FX Market Sessions BY MY MADAM DIORSESSIONS TIMING
ASIAN
LONDON
NEW YORK
SYDNEY
"Show New High/Low of Its Sessions?"
New High/Low Backgrounds is changed to works on realtime only"
Opening Range option.
MY Madam Dior....💃
Cycles
Supertrend com Confirmação SMA 50o poder do supertrend com a confirmação de sma de 50 para confirmar as entradas.
KAMA + RSI + ADX + BB with Individual Signals//@version=6
indicator("KAMA + RSI + ADX + BB with Individual Signals", overlay=true)
// --- KAMA Parametreleri ---
fastPeriod = input.int(5, "KAMA Fast Period", minval=2, maxval=20)
slowPeriod = input.int(30, "KAMA Slow Period", minval=10, maxval=50)
effPeriod = input.int(2, "KAMA Efficiency Period", minval=1, maxval=10)
// KAMA Hesaplama Fonksiyonu
kama(close, effPeriod, fastPeriod, slowPeriod) =>
// Verimlilik Oranı (Efficiency Ratio - ER)
change = math.abs(close - close )
// Manuel olarak effPeriod dönemindeki kümülatif toplamı hesapla
var float sum_vol = 0.0
for i = 0 to effPeriod - 1
sum_vol += math.abs(close - close )
volatility = sum_vol
er = volatility == 0 ? 1 : change / volatility
// Düzeltme Faktörü (Smoothing Constant - SC)
sc = math.pow(er * (2.0 / (fastPeriod + 1) - 2.0 / (slowPeriod + 1)) + 2.0 / (slowPeriod + 1), 2)
// KAMA serisini sakla
var float kama_series = close
kama_series := kama_series + sc * (close - kama_series ) // Seriyi güncelle
kama_prev = nz(kama_series , close) // Önceki KAMA değerini al, yoksa kapanış fiyatını kullan
kama_current = kama_prev + sc * (close - kama_prev) // Yeni KAMA değerini hesapla
kama_current // Fonksiyonun dönüş değeri
// KAMA Değeri
kamaValue = kama(close, effPeriod, fastPeriod, slowPeriod)
// --- RSI Parametreleri ---
rsiLength = input.int(14, "RSI Length", minval=2, maxval=50)
rsiOverbought = input.int(70, "RSI Overbought", minval=50, maxval=100)
rsiOversold = input.int(30, "RSI Oversold", minval=0, maxval=50)
rsi = ta.rsi(close, rsiLength)
// --- ADX Parametreleri ---
adxLength = input.int(14, "ADX Length", minval=2, maxval=50)
adxThreshold = input.int(25, "ADX Threshold", minval=10, maxval=50)
= ta.dmi(adxLength, 14) // length ve adxSmoothing (14) argümanları
// --- Bollinger Bantları Parametreleri ---
bbLength = input.int(20, "BB Length", minval=2, maxval=50)
bbMult = input.float(2.0, "BB Multiplier", minval=1.0, maxval=5.0, step=0.1)
= ta.bb(close, bbLength, bbMult)
// --- Her İndikatörün Al-Sat Sinyalleri ---
// KAMA Sinyalleri
kamaBuy = ta.crossover(close, kamaValue)
kamaSell = ta.crossunder(close, kamaValue)
// RSI Sinyalleri
rsiBuy = ta.crossover(rsi, rsiOversold)
rsiSell = ta.crossunder(rsi, rsiOverbought)
// ADX Sinyalleri (Trend güçlenirse al, zayıflarsa sat)
adxBuy = ta.crossover(adx, adxThreshold)
adxSell = ta.crossunder(adx, adxThreshold)
// Bollinger Bantları Sinyalleri
bbBuy = ta.crossover(close, bbUpper)
bbSell = ta.crossunder(close, bbLower)
// --- Görselleştirme ---
// KAMA Çizgisi ve Bollinger Bantları
plot(kamaValue, color=color.orange, title="KAMA", linewidth=2) // KAMA turuncu ve kalın
plot(bbUpper, color=color.blue, title="BB Upper", linewidth=1) // Bollinger üst mavi ve ince
plot(bbMiddle, color=color.blue, title="BB Middle", linewidth=1, style=plot.style_linebr) // Bollinger orta mavi ve ince, kesikli
plot(bbLower, color=color.blue, title="BB Lower", linewidth=1) // Bollinger alt mavi ve ince
// --- Her İndikatör için Al-Sat Sinyalleri ---
// KAMA Sinyalleri
plotshape(kamaBuy, title="KAMA Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text="Al")
plotshape(kamaSell, title="KAMA Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="Sat")
// RSI Sinyalleri
plotshape(rsiBuy, title="RSI Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text="Al")
plotshape(rsiSell, title="RSI Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="Sat")
// ADX Sinyalleri
plotshape(adxBuy, title="ADX Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text="Al")
plotshape(adxSell, title="ADX Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="Sat")
// Bollinger Bantları Sinyalleri
plotshape(bbBuy, title="BB Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text="Al")
plotshape(bbSell, title="BB Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="Sat")
// --- Alt Panelde RSI ve ADX ---
hline(rsiOverbought, "RSI Overbought", color=color.red, linestyle=hline.style_dashed)
hline(rsiOversold, "RSI Oversold", color=color.green, linestyle=hline.style_dashed)
plot(rsi, "RSI", color=color.purple, display=display.pane)
plot(adx, "ADX", color=color.teal, display=display.pane)
hline(adxThreshold, "ADX Threshold", color=color.gray, linestyle=hline.style_dashed)
EMA Scoring Strategy## **📊 EMA Scoring Strategy for Trend Analysis**
This strategy is designed to **identify bullish trends** based on multiple **Exponential Moving Averages (EMAs)**. It assigns a **score** based on how the price and EMAs interact, and highlights strong bullish conditions when the score reaches **4 or above**.
---
## **🔹 Strategy Logic**
### 1️⃣ **Calculating EMAs**
- **EMA 21** → Short-term trend
- **EMA 50** → Mid-term trend
- **EMA 100** → Long-term trend
---
### 2️⃣ **Scoring System**
For each trading day, the strategy assigns **+1 or -1 points** based on the following conditions:
| Condition | Score |
|-----------|-------|
| If **Price > EMA 21** | +1 |
| If **Price > EMA 50** | +1 |
| If **Price > EMA 100** | +1 |
| If **EMA 21 > EMA 50** | +1 |
| If **EMA 50 > EMA 100** | +1 |
| If **EMA 21 > EMA 100** | +1 |
| If **Price < EMA 21** | -1 |
| If **Price < EMA 50** | -1 |
| If **Price < EMA 100** | -1 |
| If **EMA 21 < EMA 50** | -1 |
| If **EMA 50 < EMA 100** | -1 |
| If **EMA 21 < EMA 100** | -1 |
---
### 3️⃣ **Bullish Confirmation** (Score ≥ 4)
- The **score is calculated every day**.
- When the **score reaches 4 or above**, it confirms a strong **bullish trend**.
- A **green background** is applied to highlight such days.
- A **histogram** is plotted **only when the score is 4 or higher** to keep the chart clean.
- A **buy signal** is generated when the score **crosses above 4**.
---
## **🔹 Visualization & Alerts**
### ✅ **What You See on the Chart**
1. **EMA Lines (21, 50, 100)** 📈
2. **Green Background for Strong Bullish Days (Score ≥ 4)** ✅
3. **Histogram Showing Score (Only for 4 and above)** 📊
4. **Buy Signal When Score Crosses Above 4** 💰
### 🔔 **Alerts**
- **An alert is triggered** when the score crosses **above 4**, notifying the user about a bullish trend.
---
## **📌 How to Use This Strategy**
1. **Identify Strong Bullish Trends:** When the score is **4 or above**, it suggests that price momentum is strong.
2. **Enter Trades on Buy Signals:** When the score **crosses above 4**, it could be a good time to buy.
3. **Stay in the Trade While Score is 4+:** The green background confirms a **strong uptrend**.
4. **Exit When Score Drops Below 4:** This suggests weakening momentum.
---
## **🔹 Advantages of This Strategy**
✅ **Simple & Objective** - Uses clear rules for trend confirmation
✅ **Filters Out Noise** - Only highlights strong bullish conditions
✅ **Works on Any Market** - Can be applied to stocks, indices, crypto, etc.
✅ **Customizable** - You can tweak EMAs or score conditions as needed
---
## **🚀 Next Steps**
Would you like me to add **stop-loss conditions**, **sell signals**, or any **extra confirmations like RSI or volume**? 😃
SF_StrategySupport And Resistance
Horizontal
4h Support And Resistance
1d Support And Resistance
1w Support And Resistance
1m Support And Resistance
5 Time divider (Vertical)
Wilmer's Heikin RSI Circles"Wilmer's Heikin RSI Circles", is designed to highlight specific market conditions by overlaying visual cues (colored circles) on a chart. It uses the Relative Strength Index (RSI) as a primary filter to identify overbought and oversold conditions, determined by user-defined thresholds (default values: 30 for oversold and 70 for overbought). The script compares the current candle's body (the range between open and close prices) with the previous candle’s body. If the current candle’s body is entirely within the boundaries of the previous one, and the RSI condition is met (either below the lower threshold or above the upper threshold), the script signals potential trading opportunities by plotting colored circles directly on the chart.
When the RSI exceeds the upper threshold and the candle is inside the previous one, the script plots a red circle (🔴) to indicate a potential overbought condition, which could signal a reversal or a selling opportunity. Conversely, when the RSI falls below the lower threshold under the same candle condition, it plots a yellow circle (🟡), suggesting a potential oversold condition, possibly signaling a buying opportunity. Additionally, built-in alert conditions notify users when these circles appear, enabling real-time awareness without constant chart monitoring. This visual and alert-based approach assists traders in identifying potential entry and exit points based on both price action and momentum indicators.
FutureFire v5 - 23/35 Candle Tracker with Custom ColorsThis indicator is designed to track the 23 and the 35 of every hour to help with identifying crucial swing points for intraday trading.
MY MADAM DIOR XAMD/AMDX Quarterly Theory Cycles🔵Introduction
The ICT Power of 3 (PO3) strategy, developed by Michael J. Huddleston, known as the Inner Circle Trader, is a structured approach to analyzing daily market activity. This strategy divides the trading day into three distinct phases: Accumulation, Manipulation, and Distribution.
Each phase represents a unique market behaviour influenced by institutional traders, offering a clear framework for retail traders to align their strategies with market movements.
Accumulation (19:00 - 01:00 EST) takes place during low-volatility hours, as institutional traders accumulate orders. Manipulation (01:00 - 07:00 EST) involves false breakouts and liquidity traps designed to mislead retail traders. Finally, Distribution (07:00 - 13:00 EST) represents the active phase where significant market movements occur as institutions distribute their positions in line with the broader trend.
This indicator is built upon the Power of 3 principles to provide traders with a practical and visual tool for identifying these key phases. By using clear color coding and precise time zones, the indicator highlights critical price levels, such as highs and lows, helping traders to better understand market dynamics and make more informed trading decisions.
Incorporating the ICT AMD setup into daily analysis enables traders to anticipate market behaviour, spot high-probability trade setups, and gain deeper insights into institutional trading strategies. With its focus on time-based price action, this indicator simplifies complex market structures, offering an effective tool for traders of all levels.
🔵How to Use
The ICT Power of 3 (PO3) indicator is designed to help traders analyze daily market movements by visually identifying the three key phases: Accumulation, Manipulation, and Distribution.
Here's how traders can effectively use the indicator:
🟣Accumulation Phase (19:00 - 01:00 EST)
Purpose: Identify the range-bound activity where institutional players accumulate orders.
Trading Insight: Avoid placing trades during this phase, as price movements are typically limited. Instead, use this time to prepare for the potential direction of the market in the next phases.
🟣Manipulation Phase (01:00 - 07:00 EST)
Purpose: Spot false breakouts and liquidity traps that mislead retail traders.
Trading Insight: Observe the market for price spikes beyond key support or resistance levels. These moves often reverse quickly, offering high-probability entry points in the opposite direction of the initial breakout.
🟣Distribution Phase (07:00 - 13:00 EST)
Purpose: Detect the main price movement of the day, driven by institutional distribution.
Trading Insight: Enter trades in the direction of the trend established during this phase. Look for confirmations such as breakouts or strong directional moves that align with broader market sentiment
🔵Settings
Show or Hide Phases: Decide whether to display Accumulation, Manipulation, or Distribution.
Adjust the session times for each phase:
Accumulation: 1900-0100 EST
Manipulation: 0100-0700 EST
Distribution: 0700-1300 EST
Modify Visualization: Customize how the indicator looks by changing settings like colors and transparency.
🔵Conclusion
The ICT Power of 3 (PO3) indicator is a powerful tool for traders seeking to understand and leverage market structure based on time and price dynamics. By visually highlighting the three key phases—Accumulation, Manipulation, and Distribution—this indicator simplifies the complex movements of institutional trading strategies.
With its customizable settings and clear representation of market behavior, the indicator is suitable for traders at all levels, helping them anticipate market trends and make more informed decisions.
Whether you're identifying entry points in the Accumulation phase, navigating false moves during Manipulation, or capitalizing on trends in the Distribution phase, this tool provides valuable insights to enhance your trading performance.
By integrating this indicator into your analysis, you can better align your strategies with institutional movements and improve your overall trading outcomes.
MY MADAM DIOR.....💃
MY MADAM DIOR Fake FilterIntroducing a new indicator This innovative tool goes beyond traditional MACD signals by analyzing positive and negative waves to determine the average height of the waves to filter false cross-over or cross-under signals during the sideways market.
There are two types of waves created by the MACD line, one is a positive wave above the "zero" line and another is a negative wave below "zero" line. Each wave has peaks. This indicator will find the average height of the positive waves' peaks and plot as a green line(by default). Vice-versa it will also find the average height of the negative waves' peaks and plot as a red line(by default).
This indicator will show labels when the MACD line crosses-under the MACD signal line above the average height of the positive waves.
Vice-versa, the indicator will show labels when the MACD line crosses-above the MACD signal line below the average height of the negative waves.
Alerts are also available for these types of cross-over and cross-under.
Flat NumbersCustomizable Price Range: Set the start price and end price to define the range in which horizontal lines will be plotted.
Line Color: Choose the color of the horizontal lines to match your chart's theme or personal preference.
Line Width: Adjust the width of the lines (from 1 to 5) to control their visibility.
Price Step Size: By default, the script plots lines every 100 price units within the range, but this step size can be customized if desired.
Dynamic Line Plotting: The script automatically calculates the number of lines needed and plots them at each interval between the start and end prices.
Multi-Timeframe ATR Levels by Hitesh2603Description:
"Multi-Timeframe ATR Levels by Hitesh2603" is a versatile and adaptive indicator designed to help traders identify key price levels based on the Average True Range (ATR) from a higher timeframe. The script automatically adapts to the current chart’s timeframe and allows you to customize the higher timeframe for ATR calculations, making it ideal for intraday and swing trading strategies.
The indicator plots upper and lower price levels based on the ATR multiplier, providing clear visual cues for potential profit-taking or exit points. It also includes features like editable timeframe presets , historical level plotting , labels , and alerts , making it a powerful tool for traders of all experience levels.
---
Key Features:
1. Automatic Timeframe Adaptation : - The script automatically detects the current chart’s timeframe and selects the appropriate higher timeframe for ATR calculations.
2. Editable Preset Timeframe Pairs : - Customize the higher timeframe for each chart timeframe directly in the indicator settings.
3. Dynamic ATR-Based Levels :- Plots upper and lower price levels using the formula:
- Upper Level = Current Candle Open + (Previous Candle ATR * Multiplier)
- Lower Level = Current Candle Open - (Previous Candle ATR * Multiplier)
4. Customizable Inputs :
- Adjust ATR length, multiplier, line length, colors, and more.
5. Labels :
- Displays the exact values of the upper and lower levels for easy reference.
6. Historical Levels :
- Optionally plots historical levels for all candles.
7. Alerts :
- Get notified when the price crosses the upper or lower levels.
---
Use Cases:
1. Intraday Trading :
- Use the script on a 5-minute or 15-minute chart with a 1-hour higher timeframe to identify intraday profit-taking or exit points.
2. Swing Trading :
- Use the script on a 1-hour or 4-hour chart with a daily higher timeframe to identify swing trading opportunities.
3. Position Trading :
- Use the script on a daily chart with a weekly higher timeframe to identify key levels for position trading.
4. Breakout Confirmation :
- Use the upper and lower levels as confirmation points for breakouts or reversals.
5. Risk Management :
- Use the levels to set stop-loss or take-profit targets based on market volatility.
---
How to Use:
1. Add the Script to Your Chart :
- Search for "Multi-Timeframe ATR Levels by Hitesh2603" in the TradingView indicator library and add it to your chart.
2. Customize the Settings :
- Adjust the inputs (e.g., ATR length, multiplier, line length, colors, etc.) to suit your trading strategy.
3. Set the Higher Timeframe :
- The script will automatically display an input for the higher timeframe based on the current chart’s timeframe. Customize it as needed.
4. Interpret the Levels :
- The script will plot two horizontal lines (upper and lower levels) on the chart. Use these levels for profit-taking, exits, or breakout confirmation.
5. Enable Alerts :
- Set up alerts to get notified when the price crosses the upper or lower levels.
---
Input Parameters:
1. ATR Length :
- The period used to calculate the ATR (default: 14).
2. ATR Multiplier :
- The multiplier applied to the ATR to calculate the levels (default: 0.65).
3. Line Length :
- The number of candles to extend the lines (default: 10).
4. Show Labels :
- Toggle to display the exact values of the levels (default: true).
5. Show Historical Levels :
- Toggle to plot historical levels for all candles (default: false).
6. Line Colors :
- Customize the colors of the upper and lower levels.
7. Line Width :
- Adjust the thickness of the lines (default: 2).
---
Example:
- Current Chart : 5-minute
- Higher Timeframe : 1-hour
- Previous Hour’s ATR : 4.6
- Current Hour’s Open : 102
- Multiplier : 0.65
Levels :
- Upper Level = 102 + (4.6 * 0.65) = 105.0
- Lower Level = 102 - (4.6 * 0.65) = 99.0
The script will plot horizontal lines at 105.0 and 99.0 on the 5-minute chart.
---
Alerts:
- Price Crosses Upper Level :
- Triggered when the price crosses above the upper level.
- Price Crosses Lower Level :
- Triggered when the price crosses below the lower level.
---
Notes:
- The script is designed to be flexible and adaptable to various trading styles and timeframes.
- Always backtest and validate the indicator with your trading strategy before using it in live trading.
---
Credits:
- Developed by Hitesh2603 .
- Special thanks to the TradingView community for inspiration and support.
Pure Price Action ICT Tools [MY MADAM DIOR]The Pure Price Action ICT Tools indicator is designed for pure price action analysis, automatically identifying real-time market structures, liquidity levels, order & breaker blocks, and liquidity voids.
Its unique feature lies in its exclusive reliance on price patterns, without being constrained by any user-defined inputs, ensuring a robust and objective analysis of market dynamics.
🔶 MARKET STRUCTURES
A Market Structure Shift, also known as a Change of Character (CHoCH), is a pivotal event in price action analysis indicating a potential change in market sentiment or direction. An MSS occurs when the price reverses from an established trend, signaling that the prevailing trend may be losing momentum and a reversal might be underway. This shift is often identified by key technical patterns, such as a higher low in a downtrend or a lower high in an uptrend, which indicate a weakening of the current trend's strength.
A Break of Structure typically indicates the continuation of the current market trend. This event occurs when the price decisively moves beyond a previous swing high or low, confirming the strength of the prevailing trend. In an uptrend, a BOS is marked by the price breaking above a previous high, while in a downtrend, it is identified by the price breaking below a previous low.
While a Market Structure Shift (MSS) can indicate a potential trend reversal and a Break of Structure (BOS) often confirms trend continuation, they do not assure a complete reversal or continuation. MSS and BOS levels can also function as liquidity zones or areas of price consolidation rather than definitively signaling a change in market direction. Traders should approach these signals cautiously and validate them with additional factors before making trading decisions. For further details on other components of the tool, please refer to the following sections.
🔶 ORDER & BREAKER BLOCKS
Order and Breaker Blocks are key concepts in price action analysis that help traders identify significant levels in the market structure.
Order Blocks are specific price zones where significant buying or selling activity has occurred. These zones often represent the actions of large institutional traders or market makers, who execute substantial orders that impact the market.
Breaker Blocks are specific price zones where a strong reversal occurs, causing a break in the prevailing market structure. These blocks indicate areas where the price encountered significant resistance or support, leading to a reversal.
In summary, Order and Breaker Blocks are essential tools in price action analysis, providing insights into significant market levels influenced by institutional trading activities. These blocks help traders make informed decisions about potential support and resistance levels, trend reversals, and breakout confirmations.
🔶 BUYSIDE & SELLSIDE LIQUIDITY
Both buy-side and sell-side liquidity zones are critical for identifying potential turning points in the market. These zones are where significant buying or selling interest is concentrated, influencing future price movements.
In summary, buy-side and sell-side liquidity provide crucial insights into market demand and supply dynamics, helping traders make informed decisions based on the availability of orders at different price levels.
🔶 LIQUIDITY VOIDS
Liquidity voids are gaps or areas on a price chart where there is a lack of trading activity. These voids represent zones with minimal to no buy or sell orders, often resulting in sharp price movements when the market enters these areas.
In summary, liquidity voids are crucial areas on a price chart characterized by a lack of trading activity. These voids can lead to rapid price movements and increased volatility, making them essential considerations for traders in their analysis and decision-making processes.
🔶 SWING POINTS
Reversal price points are commonly referred to as swing points. Traders often analyse historical swing points to discern market trends and pinpoint potential trade entry and exit points.
Do note that in this script these are subject to back painting, that is they are not located where they are detected.
The detection of swing points and the unique feature of this script rely exclusively on price action, eliminating the need for numerical user-defined settings. The process begins with detecting short-term swing points:
Short-Term Swing High (STH): Identified as a price peak surrounded by lower highs on both sides.
Short-Term Swing Low (STL): Recognized as a price trough surrounded by higher lows on both sides.
Intermediate-term and long-term swing points are detected using the same approach but with a slight modification. Instead of directly analyzing price candles, previously detected short-term swing points are utilized. For intermediate-term swing points, short-term swing points are analyzed, while for long-term swing points, intermediate-term ones are used.
This method ensures a robust and objective analysis of market dynamics, offering traders reliable insights into market structures. Detected swing points serve as the foundation for identifying market structures, buy-side/sell-side liquidity levels, and order and breaker blocks presented with this tool.
In summary, swing points are essential elements in technical analysis, helping traders identify trends, support, and resistance levels, and optimal entry and exit points. Understanding swing points allows traders to make informed decisions based on the natural price movements in the market.
🔶 SETTINGS
🔹 Market Structures
Market Structures: Toggles the visibility of the market structures, both shifts and breaks.
Detection: An option that allows users to detect market structures based on the significance of swing levels, including short-term, intermediate-term, and long-term.
Market Structure Labels: Controls the visibility of labels that highlight the type of market structure.
Line Style: Customizes the style of the lines representing the market structure.
🔹 Order & Breaker Blocks
Order & Breaker Blocks: Toggles the visibility of the order & breaker blocks.
Detection: An option that allows users to detect order & breaker blocks based on the significance of swing levels, including short-term, intermediate-term, and long-term.
Last Bullish Blocks: Number of the most recent bullish order/breaker blocks to display on the chart.
Last Bearish Blocks: Number of the most recent bearish order/breaker blocks to display on the chart.
Use Candle Body: Allows users to use candle bodies as order block areas instead of the full candle range.
🔹 Buyside & Sellside Liquidity
Buyside & Sellside Liquidity: Toggles the visibility of the buyside & sellside liquidity levels.
Detection: An option that allows users to detect buy-side & sell-side liquidity based on the significance of swing levels, including short-term, intermediate-term, and long-term.
Margin: Sets margin/sensitivity for a liquidity level detection.
Visible Levels: Controls the amount of the liquidity levels/zones to be visualized.
🔹 Liquidity Voids
Liquidity Voids: Enable display of both bullish and bearish liquidity voids.
Threshold Multiplier: Defines the multiplier for the threshold, which is hard-coded to the 200-period ATR range.
Mode: Controls the lookback length for detection and visualization. Present considers the last X bars specified in the option, while Historical includes all available data.
Label: Enable display of a label indicating liquidity voids.
🔹 Swing Highs/Lows
Swing Highs/Lows: Toggles the visibility of the swing levels.
Detection: An option that allows users to detect swing levels based on the significance of swing levels, including short-term, intermediate-term, and long-term.
Label Size: Control the size of swing level labels.
MY MADAM DIOR.....💃
VWAP [cryptalent]VWAP Indicator with Adjustable Source
Overview
This TradingView indicator calculates Daily, Weekly, and Monthly VWAP (Volume Weighted Average Price) with the flexibility to select different price sources (Open, High, Low, Close, HLC3, etc.). It also displays previous period VWAP levels, helping traders analyze past liquidity zones.
Key Features:
✅ Adjustable Source – Users can choose the price used for VWAP calculations (e.g., Close, High, Low, Open).
✅ Multi-Timeframe VWAP – Tracks Daily, Weekly, and Monthly VWAP to provide a broader market view.
✅ Historical VWAP Levels – Displays previous VWAP values for comparison and reference.
✅ Step Line Style – Ensures clear distinction between different periods and prevents overlapping.
✅ Visible in the Price Scale – The latest and historical VWAP values are displayed in the right-hand price scale for easy reference.
Customization:
You can easily modify the input settings to match your trading style.
Adjust the VWAP source price to test different perspectives (e.g., Open vs. High vs. Close).
EMA 60 + MACD buy or sell signalConditions for Buy Signal:
Price is above the EMA 60.
The MACD line (blue) is above the Signal line (red).
The MACD line is above the zero line.
The slope of the MACD line is positive (MACD is increasing).
Conditions for Sell Signal:
Price is below the EMA 60.
The MACD line (blue) is below the Signal line (red).
The MACD line is below the zero line.
The slope of the MACD line is negative (MACD is decreasing).
Monthly Buy IndicatorIt shows us the the total balance when buying monthly, ploting the total invested amount and total current balance along the time.
Opening the Data Window, it displays the profit (%) and the number of trades.
The "Allow Fractional Purchase" flag can be used to check the the performance of the ticker, disregarding how much the monthly amount is set vs the price of the ticker.
The trades are considering buying the available amount on the 1st candle of each month, at the Open price. The "Total Balance" considers the close price of each candle.
Wick Size in USD with 10-Bar AverageWick Size in USD with 10-Bar Average
Version: 1.0
Author: QCodeTrader
🔍 Overview
This indicator converts the price wicks of your candlestick chart into USD values based on ticks, providing both raw and smoothed data via a 10-bar simple moving average. It helps traders visualize the monetary impact of price extremes, making it easier to assess volatility, potential risk, and plan appropriate stop loss levels.
⚙️ Key Features
Tick-Based Calculation:
Converts wick sizes into ticks (using a fixed tick size of 0.01, typical for stocks) and then into USD using a customizable tick value.
10-Bar Moving Average:
Smooths out the wick values over the last 10 bars, giving you a clearer view of average wick behavior.
Bullish/Bearish Visual Cues:
The chart background automatically highlights bullish candles in green and bearish candles in red for quick visual assessment.
Stop Loss Optimization:
The indicator highlights long wick sizes, which can help you set more accurate stop loss levels. Even when the price moves in your favor, long wicks may indicate potential reversals—allowing you to account for this risk when planning your stop losses.
User-Friendly Customization:
Easily adjust the USD value per tick through the settings to tailor the indicator to your specific instrument.
📊 How It Works
Wick Calculation:
The indicator calculates the upper and lower wicks by measuring the distance between the candle’s high/low and its body (open/close).
Conversion to Ticks & USD:
These wick sizes are first converted from price points to ticks (dividing by a fixed tick size of 0.01) and then multiplied by the user-defined tick value to convert the measurement into USD.
Smoothing Data:
A 10-bar simple moving average is computed for both the upper and lower wick values, providing smoothed data that helps identify trends and deviations.
Visual Representation:
Columns display the raw wick sizes in USD.
Lines indicate the 10-bar moving averages.
Background Color shifts between green (bullish) and red (bearish) based on candle type.
⚡ How to Use
Add the Indicator:
Apply it to your chart to begin visualizing wick sizes in monetary terms.
Customize Settings:
Adjust the Tick Value in USD in the settings to match your instrument’s tick value.
(Note: The tick size is fixed at 0.01, which is standard for many stocks.)
Optimize Your Stop Loss:
Analyze the raw and averaged wick values to understand volatility. Long wicks—even when the price moves in your favor—may indicate potential reversals. This insight can help you set more accurate stop loss levels to protect your gains.
Analyze:
Use the indicator’s data to gauge market volatility and assess the significance of price movements, aiding in more informed trading decisions.
This indicator is perfect for traders looking to understand the impact of extreme price movements in monetary terms, optimize stop loss levels, and effectively manage risk across stocks and other instruments with similar tick structures.
Buy & Sell Zone IndicatorFeatures:
✅ Uses RSI, MACD, MA, EMA, BB, Fibonacci, and Support & Resistance
✅ Displays only Buy (Green) and Sell (Red) Zones
✅ No distractions – just clear zones for entry & exit
✅ Works on all time frames
Pi Cycle Top [maxty]For the Bitcoin Pi Cycle Top Indicator (using the 111DMA and 350DMA x 2), you should use the Daily (D) chart.
The Bitcoin Pi Cycle Top Indicator is a technical analysis tool used to predict potential market tops in Bitcoin’s price cycles. It was created by analyst Philip Swift and relies on the interaction between two specific moving averages: the 111-day moving average (111DMA) and a 2x multiple of the 350-day moving average (350DMA x 2). The indicator signals a possible peak when the shorter 111DMA crosses above the longer 350DMA x 2, suggesting that Bitcoin’s price has reached an overheated, unsustainable level relative to its historical trend.
It has accurately flagged Bitcoin cycle tops in past bull markets, typically within a few days of the peak.
Every year beginningHelp you to find the beginning of the year by a vertical line. Very good for backtesting in HTF.
Hanzo_Wave_Price %Hanzo_Wave_Price % is a custom indicator for the TradingView platform that combines RSI (Relative Strength Index) and Stochastic RSI while also displaying the percentage price change over a specified period. This indicator helps traders identify overbought and oversold conditions, analyze price waves, and forecast potential market movements.
How It Works
1. RSI and Stochastic RSI Calculation
RSI is calculated based on the selected price source (default: close) with a user-defined Main Line period.
Stochastic RSI is then applied and smoothed using a moving average.
The Main Line represents the smoothed Stochastic RSI, serving as a wave indicator to help identify potential entry and exit points.
2. Overbought and Oversold Zones
The 70 and 30 levels indicate overbought and oversold zones, displayed as dashed lines on the chart.
Additional 20% and 10% levels provide a visual reference for historical price changes, aiding in future predictions.
3. Percentage Price Change Calculation
The indicator calculates the percentage price change over a Barsback period (default: 30 candles).
Users can choose a multiplier (100 or 1000) for better visualization (1000 scales the values by dividing by 10).
The data is displayed as a colored area:
Red (Short) → Negative price change.
Green (Buy) → Positive price change.
Settings & Parameters
Multiplier 💪 – Selects the scaling factor (100 or 1000) for percentage values.
Main Line ✈️ – Stochastic smoothing period (smoothK).
Don't touch ✋ – Reserved value (do not modify).
RSI 🔴 – RSI calculation period.
Stochastic 🔵 – Stochastic RSI calculation period.
Source ⚠️ – Price source for calculations (default: close).
Price changes % 🔼🔽 – Enables percentage price change display.
Barsback ↩️ – Number of candles used to calculate price change.
Visual Representation
Gray Line (Takeprofit Line 🎯) – Smoothed Stochastic RSI.
Red Dashed Line (70) – Overbought zone.
Blue Dashed Line (30) – Oversold zone.
Percentage Price Change Display:
Green Fill → Price increase.
Red Fill → Price decrease.
Advantages
✅ Combined Analysis – Uses RSI and Stochastic RSI for more accurate market condition identification.
✅ Flexibility – Customizable parameters allow adaptation for different markets and strategies.
✅ Visual Clarity – Clearly defined zones and dynamic percentage change display.
✅ Additional Market Insights – The percentage price change helps assess market volatility.
Disadvantages
⚠ Lagging Signals – Smoothing may cause delayed response.
⚠ False Breakouts – The 70/30 levels may not always work effectively for all assets.
⚠ IMPORTANT!
This indicator is for informational and educational purposes only. Past performance does not guarantee future profits! Use it in combination with other technical analysis tools. 🚀
Example 1: Identifying a Long Position
📌 Scenario:
The asset price has dropped significantly (1-hour timeframe), and the Main Line (gray line) crosses below the 30 level. This signals oversold conditions, which may indicate a potential reversal or upward correction.
✅ How to Use:
1️⃣ Identifying the Entry Zone:
If the Main Line is below 30, consider looking for a long entry point.
2️⃣ Confirming the Signal:
Place a vertical line at the moment when the Main Line crosses the 30 level from below.
3️⃣ Confirmation on a Lower Timeframe:
Switch to a 30-minute timeframe and wait for the Main Line to cross above the 70 level.
Enter a long position at this point.
4️⃣ Analyzing Percentage Price Change:
Check the historical indicator behavior:
If a similar past movement resulted in a ~10% price increase (green fill), this may indicate potential upward momentum.
5️⃣ Setting Take-Profit:
Set a take-profit level at 10%, based on previous price movements.
Also, monitor when the Main Line crosses the 70 level, as this may signal a potential profit-taking point.
📊 Conclusion:
This method helps to precisely determine entry points by confirming signals across multiple timeframes and analyzing the historical volatility of the asset. 🚀
Example 2: Analyzing Percentage Price Change
📌 Scenario:
You have set the Barsback parameter to 30, and the indicator shows +3.5%. This means that over the last 30 candles, the price has increased by 3.5%.
However, such small changes might be visually difficult to notice. To improve visibility, you can enable the multiplier (1000), which will scale the displayed percentage change to 35%. This is purely for visual convenience—the actual price movement remains 3.5%.
✅ How to Use:
1️⃣ Identifying Trend Direction:
If the percentage change is positive (green area) → Uptrend.
If the percentage change is negative (red area) → Downtrend.
2️⃣ Analyzing Movement Strength:
Compare the current percentage change with previous waves to evaluate the strength of the movement.
For example:
If previous waves reached 10% or more, a current wave of 3.5% might indicate a weak trend or a local correction.
3️⃣ Additional Filtering with the Main Line (Gray Line):
Use the Main Line to confirm the trend.
If the percentage change shows an increase, but the Main Line is still below 30, further upward movement can be expected.
If the percentage change indicates a decline, but the Main Line is above 70, there is a higher probability of a downward reversal.
"It's unfortunate that TradingView restricts adding images to indicator descriptions unless you have a paid subscription. This makes it harder to share free tools effectively."
Window Seasonality IndicatorThis is a time window seasonal returns indicator. That is, it will provide the mean returns for a given time window based on a given number of lookbacks set by the user. The script finds matching time windows, e.g., 1st week of March going back 5 years or 9:00-10:00 window of every day going 50 days, and then calculates an average return for that window close price with respect to the close price in the immediately preceding time window, e.g. last week of February or 8:00-9:00 close price, respectively.
There are 4 input options:
1) Historical Periods to Average: Set the number of matching historical windows with which to calculate an average price. The max is 730 lookback windows. Note: for monthly or weekly windows, setting too large a number will cause the script to error out.
2) Use Open Price: calculates the seasonal returns using the open price rather than close price.
3) Show Bands: select from 1 Gaussian standard deviation or a nonparamateric ranked confidence interval. As a rough heuristic, the Gaussian band requires at least 30 lookback periods, and the ranked confidence interval requires 50 or more.
4) Upper Percentile: set the upper cutoff for ranked confidence interval.
5) Lower Percentile: set the lower cutoff for ranked confidence interval.
Please be aware, this indicator does not use rigorous statistical methodology and does not imply predictive power. You'll notice the range bands are very wide. Do not trade solely based on this indicator! Certain time windows, such as weekly and monthly, will make more sense applied to commodities, where annual cycles play a role in its supply and demand dynamics. Hourly windows are more useful in looking at equities markets. I like to look at equities with 1-hr windows to see if there is some pattern to overnight behavior or for market open and close.
