Only Enter Long in Long Color Bars i.e. Green by default
Only Enter Short in Short Color Bars i.e. Red by default
3 Classes of Trades are Possible Class A, B & C. A being the best Reward : Risk ratio and C being the least rewarding. So use trade size accordingly.
Class A - Best bars are always the first & Second, close to the TrapZone
Class B - Long Bar or Short Bar Forming after TrapBar away from the TrapZone in a Strong Market
Class C - Long Bar or Short Bar Forming after TrapBar close to the TrapZone in a Flat Market (identified by Flat TrapZone )
Take profits when Price moves away from the TrapZone & TrapBars start forming OR Your Target is hit !
See a few examples of Trade Classes & Entries/ Exits for a better understanding
Recommendations
Select Session to “Electronic Trading Hours” in chart settings so you can see the Post & Pre Market trading as well. You can change the color of these sessions to the same color as chart background, so it is not distracting.
Start by Trading in the Hourly or Daily time frame to get used to the new indicator and its Trade Guidance System .
Position Size is the best form of Risk Management. Have a fixed dollar loss per trade pre-determined and adjust the size based on market volatility.
Even though this indicator is designed to work on any market or timeframe, trade the markets that you are familiar with and timeframe that matches your lifestyle. Your understanding of the instrument's behavior and knowledge of what makes it move is valuable.
Basic Set-Up
Add the Indicator to the chart
Open Chart Settings and in Symbol Section
Switch off “ Borders ”
Switch off “ Wick ” or Change the colors to a same non-distracting color like Black or Gray
Open TrapZone Pro Settings
Set the colors for the “ Long Bars ”, “ Short Bars ” & “ No Entry Bars ” if you wish to change the default colors
Change “ TrapZone ” colors to your Taste or leave the defaults
Green for “Color 0” that represents Bullish Price Action
Red for “Color 1” that represents Bearish Price Action
Important Advice & Disclaimer: This indicator does not guarantee that you will make money. It is a tool that performs market analysis for you and presents it in a easy to consume fashion. Markets are truly random and can change direction on a dime. You must use prudent risk and money management strategy based on your investor profile, investment objectives and risk appetite.
To Get Access - See Author’s instructions below
Volume Profile with Delta [TradeMaster Lite]The indicator estimates and displays the total traded volume and it's delta** at each price level during the user-defined period. It can be used to identify key support and resistance levels, determine logical take profit and stop loss levels, identify balanced and unbalanced markets and determine trend strength. The indicator offers different approaches to visualize the volume profile and can be chosen based on your preferred trading strategy and analysis method. The position and size of the Volume Profile is fully customizable, it can even be flipped if needed!
Three different display types (cosmetic effect only):
Classic
Compact
Modern
The Lite version offers three different range types:
Visible Range: displays the volume profile for the visible range of bars or candles on the chart. It adjusts dynamically as you change the chart view making it ideal for the modern trader who values both precision and simplicity.
Open End: displays the volume profile from a specific start date without a defined end, including real delta data. It provides an overview of the volume activity across all price levels of the examined period.
Fixed End: lets you define a specific start and end point for the volume profile. It can be useful if you want to analyze the volume activity within a specific time period or price range.
👉 Usage
The Volume Profile is a histogram that shows the estimated trading volume at certain price levels, how much was sold and how much was bought of the asset. The longer the histogram, the greater the trading volume at that price level. The Delta estimates which side was dominant at that price level and by how much.
To make the most out of the indicator, you can look for
pullbacks to high volume nodes or value areas,
initial equilibrium pullbacks,
buy or sell opportunities for price reversals,
institutional order flow.
The largest histogram node is called the Point of Control (POC). It is the estimated real market price of a coin. There's a common belief that when the price is above this point, the market sentiment is bullish, and when it's below, the sentiment turns bearish. It can act as a strong support if the price is above it and as strong resistance if the price is below it.
Price action usually finds the most support and resistance and the edge of the high volume areas. The indicator can mark these as VAH and VAL (Value Area High and Low).
In addition to the indication of support and resistance zones, the volume profile can also be used to infer the speed of price movements. At levels where there is little trading volume, faster and more volatile price movements are expected. In such scenarios the price may fall or rise faster to the next high volume zone.
👉 General advice
Confirming Signals with other indicators:
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management:
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators:
The indicator can be effectively used alongside other technical indicators to create a comprehensive trading strategy and provide additional confirmation.
Keep in Mind:
Thorough research and backtesting are essential before making any trading decisions. Furthermore, it's crucial to have a solid understanding of the indicator and its behavior. Additionally, incorporating fundamental analysis and considering market sentiment can be vital factors to take into account in your trading approach.
Limitations:
The Lite version shows simple delta with current timeframe volume data.
The indicators within the TradeMaster Lite package aim for simplicity and efficiency, while retaining their original purpose and value. Some settings, functions or visuals may be simpler than expected.
**The Delta estimates which side was dominant at that price level and by how much. It is the difference between bull and bear volume of the candle.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
Trend Rainbow Moving Averages [TradeMaster Lite]The Trend Rainbow indicator is a simple technical analysis tool that uses moving averages to identify trends and potential buy and sell signals. It utilizes simple visualization techniques to present trend information in an intuitive, easily interpretable manner. This 21st-century tool is tailored for the modern trader who values both precision and simplicity.
The indicator uses our unique TRMA method to define short-term, intermediate, and long-term market trends. The TRMA (Trend Rainbow Moving Averages) is our own invention: a complex but flexible moving average matrix calculation that is designed to measure market trend direction, strength and shifting. Traders have the flexibility to choose from four types of moving average calculation bases to create a "rainbow".
👉 Example of usage:
General trend direction of the asset can be identified by looking at the slope of the rainbow. If the rainbow is generally pointing up, the asset is in an uptrend, if it is pointing down, the asset is in a downtrend. The indicator can also be used to assess the strength of a trend, identify potential resistance and support levels, and manage risk.
The Lite version of the indicator has 2 main trends to help you assess information about the direction and strength of asset's trend:
Intermediate trend: teal for bull trend, orange for bear trend.
Long-term trend: green for bull trend, red for bear trend.
Left side:
The image clearly shows that during the decline, the bearish intermediate trend was tested multiple times, acting as a resistance. This is a sign of weakness in the intermediate trend. The price did not have enough strength test the long-term trend yet, which is a sign that the long-term trend is still bearish.
Right side:
The intermediate trend first turned into neutral, then bullish. This is a sign of strength in the short-term and medium-term trends. This strength did not weaken and eventually. By maintaining the bullish intermediate trend, the long term trend was able to turn bullish again and a strong uptrend is now unfolding. This is a sign that the long-term trend is changing to bullish.
The Trend Rainbow also helps in risk management. On the right side of the chart the price is making a very steep move and both the intermediate and long-term trends are very far away from the current price. This shows us potential risk and the possibility of a deeper pullback. Trend edges can be used as potential entries or targets, depending on the situation.
👉 General advice
Confirming Signals with other indicators:
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management:
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators:
The indicator can be effectively used alongside other technical indicators to create a comprehensive trading strategy and provide additional confirmation.
Keep in Mind:
Remember that the example presented highlights how the Trend Rainbow indicator can be used. However, like all indicators, it is not a definitive market predictor. Thorough research and backtesting are essential before making any trading decisions. Furthermore, it's crucial to have a solid understanding of the indicator and its behavior. Additionally, incorporating fundamental analysis and considering market sentiment can be vital factors to take into account in your trading approach.
Limitations:
The indicators within the TradeMaster Lite package aim for simplicity and efficiency, while retaining their original purpose and value. Some settings, functions or visuals may be simpler than expected.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
Flux Charts SFX Algo (Premium)Flux Charts SFX Algo indicator is a comprehensive and sophisticated all-in-one toolkit designed to cater to all the technical analysis needs of traders. Developed and designed by Russell W., head developer at Flux Charts.
The Flux Charts SFX Algo indicator stands apart with its unique ability to seamlessly integrate with various forms of technical analysis, while also offering the option to function as a standalone toolkit adaptable to any trading style. The indicator has been designed to take into account the dynamic nature of market conditions, ensuring that every feature included remains relevant, reliable, and effective.
Traders have countless possibilities when utilizing this indicator, allowing for the exploration and analysis of an array of cutting-edge features over time. This enables traders to selectively employ the features that align best with their individual trading styles and build a personal trading strategy.
The Flux Charts SFX Algo indicator is set to revolutionize the way traders approach technical analysis, providing them with the tools and insights needed to navigate complex financial markets with confidence and precision.
Flux Charts SFX Algo works in all markets (stocks, crypto, forex, futures, bonds, options, etc) and has many features including:
Buy signals (Not to be followed blindly)
Sell signals (Not to be followed blindly)
Buy & Sell Signal Ratings (Higher rating doesn't necessarily mean a "better" signal)
Algorithm Weighting Customization
Algorithm Sensitivity Customization
Algorithm Signal Strength Filter
Take Profit signals
Take Profit Retest signals
Take Profit Level Optimization
Trend Candle Coloring
Volatility Bands
+ more
What it does
The indicator uses an Adjusted Weighted majority algorithm to generate "buy" and "sell" signals. The algorithm takes into account several market metrics and weights them based on their recent performance. How far back the algorithm checks is based on the “Time Weighting” setting. This allows users to choose between having more data points or having more recency bias within the algorithm, but less data to decipher.
How it works and what differentiates it
There are many popular strategies in the market all of which go in and out of successful periods. The SFX algorithm effectively uses popular indicators or "experts" and weights them using a period decided through the "Time Weighting" Setting. The "experts" include popular indicators that cover Momenutmn, ATR trends, and EMA trends. Adjusted Weighted Majority typically weighs only through binary events however the SFX also uses a dynamic system to punish larger losses. The total weighting is then used to confirm a signal is agreeing with the most successful "experts" or indicators within the time period. This effectively will filter poor signals during periods of underperformance compared to other indicators and the converse during performant periods.
This weighting algorithm was inspired by the Princeton University lecture "Multiplicative Weight Algorithm" by Sanjeev Arora!
Usage
CME_MINI:ES1! 3 minute timeframe, July 7 2023.
Indicator Settings: (Sensitivity: 70, Signal Strength: 40, Time Weighting: Recent Trends)
The star-rated signals show the strength of the signals based on our weighting system
The colored candles (green & red) simplify the market into basic uptrends/downtrends
The volatility bands show areas of potential reversals
The volatility bands also show potential breakouts (Tight bands = consolidation, which could lead to an impulsive move)
The take profit signals suggest areas where profits should be taken in a trade
Settings and their Usage
Algorithm Settings Explained
Sensitivity determines how frequently signals appear. A higher sensitivity would lead to more frequent signals (Buy & Sell) appearing on your chart
Signal Strength helps filter out low-rated signals based on our Stochastic Weighting Algorithm. A higher signal strength will lead to fewer signals on your chart. A higher-rated signal doesn't necessarily make it a better signal than a lower-rated signal.
Time Weighting allows you to choose how much historic data you want the indicator to use when interpreting data for the signals. There are three options to choose from including:
- Recent Trends
- Mixed Trends
- Longterm Trends
Using the "Recent Trends" option will only use recent market data when looking at the market metrics our algorithm uses for generating "Buy" and "Sell" signals. Thus, there will be a recency bias which means the metrics the algorithm is weighing more heavily have recently performed well.
Using the "Longterm Trends" option will use more historic market data when looking at the market metrics our algorithm uses. This will give more data points for the algorithm to use, but it won't count for recent performances, but rather an overall performance in the past. Thus, if one metric has been doing poorly recently, it will still receive the same weight, even though it was performing well at the start of our lookback period for data.
Using the "Mixed Trends" option will give you a choice that is in between these two options. This will give you a good balance between having enough data points for market metrics, while also sustaining a good bit of market recency bias.
Cryptosmart Trading Tool (by heswaikcrypt)Introducing the Cryptosmart Trading Tool (CSTP) - An optimized into Market Sentiment and direction tool
The Cryptosmart Trading Tool (CSTP) is an advanced indicator developed to provide valuable insights into market sentiment and direction. This tool combines existing TA tools and intelligently develops smart algorithms to empower traders with a deeper understanding of market dynamics. Some classic elements are included in the scripting, such as the exponential moving average (EMA), volume, and Relative Strength Index (RSI), to provide a comprehensive analysis of market conditions. By combining these indicators, the script aims to capture different aspects of market sentiment and enhance the accuracy of the analysis.
The Cryptosmart Trading Tool (CSTP) incorporates a unique algorithm that combines trend following analysis, momentum analysis, and volume analysis to provide insights into market sentiment and price action.
Trend Following Analysis:
The algorithm utilizes two exponential moving averages (EMAs): EMA1 and EMA2.
When EMA1 crosses above EMA2, it indicates an uptrend (isUptrend).
When EMA1 crosses below EMA2, it indicates a downtrend.
You adjust the input value to suit your trading strategy, however, 7, 8, 21, 34, and 200 have been tested to produce a fine tuned output.
The bar color indicates blue for bullish sentiment (is uptrend) and white for bearish sentiment (is downtrend).
Momentum Analysis:
The relative strength index (RSI) is calculated based on the closing prices and the specified RSI length.
RSI values above 70 indicate overbought conditions (isOverbought).
RSI values below 30 indicate oversold conditions (isOversold).
Using the isOversoldExtreme and isOverboughtExtreme, the CSTP algorithm detect extreme over bought and oversold conditions and alert with label color green and red.
Volume Analysis:
The algorithm calculates the average volume over a specified length (averageVolume).
The volume ratio is obtained by dividing the current volume by the average volume.
High volume activity is identified when the volume ratio is greater than 1 (isHighVolume).
Major Flip and Arrow Plots:
Major bullish or bearish flips are identified when EMA1 crosses above EMA2 with RSI values above 50 and high volume activity (isBullishFlip) or when EMA1 crosses below EMA2 with RSI values below 50 and high volume activity (isBearishFlip).
Arrow plots are used to display trend direction, upward arrows for major bullish flips and downward arrows for major bearish flips.
The algorithm calculates the bullBearRatio and RSIValueAtFlip to capture the volume ratio and RSI values at major flips.
The bullishRatio and bearishRatio variables store the volume ratio values for the corresponding trend conditions.
Labels are also displayed on the chart to provide information about EMA values and RSI values. This can be independently disabled by the user
The uniqueness of the CSTP algorithm lies in its combination of trend following analysis, momentum analysis, and volume analysis. By considering these factors, the algorithm provides insights into market sentiment and price action. The use of EMAs, RSIs, and volume ratios allows traders to identify potential trends, overbought/oversold conditions, and high volume activity. The visual representation of bar colors and arrows enhances the ease of understanding the sentiment and major flips. CSTP is uniquely presented by using dots, arrows, candlestick colors, and shape labels to indicate the market scenario. This is explained below.
By leveraging multiple indicators and analysis techniques, CSTP aims to provide traders with a holistic understanding of market dynamics and enhance their decision-making process.
It's important to note that while the individual components used in CSTP are not new or unique on their own, the specific algorithm, parameters, and calculations used within the script are what make it distinctive and valuable. By carefully integrating these components, CSTP generates results that are greater than the sum of its parts, providing traders with a comprehensive analysis of market conditions.
Through extensive research, analysis, and testing, we have created a useful tool, fine-tuned to optimize the accuracy and reliability of the script's output, which can assist traders in making more informed trading decisions.
How to Use:
1. Apply the CSTP Script:
- Apply the CSTP script to your TradingView chart to start analyzing market conditions. (Access instructions can be found in the author's details section.)
- Ensure you have the latest version of TradingView to access all the features and functionalities.
2. Customize Parameters:
- Customize the input variables to match your trading preferences and adapt the tool to different markets.
- Experiment with different settings, such as RSI Length and EMA Lengths, to find the optimal configuration for your trading strategy.
3. Interpret the Color-Coded Bars and Wave Labels:
- Green bars indicate bullish sentiment, suggesting potential buying opportunities.
- Red bars indicate bearish sentiment, indicating potential selling opportunities.
- Blue and white bars represent sentiment backed by smart money liquidity, adding an extra layer of analysis.
- The wave labels provide insights into market structure and potential wave patterns.
4. Combine with Candlestick philosophy strategy and parameters used:
- Wait for candlestick closure before making trading decisions based on CSTP's analysis.
- Consider the EMA (yellow) line as an additional tool to confirm entry or exit points.
- Combining CSTP's analysis with candlestick patterns can enhance your decision-making process and improve trade timing.
- Volume Analysis: Compares the current volume to the Simple Moving Average (SMA) of volume using the RSI Length parameter to determine high-volume periods.
- Color-Coded Bars: The color of the bars represents different market sentiments based on all the parameters used including Relative strength index, bullish and bearish
divergence and volume conditions.
- Open Close Cross (OCC) Alerts: Generates dot alert with color code (red=Bearish, green=Bullish) when there is a crossover or crossunder between the close and open
prices
Important Notes:
- Candlestick color matter a lot as then show the sentiment of the market at a given time. and it is an added advantage for a trader to understand candlestick Psychology.
Candlestick conditions
I will use this BINANCE:MTLUSDT chart to explain how it works
Long green Arrow: Bullish call, with green isBullish arrow
Long red Arrow: Bearish call, with isBearish arrow
Blue with red wick and tape: this indicate a bearish sentiment but with some bullish volume, this position is dice which requires a proper understanding of entry and exit. when if this said candle stick closes below the EMA line, wait for the the next candle after it t determining your move. If the next one closes above it, then the direction is still bullish, else the direction has flipped bearish. (special scenario: in the range or consolidative market phase, you may need to wait 3-7 day candle close before you decide. use the coloration as guide to help with your decision making).
Blue with green wick and tape: this indicated strong bullish sentiment backed by liquidity to push. it is important to not the candle close, if the candle closes above the EMA (7 and/or 21) that validates the move, else, you may need to wait for the next candle close to determine the move and momentum of the market. Example is the $COOMPUST chart
White with green wick and tape: this works just like the "Blue candlestick with red wick and tape". follow same procedure
White with red wick and tape: White candle with red wick, indicates bearish sentiment backed by available market liquidity at the time.
If you see the market moving upward and the candlestick keep closing with white color, it is an indication of inorganic move (Check BITFINEX:SUIUST ) the best thing to do is to wait at resistance. a similar scenario can be seen here
Market test:
below are picture of the indicator tested on different assets
CRYPTOCAP:BNB
AUD
Tesla
it is best to book an entry after an arrow indicate (especially for a bullish market) and the candle closes above the EMA (Yellow line).
Risk management.
- ALWAYS PROTECT YOUR PROFIT WHEN YOU SEE ON. THE MARKET IS DYNAMIC
- Trading involves risks, and no tool can guarantee absolute accuracy in predicting market direction. Conduct thorough research and exercise caution when making trading decisions.
- Apply proper risk management strategies and adjust position sizes according to your risk tolerance.
- Stay updated with market news and events that may impact your trading decisions.
Conclusion:
The Cryptosmart Trading Tool (CSTP) provides traders with a powerful advantage by offering valuable insights into market sentiment and direction. To gain access or trial, refer to the author's details section. This indicator combines various analysis techniques to provide a comprehensive view of the market. Remember to apply your own analysis and expertise in conjunction with CSTP for optimal results.
This indicator combines my 8years of trading experience. Enjoy
Disclaimer:
Trading involves risks, and the CSTP script is designed to assist traders by providing valuable insights. It should be used as a supplement to your own analysis and expertise. Exercise caution and make informed trading decisions based on your own research.
