在腳本中搜尋"Wyckoff"
Spring Bar DetectorA Spring is a false breakdown below a well-defined support level, followed by a sharp rebound. It's a form of bear trap, where price dips below support just enough to trigger stop-loss orders and attract short sellers—only to reverse strongly, indicating that smart money is absorbing supply.
GKD-V Weis Wave [Loxx]Giga Kaleidoscope GKD-V Weis Wave is a Volatility/Volume module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines , channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility . There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility ; e.g., Average True Range , True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility / Volume - a technical indicator used to identify volatility / volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR ( Average True Range ) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility . As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double ( TRD ), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index ( RSI ), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index ( RSI ).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands , the MACD (Moving Average Convergence Divergence), and the Stochastic Oscillator. These indicators can provide information about the volatility , momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility / Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow ( CMF ), or the Volume Price Trend ( VPT ), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index . Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index ( RSI ), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR , the Average Directional Index ( ADX ), and the Chandelier Exit .
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module ( Volatility , Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility / Volume , Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility / Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility / Volume . The Volatility / Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility , and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Weis Wave as shown on the chart above
Confirmation 1: Vortex
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility / Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility / Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close)
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility / Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close)
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility / Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility / Volume Agrees
█ GKD-C Weis Wave
What is Weis Wave?
The Weis Wave Indicator is a technical analysis tool used by traders to analyze market trends and identify potential turning points in financial markets. It was developed by David Weis, a trader and market analyst with over 45 years of experience.
The Weis Wave Indicator is based on the principles of market waves, which are the repetitive patterns of market behavior that occur in financial markets. These waves are characterized by price movements that occur in a series of up and down trends, and they are used by traders to identify potential market reversals or breakouts.
The Weis Wave Indicator is a histogram that represents the difference between the cumulative sum of the bullish and bearish waves. The indicator is plotted on a chart as a series of bars that change color depending on the direction of the market trend. If the market is trending up, the bars will be green, while if the market is trending down, the bars will be red.
The formula for the Weis Wave Indicator is based on the accumulation and distribution of volume over time. It uses a cumulative delta volume calculation to determine the strength of market trends and identify potential turning points. The formula is as follows:
Weis Wave Volume = Net Buying Volume - Net Selling Volume
The Weis Wave Indicator is used by traders to identify potential market trends and turning points. It is particularly useful in identifying market breakouts and reversals, as well as in detecting divergences between price and volume. The indicator is commonly used in conjunction with other technical analysis tools, such as moving averages, trend lines, and support and resistance levels, to confirm market trends and generate trading signals.
Specifically, the Weis Wave Volume Indicator is an oscillator that measures the volume of price changes. It combines both momentum and volume to indicate buying and selling pressure. The indicator is designed to show a bull market when the volume is increasing and the price is rising, and a bear market when the volume is decreasing and the price is falling ¹.
The Weis Wave Plugin creates wave charts along with their corresponding wave volume. Wave charts were first created by Richard D. Wyckoff. In his famous course on stock market technique, he instructed students to “think in waves.” Wave analysis was an integral part of his trading method. The Weis Wave is an adaptation of Wyckoff’s method that handles today’s volatile markets ².
This indicator has the option of either ATR, volume, or partial close for source input.
(1) Weis Wave Volume Indicator - Trend Following System. www.trendfollowingsystem.com Accessed 4/7/2023.
(2) Weis Wave Plugin: A Modern Adaptation of the Wyckoff Wave & Volume. weisonwyckoff.com Accessed 4/7/2023.
(3) Weis Wave Volume Indicator: Simple But Extremely Effective. howtotradeblog.com Accessed 4/7/2023.
(4) How to use the Weis Waves indicator in ATAS. atas.net Accessed 4/7/2023.
Requirements
Inputs
Chained: GKD-B Baseline
Solo: NA, no inputs
Baseline + Volatility/Volume: GKD-B Baseline
Outputs
Chained: GKD-C indicators Confirmation 1 or Solo Confirmation Complex
Solo: GKD-BT Backtest
Baseline + Volatility/Volume: GKD-BT Backtest
Additional features will be added in future releases.
Keltner Center Of Gravity Channel ( KeltCOG )I have the ambition to create a ‘landscape’ which enables the user to see the ‘mood’ of the market about the price of an instrument, simply by looking where the candles go. Prices are a simple phenomenon , they go up or down or stay the same. This is represented quite well for the short term by a candle. I recommend to study candle patterns. Prices not only fluctuate but also trend up, down or go sideways. The user should analyze this by determining the COG (Center Of Gravity) and the ‘normal’ current range by using the historical data in a lookback period.
As a COG the center line of a Donchian Channel is often used. I.m.o. a COG should be a zone, in this channel I use the gray zone of my Donchian Fibonacci Channel, The ‘normal’ range is a multiple of Average True Range, as used in a Keltner Channel. Combining the two can give a cumbersome result, as one can see in my Keltner Fibonacci Channel. In this KeltCOG channel I solved this by not using all Fibonacci levels and by making the Keltner lines strictly parallel to the nearest COG line. To do this, I use the fact that the COG lines have horizontal stretches, there I make the Keltner lines horizontal too. Only where the COG lines change value, the Keltner lines are recalculated. This way the channel gets a very regular shape with three clear zones.
Interpretation of a chart by using the KeltCOG channel.
Overbought: If the candles go higher then the blue zone, the market is hyper enthusiast, creating an overbought situation. This is often followed by a reversion to the COG.
Uptrend: If the candles form in the blue zone, the market is enthusiast and willing to pay more.
Hopeful: If the candles form in or near the upper uncolored zone, the market is hopeful and is thinking about paying more. Sometimes prices go a little up.
Content: If the candles form in the gray zone, which represents COG, the market is happy with the current prices, so these move sideways
Disappointed: If the candles form in or near the lower uncolored zone, the market is disappointed and contemplates paying less, sometimes prices go a little down.
Downtrend: If the candles form in red zone, the market doesn’t like the instrument at all, rejects the current price and is only prepared to pay less.
Oversold: If the candles form below the red zone, the market overdoes its disgust, creating an oversold situation, often followed by a reversion to the COG.
Counters RatioCounters Ratio
This is an oscillator like indicator.
Bubbles are used to show the intensity with which buyers overtake sellers or vice-versa.
Bigger bubbles would indicate an oversold or overbought condition, when there is more imbalance between sell volume and buy volume .
They may appear sometimes on low volume - this may be a weak overbought or oversold indication.
The big bubbles that appear on significant volume could be used to find divergences with price.
Multiple instances of the indicator can be combined to get a bigger picture.
In the indicator's settings, a ratio limit can be set for the overbought or oversold condition.
Alerts for counters imbalance can be set to fire whenever the condition is satisfied.
Related tools:
• Volume Delta
• CVD
On Balance Consolidated Volume 1min [BTC] CCI EMA OROn Balance Consolidated Volume var interval
38 Exchanges
Volume Heatmap v7FTJR20This indicator is a heatmap of the financial volume used in the asset, I use three different means to define the heatmap separating it into 3 phases
Phase A: Low volume
Phase B: Medium volume
Phase C: High volume
don't worry about these data, the indicator is configured to auto-interpret the information.
The heatmap uses the following colors and specifications
Red = Ultra High Volume
Orange = High Volume
Yellow = Average Volume (balance)
Blue = Low volume
White = Volume below average
The heatmap compares the phases to identify if it finds a standard deviation over time, that is, you can see a smaller volume with the same red bar as a previous larger red bar, this is because the attacks are updated in real time.
Tutorial:
1 - In point 1 we have an aggression with yellow and orange bars, that is, a balance with aggressions. As we are coming from an uptrend, the probability is a reversal and the answer came in sequence with a red drop bar with ultra volume, so we have a seller in control.
2- after point 1, we see that we only have several blue and white bars, that is, possibly the red bar absorbed the seller and the seller flow was decreasing, notice that the prices held for 3x so the buyer attacks the seller with an orange bar.
3- at point 3, we have two yellow bars, a balance, notice that it is an aggression, any yellow, orange or red bar is an aggression, that is, there was a passive seller selling at higher values, taking advantage of the stops in a region where there was buying demand (people buying wrong!)
4- Before reaching point 4, notice that in general the price is moving practically sideways and the volume is decreasing (white and blue bars), exhaustion of the buyer volume (no demand) and the answer in point 4 came in aggression with yellow bars and oranges.
* the seller lets the market go up to make sure he is in control and when he tests the pivot zone he attacks with a red bar (notice that this red bar is smaller than the previous ones, this is the magic of the indicator divided into 3 phases).
5- After the market goes through the natural distribution phases, we see a red bar with a high spread, whenever you see a red bar with a 2 to 3x spreed, it is a region with potential for reversal.
6- Note that after the characteristics of point 5 the asset works in zig zag, volume decreasing and the reversal comes with little volume, it is natural to engulf without volume this is the reversal signal, notice that it touches the bottom several times and not loses the region after a red bar with very high spread.
*notice that the buyer let it form a giant (shoulder head shoulder) to make a trap and the price always respected the volume of the first red bar at point 1.
7- see that the asset entered an uptrend and the phase is repeating itself, asset rising in a wave A, made a corrective B wave in smaller ABC and is making a C wave, at this moment it is a probability to enter a red bar after test the resistance and have a significant increase in volume.
- I like your feedback and leave your settings and experiences in the comments.
efficiency of bulls and bears for VSA(Google translation from Russian.)
This indicator shows the effectiveness of selling or buying.
It is calculated as follows: using percentrank, the volume and the value of the spread are estimated (momentum = 1)
the resulting estimate of the volume value is divided by the estimate of the spread (momentum = 1) and thus we obtain the value. The larger it is, the more efficient and easier the price movement was.
If the indicator value is small, then this means that the movement was ineffective, because the volume (money) was invested. but no result.
The color of the volume bars is assigned as follows:
Buyers:
If the volume is large - Blue - green
If middle, then blue
Small - light blue
Sellers:
If the volume is large - Burgundy color
If middle, then purple
Small volume - light purple
Indicator parameters:
Comparison period - the period at which the volumes and spread are compared with each other - by default it is 50, selected as the most universal period suitable for different timeframes. But for daytime ones. Weekly and monthly timeframes may need to be shortened. This is true after significant spikes in volume that are exceptional over the long term.
Period spread - Bars from close to close - or in other words, it is momentum - defaults to 1
sensitivity of increased volumes - according to the percentrank indicator - the limit above which the volume will be considered large, the same as in the Volume on bar VSA - indicator V2 - for clarity, I recommend looking at it.
The default is 85, which means. that if the current value of the volume is greater than 85% of the remaining values in this period, then such a value of the volume will be considered high.
medium volume sensitivity - the same sensitivity of increased volumes but for medium volumes.
multiplier of increased volumes - this is an empirical factor to emphasize the importance of increased volumes - default = 20
multiplier of average volumes - the same. As above, but for medium volumes - the default is 10
reduced volume multiplier - Default is 1.
Knowledge of VSA is required to read this indicator
This indicator is recommended for use with indicators:
Volume on bar VSA - indicator V2
BAR for VSA
Russian language
Этот индикатор показывает эффективность продаж или покупок.
Рассчитывается следующим образом: с помощью percentrank оценивается величина объема и велечина спреда (momentum = 1)
полученная оценка велечины объема делится на оценку спреда (momentum = 1) и таким образом получаем значение. Чем оно больше, тем движение цены было эффективнее и легче.
Если значение индикатора маленькое, то это означает, что движение было неэффективным, поскольку объем (деньги) вложили. а результата нет.
Цвет барам объемов присваиваются следующим образом:
У покупателей:
Если объем большой - Сине – зелёный цвет
Если средний – то голубой
Маленький – свело-голубой
У продавцов:
Если объем большой - Бордовый цвет
Если средний – то пурпурный
Маленький объем – светло-пурпурный
Параметры индикатора:
Comparison period (период для сравнения) – период на котором между собой сравниваются объемы и спред – по умолчанию равно 50 , выбрано как наиболее универсальный период подходящий для различных таймфреймов. Но для дневных. Недельных и месячных таймфреймов может потребоваться уменьшить период. Это актуально после значительных всплесков объемов, которые являются исключительными на длительном периоде.
Period spread - Bars from close to close (Период спреда - Баров от закрытия до закрытия) – или другими словами это momentum – по умолчанию равно 1
sensitivity of increased volumes (чувствительность повышенных объемов) – согласно индикатору percentrank – граница выше которой объем будет считаться большим, то же самое, что в индикаторе Volume on bar VSA - indicator V2 – для наглядности как это работает рекомендую посмотреть его.
По умолчанию задано 85 – это означает. что если текущее значение объема больше, чем 85% остальных значений на этом периоде, то такое значение объема будет считаться высоким.
medium volume sensitivity (чувствительность средних объемов) – то же самое sensitivity of increased volumes но для средних объемов.
multiplier of increased volumes (множитель (вес) повышенных объемов) – это эмперический коэффициент для придания особой важности повышенным объемам- по умолчанию = 20
multiplier of average volumes (множитель (вес) средних объемов) – то же самое. Что и выше, но для средних объемов – по умолчанию равно 10
reduced volume multiplier (множитель (вес) пониженных объемов) – по умолчанию равно 1.
Для чтения данного индикатора необходимо знание VSA
Этот индикатор рекомендуется использовать с индикаторами:
Volume on bar VSA - indicator V2
BAR for VSA
VSA Trading Assistant DashboardThe VSA Trade Assistant is a fully featured data dashboard and information management tool that visually tracks, analyzes and displays key performance indicators in any BTC related market on Trading View
This indicator recognizes climatic up and down bars including when their vol is very high (at least 100 percent of the bar is above the average vol line) and when the subsequent bar is in the opposite direction of the climactic move.
The composite volume of 7 different exchanges is used by this indicator to determine when climactic volume has occurred.
Leave feedback, we'll be adding features to this indicator over time
[Dipiers] Phoenix MTF v2.1This indicator is a modified (Multi Timeframe) version of the Phoenix Ascending that you can find between the @WyckoffMode scripts and it follows the same rules at the moment of the pubblication.
A special thanks to @Neuromantic that did a great part of the MTF coding and to @HedgeMode for the "real-time" idea to make the ongoing candle visibly different to always remember that it hasn't closed yet.
The chart TF must be the lowest between all the ones analysed.
The value of the higher TFs candles are the ones at the last close so to avoid repainting.
It is best used applying no more than a couple of TFs each chart so to have a better view of the races, you can apply the indicator multiple times to have a good view of the different TFs.
If you are using the code remember to give credit to the persons have worked on it.
ATS LOGIC CHART EXPERT V5.0### **ATS Logic Chart Expert V5.0**
#### **Wyckoff-Inspired Automated Trend & Structure Analysis Tool**
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### **🔹 Overview**
**ATS Logic Chart Expert V5.0** is an advanced Wyckoff-based charting indicator designed for automated trend analysis, support/resistance mapping, and breakout signal generation. It intelligently plots key price structure lines and identifies high-probability reversal signals using the Wyckoff accumulation/distribution model (LPS/LPSY), making it ideal for both swing traders and trend followers.
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### **🔹 Key Features**
#### **1️⃣ Automated Price Structure Lines**
- **Smart detection of swing highs/lows** with auto-plotting of critical support/resistance
- **White Dashed Line (Resistance)** – Formed by prior downtrends, marks potential breakout zones
- **Red Dashed Line (Support)** – Derived from uptrends, signals breakdown risks
- **Up/Down Triangle Markers** – Highlight key pivot points for manual S/R refinement
#### **2️⃣ Wyckoff LPS/LPSY Signal Engine**
| **Signal** | **Trigger Condition** | **Market Implication** |
|------------|----------------------|-----------------------|
| **LPS (Last Point of Support)** | Break above white resistance (confirms accumulation) | Bullish trend initiation |
| **CVG LPS (Covered LPS)** | Retest & second breakout | Stronger bullish confirmation |
| **LPSY (Last Point of Supply)** | Breakdown below red support (confirms distribution) | Bearish trend initiation |
| **CVG LPSY (Covered LPSY)** | Pullback & second breakdown | Stronger bearish confirmation |
#### **3️⃣ Breakout Signals (BK1/SK1)**
- **BK1 (Breakout 1)** – First close above white resistance, early long opportunity
- **SK1 (Short Kill 1)** – First close below red support, early short opportunity
- **Optimized for momentum traders** to capture initial trend acceleration
---
### **🔹 Signal Logic Deep Dive**
#### **📈 Bullish Scenario (LPS / BK1)**
1. **Accumulation Phase**: Price consolidates near lows, forming a base
2. **Breakout**: Price breaches white resistance → triggers **LPS** or **BK1**
3. **Retest Reinforcement**: Successful retest & rebound → confirms **CVG LPS**
#### **📉 Bearish Scenario (LPSY / SK1)**
1. **Distribution Phase**: Price churns near highs, creating topping patterns
2. **Breakdown**: Price cracks red support → triggers **LPSY** or **SK1**
3. **Pullback Reinforcement**: Failed rebound → confirms **CVG LPSY**
---
### **🔹 Practical Applications**
✅ **Trend Trading**: Ride LPS/LPSY-confirmed trends
✅ **Reversal Trading**: Fade extremes with BK1/SK1 early alerts
✅ **S/R Trading**: Use auto-plotted lines for limit orders
---
### **🔹 Customization Tips**
- **Adjust sensitivity**: Modify swing point detection periods per asset volatility
- **Signal filters**: Combine with moving averages/volume for fewer false breaks
---
### **🔹 Conclusion**
**ATS Logic Chart Expert V5.0** delivers:
- **Hands-free structure mapping** (no manual drawing)
- **Institutional-grade reversal signals** (Wyckoff LPS/LPSY)
- **First-mover advantage** (BK1/SK1 early entries)
> ⚠️ **Risk Note**: Always use stop-losses. Backtest for optimal settings in ranging markets.
---
**Ideal For**:
• Wyckoff method practitioners
• Price action traders
• Breakout strategy enthusiasts
[Pandora's Chambers] BUY/SELL Blocks + Strength FCBased on the secret technique of ATTA,
Traditional price action analysis techniques, such as ICT (Inner Circle Trader), are often based on subjective interpretations and frequently miss the true structure of the market according to the Wyckoff method. The " BUY/SELL Blocks + Strength FC" indicator aims to correct this problem by automatically and accurately identifying buy/sell "blocks" according to Wyckoff principles, calculating volume strength, filtering breached blocks, and displaying precise support and resistance levels.
Indicator Highlights
Buy/Sell Blocks Identification
Uses the ta.pivothigh and ta.pivotlow functions to locate upper and lower pivot points, and draws a "box" between the two points to represent the block.
Each block is automatically extended to the right of the chart (can be disabled in settings) for a fixed number of bars or until the end of the chart.
Colors are configurable: turquoise shades for buy blocks, and purple for sell blocks.
Volume Strength Calculation and Update
In each candle, positive volume (in a rising market) or negative volume (in a falling market) is added to the relevant block.
Displays in percentages which side (buyers/sellers) controls the block: a label on the block shows +XX% or -XX%.
Changes the background color of the box to gray when the net volume flips (e.g., a strong sell block receives a net positive).
Filtering Breached Blocks
Option to automatically filter and remove blocks where the price has closed above the top of the sell block or below the bottom of the buy block, in order to maintain a clean and focused chart.
"Adjusted" Fibonacci Grid
In the last calculated bars, the indicator identifies the nearest high support level (sup) and the nearest low resistance level (res) among all existing blocks.
Based on sup and res, a Fibonacci grid of 0%, 25%, 50%, 75%, and 100% is constructed, automatically updating as the chart progresses.
What is so new here?
Accuracy according to Wyckoff and not personal interpretation: In the Wyckoff method, market oscillations are built on supply and demand balances in precise price gaps. Here, each block is built directly on pivots from a number of bars back, and not on feelings of an "area" as is sometimes done in ICT techniques.
Quantitative measurement of control: The indicator does not settle for a visual identification of a block but calculates for each block the buy volume versus the sell volume, and clearly displays who is in control.
Automatic filtering to maintain relevance: Breached blocks are removed, so only the strong areas that have not yet been closed remain.
Full integration with modern price action: Understanding price movement is measured here objectively, leaving no room for subjective interpretations of "structure breaks" or "diagonal waves" that standard tools do not support.
Why is the existing price action not enough?
Inconsistency in defining supply and demand zones: Many techniques rely on manual marking of "buy zones" only, without fixed criteria (number of bars back, low highs, volume, etc.).
Scarcity of quantitative indicators: Without calculating net volume, it is difficult to know if a particular block is truly supported by the power of buyers or sellers.
Net invalidation of blocks that have been violated: Repeated breaches of support and resistance areas below/above their boundaries confuse the trader, while here they are automatically removed.
The " BUY/SELL Blocks + Strength FC" indicator comes to correct all these shortcomings, and provides the user with an objective, accurate, and quantitative framework for understanding the dynamics of the market and identifying volume-based support and resistance areas, according to the principles of the Wyckoff method.
[AlbaTherium] Volume Venturius Premium Volume Venturius Premium
Introduction
The Volume Venturius Premium is an advanced market analysis tool designed to deeply investigate the behavior of active market participants. By focusing exclusively on executed market orders, Volume Venturius offers traders a unique perspective on buy and sell volumes. Unlike traditional order books that track passive orders, this indicator isolates active orders, shedding light on real market dynamics.
Chapter 1: Understanding Market Participants
1.1 Categories of Market Participants
Market participants can be classified into several categories based on their:
Size : The volume of trades executed.
Influence : Their ability to initiate bull or bear campaigns.
Strategy : The trading methods employed, such as scalping, swing trading, or high-frequency trading.
Objectives : Whether their focus is on speculation, hedging, or arbitrage.
Time Horizon : Short-term versus long-term goals.
Behavioral Patterns : Their reaction to liquidity levels or price movements.
1.2 Objectives of Market Participants
Each category pursues specific objectives, such as profit-making or risk management. Regulatory reports like the Commitment of Traders (COT) provide weekly insights into the positions and intentions of major players.
Chapter 2: The Philosophy of Volume Analysis
2.1 Active Orders vs. Passive Orders
Unlike passive orders waiting to be filled at specific prices, active orders directly impact market prices. By focusing on these executed orders, Volume Venturius Premium provides traders with actionable insights into market trends and momentum.
2.2 Wyckoff’s Market Dynamics
According to Wyckoff, markets operate in two primary phases:
Manipulation: Where large participants accumulate or distribute positions to prepare for a move.
Expansion: The phase where price trends begin to unfold, either in a bullish or bearish direction.
Wyckoff’s theory emphasizes understanding how major players manipulate the market to identify accumulation or distribution zones. Volume Venturius Premium aids in pinpointing these manipulative actions by analyzing volume and order flow data.
Chapter 3: The Secrets of Order Flow and Volume
3.1 Unveiling Market Control
By studying the positioning and execution volumes of large players, traders can discern who holds control in the market. Volume Venturius Premium identifies the balance of power and tracks shifts that signal potential trend reversals.
3.2 Behavioral Patterns in Volume
Key metrics tracked by Volume Venturius Premium include:
Volume Clusters : Areas of concentrated buying or selling activity.
Directional Bias : Whether market participants are net buyers or sellers.
Momentum Shifts : Changes in execution speed and volume that may precede major moves.
3.2.1 Volume Clusters, Directional Bias and Directional Bias: Areas of Concentrated Buying or Selling Activity
Volume clusters play a crucial role in understanding market dynamics by highlighting areas where aggressive buying or selling activity is most concentrated. These clusters often serve as key decision zones, providing insights into potential reversals, breakouts, or continuations. To better visualize and interpret these zones, a distinct color-coding system has been implemented. Each color represents a specific market condition or level of activity, allowing for a more intuitive analysis of volume behavior and its influence on price movement.
Below is a detailed explanation of the color logic used to represent these clusters and their significance within the trading framework.
Color Interpretation and Meaning :
Extra Extreme Zones
These zones highlight areas where clusters of aggressive buyers or sellers are most heavily concentrated. They represent critical levels for identifying potential reversals or strong continuations.
Bright Red (#ff003c) : Represents extra-extreme sell zones, where aggressive sellers dominate.
Meaning: Indicates extreme selling pressure, often signaling potential exhaustion of sellers.
Bright Blue (#001eff) : Represents extra-extreme buy zones, where aggressive buyers are most active.
Meaning: Shows extreme buying pressure, possibly marking a saturation point for buyers.
Main Zones
These zones help identify key levels based on volume activity and well-defined clusters.
Dark Red (#d60033) : Represents strong selling pressure.
Orange (#ff8000) : Indicates significant selling pressure that begins to fade.
Yellow (#ffff00) : Represents moderate selling pressure, signaling a potential slowdown.
White (#ffffff) : Marks transition zones, which are interesting entry points for potential reversals or continuations.
Transition Zones (Frontier Zones)
These zones indicate intermediate movements and potential shifts in momentum.
Transparent Black (#000000, 50) : Represents transition areas, where the market tests boundaries between buyers and sellers.
Meaning: These are critical decision points.
Neutral Zone (Sea Zone)- Trend Zones
These zones represent more balanced market activity, where neither buyers nor sellers dominate clearly.
Transparent Green (#00e040, 25) : Indicates slight bullish activity in a neutral zone.
Transparent Red (#e01a00, 25) : Indicates slight bearish activity in a neutral zone.
This color logic allows you to pinpoint areas where volume clusters show a clear dominance, exhaustion, or optimal entry opportunities.
3.3 Divergences Between Price and Volume
Divergences between price and volume are critical for identifying key shifts in market sentiment. Volume Venturius Premium distinguishes two main types of divergences: Lack of Participation and Absorption, each offering valuable signals for potential reversals or continuations.
Lack of Participation
This divergence occurs when price movements are not supported by corresponding volume dynamics, signaling a reduction in activity from significant market participants.
1. Bullish Lack of Participation:
Characteristics : Price is making lower lows, but volume is making higher lows.
This indicates waning selling pressure as prices drop.
Inference : A potential bullish reversal may occur. Traders could consider looking for opportunities to go long.
2.Bearish Lack of Participation:
Characteristics : Price is making higher highs, but volume is making lower highs. This suggests diminishing buying pressure even as prices rise.
Inference : A potential bearish reversal might follow. Traders might position to go short.
Absorption
Absorption occurs when larger market participants neutralize the pressure from smaller participants, often leading to significant market moves.
1.Bullish Absorption:
Characteristics : Price is making higher bottoms, but volume is making lower bottoms.
This reflects sellers being trapped as their selling efforts are absorbed by larger buyers.
Inference : A potential upward breakout is likely. Traders may look for opportunities to go long.
2.Bearish Absorption:
Characteristics : Price is making lower tops, but volume is making higher tops. This indicates buyers being trapped as larger sellers absorb their buying activity.
Inference : A downward breakout is probable. Traders may consider positioning to go short.
Chapter 4: Practical Application and Trading Strategies
4.1 Leveraging Active Order Insights
Learn how to use Volume Venturius Premium to detect hidden accumulation or distribution phases. Strategies include identifying spikes in active volume that signal institutional participation.
4.2 Confirming Bull and Bear Campaigns
Gain confidence in detecting the early stages of bullish or bearish campaigns by analyzing the interplay between active orders and volume flow.
Chapter 5: Real-World Examples
5.1 Analyzing Market Manipulation
See how Volume Venturius Premium can reveal manipulation tactics employed by large players to trigger liquidity events.
5.2 Spotting Trends with Active Orders
Real-life scenarios demonstrate how the tool can be used to identify and ride the market’s dominant trend.
Conclusion
The Volume Venturius Premium is an indispensable tool for traders who seek to understand the underlying mechanics of market movement. By focusing on active order flows and drawing on Wyckoff’s principles, it provides unique insights into market manipulation and expansion phases. Whether you’re an intraday trader or a long-term strategist, this tool empowers you to anticipate market shifts and trade with confidence.
Stay tuned for updates as we continue to refine Volume Venturius Premium to further enhance your trading journey.
Accumulation/DistributionAccumulation/Distribution explains when the big players buy or sell, according to Wyckoff.
I added some colors to make it more visibly, to get a hint when (not) to invest.
A/D is a lagging indicator.
When the MA is above A/D line, this should reflect distribution time, and big players are selling.
The oppsite is when MA is below the A/D line, then this should be an accumulation phase, and big players are buying.
For example, my preference is a TEMA20 for crypto, this gives me good results.
But I added a bunch of moving averages to choose from.
Depending on preferences/marked you can choose a moving average, set its length, and you can choose all the colors too.
I recommend the Volume indicator to setup the MA line, and this will get much better results!
I hope this script will help some people to do some better decisions.
And I am pleased to get some advice to make this script even better!
There is only one similar-sounding script in the public section.
Kudos go to jbneto with his Accum/ Dist + 200 EMA which gave me the inspiration.
It has a EMA200, and its focus is on the daily pivot price.
Head and Shoulders - Quasimodo etc Pattern Recognition RENKODisclaimer: Only use this pattern recognition on a RENKO chart. Renko charts plot different than traditional candles and therefore do not represent all price moves. There is a possibility of repainting while using ATR based renko charts so past results are not a 100% accurate representation of future results. Use this indicator as a part of your strategy and not as your only means of obtaining gains in the market.
Hello traders, it has been said time and time again that algorithmic software is unable to identify complex market structure like head and shoulders, quasimodo, triangle patterns and other methods humans use to base their trading decisions on. With this indicator I intend to completely crush that assumption and prove that it actualy is possible. Ofcourse an indicator is less likely to find all variation on a chart pattern and a human is probably still your best bet in finding these patterns early.
That is wy this indicator does not only use textbook patterns and has 7 variation on head and shoulders build into it. I will keep updating this indicator if I see it missed some crucial patterns. Right now it has a total of 38 patterns build into it with them being grouped under specific names. Feel free to turn off any pattern you do not like to see.
Renko patterns solve the problem of time and chaos in the markets which have been the biggest hurdle in pattern recognition software as the amount of variations to account for is just too great a number. With this script using renko it will soon be able to identify any pattern in the market and I plan to add Wyckoff to it in the future, right now I have a beta version of Wyckoff build into it but planning to add better version of it in the future. The amount of variations on Wyckoff is quite extreme so it will take a very long time to get an optimised Wyckoff identification system.
If you do not want to miss patterns I recommend to use a multi chart aproach so that you can find patterns in multiple renko brick sizes at the same time to find more entrys.
Feel free to comment any pattern you want me to add and let's make the most dedicated pattern recognition software on this platform.
Regards
HonestCowboy
Supply & Demand RTA-V1.0Supply & Demand Wyckoff RTA-V1.0 comes from RTA-Academy, author RTA-Ruomise, public indicators.
This indicator is the supporting indicator for the RTA course .
Indicator function
According to the principle of Wyckoff’s trading method, determine the effective supply and demand columns in the market and mark them on the chart.
This indicator is limited to the crypto market, and the underlying must have volume .
Recommended
Coinbase BTCUSD
Binanca BTCUSDT
BYBIT BTCUSD PREP
BITMEX XBTUSD
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Supply & Demand Wyckoff RTA-V1.0 来自RTA-Academy，作者RTA-Ruomise，公开指标。
Supply & Demand Wyckoff RTA-V1.0 中文名 威科夫供应与需求标志指标 RTA-V1.0。
该指标为RTA 课程【威科夫交易法】配套指标。
指标作用
根据威科夫交易法原理和作者交易经验，通过规则判断市场有效的供应柱与需求柱，并于图表中进行标注。辅助RTA学员快速分析供应与需求关系。
该指标仅限于数字货币市场使用，且标的要有有效的成交量。
推荐标的
Coinbase BTCUSD
Binanca BTCUSDT
BYBIT BTCUSD PREP
BITMEX XBTUSD
Price Wave V.1.0The Price Wave Indicator is very good add-on to the Volume wave which is an important tool in the Wyckoffian Analysis of the stocks. Along with the Volume wave it helps to understand the effort and result ratios and the consequent effect on the stocks. It has to be used in conjunction with the Volume wave and not useful on a standalone basis
Volume Wave V.1.0Volume wave Indicator is an important tool in the Wyckoffian Analysis of the stocks. It helps to understand the changing / continuation of bullish and bearish sentiment or the Buying and selling pressure. It also helps to understanding the waxing and waning buying and selling pressure and forewarns the changing sentiment. Along with the Price wave it helps to understand the effort and result ratios and the consequent effect on the stocks.
Big Whale Finder PROBig Whale Finder PRO
The Big Whale Finder PRO is an advanced technical indicator designed to detect and analyze the footprints of institutional traders (commonly referred to as "whales") in financial markets. Based on multiple proprietary detection algorithms, this indicator identifies distinct patterns of accumulation and distribution that typically occur when large market participants execute significant orders.
Theoretical Framework
The indicator builds upon established market microstructure theories and empirical research on institutional trading behavior. As Kyle (1985) demonstrated in his seminal work on market microstructure, informed traders with large positions tend to execute their orders strategically to minimize market impact. This often results in specific volume and price action patterns that the Big Whale Finder PRO is designed to detect.
Key Feature Enhancements
1. Volume Analysis Refinement
The indicator implements a dual-threshold approach to volume analysis based on research by Easley et al. (2012) on volume-based informed trading metrics. The normal threshold identifies routine institutional activity, while the extreme threshold flags exceptional events that often precede significant market moves.
2. Wickbody Ratio Analysis
Drawing from Cao et al. (2021) research on price formation and order flow imbalance, the indicator incorporates wick-to-body ratio analysis to detect potential order absorption and iceberg orders. High wick-to-body ratios often indicate hidden liquidity and resistance/support levels maintained by large players.
3. BWF-Index (Proprietary Metric)
The BWF-Index is a novel quantitative measure that combines volume anomalies, price stagnation, and candle morphology into a single metric. This approach draws from Harris's (2003) work on trading and exchanges, which suggests that institutional activity often manifests through multiple simultaneous market microstructure anomalies.
4. Zone Tracking System
Based on Wyckoff Accumulation/Distribution methodology and modern zone detection algorithms, the indicator establishes and tracks zones where institutional activity has occurred. This feature enables traders to identify potential support/resistance areas where large players have previously shown interest.
5. Trend Integration
Following Lo and MacKinlay's (1988) work on market efficiency and technical analysis, the indicator incorporates trend analysis through dual EMA comparison, providing context for volume and price patterns.
Labels and Signals Explanation
The indicator uses a system of labels to mark significant events on the chart:
🐋 (Whale Symbol): Indicates extreme volume activity that significantly exceeds normal market participation. This is often a sign of major institutional involvement and frequently precedes significant price moves. The presence of this label suggests heightened attention is warranted as a potential trend reversal or acceleration may be imminent.
A (Accumulation): Marks periods where large players are likely accumulating positions. This is characterized by high volume, minimal price movement upward, and stronger support at the lower end of the candle (larger lower wicks). Accumulation zones often form bases for future upward price movements. This pattern frequently occurs at the end of downtrends or during consolidation phases before uptrends.
D (Distribution): Identifies periods where large players are likely distributing (selling) their positions. This pattern shows high volume, minimal downward price movement, and stronger resistance at the upper end of the candle (larger upper wicks). Distribution zones often form tops before downward price movements. This pattern typically appears at the end of uptrends or during consolidation phases before downtrends.
ICE (Iceberg Order): Flags the potential presence of iceberg orders, where large orders are split into smaller visible portions to hide the true size. These are characterized by unusual wick-to-body ratios with high volume. Iceberg orders often indicate price levels that large institutions consider significant and may act as strong support or resistance areas.
Information Panel Interpretation
The information panel provides real-time analysis of market conditions:
Volume/Average Ratio: Shows how current volume compares to the historical average. Values above the threshold (default 1.5x) indicate abnormal activity that may signal institutional involvement.
BWF-Index: A proprietary metric that quantifies potential whale activity. Higher values (especially >10) indicate stronger likelihood of institutional participation. The BWF-Index combines volume anomalies, price action characteristics, and candle morphology to provide a single measure of potential whale activity.
Status: Displays the current market classification based on detected patterns:
"Major Whale Activity": Extreme volume detected, suggesting significant institutional involvement
"Accumulation": Potential buying activity by large players
"Distribution": Potential selling activity by large players
"High Volume": Above-average volume without clear accumulation/distribution patterns
"Normal": Regular market activity with no significant institutional footprints
Trend: Shows the current market trend based on EMA comparison:
"Uptrend": Fast EMA above Slow EMA, suggesting bullish momentum
"Downtrend": Fast EMA below Slow EMA, suggesting bearish momentum
"Sideways": EMAs very close together, suggesting consolidation
Zone: Indicates if the current price is in a previously identified institutional activity zone:
"In Buy Zone": Price is in an area where accumulation was previously detected
"In Sell Zone": Price is in an area where distribution was previously detected
"Neutral": Price is not in a previously identified institutional zone
Trading Recommendations
Based on the different signals and patterns, the following trading recommendations apply:
Bullish Scenarios
Accumulation (A) + Uptrend: Strong buy signal. Large players are accumulating in an established uptrend, suggesting potential continuation or acceleration.
Strategy: Consider entering long positions with stops below the accumulation zone.
Extreme Volume (🐋) + In Buy Zone + Price Above EMAs: Very bullish. Major whale activity in a previously established buying zone with positive price action.
Strategy: Aggressive buying opportunity with wider stops to accommodate volatility.
High BWF-Index (>10) + Accumulation + Downtrend Ending: Potential trend reversal signal. High institutional interest at the potential end of a downtrend.
Strategy: Early position building with tight risk management until trend confirmation.
Bearish Scenarios
Distribution (D) + Downtrend: Strong sell signal. Large players are distributing in an established downtrend, suggesting potential continuation or acceleration.
Strategy: Consider entering short positions with stops above the distribution zone.
Extreme Volume (🐋) + In Sell Zone + Price Below EMAs: Very bearish. Major whale activity in a previously established selling zone with negative price action.
Strategy: Aggressive shorting opportunity with wider stops to accommodate volatility.
High BWF-Index (>10) + Distribution + Uptrend Ending: Potential trend reversal signal. High institutional interest at the potential end of an uptrend.
Strategy: Early short position building with tight risk management until trend confirmation.
Neutral/Caution Scenarios
Iceberg Orders (ICE) + Sideways Market: Suggests significant hidden liquidity at current levels.
Strategy: Mark these levels as potential support/resistance for future reference. Consider range-trading strategies.
Conflicting Signals (e.g., Accumulation in Downtrend): Requires careful analysis.
Strategy: Wait for additional confirmation or reduce position sizing.
Multiple Extreme Volume Events (🐋) in Succession: Indicates unusual market conditions, possibly related to news events or major market shifts.
Strategy: Exercise extreme caution and potentially reduce exposure until clarity emerges.
Practical Applications
Short-Term Trading:
Use the indicator to identify institutional activity zones for potential intraday support/resistance levels
Watch for whale symbols (🐋) to anticipate potential volatility or trend changes
Combine with price action analysis for entry/exit timing
Swing Trading
Focus on accumulation/distribution patterns in conjunction with the prevailing trend
Use buy/sell zones as areas to establish or exit positions
Monitor the BWF-Index for increasing institutional interest over time
Position Trading
Track long-term whale activity to identify shifts in institutional positioning
Use multiple timeframe analysis to confirm major accumulation/distribution phases
Combine with fundamental analysis to validate potential long-term trend changes
References
Kyle, A. S. (1985). Continuous auctions and insider trading. Econometrica, 53(6), 1315-1335.
Easley, D., López de Prado, M. M., & O'Hara, M. (2012). Flow toxicity and liquidity in a high-frequency world. The Review of Financial Studies, 25(5), 1457-1493.
Cao, C., Hansch, O., & Wang, X. (2021). The information content of an open limit order book. Journal of Financial Markets, 50, 100561.
Harris, L. (2003). Trading and exchanges: Market microstructure for practitioners. Oxford University Press.
Lo, A. W., & MacKinlay, A. C. (1988). Stock market prices do not follow random walks: Evidence from a simple specification test. The Review of Financial Studies, 1(1), 41-66.
Wyckoff, R. D. (1931). The Richard D. Wyckoff method of trading and investing in stocks. Transaction Publishers.
Menkhoff, L., & Taylor, M. P. (2007). The obstinate passion of foreign exchange professionals: Technical analysis. Journal of Economic Literature, 45(4), 936-972.
RSI with Swing Trade by Kelvin_VAlgorithm Description: "RSI with Swing Trade by Kelvin_V"
1. Introduction:
This algorithm uses the RSI (Relative Strength Index) and optional Moving Averages (MA) to detect potential uptrends and downtrends in the market. The key feature of this script is that it visually changes the candle colors based on the market conditions, making it easier for users to identify potential trend swings or wave patterns.
The strategy offers flexibility by allowing users to enable or disable the MA condition. When the MA condition is enabled, the strategy will confirm trends using two moving averages. When disabled, the strategy will only use RSI to detect potential market swings.
2. Key Features of the Algorithm:
RSI (Relative Strength Index):
The RSI is used to identify potential market turning points based on overbought and oversold conditions.
When the RSI exceeds a predefined upper threshold (e.g., 60), it suggests a potential uptrend.
When the RSI drops below a lower threshold (e.g., 40), it suggests a potential downtrend.
Moving Averages (MA) - Optional:
Two Moving Averages (Short MA and Long MA) are used to confirm trends.
If the Short MA crosses above the Long MA, it indicates an uptrend.
If the Short MA crosses below the Long MA, it indicates a downtrend.
Users have the option to enable or disable this MA condition.
Visual Candle Coloring:
Green candles represent a potential uptrend, indicating a bullish move based on RSI (and MA if enabled).
Red candles represent a potential downtrend, indicating a bearish move based on RSI (and MA if enabled).
3. How the Algorithm Works:
RSI Levels:
The user can set RSI upper and lower bands to represent potential overbought and oversold levels. For example:
RSI > 60: Indicates a potential uptrend (bullish move).
RSI < 40: Indicates a potential downtrend (bearish move).
Optional MA Condition:
The algorithm also allows the user to apply the MA condition to further confirm the trend:
Short MA > Long MA: Confirms an uptrend, reinforcing a bullish signal.
Short MA < Long MA: Confirms a downtrend, reinforcing a bearish signal.
This condition can be disabled, allowing the user to focus solely on RSI signals if desired.
Swing Trade Logic:
Uptrend: If the RSI exceeds the upper threshold (e.g., 60) and (optionally) the Short MA is above the Long MA, the candles will turn green to signal a potential uptrend.
Downtrend: If the RSI falls below the lower threshold (e.g., 40) and (optionally) the Short MA is below the Long MA, the candles will turn red to signal a potential downtrend.
Visual Representation:
The candle colors change dynamically based on the RSI values and moving average conditions, making it easier for traders to visually identify potential trend swings or wave patterns without relying on complex chart analysis.
4. User Customization:
The algorithm provides multiple customization options:
RSI Length: Users can adjust the period for RSI calculation (default is 4).
RSI Upper Band (Potential Uptrend): Users can customize the upper RSI level (default is 60) to indicate a potential bullish move.
RSI Lower Band (Potential Downtrend): Users can customize the lower RSI level (default is 40) to indicate a potential bearish move.
MA Type: Users can choose between SMA (Simple Moving Average) and EMA (Exponential Moving Average) for moving average calculations.
Enable/Disable MA Condition: Users can toggle the MA condition on or off, depending on whether they want to add moving averages to the trend confirmation process.
5. Benefits of the Algorithm:
Easy Identification of Trends: By changing candle colors based on RSI and MA conditions, the algorithm makes it easy for users to visually detect potential trend reversals and trend swings.
Flexible Conditions: The user has full control over the RSI and MA settings, allowing them to adapt the strategy to different market conditions and timeframes.
Clear Visualization: With the candle color changes, users can quickly recognize when a potential uptrend or downtrend is forming, enabling faster decision-making in their trading.
6. Example Usage:
Day traders: Can apply this strategy on short timeframes such as 5 minutes or 15 minutes to detect quick trends or reversals.
Swing traders: Can use this strategy on longer timeframes like 1 hour or 4 hours to identify and follow larger market swings.
RedK EVEREX - Effort Versus Results ExplorerRedK EVEREX is an experimental indicator that explores "Volume Price Analysis" basic concepts and Wyckoff law "Effort versus Result" - by inspecting the relative volume (effort) and the associated (relative) price action (result) for each bar - showing the analysis as an easy to read "stacked bands" visual. From that analysis, we calculate a "Relative Rate of Flow" - an easy to use +100/-100 oscilator that can be used to trigger a signal when a bullish or bearish mode is detected for a certain user-selected length of bars.
Basic Concepts of VPA
-------------------------------
(The topics of VPA & Wyckoff Effort vs Results law are too comprehensive to cover here - So here's just a very basic summary - please review these topics in detail in various sources available here in TradingView or on the web)
* Volume Price Analysis (VPA) is the examination of the number of shares or contracts of a security that have been traded in a given period, and the associated price movement. By analyzing trends in volume in conjunction with price movements, traders can determine the significance of changes in price and what may unfold in the near future.
* Oftentimes, high volumes of trading can infer a lot about investors’ outlook on a market or security. A significant price increase along with a significant volume increase, for example, could be a credible sign of a continued bullish trend or a bullish reversal. Adversely, a significant price decrease with a significant volume increase can point to a continued bearish trend or a bearish trend reversal.
* Incorporating volume into a trading decision can help an investor to have a more balanced view of all the broad market factors that could be influencing a security’s price, which helps an investor to make a more informed decision.
* Wyckoff's law "Effort versus results" dictates that large effort is expected to be accompanied with big results - which means that we should expect to see a big price move (result) associated with a large relative volume (effort) for a certain trading period (bar).
* The way traders use this concept in chart analysis is to mainly look for imbalances or invalidation. for example, when we observe a large relative volume that is associated with very limited price change - that should trigger an early flag/warning sign that the current price trend is facing challenges and may be an early sign of "reversal" - this applies in both bearish and bullish conditions. on the other hand, when price starts to trend in a certain direction and that's associated with increasing volume, that can act as kind of validation, or a confirmation that the market supports that move.
How does EVEREX work
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* EVEREX inspects each bar and calculates a relative value for volume (effort) and "strength of price movement" (result) compared to a specified lookback period. The results are then visualized as stacked bands - the lower band represents the relative volume, the upper band represents the relative price strength - with clear color coding for easier analysis.
* The scale of the band is initially set to 100 (each band can occupy up to 50) - and that can be changed in the settings to 200 or 400 - mainly to allow a "zoom in" on the bands.
* Reading the resulting stacked bands makes it easier to see "balanced" volume/price action (where both bands are either equally strong, or equally weak), or when there's imbalance between volume and price (for example, a compression bar will show with high volume band and very small/tiny price action band) - another favorite pattern in VPA is the "Ease of Move", which will show as a relatively small volume band associated with a large "price action band" (either bullish or bearish) .. and so on.
* a bit of a techie piece: why the use of a custom "Normalize()" function to calculate "relative" values in EVEREX?
When we evaluate a certain value against an average (for example, volume) we need a mechanism to deal with "super high" values that largely exceed that average - I also needed a mechanism that mimics how a trader looks at a volume bar and decides that this volume value is super low, low, average, above average, high or super high -- the issue with using a stoch() function, which is the usual technique for comparing a data point against a lookback average, is that this function will produce a "zero" for low values, and cause a large distortion of the next few "ratios" when super large values occur in the data series - i researched multiple techniques here and decided to use the custom Normalize() function - and what i found is, as long as we're applying the same formula consistently to the data series, since it's all relative to itself, we can confidently use the result. Please feel free to play around with this part further if you like - the code is commented for those who would like to research this further.
* Overall, the hope is to make the bar-by-bar analysis easier and faster for traders who apply VPA concepts in their trading
What is RROF?
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* Once we have the values of relative volume and relative price strength, it's easy from there to combine these values into a moving index that can be used to track overall strength and detect reversals in market direction - if you think about it this a very similar concept to a volume-weighted RSI. I call that index the "Relative Rate of Flow" - or RROF (cause we're not using the direct volume and price values in the calculation, but rather relative values that we calculated with the proprietary "Normalize" function in the script.
* You can show RROF as a single or double-period - and you can customize it in terms of smoothing, and signal line - and also utilize the basic alerts to get notified when a change in strength from one side to the other (bullish vs bearish) is detected
* In the chart above, you can see how the RROF was able to detect change in market condition from Bearsh to Bullish - then from Bullish to Bearish for TSLA with good accuracy.
Other Usage Options in EVEREX
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* I wrote EVEREX with a lot of flexibility and utilization in mind, while focusing on a clean and easy to use visual - EVEREX should work with any time frame and any instrument - in instruments with no volume data, only price data will be used.
* You can completely hide the "EVEREX bands" and use EVEREX as a single or dual period strength indicator (by exposing the Bias/Sentiment plot which is hidden by default) -
here's how this setup would look like - in this mode, you will basically be using EVEREX the same way you're using a volume-weighted RSI
* or you can hide the bias/sentiment, and expose the Bulls & Bears plots (using the indicator's "Style" tab), and trade it like a Bull/Bear Pressure Index like this
* you can choose Moving Average type for most plot elements in EVEREX, including how to deal with the Lookback averaging
* you can set EVEREX to a different time frame than the chart
* did i mention basic alerts in this v1.0 ?? There's room to add more VPA-specific alerts in future version (for example, when Ease-of-Move or Compression bars are detected...etc) - let me know if the comments what you want to see
Final Thoughts
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* EVEREX can be used for bar-by-bar VPA analysis - There are so much literature out there about VPA and it's highly recommended that traders read more about what VPA is and how it works - as it adds an interesting (and critical) dimension to technical analysis and will improve decision making
* RROF is a "strength indicator" - it does not track price values (levels) or momentum - as you will see when you use it, the price can be moving up, while the RROF signal line starts moving down, reflecting decreasing strength (or otherwise, increasing bear strength) - So if you incorporate EVEREX in your trading you will need to use it alongside other momentum and price value indicators (like MACD, MA's, Trend Channels, Support & Resistance Lines, Fib / Donchian..etc) - to use for trade confirmation
MTF Phoenix TableThis is a MTF heatmap companion for the Phoenix Ascending indicator by WyckoffMode. It aims to make MTF analysis easier at a quick glance.
The row headings are color coordinated for easy visual recognition.
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