Uptrick: Volatility Weighted CloudIntroduction
The Volatility Weighted Cloud (VWC) is a trend-tracking overlay that combines adaptive volatility-based bands with a multi-source smoothed price cloud to visualize market bias. It provides users with a dynamic structure that adapts to volatility conditions while maintaining a persistent visual record of trend direction. By incorporating configurable smoothing techniques, percentile-ranked volatility, and multi-line cloud construction, the indicator allows traders to interpret price context more effectively without relying on raw price movement alone.
Overview
The script builds a smoothed price basis using the open, and close prices independently, and uses these to construct a layered visual cloud. This cloud serves both as a reference for price structure and a potential area of dynamic support and resistance. Alongside this cloud, adaptive upper and lower bands are plotted using volatility that scales with percentile rank. When price closes above or below these bands, the script interprets that as a breakout and updates the trend bias accordingly.
Candle coloring is persistent and reflects the most recent confirmed signal. Labels can optionally be placed on the chart when the trend bias flips, giving traders additional visual reference points. The indicator is designed to be both flexible and visually compact, supporting different strategies and timeframes through its detailed configuration options.
Originality
This script introduces originality through its combined use of percentile-ranked volatility, adaptive envelope sizing, and multi-source cloud construction. Unlike static-band indicators, the Volatility Weighted Cloud adjusts its band width based on where current volatility ranks within a defined lookback range. This dynamic scaling allows for smoother signal behavior during low-volatility environments and more responsive behavior during high-volatility phases.
Additionally, instead of using a single basis line, the indicator computes two separate smoothed lines for open and close. These are rendered into a shaded visual cloud that reflects price structure more completely than traditional moving average overlays. The use of ALMA and MAD, both less commonly applied in volatility-band overlays, adds further control over smoothing behavior and volatility measurement, enhancing its adaptability across different market types.
Inputs
Group: Core
Basis Length (short-term): The number of bars used for calculating the primary basis line. Affects how quickly the basis responds to price changes.
Basis Type: Option to choose between EMA and ALMA. EMA provides a standard exponential average; ALMA offers a centered, Gaussian-weighted average with reduced lag.
ALMA Offset: Determines the balance point of the ALMA window. Only applies when ALMA is selected.
Sigma: Sets the width of the ALMA smoothing window, influencing how much smoothing is applied.
Basis Smoothing EMA: Adds additional EMA-based smoothing to the computed basis line for noise reduction.
Group: Volatility & Bands
Volatility: Choose between StDev (standard deviation) and MAD (median absolute deviation) for measuring price volatility.
Vol Length (short-term): Length of the window used for calculating volatility.
Vol Smoothing EMA: Smooths the raw volatility value to stabilize band behavior.
Min Multiplier: Minimum multiplier applied to volatility when forming the adaptive bands.
Max Multiplier: Maximum multiplier applied at high volatility percentile.
Volatility Rank Lookback: Number of bars used to calculate the percentile rank of current volatility.
Show Adaptive Bands: Enables or disables the display of upper and lower volatility bands on the chart.
Group: Trend Switch Labels
Show Trend Switch Labels: Toggles the appearance of labels when the trend direction changes.
Label Anchor: Defines whether the labels are anchored to recent highs/lows or to the main basis line.
ATR Length (offset): Length used for calculating ATR, which determines label offset distance.
ATR Offset (multiplier): Multiplies the ATR value to place labels away from price bars for better visibility.
Label Size: Allows selection of label size (tiny to huge) to suit different chart setups.
Features
Adaptive Volatility Bands: The indicator calculates volatility using either standard deviation or MAD. It then applies an EMA smoothing layer and scales the band width dynamically based on the percentile rank of volatility over a user-defined lookback window. This avoids fixed-width bands and allows the indicator to adapt to changing volatility regimes in real time.
Volatility Method Options: Users can switch between two volatility measurement methods:
➤ Standard Deviation (StDev): Captures overall price dispersion, but may be sensitive to spikes.
➤ Median Absolute Deviation (MAD): A more robust measure that reduces the effect of outliers, making the bands less jumpy during erratic price behavior.
Basis Type Options: The core price basis used for cloud and bands can be built from:
➤ Exponential Moving Average (EMA): Fast-reacting and widely used in trend systems.
➤ Arnaud Legoux Moving Average (ALMA): A smoother, more centered alternative that offers greater control through offset and sigma parameters.
Multi-Line Basis Cloud: The cloud is formed by plotting two individually smoothed basis lines from open and close prices. A filled area is created between the open and close basis lines. This cloud serves as a dynamic support or resistance zone, allowing users to identify possible reversal areas. Price moving through or rejecting from the cloud can be interpreted contextually, especially when combined with band-based signals.
Persistent Trend Bias Coloring: The indicator uses the last confirmed breakout (above upper band or below lower band) to determine bias. This bias is reflected in the color of every subsequent candle, offering a persistent visual cue until a new signal is triggered. It helps simplify trend recognition, especially in choppy or sideways markets.
Trend Switch Labels: When enabled, the script places labeled markers at the exact bar where the bias direction switches. Labels are anchored either to recent highs/lows or to the main basis line, and spaced vertically using an ATR-based offset. This allows the trader to quickly locate historical trend transitions.
Alert Conditions: Two built-in alert conditions are available:
➤ Long Signal: Triggered when the close crosses above the upper adaptive band.
➤ Short Signal: Triggered when the close crosses below the lower adaptive band.
These conditions can be used for custom alerts, automation, or external signaling tools.
Display Control and Flexibility: Users can disable the adaptive bands for a cleaner layout while keeping the basis cloud and candle coloring active. The indicator can be tuned for fast or slow response depending on the strategy in use, and is suitable for intraday, swing, or position trading.
Summary
The Volatility Weighted Cloud is a configurable trend-following overlay that uses adaptive volatility bands and a structured cloud system to help visualize market bias. By combining EMA or ALMA smoothing with percentile-ranked volatility and a four-line price structure, it provides a flexible and informative charting layer. Its key strengths lie in the use of dynamic envelopes, visually persistent trend indication, and clearly defined breakout zones that adapt to current volatility conditions.
Disclaimer
This indicator is for informational and educational purposes only. Trading involves risk and may not be suitable for all investors. Past performance does not guarantee future results.
ממוצעים נעים
Best MA Finder: Sharpe/Sortino ScannerThis script, Best MA Finder: Sharpe/Sortino Scanner, is a tool designed to identify the moving average (SMA or EMA) that best acts as a dynamic trend threshold on a chart, based on risk-adjusted historical performance. It scans a wide range of MA lengths (SMA or EMA) and selects the one whose simple price vs MA crossover delivered the strongest results using either the Sharpe ratio or the Sortino ratio. Reading it is intuitive: when price spent time above the selected MA, conditions were on average more favorable in the backtest; below, less favorable. It is a trend and risk gauge, not an overbought or oversold signal.
What it does:
- Runs individual long-only crossover backtests for many MA lengths across short to very long horizons.
- For each length, measures the total number of trades, the annualized Sharpe ratio, and the annualized Sortino ratio.
- Uses the chosen metric value (Sharpe or Sortino) as the score to rank candidates.
- Applies a minimum trade filter to discard statistically weak results.
- Optionally applies a local stability filter to prefer a length that also outperforms its close neighbors by at least a small margin.
- Selects the optimal MA and displays it on the chart with a concise summary table.
How to use it:
- Choose MA type: SMA or EMA.
- Choose the metric: Sharpe or Sortino.
- Set the minimum trade count to filter out weak samples.
- Select the risk-free mode:
Auto: uses a short-term risk-free rate for USD-priced symbols when available.
Manual: you provide a risk-free ticker.
None: no risk-free rate.
- Optionally enable stability controls: neighbor radius and epsilon.
- Toggle the on-chart summary table as needed.
On-chart output:
- The selected optimal MA is plotted.
- The optional table shows MA length, number of trades, chosen metric value annualized, and the annual risk-free rate used.
Key features:
- Risk-adjusted optimization via Sharpe or Sortino for fair, comparable assessment.
- Broad MA scan with SMA and EMA support.
- Optional stability filter to avoid one-off spikes.
- Clear and auditable presentation directly on the chart.
Use cases:
- Traders who want a defensible, data-driven trend threshold without manual trial and error.
- Swing and trend-following workflows across timeframes and asset classes.
- Quick SMA vs EMA comparisons using risk-adjusted results.
Limitations:
- Not a full trading strategy with position sizing, costs, funding, slippage, or stops.
- Long-only, one position at a time.
- Discrete set of MA lengths, not a continuous optimizer.
- Requires sufficient price history and, if used, a reliable risk-free series.
This script is open-source and built from original logic. It does not replicate closed-source scripts or reuse significant external components.
FSVZO | Lyro RSFSVZO | Lyro RS
This script is a technical analysis tool called the FSVZO, or Fourier Smoothed Volume Zone Oscillator. It is designed to analyze market momentum and trend strength by combining price and volume data with advanced smoothing techniques. The goal is to help identify potential trends, overbought/oversold conditions, and divergence signals in a clear visual format.
Understanding the Indicator's Components
The indicator plots a main oscillator line and several supporting elements on a separate pane below the chart.
The Main Oscillator: This is the primary, colored wave. Its movement and color are key to interpretation.
Trend Direction: The color shifts between bullish and bearish tones based on the momentum of the oscillator. This provides a quick visual reference for the prevailing short-term trend.
Key Levels: Horizontal lines mark significant levels such as +60, +85, -60, and -85. Movements above +60 or below -60 can indicate strong momentum, while approaches to the extreme levels (+85/-85) may suggest overbought or oversold conditions.
Divergence Detection: The indicator can plot labels ("ℝ" for Regular, "ℍ" for Hidden) on the oscillator to signal potential divergences. These occur when the indicator's direction differs from the price action on the main chart and can sometimes foreshadow reversals or continuations.
Moving Average (MA): A central moving average line, based on the oscillator, helps to smooth out the data further and can act as a dynamic support or resistance level within the indicator pane.
White Noise Filter (Optional): This feature displays a histogram that represents market noise. It can be toggled on or off. Analyzing the histogram's behavior may provide additional context on the stability or volatility of the current trend.
Dynamic Background: The background of the indicator pane can change color to highlight periods where the momentum is particularly strong, based on the position of the moving average.
Suggested Use and Interpretation
Traders might use this indicator in several ways:
Trend Identification: Observe the color and position of the main oscillator. A predominantly bullish-colored oscillator above the zero line may suggest an upward trend, while a bearish-colored one below zero may suggest a downward trend.
Signal Confirmation: Look for the oscillator to cross key levels (like +/-40 or +/-60) in the direction of a suspected trend as a confirmation signal.
Divergence Analysis: When the price makes a new high or low that is not confirmed by a new high or low on the FSVZO oscillator (a divergence), it can be a warning of potential weakness in the trend. The "ℝ" and "ℍ" labels help to identify these scenarios.
Extreme Readings: Readings near the +85 or -85 levels can indicate that a price move may be overextended, which could precede a pause or reversal.
Customization Options
The indicator includes settings groups that allow you to adjust its behavior and appearance:
FSVZO Settings: Adjust parameters like Length and Sensitivity to make the oscillator more or less responsive to market movements.
Signals & Display: Modify visual aspects such as Smooth Length and Glowing Amount, or toggle features like the dynamic background on and off.
Colors: Choose from several pre-set color palettes to suit your visual preferences.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Delta Volume Signals by Claudio [hapharmonic]Modifications:
Percentages without decimals.
I replaced the 'Current Volume' row with two boxes: "Δ Vol" and its value, which changes color depending on the direction of the bearish/bullish candle.
Signals can change color in the settings.
Box spacing so the table doesn't constantly change size.
To be modified:
The Net Volume sign shouldn't change to negative when the candle is red.
If anyone does this, let me know...
claudio.ventola@hotmail.com
Best regards!
❄️ Lin Kuei Elite SuperTrend ⚔️Lin Kuei Elite SuperTrend - Technical Analysis Indicator
Overview
The Lin Kuei Elite SuperTrend is an advanced trend-following indicator that enhances the traditional SuperTrend algorithm with multiple layers of analysis and sophisticated visual effects. Built on Pine Script v6, it provides traders with dynamic trend identification, signal generation, and comprehensive market intelligence.
Core Algorithm
The indicator calculates SuperTrend using an enhanced ATR (Average True Range) methodology with adaptive smoothing and rank-based multipliers. The core logic determines trend direction by comparing price action to dynamically adjusted upper and lower bands, creating clear trend reversals and continuation signals.
Key Components:
Enhanced ATR calculation with EMA smoothing
Rank-based sensitivity scaling (0.8x to 1.6x multipliers)
Volume and momentum filtering options
Multi-timeframe shadow clone analysis
Assassin Rank System
The indicator features four distinct operational modes that adjust sensitivity and visual complexity:
Shadow Ninja (Conservative): 80% sensitivity with stable, low-noise signals ideal for risk-averse traders seeking high-confidence entries.
Ice Warrior (Balanced): Standard 100% sensitivity providing optimal balance between responsiveness and stability for most trading scenarios.
Frost Master (Aggressive): 130% sensitivity with enhanced trend detection for experienced traders in volatile markets.
Grandmaster Sub-Zero (Ultimate): 160% sensitivity with maximum responsiveness and exclusive visual effects for professional-level analysis.
Visual Features
Frost Aura Effects: Multi-layered glow effects around the main trend line with dynamic transparency based on trend velocity, creating visual depth and trend strength indication.
Shadow Clone Technique: Displays fast and slow SuperTrend variants using different ATR periods (0.7x and 1.5x) to provide confirmation and early warning signals.
Future Sight Projections: Three predictive projection lines showing potential trend continuation based on current velocity and acceleration calculations.
Quantum Particles: Animated particle effects positioned above and below the main trend line, appearing at regular intervals to enhance visual appeal.
Protection Zones: Shaded areas around the main trend line representing dynamic support/resistance zones calculated at 30% of the adjusted ATR.
Signal Generation
The indicator generates two primary signal types:
Trend Change Signals: Triangle markers appear when the trend direction shifts from bullish to bearish or vice versa, with confirmation based on price position relative to the calculated bands.
Rank-Specific Signals: Higher ranks display additional character-based signals (snowflake, fire, ice cube, lightning) with corresponding size scaling based on the selected assassin rank.
Technical Specifications
Input Parameters:
ATR Period: 10 (adjustable 1-50)
Ice Multiplier: 3.0 (adjustable 0.5-10.0)
Crystallization Period: 2 (adjustable 1-10)
Line Thickness: 4 (adjustable 1-8)
Optional Filters:
Volume confirmation with threshold settings
Momentum filtering based on 5-period price changes
Noise reduction capabilities
Intelligence Dashboard
A compact real-time dashboard displays:
Current assassin rank and associated color coding
Trend direction with visual indicators
Power level classification (LOW/MODERATE/HIGH/EXTREME)
Protection zone status
Signal system status
Battle readiness assessment
Alert System
Comprehensive alert functionality includes:
Basic trend change notifications
Rank-specific ultimate technique alerts
Customizable message content for different signal types
Use Cases
The indicator suits multiple trading styles:
Trend Following: Primary trend identification with clear entry/exit points
Swing Trading: Medium-term trend changes with protection zones for position management
Scalping: Fast rank settings for quick trend reversals (use with caution due to increased noise)
Risk Management: Protection zones help determine stop-loss placement and position sizing
Limitations
This indicator is a trend-following tool and may generate false signals in ranging or choppy markets. The multiple visual effects, while aesthetically appealing, may cause information overload for some users. Higher sensitivity ranks increase signal frequency but also false signal probability. The indicator works best in trending market conditions and should be combined with other forms of analysis for optimal results.
The thematic elements (assassin ranks, frost/fire imagery) are purely cosmetic and do not affect the underlying mathematical calculations, which remain based on established technical analysis principles.
Volume Delta Volume Signals by Claudio [hapharmonic]// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © hapharmonic
//@version=6
FV = format.volume
FP = format.percent
indicator('Volume Delta Volume Signals by Claudio ', format = FV, max_bars_back = 4999, max_labels_count = 500)
//------------------------------------------
// Settings |
//------------------------------------------
bool usecandle = input.bool(true, title = 'Volume on Candles',display=display.none)
color C_Up = input.color(#12cef8, title = 'Volume Buy', inline = ' ', group = 'Style')
color C_Down = input.color(#fe3f00, title = 'Volume Sell', inline = ' ', group = 'Style')
// ✅ Nueva entrada para colores de señales
color buySignalColor = input.color(color.new(color.green, 0), "Buy Signal Color", group = "Signals")
color sellSignalColor = input.color(color.new(color.red, 0), "Sell Signal Color", group = "Signals")
string P_ = input.string(position.top_right,"Position",options = ,
group = "Style",display=display.none)
string sL = input.string(size.small , 'Size Label', options = , group = 'Style',display=display.none)
string sT = input.string(size.normal, 'Size Table', options = , group = 'Style',display=display.none)
bool Label = input.bool(false, inline = 'l')
History = input.bool(true, inline = 'l')
// Inputs for EMA lengths and volume confirmation
bool MAV = input.bool(true, title = 'EMA', group = 'EMA')
string volumeOption = input.string('Use Volume Confirmation', title = 'Volume Option', options = , group = 'EMA',display=display.none)
bool useVolumeConfirmation = volumeOption == 'none' ? false : true
int emaFastLength = input(12, title = 'Fast EMA Length', group = 'EMA',display=display.none)
int emaSlowLength = input(26, title = 'Slow EMA Length', group = 'EMA',display=display.none)
int volumeConfirmationLength = input(6, title = 'Volume Confirmation Length', group = 'EMA',display=display.none)
string alert_freq = input.string(alert.freq_once_per_bar_close, title="Alert Frequency",
options= ,group = "EMA",
tooltip="If you choose once_per_bar, you will receive immediate notifications (but this may cause interference or indicator repainting).
However, if you choose once_per_bar_close, it will wait for the candle to confirm the signal before notifying.",display=display.none)
//------------------------------------------
// UDT_identifier |
//------------------------------------------
type OHLCV
float O = open
float H = high
float L = low
float C = close
float V = volume
type VolumeData
float buyVol
float sellVol
float pcBuy
float pcSell
bool isBuyGreater
float higherVol
float lowerVol
color higherCol
color lowerCol
//------------------------------------------
// Calculate volumes and percentages |
//------------------------------------------
calcVolumes(OHLCV ohlcv) =>
var VolumeData data = VolumeData.new()
data.buyVol := ohlcv.V * (ohlcv.C - ohlcv.L) / (ohlcv.H - ohlcv.L)
data.sellVol := ohlcv.V - data.buyVol
data.pcBuy := data.buyVol / ohlcv.V * 100
data.pcSell := 100 - data.pcBuy
data.isBuyGreater := data.buyVol > data.sellVol
data.higherVol := data.isBuyGreater ? data.buyVol : data.sellVol
data.lowerVol := data.isBuyGreater ? data.sellVol : data.buyVol
data.higherCol := data.isBuyGreater ? C_Up : C_Down
data.lowerCol := data.isBuyGreater ? C_Down : C_Up
data
//------------------------------------------
// Get volume data |
//------------------------------------------
ohlcv = OHLCV.new()
volData = calcVolumes(ohlcv)
// Plot volumes and create labels
plot(ohlcv.V, color=color.new(volData.higherCol, 90), style=plot.style_columns, title='Total',display = display.all - display.status_line)
plot(ohlcv.V, color=volData.higherCol, style=plot.style_stepline_diamond, title='Total2', linewidth = 2,display = display.pane)
plot(volData.higherVol, color=volData.higherCol, style=plot.style_columns, title='Higher Volume', display = display.all - display.status_line)
plot(volData.lowerVol , color=volData.lowerCol , style=plot.style_columns, title='Lower Volume',display = display.all - display.status_line)
S(D,F)=>str.tostring(D,F)
volStr = S(math.sign(ta.change(ohlcv.C)) * ohlcv.V, FV)
buyVolStr = S(volData.buyVol , FV )
sellVolStr = S(volData.sellVol , FV )
// ✅ MODIFICACIÓN: Porcentaje sin decimales
buyPercentStr = str.tostring(math.round(volData.pcBuy)) + " %"
sellPercentStr = str.tostring(math.round(volData.pcSell)) + " %"
totalbuyPercentC_ = volData.buyVol / (volData.buyVol + volData.sellVol) * 100
sup = not na(ohlcv.V)
if sup
TC = text.align_center
CW = color.white
var table tb = table.new(P_, 6, 6, bgcolor = na, frame_width = 2, frame_color = chart.fg_color, border_width = 1, border_color = CW)
tb.cell(0, 0, text = 'Volume Candles', text_color = #FFBF00, bgcolor = #0E2841, text_halign = TC, text_valign = TC, text_size = sT)
tb.merge_cells(0, 0, 5, 0)
tb.cell(0, 1, text = 'Current Volume', text_color = CW, bgcolor = #0B3040, text_halign = TC, text_valign = TC, text_size = sT)
tb.merge_cells(0, 1, 1, 1)
tb.cell(0, 2, text = 'Buy', text_color = #000000, bgcolor = #92D050, text_halign = TC, text_valign = TC, text_size = sT)
tb.cell(1, 2, text = 'Sell', text_color = #000000, bgcolor = #FF0000, text_halign = TC, text_valign = TC, text_size = sT)
tb.cell(0, 3, text = buyVolStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT)
tb.cell(1, 3, text = sellVolStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT)
tb.cell(0, 5, text = 'Net: ' + volStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT)
tb.merge_cells(0, 5, 1, 5)
tb.cell(0, 4, text = buyPercentStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT)
tb.cell(1, 4, text = sellPercentStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT)
cellCount = 20
filledCells = 0
for r = 5 to 1 by 1
for c = 2 to 5 by 1
if filledCells < cellCount * (totalbuyPercentC_ / 100)
tb.cell(c, r, text = '', bgcolor = C_Up)
else
tb.cell(c, r, text = '', bgcolor = C_Down)
filledCells := filledCells + 1
filledCells
if Label
sp = ' '
l = label.new(bar_index, ohlcv.V,
text=str.format('Net: {0} Buy: {1} ({2}) Sell: {3} ({4}) {5}/\ {5}l {5}l',
volStr, buyVolStr, buyPercentStr, sellVolStr, sellPercentStr, sp),
style=label.style_none, textcolor=volData.higherCol, size=sL, textalign=text.align_left)
if not History
(l ).delete()
//------------------------------------------
// Draw volume levels on the candlesticks |
//------------------------------------------
float base = na,float value = na
bool uc = usecandle and sup
if volData.isBuyGreater
base := math.min(ohlcv.O, ohlcv.C)
value := base + math.abs(ohlcv.O - ohlcv.C) * (volData.pcBuy / 100)
else
base := math.max(ohlcv.O, ohlcv.C)
value := base - math.abs(ohlcv.O - ohlcv.C) * (volData.pcSell / 100)
barcolor(sup ? color.new(na, na) : ohlcv.C < ohlcv.O ? color.red : color.green,display = usecandle? display.all:display.none)
UseC = uc ? volData.higherCol:color.new(na, na)
plotcandle(uc?base:na, uc?base:na, uc?value:na, uc?value:na,
title='Body', color=UseC, bordercolor=na, wickcolor=UseC,
display = usecandle ? display.all - display.status_line : display.none, force_overlay=true,editable=false)
plotcandle(uc?ohlcv.O:na, uc?ohlcv.H:na, uc?ohlcv.L:na, uc?ohlcv.C:na,
title='Fill', color=color.new(UseC,80), bordercolor=UseC, wickcolor=UseC,
display = usecandle ? display.all - display.status_line : display.none, force_overlay=true,editable=false)
//------------------------------------------------------------
// Plot the EMA and filter out the noise with volume control. |
//------------------------------------------------------------
float emaFast = ta.ema(ohlcv.C, emaFastLength)
float emaSlow = ta.ema(ohlcv.C, emaSlowLength)
bool signal = emaFast > emaSlow
color c_signal = signal ? C_Up : C_Down
float volumeMA = ta.sma(ohlcv.V, volumeConfirmationLength)
bool crossover = ta.crossover(emaFast, emaSlow)
bool crossunder = ta.crossunder(emaFast, emaSlow)
isVolumeConfirmed(source, length, ma) =>
math.sum(source > ma ? source : 0, length) >= math.sum(source < ma ? source : 0, length)
bool ISV = isVolumeConfirmed(ohlcv.V, volumeConfirmationLength, volumeMA)
bool crossoverConfirmed = crossover and (not useVolumeConfirmation or ISV)
bool crossunderConfirmed = crossunder and (not useVolumeConfirmation or ISV)
PF = MAV ? emaFast : na
PS = MAV ? emaSlow : na
p1 = plot(PF, color = c_signal, editable = false, force_overlay = true, display = display.pane)
plot(PF, color = color.new(c_signal, 80), linewidth = 10, editable = false, force_overlay = true, display = display.pane)
plot(PF, color = color.new(c_signal, 90), linewidth = 20, editable = false, force_overlay = true, display = display.pane)
plot(PF, color = color.new(c_signal, 95), linewidth = 30, editable = false, force_overlay = true, display = display.pane)
plot(PF, color = color.new(c_signal, 98), linewidth = 45, editable = false, force_overlay = true, display = display.pane)
p2 = plot(PS, color = c_signal, editable = false, force_overlay = true, display = display.pane)
plot(PS, color = color.new(c_signal, 80), linewidth = 10, editable = false, force_overlay = true, display = display.pane)
plot(PS, color = color.new(c_signal, 90), linewidth = 20, editable = false, force_overlay = true, display = display.pane)
plot(PS, color = color.new(c_signal, 95), linewidth = 30, editable = false, force_overlay = true, display = display.pane)
plot(PS, color = color.new(c_signal, 98), linewidth = 45, editable = false, force_overlay = true, display = display.pane)
fill(p1, p2, top_value=crossover ? emaFast : emaSlow,
bottom_value =crossover ? emaSlow : emaFast,
top_color =color.new(c_signal, 80),
bottom_color =color.new(c_signal, 95)
)
// ✅ Usar colores configurables para señales
plotshape(crossoverConfirmed and MAV, style=shape.triangleup , location=location.belowbar, color=buySignalColor , size=size.small, force_overlay=true,display =display.pane)
plotshape(crossunderConfirmed and MAV, style=shape.triangledown, location=location.abovebar, color=sellSignalColor, size=size.small, force_overlay=true,display =display.pane)
string msg = '--------- '+"Buy volume ="+buyVolStr+" Buy Percent = "+buyPercentStr+" Sell volume = "+sellVolStr+" Sell Percent = "+sellPercentStr+" Net = "+volStr+' ---------'
if crossoverConfirmed
alert("Price (" + str.tostring(close) + ") Crossed over MA " + msg, alert_freq)
if crossunderConfirmed
alert("Price (" + str.tostring(close) + ") Crossed under MA " + msg, alert_freq)
PSAR+EMA+Hull+BBDescription
This all-in-one indicator combines four proven tools:
Parabolic SAR (Everget) — trend direction and potential reversals.
Exponential Moving Averages (20/50/100/200) — customizable lengths, colors, and offsets.
Hull Suite (InSilico) — smooth trend detection with multiple variations (HMA, THMA, EHMA).
Bollinger Bands — volatility and dynamic support/resistance.
Features
Toggle each module on/off in settings.
Fully configurable inputs (lengths, colors, offsets, multipliers).
Optional PSAR labels, highlights, and state fill.
Hull can color candles, draw band fills, and pull from higher timeframes.
Bollinger Bands include multiple basis types, stdev multipliers, and fill transparency.
Built-in alerts: PSAR direction change, Hull trending up/down.
Category
Trend Analysis (with Volatility as secondary).
Alpha - Multi-Asset Adaptive Trading Strategy# Alpha - Multi-Asset Adaptive Trading Strategy
Overview
Alpha is a comprehensive trading strategy that combines multiple technical analysis components with pre-optimized settings for over 70 different trading instruments across cryptocurrencies, forex, and stocks. The strategy employs an adaptive approach using modified trend detection algorithms, dynamic support/resistance zones, and multi-timeframe confirmation.
Key Features & Originality
1. Adaptive Trend Detection System
- Modified trend-following algorithm with amplitude-based channel deviation
- Dynamic channel width adjustment based on ATR (Average True Range)
- Dual-layer trend confirmation using both price action and momentum indicators
2. Pre-Configured Asset Optimization
The strategy includes carefully backtested parameter sets for:
- **Cryptocurrencies**: BTC, ETH, and 40+ altcoin pairs
- **Forex Pairs**: Major and minor currency pairs
- **Stocks**: TSLA, AAPL, GOOG
- **Commodities**: Gold, Silver, Platinum
- Each configuration is optimized for specific timeframes (5m, 15m, 30m, 45m, 1h)
3. Advanced Risk Management
- Multiple take profit levels (4 targets with customizable position sizing)
- Dynamic stop-loss options (ATR-based or percentage-based)
- Position size allocation across profit targets (default: 30%, 30%, 30%, 10%)
4. Multi-Timeframe Analysis Dashboard
- Real-time analysis across 4 configurable timeframes
- Comprehensive performance metrics display
- Visual representation of current market conditions
5. Market Condition Filtering
- RSI-based trend strength filtering
- ATR-based volatility filtering
- Sideways market detection to avoid choppy conditions
- Customizable filter combinations (ATR only, RSI only, both, or disabled)
How to Use
Initial Setup
1. **Select Asset Configuration**: Choose your trading pair from the "Strategies" dropdown menu
2. **Enable Strategy**: Enter "Alpha" in the code confirmation field
3. **Adjust Timeframe**: Match your chart timeframe to the selected strategy configuration
Parameter Customization
- **Trendline Settings**: Adjust amplitude and channel deviation for sensitivity
- **TP/SL Method**: Choose between ATR-based or percentage-based targets
- **Filtering Options**: Select appropriate market filters for your trading style
- **Backtest Period**: Set the number of days for strategy testing (max 60)
Signal Interpretation
- **BUY/SELL Labels**: Primary entry signals based on trend changes
- **Support/Resistance Zones**: Visual zones showing key price levels
- **Dashboard**: Real-time display of position status, targets, and performance metrics
Important Considerations
Limitations and Warnings
- **Backtesting Period**: Results shown are based on historical data from the specified backtest period
- **No Guarantee**: Past performance does not guarantee future results
- **Market Conditions**: Strategy performance varies with market volatility and trending conditions
- **Repainting**: Some signals may repaint if "Wait For Confirmed Bar" is disabled
Risk Warnings
- The pre-configured settings are starting points and may require adjustment for current market conditions
- Always use appropriate position sizing and risk management
- Test thoroughly on demo accounts before live trading
- Monitor and adjust parameters regularly as market dynamics change
Technical Components
Core Indicators Used
- Modified trend detection with amplitude-based channels
- RSI (Relative Strength Index) for momentum confirmation
- ATR (Average True Range) for volatility measurement
- Support/Resistance detection using pivot points
- Bollinger Band variant for trend confirmation
Alert Functionality
The strategy includes comprehensive alert options for:
- Entry signals (long and short)
- Take profit levels (TP1, TP2, TP3, TP4)
- Stop loss triggers
- Integration with trading bots via webhook messages
Recommended Usage
Best Practices
1. Start with the pre-configured settings for your chosen asset
2. Run backtests over different time periods to verify performance
3. Use the dashboard to monitor real-time strategy performance
4. Adjust filters based on current market conditions
5. Always use stop losses and proper risk management
Timeframe Recommendations
- **Short-Term**: Use 5m, 15m configurations for scalping
- **Mid-Term**: Use 30m, 45m configurations for day trading
- **Long-Term**: Use 1h configurations for swing trading
Updates and Support
The strategy parameters are regularly reviewed and optimized. Users should periodically check for updates to ensure they have the latest configurations.
Disclaimer
This strategy is for educational and informational purposes only. Trading involves substantial risk of loss. Users should conduct their own research and consider their financial situation before trading. The author is not responsible for any trading losses incurred using this strategy.
Cloud Trend — MA Crossover Cloud with AlertsThe Cloud Trend indicator highlights market momentum using two customizable moving averages.
Trend Cloud: Fills the zone between a fast and slow MA, turning green in uptrends and orange in downtrends.
Cross Signals: Arrows and alerts trigger when the fast MA crosses above or below the slow MA.
Bar Coloring: Optionally paints candles by trend direction for quick chart reading.
Customizable: Choose from SMA, EMA, RMA, WMA, or VWMA with adjustable lengths and cloud opacity.
✅ Ideal for spotting trend shifts, trade entries, and riding strong moves with confidence.
Ultra Simple ReversalThis is a simple script that combines Key Features:
✅ No plotting - Only text labels and candle color changes
✅ Reversal candle detection - Changes candle color on high-probability signals
✅ BUY/SELL text labels - Clear directional signals
✅ Four-module confluence - SSL + Squeeze + MTF Pivots + ORB Breakout
✅ Non-repainting - Reliable signals using proper security calls
✅ Pine Script v6 compatible - All syntax errors fixed
FX MAN PRO//@version=5
indicator(title="FCB Signals with SMA, Momentum & Stochastic", shorttitle="FCB+AllFilters+Stoch", overlay=true)
// ---------- Inputs ----------
Pattern = input.int(1, "Pattern Length", minval=1)
showSignals = input.bool(true, "Show Buy/Sell Signals")
signalOffset = input.int(0, "Signal Offset", minval=-5, maxval=5)
smaFastLength = input.int(7, "SMA Fast")
smaSlowLength = input.int(21, "SMA Slow")
momentumLength = input.int(10, "Momentum Length")
// ---------- Stochastic Inputs ----------
stochKLength = input.int(14, "Stoch K Length")
stochDLength = input.int(3, "Stoch D Length")
stochSmooth = input.int(3, "Stoch Smooth")
stochOverbought = input.int(80, "Overbought Level")
stochOversold = input.int(20, "Oversold Level")
// ---------- Fractal Functions ----------
fractalUp(pattern) =>
p = high
okl = 1
okr = 1
res = 0.0
for i = pattern to 1
okl := high < high and okl == 1 ? 1 : 0
for i = pattern + 2 to pattern * 2 + 1
okr := high < high and okr == 1 ? 1 : 0
res := okl == 1 and okr == 1 ? p : res
res
fractalDn(pattern) =>
p = low
okl = 1
okr = 1
res = 0.0
for i = pattern to 1
okl := low > low and okl == 1 ? 1 : 0
for i = pattern + 2 to pattern * 2 + 1
okr := low > low and okr == 1 ? 1 : 0
res := okl == 1 and okr == 1 ? p : res
res
// ---------- Compute ----------
xUpper = fractalUp(Pattern)
xLower = fractalDn(Pattern)
// ---------- Hide FCB ----------
plot(xUpper, color=na, title="FCB Up")
plot(xLower, color=na, title="FCB Down")
// ---------- Candle Analysis ----------
body = math.abs(close - open)
shadowTop = high - math.max(open, close)
shadowBot = math.min(open, close) - low
strongBody = body > (shadowTop + shadowBot)
isGreen = close > open
isRed = close < open
// ---------- SMA ----------
smaFast = ta.sma(close, smaFastLength)
smaSlow = ta.sma(close, smaSlowLength)
// ---------- Momentum ----------
momentumValue = ta.mom(close, momentumLength)
// ---------- Stochastic ----------
kLine = ta.sma(ta.stoch(close, high, low, stochKLength), stochSmooth)
dLine = ta.sma(kLine, stochDLength)
// ---------- Stochastic Direction ----------
kUp = kLine > kLine
dUp = dLine > dLine
kDown = kLine < kLine
dDown = dLine < dLine
// ---------- Check Stochastic Neutral ----------
inNeutral = (kLine < stochOverbought and kLine > stochOversold) and (dLine < stochOverbought and dLine > stochOversold)
// ---------- First Candle Signal Logic ----------
var bool buyActive = false
var bool sellActive = false
buyCond = close > xUpper and strongBody and isGreen and smaFast > smaSlow and momentumValue > momentumValue and kUp and dUp and inNeutral
sellCond = close < xLower and strongBody and isRed and smaFast < smaSlow and momentumValue < momentumValue and kDown and dDown and inNeutral
buySignal = buyCond and not buyActive
sellSignal = sellCond and not sellActive
buyActive := buyCond ? true : not buyCond ? false : buyActive
sellActive := sellCond ? true : not sellCond ? false : sellActive
// ---------- Plot Signals with golden text ----------
plotshape(showSignals and buySignal,
title="Buy Signal",
style=shape.triangleup,
location=location.belowbar,
color=color.green,
size=size.tiny,
text="BUY",
textcolor=color.new(color.yellow, 0), // طلایی
offset=signalOffset)
plotshape(showSignals and sellSignal,
title="Sell Signal",
style=shape.triangledown,
location=location.abovebar,
color=color.red,
size=size.tiny,
text="SELL",
textcolor=color.new(color.yellow, 0), // طلایی
offset=signalOffset)
Flat Day PredictorAdvanced technical indicator that predicts low-volatility "flat" trading days using multi-factor analysis. Designed for day traders and scalpers who need to identify when markets are likely to trade sideways.
Key Features:
Real-time flat day probability calculation (0-100%)
8-factor scoring system combining volatility, volume, and momentum indicators
Visual table displaying all indicator values and overall signal strength
Color-coded alerts for high-probability flat day signals
Works on all timeframes, optimized for intraday trading
Indicators Analyzed:
VIX volatility levels
Bollinger Band width compression
RSI momentum neutrality
ATR trend declining
Volume below average
Daily range percentage
Price action patterns
Market regime detection
Signal Levels:
75%+ = VERY HIGH flat probability (Red alert)
62-74% = HIGH flat probability (Orange)
50-61% = MODERATE flat probability (Yellow)
Below 50% = Trending day likely (Green)
Usage:
Add to any chart and monitor the probability percentage. Higher scores indicate increased likelihood of sideways price action. Use for position sizing, strategy selection, and risk management during low-volatility periods.
Bollinger Bands with 4 Moving AveragesCombines Bollinger Bands (BB) with up to four optional Moving Averages (MA) to read volatility, trend direction, and dynamic support–resistance in one overlay.
How It Works
BB: basis = MA(length, type) with standard deviation mult. upper = basis + dev, lower = basis − dev.
MA1–MA4: additional averages you can toggle (default only MA4/200 enabled).
Key Features
Flexible basis MA type for BB: SMA / EMA / RMA (Wilder) / WMA / VWMA.
Four optional MAs with independent length, color, and width (defaults: 7, 25, 99, 200; only 200 on by default).
Offset to shift BB for visual testing.
Overlay on price with shaded band between Upper–Lower.
Inputs & Defaults
BB Length = 20, StdDev = 2.0, Source = close.
Basis MA Type = SMA.
MA4 active (200), MA1–MA3 off (7/25/99 ready).
Offset = 0.
Practical Use
Use BB for volatility context: squeeze → potential breakout; expansion → strong trend.
Treat Basis / Upper / Lower as dynamic levels:
Pullbacks to Basis often become decision zones in trends.
Upper/Lower touches = relative extremes.
Add MA4(200) for primary bias; enable MA1–MA3 for finer timing.
Typical behavior:
Price > MA200 and rising basis → bullish bias; watch pullbacks to basis/MA25-like zones.
Price < MA200 and falling basis → bearish bias; watch rejections at basis/MAs.
Common Signals (not financial advice)
Breakout + BB expansion confirms momentum.
Squeeze + basis break can preface volatility expansion.
Confluence: Lower touch + fast MA in uptrends → mean-reversion setups; inverse for downtrends.
Notes
MA1–MA4 are SMA in the code; BB basis follows the selected MA type.
Test across timeframes; tune length and mult to the asset.
Disclaimer
Visual tool only. Combine with risk management, multi-timeframe confirmation, and a tested plan.
EMA & BarCountNothing. EMA & Bar Count
Nothing. EMA & Bar Count
Nothing. EMA & Bar Count
Nothing. EMA & Bar Count
Nothing. EMA & Bar Count
Thanks .
EMA/SMA Market Indicator V1 (Situational Awareness Uptrend)Red condition (highest priority in code)
Background = red if any of these are true:
Close < 10MA
OR Close < 20MA
OR (10MA and 20MA slopes ≤ threshold → “flat/down”)
Green condition (only if not red)
Background = green if:
(Close > 10MA or Close > 20MA)
AND Close > 50MA
Otherwise = nothing (transparent)
If neither red nor green is true → background is off.
So when is there no background?
Close is not below 10MA
Close is not below 20MA
MAs are not both flat/down
AND the price fails the “green test” (ex. under 50MA, or not above 10/20).
顺序三连穿越：2/3先入 + 3/3加仓（仅低波动过滤）策略描述（中文）
本策略基于 顺序三连穿越 原则：当 MA5 依次上穿 MA10、MA30、MA60 时，触发趋势做多信号；反之依次下穿时触发做空信号。
在完成 2/3 穿越时即可先行入场，完成 3/3 穿越时可选择加仓确认。
为减少震荡磨损，策略引入了布林带带宽过滤：当市场波动率过低时禁止入场。同时设有 冷静期，避免刚出场后立即反复进场。
该系统适用于趋势性较强或弱趋势行情，能够较好地捕捉单边走势，但在长时间震荡行情中仍可能遭遇利润侵蚀。
Strategy Description (English)
This strategy is built on the Sequential Triple Crossover principle:
When the 5-period moving average (MA5) sequentially crosses above MA10, MA30, and MA60, a bullish entry is triggered.
Conversely, when MA5 sequentially crosses below MA10, MA30, and MA60, a bearish entry is triggered.
An early entry is allowed once 2 out of 3 crossovers are completed, while the final crossover (3/3) can optionally serve as a confirmation add-on position.
To mitigate losses in choppy conditions, the system uses a Bollinger Bandwidth filter that blocks entries when volatility is too low. A cooldown period is also implemented to avoid immediate re-entries after closing a trade.
This setup performs well in trending or weak-trend environments, capturing directional moves effectively, but may still suffer from profit erosion during prolonged sideways markets.
TW All in OneIts a overlap strategy, giving signals for buy and sell.
Mostly suitable for Bank Nifty. Nifty and crude oil
EMA Regime (9/20/50/100/200) — Stacked with 200 FilterEMA Regime (9/20/50/100/200) — Stacked Long/Short Box
Plots the 9, 20, 50, 100, and 200 EMAs on the chart.
Checks if price is above or below each EMA and whether the EMAs are stacked in order.
LONG signal: price above all selected EMAs and EMAs stacked 9 > 20 > 50 > 100 >(> 200 if strict mode on).
SHORT signal: price below all selected EMAs and EMAs stacked 9 < 20 < 50 < 100 (< 200 if strict mode on).
Shows a two-row table (LONGS / SHORTS) so you can quickly see which EMAs are aligned.
Optionally colors candles green/red when a full long/short regime is active.
Can show labels when a new LONG or SHORT condition appears.
Has alerts you can use for automated notifications when the regime flips.
“Use 200 EMA in the stack” lets you choose ultra-strict mode (9>20>50>100>200) or lighter mode (9>20>50>100 but price & 9 above 200).
RSI: alternative derivationMost traders accept the Relative Strength Index (RSI) as a standard tool for measuring momentum. But what if RSI is actually a position indicator?
This script introduces an alternative derivation of RSI, offering a fresh perspective on its true nature. Instead of relying on the traditional calculation of average gains and losses, this approach directly considers the price's position relative to its equilibrium (moving average), adjusted for volatility.
While the final value remains identical to the standard RSI, this alternative derivation offers a completely new understanding of the indicator.
Key components:
Price (Close)
Utilizes the closing price, consistent with the original RSI formula.
normalization factor
Transforms raw calculations into a fixed range between -1 and +1.
normalization_factor = 1 / (Length - 1)
EMA of Price
Applies Wilder’s Exponential Moving Average (EMA) to the price, serving as the anchor point for measuring price position, similar to the traditional RSI formula.
myEMA = ta.rma(close,Length)
EMA of close-to-close absolute changes (unit of volatility)
Adjusts for market differences by applying a Wilder’s EMA to absolute price changes (volatility), ensuring consistency across various assets.
CC_vol = ta.rma(math.abs(close - close ),Length)
Calculation Breakdown
DISTANCE:
Calculate the difference between the closing price and its Wilder's EMA. A positive value indicates the price is above the EMA; a negative value indicates it is below.
distance = close - myEMA
STANDARDIZED DISTANCE
Divide the distance by the unit of volatility to standardize the measurement across different markets.
S_distance = distance / CC_vol
NORMALIZED DISTANCE
Normalize the standardized distance using the normalization factor (n-1) to adjust for the lookback period.
N_distance = S_distance * normalization_factor
RSI
Finally, scale the normalized distance to fit within the standard RSI range of 0 to 100.
myRSI = 50 * (1 + N_distance)
The final equation:
RSI = 50 ×
What This Means for RSI
Same RSI Values, Different Interpretation
The standard RSI formula may obscure its true measurement, whereas this approach offers clarity.
RSI primarily indicates the price's position relative to its equilibrium, rather than directly measuring momentum.
RSI can still be used to analyze momentum, but in a more intuitive and well-informed way.
Guided Advisor with DXY ContextThis indicator will constantly will be looking for DXY direction in the background.
Capitulation DayThe idea is that when US indexes are >10% below their 50,100,200sma it is a capitulation day.
MajorTop DeltaVol ma5-52wThe idea is to identify major tops on the weekly when both are above 0 at the same time; to look just for mkt tops.
Major tops use to drag on for a little with increasing volatility before crashing.
green is 5-52sma
fuchsia 3-9sma
Sma are on the candle's range ratio on the close.
