Significant VolumeSignificant Volume Indicator for Scalpers
This indicator, designed for scalpers, identifies candles with significant volume pressure, aiding in pinpointing optimal entry points for short or long positions. Unlike traditional trend analysis tools, this indicator focuses specifically on volume dynamics to assist traders in identifying ideal trade setups for quick, short-term trades.
**Key Features:**
1. **Volume Analysis:** Utilizes volume data to highlight candles with significant buying or selling pressure.
2. **Moving Average:** Calculates a simple moving average of volume to provide a reference for determining the significance of current volume levels.
3. **Volume Pressure:** Evaluates volume pressure based on the difference between buy and sell pressures over a specified lookback period.
4. **Customizable Parameters:** Allows users to adjust parameters such as SMA period and lookback period to fine-tune the indicator to their trading preferences and strategies.
**Ideal Usage:**
- **Scalping Strategy:** Tailored for traders employing scalping strategies who seek to capitalize on short-term price movements.
- **Entry Point Identification:** Helps traders identify candles with notable volume activity, indicating potential entry points for short or long positions.
- **Volume Confirmation:** Provides additional confirmation for trade setups by highlighting candles with significant volume pressure.
**Disclaimer:** This indicator is designed specifically for scalping purposes and may not be suitable for other trading styles or purposes.
Volume
Movement based on Buying/Selling VolumeDescription:
The "Buying Selling Volume" indicator calculates buying and selling volumes based on price movements within a specified lookback period. It then computes exponential moving averages (EMAs) of these volumes to determine trend direction. The indicator visually represents trend direction on the chart.
Volume Calculation and Normalization (Lines #1 - #12):
The indicator first computes the buying volume (BV) and selling volume (SV) based on price movements within the specified lookback period. These volumes are calculated proportionally to the distance between the closing price and the high and low of each candle.
To ensure consistent behavior and prevent division by zero, the volumes are normalized using a conditional statement to handle cases where the high and low are equal, which implies a lack of price movement.
Additionally, the volume (vol) is normalized to ensure non-zero division in subsequent calculations.
Total Volume and Proportional Volume Calculation (Lines #13 - #20):
The total volume (TP) is computed by summing the buying and selling volumes.
The proportional buying volume (BPV) and selling volume (SPV) are then calculated based on their respective contributions to the total volume.
These proportional volumes are scaled by the total volume to ensure accurate representation relative to market activity.
Evaluating Buying and Selling Pressure (Lines #21 - #24):
The code segment assigns positive or negative values to represent buying and selling pressure, respectively, based on the comparison between BPV and SPV. This step involves determining whether the buying pressure exceeds the selling pressure or vice versa.
The calculated values, denoted as BPc1 and SPc1, encapsulate the relative strength of buying and selling forces within the market.
EMA Calculation and Trend Identification (Lines #25 - #32):
The BPc1 and SPc1 values are subjected to exponential moving average (EMA) calculations using the specified lookback period (LookbackL). This process involves smoothing out the buying and selling pressure data to reveal underlying trends.
The resulting EMAs, represented by ema1B and ema1S, serve as crucial indicators of trend direction. A bullish trend is indicated when ema1B exceeds ema1S, while a bearish trend is signaled when ema1B falls below ema1S.
Secondary Volume Analysis and Trend Confirmation (Lines #33 - #42):
A similar volume analysis and EMA calculation process is repeated in this segment, using a different lookback period (LookbackL2). This allows for a secondary assessment of market dynamics and trend direction.
The resulting EMAs, denoted as ema1B2 and ema1S2, are compared to validate the trend direction identified in the primary analysis.
Visual Representation and Trend Display (Lines #43 - #46):
Finally, the indicator visualizes the identified trends on the chart by plotting colored shapes based on the comparison between the primary and secondary trend directions.
A green color indicates alignment in bullish trends, a red color signifies alignment in bearish trends, while a neutral color (gray) represents no clear consensus between the primary and secondary analyses.
Ideal Usage:
1. **Trend Confirmation:** Traders can use this indicator to confirm trend direction before entering trades.
2. **Reversal Signals:** Changes in trend direction, indicated by shifts in plotted shape colors, can signal potential market reversals.
Warnings:
1. **False Signals:** Like any technical indicator, false signals may occur, especially during low-volume or choppy market conditions. Additional analysis and risk management techniques are essential to mitigate potential losses.
2. **Parameter Sensitivity:** Adjusting lookback periods can impact the indicator's sensitivity to price movements. Traders should test different parameter settings and consider market conditions when using the indicator.
VWAP DivergenceThe "VWAP Divergence" indicator leverages the VWAP Rolling indicator available in TradingView's library to analyze price and volume dynamics. This custom indicator calculates a rolling VWAP (Volume Weighted Average Price) and compares it with a Simple Moving Average (SMA) over a specified historical period.
Advantages:
1. Accurate VWAP Calculation: The VWAP Rolling indicator computes a VWAP that dynamically adjusts based on recent price and volume data. VWAP is a vital metric used by traders to understand the average price at which a security has traded, factoring in volume.
2. SMA Comparison: By contrasting the rolling VWAP from the VWAP Rolling indicator with an SMA of the same length, the indicator highlights potential divergences. This comparison can reveal shifts in market sentiment.
3. Divergence Identification: The primary purpose of this indicator is to detect divergences between the rolling VWAP from VWAP Rolling and the SMA. Divergence occurs when the rolling VWAP significantly differs from the SMA, indicating potential changes in market dynamics.
Interpretation:
1. Positive Oscillator Values: A positive oscillator (difference between rolling VWAP and SMA) suggests that the rolling VWAP, derived from the VWAP Rolling indicator, is above the SMA. This could indicate strong buying interest or accumulation.
2. Negative Oscillator Values: Conversely, a negative oscillator value indicates that the rolling VWAP is below the SMA. This might signal selling pressure or distribution.
3. Divergence Signals: Significant divergences between the rolling VWAP (from VWAP Rolling) and SMA can indicate shifts in market sentiment. For instance, a rising rolling VWAP diverging upwards from the SMA might suggest increasing bullish sentiment.
4. Confirmation with Price Movements: Traders often use these divergences alongside price action to confirm potential trend reversals or continuations.
Implementation:
1. Length Parameter: Adjust the Length input to modify the lookback period for computing both the rolling VWAP from VWAP Rolling and the SMA. A longer period provides a broader view of market sentiment, while a shorter period is more sensitive to recent price movements.
2. Visualization: The indicator plots the VWAP SMA Oscillator, which visually represents the difference (oscillator) between the rolling VWAP (from VWAP Rolling) and SMA over time.
3. Zero Line: The zero line (gray line) serves as a reference point. Oscillator values crossing above or below this line can be interpreted as bullish or bearish signals, respectively.
4. Contextual Analysis: Interpret signals from this indicator in conjunction with broader market conditions and other technical indicators to make informed trading decisions.
This indicator, utilizing the VWAP Rolling component, is valuable for traders seeking insights into the relationship between volume-weighted price levels and traditional moving averages, aiding in the identification of potential trading opportunities based on market dynamics.
VWAP RollingThis indicator, referred to here as "VWAP Rolling," is a technical tool designed to provide insight into the average price at which an asset has traded over a specified rolling period, along with bands that can indicate potential overbought or oversold conditions based on standard deviations from this rolling VWAP.
Purpose and Utility:
The indicator's primary purpose is to track the volume-weighted average price (VWAP) over a specified period, typically 20 bars in this script. The VWAP Rolling is particularly useful in assessing the average price level at which a security has been traded over the recent history, incorporating both price and volume data. This can help traders understand the prevailing market price in relation to trading volume.
Advantages:
1. Dynamic Average: Unlike fixed VWAP indicators that calculate over a specific session, the rolling VWAP adapts to recent price and volume changes, offering a more responsive and dynamic average.
2. Volume Sensitivity: By weighting prices by volume, the rolling VWAP gives more importance to periods with higher trading activity, providing a clearer picture of where significant trading has occurred.
3. Standard Deviation Bands: The inclusion of standard deviation bands (configurable as 1x and 2x deviations in this script) around the rolling VWAP adds a layer of analytical depth. These bands can serve as potential areas of support and resistance, highlighting deviations from the mean price.
Singularization and Interpretation:
The VWAP Rolling indicator is singularized by its ability to adapt to changing market conditions, offering a dynamic representation of the average price level influenced by volume. To use and interpret this indicator effectively:
• Rolling VWAP Line: The main line represents the rolling VWAP. When this line trends upwards, it suggests that recent trading has been occurring at higher prices weighted by volume, indicating potential bullish sentiment. Conversely, a downtrend in the rolling VWAP may indicate bearish sentiment.
• Standard Deviation Bands: The upper and lower bands (configurable as 1x and 2x standard deviations from the rolling VWAP) are used to identify potential overbought or oversold conditions. A price crossing above the upper band may indicate overbought conditions, signaling a potential reversal or correction downwards. Conversely, a price crossing below the lower band may suggest oversold conditions, potentially signaling a bounce or reversal upwards.
• Band Interaction: Watch for interactions between price and these bands. Repeated touches or breaches of the bands can provide clues about the strength of the prevailing trend or potential reversals.
Interpretative Insights:
• Trend Confirmation: The direction of the rolling VWAP can confirm or contradict the prevailing price trend. If the price is above the rolling VWAP and the VWAP is rising, it suggests a strong bullish sentiment. Conversely, a falling rolling VWAP with prices below might indicate a bearish trend.
• ean Reversion Signals: Extreme moves beyond the standard deviation bands may signal potential mean reversion. Traders can look for price to revert back towards the rolling VWAP after such deviations.
In summary, the VWAP Rolling indicator offers traders a flexible tool to gauge average price levels and potential deviations, incorporating both price and volume dynamics. Its adaptability and standard deviation bands provide valuable insights into market sentiment and potential trading opportunities.
Kalman Filter Volume Bands by TenozenHello there! I am excited to introduce a new original indicator, the Kalman Filter Volume Bands. This indicator is calculated using the Kalman Filter, which is an adaptive-based smoothing quantitative tool. The Kalman Filter Volume Bands have two components that support the calculation, namely VWAP and VaR.
VWAP is used to determine the weight of the Kalman Filter Returns, but it doesn't have a significant impact on the calculation. On the other hand, VaR or Value at risk is calculated using the 99th percentile, which means that there is a 1% chance for the returns to exceed the 99th percentile level. After getting the VaR value, I manually adjust the bands based on the current market I'm trading on. I take the highest point (VaR*2) and the lowest point (-(VaR*2)) from the Kalman Filter, and then divide them into segments manually based on my preference.
This process results in 8 segments, where 2 segments near the Kalman Filter are further divided, making a total of 12 segments. These segments classify the current state of the price based on code-based coloring. The five states are very bullish, bullish, very bearish, bearish, and neutral.
I created this indicator to have an adaptive band that is not biased toward the volatility of the market. Most band-based indicators don't capture reversals that well, but the Kalman Filter Volume Bands can capture both trends and reversals. This makes it suitable for both trend-following and reversal trading approaches.
That's all for the explanation! Ciao!
Additional Reminder:
- Please use hourly timeframes or higher as lower timeframes are too noisy for reliable readings of this indicator.
Previous Day and Week RangesI've designed the "Previous Day and Week Ranges" indicator to enhance your trading strategy by clearly displaying daily and weekly price levels. This tool shows Open-Close and High-Low ranges for both daily and weekly timeframes directly on your trading chart.
Key Features :
Potential Support and Resistance: The indicator highlights previous day and week ranges that may serve as key support or resistance levels in subsequent trading sessions.
Customizable Display Options: Offers the flexibility to show or hide daily and weekly ranges based on your trading needs.
Color Customization: Adjust the color settings to differentiate between upward and downward movements, enhancing visual clarity and chart readability.
This indicator is ideal for traders aiming to understand market dynamics better, offering insights into potential pivot points and zones of price stability or volatility.
Volume Profile with Node Detection [LuxAlgo]The Volume Profile with Node Detection is a charting tool that allows visualizing the distribution of traded volume across specific price levels and highlights significant volume nodes or clusters of volume nodes that traders may find relevant in utilizing in their trading strategies.
🔶 USAGE
The volume profile component of the script serves as the foundation for node detection while encompassing all the essential features expected from a volume profile. See the sub-sections below for more detailed information about the indicator components and their usage.
🔹 Peak Volume Node Detection
A volume peak node is identified when the volume profile nodes for the N preceding and N succeeding nodes are lower than that of the evaluated one.
Displaying peak volume nodes along with their surrounding N nodes (Zones or Clusters) helps visualize the range, typically representing consolidation zones in the market. This feature enables traders to identify areas where trading activity has intensified, potentially signaling periods of price consolidation or indecision among market participants.
🔹 Trough Volume Node Detection
A volume trough node is identified when the volume profile nodes for the N preceding and N succeeding nodes are higher than that of the evaluated one.
🔹 Highest and Lowest Volume Nodes
Both the highest and lowest volume areas play significant roles in trading. The highest volume areas typically represent zones of strong price acceptance, where a significant amount of trading activity has occurred. On the other hand, the lowest volume areas signify price levels with minimal trading activity, often indicating zones of price rejection or areas where market participants have shown less interest.
🔹 Volume profile
Volume profile is calculated based on the volume of trades that occur at various price levels within a specified timeframe. It divides the price range into discrete price intervals, typically known as "price buckets" or "price bars," and then calculates the total volume of trades that occur at each price level within those intervals. This information is then presented graphically as a histogram or profile, where the height of each bar represents the volume of trades that occurred at that particular price level.
🔶 SETTINGS
🔹 Volume Nodes
Volume Peaks: Toggles the visibility of either the "Peaks" or "Clusters" on the chart, depending on the specified percentage for detection.
Node Detection Percent %: Specifies the percentage for the Volume Peaks calculation.
Volume Troughs: Toggles the visibility of either the "Troughs" or "Clusters" on the chart, depending on the specified percentage for detection.
Node Detection Percent %: Specifies the percentage for the Volume Troughs calculation.
Volume Node Threshold %: A threshold value specified as a percentage is utilized to detect peak/trough volume nodes. If a value is set, the detection will disregard volume node values lower than the specified threshold.
Highest Volume Nodes: Toggles the visibility of the highest nodes for the specified count.
Lowest Volume Nodes: Toggles the visibility of the lowest nodes for the specified count.
🔹 Volume Profile - Components
Volume Profile: Toggles the visibility of the volume profile with either classical display or gradient display.
Value Area Up / Down: Color customization option for the volume nodes within the value area of the profile.
Profile Up / Down Volume: Color customization option for the volume nodes outside of the value area of the profile.
Point of Control: Toggles the visibility of the point of control, allowing selection between "developing" or "regular" modes. Sets the color and width of the point of control line accordingly.
Value Area High (VAH): Toggles the visibility of the value area high level and allows customization of the line color.
Value Area Low (VAL): Toggles the visibility of the value area low level and allows customization of the line color.
Profile Price Labels: Toggles the visibility of the Profile Price Levels and allows customization of the text size of the levels.
🔹 Volume Profile - Display Settings
Profile Lookback Length: Specifies the length of the profile lookback period.
Value Area (%): Specifies the percentage for calculating the value area.
Profile Placement: Specify where to display the profile.
Profile Number of Rows: Specify the number of rows the profile will have.
Profile Width %: Adjusts the width of the rows in the profile relative to the profile range.
Profile Horizontal Offset: Adjusts the horizontal offset of the profile when it is selected to be displayed on the right side of the chart.
Value Area Background: Toggles the visibility of the value area background and allows customization of the fill color.
Profile Background: Toggles the visibility of the profile background and allows customization of the fill color.
🔶 RELATED SCRIPTS
Supply-Demand-Profiles
Liquidity-Sentiment-Profile
Thanks to our community for recommending this script. For more conceptual scripts and related content, we welcome you to explore by visiting >>> LuxAlgo-Scripts .
Rise Sense Capital - RSI MACD Spot Buying IndicatorToday, I'll share a spot buying strategy shared by a member @KR陳 within the DATA Trader Alliance Alpha group. First, you need to prepare two indicators:
今天分享一個DATA交易者聯盟Alpha群組裏面的群友@KR陳分享的現貨買入策略。
首先需要準備兩個指標
RSI Indicator (Relative Strength Index) - RSI is a technical analysis tool based on price movements over a period of time to evaluate the speed and magnitude of price changes. RSI calculates the changes in price over a period to determine whether the recent trend is relatively strong (bullish) or weak (bearish).
RSI指標，(英文全名:Relative Strength Index)，中文稱為「相對強弱指標」，是一種以股價漲跌為基礎，在一段時間內的收盤價，用於評估價格變動的速度 (快慢) 與變化 (幅度) 的技術分析工具，RSI藉由計算一段期間內股價的漲跌變化，判斷最近的趨勢屬於偏強 (偏多) 還是偏弱 (偏空)。
MACD Indicator (Moving Average Convergence & Divergence) - MACD is a technical analysis tool proposed by Gerald Appel in the 1970s. It is commonly used in trading to determine trend reversals by analyzing the convergence and divergence of fast and slow lines.
MACD 指標 (Moving Average Convergence & Divergence) 中文名為平滑異同移動平均線指標，MACD 是在 1970 年代由美國人 Gerald Appel 所提出，是一項歷史悠久且經常在交易中被使用的技術分析工具，原理是利用快慢線的交錯，藉以判斷股價走勢的轉折。
In MACD analysis, the most commonly used values are 12, 26, and 9, known as MACD (12,26,9). The market often uses the MACD indicator to determine the future direction of assets and to identify entry and exit points.
在 MACD 的技術分析中，最常用的值為 12 天、26 天、9 天，也稱為 MACD (12,26,9)，市場常用 MACD 指標來判斷操作標的的後市走向，確定波段漲幅並找到進、出場點。
Strategy analysis by member KR陳:
策略解析 by群友 KR陳 ：
Condition 1: RSI value in the previous candle is below oversold zone(30).
條件1：RSI 在前一根的數值低於超賣區（30）
buycondition1 = RSI <30
Condition 2: MACD histogram changes from decreasing to increasing.
條件2：MACD柱由遞減轉遞增
buycondition2 = hist >hist and hist <hist
Strategy Effect Display:
策略效果展示：
Slight modification:
稍微修改：
I've added the ATR-MACD, developed earlier, as a filter signal alongside the classic MACD. The appearance of an upward-facing triangle indicates that the ATR MACD histogram also triggers the condition, aiming to serve as a filtering mechanism.
我在經典的macd作爲條件的同時 也加入了之前開發的ATR-MACD作爲過濾信號 出現朝上的三角圖示代表ATR MACD的柱狀圖一樣觸發條件 希望可以以此起到過濾的作用
Asset/Usage Instructions:
使用標的/使用説明
Through backtesting, it's found that it's not suitable for smaller time frames as there's a lot of noise. It's recommended to use it in assets with a long-term bullish view, focusing on time frames of 12 hours or longer such as 12H, 16H, 1D, 1W to find spot buying opportunities.
經過回測發現 并不適用與一些小級別時區 噪音會非常多，建議在一些長期看漲的標的中切入12小時以上的時區如12H，16H, 1D, 1W 中間尋找現貨買入的機會。
A few thoughts:
Overall, it's a very good indicator strategy for spot buying in the physical market. Thanks to member @KR陳 for sharing!
一些小感言 綜合來看是一個針對現貨買入非常好的指標策略，感謝群友@KR陳的分享！
Smart Money Liquidity Heatmap [AlgoAlpha]🌟📈 Introducing the Smart Money Liquidity Heatmap by AlgoAlpha! 🗺️🚀
Dive into the depths of market liquidity with our innovative Pine Script™ indicator designed to illuminate the trading actions of smart money! This meticulously crafted tool provides an enhanced visualization of liquidity flow, highlighting the dynamics between smart and retail investors directly on your chart! 🌐🔍
🙌 Key Features of the Smart Money Liquidity Heatmap:
🖼️ Visual Clarity: Uses vibrant heatmap colors to represent liquidity concentrations, making it easier to spot significant trading zones.
🔧 Customizable Settings: Adjust index periods, volume flow periods, and more to tailor the heatmap to your trading strategy.
📊 Dynamic Ratios: Computes the ratio of smart money to retail trading activity, providing insights into who is driving market movements.
👓 Transparency Options: Modify color intensity for better visibility against various chart backgrounds.
🛠 How to Use the Smart Money Liquidity Heatmap:
1️⃣ Add the Indicator:
Add the indicator to favourites. Customize settings to align with your trading preferences, including periods for index calculation and volume flow.
2️⃣ Market Analysis:
Monitor the heatmap for high liquidity zones signalled by the heatmap. These are potential areas where smart money is actively engaging, providing crucial insights into market dynamics.
Basic Logic Behind the Indicator:
The Smart Money Liquidity Heatmap utilizes the Smart Money Interest Index Indicator and operates by differentiating between the trading behaviors of informed (smart money) and less-informed (retail) traders. It calculates the differences between specific volume indices—Positive Volume Index (PVI) for retail investors and Negative Volume Index (NVI) for institutional players—and their respective moving averages, highlighting these differences using the Relative Strength Index (RSI) over user-specified periods. This calculation generates a ratio that is then normalized and compared against a threshold to identify areas of high institutional trading interest, visually representing these zones on your chart as vibrant heatmaps. This enables traders to visually identify where significant trading activities among smart money are occurring, potentially signalling important buying or selling opportunities.
🎉 Elevate your trading experience with precision, insight, and clarity by integrating the Smart Money Liquidity Heatmap into your toolkit today!
Volume Flow ImbalanceVolume Flow Imbalance (VFI) Indicator
The Volume Flow Imbalance (VFI) indicator is designed to provide traders with insights into the market's buying and selling pressure by calculating the imbalance between buy and sell volumes over a user-defined lookback period. This indicator is particularly useful for identifying potential pivot points and market sentiment shifts.
How to Use :
Setup Parameters :
Lookback Period: Set the number of bars over which the imbalance is calculated. Increasing this number provides a broader view of market trends.
Lower Timeframe Data: Optionally enable this feature to analyze volume data from lower timeframes, offering a more granified view of volume flows.
Interpreting the Indicator :
The VFI outputs a value that represents the net imbalance between buying and selling volumes. Positive values indicate a predominance of buying volume, suggesting bullish conditions, while negative values suggest bearish conditions with more selling volume.
The indicator also provides dynamic threshold lines based on the standard deviation of the calculated imbalances, helping to visually identify extreme conditions where reversals might occur.
Application :
Apply the VFI to any chart to assess the balance of trade volumes in real-time.
Use the indicator in conjunction with other technical analysis tools to confirm trends or potential reversals.
Tips :
Adjust the lookback period based on the volatility and trading volume of the asset to optimize performance.
The VFI is best used in liquid markets where volume data is a reliable indicator of market activity.
By providing a clear measure of how much buying and selling is occurring relative to the past, the VFI helps traders make informed decisions based on underlying market dynamics.
Crypto Liquidation Heatmap [LuxAlgo]The Crypto Liquidation Heatmap tool offers real-time insights into the liquidations of the top cryptocurrencies by market capitalization, presenting the current state of the market in a visually accessible format. Assets are sorted in descending order, with those experiencing the highest liquidation values placed at the top of the heatmap.
Additional details, such as the breakdown of long and short liquidation values and the current price of each asset, can be accessed by hovering over individual boxes.
🔶 USAGE
The crypto liquidation heatmap tool provides real-time insights into liquidations across all timeframes for the top 29 cryptocurrencies by market capitalization. The assets are visually represented in descending order, prioritizing assets with the highest liquidation values at the top of the heatmap.
Different colors are used to indicate whether long or short liquidations are dominant for each asset. Green boxes indicate that long liquidations surpass short liquidations, while red boxes indicate the opposite, with short liquidations exceeding long liquidations.
Hovering over each box provides additional details, such as the current price of the asset, the breakdown of long and short liquidation values, and the duration for the calculated liquidation values.
🔶 DETAILS
🔹Crypto Liquidation
Crypto liquidation refers to the process of forcibly closing a trader's positions in the cryptocurrency market. It occurs when a trader's margin account can no longer support their open positions due to significant losses or a lack of sufficient margin to meet the maintenance requirements. Liquidations can be categorized as either a long liquidation or a short liquidation.
A long liquidation occurs when long positions are being liquidated, typically due to a sudden drop in the price of the asset being traded. Traders who were bullish on the asset and had opened long positions will face losses as the market moves against them.
On the other hand, a short liquidation occurs when short positions are being liquidated, often triggered by a sudden spike in the price of the asset. Traders who were bearish on the asset and had opened short positions will face losses as the market moves against them.
🔹Liquidation Data
It's worth noting that liquidation data is not readily available on TradingView. However, we recognize the close correlation between liquidation data, trading volumes, and asset price movements. Therefore, this script analyzes accessible data sources, extracts necessary information, and offers an educated estimation of liquidation data. It's important to emphasize that the presented data doesn't reflect precise quantitative values of liquidations. Traders and analysts should instead focus on observing changes over time and identifying correlations between liquidation data and price movements.
🔶 SETTINGS
🔹Cryptocurrency Asset List
It is highly recommended to select instruments from the same exchange with the same currency to maintain proportional integrity among the chosen assets, as different exchanges may have varying trading volumes.
Supported currencies include USD, USDT, USDC, USDP, and USDD. Remember to use the same currency when selecting assets.
List of Crypto Assets: The default options feature the top 29 cryptocurrencies by market capitalization, currently listed on the Binance Exchange. Please note that only crypto assets are supported; any other asset type will not be processed or displayed. To maximize the utility of this tool, it is crucial to heed the warning message displayed above.
🔹Liquidation Heatmap Settings
Position: Specifies the placement of the liquidation heatmap on the chart.
Size: Determines the size of the liquidation heatmap displayed on the chart.
🔶 RELATED SCRIPTS
Liquidations-Meter
Liquidation-Estimates
Liquidation-Levels
Triple Anchored Volume Weighted Average Price [JustinPrime]This indicator provides three separate Volume Weighted Average Price (VWAP) calculations, each anchored from different key points on the chart:
High Anchored VWAP: Resets from the highest price reached since the start date.
Low Anchored VWAP: Resets from the lowest price since the start date.
Start Date VWAP: Calculated from the trading data beginning at the user-defined start date.
Features:
Selectable Timeframe: Choose from timeframes like 1 minute, 5 minutes, 15 minutes, 1 hour, daily, and weekly.
Custom Start Date: Set a specific start date for the VWAP calculations.
Source Data: Uses high, low, and close prices (HLC3) for calculations.
How to Use:
Adjust the start date to focus on significant market periods or events.
Differentiate each VWAP with unique colors for clarity.
Channels With NVI Strategy [TradeDots]The "Channels With NVI Strategy" is a trading strategy that identifies oversold market instances during a bullish trading market. Specifically, the strategy integrates two principal indicators to deliver profitable opportunities, anticipating potential uptrends.
2 MAIN COMPONENTS
1. Channel Indicators: This strategy gives users the flexibility to choose between Bollinger Band Channels or Keltner Channels. This selection can be made straight from the settings, allowing the traders to adjust the tool according to their preferences and strategies.
2. Negative Volume Indicator (NVI): An indicator that calculates today's price rate of change, but only when today's trading volume is less than the previous day's. This functionality enables users to detect potential shifts in the trading volume with time and price.
ENTRY CONDITION
First, the assets price must drop below the lower band of the channel indicator.
Second, NVI must ascend above the exponential moving average line, signifying a possible flood of 'smart money' (large institutional investors or savvy traders), indicating an imminent price rally.
EXIT CONDITION
Exit conditions can be customized based on individual trading styles and risk tolerance levels. Traders can define their ideal take profit or stop loss percentages.
Moreover, the strategy also employs an NVI-based exit policy. Specifically, if the NVI dips under the exponential moving average – suggestive of a fading trading momentum, the strategy grants an exit call.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Rolling Point of Control (POC) [AlgoAlpha]Enhance your trading decisions with the Rolling Point of Control (POC) Indicator designed by AlgoAlpha! This powerful tool displays a dynamic Point of Control based on volume or price profiles directly on your chart, providing a vivid depiction of dominant price levels according to historical data. 🌟📈
🚀 Key Features:
Profile Type Selection: Choose between Volume Profile and Price Profile to best suit your analysis needs.
Adjustable Lookback Period: Modify the lookback period to consider more or less historical data for your profile.
Customizable Resolution and Scale: Tailor the resolution and horizontal scale of the profile for precision and clarity.
Trend Analysis Tools: Enable trend analysis with the option to display a weighted moving average of the POC.
Color-Coded Feedback: Utilize color gradients to quickly identify bullish and bearish conditions relative to the POC.
Interactive Visuals: Dynamic rendering of profiles and alerts for crossing events enhances visual feedback and responsiveness.
Multiple Customization Options: Smooth the POC line, toggle profile and fill visibility, and choose custom colors for various elements.
🖥️ How to Use:
🛠 Add the Indicator:
Add the indicator to favorites and customize settings like profile type, lookback period, and resolution to fit your trading style.
📊 Market Analysis:
Monitor the POC line for significant price levels. Use the histogram to understand price distributions and locate major market pivots.
🔔 Alerts Setup:
Enable alerts for price crossing over or under the POC, as well as for trend changes, to stay ahead of market movements without constant chart monitoring.
🛠️ How It Works:
The Rolling POC indicator dynamically calculates the Point of Control either based on volume or price within a user-defined lookback period. It plots a histogram (profile) that highlights the level at which the most trading activity has occurred, helping to identify key support and resistance levels.
Basic Logic Overview:
- Data Compilation: Gathers high, low, and volume (if volume profile selected) data within the lookback period.
- Histogram Calculation: Divides the price range into bins (as specified by resolution), counting hits in each bin to find the most frequented price level.
- POC Identification: The price level with the highest concentration of hits (or volume) is marked as the POC.
- Trend MA (Optional): If enabled, the indicator plots a moving average of the POC for trend analysis.
By integrating the Rolling Point of Control into your charting toolkit, you can significantly enhance your market analysis and potentially increase the accuracy of your trading decisions. Whether you're day trading or looking at longer time frames, this indicator offers a detailed, customizable perspective on market dynamics. 🌍💹
[MAD] BTC ETF Volume In/OutflowThe " BTC ETF Volume In/Outflows" indicator is designed to analyze and visualize the volume data of various Bitcoin Exchange-Traded Funds (ETFs) across different exchanges. This indicator helps traders and analysts observe the inflows and outflows of trading volume in a structured and comparative manner.
Features
Multi-Ticker Support: The indicator is capable of handling volume data from multiple ETFs simultaneously, making it versatile for comparative analysis.
Volume Adjustments: Provides an option to view volume data either as the number of pieces (shares) traded or as monetary flow (value traded).
Compression Factor: Includes a volume compression factor setting that helps in emphasizing smaller volume changes or smoothing out volume spikes.
Data Calculation
Volume data is processed using a custom function that adjusts the data based on user settings for piece or monetary representation and applies a logarithmic compression factor.
This processed data is then fetched for each ticker.
Visualization
Volume data is visualized on the chart using column plots where each ETF's volume data is stacked and offset to provide a clear visual representation of in/outflows. Horizontal lines indicate the zero level for reference.
Usage Scenario
This indicator is particularly useful for traders who track multiple ETFs and need to compare their volume activities simultaneously. It provides insights into market trends, potentially indicating bullish or bearish shifts based on volume inflows and outflows across different instruments.
have fun :-)
RSI, STOCHASTIC RSI AND MFI COMBOCombining the Relative Strength Index (RSI), Stochastic RSI (StochRSI), and Money Flow Index (MFI) can provide traders with a comprehensive approach to analyze market momentum, overbought/oversold conditions, and money flow. Each indicator offers unique insights, and their combination can help confirm trading signals and filter out false signals. Let's delve into each indicator and then discuss how they can be used together:
Relative Strength Index (RSI) 14: DA BLUE LINE
The RSI is a momentum oscillator that measures the speed and change of price movements. It oscillates between 0 and 100 and is typically used to identify overbought (>70) and oversold (<30) conditions. A reading above 70 may indicate that an asset is overbought and could be due for a pullback, while a reading below 30 may suggest that an asset is oversold and could be due for a bounce.
Stochastic RSI (StochRSI) 14: DA RED LINE
The StochRSI is an oscillator that combines the features of both the Stochastic Oscillator and RSI. It measures the relative position of the RSI within its range over a specific period (e.g., 14 periods). Like the RSI, the StochRSI oscillates between 0 and 100 and is used to identify overbought and oversold conditions. Typically:
A StochRSI above 0.8 may suggest overbought conditions.
A StochRSI below 0.2 may indicate oversold conditions.
Money Flow Index (MFI) 14: DA PURPLE LINE
The MFI is a momentum oscillator that measures the inflow and outflow of money into an asset over a specific period (e.g., 14 periods). It oscillates between 0 and 100 and is used to identify overbought and oversold conditions based on both price and volume. Generally:
An MFI above 80 may indicate overbought conditions.
An MFI below 20 may suggest oversold conditions.
Combining RSI, StochRSI, and MFI:
When combining RSI, StochRSI, and MFI, traders can use the following approach to analyze the market:
Identify Overbought/Oversold Conditions:
Look for confluence between RSI, StochRSI, and MFI readings to identify overbought and oversold conditions.
For example, if RSI > 70, StochRSI > 0.8, and MFI > 80, it may suggest a strong overbought condition, potentially indicating a reversal or pullback.
Confirm Trend Strength:
Use the RSI, StochRSI, and MFI to confirm the strength of a trend.
A rising trend with RSI, StochRSI, and MFI above 50 may suggest strong bullish momentum, while a falling trend with readings below 50 may indicate strong bearish momentum.
Divergence Analysis:
Look for divergences between price and RSI, StochRSI, or MFI to identify potential trend reversals.
For example, if the price makes a higher high, but RSI, StochRSI, or MFI makes a lower high (bearish divergence), it may suggest weakening bullish momentum and potential downside.
Combining RSI, StochRSI, and MFI can offer traders a more holistic view of market momentum, overbought/oversold conditions, and money flow. Backtest it let me know your success.
PriceCatch Volume Analysis Fixed RangeHi TV Community.
It's been sometime since I published any script / utility. But today, I am back with a new script.
Volume Analysis
Studying volume when in trade or before taking one is very important as seasoned traders would tell you. So, this script helps you to look at volume over a specific interval from current bar. You will have to set the look-back period in the settings dialog.
The script will then show over that period :
Number of Up and Down bars
Volume Ratio of Up Volume over Down Volume
Actual Up and Down Volume
Percentage of Up Volume to Down Volume
I use this information in all my trades and hope that you will also find this Script useful.
To my knowledge, I have not seen another volume analysis script that helps see volume in the way this script does.
NOTE:
This script does not give any buy or sell signal if that is what you are looking for. But if you see that Up Volume is 3 times Down Volume, then that should mean something to you. So also when price is slipping down.
Disclaimer
I am sharing this Script without any warranties as to its usability. Use it only if you like it. As always when it comes to trading you and you alone are responsible for your actions.
All the best with your trades.
PriceCatch
MFI PRO### MFI Indicator Guide
This guide provides a detailed explanation of the "MFI KriptoFun" indicator, which is designed for use on the TradingView platform. This custom script helps traders visualize significant changes in volume and price range through the use of graphical shapes plotted on the trading chart.
#### Indicator Description:
The "MFI KriptoFun" indicator plots different shapes (circles and triangles) on the chart to signify specific trading signals based on volume and price range dynamics. Each shape and color represents a unique market condition, aiding traders in making informed decisions.
#### Shapes and Colors:
1. Gray Circle: Indicates that the current price range is greater than the previous period's, but the volume has decreased and the percentage decrease in volume is more than 10% compared to the previous period.
2. Blue Circle: Plotted when there is an increase in volume by at least 10% compared to the previous period, while the price range has decreased.
3. Green Circle: Appears when both volume and price range have increased compared to the previous period.
4. Red Circle: Shows a decrease in both volume and price range compared to the previous period.
5. Blue Triangle: This shape is used to denote an increase in both volume and price range, with the closing and opening prices of the current period falling within the same third of the price range (lower, middle, or upper). Additionally, there must be a significant volume difference of at least 10%.
#### How to Use:
- Installation: To use this indicator, simply add it to your TradingView chart by copying the Pine Script code into the Pine Editor and adding it to your chart.
- Interpretation:
- Gray Circle: Caution may be warranted as decreasing volume with increasing price range could indicate weakening momentum.
- Blue Circle: Potential bullish signal if accompanied by other positive indicators.
- Green Circle: Strong bullish signal suggesting increasing buyer interest.
- Red Circle: Bearish signal indicating potential downward movement.
- Blue Triangle: Strong bullish signal, particularly if confirmed by additional analysis.
#### Settings:
The indicator does not have configurable settings through input options; however, users can modify the source code to adjust thresholds or conditions as per their trading strategy.
#### Conclusion:
The "MFI KriptoFun" indicator provides a visual representation of significant market movements, helping traders identify potential buy or sell opportunities based on volume and price action. As with all trading tools, it is recommended to use this indicator in conjunction with other analyses to validate trading signals.
sVPSA - standardized Volume Price Spread AnalysisDear Analysts and Traders,
I want to introduce my new indicator - sVPSA - standardized Volume Price Spread Analysis. For me, this script is helpfully in Technical Analysis mainly with Wyckoff and VSA methodologies. Maybe You are in circle of people who used my previous script - normalized Volume Price Spread Analysis. I work with him a lot of time, but I come to a conclusion that I can do better...
Theory concept...
What is a big volume? How big was this spread? It was extreme high or just high? How to do an answer for this and a lot other questions related to this subject? My thoughts was directed to statistics. In my first script I used to x/max normalized data. It was good, but susceptible for high deviation events. So, I choose standardization method with smaller sensitivity on violent events - z-Score standardization Description of z-Score formula:
Z = (x-mean)/standard deviation
Probability of event are descriptive by probability density function - The Normal Distribution.
en.wikipedia.org
en.Wikipedia.org
This is base of script methodology, let’s go deeper in indicator.
X axis is time, date. Y axis is standard deviation. Narrow bar represent price spread, wide one is volume. Colors are corresponding to deviation, blue < sigma, green > sigma, red > 2*sigma and fuchsia > 3*sigma. Appearance is full editable.
Data collection starts from left to right. There is two possibilities to use, constans number of bars or visible data range, also indicator permit to overscore linear regression from data. There is a possibility to set an alert.
Short introduction how put an interpretation on visualized data.
For this example I used constans value of data collection, 52 bars. So, from left I see great, fuchsia volume bar with low spread. This record respond Celsius withdrawals pause. This is bar with the biggest volume on presented chart, more than four sigmas. Spread value is near one sigma. I should consider this via one of Wyckoffs laws - effort vs result. I see a three bars in turn, they tenor tells me that bear market is possible near end. Accumulation structure near new year, spring test and bullish momentum bar near march are approval of this idea. Next high spread bars have volume near mean value. Effort is low but result is great. Interesting is last bar, with -2,8 deviation of volume. I see the lowest volume value on chart, so he’s deviation is strong to negative side. This script require a little of practise and can be a potent tool in Technical Analysis.
If You have a concept how to improve my script or You experience bug, please, send me feedback.
I hope that You consider my work as useful.
I wish You great trades and faultless analysis.
CatTheTrader
Smart Money Interest Index [AlgoAlpha]🌟 Smart Money Interest Index by AlgoAlpha 🌟
Welcome to the innovative Smart Money Interest Index indicator, designed meticulously by AlgoAlpha to revolutionize the way you trade! 📈🧠 This indicator is engineered to decipher the activities of smart money investors relative to the less informed (dumb money) and dynamically display their dominance in the trading landscape through a sophisticated visual index. 🚀💹
🔑 Key Features:
- Smart vs. Dumb Money Analysis: Tracks and compares the movements of smart money (informed investors) and dumb money (general public) within the market to identify potential investment signals.
- Relative Strength Index (RSI) Based Ratios: Utilizes RSI for both smart and dumb money to create a ratio that indicates buying or selling pressures.
- Dynamic Normalization: Employs a long-term peak normalization over a customizable period to ensure the index remains relevant regardless of market conditions.
- Visual Thresholds and Signals: Highlights significant shifts in market dynamics with color-coded thresholds, making it easier to spot changes at a glance.
🛠 How to Use the Smart Money Interest Index:
🔹 🚀 Step 1: Adding the Indicator
- Add the indicator to your favourites.
- Customize the settings according to your analysis needs:
- `Index Period`, `Volume Flow Period`, `Normalization Period`, `High Interest Threshold`
🔹 📊 Step 2: Interpretation of the Index
- Monitor the index plot; a rising index suggests increasing smart money interest, potentially indicating a buying opportunity.
- A value above the high interest threshold (in yellow) highlights significant interest by smart money, suggesting a good time to buy.
🔹 🔔 Step 3: Setting Alerts
- Configure alerts to notify you when the index crosses above the set threshold, enabling you to capitalize on trading opportunities timely and efficiently.
📐 Basic Logic Overview:
The Smart Money Interest Index by AlgoAlpha provides a unique metric that contrasts the investment behaviors of informed (smart money) and general (dumb money) investors. Utilizing the Relative Strength Index (RSI), this indicator evaluates the trading pressure exerted by both groups over specified periods, then forms a ratio of these activities to identify dominance in buying or selling trends. For example, when we see dumb money selling and smart buying, this suggests that the conditions for buying the asset is optimal as smart money is willing to buy the dip. The outputs are normalized against the highest values observed in a user-defined term to maintain consistency through varying market conditions. When the index exceeds a certain threshold, it suggests that smart money presence is particularly strong, possibly indicating that smart money is looking to enter positions on the asset. This tool serves as a sophisticated visual guide to understanding market dynamics and making well-informed trading decisions based on the activities of market-savvy investors. Smart money activity is identified during areas of low volume and the opposite for dumb money, the indicator uses the NVI and PVI metrics as its foundation for smart and dumb money analysis.
📊 Enhance Your Trading Strategy:
Leverage the Smart Money Interest Index to gain deeper insights into market dynamics and enhance your decision-making process with a powerful, data-driven approach. Whether you're looking to identify entry points or set strategic exits, this tool is designed to provide you with the competitive edge you need in the fast-paced world of trading. 🌐✨
Transform your trading with the power of smart money analysis—start using the Smart Money Interest Index today! 🚀🔔
Relative Average Extrapolation [ChartPrime]Relative Average Extrapolation (ChartPrime) is a new take on session averages, like the famous vwap . This indicator leverages patterns in the market by leveraging average-at-time to get a footprint of the average market conditions for the current time. This allows for a great estimate of market conditions throughout the day allowing for predictive forecasting. If we know what the market conditions are at a given time of day we can use this information to make assumptions about future market conditions. This is what allows us to estimate an entire session with fair accuracy. This indicator works on any intra-day time frame and will not work on time frames less than a minute, or time frames that are a day or greater in length. A unique aspect of this indicator is that it allows for analysis of pre and post market sessions independently from regular hours. This results in a cleaner and more usable vwap for each individual session. One drawback of this is that the indicator utilizes an average for the length of a session. Because of this, some after hour sessions will only have a partial estimation. The average and deviation bands will work past the point where it has been extrapolated to in this instance however. On low time frames due to the limited number of data points, the indicator can appear noisy.
Generally crypto doesn't have a consistent footprint making this indicator less suitable in crypto markets. Because of this we have implemented other weighting schemes to allow for more flexibility in the number of use cases for this indicator. Besides volume weighting we have also included time, volatility, and linear (none) weighting. Using any one of these weighting schemes will transform the vwap into a wma, volatility adjusted ma, or a simple moving average. All of the style are still session period and will become longer as the session progresses.
Relative Average Extrapolation (ChartPrime) works by storing data for each time step throughout the day by utilizing a custom indexing system. It takes the a key , ie hour/minute, and transforms it into an array index to stor the current data point in its unique array. From there we can take the current time of day and advance it by one step to retrieve the data point for the next bar index. This allows us to utilize the footprint the extrapolate into the future. We use the relative rate of change for the average, the relative deviation, and relative price position to extrapolate from the current point to the end of the session. This process is fast and effective and possibly easier to use than the built in map feature.
If you have used vwap before you should be familiar with the general settings for this indicator. We have made a point to make it as intuitive for anyone who is already used to using the standard vwap. You can pick the source for the average and adjust/enable the deviation bands multipliers in the settings group. The average period is what determines the number of days to use for the average-at-time. When it is set to 0 it will use all available data. Under "Extrapolation" you will find the settings for the estimation. "Direction Sensitivity" adjusts how sensitive the indicator is to the direction of the vwap. A higher number will allow it to change directions faster, where a lower number will make it more stable throughout the session. Under the "Style" section you will find all of the color and style adjustments to customize the appearance of this indicator.
Relative Average Extrapolation (ChartPrime) is an advanced and customizable session average indicator with the ability to estimate the direction and volatility of intra-day sessions. We hope you will find this script fascinating and useful in your trading and decision making. With its unique take on session weighting and forecasting, we believe it will be a secret weapon for traders for years to come.
Enjoy
[Wiseplat Sideways] v.04The Sideway indicator for TradingView is a powerful tool designed to identify periods of sideways or ranging price action in the market. With its intuitive interface and customizable parameters, traders can easily spot when an asset is consolidating, providing valuable insights for both trend-following and range-bound strategies.
This indicator utilizes really simple algorithm to analyze price movement and volatility, effectively filtering out noise and false signals. By plotting clear visual cues on the chart.
Traders can adjust the sensitivity parameters to tailor the indicator to their specific trading style and preferences. Whether used in isolation or in conjunction with other technical analysis tools, the Sideway indicator empowers traders to make informed decisions in dynamic market conditions.
Its user-friendly design and simple settings of parameters makes it accessible to traders of all levels, from beginners seeking clarity in choppy markets to seasoned professionals looking for confirmation of their analysis. With the Sideway indicator, traders can confidently navigate sideways price action and stay ahead of the curve in their trading endeavors.
Developer: Oleg Shpagin
Money Flow DashboardThe Money Flow Dashboard is my take on trying to replicate the great and mighty Market Cipher's Money Flow and pack it into a comprehensive dashboard format with access to various timeframes.
If Money Flow is king 👑, then follow the Money 💸
How to Use Money Flow Dashboard:
1. Timeframe Selection: Choose the relevant timeframes based on your trading style and preferences. Enable or disable timeframes in the settings to focus on the most relevant ones for your strategy.
2. Dashboard Interpretation: The Money Flow Dashboard displays green (🟢) and red (🔴) symbols to indicate when the Money Flow is in green or in red zone. You can also leverage the Money Flow values on the dashboard to better interpret sentiment and its changes.
3. Dashboard Placement: To maximize effectiveness, consider placing the Money Flow Dashboard alongside your Market Cipher indicator, allowing for seamless analysis of market dynamics on multiple timeframes at the same time.
4. Confirmation and Strategy: Consider Money Flow Dashboard signals as confirmation for your trading strategy. For instance, in an uptrend, look for long opportunities when the dashboard displays consistent green symbols. Conversely, in a downtrend, focus on short opportunities when red symbols dominate.
5. Risk Management: As with any indicator, use Money Flow Dashboard in conjunction with proper risk management techniques. Avoid trading solely based on indicator signals; instead, integrate them into a comprehensive trading plan.
