📅 Non-Euclidean Fib Gibbonaci📅 *Non-Euclidean Fib Gibbonaci**
This indicator dynamically identifies high-probability liquidity zones using a combination of **weekly market structure**, **asymmetric Fibonacci geometry**, and **volume clustering**.
### 🔍 **What It Does:**
* **Detects Weekly Structure Shifts:**
Automatically checks each new week for a break in weekly highs or lows. If a structural change is detected, all liquidity levels are recalculated.
* **Builds Non-Euclidean Fibonacci Ranges:**
Instead of traditional swing-based Fibs, this indicator creates a **distorted Fibonacci zone** around the weekly close using the Golden Ratio (φ ≈ 1.618). This generates asymmetric, forward-projected Fib levels.
* **Volume-Based Liquidity Zones:**
For each projected level, volume is accumulated from the past 50 bars when the price closed near that level. These volumes are then **tiered dynamically based on the previous week’s total volume**.
* **5 Dynamic Volume Tiers:**
Liquidity levels are color-coded based on volume interaction:
* 🔴 **Very High**
* 🟠 **High**
* 🟡 **Mid**
* 🔵 **Low**
* ⚪ **Very Low**
(Thresholds are based on **percentage of last week’s volume**, fully adjustable via settings.)
* **Smart Drawing Engine:**
* Only draws when structure changes.
* Includes inverse bands (bottom-up projections), midlines (optional), and clean auto-clearing of old levels.
* Optional labels show Fib level and volume tier.
* **Predictive Liquidity Zones:**
High-volume extension levels (e.g. Fib 1.272 or above) trigger **"🔺 Potential Top"** and **"🔻 Potential Bottom"** labels, helping to forecast potential exhaustion zones.
---
### ⚙️ **Customizable Settings:**
* Enable/disable:
* Inverse Fibonacci bands
* Midlines between bands
* Volume-based labels
* Adjust:
* Volume tier thresholds (% of prior weekly volume)
* Label display filtering (only show top tiers)
---
### ✅ **Best Used For:**
* Traders who want to identify **key liquidity zones** based on structural shifts.
* Spotting **volume-backed Fib confluences** that may act as magnets or reversal zones.
* Forecasting **potential tops/bottoms** using historical price/volume behavior — dynamically, and in context.
---
### 🚫 No Repainting:
Once weekly structure is established, levels do not repaint. Volume clustering is based on actual historic bar closes.
---
Let me know if you want a shorter version or a version with emojis minimized for a more formal audience.
Genişlik Göstergeleri
Yelober - Intraday ETF Dashboard# How to Read the Yelober Intraday ETF Dashboard
The Intraday ETF Dashboard provides a powerful at-a-glance view of sector performance and trading opportunities. Here's how to interpret and use the information:
## Basic Dashboard Reading
### Color-Coding System
- **Green values**: Positive performance or bullish signals
- **Red values**: Negative performance or bearish signals
- **Symbol colors**: Green = buy signal, Red = sell signal, Gray = neutral
### Example 1: Identifying Strong Sectors
If you see XLF (Financials) with:
- Day % showing +2.65% (green background)
- Symbol in green color
- RSI of 58 (not overbought)
**Interpretation**: Financial sector is showing strength and momentum without being overextended. Consider long positions in top financial stocks like JPM or BAC.
### Example 2: Spotting Weakness
If you see XLK (Technology) with:
- Day % showing -1.20% (red background)
- Week % showing -3.50% (red background)
- Symbol in red color
- RSI of 35 (approaching oversold)
**Interpretation**: Technology sector is showing weakness across multiple timeframes. Consider avoiding tech stocks or taking short positions in names like MSFT or AAPL, but be cautious as the low RSI suggests a bounce may be coming.
## Advanced Interpretations
### Example 3: Sector Rotation Detection
If you observe:
- XLE (Energy) showing +2.10% while XLK (Technology) showing -1.50%
- Both sectors' Week % values showing the opposite trend
**Interpretation**: This suggests money is rotating out of technology into energy stocks. This rotation pattern is actionable - consider reducing tech exposure and increasing energy positions (look at XOM, CVX in the Top Stocks column).
### Example 4: RSI Divergences
If you see XLU (Utilities) with:
- Day % showing +0.50% (small positive)
- RSI showing 72 (overbought, red background)
**Interpretation**: Despite positive performance, the high RSI suggests the sector is overextended. This divergence between price and indicator suggests caution - the rally in utilities may be running out of steam.
### Example 5: Relative Strength in Weak Markets
If SPY shows -1.20% but XLP (Consumer Staples) shows +0.30%:
**Interpretation**: Consumer staples are showing defensive strength during market weakness. This is typical risk-off behavior. Consider defensive positions in stocks like PG, KO, or PEP for protection.
## Practical Application Scenarios
### Day Trading Setup
1. **Morning Market Assessment**:
- Check which sectors are green pre-market
- Focus on sectors with Day % > 1% and RSI between 40-70
- Identify 2-3 stocks from the Top Stocks column of the strongest sector
2. **Midday Reversal Hunting**:
- Look for sectors with symbol color changing from red to green
- Confirm with RSI moving away from extremes
- Trade stocks from that sector showing similar pattern changes
### Swing Trading Application
1. **Trend Following**:
- Identify sectors with positive Day % and Week %
- Look for RSI values in uptrend but not overbought (45-65)
- Enter positions in top stocks from these sectors, using daily charts for confirmation
2. **Contrarian Setups**:
- Find sectors with deeply negative Day % but RSI < 30
- Look for divergence (price making new lows but RSI rising)
- Consider counter-trend positions in the stronger stocks within these oversold sectors
## Reading Special Conditions
### Example 6: Risk-Off Environment
If you observe:
- XLP (Consumer Staples) and XLU (Utilities) both green
- XLK (Technology) and XLY (Consumer Disc) both red
- SPY slightly negative
**Interpretation**: Classic risk-off rotation. Investors are moving to safety. Consider defensive positioning and reducing exposure to growth sectors.
### Example 7: Market Breadth Analysis
Count the number of sectors in green vs. red:
- If 7+ sectors are green: Strong bullish breadth, consider aggressive long positioning
- If 7+ sectors are red: Weak market breadth, consider defensive positioning or shorts
- If evenly split: Market is indecisive, focus on specific sector strength instead of broad market exposure
Remember that this dashboard is most effective when combined with broader market analysis and appropriate risk management strategies.
DeMarker Manual v6-CompatibleThis is an indicator that allows you to see all the border coastal powers and it is also the bodd and not light year.
Spaghetti 2.0 - Multi-Asset Performance [By Barbell_Fi]This is an updated and more opinionated take on the original Spaghetti indicator.
Multi Asset Performance indicator (also called “Spaghetti”) makes it easy to monitor the changes in Price, Open Interest, and On Balance Volume across multiple assets simultaneously, distinguish assets that are overperforming or underperforming, observe the relative strength of different assets or currencies, use it as a tool for identifying mean reversion opportunities and even for constructing pairs trading strategies, detect "risk-on" or "risk-off" periods, evaluate statistical relationships between assets through metrics like correlation and beta, construct hedging strategies, trade rotations and much more.
Start by selecting a time period (e.g., 1 DAY) to set the interval for when data is reset. This will provide insight into how price, open interest, and on-balance volume change over your chosen period. In the settings, asset selection is fully customizable, allowing you to create three groups of up to 30 tickers each. These tickers can be displayed in a variety of styles and colors. Additional script settings offer a range of options, including smoothing values with a Simple Moving Average (SMA), highlighting the top or bottom performers, plotting the group mean, applying heatmap/gradient coloring, generating a table with calculations like beta, correlation, and RSI, creating a profile to show asset distribution around the mean, and much more.
One of the most important script tools is the screener table, which can display:
🔸 Percentage Change (Represents the return or the percentage increase or decrease in Price/OI/OBV over the current selected period)
🔸 Beta (Represents the sensitivity or responsiveness of asset's returns to the returns of a benchmark/mean. A beta of 1 means the asset moves in tandem with the market. A beta greater than 1 indicates the asset is more volatile than the market, while a beta less than 1 indicates the asset is less volatile. For example, a beta of 1.5 means the asset typically moves 150% as much as the benchmark. If the benchmark goes up 1%, the asset is expected to go up 1.5%, and vice versa.)
🔸 Correlation (Describes the strength and direction of a linear relationship between the asset and the mean. Correlation coefficients range from -1 to +1. A correlation of +1 means that two variables are perfectly positively correlated; as one goes up, the other will go up in exact proportion. A correlation of -1 means they are perfectly negatively correlated; as one goes up, the other will go down in exact proportion. A correlation of 0 means that there is no linear relationship between the variables. For example, a correlation of 0.5 between Asset A and Asset B would suggest that when Asset A moves, Asset B tends to move in the same direction, but not perfectly in tandem.)
🔸 RSI (Measures the speed and change of price movements and is used to identify overbought or oversold conditions of each asset. The RSI ranges from 0 to 100 and is typically used with a time period of 14. Generally, an RSI above 70 indicates that an asset may be overbought, while RSI below 30 signals that an asset may be oversold.)
⚙️ Settings Overview:
◽️ Period
Periodic inputs (e.g. daily, monthly, etc.) determine when the values are reset to zero and begin accumulating again until the period is over. This visualizes the net change in the data over each period. The input "Visible Range" is auto-adjustable as it starts the accumulation at the leftmost bar on your chart, displaying the net change in your chart's visible range. There's also the "Timestamp" option, which allows you to select a specific point in time from where the values are accumulated. The timestamp anchor can be dragged to a desired bar via Tradingview's interactive option. Timestamp is particularly useful when looking for outperformers/underperformers after a market-wide move. The input positioned next to the period selection determines the timeframe on which the data is based. It's best to leave it at default (Chart Timeframe) unless you want to check the higher timeframe structure of the data.
◽️ Data
The first input in this section determines the data that will be displayed. You can choose between Price, OI, and OBV. The second input lets you select which one out of the three asset groups should be displayed. The symbols in the asset group can be modified in the bottom section of the indicator settings.
◽️ Appearance
You can choose to plot the data in the form of lines, circles, areas, and columns. The colors can be selected by choosing one of the six pre-prepared color palettes.
◽️ Labeling
This input allows you to show/hide the labels and select their appearance and size. You can choose between Label (colored pointed label), Label and Line (colored pointed label with a line that connects it to the plot), or Text Label (colored text).
◽️ Smoothing
If selected, this option will smooth the values using a Simple Moving Average (SMA) with a custom length. This is used to reduce noise and improve the visibility of plotted data.
◽️ Highlight
If selected, this option will highlight the top and bottom N (custom number) plots, while shading the others. This makes the symbols with extreme values stand out from the rest.
◽️ Group Mean
This input allows you to select the data that will be considered as the group mean. You can choose between Group Average (the average value of all assets in the group) or First Ticker (the value of the ticker that is positioned first on the group's list). The mean is then used in calculations such as correlation (as the second variable) and beta (as a benchmark). You can also choose to plot the mean by clicking on the checkbox.
◽️ Profile
If selected, the script will generate a vertical volume profile-like display with 10 zones/nodes, visualizing the distribution of assets below and above the mean. This makes it easy to see how many or what percentage of assets are outperforming or underperforming the mean.
◽️ Gradient
If selected, this option will color the plots with a gradient based on the proximity of the value to the upper extreme, zero, and lower extreme.
◽️ Table
This section includes several settings for the table's appearance and the data displayed in it. The "Reference Length" input determines the number of bars back that are used for calculating correlation and beta, while "RSI Length" determines the length used for calculating the Relative Strength Index. You can choose the data that should be displayed in the table by using the checkboxes.
◽️ Asset Groups
This section allows you to modify the symbols that have been selected to be a part of the 3 asset groups. If you want to change a symbol, you can simply click on the field and type the ticker of another one. You can also show/hide a specific asset by using the checkbox next to the field.
Log Regression Oscillator (No Repaint)
It can be a high inflated or extremely falling forex or coin. 150 is the highest peak. It is likely to return between 100 and 150. Sell can be taken from those areas. 0 TO -150 is the buy area. It would be better not to take transactions in the intermediate areas. It can work very well with other indicators.
Log Regression Oscillator (No Repaint)It can be a high inflated or extremely falling forex or coin. 150 is the highest peak. It is likely to return between 100 and 150. Sell can be taken from those areas. 0 TO -150 is the buy area. It would be better not to take transactions in the intermediate areas. It can work very well with other indicators.
Log Regression Oscillator (No Repaint)dont repaint . -150 +150
The value range is between 0 and 100, but when there is speculation, -150 is the lowest point and it provides a return from there
Dao động [VNFlow]Contact and discussion to use advanced tools to support your trading strategy
Email: hasobin@outlook.com
Phone: 0373885338
Cafe break: Hanoi
See you,
Log Regression Oscillator (caN)fi(ki)=>'ra'
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © fikira
//@version=6
indicator('Log Regression Oscillator', max_bars_back=5000, max_labels_count=500, max_lines_count=500, overlay=false)
________________________________________________________________________________________________________________________ ='
⎞ Settings ⎛
(__--------__) '
cGREEN = #089981, cRED = #F23645, cGRAY = #757a79
threshold = input.int (300 , minval=150)
proactive = input.bool (false )
GRE = input.color(cGREEN , 'Bull' , group='Style' )
RED = input.color(cRED , 'Bear' , group='Style' )
GRY = input.color(cGRAY , 'Unconfirmed Bull/Bear' , group='Style' )
showDsh = input.bool ( true , 'Show Dashboard' , group='Dashboard' )
dshLoc = str.replace(str.lower(input.string('Top Right', 'Location', group='Dashboard', options= )), ' ', '_')
txtSize = str.lower(input.string('Normal' , 'Size' , group='Dashboard', options= ) )
________________________________________________________________________________________________________________________ :='
⎞ Constants and general variables ⎛
(__-------------------------------__) '
INV = color(na)
n = bar_index
________________________________________________________________________________________________________________________ :='
⎞ Functions ⎛
(__---------__) '
dot(x, y)=>
if x.size() > 1 and y.size() > 1
m1 = matrix.new()
m2 = matrix.new()
m1.add_col(m1.columns(), y)
m2.add_row(m2.rows (), x)
m1.mult (m2)
.eigenvalues()
.sum()
//Closed form solution to best fit log function
log_reg(log_x, log_x2, log_y) =>
sum_log_x = log_x . sum()
sum_y = log_y . sum()
sum_log_x_y = dot(log_x ,log_y)
sum_log_x_sq = log_x2 . sum()
n_ = log_x .size()
//Closed-form solutions for a and b
a = (n_ * sum_log_x_y - sum_log_x * sum_y)
/ (n_ * sum_log_x_sq - math.pow(sum_log_x , 2))
b = ( sum_y - a * sum_log_x ) / n_
//Variables declared for draw()
var arrayarr = array.new(4, na)
proActH = false, proActL = false
var lastHi = 0., var lastLi = 0.
draw(aTop_x, aTop_x2, aTop_y, aBot_x, aBot_x2, aBot_y, top_points, prc_points, btm_points, refit) =>
var label labH = na, var label labL = na
vTop = 0.
vBtm = 0.
if refit
top_points.clear(), prc_points.clear(), btm_points.clear()
= log_reg(aTop_x, aTop_x2, aTop_y), arr.set(0, a_top), arr.set(1, b_top)
= log_reg(aBot_x, aBot_x2, aBot_y), arr.set(2, a_btm), arr.set(3, b_btm)
for i = 0 to n
top = math.exp(a_top * math.log(i) + b_top)
btm = math.exp(a_btm * math.log(i) + b_btm)
avg = math.avg(top, btm)
if i == n
vTop := top
vBtm := btm
ix = n - i
if ix < 4999
hi = high
lo = low
cl = close
getC = hi > avg ? hi : lo < avg ? lo : cl
prc_points.push(chart.point.from_index(i, 100 * math.max(-1.5, math.min(1.5, (getC - btm) / (top - btm)))))
for lab in label.all
lab.delete()
firstH = proactive ? true : false
firstL = proactive ? true : false
color colH = na, color colL = na
sz = prc_points.size()
if aTop_x.size() > 0
for i = aTop_x.size() -1 to 0
idx = int(math.exp(aTop_x.get(i)))
if idx < sz and idx > n - 5000 and idx >= 0
if firstH
if aTop_x.last() != lastHi
colH := GRY
firstH := false
else
colH := RED
else
colH := RED
top = math.exp(a_top * math.log(idx) + b_top)
btm = math.exp(a_btm * math.log(idx) + b_btm)
label.new(idx , 100 *
math.max(-1.5, math.min(1.5, (high - btm)
/ (top - btm)
) ), '●', textcolor = colH, color=INV, size=8)
if aBot_x.size() > 0
for i = aBot_x.size() -1 to 0
idx = int(math.exp(aBot_x.get(i)))
if idx < sz and idx > n - 5000 and idx >= 0
if firstL
if aBot_x.last() != lastLi
colL := GRY
firstL := false
else
colL := GRE
else
colL := GRE
top = math.exp(a_top * math.log(idx) + b_top)
btm = math.exp(a_btm * math.log(idx) + b_btm)
label.new(idx , 100 *
math.max(-1.5, math.min(1.5, (low - btm)
/ (top - btm)
) ), '●', textcolor = colL, color=INV, size=8
, style = label.style_label_up)
else
top = math.exp(arr.get(0) * math.log(n) + arr.get(1))
btm = math.exp(arr.get(2) * math.log(n) + arr.get(3))
avg = math.avg(top, btm)
vTop := top
vBtm := btm
hi = high, lo = low, cl = close
getC = hi > avg ? hi : lo < avg ? lo : cl
prc_points.push(chart.point.from_index(n, 100 * math.max(-1.5, math.min(1.5, (getC - btm) / (top - btm)))))
for poly in polyline.all
poly.delete()
if barstate.islast
labH.delete(), labH := label.new(n, 100, str.tostring(vTop, format.mintick), color=color.new(chart.fg_color, 85), textcolor=RED, style=label.style_label_lower_left, size=12)
labL.delete(), labL := label.new(n, 0, str.tostring(vBtm, format.mintick), color=color.new(chart.fg_color, 85), textcolor=GRE, style=label.style_label_upper_left, size=12)
polyline.new(prc_points.size() >= 5000 ? prc_points.slice(prc_points.size()-4999, prc_points.size()-1) : prc_points, line_color=chart.fg_color)
________________________________________________________________________________________________________________________ :='
⎞ Variables ⎛
(__---------__) '
//bool trigerring fit
refit = false
var top_points = array.new(0)
var prc_points = array.new(0)
var btm_points = array.new(0)
//Variables arrays
var peaks_y = array.new(0)
var peaks_x = array.new(0)
var peaks_x2 = array.new(0)
var btms_y = array.new(0)
var btms_x = array.new(0)
var btms_x2 = array.new(0)
var tb = table.new(dshLoc, 4, 8
, bgcolor = #1e222d
, border_color = #373a46
, border_width = 1
, frame_color = #373a46
, frame_width = 1)
________________________________________________________________________________________________________________________ :='
⎞ Exec ⎛
(__----__) '
//Top Bottom detection
max = ta.max(high)
var min = low
min := max == high ? low
: math.min(low , min)
barsmax = ta.barssince(high == max)
barsmin = ta.barssince(low == min)
if barsmax == threshold
nmax = n-barsmax
if peaks_x .size() > 0 and peaks_x.last() != lastHi
peaks_y .set(-1, math.log( max) )
peaks_x .set(-1, math.log(nmax) )
peaks_x2.set(-1, math.pow(math.log(nmax), 2))
else
peaks_y .push( math.log(max) )
peaks_x .push( math.log(nmax) )
peaks_x2.push( math.pow(math.log(nmax), 2))
lastHi := math.log(nmax)
refit := true
else
min := math.min(low , min)
if barsmin == threshold
nmin = n-barsmin
if btms_x .size() > 0 and btms_x.last() != lastLi
btms_y .set(-1, math.log(min) )
btms_x .set(-1, math.log(nmin) )
btms_x2 .set(-1, math.pow(math.log(nmin), 2))
else
btms_y .push( math.log( min) )
btms_x .push( math.log(nmin) )
btms_x2.push( math.pow(math.log(nmin), 2))
lastLi := math.log(nmin)
refit := true
chMax = ta.change(max) , chMin = ta.change(min)
if (chMax != 0 or chMin != 0) and proactive and not refit and n > threshold
= log_reg(peaks_x, peaks_x2, peaks_y)
= log_reg( btms_x, btms_x2, btms_y)
top = math.exp(a_top * math.log(n) + b_top)
btm = math.exp(a_btm * math.log(n) + b_btm)
if 100 * ((high - btm) / (top - btm)) > 90
if peaks_x.last() == lastHi
peaks_y .push(math.log(max))
peaks_x .push(math.log(n))
peaks_x2.push(math.log(n)
*math.log(n))
else
peaks_y .set(-1, math.log(max))
peaks_x .set(-1, math.log(n))
peaks_x2.set(-1, math.log(n)
* math.log(n))
arr.set(0, a_top), arr.set(1, b_top)
arr.set(2, a_btm), arr.set(3, b_btm)
refit := true
proActH := true
if 100 * ((low - btm) / (top - btm)) < 10
if btms_x.last() == lastLi
btms_y .push(math.log(min))
btms_x .push(math.log(n))
btms_x2.push(math.log(n)
*math.log(n))
else
btms_y .set(-1, math.log(min))
btms_x .set(-1, math.log(n))
btms_x2.set(-1, math.log(n)
* math.log(n))
arr.set(0, a_top), arr.set(1, b_top)
arr.set(2, a_btm), arr.set(3, b_btm)
refit := true
proActL := true
enough = peaks_x.size() > 1 and btms_x.size() > 1
if enough
draw(peaks_x, peaks_x2, peaks_y, btms_x, btms_x2, btms_y, top_points, prc_points, btm_points, refit)
else
if barstate.islast
txt = ''
if peaks_x.size() < 2
txt += str.format('{0} Top Swing', peaks_x.size())
if btms_x .size() < 2
if txt != ''
txt += ', '
txt += str.format('{0} Bottom Swing', btms_x .size())
txt += ' Change "Threshold" or timeframe for more Swings'
tb.cell(0, 0, txt, text_color=chart.fg_color, text_size=txtSize)
________________________________________________________________________________________________________________________ :='
⎞ Plot ⎛
(__----__) '
plot(n%2==0? 30 : na,'30' , color=color.new(chart.fg_color, 50), style=plot.style_linebr, display=display.pane)
plot(n%2==0? 70 : na,'70' , color=color.new(chart.fg_color, 50), style=plot.style_linebr, display=display.pane)
_100 = plot(100, 'na(100)', display=display.none)
_70 = plot( 70, 'na(70)' , display=display.none)
_60 = plot( 60, 'na(60)' , display=display.none)
_50 = plot( 50, 'na(50)' , display=display.none)
_40 = plot( 40, 'na(40)' , display=display.none)
_30 = plot( 30, 'na(30)' , display=display.none)
_00 = plot( 0, 'na(0)' , display=display.none)
fill(_100, _70, 100, 70, color.new(RED, 50), INV)
fill( _60, _50, 60, 50, INV, color.new(chart.fg_color, 85))
fill( _50, _40, 50, 40, color.new(chart.fg_color, 85), INV)
fill( _30, _00, 30, 0, INV, color.new(GRE, 75))
________________________________________________________________________________________________________________________ :='
⎞ End ⎛
(__---__) '
log regression forex and altcoin dom (caN)(0-100 Range)NO REPAİNTİNG
Stablecoin Dominance Indicator
The Stablecoin Dominance Indicator is a powerful tool designed to analyze the relative dominance of stablecoins within the cryptocurrency market. It utilizes a combination of regression analysis and standard deviation to provide valuable insights into market sentiment and potential turning points. This indicator is particularly useful for traders and investors looking to make informed decisions in the dynamic world of cryptocurrencies.
How to Read the Indicator:
The Stablecoin Dominance Indicator comprises three key lines, each serving a specific purpose:
Middle Line (Regression Line):
The middle line represents the Regression Line of stablecoin dominance, acting as a baseline showing the average or mean dominance of stablecoins in the market.
When the stablecoin dominance hovers around this middle line, it suggests a relatively stable market sentiment with no extreme overbought or oversold conditions.
Upper Line (2 Standard Deviations Above Mean):
The upper line, positioned 2 standard deviations above the Regression Line, indicates a significant deviation from the mean.
When stablecoin dominance approaches or surpasses this upper line, it may imply that the cryptocurrency market is experiencing oversold conditions, potentially signaling a market bottom. This is an opportune time for traders to consider increasing their exposure to cryptocurrencies.
Lower Line (2 Standard Deviations Below Mean):
The lower line, positioned 2 standard deviations below the Regression Line, shows a significant deviation in the opposite direction, indicating overbought conditions.
When stablecoin dominance approaches or falls below this lower line, it suggests overbought conditions in the market, possibly indicating a market top. Traders may consider reducing their cryptocurrency holdings or taking profits during this phase.
It's important to note that the Stablecoin Dominance Indicator should be used in conjunction with other analysis tools and strategies.
By understanding and applying the insights provided by this indicator, traders and investors can make more informed decisions in the ever-changing cryptocurrency landscape, potentially enhancing their trading strategies and risk management practices.
🚀PriceAction & SmartMoney ∞ Galaxy [VNFlow]Contact and discussion to use advanced tools to support your trading strategy
Email: hasobin@outlook.com
Phone: 0373885338
See you,
👽 PriceAction & SmartMoney ∞ Galaxy [VNFlow]Contact and discussion to use advanced tools to support your trading strategy
Email: hasobin@outlook.com
Phone: 0373885338
See you,
Dinámicas de Mercado ProUser Manual: Indicator "Dinámicas de Mercado Pro" (DMP)
Author: @Profit_Quant
Created by: Gemini AI (2025)
1. General Concept
The "Dinámicas de Mercado Pro" indicator is an all-in-one technical analysis tool designed to be overlaid directly onto your price chart. Its goal is to provide a clear and concise view of the market structure by combining three crucial trading elements:
The Overall Trend: What is the main direction of the market?
Liquidity Zones: Where is the price likely to react (supports and resistances)?
Breakout Momentum: When is the price breaking out of a range with force and volume?
By integrating these components, the DMP helps you make more informed trading decisions by identifying high-probability zones for entering or exiting trades.
2. Essential Step! - Initial Chart Setup
For the indicator to work as designed, it is essential to hide the original candles of the TradingView chart.
The indicator already draws its own candles with the market sentiment colors. If you do not hide the original ones, you will see both sets of candles overlapping, which will make the chart confusing and unreadable.
How to hide the chart's candles?
There are two simple ways:
Method 1 (Recommended):
Once you have the "DMP" indicator on your chart, look for the symbol's name in the top-left corner of your screen (e.g., BTCUSD, EURUSD, etc.).
Right next to the name, you will see an eye icon (👁️).
Click that eye icon to hide the main symbol (the original candles, bars, or lines). The chart will become clean, showing only the candles drawn by the DMP indicator.
Method 2 (Alternative):
Click the gear icon (⚙️) for the chart settings.
Go to the "Symbol" tab.
Uncheck the boxes for "Body," "Borders," and "Wicks," or set their opacity to 0%.
3. Main Components and Their Interpretation
The indicator has 3 key visual components you need to understand.
a) Supply and Demand Zones (Order Blocks)
These are the colored rectangles drawn automatically on the chart.
What are they?: They represent zones where there was a strong imbalance between buyers and sellers, often caused by the activity of large institutions.
Demand Zone (Blue Rectangle): A potential support zone. When the price returns to this area, buying pressure is expected to increase, pushing the price up.
Supply Zone (Red Rectangle): A potential resistance zone. When the price reaches this area, selling pressure is expected to increase, pushing the price down.
Mitigated Zone (Gray Rectangle): When the price touches a supply or demand zone, it becomes "mitigated," meaning the liquidity in that zone has already been used. The zone turns gray to indicate that it is less reliable and the price is more likely to break through it in the future.
b) Candle Coloring (Market Sentiment)
The chart candles will change color based on a priority system to give you an instant read of market sentiment.
Green Candles (Uptrend): Indicate that the price is above the long-term Exponential Moving Average (EMA) (200 by default). This suggests the overall trend is bullish, and you should look for buying opportunities.
Red Candles (Downtrend): Indicate that the price is below the 200 EMA. This suggests the overall trend is bearish, and you should look for selling opportunities.
White Candles (Bullish Breakout): Alert! This occurs when the price breaks a recent range high AND is accompanied by above-average volume. It's a strong sign of bullish momentum.
Purple Candles (Bearish Breakout): Alert! This occurs when the price breaks a recent range low with high volume. It's a strong sign of bearish momentum.
Gray Candles (Neutral): Appear when the price is very close to the 200 EMA, indicating indecision or consolidation in the market. This is a time for caution.
c) Probability Paths (Price Targets)
These are the dashed lines projected from the last real-time candle.
Demand Path (Blue Dashed Line): Points from the current price to the center of the nearest unmitigated demand zone. It acts as a potential support target.
Supply Path (Red Dashed Line): Points from the current price to the center of the nearest unmitigated supply zone. It acts as a potential resistance target.
4. Basic Trading Strategies
Confluence Strategy: Look for buying opportunities when the price pulls back to a blue demand zone while the candles are green (uptrend). Look for selling opportunities when the price rallies to a red supply zone with red candles (downtrend).
Breakout Strategy: Use the white or purple candles as an aggressive entry signal in the direction of the breakout. The stop-loss could be placed on the other side of the breakout candle.
Range Strategy: When the price is trapped between a clear supply and demand zone (with no breakout candles), you can trade the bounces between them until one zone is broken with a white or purple candle, signaling the end of the range.
5. Indicator Settings (Parameters)
You can customize every aspect of the indicator in its settings panel (the options are self-explanatory in the indicator's menu).
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Adaptive Quadratic Kernel EnvelopeThis study draws a fair-value curve from a quadratic-weighted (Nadaraya-Watson) regression. Alpha sets how sharply weights decay inside the look-back window, so you trade lag against smoothness with one slider. Band half-width is ATRslow times a bounded fast/slow ATR ratio, giving an instant response to regime shifts without overshooting on spikes. Work in log space when an instrument grows exponentially, equal percentage moves then map to equal vertical steps. NearBase and FarBase define a progression of adaptive thresholds, useful for sizing exits or calibrating mean-reversion logic. Non-repaint mode keeps one-bar delay for clean back-tests, predictive mode shows the zero-lag curve for live decisions.
Key points
- Quadratic weights cut phase error versus Gaussian or SMA-based envelopes.
- Dual-ATR scaling updates width on the next bar, no residual lag.
- Log option preserves envelope symmetry across multi-decade data.
- Alpha provides direct control of curvature versus noise.
- Built-in alerts trigger on the first adaptive threshold, ready for automation.
Typical uses
Trend bias from the slope of the curve.
Entry timing when price pierces an inner threshold and momentum stalls.
Breakout confirmation when closes hold beyond outer thresholds while volatility expands.
Stops and targets anchored to chosen thresholds, automatically matching current noise.
Quant Sentiment (Replay Date Only)This Indicator has the proprietory Option Greek Calculations to decide on the Intraday Only Trend. For any support please feel free to email support@mlneural.com.
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[AI] Advanced MTF Dashboard Pro █ 9 Timeframes + Signals# 🚀 Advanced MTF Dashboard Pro █ 9 Timeframes + Signals
## The Ultimate Multi-Timeframe Analysis Dashboard - See Everything at a Glance!
Transform your trading with the most comprehensive MTF dashboard on TradingView. This professional-grade tool analyzes 9 timeframes simultaneously, giving you instant market insights that would normally require multiple charts and hours of analysis.
---
## ⚡ KEY FEATURES
### 📊 **9-Timeframe Analysis**
✅ **Complete Coverage** - 1m, 5m, 15m, 30m, 1H, 4H, Daily, Weekly, Monthly
✅ **Toggle Control** - Show only the timeframes you need
✅ **Real-Time Updates** - All data refreshes automatically
✅ **Clean Organization** - Professional table layout
✅ **Smart Positioning** - Place dashboard anywhere on chart
### 🎯 **Multi-Indicator Analysis Per Timeframe**
✅ **Trend Direction** - EMA cross-based trend detection
✅ **RSI Momentum** - Overbought/oversold conditions
✅ **MACD Signals** - Histogram direction and strength
✅ **Volume Analysis** - Above/below average volume
✅ **Confluence Score** - Combined signal strength rating
### 💎 **Advanced Signal System**
✅ **Visual Status Indicators**
- ⬆⬆ Strong Bullish
- ⬆ Bullish
- ➡ Neutral
- ⬇ Bearish
- ⬇⬇ Strong Bearish
✅ **Confluence Ratings**
- ★★★★★ Excellent Setup
- ★★★★☆ Strong Setup
- ★★★☆☆ Good Setup
- ★★☆☆☆ Fair Setup
- ★☆☆☆☆ Weak Setup
### 📈 **Market Analysis Dashboard**
✅ **Overall Market Bias** - Instant bullish/bearish/neutral assessment
✅ **Bias Strength %** - Quantified market direction strength
✅ **Confluence Score** - Overall setup quality rating
✅ **Trend Alignment** - See when multiple timeframes agree
✅ **Smart Filtering** - Focus on high-probability setups
### 🔔 **Professional Alert System**
✅ **Strong Signal Alerts** - When confluence is extremely high
✅ **Bias Change Alerts** - Market direction shifts
✅ **Custom Messages** - Detailed alert descriptions
✅ **Multi-Timeframe Alerts** - Know which timeframes triggered
✅ **Smart Frequency** - No alert spam
### 🎨 **Customization Options**
✅ **4 Color Schemes** - Professional, Classic, Vibrant, Dark
✅ **6 Table Positions** - Top/Bottom/Middle + Left/Right
✅ **4 Text Sizes** - Tiny to Large
✅ **Toggle Features** - Show/hide any component
✅ **Visual Preferences** - Background colors, signals, etc.
---
## 🎯 PERFECT FOR
• **Multi-Timeframe Traders** - See all timeframes without switching
• **Confluence Traders** - Find high-probability aligned setups
• **Day Traders** - Quick market assessment for entries
• **Swing Traders** - Identify major trend alignments
• **Scalpers** - Spot micro-trends within larger trends
---
## 📱 WORKS ON ALL MARKETS
✅ **Forex** - All currency pairs
✅ **Crypto** - Bitcoin, Ethereum, all altcoins
✅ **Stocks** - Individual stocks and ETFs
✅ **Indices** - S&P 500, NASDAQ, etc.
✅ **Commodities** - Gold, Oil, Silver
✅ **Futures** - All futures contracts
---
## ⚙️ QUICK START GUIDE
### 1️⃣ **Add to Chart**
Click "Add to Favorites" and apply to any chart
### 2️⃣ **Configure Timeframes**
- Toggle ON the timeframes you trade
- Toggle OFF timeframes you don't need
### 3️⃣ **Customize Appearance**
- Choose your color scheme
- Select table position
- Adjust text size for your screen
### 4️⃣ **Interpret Signals**
- **Green rows** = Bullish timeframes
- **Red rows** = Bearish timeframes
- **More arrows** = Stronger signals
- **More stars** = Better confluence
### 5️⃣ **Set Alerts**
Right-click indicator → "Add Alert" → Choose conditions
---
## 📚 TRADING STRATEGIES
### **Strategy 1: Confluence Trading**
1. Wait for 70%+ timeframes to align (same direction)
2. Enter when confluence score shows ★★★★ or better
3. Use lower timeframe for precise entry
4. Higher timeframes for trend direction
### **Strategy 2: Timeframe Divergence**
1. Look for lower TFs turning while higher TFs trend
2. Potential reversal when multiple TFs flip
3. Confirm with volume increase
4. Best at major support/resistance
### **Strategy 3: Momentum Alignment**
1. All momentum indicators (RSI/MACD) align
2. Volume confirms direction
3. Enter on pullback to moving average
4. Exit when momentum diverges
---
## 🛠️ INDICATOR SETTINGS EXPLAINED
### **Timeframe Selection**
Each timeframe can be toggled on/off. Only active timeframes:
- Appear in the dashboard
- Count toward confluence
- Trigger alerts
### **Indicator Parameters**
- **Fast/Slow EMA**: Trend detection sensitivity (9/21 default)
- **RSI Length**: Momentum period (14 default)
- **MACD Settings**: Signal generation (12/26/9 default)
### **Visual Settings**
- **Table Position**: Where dashboard appears
- **Text Size**: Readability adjustment
- **Color Scheme**: Match your chart theme
### **Signal Settings**
- **Show Trend Strength**: Display trend indicators
- **Show Momentum**: RSI/MACD columns
- **Show Volume**: Volume analysis column
- **Show Confluence**: Star rating column
---
## 🌟 WHY CHOOSE ADVANCED MTF DASHBOARD PRO?
### **🤖 AI-Enhanced Analysis**
Our algorithms intelligently weight signals based on timeframe importance and market conditions, providing more accurate confluence scores than simple averaging.
### **⚡ Lightning Fast**
Optimized code ensures smooth performance even with all 9 timeframes active. No lag, no delays, just instant insights.
### **👁️ See Everything**
Stop switching between charts. One glance shows you everything you need to make informed trading decisions.
### **🎯 Precision Timing**
Identify the exact moment when multiple timeframes align for the highest probability trades.
### **📈 Proven Results**
Based on professional trading techniques used by institutional traders, now accessible to everyone.
---
## 💡 PRO TIPS
1. **Higher Timeframes = Stronger Trends** - Give more weight to 4H/Daily/Weekly
2. **Confluence is Key** - Best trades have 80%+ timeframe agreement
3. **Volume Confirms** - Look for volume spikes with signal alignment
4. **Patience Pays** - Wait for ★★★★★ setups for best results
5. **Risk Management** - Even perfect setups can fail, always use stops
---
## 🎯 ADVANCED USAGE
### **For Scalpers**
- Focus on 1m, 5m, 15m
- Quick confluence checks
- Rapid signal changes
### **For Day Traders**
- Use 5m to 1H primarily
- 4H for overall bias
- Balance speed with reliability
### **For Swing Traders**
- Emphasize 4H, Daily, Weekly
- Monthly for major trend
- Slower but more reliable signals
---
## 📞 SUPPORT & COMMUNITY
- 💬 **Comments Section** - Ask questions below
- 📧 **Email Support** -
---
## ⚠️ RISK DISCLAIMER
Trading involves substantial risk of loss. Past performance does not guarantee future results. This indicator is for educational purposes and should not be considered financial advice. Always do your own research and use proper risk management.
---
## 🔄 VERSION HISTORY
**v1.0** (Current)
- Initial release
- 9 timeframe analysis
- 4 indicators per timeframe
- Confluence scoring system
- Full alert integration
- 4 color schemes
---
## 🙏 CREDITS
Developed by
Inspired by institutional multi-timeframe analysis techniques
---
**🏷️ TAGS**
#MTF #MultiTimeframe #Dashboard #Confluence #TrendAnalysis #Momentum #RSI #MACD #Volume #DayTrading #SwingTrading #Scalping #Forex #Crypto #Stocks #TechnicalAnalysis #TradingDashboard #MarketAnalysis #AI #Signals
---
### ⭐ If this dashboard helps your trading, please leave a like and share your experience in the comments!
### 🚀 Click "Add to Favorites" to start seeing the market like never before!
Trend TraderDescription and Usage of the "Trend Trader" Indicator
The "Trend Trader" indicator, created by Gerardo Mercado as a legacy project, is a versatile trading tool designed to identify potential buy and sell signals across various instruments. While it provides predefined settings for popular instruments like US30, NDX100, GER40, and GOLD, it can be seamlessly adapted to any market, including forex pairs like EUR/USD. The indicator combines moving averages, time-based filters, and MACD confirmation to enhance decision-making for traders.
How It Works
Custom Moving Averages (MAs):
The indicator uses two moving averages:
Short MA: A faster-moving average (default: 10 periods).
Long MA: A slower-moving average (default: 100 periods).
Buy signals are generated when the Short MA crosses above the Long MA.
Sell signals are triggered when the Short MA crosses below the Long MA.
Time-Based Signals:
The user can define specific trading session times (start and end in UTC) to focus on high-activity periods for their chosen market.
Signals and background coloring are only active during the allowed session times.
MACD Confirmation:
A MACD (Moving Average Convergence Divergence) calculation on a 15-minute timeframe ensures stronger confirmation for signals.
Buy signals require the MACD line to be above the signal line.
Sell signals require the MACD line to be at or below the signal line.
Target Levels:
Predefined profit targets are dynamically set based on the selected trading instrument.
While it includes settings for US30, NDX100, GER40, and GOLD, the target levels can be adjusted to fit the volatility and structure of any asset, including forex pairs like EUR/USD.
Target 1 and Target 2 levels display when these thresholds are met after an entry signal.
Adaptability to Any Market:
Although predefined options are included for specific instruments, the indicator's moving averages, time settings, and MACD logic are applicable to any tradable asset, making it suitable for forex, commodities, indices, and more.
Visual Alerts:
Labels appear on the chart to highlight "BUY" and "SELL" signals at crossover points.
Additional labels indicate when price movements reach the predefined target levels.
Bar and background coloring visually represent active signals and MACD alignment.
Purpose
The indicator aims to simplify trend-following and momentum-based trading strategies. By integrating moving averages, MACD, customizable time sessions, and dynamic targets, it offers clear entry and exit points while being adaptable to the needs of individual traders across diverse markets.
How to Use
Setup:
Add the indicator to your TradingView chart.
Configure the moving average periods, trading session times, and target levels according to your preferences.
Select the instrument for predefined target settings or customize them to fit the asset you’re trading (e.g., EUR/USD or other forex pairs).
Interpreting Signals:
Buy Signal: The Short MA crosses above the Long MA, MACD confirms the upward trend, and the session is active.
Sell Signal: The Short MA crosses below the Long MA, MACD confirms the downward trend, and the session is active.
Adapt for Any Instrument:
Adjust the predefined target levels to match the volatility and trading style for your chosen asset.
For forex pairs like EUR/USD, consider typical pip movements to set appropriate profit targets.
Targets:
Use the provided target labels (e.g., 50 or 100 points) or customize them to reflect realistic profit goals based on the asset’s volatility.
Visual Aids:
Pay attention to the background color:
Greenish: Indicates a bullish trend during the allowed session.
Redish: Indicates a bearish trend during the allowed session.
Use the "BUY" and "SELL" labels for actionable insights.
This indicator is a flexible and powerful tool, suitable for traders across all markets. Its adaptability ensures that it can enhance your strategy, whether you’re trading forex, commodities, indices, or other assets. By offering actionable alerts and customizable settings, the "Trend Trader" serves as a valuable addition to any trader’s toolkit. FX:EURUSD
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