Option ScalperWhat is Scalping?
Scalping is a trading strategy aimed at profiting from quick momentum in a volatile index or stock or any other instrument that can be traded.
Traders who use such strategies place anywhere from 10 to a few hundred trades in a single day.
The idea behind such type of trading is that small moves in an index or stock price are much easier to capture than the larger moves.
Traders who use such strategies are known as scalpers. When you take many small profits a number of times, say 10 points scalped 20 times per day, they can easily add up to large gains.
An Option Buyer's Biggest Enemy is Time Decay and when you scalp, you do not allow the time decay to eat your Option Premium as your Entry and Exit is often quick enough.
What is Option Scalper?
Option Scalper indicator is a momentum-based indicator that tries to detect momentum based upon a number of factors as given below:
(1) Price action accumulated over a period of time when big candles are nowhere
(2) Repeatedly Occurring, certain Candle patterns which indicate if buyers have the upper hand or sellers are ruling the market.
(3) Gradient of moving averages which shows consistency of net buying/selling force
(4) Price jumping normal distribution line and landing in outlying areas, signalling increasing momentum of buying/selling activity.
Based upon the above factors, when Option Scalper thinks a move has the potential to turn into a big move, it generates its Buy/Sell Signals.
When aggressive buying or selling starts where Buying & Selling Forces become unequal, the Price starts moving in one direction with candles making Higher Highs or Lower Lows, moving average lines start scaling up or down or volumes start increasing.
Option Scalper detects these (1) Higher Highs or Lower Lows, (2) scaling up moving average lines, and/or (3) price breaking out of channels; and generates Buy or Sell signals.
In order to use this indicator, simply deploy this on your chart, and wait for Buy/Sell signals. When a Buy/Sell Signal appears, a small line starts forming up at the closing level of Buy/Sell signal candle. Your Entry will be above that line for Buy Signal and below that line for Sell Signal.
It works on all time frames.
Whenever a Buy Signal is followed by Sell signal (let it be after 7 - 8 candles or after many candles) or vice-versa, you have to switch your position to make most of the reverse move.
It is a general purpose indicator and may be used on stocks, commodities, forex and any other instruments alike and is not meant for any specific market.
How to Take Buy/Sell Entry with Option Scalper?
Whenever a Buy/Sell Signal appears on a candle, Option Scalper starts marking its closing price with a horizontal line that keeps extending towards right side with every new candle. This line is Blue in Color for Buy Signal and dark golden color for Sell Signal.
Initially this horizontal line will be very small but as more and more candles appear with the passage of time, the length of the line keeps increasing.
The purpose of this line is to mark the closing price of Signal candle and you have to take your Buy Entry above this line (if last signal is BUY) or you have to take your trade Below this line (if last signal is SELL).
The indicator will also draw another line at the Opening Price of Signal Candle, which can act as your initial stop loss. If trade starts moving in your direction and price goes above upper variance line (light green curvy line) or goes below lower variance line (purple wavy line), then that line becomes your trailing stop loss line from that point onwards.
The indicator also marks the consolidation zone for you. If the Buy/Sell Signal has come but price is in consolidation zone (grey colour cloud), do not take any positions yet and wait for the price to come out of the cloud and breach the Entry Line.
Exiting Buy/Sell Positions and Re-Entry Rules
1. Exiting your Buy Trade: When a Buy Trade is active, indicator can detect where the ongoing upmove may end or retrace for a while and it will print an X symbol (RED COLOR) to warn you. After you see a Red Color X symbol, if price starts making lower lows, you can exit your Buy Trade there or if you are in good profit, you can wait for the price to go below upper variance line (the green color Trailing Stop Loss Line for Buy Trade). See the image below for Red Color X symbol which warns you to be prepared for EXIT from Buy Trade:
2. Re-Entry for Buy Trade: If the last signal on your chart is still Buy Signal but your stop loss has been hit once or twice and you have no open positions now, you can RE-ENTER in buy trade if and when price again climbs above the grey cloud.
3. Exiting your Sell Trade: When a Sell Trade is active, indicator can detect where the ongoing down-move may end or retrace for a while and it will print an X symbol (Green COLOR) to warn you. After you see a Green Color X symbol, if price starts making higher highs, you can exit your Sell Trade there or if you are in good profit, you can wait for the price to go above lower variance line (the purple color Trailing Stop Loss Line for Sell Trade).
4. Re-Entry for Sell Trade: If the last signal on your chart is Sell Signal but your stop loss has been hit once or twice and you have no open positions now, you can RE-ENTER in Sell trade if and when price again crosses below the grey color cloud.
See the image below for recognizing Red and Green X symbols which indicate that temporary retracement or reversal signal is developing:
What are the other features of Option Scalper?
1. End to End Horizontal Support/Resistance Lines: Indicator also detects, prints and deletes horizontal support and resistance lines which can help in your trading decisions. For example, a Buy Signal comes and price crosses above upper variance line and also crosses nearby horizontal resistance line means it has higher probability of moving further up. The reverse is also true (for Sell Signal). See an example of a resistance line below:
2. Star Symbols: If 5 or more consecutive candles are of the same color, then Star Symbol (*) starts appearing above or below the candles. When price has moved too high or too low from the upper or lower variance line, these stars indicate that there is higher probability of retracement happening now which should prompt you to book full or partial profit. See the circled stars in the below image
3. Color Changing Candles: If a candle changes its color from Red to Purple or from Green to light green, they indicate increased intensity of Selling or Buying activity. For example, if each 1 min candle within a 5 min candle is red, then that 5 min candle will turn purple which means Selling pressure is too much and there are very few or no buyers at all. Reverse is also true when Green Candle becomes Light Green. Example images of such candles can be seen below:
4. Consolidation Zone: It is very important for an option buyer to strike only when there is momentum and not to take any fresh trade (or if you already have a position, then closing it for the time being) when price is in consolidation zone. Consolidation zone is marked by a grey colour cloud as seen in below image.
What Type of Alerts Can be Set up: You can set up 3 type of alerts with this indicator (a) Buy Entry Signal which happens when Price closes above the marked Buy Price Level (b) Sell Signal which happens when Price closes below the marked Sell Price Level or (c) Any signal (if you want to be alerted when either Buy or Sell Signal happens)
How to get this indicator?
This is invite-only indicator. Get in touch with us using information given below in Signature field to try this indicator FREE. You may also chat with us through Private Chat feature of TradingView.
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Cross Period Comparison IndicatorReally excited to be sharing this indicator!
This is the cross-period comparison indicator, AKA the comparison indicator.
What does it do?
The cross-period comparison indicator permits for the qualitative assessment of two points in time on a particular equity.
What is its use?
At first, I was looking for a way to determine the degree of similarity between two points, such as using Cosine similarity values, Euclidean distances, etc. However, these tend to trigger a lot of similarities but without really any context. Context matters in trading and thus what I wanted really was a qualitative assessment tool to see what exactly was happening at two points in time (i.e. How many buyers were there? What was short interest like? What was volume like? What was the volatility like? RSI? Etc.)
This indicator permits that qualitative assessment, displaying things like total buying volume during each period, total selling volume, short interest via Put to Call ratio activity, technical information such as Stochastics and RSI, etc.
How to use it?
The indicator is fairly self explanatory, but some things require a little more in-depth discussion.
The indicator will display the Max and Min technical values of a period, as well as a breakdown in the volume information and put to call information. The user can then make the qualitative determination of degrees of similarity. However, I have included some key things to help ascertain similarity in a more quantitative way. These include:
1. Adding average period Z-Score
2. Adding CDF probability distributions for each respective period
3. Adding Pearson correlations for each respective period over time
4. Providing the linear regression equation for each period
So let us discuss these 4 quantitative measures a bit more in-depth.
Adding Period Z-Score
For those who do not know, Z-Score is a measure of the distance from a mean. It generally spans 0 (at the mean) to 3 (3 standard deviations away from the mean). Z-Score in the stock market is very powerful because it is actually our indicator of volatility. Z-Score forms the basis of IV for option traders and it generally is the go to, to see where the market is in relation to its overall mean.
Adding Z-Score lets the user make 2 big determinations. First and foremost, it’s a measure of overall volatility during the period. If you are getting a Z-Score that is crazy high (1.5 or greater), you know there was a lot of volatility in that period marked by frequent deviations from its mean (since on average it was trading 1.5 standard deviations away from its mean).
The other thing it tells you is the overall sentiment of that time. If the average Z Score was 1.5 for example, we know that buying interest was high and the sentiment was somewhat optimistic, as the stock was trading, on average, + 1.5 SDs away from its mean.
If, on the other hand, the average was, say, - 1.2, then we know the sentiment was overall pessimistic. There was frequent selling and the stock was frequently being pushed below its mean with heavy selling pressure.
We can also check these assumptions of buying / selling buy verifying the volume information. The indicator will list the Buy to Sell Ratio (number of Buyers to Sellers), as well as the total selling volume and total buying volume. Thus, the user can see, objectively, whether sellers or buyers led a particular period.
Adding CDF Probability
CDF probabilities simply mean the extent a stock traded above or below its normal distribution levels.
To help you understand this, the indicator lists the average close price for a period. Directly below that, it lists the CDF probabilities. What this is telling you, is how often and how likely, during that period, the stock was trading below its average. For example, in the main chart, the average close price for BTC in Period A is 29869. The CDF probability is 0.51. This means, during Period A, 51% of the time, BTC was trading BELOW 29869. Thus, the other 49% of the time it was trading ABOVE 29869.
CDF probabilities also help us to assess volatility, similar to Z-Score. Generally speaking, the CDF should consistently be reading about 0.50 to 0.51. This is the point of an average value, half the values should be above the average and half the values should be below. But in times of heightened volatility, you may actually see the CDF creep up to 0.54 or higher, or 0.48 or lower. This means that there was extremely extensive volatility and is very indicative of true “whipsaw” type price action history where a stock refuses to average itself out in one general area and frequently jumps up and down.
Adding Pearson Correlation
Most know what this is, but just in case, the Pearson correlation is a measure of statistical significance. It ranges from 0 (not significant) to 1 (very significant). It can be positive or negative. A positive signifies a positive relationship (i.e. as one value increases so too does the other value being compared). If it is a negative value, it means an inverse relationship (i.e. one value increases proportionately to the other’s decline).
In this indicator, the Pearson correlation is measured against time. A strong positive relationship (a value of 0.5 or greater) indicates that the stock is trading positive to time. As time goes by, the stock goes up. This is a normal relationship and signifies a healthy uptrend.
Inversely, if the Pearson correlation is negative, it means that as time increases, the stock is going down proportionately. This signifies a strong downtrend.
This is another way for the user to interpret sentiment during a specific period.
IF the Pearson correlation is less than 0.5 or -0.5, this signifies an area of indecision. No real trend formed and there was no real strong relationship to time.
Adding Linear Regression Equation
A linear regression equation is simply the slope and the intercept. It is expressed with the formula y= mx + b.
The indicator does a regression analysis on each period and presents this formula accordingly. The user can see the slope and intercept.
Generally speaking, when two periods share the same slope (m value) but different intercept (b value), it can be said that the relationship to time is identical but the starting point is different.
If the slope and intercept are different, as you see in the BTC chart above, it represents a completely different relationship to time and trajectory.
Indicator Specific Information:
The indicator retains the customizability you would expect. You can customize all of your lengths for technical, change and Z-Score. You can toggle on or off Period data, if you want to focus on a single period. You can also toggle on a difference table that directly compares the % difference between Period A to Period B (see image below):
You will also see on the input menu a input for “Threshold” assessments. This simply modifies the threshold parameters for the technical readings. It is defaulted to 3, which means when two technical (for example Max Stochastics) are within +/- 3 of each other, the indicator will light these up as green to indicate similarities. They just clue the user visually to areas where there are similarities amongst the qualitative technical data.
Timeframes
This is best used on the daily timeframe. You can use it on the smaller timeframe but the processing time may take a bit longer. I personally like it for the Daily, Weekly and 4 hour charts.
And this is the indicator in a nutshell!
I will provide a tutorial video in the coming day on how to use it, so check back later!
As always, leave your comments/questions and suggestions below. I have been slowly modifying stuff based on user suggestions so please keep them coming but be patient as it does take some time and I am by no means a coder or expert on this stuff.
Safe trades to all!
Liquidation Levels - By LeviathanThis indicator generates liquidation levels of over-leveraged traders and utilizes a variety of different tools to analyze data such as Open Interest and Volume to provide an edge in your trading system and help you with valuable market insights.
The concept of this indicator is inspired by the platform Hyblock and their Liquidation Levels tool.
The script offers a lot of flexibility in settings, so please read these instructions and test out different parameters to see what works best for you. Here is a short overview of all inputs, one by one.
PRIMARY SOURCE OF DATA
This input allows you to choose the primary source of data that the script uses to calculate liquidation levels. I encourage you to test them all and see which works best for the assets and timeframes you trade. You can also regularly switch between to see confluences.
My personal favorite inputs (and also most accurate ones) are Open Interest, Open Interest + Volume (OI+VOL), and Open Interest + CVD (OI+CVD), as they utilize Open Interest in the calculations, which is the most important factor when it comes to analyzing position opening/closing and market activity in general. The other options that do not include Open Interest (Volume, CVD) were mainly added to provide the possibility to use the indicator on pairs where OI data is not available. Please note that this indicator is built on Tradingview and can only use data (e.g., Open Interest) provided by Tradingview, which is unfortunately quite limited. This is why I recommend using the script with OI-based data source inputs on Binance's perpetual futures pairs, as this is where OI data is available. The volume-based data source inputs can be used on spot pairs, forex, indices, and other markets, where Open Interest data is not provided.
To summarize the use of Primary Source of Data input:
1. Open Interest - use on Binance’s perpetual futures or anywhere else where OI data is available
2. OI + VOL - use on Binance’s perpetual futures or anywhere else where OI data is available
3. OI + CVD - use on Binance’s perpetual futures or anywhere else where OI data is available
4. CVD - use on any pair you wish
5. Volume - use on any pair you wish
DIRECTIONAL BIAS
If turned on, the Directional bias function uses volume and some other calculations to predict which side’s liquidation levels are more likely to be filled and only keep those levels on your chart.
- Directional Bias for Liquidation Levels
Turned ON: only one side’s liquidation levels are shown on the chart
Turned OFF: all liquidation levels are shown on the chart
- Directional Bias for Liquidation Level Bubbles
Turned ON: only one side’s liquidation level bubbles are shown on the chart
Turned OFF: all liquidation level bubbles are shown on the chart
I've separated directional bias options between Liquidation Levels and Liquidation Level Bubbles because sometimes it can be useful to have one of them ON and the other one OFF.
REDUCE SENSITIVITY
The Reduce Sensitivity option allows you to multiply the thresholds for "Smaller Size Liquidation," "Medium Size Liquidation," and "Large Size Liquidation" simultaneously. This is a useful feature as it enables you to easily filter larger positions and their liquidations without having to manually alter the standard deviation multipliers, which will be discussed in further detail later in the article.
The default value is 1, which means that it does nothing.
Increasing it above 1 will increase all thresholds and therefore generate fewer liquidation levels but with larger relative sizes.
Decreasing it below 1 will lower all thresholds and therefore generate more liquidation levels but with both smaller and larger relative sizes.
BASE
This input gives you the possibility to choose between four different bases, from which the liquidation levels will be generated.
CLOSE ⇒ Levels are plotted above and below the close of the candle
HALF ⇒ Levels are plotted above and below the middle of the candle ((high+low)/2)
VWAP ⇒ Levels are plotted above and below the volume-weighted average price
VWMA ⇒ Levels are plotted above and below the volume-weighted moving average
I suggest that you backtest them and see what works best for you.
LIQUIDATION LEVEL BUBBLES
If enabled, "Liquidation Level Bubbles" mark the beginning of a new liquidation level and indicate the relative size of liquidations that would occur if the price were to reach that level.
Liquidation Bubbles or Liquidation Levels in general appear when there is a large influx of new positions and logically, (significant) new positions lead to (significant) new liquidation levels. Liquidation Bubbles can be used to estimate the size and therefore significance of a given liquidation level. It could be argued that the price is more likely to be attracted to larger Liquidation Level Bubbles. While this is often true, it is not always the case as the strong momentum created by large positions can sustain for a prolonged period before reversing and filling the remaining levels Similarly to other features in this indicator, significant new positions are identified and filtered using standard deviation thresholds and their multipliers. New positions are considered significant when newly opened positions exceed the threshold for "Smaller Size Liquidation," leading to the creation of new liquidation levels and bubbles.
1. If new positions exceed the first standard deviation multiplier ("Smaller Size Liquidation Level"), but do not exceed “Medium Size Liquidation Level”, a smaller-sized bubble appears.
2. If new positions exceed the second standard deviation multiplier (”Medium Size Liquidation Level”), but do not exceed “Large Size Liquidation Level”, a medium-sized bubble appears.
3. If new positions surpass the third standard deviation multiplier (”Large Size Liquidation Level”), a large-sized bubble appears.
Significant opened positions are identified and filtered by size using three "thresholds" in the form of standard deviations, which can be modified in the indicator settings, in the section called "Standard Deviation Multipliers".
**Increasing** the standard deviation multipliers of Liquidation Level Bubbles effectively increases the threshold for a given bubble to occur, making the conditions for its appearance stricter.
⇒ Fewer Liquidation Levels - just larger positions are included
**Decreasing** the standard deviation multipliers of Liquidation Level Bubbles effectively decreases the threshold for a given bubble to occur, making the conditions for its appearance looser.
⇒ More Liquidation Levels - smaller positions are included
Keep in mind that this should always be the case:
*Smaller Size Liquidation Level < Medium Size Liquidation Level < Large Size Liquidation Level*
MARKET ORDER BUBBLES
"Market Order Bubbles" is my experimental concept used as a way to analyze large volumes and visualize the market activity at significant levels under certain conditions. It is based on my imitation of CVD which is also used in other parts of the script. The aim of this concept is to give you an idea about the real-time heavy market buying and selling, which could indicate eg. large liquidations, large entries/exits. in order to add confluence to your analysis. Please note that this concept is still in its early stages and may be confusing as it might have been poorly implemented. I recommend taking the time to thoroughly read through this section in order to fully understand it. On the other hand, early backtesting results appear very promising, as the win rate of countertrading buy and sell bubbles under certain conditions was fairly high (70%). I will continue working on this tool, so stay tuned for future updates.
**Market Buy Order Bubbles** appear above the price and possibly signal the following:
- Short positions being liquidated (exit short = buy order)
- New traders entering late longs based on FOMO (enter long = buy order)
- New short positions (sells) of “smarter” traders absorbing liquidated/closed shorts (buys)
⇒ Possible reversal to the downside - look for the liquidation levels of longs to get filled
**Market Sell Order Bubbles** appear below the price and possibly signal the following:
- Long positions being liquidated (exit long = sell order)
- New traders entering late shorts based on FOMO (enter short = sell order)
- New long positions (buys) of “smarter” traders absorbing liquidated/closed longs (sells)
⇒ Possible reversal to the upside - look for the liquidation levels of shorts to get filled
significant volumes are identified and filtered using three “thresholds” in the form of standard deviations, which can be modified in indicator settings.
1. If buy/sell volume surpasses the first standard deviation (”**Smaller Size Market Orders**”), then the **smaller-sized bubble** appears.
2. If buy/sell volume surpasses the second standard deviation (”**Medium Size Market Orders**”), then the **medium-sized bubble** appears.
3. If buy/sell volume surpasses the third standard deviation (”**Large Size Market Orders**”), then the **large-sized bubble** appears.
**Increasing** the standard deviation multipliers effectively increases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
**Decreasing** the standard deviation multipliers effectively decreases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
Keep in mind that this should always be the case:
*Smaller Size Market Orders < Medium Size Market Orders < Large Size Market Orders*
COLOR CANDLES
The Color Candles function is a useful and interesting feature that will enhance your analysis with additional context. If enabled, the indicator will color the chart's candles based on different data. Currently, there are three options to choose from, with more to be added in future updates.
Color Candles: OI DELTA
This option will color the candles to reflect Open Interest Delta. If there is a net increase in open positions (positive Open Interest Delta), the candle will be colored green. If there is a net decrease in open positions (negative Open Interest Delta), the candle will be colored red. It is important to note that this option only functions on pairs for which Tradingview provides OI data
Color Candles: VOLUME
This option utilizes volume data to help you identify the trend and momentum, coloring the candles accordingly - upward impulses are colored green and downward impulses are colored red. This makes it easier to recognize trend reversals and adjust your directional bias accordingly.
Color Candles: STOCH
This option uses the Stochastic Oscillator and SMA to color the candles, helping you identify momentum as upward green moves transition to downward red moves and vice versa.
LEVERAGE RATIO
Leverage ratio is another experimental concept I have added to this script. If turned on, it provides a broad insight into whether the market is relatively over-leveraged or if the leverage is relatively low. The aim is to use it as a confluence in anticipating incoming volatility and possibly use it to understand other aspects of market activity. It is still in its early stages of development and needless to say, it only works on pairs where Open Interest data is provided by Tradingview.
Crosses above price = Leverage is relatively high
Crosses below price = Leverage is relatively low
MARKET INFO SCREENER, LEVEL LEGEND, HIDE FILLED LINES
The last three inputs of Basic Settings section:
”The Market Info Screener” feature will display a small panel on the right side of your chart that provides useful data about the market, including Open Interest, Volume, the aggressive side of traders, and the Leverage Ratio. More data coming in future updates.
"Level Legend" option will display a small legend on the right side of the chart, helping you or others viewing the chart to understand what the objects on the chart mean.
"Hide Filled Lines" option will hide liquidation levels that have already been filled, only displaying the active ones in order to reduce clutter on your chart.
APPEARANCE
The “Appearance” settings offer a variety of modifications for colors, styles, and visibility.
The "Line Style" input allows you to choose the style and width of the liquidation level lines. You can also select which levels to display, as well as the color of the liquidation level lines and bubbles. The "Max Number of Lines" input allows you to specify the number of level lines you want on a chart. If you feel that there is too much clutter, you can decrease this number, and old lines will be removed. Please note that Tradingview has a built-in limit of 500 lines on a given chart, so this value cannot be set above 500. The "Market Buy/Sell Bubble Style" input can be used to modify the color and style of the market order bubbles. Enabling the "Show Settings Screener" option will display a screener with a list of all your settings on the right side of the chart, making it easier to share your preferred settings with others."
STANDARD DEVIATION MULTIPLIERS
This is where you can set the standard deviation thresholds for Liquidation Levels and Market Order Bubbles. These values can be customized to your preference, as the default values may not be suitable for your needs or you may want to experiment with different values to see more or fewer liquidation levels or market order bubbles on your chart. Personally, I sometimes use this feature to increase the Large Size Market Orders or Large Size Liquidation Levels multipliers so that large-sized bubbles are only assigned to extremely large positions or volumes.
If you want to only analyze larger positions or volumes, you can increase the "Smaller Size" multipliers, which act as a minimum threshold.
If you also want to include even smaller positions or volumes in your analysis, you can decrease the values of the "Smaller Size" multipliers, which act as a minimum threshold
Please note that the "Reduce Sensitivity" option in Basic Settings affects the standard deviation multipliers of the liquidation levels. Changing the "Reduce Sensitivity" value will equally multiply all of them (the ratio between Smaller, Medium, and Large multiplier values will remain the same)
STANDARD DEVIATION LENGTH
"Standard Deviation Length" defines the length (number of bars) used in all calculations that utilize the standard deviation function in this script. Decreasing it will generate Liquidation Levels and Liquidation Bubbles based more on recent data. Increasing it will generate Liquidation Levels and Liquidation Bubbles based on more long-term data.
CVD LENGTH
"CVD Length" refers to the length used in calculating cumulative volumes. Decreasing it will generate Liquidation Levels, Market Order Bubbles, and apply Directional bias based more on recent data. Increasing it will generate those based on more long-term data."
LEVEL CALCULATION MODES
“Level Calculation Modes” enable you to switch between three modes of calculating the distance between the base and actual liquidation levels.
COPYRIGHT
"Copyright" option will add your username to the copyright section at the bottom of the chart, giving you credit for your analysis if you post it somewhere.
Market First - Relative Strength/Weakness (the ZenBot strategy)This market-first trading strategy gives BUY, SHORT, and CLOSE signals based on volume, trend, and relative strength or weakness to the market (SPY by default, can be customized). This indicator is useful for signaling day-trade entries and exits for tickers that are strong (or weak) against the market.
Stocks that are showing relative strength (or weakness) to the market, are trending, and have decent movement generate a buy (or short) signal. When the trend runs out, a CLOSE signal is fired.
Potential profit (based on ATR) and actual profit is calculated, predicting the type of move expected
Unique 'stay in trade' logic helps prevent unnecessary CLOSE signals if a trend is likely to continue
A colored plot indicates the strength of the current trend and turns orange/red when the strength is weakened.
Crypto traders can uncheck 'Trade during market hours' for 24-hour trading, and should change the comparison ticker from SPY to BTCUSD or something similar for their market.
Enjoy!
KEY CONCEPTS
The three- and five-minute timeframes are used to establish and verify trend ( ADX /DI with custom logic)
Entries and exits are based on Parabolic SAR and confirmed on multiple timeframes, trend, and relative volume
Relative strength /weakness to the market compares ticker to SPY
Chop is avoided at all costs. I've experimented with choppiness indicator below 38, but found that the ADX DI+/- readings work even better.
Trend is established using ADX DI+/- readings over 20, confirmed by EMA 5/13 crossover and EMA5 slope
Signals will fire only if the average volume for the current 5-min bar is above normal
Only tickers with a five-bar / 13 period ATR of 1% the ticker's price generate signal.
Only longs above daily-anchored VWAP , shorts below daily-anchored VWAP
Signals fire on bar close to prevent repainting / look-ahead bias
Indicator labels and alerts generated
SIGNALS
BUY: up-trending tickers showing relative strength are bought on the three-minute PSAR
SELL: when the close price falls below the 1, 3, and 5-minute PSAR, or the ADX DI- falls below 20
SHORT: down-trending tickers with relative weakness are shorted on the three-minute PSAR
COVER: when the close price moves above the 1, 3, and 5-minute PSAR, or the ADX DI- falls below 20
ALERTS
Alerts are generated on BUY, SELL, SHORT, and COVER signals, as well as optional LOST RELATIVE STRENGTH and LOST RELATIVE WEAKNESS
INPUTS
Use relative strength /weakness comparison with the market : trigger trades based on the ticker's strength or weakness to the selected comparison ticker (usually SPY for equities or BTCUSD for crypto)
[* ]Comparison Ticker for relative strength /weakness : Ticker to compare against for relative strength /weakness
Trade during market hours only : Take buy/sells during specified hours. Disable this for crypto trading.
[* ]Market hours (market time) : Customize market hours - defaults to 9:30 to 16:00 EST
[* ]"Only trade very strong trends" : take trades only if an established trend is very strong ( ADX over 40 ) (DEFAULT = ON)
"Limit trade direction to VWAP" : Long trades only above VWAP , shorts below (DEFAULT = ON)
"Limit trade direction to Market direction" : Long trades only if SPY (or selected comparison ticker) is up, shorts if the market is down. (DEFAULT= ON)
"Limit trades based on a ticker's green/red status for the day" : Long trades if the ticker is green for the day, shorts if red. (DEFAULT = ON)
Market First Signals - Relative Strength/WeaknessThis market-first trading strategy gives BUY, SHORT, and CLOSE signals based on volume, trend, and relative strength or weakness to the market (SPY by default, can be customized). This indicator is useful for signaling day-trade entries and exits for tickers that are strong (or weak) against the market.
Stocks that are showing relative strength (or weakness) to the market, are trending, and have decent movement generate a buy (or short) signal. When the trend runs out, a CLOSE signal is fired.
Potential profit (based on ATR) and actual profit is calculated, predicting the type of move expected
Unique 'stay in trade' logic helps prevent unnecessary CLOSE signals if a trend is likely to continue
A colored plot indicates the strength of the current trend and turns orange/red when the strength is weakened.
Crypto traders can uncheck 'Trade during market hours' for 24-hour trading, and should change the comparison ticker from SPY to BTCUSD or something similar for their market.
Enjoy!
KEY CONCEPTS
The three- and five-minute timeframes are used to establish and verify trend (ADX/DI with custom logic)
Entries and exits are based on Parabolic SAR and confirmed on multiple timeframes, trend, and relative volume
Relative strength /weakness to the market compares ticker to SPY
Chop is avoided at all costs. I've experimented with choppiness indicator below 38, but found that the ADX DI+/- readings work even better.
Trend is established using ADX DI+/- readings over 20, confirmed by EMA 5/13 crossover and EMA5 slope
Signals will fire only if the average volume for the current 5-min bar is above normal
Only tickers with a five-bar / 13 period ATR of 1% the ticker's price generate signal.
Only longs above daily-anchored VWAP, shorts below daily-anchored VWAP
Signals fire on bar close to prevent repainting / look-ahead bias
Indicator labels and alerts generated
SIGNALS
BUY: up-trending tickers showing relative strength are bought on the three-minute PSAR
SELL: when the close price falls below the 1, 3, and 5-minute PSAR, or the ADX DI- falls below 20
SHORT: down-trending tickers with relative weakness are shorted on the three-minute PSAR
COVER: when the close price moves above the 1, 3, and 5-minute PSAR, or the ADX DI- falls below 20
ALERTS
Alerts are generated on BUY, SELL, SHORT, and COVER signals, as well as optional LOST RELATIVE STRENGTH and LOST RELATIVE WEAKNESS
INPUTS
Use relative strength/weakness comparison with the market : trigger trades based on the ticker's strength or weakness to the selected comparison ticker (usually SPY for equities or BTCUSD for crypto)
Comparison Ticker for relative strength/weakness : Ticker to compare against for relative strength/weakness
Trade during market hours only : Take buy/sells during specified hours. Disable this for crypto trading.
Market hours (market time) : Customize market hours - defaults to 9:30 to 16:00 EST
"Only trade very strong trends" : take trades only if an established trend is very strong (ADX over 40) (DEFAULT = OFF)
"Limit trade direction to VWAP" : Long trades only above VWAP, shorts below (DEFAULT = ON)
"Limit trade direction to Market direction" : Long trades only if SPY (or selected comparison ticker) is up, shorts if the market is down. (DEFAULT= OFF)
"Limit trades based on a ticker's green/red status for the day" : Long trades if the ticker is green for the day, shorts if red. (DEFAULT = OFF)
Alien Brain👉 What is this indicator ?
This indicator is made up with the help of Multi Trend , Moving Average and Price Action , In this beautiful indicator, The buy and sell entry is taken by comparing the trend in the higher time frame with the Trend in the short time frame using our secret logic.
👉 What kind of Buy and Sell signal is there on this indicator ?
Four types of buy and sell signals are displayed on this indicator, each marked as M.Buy(Master Buy) , M.Sell (Master Sell) , Buy1, Sell1, Buy2 , Sell2, Buy3 and Sell3 respectively. These four types of indications are obtained by comparing the trend in the higher time frame with the Trend in the short time frame.
👉 What kind of Take Profit signal is there on this indicator ?
Four types of take profit signals are displayed on this indicator, each marked as TP1,TP2,TP3 and TP4 respectively. The take profit signals available for both buy and sell entries. The take profit of the buy entry is shown in Green Color and the take profit of the sell entry is shown in Red Color.
Note : Take Profit Signals Only Available for Master Buy and Master Sell
👉 What kind of Exit signal is there on this indicator ?
Exit signals can be seen at the end of the trend
Note : Exit Signals Only Available for Master Buy and Master Sell
👉 How many alarms does this indicator have ?
This indicator has 18 types of alarm for Buy , Sell , Take Profit and Exit signal, and it is best to set the alarm by selecting the Alert Once Bar Close option to avoid repaint.
👉 On which coins can this indicator be used ?
This indicator is best used on all cryptocurrencies, forex markets and stocks , This indicator is very helpful to get high returns on all cryptocurrencies with low price and high voltality
Note : This indicator only works well in 1 min time frame , Use appropriate values when using other coins. If you have difficulty finding the value, you can contact us.
Default Setup Instructions 👇
Time Frame : 1 Minute
Default Coin : OGNUSDT
The following settings can be found in this indicator
TOP BRAIN - Factor : This is the ATR Factor Value for High Time Frame trend. You can change this value according to the volatility, the ATR Factor value is also used to reduce the chance of a fake signal
MID BRAIN - Factor : This is the ATR Factor Value for Low Time Frame trend. You can change this value according to the volatility, the ATR Factor value is also used to reduce the chance of a fake signal
MID BRAIN - Threshold : This is the difference between price and moving average. Changing the value of this option will change the accuracy of the trading signal
LOW BRAIN - Factor : This is the ATR Factor Value for Second Low Time Frame trend.
Take Profit - TP1 Percentage : Give What percentage for take First TP of Master Signal
Take Profit - TP2 Percentage : Give What percentage for take Second TP of Master Signal
Take Profit - TP3 Percentage : Give What percentage for take Third TP of Master Signal
Take Profit - TP4 Percentage : Give What percentage for take Fourth TP of Master Signal
[VC] Wave Chart Index V1.0V.C Wave Chart Index
Richard D. Wyckoff created the first wave chart, and he instructed students to think in waves. He was an early 20th-century pioneer in the technical approach to studying the stock market and is considered one of the five "titans" of technical analysis, along with Dow, Gann, Elliott and Merrill.
V.C Wave Chart Index is the most comprehensive version of Wyckoff's theory. It is used to measure the strength & weakness of each market move by comparative data analysis. It draws waves on the chart based on Gann Swing theory. At the end of each wave, a label shows all the cumulative data & information of the wave.
With the help of this indicator, You can measure each swing or high/low movement of the market by comparing it with previous high/low price movements. The comparison can be made by using the following data of each wave.
Price Change
Volume Change
Delta Change
Delta % Change
Buy Volume
Sell Volume
Time Spent (Bar Counter)
V.C Wave Chart Index is not only an indicator but itself a unique & comprehensive tool kit to measure & compare each move of the market. This tool enables you to see deep inside each movement of the market. It allows you to observe the nitty-gritty data of each wave at the micro-level with your nacked eyes. With the help of Delta & (C.C) Close to Close Price Change, it is now easy to apply effort & result and cause & effect theory to your analysis. (total volume, buy volume, sell volume & delta % can also be used for comparative analysis)
V.C Wave Chart Index Properties
Price Change or (P.C): Shows the price Change of the Wave
Buy Volume (B.V): Shows the Cumulative Buy Volume of the Wave
Sell Volume (S.V): Shows the Cumulative Sell Volume of the Wave
Delta Volume (∆): Shows the Cumulative Buy - Sell Volume of the Wave
Delta % ∆ : Shows the Cumulative Delta % of the wave
Total Volume (T.V): Shows the Cumulative Total Volume of the Wave
Bar Count (B.C): Shows how much time it took to Complete the Wave
Swing Price: Shows the Reversal Price of the Wave
V.C Wave Chart Index Settings & Inputs Explained
Sensitivity (%): This input helps you adjust to the wave's steepness. 0.001 is my recommended value for all time frames.
Cumulation: This input helps you to control the length & formation of the wave: ( the fewer values = more wave formations & vice versa)
Wave Color: Allow you to change the color of the wave
Draw to Latest Candle: Allow you to show/hide the latest or real-time wave & data.
Divisor: Allow you to divide extensive numeric data into small numbers to read it easily.
Align Text: Allow you to align the text.
Size Text: Allow you to change the size of the text.
Display Toal Delta: Allow you to show or hide total Delta (∆).
Display Percentage Delta (%): Allow you to show or hide Delta (∆) %.
Color Wave Buy: Allow you to change the color.
Color Wave Sell: Allow you to change the color.
Display Total Volume (T.V): Allow you to show/hide total volume
Display Buy Volume (B.V): Allow you to show/hide buy volume
Display Sell Volume (S.V): Allow you to show/hide sell volume
Display Swing Price: Allow you to show/hide swing price
Display Swing Price Change (P.C): Allow you to show/hide price change
Display Close to Close Price Change (C.C): Allow you to show/hide close to close price changes. (previous wave close to current wave close) (recommended for comparative analysis)
P.C Format: Allow you to select the price formate
C.C Format: Allow you to select the price formate
Display Bar Counter (B.C): Allow you to show/hide the bar counter
Comparative Data Analysis Example in the light of Effort & Result Theory
A short explanation of the above analysis
On Wave A , the close to close price change (C.C) is $354 . (its the distance of price that price travelled from the low of the previous wave)
and price travelled this distance with 632 Delta (Delta is an effort which is used to travel the price)
On Wave B , close to close price change (C.C) is -$359 , almost the same distance as the previous wave. But for this distance price used 47% more Delta than the last wave. ( previous Delta is 632 , but current Delta is 931 that is 47% extra)
It indicates that sellers have put more effort in Wave B than Wave A . However, they got similar results as the previous wave. In other words
More Effort & Less Result = Reversal Sign
(that's why in the above example price reversed from a support level)
* Notice that Wave B is also on a key support area/level. And on key support or resistance area, this kind of comparative analysis can give an extra edge in your analysis.
Disclaimer Note:
V.C Wave Chart Index is not a BUY/SELL signal based indicator or a holy grail trading system.
It is purely Volume, Delta and comparative analysis based indicator. Before applying this indicator to your analysis, you should know about V.S.A, Volume, Delta & Spread.
Some basic understanding of Sir Richerd Wyckoff's Theory can also be helpful.
CRYPTO ECLIPSEWelcome to CRYPTO ECLIPSE!
If you see the market as a game between buyers and sellers, CRYPTO ECLIPSE is the EASY MODE.
Don't believe in any word I wrote, but please don't doubt about it until you TEST IT. Just go ahead and take your own conclusions, maybe this script changes your life, like it changed mine.
What would be like if you could see the markets through the eyes of a trader with many years of experience? (and If you are already this trader, you could add this as a live second opnion)
Imagine if you could consistently predcit buyers and sellers actions, attempts and rejections. That's what Price action technical analysis tries, but price action often feels like very subjective and to succeed and learn it, you will probably need at least 4 years of trading, winning and loosing to find consistancy, that's the process. CRYPTO ECLIPSE will show how you will see the market after this years spent, You''ll be skipping this years.
CRYPTO ECLIPSE is a setup that translates the market to you and give you the view of the market as it is, and not only how it was in the past. Differently from almost all other indicators i've seen in my life, CRYPTO ECLIPSE is a setup focused in PREDICT, not REACT. In my opnion that's why indicators not work well, they are too focused in the past, giving late decisions.
Truth be told, it's sounds good, but how do I use it?
I will explain you the main features, what you need to do is: Take some time to learn it, mess with the configs. Until you see the chart as you believe is the best predict scenario for the past, and then just sit and see how it will keep predicting the next moviments. Well, it works for me :)
Why am I renting this setup?
I am not. This is made for you to test for free, and for those who this setup makes all sense, we will build a small comunity around it. Just watch as we go, or Join us.
Before I forget, the setup is also a screener to track the 6 conditions above in the last 1-5 periods.
Main Features description:
BAR COLOR 2 = Strong Buyers domain(Candle's color)
BAR COLOR 3 = Strong Sellers domain(Candle's color)
BAR COLOR 0 e 1 = Fine Tuning(Advanced) There are 3 main ways to use it:
-Standard, following the same 2 and 3 bar colors.
-Changing both 0 and 1 bar colors. You can use Orange or pink or white colors for both 0 and 1, or other any color, try to use one that does not match with green or red for distinction. Consider the 0 and 1 bars as trend changing in course, or the breath of the market before a trend continuation (pullback).
Another option, that's indicated for Professionals only: change bar zero to dark green and 1 to a lighter red. This way you will see the gain and loose game in real time, take some time and you will see dark red going to lighter red will indicate a seller's weakness and the oposite for the buyers. If you are already a PRO, go ahead and play with these 2 options.
BP= STRONG BUYERS DOMAN
BPD= STRONG BUYERS DOMAN DECREASING
SP= STRONG SELLERS DOMAN
SPD= STRONG SELLERS DOMAN DECREASING
EB= POSSIBLE EARLY BUYERS DOMAIN SIGNAL
ES= POSSIBLE EARLY SELLERS DOMAIN SIGNAL
Note that BPD AND SPD are the same as EB and ES, I made this as a double entries so we can combine two different periods. If you look close you'll learn that the periods are related to the range of past periods you want to consider.
IF you pick a low period, it will show more signals, and it willl be more sensitive to the market changes. All the signals are real things that happened there, you will see that there was always a pullback or a consolidation, since this is very sensitive it's better to traders who want what's happening all the time
If you pick a high period, it will show less signals and with significant and strong movement, there are no guesses in this signals, if it did not proceed with a strong moviment, the opposite forces rejected their attempt.
Fit to your market point of view: Mess with the period numbers until you see the signals(arrows) where you understand is the best place to take a trade in the past, and watch it repeat the alert for you in the future, same as bar colors.
Note: If you want to enter only with big movements signals, use Stronger signals and high periods. if you want to try to get the movement begin, go with the early signals, using short periods.
Play with the configs until the chart give you the confidence you want to have to trade your money.
I don't recomend to use it with many indicators, if you add more than one indicator with this, you are probably insecure, and this will be useless to you.
But go ahead and add a trend indicator, if you are a trend trader or a oscillator, if you are a oscillator guy... Whatever you need until you feel confident.
Alway remember, this is only a tool. it's your decision, this is not a buy/sell indicator (maybe in the future), this is a tool to read the market. Always trade SPOT never FUTURES, always keep your stop loss as close as you can.
Enjoy the ECLIPSE
Fx Crusher Scalping Indicator V1█ OVERVIEW
Scalping Indicator with Buy and Sell Signals for the 15 min and 5 min Chart. Works on all assets (Crypto, Forex, Stocks, Indices, Commodities and Metals)
Only use in trending markets. Signals in a ranging market are useless.
This Scalping Indicator is different from others because most of the Buy/ Sell signals actually make sense. No counter trend trading and most signals can be very profitable when used right.The single most important goal was to have an indicator that shows signals with a big possible risk reward ratio. Most false signals are filtered out. The Fx Crusher Scalping Indicator is not perfect but it is amazing. You can customize the indicator to get the highest signal quality.
█ HOW DOES IT WORK?
The indicator determines the trend direction by using 3 different smoothed moving averages. A green background shows an uptrend and a red background shows a downtrend.
The strength of the trend is determined by the slope of the individual SMMAs. You can set the slope of every single SMMA for buys and sells individually.
The indicator only shows signals when there is a clear trend on the current timeframe.
Entry signals are generated by a combination of Williams fractals, SMMA crossover, trend angle and RSI condition.
█ HOW TO USE?
Draw Support & Resistance lines on the 4H Chart
Determine the overall trend on the 1H Timeframe
Go to the 15 min or 5 min Time Frame and have a look at the signals
Adjust the slope of every single SMMA in 0.01 steps until the signals look good
Adjust the RSI settings for overbought and oversold condition if necessary
Only enter a trade after the candle that prints a signal is closed.
Only take buy positions when all SMMAs are going up and don’t touch each other
Only take sell positions when all SMMAs are going down and don’t touch each other
Only use this Scalping Indicator with proper Risk management and a risk reward ratio of around 1:2.
Trail your stop to get the most pips out of the signals. Very often the indicator shows signals right before major moves.
█ ADDITIONAL INFO
Be careful with buy signals when the market on the higher timeframe (4H and 1H) is in a downtrend and vice versa.
You can make the most profit out of this Indicator when you enter with 2 positions. A quick scalp and a runner. Because there's a lot of signals with huge risk reward ratios but also some unprofitable signals . Therefore make sure you make the best out of the good signals and apply proper risk management to limit losses with bad signals. Stop loss placement according to market structure.
Multiple Signals in a row can show a high probability of a very strong upcoming move. Monitor your trades and secure partials to make the best out of it.
You can select how many signals it is going to show once trend conditions are met. Please be aware that the longer a trend goes, the higher is the probability of a reversal. Therefore the first few signals after all conditions are met are most likely the most profitable.
By setting the slope of the slow SMMA correctly you can filter out most signals in a ranging market.
█ DISCLAIMER
This is not financial advice. I do everything I can to provide the most accurate buy and sell signals for scalping but past results are no guarantee for future performance.
Multi-timeframe MAs + Stoch RSI SignalsHello traders,
I welcome you to my first published script on TradingView: “Multi-timeframe Moving Averages + Stochastic RSI”.
The script is based on a simple formula: Buy signals are generated when a fast moving average is above a slower moving average (uptrend) and the Stochastic RSI K line is crossing above the oversold level (entry).
Sell signals are generated when a fast moving average is below a slower moving average (downtrend) and the Stochastic RSI K line is crossing below the overbought level (entry).
This indicator works best in strong trends!
**Please note the above example has repainting turned on which may produce unrealistic results when viewing historical data. See below for more information regarding this and how you can turn it off.**
The user has the following inputs:
- Option to change the Stochastic RSI settings, including the oversold and overbought levels.
- Option to enter any value for both the Fast Moving Average and the Slow Moving Average.
- Option to change between EMA or SMA for each moving average.
- Multiple time frames to choose from, as well as the ability to selectively turn off individual time frames (both plots and alerts).
(Default time frames are 1 hour, 4 hour, and Daily. You can have a 4th time frame by changing your current time frame to something lower than the other 3 time frames)
- Turn on/off repainting: If repainting is turned on you will get an alert and buy/sell signal on chart immediately when condition is met, however the signal may disappear from chart if the condition reverses during the same candle.
If repainting is turned off, the indicator will wait for the candle to close before issuing the alert and painting the signal on chart.
For higher time frames, the indicator will wait for the candle in the higher time frame to close before issuing a signal if repaint is turned off. Default is set to Repaint on, so please be aware of this if you do not want repainting.
How to use alerts:
- Before you do anything, make sure your current time frame is the lowest time frame you’d like alerts on, as you will still receive alerts for the higher time frames you selected in settings.
- Once you have all the settings changed to how you like, save your chart first. Then right click on any of the indicator’s buy/sell signals on the chart and click “Add Alert on MAs + Stoch RSI”.
- Make sure “Any alert() function call” is selected under the Condition.
- You can delete or change the text in “Alert name” if you want as the alert message is already built into the indicator, and it will tell you in the alert message which asset and time frame to buy or sell.
Other things to note:
- The indicator will not display the buy/sell signals of lower time frames when you are on a higher time frame. This was done purposely to reduce clutter on the chart when you switch to higher time frames.
- While the alert message will tell you which time frame a signal was generated, the plots on the chart will instead show “Buy/Sell TF1, or TF2, or TF3”.
If the signal is from the current time frame that the alert was created on, then it will simply show “Buy” or “Sell”.
Hope you guys enjoy using this one, please drop a like if you found it useful. If anyone wants to modify my script in any way, please just credit me for the original work when you publish the script. Good luck!
Grid Bot RSIGrid Bot Simulator. Based on RSI levels.
How it works:
Prices are divided into grids, or trade zones, that are based on RSI levels. Buys will trigger when the RSI crosses into a higher zone, after descending. Sells will trigger when the RSI crosses into a lower zone, after ascending. After triggering, a new signal will not be produced until the RSI progresses into better zone.
Standard Settings :
RSI Length
Number of Grids
RSI Type : Standard RSI or Jurik RSX (based on Everget’s formula)
Show All Grids
Experimental Features (Adjust in settings menu) :
No Trade Zone : RSI Levels where no trades will be signaled. Adjust to prevent over-buying/selling in narrow markets. Default: 35-65:
No Trade Zone (40-60)
Aggression Level : Increase aggressiveness to stack buys/sells at extreme RSI levels:
Aggression = high
Aggression = low
Market Direction : If market is trending up, the bot will skip every other sell ( = more buys than sells). If down, will skip every other buy (more sells than buys). Default: neutral.
Market Direction: down
Market Direction: neutral
A Physicist's Bitcoin Trading Strategy
1. Summary
This strategy and indicator were designed for, and intended to be used to guide trading activity in, crypto markets, particularly Bitcoin. This strategy uses a custom indicator to determine the state of the market (bullish vs bearish) and allocates funds accordingly. This particular variation also uses the custom indicator to determine when the market is significantly oversold and takes advantage of the opportunity (it buys the dip). The specific mathematical formula that is used to calculate the underlying custom indicator allows the trader to get in before, or near the start of, the bull trends, and get out before the bear trends. The strategy's properties dialogue box includes many display settings and parameters for optimization and customization to meet the user's needs and risk tolerance; this is both a tool to gauge the market, as well as a trading strategy to beat the market. Guidelines for parameter settings are provided. A sample dataset of backtest results using randomized parameters, both within the guidelines and outside the guidelines, is available upon request; notably, all trials outperformed the intended market (Bitcoin) during the 9-year backtest period.
2. The Indicator and Strategy
2.1. The Indicator
A mathematical formula is used to determine the state of the market according to three different "frequencies", which, for lack of better terminology, are called fast, moderate, and slow indicators. There are two parameters for each of the three indicators, one called response time and the other is a simple look-back period. Finally, four exponential moving averages are used to smooth each indicator. In total, there are 18 different levels of bullishness/bearishness. The purpose of using three indicators, rather than one, is to capture the full character of the market, from a macro/global scope down to a micro/local scope. I.e. the full indicator looks at the forest, the trees, and the branches, simultaneously.
2.2. The Strategy
The trend-trading strategy is very simple; there are only four types of orders: 1) The entire position (e.g. all bitcoins held) is sold (if it hasn't already been totally sold) when the indicator becomes maximally bearish, 2) When the movement of the indicator is in the bullish direction, the strategy dollar-cost-average (DCA) buys at an exponentially decreasing rate, i.e. it buys more in the early stages of the transition from bear->bull. 3) When the indicator is maximally bullish, it goes "all-in" † (if it hasn't already gone all-in), i.e. it converts all available cash into the underlying security/token. And, 4) when the movement of the indicator is in the bearish direction, the strategy DCA sells (again, exponentially decreasing) to get out quickly. No leverage is used in this strategy. The strategy never takes a short position.
A second "buy-the-dip" strategy is also used, and it is the synergy of these two strategies, together, that is responsible for most of the outperformance in the backtests (this strategy handily beats the non-dip-buying variation in backtests). To do this, the custom indicator is used to determine when the market is significantly oversold on a short-term basis, and the strategy responds by DCA buying. However, unlike the DCA buying during bull/bear transitions, the buy-the-dip DCA buying increases with time. Specifically, within each candle that is short-term oversold, the strategy converts 10% x # of candles since becoming oversold (up to a max of 6 candles) of available cash into the underlying security/token. I.e. the first buy is 10% of available cash and occurs in the first oversold candle, the second buy is 20% of available cash and occurs in the second oversold candle, etc. up to six consecutive oversold candles. Lastly, to ensure no conflicting orders and no leverage (buying more than what is affordable with the available cash in the fund), buy-the-dip orders take precedence over the trend-trading orders enumerated in the previous paragraph.
† Technically the strategy goes 99.5% in when it goes "all-in". This is to ensure no leverage is used given that there may be a commission of 0.5%.
3. Backtest Results
Backtest results demonstrate significant outperformance over buy-and-hold. The default parameters of the strategy/indicator have been set by the author to achieve maximum (or, close to maximum) outperformance on backtests executed on the BTCUSD (Bitcoin) chart. However, significant outperformance over buy-and-hold is still easily achievable using non-default parameters. Basically, as long as the parameters are set to adequately capture the full character of the market, significant outperformance on backtests is achievable and is quite easy. In fact, after some experimentation, it seems as if underperformance hardly achievable and requires deliberately setting the parameters illogically (e.g. setting one parameter of the slow indicator faster than the fast indicator). In the interest of providing a quality product to the user, suggestions and guidelines for parameter settings are provided in section (6). Finally, some metrics of the strategy's outperformance on the BTCUSD chart are listed below, both for the default (optimal) parameters as well as for a random sample of parameter settings that adhere to the guidelines set forth in section (6).
Using the default parameters, relative to buy-and-hold strategy, backtested from August 2011 to August 2020,
Total cumulative outperformance (total return of strategy minus total return of buy-n-hold): 13,000,000%.
Rolling 1-year outperformance: mean 318%, median 84%, 1st quartile 55%, 3rd quartile, 430%.
Rolling 1-month outperformance: mean 2.8% (annualized, 39%), median -2.1%, 1st quartile -7.7%, 3rd quartile 13.2%, 10th percentile -13.9%, 90th percentile 24.5%.
Using the default parameters, relative to buy-and-hold strategy, during specific periods,
Cumulative outperformance during the past year (August 2019-August 2020): 37%.
12/17/2016 - 12/17/2017 (2017 bull market) absolute performance of 2563% vs buy-n-hold absolute performance of 2385%
11/29/2012 - 11/29/2013 (2013 bull market) absolute performance of 14033% vs buy-n-hold absolute performance of 9247%
Using a random sample (n=20) of combinations of parameter settings that adhere to the guidelines outlined in section (6), relative to buy-and-hold strategy, backtested from August 2011 to August 2020,
Average total cumulative outperformance, from August 2011 to August 2020: 2,000,000%.
Median total cumulative outperformance, from August 2011 to August 2020: 1,000,000%.
4. Limitations
This strategy is basically a DCA-swing trading strategy, and as such it is intended to be used on the 6-hr chart. Similar performance is expected on daily chart, 12-hr chart, and 4-hr chart, but performance is likely to be limited when used on charts of shorter time-frames. However, due to the flexibility afforded by the large quantity of parameters, as well as the tools included, it may be possible to tweak the indicator settings to get some outperformance on smaller time-frames. Admittedly, the author did not spend much time investigating this.
As is apparent in the backtests, this strategy has very limited absolute performance during large bear markets, such as Bitcoin's 2018 bear market. As described, it does outperform the underlying security by a large amount in backtests, but a large absolute return is unlikely during large and prolonged declines (unless, of course, your unit of account is the underlying token, in which case an outperformance of the underlying is, by definition, an absolute positive return).
This strategy is likely to underperform if used to trade ETFs of broad equity markets. This strategy may produce a small amount of outperformance when used to trade precious metals ETFs, given that the parameters are set optimally by the user.
5. Use
The default parameters have already been set for highly optimal backtest results on the chart of BTCUSD (Bitcoin / US Dollar BITSTAMP), (although, a different combination of parameter settings may yet produce better results). Still, there is a great number of combinations that can be explored, so the user is free to tweak the settings to meet his/her/their needs. Some display options are provided to give the user a visual aid while tweaking the parameters. These include a blue/red background display of the custom indicator, a calibration system, and options to display information about the backtest results. The background pattern represents the various levels of bullishness/bearishness as semi-transparent layers of blue and red, with blue corresponding with bullish and red corresponding with bearish.
The parameters that affect the indicator are the response times, the periods, and some EMA lengths. The parameters that affect the quantity of contracts (tokens/shares/bitcoins/etc) to be bought/sold are the transitionary buy/sell rates. There are also two sets of date parameters.
The response time and period parameters are direct inputs into the underlying math formula and are used to create the base-level indicators (fast, moderate, and slow). The response times control the speed of each of the three indicators (shorter is fast, longer is slower) and the period controls how much historical data is used in computation. Information about how these should be set are included in section (6). Another set of parameters control EMA look-back periods that serve to smooth the base-level indicators. Increasing these EMA lengths makes the overall indicator less sensitive to short-term price action, while reducing them does the opposite. The effect of these parameters are obvious when the background blue/red visualization is displayed. Another EMA length is an EMA for the entire indicator. Increasing this parameter reduces the responsiveness of the trading strategy (buy/sell orders) to quick/small changes of the overall level of the indicator, so as to avoid unnecessary buying and selling in times of relatively small and balanced price perturbations. Note, changing this parameter does not have an effect on the overall indicator itself, and thus will not affect the blue/red background representation.
The transitionary buy/sell rates control the portion of the available asset to be converted to the other. E.g. if the buy rate is set to 90%, then 90% of the available cash will be used to buy contracts/tokens/shares/bitcoins during transitions bullish transitions, e.g. if the available cash at the start of the bullish transition is $10,000 and the parameter is set to 90%, then $9,000 will be used to buy in the first candle during which the transition is bullish, then $900 will be used to buy in the second candle, then $90 in the third candle, etc.
There are two dates that can be set. The first is the date at which the strategy goes all in. This is included because the buy-and-hold strategy is the benchmark against which this strategy is compared, so setting this date to some time before the strategy starts to make trades will show, very clearly, the outperformance of the strategy, especially when the initial capital parameter in the Properties tab is equal to the price of one unit of the underlying security on the date that is set, e.g. all-in on Bitcoin on 8/20/2011 and set initial capital to the BTCUSD price on that date, which was $11.70. The second date is a date to control when the strategy can begin to place trades.
Finally (actually, firstly in the Inputs dialogue box), a set of checkbox inputs controls whether or not the backtest is on or off, and what is displayed. The display options are the blue/red (bull/bear) background layers †, a set of calibrators, a plot of the total strategy equity, a plot of the cash position of the strategy, a plot of the size of the position of the strategy in contracts/shares/units (labeled as BTC position), and a plot of the rolling 1-year performances of buy-and-hold and the strategy.
About the calibrators: The calibration system allows the user to quickly assess and calibrate how well the indicator... indicates. Quite simply, the system has two parts: one plot that is the cumulative sum of the product of the indicator level and the change in the underlying price, i.e. sum of ‡, over all candles. The second part is a similar plot that is reduced according to the quickness with which the indicator changes, i.e. sum of . Maximizing the first plot at the expense of the second will cause the indicator to match the price action very well but therefore it will change very rapidly, from bullish to bearish, which is visualized by a background pattern that changes frequently from blue to red to blue. Ignoring the first plot and maximizing the second will also cause the indicator to more closely match the price action, but the transitions will be slower and less frequent, and will therefore focus on identifying the major trends of the market.
† The blue/red background has many layers and will make the chart lag as the user interacts with it.
‡ Bearish states are coded as negative quantities, so a bearish state x negative price action = positive number, and bullish state x positive price action = positive number.
6. Suggestions and Guidelines
As described in section (2.1), the indicator used in this strategy was designed to determine the state of the market--whether it is bullish or bearish--as well as the change in the state of the market--whether it is increasingly bullish or increasingly bearish. As such, the following suggestions are provided based on the principles of the indicator's design,
1. Response Time 1 should be less than (<) Response Time 2 which should be < Response Time 3
2. Fast Period < Moderate Period < Slow Period
3. In terms of the period of a full market cycle (e.g. ~ 4 years for BTC, ~ 5.5 years for equities, etc.), response times 1, 2, and 3 should be about 0.3% to 1%, 3% to 20%, and 20% to 50% of a full market cycle period, respectively. However, this is a loose guideline.
4. In terms of the period of a full market cycle, periods 1, 2, and 3 should all be about 25% to 75% of a full cycle period. Again, this is a loose guideline.
4. EMA 1 Length < EMA 2 Length < EMA 3 Length < EMA 4 Length
5. EMA Lengths 1, 2, 3, and 4 should be limited to about 1/4th the length of a full market cycle. Note, EMA lengths are measured in bars (candles), not in days. 1/4th of 1000 days is 250 days which is 250 x 4 = 1000 6-hr candles.
The following guidelines are provided based on results of over 100 backtests on the BTCUSD chart using randomized parameters †,
1. 9 days < Response Time 1 < 14 days
2. 5 days < EMA 1 Length < 100 days
3. 600 days < EMA 4 length < 1000 days
4. The ratio of the EMA range (EMA 4 len - EMA 1 len) to the sum of EMA lengths (EMA 1 len + EMA 2 len + ...) be greater than 0.4
5. The ratio of the sum of EMA 1 and EMA 2 lengths to the sum of EMA 3 and EMA 4 lengths be less than 0.3.
A suggestion from the author: Given that backtests show a high degree of outperformance using the guidelines enumerated above, a good trading strategy may be to not rely on any one particular combination of parameters. Rather, a random set of combinations of parameter settings that adhere to the guidelines above could be used to create multiple instances of the strategy in a TradingView chart, each of which varies by a small amount due to their unique parameter settings. The proportion of the entire set of strategy instances that agree about the current state of the market could indicate to the trader the level of confidence of the indicator, in aggregate.
† A sample dataset of backtest results using randomized parameters is available upon request; notably, all trials outperformed the intended market (Bitcoin).
7. General Remarks About the Indicator
Other than some exponential moving averages, no traditional technical indicators or technical analysis tools are employed in this strategy. No MACD, no RSI, no CMF, no Bollinger bands, parabolic SARs, Ichimoku clouds, hoosawatsits, XYZs, ABCs, whatarethese. No tea leaves can be found in this strategy, only mathematics. It is in the nature of the underlying math formula, from which the indicator is produced, to quickly identify trend changes.
8. Remarks About Expectations of Future Results and About Backtesting
8.1. In General
As it's been stated in many prospectuses and marketing literature, "past performance is no guarantee of future results." Backtest results are retrospective, and hindsight is 20/20. Therefore, no guarantee can, nor should, be expressed by me or anybody else who is selling a financial product (unless you have a money printer, like the Federal Reserve does).
8.2. Regarding This Strategy
No guarantee of future results using this strategy is expressed by the author, not now nor at any time in the future.
With that written, the author is free to express his own expectations and opinions based on his intimate knowledge of how the indicator works, and the author will take that liberty by writing the following: As described in section (7), this trading strategy does not include any traditional technical indicators or TA tools (other than smoothing EMAs). Instead, this strategy is based on a principle that does not change, it employs a complex indicator that is based on a math formula that does not change, and it places trades based on five simple rules that do not change. And, as described in section (2.1), the indicator is designed to capture the full character of the market, from a macro/global scope down to a micro/local scope. Additionally, as described in section (3), outperformance of the market for which this strategy was intended during backtesting does not depend on luckily setting the parameters "just right." In fact, all random combinations of parameter settings that followed the guidelines outperformed the intended market in backtests. Additionally, no parameters are included within the underlying math formula from which the indicator is produced; it is not as if the formula contains a "5" and future outperformance would depend on that "5" being a "6" instead. And, again as described, it is in the nature of the formula to quickly identify trend changes. Therefore, it is the opinion of the author that the outperformance of this strategy in backtesting is directly attributable to the fundamental nature of the math formula from which the indicator is produced. As such, it is also the opinion of the author that continued outperformance by using this strategy, applied to the crypto (Bitcoin) market, is likely, given that the parameter settings are set reasonably and in accordance with the guidelines. The author does not, however, expect future outperformance of this strategy to match or exceed the outperformance observed in backtests using the default parameters, i.e. it probably won't outperform by anything close to 13,000,000% during the next 9 years.
Additionally, based on the rolling 1-month outperformance data listed in section (3), expectations of short-term outperformance should be kept low; the median 1-month outperformance was -2%, so it's basically a 50/50 chance that any significant outperformance is seen in any given month. The true strength of this strategy is to be out of the market during large, sharp declines and capitalizing on the opportunities presented at the bottom of those declines by buying the dip. Given that such price action does not happen every month, outperformance in the initial months of use is approximately as likely as underperformance.
9. Access
Those who are interested in using this strategy may send a personal message to inquire about how to gain access. Those who are interested in acquiring the sample dataset of backtest results may send a personal message to request a copy of the data.
lineAlertslineAlerts is a powerful tool to define Buys, Sells and Buy-Sell lines for repeating actions.
The possibilities vary from 1 Buy and/or Sell to repetitive Buying and Selling at definable lines from a specified point in time (Year, Month, Day and Hour to begin).
lineAlerts provides:
+ optional StartBuy and optional EndSell
+ in repeat mode: optional definable ending-action (Buy or Sell, which overwrites Stop-Out/Abort)
+ buy- and sell Lines can be angled separately by using non-zero entries in the Angle %perDay parameter
+ configurable Stop Loss (Percentage, Stop-Out/Abort-Only, Flat or Angled like Buy-Sell-Lines)
+ profit calculation and effective alerts can be set further than the beginning time (ActiveAfter#Hours)
+ empty-bar-correction for lower-liquidity pairs on short timescales (automatically on)
+ optional visual extension to the right for currently active buy-sell lines
+ Slippage Max. Percentage parameter, added to order price for Buying, subtracted for Selling
(represented in the Buy-Sell markings and LastPrice lines, also calculated in Profit/Loss percentages)
+ Full Autoview Alerts automation in the Order parameters (for spot trading, this can be replaced with
your own API commands while creating or modifying the TradingView alerts):
- Separate order size entries for Buying and Selling
- Choice between Percentage or absolute Amount for both Buying and Selling
(choose the corresponding alert-drop-down option when creating an alert!)
The timeframe for running lineAlerts depends on the scale (duration) of the defined pattern.
Running on a very small resolution, e.g. 1-5 Min, is suitable for a pattern of a few days to a week at most.
This is because of the limited available historic data. Keeping your pattern lines shorter than a week on these micro-timeframes will produce accurate results/output. A pattern which may last a few weeks or even months can run flawlessly on a 1H resolution for example.
"Once per bar" is the best alert option in any case. To avoid multiple signals within 1 bar in highly volatile times, it is better to create the alert on the 1 or 4 Hour chart in stead of the daily chart for a pattern of multiple weeks for example.
lineAlerts is suitable for any timeframe on any chart which is open 24/7, like most crypto currencies.
My other published indicators contain a handy combination of new and classical indicators and oscillators.
With lineAlerts, the one defining the lines is in complete control. Results might indicate how good one is at defining trade patterns and at defining suitable stop losses, but lineAlerts is not an indicator as such.
lineAlerts is more something like a visually definable price-line alerter with various stop loss and ending options. There will be a video available with some more explaining.
WARNING:
Note that if an Autoview extension is active for the charted exchange and the according TradingView alerts are activated, it works right out of the box, so make sure to have all order decimals right...
GuidoN - December 2019, July 2020
Jackrabbit.modulus.DCAThis is the Dollar Cost Averaging (DCA) for the Jackrabbit suite and modulus framework.
The blue line is the current average price of the asset.
The red line is the deviation boundary. Price action must be below this line for buys to be signaled.
The green line is the take profit. Price action must be above this line for a sell signal to be generated.
Here is a list of the settings:
Buy method: DCA or Strategy. DCA allows the module to decide buys based upon the methodology (step, price). Strategy added to the average on the basis of a buy signal from the strategy, but only when it is below the deviation and is the most organic of dollar cost averaging.
Sell Method. Take profit or Steategy. Take Profit sells the asset as soon as the price action crosses above the take profit line. Strategy sells on the basis of a sell signal, but only if it is above the take profit. Selling never occurs at a loss, with the only exception being the exit point.
Methodolgy: Step or Price. Stepping allows a fixed and uniform averaging ant percise intervals of deviation. Price is a very aggressive approach that will drive the average down on the basis of the difference between the average and the current price action. The price methodology is VERY high risk.
Take Profit, which describes the average profit percent of the combined positions.
Deviation, which describes the percent boundary for which price action must drop before additional assets are purchased.
Sideways Breaker: This algorithm breaks the sideways rut by forcing a purchase after X days, minimum 1 day.
Exit Position: Internal stop loss expressed in the number of buys.
It is important that when you establish your sell signal, ALL positions must be sold to ensure the average profit. If required, use a CLOSE ALL message provided by your platform. Also, any platform specific DCA or Safety Orders will cause losses as this script can not track their value. It is recommended that these features not be used.
The Jackrabbit modulus framework is a plug in play paradigm built to operate through TradingView's indicator on indicatior (IoI) functionality. As such, this script receives a signal line from the previous script in the IoI chain, and evaluates the buy/sell signals appropriate to the current analysis.
This script is by invitation only. To learn more about accessing this script, please see my signature or send me a PM. Thank you.
™TradeChartist Rubicon™TradeChartist Rubicon is a beautifully designed functional indicator that helps traders enter and exit Long or Short trades with ease.
This indicator is aptly named Rubicon as it studies the candles in the River of Rubicon (Flat Blue River that never stops flowing up and down the chart) through the Lands of Rubicon to find out which army ( Bulls or Bears ) is committing itself to crossing the River and its tides. By doing this for every price candle, the indicator generates BUY and SELL signals along with Targets and real-time Gains on the chart.
What does the ™TradeChartist Rubicon Indicator do?
Plots very high probability BUY and SELL signals on chart
-- Real-time signals are plotted in Orange labels. (Note: Real-time signals repaint. So wait for confirmation before taking a trade position. This feature is included based on feedback from a few traders as some of them like to see a potential direction based on developing candle, its RSI, Stochastic etc.)
-- Confirmed signals are plotted in Green labels for BUY and Red labels for SELL. These signals don't repaint and can be used confidently to enter or exit a trade.
-- Option to choose type of trade opportunity from indicator settings namely - Long trades, Short trades or both, based on which the chart background colour will be green for duration of long trades or red for duration of short trades.
-- Intermediate signals are also plotted between the primary BUY and SELL signals which can be used for re-entry, scalping etc if the opportunity to enter trade at Primary signal was missed. These secondary signals marked as B and S with arrows can be deactivated from indicator settings.
Plots Target levels as soon as BUY or SELL signal is confirmed on chart.
-- These levels can be used as support and resistance levels too.
-- The first 3 TP levels can be used as a litmus test to trade higher levels as the likelihood of price hitting higher profit levels significantly increase when price crosses the first 3 smaller levels.
-- The performance of the current signal can be tracked by using the Show Gains from Primary Signal and the past signals can be accessed by checking Show Past Performance option from Indicator Settings.
Plots % Gains based on candle close in real-time and Max % Gains based on highest since the BUY signal or lowest since the SELL signal. The entry price is normally plotted along with the signals and is an indicative price based on breached resistance. Traders may choose to buy at Market Price or Limit Price based on the price movement at the time of signal generation.
Plots Bulls/Bears waiting price points for chart time-frame if activated from settings. (Default - Not Active)
Automatically plots Bull and Bear power labels along with visually painting the Bull or Bear power on the Lands of Rubicon.
Plots RSI colour candles based on user preferred Overbought and Oversold RSI levels from indicator settings. (Default - 60 Overbought and 30 Oversold)
What markets can this indicator be used on?
Forex
Stocks - works best with 4hr or above and prices calculated taking gaps into account.
Commodities
Cryptocurrencies
and almost any asset on Trading View
Works really well when there is good volume , volatility or both in the asset observed/traded.
What time-frames can this indicator be used on?
This indicator can be used on 1m, 3m, 5m, 10m, 15m, 30m, 1hr, 2hr, 3hr, 4hr, 6hr, 8hr, 12hr, Daily, Weekly, Bi-Weekly and Monthly time-frames. Signal generation based on value, volume and volatility. If an asset has very little volume or is far low in comparative value against the base currency, there can be far too many erratic signals but with most assets, this won't be an issue.
Does this indicator repaint?
No and Yes
-- Once the confirmed BUY (in green) and SELL (in red) signals are posted after a candle close, it doesn't repaint.
-- Repainting happens for real time Orange label BUY and SELL signal on the current candle. Some traders prefer to see the developing signal and trade using RSI, Stochastic etc.
Does the indicator send alerts when a signal is generated?
Yes, traders can get alerts by setting Trading View alerts for BUY/SELL Signals and when a new Profit Target is achieved. For confirmed BUY/SELL alerts, 'Once per bar close' must be used.
Real-time BUY and SELL trigger alerts can also be set using 'Once per bar' or 'Once per minute' as alert frequency.
Some Examples of trades using ™TradeChartist Rubicon indicator
GOLD short trade and Long trade scalping on 15m
GOLD on Daily
SUGAR-USD on 15m
AUD-USD on 5m
LEND-BTC alt pair on Daily
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This is not a free to use indicator. Get in touch with me if you would like access to the indicator for a free trial before deciding on a paid access for a period of your choice.
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BoneDry Modified StrategyThis is a modified version of the BoneDry strategy (developed by BoneDryCalves), a popular strategy used with the Cryptohopper trading bot. The strategy uses DCA to make purchases, buying when the closing price falls below the lower bollinger band and a set RSI oversold threshold. It sells at a set % profit.
The original settings for BoneDry are as follows:
RSI period – 4
RSI Oversold Threshold – 37
Bollinger Bands Period – 22
Bollinger Band Upper Deviation – 2
Bollinger Band Lower Deviation – 2
Bollinger Band MA-Type – SMA (many use KAMA or TRIMA)
RSI Period – 4
RSI Oversold Threshold - 37
The differences with this script from the original strategy:
Instead of buying when the price drops below the lower bollinger band, it buys when a moving average crosses above it. This reduces the total amount of purchases and hopefully makes better buys.
Multiple moving average types for the Buy/Sell line are available, and the source of the MA can be changed.
Instead of selling at set percentage it sells when the MA crosses below the upper bollinger band. The intent of this is to exit out at better times for more profit and reduce losses.
The source for the bollinger band can be changed. It was hoped that by allowing this, an additional few percent profit could potentially be squeezed out.
Heikin-Ashi Candles are available as an option.
The displayed chart uses the following settings (there are likely better settings):
Length – 22
BB source – close
STDdev Upper-2.2
STDdev Lower-2.2
BB MA Type – KAMA
LMSA Offset – 1
RSI Period – 8
RSI Source – close
RSI Buy-In Value – 34
MA Type For Buy And Sell Line – LSMA
Buy and Sell Line Length – 2
Buy And Sell Line Source – close
The time period tested is from 4/20/2018 to 5/9/2019
Volume Profile + VAH, VAL, and POCWhat it is
A clean, on-chart volume profile that approximates your visible range using a configurable Bars Back window. It builds a horizontal histogram of volume by price, splits each price bin into Buy vs Sell volume, draws POC, and computes Value Area High/Low (VAH/VAL). A Stealth Mode toggle switches to a subtle grayscale palette for low-key charts.
Why this instead of the built-in VPVR?
Buy/Sell split per bin: See which prices were defended by buyers vs sellers, not just total volume.
Value Area from POC outward: Classic expansion method until the selected % of total volume (default 70%).
Sleek borders & Stealth Mode: Crisp bin outlines and a one-click professional colorway.
Deterministic & fast: No sessions or anchors needed—set your Bars Back and go.
How it works (under the hood)
Window selection – Pine can’t read your viewport, so we approximate it with Bars Back (user input).
Binning – The window’s price range is divided into N bins.
Volume allocation – For each bar in the window:
Distribute Across Hi–Lo (optional): Spread volume across all bins the bar overlaps, weighted by overlap; or
Single-price mode: Assign all volume to one bin using a representative price (hlc3).
Buy/Sell split (two methods):
Body Proportional (recommended): Split by relative up/down body size (|close−open|).
Up/Down Candle: 100% buy if close ≥ open, else 100% sell.
POC & VA: Point of Control is the bin with max total volume. VAH/VAL expands from POC toward the higher-volume neighbor until the selected % of total volume is included.
Reading the visuals
Horizontal bars (right side): Total volume per price bin.
Left sub-segment = Sell volume
Right sub-segment = Buy volume
POC line: Price level with peak total volume.
VAH / VAL (dashed): Upper and lower bounds of the selected Value Area.
Borders: Each bin has a clean outer outline so the profile looks tight and organized.
Stealth Mode: Grayscale palette that preserves contrast without loud colors.
Key inputs (organized for clarity)
Theme
Stealth Mode: Toggles the grayscale look.
Core
Price Bins: Vertical resolution of the profile.
Lookback (Bars): Approximates your visible range.
Style
Profile Width (bars): How far the histogram extends to the right.
Bin Border Width: Outline thickness.
Markers & Lines
Show POC, Show VAH/VAL, Value Area %, VA line width.
Advanced
Distribute Volume Across Hi–Lo: More accurate, heavier compute.
Buy/Sell Split Method: Body Proportional (realistic) or Up/Down (simple).
Tips & best practices
Start with Body Proportional + Distribute Across ON for intraday accuracy.
If the chart lags, reduce Price Bins or Bars Back, or switch off distribution.
For small windows, fewer bins often looks cleaner (e.g., 30–60).
Stealth Mode plays nicely with both dark and light chart themes.
Limitations & notes
Viewport: Pine can’t access the actual visible bars; Bars Back is a practical stand-in.
Buy/Sell split: This is an approximation from candle bodies, not true bid/ask delta.
Designed for overlay; profile renders to the right of the latest bar.
CVD Polarity Indicator (With Rolling Smoothed)📊 CVD Polarity Indicator (with Rolling Smoothing)
Purpose
The CVD Polarity Indicator combines Cumulative Volume Delta (CVD) with price bar direction to measure whether buying or selling pressure is in agreement with price action. It then smooths that signal over time, making it easier to see underlying volume-driven market trends.
This indicator is essentially a volume–price agreement oscillator:
- It compares price direction with volume delta (CVD).
- Translates that into per-bar polarity.
- Smooths it into a rolling sum for clarity.
- Adds a short EMA to highlight turning points.
The end result: a tool that helps you see when price action is backed by real volume flows versus when it’s running on weak participation.
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1. Cumulative Volume Delta (CVD)
What it is:
CVD is the cumulative sum of buying vs. selling pressure measured by volume.
- If a bar closes higher than it opens → that bar’s volume is treated as buying pressure (+volume).
- If a bar closes lower than it opens → that bar’s volume is treated as selling pressure (–volume).
Rolling version:
Instead of accumulating indefinitely (which just creates a line that trends forever), this indicator uses a rolling sum over a user-defined number of bars (cumulation_length, default 14).
- This shows the net delta in recent bars, making the CVD more responsive and localized.
2. Bar Direction vs. CVD Change
Each bar has two pieces of directional information:
1. Bar direction: Whether the candle closed above or below its open (close - open).
2. CVD change: Whether cumulative delta increased or decreased from the prior bar (cvd - cvd ).
By comparing these two:
- Agreement (both up or both down):
→ Polarity = +volume (if bullish) or –volume (if bearish).
- Disagreement (bar up but CVD down, or bar down but CVD up):
→ Polarity flips sign, signaling divergence between price and volume.
Thus, raw polarity = a per-bar measure of whether price action and volume delta are in sync.
3. Polarity Smoothing (Rolling Polarity)
- Problem with raw polarity:
It flips bar-to-bar and looks very jagged — not great for seeing trends.
- Solution:
The indicator applies a rolling sum over the past polarity_length bars (default 14).
- This creates a smoother curve, representing the net polarity over time.
- Positive values = net bullish alignment (buyers stronger).
- Negative values = net bearish alignment (sellers stronger).
Think of it like an oscillator showing whether buyers or sellers have had control recently.
4. EMA Smoothing
Finally, a 10-period EMA is applied on top of the rolling polarity line:
- This further reduces noise.
- It helps highlight shifts in the underlying polarity trend.
- Crossovers of the polarity line and its EMA can serve as trade signals (bullish/bearish inflection points).
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How to Read It
1. Polarity above zero → Recent bars show more bullish agreement between price and volume.
2. Polarity below zero → Recent bars show more bearish agreement.
3. Polarity diverging from price → If price goes up but polarity trends down, it signals weakening buying pressure (potential reversal).
4. EMA crossovers →
- Polarity crossing above its EMA = bullish momentum shift.
- Polarity crossing below its EMA = bearish momentum shift.
Practical Use Cases
- Trend Confirmation
Use polarity to confirm whether a price move is supported by volume. If price rallies but
polarity stays negative, the move is weak.
- Divergence Signals
Watch for divergences between price trend and polarity trend (e.g., higher highs in price but
lower highs in polarity).
- Momentum Shifts
Use EMA crossovers as signals that the underlying balance of buying/selling has flipped.
CandelaCharts - Dip Index 📝 Overview
The Dip Index (DIPX) is a market breadth oscillator designed to identify market dips by measuring the percentage of assets within a chosen index or asset class that are trading above a specified moving average (such as the 50, 100, 150, or 200-period).
By highlighting when fewer assets remain above their averages, DIPX helps traders detect potential dip opportunities and assess overall market strength or weakness.
While commonly applied to equities, the indicator is adaptable to various financial instruments, including exchange-traded funds (ETFs), commodities, cryptocurrencies, and even fixed-income securities.
Assess the overall health of a market by measuring internal participation in price moves.
Detect overbought or oversold conditions when momentum becomes concentrated or overly extended.
Generate actionable signals when the index exits extreme levels, suggesting renewed momentum or potential exhaustion.
📦 Features
Multiple Indices: Supports SP500, Nasdaq, DJI, Russel2000, and sector-specific S&P indices.
Dynamic MA Selection: Choose from SMA, EMA, RMA, WMA, VWMA with configurable lengths.
Visual Customization: Full control over colors, line styles, text size, and branding.
Signal Markers: Triangle markers appear when exiting overbought/oversold zones.
Gradient & Background Fill: Visual highlighting of extreme market conditions.
Overlay Mode Option: Can display OB/OS background as chart overlay.
⚙️ Settings
Market: Chooses the index or asset class to measure.
MA: Enables moving average filter; options include type (SMA, EMA, etc.) and period length.
Oversold: Defines the lower threshold (default: 20) with customizable color.
Overbought: Defines the upper threshold (default: 80) with customizable color.
DIPX Line: Sets the thickness and color of the Dip Index line.
Mode: Selects display type (Line, Cross, Circle, Stepline, etc.).
Signals: Toggles buy/sell signal markers with customizable colors.
OB/OS Zones: Enables highlighting of Overbought/Oversold zones.
OB/OS Overlay: Toggles overlay shading for Overbought/Oversold zones.
⚡️ Showcase
Overbought/Oversold
Modes
Overbought/Oversold Zones
Signals
Overlay
📒 Usage
How to use DIPX effectively in trading and analysis, including interpretation, signal usage, strategic applications, and best practices.
DIPX outputs values from 0% to 100%, reflecting how widely participation extends across the underlying assets in an index or basket.
1. Assessing Market Health
Use DIPX to evaluate whether price moves are supported by broad participation:
In a bull trend, confirm strength by checking if DIPX stays above 50%.
In a bear trend, watch for rebounds in DIPX to spot temporary relief rallies.
2. Detecting Divergences
Divergence occurs when the price trend and DIPX trend disagree — often a precursor to reversal.
Bearish Divergence: Price makes higher highs; DIPX makes lower highs -> Momentum weakening - potential top
Bullish Divergence: Price makes lower lows; DIPX makes higher lows -> Selling pressure fading - potential bottom
How to Spot It:
Overlay DIPX on the same chart as the index price.
Use trendlines or horizontal markers to compare swing points.
Focus on weekly or daily timeframes for reliability.
3. Signal-Based Entries/Exits
When enabled (Signals = true) , DIPX generates triangle markers when exiting extreme zones:
Bullish Triangle (▲): DIPX crosses above Oversold Value (e.g., 20%, 30%) -> Green upward triangle
Bearish Triangle (▼): DIPX crosses below Overbought Value (e.g., 80%, 70%) -> Red downward triangle
4. Timeframe Guidance
1m – 4h: ❌ Not Recommended - DIPX uses daily-aggregated data;
Daily (D): ✅ Strongly Recommended - Matches data frequency; clearest signals
Weekly (W): ✅ Acceptable - Ideal for macro analysis and long-term positioning
Monthly (M): ⚠️ Limited Use - Too slow for active trading; useful for big-picture context
By integrating DIPX into your analysis, you gain a powerful lens into market internals — helping you distinguish between broad-based strength and narrow leadership, regardless of asset class.
🚨 Alerts
The indicator does not provide any alerts!
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
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BecakFloatingPanelsLibrary "BecakFloatingPanels"
Library for creating floating indicator panels with MACD, RSI, and Stochastic indicators
calculateMacd(source, fastLength, slowLength, signalLength)
Calculate MACD components
Parameters:
source (float) : Price source for calculation
fastLength (simple int) : Fast EMA period
slowLength (simple int) : Slow EMA period
signalLength (simple int) : Signal line period
Returns: MacdData MACD calculation results
calculateRsi(source, length)
Calculate RSI
Parameters:
source (float) : Price source for calculation
length (simple int) : RSI period
Returns: float RSI value
calculateStochastic(source, high, low, kLength, kSmoothing, dSmoothing)
Calculate Stochastic components
Parameters:
source (float) : Price source for calculation
high (float) : High prices
low (float) : Low prices
kLength (int) : %K period
kSmoothing (int) : %K smoothing period
dSmoothing (int) : %D smoothing period
Returns: StochData Stochastic calculation results
calculateStochSignals(stochK, stochD, overboughtLevel, oversoldLevel)
Calculate Stochastic signals
Parameters:
stochK (float) : Stochastic %K series
stochD (float) : Stochastic %D series
overboughtLevel (float) : Overbought threshold
oversoldLevel (float) : Oversold threshold
Returns: StochSignals Signal flags
calculateChartMetrics(high, low, lookbackLength)
Calculate chart range and positioning metrics
Parameters:
high (float) : High prices
low (float) : Low prices
lookbackLength (int) : Lookback period
Returns: ChartMetrics Chart positioning data
calculateMacdRange(macdLine, signalLine, histogram, safeLookback)
Calculate MACD range for normalization
Parameters:
macdLine (float) : MACD line series
signalLine (float) : Signal line series
histogram (float) : Histogram series
safeLookback (int) : Lookback period
Returns: MacdRange MACD range metrics
initVisualArrays()
Initialize visual arrays
Returns: VisualArrays Container with initialized arrays
clearVisuals(visuals)
Clear all visual elements
Parameters:
visuals (VisualArrays) : VisualArrays container
Returns: void
calculatePanelPositions(chartMetrics, oscPlacement, panelHeight, panelSpacing, centerOffset)
Calculate panel positions based on placement option
Parameters:
chartMetrics (ChartMetrics) : Chart metrics object
oscPlacement (string) : Panel placement option
panelHeight (float) : Panel height percentage
panelSpacing (float) : Panel spacing percentage
centerOffset (float) : Center offset percentage
Returns: PanelPositions Panel boundary coordinates
createPanelBackgrounds(visuals, positions, panelLeft, panelRight, showBackground, transparency)
Create panel backgrounds
Parameters:
visuals (VisualArrays) : VisualArrays container
positions (PanelPositions) : PanelPositions object
panelLeft (int) : Left boundary
panelRight (int) : Right boundary
showBackground (bool) : Show background flag
transparency (int) : Background transparency
Returns: void
drawReferenceLines(visuals, positions, chartMetrics, macdRange, dataLeft, dataRight, panelHeight, rsiOverbought, rsiOversold, stochOverbought, stochOversold)
Draw reference lines for all panels
Parameters:
visuals (VisualArrays) : VisualArrays container
positions (PanelPositions) : PanelPositions object
chartMetrics (ChartMetrics) : ChartMetrics object
macdRange (MacdRange) : MacdRange object
dataLeft (int) : Left data boundary
dataRight (int) : Right data boundary
panelHeight (float) : Panel height percentage
rsiOverbought (int) : RSI overbought level
rsiOversold (int) : RSI oversold level
stochOverbought (int) : Stochastic overbought level
stochOversold (int) : Stochastic oversold level
Returns: void
drawMacdIndicator(visuals, macdLine, signalLine, histogram, macdRange, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight)
Draw MACD indicator
Parameters:
visuals (VisualArrays) : VisualArrays container
macdLine (float) : MACD line series
signalLine (float) : Signal line series
histogram (float) : Histogram series
macdRange (MacdRange) : MacdRange object
positions (PanelPositions) : PanelPositions object
chartMetrics (ChartMetrics) : ChartMetrics object
barIndex (int) : Current bar index
nextBarIndex (int) : Next bar index
barIndexOffset (int) : Horizontal offset
panelHeight (float) : Panel height percentage
Returns: void
drawRsiIndicator(visuals, rsiValue, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight)
Draw RSI indicator
Parameters:
visuals (VisualArrays) : VisualArrays container
rsiValue (float) : RSI value
positions (PanelPositions) : PanelPositions object
chartMetrics (ChartMetrics) : ChartMetrics object
barIndex (int) : Current bar index
nextBarIndex (int) : Next bar index
barIndexOffset (int) : Horizontal offset
panelHeight (float) : Panel height percentage
Returns: void
drawStochasticIndicator(visuals, stochK, stochD, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight, stochOverbought, stochOversold)
Draw Stochastic indicator
Parameters:
visuals (VisualArrays) : VisualArrays container
stochK (float) : Stochastic %K series
stochD (float) : Stochastic %D series
positions (PanelPositions) : PanelPositions object
chartMetrics (ChartMetrics) : ChartMetrics object
barIndex (int) : Current bar index
nextBarIndex (int) : Next bar index
barIndexOffset (int) : Horizontal offset
panelHeight (float) : Panel height percentage
stochOverbought (int) : Overbought level
stochOversold (int) : Oversold level
Returns: void
addStochasticSignals(visuals, buySignal, sellSignal, positions, chartMetrics, currentBarIndex, barIndexOffset, panelHeight, signalIndex)
Add Stochastic buy/sell signals
Parameters:
visuals (VisualArrays) : VisualArrays container
buySignal (bool) : Buy signal series
sellSignal (bool) : Sell signal series
positions (PanelPositions) : PanelPositions object
chartMetrics (ChartMetrics) : ChartMetrics object
currentBarIndex (int) : Current bar index
barIndexOffset (int) : Horizontal offset
panelHeight (float) : Panel height percentage
signalIndex (int) : Signal index for lookback
Returns: void
setPanelLabels(macdLabel, rsiLabel, stochLabel, positions, chartMetrics, labelOffset, panelHeight, barIndexOffset)
Set panel title labels
Parameters:
macdLabel (label) : MACD label reference
rsiLabel (label) : RSI label reference
stochLabel (label) : Stochastic label reference
positions (PanelPositions) : PanelPositions object
chartMetrics (ChartMetrics) : ChartMetrics object
labelOffset (int) : Label horizontal offset
panelHeight (float) : Panel height percentage
barIndexOffset (int) : Horizontal offset
Returns: void
showDebugInfo(chartMetrics, debugMode)
Display debug information
Parameters:
chartMetrics (ChartMetrics) : ChartMetrics object
debugMode (bool) : Debug mode flag
Returns: void
ChartMetrics
Chart metrics container
Fields:
visibleHigh (series float) : Highest visible price
visibleLow (series float) : Lowest visible price
chartRange (series float) : Price range of chart
chartCenter (series float) : Center point of chart
MacdData
MACD calculation results
Fields:
macdLine (series float) : Main MACD line
signalLine (series float) : Signal line
histogram (series float) : MACD histogram
MacdRange
MACD range metrics for normalization
Fields:
highest (series float) : Highest MACD value
lowest (series float) : Lowest MACD value
BRange (series float) : Total range
StochData
Stochastic calculation results
Fields:
k_smooth (series float) : Smoothed %K line
d (series float) : %D line
StochSignals
Stochastic signals
Fields:
buySignal (series bool) : Buy signal flag
sellSignal (series bool) : Sell signal flag
PanelPositions
Panel positioning data
Fields:
macdTop (series float) : MACD panel top
macdBottom (series float) : MACD panel bottom
rsiTop (series float) : RSI panel top
rsiBottom (series float) : RSI panel bottom
stochTop (series float) : Stochastic panel top
stochBottom (series float) : Stochastic panel bottom
VisualArrays
Visual elements arrays container
Fields:
macdLines (array) : Array of MACD lines
macdHist (array) : Array of MACD histogram boxes
rsiLines (array) : Array of RSI lines
stochLines (array) : Array of Stochastic lines
stochAreas (array) : Array of Stochastic areas
stochSignals (array) : Array of Stochastic signals
panelBackgrounds (array) : Array of panel backgrounds
Wickless Tap Signals Wickless Tap Signals — TradingView Indicator (v6)
A precision signal-only tool that marks BUY/SELL events when price “retests” the base of a very strong impulse candle (no wick on the retest side) in the direction of trend.
What it does (in plain English)
Finds powerful impulse candles:
Bull case: a green candle with no lower wick (its open ≈ low).
Bear case: a red candle with no upper wick (its open ≈ high).
Confirms trend with an EMA filter:
Only looks for bullish bases while price is above the EMA.
Only looks for bearish bases while price is below the EMA.
Waits for the retest (“tap”):
Later, if price revisits the base of that wickless candle
Bullish: taps the candle’s low/open → BUY signal
Bearish: taps the candle’s high/open → SELL signal
Optional level “consumption” so each base can trigger one signal, not many.
The idea: a wickless impulse often marks strong initiative order flow. The first retest of that base frequently acts as a springboard (bull) or ceiling (bear).
Exact rules (formal)
Let tick = syminfo.mintick, tol = tapTicks * tick.
Trend filter
inUp = close > EMA(lenEMA)
inDn = close < EMA(lenEMA)
Wickless impulse candles (confirmed on bar close)
Bullish wickless: close > open and abs(low - open) ≤ tol
Bearish wickless: close < open and abs(high - open) ≤ tol
When such a candle closes with trend alignment:
Store bullTapLevel = low (for bull case) and its bar index.
Store bearTapLevel = high (for bear case) and its bar index.
Signals (must happen on a later bar than the origin)
BUY: low ≤ bullTapLevel + tol and inUp and bar_index > bullBarIdx
SELL: high ≥ bearTapLevel - tol and inDn and bar_index > bearBarIdx
One-shot option
If enabled, once a signal fires, the stored level is cleared so it won’t trigger again.
Inputs (Settings)
Trend EMA Length (lenEMA): Default 200.
Use 50–100 for intraday, 200 for swing/position.
Tap Tolerance (ticks) (tapTicks): Default 1.
Helps account for tiny feed discrepancies. Set 0 for strict equality.
One Signal per Level (oneShot): Default ON.
If OFF, multiple taps can create multiple signals.
Plot Tap Levels (plotLevels): Draws horizontal lines at active bases.
Show Pattern Labels (showLabels): Marks the origin wickless candles.
Plots & Visuals
EMA trend line for context.
Tap Levels:
Green line at bullish base (origin candle’s low/open).
Red line at bearish base (origin candle’s high/open).
Signals:
BUY: triangle-up below the bar on the tap.
SELL: triangle-down above the bar on the tap.
Labels (optional):
Marks the original wickless impulse candle that created each level.
Alerts
Two alert conditions are built in:
“BUY Signal” — fires when a bullish tap occurs.
“SELL Signal” — fires when a bearish tap occurs.
How to set:
Add the indicator to your chart.
Click Alerts (⏰) → Condition = this indicator.
Choose BUY Signal or SELL Signal.
Set your alert frequency and delivery method.
Recommended usage
Timeframes: Works on any; start with 5–15m intraday, or 1H–1D for swing.
Markets: Equities, futures, FX, crypto. For thin/illiquid assets, consider a slightly larger Tap Tolerance.
Confluence ideas (optional, but helpful):
Higher-timeframe trend agreeing with your chart timeframe.
Volume surge on the origin wickless candle.
S/R, order blocks, or SMC structures near the tap level.
Avoid major news moments when slippage is high.
No-repaint behavior
Origin patterns are detected only on bar close (barstate.isconfirmed), so bases are created with confirmed data.
Signals come after the origin bar, on subsequent taps.
There is no lookahead; lines and shapes reflect information known at the time.
(As with all real-time indicators, an intrabar tap can trigger an alert during the live bar; the signal then remains if that condition held at bar close.)
Known limitations & design choices
Single active level per side: The script tracks only the most recent bullish base and most recent bearish base.
Want a queue of multiple simultaneous bases? That’s possible with arrays; ask and we’ll extend it.
Heikin Ashi / non-standard candles: Wick definitions change; for consistent behavior use regular OHLC candles.
Gaps: On large gaps, taps can occur instantly at the open. Consider one-shot ON to avoid rapid repeats.
This is an indicator, not a strategy: It does not place trades or compute PnL. For backtesting, we can convert it into a strategy with SL/TP logic (ATR or structure-based).
Practical tips
Tap Tolerance:
If you miss obvious taps by a hair, increase to 1–2 ticks.
For FX/crypto with tiny ticks, even 0 or 1 is often enough.
EMA length:
Shorten for faster signals; lengthen for cleaner trend selection.
Risk management (manual suggestion):
For BUY signals, consider a stop slightly below the tap level (or ATR-based).
For SELL signals, consider a stop slightly above the tap level.
Scale out or trail using structure or ATR.
Quick checklist
✅ Price above EMA → watch for a green no-lower-wick candle → store its low → BUY on tap.
✅ Price below EMA → watch for a red no-upper-wick candle → store its high → SELL on tap.
✅ Use Tap Tolerance to avoid missing precise touches by one tick.
✅ Consider One Signal per Level to keep trades uncluttered.
FAQ
Q: Why did I not get a signal even though price touched the level?
A: Check Tap Tolerance (maybe too strict), trend alignment at the tap bar, and that the tap happened after the origin candle. Also confirm you’re on regular candles.
Q: Can I see multiple bases at once?
A: This version tracks the latest bull and bear bases. We can extend to arrays to keep N recent bases per side.
Q: Will it repaint?
A: No. Bases form on confirmed closes, and signals only on later bars.
Q: Can I backtest it?
A: This is a study. Ask for the strategy variant and we’ll add entries, exits, SL/TP, and stats.
ATAI Triangles — Volume-Based & Price Pattern Analysis (v1.01)ATAI Triangles — Volume-Based & Price Pattern Analysis (v1.01)
Overview
ATAI Triangles identifies two synchronized triangle structures — Hi-Lo-Hi (HLH) and Lo-Hi-Lo (LHL) — and analyzes them both geometrically and volumetrically. For each triangle, volume is split between its two legs (segments), providing interpretable insights into buyer vs seller activity along each path.
The idea is that certain geometric shapes, when paired with volume distribution on each leg, can reveal patterns worth exploring. Users are encouraged to share their observations and interpretations in the TradingView comments section so that more aspects of these triangle combinations can be discovered collectively.
Extra (for fun)
For a bit of entertainment, we’ve included a symbolic “hexagram” glyph that appears when both triangle types align in a particular way — it’s just a visual nod to geometry and has no predictive or trading value.
Interface & data clarity
- Inputs and parameters are organized by function (pattern geometry, volume analysis, visuals, HUD, labels).
- Each input includes tooltips explaining its purpose, units, and possible effects on calculations.
- All on-chart objects (polylines, labels, connectors) are named and colored to reflect their role, with volume values formatted in engineering notation (K, M, B).
- HUD columns and label texts use concise terms and consistent units, so that every displayed value is directly traceable to a calculation in the code.
- Daily and lower-timeframe volume series are clearly separated, with update logic documented to indicate intrabar provisional values vs finalized bar-close values.
Usage notes
Designed to be used alongside other indicators and chart tools for context; it is not a standalone signal generator.
All Buy/Sell volumes are absolute (non-negative); Δ = Buy − Sell.
Intrabar values update live and finalize at bar close (no repaint after close).
Disclaimer
For research, discussion, and educational purposes only. This is not financial advice and does not guarantee any outcome. Trade at your own risk.
