Volatility ML StrategyThis strategy uses proxy indicators for machine learning-predicted volatility and GARCH-based expected volatility. Trades are triggered when predicted volatility change exceeds threshold and market momentum confirms. Based on a fully engineered XGBoost + GARCH Python pipeline, adapted into Pine Script for backtesting and deployment on TradingView
Göstergeler ve stratejiler
BIZ: Multi Purpose Indicator V3Multi Purpose Indicator:
1. MTF Table for all Timeframes
2. Support Resistance Zones: Yesterday + Today
3. Trend colored background
4. 200 Ema + 50 Ema + 9 Ema
5. Doji + Hammer Candles Indentify
Market Manipulation Index (MMI)The Composite Manipulation Index (CMI) is a structural integrity tool that quantifies how chaotic or orderly current market conditions are, with the aim of detecting potentially manipulated or unstable environments. It blends two distinct mathematical models that assess price behavior in terms of both structural rhythm and predictability.
1. Sine-Fit Deviation Model:
This component assumes that ideal, low-manipulation price behavior resembles a smooth oscillation, such as a sine wave. It generates a synthetic sine wave using a user-defined period and compares it to actual price movement over an adaptive window. The error between the real price and this synthetic wave—normalized by price variance—forms the Sine-Based Manipulation Index. A high error indicates deviation from natural rhythm, suggesting structural disorder.
2. Predictability-Based Model:
The second component estimates how well current price can be predicted using recent price lags. A two-variable rolling linear regression is computed between the current price and two lagged inputs (close and close ). If the predicted price diverges from the actual price, this error—also normalized by price variance—reflects unpredictability. High prediction error implies a more manipulated or erratic environment.
3. Adaptive Mechanism:
Both components are calculated using an adaptive smoothing window based on the Average True Range (ATR). This allows the indicator to respond proportionally to market volatility. During high volatility, the analysis window expands to avoid over-sensitivity; during calm periods, it contracts for better responsiveness.
4. Composite Output:
The two normalized metrics are averaged to form the final CMI value, which is then optionally smoothed further. The output is scaled between 0 and 1:
0 indicates a highly structured, orderly market.
1 indicates complete structural breakdown or randomness.
Suggested Interpretation:
CMI < 0.3: Market is clean and structured. Trend-following or breakout strategies may perform better.
CMI > 0.7: Market is structurally unstable. Choppy price action, fakeouts, or manipulative behavior may dominate.
CMI 0.3–0.7: Transitional zone. Caution or reduced risk may be warranted.
This indicator is designed to serve as a contextual filter, helping traders assess whether current market conditions are conducive to structured strategies, or if discretion and defense are more appropriate.
Support & Resistance Automatically draws the crucial support and resistance lines.
Todays High and Low in Red.
Yesterdays High and Low in Orange.
EMA Trend Bias (200 & 50)🔥 How It Works
📌 Green 200 EMA = Price above (Long-term Bullish trend)
📌 Red 200 EMA = Price below (Long-term Bearish trend)
📌 Blue 50 EMA = Price above (Short-term Bullish bias)
📌 Orange 50 EMA = Price below (Short-term Bearish bias)
This script helps confirm both short-term & long-term trend direction, making it easier to identify strong setups! 🚀
Would you like me to add alerts when price crosses either EMA for automated trade notifications?
Let me know if you need any refinements!
Pi Cycle Top Indicator (BTCUSD)Indikator siklus untuk btcusdt, Indikator siklus untuk btcusdt,Indikator siklus untuk btcusdt
XAUUSD SNR 250 Pips + Labelsonly for gold , this like snr but with static, so this indicator i make for round key level gold
Timeframe StrategyThis is a multi-timeframe trading strategy inspired by Ross Cameron's style, optimized for scalping and trend-following across various timeframes (1m, 5m, 15m, 1h, and 1D). The strategy integrates a comprehensive set of technical indicators, dynamic risk management, and visual tools.
Core Features
Dynamic Take Profit, Stop Loss & Trailing Stop
> Separate settings per timeframe for:
-TP% (Take Profit)
-SL% (Stop Loss)
-Trailing Stop %
-Cooldown bars
> Configurable via UI inputs.
>Smart Entry Conditions
Bullish entry: EMA9 crossover EMA20 and EMA50 > EMA200
Bearish entry: EMA9 crossunder EMA20 and EMA50 < EMA200
>Additional confirmation filters:
-Volume Filter (enabled/disabled via UI)
-Time Filter (e.g., only between 15:00–20:00 UTC)
-Spike Filter: rejects high-volatility candles
-RSI Filter: above/below 50 for trend confirmation
-ADX Filter (only applied on 1m, e.g., ADX > 15)
-Micro-Volatility Filter: minimum range percentage (1m only)
-Trend Filter (1m only): price must be above/below EMA200
>Trailing Stop Logic
-Configurable for each timeframe.
- Optional via toggle (use_trailing).
>Trade Cooldown Logic
-Prevents consecutive trades within X bars, configurable per timeframe.
>Technical Indicators Used
-EMA 9 / 20 / 50 / 200
-VWAP
-RSI (14)
-ATR (14) for volatility-based spike filtering
-Custom-calculated ADX (14) (manually implemented)
>Visual Elements
🔼/🔽 Entry signals (long/short) plotted on the chart.
📉 Table in bottom-left:
Displays current values of EMA/VWAP/volume/ATR/ADX.
> Optional "Tab info" panel in top-right (toggleable):
-Timeframe & strategy settings
-Live status of filters (volume, time, cooldown, spike, RSI, ADX, range, trend)
-Uses emoji (✅ / ❌) for quick diagnostics.
>User Customization
-Inputs per timeframe for all key parameters.
-Toggle switches for:
-Trailing stop
-Volume filter
-Info table visibility
This strategy is designed for active traders seeking a balance between momentum entry, risk control, and adaptability across timeframes. It's ideal for backtesting quick reversals or breakout setups in fast markets, especially at lower timeframes like 1m or 5m.
ORB Strategy w/ Volume Confirmation & EMAsORB breakout within 15 minutes of the NY open. Uses EMA indicators to show strength in trend.
Macro Time Block 15mIndicator zeigt die Macrozeit 15 Minuten vor und 15 Minuten nach voller Stunde an.
Macro Time Block (15m przed i po)Indicator zeigt die Macrozeit 15 Minuten vor und 15 minuten nach voller Stunde.
Peak Pulse ReversalPeak Pulse Reversal is a clean and accurate indicator designed to detect price exhaustion zones.
It uses a combination of internal logic to identify high-probability reversal points — both at tops and bottoms.
📈 Ideal for swing and intraday traders
🔍 Highlights overbought/oversold extremes with signal arrows
🧠 Combines multiple hidden tools under a simplified interface
🔎 Among the signals generated by the indicator, purple and orange signals represent moments where multiple internal indicators confirm an overbought or oversold condition simultaneously.
These signals often form at stronger exhaustion points and indicate a higher probability of reversal.
💡 Therefore, purple and orange signals are considered high-confidence zones.
🔐 Manual access only. Contact @traderpango for access
market_structureMarket Structure
This Pine Script implements a multi-timeframe market structure indicator to detect pivot-based trend directions and potential change of character (CHoCH) in price action. It's useful for identifying trend shifts and drawing key structural levels like swing highs, swing lows, and break points.
🔍 Core Features:
Pivot-Based Highs and Lows: Uses ta.pivothigh and ta.pivotlow with configurable lookback periods (left and right) to detect local highs and lows.
Direction Detection Modes: Supports multiple methods for trend direction:
'hl': based on price breaking recent high/low
'close': based on close price
'fbc': full-body candle break (min(open, close) vs. max(open, close))
'minmax': based on dynamically tracked min highs and max lows (via get_dir)
Trend Direction Tracking:
pp_dir: Primary pivot direction
pp_high_dir, pp_low_dir: Direction of highs/lows
pp_sl_dir: Secondary structure direction (based on previous pivot comparisons)
Multi-Timeframe Support: The indicator fetches pivot and direction signals from a selectable higher timeframe using request.security.
🔧 Inputs:
Timeframe (tf): Timeframe to analyze (e.g. '60', 'D', or leave empty for current)
Direction Mode (dir_mode): One of 'hl', 'close', 'fbc', 'minmax'
Source High/Low: Customizable source series for pivot calculations (default: high and low)
Pivot Lookback (left and right): Controls how far left/right to check for pivots
Centering Option (center): Offsets plots for pivot centering
Show Dir (show_dir): Toggles whether to color lines based on trend direction
🧠 Function Logic:
get_dir(pp_high, pp_low)
Tracks dynamic support/resistance levels and detects Change of Character (CHoCH):
If price breaks above tracked highs → Bullish shift
If price breaks below tracked lows → Bearish shift
market_structure(...)
Calculates pivots, smoothed highs/lows (pp_high, pp_low)
Determines trend direction using the selected mode
Computes midpoints and potential SL levels (pp_sl_high, pp_sl_low)
📊 Plots:
BUY (pp_high): Bullish pivot line
SELL (pp_low): Bearish pivot line
Middle (pp_mid): Midpoint of structure (optional, hidden by default)
SL BUY / SL SELL: Potential stop-loss zones, based on previous pivot extensions
Line colors are adjusted depending on direction:
Green: Bullish trend
Red: Bearish trend
This indicator is powerful for traders applying Smart Money Concepts (SMC) or Price Action-based analysis, as it automates structural trend detection and visualizes key breakout or reversal zones.
Would you like a visual diagram to explain the pivot logic or direction modes?
Liquid Pulse Liquid Pulse by Dskyz (DAFE) Trading Systems
Liquid Pulse is a trading algo built by Dskyz (DAFE) Trading Systems for futures markets like NQ1!, designed to snag high-probability trades with tight risk control. it fuses a confluence system—VWAP, MACD, ADX, volume, and liquidity sweeps—with a trade scoring setup, daily limits, and VIX pauses to dodge wild volatility. visuals include simple signals, VWAP bands, and a dashboard with stats.
Core Components for Liquid Pulse
Volume Sensitivity (volumeSensitivity) controls how much volume spikes matter for entries. options: 'Low', 'Medium', 'High' default: 'High' (catches small spikes, good for active markets) tweak it: 'Low' for calm markets, 'High' for chaos.
MACD Speed (macdSpeed) sets the MACD’s pace for momentum. options: 'Fast', 'Medium', 'Slow' default: 'Medium' (solid balance) tweak it: 'Fast' for scalping, 'Slow' for swings.
Daily Trade Limit (dailyTradeLimit) caps trades per day to keep risk in check. range: 1 to 30 default: 20 tweak it: 5-10 for safety, 20-30 for action.
Number of Contracts (numContracts) sets position size. range: 1 to 20 default: 4 tweak it: up for big accounts, down for small.
VIX Pause Level (vixPauseLevel) stops trading if VIX gets too hot. range: 10 to 80 default: 39.0 tweak it: 30 to avoid volatility, 50 to ride it.
Min Confluence Conditions (minConditions) sets how many signals must align. range: 1 to 5 default: 2 tweak it: 3-4 for strict, 1-2 for more trades.
Min Trade Score (Longs/Shorts) (minTradeScoreLongs/minTradeScoreShorts) filters trade quality. longs range: 0 to 100 default: 73 shorts range: 0 to 100 default: 75 tweak it: 80-90 for quality, 60-70 for volume.
Liquidity Sweep Strength (sweepStrength) gauges breakouts. range: 0.1 to 1.0 default: 0.5 tweak it: 0.7-1.0 for strong moves, 0.3-0.5 for small.
ADX Trend Threshold (adxTrendThreshold) confirms trends. range: 10 to 100 default: 41 tweak it: 40-50 for trends, 30-35 for weak ones.
ADX Chop Threshold (adxChopThreshold) avoids chop. range: 5 to 50 default: 20 tweak it: 15-20 to dodge chop, 25-30 to loosen.
VWAP Timeframe (vwapTimeframe) sets VWAP period. options: '15', '30', '60', '240', 'D' default: '60' (1-hour) tweak it: 60 for day, 240 for swing, D for long.
Take Profit Ticks (Longs/Shorts) (takeProfitTicksLongs/takeProfitTicksShorts) sets profit targets. longs range: 5 to 100 default: 25.0 shorts range: 5 to 100 default: 20.0 tweak it: 30-50 for trends, 10-20 for chop.
Max Profit Ticks (maxProfitTicks) caps max gain. range: 10 to 200 default: 60.0 tweak it: 80-100 for big moves, 40-60 for tight.
Min Profit Ticks to Trail (minProfitTicksTrail) triggers trailing. range: 1 to 50 default: 7.0 tweak it: 10-15 for big gains, 5-7 for quick locks.
Trailing Stop Ticks (trailTicks) sets trail distance. range: 1 to 50 default: 5.0 tweak it: 8-10 for room, 3-5 for fast locks.
Trailing Offset Ticks (trailOffsetTicks) sets trail offset. range: 1 to 20 default: 2.0 tweak it: 1-2 for tight, 5-10 for loose.
ATR Period (atrPeriod) measures volatility. range: 5 to 50 default: 9 tweak it: 14-20 for smooth, 5-9 for reactive.
Hardcoded Settings volLookback: 30 ('Low'), 20 ('Medium'), 11 ('High') volThreshold: 1.5 ('Low'), 1.8 ('Medium'), 2 ('High') swingLen: 5
Execution Logic Overview trades trigger when confluence conditions align, entering long or short with set position sizes. exits use dynamic take-profits, trailing stops after a profit threshold, hard stops via ATR, and a time stop after 100 bars.
Features Multi-Signal Confluence: needs VWAP, MACD, volume, sweeps, and ADX to line up.
Risk Control: ATR-based stops (capped 15 ticks), take-profits (scaled by volatility), and trails.
Market Filters: VIX pause, ADX trend/chop checks, volatility gates. Dashboard: shows scores, VIX, ADX, P/L, win %, streak.
Visuals Simple signals (green up triangles for longs, red down for shorts) and VWAP bands with glow. info table (bottom right) with MACD momentum. dashboard (top right) with stats.
Chart and Backtest:
NQ1! futures, 5-minute chart. works best in trending, volatile conditions. tweak inputs for other markets—test thoroughly.
Backtesting: NQ1! Frame: Jan 19, 2025, 09:00 — May 02, 2025, 16:00 Slippage: 3 Commission: $4.60
Fee Typical Range (per side, per contract)
CME Exchange $1.14 – $1.20
Clearing $0.10 – $0.30
NFA Regulatory $0.02
Firm/Broker Commis. $0.25 – $0.80 (retail prop)
TOTAL $1.60 – $2.30 per side
Round Turn: (enter+exit) = $3.20 – $4.60 per contract
Disclaimer this is for education only. past results don’t predict future wins. trading’s risky—only use money you can lose. backtest and validate before going live. (expect moderators to nitpick some random chart symbol rule—i’ll fix and repost if they pull it.)
About the Author Dskyz (DAFE) Trading Systems crafts killer trading algos. Liquid Pulse is pure research and grit, built for smart, bold trading. Use it with discipline. Use it with clarity. Trade smarter. I’ll keep dropping badass strategies ‘til i build a brand or someone signs me up.
2025 Created by Dskyz, powered by DAFE Trading Systems. Trade smart, trade bold.
Gann Square NumbersThis is initial version of Gann square numbers.
This is initial version of Gann square numbers.
This is initial version of Gann square numbers.
This is initial version of Gann square numbers.
This is initial version of Gann square numbers.
ICT Macro and Daye QT ShiftEST Vertical Lines - Auto DST Adjustment
Overview
This indicator draws customizable vertical lines at specific Eastern Time (EST/EDT) points throughout the trading day, automatically adjusting for daylight savings time. Designed for precision trading on 1-minute and 5-minute charts, it highlights key intraday moments when price action tends to accelerate.
Features
- **18 pre-configured NY session times** (09:50-15:45 ET)
- **Auto timezone conversion** - Always shows correct EST/EDT regardless of your local timezone
- **3 line styles** - Choose between solid/dashed/dotted lines
- **Clean labeling** - Optional time markers above each line
- **1m/5m optimized** - Perfect for scalpers and day traders
- **Visual alerts** - "TOUCH" labels when price interacts with lines
Inputs
| Parameter | Description | Default |
|-----------|-------------|---------|
| Line Times | Comma-separated HH:MM times | 09:50,10:10,...15:45 |
| Line Color | Line color | Black |
| Line Width | 1-5px thickness | 2 |
| Line Style | Solid/Dashed/Dotted | Solid |
| Show Labels | Display time markers | true |
How To Use
1. Apply to 1m or 5m charts
2. Lines appear automatically at specified EST times
3. Watch for price reactions at these key levels
4. Customize styles via indicator settings
Ideal For
- NY open/London close traders
- Earnings/News traders
- Breakout traders
- Market open/close strategies
Updates
v1.1 - Added line style customization
v1.0 - Initial release
Reversal Detector [Apicode]This indicator attempts to represent significant trend changes. While it's not perfect (none are), it does allow you to be prepared for the next trend change. Remember to combine it with other indicators.
Unified ATR Zones### 🧠 **Purpose of the Script**
This indicator draws **ATR-based support and resistance levels** directly on the price chart (overlay). It's a clean and minimal visualization of current volatility zones derived from the **ATR (Average True Range)**.
---
### ⚙️ **1. User Inputs**
```pinescript
atr_length = input.int(14, "ATR Period", minval=1)
smoothing = input.string("RMA", "Smoothing", options= )
use_prev_close = input(false, "Use Previous Close")
```
* `atr_length`: The number of bars to calculate the ATR (default 14).
* `smoothing`: Type of moving average used to smooth the ATR.
* `use_prev_close`: If true, use the previous close (`close `) as the base level. If false, use the current close.
---
### 📐 **2. ATR Calculation**
```pinescript
true_range = ta.tr(true)
atr_value = ma_function(true_range, atr_length)
```
* `true_range`: Measures the maximum of:
* High - Low
* High - Previous Close
* Low - Previous Close
* `atr_value`: Smoothed version of `true_range` using the selected MA type.
---
### 📏 **3. Base Level**
```pinescript
base_level = use_prev_close ? close : close
```
* This is the price reference point for plotting zones:
* Can be today's close or yesterday’s close, based on user input.
---
### 🧱 **4. Zone Plotting**
```pinescript
plot(base_level, "Base", color=color.gray, linewidth=1)
plot(base_level + atr_value, "1 ATR Long", color=color.green)
plot(base_level + atr_value * 1.5, "1.5 ATR Long", color=color.blue)
plot(base_level - atr_value, "1 ATR Short", color=color.red)
plot(base_level - atr_value * 1.5, "1.5 ATR Short", color=color.maroon)
```
* **Base level** is plotted in gray.
* **+1 ATR and +1.5 ATR levels** are shown above as resistance or targets (green/blue).
* **–1 ATR and –1.5 ATR levels** are plotted below as support or potential reversal zones (red/maroon).
---
### 📋 **5. Info Panel**
```pinescript
var table info_table = table.new(position.top_right, 2, 1)
table.cell(info_table, 0, 0, "ATR: " + str.tostring(atr_value, "#.##"), bgcolor=color.new(color.gray, 90))
```
* A small **table in the top-right corner** shows the current ATR value.
* Background is semi-transparent gray for a clean look.
---
### ✅ **Use Case**
This script is useful for:
* Visualizing real-time **volatility zones**.
* Planning entries/exits or managing risk based on market volatility.
* Identifying breakout or retracement opportunities at dynamic ATR-based levels.
---
Would you like to add **alerts** when price touches any of these zones, or include more zone levels (e.g. 0.5 ATR)?
ATR Zone Levels Pro### 🧠 **Purpose of the Script**
The script calculates **dynamic support/resistance levels** above and below a base price using the **ATR (Average True Range)**. These "zones" help traders identify potential areas of price reaction, entries, or stop placement based on current market volatility.
---
### ⚙️ **1. User Inputs**
```pinescript
show_long = input(true, "Show Long Levels")
show_short = input(true, "Show Short Levels")
use_close_price = input(true, "Use Close Price")
atr_length = input.int(14, "ATR Period", minval=1)
smoothing = input.string("RMA", "Smoothing Type", options= )
```
* `show_long` and `show_short`: Allow toggling visibility of long/short zones.
* `use_close_price`: If true, base level = close price; else, it’s the average of high and low.
* `atr_length`: Number of bars used for ATR calculation.
* `smoothing`: Type of smoothing applied to the ATR.
---
### 📐 **2. ATR Calculation with Custom Smoothing**
```pinescript
ma_function(source, length) => ...
true_range = ta.tr(true)
atr = ma_function(true_range, atr_length)
```
* `true_range`: Calculates the true range for each bar.
* `atr`: Applies user-selected smoothing function to the true range to get ATR.
---
### 📏 **3. Base Level Calculation**
```pinescript
base_level = use_close_price ? close : (high + low) / 2
```
* Defines the **base price level** for the zones:
* `close` if selected, otherwise midpoint of high and low.
---
### 🔢 **4. Calculating Zone Levels**
```pinescript
array.push(long_levels, base_level + atr * 0.3) ...
array.push(short_levels, base_level - atr * 0.3) ...
```
* Creates arrays of levels spaced at multipliers of ATR (0.3x, 0.5x, 1x, 1.5x).
* `long_levels` are above the base level (for breakout or continuation).
* `short_levels` are below (for breakdown or reversal).
---
### 🖼️ **5. Plotting Levels**
```pinescript
plot(show_long ? array.get(long_levels, 1) : na, ...)
```
* Each level is plotted with distinct colors.
* If `show_long` or `show_short` is disabled, the corresponding lines are hidden.
---
### 📋 **6. Info Table (Top Right Corner)**
```pinescript
var table info_table = table.new(position.top_right, 2, 5)
```
* Displays:
* Current ATR value
* Main Long/Short zone level (1 ATR above/below base)
* Chosen smoothing type
* Current base price
---
### 🏷️ **7. Info Label on Chart**
```pinescript
label.new(bar_index, base_level, ...)
```
* Shows a label near the base price on the last bar with:
* Base level
* ATR value
* Old label is deleted on each bar to keep only one active label.
---
### ✅ **Use Case**
This indicator is ideal for:
* Determining dynamic **support/resistance levels**
* Planning entries/exits based on volatility zones
* Structuring trades with ATR-based risk zones (e.g. 1.5x ATR stops)
---
Would you like me to add **alerts** when price reaches these zones or crosses them?
ATR Momentum Pro### 🧠 **Purpose of the Script**
This indicator visualizes the **momentum of volatility** by calculating the difference between the current ATR (Average True Range) and its moving average. It helps detect periods when market volatility is accelerating or decelerating.
---
### ⚙️ **1. User Inputs**
```pinescript
atr_length = input.int(14, "ATR Period", minval=1, maxval=100)
ma_length = input.int(20, "MA Period", minval=1, maxval=50)
ma_type = input.string("SMA", "MA Type", options= )
```
* `atr_length`: Number of periods used to calculate ATR (default is 14).
* `ma_length`: Number of periods for smoothing the ATR.
* `ma_type`: Type of Moving Average to use for smoothing (SMA, EMA, RMA, or WMA).
---
### 📈 **2. Calculations**
```pinescript
atr = ta.atr(atr_length)
```
* Calculates the standard **ATR**, which measures market volatility using high, low, and close prices.
```pinescript
ma_value = switch ma_type
"SMA" => ta.sma(atr, ma_length)
"EMA" => ta.ema(atr, ma_length)
"RMA" => ta.rma(atr, ma_length)
"WMA" => ta.wma(atr, ma_length)
```
* Applies the selected Moving Average to the ATR to smooth it.
```pinescript
oscillator = atr - ma_value
```
* Calculates the **ATR Momentum Oscillator**:
* Positive values: volatility is increasing.
* Negative values: volatility is decreasing.
---
### 📊 **3. Oscillator Plot**
```pinescript
plot(oscillator, "ATR Momentum", color=color.new(color.blue, 0), style=plot.style_histogram)
```
* Plots the oscillator as a **blue histogram** in a separate pane below the chart.
---
### 🏷️ **4. Informational Label**
```pinescript
var label lbl = label.new(bar_index, na, "", style=label.style_label_center)
if barstate.islast
label.set_xy(lbl, bar_index, ta.highest(high, 10) )
label.set_text(lbl,
"ATR: " + str.tostring(atr, "#.##") +
" MA(" + str.tostring(ma_length) + "): " + str.tostring(ma_value, "#.##") +
" Momentum: " + str.tostring(oscillator, "#.##"))
label.set_color(lbl, oscillator > 0 ? color.green : color.red)
```
* Creates a **single label** that updates only on the **latest bar**.
* The label shows:
* Current ATR
* ATR moving average
* Momentum (difference between the two)
* Label color:
* **Green** if momentum > 0
* **Red** if momentum < 0
* The label is positioned just above the price (highest high of the last 10 bars, offset by 1 bar).
---
### ✅ **Use Case**
This indicator is useful for:
* Spotting increases or decreases in market volatility
* Confirming breakout strength
* Filtering trades based on volatility momentum
---
Would you like me to add **buy/sell signals** when the oscillator crosses above or below zero?