Gabriels Trend Regularity Adaptive Moving Average Dragon This is an improved version of the trend following Williams Alligator, through the use of five Trend Regularity Adaptive Moving Averages (TRAMA) instead of three smoothed averages (SMMA). This indicator can double as a TRAMA Ribbon indicator by reducing the offset to zero. Whereas the active offset can double as a forecasting indicator for options and futures.
This indicator uses five TRAMAs, set at 8, 21, 55, 144, and 233 periods. They make up the Lips, Teeth, Jaws, Wings, and Tail of the Dragon. This indicator uses convergence-divergence relationships to build trading signals, with the Tail making the slowest turns and the Lips making the fastest turns. The Lips crossing downwards through the other lines signal a short opportunity, whereas Lips crossing upwards through other lines signal a buying opportunity. The downward cross can be referred to as the Dragon "Sleeping" , and the upward cross as the Dragon "Awakening" .
In particular, but not limited to, the Wings and Tail movements possess a Roar-like forecast effect on the market. Respectively, they can be referred to as the Dragon "Spreading its Wings" or "Swinging its Tail" .
The first three lines, stretching apart and constantly moving higher or lower, denote periods in which long or short equity positions should be managed and maintained. This can be referred to as the Dragon "Eating with a mouth wide open" . Whereas indicator lines converging into narrow bands and shifting into a horizontal position can denote a trending period coming to an end, signaling the need for profit-taking and position realignment. Conversely, a previous flat line moving can denote a new trending period starting.
This indicator can double as a Multiple TRAMAs indicator by reducing the offset to zero. As such, very interesting results can be observed when used in a moving average crossover system such as the Williams Alligator or as trailing support and resistance.
The following moving average adapts to the average of the highest high and lowest low made over a specific period, thus adapting to trend strength. The TRAMA can be used like most moving averages, with the advantage of being smoother during ranging markets because it is calculated through exponential averaging.
It is calculating, using a smoothing factor, the squared simple moving average of the number of highest highs or lowest lows previously made. Where the highest highs and lowest lows are calculated using rolling maximums and minimums. Therefore, squaring allows the moving average to penalize lower values, thus appearing stationary during ranging markets.
As with all moving averages, it is still a lagging indicator, and it can suffer whipsaws when the market moves too violently or when it consolidates in ranging conditions. Despite it working in all timeframes, it won't be as formidable in the 1–5-minute scalping timeframes due to that. I would suggest 5 to 45 minutes if you are a swing trader, or hourly, daily, and weekly if you are a long-term investor.
I hope you enjoy this indicator! It's the first indicator I made, so constructive criticism would be appreciated. Thanks!
Cari dalam skrip untuk "weekly"
TTP Intelligent AccumulatorThe intelligent accumulator is a proof of concept strategy. A hybrid between a recurring buy and TA-based entries and exits.
Distribute the amount of equity and add to your position as long as the TA condition is valid.
Use the exit TA condition to define your exit strategy.
Decide between adding only into losing positions to average down or take a riskier approach by allowing to add into a winning position as well.
Take full profit or distribute your exit into multiple take profit exists of the same size.
You can also decide if you allow your exit conditions to close your position in a loss or require a minimum take profit %.
The strategy includes a default built-in TA conditions just for showcasing the idea but the final intent of this script is to delegate the TA entries and exists to external sources.
The internal conditions use RSI length 7 crossing below the BB with std 1 for entries and above for exits.
To control the number of orders use the properties from settings:
- adjust the pyramiding
- adjust the percentage of equity
- make sure that pyramiding * % equity equals 100 to prevent over use of equity (unless using leverage)
The script is designed as an alternative to daily or weekly recurring buys but depending on the accuracy of your TA conditions it might prove profitable also in lower timeframes.
The reason the script is named Intelligent is because recurring buy is most commonly used without any decision making: buy no matter what with certain frequency. This strategy seeks to still perform recurring buys but filtering out some of the potential bad entries that can delay unnecessarily seeing the position in profits. The second reason is also securing an exit strategy from the beginning which no recurring buy option offers out-of-the-box.
MTF VWAPThis indicator is an enhanced version of the traditional VWAP, providing traders with multiple timeframe views, automatic session anchoring, and customization options for optimized technical analysis.
Key Features:
1. Multiple Timeframes, One View : Visualize Daily, Weekly, Monthly, and Yearly VWAP calculations simultaneously on a single chart.
2. Automatic Anchoring : The indicator intelligently auto-anchors each VWAP calculation to the start of its respective session. This ensures accurate readings and streamlines your analysis by eliminating the need for manual adjustments.
3. Customizability : Tailor the appearance of the indicator with fully customizable colors and the ability to select your preferred price source (e.g., high, low, close, hlc3, hlcc4, or a custom one).
Backtest any Indicator v5Happy Trade,
here you get the opportunity to backtest any of your indicators like a strategy without converting them into a strategy. You can choose to go long or go short and detailed time filters. Further more you can set the take profit and stop loss, initial capital, quantity per trade and set the exchange fees. You get an overall result table and even a detailed, scroll-able table with all trades. In the Image 1 you see the provided info tables about all Trades and the Result Summary. Further more every trade is marked by a background color, Labels and Levels. An opening Label with the trade direction and trade number. A closing Label again with the trade number, the trades profit in % and the total amount of $ after all past trades. A green line for the take profit level and a red line for the stop loss.
Image 1
Example
For this description we choose the Stochastic RSI indicator from TradingView as it is. In Image 2 is shown the performance of it with decent settings.
Timeframe=45, BTCUSD, 2023-08-01 - 2023-10-20
Stoch RSI: k=30, d=40, RSI-length=140, stoch-length=140
Backtest any Indicator: input signal=Stoch RSI, goLong, take profit=9.1%, stop loss=2.5%, start capital=1000$, qty=5%, fee=0.1%, no Session Filter
Image 2
Usage
1) You need to know the name of the boolean (or integer) variable of your indicator which hold the buy condition. Lets say that this boolean variable is called BUY. If this BUY variable is not plotted on the chart you simply add the following code line at the end of your pine script.
For boolean (true/false) BUY variables use this:
plot(BUY ? 1:0,'Your buy condition hold in that variable BUY',display = display.data_window)
And in case your script's BUY variable is an integer or float then use instate the following code line:
plot(BUY ,'Your buy condition hold in that variable BUY',display = display.data_window)
2) Probably the name of this BUY variable in your indicator is not BUY. Simply replace in the code line above the BUY with the name of your script's trade condition variable.
3) Save your changed Indicator script.
4) Then add this 'Backtest any Indicator' script to the chart ...
5) and go to the settings of it. Choose under "Settings -> Buy Signal" your Indicator. So in the example above choose .
The form is usually: ' : BUY'. Then you see something like Image 2
6) Decide which trade direction the BUY signal should trigger. A go Long or a go Short by set the hook or not.
Now you have a backtest of your Indicator without converting it into a strategy. You may change the setting of your Indicator to the best results and setup the following strategy settings like Time- and Session Filter, Stop Loss, Take Profit etc. More of it below in the section Settings Menu.
Appereance
In the Image 2 you see on the right side the List of Trades . To scroll down you go into the settings again and decrease the scroll value. So you can see all trades that have happened before. In case there is an open trade you will find it at the last position of the list.
Every Long trade is green back grounded while Short trades are red.
Every trade begins with a label that show goLong or goShort and its number. And ends with another label again with its number, Profit in % and the resulting total amount of cash.
If activated you further see the Take Profit as a green line and the Stop Loss as a orange line. In the settings you can set their percentage above or below the entry price.
You also see the Result Summary below. Here you find the usual stats of a strategy of all closed trades. The profit after total amount of fees , amount of trades, Profit Factor and the total amount of fees .
Settings Menu
In the settings menu you will find the following high-lighted sections. Most of the settings have a question mark on their right side. Move over it with the cursor to read specific explanation.
Input Signal of your Indicator: Under Buy you set the trade signal of your Indicator. And under Target you set the value when a trade should happen. In the Example with the Stochastic RSI above we used 20. Below you can set the trade direction, let it be go short when hooked or go long when unhooked.
Trade Settings & List of Trades: Take Profit set the target price of any trade. Stop Loss set the price to step out when a trade goes the wrong direction. Check mark the List of Trades to see any single trade with their stats. In case that there are more trades as fits in the list you can scroll down the list by decrease the value Scroll .
Time Filter: You can set a Start Time or deactivate it by leave it unhooked. The same with End Time .
Session Filter: here you can choose to activate it on weekly base. Which days of the week should be trading and those without. And also on daily base from which time on and until trade are possible. Outside of all times and sessions there will be no new trades if activated.
Invest Settings: here you can choose the amount of cash to start with. The Quantity percentage define for every trade how much of the cash should be invested and the Fee percentage which have to be payed every trade. Open position and closing position.
Other Announcements
This Backtest script don't use the strategy functions of TradingView. It is programmed as an indicator. All trades get executed at candle closing. This script use the functionality "Indicator-on-Indicator" from TradingView.
Conclusion
So now it is your turn, take your promising indicators and connect it to that Backtest script. With it you get a fast impression of how successful your indicator will trade. You don't have to relay on coders who maybe add cheating code lines. Further more you can check with the Time Filter under which market condition you indicator perform the best or not so well. Also with the Session Filter you can sort out repeating good market conditions for your indicator. Even you can check with the GoShort XOR GoLong check mark the trade signals of you indicator in opposite trade direction with one click. And compare your indicators under the same conditions and get the results just after 2 clicks. Thanks to the in-build fee setting you get an impression how much a 0.1% fee cost you in total.
Cheers
Seasonality ForecastThe Seasonality Forecast indicator equips TradingView users with a detailed analysis of seasonal price trends, utilizing historical data across daily, weekly, and monthly timeframes. By calculating average price movements over selectable periods up to 10 years, it overlays a seasonal chart on the price chart to elucidate potential trends.
Operational Mechanics
Historical Data Analysis: The indicator processes historical data, calculating average price changes from one bar to the next. This forms the basis of the seasonal chart, offering insights into long-term price movements.
Seasonal Chart Overlay: Adjustments are made to ensure the seasonal chart aligns with the price chart in height, providing a unified view. The de-trending process standardizes each year's data, facilitating direct comparison across time without the influence of overarching price trends.
Customization and Methodology
User Inputs: Traders can tailor the analysis with settings for the lookback period, future projection, and smoothing, aligning the tool with diverse trading strategies.
De-trending and Smoothing: The de-trending method isolates cyclical patterns by removing linear trends, while smoothing techniques reduce data noise, sharpening the focus on meaningful trends.
Pivot Point Analysis: It uses algorithms for detecting pivot points based on historical price actions, signaling potential market turns. This analytical method is crucial for identifying shifts that may indicate future market directions.
Technical Foundations
The Seasonality Forecast indicator leverages known financial analysis techniques to enhance its effectiveness:
Time Series Analysis: Fundamental to the indicator's operation is time series analysis, particularly focusing on cyclical patterns within market data. This approach underpins the seasonal trend analysis, offering a structured view of historical price behavior.
Statistical Smoothing: Smoothing methods, such as moving averages, are applied to the seasonal data to clarify trends by mitigating volatility and short-term fluctuations, making underlying patterns more apparent.
Technical Analysis for Pivot Points: The calculation of pivot points draws on principles of technical analysis, identifying areas where the market's direction has historically shown a tendency to change. This aspect of the tool is instrumental in forecasting potential market movements.
Practical Application
This indicator is invaluable for traders aiming to leverage historical market performance in their analysis, enabling:
Strategic planning based on seasonal patterns, enhancing entry and exit decisions.
Adjusted risk management strategies in anticipation of seasonal volatility.
Identification of potential trend reversals or continuations at pivotal moments in the market cycle.
By integrating historical analysis with technical insights, the Seasonality Forecast indicator provides a nuanced tool for traders looking to deepen their market analysis and refine their trading strategies with a historical perspective.
Debasement Adjusted CAGREquity growth may appear less significant when juxtaposed with the expansion of the money supply. This is because markets tend to adjust prices to reflect changes in money supply almost immediately.
Our indicator offers a unique perspective by adjusting the current ticker price for the M2 money supply and normalizing this data to show the percentage appreciation since the first visible bar on the chart. Users can also select alternative money supply measures, such as the EU-M2, via the indicator's settings.
This approach essentially redefines the price as the "growth of the relative share of the total money supply," providing a novel lens through which to view equity performance.
Additionally, the indicator computes both the Compound Annual Growth Rate (CAGR) and the total growth observed from this adjusted standpoint. These metrics are calculated within the context of the selected time range, adding depth to the analysis.
Although this indicator is compatible with all timeframes, it is primarily designed as a macroeconomic tool. It yields the most meaningful insights when applied to longer-term perspectives, such as weekly or monthly timeframes.
This tool builds upon the foundational work presented in the "Inflation Adjusted Performance Ticker," accessible at Inflation Adjusted Performance Ticker , enhancing its application by normalizing the results and computing CAGR and total growth.
Timeframe PivotsUse this tool to plot open prices from any timeframe as a pivot level with the option to go advanced and turn on extensions (instructions below), which review the relationship between previous and current open prices to build range extensions up to six levels wide.
Please be aware extensions, nor vwap are not enabled by default! It is up to the user to determine how they wish to setup this indicator. Please read the full description for utilizing this indicator so that it's well known the complete feature set and understanding of how to enable additional plots, complete instruction is provided for all users below.
Default configuration example:
To enable extensions the user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", depending on screen resolution scrolling with mouse may need to occur in order to find the section labeled "Extensions", use the mouse or equivalent human interface device to check the checkbox to the right of the color plots and line type drop down.
Extensions enabled example:
Timeframe Selection
Timeframes available to the indicator are any timeframe the platform makes available to the user by default, or also if the TradingView user has higher tier plan to create custom timeframes - those should be available as well. To adjust timeframe the user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", depending on screen resolution scrolling with mouse may need to occur in order to find the input labeled "Timeframe", use the mouse or equivalent human interface device select the drop down and select timeframe suitable to users application.
How the extension width and extensions are calculated:
The exact process takes the new timeframe change open price calculates the difference between prior open, once that has been completed then it's divided in half to build extensions.
Code example:
Extension Width = (Open - Open ) / 2
How the extensions are calculated:
// +1 for positive extension, -1 for negative extension
(Extension Width * (Configured Multiplier * 1)) + Pivot Open Price
+1 Extension:
$5 * (1.0 * 1) + $400 = $405
-1 Extension:
$5 * (1.0 * -1) + $400 = $395
So it should be established how each projected extension, either positive or negative, is created.
Range bound market detection and notes:
One note regarding the ranges, sometimes the open prices of each period can be close in proximity to their predecessor, there's not enough range to build meaningful projections. In these situations this means the market is most likely range bound and prior range data is utilized to continue providing guidance. This addresses an issue with other pivot indicators that will instead blindly follow price and present useless pivot ranges.
It does this through detection of average half range widths, the last 14 ranges to be exact, if the current, (open - open / 2), half range width is smaller than the average, prior half range width will be used.
Code example:
// assume past half range widths are 10, 8, 9, 5, 14, 7, 7, 9, 10, 10, 4, 7, 7, 8
float v_halfRangeWidthToUseForExtensions = na
v_priorHalfRangeWidth = 10
v_avgHalfRangeWidth = 8.2 // past range widths sum = 115 / 14
v_newHalfRangeWidthToUseForExtensions = 2 // new open - open is tiny compared to avg
if v_newHalfRangeWidthToUseForExtensions < v_avgHalfRangeWidth
// replace new half range width with previous one
v_newHalfRangeWidthToUseForExtensions := v_priorHalfRangeWidth
In the code example above if the new half range width was above or equal to the rolling average, no adjustment would be made by the indicator.
VWAP
Additional feature of showing vwap, anchored to the same timeframe as the pivot, provides a trend and volume analysis within the confines of the pivots range.
The user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", scroll using mouse to the "VWAP" section and click the checkbox next to the "Source" field, past the color plots. They are not enabled by default!
The user can also add the bands for VWAP by clicking the checkbox next to the "Bands" field, past the color plots. They are not enabled by default!
VWAP calculations begin from open price of new timeframe change, then afterwards the "Source" set is utilized, the default is HLC3 which is standard for VWAP indicators.
Multiple Timeframe Analysis (MTFA)
It's simple to create a unique combination of favored timeframes for multiple timeframe analysis, consider daily, weekly and monthly combined analysis for powerful indications of market sentiment and directional bias.
Example MTFA demonstration:
Why was this created?
I created this while investigating the efficacy of open price ranges, it became apparent that these pivot ranges are some of the more price respecting pivots I've ever observed. I also grew tired of lack of price adherence to other pivot indicators widely available.
There exists a relationship between each timeframes open price in comparison to prior open price, if the market is willing to navigate to a prior lower open price from higher open price, it could be perceived as bearish and the extensions (if enabled as instructed above), could be suitable range based projections for future price movements.
Example comparison:
As can be seen, and there are many examples, where Timeframe Pivots provides more discreet levels and potential explanations for price movements.
Unbounded RSIIntroducing the concept of "Unbounded RSI".
Instead of indexing the average gain and average loss, over the time period of interest, we leave the average gain and loss unbounded. Instead we "bound" them by difference of each and smoothen out this difference in an envelope using exponential average. See code.
What this does to traditional RSI concept?
No concept of "overbought", "oversold"
No concept of "60-40", "70-30" bands and arguments over it
No concept of "Range Shifts"
...
How to use it?
I am generally a positional long trader. So I present my version. Of course, I expect each individual who decide to use this concept, to come up with their ideas, based on their style and temperament.
The points below, I apply on a Weekly Timeframe Chart.
Once, we see a long consolidation and price breakout, we should be able to see "Green" histogram bars. These appear, once we have the stock at least 20% up from the 52WL and the "Unbounded RSI" has turned positive. This can be a good time to "enter" into the scrip.
The height of the bars are significant, since they essentially show, that the "gap" between the avg. gain and avg. loss is widening, indicating momentum. Swing trading can thrive in these environments I guess.
Falling heights indicate that gaps to close, though, the "gap can still be green". This means, momentum is now falling. Swing traders and "quick buck makers", would ideally book profits here. If the color of the bars still remain "Green" it indicates that momentum has reduced but still the gains are "more" than loss on the timeperiod selected.
Once the histogram turns red, it means that the gain is now lower than loss. An increasing height underground, means this loss is widening. Generally, this will corelate with price action (not necessarily volume).
At this time, exits should be looked for, may be also check other factors/indicators to decide, but surely the momentum and the gain% over the timeperiod selected has now gone.
Note for Pine Coders:
The source code can easily be modified to develop this concept further.
For example:
Use different smoothing algorithms
Remove 52WL condition and introduce new additional conditions
Instead of price change of the stock for gain/loss calculations, we use the concept of Relative Strength (RS, not RSI) and measuere the gain/loss based on a benchmark index . I intend to work on this concept, soon.
You shall see a variable "unboundedRSI" which is actually a ratio of the Avg. Gain / Avg. Loss. This ratio is not plotted. It is kept there, for future use.
Many more
Up Weeks (William O'Neil)The indicator draws boxes when close to close returns are positive for at least a specified number of bars. The last bar is only included in the box (if positive) after the market is closed, to avoid false positives.
The standard use (by William O'Neil) is on weekly charts, using at least five consecutive up bars to define a box (indicating strong institutional buying activity).
Options:
* minimum number of up bars to form a box
* include flat bars (zero return) in the up count
* add labels to top and bottom box levels, as shown in the sample chart
Intraday volume pressureThis indicator shows the difference of bullish and bearish trading volume during intraday
The idea
Especially in "6E1!" it caught my eye, that often outside regular trading hours the price moves in one direction with thin volume and inside regular trading hours it moves back with much higher volume. It is possible, that the market closes e.g. with a plus. And over some days maybe you can see e.g. weak rising prices. But in this time the movements with high volume are going down every day. And one day - maybe within view minutes - the market rushs a level deeper.
Maybe some are manipulating the market in this way, maybe not, it doesn't matter. So my question was, can I find a way to show such divergences? I guess I can do.
How to use this indicator
Use it at your own risk! I don't take over any responsibility. You are the only one, who is responsible for your decisions. Always collect information from different independent sources!
Watch it in the daily chart - not intraday, not weekly! Of course this indicator just analyzes the past as all indicators. Everytime everything may happen that influences the market in any direction, no indicator can predict any news.
Watch it in sideways market or when the price is moving quite slow over days! An average volume pressure
below zero shows a volume-driven bearish pressure
above zero shows a volume-driven bullish pressure
of the last days. So there is a chance, that the market may follow the volume pressure within the next days. But of course, I cannot guarantee anything. The indicator just can give you an idea, why this will happen, when it will happens. Otherwise, the indicator indicated nothing helpfull.
Of course you also can try other securities. Maybe it will work there better or worse - difficult to say. I guess, it depends on the market.
Possible settings aside of colors
Intraday minute bars: Default is 15 minutes, in 6E in my point of view it is a good value. If you choose a smaller value, the chart gets too noisy, the results are getting too small. With a bigger timeframe some moves are hidden in bigger candles, the results are getting a large spread
Average over days: Default is 5 days - so one week. In 6E in my point of view it is a good value. A smaller value is too noisy. A bigger value reacts too slow. Often 6E has a trend over weeks. Sometimes it changes within some days - the indicator may help. But sometimes the market changes with a buying or selling climax. Such a case this indicator cannot recognize. But with the 5 days average maybe you get a change in the indicator within one or two days. Anyway, it is always a good idea to learn recognizing climaxes otherwise.
How the indicator works
It uses the function request.security_lower_tf to get the intraday candles. The volume of intraday up-candles is added to the intraday summary volume. The volume of down candles is substracted from the intraday summary volume.
In the oscillator area I plot a green bar on a day with a higher close than open and a red bar on a day with a lower close than open. The bar has a positive value, if the volume pressure is positive and a negative value if the volume pressure is negative. So it happens, that a green bar has a negative value or a red bar has a positive value.
The average is calculated with a floating sum. Once we have enough days calculated, I devide the floating sum by the length of the "Average over days" and plot the result. Then I substract the first value of the queue and I remove it.
Master Fren Jedi HelperDescription:
The "Master Fren Jedi Helper" is a TradingView indicator designed to enhance trading analysis by plotting distinct lines at crucial times of the trading day.
This indicator is an invaluable tool for traders who focus on intraday price movements and patterns around specific times. Its primary features include:
Customizable Time Markers: The script allows users to mark specific times of the day with lines of different colors and styles. These times are adjustable based on the user's timezone and preferences.
Configurable Line Properties: Users can customize the color and style of each line. The script offers options for a green line at 7 AM, a red line at 11 AM, a grey line at midnight, and a yelow line to denote the daily open.
Time Zone Adjustment: To work with New York time zone, you have ability to adjust for different time zones. Users can input their time zone offset, advised to use UTC -5 allowing the script to plot the lines accurately according to their local time.
Day Labels: The indicator also labels each day of the week at midnight, providing a clear and easy way to track the days on the chart.
Functionality Overview:
Green Line at 7 AM: This line helps identify the early morning market sentiment. Users can customize the color and style of this line.
Red Line at 11 AM: Plotted to highlight mid-morning price levels, this line is also customizable in color and style.
Grey Line at Midnight: Marks the start of a new trading day. The line style and color can be personalized.
Yellow Line for Daily Open: Indicates the opening price of the day. The line's color and style are adjustable.
Time Zone Configuration: Users can set their local time zone to ensure the lines correspond accurately with their specific market hours.
Day of the Week Labels: Each midnight is labeled with the day of the week, aiding in the weekly analysis of price patterns.
This indicator is perfect for traders who need to quickly identify key times and price levels each day. It's easily configurable to suit various trading strategies and assists in enhancing the visual representation of intraday market dynamics.
Autocorrelation Candles [SS]Hey everyone, this is the Autocorrelation Candles indicator!
I have formulated it in a way that is similar to the TD 9 candle counting indicators, only instead of TD, its using a lagged autocorrelation of previous candle over a 14 period look back.
It operates similar to trend correlations (for example, my Trend Correlation Oscillator Indicator), however instead of correlating to time, it correlates to itself (autoregression). The theory being, as the autoregression correlation increases and the market becomes too "trendy", we are due for a reversal.
The indicator will display the current lagged correlation of each candle below it. When we approach a period of previous reversal, it will change the colour to orange. When we reach a very high autocorrelation (0.94 or greater), it will turn red and signal a potential reversal to the upside or downside:
Uses:
I will reference this on the larger timeframes (Daily, weekly and 4 hour) about a couple times a week or after a major trend day to see where we are.
You can use this on the smaller timeframes as well, it will work just fine.
Customizations:
I have been listening and learning my lesson, I have made the ability to customize the base text colour to black or white depending on your theme use! SO if you have white theme, you can change to black and vice versa.
As well, if you don't want labels on every candle, in the settings menu there is an option to limit the labels to a desired amount. You select the max amount and it will adjust.
You can also adjust the size of the labels between tiny, medium, and large.
Conclusion
And that's the indicator! Despite being fairly simple in concept, I have been working away on it for a bit with some logistic issues that I finally got sorted.
Hopefully, you enjoy,
Leave your questions below!
Safe trades everyone!
Emibap's Uniswap V3 HEX/WETH 0.3% Liquidity PoolThis script will display a histogram of the Uniswap V3 HEX / WETH 3% liquidity pool.
Similar to what you can see in the liquidity section of the Uniswap pool page but conveniently rendered alongside your chart.
It's meant to be used on a HEX / WETH chart only. The price should be expressed in WETH for it to work.
One of the main motivations for using this in your chart is to get an idea of the current sentiment: If most of the volume is below the price it might be an indication of an upcoming move up, for instance.
I'll try to update the liquidity regularly.
Using the 4h, daily, or weekly time frames is highly recommended.
The options are straightforward:
Histogram bars color. Default is blue
Histogram background color. Default is black at 20% opacity
Upper price limit of the diagram: Visible upper bound price limit for the histogram, based on the current price. I.E: 200%: If the price is 1, the histogram will show 3 as the upper bound
Lower price limit of the diagram. Visible lower bound price limit for the histogram, based on the current price. I.E: 99%: If the price is 1, the histogram will show 0. 01 as the upper bound
Width of the widest bar: Width (in bars) for the widest bar of the histogram. The more the higher resolution you'll get
Donch +This is an indicator I made for trading Forex to help me see the bigger picture. It is meant for the 30min TF and it includes the following:
- 20 Day High | Low
- 5 Day High | Low
- 4 Hour High | L
- 4 Hour Bars
- Daily Simple Moving Averages
- Weekly Trend Line (connects last week's open to this week's open)
- Daily Trend Line (connects yesterday's open to today's open)
- Horizontal Lines at 0.25% increments (these can be useful for S/R... currency rarely moves more than 1% in a day).
- A table with information about what markets are open and technicals on the pair I am looking at.
- A slight white background fill to highlight the first hour of the US session. Knowing what session you are in is very important in day trading (in my opinion). This lets me go back and see how the US has been trading.
To keep the chart from being "too busy" (it's plenty busy lol), I use a step line and focus on 30min closes. I reference the white lines above and below closes for 4hr highs/lows and don't bother with looking at the high/low of every 30 min bar.
For the table, you will see bright green by the country for the first hour of trading in that session. It will turn to a regular green after the first hour. It will turn yellow the final hour of that session. It will turn red if that market is closed.
You can select from the settings 'inputs' tab to enable/disable any parts of this you don't find useful, for the table you'd go over to the 'style' tab and unselect it there. For example, I don't use the labels regularly. If I were to get confused about what a moving average was or something, I'd enable the labels and clarify.
Currency doesn't like to break out and likes to be stable. Keeping this in mind, you can see how the 20 day high / low and the 5 day high / low act as support and resistance (unless there is a news event to break out on.
I have alerts for the following:
- Price update every hour
- Crossing a trend line
- Crossing a moving average
- Crossing a 0.25% increment
- Making a new 4 hour, 5 day, or 20 day high/low
To enable the alerts, you would click add alert, select the indicator, and click save. To work properly, you'd want to be on the 30min TF before doing this. You will get a lot of alerts (personally I like this because I like to see how currency moves throughout the day). You will get one notification per 30 minutes but not more than that for the particular alert.
RMB - High and LowDescription:
Introducing the "RMB - High and Low" indicator, a versatile and powerful tool designed for traders who seek a comprehensive view of the market across multiple time frames. This indicator is tailored to identify and display key support and resistance levels, adapting to your chosen time frame - from as short as 15 minutes to as long as a week.
Key Features:
Multi-Time Frame Flexibility : Easily switch between 15 minutes, 30 minutes, 1 hour, 2 hours, 4 hours, daily, and weekly time frames to align with your trading strategy and market analysis.
Dynamic Support and Resistance Levels : The indicator plots the highest high (resistance) and the lowest low (support) for the selected time frame, providing real-time insights into market behavior and potential pivot points.
Time Frame-Specific Labels : Each resistance and support line is labeled with the corresponding time frame, offering a clear and immediate reference, enhancing your chart analysis and decision-making process.
User-Friendly Interface : A simple and intuitive input interface allows for quick adjustments, making it easy to toggle between different time frames based on your trading needs.
Visual Clarity : Designed with distinct color coding - green for resistance and red for support - ensuring that key levels are easily identifiable at a glance.
Ideal Use Cases:
Day Trading: Utilize shorter time frames to capture quick market movements and identify intraday pivot points.
Swing Trading: Leverage longer time frames to understand broader market trends and establish entry and exit points.
Diverse Strategies: Whether you're scalping, trend following, or employing mean reversion tactics, adapt the indicator to fit your unique approach.
Conclusion:
The "RMB - High and Low" indicator is a must-have tool for traders who demand flexibility and precision in their technical analysis. By offering insights across various time frames, this indicator empowers you to make well-informed decisions, adapt to market changes swiftly, and enhance your trading performance.
Open Interest OscillatorIn the middle of a bustling cryptocurrency market, with Bitcoin navigating a critical phase and the community hype over potential ETF approvals, current funding rates, and market leverage, the timing is optimal to harness the capabilities of sophisticated trading tools.
Meet the Open Interest Oscillator – special indicator tailored for the volatile arena of cryptocurrency trading. This powerful instrument is adept at consolidating open interest data from a multitude of exchanges, delivering an in-depth snapshot of market sentiment across all timeframes, be it a 1-minute sprint or a weekly timeframe.
This versatile indicator is compatible with nearly all cryptocurrency pairs, offering an expansive lens through which traders can gauge the market's pulse.
Key Features:
-- Multi-exchange Data Aggregation: This feature taps into the heart of the crypto market by aggregating open interest data from premier exchanges such as BINANCE, BITMEX, BITFINEX, and KRAKEN. It goes a step further by integrating data from various pairs and stablecoins, thus providing traders with a rich, multi-dimensional view of market activities.
-- Open Interest Bars: Witness the flow of market dynamics through bars that depict the volume of positions being opened or closed, offering a clear visual cue of trading behavior. In this mode, If bars are going into negative zone, then traders are closing their positions. If they go into positive territory - leveraged positions are being opened.
-- Bollinger Band Integration: Incorporate a layer of statistical analysis with standard deviation calculations, which frame the open interest changes, giving traders a quantified edge to evaluate the market's volatility and momentum.
-- Oscillator with Customizable Thresholds: Personalize your trading signals by setting thresholds that resonate with your unique trading tactics. This customization brings the power of tailored analytics to your strategic arsenal.
-- Max OI Ceiling Setting: In the fast-paced crypto environment where data can surge to overwhelming levels, the Max OI Ceiling ensures you maintain a clear view by capping the open interest data, thus preserving the readability and interpretability of information, even when market activity reaches feverish heights.
FX DispersionThis script calculates the dispersion of a basket of 5 FX pairs and then calculates the z-score the z-score is then made into a composite using the 30 and 60 ema of the z-score to smooth any noise. It must be used on one of the FX pairs in the basket and on the 1-minute timeframe as it has been hardcoded for 1 min use below.
Interpretation - Dispersion is a component of volatility - the dispersion of the underlying basket increases above 0.5 and decreases below 0.5.
Although increased dispersion is beneficial to momentum and trend-following strategies on the monthly and weekly timeframes. Observe this on the 1-minute timeframe and how dispersion crossing above/ below 0.5 it can signal reversion or momentum for the next period.
VWAP RangeThe VWAP Range indicator is a highly versatile and innovative tool designed with trading signals for trading the supply and demand within consolidation ranges.
What's a VWAP?
A VWAP (Volume Weighted Average Price) represents an equilibrium point in the market, balancing supply and demand over a specified period. Unlike simple moving averages, VWAP gives more weight to periods with higher volume. This is crucial because large volumes indicate significant trading activity, often by institutional traders, whose actions can reflect deeper market insights or create substantial market movements. The VWAP is also often used as a benchmark to evaluate the efficiency of executed trades. If a trader buys below the VWAP and sells above it, they are generally considered to have transacted favourably.
This is how it works:
Multiple VWAP Anchors:
This indicator uses multiple VWAPs anchored to different optional time periods, such as Daily, Weekly, Monthly, as well as to the highest high a lowest low within those periods. This multiplicity allows for a comprehensive view of the market’s average price based on volume and price, tailored to different trading styles and strategies.
Dynamic and Fixed Periods:
Traders can choose between using dynamic ranges, which reset at the start of each selected period, and specifying a date and time for a particular fixed range to trade. This flexibility is crucial for analyzing price movements within specific ranges or market phases.
Fixed ranges allow VWAPs to be calculated and anchored to a significant market event, the beginning of a consolidation phase or after a major news announcement.
Signal Generation:
The indicator generates buy and sell signals based on the relationship of the price to the VWAPs. It also allows for setting a maximum number of signals in one direction to avoid overtrading or pyramiding. Be sure to wait for the candle close before trading on the signals.
Average Buy/Sell Signal Lines:
Lines can be plotted to display the average buy and sell signal prices. The difference between the lines shows the average profit per trade when trading on the signals in that range. It's a good way to see how profitable a range is on average without backtesting the signals. The lines will also often turn into support and resistance areas, similar to value areas in a volume profile.
Customizable Settings:
Traders have control over various settings, such as the VWAP calculation method and bar color. There are also tooltips for every function.
Hidden Feature:
There's a subtle feature in this indicator: if you have 'Indicator values' turned on in TradingView, you'll see a Sell/Buy Ratio displayed only in the status line. This ratio indicates whether there are more sell signals than buy signals in a range, regardless of the Max Signals setting. A red value above 1 suggests that the market is trending upward, indicating you might want to hold your long positions a bit longer. Conversely, a green value below 1 implies a downward trend.
Volume Points of Control and No Control [NariCapitalTrading]Overview:
The "Volume Points of Control and No Control" (VPOC/VPONC) is a trading indicator/concept I designed to identify key price levels based on volume activity. It shows (on the price label on the y-axis) where there was the most (red) and the least (blue) volume over a specified lookback period. Read below for interpretation.
Key Features:
Identifies key price levels based on volume
Customizable lookback period and trade timeframe
Plots Volume Point of Control (VPOC) and Volume Point of No Control (VPONC)
Inputs and Calculations:
Custom Trade Timeframe: Allows users to set the desired timeframe for analysis (e.g., Daily, Weekly).
Lookback Period: Users can specify the period over which to analyze volume data.
VPOC Calculation: Determines the price level with the highest volume within the lookback period.
VPONC Calculation: Finds the price level with the lowest volume within the lookback period.
Indicator Usage:
The VPOC is considered a significant level where traders have shown the most interest, often acting as a strong support or resistance level. The VPONC, conversely, is a concept I made up. It represents a price level where 1) in an trending market, this price was accepted quickly, thus suggesting continuation of an trend. 2) price retracements will typically revisit thinly-traded price areas, the VPONC can sometimes signal an area of support in a downtrend.
Chart Representation:
VPOC Label: Plotted on the y-axis in red, indicating the price level with the highest volume.
VPONC Label: Displayed on the y-axis in blue, showing the price level with the least volume.
These labels are dynamically updated based on the user-specified lookback period and trade timeframe.
ATR Range Accumulation by Standard Deviation and Volume [SS]So, this is an indicator/premise I have been experimenting with, which mixes ATR with Z-Score and Volume metrics.
What does the indicator do?
The indicator, on the lower timeframes, uses an ATR approach to determine short-term ranges. It takes the average ATR range over a designated lookback period and plots out the levels like so:
It then calculates the Z-Score for these ATR targets (shown in the chart above) and calculates, over the designated lookback period, how often price accumulates at that standard deviation level.
The indicator is essentially a hybrid of my Z-Score Support and Resistance indicator and my frequency distribution indicator. It combines both concepts into one.
You also have the option of sorting by volume accumulation. This will display the accumulation of the ranges by volume accumulation, like so:
Larger Timeframes:
If you want to see the accumulation by volume or standard deviation on the larger timeframes, you can. Simply toggle on your preferred setting:
Show Total Accumulation Breakdown:
This will break down the levels, over the lookback period, by standard deviation. This is similar to the Z-Score support and resistance indicator. It will then show you how often price accumulates at these various standard deviation levels. Here is an example on the daily timeframe using the 1D chart settings:
Inversely, you can repeat this, with the Z-Score levels, but show accumulation by volume. This will print 5 boxes, which are between +3 Standard Deviations and -3 Standard Deviations, like so:
Here we can see that 61% of volume accumulation is between -1 and 1 standard deviation.
Using it to Trade:
For swing trading, I suggest using the larger timeframe information. However, for both swing and day traders, it is also helpful to use the ATR display. You can modify the ATR display to show the levels on any timeframe by selecting which timeframe you would like to see ATR ranges for. If you are trading on the 1 or 5-minute chart, I suggest leaving the levels at no shorter than a 60-minute timeframe.
You can also use these levels on the daily for the weekly levels, etc.
The accumulation being shown will be based on the current chart timeframe. This is a function of Pinescript, but in this case, it's actually advantageous because if you are trading on the shorter timeframe, and a level has 0% recent accumulation, it's unlikely we will see that level soon or overly quickly. Intraday retracements will generally happen to areas of high accumulation.
How this indicator is different:
The difference in this indicator comes from its focus on accumulation in relation to Standard Deviation. There is one thing that is consistent among retail traders, algorithms, market makers, and funds, and that is looking at the market in terms of standard deviation. Each person, market maker, and algorithm may be slightly nuanced in how it conceptualizes standard deviation (whether it be since the inception of the ticker (or IPO), or the previous 500 days, or the previous 100 days, etc.), but the premise remains consistent. Standard Deviation is a really important, if not the most important, metric to pay attention to. Another important metric is volume. Thus, the premise is that combining volume accumulation with standard deviation should, theoretically, be telling. We can see the extent of buying at various standard deviations and whether a stock is really a buy or not.
And that's the indicator! Hope you enjoy it. Leave your comments and questions below.
Safe trades!
Hi-Lo-GaugesIntroducing the 'Hi-Lo-Gauges' indicator, a powerful tool designed to provide a comprehensive visual representation of key price metrics. This indicator leverages up to 8 preset gauges, each catering to a specific aspect of market data:
All-time high and low
Current 52 Weeks high and low
Current Annual High and Low
Current Semi-Annual High and Low
Current Quarterly High and Low
Current Monthly High and Low
Current Weekly High and Low
Current Daily High and Low
Users have the flexibility to choose all 8 or selectively display specific gauges. For each metric, the gauge dynamically adapts, with the low value set as the minimum and the high value as the maximum. Measurement options include utilizing the highest and lowest closes or the literal highest and lowest prices.
The active price of the underlying asset serves as the reference point, allowing users to gauge the percentage move on the scale between the chosen minimum and maximum. Complete customization is at the users' fingertips, enabling them to tailor the indicator's appearance to suit their preferences.
With 'Hi-Lo-Gauges,' traders and analysts can intuitively monitor and interpret diverse price metrics, fostering a deeper understanding of market dynamics and supporting more informed decision-making.
Note: 'Hi-Lo-Gauges' is visible and applicable exclusively on the daily timeframe due to the nature of the metrics used.
Channel CorridorOVERVIEW
The Channel Corridor indicator is designed to operate on a log chart of asset prices (e.g., BTCUSD), specifically on a weekly timeframe.
The intent of the indicator is to provide a visual representation of market dynamics, focusing on a dynamically adjusted corridor around a Simple Moving Average (SMA) of an asset's price. The corridor adapts to changing market conditions. The indicator includes channels within the corridor for additional reference points.
PURPOSE
Trend Identification: The channel corridor can aid in visualising the overall trend, as it dynamically adjusts the corridor based on an SMA and user-defined parameters.
Volatility Assessment: The width of the channel corridor can may act as a gauge of market volatility.
Reversal Points: The channel corridor may signal potential trend reversals or corrections when an asset price approaches the upper or lower bounds of the corridor.
Long-Term Trend Analysis: The channel corridor may aid in longer-term trend analysis.
CONSIDERATIONS
Validation: It's recommended that careful back-testing over historical data be done before acting on any identified opportunities.
User Discretion: Trading decisions should not rely solely on this script. Users should exercise judgment and consider market conditions.
CREDIT
Ideation: Thanks @Sw1ngTr4der for the idea and corridor seed code
Advanced Technical Range and Expectancy Estimator [SS]Hello everyone,
This indicator is a from of momentum based probability modelling. It is derived from my own approaches to probability modelling but just simplified a bit.
How it works:
The indicator looks at various technical, including stochastics, RSI, MFI and Z-Score, to determine the likely sentiment. All of these, with the exception of Z-Score, are momentum based indicators and can alert us to likely sentiment. However, instead of us making the subjective determination ourselves as to whether the RSI or MFI or Stochastics are bullish, the indicator will look at previous instances of these occurrences, and tally the bullish and bearish follow throughs that happened. It will also calculate the average target price that was hit, under similar conditions, on the same timeframe.
The Z-Score is your "tie breaker". It is not a momentum based indicator and measures something a little different (the standard deviation and over-extension of the stock). For this reason, it provides an alternative assessment and tends to be a bit more reliable in times of low momentum.
Back-test Results:
The indicator back-tests itself over the previous 100 candles. I have limited it to 100 candles for pragmatic considerations (it has to back-test each technical individually and increasing the BT length will slow and potentially error out the indicator) as well as accuracy considerations.
One thing I have noticed in my years of trying to crack the code and develop probability models for tickers, is historical accuracy doesn't always matter because sentiment is always changing. You need to see what it has done over the most recent 100 to 200 candles.
There are two back-test windows, one for the price targets and the other for the sentiment accuracy. The most effective/most accurate will highlight green, the least effective/least accurate will highlight red:
In the image above, you can see that the most accurate predictor of sentiment is Z-Score, with a 90.32% accuracy rate over the past 100 candles.
The most accurate predictor of price is MFI, with a 60% (for bull targets) and 42% (for bear targets)accuracy rate.
Anchoring Points:
The indicator permits you to anchor by two points. The default setting is anchoring by previous candle. If you plan to use this as an oscillator, to see the current prediction for the current candle you are viewing, then you will need to leave this default setting. It will pull the data from the previous candle and give you the data for the current candle you are on.
If you are assess the likely sentiment for the next day after the day has closed off, you will want to anchor by current candle. This will take the current technicals that the day has closed off with and run the assessment for you.
Customizability
You can customize the technicals by source and length of assessment.
They are all defaulted to the traditional settings of these indicators, but if you want to customize your model to try and improve or enhance accuracy in one way or another, you are free and able to do so!
I do suggest leaving the defaults as they seem to work particular well :-).
Thresholds
Thresholds are the tolerance levels that we permit for our technical search range. If you want them to be exactly identical, then you can set it to 0. If you want it to be extremely similar, you can set it to 0.01. This will hone in on the ranges you are interest in and you can see how it affects your accuracy by reviewing the results in the back-test tables.
Keep Static Colour Option
I want to make a quick note on the "Keep Static Colour" option that is in your settings menu.
The primary table that shows you the probability and price targets change colours based on the accuracy of the assessment. This is so, if you are using a mobile device or smaller screen and can't have the back-test results open at the same time, you can see still which are the most reliable results. However, if you have the back-test tables open and you find these colour changes too distracted, you can toggle on the "Keep Static Colour" and it will resort the colour of the table to a solid white:
Show Technicals
The indicator can show you the current technical values if you are using it in place of an oscillator. Its less pivotal as its making the assessment for you, but just for your reference if you want to see what the current MFI, Z-Score or Stochastics etc. are, you have that option as well.
All Timeframes Permitted
You can view Weekly, Monthly, Hourly, 5 minute, 1 minute, its all supported!
That's the indicator in a nutshell.
Hope you enjoy and leave your questions below.
Safe trades everyone!
