BANKNIFTY STOCKS VWAP PlotsThis script plots a line in different colors based on how many high weightage stocks of banknifty are under vwap.
WORKS BEST on 1m and 2m candles.
stocks used to track are :
HDFC BANK
ICICI BANK
KOTAK BANK
SBI
INDUSIND BANK
If > 80% are below vwap then RED
If > 60% to < 80% below vwap then orange
if > 40% and < 60% below vwap then yellow
if < 40% below vwap then green
Any suggestions to add extra indicators is most welcomed.
Sentiment
Cumulative TICK Trend[Pt]Cumulative TICK Trend indicator is a comprehensive trading tool that uses TICK data to define the market's cumulative trend. Trend is shown on ATR EMA bands, which is overlaid on the price chart. Cumulative TICK shown on the bottom pane is for reference only.
Main features of the Cumulative TICK Trend Indicator include:
Selectable TICK Source: You have the flexibility to choose your preferred TICK source from the following options, depending on the market you trade: USI:TICK, USI:TICKQ, USI:TICKI, and USI:TICKA.
TICK Data Type: Select the type of TICK data to use, options include: Close, Open, hl2, ohlc4, hlc3.
Simple Moving Average (SMA): You can choose to apply an SMA on the calculated Cumulative TICK values with a customizable length.
Average True Range (ATR) Bands: It provides the option to display ATR bands with adjustable settings. This includes the ATR period, EMA period, source for the ATR calculation, and the ATR multiplier for the upper band.
Trend Color Customization: You can customize the color of the bull and bear trends according to your preference.
Smooth Line Option: This setting allows you to smooth the ATR Bands with a customizable length.
How it Works:
This indicator accumulates TICK data during market hours (9:30-16:00) as per the New York time zone and resets at the start of a new session or the end of the regular session. This cumulative TICK value is then used to determine the trend.
The trend is defined as bullish if the SMA of cumulative TICK is equal to or greater than zero and bearish if it's less than zero. Additionally, this indicator plots the ATR bands, which can be used as volatility measures. The Upper ATR Band and Lower ATR Band can be made smoother using the SMA, according to the trader's preference.
The plot includes two parts for each trend: a stronger color (Red for bear, Green for bull) when the trend is ongoing, and a lighter color when the trend seems to be changing.
Remember, this tool is intended to be used as part of a comprehensive trading strategy. Always ensure you are managing risk appropriately and consulting various data sources to make informed trading decisions.
VISION 1.0Introducing the VISION Indicator:
The VISION Indicator is an advanced tool that empowers users to analyze and predict market trends by utilizing three distinct boxes: Box A, Box B, and Box C. Each box represents a specific time range, allowing users to customize their analysis based on their preferred intervals.
Located at the top panel of the indicator, users can easily identify which boxes have a higher likelihood of representing the high or low points of the day. This information assists traders in focusing their attention on the specific boxes that are more likely to contain significant market turning points.
To provide additional insights, the indicator incorporates color-coded panels on the right side. These panels enhance the usability of the indicator by offering valuable information on accuracy and volume characteristics.
The red panel indicates the most accurate predictions for the low of the day. By examining this panel, traders can quickly determine which box historically demonstrates a higher probability of correctly predicting the market's lowest points.
Similarly, the green panel highlights the most accurate predictions for the high of the day. This panel provides traders with a visual representation of which box has historically shown a higher probability of correctly predicting the market's highest points.
Additionally, the blue panel showcases the box with the highest volume percentage. Traders can leverage this information to gauge the intensity of trading activity within different time intervals. By understanding volume patterns, traders can make informed decisions about optimal entry and exit points.
Overall, the VISION Indicator offers a comprehensive visual representation of different time intervals and their respective probabilities for market highs, lows, and trading volume. With this valuable tool, traders can gain insights into potential market trends and make informed trading decisions based on historical patterns and volume analysis.
Investor Satisfaction/Price Divergence Ox_kali The "Investor Satisfaction/Price Divergence" is an indicator designed to quantify investor satisfaction and pinpoint potential price divergences.
The primary goal of this indicator is to provide a reliable tool for gauging investor sentiment and identifying price divergences. These insights can be instrumental in predicting possible market trend reversals.
Key Features
Calculation of the highest and lowest prices over a user-defined period.
Computation of the average satisfaction of investors who have invested over a user-defined period.
Normalization of average satisfaction between 0 and 1 to provide a standardized measure of investor sentiment.
Identification of price divergence between the normalized satisfaction and the actual asset price.
Detection of anomalies in satisfaction change, which can suggest unusual market conditions.
Plotting an histogram display of the difference between normalized satisfaction and price divergence.
Functionality Analysis:
This indicator begins by identifying the highest and lowest prices over a period defined by the user. It then calculates the average investor satisfaction based on the change in the closing price from the investment point to the current price, relative to the range between the highest and lowest prices.
This satisfaction measure is then normalized between 0 and 1, providing a uniform measure of investor sentiment. The indicator also identifies potential price divergence by comparing the normalized satisfaction with the normalized price. This divergence is then plotted as a histogram, with the color of the histogram bars indicating whether the market is oversold, overbought, or in a normal state. Anomalies in satisfaction change are highlighted, helping traders to spot unusual market behavior.
Trading Application
The "Investor Satisfaction & Price Divergence" indicator can be incorporated into a variety of trading strategies. A significant divergence between normalized satisfaction and the asset price can signal a potential market reversal. Additionally, a sudden drop or rise in investor satisfaction could indicate a sell-off or a buying spree, respectively. Additionally, the capability to spot irregularities in satisfaction change may be useful in recognizing unusual market conditions, possibly providing early indications of noteworthy market events
Please note that the investor Satisfaction/Price Divergence by Ox_kali is provided for educational purposes only and is not meant to constitute financial advice. Thi indicator is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
Session Filter [Trendoscope]🎲 Session Filter: A Customisable Trading Indicator for Defining Preferred Trade Sessions
Session Filter is a simple trading indicator that enables traders to define their preferred trading sessions and optimise their approach based on individual preferences. By providing a range of flexible customisation options, Session Filter can help traders reduce risk, increase accuracy, by helping them to adhere to their trading sessions. Features include
🎯 Customisable Trading Sessions
One of the key features of Session Filter is the ability to select from four different trading sessions. These sessions are designed to be flexible, making it easy to tailor your approach to specific markets, assets, and trading styles. By selecting the sessions that are most relevant to your strategy, you can reduce the risk of making trades during less favourable market conditions.
For example, if you prefer to trade during the Asian session, you can set the session times to "Asian Session" in input settings. This will highlight the specific times when the Asian markets are open, allowing you to focus your trading activity during these periods. By doing so, you can avoid trading during times when the market is less active or more volatile.
🎯 Customisable Timezone and Days of the Week:
In addition to customisable trading sessions, Session Filter also allows users to select a timezone and specific days of the week. This ensures that the displayed trading zones and signals are aligned with your local time, and that you can tailor your approach to your preferred schedule. This is particularly useful for traders who have other commitments, or who prefer to focus on specific markets or assets on certain days.
For example, if you are based in New York and prefer to trade during the European session, you can select the "European Session" option in Session Filter and adjust the timezone to reflect your local time. You can also select specific days of the week when you prefer to trade during the European session, such as Tuesday through Thursday. This allows you to optimize your approach based on your personal preferences and schedule.
🎯 Easy Visual Interpretation:
Session Filter uses green and red overlays on the chart to indicate the trading zones, making it easy for users to visually identify their trading sessions
For example, when a green overlay is displayed on the chart, this indicates that the market is within the selected trading session and that it may be a good time to start trade. Conversely, when a red overlay is displayed, this indicates that the market is outside of the selected trading session and that it may be a good time close all trading. By providing this visual feedback, Session Filter helps traders stay focused and disciplined, and avoid making impulsive trading decisions.
🎯Force Exit Signal for Risk Management:
Session Filter also offers the ability to generate a force exit signal when not in any of the selected sessions. This can be used in conjunction with alerts to exit all trades outsize session zone.
For example, if you are using Session Filter to trade during the European session, but the market is particularly volatile during a specific day, the force exit signal will be generated to indicate that it may be a good time to exit your trade. This helps you avoid potential losses and stay disciplined during periods of market turbulence.
🎯External Signal Plots:
In addition to the chart overlays, Session Filter also plots signals on the data window that can be used as external inputs in other indicators and strategies. This feature allows traders to incorporate the signals generated by Session Filter into their existing trading systems and this can be used as additional filters on an existing strategy or methodology.
🎯Alerts using Alert Conditions
Alerts are provided for start and end of session so that users can make use of it to set auto turn on or off their bots.
Settings are pretty simple and are explained here.
Market Order Bubbles + Trapped Positions [Pt]"Market Order Bubbles + Trapped Positions" is a multifaceted TradingView indicator, employing volume data to depict intensified market activities. By highlighting aggressive buying/selling behaviors, this tool serves as a dependable aid in pinpointing potential trading reversals. Additionally, it proves an effective device for real-time market trend monitoring. The unique ability of this indicator to spotlight 'Trapped Positions'—resulting from such vigorous trading activity—helps identify crucial price levels or ranges that may lead to significant price responses.
Market Order Bubbles
The Market Order Bubbles feature capitalizes on volume data to estimate market orders. High bullish volume is indicative of a surge in buy orders, while strong bearish volume flags an increase in sell orders. These orders are visually represented by bubbles of different sizes, corresponding directly to the volume strength, thus providing traders with an immediate, intuitive understanding of market activity.
Trapped Positions/Zones
The concept of Trapped Positions emerges when sizable buy orders appear during a bearish market trend, or vice versa. For instance, if a considerable sell order is detected during a bullish uptrend, it signifies that those short positions may be 'trapped'. These positions help in plotting potential price range zones. When the price revisits these zones and the market trend maintains its bullish inclination, trapped shorts might opt for liquidation near break-even to mitigate losses. The reverse holds true in a bearish downtrend.
Trend Follower
The Trend Follower feature is a supportive tool that aims to discern price trends, color-coding candle bars for clarity. This function assists traders by presenting a simplified view of the prevailing trend, helping to minimize distractions caused by minor price shifts.
The utility of the Trend Follower is its ability to aid traders in focusing on the larger market direction. It allows traders to concentrate on the more substantial trend and make decisions that align with this broader market movement, rather than reacting to every minor price fluctuation. As a result, this feature may support traders in maintaining their positions for a longer duration, which could potentially enhance their trading outcomes. The Trend Follower, therefore, offers a helpful contribution to a balanced and effective trading approach.
In essence, the "Market Order Bubbles + Trapped Positions" indicator with its Trend Follower feature provides traders with a comprehensive understanding of market dynamics, allowing them to navigate the financial markets with increased precision and confidence. Its unique features, designed to highlight significant market activities and trends, can greatly aid in refining trading strategies, making it a potentially invaluable tool in a trader's arsenal.
BANKNIFTY position screenerThe script takes present day's price range of the stocks (stocks of the Index being tracked included in this screener) into account, to hint strength or weakness in the underlying Index (for example: BANKNIFTY here). The day's price range of a stock is gauged on a scale of 0-100, where 0 is Day's price low and 100 is day's price high.
If a stock is in 90-100 price range section the cell with title "90" illuminates hinting the stock is trading near day's high.
Likewise, if a stock is in 0-10 price range section the cell with title "10" illuminates hinting that the stock is trading near day's low.
The price range of 10-25 is represented in the cell titled "25"
The price range of 75-90 is represented in the cell titled "75"
Only one cell from the day's range illuminates at a time for a stock, signaling the present position of that stock in the Day's range at that instant.
The script works best above 10 second time frame.
Idea: If majority of the heavy weight stocks of the Index being tracked are trading near Day's high the underlying Index must be going strong at that very instant and Vice versa.
Disclaimer: Only for studying Index movement ideas intraday, trading is not advised.
Market Order Bubbles - By Leviathan"Market Order Bubbles" is a volume-based indicator that helps visualize the occurrences of increased aggressiveness in market buying/selling and can serve as a useful confluence for trading reversals or as a simple tool for observing real-time market dynamics.
I created Market Order Bubbles six months ago as an additional tool included in my Liquidation Levels script. Due to their popularity, I decided to publish them as a standalone indicator with some new features. The script is based on a calculation that uses volume data (imitation of CVD) and price action to estimate where there is a surge in the quantity and magnitude of market buy and sell orders. These occurrences are visualized with circles (bubbles) that appear above the bar (market buy orders) or below the bar (market sell orders). Most of the time, the approach to interpreting the bubbles is contrarian, meaning that the appearance of Market Buy Order Bubbles can serve as a confluence to look for shorts, and the appearance of Market Sell Order Bubbles can serve as a confluence to look for longs.
The concept behind taking a contrarian approach:
Market Buy Order Bubbles appear above the price and possibly signal the following:
- Short positions being liquidated (exit short = buy order)
- New traders entering late longs based on FOMO (enter long = buy order)
- Smarter traders getting their limit sell orders filled by aggressive buyers/stopped out shorts
⇒ Possible reversal to the downside / short-term pullback / start of ranging price action (PA)
Market Sell Order Bubbles appear below the price and possibly signal the following:
- Long positions being liquidated (exit long = sell order)
- New traders entering late shorts based on FOMO (enter short = sell order)
- Smarter traders getting their limit buy orders filled by aggressive sellers/stopped out longs
⇒ Possible reversal to the upside / short-term pullback / start of the ranging PA
These events are identified and filtered by EMA and STDEV-based "thresholds," which can be modified in the indicator settings.
1. If the buy/sell volume exceeds the first threshold, a Small Bubble is displayed.
2. If the buy/sell volume surpasses the second threshold, a Medium Bubble is displayed.
3. If the buy/sell volume exceeds the third threshold, a Large Bubble is displayed.
Increasing the multipliers effectively increases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
Decreasing the multipliers effectively decreases the threshold for a given bubble to appear, making the conditions for its occurrence less strict.
Settings Overview
"Bubble Position" - Choose whether the bubbles are displayed above/below the candle, at the candle high/low, or at the intrabar POC of the candle.
"Strength Gradient Color" - This option adjusts the transparency of the bubble's color relative to the volume on that bar.
"Threshold EMA Length" - Choose the length of the EMA used for determining the thresholds.
"Threshold STDEV Length" - Choose the length of the ta.stdev() function used on the EMA.
"Appearance Delay" - This input allows you to delay the appearance of the bubble for x number of bars. The default is 0.
"Show POC" - Show/hide intrabar POCs displayed as "-".
"Timeframe-Adjusted Settings" - Different timeframes might require different parameters. In this section, you can set custom parameters (Lengths and Multipliers) for four different timeframes, and the script will automatically switch to those settings as you browse through different timeframes.
Aggregated Funding RateThis funding rate indicator combines data from two of the largest cryptocurrency exchanges, BitMex and Binance, and supports USD, USDT, and BUSD currency pairs. Moreover, it covers a wide range of 31 different crypto assets to choose from, providing users with a comprehensive view of the funding rate for each asset.
The aggregation is formed by calculating the funding rate of the cryptocurrency for each perpetual chart respectively (Binance - USDT & BUSD and BitMex - USDT & USD). The calculation itself is based on each exchange's official formula, hence the reasoning behind including only 4 sources, they are currently the only ones which can be calculated this way in Tradingview.
Afterwards, it is either summed or averaged based on the user input. Additionaly, the user may choose freely which of the four sources will be included.
What is Funding Rate ?
The funding rate is the cost of holding a cryptocurrency position on a futures exchange. It is essentially an interest rate paid by the long or short position holder to the counterparty. If the funding rate is positive, longs pay shorts, and if it is negative, shorts pay longs. This rate is adjusted periodically, typically every eight hours, to ensure that the futures price of the cryptocurrency remains close to its spot price.
Utility :
The funding rate indicator can be used in a variety of ways. Traders can use it to gauge the sentiment of the market. If the funding rate is consistently positive, it suggests that there is more demand for long positions than short positions, indicating that the market is bullish. On the other hand, if the funding rate is consistently negative, it suggests that there is more demand for short positions than long positions, indicating that the market is bearish.
In addition, the funding rate indicator can be used to identify potential trading opportunities. If the funding rate is significantly higher than usual, it may indicate that longs are overpaying shorts, creating a potential arbitrage opportunity. Alternatively, if the funding rate is significantly lower than usual, it may indicate that shorts are overpaying longs, creating a potential arbitrage opportunity in the opposite direction.
Key Features
Aggregation type
31 supported cryptocurrencies
Simple or Depth style options
Sources to aggregate
BTC bottom top MACRO indicator based on: Cost per transaction(w)Predicting tops and bottoms in any market is a challenging task, and the Bitcoin market is no exception. Many traders and analysts use a combination of various indicators and models to help them make educated guesses about where the market might be heading. One such metric that can provide valuable insights is the Bitcoin cost per transaction indicator.
Here's how it could potentially be superior to just using price action for predicting macro tops and bottoms:
Transaction Cost as an Indicator of Network Activity: The cost per transaction on the Bitcoin network can give an indication of how much activity is taking place. When transaction costs are high, it may signal increased network usage, which often coincides with periods of market enthusiasm or FOMO (Fear of Missing Out) that can precede market tops. Conversely, lower transaction costs might indicate reduced network activity, potentially signaling a lack of investor interest that might precede market bottoms.
Reflects Real-World Use and Demand: Unlike price action, which can be influenced by speculative trading and may not always reflect the underlying fundamentals, the cost per transaction is directly tied to the use of the Bitcoin network. It offers a more fundamental approach to understanding market dynamics.
Complements Price Action Analysis: While price action can give signals about potential tops and bottoms based on historical price patterns and technical analysis, the cost per transaction can add an additional layer of information by reflecting network activity. In this way, the two can be used together to give a more complete picture of the market.
May Precede Price Changes: Changes in transaction costs could potentially precede price changes, giving advanced warning of tops and bottoms. For instance, a sudden increase in transaction costs might indicate a surge in network activity and investor interest, potentially signaling a market top. On the other hand, a decrease in transaction costs might suggest declining network activity and investor interest, potentially signaling a market bottom.
However, it's important to note that while the cost per transaction can provide valuable insights, it's not a foolproof method for predicting market tops and bottoms. Like all indicators, it should be used in conjunction with other tools and analysis methods, and traders should also consider the broader market context. As always, past performance is not indicative of future results, and all trading and investment strategies carry the risk of loss.
Liquidation Levels on OIThis indicator is used to display estimated contract liquidation prices. When there are dense liquidation areas on the chart, it indicates that there may be a lot of liquidity at that price level. The horizontal lines of different colors on the chart represent different leverage ratios. See below for details.
Let me introduce the principle behind this indicator:
1. When position trading volume increases or decreases significantly higher than usual levels in a specific candlestick chart, it indicates that a large number of contracts were opened during that period. We use the 60-day moving average change as a benchmark line. If the position trading volume changes more than 1.2x, 2x or 3x its MA60 value, it is considered small, medium or large abnormal increase or decrease.
2. This indicator takes an approximate average between high, open, low and close prices of that candlestick as opening price.
3. Since contracts involve liquidity provided by both buyers and sellers with equal amounts of long and short positions corresponding to each contract respectively; since we cannot determine actual settlement prices for contract positions; therefore this indicator estimates settlement prices instead which marks five times (5x), ten times (10x), twenty-five times (25x), fifty times (50x) and one hundred times (100x) long/short settlement prices corresponding to each candlestick chart generating liquidation lines with different colors representing different leverage levels.
4. We can view areas where dense liquidation lines appear as potential liquidation zones which will have high liquidity.
5. We can adjust orders based on predicted liquidation areas because most patterns in these areas will be quickly broken.
6. We provide a density histogram to display the liquidation density of each price range.
Special thanks to the following TradingView community members for providing open-source indicators and contributing to the development of this indicator!
Liquidation - @Mysterysauce
Open Interest Delta - By Leviathan - @LeviathanCapital
Regarding the relationship with the above-mentioned open source indicators:
1. Indicator Liquidation - @Mysterysauce can also draw a liquidation line in the chart, but:
(1) Our indicator generates a liquidation line based on abnormal changes in open interest; their indicator generates a liquidation line based on trading volume.
(2) Our indicator will generate both long and short liquidation lines at the same time; their indicator will only generate a liquidation line in a single direction.
We refer to their method of drawing liquidation lines when drawing our own.
2. Indicator Open Interest Delta - By Leviathan - @LeviathanCapital obtained OI data for Binance USDT perpetual contracts in the code. We refer to their method of obtaining OI data in our code.
============= 中文版本 =============
此指标用于显示估计合约清算价格。当图表上有密集的清算区域时，表示该价格水平可能存在大量流动性。图表上不同颜色的水平线代表不同杠杆比率。详情请参见下面的说明。
让我介绍一下这个指标背后的原理：
1. 当特定蜡烛图对应的合约仓位增加量（OI Delta）显著高于通常水平时，表示在那段时间有大量合约开仓。我们使用OI Delta的60日移动均线作为基准线。如果OI Delta超过其MA60值的1.2倍、2倍或3倍，则认为是小型、中型或大型的异常OI Delta。
2. 该指标将上述蜡烛图高、开、低和收盘价的平均值作为近似的合约开仓价。
3. 由于合约涉及买方和卖方之间相互提供流动性，每个合约对应相等数量的多头和空头头寸。由于我们无法确定合约头寸的实际清算价格，因此该指标估计了清算价格。它标记了与该蜡烛图相对应的多头和空头5倍、10倍、25倍、50倍和100倍的清算价格，生成清算线。不同杠杆水平用不同颜色表示。
4. 我们可以将出现密集清算线的区域视为潜在的清算区域。这些区域将具有高流动性。
5. 我们可以根据预测到的清算区域调整自己的订单，因为根据规律，这些清算区域大部分都会很快被击穿。
6. 我们提供了密度直方图来显示每个价格范围的清算密度
特别感谢以下TradingView社区成员提供开源指标并为该指标的开发做出贡献！
Liquidation - @Mysterysauce
Open Interest Delta - By Leviathan - @LeviathanCapital
与上述开源指标的关系：
1. 指标Liquidation - @Mysterysauce也可以在图中绘制清算线，但是：
（1）我们的指标是基于open interest的异常变化生成的清算线；他们的指标是基于成交量生成的清算线
（2）我们的指标会同时生成多头和空头清算线；他们的指标仅会在单一方向生成清算线
我们的指标在绘制清算线上参考了他们绘制清算线的方式
2. 指标Open Interest Delta - By Leviathan - @LeviathanCapital在代码中获取了Binance USDT永续合约的OI数据。我们在代码中参考他们获取OI数据的方式
Open Interest OffsetThis indicator is used to display whether there has been an abnormal increase or decrease in recent contract positions. Its usage is similar to the RSI indicator.
Please note that this indicator uses fixed (customizable) thresholds of 0.4 and 0.6 to indicate when abnormal opening and closing occur respectively. For some altcoins, their values may far exceed 0.4 so please adjust accordingly based on your symbol.
(1) When there is an abnormal increase in recent contract positions, the value of the indicator will be above 0.4. This means that there may be a liquidation market situation occurring subsequently. If the market background at this time is rising, it may not be suitable to continue buying because the indicator shows that it is currently overbought. On the contrary, it may be appropriate to sell now.
(2) When there is an abnormal decrease in recent contract positions, the value of the indicator will be below -0.4. This means that a liquidation market situation has occurred recently. If the market background at this time is falling, it may not be suitable to continue shorting because the indicator shows that it is currently oversold. On the contrary, it may be appropriate to buy now.
Special thanks to the following TradingView community members for providing open-source indicators and contributing to the development of this indicator!
Open Interest Delta - By Leviathan - @LeviathanCapital
Regarding the relationship with the above-mentioned open source indicator:
Indicator Open Interest Delta - By Leviathan - @LeviathanCapital obtained OI data for Binance USDT perpetual contracts in the code. We refer to their method of obtaining OI data in our code.
============= 中文版本 =============
该指标用于显示近期合约持仓量是否有异常的增加和减少。它的用法类似于RSI指标
请注意，该指标使用了固定的（可定制的）阈值0.4和0.6来提示异常开仓和平仓的发生。对于某些山寨币而言，指标的数值可能远大于0.4。请根据你所关注的标的自行调整
（1）当近期合约持仓量有异常的增加时，指标的值会在0.4以上。这意味着后续可能有清算行情的发生。若此时市场背景为上涨，此时可能不太适合继续做多，因为指标显示目前处于超买行情。相反，现在可能适合卖出
（2）当近期合约的持仓量有异常的减少时，指标的值会在-0.4以下。这意味着近期已经发生了清算行情。若此时市场背景为下跌，此时可能不太适合继续做空，因为指标显示目前处于超卖行情。相反，现在可能适合买入
特别感谢以下TradingView社区成员提供开源指标并为该指标的开发做出贡献！
Open Interest Delta - By Leviathan - @LeviathanCapital
与上述开源指标的关系：
指标Open Interest Delta - By Leviathan - @LeviathanCapital在代码中获取了Binance USDT永续合约的OI数据。我们在代码中参考他们获取OI数据的方式
KDJ-RSI Buy/Sell Signal ver. 1It is an indicator combining the RSI indicator and KDJ indicator.
Buy signal will triggers when:
RSI signal positioning below 25
J value crosses below 0
Sell signal will triggers when:
RSI signal positioning above 85
J value crosses above 100
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Please take note that this indicator may be not accurate for every chart in the crypto market, but it is most appropriate to use it in BTC/USDT charts, mainly for 1h, 4h, and 1d candles. Not recommended to use it for 1m or 15m leverage trades, this indicator might be altered by FOMO sentiment.
Market Breadth Ratio+ [Pt]This is a + version of my original Market Breadth Ratio Indicator
DESCRIPTION
The Market Breadth Ratio+ indicator is a tool that can help traders gain a more comprehensive understanding of market breadth by providing a ratio between Up volume (UVOL) and Down volume (DVOL).
While the VOLD indicator provides a straightforward measure of the difference between UVOL and DVOL, it doesn't account for the rate of change. The Market Breadth Ratio+ indicator, on the other hand, takes the rate of change into account, providing a plot line that is easier to interpret and understand.
The Up Volume vs Down Volume Ratios measure the strength of buying versus selling pressure in the market. A ratio greater than 1 indicates that there is more buying pressure, while a ratio less than -1 indicates more selling pressure. The ratio is calculated by dividing the total volume of stocks that closed up on the day by the total volume of stocks that closed down.
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This script includes the following premium unique features.
1) Custom Moving Average line for Breadth Ratio line. There are a few MA type to choose from: SMA, EMA, RMA, WMA, VWMA, HMA
- This feature provide a smoother plot for better interpretation of the market trend
- MA crossovers can also be used as trend reversal signals
2) Breadth Strength Index (BSI)
- This graph shows the relative strength of the Breadth Ratio. This is a momentum based oscillator that measure the rate of change of the Breadth Ratio. It shows the strength and weakness in the Breadth Ratio plot.
- A bar close to 1 means the market is very strong in the Bullish direction, conversely, a bar close to -1 means the market is very weak, but very strong in the Bearish direction
- Above 0 shows Bullish strength
- Below 0 shows Bearish strength
3) Two display modes for Breadth Strength Index
- Histogram
- Line
- These can be combined to show different markets together, such as NYSE and NASDAQ
4) Custom Moving Average can be applied to the BSI
- This will provide smoother graph for easier interpretation
5) Aggregated Market Strength
- This feature combines the BSI of multiple markets, such as NYSE and NASDAQ, to provide a more comprehensive view of the overall US market. Often time, one of these indices will have a stronger 'pull' on the entire market. By observing the dominant color (of your choosing), you can see which index is pulling the market. And by trading the market that has the bigger pull, traders can leverage on the possible higher volatility for greater trade opportunities.
6) Custom Moving Average can be applied to the Aggregated Market Strength
- This will provide smoother graph for easier interpretation
7) Show alternating trend colors on Aggregated Market Strength
- This provides an intuitive view of the market strength that's based on market breadth ratio
Trend Angle Candle ColorIntroduction:
As a trader, understanding the trend of the market is crucial for making informed decisions. One way to gain insight into the market trend is by using technical indicators, which are mathematical calculations that provide traders with valuable information about price action. In this post, we will explore a unique indicator called the "Trend Angle Candle Color" that not only identifies the trend but also visualizes it using color-coded candlesticks. We'll dive into the script, discuss its key components, and explain how you can benefit from using it in your trading strategy.
Script Overview:
The Trend Angle Candle Color Indicator is written in the Pine Script language for the TradingView platform. The indicator utilizes a combination of Exponential Moving Average (EMA), Average True Range (ATR), and Epanechnikov Kernel function to calculate the trend angle, which is then represented by color-coded candlesticks. The script offers several customizable inputs, such as the length of the lookback period, the scale (sensitivity), and the smoothing factor.
Key Components of the Script:
Inputs:
Length: Determines the lookback period for calculating the trend.
Scale: Adjusts the sensitivity of the indicator.
Smoothing: Controls the degree of smoothing applied to the angle calculation.
Smoothing Factor: Adjusts the weight of the Epanechnikov Kernel function.
Functions:
grad(src): A function that takes an input value and returns a corresponding color from a predefined gradient.
ema(source): An Exponential Moving Average function that smoothens the price data.
atan2(y, x) and degrees(float source): Functions that convert the slope into an angle in radians and then into degrees.
epanechnikov_kernel(_src, _size, _h, _r): A function that applies the Epanechnikov Kernel smoothing method to the angle data.
Calculations:
ATR: Calculates the Average True Range using the EMA function.
Slope: Determines the slope of the price change over the specified lookback period.
Angle_rad: Converts the slope into an angle in radians.
Degrees: Applies the Epanechnikov Kernel smoothing function to the angle data and scales it to a range between 0 to 100.
Visualization:
Colour: Assigns a color to each candlestick based on the calculated degree value using the grad() function.
Barcolor(colour) and plotcandle(): Functions that display the color-coded candlesticks on the chart.
Benefits of Using the Trend Angle Candle Color Indicator:
Easy Visualization: The color-coded candlesticks provide a simple and intuitive way to understand the market trend direction and strength at a glance.
Customizable Parameters: The customizable inputs allow traders to fine-tune the indicator to their preferred settings, suiting their trading style and strategy.
Versatility: The Trend Angle Candle Color Indicator can be used across various timeframes and financial instruments, making it a valuable addition to any trader's toolkit.
Conclusion:
The Trend Angle Candle Color Indicator is a powerful tool that can enhance your trading strategy by providing a visual representation of the market trend. The unique combination of EMA, ATR, and Epanechnikov Kernel smoothing helps create a more accurate and easy-to-understand trend angle calculation. By incorporating this indicator into your trading analysis, you can gain better insight into market dynamics and make more informed trading decisions.
Trend AngleIntroduction:
In today's post, we'll dive deep into the source code of a unique trading tool, the Trend Angle Indicator. The script is an indicator that calculates the trend angle for a given financial instrument. This powerful tool can help traders identify the strength and direction of a trend, allowing them to make informed decisions.
Overview of the Trend Angle Indicator:
The Trend Angle Indicator calculates the trend angle based on the slope of the price movement over a specified period. It uses an Exponential Moving Average (EMA) to smooth the data and an Epanechnikov kernel function for additional smoothing. The indicator provides a visual representation of the trend angle, making it easy to interpret for traders of all skill levels.
Let's break down the key components of the script:
Inputs:
Length: The number of periods to calculate the trend angle (default: 8)
Scale: A scaling factor for the ATR (Average True Range) calculation (default: 2)
Smoothing: The smoothing parameter for the Epanechnikov kernel function (default: 2)
Smoothing Factor: The radius of the Epanechnikov kernel function (default: 1)
Functions:
ema(): Exponential Moving Average calculation
atan2(): Arctangent function
degrees(): Conversion of radians to degrees
epanechnikov_kernel(): Epanechnikov kernel function for additional smoothing
Calculations:
atr: The EMA of the True Range
slope: The slope of the price movement over the given length
angle_rad: The angle of the slope in radians
degrees: The smoothed angle in degrees
Plotting:
Trend Angle: The trend angle, plotted as a line on the chart
Horizontal lines: 0, 90, and -90 degrees as reference points
How the Trend Angle Indicator Works:
The Trend Angle Indicator begins by calculating the Exponential Moving Average (EMA) of the True Range (TR) for a given financial instrument. This smooths the price data and provides a more accurate representation of the instrument's price movement.
Next, the indicator calculates the slope of the price movement over the specified length. This slope is then divided by the scaled ATR to normalize the trend angle based on the instrument's volatility. The angle is calculated using the atan2() function, which computes the arctangent of the slope.
The final step in the process is to smooth the trend angle using the Epanechnikov kernel function. This function provides additional smoothing to the trend angle, making it easier to interpret and reducing the impact of short-term price fluctuations.
Conclusion:
The Trend Angle Indicator is a powerful trading tool that allows traders to quickly and easily determine the strength and direction of a trend. By combining the Exponential Moving Average, ATR, and Epanechnikov kernel function, this indicator provides an accurate and easily interpretable representation of the trend angle. Whether you're an experienced trader or just starting, the Trend Angle Indicator can provide valuable insights into the market and help improve your trading decisions.
Financial Radar Chart by zdmreRadar chart is often used when you want to display data across several unique dimensions. Although there are exceptions, these dimensions are usually quantitative, and typically range from zero to a maximum value. Each dimension’s range is normalized to one another, so that when we draw our spider chart, the length of a line from zero to a dimension’s maximum value will be the similar for every dimension.
This Charts are useful for seeing which variables are scoring high or low within a dataset, making them ideal for displaying performance.
How is the score formed?
Debt Paying Ability
if Debt_to_Equity < %10 : 100
elif < 20% : 90
elif < 30% : 80
elif < 40% : 70
elif < 50% : 60
elif < 60% : 50
elif < 70% : 40
elif < 80% : 30
elif < 90% : 20
elif < 100% : 10
else: 0
ROIC
if Return_on_Invested_Capital > %50 : 100
elif > 40% : 90
elif > 30% : 80
elif > 20% : 70
elif > 10% : 50
elif > 5% : 20
else: 0
ROE
if Return_on_Equity > %50 : 100
elif > 40% : 90
elif > 30% : 80
elif > 20% : 70
elif > 10% : 50
elif > 5% : 20
else: 0
Operating Ability
if Operating_Margin > %50 : 100
elif > 30% : 90
elif > 20% : 80
elif > 15% : 60
elif > 10% : 40
elif > 0 : 20
else: 0
EV/EBITDA
if Enterprise_Value_to_EBITDA < 3 : 100
elif < 5 : 80
elif < 7 : 70
elif < 8 : 60
elif < 10 : 40
elif < 12 : 20
else: 0
FREE CASH Ability
if Price_to_Free_Cash_Flow < 5 : 100
elif < 7 : 90
elif < 10 : 80
elif < 16 : 60
elif < 18 : 50
elif < 20 : 40
elif < 22 : 30
elif < 30 : 20
elif < 40 : 15
elif < 50 : 10
elif < 60 : 5
else: 0
GROWTH Ability
if Revenue_One_Year_Growth > %20 : 100
elif > 16% : 90
elif > 14% : 80
elif > 12% : 70
elif > 10% : 50
elif > 7% : 40
elif > 4% : 30
elif > 2% : 20
elif > 0 : 10
else: 0
relative performanceThis indicator is built to mesure the performance of a stock vs the index of choice. it is best use for the intraday session because it doesn't take gap into account when doing the calculation. This is how i made my math (using AAPL compared to SPY for simplicity)
(change AAPL / ATR AAPL) - (change SPY / ATR SPY) * beta factor * volume factor
change is calculated open to close for each candle instead of close to close. this is why gap does not affect the calculation
blue columns is an instant snap shot of the RP
red and green columns is the moving average of the blue columns
limit is the max value for the blue line when ploting them on the chart but doesn't affect the calculation
option:
indice: default with SPY but could use any stock
moving average choice: let you choose between EMA or SMA green and red columns
rolling average length : number of bar for the moving average
I made an auto adjust for the 5 min chart and the 2 min chart so you can swithc between both chart and have the same average (default value set to 6x 5min and 15x 2 min, giving you the average of the last 30min)
volume weighing let you choose if you want a volume factor or not. volume factor is only going to multiplie the result of the price move. it cannot move it from positive to negative.
this is the calculation
(volume AAPL / volume SMA AAPL) / (volume SPY / volume sma SPY)
meaning that a higher volume on the thicker compared to it's sma while having a lower volume on SPY will give you a big relative performance.
you can choose the number of bar in the average for the volume.
BETA factor work the same way that the volume factor does. you got to manualy enter your beta. default is set to 1.5
table
top line : blue square is you RP value (same has the blue columns bar) and your reference thicker
middle line : pourcentage move from the open (9:30 open) for your stock on the left and the reference on the right
bottom line : beta on the left and volume factor on the right
feel free to ask question or give modification idea!
US Market Strength Momentum [LG]This indicator is designed to analyze the relative strength momentum of two US market indices, the Russell 2000 and S&P 500, by calculating their rate of change over a 21-bar period and comparing them. The difference between the average rate of change for IWM and SPY is then plotted as a histogram, with green bars indicating positive momentum and red bars indicating negative momentum.
The indicator also includes a moving average line, calculated over a 200-bar period, which is plotted on top of the histogram. This moving average helps to smooth out the data and provide a clearer picture of the longer-term trend.
In this indicator, the strength of the Russell 2000 compared to S&P 500 is seen as a gauge of market participants' risk tolerance. When Russell outperforms the S&P, market participants are assumed to be taking on greater risk in search of greater beta. When the S&P outperforms Russell, the assumption is that market participants are fleeing to safer assets (in regards to equities indices). The time frame the indicator is viewed on as well as the size of the rate of change delta dictates the strength of the trend.
Radar RiderThe Radar Rider indicator is a powerful tool that combines multiple technical indicators into a single spider plot, providing traders with a comprehensive view of market conditions. This article will delve into the workings of each built-in indicator and their arrangement within the spider plot. To better understand the structure of the script, let's first examine some of the primary functions and how they are utilized in the script.
Normalize Function: normalize(close, len)
The normalize function takes the close price and a length as arguments and normalizes the price data by scaling it between 0 and 1, making it easier to compare different indicators.
Exponential Moving Average (EMA) Filter: bes(source, alpha)
The EMA filter is used to smooth out data using an exponential moving average, with the given alpha value defining the level of smoothing. This helps reduce noise and enhance the trend-following characteristics of the indicators.
Maximum and Minimum Functions: max(src) and min(src)
These functions find the maximum and minimum values of the input data over a certain period, respectively. These values are used in the normalization process and can help identify extreme conditions in the market.
Min-Max Function: min_max(src)
The min-max function scales the input data between 0 and 100 by dividing the difference between the data point and the minimum value by the range between the maximum and minimum values. This standardizes the data, making it easier to compare across different indicators.
Slope Function: slope(source, length, n_len, pre_smoothing = 0.15, post_smoothing = 0.7)
The slope function calculates the slope of a given data source over a specified length, and then normalizes it using the provided normalization length. Pre-smoothing and post-smoothing values can be adjusted to control the level of smoothing applied to the data before and after calculating the slope.
Percent Function: percent(x, y)
The percent function calculates the percentage difference between two values, x and y. This is useful for comparing the relative change in different indicators.
In the given code, there are multiple indicators included. Here, we will discuss each of them in detail.
EMA Diff:
The Exponential Moving Average (EMA) Diff is the difference between two EMA values of different lengths. The EMA is a type of moving average that gives more weight to recent data points. The EMA Diff helps traders identify trends and potential trend reversals. In the code, the EMA Diff is calculated using the ema_diff() function, which takes length, close, filter, and len_norm as parameters.
Percent Rank EMA Diff:
The Percent Rank EMA Diff is the percentage rank of the EMA Diff within a given range. It helps traders identify overbought or oversold conditions in the market. In the code, the Percent Rank EMA Diff is calculated using the percent_rank_ema_diff() function, which takes length, close, filter, and len_norm as parameters.
EMA Diff Longer:
The EMA Diff Longer is the difference between two EMA values of different lengths, similar to EMA Diff but with a longer period. In the code, the EMA Diff Longer is calculated using the ema_diff_longer() function, which takes length, close, filter, and len_norm as parameters.
RSI Filter:
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. The RSI Filter is the RSI value passed through a filter to smooth out the data. In the code, the RSI Filter is calculated using the rsi_filter() function, which takes length, close, and filter as parameters.
RSI Diff Normalized:
The RSI Diff Normalized is the normalized value of the derivative of the RSI. It helps traders identify potential trend reversals in the market. In the code, the RSI Diff Normalized is calculated using the rsi_diff_normalized() function, which takes length, close, filter, len_mad, and len_norm as parameters.
Z Score:
The Z Score is a statistical measurement that describes a value's relationship to the mean of a group of values. In the context of the code, the Z Score is calculated for the closing price of a security. The z_score() function takes length, close, filter, and len_norm as parameters.
EMA Normalized:
The EMA Normalized is the normalized value of the EMA, which helps traders identify trends and potential trend reversals in the market. In the code, the EMA Normalized is calculated using the ema_normalized() function, which takes length, close, filter, and len_norm as parameters.
WMA Volume Normalized:
The Weighted Moving Average (WMA) Volume Normalized is the normalized value of the WMA of the volume. It helps traders identify volume trends and potential trend reversals in the market. In the code, the WMA Volume Normalized is calculated using the wma_volume_normalized() function, which takes length, volume, filter, and len_norm as parameters.
EMA Close Diff Normalized:
The EMA Close Diff Normalized is the normalized value of the derivative of the EMA of the closing price. It helps traders identify potential trend reversals in the market. In the code, the EMA Close Diff Normalized is calculated using the ema_close_diff_normalized() function, which takes length, close, filter, len_mad, and len_norm as parameters.
Momentum Normalized:
The Momentum Normalized is the normalized value of the momentum, which measures the rate of change of a security's price. It helps traders identify trends and potential trend reversals in the market. In the code, the Momentum Normalized is calculated using the momentum_normalized() function, which takes length, close, filter, and len_norm as parameters.
Slope Normalized:
The Slope Normalized is the normalized value of the slope, which measures the rate of change of a security's price over a specified period. It helps traders identify trends and potential trend reversals in the market. In the code, the Slope Normalized is calculated using the slope_normalized() function, which takes length, close, filter, and len_norm as parameters.
Trend Intensity:
Trend Intensity is a measure of the strength of a security's price trend. It is based on the difference between the average of price increases and the average of price decreases over a given period. The trend_intensity() function in the code calculates the Trend Intensity by taking length, close, filter, and len_norm as parameters.
Volatility Ratio:
The Volatility Ratio is a measure of the volatility of a security's price, calculated as the ratio of the True Range (TR) to the Exponential Moving Average (EMA) of the TR. The volatility_ratio() function in the code calculates the Volatility Ratio by taking length, high, low, close, and filter as parameters.
Commodity Channel Index (CCI):
The Commodity Channel Index (CCI) is a momentum-based oscillator used to help determine when an investment vehicle is reaching a condition of being overbought or oversold. The CCI is calculated as the difference between the mean price of a security and its moving average, divided by the mean absolute deviation (MAD) of the mean price. In the code, the CCI is calculated using the cci() function, which takes length, high, low, close, and filter as parameters.
These indicators are combined in the code to create a comprehensive trading strategy that considers multiple factors such as trend strength, momentum, volatility, and overbought/oversold conditions. The combined analysis provided by these indicators can help traders make informed decisions and improve their chances of success in the market.
The Radar Rider indicator is a powerful tool that combines multiple technical indicators into a single, easy-to-read visualization. By understanding the inner workings of each built-in indicator and their arrangement within the spider plot, traders can better interpret market conditions and make informed trading decisions.
Volume Divergence IndicatorThe Volume Divergence Indicator is a powerful tool that can help traders identify potential price reversals in the market by analyzing volume data. The indicator has several features, including divergences signals, volume spikes, volume contractions, and volume trend signals.
Unlike most divergence indicators, this one is focused on providing non-repainting alerts. That is why I chose not to use pivot points.
The Volume Divergence Indicator can be used as an overlay or a non-overlay. The overlay mode displays the indicator on top of the price chart, while the non-overlay mode displays the indicator below the price chart.
The indicator has five alerts that can be used to generate alerts:
Bullish Divergence : This alert is generated when prices are making lower lows, but volume is making higher lows. This suggests that the selling pressure is weakening, and a bullish reversal may be imminent.
Bearish Divergence : This alert is generated when prices are making higher highs, but volume is making lower highs. This suggests that the buying pressure is weakening, and a bearish reversal may be imminent.
Volume Spike : This alert is generated when volume spikes above a certain threshold, such as two standard deviations above the moving average. This suggests that there is unusual buying or selling activity in the market, and traders may want to pay attention to the price movements that follow.
Volume Contraction : This alert is generated when volume contracts to a certain level, such as two standard deviations below the moving average. This suggests that there is little buying or selling activity in the market, and traders may want to be cautious until volume picks up again.
Volume Trend : This alert is generated when volume trends above or below the moving average for a certain number of periods, such as five or ten. This suggests that there is a sustained increase or decrease in buying or selling pressure, and traders may want to adjust their trading strategy accordingly.
To customize the indicator settings, users can adjust the following inputs:
Choose overlay mode: select either Overlay or Non-Overlay
Price and volume lookback: set the number of bars to look back for price and volume data
Bull and bear sensitivity: adjust the sensitivity of the bullish and bearish divergences
Volume MA length: set the length of the moving average used to calculate volume spikes and contractions
Sensitivity of spikes: adjust the sensitivity of the volume spikes
Sensitivity of contractions: adjust the sensitivity of the volume contractions
Trend sensitivity: set the number of periods to identify the volume trend
The Volume Divergence Indicator can be a valuable addition to any trader's toolkit. It can help traders identify potential price reversals in the market, as well as unusual buying or selling activity.
I am open to suggestions for further updates or additions.
USDT Inflow TrackerUSDT INFLOW TRACKER
What does this script do? It looks for important inflow from USDT and write it below or above your chart.
Does it matter? Yes because Tether with planned USDT inflow highly manipulate the crypto market.
With this simple script you can study what and when something strange is going to happen on your favourite token.
HOW IT WORKS?
Pretty simple. It just continuosly check USDT (and USDC) Market Cap and verify if the last candle is way higher than last one. If it was way higher than expected it plot a green square and write a note with the total Inflow of USDT in the crypto market (not specifcially for your token)
Now you can see when an important inflow is done and start to plan your entry and exit strategy in the crypto market.
AUTOSET
With Autoset you can rely on standard values
5min TF : Inflow greater than of 15 mln (in 1 candle)
30min TF : Inflow greater than of 150 mln (in 1 candle)
60min TF : Inflow greater than of 300 mln (in 1 candle)
1Day TF : Inflow greater than of 900 mln (in 1 candle)
So you can check your favourite coin in no time looking for a good trading position
MANUAL SETTINGS
Otherwise you can set directly your Inflow to track based on your needs.
In the example below I've set to check everytime an Inflow of 25mln USDT or greater was done.
As you can see it highly influence the relative token.
Gamma Bands v. 7.0Gamma Bands are based on previous day data of base intrument, Volatility , Options flow (imported from external source Quandl via TradingView API as TV is not supporting Options as instruments) and few other additional factors to calculate intraday levels. Those levels in correlation with even pure Price Action works like a charm what is confirmed by big orders often placed exactly on those levels on Futures Contracts. We have levels +/- 0.25, 0.5 and 1.0 that are calculated from Pivot Point and are working like Support and Resistance. Higher the number of Gamma, stronger the level. Passing Gamma +1/-1 would be good entry point for trades as almost everytime it is equal to Trend Day. Levels are calculated by Machine Learning algorithm written in Python which downloads data from Options and Darkpool markets, process and calculate levels, export to Quandl and then in PineScript I import the data to indicator. Levels are refreshed each day and are valid for particular trading day.
There's possibility also to enable display of Initial Balance range (High and Low range of bars/candles from 1st hour of regular cash session). Breaking one of extremes of Initial Balance is very often driving sentiment for rest of the session.
Volatility Reversal Levels
They're calculated taking into account Options flow imported to TV (Strikes, Call/Put types & Expiration dates) in combination with Volatility, Volume flow. Based on that we calculate on daily basis Significant Close level and "Stop and Reversal level".
Very often reaching area close to those levels either trigger immediate reversal of previous trend or at least push price into consolidation range.
Investor Satisfaction & Price Divergence by 0x_kali Investor Satisfaction & Price Divergence by 0x_kali is an adaptation of the Mason's Line Indicator with the inclusion of a normalized price divergence system. For more information on the Mason's Line Indicator, refer to the link provided:
In this script, average investor satisfaction is normalized between 0 and 1. This normalization is achieved by subtracting the minimum satisfaction and dividing by the difference between the maximum and minimum satisfaction over the chosen period. Consequently, the normalized average satisfaction can never be less than 0.
The blue divergence line illustrates the difference between normalized satisfaction and the normalized asset price. When normalized average satisfaction rests on the divergence line, it signifies that the difference between normalized satisfaction and the normalized asset price is zero or near-zero.
This phenomenon often triggers a strong price rebound for various reasons:
Market Sentiment: If investor satisfaction is equal or very close to the asset price, it could indicate positive sentiment or a general consensus on the asset's value. Such positive sentiment can increase demand, leading to a rebound in prices.
Alignment of Interests: When investor satisfaction aligns with the asset price, it might suggest that investors view the current price as fair or balanced. In this scenario, investors could be more inclined to buy or hold the asset, potentially driving up prices.
Market Rebalancing: If investor satisfaction reaches the divergence line after a period of substantial divergence, it could signal market rebalancing. Investors may perceive the gap between satisfaction and price as too significant, prompting them to adjust their positions and causing a price rebound.
Additionally, on larger timeframes such as 6H, 12H, and 1D, the price may become trapped between the SMA and the divergence line. Historically, an escape from this zone has signaled the end of a bear market, indicating a potential change in market direction.
Please note that the Investor Satisfaction & Price Divergence is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
