Volume Tick ExperimentThis ticks-based indicator provides real-time volume information for a trading asset. Volume is analyzed and updated continuously, not just at candle close. It is based on DGT's Bull vs Bear Power indicator but adds a gas signal that activates when buying or selling volume percentage reaches a predetermined threshold.
This indicator can also help traders determine the direction and aggressiveness of pushes in buying or selling volume. By monitoring the volume percentages and gas signals, traders can get an idea of whether the market is pushing in a particular direction and how strong the push is. This information can be helpful in making trading decisions and identifying potential entry or exit points.
The indicator uses open, high, low, and close prices of the asset to calculate volume information. It determines the average volume over a selected period and calculates volume for both buying and selling. This information is used to calculate the percentage of buying and selling volume. A gas signal is triggered when either the buying or selling percentage reaches a predetermined threshold.
Enjoy!
Объем
Volume Channel - [With Volume Filter]The indicator calculates two volume-weighted moving averages (VWMA) using different lengths, and filters them based on a moving average of volume. The filtered VWMA values are then plotted on the chart as lines, representing the fast and slow moving averages. In addition, upper and lower bands are calculated based on the slow VWMA and plotted as lines on the chart.
The fast and slow VWMA lines can be used to identify trends in the market. When the fast VWMA is above the slow VWMA, it is an indication of an uptrend, and when the fast VWMA is below the slow VWMA, it is an indication of a downtrend. The position of the VWMA lines relative to the upper and lower bands can also be used to identify potential trade signals.
When the price is near the upper band, it indicates that the market is overbought, and when the price is near the lower band, it indicates that the market is oversold. Traders can use these signals to enter or exit trades.
The indicator also includes a volume filter, which means that the VWMA values are only calculated when the volume is above a certain moving average of volume. This helps to filter out noise in the market and provide more accurate signals.
Explanation for each parameter
vwmaLength1: This is the length of the fast volume-weighted moving average (VWMA) used in the calculation. The default value is 10, and it can be adjusted by the user.
vwmaLength2: This is the length of the slow volume-weighted moving average (VWMA) used in the calculation. The default value is 25, and it can be adjusted by the user.
bandLength: This is the length of the moving average used to calculate the upper and lower bands. The default value is 34, and it is not adjustable by the user.
volumeFilterLength: This is the length of the moving average of volume used as a filter for the VWMA calculation. The default value is 5, and it can be adjusted by the user.
src: This is the input source for the VWMA calculation. The default value is close, which means the indicator is using the closing price of each bar. However, the user can select a different input source by changing this parameter.
filteredVwma1: This is the filtered VWMA calculated based on the volume filter and the fast VWMA length. It is plotted as a line on the chart and can be used to identify short-term trends.
filteredVwma2: This is the filtered VWMA calculated based on the volume filter and the slow VWMA length. It is plotted as a line on the chart and can be used to identify long-term trends.
ma: This is the moving average of the filtered slow VWMA values, which is used to calculate the upper and lower bands. It is plotted as a line on the chart.
offs: This is the offset used to calculate the upper and lower bands. It is based on the standard deviation of the filtered slow VWMA values and is multiplied by 1.6185 * 3. It is plotted as a line on the chart.
up: This is the upper band calculated as the moving average plus the offset. It is plotted as a line on the chart and can be used to identify overbought conditions.
dn: This is the lower band calculated as the moving average minus the offset. It is plotted as a line on the chart and can be used to identify oversold conditions.
Z-Score(Slope(OBV(LBC)))Summary : Market price is simply a dance of liquidity to the specific market.
tl;dr: "Cash come-in, market moon; Cash go-out, market doom"
In Simple Language : Large changes in the money flow to an asset often mark local price extremia.
Academic paper:
Title: Z-Score(Slope(OBV)): An Efficient Indicator for Identifying Local Extremes in Asset Prices
Abstract: This paper presents a novel trading indicator, Z-Score(Slope(OBV)), that aims to predict local extremes in asset prices by analyzing the patterns of money flow. The indicator is constructed using the Z-score of the slope of the On Balance Volume (OBV).
Hypothesis: The price levels at which the money flows into and out of an asset often mark local extremes. This notion underpins our exploration of the Z-Score(Slope(OBV)) indicator's potential in identifying these critical points.
1. On Balance Volume (OBV): The OBV is a momentum indicator that leverages the volume flow to forecast potential changes in asset prices. It operates on the premise that changes in volume often presage shifts in price. The OBV algorithm adds a period's volume to the cumulative total when the closing price is up and subtracts it when the closing price is down. Therefore, an ascending OBV suggests positive volume pressure, potentially heralding higher prices, while a declining OBV signifies negative volume pressure, possibly indicating lower prices.
2. Slope: In this context, the slope represents the rate of change of the OBV. It is a measure of the rise-over-run for a linear regression line through the OBV data points. By evaluating the slope of the OBV, we can extract valuable insights into the momentum of the volume. A positive slope indicates increasing volume momentum, suggesting growing interest in the asset, while a negative slope implies declining volume momentum, potentially reflecting dwindling interest.
3. Z-Score: The Z-score is a statistical measure that delineates a data point's relationship to the mean of a group of values, expressed in terms of standard deviations from the mean. For instance, a Z-score of 0 reveals that the data point's score aligns with the mean score. Positive Z-scores indicate values higher than the mean, and negative Z-scores represent values lower than the mean. Applying the Z-score to the slope of the OBV allows us to comprehend the degree of deviation of the current OBV slope from its historical mean.
A Z-score of 1 suggests that the OBV's slope is one standard deviation from the mean, which implies that the slope is within the range of values where approximately 68% (not 67%) of all values lie.
A Z-score of 2 implies that the slope is two standard deviations from the mean, thus within the range where roughly 95% of all values lie.
A Z-score of 3 indicates that the slope is three standard deviations from the mean, putting it within the range where about 99.7% of all values lie.
Z-scores of 4 and 5 and beyond are increasingly rare and represent extreme values.
4. The Z-Score(Slope(OBV)) Indicator and Line Break Chart Synergy: The Z-Score(Slope(OBV)) indicator's efficiency is further amplified when visualized using a Line Break chart. This chart type disregards time, concentrating solely on price changes, thus providing a clear visualization of market trends. When combined with the Line Break chart, the Z-Score(Slope(OBV(LBC))) indicator can help traders identify trend shifts more accurately and promptly, reinforcing the hypothesis that price levels where money flows into and out of an asset often mark local extremes.
In summary, the Z-Score(Slope(OBV)) indicator, combining volume, momentum, and statistical analysis, provides a robust tool for traders to predict local extremes in asset prices.
Regarding Implementation:
- This is implemented using Pinescript V5
- Uses inbuilt ta module
- Very effective and simple and efficient computation in 30 lines of code
EquiVolume [LuxAlgo]EquiVolume is a charting method that aims to incorporate volume information to a candlestick chart. Volume is highlighted through the candle body width, with wider candles suggesting more significant volume.
Our script shows an EquiVolume chart for the visible chart range. Additionally regular volume can be plotted as a column plot with the column's width controlled by volume.
🔶 SETTINGS
🔹 Options
Chart: Shows candles with volume adjusted width.
Volume: Shows volume with volume adjusted width.
🔹 Intrabar Analysis
Enable/disable: When LTF is enabled, the script will calculate the % volume/candles in the same direction than current timeframe.
You can choose a LTF between 1 and 240 minutes.
Type %:
- Volume: sum of volume of all LTF candles, which are in the same direction.
- #bars: sum of all LTF candles, which are in the same direction.
🔹 Width Boxes (bars)
Minimum width: sets the minimum width of a box (candle/volume)
Maximum width: sets the maximum width of a box (candle/volume)
🔶 USAGE
This charting method makes it easier to spot large volume candles, against comparing candles to volume.
Another example:
Additionally, users can make the script perform an intrabar analysis on the chart candles, allowing to highlight bullish/bearish activity within a candle. The script can estimate bullish/bearish trading activity within a candle or simply use intrabar candle signs.
Example
- 15-minute candle is green
- 10 1-minute candles (LTF) IN that 15-minute candle are green -> 10/15 = 66,667%
-> The current 15-minute candle will be 66,667% filled with green color.
Note that the script will draw everything from last visible bar at the right to left, as such you can scroll backwards, and the script will show you the data of the visible chart.
Scrolling back will return the following result:
🔶 REMARKS
When the LTF is too far apart from current timeframe, you should get an error. To prevent this, the LTF will automatically rise, giving no error.
When this happens, the adjusted LTF will be displayed. Do note, due to a maximum available LTF data, sometimes boxes won't always be visible (since there is no LTF data anymore)
To solve this, just elevate your LTF:
When the set LTF is higher than current TF, you would normally get an error as well.
This script will automatically adjust the LTF to current TF, together with a visible warning (no error though).
Due to the inability to draw a line in the space between bars, sometimes a wick won't be placed exactly in the middle.
Vector Candle Zones/Cloud MTF X4Description:
This indicator employs Price, Volume, Support, Resistance Analysis (PVSRA), a trading strategy that analyzes price movements, volume, support, and resistance levels to identify potential trading opportunities. It detects large, volatile moves with significant activity in specific zones on the chart, which the market tends to revisit due to the high transaction volume in these areas. The primary purpose of this indicator is to draw these high probability areas where the market is likely to return.
The PVSRA algorithm used in this indicator:
Detects climactic situations: The algorithm identifies climactic situations by looking at bars where the volume is at least 200% of the average volume of the previous 10 bars. Additionally, it checks if the product of the candle spread, and candle volume is greater than or equal to the highest value for the previous 10 bars. In these situations, if the bar is bullish (closing price is higher than the opening price), it is colored green; if it's bearish (closing price is lower than the opening price), it is colored red.
Detects above-average volume situations: The algorithm looks for bars with a volume that is at least 150% of the average volume of the previous 10 bars. In these cases, if the bar is bullish, it is colored blue; if it's bearish, it is colored violet.
If the bar does not fall into climactic and above-average situations: The bar is colored with shades of gray depending on whether it's bullish or bearish, and is not considered a vector (aka. vector zone of interest).
The algorithm calculations can adapt to show the above information also from higher time-frames.
Using the indicator:
Utilize this indicator to trade towards and away from vector areas, and watch for reversals when these zones are recovered. While there are no certainties in trading, only probabilities, the vector candles on the chart represent high probability areas the market often revisits. Additionally, zones recovered between 50% - 100% signal high probability points where the market might change direction. The likelihood of market direction change increases as more vectors are recovered in succession. Although there is no set rule for when these vectors are recovered, monitoring candle colors (green, blue, red, purple) can help gauge the speed of a move to and from a zone. To use this indicator more effectively, establish a trend using other preferred indicators or even a simple EMA. Spend time studying how these zones are recovered for each specific asset.
Main Features:
High volume candles are detected and marked with colors, indicating high probability areas the market may revisit.
The indicator shows the percentage of a zone's recovery with labels for clear visibility.
If ghosting is enabled, fully recovered past candles (also called vectors) are highlighted to signal potential reversal points.
Imbalance Weighted Average (IWA) can be activated to display the point of attraction (mid/high/low) on high interest zones.
Fair Value Gaps can be displayed alongside PVSRA candles, as both represent imbalances in the chart.
The indicator supports showing 3x-4x higher timeframe PVSRA zones on a lower timeframe for convenience.
Bar composition in 1minute | True candlestick colorThe indicator shows the true color of a bar based on the internal composition on 1 minute timeframe and the final outcome. It uses following parameters of 1minute and current timeframe inputs
relative bar close, average volume vs current volume and finally the volume of internal candles.
It follows following steps:
First, it defines the arrays of high, low, close, volume in one minute timeframe
Second, it identifies the negative and positive volume based on the bar closing at one minute timeframe
Third , it adds all the volume and find whether the overall volume is positive or negative for overall bar in higher timeframe (current timeframe)
Fourth, it compare the volume in current timeframe to average of volume in in current timeframe
Fifth, if relative closing, relative volume (current timeframe) and the combined volume (in 1 minute timeframe) gives same outcome then color of the bar is decided whether the bar is bullish, bearish or inconclusive/contnuation.
Through this you get to check price action in 1minute timeframe and the ultimate outcome in current timeframe. this helps in understanding whether the bar is truly bullish or bearish or continuation of the trend
Feel free to connect for any query.
PM RTH AH VWAPs [vnhilton]FOR STOCKS ONLY.
Simply 3 different VWAPs for the pre-market, regular trading session, and the after hours, using session.is_ variables (not sure if they were recently added. Regardless, it would be nice to have a session.isfirstbar_postmarket variable to avoid having to write the code for calculating VWAP instead of simply using a ta.vwap function). Treats all 3 sections of the day as separate sessions with their own characteristics i.e. differing levels of liquidity and market dynamics. I would argue this is better than just using a VWAP calculated from the pre-market open until after hours close, as it would make using the VWAPs as a benchmark more accurate when taking trades at these different periods of the day.
Adjusted OBV with Cross & DivergenceOBV is a technical indicator used to observe changes in volume. Traditional OBV calculate all historical volume, it makes the OBV being usually higher than 0.
What I think of this is that calculating volume for a period of time is more useful than all historical volume.
So I made some adjustments to the OBV Period, only calculating the volume from the past 120 days.
Why It's 120 days?
Because I backtested COINBASE:BTCUSDT, it has better performance.
In addition, I also set up MA12 and MA30, which is the MA OF OBV. What it does is to provide entry signal for trading.
This is what you can use this indicator(see Chart):
1. OBV Divergence(Top divergence = bearish, Bottom divergence = bullish)
2. Observe the OBV is in Uptrend or Downtrend(Uptrend = bullish, Downtrend = bearish)
3. The crossing of two MA12 and MA30 can be used as an entry signal(Golden cross = bullish, Death Cross = bearish)
4. Use Deduction ball to see OBV goes up or down in the next few candles
How to know if OBV has Divergence?
Price Higher + Lower OBV = Top divergence
Price Lower + Higher OBV = Bottom divergence
How to see if OBV is in Uptrend or Downtrend?
If OBV is above MA12/MA30, it's in uptrend, if OBV is below MA12/MA30, it's downtrend.(See chart)
What is Deduction ball?
It's used to compare to the volume 120 days ago, this can help to see if OBV goes up or down in the next few candle.
Why use MA12/MA30 with 120 days volume?
Because I backtested COINBASE: BTCUSDT, and found that it has higher winning rate.
中文說明（Chinese Explanation）：
OBV是用來觀察成交量變化的技術指標。 傳統的OBV計算所有的歷史成交量，使得OBV經常為正。
我的想法是，計算一段時間的交易量比所有歷史交易量更有用。
所以我對 OBV 時間長短做了一些調整，只計算過去 120 天的交易量。
為什麼是120天？
因為我回測了COINBASE:BTCUSDT，它的性能更好。
另外，我還設置了MA12和MA30，也就是OBV的簡單移動平均。 它的作用是為交易提供入場信號。
這是您可以使用該指標的內容（見圖表）：
1. OBV背離（頂部背離=看跌，底部背離=看漲）
2.觀察OBV處於上升趨勢還是下降趨勢（上升趨勢=看漲，下降趨勢=看跌）
3.兩條MA12和MA30的交叉可以作為入場信號（黃金交叉=看漲，死亡交叉=看跌）
4. 使用抵扣球查看 OBV 在接下來的幾根蠟燭中會上升還是下降
如何知道OBV是否有背離？
價格更高 + 更低的 OBV = 頂部背離
價格更低 + 更高 OBV = 底部背離
如何查看 OBV 處於上升趨勢還是下降趨勢？
如果 OBV 高於 MA12/MA30，則處於上升趨勢，如果 OBV 低於 MA12/MA30，則處於下降趨勢。（見圖表）
什麼是抵扣球？
它用於與 120 天前的成交量進行比較，這有助於查看 OBV 在接下來的幾根蠟燭中是上漲還是下跌。
為什麼使用MA12/MA30 與120長度的成交量？
因為我回測了COINBASE: BTCUSDT，發現它的勝率更高。
Open Interest All ExchangesThe indicator collects data from available exchanges based on open interest. The indicators are calculated in the amount of Bitcoin.
Below are the tickers of the exchanges that provide the data:
- BITFINEX:BTCUSD
- BITFINEX:BTCUST
- KRAKEN:BTCUSDPERP
- BITMEX:XBTUSD
- BITMEX:XBTUSDT
- BINANCE:BTCUSDTPERP
- BINANCE:BTCUSDPERP (due to low volumes and limitations of 40 requests of the request.security function, the code contains data without using the calculation)
For me, Open Interest indicators play an important role in the trading system, for this reason I share with you. I am not a financial advisor.
**Open for cooperation**
Absolute Momentum IntensityNo lag, no boundaries, real momentum indicator.
Momentum = mass × velocity
In trading, this would be: volume × candle size. But due to the huge differences in volumes and volatility in the market, strong momentum crushes (flattens) average momentum, making it unpractical in an indicator. AMI provides a usable and adjustable workaround to this problem.
HOW DOES AMI WORK?
AMI measures and plots the momentum of each candle individually, with a formula I invented (or so I believe).
Formula: (Actual volume / Moving average of the volumes) × (Actual size of the candle / Moving average of the size of the candles)
Put simply, it multiplies the ratio between actual and past volumes, by the ratio between actual and past candles' sizes.
The length of the moving averages used in AMI's calculation is called "Contrast" in the settings.
A contrast of 20 shows every single impulse.
100 flattens small moves, thus revealing when the momentum is at its strongest.
Feel free to adjust the contrast of AMI to fit your needs.
The result is plotted starting from the last point. So the angle of each segment expresses the momentum of the corresponding candle.
Note: AMI will not run without enough candles or volume datas, on higher timeframes for example (W,M...).
HOW TO READ AMI?
AMI's line color, angle, and backgrounds help identify the current momentum as bullish, bearish, weak, or strong.
When AMI crosses the closest ribbon's line (which is in gray by default), its color changes, signaling a shift in momentum.
When the 3 ribbons are fully deployed, separated by large backgrounds, the momentum can be considered strong. This is what we are looking for.
When the momentum decreases, the background color changes (gray by default). It can be nothing, or it can be an early sign of consolitation or even reversal, especially if more do follow.
AMI adjusts to the size of its pane. Therefore, it is a good idea to keep a period of strong momentum in the screen, as a scale.
Comparing the actual momentum with the past ones sheds some light on the intensity of the price action.
DIVERGENCES
Divergences are relevant as long as there's amplitude in the chart. But it is still hard to estimate how far the expected move will go.
AMI comes with a divergence detection system. It won't show all the divergences though. Just the ones it can pick. So you might look for more, and adjust the settings to your needs.
This part of the script is independant from AMI, and easy to identify, so you can delete it if you don't need it.
DO NOT BASE YOUR TRADING DECISIONS ON 1 SINGLE INDICATOR'S SIGNALS.
Always confirm your ideas by other means, like price action and indicators of a different nature.
Volume Shaded CandlesDescription:
The Volume Shaded Candles indicator (VSC) is a technical analysis tool designed to represent price candles on a chart with transparency based on the volume traded during each candle. This overlay indicator enhances visual analysis by providing a visual representation of volume intensity.
How it Works:
The VSC indicator calculates the volume-to-transparency ratio by dividing the current volume by the highest volume within the last 10 periods. The ratio is then used to determine the shading intensity of the price candles. Higher volume relative to the recent highest volume results in lower transparency, while lower volume results in higher transparency.
Usage:
To effectively utilize the Volume Shaded Candles indicator, follow these steps:
1. Apply the Volume Shaded Candles indicator to your chart by adding it from the available indicators.
2. Configure the indicator's inputs:
- Specify the color for bullish candles using the "Bullish Color" input.
- Specify the color for bearish candles using the "Bearish Color" input.
3. Observe the shaded candles on the chart:
- Bullish candles are colored with the specified bullish color and shaded according to the volume intensity.
- Bearish candles are colored with the specified bearish color and shaded according to the volume intensity.
4. Interpret the shaded candles:
- Darker shading indicates higher volume during the corresponding candle.
- Lighter shading indicates lower volume during the corresponding candle.
5. Combine the analysis of shaded candles with other technical analysis tools, such as trend lines, support and resistance levels, or candlestick patterns, to identify potential trade setups.
6. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.
Awesome Cumulative Volume OscillatorThe indicator is called the "Awesome Cumulative Volume Oscillator" (ACVO), which analyzes the cumulative trading volume of the underlying asset.
The indicator also plots the deviation of the cumulative trading volume from the first SMA value, which is referred to as the "Cumulative Volume Deviation". The zero-line is plotted as a reference point.
If the "Cumulative Volume Deviation" is greater than 0, it indicates an uptrend, as the cumulative trading volume is above the first SMA value. If the "Cumulative Volume Deviation" is less than 0, it indicates a downtrend, as the cumulative trading volume is below the first SMA value.
However, it is important to note that using a single indicator is not sufficient to conduct a comprehensive market analysis. It is necessary to combine multiple indicators and analysis methods to make informed trading decisions.
Slight Swing Momentum Strategy.Introduction:
The Swing Momentum Strategy is a quantitative trading strategy designed to capture mid-term opportunities in the financial markets by combining swing trading principles with momentum indicators. It utilizes a combination of technical indicators, including moving averages, crossover signals, and volume analysis, to generate buy and sell signals. The strategy aims to identify market trends and capitalize on price momentum for profit generation.
Highlights:
The strategy offers several key highlights that make it unique and potentially attractive to traders:
Swing Trading with Momentum: The strategy combines the principles of swing trading, which aim to capture short-to-medium-term price swings, with momentum indicators that help identify strong price trends and potential breakout opportunities.
Technical Indicator Optimization: The strategy utilizes a selection of optimized technical indicators, including moving averages and crossover signals, to filter out the noise and focus on high-probability trading setups. This optimization enhances the strategy's ability to identify favourable entry and exit points.
Risk Management: The strategy incorporates risk management techniques, such as position sizing based on equity and dynamic stop loss levels, to manage risk exposure and protect capital. This helps to minimize drawdowns and preserve profits.
Buy Condition:
The buy condition in the strategy is determined by a combination of factors, including A1, A2, A3, XG, and weeklySlope. Let's break it down:
A1 Condition: The A1 condition checks for specific price relationships. It verifies that the ratio of the highest price to the closing price is less than 1.03, the ratio of the opening price to the lowest price is less than 1.03, and the ratio of the highest price to the previous day's closing price is greater than 1.06. This condition looks for a specific pattern indicating potential bullish momentum.
A2 Condition: The A2 condition checks for price relationships related to the closing price. It verifies that the ratio of the closing price to the opening price is greater than 1.05 or that the ratio of the closing price to the previous day's closing price is greater than 1.05. This condition looks for signs of upward price movement and momentum.
A3 Condition: The A3 condition focuses on volume. It checks if the current volume crosses above the highest volume over the last 60 periods. This condition aims to identify increased buying interest and potentially confirms the strength of the potential upward price movement.
XG Condition: The XG condition combines the A1 and A2 conditions and checks if they are true for both the current and previous bars. It also verifies that the ratio of the closing price to the 5-period EMA crosses above the 9-period SMA of the same ratio. This condition helps identify potential buy signals when multiple factors align, indicating a strong bullish momentum and potential entry point.
Weekly Trend Factor: The weekly slope condition calculates the slope of the 50-period SMA over a weekly timeframe. It checks if the slope is positive, indicating an overall upward trend on a weekly basis. This condition provides additional confirmation that the stock is in an upward trend.
When all of these conditions align, the buy condition is triggered, indicating a favourable time to enter a long position.
Sell Condition:
The sell condition is relatively straightforward in the strategy:
Sell Signal: The sell condition simply checks if the closing price crosses below the 10-period EMA. When this condition is met, it indicates a potential reversal or weakening of the upward price momentum, and a sell signal is generated.
Backtest Outcome:
The strategy was backtested over the period from January 22nd, 1999 to May 3rd, 2023, using daily candlestick charts for the NASDAQ: NVDA. The strategy used an initial capital of 1,000,000 USD, The order quantity is defined as 10% of the equity. The strategy allows for pyramiding with 1 order, and the transaction fee is set at 0.03% per trade. Here are the key outcomes of the backtest:
Net Profit: 539,595.84 USD, representing a return of 53.96%.
Percent Profitable: 48.82%
Total Closed Trades: 127
Profit Factor: 2.331
Max Drawdown: 68,422.70 USD
Average Trade: 4,248.79 USD
Average Number of Bars in Trades: 11, indicating the average duration of the trades.
Conclusion:
In conclusion, the Swing Momentum Strategy is a quantitative trading approach that combines swing trading principles with momentum indicators to identify and capture mid term trading opportunities. The strategy has demonstrated promising results during backtesting, including a significant net profit and a favourable profit factor.
TrendDECODER by MetaSignalsProTrendDECODER
The fastest indicator to detect trends and price ranges
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✔️ Identify ranges and the next probable direction
✔️ Get the earliest signals and the strength of Trends
✔️ Get clear exits signals before reversal
✔️ Spot the Fibo levels the price will test
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📌 What is it about ?
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TrendDECODER is a concentrate of multiple innovations to make Trend following simple and easy.
Please see in the 🛠️ Calculation & Precisions section at the end of this page to know more how they work.
👉 With the GreyBox - identify when the market gets out of the Trend with a new sequence of transition. Check if the market is in Range, Continuation or Reversal (Up or Down) and wait for the closing of the box to get the Trend signal.
👉 With the DecoderSignals & Blue/Orange Clouds - once the GreyBox has delivered its message, get the new direction of the Trend and see the probable zones of pull backs during the current direction.
👉 With the Projective TrendLine - see before it happens the direction and the possible angle of the Trend with its probable range.
👉 With the RealTime TrendLine vs the Projective TrendLine - adjust immediately if the market accelerates North or South.
👉 With the RealTime TrendLine Crossing - detect at the earliest the moment the Trend gets out of track, to get out of the train.
👉 With the FiboLevels - spot immediately which price levels the market will test.
📌 For which asset?
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TrendDECODER is universal : it works fine on all assets and all time-frames;
☝️ always work on a multi-timeframe environment to minimize risk;
📌Why we made these innovations?
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Because the trend indicators that we know, lag a lot and do not clearly identify ranges!
We need much more powerful tools than Supertrend or a couple of moving averages crossings to get this done.
📌 How to trade with TrendDECODER?
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🔹 Strategy #1: Trend Following : DecoderSignals & Blue/Orange Clouds
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The GreyBOX has given the next probable movement and the Signal of a Trend in on.
The RealTime TrendLine guides us on the pace of this movement and the Blue/ Orange/Cloud figures the support/resistance of this movement.
It will be wise not to jump immediately in the Trend as the signal appears as the price will very probably make a pullback in direction of the cloud first.
🔹 Strategy #1: Checklist
📍 Set a Multi Time Frame environment
📍 Main Time Frame and the Upper Time Frame are moving in the same direction (Up or Down)
📍 Main Time Frame: appearance of the « TrendUp Signal » or the « TrendDown Signal »
📍 Entry:
☝️ buying « at Market » immediately on a « Trend Signal » is quite risky as many times the price will pull back near the Clouds
👉 a good option is to buy 1/2 the position at market on signal
👉 and 1/2 after the first pull back
📍 First Stop Loss: place your SL under the lower border of the GreyBox for an expected TrendUp or the higher border for an expected TrendDown
📍 BreakEven: when the price reaches your Risk/Reward ratio of 1 = Distance StopLoss vs Entry = Distance Current Price vs Entry
📍 Trailing Stop: just under the lowest border of the Blue Cloud (TrendUp) or the highest border of the Orange Cloud (TrendDown)
📍 TakeProfits: in a TrendUP, place your take profits just under the FibosLevels in order not to get exited (and above in a TrendDOWN)
📍 Exits:
👉 Early option : Crossing of the RealTime TrendLine
👉 Late option : Crossing of the Blue/Orange cloud
🔹 Strategy #2: Early Trend following : RealTime TrendLine Crossing
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With this simple tool, get a very early signal of a probable inversion of the current Trend, way before the Decoder Signal is shown, once confirmed by the GreyBOX.
🔹 Strategy #2: Checklist
📍 Set a Multi Time Frame environment
📍 Main Time Frame and the Upper Time Frame are moving in the same direction (Up or Down)
📍 Entry (Main Time Frame): wait for the Close crossing over the ReaTime TrendLine in an expected TrendUp (under for a TrendDown )
📍 First Stop Loss (Main Time Frame):
👉 place your SL under the lower low of the GreyBOX (for an expected TrendUp) or the higher high (for an expected TrendDown)
📍 BreakEven: move your SL to Entry price when the price reaches your Risk/Reward ratio of 1 = Distance StopLoss vs Entry = Distance Current Price vs Entry
📍 Trailing Stop: just under the lowest border of the Blue Cloud (TrendUp) or the highest border of the Orange Cloud (TrendDown)
📍 TakeProfits: in a TrendUP, place your take profits just under the FibosLevels in order not to get exited (and above in a TrendDOWN)
📍 Exits:
👉 Early option : Crossing of the RealTime TrendLine
👉 Late option : Crossing of the Blue/Orange cloud
🎛️ Configuration
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Well, basically you do not have to do anything !
But you can make TrendDECODER perfectly yours with a few switches in the configuration panel to make appear or disappear each one of the elements composing TrendDECODER.
🛠️ Calculation & Precisions
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🔹 Blue/Orange Clouds
The Blue/Orange Clouds are a proprietary synthesis of Price Action and Volume Exchange in real time.
🔹 Projective TrendLine
As soon as a new high or a new low has been reached during the last move, TrendDECODER traces a possible angle of the future movement based on the pace of the last one in the same direction.
The distance between the Projective TrendLine and the Last Lowest (resp. Highest) gives you a possible bottom (resp. top) of the price range.
🔹 RealTime TrendLine
As soon as the Decoder GreyBox has delivered its information i.e Range/Continuation/ReversalUp/ReversalDown and that a New High (resp. New Low) has been reached, the RealTime TrendLine starts to show the pace and the angle of the new movement based on a linear regression adanced concept.
The angles of the Projective and the RealTime TrendLine can be identical, telling you that the market moves smoothly in a global consensus. It can be a smart Trailing Stop Loss.
Or these angles can be very different and it will call your maximum attention. You might want to switch to a superior timeframe to get the bigger picture.
🔹 FiboLevels
Once a new Trend is signaled, the levels of Fibonnaci are automatically placed.
They are calculated on the last Highest and Lowest of the former movement.
Wyckoff Wave Volume
What Is Wyckoff Wave Volume and How Does It Work?
It is the cumulative sum of exchanged (sold/bought) shares or contracts on a given wave (downward or upward) in a given time plotted below the chart as volume histogram. It shows how much trade is taking place on a given wave. Values are displayed below the chart as opposed to the Wyckoff Wave Chart indicator which displays these values as numbers plotted on the chart.
As you can see in the attached chart, volume candles usually only show a single buyer and seller exposure on the chart. On a normal volume, "Volume Spike" are clearly visible, which play an important role in the analysis. However, the cumulative volume on a wave gives us much more information and shows exactly on which waves the biggest purchases or the biggest sales take place. As in the attached chart, we can see how buyers aggressively carried out the final accumulation action just before the range breakout. In the analysis of the Wyckoff method, cumulative volume is a key indicator to assess the strength or weakness of the market.
It works very similarly the other way around (distribution). Before the market changes direction after large increases, downward waves are characterized by very high volume, which is drawn on the histogram as ultra-high bars. This is information about the distribution carried out by the players - taking profits after increases or opening shorts.
Wyckoff Wave Volume for TradingView
Wyckoff Wave Volume is the best tool to identify turning points in all markets. Money plays in the market, not set ups. Therefore, in order to earn money, you must play in the same direction as the professionals! It is thanks to the observation of the volume that you can know which side the professionals (Smart Money) are on and trade in accordance with their direction. You can also "look" inside the chart and see on the numbers or graphical histogram who controls the market at a given moment - Buyer or the Seller.
Let's Start From The Beginning!
Wyckoff Wave Volume created by Richard Wyckoff in early 1930' were a breakthrough in technical analysis. In his famous technical analysis course, he told his students to "think like waves". Volume analysis was an integral part of his way of investing. During the period when Wyckoff was active in the financial markets wave volume was calculated manually, we now have a fully automated version for TradingView. Using Wyckoff Cumulative Volume you will be surprised how well it identifies turning points in all markets and on any time frame. This tool is very helpful in predicting trend changes in all markets like forex, crypto, futures and stocks.
In order for the indicator to work well on all charts, it is necessary to set the appropriate step in its settings.
"Step" is the wave setting to be taken into account when counting the volume on a given swing. The standard setting for each round is 30. This is the measure of pips on which the next upward or downward wave is to be counted. However, for individual assets, these settings can be adjusted individually.
Liquidity Salman v1his code is used to show trading signals based on liquidity, volatility, and trend indicators. A "buy" signal is defined if the positive money flow indicator exceeds the negative money flow indicator and the price is above a specified moving average for a set period. A "sell" signal is defined if the negative money flow indicator exceeds the positive money flow indicator and the price is below the specified moving average for a set period. A "ranging" signal is defined if the Average True Range (ATR) value is less than a specified value. Buy and sell shapes are plotted on the chart with their colors and locations changed based on the direction.
Some advantages of this code:
Multiple indicators are used to define signals, increasing the accuracy of the analysis.
Customizable variables such as moving average period, timeframe, and range threshold can be adjusted to suit the user's trading strategy.
Shapes' positions, types, colors, and conditions can be easily defined using plotshape.
request.security is used to fetch volume data from the main currency's timeframe, increasing the accuracy of the analysis and allowing the use of smaller timeframes for trading.
math.sum is used to calculate the money flow indicators. This method is faster than using traditional for loops.
input is used to create a user-friendly interface where settings can be adjusted before running the program.
والتذبذب والاتجاه. يتم تحديد إشارة "شراء" إذا كان مؤشر تدفق الأموال الإيجابي يتجاوز المؤشر السلبي ويزيد السعر عن المتوسط المتحرك لفترة محددة. ويتم تحديد إشارة "بيع" إذا كان المؤشر السلبي يتجاوز المؤشر الإيجابي ويقل السعر عن المتوسط المتحرك لفترة محددة. ويتم تحديد إشارة "تذبذب" إذا كانت قيمة مؤشر ATR (Average True Range) أقل من قيمة محددة. يتم رسم أشكال الشراء والبيع على الرسم البياني مع تغيير لونها وموضعها حسب الاتجاه.
من بين مزايا الكود:
يستخدم مؤشرات متعددة لتحديد الإشارات، مما يزيد من دقة التحليل.
يتيح للمستخدم تخصيص عدة متغيرات، مثل فترة المتوسط المتحرك وفترة الزمن وعتبة النطاق، لتناسب استراتيجية التداول الشخصية.
يتيح للمستخدم تحديد مواقع الأشكال وأنواعها وألوانها وشروط ظهورها بسهولة باستخدام plotshape.
يتم استخدام request.security لجلب بيانات الحجم من فريم العملة الرئيسي، مما يزيد من دقة التحليل ويفتح إمكانية استخدام الإطار الزمني الأصغر للتداول.
يتم استخدام math.sum لحساب مؤشرات التدفق النقدي. يعمل هذا الأسلوب بشكل أسرع من استخدام حلقات for التقليدية.
تم استخدام input لإنشاء واجهة مستخدم مريحة للمستخدم، حيث يمكنه تخصيص الإعدادات قبل تشغيل البرنامج.
Weis Wave-Wave TypesWeis Wave - Waves Types indicator
The Concept
This indicator has been created based on David's Weis theory of cumulative volume histograms but this indicator has been enhanced with additional wave types to be able to identify the following:
Visually identify the Effort vs Result concept (too much volume but small pip move or small volume too large pip move). Imbalance of Supply and Demand.
Be able to monitor how volume progresses within the wave, if it is increasing, decreasing or staying steady.
Identify easily the large volume waves using the emphasized volume algorithm to analyze the price reaction afterwards following the theory that Institutions participate on large volumes
What it does
This indicator draws cumulative histograms of 5 different wave types. Up swing histogram is when price goes up and down swing histogram is when price goes down. It adds the volume of each bar within the wave swing, it adds the pips of each bar within the wave swing , it adds the time of each bar within the wave swing, it measures if the volume rate is increasing or decreasing within the wave swing and emphasizes on larger volume volume waves by increasing their size for visual purposes.
How it does it
The length of each cumulative histogram is equal to each wave price swing. The price wave sensitivity can be adjusted by AutoSensitivity parameter (min value =2 and max value=11). The larger the number the more sensitive it is, which means more wave swings will be created. The selectable values for the wave type are: Volume, Pips, Time, Progressive Volume Rate or Emphasized Volume. Furthermore the width of the cumulative histogram bars can be adjusted as well as the color of the up and the down swings. Finally divider input values are available for volume and pip to decrease large numbers on the y-axis of the histograms.
Wave Type Detailed Explanation
Volume: the indicator adds the volume of each bar within the price wave swing and creates a cumulative histogram
Pips: the indicator adds the bar distance from open to close and creates a cumulative histogram of the net pip movement of the price swing
Time: adds the time of each bar within the price wave swing and creates a cumulative histogram
Progressive Volume Rate (PVR): measures the volume rate within each wave (if volume is increasing or decreasing or staying steady as the wave progresses)
Emphasized Volume: the indicator adds the volume of each bar within the price wave swing and creates a cumulative histogram but contains an algorithm that emphasizes the large waves.
How to Use
Draw Support/Resistance and Fib - Monitor carefully the cumulative histograms at these levels. Usually supply and demand imbalance happens at this level.
First and most important of all adjust AutoSesnsitivity to get your swings correct. Getting the correct swings means waves are catching the tops and bottoms of each price wave swings.
Then identify potential trades by:
1. Comparison of cumulative Volume histogram vs Pip histogram which makes the concept of Wyckoff "Effort versus Result" identifiable, lot's of volume with small pip move = lot's of effort vs with small result. Supply and Demand imbalance.
2. Monitor Progressive Volume Rate histogram which measures if the volume rate is increasing, decreasing or remains steady within the price wave swing. This histogram indicates more or less participation as price increases or decreases within the specific wave. For example increase of volume rate as price goes up could mean more participation which could mean that sellers might be entering. Also the opposite is valid increasing volume rate as price goes down could mean that buyers are entering.
3. Emphasized Volume waves, provide a visual emphases on large volume waves only, useful for traders that like to trade with high volume trends and for traders that believe that in large volume waves large institutes participate. Trade with price trend but also with the volume trend concept.
What makes it unique
This indicator is an advance cumulative wave histogram because apart the regular volume histogram and apart form using each wave type individually to make a decision it provides more confidence and becomes more powerful when confluence is used combining the other wave types and by using the strategies mentioned above to a higher probability trade. Some examples are shown below
Example of Effort vs. Result Concept
Example of Progressive Volume Rate
Example of Emphasized Volume
Volume DashboardReleasing Volume Dashboard indicator.
What it does:
The volume dashboard indicator pulls volume from the current session. The current session is defaulted to NYSE trading hours (9:30 - 1600).
It cumulates buying and selling volume.
Buying volume is defined as volume associated with a green candle.
Selling volume is defined as volume associated with a red candle.
It also pulls Put to Call Ratio data from the Ticker PCC (Total equity put to call ratios).
With this data, the indicator displays the current Buy Volume and the Current Sell Volume.
It then uses this to calculate a "Buyer to Seller Ratio". The Buy to Sell ratio is calculated by Buy Volume divided by Sell Volume.
This gives a ratio value and this value will be discussed below.
The Indicator also displays the current Put to Call Ratio from PCC, as well as displays the SMA.
Buy to Sell Ratio:
The hallmark of this indicator is its calculation of the buy to sell ratio.
A buy to sell ratio of 1 or greater means that buyers are generally surpassing sellers.
However, a buy to sell ratio below 1 generally means that sellers are outpacing buyers (0 buyers to 0.xyx sellers).
The SMA is also displayed for buy to sell ratio. Generally speaking, a buy to sell SMA of greater than or equal to 1 means that there are consistent buyers showing up. Below this, means there is inconsistent buying.
Change Analysis:
The indicator also displays the current change of Volume and Put to Call.
Put to Call Change:
A negative change in Put to Call is considered positive, as puts are declining (i.e. sentiment is bullish).
A positive change in Put to Call is considered negative, as puts are increasing (i.e. sentiment is bearish).
The Put to Call change is also displayed in an SMA to see if the negative or positive change is consistent.
Volume Change :
A negative volume change is negative, as buyers are leaving (i.e. sentiment is bearish).
A positive volume change is positive, as buyers are coming in (i.e. sentiment is bullish).
The volume change is also displayed as an SMA to see if the negative or positive change is consistent.
Indicator breakdown:
The indicator displays the total cumulative Buy vs Sell volume at the top.
From there, it displays the Ratio and various other variables it tracks.
The colour scheme will change to signal bearish vs bullish variables. If a box is red, the indicator is assessing it as a bearish indicator.
If it is green, it is considered a bullish indicator.
The indicator will also plot a green up arrow when buying volume surpasses selling volume and a red down arrow when selling volume surpasses buying volume:
Customization:
The indicator is defaulted to regular market hours of the NYSE. If you are using this for trading Futures, or trading pre-market, you will need to manually adjust the session time to include these time periods.
The indicator is defaulted to read volume data on the 1 minute timeframe. My suggestion is to leave it as such, even if you are viewing this on the 5 minute timeframe.
The volume data is best accumulated over the 1 minute timeframe. This permits more reliable reading of volume data.
However, you do have the ability to manually modify this if you wish.
As well, the user can toggle on or off the SMA assessments. If you do not wish to view the SMAs, simply toggle off "Show SMAs" in the settings menu.
The user can also choose what time period the SMA is using. It is defaulted to a 14 candle lookback, but you can modify this to your liking, simply input the desired lookback time in the SMA lookback input box on the settings menu. Please note, the SMA Length setting will apply to ALL of the SMAs.
That is the bulk of the indicator!
As always, let me know your questions or feedback on the indicator below.
Thank you for taking the time to check it out and safe trades!
Volume Profile Matrix [LuxAlgo]The Volume Profile Matrix indicator extends from regular volume profiles by also considering calculation intervals within the calculation window rather than only dividing the calculation window in rows.
Note that this indicator is subject to repainting & back-painting, however, treating the indicator as a tool for identifying frequent points of interest can still be very useful.
🔶 SETTINGS
Lookback: Number of most recent bars used to calculate the indicator.
Columns: Number of columns (intervals) used to calculate the volume profile matrix.
Rows: Number of rows (intervals) used to calculate the volume profile matrix.
🔶 USAGE
The Volume Profile Matrix indicator can be used to obtain more information regarding liquidity on specific time intervals. Instead of simply dividing the calculation window into equidistant rows, the calculation is done through a grid.
Grid cells with trading activity occurring inside them are colored. More activity is highlighted through a gradient and by default, cells with a color that are closer to red indicate that more trading activity took place within that cell. The cell with the highest amount of trading activity is always highlighted in yellow.
Each interval (column) includes a point of control which highlights an estimate of the price level with the highest traded volume on that interval. The level with the highest traded volume of the overall grid is extended to the most recent bar.
Wyckoff Wave Chart
What Is Wyckoff Wave Chart and How Does It Work?
It is the cumulative sum of exchanged (sold/bought) shares or contracts on a given wave (downward or upward) in a given time plotted on the chart.
Wyckoff Wave Chart for TradingView
Wyckoff Wave Chart is the best tool to identify turning points in all markets. Money plays in the market, not set ups. Therefore, in order to earn money, you must play in the same direction as the professionals! It is thanks to the observation of the volume that you can know which side the professionals (Smart Money) are on and trade in accordance with their direction. You can also "look" inside the chart and see on the numbers or graphical histogram who controls the market at a given moment - Buyer or the Seller.
Let's Start From The Beginning!
Wyckoff Wave Chart created by Richard Wyckoff in early 1930' were a breakthrough in technical analysis. In his famous technical analysis course, he told his students to "think like waves". Volume analysis was an integral part of his way of investing. During the period when Wyckoff was active in the financial markets wave volume was calculated manually, we now have a fully automated version for TradingView. Using Wyckoff Cumulative Volume you will be surprised how well it identifies turning points in all markets and on any time frame. This tool is very helpful in predicting trend changes in all markets like forex, crypto, futures and stocks.
In order for the indicator to work well on all charts, it is necessary to set the appropriate step in its settings.
"Step" is the wave setting to be taken into account when counting the volume on a given swing. The standard setting for each round is 30. This is the measure of pips on which the next upward or downward wave is to be counted. However, for individual assets, these settings can be adjusted individually.
Another important setting is the "Volume Divider" - the cumulative volume numbers on a given swing displayed on the chart will be different for different assets. In the case of penny stocks, it can be even millions of listed assets. In order for the chart not to display too long numbers, you can divide it by 1000 / 10000 / 100000. In the case of small intervals such as 1 or 5 minute charts, "O" may appear at the ends of swings. You should then reduce the "Volume Divider" to 1 or 10.
Accumulation example:
Relative VolumeHello traders,
"There's nothing new on Wall Street" is an age-old saying that still shows its relevance in modern day financial markets; volume still serves as a valuable tool for any trader just as it did for those that came and succeeded before us; in order to succeed in modern day markets one has to take it up a notch and dabble in complicated topics, like math. Now I dunno about you reader but I’m not keen on sitting around all day just to watch numbers on a screen; it’s pretty important to add some color into your life before it becomes dull but how can someone add colors into their trading toolkit as an aid rather than bother? With a bit of help from 3 other amazing open-source indicators you too can become a statistics enjoyer by combining math and colors to make pattern recognition much more intuitive and offering more peace of mind when trading. “Sir but how?”, glad you didn’t ask, it helps with simplifying statistics, in this case a Gaussian bellcurve
“HUH?”, you say? Alright class, Gaussian bellcurves for math dislikers 101 is in session
- Imagine that we have a bunch of numbers that we want to graph. We could just draw a line and plot the numbers on it, but that might not be very interesting.
- Instead, we can use the shape of a bell to show how many of each number we have.
- Let's say we have a lot of people and we want to graph how tall they are. We would start by making a line from the shortest person to the tallest person, and then we would draw the bell shape around the line.
- The bell shape is called a "Gaussian Bell Curve," and it shows us how many people are a certain height.
- In the middle of the bell, where it's the widest, we have the most people who are about average height. As we move to the sides of the bell, the curve gets lower because there are fewer people who are really tall or really short.
The bell curve discussed is the main idea for the candle coloring component of this indicator as being able to analyze the distribution of an entire dataset, in this case volume, can alert us when volume/participation in the market is away from its average using color, and therefore an opportunity could be present. Fair warning, it’s important to not strictly focus on volume as volume is meant to be confluence to the current structure of the market rather than causing tunnel vision.
Why 3 indicators to combine?
It starts with the RVOL by Mik3Christ3ns3n indicator as the backbone by calculating the average volume over a specified period of time, and then compares each new volume value to this average to determine whether it is above or below the average. The indicator then normalizes the volume data and calculates the z-score/standard deviation to determine whether the volume is within normal range or is an anomaly beyond a specified threshold which can also be set into an alert to aid in eyeing possible opportunities.
The code also includes Candle Coloring by Morty as it calculates a function to get the z-score for the size of the candle's body, and then compares it to the z-score for volume to determine whether the body size is a factor in the price action.
Finally, the code plots the anomalies and the normalized volume data on the chart using the first RVOL indicator mentioned, and colors the bars of the chart based on whether they are within normal range or are anomalies which comes from using code from veryfid's relative volume indicator.
Overall, this custom technical indicator is best used to identify unusual changes in trading volume, which may indicate potential price movements in the underlying.
How about some examples?
This first example is for my scalpers wanting to get in and out but not having much of an idea where or let alone how; using a tool like VWAP can be great for determining the area value to execute mean reversion trades once a speculator spots a colored candle anomaly at standard deviation band. Works best when VWAP is flat as it signals lack of conviction from both bulls and bears
This second example is for my fire and forget intraweek swing traders who want to execute a higher timeframe trend-following bias. A speculator starting 2023 off notices that the negative sentiment around Binance from late last year has quieted down and has conviction in upside after BTC began an uptrend as monthly VWAP (right chart) has began sloping up as well as a rally with momentum shown with the blue colored candle so the trader waits wait for a pullback for entry. On the chart to the left of the 4H the speculator notices a pullback into the area of interest to do business so a limit bid is left to enter for continued upside in Bitcoin through January 2023 just by keeping things simple
That’s really the main purpose of this indicator: simplicity of statistics for confluence using volume
Volume precedes price and price moves only for narrative to follow- why wait for your subjective Twitter timeline to give you a biased narrative to trade when you can use objective analysis by combining statistics and colors to allow for a cleaner execution process
“But what about risk management?” Glad you didn’t ask reader!
One last example then, we meet our trend following trader again feeling euphoric so they know profit taking season is coming soon but wants to leave emotion out of it. How to go about it? Same idea as our last trend following example: we see on the 4h chart to the right side shows Bitcoin lose and trade back within the 2nd standard deviation of quarterly VWAP which is telling our speculator that the uptrend has broken on top of which notices on the 30 minute chart on the left that aggressive market buyers have been steadily absorbed by limit sellers on multiple occasions of retesting 30,500 shown with the green colored candles and volume bars below, time to sell.
Turns out that selling was proactive risk management because price dumped thereafter
Hope this explanation gave you some useful insights on using statistics as colors from cherrypicked examples, remember that just because my examples are cherrypicked doesn’t invalidate these concepts at all as the market only does two things, initiate aggressive auctions and respond passively to auctions. This tool makes for seeing where that initiative aggressive activity is happening much simpler to deduce if others will respond to an anomaly of initiative aggressive activity or if the aggression will continue.
If there’s just one thing you take from this- simplicity above all, cheers and good luck
Tape (Time and Sales)OVERVIEW
This indicator is a synthesized "Tape" (aka. Time and Sales) from real time market data. It's specifically designed to be performant, expediting trading insights and decisions.
The table contains color-coded price action, volume size, and a timestamp data for each chart update. Because chart updates are independent of exchange orders, 1 chart update may combine more than 1 exchange and/or order. Even so, you're able to see very small and fast order flow changes, made possible by measuring real time volume differentials, and correlating them with price action.
Real time volume differentials are required for this indicator to be most useful. This is not ideal for historical analysis or TradingViews Replay feature.
INPUTS
You can can configure:
Table Position and Text Size
The Timestamp (visibility, format, timezone)
The number of lines to print
Volume Parameters (minimum size, large sizes, decimal precision)
Highlighting and Enlarging large sized prints
All the colors
DEV NOTES
This script illustrates:
The complimentary nature of loops and arrays
A method for iterative table management
AutoLevels3.0AutoLevels is a script based on the ATR ( Average True Range ) of price action over the past 14 days. It calculates those and includes Fibonacci Extensions to create Levels that are Automatically created each morning. These are not based on past price action but are well respected and easily show patterns throughout the day.
Levels are made up of a BULL BAR , a BEAR BAR ( Go long above Bull, short below Bear Bar ) and the various extensions beyond them. Common Liquidity areas are also highlighted as tan/yellow bars. These are common reversal and contention levels should price action approach them.
Also included are 4 EMAs that have been transformed into 2 separate EMA clouds. These clouds will change color when bearish / bullish and crossing and signal up and downtrends and compress during chop. They are 100% customizable with your own EMA preference. Colors as well.
The Candles are Volume Based Candles. They default to Hollow candles when Volume is below the 24 moving average ( customizable ) and are filled solid when the volume for that time period has HIGH RELATIVE VOLUME. These are GREAT SIGNALS as price action approaches the levels that the AUTOLEVEL indicator generate. When a candle is filled and approaching a level it is likely to break through or attempting to. Low volume candles, hollow, show low conviction in price movement.
Aside from the Fibonacci Levels generated, the EMA Clouds and the Volume Candles you can also select how full or minimal your chart is. ( more levels to only a few ) Also you can extend all levels to the right for future charting or leave that selection off to only generate the static daily levels a few bars ahead.
You can also adjust the timeframe the Autolevels are generating levels for. 1 day is the current day. 1 month plots out a month of levels and is best used with the 1D timeframe.
You can look up my Twitter account for hundreds of examples of daily use.
