استراتيجية الشريف أيمن المتقدمةسكريبت AYMAN ALHSSUEN هو أداة تداول احترافية مصممة لدعم المتداولين في اتخاذ قرارات دقيقة وسريعة بناءً على إشارات فنية مدروسة.
يعتمد المؤشر على عدة عناصر تقنية مجمّعة في واجهة واحدة سهلة الفهم، تشمل:
الاتجاه العام باستخدام المتوسطات المتحركة (EMA 20 و EMA 50).
مؤشر VWAP لمراقبة السعر العادل والمؤسسي.
مؤشر Stochastic لتحديد مناطق التشبع الشرائي والبيعي.
إشارات شموع فنية (ابتلاع شرائي وبيعي، دوجي، وغيرها).
تلوين الخلفية حسب الاتجاه لمساعدة المتداول بصرياً.
دعم تنبيهات ذكية لفرص الدخول والخروج.
مناسب لجميع الفريمات، مع أفضل أداء على فريم 15 دقيقة و1 ساعة.
هذا السكربت مخصص للاستخدام الشخصي أو بدعوة خاصة فقط، ويمنع إعادة النشر أو التعديل دون إذن رسمي
The AYMAN ALHSSUEN script is a professional trading tool designed to help traders make fast and accurate decisions based on advanced technical signals.
This indicator combines several powerful features into one clean interface, including:
Market trend detection using EMA 20 and EMA 50.
VWAP for institutional fair value tracking.
Stochastic Oscillator to detect overbought and oversold conditions.
Smart candlestick patterns (Bullish/Bearish Engulfing, Doji, etc.).
Background coloring to visually guide the overall trend.
Intelligent alerts for optimal entry and exit points.
Works on all timeframes, optimized for 15-min and 1-hour charts.
This script is invite-only and for personal use only.
Reproduction or redistribution is prohibited without explicit permission.
Penunjuk dan strategi
wma+ tendance🟢 Wma+ tendance– Trend Ribbon with Weighted Moving Averages and Alerts
Description:
Wma+ tendance is a visual trend indicator that uses two Weighted Moving Averages (WMA) – a fast and a slow one – to clearly highlight market direction. It fills the space between the two WMAs with dynamic colors and includes alerts for trend changes.
🟩 Green: Uptrend – the fast WMA is above the slow WMA, and both are rising.
🟥 Red: Downtrend – the fast WMA is below the slow WMA, and both are falling.
⬜ Gray: No clear trend – indicating potential sideways or consolidating price action.
Features:
Trend ribbon visualized between fast and slow WMAs
Alerts for bullish and bearish trend detection
Customizable inputs for MA lengths and price source
Use cases:
Spot early trend formations
Combine with other indicators for confirmation
Adaptable for intraday and swing trading strategies
This script helps traders stay on the right side of the trend with minimal noise and real-time alerts.
VWAP + EMA Cross + MACD Signal + POC & Trailing Stop AlertThis indicator combines several key trading signals into one visual tool for intraday and swing trading:
VWAP (Volume Weighted Average Price): Plotted as an orange line to track fair value and intraday trend.
EMA 9/21 Crossovers: Plots BUY/SELL signals based on bullish or bearish EMA crossovers, shown with green and red labels.
MACD Crossovers: Displays MACD↑ and MACD↓ triangle markers to identify momentum shifts.
POC (Point of Control): User-defined static level (default: 56.52) plotted as a blue horizontal line to mark key support/resistance.
Trailing Stop Line: Dynamically trails from the recent high, with a customizable offset. Helps visualize stop-loss levels.
Built-in Alerts: Automatically triggers alerts for:
EMA + MACD crossover confluence (Strong Buy/Sell)
Price crossing above POC
Price falling below the trailing stop
This tool is designed to help traders spot confluence-based entries, momentum shifts, and logical exit zones — all in one overlay indicator.
Ultimate Minute Marker Pro V4Mark individual minutes using Algo path. Added 9 time slots with customizable options.
MACD COM PONTOS//@version=5
indicator(title="MACD COM PONTOS", shorttitle="MACD COM PONTOS")
//Plot Inputs
res = input.timeframe("", "Indicator TimeFrame")
fast_length = input.int(title="Fast Length", defval=12)
slow_length = input.int(title="Slow Length", defval=26)
src = input.source(title="Source", defval=close)
signal_length = input.int(title="Signal Smoothing", minval = 1, maxval = 999, defval = 9)
sma_source = input.string(title="Oscillator MA Type", defval="EMA", options= )
sma_signal = input.string(title="Signal Line MA Type", defval="EMA", options= )
// Show Plots T/F
show_macd = input.bool(true, title="Show MACD Lines", group="Show Plots?", inline="SP10")
show_macd_LW = input.int(3, minval=0, maxval=5, title = "MACD Width", group="Show Plots?", inline="SP11")
show_signal_LW= input.int(2, minval=0, maxval=5, title = "Signal Width", group="Show Plots?", inline="SP11")
show_Hist = input.bool(true, title="Show Histogram", group="Show Plots?", inline="SP20")
show_hist_LW = input.int(5, minval=0, maxval=5, title = "-- Width", group="Show Plots?", inline="SP20")
show_trend = input.bool(true, title = "Show MACD Lines w/ Trend Color", group="Show Plots?", inline="SP30")
show_HB = input.bool(false, title="Show Highlight Price Bars", group="Show Plots?", inline="SP40")
show_cross = input.bool(false, title = "Show BackGround on Cross", group="Show Plots?", inline="SP50")
show_dots = input.bool(true, title = "Show Circle on Cross", group="Show Plots?", inline="SP60")
show_dots_LW = input.int(5, minval=0, maxval=5, title = "-- Width", group="Show Plots?", inline="SP60")
//show_trend = input(true, title = "Colors MACD Lines w/ Trend Color", group="Show Plots?", inline="SP5")
// MACD Lines colors
col_macd = input.color(#FF6D00, "MACD Line ", group="Color Settings", inline="CS1")
col_signal = input.color(#2962FF, "Signal Line ", group="Color Settings", inline="CS1")
col_trnd_Up = input.color(#4BAF4F, "Trend Up ", group="Color Settings", inline="CS2")
col_trnd_Dn = input.color(#B71D1C, "Trend Down ", group="Color Settings", inline="CS2")
// Histogram Colors
col_grow_above = input.color(#26A69A, "Above Grow", group="Histogram Colors", inline="Hist10")
col_fall_above = input.color(#B2DFDB, "Fall", group="Histogram Colors", inline="Hist10")
col_grow_below = input.color(#FF5252, "Below Grow", group="Histogram Colors",inline="Hist20")
col_fall_below = input.color(#FFCDD2, "Fall", group="Histogram Colors", inline="Hist20")
// Alerts T/F Inputs
alert_Long = input.bool(true, title = "MACD Cross Up", group = "Alerts", inline="Alert10")
alert_Short = input.bool(true, title = "MACD Cross Dn", group = "Alerts", inline="Alert10")
alert_Long_A = input.bool(false, title = "MACD Cross Up & > 0", group = "Alerts", inline="Alert20")
alert_Short_B = input.bool(false, title = "MACD Cross Dn & < 0", group = "Alerts", inline="Alert20")
// Calculating
fast_ma = request.security(syminfo.tickerid, res, sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length))
slow_ma = request.security(syminfo.tickerid, res, sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length))
macd = fast_ma - slow_ma
signal = request.security(syminfo.tickerid, res, sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length))
hist = macd - signal
// MACD Trend and Cross Up/Down conditions
trend_up = macd > signal
trend_dn = macd < signal
cross_UP = signal >= macd and signal < macd
cross_DN = signal <= macd and signal > macd
cross_UP_A = (signal >= macd and signal < macd) and macd > 0
cross_DN_B = (signal <= macd and signal > macd) and macd < 0
// Condition that changes Color of MACD Line if Show Trend is turned on..
trend_col = show_trend and trend_up ? col_trnd_Up : trend_up ? col_macd : show_trend and trend_dn ? col_trnd_Dn: trend_dn ? col_macd : na
//Var Statements for Histogram Color Change
var bool histA_IsUp = false
var bool histA_IsDown = false
var bool histB_IsDown = false
var bool histB_IsUp = false
histA_IsUp := hist == hist ? histA_IsUp : hist > hist and hist > 0
histA_IsDown := hist == hist ? histA_IsDown : hist < hist and hist > 0
histB_IsDown := hist == hist ? histB_IsDown : hist < hist and hist <= 0
histB_IsUp := hist == hist ? histB_IsUp : hist > hist and hist <= 0
hist_col = histA_IsUp ? col_grow_above : histA_IsDown ? col_fall_above : histB_IsDown ? col_grow_below : histB_IsUp ? col_fall_below :color.silver
// Plot Statements
//Background Color
bgcolor(show_cross and cross_UP ? col_trnd_Up : na, editable=false)
bgcolor(show_cross and cross_DN ? col_trnd_Dn : na, editable=false)
//Highlight Price Bars
barcolor(show_HB and trend_up ? col_trnd_Up : na, title="Trend Up", offset = 0, editable=false)
barcolor(show_HB and trend_dn ? col_trnd_Dn : na, title="Trend Dn", offset = 0, editable=false)
//Regular Plots
plot(show_Hist and hist ? hist : na, title="Histogram", style=plot.style_columns, color=color.new(hist_col ,0),linewidth=show_hist_LW)
plot(show_macd and signal ? signal : na, title="Signal", color=color.new(col_signal, 0), style=plot.style_line ,linewidth=show_signal_LW)
plot(show_macd and macd ? macd : na, title="MACD", color=color.new(trend_col, 0), style=plot.style_line ,linewidth=show_macd_LW)
hline(0, title="0 Line", color=color.new(color.gray, 0), linestyle=hline.style_dashed, linewidth=1, editable=false)
plot(show_dots and cross_UP ? macd : na, title="Dots", color=color.new(trend_col ,0), style=plot.style_circles, linewidth=show_dots_LW, editable=false)
plot(show_dots and cross_DN ? macd : na, title="Dots", color=color.new(trend_col ,0), style=plot.style_circles, linewidth=show_dots_LW, editable=false)
//Alerts
if alert_Long and cross_UP
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD Crosses Up.", alert.freq_once_per_bar_close)
if alert_Short and cross_DN
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD Crosses Down.", alert.freq_once_per_bar_close)
//Alerts - Stricter Condition - Only Alerts When MACD Crosses UP & MACD > 0 -- Crosses Down & MACD < 0
if alert_Long_A and cross_UP_A
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD > 0 And Crosses Up.", alert.freq_once_per_bar_close)
if alert_Short_B and cross_DN_B
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD < 0 And Crosses Down.", alert.freq_once_per_bar_close)
//End Code
Market Timing ModelJust my basic market timing model, based on breadth indicators, as well as the distance from the 50dma on the IWM, with some tweaks. Marking accumulation and distribution days as well.
Key Open LevelsThis Pine Script indicator (Key Open Levels) allows users to highlight up to six specific open prices from different times of the trading day as horizontal lines on the chart.
Each line can be customized with user-defined style, width, and color settings.
Users also have the option to display price labels directly on the lines for added clarity.
The indicator is designed to work seamlessly across all intraday timeframes, including seconds, minutes, and hourly intervals, making it versatile for various trading strategies that rely on key intraday price levels.
This indicator has proved to be a key indicator especially for people studying Futures market reaction around Key Open Levels.
Aufwärtstrend (EMA Crossover + Close > EMA20)Aufwärtstrend (EMA Crossover + Close > EMA20)
📈 EMA Crossover Uptrend Indicator with Alert Function
This script identifies potential uptrends based on an EMA crossover strategy, and provides a simple way to set alerts for trend shifts.
🔍 Indicator Logic:
Two Exponential Moving Averages (EMAs) are calculated:
EMA 8 (fast)
EMA 20 (slow)
An uptrend is detected when:
EMA 8 crosses above EMA 20 (bullish crossover), and
the closing price is above EMA 20.
📌 Features:
Plots both EMAs on the chart (optional).
A green "↑" label is displayed below the bar when an uptrend is detected.
Alert conditions:
"Uptrend": When both crossover and close-above-EMA20 conditions are met.
"Downtrend": When those conditions are not met.
🔔 How to Use Alerts:
After adding the script to your chart, go to “Create Alert” and choose between the two alert conditions. The alert messages are:
"Uptrend detected: EMA8 crossed above EMA20 and Close is above EMA20"
"Downtrend detected: Uptrend conditions not met"
💡 Use Cases:
Early identification of bullish market conditions.
Useful for timing long entries.
Can be combined with other tools for trend confirmation.
52 weeks High/LowDisplay the 52 week, 20 week, and 90 day highs and lows in an easy to read table in the top right corner of the chart. Also draw color-coordinated horizontal lines on the chart to market the levels and the dates they occured.
MAHESH BORADE EMA 9/21 Crossover with VWAPMAHESH BORADE EMA 9/21 Crossover with VWAP
When EMA 9 cross upward to EMA 21 then Buy
When EMA 9 cross downward to EMA 21 then Sell
Pivotes 5x5 Alcistas y Bajistas (funcional)Description v1.0
This indicator identifies advanced pivot points based on a symmetrical candle analysis. It evaluates a window of 11 candles (5 previous, 1 center, and 5 forward), marking a bullish pivot when the center candle's close is lower than all others in the window—suggesting a potential upward reversal. Conversely, it marks a bearish pivot when the center candle's close is higher than all surrounding candles, signaling a possible downward movement or trend shift. This method avoids common false signals by ensuring that pivots are significant relative to their context. It also includes filtering logic to prevent multiple nearby signals in congested market zones. Green upward-pointing triangles indicate potential buy zones, while red downward-pointing triangles mark potential sell or profit-taking areas. Due to the use of future candles for confirmation, signals are plotted with an automatic offset to align with the correct bar. This tool is ideal for traders seeking clean, price-action-based entries without relying on additional lagging indicators.
ATR TargetsMark daily ATR levels above and below the current price. Pick the multiples you prefer. Useful for setting profit targets and stop losses based on ATR
ATR to Horiz LinePick a price and this indicator will show you how far away it is from the current price in terms of daily and weekly ATR and ADR. Useful for setting realistic targets or estimating how long it may take to reach a target.
PhenLabs - Market Fluid Dynamics📊 Market Fluid Dynamics -
Version: PineScript™ v6
📌 Description
The Market Fluid Dynamics - Phen indicator is a new thinking regarding market analysis by modeling price action, volume, and volatility using a fluid system. It attempts to offer traders control over more profound market forces, such as momentum (speed), resistance (thickness), and buying/selling pressure. By visualizing such dynamics, the script allows the traders to decide on the prevailing market flow, its power, likely continuations, and zones of calmness and chaos, and thereby allows improved decision-making.
This measure avoids the usual difficulty of reconciling multiple, often contradictory, market indications by including them within a single overarching model. It moves beyond traditional binary indicators by providing a multi-dimensional view of market behavior, employing fluid dynamic analogs to describe complex interactions in an accessible manner.
🚀 Points of Innovation
Integrated Fluid Dynamics Model: Combines velocity, viscosity, pressure, and turbulence into a single indicator.
Normalized Metrics: Uses ATR and other normalization techniques for consistent readings across different assets and timeframes.
Dynamic Flow Visualization: Main flow line changes color and intensity based on direction and strength.
Turbulence Background: Visually represents market stability with a gradient background, from calm to turbulent.
Comprehensive Dashboard: Provides an at-a-glance summary of key fluid dynamic metrics.
Multi-Layer Smoothing: Employs several layers of EMA smoothing for a clearer, more responsive main flow line.
🔧 Core Components
Velocity Component: Measures price momentum (first derivative of price), normalized by ATR. It indicates the speed and direction of price changes.
Viscosity Component: Represents market resistance to price changes, derived from ATR relative to its historical average. Higher viscosity suggests it’s harder for prices to move.
Pressure Component: Quantifies the force created by volume and price range (close - open), normalized by ATR. It reflects buying or selling pressure.
Turbulence Detection: Calculates a Reynolds number equivalent to identify market stability, ranging from laminar (stable) to turbulent (chaotic).
Main Flow Indicator: Combines the above components, applying sensitivity and smoothing, to generate a primary signal of market direction and strength.
🔥 Key Features
Advanced Smoothing Algorithm: Utilizes multiple EMA layers on the raw flow calculation for a fluid and responsive main flow line, reducing noise while maintaining sensitivity.
Gradient Flow Coloring: The main flow line dynamically changes color from light to deep blue for bullish flow and light to deep red for bearish flow, with intensity reflecting flow strength. This provides an immediate visual cue of market sentiment and momentum.
Turbulence Level Background: The chart background changes color based on calculated turbulence (from calm gray to vibrant orange), offering an intuitive understanding of market stability and potential for erratic price action.
Informative Dashboard: A customizable on-screen table displays critical metrics like Flow State, Flow Strength, Market Viscosity, Turbulence, Pressure Force, Flow Acceleration, and Flow Continuity, allowing traders to quickly assess current market conditions.
Configurable Lookback and Sensitivity: Users can adjust the base lookback period for calculations and the sensitivity of the flow to viscosity, tailoring the indicator to different trading styles and market conditions.
Alert Conditions: Pre-defined alerts for flow direction changes (positive/negative crossover of zero line) and detection of high turbulence states.
🎨 Visualization
Main Flow Line: A smoothed line plotted below the main chart, colored blue for bullish flow and red for bearish flow. The intensity of the color (light to dark) indicates the strength of the flow. This line crossing the zero line can signal a change in market direction.
Zero Line: A dotted horizontal line at the zero level, serving as a baseline to gauge whether the market flow is positive (bullish) or negative (bearish).
Turbulence Background: The indicator pane’s background color changes based on the calculated turbulence level. A calm, almost transparent gray indicates low turbulence (laminar flow), while a more vibrant, semi-transparent orange signifies high turbulence. This helps traders visually assess market stability.
Dashboard Table: An optional table displayed on the chart, showing key metrics like ‘Flow State’, ‘Flow Strength’, ‘Market Viscosity’, ‘Turbulence’, ‘Pressure Force’, ‘Flow Acceleration’, and ‘Flow Continuity’ with their current values and qualitative descriptions (e.g., ‘Bullish Flow’, ‘Laminar (Stable)’).
📖 Usage Guidelines
Setting Categories
Show Dashboard - Default: true; Range: true/false; Description: Toggles the visibility of the Market Fluid Dynamics dashboard on the chart. Enable to see key metrics at a glance.
Base Lookback Period - Default: 14; Range: 5 - (no upper limit, practical limits apply); Description: Sets the primary lookback period for core calculations like velocity, ATR, and volume SMA. Shorter periods make the indicator more sensitive to recent price action, while longer periods provide a smoother, slower signal.
Flow Sensitivity - Default: 0.5; Range: 0.1 - 1.0 (step 0.1); Description: Adjusts how much the market viscosity dampens the raw flow. A lower value means viscosity has less impact (flow is more sensitive to raw velocity/pressure), while a higher value means viscosity has a greater dampening effect.
Flow Smoothing - Default: 5; Range: 1 - 20; Description: Controls the length of the EMA smoothing applied to the main flow line. Higher values result in a smoother flow line but with more lag; lower values make it more responsive but potentially noisier.
Dashboard Position - Default: ‘Top Right’; Range: ‘Top Right’, ‘Top Left’, ‘Bottom Right’, ‘Bottom Left’, ‘Middle Right’, ‘Middle Left’; Description: Determines the placement of the dashboard on the chart.
Header Size - Default: ‘Normal’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’, ‘Huge’; Description: Sets the text size for the dashboard header.
Values Size - Default: ‘Small’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’; Description: Sets the text size for the metric values in the dashboard.
✅ Best Use Cases
Trend Identification: Identifying the dominant market flow (bullish or bearish) and its strength to trade in the direction of the prevailing trend.
Momentum Confirmation: Using the flow strength and acceleration to confirm the conviction behind price movements.
Volatility Assessment: Utilizing the turbulence metric to gauge market stability, helping to adjust position sizing or avoid choppy conditions.
Reversal Spotting: Watching for divergences between price and flow, or crossovers of the main flow line above/below the zero line, as potential reversal signals, especially when combined with changes in pressure or viscosity.
Swing Trading: Leveraging the smoothed flow line to capture medium-term market swings, entering when flow aligns with the desired trade direction and exiting when flow weakens or reverses.
Intraday Scalping: Using shorter lookback periods and higher sensitivity to identify quick shifts in flow and turbulence for short-term trading opportunities, particularly in liquid markets.
⚠️ Limitations
Lagging Nature: Like many indicators based on moving averages and lookback periods, the main flow line can lag behind rapid price changes, potentially leading to delayed signals.
Whipsaws in Ranging Markets: During periods of low volatility or sideways price action (high viscosity, low flow strength), the indicator might produce frequent buy/sell signals (whipsaws) as the flow oscillates around the zero line.
Not a Standalone System: While comprehensive, it should be used in conjunction with other forms of analysis (e.g., price action, support/resistance levels, other indicators) and not as a sole basis for trading decisions.
Subjectivity in Interpretation: While the dashboard provides quantitative values, the interpretation of “strong” flow, “high” turbulence, or “significant” acceleration can still have a subjective element depending on the trader’s strategy and risk tolerance.
💡 What Makes This Unique
Fluid Dynamics Analogy: Its core strength lies in translating complex market interactions into an intuitive fluid dynamics framework, making concepts like momentum, resistance, and pressure easier to visualize and understand.
Market View: Instead of focusing on a single aspect (like just momentum or just volatility), it integrates multiple factors (velocity, viscosity, pressure, turbulence) to provide a more comprehensive picture of market conditions.
Adaptive Visualization: The dynamic coloring of the flow line and the turbulence background provide immediate, adaptive visual feedback that changes with market conditions.
🔬 How It Works
Price Velocity Calculation: The indicator first calculates price velocity by measuring the rate of change of the closing price over a given ‘lookback’ period. The raw velocity is then normalized by the Average True Range (ATR) of the same lookback period. Normalization enables comparison of momentum between assets or timeframes by scaling for volatility. This is the direction and speed of initial price movement.
Viscosity Calculation: Market ‘viscosity’ or resistance to price movement is determined by looking at the current ATR relative to its longer-term average (SMA of ATR over lookback * 2). The further the current ATR is above its average, the lower the viscosity (less resistance to price movement), and vice-versa. The script inverts this relationship and bounds it so that rising viscosity means more resistance.
Pressure Force Measurement: A ‘pressure’ variable is calculated as a function of the ratio of current volume to its simple moving average, multiplied by the price range (close - open) and normalized by ATR. This is designed to measure the force behind price movement created by volume and intraday price thrusts. This pressure is smoothed by an EMA.
Turbulence State Evaluation: A equivalent ‘Reynolds number’ is calculated by dividing the absolute normalized velocity by the viscosity. This is the proclivity of the market to move in a chaotic or orderly fashion. This ‘reynoldsValue’ is smoothed with an EMA to get the ‘turbulenceState’, which indicates if the market is laminar (stable), transitional, or turbulent.
Main Flow Derivation: The ‘rawFlow’ is calculated by taking the normalized velocity, dampening its impact based on the ‘viscosity’ and user-input ‘sensitivity’, and orienting it by the sign of the smoothed ‘pressureSmooth’. The ‘rawFlow’ is then put through multiple layers of exponential moving average (EMA) smoothing (with ‘smoothingLength’ and derived values) to reach the final ‘mainFlow’ line. The extensive smoothing is designed to give a smooth and clear visualization of the overall market direction and magnitude.
Dashboard Metrics Compilation: Additional metrics like flow acceleration (derivative of mainFlow), and flow continuity (correlation between close and volume) are calculated. All primary components (Flow State, Strength, Viscosity, Turbulence, Pressure, Acceleration, Continuity) are then presented in a user-configurable dashboard for ease of monitoring.
💡 Note:
The “Market Fluid Dynamics - Phen” indicator is designed to offer a unique perspective on market behavior by applying principles from fluid dynamics. It’s most effective when used to understand the underlying forces driving price rather than as a direct buy/sell signal generator in isolation. Experiment with the settings, particularly the ‘Base Lookback Period’, ‘Flow Sensitivity’, and ‘Flow Smoothing’, to find what best suits your trading style and the specific asset you are analyzing. Always combine its insights with robust risk management practices.
Ichimoku Cloud Breakout Only LongThis is a very simple trading strategy based exclusively on the Ichimoku Cloud. There are no additional indicators or complex rules involved. The key condition is that we only open long positions when the price is clearly above the cloud — indicating a bullish trend.
For optimal results, the recommended timeframes are 1D (daily) or 1W (weekly) charts. These higher timeframes help filter out market noise and provide more reliable trend signals.
We do not short the market under any circumstances. The focus is purely on riding upward momentum when the price breaks out or stays above the cloud.
This strategy works best when applied to growth stocks with strong upward trends and good fundamentals — such as Google (GOOGL), Tesla (TSLA), Apple (AAPL), or NVIDIA (NVDA).
ATR Rays with Daily and WeeklyDraws rays at 1 daily ATR and 1 weekly ATR above and below the current price
Vertical Line N Bars BehindDraw a line at the close N-bars behind. Useful for seeing the trend of the security since N-bars ago.
RVOL - Relative Volume IntradayIn the context of intraday trading, RVOL stands for Relative Volume. It is a technical indicator that compares the current volume of a stock to its average volume over a specified period. A RVOL above 1 suggests higher than average trading volume, potentially indicating increased interest and volatility.
The precise definition of real time relative volume is current cumulative volume up to the time of day divided by average cumulative volume up to this time of day. It means for example taking the volume from 09:45 to 10:00 and comparing it to what it does from 09:45 to 10:00 every day.
This indicator supports all timeframes from1 minute to 4 hours.
Swing Highs and Lows Detector🔍 Swing Highs and Lows Detector
The Swing Highs and Lows Detector is a powerful tool for traders looking to identify meaningful structural shifts in price action, based on swing point logic and internal trend shifts.
📈 What It Does
This indicator automatically identifies and labels:
HH (Higher High) – Price broke above the previous swing high
LH (Lower High) – Price failed to break the previous high, signaling potential weakness
LL (Lower Low) – Price broke below the previous swing low
HL (Higher Low) – Price maintained a higher support level, indicating strength
The script distinguishes between bullish and bearish internal shifts and tracks the highest/lowest points between those shifts to determine the swing structure.
⚙️ How It Works
You can choose between two shift detection modes:
"Open": Compares closing price to the first open of the opposite streak
"High/Low": Uses the high of bearish or low of bullish candles
Once a shift is confirmed, the indicator scans the bars between shifts to find the most significant swing high or low
When a valid swing is detected, it’s labeled directly on the chart with color-coded markers
🛎️ Built-in Alerts
Set alerts for:
Higher High
Lower High
Lower Low
Higher Low
These alerts help you catch key structural shifts in real time — great for breakout traders, structure-based analysts, and smart money concepts (SMC) strategies.
✅ How to Use
Confirm Trend Strength or Reversals – Use HH/HL to confirm an uptrend, LL/LH to confirm a downtrend
Combine with Liquidity Sweeps or Zones – Ideal for SMC or Wyckoff-style setups
Entry/Exit Triggers – Use swing breaks to time entries or exits near key structural points
ROC FILTERS / 5 ROC / Week with PopIdentifies maximum move over 5 days in the last quarter and maximum move over a months within the last 6 months
