ICT KillZones + Pivot Points [TradingFinder] Support/Resistance 🟣 Introduction
Pivot Points are critical levels on a price chart where trading activity is notably high. These points are derived from the prior day's price data and serve as key reference markers for traders' decision-making processes.
Types of Pivot Points :
Floor
Woodie
Camarilla
Fibonacci
🔵 Floor Pivot Points
Widely utilized in technical analysis, floor pivot points are essential in identifying support and resistance levels. The central pivot point (PP) acts as the primary level, suggesting the trend's likely direction.
The additional resistance levels (R1, R2, R3) and support levels (S1, S2, S3) offer further insight into potential trend reversals or continuations.
🔵 Camarilla Pivot Points
Featuring eight distinct levels, Camarilla pivot points closely correspond with support and resistance, making them highly effective for setting stop-loss orders and profit targets.
🔵 Woodie Pivot Points
Similar to floor pivot points, Woodie pivot points differ by placing greater emphasis on the closing price, often resulting in different pivot levels compared to the floor method.
🔵 Fibonacci Pivot Points
Fibonacci pivot points combine the standard floor pivot points with Fibonacci retracement levels applied to the previous trading period's range. Common retracement levels used are 38.2%, 61.8%, and 100%.
🟣 Sessions
Financial markets are divided into specific time segments, known as sessions, each with unique characteristics and activity levels. These sessions are active at different times throughout the day.
The primary sessions in financial markets include :
Asian Session
European Session
New York Session
The timing of these major sessions in UTC is as follows :
Asian Session: 23:00 to 06:00
European Session: 07:00 to 14:25
New York Session: 14:30 to 22:55
🟣 Kill Zones
Kill zones are periods within a session marked by heightened trading activity. During these times, trading volume surges and price movements become more pronounced.
The timing of the major kill zones in UTC is :
Asian Kill Zone: 23:00 to 03:55
European Kill Zone: 07:00 to 09:55
New York Kill Zone: 14:30 to 16:55
Combining kill zones and pivot points in financial market analysis provides several advantages :
Enhanced Market Sentiment Analysis : Aligns key price levels with high-activity periods for a clearer market sentiment.
Improved Timing for Trade Entries and Exits : Helps better time trades based on when price movements are most likely.
Higher Probability of Successful Trades : Increases the accuracy of predicting market movements and placing profitable trades.
Strategic Stop-Loss and Profit Target Placement : Allows for precise risk management by strategically setting stop-loss and profit targets.
Versatility Across Different Time Frames : Effective in both short and long time frames, suitable for various trading strategies.
Enhanced Trend Identification and Confirmation : Confirms trends using both pivot levels and high-activity periods, ensuring stronger trend validation.
In essence, this integrated approach enhances decision-making, optimizes trading performance, and improves risk management.
🟣 How to Use
🔵 Two Approaches to Trading Pivot Points
There are two main strategies for trading pivot points: utilizing "pivot point breakouts" and "price reversals."
🔵 Pivot Point Breakout
When the price breaks through pivot lines, it signals a shift in market sentiment to the trader. In the case of an upward breakout, where the price crosses these pivot lines, a trader might enter a long position, placing their stop-loss just below the pivot point (P).
Conversely, if the price breaks downward, a short position can be initiated below the pivot point. When using the pivot point breakout strategy, the first and second support levels can serve as profit targets in an upward trend. In a downward trend, these roles are filled by the first and second resistance levels.
🔵 Price Reversal
An alternative method involves waiting for the price to reverse at the support and resistance levels. To implement this strategy, traders should take positions opposite to the prevailing trend as the price rebounds from the pivot point.
While this tool is commonly used in higher time frames, it tends to produce better results in shorter time frames, such as 1-hour, 30-minute, and 15-minute intervals.
Three Strategies for Trading the Kill Zone
There are three principal strategies for trading within the kill zone :
Kill Zone Hunt
Breakout and Pullback to Kill Zone
Trading in the Trend of the Kill Zone
🔵 Kill Zone Hunt
This strategy involves waiting until the kill zone concludes and its high and low lines are established. If the price reaches one of these lines within the same session and is strongly rejected, a trade can be executed.
🔵 Breakout and Pullback to Kill Zone
In this approach, once the kill zone ends and its high and low lines stabilize, a trade can be made if the price breaks one of these lines decisively within the same session and then pulls back to that level.
🔵 Trading in the Trend of the Kill Zone
Kill zones are characterized by high trading volumes and strong trends. Therefore, trades can be placed in the direction of the prevailing trend. For instance, if an upward trend dominates this area, a buy trade can be entered when the price reaches a demand order block.
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ETH Long/Short Ratio BITFINEX - (ALPHRACTAL)Indicator Description: ETH Long/Short Ratio BITFINEX - (ALPHRACTAL)
The ETH Long/Short Ratio BITFINEX - (ALPHRACTAL) indicator provides a detailed analysis of Ethereum (ETH) long and short positions in USD and USDT on the Bitfinex exchange. This indicator is ideal for traders who want to monitor market behavior and better understand the relationship between long and short positions.
Features:
USD and USDT Long/Short Ratio:
Calculates and displays the ratio between long and short ETH positions in USD and USDT.
Helps identify market trends and the relative strength between buyers and sellers.
Color Configuration:
Allows customization of chart colors for clear and distinct visualization of USD and USDT ratios.
Uses colors with adjustable transparency to enhance chart visibility.
Label Display:
Option to show or hide labels indicating the type of ratio (USD or USDT) at the latest chart value.
Labels are useful for quickly identifying the visualized ratio.
Display Control:
Option to enable or disable the display of individual USD and USDT ratio charts.
Flexibility to view only the relevant data for your analysis.
How to Use:
Add the indicator to your chart to visualize the long/short ratios of ETH in USD and USDT.
Adjust colors and transparency as per your preference for better visual distinction.
Use the option to show or hide labels for quick identification of the data.
Analyze the relationship between long and short positions to make informed trading decisions, observing market buying and selling trends.
Example Use Cases:
Market Sentiment Analysis: An increase in the Long/Short ratio may indicate bullish sentiment among traders, while a decrease may indicate bearish sentiment.
Identifying Opportunities: Significant discrepancies between USD and USDT ratios may signal arbitrage opportunities or alert to significant market movements.
This indicator is a powerful tool for Ethereum traders who want a deeper understanding of market behavior and the dynamics of long and short positions on Bitfinex. Add the ETH Long/Short Ratio BITFINEX - (ALPHRACTAL) to your technical analysis toolkit and gain an edge in your trading strategy.
Emibap's HEX Uniswap v3 Liquidity PoolThis script will display a histogram of the Uniswap V3 HEX liquidity pool, versus as many tokens as possible.
Current supported pairs:
HEX/USDC
HEX/WETH
HEX/WETH.USD (Ethereum expressed in USD)
HEX/USDT (Just showing the USDC liquidity)
Similar to what you can see in the liquidity section of the Uniswap pool page but conveniently rendered alongside your chart.
It's meant to be used on a HEX / WETH chart only. The price should be expressed in WETH for it to work.
One of the main motivations for using this in your chart is to get an idea of the current sentiment: If most of the volume is above the price it might be an indication of an upcoming move up, for instance.
I'll try to update the liquidity regularly.
Using the 4h, daily, or weekly time frames is highly recommended.
The options are straightforward:
Histogram bars color. Default is blue
Histogram background color. Default is black at 20% opacity
Upper price limit of the diagram: Visible upper bound price limit for the histogram, based on the current price. I.E: 200%: If the price is 1, the histogram will show 3 as the upper bound
Lower price limit of the diagram. Visible lower bound price limit for the histogram, based on the current price. I.E: 99%: If the price is 1, the histogram will show 0. 01 as the upper bound
Width of the widest bar: Width (in bars) for the widest bar of the histogram. The more the higher resolution you'll get
Locked volume marker line thickness
Locked volume marker color
Emibap's Uniswap V3 HEX/USDC 3% Liquidity PoolThis script will display a histogram of the Uniswap V3 HEX / USDC 3% liquidity pool.
Similar to what you can see in the liquidity section of the Uniswap pool page but conveniently rendered alongside your chart.
It's meant to be used on any HEX / USDC chart only.
One of the main motivations for using this in your HEX / USDC chart is to get an idea of the current sentiment: If most of the volume is below the price it might be an indication of an upcoming move up, for instance.
I'll try to update the liquidity regularly; if possible several times a day.
Using the 4h, daily, or weekly time frames is highly recommended.
The options are straightforward:
Histogram bars color. Default is blue
Histogram background color. Default is black at 20% opacity
Upper price limit of the diagram: Visible upper bound price limit for the histogram, based on the current price. I.E: 200%: If the price is 1, the histogram will show 3 as the upper bound
Lower price limit of the diagram. Visible lower bound price limit for the histogram, based on the current price. I.E: 99%: If the price is 1, the histogram will show 0. 01 as the upper bound
Width of the widest bar: Width (in bars) for the widest bar of the histogram. The more the higher resolution you'll get
Call / All Ratio ( C / A ) - NoldoFirst of all this script inspired by MagicEins' Put/Call-Ratio-Buschi script .
What is the Put-Call Ratio
The put-call ratio is an indicator ratio that provides information about relative trading volumes of an underlying security's put options to its call options. The put-call ratio has long been viewed as an indicator of investor sentiment in the markets, where a large proportion of puts to calls indicates bearish sentiment, and vice versa. Technical traders use the put-call ratio as an indicator of performance and as a barometer of overall market sentiment. Put-call ratios on broader indexes such as the S&P 500 are also used as more general gauges of market climate.
Put-Call Ratio Interpretation
One way to interpret the put-call ratio is to say that a higher ratio means it's time to sell and a lower ratio means it's time to buy, because when the ratio is high it suggests that people are either expecting or protecting more readily against a future decline in the price of the underlying. A Put-Call ratio between 0.5 and 1 is considered a sideways trend in the markets.
Some also view the Put-Call ratio as a contrarian indicator. Traders know that derivatives are used to do more than place bets; they are used as hedges and insurance. If there's a lot of insurance being placed to the sell side, it means traders are worried about prices falling.
Some traders buy when the put-call ratio is above 1, meaning the market is out of balance to the sell side, and sell when the put-call ratio is below 1, meaning the market is out of balance to the buy side. These traders are looking to make money on the correction. The interpretation of the ratio is left to the analyst's or trader's investment philosophy.
Reference : Investopedia (www.investopedia.com)
Let' s start.
In short, calls represent "bulls" and puts represent "bears".
Some analysts do the opposite,for trend reversals the choice is up to you.
I usually look at the opposite comments in commercial positions because I look at this flow angle neutral.
If you want to do the opposite, you must create Put / All Ratio.
So i created this ratio to observe easily movements under or over 0.50 area .
Or you can take the point close to 0.50 as a horizontal trend. Many more comments can be made.I have a few ideas about this, and I'm going to publish them soon . My best suggestion is that it covers a single bar and is very volatile, so you can look for averages and strong accelerations.
This code is open source under the MIT license. If you have any improvements or corrections to suggest, please send me a pull request via the github repository github.com
Stay tuned , best regards.
Volume-Weighted Money Flow [sgbpulse]Overview
The VWMF indicator is an advanced technical analysis tool that combines and summarizes five leading momentum and volume indicators (OBV, PVT, A/D, CMF, MFI) into one clear oscillator. The indicator helps to provide a clear picture of market sentiment by measuring the pressure from buyers and sellers. Unlike single indicators, VWMF provides a comprehensive view of market money flow by weighting existing indicators and presenting them in a uniform and understandable format.
Indicator Components
VWMF combines the following indicators, each normalized to a range of 0 to 100 before being weighted:
On-Balance Volume (OBV): A cumulative indicator that measures positive and negative volume flow.
Price-Volume Trend (PVT): Similar to OBV, but incorporates relative price change for a more precise measure.
Accumulation/Distribution Line (A/D): Used to identify whether an asset is being bought (accumulated) or sold (distributed).
Chaikin Money Flow (CMF): Measures the money flow over a period based on the close price's position relative to the candle's range.
Money Flow Index (MFI): A momentum oscillator that combines price and volume to measure buying and selling pressure.
Understanding the Normalized Oscillators
The indicator combines the five different momentum indicators by normalizing each one to a uniform range of 0 to 100 .
Why is Normalization Important?
Indicators like OBV, PVT, and the A/D Line are cumulative indicators whose values can become very large. To assess their trend, we use a Moving Average as a dynamic reference line . The Moving Average allows us to understand whether the indicator is currently trending up or down relative to its average behavior over time.
How Does Normalization Work?
Our normalization fully preserves the original trend of each indicator.
For Cumulative Indicators (OBV, PVT, A/D): We calculate the difference between the current indicator value and its Moving Average. This difference is then passed to the normalization process.
- If the indicator is above its Moving Average, the difference will be positive, and the normalized value will be above 50.
- If the indicator is below its Moving Average, the difference will be negative, and the normalized value will be below 50.
Handling Extreme Values: To overcome the issue of extreme values in indicators like OBV, PVT, and the A/D Line , the function calculates the highest absolute value over the selected period. This value is used to prevent sharp spikes or drops in a single indicator from compromising the accuracy of the normalization over time. It's a sophisticated method that ensures the oscillators remain relevant and accurate.
For Bounded Indicators (CMF, MFI): These indicators already operate within a known range (for example, CMF is between -1 and 1, and MFI is between 0 and 100), so they are normalized directly without an additional reference line.
Reference Line Settings:
Moving Average Type: Allows the user to choose between a Simple Moving Average (SMA) and an Exponential Moving Average (EMA).
Volume Flow MA Length: Allows the user to set the lookback period for the Moving Average, which affects the indicator's sensitivity.
The 50 line serves as the new "center line." This ensures that, even after normalization, the determination of whether a specific indicator supports a bullish or bearish trend remains clear.
Settings and Visual Tools
The indicator offers several customization options to provide a rich analysis experience:
VWMF Oscillator (Blue Line): Represents the weighted average of all five indicators. Values above 50 indicate bullish momentum, and values below 50 indicate bearish momentum.
Strength Metrics (Bullish/Bearish Strength %): Two metrics that appear on the status line, showing the percentage of indicators supporting the current trend. They range from 0% to 100%, providing a quick view of the strength of the consensus.
Dynamic Background Colors: The background color of the chart automatically changes to bullish (a blue shade by default) or bearish (a default brown-gray shade) based on the trend. The transparency of the color shows the consensus strength—the more opaque the background, the more indicators support the trend.
Advanced Settings:
- Background Color Logic: Allows the user to choose the trigger for the background color: Weighted Value (based on the combined oscillator) or Strength (based on the majority of individual indicators).
- Weights: Provides full control over the weight of each of the five indicators in the final oscillator.
Using the Data Window
TradingView provides a useful Data Window that allows you to see the exact numerical values of each normalized oscillator separately, in addition to the trend strength data.
You can use this window to:
Get more detailed information on each indicator: Viewing the precise numerical data of each of the five indicators can help in making trading decisions.
Calibrate weights: If you want to manually adjust the indicator weights (in the settings menu), you can do so while tracking the impact of each indicator on the weighted oscillator in the Data Window.
The indicator's default setting is an equal weight of 20% for each of the five indicators.
Alert Conditions
The indicator comes with a variety of built-in alerts that can be configured through the TradingView alerts menu:
VWMF Cross Above 50: An alert when the VWMF oscillator crosses above the 50 line, indicating a potential bullish momentum shift.
VWMF Cross Below 50: An alert when the VWMF oscillator crosses below the 50 line, indicating a potential bearish momentum shift.
Bullish Strength: High But Not Absolute Consensus: An alert when the bullish trend strength reaches 60% or more but is less than 100%, indicating a high but not absolute consensus.
Bullish Strength at 100%: An alert when all five indicators (MFI, OBV, PVT, A/D, CMF) show bullish strength, indicating a full and absolute consensus.
Bearish Strength: High But Not Absolute Consensus: An alert when the bearish trend strength reaches 60% or more but is less than 100%, indicating a high but not absolute consensus.
Bearish Strength at 100%: An alert when all five indicators (MFI, OBV, PVT, A/D, CMF) show bearish strength, indicating a full and absolute consensus.
Summary
The VWMF indicator is a powerful, all-in-one tool for analyzing market momentum, money flow, and sentiment. By combining and normalizing five different indicators into a single oscillator, it offers a holistic and accurate view of the market's underlying trend. Its dynamic visual features and customizable settings, including the ability to adjust indicator weights, provide a flexible experience for both novice and experienced traders. The built-in alerts for momentum shifts and trend consensus make it an effective tool for spotting trading opportunities with confidence. In essence, VWMF distills complex market data into clear, actionable signals.
Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
Combined Futures Open Interest [Sam SDF-Solutions]The Combined Futures Open Interest indicator is designed to provide comprehensive analysis of market positioning by aggregating open interest data from the two nearest futures contracts. This dual-contract approach captures the complete picture of market participation, including rollover dynamics between front and back month contracts, offering traders crucial insights into institutional positioning and market sentiment.
Key Features:
Dual-Contract Aggregation: Automatically identifies and combines open interest from the first and second nearest futures contracts (e.g., ES1! + ES2!), providing a complete view of market positioning that single-contract analysis might miss.
Multi-Period Analysis: Tracks open interest changes across multiple timeframes:
1 Day: Immediate market sentiment shifts
1 Week: Short-term positioning trends
1 Month: Medium-term institutional flows
3 Months: Quarterly positioning aligned with contract expiration cycles
Smart Data Handling: Utilizes last known values when data is temporarily unavailable, preventing false signals from data gaps while clearly indicating when stale data is being used.
EMA Smoothing: Incorporates a customizable Exponential Moving Average (default 65 periods) to identify the underlying trend in open interest, filtering out daily noise and highlighting significant deviations.
Dynamic Visualization:
Color-coded main line showing directional changes (green for increases, red for decreases)
Optional fill areas between OI and EMA to visualize momentum
Separate contract lines for detailed rollover analysis
Customizable labels for significant percentage changes
Comprehensive Information Table: Displays real-time statistics including:
Current total open interest across both contracts
Period-over-period changes in absolute and percentage terms
EMA deviation metrics
Visual status indicators for quick assessment
Contract symbols and data quality warnings
Alert System: Configurable alerts for:
Significant daily changes (customizable threshold)
EMA crossovers indicating trend changes
Large percentage movements suggesting institutional activity
How It Works:
Contract Detection: The indicator automatically identifies the base futures symbol and constructs the appropriate contract codes for the two nearest expirations, or accepts manual symbol input for non-standard contracts.
Data Aggregation: Open interest data from both contracts is retrieved and summed, providing a complete picture that accounts for positions rolling between contracts.
Historical Comparison: The indicator calculates changes from multiple lookback periods (1/5/22/66 days) to show how positioning has evolved across different time horizons.
Trend Analysis: The EMA overlay helps identify whether current open interest is above or below its smoothed average, indicating momentum in position building or reduction.
Visual Feedback: The main line changes color based on daily changes, while the optional table provides detailed numerical analysis for traders requiring precise data.
___________________
This indicator is essential for futures traders, particularly those focused on index futures, commodities, or currency futures where understanding the aggregate positioning across nearby contracts is crucial. It's especially valuable during rollover periods when positions shift between contracts, and for identifying institutional accumulation or distribution patterns that single-contract analysis might miss. By combining multiple timeframe analysis with intelligent data handling and clear visualization, it simplifies the complex task of monitoring open interest dynamics across the futures curve.
Multi Timeframe Trend Screener [TradeDots]The "Multi Timeframe Trend Screener" is a trading indicator designed to assist traders in identifying the market trends of multiple assets within a single panel. This tool is invaluable for detecting shifts in trends, enabling traders to easily adjust their strategies under different market conditions.
HOW DOES IT WORK
Upon initialization, the indicator requires users to input two key pieces of information:
The assets to be monitored.
The timeframes to be analyzed.
The tool is capable of simultaneously tracking up to four assets across five distinct timeframes.
By specifying the type and length of the moving average, the indicator uses this data as a baseline to determine the current market trend.
A price movement below the moving average triggers a downward trend symbol (📉), indicating bearish conditions.
Conversely, a movement above the moving average displays an upward trend symbol (📈), signaling bullish conditions.
The aggregation of moving averages across various timeframes provides a comprehensive view of the overall market sentiment.
APPLICATION
In scenarios where the market consistently demonstrates an upward trend, each timeframe will display a bullish symbol. Shifts in market sentiment typically start in the shorter timeframes and can progressively affect longer ones if the trend continues.
This cascading effect allows the indicator to show all timeframes transitioning to a bearish orientation when the trend reverses.
The indicator also facilitates comparison between different assets. For assets with high correlation, a trend shift in one can often predict similar movements in correlated assets, thus allowing traders to swiftly adapt their strategies to align with new market conditions.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
NYSE TickThe NYSE Tick indicator is a market breadth indicator used to determine short-term bullish or bearish market sentiment. The NYSE Tick index compares the number of stocks on the New York Stock Exchange that are ticking up to the number of stocks ticking down at a specific moment in time. When the NYSE Tick is hovering around the zero line, roughly the same number of stocks are ticking up as are ticking down. When the overall market is rising it will usually present on the NYSE Tick as a rise in value that will generally stay mostly above the zero line for a period of time. The opposite is true when the general market is falling and can be seen as the NYSE Tick staying mostly below the zero line. This information can be very helpful for a short-term day trader who trades a market that also follows many of these same stocks, like the E-Mini S&P 500 Futures (ES), for example. While the index can theoretically rise or fall to over ±2,000 if all stocks on the NYSE are ticking up or down at the same time, it’s generally considered an extreme movement if the NYSE Tick is ±1,000. For this reason, the indicator has default reference lines at ±1,000 and halfway marks at ±500. In order to partially smooth out the movement and make movement trends more easily read, the indicator plots the values using Heikin Ashi candles instead of the standard bars or candlesticks. The price-line value displayed is an accurate live value, however, rather than the OHLC average value of a standard Heikin Ashi candle. Since the standard hours for the NYSE are Monday – Friday, 09:30 – 16:00 EST, the indicator only plots bars during this time.
Bolton-Tremblay IndexThe Bolton-Tremblay Index (BOLTR) is a dynamic cumulative advance-decline indicator which incorporates the count of unchanged issues as a fundamental element. This index serves as a valuable tool for identifying shifts in market trends and gauging the overall strength or weakness of the market. To enhance its effectiveness and reveal underlying trends, BOLTR has been refined through a Heiken-Ashi transformation, resulting in a smoother and more insightful representation.
Calculation and Methodology:
r = (adv - dec) / unch
var float bt = na
bt := r > 0 ? nz(bt ) + math.sqrt(math.abs(r)) : nz(bt ) - math.sqrt(math.abs(r))
The BOLTR index is derived from a calculation involving three essential components: advancing issues (ADV), declining issues (DEC), and securities with unchanged closing prices (UNC). By formulating the ratio (ADV - DEC) / UNC, BOLTR captures the relationship between market movements and unchanged securities. This ratio then dictates whether the BOLTR index increases or decreases in the following period. If the ratio is positive, the index advances, and if negative, it retreats. This iterative process yields a cumulative index that reflects the evolving dynamics of market trends.
Heiken-Ashi Transformation:
The addition of a Heiken-Ashi transformation imparts a smoothing effect to the BOLTR index, revealing the underlying trend with greater clarity. This transformation diminishes noise and fluctuations, making it easier to identify meaningful shifts in market sentiment and overall market health.
Utility and Use Cases:
-The Bolton-Tremblay Index offers a range of applications that contribute to informed decision-making-
1. Trend Analysis: BOLTR provides insights into the changing trends of the market, helping traders and investors identify potential shifts in market sentiment.
2. Market Strength Assessment: By considering advancing, declining, and unchanged issues, BOLTR offers a comprehensive assessment of market strength and potential weaknesses.
3. Divergences: Traders can use BOLTR to detect divergences between price movements and the cumulative advance-decline dynamics, potentially signaling shifts in market direction.
The Bolton-Tremblay Index offers a versatile toolset for interpreting market trends, evaluating market health, and making better informed trading decisions.
See Also:
- Other Market Breadth Indicators-
[blackcat] L3 Banker Fund SentimentLevel: 3
Background
If you like my banker fund series indicators, this may be another helpful one which describe banker fund sentiment with price and volume infomation.
c.
Function
Use price (major EMAs and SMAs) and volume infomation to model banker fund in a sensitive way which can be called banker fund sentiment. This was realized by a form of oscillator and 0 axis is an important boundary to define bull and bear senmtiments. I use different kind colors of columns to distinguish them.
I summarize how to use it in 1D timeframe:
1. When a fuchsia column appears below the 0 axis, start paying attention and watch for a bullish reversval around.
2. When a red column appears on the first day above the 0 axis, it is a signal of confirmed bullish trend.
3. There is a retraced in the middle and start doing T+0 trading to reduce costs.
4. When the pile of columns ( banker fund energy) breaks through the previous high in the late stage of the retracement, start to increase the bullish position, and be a short-term bullish relay, this is the best buying point!
5. Wait for 3-4 days to start reducing or flatting positions, and make your own decisions according to your personal risk preferences!
Remarks
When the pile of column breaks through the previous high point in the late stage of the retracement, and if the stock is a recent hot sector or concept stock,
Then increase your position and wait for the main force to pump! This indicator may not work alone, you should consider to combine your knowledge of other skills, e.g. candle pattern, news analysis etc.
B: long entry, green
S: short entry, red
column color
bullish trend: red color
confirmed bullish trend: maroon color
bullish retracement: blue color
bearish trend: green color
bearish retracement: fuchsia color
Feedbacks are appreciated.
Champs LevelsEasy Bullish & Bearish sentiments to show short term trends.
How it works:
Orange line → 8 EMA
Purple line → Premarket High
Red line → Premarket Low
Background flashes green when above both, red when below both
🚀 marker = bullish breakout, ⚠ marker = bearish breakdown
Alerts for both sides
VWAP SlopePublishing one of the simplest yet one of my favorite concepts. Had to publish since I didn't really find any script for this on TV.
VWAP slope.
This is nothing fancy because it's just calculating "slope" with a very basic level formula
vwap_slope = (vwap - vwap ) / length
Above zero line, it's positive zone.
Below zero line, it's a negative zone.
The idea is to avoid choppy conditions and stay true to larger readings, sometimes when we have vwap directly on chart and when price interacts with it, we tend to take the lot of bad trades.
The intention here is to avoid just that.
This is also good at tracking failure of change in sentiments, this failure is very important, because one's failure occurs there is significant movement in the opposite direction of the failure.
Since there isn't much alteration to this idea, there is not much to talk about tbh.
Just remember, this is an educational idea and not assurance of future performance.
Regards.
Multiple EMAAn exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average (SMA), which applies an equal weight to all observations in the period.
Here, i have merged multiple EMA into one indicator. traders would find it very convenient as multiple widely used EMA`s are merged into 1 indicator. one can also change the time and color from its settings as per their convenience.
About the practicality of this EMA`s:
Every EMA suggests the sentiments in a period of time.
The longer-day EMAs (i.e. 50 and 200-day) tend to be used more by long-term investors, while short-term investors tend to use 8 and 20 day EMAs.
One may prefer to short or to hedge their position when 200 day moving average is broken downside. vise-versa for long. Normally in one may expect around 2-3% move on either side when broken with volumes supporting it.
PsychSignal: Bullish/Bearish Sentiment Volume RatioPsychSignal sentiments data taken from www.quandl.com
EMA-Based Squeeze Dynamics (Gap Momentum & EWMA Projection)EMA-Based Squeeze Dynamics (Gap Momentum & EWMA Projection)
🚨 Main Utility: Early Squeeze Warning
The primary function of this indicator is to warn traders early when the market is approaching a "squeeze"—a tightening condition that often precedes significant moves or regime shifts. By visually highlighting areas of increasing tension, it helps traders anticipate potential volatility and prepare accordingly. This is intended to be a statistically and psychologically grounded replacement of so-called "fib-time-zones," which are overly-deterministic and subjective.
📌 Overview
The EMA-Based Squeeze Dynamics indicator projects future regime shifts (such as golden and death crosses) using exponential moving averages (EMAs). It employs historical interval data and current market conditions to dynamically forecast when the critical EMAs (50-period and 200-period) will reconverge, marking likely trend-change points.
This indicator leverages two core ideas:
Behavioral finance theory: Traders often collectively anticipate popular EMA crossovers, creating a self-fulfilling prophecy (normative social influence), similar to findings from Solomon Asch’s conformity experiments.
Bayesian-like updates: It utilizes historical crossover intervals as a prior, dynamically updating expectations based on evolving market data, ensuring its signals remain objectively grounded in actual market behavior.
⚙️ Technical & Mathematical Explanation
1. EMA Calculations and Regime Definitions
The indicator uses three EMAs:
Fast (9-period): Represents short-term price movement.
Medial (50-period): Indicates medium-term trend direction.
Slow (200-period): Defines long-term market sentiment.
Regime States:
Bullish: 50 EMA is above the 200 EMA.
Bearish: 50 EMA is below the 200 EMA.
A shift between these states triggers visual markers (arrows and labels) directly on the chart.
2. Gap Dynamics and Historical Intervals
At each crossover:
The indicator records the gap (distance) between the 50 and 200 EMAs.
It tracks the historical intervals between past crossovers.
An Exponentially Weighted Moving Average (EWMA) of these intervals is calculated, weighting recent intervals more heavily, dynamically updating expectations.
Important note:
After every regime shift, the projected crossover line resets its calculation. This reset is visually evident as the projection line appears to move further away after each regime change, temporarily "repelled" until the EMAs begin converging again. This ensures projections remain realistic, grounded in actual EMA convergence, and prevents overly optimistic forecasts immediately after a regime shift.
3. Gap Momentum & Adaptive Scaling
The indicator measures how quickly or slowly the gap between EMAs is changing ("gap momentum") and adjusts its forecast accordingly:
If the gap narrows rapidly, a crossover becomes more imminent.
If the gap widens, the next crossover is pushed further into the future.
The "gap factor" dynamically scales the projection based on recent gap momentum, bounded between reasonable limits (0.7–1.3).
4. Squeeze Ratio & Background Color (Visual Cues)
A "squeeze ratio" is computed when market conditions indicate tightening:
In a bullish regime, if the fast EMA is below the medial EMA (price pulling back towards long-term support), the squeeze ratio increases.
In a bearish regime, if the fast EMA rises above the medial EMA (price rallying into long-term resistance), the squeeze ratio increases.
What the Background Colors Mean:
Red Background: Indicates a bullish squeeze—price is compressing downward, hinting a bullish reversal or continuation breakout may occur soon.
Green Background: Indicates a bearish squeeze—price is compressing upward, suggesting a bearish reversal or continuation breakout could soon follow.
Opacity Explanation:
The transparency (opacity) of the background indicates the intensity of the squeeze:
High Opacity (solid color): Strong squeeze, high likelihood of imminent volatility or regime shift.
Low Opacity (faint color): Mild squeeze, signaling early stages of tightening.
Thus, more vivid colors serve as urgent visual warnings that a squeeze is rapidly intensifying.
5. Projected Next Crossover and Pseudo Crossover Mechanism
The indicator calculates an estimated future bar when a crossover (and thus, regime shift) is expected to occur. This calculation incorporates:
Historical EWMA interval.
Current squeeze intensity.
Gap momentum.
A dynamic penalty based on divergence from baseline conditions.
The "Pseudo Crossover" Explained:
A key adaptive feature is the pseudo crossover mechanism. If price action significantly deviates from the projected crossover (for example, if price stays beyond the projected line longer than expected), the indicator acknowledges the projection was incorrect and triggers a "pseudo crossover" event. Essentially, this acts as a reset, updating historical intervals with a weighted adjustment to recalibrate future predictions. In other words, if the indicator’s initial forecast proves inaccurate, it recognizes this quickly, resets itself, and tries again—ensuring it remains responsive and adaptive to actual market conditions.
🧠 Behavioral Theory: Normative Social Influence
This indicator is rooted in behavioral finance theory, specifically leveraging normative social influence (conformity). Traders commonly watch EMA signals (especially the 50 and 200 EMA crossovers). When traders collectively anticipate these signals, they begin trading ahead of actual crossovers, effectively creating self-fulfilling prophecies—similar to Solomon Asch’s famous conformity experiments, where individuals adopted group behaviors even against direct evidence.
This behavior means genuine regime shifts (actual EMA crossovers) rarely occur until EMAs visibly reconverge due to widespread anticipatory trading activity. The indicator quantifies these dynamics by objectively measuring EMA convergence and updating projections accordingly.
📊 How to Use This Indicator
Monitor the background color and opacity as primary visual cues.
A strongly colored background (solid red/green) is an early alert that a squeeze is intensifying—prepare for potential volatility or a regime shift.
Projected crossover lines give a dynamic target bar to watch for trend reversals or confirmations.
After each regime shift, expect a reset of the projection line. The line may seem initially repelled from price action, but it will recalibrate as EMAs converge again.
Trust the pseudo crossover mechanism to automatically recalibrate the indicator if its original projection misses.
🎯 Why Choose This Indicator?
Early Warning: Visual squeeze intensity helps anticipate market breakouts.
Behaviorally Grounded: Leverages real trader psychology (conformity and anticipation).
Objective & Adaptive: Uses real-time, data-driven updates rather than static levels or subjective analysis.
Easy to Interpret: Clear visual signals (arrows, labels, colors) simplify trading decisions.
Self-correcting (Pseudo Crossovers): Quickly adjusts when initial predictions miss, maintaining accuracy over time.
Summary:
The EMA-Based Squeeze Dynamics Indicator combines behavioral insights, dynamic Bayesian-like updates, intuitive visual cues, and a self-correcting pseudo crossover feature to offer traders a reliable early warning system for market squeezes and impending regime shifts. It transparently recalibrates after each regime shift and automatically resets whenever projections prove inaccurate—ensuring you always have an adaptive, realistic forecast.
Whether you're a discretionary trader or algorithmic strategist, this indicator provides a powerful tool to navigate market volatility effectively.
Happy Trading! 📈✨
Market Structure [ActiveQuants]The Market Structure indicator is a powerful tool designed to help traders identify key market structure shifts and change of character (CHoCH) points. By plotting swing highs, swing lows, and structural breaks , this indicator allows traders to track price action dynamics, improving trade execution and strategy development.
█ KEY FEATURES
Market Structure Visualization : Automatically detects and plots pivot highs and pivot lows , highlighting structural points on the chart.
Change of Character (CHoCH) Detection : Identifies bullish and bearish CHoCH events, marking key shifts in market sentiment.
Customizable Sensitivity : Adjust the pivot sensitivity to fine-tune market structure identification based on different trading styles and timeframes.
Dynamic Labeling & Line Management : Automatically removes old lines and labels to keep the chart clean and focused on recent price action.
User-Defined Display Options : Customize the colors, visibility, and number of bars shown to match your personal trading preferences.
█ CONCLUSION
The Market Structure & CHoCH Indicator is an essential tool for traders who rely on price action and structure-based strategies. By visually mapping key swing points and structure shifts , it enhances decision-making, helping traders align with the market trend and spot potential reversals.
█ IMPORTANT
⚠ CHoCH signals should be used in conjunction with other confluences such as supply & demand zones, order flow, or trend confirmation.
⚠ Adjust pivot sensitivity based on your preferred timeframe and asset class to optimize accuracy.
Incorporate this indicator into your trading workflow to enhance market structure analysis and refine entry & exit strategies .
📈 Happy trading! 🚀
