Live Breakout Zones (No Repaint)The Live Breakout Zones indicator is a non-repainting, real-time breakout detection tool designed to help traders identify critical price breakouts as they happen — without lag and without repainting past signals.
This indicator scans recent price action to determine the highest high and lowest low over a user-defined lookback period. When price closes above the recent high or below the recent low, it immediately plots a breakout zone on the chart and provides a visual confirmation through labels and optional alerts.
🔍 Key Features:
✅ No Repainting – Signals are locked in as soon as a breakout happens; no future bar confirmation is needed.
⏱️ Minimal Lag – Reacts on breakout of recent range highs/lows without waiting for pivots or candle confirmation.
📦 Breakout Zones – Automatically draws colored rectangles showing the breakout level and zone width for clearer analysis.
🔔 Real-Time Alerts – Alerts for both bullish and bearish breakouts help you stay informed without watching the screen.
⚙️ Customizable – Adjustable lookback length, zone width, and color settings to match your strategy or chart style.
📈 Use Cases:
Identify key breakout moments for entry or retest zones.
Confirm breakout-based strategies in trending or consolidating markets.
Use zones for setting risk-reward areas, SL/TP levels, or re-entry planning.
⚙️ Settings:
Lookback Range (High/Low): Defines how many previous bars are checked for breakout levels.
Zone Width: Number of bars to extend the breakout box forward.
Bullish/Bearish Zone Color: Choose custom colors for breakout visualization.
🧠 Trading Tip:
Combine this tool with volume spikes, tail candles, or support/resistance for more reliable breakout setups.
Pattern grafici
Market Direction Arrowsmy indicater when market is up trend they show green arrow when market is down trend they
show red arrow confirm my indicater never fail
Heatmap w/ ATRThis script combines Heatmap Volume with a scaled ATR (Average True Range) overlay for dynamic market insight. Volume bars are color-coded based on how many standard deviations they deviate from a moving average, helping identify spikes, absorption, or anomalies.
The ATR is scaled relative to the maximum volume observed to maintain visual alignment in the same pane. This allows traders to compare price volatility (ATR) against real market activity (volume) in one view.
Use this overlay to:
Spot high-volatility, high-conviction moves (rising ATR + red/orange bars)
Detect low-volume fakeouts (high ATR, cool-colored bars)
Identify compression zones before expansion (low ATR + normal volume)
Combined Indicators: RSI, DMI, ATR, EMA, SMAit is a script that adds every single type of indicator ( but not ribbons ) ...
give it your interest and try it out !!!
feel free to give it a like ...
yours truly jitendra thakur ...
Market Opening & Closing TimesThis indicator highlights the opening and closing times of major global markets (NYSE, LSE, Tokyo) on any chart timeframe. Users can toggle the display of lines and labels, and customize colors per market.
Features:
Toggle each market’s Open/Close separately
Global toggles: Show/Hide all lines or labels
Customizable colors for NYSE, LSE, and Tokyo markers
Accurate event detection using timezone-aware timestamp checks within each bar
Breakout Strength Radar🚀 What It Does:
The Breakout Strength Radar tells you:
✅ Trend direction: Bullish / Bearish / Neutral
✅ Trend slope: Rising / Falling / Flat
→ Is the trend gaining strength or fading?
✅ Momentum: Strong Bullish / Strong Bearish / Neutral
→ Is there fuel behind the move?
✅ Volatility condition: Expanding / Contracting / Stable
→ Is the market opening up (breakout likely) or squeezing (consolidation)?
✅ Breakout Watch:
→ Tells you when the market just shifted from a squeeze to expansion — this is prime breakout territory.
🏗️ How It Works Under The Hood:
📈 Trend:
→ Compares EMA 50 vs EMA 200. Standard institutional trend filter.
⛰️ Slope:
→ Checks whether EMA50 is rising, falling, or flat based on its slope over the past 5 bars.
🚀 Momentum:
→ Uses RSI:
→ RSI > 55 → Momentum Bullish
→ RSI < 45 → Momentum Bearish
→ RSI between 45-55 → Neutral / No strong pressure
🌪️ Volatility:
→ Uses Bollinger Band Width (BB Width):
→ Expanding → Breakouts, volatility rising.
→ Contracting → Squeeze, compression, range.
💥 Breakout Watch:
→ Triggers when volatility was contracting for 5 candles → then starts expanding.
→ This often precedes massive directional moves.
🎯 How to Use It for Swing Trades:
🔥 Prime Swing Setup Checklist:
→ ✅ Trend: Bullish or Bearish (no Neutral).
→ ✅ Slope: Rising (Bull) or Falling (Bear).
→ ✅ Momentum: Strong Bullish or Strong Bearish.
→ ✅ Volatility: Expanding.
→ ✅ Breakout Watch: Active → If it just flipped from contraction to expansion, this is often the start of the move.
→ → This is a high-conviction swing setup.
🔥 Swing Entry Example (Long):
→ Trend: Bullish
→ Slope: Rising
→ Momentum: Strong Bullish
→ Volatility: Expanding
→ Breakout Watch: Active (optional but ideal)
→ ✅ → Look for pullbacks to support zones, moving averages, or breaks of recent highs.
→ Entry → On pullback confirmation or breakout candle.
→ Stop → Below swing low / ATR stop.
→ TP → Based on Risk/Reward or prior highs.
🔥 Swing Entry Example (Short):
→ Trend: Bearish
→ Slope: Falling
→ Momentum: Strong Bearish
→ Volatility: Expanding
→ ✅ Ideal when price is breaking down from a squeeze or retesting failed support.
🚫 Avoid Trades When:
Trend is Neutral.
Slope is Flat.
Volatility is Contracting.
Momentum is Neutral.
→ These are chop conditions → low win rate → avoid.
🧠 Pro Tips:
📊 Combine it with structure: Use it with supply/demand, support/resistance zones, or liquidity levels.
⏳ Hold during expansions: As long as Volatility = Expanding, the move often continues.
🚩 Exit or tighten stops if: Volatility contracts and slope flattens → move may be done.
🔥 Breakout Watch Active: Means a squeeze just broke → often the start of large moves.
🏆 Bottom Line:
→ This tool isn’t about buy/sell signals.
→ It’s a market condition scanner that tells you:
“Is this a time to hunt aggressive swing trades or stand down?”
→ When all conditions align → You have a high-probability trade environment.
Multi-Confluence Swing Hunter V1# Multi-Confluence Swing Hunter V1 - Complete Description
Overview
The Multi-Confluence Swing Hunter V1 is a sophisticated low timeframe scalping strategy specifically optimized for MSTR (MicroStrategy) trading. This strategy employs a comprehensive point-based scoring system that combines optimized technical indicators, price action analysis, and reversal pattern recognition to generate precise trading signals on lower timeframes.
Performance Highlight:
In backtesting on MSTR 5-minute charts, this strategy has demonstrated over 200% profit performance, showcasing its effectiveness in capturing rapid price movements and volatility patterns unique to MicroStrategy's trading behavior.
The strategy's parameters have been fine-tuned for MSTR's unique volatility characteristics, though they can be optimized for other high-volatility instruments as well.
## Key Innovation & Originality
This strategy introduces a unique **dual scoring system** approach:
- **Entry Scoring**: Identifies swing bottoms using 13+ different technical criteria
- **Exit Scoring**: Identifies swing tops using inverse criteria for optimal exit timing
Unlike traditional strategies that rely on simple indicator crossovers, this system quantifies market conditions through a weighted scoring mechanism, providing objective, data-driven entry and exit decisions.
## Technical Foundation
### Optimized Indicator Parameters
The strategy utilizes extensively backtested parameters specifically optimized for MSTR's volatility patterns:
**MACD Configuration (3,10,3)**:
- Fast EMA: 3 periods (vs standard 12)
- Slow EMA: 10 periods (vs standard 26)
- Signal Line: 3 periods (vs standard 9)
- **Rationale**: These faster parameters provide earlier signal detection while maintaining reliability, particularly effective for MSTR's rapid price movements and high-frequency volatility
**RSI Configuration (21-period)**:
- Length: 21 periods (vs standard 14)
- Oversold: 30 level
- Extreme Oversold: 25 level
- **Rationale**: The 21-period RSI reduces false signals while still capturing oversold conditions effectively in MSTR's volatile environment
**Parameter Adaptability**: While optimized for MSTR, these parameters can be adjusted for other high-volatility instruments. Faster-moving stocks may benefit from even shorter MACD periods, while less volatile assets might require longer periods for optimal performance.
### Scoring System Methodology
**Entry Score Components (Minimum 13 points required)**:
1. **RSI Signals** (max 5 points):
- RSI < 30: +2 points
- RSI < 25: +2 points
- RSI turning up: +1 point
2. **MACD Signals** (max 8 points):
- MACD below zero: +1 point
- MACD turning up: +2 points
- MACD histogram improving: +2 points
- MACD bullish divergence: +3 points
3. **Price Action** (max 4 points):
- Long lower wick (>50%): +2 points
- Small body (<30%): +1 point
- Bullish close: +1 point
4. **Pattern Recognition** (max 8 points):
- RSI bullish divergence: +4 points
- Quick recovery pattern: +2 points
- Reversal confirmation: +4 points
**Exit Score Components (Minimum 13 points required)**:
Uses inverse criteria to identify swing tops with similar weighting system.
## Risk Management Features
### Position Sizing & Risk Control
- **Single Position Strategy**: 100% equity allocation per trade
- **No Overlapping Positions**: Ensures focused risk management
- **Configurable Risk/Reward**: Default 5:1 ratio optimized for volatile assets
### Stop Loss & Take Profit Logic
- **Dynamic Stop Loss**: Based on recent swing lows with configurable buffer
- **Risk-Based Take Profit**: Calculated using risk/reward ratio
- **Clean Exit Logic**: Prevents conflicting signals
## Default Settings Optimization
### Key Parameters (Optimized for MSTR/Bitcoin-style volatility):
- **Minimum Entry Score**: 13 (ensures high-conviction entries)
- **Minimum Exit Score**: 13 (prevents premature exits)
- **Risk/Reward Ratio**: 5.0 (accounts for volatility)
- **Lower Wick Threshold**: 50% (identifies true hammer patterns)
- **Divergence Lookback**: 8 bars (optimal for swing timeframes)
### Why These Defaults Work for MSTR:
1. **Higher Score Thresholds**: MSTR's volatility requires more confirmation
2. **5:1 Risk/Reward**: Compensates for wider stops needed in volatile markets
3. **Faster MACD**: Captures momentum shifts quickly in fast-moving stocks
4. **21-period RSI**: Reduces noise while maintaining sensitivity
## Visual Features
### Score Display System
- **Green Labels**: Entry scores ≥10 points (below bars)
- **Red Labels**: Exit scores ≥10 points (above bars)
- **Large Triangles**: Actual trade entries/exits
- **Small Triangles**: Reversal pattern confirmations
### Chart Cleanliness
- Indicators plotted in separate panes (MACD, RSI)
- TP/SL levels shown only during active positions
- Clear trade markers distinguish signals from actual trades
## Backtesting Specifications
### Realistic Trading Conditions
- **Commission**: 0.1% per trade
- **Slippage**: 3 points
- **Initial Capital**: $1,000
- **Account Type**: Cash (no margin)
### Sample Size Considerations
- Strategy designed for 100+ trade sample sizes
- Recommended timeframes: 4H, 1D for swing trading
- Optimal for trending/volatile markets
## Strategy Limitations & Considerations
### Market Conditions
- **Best Performance**: Trending markets with clear swings
- **Reduced Effectiveness**: Highly choppy, sideways markets
- **Volatility Dependency**: Optimized for moderate to high volatility assets
### Risk Warnings
- **High Allocation**: 100% position sizing increases risk
- **No Diversification**: Single position strategy
- **Backtesting Limitation**: Past performance doesn't guarantee future results
## Usage Guidelines
### Recommended Assets & Timeframes
- **Primary Target**: MSTR (MicroStrategy) - 5min to 15min timeframes
- **Secondary Targets**: High-volatility stocks (TSLA, NVDA, COIN, etc.)
- **Crypto Markets**: Bitcoin, Ethereum (with parameter adjustments)
- **Timeframe Optimization**: 1min-15min for scalping, 30min-1H for swing scalping
### Timeframe Recommendations
- **Primary Scalping**: 5-minute and 15-minute charts
- **Active Monitoring**: 1-minute for precise entries
- **Swing Scalping**: 30-minute to 1-hour timeframes
- **Avoid**: Sub-1-minute (excessive noise) and above 4-hour (reduces scalping opportunities)
## Technical Requirements
- **Pine Script Version**: v6
- **Overlay**: Yes (plots on price chart)
- **Additional Panes**: MACD and RSI indicators
- **Real-time Compatibility**: Confirmed bar signals only
## Customization Options
All parameters are fully customizable through inputs:
- Indicator lengths and levels
- Scoring thresholds
- Risk management settings
- Visual display preferences
- Date range filtering
## Conclusion
This scalping strategy represents a comprehensive approach to low timeframe trading that combines multiple technical analysis methods into a cohesive, quantified system specifically optimized for MSTR's unique volatility characteristics. The optimized parameters and scoring methodology provide a systematic way to identify high-probability scalping setups while managing risk effectively in fast-moving markets.
The strategy's strength lies in its objective, multi-criteria approach that removes emotional decision-making from scalping while maintaining the flexibility to adapt to different instruments through parameter optimization. While designed for MSTR, the underlying methodology can be fine-tuned for other high-volatility assets across various markets.
**Important Disclaimer**: This strategy is designed for experienced scalpers and is optimized for MSTR trading. The high-frequency nature of scalping involves significant risk. Past performance does not guarantee future results. Always conduct your own analysis, consider your risk tolerance, and be aware of commission/slippage costs that can significantly impact scalping profitability.
MABB55 Full-CrossIndicates when the MABB55 crosses the:
MABB13
MABB21
EMA8
When a full crossover happens, where the long-term average (MABB 55) moves above or below the faster ones (EMA 8, MABB 13, and 21) it means the trend has shifted so strongly and consistently that it overcomes short-term price movement. That kind of shift usually signals a trend reversal.
Bullish reversals with the MABB55 crossing from above, indicated by a green arrowl.
Bearish reversals with the MABB55 crossing from below, indicated by a red arrow.
ROGUE ICT PRORogue ICT PRO — Smart Money Confluence Tool
The Rogue ICT Buy/Sell indicator is a precision-built, multi-confirmation tool inspired by Inner Circle Trader (ICT) concepts. It identifies high-probability trade setups using market structure, fair value gaps, killzone sessions, and higher timeframe trend alignment.
✅ Core Features
🔹 Market Structure Shift (MSS)
Detects clean breaks of swing highs or lows, indicating potential trend continuation or reversal.
🔹 Fair Value Gap Detection (FVG)
Automatically highlights institutional imbalances — essential ICT confluence zones.
🔹 Smart Killzone Filtering
Signals only trigger during high-liquidity sessions:
Asian (19:00–22:00)
London (02:00–05:00)
New York (07:00–10:00)
Each session is color-highlighted on the chart.
🔹 HTF EMA Bias Filter
Only trades in the direction of the Higher Timeframe 50 EMA (e.g., 1H on 5M chart). This ensures entries align with institutional directional bias. I have default set to the Daily 9 EMA but can be changed to your preference.
🔹 ATR-Based Stop Loss & Take Profit Lines
SL is calculated using ATR × multiplier
TP is placed using a customizable Risk-Reward Ratio
Both levels are plotted on the chart with "SL" and "TP" labels.
🔹 Cooldown Logic
Prevents overtrading by requiring a minimum number of bars between each signal.
Volume Overbought/Oversold Zones📊 What You’ll See on the Chart
Red Background or Red Triangle ABOVE a Candle
🔺 Means: Overbought Volume
→ Volume on that bar is much higher than average (as defined by your settings).
→ Suggests strong activity, possible exhaustion in the trend or an emotional spike.
→ It’s a warning: consider watching for signs of reversal, especially if price is already stretched.
Green Background or Green Triangle BELOW a Candle
🔻 Means: Oversold Volume
→ Volume on that bar is much lower than normal.
→ Suggests the market may be losing momentum, or few sellers are left.
→ Could signal an upcoming reversal or recovery if confirmed by price action.
Orange Line Below the Candles (Volume Moving Average)
📈 Shows the "normal" average volume over the last X candles (default is 20).
→ Helps you visually compare each bar’s volume to the average.
Gray Columns (Actual Volume Bars)
📊 These are your regular volume bars — they rise and fall based on how active each candle is.
🔍 What This Indicator Does (In Simple Words)
This indicator looks at trading volume—which is how many shares/contracts were traded in a given period—and compares it to what's considered "normal" for recent history. When volume is unusually high or low, it highlights those moments on the chart.
It tells you:
• When volume is much higher than normal → market might be overheated or experiencing a buying/selling frenzy.
• When volume is much lower than normal → market might be quiet, potentially indicating lack of interest or indecision.
These conditions are marked visually, so you can instantly spot them.
💡 How It Helps You As a Trader
1. Spotting Exhaustion in Trends (Overbought Signals)
If a market is going up and suddenly volume spikes way above normal, it may mean:
• The move is getting crowded (lots of buyers are already in).
• A reversal or pullback could be near because smart money may be taking profits.
Trading idea: Wait for high-volume up bars, then look for price weakness to consider a short or exit.
2. Identifying Hidden Opportunities (Oversold Signals)
If price is falling but volume drops unusually low, it might mean:
• Panic is fading.
• Sellers are losing energy.
• A bounce or trend reversal could happen soon.
Trading idea: After a volume drop in a downtrend, watch for bullish price patterns or momentum shifts to consider a buy.
3. Confirming or Doubting Breakouts
Volume is critical for confirming breakouts:
• If price breaks a key level with strong volume, it's more likely to continue.
• A breakout without volume could be a fake-out.
This indicator highlights volume surges that can help you confirm such moves.
📈 How to Use It in Practice
• Combine it with candlestick patterns, support/resistance, or momentum indicators.
• Use the background colors or shapes as a visual cue to pause and analyze.
• Adjust the sensitivity to suit fast-moving markets (like crypto) or slow ones (like large-cap stocks).
Volatility Index Percentile Risk STOCK StrategyVolatility-Index Percentile Risk STOCK Strategy
──────────────────────────────────────────────
PURPOSE
• Go long equities only when implied volatility (from any VIX-style index) is in its quietest percentile band.
• Scale stop-loss distance automatically with live volatility so risk stays proportional across timeframes and market regimes.
HOW IT WORKS
1. Pull the closing price of a user-selected volatility index (default: CBOE VIX, Nasdaq VXN, etc.).
2. Compute its 1-year (252-bar) percentile.
– If percentile < “Enter” threshold → open / maintain long.
– If percentile > “Exit” threshold → flatten.
3. Set the stop-loss every bar at:
SL % = (current VIX value) ÷ Risk Divisor
(e.g., VIX = 20 and divisor = 57 → 0.35 % SL below entry).
This keeps risk tighter when volatility is high and looser when it’s calm.
USER INPUTS
• VIX-style Index — symbol of any volatility index
• Look-back — length for percentile (default 252)
• Enter Long < Percentile — calm-market trigger (default 15 %)
• Exit Long > Percentile — fear trigger (default 60 %)
• Risk Divisor (SL) — higher number = tighter stop; start with 57 on 30-min charts
• Show Debug Plots — optional visibility of percentile & SL%
RECOMMENDED BACK-TEST SETTINGS
• Timeframe: 30 min – Daily on liquid stocks/ETFs highly correlated to the chosen VIX.
• Initial capital: 100 000 | Order size: 10 % of equity
• Commission: 0.03 % | Slippage: 5 ticks
• Enable *Bar Magnifier* and *Fill on bar close* for realistic execution.
ADDITIONAL INFORMATION
• **Self-calibrating risk** – no static ATR or fixed %, adapts instantly to changing volatility.
• **Percentile filter** – regime-aware entry logic that avoids false calm periods signalled by raw VIX levels.
• **Timeframe-agnostic** – works from intraday to weekly; √T-style divisor lets you fine-tune stops quickly ,together with the percentiles and days length.
• Zero look-ahead.
CAVEATS
• Long-only; no built-in profit target. Add one if your plan requires fixed R:R exits.
• Works best on indices/stocks that move with the selected vol index.
• Back-test results are educational; past performance never guarantees future returns.
LICENSE & CREDITS
Released under the Mozilla Public License 2.0.
Inspired by academic research on volatility risk premia and mean-reversion.
DISCLAIMER
This script is for informational and educational purposes only. It is **not** financial advice. Use at your own risk.
FutureObitz Bank LevelsFutureObitz Bank Levels - Daily Structure & Trading Zones
"The Obitz Bank Levels indicator is a powerful tool designed to help traders identify key daily structural price levels. It automatically extracts the 1 hour and 4 hour High and 1 hour and 4 hour Low. You may also use this indicator for lower timeframes aswell. Going lower than 15 min is not recommended.
What This Indicator Provides:
Dynamic Daily Levels: Calculates and plots the Daily High, Daily Low, Middle, Middle High, and Middle Low of the current trading day. These lines provide clear reference points for price action.
Defined Buy & Sell Zones: Visualizes potential accumulation (Buy Zone) and distribution (Sell Zone) areas. These zones are calculated as a customizable percentage (via inputs) above/below the 'Middle' of the daily range, helping to identify potential entry or exit points.
Multi-Timeframe Compatibility: Displays the exact same daily levels regardless of your active chart's timeframe, offering a consistent higher-timeframe perspective for intraday traders.
Visual Clarity: Includes filled zones for better visualization of the Buy and Sell areas.
Optional Labels: Provides clear labels for the latest daily levels (D. High, D. Low, D. Middle, D. Buy Zone, D. Sell Zone) on the last bar of your chart for quick reference.
This indicator serves as a robust framework for understanding daily market structure and can assist in identifying potential areas of support, resistance, and trading opportunities. It's an excellent tool for traders who rely on clear, higher-timeframe levels to inform their trading decisions.
-FutureObitz
Saty ATR Levels// Saty ATR Levels
// Copyright (C) 2022 Saty Mahajan
// Author is not responsible for your trading using this script.
// Data provided in this script is not financial advice.
//
// Features:
// - Day, Multiday, Swing, Position, Long-term, Keltner trading modes
// - Range against ATR for each period
// - Put and call trigger idea levels
// - Intermediate levels
// - Full-range levels
// - Extension levels
// - Trend label based on the 8-21-34 Pivot Ribbon
//
// Special thanks to Gabriel Viana.
// Based on my own ideas and ideas from Ripster, drippy2hard,
// Adam Sliver, and others.
//@version=5
indicator('Saty ATR Levels', shorttitle='Saty ATR Levels', overlay=true)
// Options
day_trading = 'Day'
multiday_trading = 'Multiday'
swing_trading = 'Swing'
position_trading = 'Position'
longterm_trading = 'Long-term'
trading_type = input.string(day_trading, 'Trading Type', options= )
use_options_labels = input(true, 'Use Options Labels')
atr_length = input(14, 'ATR Length')
trigger_percentage = input(0.236, 'Trigger Percentage')
previous_close_level_color = input(color.white, 'Previous Close Level Color')
lower_trigger_level_color = input(color.yellow, 'Lower Trigger Level Color')
upper_trigger_level_color = input(color.aqua, 'Upper Trigger Level Color')
key_target_level_color = input(color.silver, 'Key Target Level Color')
atr_target_level_color = input(color.white, 'ATR Target Level Color')
intermediate_target_level_color = input(color.gray, 'Intermediate Target Level Color')
show_all_fibonacci_levels = input(true, 'Show All Fibonacci Levels')
show_extensions = input(false, 'Show Extensions')
level_size = input(2, 'Level Size')
show_info = input(true, 'Show Info Label')
use_current_close = input(false, 'Use Current Close')
fast_ema = input(8, 'Fast EMA')
pivot_ema = input(21, 'Pivot EMA')
slow_ema = input(34, 'Slow EMA')
// Set the appropriate timeframe based on trading mode
timeframe_func() =>
timeframe = 'D'
if trading_type == day_trading
timeframe := 'D'
else if trading_type == multiday_trading
timeframe := 'W'
else if trading_type == swing_trading
timeframe := 'M'
else if trading_type == position_trading
timeframe := '3M'
else if trading_type == longterm_trading
timeframe := '12M'
else
timeframe := 'D'
// Trend
price = close
fast_ema_value = ta.ema(price, fast_ema)
pivot_ema_value = ta.ema(price, pivot_ema)
slow_ema_value = ta.ema(price, slow_ema)
bullish = price >= fast_ema_value and fast_ema_value >= pivot_ema_value and pivot_ema_value >= slow_ema_value
bearish = price <= fast_ema_value and fast_ema_value <= pivot_ema_value and pivot_ema_value <= slow_ema_value
// Data
period_index = use_current_close ? 0 : 1
ticker = ticker.new(syminfo.prefix, syminfo.ticker, session=session.extended)
previous_close = request.security(ticker, timeframe_func(), close , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_on)
atr = request.security(ticker, timeframe_func(), ta.atr(atr_length) , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_on)
period_high = request.security(ticker, timeframe_func(), high, gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_on)
period_low = request.security(ticker, timeframe_func(), low, gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_on)
range_1 = period_high - period_low
tr_percent_of_atr = range_1 / atr * 100
lower_trigger = previous_close - trigger_percentage * atr
upper_trigger = previous_close + trigger_percentage * atr
lower_0382 = previous_close - atr * 0.382
upper_0382 = previous_close + atr * 0.382
lower_0500 = previous_close - atr * 0.5
upper_0500 = previous_close + atr * 0.5
lower_0618 = previous_close - atr * 0.618
upper_0618 = previous_close + atr * 0.618
lower_0786 = previous_close - atr * 0.786
upper_0786 = previous_close + atr * 0.786
lower_1000 = previous_close - atr
upper_1000 = previous_close + atr
lower_1236 = lower_1000 - atr * 0.236
upper_1236 = upper_1000 + atr * 0.236
lower_1382 = lower_1000 - atr * 0.382
upper_1382 = upper_1000 + atr * 0.382
lower_1500 = lower_1000 - atr * 0.5
upper_1500 = upper_1000 + atr * 0.5
lower_1618 = lower_1000 - atr * 0.618
upper_1618 = upper_1000 + atr * 0.618
lower_1786 = lower_1000 - atr * 0.786
upper_1786 = upper_1000 + atr * 0.786
lower_2000 = lower_1000 - atr
upper_2000 = upper_1000 + atr
lower_2236 = lower_2000 - atr * 0.236
upper_2236 = upper_2000 + atr * 0.236
lower_2382 = lower_2000 - atr * 0.382
upper_2382 = upper_2000 + atr * 0.382
lower_2500 = lower_2000 - atr * 0.5
upper_2500 = upper_2000 + atr * 0.5
lower_2618 = lower_2000 - atr * 0.618
upper_2618 = upper_2000 + atr * 0.618
lower_2786 = lower_2000 - atr * 0.786
upper_2786 = upper_2000 + atr * 0.786
lower_3000 = lower_2000 - atr
upper_3000 = upper_2000 + atr
// Add Labels
tr_vs_atr_color = color.green
if tr_percent_of_atr <= 70
tr_vs_atr_color := color.green
else if tr_percent_of_atr >= 90
tr_vs_atr_color := color.red
else
tr_vs_atr_color := color.orange
trading_mode = 'Day'
if trading_type == day_trading
trading_mode := 'Day'
else if trading_type == multiday_trading
trading_mode := 'Multiday'
else if trading_type == swing_trading
trading_mode := 'Swing'
else if trading_type == position_trading
trading_mode := 'Position'
else if trading_type == longterm_trading
trading_mode := 'Long-term'
else
trading_mode := ''
long_label = ''
short_label = ''
if use_options_labels
long_label := 'Calls'
short_label := 'Puts'
else
long_label := 'Long'
short_label := 'Short'
trend_color = color.orange
if bullish
trend_color := color.green
else if bearish
trend_color := color.red
else
trend_color := color.orange
var tbl = table.new(position.top_right, 1, 4)
if barstate.islast and show_info
table.cell(tbl, 0, 0, 'Saty ATR Levels', bgcolor=trend_color)
table.cell(tbl, 0, 1, trading_mode + ' Range ($' + str.tostring(range_1, '#.##') + ') is ' + str.tostring(tr_percent_of_atr, '#.#') + '% of ATR ($' + str.tostring(atr, '#.##') + ')', bgcolor=tr_vs_atr_color)
table.cell(tbl, 0, 2, long_label + ' > $' + str.tostring(upper_trigger, '#.##') + ' | +1 ATR $' + str.tostring(upper_1000, '#.##'), bgcolor=upper_trigger_level_color)
table.cell(tbl, 0, 3, short_label + ' < $' + str.tostring(lower_trigger, '#.##') + ' | -1 ATR: $' + str.tostring(lower_1000, '#.##'), bgcolor=lower_trigger_level_color)
// Add levels
plot(show_extensions ? lower_3000 : na, color=color.new(atr_target_level_color, 40), linewidth=level_size, title='-300.0%', style=plot.style_stepline)
//plot(show_all_fibonacci_levels and show_extensions ? lower_2786 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-278.6%', style=plot.style_stepline)
plot(show_extensions ? lower_2618 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='-261.8%', style=plot.style_stepline)
//plot(show_all_fibonacci_levels and show_extensions ? lower_2500 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-250.0%', style=plot.style_stepline)
//plot(show_all_fibonacci_levels and show_extensions ? lower_2382 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-238.2%', style=plot.style_stepline)
plot(show_extensions ? lower_2236 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='-223.6%', style=plot.style_stepline)
plot(show_extensions ? lower_2000 : na, color=color.new(atr_target_level_color, 40), linewidth=level_size, title='-200.0%', style=plot.style_stepline)
plot(show_all_fibonacci_levels and show_extensions ? lower_1786 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-178.6%', style=plot.style_stepline)
plot(show_extensions ? lower_1618 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='-161.8%', style=plot.style_stepline)
plot(show_all_fibonacci_levels and show_extensions ? lower_1500 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-150.0%', style=plot.style_stepline)
plot(show_all_fibonacci_levels and show_extensions ? lower_1382 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-138.2%', style=plot.style_stepline)
plot(show_extensions ? lower_1236 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='-123.6%', style=plot.style_stepline)
plot(lower_1000, color=color.new(atr_target_level_color, 40), linewidth=level_size, title='-100%', style=plot.style_stepline)
plot(show_all_fibonacci_levels ? lower_0786 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-78.6%', style=plot.style_stepline)
plot(lower_0618, color=color.new(key_target_level_color, 40), linewidth=level_size, title='-61.8%', style=plot.style_stepline)
plot(show_all_fibonacci_levels ? lower_0500 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-50.0%', style=plot.style_stepline)
plot(show_all_fibonacci_levels ? lower_0382 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='-38.2%', style=plot.style_stepline)
plot(lower_trigger, color=color.new(lower_trigger_level_color, 40), linewidth=level_size, title='Lower Trigger', style=plot.style_stepline)
plot(previous_close, color=color.new(previous_close_level_color, 40), linewidth=level_size, title='Previous Close', style=plot.style_stepline)
plot(upper_trigger, color=color.new(upper_trigger_level_color, 40), linewidth=level_size, title='Upper Trigger', style=plot.style_stepline)
plot(show_all_fibonacci_levels ? upper_0382 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='38.2%', style=plot.style_stepline)
plot(show_all_fibonacci_levels ? upper_0500 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='50.0%', style=plot.style_stepline)
plot(upper_0618, color=color.new(key_target_level_color, 40), linewidth=level_size, title='61.8%', style=plot.style_stepline)
plot(show_all_fibonacci_levels ? upper_0786 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='78.6%', style=plot.style_stepline)
plot(upper_1000, color=color.new(atr_target_level_color, 40), linewidth=level_size, title='100%', style=plot.style_stepline)
plot(show_extensions ? upper_1236 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='123.6%', style=plot.style_stepline)
plot(show_all_fibonacci_levels and show_extensions ? upper_1382 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='138.2%', style=plot.style_stepline)
plot(show_all_fibonacci_levels and show_extensions ? upper_1500 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='150.0%', style=plot.style_stepline)
plot(show_extensions ? upper_1618 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='161.8%', style=plot.style_stepline)
plot(show_all_fibonacci_levels and show_extensions ? upper_1786 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='178.6%', style=plot.style_stepline)
plot(show_extensions ? upper_2000 : na, color=color.new(atr_target_level_color, 40), linewidth=level_size, title='200.0%', style=plot.style_stepline)
plot(show_extensions ? upper_2236 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='223.6%', style=plot.style_stepline)
//plot(show_all_fibonacci_levels and show_extensions ? upper_2382 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='238.2%', style=plot.style_stepline)
//plot(show_all_fibonacci_levels and show_extensions ? upper_2500 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='250.0%', style=plot.style_stepline)
plot(show_extensions ? upper_2618 : na, color=color.new(key_target_level_color, 40), linewidth=level_size, title='261.8%', style=plot.style_stepline)
//plot(show_all_fibonacci_levels and show_extensions ? upper_2786 : na, color=color.new(intermediate_target_level_color, 40), linewidth=level_size, title='278.6%', style=plot.style_stepline)
plot(show_extensions ? upper_3000 : na, color=color.new(atr_target_level_color, 40), linewidth=level_size, title='300%', style=plot.style_stepline)
Doji Candlestick w/ Volatility & Uninterrupted CyclesTracks Doji formation and provides a rating score of Low Medium and High for stocks.
🟢 Clean BUY/SELL Signal (All Filters Hidden)fgchavsbmn,cakhscb kals dcaljks cjas ckjasclkasnd.ask dfhg asdhj askgd hjaksdmvhagsbjdkn abs dnljasd
EMAs y señales🧠 What does the script do?
It draws the 9-period SMA (blue) and the 21-period SMA (orange).
It generates labels:
✅ “Buy” when the 9 SMA crosses above the 21 SMA.
❌ “Sell” when the 9 SMA crosses below the 21 SMA.
It triggers configurable alerts whenever a crossover occurs.
Bread Recipe EMAsJust 3 EMA's defaults to 3, 13, and 50. Based on Stock Moe's Bread Recipe. It doesn't follow the RSI or any volume indicators
lucio_RCI6Displaying 6 RCIs
Long-term RCIs are shown in green, and short-term RCIs are shown in white.
Alerts can be added based on a short period of time.
lucio_😎必勝StrategyThe reversal after the RCI reaches the upper and lower bounds is used as the trigger for entry and settlement.
In order to follow the trend, record the highs and lows of the last 4 hours (adjustable) and aim for long above the center line and short below the center line.
MACD divergence alerts and plots are possible.
SMA (15m.1h.4h) tilted and colored, default display.
In the case of margin trading, it is possible to display a table showing whether there is a bias toward long or short lots for margin with the above high and low as the settlement line.
Market Structure by HorizonAIThis indicator shows market structure with BOS and CHoCH, also Order block and FVG.
8 SMA Cross 200 SMACatch big moves, this ensures the direction of the stock price will either go up or down depending whether the 8 sma crosses above or below the 200 sma
Bar Color2. indicator("Bar Color", overlay=true) "Bar Color" is the name of the script that will appear on your chart. overlay=true means this script will be drawn directly on the price chart (not in a separate pane). 3. ma = ta.sma(close, 10) This calculates a Simple Moving Average (SMA) of the closing prices over the last 10 bars (candles). ta.sma() is the built-in function for SMA in Pine Script v5. 4. barcolor(close > ma ? color.green : color.red) This line colors each candle/bar: Green if the current close is above the 10-period moving average. Red if the close is below or equal to the moving average. barcolor() changes the bar color but doesn’t plot anything visually on top of the candles — it only recolors them.
Closed Market / Back-Test Filter x 'Bull_Trap_9'Hello TradingView Traders!
This is a very valuable tool that I believe all traders will find useful.
This indicator / filter is '1 of 2'. I prefer it as a filter because it is not meant for live trade analysis. It is designed to make a trader aware of their individual trade sessions and to help aid in static chart candlestick back-testing.
Also, look for my indicator / filter, '2 of 2': 'Red Report Filter'
There are two functions to this filter.
Primary use: It allows a trader to set a session window: Open / Close.
During a trade session, like YM, I only trade 9:30 - 15:00. Without the filter, many times I have traded past my cutoff because I was focused on the chart and not the time.
With this filter on as close nears with an open trade and the filter starts to apply, I know I am at session close with no more trades upon exit. Otherwise, I know the session is done with no further trades.
It is also nice to have the filter on during the session open as a demarcation boundary.
Secondary use: It is used as a chart back-test tool.
When applied to a traders back-test chart, the trader can control their trade session envelopes for easier and more precise evaluation. The filter will allow only the candles per session that the trader wants to focus on and will filter all other non-session candles.
I can easily compare a whole week of 30m session data, concentrating solely on the filtered trade windows.
Please Note: The filter will be active as far back as the historic data prints.
Thanks for viewing!
