Market Generated InformationCredits
Original Author: mcthatsme
Remixed to add in London's High and Low
Overview
The Market Generated Information (MGI Levels v2) is a comprehensive technical analysis. It overlays key price levels from daily, weekly, and monthly timeframes on a chart, providing traders with critical market reference points such as Open, High, Low, Close, Volume Weighted Average Price (VWAP), and standard deviation bands. These levels help traders identify potential support, resistance, and pivot points for intraday and longer-term trading strategies. The indicator is highly customizable, allowing users to tailor the displayed levels, colors, line styles, and label settings to their preferences.
Features
Multi-Timeframe Levels: Displays key price levels from daily, weekly, and monthly sessions, including Open, High, Low, Close, VWAP, and VWAP standard deviation bands (SD1, SD2, SD3).
Session-Based Calculations: Supports Regular Trading Hours (RTH) and Extended Trading Hours (ETH) for stocks and futures, with specific session times for New York, London, and overnight sessions.
Customizable Display: Users can toggle the visibility of specific levels, adjust line styles (solid, dashed, dotted), colors, thicknesses, and label settings (size, offset, and price inclusion).
Opening Range and Initial Balance: Plots the Opening Range (default: 9:30–10:00 AM EST) and Initial Balance (default: 9:30–10:30 AM EST) for intraday traders.
Tested Level Tracking: Optionally tracks untested or tested levels, hiding or showing them based on user preferences.
Overnight and T+2 Levels: Includes overnight high/low and T+2 (two days prior) levels for additional context.
VWAP Calculations: Computes VWAP and its standard deviation bands for daily, weekly, and monthly periods.
Holiday and Session Filters: Adjusts for market-specific conditions, such as Good Friday or shortened trading sessions.
Inputs and Customization
The indicator is organized into three main groups: Daily Levels, Weekly Levels, and Monthly Levels. Each group allows users to configure the following:
Visibility: Toggle whether to show levels (e.g., Show Daily Levels, Show Weekly Levels).
Session Times: Define session ranges (e.g., New York RTH: 9:30 AM–4:00 PM EST, Opening Range: 9:30–10:00 AM EST).
Line and Label Settings: Customize line colors, styles (solid, dashed, dotted), thickness, label text size (Tiny, Small, Normal, Large, Huge), label offset, and whether to include price values in labels.
Number of Periods: Specify how many previous days (1–40), weeks (1–20), or months (1–12) to display.
Tested/Untested Levels: Choose to keep untested levels or show tested levels (Open, High, Low, Close).
Timeframe for Calculations: Option to use a 30-second or 1-minute timeframe for Opening Range and Initial Balance calculations to accommodate different TradingView plans.
Key Levels
Daily Levels: Includes Current Day High/Low, Previous Day High/Low, Opening Range High/Mid/Low, Initial Balance High/Mid/Low, Globex Open, RTH Open, Midnight Open, London Open/Close/High/Low, Previous Day 50% (HL2/OC2), T+2 Open/Close/High/Low, Overnight High/Low, RTH Close, 5 PM Close, and VWAP with standard deviation bands.
Weekly Levels: Previous Week High/Low, 50% (HL2/OC2), Current Week Open, Previous Week Close, and VWAP with standard deviation bands.
Monthly Levels: Previous Month High/Low, 50% (HL2/OC2), Current Month Open, Previous Month Close, and VWAP with standard deviation bands.
Troubleshooting
Levels Not Displaying: Check if the timeframe is ≤ 30 minutes for daily levels and ensure session times are correct for your market.
Incorrect Prices: Verify that extended hours are enabled for ETH charts or disabled for RTH-only charts.
Too Many Lines/Labels: Reduce the number of previous days/weeks/months or disable unneeded levels.
Session Errors: Ensure session times are in UTC-5 (New York time) and match your asset’s trading hours.
License
This script is licensed under the Mozilla Public License 2.0. See mozilla.org for details.
Göstergeler ve stratejiler
Liquidity Sweep Strategy v2 - Fixed Close LabelsThe Liquidity Sweep Strategy v2 is designed to detect stop-loss hunting behavior, commonly seen in institutional trading. It capitalizes on false breakouts beyond recent swing highs or lows (liquidity zones), which are followed by sharp reversals.
This strategy is particularly effective during high-volume liquidity grabs when markets trigger stop-loss clusters and then reverse direction — a phenomenon often referred to as a liquidity sweep or stop hunt
Multi-Timeframe EMA Overlay [Smoothed Approximation]in.tradingview.com This indicator displays Exponential Moving Averages (EMAs) from multiple timeframes (5m, 15m, 1H, 4H, 1D) on a single chart, regardless of your current timeframe.
HOW IT WORKS
You choose a base EMA length (e.g., 20).
The script calculates equivalent lengths for other timeframes (e.g., for a 1H EMA while on a 1-minute chart: 20 × 60 = 1200 length).
These adjusted EMAs are then computed and plotted — giving a continuous, smooth curve rather than a stepped line.
KEY FEATURES
🟪 5m, 🟦 15m, 🟩 1H, 🟧 4H, 🟥 1D EMAs.
🧠 Smooth approximation — good for visual trend tracking without step lag.
🎛️ Toggle visibility for each timeframe EMA independently.
📈 Uses
Trend Confirmation:
Aligning short-term trades with higher timeframe trends (e.g., go long only when 15m & 1H EMAs are trending up).
Confluence Zones:
Price action near multiple EMA levels from different timeframes can indicate strong support/resistance zones.
Entry Filters:
Avoid trades against dominant higher timeframe trends.
Example: On a 5m chart, only go long if price > 1H EMA.
Reversal Watch:
EMA convergence or crossovers across timeframes can signal potential trend shifts.
TJR's BOS strategy 2.0 (improved version)BOS STRATEGY for the break of structures in an uptrend or a downtrend. used well for identifying wether or not strucutre has been broken to th upside or downside
PE Bands w/ Persistent EPS ProxyThis Pine Script is a valuation overlay for any stock or index, built around the idea of tracking and projecting P/E (Price-to-Earnings) multiple bands using trailing EPS and a growth assumption. Here's a full breakdown:
🔍 Purpose:
To visualize price bands based on valuation multiples (like 16x, 18x, 20x, etc.) of forward EPS, estimated from actual reported EPS over the last 4 quarters.
🧱 Core Components:
✅ @version=6
Specifies the latest Pine Script version (v6), ensuring compatibility with the newest syntax.
✅ indicator(...)
Declares a chart overlay indicator titled 'PE Bands w/ Persistent EPS Proxy', meaning the plots will appear on top of the price chart.
1. 📈 Growth Assumption Input
pinescript
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Growth = input.float(1.08, 'Growth')
User input for projected forward EPS growth (default: +8%). This models earnings growth from trailing 12 months to forward 12 months.
2. 🧮 Retrieve EPS Data
pinescript
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epsRaw = request.earnings(syminfo.tickerid, earnings.actual, gaps = barmerge.gaps_off)
Uses the built-in request.earnings() function to fetch actual EPS.
Works with any symbol that supports earnings data.
barmerge.gaps_off ensures EPS only shows on report bars (not filled in between).
3. 🧠 Persistent Memory for Last 4 EPS Values
pinescript
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var float eps1 = na
...
if not na(epsRaw)
eps4 := eps3
eps3 := eps2
eps2 := eps1
eps1 := epsRaw
Implements a shift register: keeps track of the last 4 quarterly EPS values, so it can compute a full TTM (trailing 12-month) EPS even though epsRaw only updates quarterly.
4. 📊 Trailing 12-Month EPS
pinescript
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epsTTM = na(eps1) or na(eps2) or na(eps3) or na(eps4) ? na : eps1 + eps2 + eps3 + eps4
Sums the most recent 4 quarters to get a TTM earnings proxy.
If any value is still na, the result is na.
5. 🔮 Forward EPS Estimation
pinescript
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fwdEPS = epsTTM * Growth
Projects forward EPS using a growth multiplier (1.08 = +8%).
You could customize this to vary over time (e.g., macro-modelled growth).
6. 📐 Valuation Bands
pinescript
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pe16 = fwdEPS * 16
...
pe24 = fwdEPS * 24
Calculates price levels the stock/index would be trading at under different valuation multiples of forward EPS.
These become bands: 16x, 18x, 20x, etc.
7. 📉 Plot Bands
pinescript
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plot(pe16, ...)
...
plot(pe24, ...)
Draws horizontal or sloped bands that reflect valuation ranges.
If SPX is above the 22x or 24x band, you might consider the market overvalued.
If it’s near 16x, potentially undervalued (depending on forward EPS quality).
✅ Summary:
This is a dynamic, earnings-based valuation overlay for use on equity or index charts. It uses:
Real EPS data (as it gets reported)
Persistent memory to calculate trailing 12M EPS
Growth modeling to estimate forward EPS
Price targets for different forward P/E multiples
CNCRADIO talked GPT into Watching the YouTube!Referred GPT to the youtube channel and produced PINE script with no errors first try, followed some prompts and this is the result.
MFI Candles MTF TableMFI Candles + Multi-Timeframe Table | by julzALGO
This open-source script visualizes the Money Flow Index (MFI) in a new format — as candles instead of a traditional oscillator line. It provides a clean, volume-driven view of momentum and pressure, ideal for traders seeking more actionable and visual cues than a typical MFI plot.
What Makes It Unique:
• Plots "MFI Candles" — synthetic candles based on smoothed MFI values using a selected timeframe (default: 1D), giving a new way to read volume flow.
• Candles reflect momentum: green if MFI rises, red if it falls.
• Background turns red when MFI is overbought (≥ 80) or green when oversold (≤ 20).
Multi-Timeframe Strength Table:
• Displays MFI values from 15m, 1h, 4h, and 1D timeframes — all in one dashboard.
• Color-coded for quick recognition: 🔴 Overbought, 🟢 Oversold.
• Values are smoothed with linear regression for better clarity.
Custom Settings:
• MFI calculation length
• Smoothing factor
• Candle source timeframe
• Toggle table and OB/OS background
How to Use:
- Use MFI Candles to monitor momentum shifts based on money flow.
- Use the Multi-Timeframe Table to identify when multiple timeframes align — helpful for timing entries and exits.
- Watch the background for extreme conditions (OB/OS) that may signal upcoming reversals or pressure exhaustion.
Happy Trading!
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
Ichimoku + RSI + VWMA Strategy Suite (w/ ATR SLTP)Ichimoku + RSI + VWMA indikatörleri kullanılarak üretilen seçmeli stratejiler.
Annualized Historical VolatilityAnnualized, realized vol calculated as
hv = std_dev(log returns) x sqrt(trading periods)
Fair Value Gap (FVG) Detector — ICT SMC BasedThis is an open-source Fair Value Gap (FVG) indicator, based on the principles taught in ICT (Inner Circle Trader) and Smart Money Concepts (SMC). It identifies imbalances or inefficiencies in price action where the body/wick of the middle candle in a three-candle formation does not overlap with the first and third candles.
🔹 What is an FVG?
An FVG is formed when there is a price imbalance, typically between three consecutive candles:
A bullish FVG forms when the low of candle 1 is above the high of candle 3.
A bearish FVG forms when the high of candle 1 is below the low of candle 3.
These gaps are believed to represent areas of institutional activity and are often used as potential entries, targets, or reaction zones.
🔹 Features:
Detects both bullish and bearish FVGs
Clean chart visuals using colored boxes
Adjustable box opacity and text alignment
Option to show or hide filled FVGs
Optional filter to only display gaps above a minimum size (e.g., 100 points)
Multi-timeframe support (if enabled in script settings)
Box label customization (text alignment: center/left/right)
🔹 How to Use:
Use the indicator on any timeframe or instrument
Larger gaps may indicate stronger price inefficiencies
Combine with market structure, liquidity zones, or order blocks for confirmation
This version is open-source, so traders can view and adapt the logic as needed.
The indicator is designed for transparency, education, and clarity of Smart Money Concepts.
SMA3 / EMA10 + MACD (9-10pm COL) | SL 10 pips, TP 10 pipsmedias movil de 3 periodos mas una ema de 10 + macd cruces, el tp y sl no se usan de la estrategia se usa minimo o maximo q marque el zigzag de 6 periodos.
3-period simple moving average plus a 10-period EMA and MACD crossovers. Take profit and stop loss are not fixed; instead, they are based on the most recent low or high marked by a 6-period ZigZag indicator."
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.
Position Trading Strategy - EMA + FVGMulti-Timeframe Momentum & Pattern Recognition System
This comprehensive trading indicator combines multiple technical analysis components to identify high-probability entry and exit signals for Bitcoin and other assets. The system utilizes:
LuxAlgo Fair Value Gap Detection - Identifies institutional order flow imbalances
Hull Suite & MACD Integration - Confirms trend direction and momentum shifts
Pyramid Scoring System - Ranks signal strength using multiple confluences
Smart Position Management - Provides clear long/short entry and exit alerts
Visual Market Structure - Displays key support/resistance levels and gap zones
The indicator generates scored signals based on the alignment of trend, momentum, and market structure, helping traders identify optimal entry points while managing risk through systematic exit conditions. Perfect for swing trading and scalping strategies on multiple timeframes.
Best Used For: BTC/USD, major forex pairs, and liquid cryptocurrency markets
Recommended Timeframes: 5M, 15M, 1H for optimal signal accuracy
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.
TMNT3 [v5, Code Copilot] with PyramidCore Principles
Trend-Following Breakouts
Enters on clean price breakouts above the prior N-day high (System 1: 20 days; System 2: 55 days).
Exits on reversals through the prior M-day low (System 1: 10 days; System 2: 20 days).
Volatility-Based Stops
Uses the Average True Range (ATR) to set a dynamic stop-loss at
Stop = Entry Price ± (ATR×Multiplier)
Stop= Entry Price-(ATR×Multiplier)
Adapts to changing market noise—wider stops in volatile conditions, tighter in calm markets.
System 1 vs. System 2 Toggle
System 1 (20/10) for shorter, faster swing opportunities.
System 2 (55/20) for catching longer, more powerful trends.
Pyramiding into Winners
Scales into a position in fixed “units” (each risking a constant % of equity).
Adds an extra unit each time price extends by a set fraction of ATR (default 0.5× ATR), up to a configurable maximum (default 5 units).
Only increases exposure when the trend proves itself—managing risk while maximizing returns.
Strict Risk Management
Each unit carries its own ATR-based stop, ensuring no single leg blows out the account.
Default risk per unit is a small, fixed percentage of total equity (e.g. 1% per unit).
Visual Aids & Confirmation
Overlaid entry/exit channels and trend/exit lines for immediate context.
Optional on-chart labels and background shading to highlight active trade regimes.
Why It Works
Objectivity & Discipline: Rules-based entries, exits, and sizing remove emotional guesswork.
Adaptive to Market Conditions: ATR stops and pyramiding adapt to both calm and turbulent phases.
Scalable: Toggle between short and long breakout horizons to suit different assets or timeframes.
volatility-adjusted breakout envelopethis indicator is designed to help traders visually identify potential entry and exit points based on volatility-adjusted price thresholds. it works by calculating a dynamic expected price move around the previous close using historical volatility data smoothed by exponential moving averages to reduce noise and present a clear range boundary on the chart.
the indicator first computes the logarithmic returns over a user-defined lookback period and calculates the standard deviation of these returns, which represents raw volatility. it annualizes this volatility according to the chart timeframe selected, then uses it to estimate an expected price movement for the current timeframe. this expected move is smoothed to avoid sudden spikes or drops that could cause confusing signals.
using this expected move, the indicator generates two key threshold lines: an upper threshold and a lower threshold. these lines create a volatility-based range around the smoothed previous close price. the thresholds themselves are further smoothed with exponential moving averages to produce smooth, easy-to-interpret lines that adapt to changing market conditions without being choppy.
the core trading signals are generated when the price closes outside of these smoothed threshold ranges. specifically, a long entry signal is indicated when the price closes above the upper threshold for the first time, signaling potential upward momentum beyond normal volatility expectations. a short entry signal occurs when the price closes below the lower threshold for the first time, indicating potential downward momentum.
once an entry signal is triggered, the indicator waits for the price to close back inside the threshold range before signaling an exit. when this occurs, an exit marker is displayed to indicate that the price has returned within normal volatility bounds, which may suggest that the previous trend is losing strength or the breakout has ended.
these signals are visually represented on the chart using small shapes: triangles pointing upwards mark the initial long entries, triangles pointing downwards mark short entries, and x shapes mark the exits for both long and short positions. the colors of these shapes are customizable to suit user preferences.
to use this indicator effectively, traders should watch for the first close outside the smoothed volatility range to consider entering a position in the breakout direction. the exit signals help identify when price action reverts back into the expected range, which can be used to close or reduce the position. this method emphasizes trading breakouts supported by statistically significant moves relative to recent volatility while providing a clear exit discipline.
this indicator is best applied to intraday or daily charts with consistent volatility and volume characteristics. users should adjust the volatility lookback period, smoothing factor, and trading session times to match their specific market and trading style. because it relies on price volatility rather than fixed price levels, it can adapt to changing market conditions but should be combined with other analysis tools and proper risk management.
overall, this indicator provides a smoothed, dynamic volatility envelope with clear visual entry and exit cues based on first closes outside and back inside these envelopes, making it a helpful assistant for manual traders seeking to capture statistically significant breakouts while maintaining disciplined exits.
Camarilla Pivot LevelsThis script plots Camarilla Pivot Levels directly on your chart, helping you visualize key intraday support and resistance zones based on the prior day’s high, low, and close.
📌 Features:
Auto-plots R1–R6, S1–S6, and the Pivot Point (PP).
Clear color-coded support/resistance lines with labels.
Built for day traders using Camarilla formulas.
Pulls data from the prior day's values on the daily timeframe.
📈 How I Use It (My Strategy):
Each morning:
I draw a manual box around the key pivot levels (R1–R6 / S1–S6) — 1 point above and 1 point below each line.
I look for:
✅ A green candle wick into a lower box (S-levels) → I go long, take profit at the next higher box, stop loss at the bottom box.
🔻 A red candle wick into an upper box (R-levels) → I go short, take profit at the next lower box, stop loss at the top box.
Entry is only valid if the wick touches or enters the box — not if it breaks clean through.
🖼️ See the attached chart image for a live example of the strategy in action.
BTC/Fiat Divergence & Spread Monitor📄 BTC/Fiat Divergence & Spread Monitor
This indicator visualizes Bitcoin’s relative performance across multiple fiat currencies and highlights periods of unusual divergence. It helps traders assess which fiat pairs BTC has outperformed or underperformed over a configurable lookback period and monitor the dynamic spread between the strongest and weakest pairs.
Features:
Relative Performance Matrix:
Ranks BTC returns in 6 fiat pairs, displaying a color-coded table of percentage changes and ranks.
Divergence Spread Oscillator:
Calculates the spread between the top and bottom performing pairs and normalizes this using a Z-Score. The oscillator helps identify when fiat pricing divergence is unusually high or compressed.
Dynamic Smoothing:
Optional Hull Moving Average smoothing to reduce noise in the spread signal.
Customizable Inputs:
Lookback period for percent change.
Z-Score normalization window.
Smoothing length.
Symbol selection for each fiat pair.
Visual Mode Toggle:
Switch between relative performance lines and spread oscillator view.
Potential Use Cases:
Fiat Rotation:
Identify which fiat is relatively weak or strong to optimize your exit currency when taking BTC profits.
Volatility Detection:
Use the spread Z-Score to detect periods of high divergence across fiat pairs, signaling macro FX volatility or dislocations.
Regime Analysis:
Track when fiat spreads are converging or expanding, potentially signaling market regime shifts.
Risk Management:
When divergence is extreme (Z-Score > +1), consider reducing position sizing or waiting for reversion.
Disclaimer:
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security or asset. Always do your own research and consult a qualified financial professional before making trading decisions. Use at your own risk.
Tip:
Experiment with different lookback periods and smoothing settings to adapt the indicator to your timeframe and trading style.
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).
