GOLDMASK Indicator (SO + Days Break)//@version=6
indicator("GOLDMASK Indicator (SO + Days Break)", overlay=true)
// Vstupy pro přizpůsobení stylu čar
lineStyleInput = input.string(title="Styl čáry", defval="Dashed", options= )
lineWidthInput = input.int(title="Šířka čáry", defval=1, minval=1)
sundayLineColor = input.color(title="Nedělní vertikální otevírací čára", defval=color.new(#00BFFF, 50)) // Světle modrá barva pro neděli
dayBreakColor = input.color(title="Čára přerušení dne", defval=color.new(#ADD8E6, 50)) // Světle modrá barva pro přerušení dne
weekStartColor = input.color(title="Čára začátku týdne", defval=color.new(#FF8C00, 50)) // Tmavě oranžová barva pro nový týden
// Definice funkce getLineStyle
getLineStyle(style) =>
switch style
"Dotted" => line.style_dotted
"Dashed" => line.style_dashed
"Solid" => line.style_solid
// Funkce pro převod čísla dne na název dne
getDayName(day) =>
switch day
1 => "Pondělí"
2 => "Úterý"
3 => "Středa"
4 => "Čtvrtek"
5 => "Pátek"
// Proměnná pro uložení ceny otevření v neděli
var float sundayOpenPrice = na
// Určení a vykreslení ceny otevření v neděli
if (dayofweek == dayofweek.sunday and hour == (syminfo.ticker == "XAUUSD" ? 18 : 17) and minute == 0)
sundayOpenPrice := open
// Vykreslení ceny otevření v neděli s 50% průhledností
plot(sundayOpenPrice, title="Sunday Open", style=plot.style_linebr, linewidth=lineWidthInput, color=sundayLineColor, trackprice=true)
// Funkce pro vykreslení vertikálních čar pro přerušení dne
drawVerticalLineForDay(dayOffset, isSunday) =>
int dayTimestamp = na(time) ? na : time - dayOffset * 86400000 + ((syminfo.ticker == "XAUUSD" ? 18 : 17) - 5) * 3600000
if not na(dayTimestamp) and hour(time ) < (syminfo.ticker == "XAUUSD" ? 18 : 17) and hour >= (syminfo.ticker == "XAUUSD" ? 18 : 17)
lineColor = isSunday ? weekStartColor : dayBreakColor
line.new(x1=bar_index, y1=low, x2=bar_index, y2=high, width=lineWidthInput, color=lineColor, style=line.style_dotted, extend=extend.both)
label.new(x=bar_index, y=high + 10, text=getDayName(dayofweek), style=label.style_label_down, color=color.white, textcolor=color.black, yloc=yloc.abovebar)
// Vykreslení čar pro poslední čtyři dny a použití jiné barvy pro neděli
for dayOffset = 0 to 3 by 1
isSunday = dayOffset == 0 and dayofweek == dayofweek.sunday
drawVerticalLineForDay(dayOffset, isSunday)
Statistics
LinReg Candles_UTalertLin Reg with alerts shows linear analysis and gives alerts when it moves above smoothened moving average
Kripto Trend, Bölge & Aşırı Alım-Satımaşırı alım satım ve hangi yöne meyilli olduğunu gösteren bir indikatör test ve geliştirme aşamasında..
[Weekly Heatmap 1h]This script is an upgrade of the editors pick heatmap script from @BobRivera990, so all credit really goes to him.
I added the most requested features from the original scripts comments and some of my personal preferences:
- I added some new metrics like Range, Winrate (probability of beeing a green candle) and Close - Open.
- I marked the current hour in the table.
- I added an hour-offset so you can match the heatmap to your favorite timezone.
- I added a lookback period (in weeks) with a start and end so you can find out if the inefficiency you discovered occured, if it is still active and so on. If you are unsure how the heatmap works, set lookback to 1 week and compare the map to the chart.
- I added white dots that visually show the lookback period (did some glitching there).
Please feel free to suggest more metrics and functionalities, I will add them in a future update.
An example how to find an inefficiency:
- "Weekday Colorizer" colors every day of the week.
- a script that marks every 16:00 candle.
- the OG-Volume heatmap by @BobRivera990 that shows that volume around 15:00-17:00 is high.
- my new heatmap, that shows that the shitcoin pumps at the start of this period and dumps later.
I think some automatic buyer is getting frontrun here.
smolka Bayesian Volatile ChannelDescription in English and Russian.
Bayesian Volatile Channel
The script is a loose interpretation of Bayes' theorem, which allows calculating the probability of events given that another event related to it has occurred, the script analyzes volatility and detects anomalies in price charts using a Bayesian approach, updating the model parameters to accurately estimate market fluctuations and detect changes in trends.
How does it work?
1. The script sets the initial parameters (mean price and standard deviation), creating a "hypothesis" about the market behavior.
2. When a new price appears, the script calculates the probability of its compliance with previous expectations. If the new price differs from the forecast, the model parameters (mean and standard deviation) are updated.
3. After updating the model, the probability that the current price and volatility correspond to a normal distribution is calculated.
4. Based on the updated model, volatility channels are built (mean price ± two standard deviations). If the price goes beyond these limits, this signals a possible anomaly indicating changes in the market.
5. The moving averages in the script act as data smoothing and trend analysis, helping to identify the market direction and minimize the impact of random fluctuations. The script uses moving averages to identify uptrends and downtrends, and calculates the average between them to display the overall market balance. These moving averages make market analysis clearer and more resistant to short-term fluctuations.
******************************************************************
Описание на английском и русском языках.
Байесовский волатильный канал
Скрипт является вольной интерпретацией теоремы Байеса, которая позволяет расчитать вероятность событий при условии, что произошло связанное с ним другое событие, скрипт анализирует волатильность и обнаруживает аномалии в графиках цен, используя байесовский подход, обновляя параметры модели для точной оценки рыночных колебаний и обнаружения изменений в тенденциях.
Как это работает?
1. Скрипт устанавливает начальные параметры (среднюю цену и стандартное отклонение), создавая "гипотезу" о поведении рынка.
2. При появлении новой цены скрипт вычисляет вероятность её соответствия предыдущим ожиданиям. Если новая цена отличается от прогноза, параметры модели (среднее и стандартное отклонение) обновляются.
3. После обновления модели рассчитывается вероятность того, что текущая цена и волатильность соответствуют нормальному распределению.
4. На основе обновлённой модели строятся каналы волатильности (средняя цена ± два стандартных отклонения). Если цена выходит за эти пределы, это сигнализирует о возможной аномалии, указывающей на изменения на рынке.
5. Средние скользящие в скрипте выполняют роль сглаживания данных и анализа трендов, помогая выявить направление рынка и минимизировать влияние случайных колебаний. Скрипт использует скользящие средние для определения восходящего и нисходящего трендов, а также рассчитывает среднее значение между ними для отображения общего баланса рынка. Эти скользящие средние делают анализ рынка более чётким и устойчивым к краткосрочным флуктуациям.
DynamicMovingAveragesLibrary "DynamicMovingAverages"
Custom Dynamic Moving Averages that allow a dynamic calculation beginning from the first bar
SMA(sourceData, maxLength)
Dynamic SMA
Parameters:
sourceData (float)
maxLength (int)
EMA(src, length)
Dynamic EMA
Parameters:
src (float)
length (int)
DEMA(src, length)
Dynamic DEMA
Parameters:
src (float)
length (int)
TEMA(src, length)
Dynamic TEMA
Parameters:
src (float)
length (int)
WMA(src, length)
Dynamic WMA
Parameters:
src (float)
length (int)
HMA(src, length)
Dynamic HMA
Parameters:
src (float)
length (int)
VWMA(src, volsrc, length)
Dynamic VWMA
Parameters:
src (float)
volsrc (float)
length (int)
SMMA(src, length)
Dynamic SMMA
Parameters:
src (float)
length (int)
LSMA(src, length, offset)
Dynamic LSMA
Parameters:
src (float)
length (int)
offset (int)
RMA(src, length)
Dynamic RMA
Parameters:
src (float)
length (int)
ALMA(src, length, offset_sigma, sigma)
Dynamic ALMA
Parameters:
src (float)
length (int)
offset_sigma (float)
sigma (float)
HyperMA(src, length)
Dynamic HyperbolicMA
Parameters:
src (float)
length (int)
Three Candlestick Alertcalculate the Three Candlestick net value find uptrend and downtrend with Alert
GOLDMASK Indicator (SO + Days Break)//@version=6
indicator("GOLDMASK Indicator (SO + Days Break)", overlay=true)
// Vstupy pro přizpůsobení stylu čar
lineStyleInput = input.string(title="Styl čáry", defval="Dashed", options= )
lineWidthInput = input.int(title="Šířka čáry", defval=1, minval=1)
sundayLineColor = input.color(title="Nedělní vertikální otevírací čára", defval=color.new(#00BFFF, 50)) // Světle modrá barva pro neděli
dayBreakColor = input.color(title="Čára přerušení dne", defval=color.new(#ADD8E6, 50)) // Světle modrá barva pro přerušení dne
weekStartColor = input.color(title="Čára začátku týdne", defval=color.new(#FF8C00, 50)) // Tmavě oranžová barva pro nový týden
// Definice funkce getLineStyle
getLineStyle(style) =>
switch style
"Dotted" => line.style_dotted
"Dashed" => line.style_dashed
"Solid" => line.style_solid
// Funkce pro převod čísla dne na název dne
getDayName(day) =>
switch day
1 => "Pondělí"
2 => "Úterý"
3 => "Středa"
4 => "Čtvrtek"
5 => "Pátek"
// Proměnná pro uložení ceny otevření v neděli
var float sundayOpenPrice = na
// Určení a vykreslení ceny otevření v neděli
if (dayofweek == dayofweek.sunday and hour == (syminfo.ticker == "XAUUSD" ? 18 : 17) and minute == 0)
sundayOpenPrice := open
// Vykreslení ceny otevření v neděli s 50% průhledností
plot(sundayOpenPrice, title="Sunday Open", style=plot.style_linebr, linewidth=lineWidthInput, color=sundayLineColor, trackprice=true)
// Funkce pro vykreslení vertikálních čar pro přerušení dne
drawVerticalLineForDay(dayOffset, isSunday) =>
int dayTimestamp = na(time) ? na : time - dayOffset * 86400000 + ((syminfo.ticker == "XAUUSD" ? 18 : 17) - 5) * 3600000
if not na(dayTimestamp) and hour(time ) < (syminfo.ticker == "XAUUSD" ? 18 : 17) and hour >= (syminfo.ticker == "XAUUSD" ? 18 : 17)
lineColor = isSunday ? weekStartColor : dayBreakColor
line.new(x1=bar_index, y1=low, x2=bar_index, y2=high, width=lineWidthInput, color=lineColor, style=line.style_dotted, extend=extend.both)
label.new(x=bar_index, y=high + 10, text=getDayName(dayofweek), style=label.style_label_down, color=color.white, textcolor=color.black, yloc=yloc.abovebar)
// Vykreslení čar pro poslední čtyři dny a použití jiné barvy pro neděli
for dayOffset = 0 to 3 by 1
isSunday = dayOffset == 0 and dayofweek == dayofweek.sunday
drawVerticalLineForDay(dayOffset, isSunday)
HiLo Multi-TF Highs & Volumes (Optimized)RVol + High of the 1st candle of 1m,3m,5m,15m in Daily timeframe
1m : Blue if 3% of Avg Daily Vol
Green if 5% of Avg Daily Vol
3m : Blue if 5% of Avg Daily Vol
Green if 10% of Avg Daily Vol
5m : Blue if 10% of Avg Daily Vol
Green if 15% of Avg Daily Vol
15m : Blue if 20% of Avg Daily Vol
Green if 25% of Avg Daily Vol
DCA KuCoin Strategy Backtesting [ScrimpleAI]This script is a backtester for a Dollar Cost Averaging (DCA) strategy on KuCoin, developed for TradingView. It allows users to simulate recurring investments in an asset, test different configurations, and find the best parameters to maximize performance. The script provides a detailed simulation of a DCA strategy, analyzing the impact of different configurations on investments over time. It is designed to be open-source on TradingView, offering a free tool to optimize the use of DCA bots on KuCoin.
Strategy Settings
The script uses an initial capital of 10,000 euros and sets a commission of 0.07 percent per trade. The invested amount is set as a percentage of equity, supporting up to 100 open trades simultaneously. Orders are processed at the close of each candle, and trading is conducted in euros.
Customizable Parameters
The script allows users to choose the investment interval, ranging from a minimum of one hour to a maximum of two weeks. Users can set the amount invested per trade, with a default value of 1,000 USDT and a minimum of 2 USDT. A maximum investment limit can also be defined, preventing further trades once this limit is reached. Additionally, a profit target is available, expressed as a percentage, indicating the profit level at which all positions will be closed.
Backtesting Period Selection
Users can select a specific time range to test the strategy. The bot will execute trades only within this period.
Strategy Logic
The bot makes the first purchase when no trades are open, using the current closing price to calculate the quantity of assets to buy. Subsequent purchases occur at the specified frequency, provided the invested capital does not exceed the set maximum limit. When total equity surpasses the initial value plus the profit target, the bot closes all positions to secure the profit. A check is implemented to prevent errors related to opening and closing trades simultaneously.
Error Management
The script ensures that the selected timeframe is compatible with the chosen investment interval. If the timeframe is too high compared to the investment frequency, an error is triggered. Additionally, if available capital becomes negative, the script stops execution and suggests modifying the test parameters.
Optimized Long-Only Strategy (Spot Market) - Candle Signals OnlyThis strategy is designed for long-only trading on the spot market and makes use of a combination of technical indicators to time entries and manage risk
Bollinger Bands Long Strategy
This strategy is designed for identifying and executing long trades based on Bollinger Bands and RSI. It aims to capitalize on potential oversold conditions and subsequent price recovery.
Key Features:
- Bollinger Bands (10,2): The strategy uses Bollinger Bands with a 10-period moving average and a multiplier of 2 to define price volatility.
- RSI Filter: A trade is only triggered when the RSI (14-period) is below 30, ensuring entry during oversold conditions.
- Entry Condition: A long trade is entered immediately when the price crosses below the lower Bollinger Band and the RSI is under 30.
- Exit Condition: The position is exited when the price reaches or crosses above the Bollinger Band basis (20-period moving average).
Best Used For:
- Identifying oversold conditions with a strong potential for a rebound.
- Markets or assets with clear oscillations and volatility e.g., BTC.
**Disclaimer:** This strategy is for educational purposes and should be used with caution. Backtesting and risk management are essential before live trading.
VolumeProfileLibrary "VolumeProfile"
Analyzes volume and price and calculates a volume profile, in particular the Point Of Control and Value Area values.
new(rowSizeInTicks, valueAreaCoverage, startTime)
Constructor method that creates a new Volume Profile
Parameters:
rowSizeInTicks (float) : Internal row size (aka resolution) of the volume profile. Useful for most futures contracts would be '1 / syminfo.mintick'. Default '4'.
valueAreaCoverage (int) : Percentage of total volume that is considered the Value Area. Default '70'
startTime (int) : Start time (unix timestamp in milliseconds) of the Volume Profile. Default 'time'.
Returns: VolumeProfile object
method calculatePOC(vp)
Calculates current Point Of Control of the VP
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: void
method calculateVA(vp)
Calculates current Value Area High and Low of the VP
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: void
method update(vp, h, l, v, t)
Processes new chart data and sorts volume into rows. Then calls calculatePOC() and calculateVA() to update the VP. Parameters are usually the output of request.security_lower_tf.
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
h (array) : Array of highs
l (array) : Array of lows
v (array) : Array of volumes
t (array) : Array of candle times
Returns: void
method setSessionHigh(vp, h)
Sets the high of the session the VP is tracking
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
h (float)
Returns: void
method setSessionLow(vp, l)
Sets the low of the session the VP is tracking
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
l (float)
Returns: void
method getPOC(vp)
Gets the current Point Of Control
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: Point Of Control (float)
method getVAH(vp)
Gets the current Value Area High
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: Value Area High (float)
method getVAL(vp)
Gets the current Value Area Low
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: Value Area Low (float)
VolumeProfile
Fields:
rowSizeInTicks (series float)
valueAreaCoverage (series int)
startTime (series int)
valueAreaHigh (series float)
pointOfControl (series float)
valueAreaLow (series float)
sessionHigh (series float)
sessionLow (series float)
volumeByRow (map)
totalVolume (series float)
pocRow (series float)
pocVol (series float)
Relative Strength Comparison 1//@version=5
indicator("Relative Strength Comparison", overlay=false)
// User Inputs
numSymbol = input.symbol("NSE:TCS", "Numerator Symbol") // Numerator security
denSymbol = input.symbol("NSE:INFY", "Denominator Symbol") // Denominator security
// Fetch security prices
numPrice = request.security(numSymbol, timeframe.period, close)
denPrice = request.security(denSymbol, timeframe.period, close)
// Calculate Relative Strength (RS)
relativeStrength = numPrice / denPrice
// Plot Relative Strength Line
plot(relativeStrength, title="Relative Strength Line", color=color.blue, linewidth=2)
Dynamic Deviation Levels [BigBeluga]Dynamic Deviation Levels is an innovative indicator designed to analyze price deviations relative to a smoothed midline. It provides traders with visual cues for overbought/oversold zones, price momentum, levels through labeled deviations and gradient candle coloring.
🔵Key Features:
Smoothed Midline:
A central line calculated as a smoothed median of the price source, serving as the baseline for price deviation analysis.
Dynamic Deviation Levels:
- Three deviation levels are plotted above and below the midline, with labels (1, 2, 3, -1, -2, -3) marking significant price movements.
- Helps traders identify overbought and oversold market conditions.
Heat-Colored Candles:
- Candle colors shift in intensity based on the deviation level, with four gradient shades for both upward and downward movements.
- Quickly highlights market extremes or stable zones.
Interactive Color Scale:
- A gradient scale at the bottom right of the chart visually represents deviation values.
- A triangle marker indicates the current price deviation in real time.
Optional Deviation Levels Display:
- Traders can enable all dynamic levels on the chart to visualize support and resistance areas dynamically.
🔵Usage and Benefits:
Identify Overbought/Oversold Zones: Use labeled deviation levels and heat-colored candles to spot stretched market conditions.
Track Trend Reversals and Momentum: Monitor price interactions with deviation levels for potential trend continuation or reversal signals.
Real-Time Deviation Insights: Leverage the color scale and triangle marker for live deviation tracking and actionable insights.
Map Dynamic Support and Resistance: Enable dynamic levels to highlight key areas where price reactions are likely to occur.
Dynamic Deviation Levels is an indispensable tool for traders aiming to combine price dynamics, momentum analysis, and visual clarity in their trading strategies.
Swing Profile Analyzer [ChartPrime]Swing Profile Analyzer
The Swing Profile Analyzer is a comprehensive tool designed to provide traders with valuable insights into swing frequency profiles, enabling them to identify key price levels and areas of market interest.
⯁ KEY FEATURES
Swing Frequency Profiles
Automatically plots frequency profiles for each swing, highlighting price distribution and key levels of significance.
Point of Control (POC) Line
Marks the price level with the highest number of closes within a swing, acting as a key area for potential price reactions.
Customizable Trend Display
Allows users to toggle between displaying profiles for bullish swings, bearish swings, or both, offering tailored analysis.
Integrated ZigZag Lines
Visualizes swing highs and lows, providing a clear picture of market trends and reversals.
Dynamic Profile Visualization
Profiles are color-coded to indicate the frequency of closes, with the highest value bins distinctly marked for easy recognition.
Max Frequency Highlight
Displays numerical values for the most active price level within each profile, showing how many closes occurred at the peak bin.
Updates only after swing formed
Profiles and POC lines automatically appear after swing is done
⯁ HOW TO USE
Identify Critical Price Levels
Use the POC line and frequency distribution to locate levels where price is likely to react or consolidate.
Analyze Swing Characteristics
Observe swing profiles to understand the strength, duration, and behavior of market trends.
Plan Entries and Exits
Leverage significant price levels and high-frequency bins to make more informed trading decisions.
Focus on Specific Trends
Filter profiles to analyze bullish or bearish swings based on your trading strategy.
⯁ CONCLUSION
The Swing Profile Analyzer is an essential tool for traders seeking to understand price dynamics within market swings. By combining frequency profiles, POC levels, and trend visualization, it enhances your ability to interpret and act on market movements effectively.
Pearson Correlation CoefficientDescription: The Pearson Correlation Coefficient measures the strength and direction of the linear relationship between two data series. Its value ranges from -1 to +1, where:
+1 indicates a perfect positive linear correlation: as one asset increases, the other asset increases proportionally.
0 indicates no linear correlation: variations in one asset have no relation to variations in the other asset.
-1 indicates a perfect negative linear correlation: as one asset increases, the other asset decreases proportionally.
This measure is widely used in technical analysis to assess the degree of correlation between two financial assets. The "Pearson Correlation (Manual Compare)" indicator allows users to manually select two assets and visually display their correlation relationship on a chart.
Features:
Correlation Period: The time period used for calculating the correlation can be adjusted (default: 50).
Comparison Asset: Users can select a secondary asset for comparison.
Visual Plots: The chart includes reference lines for perfect correlations (+1 and -1) and strong correlations (+0.7 and -0.7).
Alerts: Set alerts for when the correlation exceeds certain threshold values (e.g., +0.7 for strong positive correlation).
How to Select the Second Asset:
Primary Asset Selection: The primary asset is the one you select for viewing on the chart. This can be done by simply opening the chart for the desired asset.
Secondary Asset Selection: To select the secondary asset for comparison, use the input field labeled "Comparison Asset" in the script settings. You can manually enter the ticker symbol of the secondary asset you want to compare with the primary asset.
This indicator is ideal for traders looking to identify relationships and correlations between different financial assets to make informed trading decisions.
ICT Killzones + Macros V2 [TakingProphets]The ICT Killzones indicator is a powerful tool designed to visualize key trading sessions and market timing elements used in ICT (Inner Circle Trader) methodology. It includes:
• Session Markers:
- Asia Session
- London Session
- NY AM Session
- NY Lunch Session
- NY PM Session
• Key Price Levels:
- Session high/low levels that extend until violated
- Midnight Open price level (dotted line)
- True Day Open price level (6 PM EST, dotted line)
• ICT Macro Timing:
- First Macro: 9:45 AM - 10:15 AM EST
- Second Macro: 10:45 AM - 11:15 AM EST
- Distinctive brackets marking start and end times
Features:
• Fully customizable colors and styles for all elements
• Adjustable label positions and sizes
• Toggle options for each component
• Smart timeframe filtering
• Clean, uncluttered visual design
This indicator helps traders identify key market structure points, session transitions, and optimal trading windows based on ICT concepts.
Talha's Pro Signal (Version 5)Talha's Pro Signal – Smart Trading Indicator
🔹 Talha's Pro Signal is a multi-indicator trading strategy that combines EMA, RSI, and MACD to generate reliable BUY & SELL signals for traders.
✅ Key Features:
. EMA (9 & 21): Identifies trend direction and potential entries.
. RSI (14): Analyzes market strength and overbought/oversold conditions.
. MACD (12, 26, 9): Confirms trend momentum and crossovers.
. ATR-Based SL & TP: Smart risk management with stop loss & take profit levels.
. Clear Entry & Exit Signals: Plots precise BUY & SELL labels and arrows on the chart.
🎯 This indicator is suitable for Forex, Stocks, Crypto, and other markets. Always follow your own analysis and risk management before taking a trade.
📌 Free to Use – Happy Trading! 🚀
Talha's Pro Signal – Smart Trading Indicator
🔹 Talha's Pro Signal হল একটি মাল্টি-ইন্ডিকেটর ট্রেডিং স্ট্র্যাটেজি, যা EMA, RSI ও MACD এর সমন্বয়ে নির্ভরযোগ্য BUY ও SELL সিগন্যাল প্রদান করে।
✅ Key Features:
. EMA (9 & 21): ট্রেন্ড ফলো করে সঠিক এন্ট্রি নির্ধারণ করে।
. RSI (14): মার্কেটের শক্তি ও ওভারবট/ওভারসোল্ড কন্ডিশন বিশ্লেষণ করে।
. MACD (12, 26, 9): ট্রেন্ড কনফার্মেশন ও মোমেন্টাম বিশ্লেষণ করে।
. ATR-Based SL & TP: স্মার্ট রিস্ক ম্যানেজমেন্ট।
. Clear Entry & Exit Signals: চার্টে স্পষ্ট BUY & SELL লেবেল ও অ্যারো প্লটিং।
🎯 এই ইন্ডিকেটরটি ফরেক্স, স্টক, ক্রিপ্টোসহ সব মার্কেটে ব্যবহারযোগ্য। ট্রেড নেওয়ার আগে অবশ্যই নিজের এনালাইসিস ও রিস্ক ম্যানেজমেন্ট অনুসরণ করুন।
📌 Free to Use – Happy Trading! 🚀
Chart Box Session Indicator [ScrimpleAI]This indicator allows highlighting specific time sessions within a chart by creating colored boxes to represent the price range of the selected session. Is an advanced and flexible tool for graphically segmenting trading sessions. Thanks to its extensive customization options and advanced visualization features, it allows traders to gain a clear representation of key market areas based on chosen time intervals.
The indicator offers two range calculation modes:
- Body to Body : considers the range between the opening and closing price.
- Wick to Wick : considers the range between the session's low and high.
Key Features
1. Session Configuration
- Users can select the time range of the session of interest.
- Option to choose the day of the week for the calculation.
- Supports UTC timezone selection to correctly align data.
2. Customizable Visualization
- Option to display session price lines.
- Ability to show a central price line.
- Extension of session lines beyond the specified duration.
3. Graphical Display Configuration
- Three different background configurations to suit light and dark themes.
- Two gradient modes for session coloring:
- Centered : the color is evenly distributed.
- Off-Centered : the gradient is asymmetrical.
How It Works
The indicator determines whether the current time falls within the selected session, creating a colored box that highlights the corresponding price range.
Depending on user preferences, the indicator draws horizontal lines at the minimum and maximum price levels and, optionally, a central line.
During the session:
- The lowest and highest session prices are dynamically updated.
- The range is divided into 10 bands to create a gradient effect.
- A colored box is generated to visually highlight the chosen session.
If the Extend Lines option is enabled, price lines continue even after the session ends, keeping the range visible for further analysis.
Usage
This indicator is useful for traders who want to analyze price behavior in specific timeframes. It is particularly beneficial for strategies based on market sessions (e.g., London or New York open) or for identifying accumulation and distribution zones.
ELHAI Futures Trend Checker (ES, NQ, YM)The ELHAI Futures Trend Checker is a powerful TradingView indicator designed for futures traders who want to monitor the trend synchronization of the three major U.S. futures indices:
✅ E-mini S&P 500 (ES1!)
✅ E-mini Nasdaq 100 (NQ1!)
✅ E-mini Dow Jones (YM1!)
This indicator checks whether all three futures indices are bullish or bearish during each candle formation. If one of them is out of sync (e.g., two indices are bullish while one is bearish), the indicator triggers an alert and highlights the background in red, helping traders identify potential market indecision or divergence.
Key Features
📌 Designed for Futures Traders – Focuses on ES, NQ, and YM futures contracts.
📌 Live Market Monitoring – Works in real-time and updates dynamically with each tick.
📌 Bullish/Bearish Trend Confirmation – Detects when all three indices are in sync.
📌 Mismatch Detection – Alerts you when at least one index is out of trend.
📌 Custom Alerts – Set up TradingView alerts to be notified instantly when a trend mismatch occurs.
📌 Visual Background Highlight – A red background warns of a market divergence.
How It Works
The script retrieves open and close prices for ES, NQ, and YM.
Determines whether each futures index is bullish (close > open) or bearish (close < open).
If all three indices are bullish or all are bearish, it remains neutral.
If one index is different, an alert is triggered and the background turns red.
How to Use
Apply the indicator to your TradingView chart.
Choose any timeframe – Works well on intraday, daily, or higher timeframes.
Enable alerts: Go to Alerts → Create Alert, select "Futures Trend Mismatch", and set your preferred alert frequency.
Use alongside other indicators like moving averages, RSI, or MACD for better trade confirmation.
Best Use Cases
✔ Day traders & scalpers – Quickly spot market divergence in live trading.
✔ Swing traders – Identify when futures markets lose synchronization.
✔ Trend followers – Confirm if all major futures markets are aligned before making a move.
Final Notes
This indicator was built for Elhai to provide real-time trend analysis across major U.S. futures indices. Use it as a confirmation tool to improve market timing and decision-making.
ELHAI INDICES CHECKERDescription
The Major Indices Trend Checker is a powerful TradingView indicator designed to monitor the trend synchronization of the three major U.S. stock indices:
✅ S&P 500 (SPX)
✅ Nasdaq 100 (NDX)
✅ Dow Jones Industrial Average (DJI)
This indicator checks whether all three indices are bullish or bearish during each candle formation. If one of them is out of sync (e.g., two indices are bullish while one is bearish), the indicator triggers an alert and highlights the background in red, helping traders identify potential market indecision or divergence.
Key Features
📌 Live Market Monitoring – Works in real-time, updating dynamically with every tick.
📌 Bullish/Bearish Trend Check – Confirms if all three indices are aligned in the same trend.
📌 Mismatched Trend Detection – Alerts you when at least one index is not following the others.
📌 Custom Alerts – Set up TradingView alerts to notify you when a trend mismatch occurs.
📌 Visual Background Highlight – Red background indicates an out-of-sync market.
How It Works
The script retrieves open and close prices for SPX, NDX, and DJI.
Determines whether each index is bullish (close > open) or bearish (close < open).
If all three indices are bullish or all are bearish, it remains neutral.
If one index is out of sync, an alert is triggered and the background turns red.
How to Use
Apply the indicator to your TradingView chart.
Select any timeframe – it works on all intraday, daily, and higher timeframes.
Enable alerts: Go to Alerts → Create Alert, select "Trend Mismatch", and choose how often you want to be notified.
Use it with other indicators for confirmation, such as moving averages, RSI, or MACD.
Best Use Cases
✔ Day traders & scalpers – Spot market uncertainty early in the session.
✔ Swing traders – Identify moments when markets lack alignment before making a move.
✔ Trend followers – Avoid entering trades when major indices disagree on direction.
Final Notes
This indicator helps you stay ahead of market indecision by highlighting divergence among major indices. Use it as a confirmation tool alongside your strategy to improve your market timing and decision-making.
ICT Killzones + Macros [TakingProphets]The ICT Killzones indicator is a powerful tool designed to visualize key trading sessions and market timing elements used in ICT (Inner Circle Trader) methodology. It includes:
• Session Markers:
- Asia Session
- London Session
- NY AM Session
- NY Lunch Session
- NY PM Session
• Key Price Levels:
- Session high/low levels that extend until violated
- Midnight Open price level (dotted line)
- True Day Open price level (6 PM EST, dotted line)
• ICT Macro Timing:
- First Macro: 9:45 AM - 10:15 AM EST
- Second Macro: 10:45 AM - 11:15 AM EST
- Distinctive L-shaped brackets marking start and end times
Features:
• Fully customizable colors and styles for all elements
• Adjustable label positions and sizes
• Toggle options for each component
• Smart timeframe filtering
• Clean, uncluttered visual design
This indicator helps traders identify key market structure points, session transitions, and optimal trading windows based on ICT concepts.
