HighLowBox 1+3TF Enclose in a square high and low range in each timeframe.
Shows price range and duration of each box.
In current timeframe, shows Fibonacci Scale inside(23.6%, 38.2%, 50.0%, 61.8%, 76.4%)/outside of each box.
Outside(161.8%,261.8,361.8%) would be shown as next target, if break top/bottom of each box.
1st box for current timeframe.(default: Chart)
2nd-4th box for higher timeframes.(default: higher1,higher2,higher3)
static timeframes can also be used.
Range
Algo Targets [Premium]The Algo Targets indicator includes a suite of tools that attempt to identify market maker liquidity targets in advance.
These levels can be used by traders to determine:
1. future support/resistance
2. entries/exits
3. directional bias
4. potential reversal levels
5. pullback targets
The script uses a proprietary prediction model based on specific candle sequences, historical moves and volatility projections.
These tools have been live tested across a variety of instruments and timeframes, but should be backtested against your preferred ticker for best performance.
Primary Features:
1. Anchors
Anchors are derived from a simple, but powerful, three-candle breakout pattern. We have found that this pattern, when combined with the relative position to previous Anchor patterns on the chart, gives us clues to predicting future price structure.
Common use case: The simplest way to trade Anchors is to know that price *almost always* makes a return visit. This can be a useful tool for reversal traders. Additionally, Anchors often occur just before strong directional momentum. This can be useful for trend traders looking for entry signals.
Power User feature: Projected Ranges can be enabled in Settings. Each Anchor provides a Retracement leg (measured as the midpoint between the last two Anchors) and an Expansion leg (measured as twice the size of the Retracement leg, projected in the opposite direction). If Projected Ranges are enabled, the directional bias is also highlighted within the range, making it easy to spot at a glance.
Caveats: Expansion legs require patience and solid risk management. Additionally, the Expansion leg contains an additional Trigger level which price MUST cross before we consider the Expansion leg to be "in play" as a valid price target. This Trigger is marked on each Expansion legs as a dotted line.
Please note, Anchors require a 3 candle lookback before they are printed to the chart.
2. Target Zones
Target Zones are an advanced feature, and can be enabled in the Settings panel.
Each Target Zone consists of three levels:
Trigger — This the level closest to the current price. We expect it to act as a support/resistance level until price breaks through.
Target — This is the level farthest from the price. This is how far price is likely to move AFTER crossing the Trigger.
Midpoint — This is the level between the Trigger and Target. If price enters a Target Zone and wicks off of the Midpoint line, it’s usually a reversal signal. In this case we would cut our trade, consider the Target “filled” and potentially enter a reversal trade.
Common use case: When prices crosses a Trigger into a Target Zone, we consider that Target level to be “unlocked.” Our expectation is that price will gravitate toward the Target.
Power User feature: There are many strategies that a trader can build around Target Zones. One of our favorites is to use Targets strictly as reversal entries. On ranging days, price will often wick off of a Target level, before making a quick move in the opposite direction.
Caveats: After a Target is unlocked, it may be reached within the next few bars, or it may be saved by the market algorithms for later. Keep an eye on the Midpoint for potential reversals, and as always, proper risk management is key.
IMPORTANT: The presence of a Target Zone on the chart is neither bullish not bearish by itself. We consider the Target to be in play if, AND ONLY IF, price has crossed the Trigger level.
3. Pullback Levels
Pullback Levels are algorithmically detected return levels. They usually act as a strong draw on price, and often appear just before a pullback in price.
Common use case: The simplest way to use Pullbacks is to look for ones that have not been filled, either from a previous day or in after-hours/pre-market. We use them for confirmation bias along with Anchors and unlocked Targets.
Power User feature: For day trading, we set Alerts on our favorite tickers for any detected Pullbacks on the 5 min chart. This usually gives us plenty of time to review the chart for a possible day trade entry.
Settings:
All features are customizable, including color, line length and visibility. This lets you keep your chart as clean as you like, while only displaying additional data when it is needed.
Alerts:
Alerts can be set for all features, with the ability to set bearish and bullish alerts separately, depending on your trading preference. It is recommended to use "Once Per Bar Close" when you create an alert.
Predictive Ranges [LuxAlgo]The Predictive Ranges indicator aims to efficiently predict future trading ranges in real-time, providing multiple effective support & resistance levels as well as indications of the current trend direction.
Predictive Ranges was a premium feature originally released by LuxAlgo in 2020.
The feature was discontinued & made legacy, however, due to its popularity and reproduction attempts, we deemed it necessary to release it open source to the community.
🔶 USAGE
The primary purpose of this indicator is to provide potential support & resistance levels on the chart by estimating future trading ranges.
When the price reaches one of the upper/lower levels of the Predictive Ranges we can expect the price to reverse.
If the price exits the predicted range, new levels are given in real-time & they do not repaint. Higher "Factor" values allow returning longer term and wider ranges less susceptible to be exited.
🔹 Estimating Trend Directions
Users are able to easily estimate trend directions by looking at the central levels of the predictive ranges, which represent an estimate of the price central tendency.
If this central level increases it means the price is up-trending, if it is decreasing price is down-trending.
🔶 SETTINGS
Length: ATR Length used for the indicator calculation. Higher values will tend to return ranges of equal width.
Factor: Control the ranges width. Higher values will return less frequent ranges, each having a higher width.
Timeframe: Indicator timeframe output.
Source: Input source of the indicator. It is recommended to use input sources on the same scale as the price.
Simple Grid Lines VisualizerAbout Grid Bots
A grid bot is a type of trading bot or algorithm that is designed to automatically execute trades within a predefined price range or grid. It is commonly used in markets that exhibit ranging or sideways movement, where prices tend to fluctuate within a specific range without a clear trend.
The grid bot strategy involves placing a series of buy and sell orders at regular intervals within the predefined price range or grid. The bot essentially creates a grid of orders, hence the name. When the price reaches one of these levels, the bot will execute the corresponding trade. For example, if the price reaches a predefined lower level, the bot will buy, and if it reaches a predefined upper level, it will sell.
The purpose of the grid bot strategy is to take advantage of the price oscillations within the range. As the price moves up and down, the bot aims to generate profits by buying at the lower end of the range and selling at the higher end. By repeatedly buying and selling at these predetermined levels, the bot attempts to capture gains from the price fluctuations.
About this Script
Simple Grid Lines Visualizer is designed to assist traders in visualizing and implementing automated price grids on their charts. With just a few inputs, this script generates gridlines based on your specified top price, bottom price, and the number of grids or profit per grid.
How it Works:
Specify Top and Bottom Prices: Start by setting the top and bottom prices that define the range within which the gridlines will be generated. These prices can be based on support and resistance levels, historical data, or any other factors you consider relevant to your analysis.
Determine Grid Parameters: Choose either the number of grids or profit per grid, depending on your preference and trading strategy. If you select the number of grids, the script will evenly distribute the gridlines within the specified price range. Alternatively, if you opt for profit per grid, the script will calculate the price increment required to achieve your desired profit level per grid.
Note that when choosing Profit per Grid , an approximation usually is performed, as all grid lines must be evenly distributed. To achieve that, the script computes the grid distance using the mean price between top and bottom, then computes how many of those complete distances may enter the entire range, and lastly, creates a grid with evenly distributed distances as close as possible to the previously computed.
Customize Styling and Display: Adjust the line color, line style, transparency, and other visual aspects to ensure clear visibility on your charts.
Analyze and Trade: Once the gridlines are plotted on your chart, carefully observe how the market interacts with them. The gridlines can act as reference points for potential support and resistance levels, as well as simple buy/sell orders for a trading bot.
Try to find gridlines that intersect prices as frequently as possible from one to another.
A grid with too many lines will make lots of potential trades, but the amount traded will be minimal (as the total amount invested is divided over the number of grids).
A grid with too few lines will make lots of profits with each trade, but the trades will be less likely to occur (depending on the top/bottom distance).
This tool aims to help visually which grid parameters seem to optimize this problem.
Future versions may include automatic profit computation.
Moving Average - TREND POWER v1.1- (AS)0)NOTE:
This is first version of this indicator. It's way more complicated than it should be. Check out Moving Average-TREND POWER v2.1-(AS), its waaaaay less complicated and might be better.Enjoy...
1)INTRODUCTION/MAIN IDEA:
In simpliest form this script is a trend indicator that rises if Moving average if below price or falling if above and going back to zero if there is a crossover with a price. To use this indicator you will have to adjust settings of MAs and choose conditions for calculation.
While using the indicator we might have to define CROSS types or which MAs to use. List of what cross types are defined in the script and Conditiones to choose from.The list will be below.
2) COMPOSITION:
-MA1 can be defined by user in settings, possible types: SMA, EMA, RMA, HMA, TEMA, DEMA, LSMA, WMA.
-MA2 is always ALMA
3) OVERLAY:
Default is false but if you want to see MA1/2 on chart you can change code to true and then turn on overlay in settings. Most plot settings are avalible only in OV=false.
if OV=true possible plots ->MA1/2, plotshape when choosen cross type
if OV=false -> main indicator,TSHs,Cross counter
4)PRESETS :
Indicator has three modes that can be selected in settings. First two are presets and do not require selecting conditions as they set be default.
-SIMPLE - most basic
-ABSOLUTE - shows only positive values when market is trending or zero when in range
-CUSTOM - main and the most advanced form that will require setting conditions to use in calculating trend
4.1)SIMPLE – this is the most basic form of conditions that uses only First MA. If MA1 is below selected source (High/Low(High for Uptrend and Low for DNtrend or OHLC4) on every bar value rises by 0.02. if it above Low or OHLC4 it falls by 0.02 with every bar. If there is a cross of MA with price value is zero. This preset uses CROSS_1_ULT(list of all cross types below)
4.2) ABSOLUTE – does not show direction of the trend unlike others and uses both MA1 and MA2. Uses CROSS type 123_ULT
4.3) CUSTOM – here we define conditions manually. This mode is defined in parts (5-8 of description)
5)SETTINGS:
SOURCE/OVERLAY(line1) – select source of calculation form MA1/MA2, select for overlay true (look point 3)
TRESHOLDS(line2). – set upper and lower THS, turn TSHs on/off
MA1(line3) – Length/type of MA/Offset(only if MA type is LSM)
MA2(line4) – length/offset/sigma -(remember to set ma in the way that in Uptrend MA2MA1 in DNtrend)
Use faster MA types for short term trends and slower types / bigger periods for longer term trends, defval MA1/2 settings
are pretty much random so using them is not recomended.
CROSSshape(line5) – choose which cross type you want to plot on chart(only in OV=true) or what type you want to use in counting via for loops,
CROSScount(line6) – set lookback for type of cross choosen above
BOOLs in lines 5 and 6 - plotshape if OV=true/plot CROSScount histogram (if OV=false)
Lines 7 and 8 – PRESET we want to use /SRC for calculation of indicator/are conditions described below/which MAs to use/Condition for
reducing value t 0 - (if PRESET is ABSOLUTE or SIMPLE only SRC should be set(Line 8 does not matter if not CUSTOM))
5)SOURCE for CONDS:
Here you can choose between H/L and OHLC. If H/L value grow when MAlow. If OHLC MAOHLC. H/L is set by default and recommended. This can be selected for all presets not only CUSTOM
6)CROSS types LIST:
“1 means MA1, 2 is MA2 and 3 I cross of MA1/MA2. L stands for low and H for high so for example 2H means cross of MA2 and high”
NAME -DEFINITION Number of possible crosses
1L - cross of MA1 and low 1
1H - cross of MA1 and high 1
1HL - cross of MA1 and low or MA1 and high 2 -1L/1H
2L - cross of MA2 and low 1
2H - cross of MA2 and high 1
2HL - cross of MA2 and low or MA1 and high 2 -2L/2H
12L - cross of MA1 and low or MA2 and low 2 -1L/2L
12H - cross of MA1 and high or MA2 and high 2 -1H/2H
12HL - MA1/2 and high/low 4 -1H/1L/2H/2L
3 -cross of MA1 and MA2 1
123HL -crosses from 12HL or 3 5 -12HL/3
1_ULT - cross of MA1 with any of price sources(close,low,high,ohlc4 etc…)
2_ULT - cross of MA2 with any of price sources(close,low,high,ohlc4 etc…)
123_ULT – all crosses possible of MA1/2 (all of the above so a lot)
7)CRS CONDS:
“conditions to reduce value back to zero”
>/< - 0 if indicator shows Uptrend and there’s a cross with high of selected MA or 0 if in DNtrend and cross with low. Better for UP/DN trend detection
ALL – 0 if cross of MA with high or low no matter the trend, better for detecting consolidation
ULT – if any cross of selected MA, most crosses so goes to 0 most often
8)MA selection and CONDS:
-MA1: only MA1 is used,if MA1 below price value grows and the other way around
MA1price =-0.02
-MA2 – only MA2 is used, same conditions as MA1 but using MA2
MA2price =-0.02
-BOTH – MA1 and MA2 used, grows when MA1 if below, grows faster if MA1 and MA2 are below and fastest when MA1 and MA2 are below and MA2price=-0.02
-MA1 and MA2 >price=-0.03
-MA1 and MA2 ?price and MA2>MA1=-0.04
9)CONDITIONS SELECTION SUMMARRY:
So when CUSTOM we choose :
1)SOURCE – H/L or OHLC
2)MAs – MA1/MA2/BOTH
3)CRS CONDS (>/<,ALL,ULT)
So for example...
if we take MA1 and ALL value will go to zero if 1HL
if MA1 and >/< - 0 if 1L or 1H (depending if value is positive or negative).(1L or 1H)
If ALL and BOTH zero when 12HL
If BOTH and ULT value goes back to zero if Theres any cross of MA1/MA2 with price or cross of MA1 and MA2.(123_ULT)
If >/< and BOTH – 0 if 12L in DNtrend or 12H if UPtrend
10) OTHERS
-script was created on EURUSD 5M and wasn't tested on different markets
-default values of MA1/MA2 aren't optimalized so do not
-There might be a logical error in the script so let me know if you find it (most probably in 'BOTH')
-thanks to @AlifeToMake for help
-if you have any ideas to improve let me know
-there are also tooltips to help
REVE Cohorts - Range Extension Volume Expansion CohortsREVE Cohorts stands for Range Extensions Volume Expansions Cohorts.
Volume is divided in four cohorts, these are depicted in the middle band with colors and histogram spikes.
0-80 percent i.e. low volumes; these get a green color and a narrow histogram bar
80-120 percent, normal volumes, these get a blue color and a narrow histogram bar
120-200 percent, high volume, these get an orange color and a wide histogram bar
200 and more percent is extreme volume, maroon color and wide bar.
All histogram bars have the same length. They point to the exact candle where the volume occurs.
Range is divided in two cohorts, these are depicted as candles above and below the middle band.
0-120 percent: small and normal range, depicted as single size, square candles
120 percent and more, wide range depicted as double size, rectangular candles.
The range candles are placed and colored according to the Advanced Price Algorithm (published script). If the trend is up, the candles are in the uptrend area, which is above the volume band, , downtrend candles below in the downtrend area. Dark blue candles depict a price movement which confirms the uptrend, these are of course in the uptrend area. In this area are also light red candles with a blue border, these depict a faltering price movement countering the uptrend. In the downtrend area, which is below the volume band, are red candles which depict a price movement confirming the downtrend and light blue candles with a red border depicting price movement countering the downtrend. A trend in the Advanced Price Algorithm is in equal to the direction of a simple moving average with the same lookback. The indicator has the same lagging.as this SMA.
Signals are placed in the vacated spaces, e.g. during an uptrend the downtrend area is vacated.
There are six signals, which arise as follows:
1 Two blue triangles up on top of each other: high or extreme volume in combination with wide range confirming uptrend. This indicates strong and effective up pressure in uptrend
2 Two pink tringles down on top of each other: high or extreme volume in combination with wide range down confirming downtrend. This indicates strong and effective down pressure in downtrend
3 Blue square above pink down triangle down: extreme volume in combination with wide range countering uptrend. This indicates a change of heart, down trend is imminent, e.g. during a reversal pattern. Down Pressure in uptrend
4 Pink square below blue triangle up: extreme volume in combination with wide range countering downtrend. This indicates a change of heart, reversal to uptrend is imminent. Up Pressure in downtrend
5 single blue square: a. extreme volume in combination with small range confirming uptrend, b. extreme volume in combination with small range countering downtrend, c. high volume in combination with wide range countering uptrend. This indicates halting upward price movement, occurs often at tops or during distribution periods. Unresolved pressure in uptrend
6 Single pink square: a extreme volume in combination with small range confirming downtrend, b extreme volume in combination with small range countering uptrend, c high volume in combination with wide range countering downtrend. This indicated halting downward price movement. Occurs often at bottoms or during accumulation periods. Unresolved pressure in downtrend.
The signals 5 and 6 are introduced to prevent flipping of signals into their opposite when the lookback is changed. Now signals may only change from unresolved in directional or vice versa. Signals 3 and 4 were introduced to make sure that all occurrences of extreme volume will result in a signal. Occurrences of wide volume only partly lead to a signal.
Use of REVE Cohorts.
This is the indicator for volume-range analyses that I always wanted to have. Now that I managed to create it, I put it in all my charts, it is often the first part I look at, In my momentum investment system I use it primarily in the layout for following open positions. It helps me a lot to decide whether to close or hold a position. The advantage over my previous attempts to create a REVE indicator (published scripts), is that this version is concise because it reports and classifies all possible volumes and ranges, you see periods of drying out of volume, sequences of falter candles, occurrences of high morning volume, warning and confirming signals.. The assessment by script whether some volume should be considered low, normal, high or extreme gives an edge over using the standard volume bars.
Settings of REVE Cohorts
The default setting for lookback is ‘script sets lookback’ I put this in my indicators because I want them harmonized, the script sets lookback according to timeframe. The tooltip informs which lookback will be set at which timeframe, you can enable a feedback label to show the current lookback. If you switch ‘script sets lookback’ off, you can set your own preferred user lookback. The script self-adapts its settings in such a way that it will show up from the very first bar of historical chart data, it adds volume starting at the fourth bar.
You can switch off volume cohorts, only range candles will show while the middle band disappears. Signals will remain if volume is present in the data. Some Instruments have no volume data, e.g. SPX-S&P 500 Index,, then only range candles will be shown.
Colors can be adapted in the inputs. Because the script calculates matching colors with more transparency it is advised to use 100 percent opacity in these settings.
Take care, Eykpunter
ICT Killzones + Pivots [TFO]Designed with the help of TTrades and with inspiration from the ICT Everything indicator by coldbrewrosh, the purpose of this script is to identify ICT Killzones while also storing their highs and lows for future reference, until traded through.
There are 5 Killzones / sessions whose times and labels can all be changed to one's liking. Some prefer slight alterations to traditional ICT Killzones, or use different time windows altogether. Either way, the sessions are fully customizable. The sessions will auto fit to keep track of the highs and lows made during their respective times, and these pivots will be extended until they are invalidated.
There are also 4 optional Open Price lines and 4 vertical Timestamps, where the user can change the time and style of each one as well.
To help maintain a clean chart, we can implement a Cutoff Time where all drawings will stop extending past a certain point. The indicator will apply this logic by default, as it can get messy with multiple drawings starting and stopping throughout the day at different times.
Given the amount of interest I've received about this indicator, I intend to leave it open to suggestions for further improvements. Let me know what you think & what you want to see added!
Range Deviations @joshuuuThis indicator is able to show ranges, the equlibrium (50%) and range deviations.
It has four pre-defined options and one custom version.
Asia (2000-0000) ny time
CBDR(1400-2000) ny time
Flout(1400-0000) ny time
ONS (OverNightSession)(0400-0800) chicago time
Custom (you can choose the times)
ICT (Inner Circle Traders) teaches, that those range deviations of asia,cbdr,flout can be used to find the daily high/low.
TCM (The Currency Merchant) teaches, that a move out of the range often is a false move to trap traders into the wrong direction.
Cuban's Range Reclaim [CE]Cuban's Range Reclaim is an indicator that minimizes the time that traders need to spend manually adjusting the range extremes and identifying range deviations.
By tracking the previous levels of the range, the indicator then signals to the trader when price trades back below that level, and assigns a 'Range High' or 'Range Low' print to the deviation. When there is a potential break in the trend, the indicator also prints a 'Pivot' label.
Among other features, the indicator tracks the midline of the range excluding the deviations, giving a far more accurate trend line with less signal noise than regular donchian channels.
There is also the option to view dynamic supply and demand within the channel, plus midlines for the supply and demand, and for a regular channel.
Within the user inputs, the indicator also allows the user to adjust the following:
Source input for range level confirmations
Period for range lookback
Supply and demand sensitivity
TO DO:
Allow for color changes within the Style menu
Average Variation Bands OscillatorSimilar to how a donchian% of channel helps to visualize trend and volatility, this tool helps identify those same characteristics, if the oscillator is generally above the 50 mark, it is considered to be trending upwards, and the reverse if it is generally bellow 50.
4H RangeThis script visualizes certain key values based on a 4-hour timeframe of the selected market on the chart. These values include the High, Mid, and Low price levels during each 4-hour period.
These levels can be helpful to identify inside range price action, chop, and consolidation. They can sometimes act as pivots and can be a great reference for potential entries and exits if price continues to hold the same range.
Here's a step-by-step overview of what this indicator does:
1. Inputs: At the beginning of the script, users are allowed to customize some inputs:
Choose the color of lines and labels.
Decide whether to show labels on the chart.
Choose the size of labels ("tiny", "small", "normal", or "large").
Choose whether to display price values in labels.
Set the number of bars to offset the labels to the right.
Set a threshold for the number of ticks that triggers a new calculation of high, mid, and low values.
* Tick settings may need to be increased on equity charts as one tick is usually equal to one cent.
For example, if you want to clear the range when there is a close one point/one dollar above or below the range high/low then on ES
that would be 4 ticks but one whole point on AAPL would be 100 ticks. 100 ticks on an equity chart may or may not be ideal due to
different % change of 100 ticks might be too excessive depending on the price per share.
So be aware that user preferred thresholds can vary greatly depending on which chart you're using.
2. Retrieving Price Data: The script retrieves the high, low, and closing price for every 4-hour period for the current market.
The script also calculates the mid-price of each 4-hour period (the average of the high and low prices).
3. Line Drawing: At the start of the script (first run), it draws three lines (high, mid, and low) at the levels corresponding to the high,
mid, and low prices. Users can also change transparency settings on historical lines to view them. Default setting for historical lines
is for them to be hidden.
4. Updating Lines and Labels: For each subsequent 4-hour period, the script checks whether the close price of the period has gone
beyond a certain threshold (set by user input) above the previous high or below the previous low. If it has, the script deletes the
previous lines and labels, draws new lines at the new high, mid, and low levels, and creates new labels (if the user has opted to
show labels).
5. Displaying Values in the Data Window: In addition to the visual representation on the chart, the script also plots the high, mid, and
low prices. These plotted values appear in the Data Window of TradingView, allowing users to see the exact price levels even when
they're not directly labeled on the chart.
6. Updating Lines and Labels Position: At the end of each period, the script moves the lines and labels (if they're shown) to the right,
keeping them aligned with the current period.
Please note: This script operates based on a 4-hour timeframe, regardless of the timeframe selected on the chart. If a shorter timeframe is selected on the chart, the lines and labels will appear to extend across multiple bars because they represent 4-hour price levels. If a longer timeframe is selected, the lines and labels may not accurately represent high, mid, and low levels within that longer timeframe.
TrendDECODER by MetaSignalsProTrendDECODER
The fastest indicator to detect trends and price ranges
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✔️ Identify ranges and the next probable direction
✔️ Get the earliest signals and the strength of Trends
✔️ Get clear exits signals before reversal
✔️ Spot the Fibo levels the price will test
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📌 What is it about ?
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TrendDECODER is a concentrate of multiple innovations to make Trend following simple and easy.
Please see in the 🛠️ Calculation & Precisions section at the end of this page to know more how they work.
👉 With the GreyBox - identify when the market gets out of the Trend with a new sequence of transition. Check if the market is in Range, Continuation or Reversal (Up or Down) and wait for the closing of the box to get the Trend signal.
👉 With the DecoderSignals & Blue/Orange Clouds - once the GreyBox has delivered its message, get the new direction of the Trend and see the probable zones of pull backs during the current direction.
👉 With the Projective TrendLine - see before it happens the direction and the possible angle of the Trend with its probable range.
👉 With the RealTime TrendLine vs the Projective TrendLine - adjust immediately if the market accelerates North or South.
👉 With the RealTime TrendLine Crossing - detect at the earliest the moment the Trend gets out of track, to get out of the train.
👉 With the FiboLevels - spot immediately which price levels the market will test.
📌 For which asset?
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TrendDECODER is universal : it works fine on all assets and all time-frames;
☝️ always work on a multi-timeframe environment to minimize risk;
📌Why we made these innovations?
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Because the trend indicators that we know, lag a lot and do not clearly identify ranges!
We need much more powerful tools than Supertrend or a couple of moving averages crossings to get this done.
📌 How to trade with TrendDECODER?
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🔹 Strategy #1: Trend Following : DecoderSignals & Blue/Orange Clouds
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The GreyBOX has given the next probable movement and the Signal of a Trend in on.
The RealTime TrendLine guides us on the pace of this movement and the Blue/ Orange/Cloud figures the support/resistance of this movement.
It will be wise not to jump immediately in the Trend as the signal appears as the price will very probably make a pullback in direction of the cloud first.
🔹 Strategy #1: Checklist
📍 Set a Multi Time Frame environment
📍 Main Time Frame and the Upper Time Frame are moving in the same direction (Up or Down)
📍 Main Time Frame: appearance of the « TrendUp Signal » or the « TrendDown Signal »
📍 Entry:
☝️ buying « at Market » immediately on a « Trend Signal » is quite risky as many times the price will pull back near the Clouds
👉 a good option is to buy 1/2 the position at market on signal
👉 and 1/2 after the first pull back
📍 First Stop Loss: place your SL under the lower border of the GreyBox for an expected TrendUp or the higher border for an expected TrendDown
📍 BreakEven: when the price reaches your Risk/Reward ratio of 1 = Distance StopLoss vs Entry = Distance Current Price vs Entry
📍 Trailing Stop: just under the lowest border of the Blue Cloud (TrendUp) or the highest border of the Orange Cloud (TrendDown)
📍 TakeProfits: in a TrendUP, place your take profits just under the FibosLevels in order not to get exited (and above in a TrendDOWN)
📍 Exits:
👉 Early option : Crossing of the RealTime TrendLine
👉 Late option : Crossing of the Blue/Orange cloud
🔹 Strategy #2: Early Trend following : RealTime TrendLine Crossing
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With this simple tool, get a very early signal of a probable inversion of the current Trend, way before the Decoder Signal is shown, once confirmed by the GreyBOX.
🔹 Strategy #2: Checklist
📍 Set a Multi Time Frame environment
📍 Main Time Frame and the Upper Time Frame are moving in the same direction (Up or Down)
📍 Entry (Main Time Frame): wait for the Close crossing over the ReaTime TrendLine in an expected TrendUp (under for a TrendDown )
📍 First Stop Loss (Main Time Frame):
👉 place your SL under the lower low of the GreyBOX (for an expected TrendUp) or the higher high (for an expected TrendDown)
📍 BreakEven: move your SL to Entry price when the price reaches your Risk/Reward ratio of 1 = Distance StopLoss vs Entry = Distance Current Price vs Entry
📍 Trailing Stop: just under the lowest border of the Blue Cloud (TrendUp) or the highest border of the Orange Cloud (TrendDown)
📍 TakeProfits: in a TrendUP, place your take profits just under the FibosLevels in order not to get exited (and above in a TrendDOWN)
📍 Exits:
👉 Early option : Crossing of the RealTime TrendLine
👉 Late option : Crossing of the Blue/Orange cloud
🎛️ Configuration
---------------------
Well, basically you do not have to do anything !
But you can make TrendDECODER perfectly yours with a few switches in the configuration panel to make appear or disappear each one of the elements composing TrendDECODER.
🛠️ Calculation & Precisions
------------------------------------
🔹 Blue/Orange Clouds
The Blue/Orange Clouds are a proprietary synthesis of Price Action and Volume Exchange in real time.
🔹 Projective TrendLine
As soon as a new high or a new low has been reached during the last move, TrendDECODER traces a possible angle of the future movement based on the pace of the last one in the same direction.
The distance between the Projective TrendLine and the Last Lowest (resp. Highest) gives you a possible bottom (resp. top) of the price range.
🔹 RealTime TrendLine
As soon as the Decoder GreyBox has delivered its information i.e Range/Continuation/ReversalUp/ReversalDown and that a New High (resp. New Low) has been reached, the RealTime TrendLine starts to show the pace and the angle of the new movement based on a linear regression adanced concept.
The angles of the Projective and the RealTime TrendLine can be identical, telling you that the market moves smoothly in a global consensus. It can be a smart Trailing Stop Loss.
Or these angles can be very different and it will call your maximum attention. You might want to switch to a superior timeframe to get the bigger picture.
🔹 FiboLevels
Once a new Trend is signaled, the levels of Fibonnaci are automatically placed.
They are calculated on the last Highest and Lowest of the former movement.
SuperTrend with Chebyshev FilterModified Super Trend with Chebyshev Filter
The Modified Super Trend is an innovative take on the classic Super Trend indicator. This advanced version incorporates a Chebyshev filter, which significantly enhances its capabilities by reducing false signals and improving overall signal quality. In this post, we'll dive deep into the Modified Super Trend, exploring its history, the benefits of the Chebyshev filter, and how it effectively addresses the challenges associated with smoothing, delay, and noise.
History of the Super Trend
The Super Trend indicator, developed by Olivier Seban, has been a popular tool among traders since its inception. It helps traders identify market trends and potential entry and exit points. The Super Trend uses average true range (ATR) and a multiplier to create a volatility-based trailing stop, providing traders with a dynamic tool that adapts to changing market conditions. However, the original Super Trend has its limitations, such as the tendency to produce false signals during periods of low volatility or sideways trading.
The Chebyshev Filter
The Chebyshev filter is a powerful mathematical tool that makes an excellent addition to the Super Trend indicator. It effectively addresses the issues of smoothing, delay, and noise associated with traditional moving averages. Chebyshev filters are named after Pafnuty Chebyshev, a renowned Russian mathematician who made significant contributions to the field of approximation theory.
The Chebyshev filter is capable of producing smoother, more responsive moving averages without introducing additional lag. This is possible because the filter minimizes the worst-case error between the ideal and the actual frequency response. There are two types of Chebyshev filters: Type I and Type II. Type I Chebyshev filters are designed to have an equiripple response in the passband, while Type II Chebyshev filters have an equiripple response in the stopband. The Modified Super Trend allows users to choose between these two types based on their preferences.
Overcoming the Challenges
The Modified Super Trend addresses several challenges associated with the original Super Trend:
Smoothing: The Chebyshev filter produces a smoother moving average without introducing additional lag. This feature is particularly beneficial during periods of low volatility or sideways trading, as it reduces the number of false signals.
Delay: The Chebyshev filter helps minimize the delay between price action and the generated signal, allowing traders to make timely decisions based on more accurate information.
Noise Reduction: The Chebyshev filter's ability to minimize the worst-case error between the ideal and actual frequency response reduces the impact of noise on the generated signals. This feature is especially useful when using the true range as an offset for the price, as it helps generate more reliable signals within a reasonable time frame.
The Great Replacement
The Modified Super Trend with Chebyshev filter is an excellent replacement for the original Super Trend indicator. It offers significant improvements in terms of signal quality, responsiveness, and accuracy. By incorporating the Chebyshev filter, the Modified Super Trend effectively reduces the number of false signals during low volatility or sideways trading, making it a more reliable tool for identifying market trends and potential entry and exit points.
In-Depth Guide to the Modified Super Trend Settings
The Modified Super Trend with Chebyshev filter offers a wide range of settings that allow traders to fine-tune the indicator to suit their specific trading styles and objectives. In this section, we will discuss each setting in detail, explaining its purpose and how to use it effectively.
Source
The source setting determines the price data used for calculations. The default setting is hl2, which calculates the average of the high and low prices. You can choose other price data sources such as close, open, or ohlc4 (average of open, high, low, and close prices) based on your preference.
Up Color and Down Color
These settings control the color of the trend line when the market is in an uptrend (up_color) and a downtrend (down_color). You can customize these colors to your liking, making it easier to visually identify the current market trend.
Text Color
This setting controls the color of the text displayed on the chart when using labels to indicate trend changes. You can choose any color that contrasts well with your chart background for better readability.
Mean Length
The mean_length setting determines the length (number of bars) used for the Chebyshev moving average calculation. A shorter length will make the moving average more responsive to price changes, while a longer length will produce a smoother moving average. It is crucial to find the right balance between responsiveness and smoothness, as a too-short length may generate false signals, while a too-long length might produce lagging signals. The default value is 64, but you can experiment with different values to find the optimal setting for your trading strategy.
Mean Ripple
The mean_ripple setting influences the Chebyshev filter's ripple effect in the passband (Type I) or stopband (Type II). The ripple effect represents small oscillations in the frequency response, which can impact the moving average's smoothness. The default value is 0.01, but you can experiment with different values to find the best balance between smoothness and responsiveness.
Chebyshev Type: Type I or Type II
The style setting allows you to choose between Type I and Type II Chebyshev filters. Type I filters have an equiripple response in the passband, while Type II filters have an equiripple response in the stopband. Depending on your preference for smoothness and responsiveness, you can choose the type that best fits your trading style.
ATR Style
The atr_style setting determines the method used for calculating the Average True Range (ATR). By default (false), it uses the traditional high-low range. When set to true, it uses the absolute difference between the open and close prices. You can choose the method that works best for your trading strategy and the market you are trading.
ATR Length
The atr_length setting controls the length (number of bars) used for calculating the ATR. Similar to the mean_length, a shorter length will make the ATR more responsive to price changes, while a longer length will produce a smoother ATR. The default value is 64, but you can experiment with different values to find the optimal setting for your trading strategy.
ATR Ripple
The atr_ripple setting, like the mean_ripple, influences the ripple effect of the Chebyshev filter used in the ATR calculation. The default value is 0.05, but you can experiment with different values to find the best balance between smoothness and responsiveness.
Multiplier
The multiplier setting determines the factor by which the ATR is multiplied before being added
Super Trend Logic and Signal Optimization
The Modified Super Trend with Chebyshev filter is designed to minimize false signals and provide a clear indication of market trends. It does so by using a combination of moving averages, Average True Range (ATR), and a multiplier. In this section, we will discuss the Super Trend's logic, its ability to prevent false signals, and the early warning crosses added to the indicator.
Super Trend Logic
The Super Trend's logic is based on a combination of the Chebyshev moving average and ATR. The Chebyshev moving average is a smooth moving average that effectively filters out market noise, while the ATR is a measure of market volatility.
The Super Trend is calculated by adding or subtracting a multiple of the ATR from the Chebyshev moving average. The multiplier is a user-defined value that determines the distance between the trend line and the price action. A larger multiplier results in a wider channel, reducing the likelihood of false signals but potentially missing out on valid trend changes.
Preventing False Signals
The Super Trend is designed to minimize false signals by maintaining its trend direction until a significant change in the market occurs. In a downtrend, the trend line will only decrease in value, and in an uptrend, it will only increase. This helps prevent false signals caused by temporary price fluctuations or market noise.
When the price crosses the trend line, the Super Trend does not immediately change its direction. Instead, it employs a safety logic to ensure that the trend change is genuine. The safety logic checks if the new trend line (calculated using the updated moving average and ATR) is more extreme than the previous one. If it is, the trend line is updated; otherwise, the previous trend line is maintained. This mechanism further reduces the likelihood of false signals by ensuring that the trend line only changes when there is a significant shift in the market.
Early Warning Crosses
To provide traders with additional insight, the Modified Super Trend with Chebyshev filter includes early warning crosses. These crosses are plotted on the chart when the price crosses the trend line without the safety logic. Although these crosses do not necessarily indicate a trend change, they can serve as a valuable heads-up for traders to monitor the market closely and prepare for potential trend reversals.
In conclusion, the Modified Super Trend with Chebyshev filter offers a significant improvement over the original Super Trend indicator. By incorporating the Chebyshev filter, this modified version effectively addresses the challenges of smoothing, delay, and noise reduction while minimizing false signals. The wide range of customizable settings allows traders to tailor the indicator to their specific needs, while the inclusion of early warning crosses provides valuable insight into potential trend reversals.
Ultimately, the Modified Super Trend with Chebyshev filter is an excellent tool for traders looking to enhance their trend identification and decision-making abilities. With its advanced features, this indicator can help traders navigate volatile markets with confidence, making more informed decisions based on accurate, timely information.
Range Sentiment Profile [LuxAlgo]The Range Sentiment Profile indicator is inspired from the volume profile and aims to indicate the degree of bullish/bearish variations within equidistant price areas inside the most recent price range.
The most bullish/bearish price areas are highlighted through lines extending over the entire range.
🔶 SETTINGS
Length: Most recent bars used for the calculation of the indicator.
Rows: Number of price areas the price range is divided into.
Use Intrabar: Use intrabar data to compute the range sentiment profile.
Timeframe: Intrabar data timeframe.
🔶 USAGE
This tool can be used to easily determine if a certain price area contain more significant bullish or bearish price variations. This is done by obtaining an estimate of the accumulation of all the close to open variations occurring within a specific profile area.
A blue range background indicates a majority of bullish variations within each area while an orange background indicates a majority of bearish variations within each area.
Users can easily identify the areas with the most bullish/bearish price variations by looking at the bullish/bearish maximums.
It can be of interest to see where profile bins might have no length, these can indicate price areas with price variations with alternating signs (bullish variations are followed by a bearish sign) and similar body. They can also indicate a majority of either bullish or bearish variations alongside a minority of more significant opposite variations.
These areas can also provide support/resistance, as such price entering these areas could reverse.
Users can obtain more precise results by allowing the profile to use intrabar data. This will change the calculation of the profile, see the details section for more information.
🔶 DETAILS
The Range Sentiment Profile's design is similar to the way a volume profile is constructed.
First the maximum/minimum values over the most recent Length bars are obtained, these define the calculation range of the profile.
The range is divided into Rows equidistant areas. We then see if price lied within a specific area, if it's the case we accumulate the difference between the closing and opening price for that specific area.
Let d = close - open . The length of the bin associated to a specific area is determined as follows:
length = Width / 100 * Area / Max
Where Area is the accumulated d within the area, and Max the maximum value between the absolute value of each accumulated d of all areas.
The percentage visible on each bin is determined as 100 multiplied by the accumulated d within the area divided by the total absolute value of d over the entire range.
🔹 Intrabar Calculation
When using intrabar data the range sentiment profile is calculated differently.
For a specific area and candle within the interval, the accumulated close to open difference is accumulated only if the intrabar candle of the user selected timeframe lies within the area.
This can return more precise results compared to the standard method, at the cost of a higher computation time.
Days in rangeThis script is a little widget that I made to do some homework on the VIX.
As you can see in the chart I was analyzing the 2008 market crash and the stats that followed it after until the market started to recover.
You can see that theory in my "Ideas" tab.
This is an interactive set of lines that you can use to count the the bars inside and outside of your chosen range, and the percentage outside that range.
You should initially enter the price range of your product in the menu and set some arbitrary dates that you can easily see on your chart.
Drag and drop the lines around to suit what price and the dates you are analyzing.
The table will display the bar count inside and outside of the range, the total bars, and the percentage outside that range.
I personally used this as a tool to study the overall average of the product, compared with the behavior during major market events.
It is currently my opinion that post 2020 analysis needs to take into account the behavior of any given product prior to 2020 when the
VIX was in its comfort zone. Not to say that a price valuation hasn't been set, but that the movement to that price was outside of "Normal Market Conditions,"
and the time factor to return to that value might be skewed. Other factors would need to be considered at that point pertaining to your specific product or corelating indicator.
I could see this tool being useful to Forex and commodities traders. But that isn't my field so that that for what it is. I do think it would perform best on something that is more
pegged to a price range. I personally would use it on product's, like the VIX, that I use as an indicator product. That is what it was designed for.
But I suppose it could be used for Mean price and time related analysis, maybe with a Vwap, SMA or other breakout style indicators.
Volume analysis might be pretty sporty. Possibly time patterns... the possibilities could be endless. Or... limited.
I am publishing this for my trade group so that it can be tinkered with to find other helpful ways to use it.
If anyone finds something interesting with other indicators, please drop a comment below and I could consider creating a script to integrate with this tool.
[TTI] Eric Krull's YTD Market Indexes––––HISTORY & CREDITS 🏦
The Eric Krull's Index and Sector Performance Indicator is a powerful tool designed to provide users with a comprehensive view of the market's health and leading sectors. This innovative indicator analyzes various indexes and sectors, including the Nasdaq Composite, Renaissance IPO ETF, NYSE Composite, DJIA, and SP500, as well as 11 custom (user input) ETFs representing major sectors. By offering a detailed look at these indexes and sectors, users can better understand market trends and make informed trading decisions. Credit for the indicator goes to Eric Krull from the Lifecycle Trade team who has showcased the idea for it.
––––WHAT IT DOES 💡
The Eric Krull's Index and Sector Performance Indicator allows traders to:
👉 Monitor the performance of various market indexes, such as the Nasdaq Composite, Renaissance IPO ETF, NYSE Composite, DJIA, and SP500 and compare them to one another
👉Track the performance of 11 user input tickers or ETFs representing major sectors, providing insights into market trends and sector strength (could also compare stocks or other instruments like bonds, crypto or FOREX)
👉Assess overall market health by analyzing the Year-to-Date (YTD) performance of the selected indexes and input tickers.
👉Calculate where in the year to date range is the ticker/sector currently since the beginning of the year.
––––HOW TO USE IT 🔧
Using the Eric Krull's Index and Sector Performance Indicator is simple:
👉Add the indicator to your TradingView chart by searching for " Eric Krull's YTD Market Indexes" in the indicators list.
👉Customize the indicator by entering your desired symbols for the 11 custom ETFs, representing the major sectors you wish to analyze.
👉Adjust the table position on your chart by selecting from the available options: Top Left, Top Center, Top Right, Middle Left, Middle Center, Middle Right, Bottom Left, Bottom Center, or Bottom Right.
👉Review the table to analyze the YTD performance, percentage change, and range of each index and sector, which will help you identify leading sectors and gauge overall market health. Compare the sectors against one another to see where money are flowing in and also compare the overall performance in the index.
By utilizing the Eric Krull's Index and Sector Performance Indicator, you can make informed trading decisions based on the current market trends and sector performance. Stay ahead of the market by understanding which sectors are leading and use this knowledge to adapt your trading strategy accordingly.
Range Filter x Hull SuiteRange Filter x Hull Suite
This indicator is a hybrid of two popular indicators, with a twist; namely the Range Filter (Guikroth version) and the Hull Suite (by Insilico) .
Originally developed as a 1 minute trend following strategy and traded during the New York Session for it's typically high volume / likely trending nature, it provides entry signals based on the following logic:
For bullish entry signals:
The first bullish* candle (*defined by the Range Filter bar color logic, blue by default - which is not necessarily technically a bullish candle as defined by the OHLC values) which appears after the consolidation candles (also defined by the Range Filter bar color logic, orange by default), and where the Hull Suite moving average is also bullish.
For bearish entry signals:
The first bearish* candle (*defined by the Range Filter bar color logic, red by default - which is not necessarily technically a bearish candle as defined by the OHLC values) which appears after the consolidation candles (also defined by the Range Filter bar color logic, orange by default), and where the Hull Suite moving average is also bearish.
The indicator aims to filter out signals where possible consolidation is occurring and comes with styling options and alternative filter options such as a triple moving average trend detection method. Signals can also be filtered by a specific trading session. Standard options for the Range Filter and Hull Suite settings are also able to be customised within the settings menu.
Alerts
Various alerts are built-in, including the custom entry signals unique to this strategy.
Note : The above features listed above are accurate at the time of publishing, but may be altered in future.
Many thanks to guikroth & Insilico for sharing their open source indicators, and also to the original developer of the strategy itself for sharing it.
Range of a source displayed in thirdsThis indicator will take the value of any external source input and display how it has changed over time (the lookback period in settings). For the purposes of display here I'm using the WT1 line from Wavetrend with Crosses by LazyBear to provide a source input.
The highest and lowest value of the source over the lookback period are used to determine the highest and lowest point - the green and red lines at the top and bottom of the bands. This region is then mathematically split into three, such that the source (and its optional moving average line) can be defined as being in the top third, the middle or the bottom third.
Applications for this could be in risk management where you may wish to take on a larger position size when a certain indicator is in the top third, or decide that you want to enter / leave positions when the source crosses in / out of the extreme points.
AUTOMATIC GRID BOT STRATEGY [ilovealgotrading]
OVERVIEW:
This Grid trading strategy can help you maximize your profit in a ranging sideways market with no clear direction.
INDICATOR:
We can get some money by taking advantage of the movement of the price between the range we have determined.
Short positions are opened while the price is rising, long positions are opened while the price is falling.
Therefore, there is no need to predict the trend direction.
What is different in this indicator:
I want to say thank you to © thequantscience. His GRID SPOT TRADING ALGORITHM - GRID BOT TRADING strategy helped me when I was writing my indicator.
I want to explain what I have improved:
1- Grid strategy is a type of strategy that can be traded in very short time frames and users can trade this strategy algorithmically by connecting this strategy to their own accounts with the help of API systems. For this reason, I have developed a software that can give us signals by dynamically changing the long and short messages when users are trading.
2- We can change the start and end dates of our grid bot as we want. It is necessary to use this setting when setting up automatic bots, so that previously opened transactions are not taken into account.
3 - Lot or quantity size should not be excessively small when users are taking automatic trades because exchanges have limitations, to avoid this problem, I have prevented this error by automatically rounding up to the nearest quantity size inside the software.
4 - Users can avoid excessive losses by using stop loss on this grid bot if they wish.
5 - When our price is over the range high or below the range low, our open positions are closed, if the stop button is active. We can also change which close price time frame we take as a basis from the settings.
6 -Users can set how many dollars they can enter per transaction while performing their transactions automatically.
IMPLEMENTATION DETAILS – SETTINGS:
This script allows the user to choose the highs and lows leves of our range. Our bot trades in the specified range.
1. This strategy allows us to set start and end backtest dates.
2. We can change range high and range low leves of our bot
3. IF people want to trade algorithmically with the help of this bot, there are 6 different input systems that will receive the Json codes as an alarm
4. IF the price closes above the upper line or below the lower line, all transactions will be closed. We can determine in which time frame our transactions will be stopped if the price closes outside these levels.We can adjust how our bot works by activating or turning off the Stop Loss button.
5. In this strategy, you can determine your dollar cost for per position.
6. The user can also divide the interval we have determined into 10 parts or 20 equal parts.
7. The grid is divided and colored at the interval we set. At the same time, if we don't want we can turn off colored channels.
Notes:
If you're going to connect this bot to an automatic Long and Short direction,
Don’t forget! you need to Webhook URL,
Don’t miss paste this code to your message window {{strategy.order.alert_message}}
ALSO:
Set your range below the support zones and above the resistance zones.
Don't be afraid to take a wide range, it doesn't matter if you make a little money, the important thing is that you don't lose money.
If you have any ideas what to add to my work to add more sources or make calculations cooler, suggest in DM .
Open RangeThis is a simple script that will look back a set number of candles at a specified time (example: Ny Open) and find the "High and Low " of the range/ market in the given look back period. It will then draw two lines and the range zone as a box. Breakout traders can use these levels to help find interesting areas for a breakout. Reversal traders can use these levels to help locate false breakouts.
Simple type in your time zone Example: GMT-4
Set the time you want the indicator to draw the start line Example: 8:30am
then set the candle look back Example: 60
Hope this script helps spark some ideas
Happy trading
TradeEasy - KintroThe TradingView script provided is a custom indicator named "TradeEasy - Kintro". It is created by the author Kintro and is designed to help traders identify potential buy and sell signals in the market. The indicator is based on the Exponential Moving Average (EMA) and uses two different EMAs, one with a period of 20 and the other with a period of 50.
The indicator is meant to be used on the 5-minute timeframe and it is recommended to use TradingView in Dark Mode for better appearance. The author also reminds users that no strategy works 100% accurately and backtesting should be done before trading with a real account. The author is not responsible for any losses incurred by traders.
The indicator uses a simple set of rules to generate trading signals. The thick line on the chart represents the 50 EMA while the thin line represents the 20 EMA. When the thin line crosses upwards over the thick line, it indicates a bullish signal. After the crossover, traders are advised to wait for the price to pullback between the two lines. A range should then be created while the price moves through the thin line.
On the break of the range, an entry signal is generated, and the stop loss should be set below the range. The author advises traders to exit their profits according to their own analysis or price action and not to re-enter on the next pullback of the same trend. The same rules apply when the thin line crosses downwards over the thick line.
The author emphasizes that range creation is mandatory on crossing and that traders should not try to go against the trend. If the price is above both lines, traders should only go for buy orders, and vice versa.
If there is no range created while crossing, traders are advised not to enter the market. Traders should wait for the opportunity and not force a trade.
The indicator also includes a plot of the 34 EMA, and a range is created above and below the price action using the "up" and "down" variables. The author uses the "fill" function to color the background of the chart to highlight the range. The "dummy" variable is used to plot circles above or below the price action, depending on the trend.
In summary, the "TradeEasy - Kintro" indicator is a custom indicator designed to help traders identify potential buy and sell signals based on the crossing of two EMAs. The author provides a set of rules to generate trading signals and advises traders to wait for the opportunity and not force a trade. The indicator also includes a visual representation of the range created on the chart. As always, traders are advised to conduct their own research and analysis before entering any trades.
GKD-C Jurik-Smoothed Range Oscillator w/ Bands [Loxx]Giga Kaleidoscope GKD-C Jurik-Smoothed Range Oscillator w/ Bands is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the Stochastic Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Jurik-Smoothed Range Oscillator w/ Bands as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ GKD-C Jurik-Smoothed Range Oscillator w/ Bands
What is Jurik Filter?
The Jurik Filter is a technical analysis tool that is used to filter out market noise and identify trends in financial markets. It was developed by Mark Jurik in the 1990s and is based on a non-linear smoothing algorithm that provides a more accurate representation of price movements.
Traditional moving averages, such as the Simple Moving Average ( SMA ) or Exponential Moving Average ( EMA ), are linear filters that produce a lag between price and the moving average line. This can cause false signals during periods of market volatility , which can result in losses for traders and investors.
The Jurik Filter is designed to address this issue by incorporating a damping factor into the smoothing algorithm. This damping factor adjusts the filter's responsiveness to the changes in price, allowing it to filter out market noise without overshooting price peaks and valleys.
The Jurik Filter is calculated using a mathematical formula that takes into account the current and past prices of an asset, as well as the volatility of the market. This formula incorporates the damping factor and produces a smoother price curve than traditional moving average filters.
One of the advantages of the Jurik Filter is its ability to adjust to changing market conditions. The damping factor can be adjusted to suit different securities and time frames, making it a versatile tool for traders and investors.
Traders and investors often use the Jurik Filter in conjunction with other technical analysis tools, such as the MACD or RSI , to confirm or complement their trading strategies. By filtering out market noise and identifying trends in the financial markets, the Jurik Filter can help improve the accuracy of trading signals and reduce the risks of false signals during periods of market volatility .
Overall, the Jurik Filter is a powerful technical analysis tool that can help traders and investors make more informed decisions about buying and selling securities. By providing a smoother price curve and reducing false signals, it can help improve trading performance and reduce risk in volatile markets.
What is Jurik-Smoothed Range Oscillator w/ Bands
Range Oscillator indicator shows the relative position of median price in the highest high to lowest low range for desired period.
This version includes smoothing to clean up false signals and, since the smoothing method is JMA (which has very small lag), the added lag is as small as it can be making it much easier to use for all timeframes.
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation Complex: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest strategy
Additional features will be added in future releases.
VWAP Bollinger Band Crossover Breakout with ResistanceCredit to © Jesus_Salvatierra for VWAP script
This script help you find a trend in momentum stock that is about to breakout and shows resistance point. This script utilizes Bollinger bands VWAP and is good for intra day charts.
VWAP, or Volume Weighted Average Price, is a technical analysis tool used to measure the average price a security trades at during a given time period, weighted by the trading volume for each price level. It is commonly used by traders and investors to identify the true average price of a security and to assess whether they are buying or selling at a fair price.
A Bollinger Band is a technical analysis tool that uses standard deviation to measure the volatility of a security. The Bollinger Band is typically composed of three lines: the upper band, the lower band, and the middle band. The middle band is a simple moving average of the security's price, while the upper and lower bands are calculated based on the standard deviation of the security's price.
A Bollinger Band crossover occurs when the price of a security crosses above or below one of the bands. When the price crosses above the upper band, it is considered overbought, while when it crosses below the lower band, it is considered oversold. Traders often use Bollinger Band crossovers as a signal to enter or exit a position, depending on their trading strategy.
The VWAP and Bollinger Band crossover are two separate technical analysis tools that can be used in conjunction with each other. When a security's price crosses above or below the Bollinger Band, traders may look to the VWAP to confirm whether the security is trading at a fair price. If the security is trading above the VWAP, it may be overvalued, while if it is trading below the VWAP, it may be undervalued. Similarly, traders may use the Bollinger Band crossover as a signal to enter or exit a position, while also taking into account the VWAP to assess whether the price is fair.
