ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions
Overview
ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength.
Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions.
The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves.
Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength.
Conceptual Framework
ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines.
Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes.
Three guiding principles define the framework:
Volatility must be conditioned on trend strength
Extremes occur within zones, not at lines
Signals should emerge from completed wave transitions, not instantaneous touches
This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation.
Theoretical Foundation
The indicator fuses directional movement theory with statistical volatility modeling.
Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium.
From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases.
At its core are three interacting systems:
ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves.
Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions.
State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium.
This structure ensures that signals reflect completed volatility waves, not transient noise.
How It Works
ADX Volatility Waves processes price action through layered wave mechanics:
Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength.
Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions.
Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves.
Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave.
Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals.
Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form.
Together, these processes create a continuous, adaptive wave map of volatility behavior.
Interpretation
ADX Volatility Waves reframes market reading around volatility cycles:
Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility.
Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion.
Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals.
Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion.
Wave progression and completion matter more than single-bar interactions.
Signal Logic & Visual Cues
ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period.
Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger.
Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress.
All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods.
Strategy Integration
ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks:
Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries.
Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion.
Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions.
Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves.
Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior.
Technical Implementation Details
Core Engine : ADX-normalized volatility expansion
Wave System : Smoothed, offset, expanded volatility waves
Visualization : Multi-layer gradient wave zones
Signal Logic : State-based wave transitions with cooldown enforcement
Alerts : Wave entry, wave completion, volatility compression
Performance Profile : Lightweight, real-time optimized overlay
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Short-term volatility waves and intraday transitions
15 - 60 min : Structured intraday wave cycles
4H - Daily : Macro volatility regimes and expansion phases
Suggested Baseline Configuration:
BB Length : 20
BB StdDev : 1.5
ADX Length : 14
ADX Influence : 0.8
Wave Offset : 1.0
Wave Width : 1.0
Neutral Confirmation : 5 bars
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Markets exhibiting rhythmic volatility expansion and contraction
Assets with responsive ADX regime behavior
Reduced Effectiveness:
Erratic, news-driven price action
Illiquid markets with distorted volatility metrics
Integration Guidelines
Confluence : Combine with BOSWaves structure or trend tools
Discipline : Respect wave completion and cooldown logic
Risk Framing : Interpret wave depth probabilistically, not predictively
Regime Awareness : Always contextualize waves within ADX strength
Disclaimer
ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context.
Bantlar ve Kanallar
ZERO-LAG Tabrizi Scalping ToolKit This indicator will allow you to scalp on the 1M and 5M chart with zero lag. We will show you trend reversals and also when to buy and sell
Scalping Signals with MTF Fibo BandsThis indicator is a scalping / intraday signal system built on Multi-Timeframe (MTF) Fibonacci Bands, combined with an RSI midline filter and an optional direction-lock mechanism to reduce consecutive losing entries.
🔹 What does this indicator do?
It plots two independent Fibonacci Band sets (A & B), each calculated from a higher timeframe SMA + ATR.
Entry zones are defined between Band 2 and Band 3, representing statistically extreme price areas.
You can choose to generate signals from:
Band A only
Band B only
BOTH (A + B confirmation)
📈 Entry Logic
LONG
Price closes inside the Lower Zone (between Fib2 Lower & Fib3 Lower)
RSI is above the midline (default 50)
SHORT
Price closes inside the Upper Zone (between Fib2 Upper & Fib3 Upper)
RSI is below the midline (default 50)
🟧 Direction Lock System
If enabled, the indicator locks the trade direction when a position hits Stop Loss before reaching TP1.
This prevents repeated entries in the same direction during unfavorable conditions.
🔓 Unlock Logic
The lock can be removed when:
RSI crosses back over the midline (RSI > 50 for LONG, RSI < 50 for SHORT)
AND price closes again inside the valid Band 2–3 zone
With the optional setting enabled, a new entry can occur on the same candle
🛑 Stop Loss Logic (Important)
This indicator uses price-action-based stop logic, not fixed pip stops.
1️⃣ Before TP1
LONG: Two consecutive candle closes below Fib3 Lower
SHORT: Two consecutive candle closes above Fib3 Upper
⚠️ Because SL depends on candle closes, you must monitor lower timeframes (1m or below) to react quickly and avoid delayed exits.
2️⃣ After TP1 (Break-Even Protection)
Once TP1 is touched:
SL automatically shifts to Break-Even (entry price)
Any return to entry will close the position
⚠️ Usage Warning
This indicator is NOT designed for sharp, explosive, or news-driven moves
Avoid using it during:
High-impact news
Extremely fast impulsive candles
Sudden volatility spikes
Best performance is achieved in structured price action environments, not chaotic market conditions.
Volume MAs Oscillator | Lyro RS// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © LyroRS
//@version=6
indicator("Volume MAs Oscillator | Lyro RS")
import LyroRS/LMAs/1 as DynamicMAs
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// LyroRS v1.0
// Groups
ma_g = "𝗠𝗢𝗩𝗜𝗡𝗚 𝗔𝗩𝗘𝗥𝗔𝗚𝗘"
bands_g = "𝗕𝗔𝗡𝗗"
display_g = '𝗗𝗜𝗦𝗣𝗟𝗔𝗬'
// Inputs
// -- Moving Average
source = input.source(close, "Source", group= ma_g, tooltip= "Select where the data originates (open, high, low, close, etc..).")
ma_type = input.string("EMA", "Select Moving Average", options= , group=ma_g, tooltip="Choose a moving average type to apply to the price multiplied by volume. VWMA already incorporates volume directly.")
ma_length = input.int(30, "Moving Average Length", group= ma_g, tooltip= "Defines the length or period of the selected moving average.")
// -- Bands
band_length = input.int(27, "Band Length", group=bands_g, tooltip="Number of bars used to calculate standard deviation.")
band_smoothing = input.float(0.8, "Band Smoothing", group=bands_g, minval=0, tooltip="Smooths the band edges to reduce noise.")
pbm = input.float(1.8, "Positive Band Multiplier", group=bands_g, minval=0, tooltip="Multiplier for the upper band distance.")
nbm = input.float(-0.85, "Negative Band Multiplier", group=bands_g, maxval=0, tooltip="Multiplier for the lower band distance.")
// Color Inputs
signal_type = input.string("Trend", "Select Signal Type", options= , group=display_g, tooltip="Select which way to use the indicator.")
ColMode = input.string("Mystic", "Custom Color Palette", inline="drop", options= , display=display.none, group= display_g, tooltip="Select a predefined color scheme for the indicator display. (Major Themes color mode automatically switches colors based on the major asset you picked for valuation analysis.)")
cpyn = input.bool (true, "Use Custom Palette", group= display_g, display=display.none, tooltip="Enables custom color selection for signals.")
cp_UpC = input.color (#00ff00, "Custom Up", inline = "Custom Palette", group= display_g, display=display.none, tooltip="")
cp_DnC = input.color (#ff0000, "Custom Down", inline = "Custom Palette", group= display_g, display=display.none, tooltip="User specifed bullish and bearish colors.")
d_obos_sigs = input.bool (true, "Display Oversold/Overbought Signs", group= display_g, display=display.none, tooltip="Enables triangle signs to be displayed.")
d_signs = input.bool (true, "Display Signs", group= display_g, display=display.none, tooltip="Enables signs for Trend mode.")
d_bgcol = input.bool (true, "Display Background Color", group= display_g, display=display.none, tooltip="Enables background color for Reversion & Valuation mode.")
// Colors
color UpC = na
color DnC = na
// -- Predefined Colors
switch ColMode
"Classic" =>
UpC := #00E676
DnC := #880E4F
"Mystic" =>
UpC := #30FDCF
DnC := #E117B7
"Accented" =>
UpC := #9618F7
DnC := #FF0078
"Royal" =>
UpC := #FFC107
DnC := #673AB7
// -- Custom Colors
if cpyn
UpC := cp_UpC
DnC := cp_DnC
// Coloring Function for Valuation
coloring(src) =>
color.from_gradient(src, ta.lowest(src, band_length), ta.highest(src, band_length), UpC, DnC)
// Moving Average Switch
float ma = na
switch ma_type
"SMA" => ma := DynamicMAs.SMA(source * volume, ma_length) / DynamicMAs.SMA(volume, ma_length)
"EMA" => ma := DynamicMAs.EMA(source * volume, ma_length) / DynamicMAs.EMA(volume, ma_length)
"WMA" => ma := DynamicMAs.WMA(source * volume, ma_length) / DynamicMAs.WMA(volume, ma_length)
"VWMA" => ma := DynamicMAs.VWMA(source, volume, ma_length) // Already Volume Based MA
"DEMA" => ma := DynamicMAs.DEMA(source * volume, ma_length) / DynamicMAs.DEMA(volume, ma_length)
"TEMA" => ma := DynamicMAs.TEMA(source * volume, ma_length) / DynamicMAs.TEMA(volume, ma_length)
"RMA" => ma := DynamicMAs.RMA(source * volume, ma_length) / DynamicMAs.RMA(volume, ma_length)
"HMA" => ma := DynamicMAs.HMA(source * volume, ma_length) / DynamicMAs.HMA(volume, ma_length)
"LSMA" => ma := DynamicMAs.LSMA(source * volume, ma_length, 0) / DynamicMAs.LSMA(volume, ma_length, 0)
"SMMA" => ma := DynamicMAs.SMMA(source * volume, ma_length) / DynamicMAs.SMMA(volume, ma_length)
"ALMA" => ma := DynamicMAs.ALMA(source * volume, ma_length, 0, 20) / DynamicMAs.ALMA(volume, ma_length, 0, 20)
"ZLSMA" => ma := DynamicMAs.ZLSMA(source * volume, ma_length) / DynamicMAs.ZLSMA(volume, ma_length)
"FRAMA" => ma := DynamicMAs.FRAMA(source * volume, ma_length) / DynamicMAs.FRAMA(volume, ma_length)
"KAMA" => ma := DynamicMAs.KAMA(source * volume, ma_length) / DynamicMAs.KAMA(volume, ma_length)
"JMA" => ma := DynamicMAs.JMA(source * volume, ma_length, 0) / DynamicMAs.JMA(volume, ma_length, 0)
"T3" => ma := DynamicMAs.T3(source * volume, ma_length, 0.5) / DynamicMAs.T3(volume, ma_length, 0.5)
price_diff = ((source - ma) / ma) * 100 // Percentage Difference between Source and the Moving Average of the source
// Calculations for the Bands
std = ta.stdev(price_diff, band_length)
upperBandRaw = std * pbm
lowerBandRaw = std * nbm
var float upperBand = na
var float lowerBand = na
// Smooth
upperBand := upperBandRaw * band_smoothing + nz(upperBand ) * (1 - band_smoothing)
lowerBand := lowerBandRaw * band_smoothing + nz(lowerBand ) * (1 - band_smoothing)
// Plot Color
var color pc = na
var color uB_color = na
var color lB_color = na
var int signal = 0
if signal_type == "Trend"
uB_color := UpC
lB_color := DnC
if price_diff > upperBand
pc := UpC
signal := 1
if price_diff < lowerBand
pc := DnC
signal := -1
if signal_type == "Reversion"
uB_color := DnC
lB_color := UpC
if price_diff > upperBand
pc := DnC
signal := -1
else if price_diff < lowerBand
pc := UpC
signal := 1
else
pc := color.gray
signal := 0
if signal_type == "Valuation"
uB_color := UpC
lB_color := DnC
pc := coloring(price_diff)
// Plot
plot(price_diff, color= pc, linewidth = 2, title= "Volume MAs Oscillator")
plot(upperBand, color= color.new(uB_color, 50), title= "Upper Band")
plot(lowerBand, color= color.new(lB_color, 50), title= "Lower Band")
plot(0, color= color.new(pc, 60), linewidth = 2, display= display.pane, title= "Mid Line")
plot(0, color= color.new(pc, 75), linewidth = 5, display= display.pane, title= "Mid Line Glow 1")
plot(0, color= color.new(pc, 85), linewidth = 10, display= display.pane, title= "Mid Line Glow 2")
plotchar(upperBand + 0.5, char='▼', color= ta.crossunder(price_diff, upperBand) ? DnC : na, location=location.absolute, title= "Overbought Signal", display= d_obos_sigs ? display.pane : display.none, size= size.tiny)
plotchar(lowerBand - 0.5, char='▲', color= ta.crossover(price_diff, lowerBand) ? UpC : na, location=location.absolute, title= "Oversold Signal", display= d_obos_sigs ? display.pane : display.none, size= size.tiny)
reversion_enable = signal_type == "Reversion"
valuation_enable = signal_type == "Valuation"
bgcolor(d_bgcol and ((valuation_enable and price_diff > upperBand) or (reversion_enable and ta.crossunder(price_diff, upperBand))) ? color.new(DnC, 85) : na, title= "BG Color OB")
bgcolor(d_bgcol and ((valuation_enable and price_diff > upperBand) or (reversion_enable and ta.crossunder(price_diff, upperBand))) ? color.new(DnC, 85) : na, title= "BG Color OB Overlay", force_overlay = true)
bgcolor(d_bgcol and ((valuation_enable and price_diff < lowerBand) or (reversion_enable and ta.crossover(price_diff, lowerBand))) ? color.new(UpC, 85) : na, title= "BG Color OS")
bgcolor(d_bgcol and ((valuation_enable and price_diff < lowerBand) or (reversion_enable and ta.crossover(price_diff, lowerBand))) ? color.new(UpC, 85) : na, title= "BG Color OS Overlay", force_overlay = true)
plotshape(ta.crossover(signal, 0), title="Buy Signal", location=location.belowbar,
style=shape.labelup, text="𝓛𝓸𝓷𝓰", textcolor=#000000, size=size.small,
color=UpC, force_overlay=true, display= signal_type == "Trend" and d_signs == true ? display.pane : display.none)
plotshape(ta.crossunder(signal, 0), title="Sell Signal", location=location.abovebar,
style=shape.labeldown, text="𝓢𝓱𝓸𝓻𝓽", textcolor=#000000, size=size.small,
color=DnC, force_overlay=true, display= signal_type == "Trend" and d_signs == true ? display.pane : display.none)
plotcandle(open, high, low, close, color= pc, wickcolor = pc, bordercolor = pc, force_overlay = true, display= display.pane, title= "Plot Candle")
barcolor(pc, title= "Barcolor")
// ==========================================================================================
// === Dashboard with Telegram Link ===
var table myTable = table.new(position.top_center, 1, 1, border_width=1, frame_color=color.black, bgcolor=color.white)
// Add Telegram Message to Dashboard
table.cell(myTable, 0, 0, "Join Telegram @mrexpert_ai", bgcolor=color.blue, text_color=color.white, text_size=size.normal)
Pi Strategy Cross Harmonicsstill customizing this one, buy and sell seems to off on alternate time settings.
a work in progress, see if this works for anyone.
thanks again.
ChanLun Structure: K/Fractals/Strokes/Segments/ZhongShuThis script implements the "line and center" concept of CHANLUN.
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Advance SMC (Milad Tayefi)Smart money indicator which recognizes market structure and produces buy/sell signals.
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Premarket High Low 4:00 at 9:30 AMThis indicator is designed for scalping in 2-minute intervals, taking into account that trading should occur after an SMA 13 / SMA 20 / SMA 200 compression.
Daily & Pre-Market Key Levels (v5)Plots:
- Today's high/low
- Pre-market High/Low
- Yesterday's high/low/close
- Day before yesterday high/low
225 SMA CrossoverWell-known strategy from Zahlengraf from the Mauerstrassenwetten subreddit for you to test yourself.
You can change the length of the SMA and whether to trade long, short or both directions.
"Clean Market Structure & Trend Confirmation" TP LADDER(UPDATED)Clean Market Structure & Trend Confirmation — TP Ladder
This indicator is designed to identify high-probability intraday trend trades using market structure, momentum confirmation, and a visual ribbon system, with automatic take-profit and stop-loss levels plotted after confirmed signals.
WHAT THIS INDICATOR IS FOR
This script is built for active intraday traders trading SPY, QQQ, It focuses on trend continuation and directional momentum rather than scalping chop. It works best during regular market hours with extended hours enabled.
HOW TO LOAD (IMPORTANT)
Add the script to your chart
Set chart timeframe to 5-minute
Turn Extended Trading Hours ON
Use during the NY session (especially open and trend periods)
THE RIBBON (MOST IMPORTANT RULE)
The ribbon defines the trend.
• Blue/Teal ribbon = bullish trend
• Red ribbon = bearish trend
• Gray ribbon = compression / no trade zone
Only trade in the direction of the ribbon.
No ribbon alignment = no trade.
BULL & BEAR DOTS
“BULL” dot appears when structure flips bullish.
“BEAR” dot appears when structure flips bearish.
These confirm trend direction, not entries by themselves.
BUY & SELL ARROWS (ENTRIES)
• BUY arrow prints only when bullish ribbon, structure, momentum, and filters align
• SELL arrow prints only when bearish ribbon, structure, momentum, and filters align
• Arrows are non-repainting when using close-confirmed mode
No arrow = no trade.
CONTINUATION (C) LOGIC
The script allows limited continuation entries after pullbacks when structure realigns.
By default, only one continuation per direction per day is allowed to prevent overtrading and signal spam.
TAKE-PROFIT (TP) LADDER
When a BUY or SELL arrow confirms, the script automatically plots:
• TP1 = partial profit
• TP2 = extended target
• TP3 = final extension
• STOP = ATR-based stop loss
All levels are calculated using ATR and adjust automatically to volatility.
The ladder only appears after a confirmed signal.
HOW TO TRADE IT (SIMPLE FLOW)
Identify ribbon direction
Wait for BUY or SELL arrow
Enter on confirmation
Scale out at TP1, TP2, TP3
Respect the STOP line
If structure breaks or ribbon flips, exit.
WHAT TO AVOID
• Do not trade against the ribbon
• Do not trade in gray ribbon conditions
• Do not chase candles without arrows
• Do not expect constant signals (quality over quantity)
COIN-Clean Market Structure & Trend Confirmation TP(Updated)COIN-Clean Market Structure & Trend Confirmation TP(Updated) — COIN (Simple Trend + Buy/Sell Confirmation + Take-Profit Targets)
This indicator is designed to help you trade COIN by clearly showing trend direction, confirmation signals, and predefined take-profit levels. It removes guesswork and helps you stay on the right side of the move.
HOW TO LOAD
Add the indicator to a COIN chart. Turn on Extended Hours for best results. The default settings are already optimized and do not need to be changed.
THE RIBBON (WHAT TO TRADE)
The ribbon shows the overall trend.
Teal ribbon = price is trending up (look for BUY setups).
Red ribbon = price is trending down (look for SELL setups).
Gray ribbon = no clear trend (do not trade).
If the ribbon is gray, the indicator will block signals to protect you from choppy markets.
BULL AND BEAR DOTS (TREND CHANGE ALERTS)
Bull dot appears when the trend turns bullish.
Bear dot appears when the trend turns bearish.
These dots are early warnings, not entries. Always wait for a BUY or SELL arrow before taking a trade.
BUY AND SELL ARROWS (WHEN TO ENTER)
BUY arrows appear only when conditions strongly favor upward movement.
SELL arrows appear only when conditions strongly favor downward movement.
These arrows are confirmation signals. Enter only after the arrow appears.
Not every move will get a signal. Fewer, higher-quality signals are intentional.
OPENING BIAS (FIRST MINUTES PROTECTION)
Right after the market opens, the indicator sets a directional bias.
During this time, it will only allow trades in the safer direction.
This helps avoid getting chopped up during the opening volatility.
TAKE-PROFIT TARGETS AND STOP
When a BUY or SELL arrow appears, take-profit levels automatically show on the chart:
TP1, TP2, and TP3 are profit targets.
STOP is where the trade is considered wrong.
You can scale out at each target or exit fully at any level.
Only the most recent targets are shown to keep the chart clean.
SIMPLE WAY TO USE IT
Check the ribbon color (teal or red).
Ignore the chart if the ribbon is gray.
Wait for a BUY or SELL arrow.
Use the take-profit targets and stop provided.
Do not chase moves without arrows.
IMPORTANT NOTES
This indicator does not repaint confirmed signals.
It is meant to keep trading simple and disciplined.
It works best during strong trend days, not sideways markets.
FX Session High/Low Bands - Last 5 EST Days
FX Session High/Low Bands - Last 5 Days
Description:
This indicator plots horizontal bands representing the high and low price levels from the major forex trading sessions over the last 5 days. It helps traders identify key support and resistance zones based on recent session activity.
Features:
Multiple Session Tracking: Displays high/low levels for major FX sessions:
Asian Session (Tokyo)
European Session (London)
US Session (New York)
5-Day Lookback: Captures the highest high and lowest low from each session over the previous 5 trading days
Visual Bands: Clear horizontal lines or filled zones showing session boundaries
Dynamic Updates: Automatically recalculates as new session data becomes available
How to Use:
Support/Resistance: Previous session highs/lows often act as key price levels
Breakout Trading: Watch for price breaking above/below session bands
Range Trading: Trade within the bands during consolidation periods
Session Overlap: Pay attention to multiple session bands converging
Ideal For:
Forex day traders
Session-based trading strategies
Support/resistance identification
Multi-timeframe analysis
GS Volume Truth Serum (With Alerts)this tells you when institutions are behind a move and its not a bull trap
Tamil - Dynamic Top/Bottom Range with EMATamil – Dynamic Top/Bottom Range with EMA is an all-in-one trend + targets indicator designed for intraday and swing trading. It combines a clean EMA crossover entry signal, automatic take-profit levels, dynamic support/resistance range lines, and a multi-timeframe dashboard to quickly confirm trend strength across multiple timeframes.
What it shows on the chart
• 5 EMAs (14 / 21 / 55 / 100 / 200) with fully customizable colors to visualize short-term vs long-term trend.
• BUY / SELL signals based on EMA14 crossing EMA21:
• Buy Signal: EMA14 crosses above EMA21
• Sell Signal: EMA14 crosses below EMA21
• Auto Take-Profit levels (TP1 / TP2 / TP3) for every new signal:
• TPs are calculated by percentage move from the signal candle close
• Separate TP percentages for Buy and Sell
• Plots dashed TP lines and prints labels with exact price levels
• Includes alerts for Buy/Sell + each TP hit
• Dynamic Range Lines
• Plots rolling Resistance (highest high) and Support (lowest low) using a configurable lookback
Multi-Timeframe Dashboard (Table)
A compact table shows key confirmation signals across:
1m, 5m, 15m, 1H, 4H, 1D, 1W
• RSI value
• Stochastic value
• Supertrend direction (Buy/Sell/Neutral)
• SMA trend bias (Buy/Sell/Neutral)
with heat-map style coloring for faster reading.
Alerts Included
• Buy Signal / Sell Signal
• TP1 / TP2 / TP3 reached (Buy & Sell)
Note: This is an indicator (not a strategy/backtest). Use proper risk management and confirm signals with your own trade plan.
Tamil - BOS/CHOCH Demand & SupplyTamil – BOS/CHOCH Demand & Supply is a Smart Money Concepts (SMC) indicator that automatically detects Break of Structure (BOS) and Change of Character (CHOCH) events and draws clean Demand (bullish) and Supply (bearish) zones directly on the chart.
It supports multiple pivot lookback periods at the same time (ex: 1,2,3,5,11,15,20) to map structure from micro to higher swings, and it keeps zones updated as price interacts with them.
What it does
• Creates Demand zones (green) when price confirms a bullish break above a prior swing high (BOS/CHOCH).
• Creates Supply zones (red) when price confirms a bearish break below a prior swing low (BOS/CHOCH).
• Labels each zone as “BOS Demand/Supply” or “CHOCH Demand/Supply” and includes the lookback period used to form it.
Zone lifecycle (auto-managed)
• Active zone: drawn and extended forward until invalidated.
• Mitigation: when price revisits the zone (first touch), the zone turns gray to mark it as mitigated.
• Break / invalidation: if price fully breaks the zone (below demand bottom / above supply top), the zone is deleted.
Optional “Inducement / Liquidity Grab” filter (IDM)
If enabled, zones are only drawn when the swing that created the break also swept liquidity from the previous swing (a common SMC “inducement” condition), helping focus on higher-probability zones.
Alerts included
• New confirmed Demand zone
• New confirmed Supply zone
• Zone Mitigated
• Zone Broken
Notes
This is an indicator for structure + zone mapping (not a backtest strategy). Use proper risk management and confirm zones with your own execution rules.
Structure Lite - Automatic Major Trend LinesStructure Lite — Automatic Major Trend Lines
Structure Lite automatically detects and plots major market structure using higher-timeframe pivot highs and lows.
It is designed to provide a clean, lightweight view of primary support and resistance without manual drawing or chart clutter.
This script focuses only on major structure and intentionally excludes short-term noise, advanced liquidity concepts, or signal logic.
Features
Automatically plots major resistance (red) and major support (green) trend lines
Uses higher-period pivots to reflect macro / swing structure
Lines extend right for forward projection
Keeps only the most recent major levels to reduce clutter
Optional toggle to hide all trend lines for a clean chart view
How to Use
Add the indicator to your chart
Adjust Major Pivot Period to control how swing-based the structure is
Higher values = fewer, more important levels
Lower values = more responsive structure
Use the plotted lines to:
Identify higher-timeframe support and resistance
Contextualize price action and trend bias
Toggle Hide All Trend Lines to quickly remove structure without removing the indicator
This tool is intended for context and structure awareness, not trade signals.
Design Philosophy
Structure Lite is intentionally minimal:
No alerts
No buy/sell signals
No predictions
No performance claims
It is built as a foundational structure tool that can be combined with the user’s own methodology.
Notes
Some inputs reference advanced features available in a separate professional version
These options are disabled here and included only for interface consistency
No external links, promotions, or monetization are included in this script
Disclaimer
Educational and informational purposes only.
This script does not provide financial advice or trade recommendations.
Past market behavior does not guarantee future results.
© 2025 GammaBulldog
Custom 4 SMAsCustom 4 SMAs – Fully Customizable Moving Averages
This indicator allows you to plot up to four independent Simple Moving Averages (SMAs) on your chart, with complete control over each one.
Features:
• Individually enable or disable each SMA
• Set custom length for each SMA
• Choose any color
• Adjust line width (1–4)
• Select line style: Solid, Dashed, or Dotted
Perfect for:
- Multi-timeframe trend analysis
- Golden/death cross setups
- Support & resistance visualization
- Clean chart overlays without clutter
Default lengths are set to popular values (20, 50, 100, 200), but you can easily adjust them to fit your strategy (e.g., 9/21/55/200 or any other combination).
Lightweight, clean, and highly customizable — ideal for traders who want multiple SMAs without adding separate indicators for each.
rj's temu perp pair tradeOverview
rj’s temu perp pair trade is a simple, robust pairs-trading strategy designed for crypto perpetual futures, implemented directly on ratio charts (A / B) in TradingView.
The strategy trades mean reversion in relative price using Bollinger Bands, while keeping sizing, execution logic, and diagnostics intentionally simple and transparent.
This script is designed primarily for signal research and pair selection, not for fully accurate two-leg PnL simulation inside TradingView.
Strategy Concept
The strategy operates on a ratio chart:
Asset A / Asset B
The ratio represents relative performance between two assets.
Core idea
When the ratio deviates significantly from its recent mean, it tends to revert. (if you pick stuff that has very similar drivers and little insider trading flows.
Bollinger Bands provide a simple, robust way to define “too far”.
Entry Logic
Using Bollinger Bands on the ratio price:
Long ratio
Ratio crosses below the lower band
Interpreted as A cheap vs B
Short ratio
Ratio crosses above the upper band
Interpreted as A expensive vs B
Entries are generated on bar close, with fills occurring on the next bar open (TradingView’s internal behavior).
Exit Logic
Positions are closed when any of the following occurs:
Ratio crosses back through the Bollinger midline
Position held longer than maxBarsInTrade (optional)
Fixed % stop based on ratio price (optional)
Each exit is explicitly labeled on the chart:
C → mean reversion
TS → time stop
SL → stop loss
Position sizing and margin
Positions are sized as a percentage of Strategy Tester equity
Default: 10% of equity per trade
This ensures consistent risk within TradingView, even on ratio charts
Mating requirements are set to 1% for long/short to disable margin rejections for research purposes.
What TradingView PnL means (important)
When trading ratio charts, TradingView treats the ratio as a single synthetic instrument.
PnL is reported in the denominator (quote) unit e.g. on UNI / SUSHI, PnL is in SUSHI
Strategy Tester does not simulate two legs
Absolute PnL, Sharpe, and drawdowns are not USDT-accurate
This script intentionally does not attempt to convert PnL into USDT inside TradingView.
Instead:
TradingView is used for signal behavior, regime analysis, and pair comparison
Accurate two-leg USDT PnL should be computed externally
Summary Table
The on-chart summary table reports Strategy Tester-aligned metrics only:
Total PnL (%)
Number of closed trades
Win rate
Average PnL per trade
Sharpe ratio (annualized, based on Strategy Tester equity)
PnL units (syminfo.currency)
These metrics are internally consistent but should be treated as indicative, not execution-accurate.
Recommended workflow
Inside TradingView
Use this script to:
Explore pair behavior
Validate mean-reversion dynamics
Study regime dependence
Compare relative signal quality across pairs
Outside TradingView
Use exported trade data to:
Aggregate daily PnL
Normalize by initial capital
Apply portfolio weights
Vol-target and analyze drawdowns
Add funding, fees, and execution logic
Limitations
This script does not:
Simulate two-leg execution
Account for funding rates
Model fees or slippage per leg
Provide USDT-accurate PnL
It is not a trading system. It is a clean, robust research and signal-generation tool.






















