Indicadores e estratégias
Correlation Coefficient Master TableThe Correlation Coefficient Master Table is a comprehensive tool designed to calculate and visualize the correlation coefficient between a selected base asset and multiple other assets over various time periods. It provides traders and analysts with a clear understanding of the relationships between assets, enabling them to analyze trends, diversification opportunities, and market dynamics. You can define key parameters such as the base asset’s data source (e.g., close price), the assets to compare against (up to six symbols), and multiple lookback periods for granular analysis.
The indicator calculates the covariance and normalizes it by the product of the standard deviations. The correlation coefficient ranges from -1 to +1, with +1 indicating a perfect positive relationship, -1 a perfect negative relationship, and 0 no relationship.
You can specify the lookback periods (e.g., 15, 30, 90, or 120 bars) to tailor the calculation to their analysis needs. The results are visualized as both a line plot and a table. The line plot shows the correlation over the primary lookback period (the Chart Length), which can be used to inspect a certain length close up, or could be used in conjunction with the table to provide you with five lookback periods at once for the same base asset. The dynamically created table provides a detailed breakdown of correlation values for up to six target assets across the four user-defined lengths. The table’s cells are formatted with rounded values and color-coded for easy interpretation.
This indicator is ideal for traders, portfolio managers, and market researchers who need an in-depth understanding of asset interdependencies. By providing both the numerical correlation coefficients and their visual representation, users can easily identify patterns, assess diversification strategies, and monitor correlations across multiple timeframes, making it a valuable tool for decision-making.
Custom VWAP + ATR (D.Kh)Линии VWAP и ATR на выбранном инструменте ATR (Average True Range) — это индикатор, измеряющий среднюю волатильность цены за определенный период. Он используется для установки стоп-лоссов, определения рыночной волатильности и создания торговых стратегий. Рассмотрим, как его реализовать и использовать.
Normalized Jurik Moving Average [QuantAlgo]Upgrade your investing and trading strategy with the Normalized Jurik Moving Average (JMA) , a sophisticated oscillator that combines adaptive smoothing with statistical normalization to deliver high-quality signals! Whether you're a swing trader looking for momentum shifts or a medium- to long-term investor focusing on trend validation, this indicator's statistical approach offers valuable analytical advantages that can enhance your trading and investing decisions!
🟢 Core Architecture
The foundation of this indicator lies in its unique dual-layer calculation system. The first layer implements the Jurik Moving Average, known for its superior noise reduction and responsiveness, while the second layer applies statistical normalization (Z-Score) to create standardized readings. This sophisticated approach helps identify significant price movements while filtering out market noise across various timeframes and instruments.
🟢 Technical Foundation
Three key components power this indicator are:
Jurik Moving Average (JMA): An advanced moving average calculation that provides superior smoothing with minimal lag
Statistical Normalization: Z-Score based scaling that creates consistent, comparable readings across different market conditions
Dynamic Zone Detection: Automatically identifies overbought and oversold conditions based on statistical deviations
🟢 Key Features & Signals
The Normalized JMA delivers market insights through:
Color-adaptive oscillator line that reflects momentum strength and direction
Statistically significant overbought/oversold zones for trade validation
Smart gradient fills between signal line and zero level for enhanced visualization
Clear long (L) and short (S) markers for validated momentum shifts
Intelligent bar coloring that highlights the current market state
Customizable alert system for both bullish and bearish setups
🟢 Practical Usage Tips
Here's how to maximize your use of the Normalized JMA:
1/ Setup:
Add the indicator to your favorites, then apply it to your chart ⭐️
Begin with the default smoothing period for balanced analysis
Use the default normalization period for optimal signal generation
Start with standard visualization settings
Customize colors to match your chart preferences
Enable both bar coloring and signal markers for complete visual feedback
2/ Reading Signals:
Watch for L/S markers - they indicate validated momentum shifts
Monitor oscillator line color changes for direction confirmation
Use the built-in alert system to stay informed of potential trend changes
🟢 Pro Tips
Adjust Smoothing Period based on your trading style:
→ Lower values (8-12) for more responsive signals
→ Higher values (20-30) for more stable trend identification
Fine-tune Normalization Period based on market conditions:
→ Shorter periods (20-25) for more dynamic markets
→ Longer periods (40-50) for more stable markets
Optimize your analysis by:
→ Using +2/-2 zones for primary trade signals
→ Using +3/-3 zones for extreme market conditions
→ Combining with volume analysis for trade confirmation
→ Using multiple timeframe analysis for strategic context
Combine with:
→ Volume indicators for trade validation
→ Price action for entry timing
→ Support/resistance levels for profit targets
→ Trend-following indicators for directional bias
AVP 259 alertsits a mixture of indicators that merges the famous indicators in one single form to easily get explained with their study and mastery
[2025] Asian Session with Sweeps and Engulfing Candles EU M15
Kailangan ulit habaan 'yung description
Basta Engulfing Candle 'to after Asian Sweep.
Asian High Swept = Look for Bearish engulfing
Asian Low Swept = Look for Bearish engulfing
P'wede mapalitan 'yung Asian Session time, for example gusto mong gawing ibang time ng liquidity. Basta same logic. Tapos mapapalitan rin 'yung Window na maghahanap ng Engulfing. Tapos may daily bias toggle rin tsaka alerts. Good to go na 'to basta backtest
VolumeByTiagoFind where the big money is:
Yellow - Very strong (high probability big players investing)
Red - Strong (high probability big players secundary investiments)
Green - Volatility
White - No important Volatility
VolumeByTiagoFind where the big money is:
Yellow - Very strong (high probability big players investing)
Red - Strong (high probability big players secundary investiments)
Green - Volatility
White - No important Volatility
Day Separator (EST-based)Para kay Kankaku AHAHAHAHA
'Wag mo na pansinin 'tong decription. Dapat lang raw mahaba AHAHAHAHA
HABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
Optimized SMA StrategyTest ai script. Trying to figure out how ask for what I want the ai script to do. This us just a test
EMA 9, 21, 200Aquí usamos EMA de 9 velas, para identificar oscilaciones del mercado a corto plazo. EMA de 21 velas sirve para confirmar tendencias; y EMA de 200 velas, destaca por su suavidad y sensibilidad a los cambios. Es ideal para predicciones a corto plazo.
Custom EMA/ATR/Keltner/Bollinger with Squeeze Setup 21-EMA and ATR-Based Analysis
21-EMA (Exponential Moving Average):
Acts as a dynamic support/resistance level.
The price's relationship with the 21-EMA is used to detect trends and potential reversals.
ATR (Average True Range):
Measures volatility.
Used to define price thresholds for buy/sell conditions (e.g., price not more than 1 ATR above 21-EMA for a buy signal).
2. Bollinger Bands and Keltner Channels for Squeeze Setup
Bollinger Bands (BB):
Calculated using a 20-period simple moving average and standard deviations.
Represents high and low volatility zones.
Keltner Channels (KC):
Based on a 20-period EMA and ATR.
Provides narrower channels for price action compared to Bollinger Bands.
Squeeze Condition:
Occurs when Bollinger Bands fall inside Keltner Channels, signaling low volatility.
These periods often precede significant price movements (breakouts).
3. Momentum Indicator (MACD Histogram)
MACD Histogram:
Measures momentum during a squeeze.
Positive histogram values suggest bullish momentum, while negative values suggest bearish momentum.
Used to predict breakout direction from a squeeze.
4. RSI (Relative Strength Index) for Overbought/Oversold Conditions
Buy Signal:
RSI below 50 indicates a potential oversold condition, supporting a buy signal.
Sell Signal:
RSI above 80 indicates overbought conditions, supporting a sell signal.
5. Buy/Sell Signal Conditions
Buy Signal:
Price is not more than 1 ATR above the 21-EMA.
RSI is below 50 (oversold).
Price touches the 21-EMA within a small tolerance.
Squeeze condition is active.
Sell Signal:
Price is 3 ATR above the 21-EMA.
RSI is above 80 (overbought).
Additional Signals:
Buy: Price is 2 standard deviations below the 21-EMA.
Sell: Price is 2 standard deviations above the 21-EMA.
6. Visual Enhancements
Candle Rangethe Candle Range refers to the difference between the high price (High) and the low price (Low) of a specific candle or bar.
Example:
For a given candle on the chart:
The high price is 120.
The low price is 100.
The candle range is 20 (120 - 100).
Uses:
Volatility Measurement: The candle range is often used to assess an asset's volatility over time. For example, averaging candle ranges can indicate the average volatility.
Indicator Development: Many indicators, such as Average True Range (ATR), rely on candle ranges to provide insights about market conditions.
Trade Filters: Candle ranges can act as filters in strategies to avoid trading during periods of low volatility.
Moving Average Ribbon SetThe Moving Average Ribbon is a powerful visualization tool for identifying trends and potential reversals in trading. By using 8 moving averages (MAs), you can enhance its sensitivity and applicability to various trading strategies.
Suggested Configuration for an 8-MA Ribbon:
Short-Term MAs: These react quickly to price changes, helping identify immediate trends.
5-period MA
10-period MA
Medium-Term MAs: These offer a balance between sensitivity and reliability.
20-period MA
30-period MA
Long-Term MAs: These filter out short-term noise, focusing on macro trends.
50-period MA
100-period MA
Extended-Term MAs: These highlight the overarching market sentiment.
150-period MA
200-period MA
Candle Range (High-Low)the Candle Range refers to the difference between the high price (High) and the low price (Low) of a specific candle or bar.
Example:
For a given candle on the chart:
The high price is 120.
The low price is 100.
The candle range is 20 (120 - 100).
Uses:
Volatility Measurement: The candle range is often used to assess an asset's volatility over time. For example, averaging candle ranges can indicate the average volatility.
Indicator Development: Many indicators, such as Average True Range (ATR), rely on candle ranges to provide insights about market conditions.
Trade Filters: Candle ranges can act as filters in strategies to avoid trading during periods of low volatility.
Candle Range (High-Low)the Candle Range refers to the difference between the high price (High) and the low price (Low) of a specific candle or bar.
Example:
For a given candle on the chart:
The high price is 120.
The low price is 100.
The candle range is 20 (120 - 100).
Uses:
Volatility Measurement: The candle range is often used to assess an asset's volatility over time. For example, averaging candle ranges can indicate the average volatility.
Indicator Development: Many indicators, such as Average True Range (ATR), rely on candle ranges to provide insights about market conditions.
Trade Filters: Candle ranges can act as filters in strategies to avoid trading during periods of low volatility.
The Final Countdown//Credit to ©SamRecio for the original indicator that this is based on, which is called, "HTF Bar Close Countdown".
Here are the key differences between the two indicators (That a user would care about):
1.) 10 timeframe slots (double the original number).
2.) Many more timeframe options ('1', '3', '5', '10', '15', '30', '45', '1H', '2H', '4H', '6H', '8H', '12H', 'D', 'W').
3.) Ability to structure timeframes however you want (Higher up top descending, vice versa, or just randomly.).
4.) Support for hour-based timeframes (1H, 2H, etc.).
5.) Displays minutes as numbers, hours with a number followed by H (ex. 1H), and anything above with a letter (D for day, W for week).
6.) Dynamic colors based on remaining time percentage (green->yellow->red) with two user-defined thresholds.
7.) Alerts for when timeframes are close to closing (yellow->red).
8.) More granular timeframe selection options.
9.) Background colors for an additional visual alert.
------Colors background the selected color for each timeframe (Default is all timeframes are blue with 80% transparency).
------This does not repaint, so the color will persist once the red condition is over.
------As soon as you leave the timeframe though, it will be erased and the new timeframe will begin tracking red conditions.
------It always starts from the current bar, so it is not applicable to historical bars unless you leave it running for an extended period of time.
------Do note that since this is not actual paint or colored pencils, the colors do not blend.
------The most recent timeframe to enter a red condition will be the background that you see unless you leave the timeframe and return.
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Now for the description and instructions....
IT'S THE FINAL COUNTDOWN!
This indicator helps shorter-timeframe traders track multiple timeframe closings simultaneously, providing visual, audio and notification alerts when bars are nearing their close. It's particularly useful for traders who want to prepare for potential price action around bar closings across different timeframes. If you're a HODL till you're broke kind of trader, you don't need this.
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Multi-Timeframe Tracking
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- Monitors up to 10 different timeframes simultaneously
- Supports various timeframes from 1 minute to weekly (1m, 3m, 5m, 10m, 15m, 30m, 45m, 1H, 2H, 4H, 6H, 8H, 12H, Daily, Weekly)
- Timeframes can be arranged in any order (ascending, descending, or custom)
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Visual Display
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- Shows a countdown timer for each selected timeframe
- Dynamic color changes based on time remaining:
Green: More than 15% of bar time remaining
Yellow: Between 15% and 5% remaining
Red: Less than 5% remaining
- Customizable background colors appear when timeframes enter their red zone
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Alert System
----------------
- Built-in alerts trigger when any timeframe enters its red zone
- Each timeframe can have its alerts toggled independently
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- Setup Instructions -
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Timeframe Selection
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- Choose up to 10 timeframes to monitor
- Each timeframe has its own toggle switch to turn it on/off
- Default configuration starts from 5m and goes up to 12H
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Visual Customization
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- Adjust the table size, position
- Customize frame and border colors
- Modify the yellow and red threshold percentages
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Background Color Settings
--------------------------------
- Enable/disable background colors for each timeframe
- Choose custom colors for each timeframe's background
- Default setting is blue (with a fixed 80% transparency)
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Usage Tips
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- Use the countdown table to prepare for multiple timeframe closes as big moves (especially reversals) tend to begin come after higher timeframe changes (sometimes to the second).
- Watch for color changes to anticipate important closing periods to avoid getting trapped in bad trade (please always use stop losses if trading, in general).
- Set up alerts for critical timeframes that require immediate attention (2H, 4H, etc.).
- Use background colors as an additional visual cue for timeframe closes.
- Position the table where it won't interfere with your chart analysis.
Fibobull Düzeltme Türkce Vol.2//@version=5
//@fibobull
indicator("Fibobull Düzeltme Türkce Vol.2", overlay=true)
devTooltip = "Deviation is a multiplier that affects how much the price should deviate from the previous pivot in order for the bar to become a new pivot."
depthTooltip = "The minimum number of bars that will be taken into account when calculating the indicator."
// Pivots threshold
threshold_multiplier = input.float(title="Deviation", defval=10, minval=0, tooltip=devTooltip)
depth = input.int(title="Depth", defval=3, minval=2, tooltip=depthTooltip)
reverse = input(false, "Reverse", display = display.data_window)
var extendLeft = input(false, "Extend Left | Extend Right", inline = "Extend Lines")
var extendRight = input(true, "", inline = "Extend Lines")
var extending = extend.none
if extendLeft and extendRight
extending := extend.both
if extendLeft and not extendRight
extending := extend.left
if not extendLeft and extendRight
extending := extend.right
prices = input(true, "Show Prices", display = display.data_window)
levels = input(true, "Show Levels", inline = "Levels", display = display.data_window)
labelsPosition = input.string("Left", "Labels Position", options = , display = display.data_window)
var int backgroundTransparency = input.int(85, "Background Transparency", minval = 0, maxval = 100, display = display.data_window)
// Text size input
textSize = input.string(title="Text Size", defval="normal", options= , display = display.data_window)
import TradingView/ZigZag/7 as zigzag
update() =>
var settings = zigzag.Settings.new(threshold_multiplier, depth, color(na), false, false, false, false, "Absolute", true)
var zigzag.ZigZag zigZag = zigzag.newInstance(settings)
var zigzag.Pivot lastP = na
var float startPrice = na
var float endPrice = na // End price değişkenini ekliyoruz
var float height = na
settings.devThreshold := ta.atr(10) / close * 100 * threshold_multiplier
if zigZag.update()
lastP := zigZag.lastPivot()
if not na(lastP)
var line lineLast = na
if na(lineLast)
lineLast := line.new(lastP.start, lastP.end, xloc=xloc.bar_time, color=color.gray, width=1, style=line.style_dashed)
else
line.set_first_point(lineLast, lastP.start)
line.set_second_point(lineLast, lastP.end)
startPrice := reverse ? lastP.start.price : lastP.end.price
endPrice := reverse ? lastP.end.price : lastP.start.price // End price'i burada atıyoruz
height := (startPrice > endPrice ? -1 : 1) * math.abs(startPrice - endPrice)
= update()
_draw_line(price, col) =>
var id = line.new(lastP.start.time, lastP.start.price, time, price, xloc=xloc.bar_time, color=col, width=1, extend=extending)
line.set_xy1(id, lastP.start.time, price)
line.set_xy2(id, lastP.end.time, price)
id
_draw_label(price, txt, txtColor) =>
x = labelsPosition == "Left" ? lastP.start.time : not extendRight ? lastP.end.time : time
labelStyle = labelsPosition == "Left" ? label.style_label_right : label.style_label_left
align = labelsPosition == "Left" ? text.align_right : text.align_left
var id = label.new(x=x, y=price, xloc=xloc.bar_time, text=txt, textcolor=txtColor, style=labelStyle, textalign=align, color=#00000000, size=textSize)
label.set_xy(id, x, price)
label.set_text(id, txt)
label.set_textcolor(id, txtColor)
_label_txt(level, price) =>
(levels ? level : "") + (prices ? " (" + str.tostring(price, format.mintick) + ")" : "")
_crossing_level(series float sr, series float r) =>
(r > sr and r < sr ) or (r < sr and r > sr )
processLevel(bool show, float value, string label, color colorL, line lineIdOther) =>
r = startPrice + height * value
crossed = _crossing_level(close, r)
if show and not na(lastP)
lineId = _draw_line(r, colorL)
_draw_label(r, _label_txt(label, r), colorL)
if crossed
alert("Autofib: " + syminfo.ticker + " crossing level " + str.tostring(label))
if not na(lineIdOther)
linefill.new(lineId, lineIdOther, color = color.new(colorL, backgroundTransparency))
lineId
else
lineIdOther
// Define the text values and colors for each level
show_tepe = input(true, "Show Tepe", display = display.data_window)
color_tepe = input(color.new(color.gray, 50), "Tepe Color", display = display.data_window)
show_tepeye_yakin = input(true, "Show Tepeye Yakın", display = display.data_window)
color_tepeye_yakin = input(color.new(color.green, 50), "Tepeye Yakın Color", display = display.data_window)
show_hala_duzeltiyor = input(true, "Show Düzeltiyor", display = display.data_window)
color_hala_duzeltiyor = input(color.new(color.red, 50), "Düzeltiyor Color", display = display.data_window)
show_alim_yerleri = input(true, "Show Alım Yerleri", display = display.data_window)
color_alim_yerleri = input(color.new(color.blue, 50), "Alım Yerleri Color", display = display.data_window)
show_alabilirsin = input(true, "Show Alabilirsin", display = display.data_window)
color_alabilirsin = input(color.new(color.orange, 50), "Alabilirsin Color", display = display.data_window)
show_almaya_devam = input(true, "Show Almaya Devam", display = display.data_window)
color_almaya_devam = input(color.new(color.purple, 50), "Almaya Devam Color", display = display.data_window)
show_maliyet_dusur = input(true, "Show Maliyet Düşür", display = display.data_window)
color_maliyet_dusur = input(color.new(color.yellow, 50), "Maliyet Düşür Color", display = display.data_window)
show_maliyet_dusur_stop_ol = input(true, "Show Maliyet Düşür - Altında Stop OL", display = display.data_window)
color_maliyet_dusur_stop_ol = input(color.new(color.red, 50), "Maliyet Düşür - Altında Stop OL Color", display = display.data_window)
// Determine the text labels based on the direction
labelTepe = startPrice > endPrice ? "Tepe" : "Dip"
labelTepeyeYakin = startPrice > endPrice ? "Tepeye Yakın" : "Dibe Yakın"
labelHalaDuzeltiyor = startPrice > endPrice ? "Düzeltiyor" : "Düşüşü Düzeltiyor"
labelAlimYerleri = startPrice > endPrice ? "Alış Yerleri" : "Satış Yerleri"
labelAlabilirsin = startPrice > endPrice ? "Alabilirsin" : "Satabilirsin"
labelAlmayaDevam = startPrice > endPrice ? "Almaya Devam" : "Satmaya Devam"
labelMaliyetDusur = startPrice > endPrice ? "Maliyet Düşür" : "Stop Hazırlan"
labelMaliyetDusurStopOl = startPrice > endPrice ? "Maliyet Düşür-Altında Stop OL" : "Son Seviye Üstünde Stop OL"
// Process each text level
lineIdTepe = processLevel(show_tepe, 0.0, labelTepe, color_tepe, line(na))
lineIdTepeyeYakin = processLevel(show_tepeye_yakin, 0.236, labelTepeyeYakin, color_tepeye_yakin, lineIdTepe)
lineIdHalaDuzeltiyor = processLevel(show_hala_duzeltiyor, 0.382, labelHalaDuzeltiyor, color_hala_duzeltiyor, lineIdTepeyeYakin)
lineIdAlimYerleri = processLevel(show_alim_yerleri, 0.5, labelAlimYerleri, color_alim_yerleri, lineIdHalaDuzeltiyor)
lineIdAlabilirsin = processLevel(show_alabilirsin, 0.618, labelAlabilirsin, color_alabilirsin, lineIdAlimYerleri)
lineIdAlmayaDevam = processLevel(show_almaya_devam, 0.65, labelAlmayaDevam, color_almaya_devam, lineIdAlabilirsin)
lineIdMaliyetDusur = processLevel(show_maliyet_dusur, 0.786, labelMaliyetDusur, color_maliyet_dusur, lineIdAlmayaDevam)
lineIdMaliyetDusurStopOl = processLevel(show_maliyet_dusur_stop_ol, 1.0, labelMaliyetDusurStopOl, color_maliyet_dusur_stop_ol, lineIdMaliyetDusur)
SMA 10/20 Trend Info Table - QullamaggieThe Qullamaggie Index Trend Filter is a momentum-based technical indicator designed to identify strong bullish or bearish trends in the market by analyzing the relationship and movement of two simple moving averages (SMAs): the 10-period SMA and the 20-period SMA. It simplifies trend analysis and provides clear visual cues for traders to align their trades with the prevailing market direction.
