Volatility of Volatility (Quant Lab)• VOV (white line)
• Around 0 → Volatility fluctuates normally
• Upward spike → Volatility changes very rapidly
• Often occurs during periods of breakouts, collapses, liquidations, and sharp trends
• When it stays low downwards → Volatility is stable, the market is moving at its “usual pace” • Regime histogram (columns)
• +1 (reddish) → Volatility Expanding
• Risk is increasing, “storm mode”
• Trend burst, flash move, news, liquidation effect
• 0 (orange) → Neutral
• Volatility behavior is normal
• -1 (turquoise) → Volatility Contracting
• Volatility is decreasing, movements are becoming smaller
• This may be a period before a big move after a squeeze
Keep this in mind:
• Volatility Regime → “What is the volatility level?”
• Volatility of Volatility → “How much is that volatility changing?”
When VoV spikes:
“Not only is market movement increasing, but the structure of the movement is also deteriorating; risk mode has been activated.”
This is crucial for identifying crash/pump periods.
Băng tần và kênh
Volatility Regime (Quant Lab)The Volatility Regime Indicator measures the current volatility environment of the market by combining two independent volatility metrics:
1. ATR-based volatility (how large price bars are)
2. Return standard deviation (how noisy or unstable returns are)
Both components are normalized (Z-score), averaged, and smoothed to produce a single Volatility Score, which identifies the market’s volatility regime.
The indicator classifies volatility into three distinct regimes:
Low Volatility (score < threshold)
• The market is calm and compressed.
• Price ranges are tight and movement is limited.
• Breakouts typically originate from this regime.
• Mean-reversion strategies perform best here.
Normal Volatility (within thresholds)
• The market is behaving normally.
• Trend-following and swing trades are stable.
• Risk is moderate.
High Volatility (score > threshold)
• The market is aggressive and unstable.
• Large price swings, news shocks, liquidations, manipulation possible.
• Risk and opportunity are both high.
• Leverage should be reduced or avoided.
A background color and regime histogram help visualize regime transitions instantly.
⸻
⭐ What this indicator tells you (Short Summary):
This indicator answers the question:
“Is the market calm, normal, or dangerous right now?”
You should interpret it as:
• Low Volatility → market is quiet, accumulation/squeeze phase, breakout likely soon.
• Normal Volatility → ideal trading conditions; trends behave cleanly.
• High Volatility → chaotic market; big moves coming; manage risk carefully.
The Volatility Regime Indicator helps you choose:
• Which strategy type to use (trend vs mean reversion)
• What stop size is appropriate
• Whether a breakout is real or likely to fail
• When to reduce position size due to risk expansion
It is a core tool used by quantitative traders to understand market conditions before applying any strategy.
Log Returns (Quant Lab)Log Returns Indicator
This indicator calculates the logarithmic return of each bar using the formula:
logReturn = ln(Close / Close )
It then visualizes:
• A log-return histogram (green for positive, red for negative returns)
• A rolling mean of log returns (yellow line)
• ±1 standard deviation bands around the mean (orange lines)
This indicator is used to:
• Measure the true statistical return behavior of the asset
• Detect volatility expansions and contractions
• Identify abnormal return spikes (news, liquidation cascades, manipulation)
• Evaluate market efficiency and momentum strength
• Prepare quantitative features for machine learning models
In simple terms, the Log Returns indicator shows whether the asset’s recent price behavior is normal or statistically unusual.
Standard Deviation Levels with Settlement Price and VolatilityStandard Deviation Levels with Settlement Price and Volatility.
This indicator plots the standard deviation levels based on the settlement price and the implied volatility. It works for all Equity Stocks and Futures.
For Futures
Symbol Volatility Symbol (Implied Volatility)
NQ VXN
ES VIX
YM VXD
RTY RVX
CL OVX
GC GVZ
BTC DVOL
The plot gives you an ideas that the price has what probability staying in the range of 1SD,2SD,3SD ( In normal distribution method)
Please provide the feedback or comments if you find any improvements
In-Range Rolling SL
In-Range Rolling SL Indicator Guide
The In-Range Rolling SL indicator is a dynamic stop-loss system designed for intraday trading that identifies squeeze conditions and trade entry opportunities based on rolling price windows.
Core Concept
The indicator analyzes the highest high and lowest low over a defined lookback period (default: 2 candles) to establish an "in-range" zone. When price stays within this range without breaking either boundary, it creates a squeeze condition—signaling potential breakout opportunities.
Trading Strategy
Wait for the Squeeze Setup
The most effective approach is to wait for the in-range stop-loss squeeze to form. This occurs when both the long SL (green line) and short SL (red line) are active simultaneously, indicated by the yellow status dot (🟡) in the indicator table. Analyze the wick high/close relationship against the in-range SL while price remains compressed—this setup identifies which side is more likely to break first.
Entry Timing and Risk Management
Long Entry: Enter when a candle closes above the in-range short SL (red line) without any wick above it. This "perfect breakout candle" confirms bullish momentum. Your entry should be around the region, with your stop-loss placed just below the top of the breakout candle's high.
Short Entry: Enter when a candle closes below the in-range long SL (green line). The stop-loss for short trades should be set 34.26 points above your entry for appropriate risk protection.
Risk-Reward Considerations
If you enter at the low of a breakout candle, expect only 8.26 points of drawdown potential. However, if you accidentally go long and your stop gets hit, you'll experience the full in-range stop-loss distance as your loss.
Advanced Techniques
Failed Breakout Trap: If a follow-up candle doesn't make a higher high after the initial breakout, consider adding a "winner" for compensation rather than holding for a trap. When your buy-stop sits on top of the breakout candle high, this isn't a valid long trade setup.
Flip Trade Opportunity: In-range stop-loss attempts to flip often provide ideal entry points. If the up candle doesn't break the previous low, this validates the long continuation.
Long Scalp Trading: A failed long scalp can be traded if you missed the initial market open down-up-down trend. With a stop-loss of 34 points and potential profit exceeding 50 points, this provides favorable risk-reward ratios.
Sustained Loss Management: Stop-loss for long positions should target 26 points maximum loss. The indicator automatically invalidates stop-losses when price violates them, keeping your chart clean for the next setup.
-------------------------
In-Range Rolling SL Indicator Guide
The In-Range Rolling SL indicator is a dynamic stop-loss system designed for intraday trading that identifies squeeze conditions and breakout opportunities based on rolling price windows.
How the Indicator Works
The indicator tracks the highest high and lowest low over your selected lookback period (default: 2 candles) to establish dynamic support and resistance levels. These levels create an "in-range" zone that adapts as new price action develops.
Visual Components
Green Line (Long SL): The rolling window's lowest low - your stop-loss level for long positions
Red Line (Short SL): The rolling window's highest high - your stop-loss level for short positions
Status Indicators:
🟡 Yellow: Squeeze condition (both SLs active)
🟢 Green: Long-only setup
🔴 Red: Short-only setup
⚪ White: Neutral (no active SLs)
The Squeeze Setup Strategy
Step 1: Wait for the Squeeze
The most effective way to use the In-Range Rolling SL is to wait for the in-range stop-loss squeeze to form. During the squeeze, both the green and red lines are active, meaning price has stayed within the rolling window without breaking either boundary. This compression phase indicates that it's "go time" to prepare your trade.
While in the squeeze, analyze the wick high/close relationship against the in-range SL levels. This analysis helps you determine which side is more likely to split when the breakout occurs.
Step 2: Identify the Perfect Breakout
Long Breakout: A perfect breakout candle should close above the in-range stop-loss high (red line) without any wick above it. This clean breakout demonstrates strong momentum and reduces the risk of a false breakout.
Short Breakout: Look for a candle that closes below the in-range SL low (green line), indicating a short-side trade is coming up.
Step 3: Entry Execution
Long Entry: Your entry should be around the region of the breakout. Position your stop-loss just below the top of the breakout candle's high. This placement protects you from failed breakouts while giving the trade room to develop.
Short Entry: Enter as the candle closes below the in-range SL low. The stop-loss for short-side trades is typically 34.26 points of potential loss based on the indicator's measurements.
Risk-Reward Analysis
Entry at Breakout Low
If you enter here at the low of the breakout candle, you're looking at only 8.26 points of drawdown potential. This represents your best-case entry scenario.
Accidental Wrong-Side Entry
However, if you accidentally go long here and your stop gets hit, you'll experience the full in-range stop-loss distance as your loss. This emphasizes the importance of waiting for clear breakout confirmation.
Long Scalp Opportunity
A failed long scalp can be traded here if you missed the market open down-up-down trend. With a stop-loss of 34 points and potential profit greater than 50 points, this setup offers a favorable risk-reward ratio of approximately 1:1.5.
Advanced Trade Management
Failed Breakout Recognition
Follow-Up Candle Validation: If a follow-up candle did not make a higher high than the breakout candle, this could be a trap. Your buy-stop on top of the breakout candle high is not a valid long trade setup in this scenario. Consider adding a "winner" for compensation rather than holding through the potential reversal.
Flip Trade Opportunities
In-range stop-loss tries to flip to the other side often provide excellent entries. If the up candle did not break the previous low, this validates the long continuation and suggests the squeeze is resolving to the upside.
Sustained Position Management
Stop-Loss Guidelines: Stop-loss for long positions should be 26 points of maximum loss. The indicator table displays the delta (Δ) showing your real-time distance to the active stop-loss, helping you manage risk dynamically.
Entry Timing: Your entry should be around the region where the breakout confirms, rather than chasing price after a large move. In order to prepare your trade, position your stop-loss on top of the breakout candle's high for long trades.
Practical Example from the Chart
Looking at the MNQ1! chart, you can see multiple squeeze formations throughout the session. The most notable sequence shows:
An initial downtrend creating a squeeze setup
A perfect breakout candle closing above the red line without upper wick
The subsequent candle validating the move
Later, a failed breakout attempt that created a short opportunity
Multiple flip attempts that provided re-entry points for scalpers
The indicator's table in the top-right continuously updates with the current SL levels, gap size, candle size, and delta values - giving you all the information needed to assess each trade's risk-reward profile in real-time.
SWING [DEMAK]SWING
EMA 5, 25, 50, 200, 250
SMA 10
Indicator for finding swing trades and reading direction
STOCKS / CRYPTO / FUTURES
SCOTTGO Advanced MACD🌟 Custom MACD: Enhanced Visuals & Crossover Signals
This indicator is a highly customized version of the traditional Moving Average Convergence Divergence (MACD) oscillator, designed to provide clear, immediate visual confirmation of signal line crossovers and zero-line crossings.
Core Features:
MACD Crossover Shadow Fill: The area between the MACD line and the Signal line is filled with a customizable shadow. This instantly visualizes whether the MACD is above (bullish crossover) or below (bearish crossover) the Signal line.
Signal Crossover Markers (Arrows & Dots):
Crossover Dot: A small, configurable solid dot is plotted exactly at the point where the MACD and Signal lines intersect, providing pinpoint accuracy for the crossover event.
Crossover Arrows: Customizable up (green) and down (red) arrows are plotted using a small numerical offset from the crossover point, ensuring visibility without cluttering the indicator lines.
Zero-Line Crossing Markers: Distinct, small markers (circles/diamonds) are used to signal when the MACD line crosses the zero line, indicating a shift in momentum relative to the baseline.
Customizable MA Type: The user can select either Exponential Moving Average (EMA) or Simple Moving Average (SMA) for both the MACD oscillator calculation and the signal line calculation.
This indicator is ideal for traders who rely on MACD crossovers and require precise, configurable visual feedback directly on the chart.
1HR Pivots & Pre-Market Levels1HR Pivots & Pre-Market Levels Indicator
Overview
This indicator is designed for intraday traders who want to identify key price levels that often act as support and resistance throughout the trading day. It combines multiple timeframe analysis into a single, clean overlay on your chart.
Key Features
1-Hour Pivot Levels
The indicator automatically detects significant swing highs and lows from the 1-hour timeframe and displays them as horizontal levels on your chart, regardless of what timeframe you're viewing. These pivots are calculated using closing prices (line chart style) rather than wicks, which provides cleaner, more reliable levels. You can display up to 20 pivot levels and customize how sensitive the detection is.
Pre-Market High & Low
Before the regular session opens, price action in the pre-market often establishes important boundaries for the day. This indicator tracks and displays the pre-market high (green) and low (red) from 4:00 AM to 9:30 AM Eastern Time. These levels are derived from 1 min prices including wicks.
First 15-Minute Range
The opening 15 minutes of the regular session (9:30-9:45 AM ET) frequently sets the tone for the rest of the day. The indicator marks the high (blue) and low (orange) of this critical period, including wicks, giving you clear reference points for potential breakout or reversal trades.
Session VWAP
Volume Weighted Average Price is included as a white line that resets daily. VWAP represents the average price weighted by volume and is widely used by institutional traders. Price trading above VWAP suggests bullish sentiment, while price below suggests bearish sentiment.
Why It's Useful
Multi-timeframe context on any chart - View 1-hour levels while trading on a 1-minute or 5-minute chart
Key session-based levels - Pre-market range and opening range are proven reference points for day traders
Clean visualization - All levels draw from their origin point so you can see exactly where each level was established
Fully customizable - Adjust colors, line thickness, and number of levels to match your preferences
Information table - Quick reference panel showing exact prices for all key levels
Best Used For
Identifying potential support and resistance zones
Planning entries and exits around key levels
Gauging whether price is extended or at value (using VWAP)
Understanding the day's structure at a glance
ICT 3 Models - Entry Signals 1.2This script combines 3 powerful ICT (Smart Money Concepts) Entry Models into one comprehensive strategy setup. It is designed to identify high-probability setups based on Higher Timeframe POIs and includes a fully functional Strategy Tester engine.
🔥 The 3 Entry Models:
Model 1 (MSS + FVG): Classic reversal setup using HTF Order Blocks, Liquidity Sweep, Market Structure Shift (MSS), and entry at FVG.
Model 2 (SMT / Sweep): Catches "Turtle Soup" or Failure Swing setups where price grabs liquidity and quickly reverses using FVG confirmation.
Model 3 (AMD / Box): Accumulation, Manipulation, Distribution setup. Identifies consolidation boxes and trades the manipulation leg.
✨ Highlights:
Full Backtesting Engine: Test the strategy with customizable Initial Capital and Order Sizing.
Auto HTF POI: Automatically plots Higher Timeframe Order Blocks on your chart.
Flexible Risk Management: Set SL/TP via Fixed Points or ATR Multiplier.
Alerts Included: Ready for automation.
Disclaimer: This tool is for educational purposes only. Trading involves risk.
Liquidity Sweep + FVG Entry Model//@version=5
indicator("Liquidity Sweep + FVG Entry Model", overlay = true, max_labels_count = 500, max_lines_count = 500)
// Just to confirm indicator is loaded, always plot close:
plot(close, color = color.new(color.white, 0))
// ─────────────────────────────────────────────
// PARAMETERS
// ─────────────────────────────────────────────
len = input.int(5, "Liquidity Lookback")
tpMultiplier = input.float(2.0, "TP Distance Multiplier")
// ─────────────────────────────────────────────
// LIQUIDITY SWEEP DETECTION
// ─────────────────────────────────────────────
lowestPrev = ta.lowest(low, len)
highestPrev = ta.highest(high, len)
sweepLow = low < lowestPrev and close > lowestPrev
sweepHigh = high > highestPrev and close < highestPrev
// Plot liquidity levels
plot(lowestPrev, "Liquidity Low", color = color.new(color.blue, 40), style = plot.style_line)
plot(highestPrev, "Liquidity High", color = color.new(color.red, 40), style = plot.style_line)
// ─────────────────────────────────────────────
// DISPLACEMENT DETECTION
// ─────────────────────────────────────────────
bullDisp = sweepLow and close > open and close > close
bearDisp = sweepHigh and close < open and close < close
// ─────────────────────────────────────────────
// FAIR VALUE GAP (FVG)
// ─────────────────────────────────────────────
bullFVG = low > high
bearFVG = high < low
// we’ll store the last FVG lines
var line fvgTop = na
var line fvgBottom = na
// clear old FVG lines when new one appears
if bullFVG or bearFVG
if not na(fvgTop)
line.delete(fvgTop)
if not na(fvgBottom)
line.delete(fvgBottom)
// Bullish FVG box
if bullFVG
fvgTop := line.new(bar_index , high , bar_index, high , extend = extend.right, color = color.new(color.green, 60))
fvgBottom := line.new(bar_index , low, bar_index, low, extend = extend.right, color = color.new(color.green, 60))
// Bearish FVG box
if bearFVG
fvgTop := line.new(bar_index , low , bar_index, low , extend = extend.right, color = color.new(color.red, 60))
fvgBottom := line.new(bar_index , high, bar_index, high, extend = extend.right, color = color.new(color.red, 60))
// ─────────────────────────────────────────────
// ENTRY, SL, TP CONDITIONS
// ─────────────────────────────────────────────
var line slLine = na
var line tp1Line = na
var line tp2Line = na
f_deleteLineIfExists(line_id) =>
if not na(line_id)
line.delete(line_id)
if bullDisp and bullFVG
sl = low
tp1 = close + (close - sl) * tpMultiplier
tp2 = close + (close - sl) * (tpMultiplier * 1.5)
f_deleteLineIfExists(slLine)
f_deleteLineIfExists(tp1Line)
f_deleteLineIfExists(tp2Line)
slLine := line.new(bar_index, sl, bar_index + 1, sl, extend = extend.right, color = color.red)
tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, extend = extend.right, color = color.green)
tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, extend = extend.right, color = color.green)
label.new(bar_index, close, "BUY Entry FVG Retest SL Below Sweep",
style = label.style_label_up, color = color.new(color.green, 0), textcolor = color.white)
if bearDisp and bearFVG
sl = high
tp1 = close - (sl - close) * tpMultiplier
tp2 = close - (sl - close) * (tpMultiplier * 1.5)
f_deleteLineIfExists(slLine)
f_deleteLineIfExists(tp1Line)
f_deleteLineIfExists(tp2Line)
slLine := line.new(bar_index, sl, bar_index + 1, sl, extend = extend.right, color = color.red)
tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, extend = extend.right, color = color.green)
tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, extend = extend.right, color = color.green)
label.new(bar_index, close, "SELL Entry FVG Retest SL Above Sweep",
style = label.style_label_down, color = color.new(color.red, 0), textcolor = color.white)
Volume Surge - First Candle Break (v6)thisisavolumesurgeindicator will help with trading. use it to identify on 5 minutes
thisisavolumesurgeindicator will help with trading. use it to identify on 5 minutes
thisisavolumesurgeindicator will help with trading. use it to identify on 5 minutes
Bollinger-Yanovskyy bands of perpendicular volatilityDifferent mathematical approach to volatility - measured in square root from a product of price distance by time distance (geometrically 90 degrees to a projected MA basis).
With MA length as a factor of this volatility STDEV, creating a self-tuning feedback loop basically.
Terils 1hr HTF EMA Add-On EMA 50/100its EMA 50 and EMA 100 in 1 her time frame.
its EMA 50 and EMA 100 in 1 her time frame.
its EMA 50 and EMA 100 in 1 her time frame.
its EMA 50 and EMA 100 in 1 her time frame.
its EMA 50 and EMA 100 in 1 her time frame.
EMAs [TrendRider.io]Dynamic Trend Indicator
A dual EMA indicator with dynamic color coding to show trend direction and strength.
Features:
Two customizable EMAs (default: 12 and 21) with fill between them
Color changes based on trend:
Green : Bullish trend (small EMA above big EMA)
Red : Bearish trend (small EMA below big EMA)
Gray : Neutral/consolidation
Multi-timeframe support
Customizable colors
Usage:
Watch for color changes to identify trend shifts and gauge trend strength through the fill area.
Volatility Value BandsThis indicator is a modern adaptation of Mark Helweg's original Value Charts concept, focused on visually displaying volatility zones and "extreme value" areas directly on the price chart. It does not replicate the original work but draws inspiration from the logic of normalizing price by volatility to highlight statistically stretched regions.
1. Introduction
This study displays three lines directly on the chart:
- a central reference line (base),
- an upper overvaluation band,
- and a lower undervaluation band.
The bands are calculated from the relationship between price, moving average, and volatility (via true range/ATR), following Mark Helweg's Value Charts concept but with a custom implementation and adjustable parameters for different assets and timeframes. This allows objectively visualizing when price is in a statistically extended region relative to its recent behavior.
2. Key Features
- Volatility-normalized base
The indicator converts price deviation into "value units" using a combination of moving average and smoothed volatility (true range/ATR), making levels comparable across different assets and time horizons.
- Auto-adjusting limits (optional)
An automatic mode can calculate upper and lower limits from recent value unit extremes, using a configurable sampling window and percentile, allowing bands to adapt to the current volatility regime without manual recalibration.
- Direct plot on price chart
The three lines (central, upper, and lower) are drawn directly on the main asset chart (`overlay`), making it easy to read context: it's clear when price "touches" or breaks the volatility bands without switching to a separate pane.
- Flexible parameters
Users can control:
- base moving average period (length)
- volatility factor (manual or automatic)
- independent windows for volatility and limits calculation
- limits mode (auto or manual) and percentile used
This allows adapting behavior to different markets (stocks, indices, forex, crypto).
3. How to Use
- Basic interpretation
- When price approaches or exceeds the upper band, it indicates a statistically overvalued zone where the asset is stretched upward relative to recent volatility.
- When price approaches or exceeds the lower band, it indicates a statistically undervalued zone.
- The central line serves as a reference for recent "average value," derived from the base moving average.
- Recommended initial setup
- Choose the Value Chart period (e.g., 144 bars) for the base.
- Enable automatic limits mode for coherent bands matching the asset's volatility.
- Adjust the limits window and percentile for tighter bands (more signals) or wider bands (fewer but more extreme).
- Best practices
- Use bands as context filters, not standalone buy/sell signals. Combine with trend, market structure, or other confirmation indicators.
- Avoid decisions solely because price touched a band; in strong trends, price can "walk the edge" for extended periods.
- Always follow TradingView community rules when publishing: clearly state in the description that the study is "inspired by Mark Helweg's Value Charts concept," without claiming official status, reproducing proprietary code, or violating copyrights.
鲨鱼交易无敌版欢迎联系我的TG:shayv123
85%胜率，月翻仓2-3倍
Welcome to contact me via my Telegram: shayv123
85% winning rate, monthly capital increase of 2-3 times
智能趋势-多周期动态信号 Smart Trend Oscillator MTF V1🚀 智能趋势-多周期动态信号 Smart Trend Oscillator MTF V1
—— 让交易像红绿灯一样简单直观 | Making Trading as Simple as Traffic Lights
告别复杂的参数设置，把市场噪音变成明确的信号。 Say goodbye to complex parameters. Turn market noise into clear signals.
🌟 它是做什么的？ / What Does It Do?
“智能趋势管家” 就像您的私人交易副驾驶。它内置了一套先进的智能平滑算法，能够自动过滤掉市场中那些骗人的假动作，只把最核心的**“市场真实韵律”通过一条平滑的波浪线展示给您。它不只是一根线，它是一套会思考的系统**。
"Smart Trend Oscillator " is like your personal trading co-pilot. It features a built-in advanced smoothing algorithm that automatically filters out deceptive market "fake-outs," revealing the "true rhythm" of the market through a single, smooth wave. It’s not just a line; it’s a thinking system.
🔥 核心功能 / Core Features
1. 🌊 智能波浪引擎 / Smart Wave Engine
不要被K线的上蹿下跳迷惑。我们的引擎能识别市场内部的真实能量。 Don't be confused by erratic candlesticks. Our engine identifies the true internal energy of the market.
过滤噪音 (Filter Noise)：自动忽略短暂的随机波动。
捕捉趋势 (Capture Trends)：波浪上升代表买方主导，波浪下降代表卖方主导。
2. 🛡️ 自适应波动通道 / Adaptive Channels
市场有时候像乌龟（波动小），有时候像兔子（波动大）。指标拥有一个“弹性通道”，它会根据市场活跃度自动变宽或变窄，精准判断价格是否“过热”或“超卖”。 The market moves between low and high volatility. The indicator features an "elastic channel" that automatically widens or narrows, accurately judging if the price is "Overheated" or "Oversold."
3. 🌍 全局监控面板 / Global Dashboard
右上角的面板是您的战况指挥室。一眼看懂 6 个不同时间维度的状态。全绿代表多周期共振向上，全红代表多周期共振向下。 The panel in the top-right corner is your Command Center. Understand the status of 6 different time dimensions at a glance. All Green means upward resonance; All Red means downward resonance.
⚙️ 极致的个性化定制 / Ultimate Customization
v16 版本为您提供了前所未有的控制权，让指标完全适应您的交易风格。 Version 16 gives you unprecedented control to tailor the indicator to your trading style.
🕒 1. 时间周期，由你定义 (Customizable Timeframes)
不再局限于系统默认设置。您可以在设置面板中自由输入 6 个您最关心的周期（例如：5分钟、1小时、甚至 3天）。
短线手：设置为 1分/3分/5分/15分...
波段手：设置为 1小时/4小时/日线/周线...
Benefit: You can freely input the 6 timeframes that matter most to you in the settings panel, whether you are a scalper or a swing trader.
🎯 2. 灵敏度调节 (Adjustable Sensitivity)
想要更多交易机会？还是想要更稳健的信号？
高灵敏度：调高 Zone Sensitivity，捕捉每一次微小的回调（适合激进风格）。
低灵敏度：调低数值，过滤掉小波动，只抓大趋势（适合稳健风格）。
Benefit: Dial up the sensitivity to catch every minor pullback (Aggressive), or dial it down to filter noise and catch only big trends (Conservative).
📊 3. 两种平滑模式 (SMA vs. VWMA)
您可以选择通道的计算核心：
Standard (SMA)：经典模式，适合大多数市场。
Volume Weighted (VWMA)：成交量加权模式。在加密货币或股票市场，它能帮您过滤掉“无量空涨”或“无量空跌”的假信号。
Benefit: Choose Standard (SMA) for general markets, or Volume Weighted (VWMA) to filter out fake moves on low volume (great for Crypto/Stocks).
🚦 信号含义 / Signals Guide
我们把复杂的逻辑浓缩成了最简单的视觉标签： We have condensed complex logic into the simplest visual labels:
🟢 绿色 BUY 标签：市场“便宜”且能量向上。 (Market is "Cheap" & Energy is Up.)
🔴 红色 SELL 标签：市场“过热”且能量向下。 (Market is "Overheated" & Energy is Down.)
🔵 蓝色 HOLD 标签：趋势延续中，建议持仓。 (Trend is continuing, suggest holding position.)
📥 快速上手 / Quick Start
加载指标 (Load)：添加到您的图表。
设置周期 (Set Timeframes)：在输入选项里填入您习惯查看的 6 个时间周期。
选择模式 (Choose Mode)：如果是成交量重要的资产，建议开启 VWMA 模式。
等信号 (Wait)：等待带方框的 BUY 或 SELL 标签出现。
把复杂留给算法，把简单留给您。 Leave the complexity to the algorithms, and keep the simplicity for yourself.
Relative Strength Portofolio Strategy (RSPS) | DextraRelative Strength Portofolio Strategy (RSPS) | Dextra
Conceptual Foundation and Strategy Innovation
RSPS is a multi-asset rotation strategy that combines pairwise relative strength analysis across major cryptocurrencies with a robust market regime filter, along with an automatic safe-haven switch to Gold or USD (cash) during weakening market conditions. The strategy is designed to dynamically allocate capital to the cryptocurrency exhibiting the strongest relative dominance during bull phases, while significantly reducing exposure when overall crypto momentum fades—aiming to capture upside from the leading sector while limiting large drawdowns.
The core approach relies on a custom momentum indicator optimized for each asset pair, incorporating hysteresis to maintain signal stability and prevent excessive rotation (whipsaw). This creates a responsive rotation system that adapts to shifts in sector strength within the crypto market, focusing on capitalizing on the strongest prevailing momentum.
Market Regime Detection
Overall market regime is determined by a custom momentum indicator applied to the CRYPTO INDEX.
Gold strength is evaluated separately via a similar indicator on the Gold asset, serving as the trigger for safe-haven allocation during bearish conditions.
Pairwise Relative Strength Analysis
Relative strength is measured through pairwise comparisons between assets using custom indicator with period and threshold parameters tailored specifically to each pair—reflecting the unique volatility and historical behavior of each relationship.
Scoring System
Each asset receives a score (0–5) based on how many other assets it “outperforms” in the pairwise comparisons.
The highest score identifies the current relative leader.
During bull markets: allocation focuses on the top-scoring cryptocurrency.
During bear markets: the system switches to GOLD (if showing strength) or USD (cash) as a defensive position.
Allocation Guidance
The script defaults to suggesting 100% allocation to the selected asset to maximize exposure to the strongest momentum. However, traders can adjust exposure percentages based on personal risk tolerance—for example, allocating 70–90% to the dominant asset and keeping the remainder in USD or stablecoins to reduce portfolio volatility.
Equity Curve & Risk Metrics
Equity curve is calculated in real-time starting from a user-defined date.
Maximum Drawdown (MDD) is tracked and displayed as the primary risk metric.
Visualization and Dashboard Features
Equity Curve: Thick line plot with dynamic coloring based on the currently active asset.
Bar and Background Coloring: Transparent green during bull regime, red during bear.
Table in the bottom-right corner: Displays real-time scores for all assets (including USD and GOLD when relevant), with asset-specific background colors and highlighting for high scores.
Information Label: Shows the current active position, total ROI (as a multiplier), and MDD (%).
Assets Covered
Major cryptocurrencies: BTC, ETH, SOL, SUI, BNB, HYPE
Safe-haven assets: GOLD, USD (cash)
It performs best on the daily (1D) timeframe, where noise is reduced and signal reliability is higher.
Summary
RSPS | Dextra provides a fully automated asset rotation framework based on pairwise relative strength with pair-specific parameters, combined with clear market regime detection and risk-off mechanics. With its comprehensive visual dashboard (score table, colored equity curve, and real-time performance metrics), the script serves as a powerful decision-support tool for navigating crypto market dynamics—capturing upside from leading sectors while protecting capital during downturns.
BB latif Multi MAThis is a version of the Bollinger Band with the addition of the "but" averaging method. It gives good results in different timeframes and I think it's better than simple or exponential averaging. I use the values 20-2.4-40.
MorphWave Bands [JOAT]MorphWave Bands - Adaptive Volatility Envelope System
MorphWave Bands create a dynamic price envelope that automatically adjusts its width based on current market conditions. Unlike static Bollinger Bands, this indicator blends ATR and standard deviation with an efficiency ratio to expand during trending conditions and contract during consolidation.
What This Indicator Does
Plots adaptive upper and lower bands around a customizable moving average basis
Automatically adjusts band width using a blend of ATR and standard deviation
Detects volatility squeezes when bands contract to historical lows
Highlights breakouts when price moves beyond the bands
Provides squeeze alerts for anticipating volatility expansion
Adaptive Mechanism
The bands adapt through a multi-step process:
// Blend ATR and Standard Deviation
blendedVol = useAtrBlend ? (atrVal * 0.6 + stdVal * 0.4) : stdVal
// Normalize volatility to its historical range
volNorm = (blendedVol - volLow) / (volHigh - volLow)
// Create adaptive multiplier
adaptMult = baseMult * (0.5 + volNorm * adaptSens)
This creates bands that respond to market regime changes while maintaining stability.
Squeeze Detection
A squeeze is identified when band width drops below a specified percentile of its historical range:
Background highlighting indicates active squeeze conditions
Low percentile readings suggest compressed volatility
Squeeze exits often precede directional moves
Inputs Overview
Band Length — Period for basis calculation (default: 20)
Base Multiplier — Starting band width multiplier (default: 2.0)
MA Type — Choose from SMA, EMA, WMA, VWMA, or HMA
Adaptation Lookback — Historical period for normalization (default: 50)
Adaptation Sensitivity — How much bands respond to volatility changes
Squeeze Threshold — Percentile below which squeeze is detected
Dashboard Information
Current trend direction relative to basis and bands
Band width percentage
Squeeze status (Active or None)
Efficiency ratio
Current adaptive multiplier value
How to Use It
Look for squeeze conditions as potential precursors to breakouts
Use band touches as dynamic support/resistance references
Monitor breakout signals when price closes beyond bands
Combine with momentum indicators for directional confirmation
Alerts
Upper/Lower Breakout — Price exceeds band boundaries
Squeeze Entry/Exit — Volatility compression begins or ends
Basis Crosses — Price crosses the center line
This indicator is provided for educational purposes. It does not constitute financial advice.
— Made with passion by officialjackofalltrades
