Fair Value Gap & Gap Profile [BigBeluga]This indicator is designed to help traders identify and utilize fair value gaps on price charts and analyze volume at these points. These gaps, formed by significant price movements, can act as key support and resistance levels. The indicator enhances trading strategies by visually representing these gaps, making it easier for traders to spot potential entry and exit points.
⦿ What Is A Fair Value Gap?
Before diving into the practical use of the Fair Value Gap in trading, it's crucial to have a clear understanding of what it is and how to identify it on your charts. The Fair Value Gap, or FVG , is a widely utilized tool among price action traders to detect market inefficiencies or imbalances. Sometimes you will even see them labeled as inefficiencies by other traders. These imbalances arise when buying or selling pressure is significant, resulting in a large upward or downward move, leaving behind an imbalance in the market.
The idea behind FVGs is that the market will eventually come back to these inefficiencies in the market before continuing in the same direction as the initial impulsive move. FVGs are important since traders can achieve an edge in the market. Price action traders can also use these imbalances as entry or exit points in the market.
By visually representing gaps and their profile, the Fair Value Gap (FVG) & Gap Profile indicator provides a historical overview of gaps within a specified lookback period, showing the distribution and density of gaps across different price levels. This insight helps traders identify zones where the price tends to move more fluidly, often encountering less resistance. High points on the Gap Profile indicate areas where gaps have occurred frequently in the past, which could serve as potential breakout or breakdown zones.
⦿ Key Features:
● Gap Detection and Visualization:
- Identifies Bullish and Bearish Gaps: Highlights gaps where the price moved significantly up or down along with a volume. Intensivity of color show strength of FVG by volume
- Filter for Significant Gaps: Allows users to filter out insignificant gaps, ensuring only relevant gaps are displayed.
● Customizable Display Options:
- Shows Filled Gaps: Option to display gaps that have been filled, aiding in the analysis of historical price movements.
- Displays Filled Gap Levels: Highlights the levels of filled gaps.
● Gap Profile:
Gap Profile Insight: The Gap Profile feature shows the distribution of gaps over a specified lookback period. High points on the FVG Profile indicate areas with a significant number of gaps in the past. These high points are signs of low resistance for price movement. Consequently, at these points, the price tends to move more easily without encountering strong resistance. Traders can use this information to identify potential breakout or breakdown zones where price action is likely to be more fluid.
● Grab Liquidity Detection:
- Collect liquidity Signals: Plots markers on the chart where price interacts with gap levels, providing potential trade signals based on liquidity.
⦿ How Traders Can Use This Indicator:
- Plan Trades: Use gaps as potential entry and exit points, based on whether the price is approaching, filling, or moving away from a gap.
- Analyze Market Trends: Understand historical price movements by analyzing filled gaps and their impact on current price action.
- Analyze Gap Profile: Identify zones where the price tends to move more fluidly, often encountering less resistance. High points on the Gap Profile indicate areas where gaps have occurred frequently in the past, which could serve as potential breakout or breakdown zones.
- Price imbalance: market will eventually come back to these inefficiencies and fill them. inefficiencies or imbalances in the market usually act as a magnet for price.
By incorporating the Fair Value Gap & Gap Profile indicator into their trading strategy, traders can gain a clearer understanding of market dynamics and make more informed trading decisions.
Cerca negli script per "liquidity"
Money Flow DivergenceThe Money Flow Divergence indicator is designed to help traders identify periods when there is a significant divergence between the growth of the U.S. M2 money supply and the S&P 500 index (SPX).
This divergence can provide insights into potential market turning points, making it a valuable tool for long-term investors and traders looking to capitalize on macroeconomic trends.
How It Works:
Data Sources:
S&P 500 Index (SPX) and U.S. M2 Money Supply.
Calculating Growth Rates:
SPX Growth: The script calculates the percentage growth of the S&P 500 index by comparing the current closing price with the previous period's closing price.
M2 Growth: Similarly, it calculates the percentage growth of the U.S. M2 money supply by comparing the current value with the previous period's value.
Growth Gap/Delta:
Growth Gap: The core of the indicator is the "growth gap" or "delta," which is the difference between the M2 money supply growth and the SPX growth. This gap indicates whether liquidity in the economy (represented by M2) is outpacing or lagging behind the performance of the stock market.
Interpretation:
Positive Gap (Green Bars): When the M2 growth outpaces SPX growth, the gap is positive, indicating that there is more liquidity in the system than what is being reflected in the stock market. This scenario often signals potential upward momentum in the market, making it a good time to consider buying.
Negative Gap (Red Bars): When the SPX growth outpaces M2 growth, the gap is negative, suggesting that the market may be overextended relative to the available liquidity. This can be a warning sign of potential market corrections or downturns.
Visualization:
The indicator plots the growth gap as a histogram with bars colored based on the gap value:
Green Bars: Indicate a positive gap where M2 growth is higher than SPX growth.
Red Bars: Indicate a negative gap where SPX growth is higher than M2 growth.
The bars are thickened for better visibility, and a horizontal line at zero is plotted to help users easily distinguish between positive and negative gaps.
How To Use It:
Time Frame Selection: Users can select the desired time frame (e.g., monthly, weekly) for the data. This flexibility allows traders to analyze the indicator over different periods, depending on their investment horizon.
Monthly time frames seem to work best.
Interpreting the Indicator:
Bullish Signals: Look for sustained periods of positive growth gaps (green bars), which may indicate a favorable environment for buying or holding long positions.
Bearish Signals: Be cautious during periods of negative growth gaps (red bars), which could signal overvaluation in the market or potential pullbacks.
Enjoy and let me know if you have any questions.
itradesize /\ IPDA Look Back - for any timeframeThe script automatically calculates the 20-40-60 look-back periods and their premium and discount ranges.
The base concept is from ICT’s IPDA which should be applied to the daily timeframe but now you can use that same concept on the lower timeframes .
The higher the timeframes you use the more reliable it will be ( when we are talking about lower timeframes than Daily ).
- With the use of the indicator you can apply it on any timeframe with ease.
- You can customize the coloring of premium & discount, frame lines, and even the look of it.
- Hide or show the EQ levels
Below the IPDA texts the indicator shows the actual percentage of the selected range based on the current price fluctuations.
The script handles the 20-40-60 days look-back as fractals so it can be applied on lower timeframes.
The basics:
- The Interbank Price Delivery Algorithm (IPDA): The algorithm creates a shift on the daily chart every 20, 40, and 60 trading days.
- These are the IPDA look-back periods. Every 20 trading days or so there is a new liquidity pool forming on both sides of the market based on ICT concepts.
- Determine the IPDA Data Range of the land 20 trading days.
- Note the highest high & lowest low in the past 20 trading days. Identify the institutional order flow and mark the relevant PD arrays in the selected IPDA look-back period we deemed useful for our trading style.
- This is your current dealing range.
- If the price consolidates for 20 days, consider switching to a 40-day look back.
Inside this dealing range, we look for the next draw on liquidity. Is it reaching for a liquidity pool or is it looking to rebalance at a particular PD Array. This is going to the Bias.
Which IPDA data range should you use?
IPDA20 can be our Short Term range - fit for intraday traders at most
IPDA40 can be our Swing Trade range - have a clear indication of the market profile
IPDA60 can be our range for position trading - have a clear indication of the market profile
NITS - NIFTY INTRADAY TRADING SYSTEMNSE:NIFTY
Hello Traders..!
This is another indicator / system to make use for NIFTY & BANK NIFTY Intra day trading.
This is my Gift to the traders for this New Year 2024. Use this to your Edge and make some profits. All explained below.
NIFTY INTRA-DAY TRADING SYSTEM
Explanation of Arrays:
-------------------------------
## FIRST 15 MIN SESSION BOX ##
From 09:15 to 09:30 where the initial orders will get collected and Auction takes place.
DO NOT engage into any trade in this session. Let the Box develop.
## INITIAL HIGH / LOW FORMATION SESSION ##
This session is from 09:15 to 10:30.
We can observe the Initial High or Low being formed for the day, that is VALID TILL 11:30.
## NO-TRADE ZONE / ACC. AREA / DAY’S H OR L CONFIRMATION SESSION ##
From 11:30 to 12:30
90% of time this is the session where the whole Day’s High or Low will get confirmed. Sometimes the market may violate this Session!
DO NOT engage into any fresh trade in this area.
Once the box is developed, you can see the Mid price line will be formed which is valid for the afternoon Trading session till 15:30.
## SIGNAL LINE, MIDDLE PRICE LINE, SESSION HIGH LOW LINES ##
Middle Price Line – the dotted line (Red colour) is Mid Price Line for the Initial session box. This acts as an important price level for the whole day.
Signal Line – the Solid line that will form after 10:30. Consider this price line as very important price line to which the price reacts with a good momentum, either break through or rejection and valid for the whole trading day.
Session High Low price line – high and low prices of the Initial session box which acts as a good Support / Resistance / Target / Stop loss. Even previous session’s price lines can also be used for the current day too.
## TREND BOX ##
Multi-Time frame trend box will show the real-time trend on different time frames. This box will be very helpful in trade decision. Please note that at least THREE HIGHER TIME FRAME TRENDS must be in the same direction to support your trade criteria for the better confirmation.
## VOLUME IMBALANCE ##
These orange coloured boxes are very tiny imbalances between prices that were formed during price movements. Algorithm will try to fill these imbalances on its way of filling orders. These price imbalances can be used for our edge while taking trades.
SOME TIPS:
---------------------------
1) Avoid Break out trades
2) Always trade the pull backs
3) Keep your Stops above / below the KEY LEVELS
4) Always follow the Higher Time frame trend while taking a trade.
If you trade in 1m TF consider 5m trend
If you trade in 5m TF consider 1H or 15m trend
5) Consider the higher TF closure of prices only, to validate the break out.
6) Trade what you see, market can do anything it wants.
7) Do not worry about losses. It happens and that is the business.
8) End your trading week in green no matter how big or small the profit is. Consistency is the key this business.
9) Keep in mind that the Market does two things only, either it will FILL THE GAP or GRAB THE LIQUIDITY. Just plan your trades accordingly. Liquidity levels like Previous Session / Day / Week / highs and lows.
10) The Market is a continuous business. It does not end for the specific day. It will not end its Buy or Sell model unless it completes its cycle, hence TRADE WHAT YOU SEE and not WHAT YOU THINK!
11) Unless the key swing high / low is broken and closed, DO NOT consider that move as a reversal. Consider that as a Liquidity grab. And it will continue in its previous trend.
HOW TO TAKE TRADE USING NITS: (one of the Techniques)
--------------------------------------------------------------------------------
As explained above, Do not engage in trade for the first 15 minutes.
Once the 15m box forms then look for divergence between NIFTY and BANK NIFTY.
Both Indices are supposed to trade in the same direction but at key levels and times, these instruments will make DIVERGENCE with its Highs and Lows.
Ex: one Index will make LOW AND LOWER LOW and at the same time other will make LOW AND HIGHER LOW. This deflection can be used for taking Buy Trades.
Ex:
If the Divergence forms at the Bottom then the market will move upwards.
If the Divergence forms at the Top then the market makes down move.
To confirm this divergence, the price will move away from that deflected Lows or Highs.
-----------------------------------
POINTS TO OBSERVE
------------------------------------
Mostly the first 15 min range that forms will either be very large candles or normal candles with rejection wicks or Shaved bar (open and H/L same)
Whenever you observe a very large wide range bars within the 15min range, consider the Day’s high and Low is already formed. And the market will be hovering inside that range only. Very useful for taking 50 points scalping here and there by using the signal line and middle line or Acc box mid line. In this scenario you have three important info of the day, OPEN HIGH & LOW established already, The market will only look for its close.
Ex:
If the market trades with normal candles, then consider your trades in two parts.
From 09:30 to 11:30 and from 12:30 to 15:30 as 11:30 to 12:30 will confirm the current day’s High / Low hence do not take a fresh position within that time.
1) Initial session trade – If the price does not break and close the 15 min range high/low, consider it is going to reverse and continue its trend till 10:30
Ex:
2) Mid session Trade – mostly the market accumulates positions and collects orders between 11:30 to 12:30 for the afternoon session. Once the session box is developed, the middle price line will form. Wait for the market breakout and close off this session’s high or low in Higher TF. The market will continue in the direction of breakout from this session and continue till 15:30. Hence wait for pull back till its mid price / high or low price lines of this Acc box and take trade in the initial breakout direction keeping stop above or below the session’s high or low.
Ex:
## Fixed Range Volume Profile as a Tool ##
-----------------
Note:
-----------------
Kindly do not ask for any codes or script details. The one technique what I explained (Divergence method) is more than enough for making a consistent earnings. Please study and back test / forward test for yourself for atleast 2 weeks time. Every traders aspect and mindset is different in seeing the market movements. Please design your own methodology and CONSIDER this as a BUSINESS..!
JUST.....
Believe the System
Be patient
Be Disciplined &
Be a Successful Earner..!!
LET YOUR ENDS MEET
(Hope I explained well)
True SMCThe True SMC Indicator is specifically designed for structure mapping and the identification of high-probability Order Blocks. Excelling in distinctly recognising four types of Order Blocks, it provides traders with a direct and efficient method to dissect market movements and identify strategic entry points with precision
🔶 Understanding Structure Mapping
This indicator introduces a unique approach to analysing market structure, focusing on liquidity, which is termed 'Inducement'. Inducement is crucial for identifying key structural markers in the market, such as Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH).
Inducement acts like a trap set near a supply or demand zone. It entices impatient buyers or sellers into the market before the actual zone is reached, thereby creating liquidity. For an inducement to be considered valid, it must represent a valid pullback.
A valid scenario occurs when the price sweeps or closes beyond the high or low of the previous candle; in this case, the candle's color, whether bullish or bearish, is not relevant, and both scenarios are considered valid. Inside bars are ignored as they do not meet this criterion. The indicator assists in this process by automatically highlighting valid pullbacks with a distinctive gray round label.
This feature is not just a visual aid but also a crucial tool in effortlessly understanding market movements, providing a clear visual representation of ongoing market trends.
🔶 Understanding How Order Block is working
Our indicator incorporates four distinct types of Order Blocks, each designed for specific roles in market analysis. Among these, the **OB-IDM** and **OB-EXT** are regarded as high-probability Order Blocks, and our primary focus is on these two for market entry.
IDM Order Block (OB-IDM): IDM Order block (OB-IDM) is basically the first Order Block that shows up after the IDM level is passed. Think of it as the closest OB you find below the current IDM.
Extreme Order Block (OB-EXT): OB-EXT is the first and lowest Order Block that you'll find between a Major Low and a Major High.
Single Candle Order Block (SCOB): Single candle mitigation is very Powerful way to add multiple entries in you're winning trades.
Smart Money Trap (SMT): The SMT consists of all the Order Blocks that lie between the Extreme and OB-IDM. It acts as a cautionary signal, indicating potential traps for Smart Money Concept traders. It is essential to recognize that the SMT does not provide additional confirmation for trading. Instead, it highlights areas where traders should exercise extra caution. Trading decisions should be based on clear confirmations, such as inducements or liquidity sweeps, rather than solely on the SMT.
🔶 How to Use the True SMC Indicator:
The True SMC Indicator is designed to enhance your trading strategy by identifying key order blocks and market signals. Below is a guide on how to utilize the various elements of the True SMC Indicator:
OB IDM (Order Block Inducement):
Usage : This is a decisional order block crucial for identifying trade entries. It is particularly effective for pinpointing potential reversal zones.
Alerts: Setting up alerts on OB IDM is recommended to be notified when the price reaches this critical area, thus facilitating prompt and informed trading decisions.
OB-EXT (Extreme Order Block):
Usage : OB-EXT serves as an extreme and high-probability order block for trade entries, ideal for identifying strategic entry points at potential reversal points.
Alerts: Activating alerts on OB-EXT will keep you informed about price approaches, aiding in the preparation of your trade setups.
SCOB (Single Candle Order Block):
Usage : SCOB is ideal for scaling into a position. It should be employed for adding to positions when the market reacts to OB IDM or OB-EXT, indicating a potential reversal.
SMT (Smart Money Trap):
Usage Caution: The SMT should be approached with caution as it represents a potential trap. It is advised to avoid trading directly at SMT zones. Instead, use these zones to gauge market sentiment and make informed decisions.
This structured approach to using the True SMC Indicator will help you in making more precise and strategic trading decisions, enhancing your overall market analysis.
🔶 Example of usage:
Market Structure Diagram
This diagram illustrates the key structural markers in the market such as Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH). It provides a visual guide to understanding the underlying market structure.
Example from a Real Chart: This chart is a prime example of how our indicator is used to dissect and highlight market structure in a live trading environment. It vividly demonstrates the 'Inducement' concept in action, pinpointing key structural points like HH, HL, LL, and LH in real-time market trends.
Valid Pullback
Illustration of a Valid Pullback: This image showcases a typical scenario where the price sweeps beyond the previous candle's high or low, marking a valid pullback. Notice the distinctive gray round label indicating the point of inducement.
IDM Order Block (OB-IDM)
This diagram illustrates the IDM Order Block (OB-IDM), highlighting its position as the first OB following the IDM level. It represents the nearest OB below the current IDM level.
IDM Order Block in Action This real chart example showcases the OB-IDM in a live market scenario, demonstrating how it appears and functions in practical trading.
Extreme Order Block (OB-EXT)
The diagram depicts the OB-EXT, which is identified as the first and lowest Order Block between a Major Low and a Major High.
OB-EXT in Real Market: This chart example highlights the OB-EXT, showing its position and significance in market analysis between major market points.
Single Candle Order Block (SCOB)
The accompanying chart demonstrates the SCOB in a live trading environment, illustrating its effectiveness in trade optimization.
Smart Money Trap (SMT)
This real chart provides insight into how the SMT is used in actual trading, marking areas for increased caution and illustrating its role in a comprehensive trading strategy.
🔶 Additional Features
Easy-to-Follow Trend Display : The script employs a Color Coded candle system, simplifying trend recognition.
Any Alert function call = It can be configured for a range of trading events, allowing you to stay informed about key market movements. In the settings, you can choose to enable or disable alerts for events such as BOS Sweep, CHock, CHock Sweep, IDM, IDM Sweep, OB IDM, OB EXT, and PDH/PDL.
Automatic resolving of ChoCh-IDM and IDM-BoS conflicts = The indicator is equipped to automatically resolve conflicts that arise between ChoCh-IDM and IDM-BoS. It intelligently identifies situations where there might be an IDM instead of a ChoCh, or a BoS instead of an IDM, ensuring accurate readings and analysis.
Anywhere Structure Mapping : The tool simplifies market analysis by enabling you to draw structures from any chosen moment. Simply adjust the slider to your desired point and instantly trade based on the internal structure revealed. This feature offers an intuitive and efficient way to understand and navigate market dynamics.
🔶 Conclusion
The True SMC Indicator distinguishes itself from other market analysis tools through its specialised focus on structure mapping and high-probability Order Blocks. Unlike generic indicators, it expertly identifies and categorizes four distinct types of Order Blocks, including IDM and Extreme Order Blocks, which are crucial for high-accuracy trade entries. Its unique approach in analysing market structure centers on 'Inducement,' a key concept for pinpointing vital market structural markers. This feature, combined with its ability to alert traders to both promising entry points and potential Smart Money Traps, equips users with a comprehensive tool for a nuanced understanding of market dynamics and strategic trade execution. Such targeted capabilities make the True SMC Indicator an invaluable asset for traders seeking precision and efficiency in their market analysis.
itradesize /\ Overnight Session & Silver BulletOvernight Session & Silver Bullet indicator
The indicator can be divided into two separate stuff:
ONS ( Overnight Session ) based on TCM’s ( TheCurrencyMerchant ) theory and Silver Bullet based on what ICT ( InnerCircleTrader ) is teaching to us.
Overnight Session
• ONS will be always based on Chicago 4am to 8am time according to TCM’s CME teaching.
The indicator has the option to show TSO ( Today’s session only ) which is good to have the chart not messed up by it. At this time when it comes to backtesting just turn this off to have the past ONS and SB ranges showed up on your chart.
• Mid line at the ONS range is useful to have as you are able to decide wether price is in a premium or a discount under the ONS.
If Im a buyer target is above the range, if Im a seller target is below the range.
• You are also able to have SD ( Standard Deviation ) lines for price projections. In the variety of TCM’s videos you are able to have a deeper knowledge.
• You can also extend Today’s ONS lines to the very end of the chart which could make an easier looking on the levels you eyeing with.
Silver Bullet
It’s based on New York time as ICT ( Inner Circle Trader ) is always teaching to us that we should use New York time, every time when it comes to his concepts.
Silver Bullets are always be there aiming of an opposing liquidity pool. They are working even on choppy days.
Silver Bullet hours:
• 03:00 - 04:00am NY Time
• 10:00 - 11:00am NY Time
• 02:00 - 03:00pm NY Time
SB highlighted areas could be shown as a box or a range according to your taste, with or without Start/End lines.
Both of them ca be used to form trades.
You should dig yourself into Silver Bullet ( InnerCircleTrader ) and Overnight Session ( TheCurrencyMerchant ) teachings before the use of the indicator.
Simple setups
• Silver Bullet
Look 20-30 minutes before any SB where the Buy or Sell program has started.
Where the first 1m FVG ( Fair Value Gap ) appears under the range, enter the trade.
Expect only a 5 handle move as a beginner.
1m chart is a must for these kind of FVG entries. ( 30s , 15s can also be used )
• ONS
Price is trading aggressively out of the range to take liquidity.
Once price grabbed liquidity that candle on the 3-5m could considered as on order block for the further movement.
If you are trading in the range, then the opposite side can be the target, if its out of the range and trading one sided, then use standard deviations as 0.5 is a minimum target.
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
Automatic Closest FVG with BPRFair Value Gaps are a hugely popular concept and because of that there are numerous indicators available. This one however, was designed to automate the process of actually using them in trading.
Designed with lower time frame entries in mind (though will work on HTF just as well), this indicator automatically draws the closest, non-mitigated FVG, to the current price, cutting out the work of looking for what FVG is relevant.
The indicator also has an option to show when the current nearest pair of FVGs form a BPR or 'balanced price range'.
There are various option for what counts as mitigation, including no mitigation at all, and when mitigated an FVG is no longer considered for proximity searching.
Mark LevelsMark Levels is marking liquidity pools by drawing lines on their pivots and labelling them so that you can instantly detect them on your realtime chart
It supports:
- marking previous and current day lows and highs
- marking previous and current week lows and highs
- marking previous and current month lows and highs
- marking equal lows and highs
technically it re-builds them on the last bar or as soon as new realtime bar is updated. it looks with 1k bars back to find higher timeframe ranges and find lows and highs there
Adjustments:
- changing the line style of the group
- changing the lines color and the labels on the groups
- currently pools are split on 2 groups Period Liquidity and Equal Pivots Liquidity.
Key Indicators Dashboard (KID)Key Indicators Dashboard (KID) — Comprehensive Market & Trend Metrics
📌 Overview
The Key Indicators Dashboard (KID) is an advanced multi-metric market analysis tool designed to consolidate essential technical, volatility, and relative performance data into a single on-chart table. Instead of switching between multiple indicators, KID centralizes these key measures, making it easier to assess a stock’s technical health, volatility state, trend status, and relative strength at a glance.
🛠 Key Features
⦿ Average Daily Range (ADR %): Measures average daily price movement over a specified period. It is calculated by averaging the daily price range (high - low) over a set number of days (default 20 days).
⦿ Average True Range (ATR): Measures volatility by calculating the average of a true range over a specific period (default 14). It helps traders gauge the typical extent of price movement, regardless of the direction.
⦿ ATR%: Expresses the Average True Range as a percentage of the price, which allows traders to compare the volatility of stocks with different prices.
⦿ Relative Strength (RS): Compares a stock’s performance to a chosen benchmark index (default NIFTYMIDSML400) over a specific period (default 50 days).
⦿ RS Score (IBD-style): A normalized 1–100 rating inspired by Investor’s Business Daily methodology.
How it works: The RS Score is based on a weighted average of price changes over 3 months (40%), 6 months (20%), 9 months (20%), and 12 months (20%).
The raw value is converted into a percentage return, then normalized over the past 252 trading days so the lowest value maps to 1 and the highest to 100.
This produces a percentile-style score that highlights the strongest stocks in relative terms.
⦿ Relative Volume (RVol): Compares a stock's current volume to its average volume over a specific period (default 50). It is calculated by dividing the current volume by the average historical volume.
⦿ Average ₹ Volume (Turnover): Represents the total monetary value of shares traded for a stock. It's calculated by multiplying a day's closing price by its volume, with the final value converted to crores for clarity. This metric is a key indicator of a stock's liquidity and overall market interest.
⦿ Moving Average Extension: Measures how far a stock's current price has moved from from a selected moving average (EMA or SMA). This deviation is normalized by the stock's volatility (ATR%), with a default threshold of 6 ATR used to indicate that the stock is significantly extended and is marked with a selected shape (default Red Flag).
⦿ 52-Weeks High & Low: Measures a stock's current price in relation to its highest and lowest prices over the past year. It calculates the percentage a stock is below its 52-week high and above its 52-week low.
⦿ Market Capitalization: Market Cap represents the total value of all outstanding.
⦿ Free Float: It is the value of shares readily available for public trading, with the Free Float Percentage showing the proportion of shares available to the public.
⦿ Trend: Uses Supertrend indicator to identify the current trend of a stock's price. A factor (default 3) and an ATR period (default 10) is used to signal whether the trend is up or down.
⦿ Minervini Trend Template (MTT): It is a set of technical criteria designed to identify stocks in strong uptrends.
Price > 50-DMA > 150-DMA > 200-DMA
200-DMA is trending up for at least 1 month
Price is at least 30% above its 52-week low.
Price is within at least 25 percent of its 52-week high
Table highlights when a stock meets all above criteria.
⦿ Sector & Industry: Display stock's sector and industry, provides categorical classification to assist sector-based analysis. The sector is a broad economic classification, while the industry is a more specific group within that sector.
⦿ Moving Averages (MAs): Plot up to four customizable Moving Averages on a chart. You can independently set the type (Simple or Exponential), the source price, and the length for each MA to help visualize a stock's underlying trend.
MA1: Default 10-EMA
MA2: Default 20-EMA
MA3: Default 50-EMA
MA4: Default 200-EMA
⦿ Moving Average (MA) Crossover: It is a trend signal that occurs when a shorter-term moving average crosses a longer-term one. This script identifies these crossover events and plots a marker on the chart to visually signal a potential change in trend direction.
User-configurable MAs (short and long).
A bullish crossover occurs when the short MA crosses above the long MA.
A bearish crossover occurs when the short MA crosses below the long MA.
⦿ Inside Bar (IB): An Inside Bar is a candlestick whose entire price range is contained within the range of the previous bar. This script identifies this pattern, which often signals consolidation, and visually marks bullish and bearish inside bars on the chart with distinct colors and labels.
⦿ Tightness: Identifies periods of low volatility and price consolidation. It compares the price range over a short lookback period (default 3) to the average daily range (ADR). When the lookback range is smaller than the ADR, the indicator plots a marker on the chart to signal consolidation.
⦿ PowerBar (Purple Dot): Identifies candles with a strong price move on high volume. By default, it plots a purple dot when a stock moves up or down by at least 5% and has a minimum volume of 500,000. More dots indicate higher volatility and liquidity.
⦿ Squeezing Range (SQ): Identifies periods of low volatility, which can often precede a significant price move. It checks if the Bollinger Bands have narrowed to a range that is smaller than the Average True Range (ATR) for a set number of consecutive bars (default 3).
(UpperBB - LowerBB) < (ATR × 2)
⦿ Mark 52-Weeks High and Low: Marks and labels a stock's 52-Week High and Low prices directly on the chart. It draws two horizontal lines extending from the candles where the highest and lowest prices occurred over the past year, providing a clear visual reference for long-term price extremes.
⏳PineScreener Filters
The indicator’s alert conditions act as filters for PineScreener.
Price Filter: Minimum and maximum price cutoffs (default ₹25 - ₹10000).
Daily Price Change Filter: Minimum and maximum daily percent change (default -5% and 5%).
🔔 Built-in Alerts
Supports alert creation for:
ADR%, ATR/ATR %, RS, RS Rating, Turnover
Moving Average Crossover (Bullish/Bearish)
Minervini Trend Template
52-Week High/Low
Inside Bars (Bullish/Bearish)
Tightness
Squeezing Range (SQ)
⚙️ Customizable Visualization
Switchable between vertical or horizontal layout.
Works in dark/light mode
User-configurable to toggle any indicator ON or OFF.
User-configurable Moving (EMA/SMA), Period/Lengths and thresholds.
⦿ (Optional) : For horizontal table orientation increase Top Margin to 16% in Chart (Canvas) settings to avoid chart overlapping with table.
⚡ Add this script to your chart and start making smarter trade decisions today! 🚀
FA Dashboard: Valuation, Profitability & SolvencyFundamental Analysis Dashboard: A Multi-Dimensional View of Company Quality
This script presents a structured and customizable dashboard for evaluating a company’s fundamentals across three key dimensions: Valuation, Profitability, and Solvency & Liquidity.
Unlike basic fundamental overlays, this dashboard consolidates multiple financial indicators into visual tables that update dynamically and are grouped by category. Each ratio is compared against configurable thresholds, helping traders quickly assess whether a company meets certain value investing criteria. The tables use color-coded checkmarks and fail marks (✔️ / ❌) to visually signal pass/fail evaluations.
▶️ Key Features
Valuation Ratios:
Earnings Yield: EBIT / EV
EV / EBIT and EV / FCF: Enterprise value metrics for profitability
Price-to-Book, Free Cash Flow Yield, PEG Ratio
Profitability Ratios:
Return on Invested Capital (ROIC), ROE, Operating, Net & Gross Margins, Revenue Growth
Solvency & Liquidity Ratios:
Debt to Equity, Debt to EBITDA, Current Ratio, Quick Ratio, Altman Z-Score
Each of these metrics is calculated using request.financial() and can be viewed using either annual (FY) or quarterly (FQ) data, depending on user preference.
🧠 How to Use
Add the script to any stock chart.
Select your preferred data period (FY or FQ).
Adjust thresholds if desired to match your personal investing strategy.
Review the visual dashboard to see which metrics the company passes or fails.
💡 Why It’s Useful
This tool is ideal for traders or long-term investors looking to filter stocks using fundamental criteria. It draws inspiration from principles used by Benjamin Graham, Warren Buffett, and Joel Greenblatt, offering a fast and informative way to screen quality businesses.
This is not a repackaged built-in or autogenerated script. It’s a custom-built, interactive tool tailored for fundamental analysis using official financial data provided via Pine Script’s request.financial().
[itradesize] ICT Opening range
This indicator automatically annotates the opening ranges of the AM and PM sessions. It should be used on the 1-minute timeframe , although you can check and build a further models when using a 2-3-4 or even 5-minute timeframe. You can customize this under the settings tab.
Additionally, it includes features such as standard deviations and the initial fair value gap presented. Everything is based on what ICT said in his algorithmic timing video.
The algorithm will continue to adjust prices higher or lower until it reaches a predetermined target price. This process will occur within specific time frames: the last 10 minutes before the hour and the first 10 minutes after a new hour begins.
For the AM session opening range, this is from 9:30 to 10:00 , and for the PM session, it's from 13:30 to 14:00 . Defining these ranges allows us to identify the first presented fair value gaps there, as the algorithm is designed to leave these signatures for smart money. This process of time-based delivery precision repeats every day. You can build a whole New York model on this.
It's important to journal and backtest your results results. If the market breaks the opening range on either side and there is evident liquidity, it is highly likely that it will pursue that liquidity.
However, before doing so, the market should retrace back to the first fair value gap if it hasn’t already occurred or back to the 0.75 or 0.5 level of the range at maximum.
When does this happen? Typically, when a macro event occurs— for example, during the lunch macro from 11:30 to 12:00 . In most cases, you can expect a retracement during lunch macro. If the market retraces beyond these levels, there is a higher probability that the expected scenario will not play out.
The algorithm primarily refers to the 30-minute opening range each time. The standard deviation levels can be used to establish algorithmic delivery targets and anticipate another run after the PM session opening range has occurred. The AM session often helps determine the likely direction of movement after the PM session range concludes.
The PM macro runs from 15:15 to 15:45 . At this time, the market will typically operate within the narrative that is currently underway.
RSI + SMA Strategy (Second Touch Confirmation + Volume Filter)RSI + SMA Strategy (Second Touch Confirmation + Volume Filter)
👉 Optimized for the 3-minute timeframe
This indicator combines the power of the RSI (Relative Strength Index) and its SMA (Simple Moving Average) to generate highly reliable BUY and SELL signals. The strategy is designed to confirm signals only on the second consecutive touch of the overbought (70) and oversold (30) thresholds, reducing false signals caused by sudden market movements. Additionally, it includes a dynamic volume filter, ensuring that signals are generated only during periods of high liquidity.
Key Features
Second Touch RSI:
BUY and SELL signals are generated only after the RSI reaches the overbought/oversold threshold for the second consecutive time, improving accuracy.
Volume Filter:
Signals are confirmed only if the current volume exceeds the 20-period moving average multiplied by a configurable value (volume_multiplier), filtering out low-liquidity moments.
Optimized for Short Timeframes:
Perfect for the 3-minute timeframe, ideal for scalping and intraday trading strategies.
Customizable Parameters:
Adjustable settings for RSI, SMA, overbought/oversold thresholds, and volume filter, making it adaptable to various markets and conditions.
How to Use It
BUY Signal: When RSI touches the oversold threshold (30) for the second consecutive time and crosses above its SMA, with volume higher than average.
SELL Signal: When RSI touches the overbought threshold (70) for the second consecutive time and crosses below its SMA, with volume higher than average.
Upcoming Developments
📢 We will soon release our private strategy!
This strategy will be based on advanced logic and optimized to achieve even more consistent results in volatile markets like cryptocurrencies. Stay tuned for more details!
Disclaimer
This indicator is designed to support decision-making in trading. We recommend testing it on a demo account before using it in live trading. Remember that trading involves risks and does not guarantee profits.
RSI Support & Resistance Breakouts with OrderblocksThis tool is an overly simplified method of finding market squeeze and breakout completely based on a dynamic RSI calculation. It is designed to draw out areas of price levels where the market is pushing back against price action leaving behind instances of short term support and resistance levels you otherwise wouldn't see with the common RSI.
It uses the changes in market momentum to determine support and resistance levels in real time while offering price zone where order blocks exist in the short term.
In ranging markets we need to know a couple things.
1. External Zone - It's important to know where the highs and lows were left behind as they hold liquidity. Here you will have later price swings and more false breakouts.
2. Internal Zone - It's important to know where the highest and lowest closing values were so we can see the limitations of that squeeze. Here you will find the stronger cluster of orders often seen as orderblocks.
In this tool I've added a 200 period Smoothed Moving Average as a trend filter which causes the RSI calculation to change dynamically.
Regular Zones - without extending
The Zones draw out automatically but are often too small to work with.
To solve this problem, you can extend the zones into the future up to 40 bars.
This allows for more visibility against future price action.
--------------------------------------------
Two Types of Zones
External Zones - These zones give you positioning of the highest and lowest price traded within the ranging market. This is where liquidity will be swept and often is an ultimate breaking point for new price swings.
How to use them :
External Zones - External zones form at the top of a pullback. After this price should move back into its impulsive wave.
During the next corrective way, if price breaches the top of the previous External Zone, this is a sign of trend weakness. Expect a divergence and trend reversal.
Internal Zones - (OrderBlocks) Current price will move in relation to previous internal zones. The internal zone is where a majority of price action and trading took place. It's a stronger SQUEEZE area. Current price action will often have a hard time closing beyond the previous Internal Zones high or low. You can expect these zones to show you where the market will flip over. In these same internal zones you'll find large rejection candles.
**Important Note** Size Doesn't Matter
The size of the internal zone does not matter. It can be very small and still very powerful.
Once an internal zone has been hit a few times, its often not relevant any longer.
Order Block Zone Examples
In this image you can see the Internal Zone that was untouched had a STRONG price reaction later on.
Internal Zones that were touched multiple times had weak reactions later as price respected them less over time.
Zone Overlay Breakdown
The Zones form and update in real time until momentum has picked up and price begins to trend. However it leaves behind the elements of the inducement area and all the key levels you need to know about for future price action.
Resistance Fakeout : Later on after the zone has formed, price will return to this upper zone of price levels and cause fakeouts. A close above this zone implies the market moves long again.
Midline Equilibrium : This is simply the center of the strongest traded area. We can call this the Point of Control within the orderblock. If price expands through both extremes of this zone multiple times in the future, it eliminates the orderblock.
Support Fakeout : Just like its opposing brother, price will wick through this zone and rip back causing inducement to trap traders. You would need a clear close below this zone to be in a bearish trend.
BARCOLOR or Candle Color: (Optional)
Bars are colored under three conditions
Bullish Color = A confirmed bullish breakout of the range.
Bearish Color = A confirmed bearish breakout of the range.
Squeeze Color = Even if no box is formed a candle or candles can have a squeeze color. This means the ranging market happened within the high and low of that singular candle.
Fair Value Gap Finder [Find Better Trades]Fair Value Gap Finder (FVG) – Spot Institutional Imbalances
📈 Identify Key Market Imbalances
The Fair Value Gap Finder automatically detects price inefficiencies where aggressive buying or selling has created an imbalance in liquidity. These gaps, often left by institutional traders, can serve as key areas for price to revisit before continuing its trend.
🔍 How It Works:
Highlights bullish Fair Value Gaps (FVGs) in green, signaling potential support zones.
Highlights bearish Fair Value Gaps (FVGs) in red, signaling potential resistance zones.
Uses ATR-based filtering to eliminate small, insignificant gaps, focusing only on high-probability setups.
Alerts included! Get notified when a valid Fair Value Gap is detected.
📊 How to Trade Using FVGs:
✅ For Buy Trades: Wait for price to return to a bullish FVG and confirm support before entering long.
✅ For Sell Trades: Wait for price to revisit a bearish FVG and confirm resistance before entering short.
✅ Use with candlestick patterns, trend analysis, or volume for additional confirmation.
⚙️ Customizable Settings:
Adjust the ATR Multiplier to control how large a gap must be before triggering a signal.
Enable alerts to stay informed in real time when new FVGs appear.
💡 Why Use This Indicator?
Fair Value Gaps are widely used by professional traders to spot areas of liquidity, making them valuable for scalping, swing trading, and institutional-style trading.
🚀 Add it to your TradingView chart and start trading with precision!
Quantitative Easing and Tightening PeriodsQuantitative Easing (QE) and Quantitative Tightening (QT) periods based on historical events from the Federal Reserve:
Quantitative Easing (QE) Periods:
QE1:
Start: November 25, 2008
End: March 31, 2010
Description: The Federal Reserve initiated QE1 in response to the financial crisis, purchasing mortgage-backed securities and Treasuries.
QE2:
Start: November 3, 2010
End: June 29, 2011
Description: QE2 involved the purchase of $600 billion in U.S. Treasury bonds to further stimulate the economy.
QE3:
Start: September 13, 2012
End: October 29, 2014
Description: QE3 was an open-ended bond-buying program with monthly purchases of $85 billion in Treasuries and mortgage-backed securities.
QE4 (COVID-19 Pandemic Response):
Start: March 15, 2020
End: March 10, 2022
Description: The Federal Reserve engaged in QE4 in response to the economic impact of the COVID-19 pandemic, purchasing Treasuries and MBS in an effort to provide liquidity.
Quantitative Tightening (QT) Periods:
QT1:
Start: October 1, 2017
End: August 1, 2019
Description: The Federal Reserve began shrinking its balance sheet in 2017, gradually reducing its holdings of U.S. Treasuries and mortgage-backed securities. This period ended in August 2019 when the Fed decided to stop reducing its balance sheet.
QT2:
Start: June 1, 2022
End: Ongoing (as of March 2025)
Description: The Federal Reserve started QT again in June 2022, reducing its holdings of U.S. Treasuries and MBS in response to rising inflation. The Fed has continued this tightening cycle.
These periods are key moments in U.S. monetary policy, where the Fed either injected liquidity into the economy (QE) or reduced its balance sheet by not reinvesting maturing securities (QT). The exact dates and nature of these policies may vary based on interpretation and adjustments to the Fed's actions during those times.
ATR 3x Multiplier StrategyBeta version
Volatility and Candle Spikes in Trading
Volatility
Volatility refers to the degree of variation in the price of a financial asset over time. It measures how much the price fluctuates and is often associated with risk and uncertainty in the market. High volatility means larger price swings, while low volatility indicates more stable price movements.
Key aspects of volatility:
Measured using indicators like Average True Range (ATR), Bollinger Bands, and Implied Volatility (IV).
Influenced by factors such as market news, economic events, and liquidity.
Higher volatility increases both risk and potential profit opportunities.
Candle Spikes
A candle spike (or wick) refers to a sudden price movement that forms a long shadow or wick on a candlestick chart. These spikes can indicate strong buying or selling pressure, liquidity hunts, or stop-loss triggers.
Types of candle spikes:
Bullish Spike (Long Lower Wick): Indicates buyers rejected lower prices, pushing the price higher.
Bearish Spike (Long Upper Wick): Suggests sellers rejected higher prices, pushing the price lower.
Stop-Loss Hunt: Market makers may trigger stop-losses by creating artificial spikes before reversing the price.
News-Induced Spikes: Economic data releases or unexpected events can cause sudden price jumps.
Understanding volatility and candle spikes can help traders manage risk, spot entry/exit points, and avoid false breakouts. 🚀📈
Electronic Trading Hours Session/CandlesThis indicator visually distinguishes the electronic trading session, spanning from the prior day's close (e.g., 5:00 PM EST) through the overnight period until the next day's opening bell (e.g., 9:30 AM EST).
It can be customized to highlight this period with a shaded zone or colored candles depending on the trader’s preference.
The overnight levels that create the opening range gap often act as critical zones of liquidity.
The indicator provides a clear visual cue of potential price magnets that smart money (institutional traders) may target during the opening bell session to trigger liquidity sweeps.
BPR [TakingProphets]The BPR (Balanced Price Range) Indicator by Taking Prophets is built for traders who follow ICT (Inner Circle Trader) concepts and smart money strategies. In ICT methodology, a Balanced Price Range (BPR) occurs when price rapidly moves in one direction, creating an imbalance that often gets revisited before price continues its trend. These areas represent inefficiencies in the market where liquidity was not properly distributed, making them key zones for potential retracements and trade setups.
How the Indicator Works:
🔹 Automatically Detects BPRs – No need to manually mark imbalances; the indicator highlights them for you.
🔹 Helps Identify Smart Money Footprints – Spot areas where price is likely to retrace and rebalance liquidity.
🔹 Customizable Sensitivity – Adjust detection parameters based on your preferred trading style.
🔹 Works Across All Markets – Apply it to Forex, Futures, Crypto, and Stocks on TradingView.
🔹 Clean and Intuitive Interface – Designed to be simple yet powerful for both new and experienced traders.
Financials Score All Description of the "Financials Score All" Script
This Pine Script calculates a financial score for a specific stock, based on various financial metrics. The purpose is to provide a comprehensive numerical score that reflects the financial health of the stock. The score is calculated using multiple financial indicators, including profitability, valuation, debt management, and liquidity. Here’s a breakdown of what each part of the script does:
period = input.string('FQ', 'Period', options= )
FQ refers to Quarterly financial data.
FY refers to Fiscal Year financial data.
Financial Metrics:
The script uses various financial metrics to calculate the score. These are obtained via request.financial, which retrieves financial data for the stock from TradingView's database. Below are the metrics used:
opmar (Operating Margin): Measures the company's profitability as a percentage of revenue.
eps (Earnings Per Share): Represents the portion of a company's profit allocated to each outstanding share.
eps_ttm (Earnings Per Share – Trailing Twelve Months): EPS over the most recent 12 months.
pe_ratio (Price-to-Earnings Ratio): A measure of the price investors are willing to pay for a stock relative to its earnings.
pb_ratio (Price-to-Book Ratio): A valuation ratio comparing a company’s market value to its book value.
de_ratio (Debt-to-Equity Ratio): A measure of the company’s financial leverage, showing how much debt it has compared to shareholders' equity.
roe_pb (Return on Equity Adjusted to Book): Measures the company's profitability relative to its book value.
fcf_per_share (Free Cash Flow per Share): Represents the free cash flow available for dividends, debt reduction, or reinvestment, per share.
pfcf_ratio (Price-to-Free-Cash-Flow Ratio): A measure comparing a company’s market value to its free cash flow.
current_ratio (Current Ratio): A liquidity ratio that measures a company's ability to pay short-term obligations with its current assets.
RSI Calculation:
The script calculates the Relative Strength Index (RSI) for the stock using an 8-period lookback:
rsi = ta.rsi(close, 8)
Score Calculation:
The script calculates a total score by adding points based on the values of the financial metrics. Each metric is checked against a condition, and if the condition is met, the score is incremented:
If the Operating Margin (opmar) is greater than 20, the score is incremented by 20 points.
If Earnings Per Share (EPS) is positive, 10 points are added.
If the P/E ratio is between 0 and 20, 10 points are added.
If the P/B ratio is less than 3, 10 points are added.
If the Debt-to-Equity ratio is less than 0.8, 10 points are added.
If the Return on Equity Adjusted to Book is greater than 10, 10 points are added.
If the P/FCF ratio is between 0 and 15, 10 points are added.
If the Current Ratio is greater than 1.61, 10 points are added.
If the RSI is less than 35, 10 points are added.
The score is accumulated based on these conditions and stored in the total_score variable.
Displaying the Total Score:
Finally, the total score is plotted on the chart:
Summary of How It Works:
This script calculates a financial score for a stock using a variety of financial indicators. Each metric has a threshold, and when the stock meets certain criteria (for example, a good operating margin, a healthy debt-to-equity ratio, or a low P/E ratio), points are added to the overall score. The result is a single numerical value that reflects the financial health of the stock.
This score can help traders or investors identify companies with strong financials, or serve as a comparison tool between different stocks based on their financial health.
Generally >60 is the best stocks for med and long term trades
Mean Price
^^ Plotting switched to Line.
This method of financial time series (aka bars) downsampling is literally, naturally, and thankfully the best you can do in terms of maximizing info gain. You can finally chill and feed it to your studies & eyes, and probably use nothing else anymore.
(HL2 and occ3 also have use cases, but other aggregation methods? Not really, even if they do, the use cases are ‘very’ specific). Tho in order to understand why, you gotta read the following wall, or just believe me telling you, ‘I put it on my momma’.
The true story about trading volumes and why this is all a big misdirection
Actually, you don’t need to be a quant to get there. All you gotta do is stop blindly following other people’s contextual (at best) solutions, eg OC2 aggregation xD, and start using your own brain to figure things out.
Every individual trade (basically an imprint on 1D price space that emerges when market orders hit the order book) has several features like: price, time, volume, AND direction (Up if a market buy order hits the asks, Down if a market sell order hits the bids). Now, the last two features—volume and direction—can be effectively combined into one (by multiplying volume by 1 or -1), and this is probably how every order matching engine should output data. If we’re not considering size/direction, we’re leaving data behind. Moreover, trades aren’t just one-price dots all the time. One trade can consume liquidity on several levels of the order book, so a single trade can be several ticks big on the price axis.
You may think now that there are no zero-volume ticks. Well, yes and no. It depends on how you design an exchange and whether you allow intra-spread trades/mid-spread trades (now try to Google it). Intra-spread trades could happen if implemented when a matching engine receives both buy and sell orders at the same microsecond period. This way, you can match the orders with each other at a better price for both parties without even hitting the book and consuming liquidity. Also, if orders have different sizes, the remaining part of the bigger order can be sent to the order book. Basically, this type of trade can be treated as an OTC trade, having zero volume because we never actually hit the book—there’s no imprint. Another reason why it makes sense is when we think about volume as an impact or imbalance act, and how the medium (order book in our case) responds to it, providing information. OTC and mid-spread trades are not aggressive sells or buys; they’re neutral ticks, so to say. However huge they are, sometimes many blocks on NYSE, they don’t move the price because there’s no impact on the medium (again, which is the order book)—they’re not providing information.
... Now, we need to aggregate these trades into, let’s say, 1-hour bars (remember that a trade can have either positive or negative volume). We either don’t want to do it, or we don’t have this kind of information. What we can do is take already aggregated OHLC bars and extract all the info from them. Given the market is fractal, bars & trades gotta have the same set of features:
- Highest & lowest ticks (high & low) <- by price;
- First & last ticks (open & close) <- by time;
- Biggest and smallest ticks <- by volume.*
*e.g., in the array ,
2323: biggest trade,
-1212: smallest trade.
Now, in our world, somehow nobody started to care about the biggest and smallest trades and their inclusion in OHLC data, while this is actually natural. It’s the same way as it’s done with high & low and open & close: we choose the minimum and maximum value of a given feature/axis within the aggregation period.
So, we don’t have these 2 values: biggest and smallest ticks. The best we can do is infer them, and given the fact the biggest and smallest ticks can be located with the same probability everywhere, all we can do is predict them in the middle of the bar, both in time and price axes. That’s why you can see two HL2’s in each of the 3 formulas in the code.
So, summed up absolute volumes that you see in almost every trading platform are actually just a derivative metric, something that I call Type 2 time series in my own (proprietary ‘for now’) methods. It doesn’t have much to do with market orders hitting the non-uniform medium (aka order book); it’s more like a statistic. Still wanna use VWAP? Ok, but you gotta understand you’re weighting Type 1 (natural) time series by Type 2 (synthetic) ones.
How to combine all the data in the right way (khmm khhm ‘order’)
Now, since we have 6 values for each bar, let’s see what information we have about them, what we don’t have, and what we can do about it:
- Open and close: we got both when and where (time (order) and price);
- High and low: we got where, but we don’t know when;
- Biggest & smallest trades: we know shit, we infer it the way it was described before.'
By using the location of the close & open prices relative to the high & low prices, we can make educated guesses about whether high or low was made first in a given bar. It’s not perfect, but it’s ultimately all we can do—this is the very last bit of info we can extract from the data we have.
There are 2 methods for inferring volume delta (which I call simply volume) that are presented everywhere, even here on TradingView. Funny thing is, this is actually 2 parts of the 1 method. I wonder how many folks see through it xD. The same method can be used for both inferring volume delta AND making educated guesses whether high or low was made first.
Imagine and/or find the cases on your charts to understand faster:
* Close > open means we have an up bar and probably the volume is positive, and probably high was made later than low.
* Close < open means we have a down bar and probably the volume is negative, and probably low was made later than high.
Now that’s the point when you see that these 2 mentioned methods are actually parts of the 1 method:
If close = open, we still have another clue: distance from open/close pair to high (HC), and distance from open/close pair to low (LC):
* HC < LC, probably high was made later.
* HC > LC, probably low was made later.
And only if close = open and HC = LC, only in this case we have no clue whether high or low was made earlier within a bar. We simply don’t have any more information to even guess. This bar is called a neutral bar.
At this point, we have both time (order) and price info for each of our 6 values. Now, we have to solve another weighted average problem, and that’s it. We’ll weight prices according to the order we’ve guessed. In the neutral bar case, open has a weight of 1, close has a weight of 3, and both high and low have weights of 2 since we can’t infer which one was made first. In all cases, biggest and smallest ticks are modeled with HL2 and weighted like they’re located in the middle of the bar in a time sense.
P.S.: I’ve also included a "robust" method where all the bars are treated like neutral ones. I’ve used it before; obviously, it has lesser info gain -> works a bit worse.
Price and OI ChangePrice and OI Change
Description:
The "Price and OI Change" indicator provides insights into market dynamics by analyzing the price and open interest (OI) changes over a 7-day period. This indicator is designed for use with both spot and futures markets, including cryptocurrencies.
Key Features:
Price and OI Change Calculation: Computes the 7-day change in price and open interest to help identify market trends and shifts.
Market Conditions Visualization: Differentiates market conditions by changing the background color based on:
Leverage-Driven Market: Blue background indicates increasing prices and OI, suggesting a bullish trend driven by leverage.
Spot-Driven Market: Green background shows increasing prices but decreasing OI, indicating a bullish trend driven by spot market activity.
Leverage Sell-Off: Orange background reveals decreasing prices with increasing OI, signaling a potential liquidation phase.
Deleveraging Sell-Off: Red background reflects decreasing prices and OI, indicating a bearish market with reduced leverage.
Top 3 BTC Futures Average OI: Displays the average open interest for the top 3 BTC futures contracts from major exchanges (Binance, OKX, Bybit). This helps gauge overall market sentiment and liquidity.
Visualization Tools: Includes optional plotting of open interest data and average OI for better visualization of market conditions.
Usage:
Traders and Analysts: Use the background color changes and average OI to make informed decisions about market entry and exit points.
Futures Traders: Track OI changes in major BTC futures to assess market strength and potential liquidity issues.
