Log Regression Oscillator Channel [BigBeluga]
This unique overlay tool blends logarithmic trend analysis with dynamic oscillator behavior. It projects RSI, MFI, or Stochastic lines directly into a log regression channel on the price chart — offering an intuitive way to detect overbought/oversold momentum within the broader price structure.
🔵Key Features:
Logarithmic Regression Channel:
➣ Draws a trend-based channel using logarithmic regression, adapting to price growth curvature over time.
➣ Features upper, lower, and optional midline boundaries to visualize trend flow and range extremes.
Oscillator Overlay (RSI / MFI / Stochastic):
➣ Projects your chosen oscillator inside the channel using dynamic polylines.
➣ Allows switching between RSI, Money Flow Index, or Stochastic for versatile momentum insight.
Threshold-Based Scaling:
➣ The top and bottom of the channel represent traditional oscillator thresholds (e.g., RSI 70/30).
➣ Users can modify the scale in settings to customize what "overbought" or "oversold" means visually.
Signal Line Integration:
➣ Adds a yellow moving average (signal line) for smoother confirmation of oscillator turns.
➣ Helps identify divergence, momentum shifts, and fakeouts with better clarity.
Live Oscillator Readout:
➣ Displays the real-time oscillator value at the right edge of the chart.
➣ Ensures traders stay aware of current momentum levels without switching panels.
🔵Usage:
Momentum Context:
➣ When the oscillator touches the upper regression band, it may signal local overbought pressure.
➣ Touching the lower band may indicate oversold conditions within the current log trend.
Divergence Detection:
➣ Use the oscillator’s behavior relative to the channel slope to spot divergence from price.
➣ For example, RSI rising inside a falling channel can flag early trend shifts.
Trend-Sensitive Entries:
➣ Combine oscillator signals with log channel direction to filter trades in trend alignment.
➣ Signal line crossovers inside the channel act as early warning for momentum turns.
The Log Regression Oscillator Channel transforms how traders view classic momentum tools. By embedding oscillators into a logarithmic trend structure, it offers unmatched clarity on momentum positioning relative to price expansion. Ideal for swing traders, mean-reverters, or trend followers looking to sharpen entries and exits with style.
Indicatori e strategie
Session Coloring Bar with ICT Macro [dani]The Session Coloring Bar is customizable Pine Script indicator designed to visually enhance your charts by applying unique colors to specific trading sessions or timeframes. This tool allows traders to easily identify and differentiate between macro sessions (e.g., 24-hour cycles) and custom-defined sessions (e.g., Session A, Session B), making it ideal for analyzing market activity during specific periods.
In the context of trading, the term "ICT Macro" , as discussed by Michael J. Huddleston (ICT), refers to specific timeframes or "windows" where market behavior often follows predictable patterns. Traders typically focus on the last 10 minutes of an hour and the first 10 minutes of the next hour (e.g., 0150-0210 , 0050-0110 , or 0950-1010 ) to identify key price movements, liquidity shifts, or market inefficiencies.
This script highlights these macro timeframes, enabling traders to visually analyze price action during these critical periods. Use this tool to support your strategy, but always combine it with your own analysis and risk management.
With this indicator, you can:
Highlight Macro Sessions : Automatically color bars based on predefined 24-hour macro sessions.
Customize Session Settings : Define up to three custom sessions (A & B) with individual start/end times, visibility toggles, and unique bar colors.
Timeframe Filtering : Hide session coloring above a specified timeframe to avoid clutter on higher timeframes.
Personal Notes : Add comments to each session for better organization and quick reference.
Dynamic Color Logic : Bars are colored based on their direction (up, down, or neutral) within the active session.
How to Use:
Enable/Disable Sessions :
Use the Show Coloring toggle to enable or disable session coloring for Macro, Session A, Session B, or Session C.
Set Session Times :
Define the start and end times for each session in the format HHMM-HHMM (e.g., 1600-0930 for an overnight session).
Choose Colors :
Assign unique colors for upward (Bar Up) and downward (Bar Down) bars within each session.
Adjust Timeframe Visibility :
Use the Hide above this TF input to specify the maximum timeframe where session coloring will be visible.
Add Notes :
Use the Comment field to add personal notes or labels for each session.
Example Use Cases:
Overnight Sessions :
Highlight overnight trading hours (e.g., 1600-0930) to analyze price action during low liquidity periods.
Asian/European/US Sessions : Define separate sessions for major trading regions to track regional market behavior.
Macro Analysis : Use the predefined 24-hour macro sessions to study hourly price movements across a full trading day.
Disclaimer:
The Session Coloring Bar is not a trading signal generator and does not predict market direction or provide buy/sell signals. Instead, it is a visualization tool designed to help you identify and analyze specific trading sessions or timeframes on your chart. By highlighting key sessions and their corresponding price movements, this indicator enables you to focus on periods of interest and make more informed trading decisions.
Thank you for choosing this indicator! I hope it becomes a valuable part of your trading toolkit. Remember, trading is a journey, and having the right tools can make all the difference. Whether you're a seasoned trader or just starting out, this indicator is designed to help you stay organized and focused on what matters most—price action. Happy trading, and may your charts be ever in your favor! 😊
MOPS Indicator - Master of ProfitsWhat this Script Does
1. Quick Buy (QB)
Conditions:
MACD crossover
RSI < 50
Trend is up (EMA50 > EMA200)
➡️ Places a label below the bar:
"QB Entry: xxx SL: xxx | TP: xxx | R:R"
2. Quick Sell (QS)
Conditions:
MACD crossunder
RSI > 50
Trend is down (EMA50 < EMA200)
➡️ Label appears above the bar.
3. Close Quick Buy (QBC)
When the previous candle had QB and now a MACD crossunder happens.
➡️ Label "QBC" above bar to close long.
4. Close Quick Sell (QSC)
Previous candle had QS and now MACD crossover.
➡️ Label "QSC" below bar to close short.
5. Bull Buy (BullB)
When price crosses above middle Bollinger Band + MACD cross + price between BB Middle & Upper + MACD above zero.
➡️ Entry label below bar.
6. Bear Sell (BearS)
Opposite logic to BullB, label above bar.
7. Close BullB / Close BearS
Opposite exit signals using price movement and MACD.
8. Swing Buy / Swing Sell
When price breaks Fibonacci retracement levels with trend confirmation.
Dynamic Momentum Bands | OpusDynamic Momentum Bands | Opus
Technical Indicator Overview
The Dynamic Momentum Bands indicator is a sophisticated technical analysis tool 🛠️ that fuses multiple methodologies—RSI (Relative Strength Index), volatility analysis, and adaptive moving averages—to deliver a comprehensive view of market momentum and trend dynamics. This indicator provides traders with a nuanced, actionable perspective on evolving market conditions.
Key Features 🌟
Adaptive Band Calculation ✅ : Dynamically adjusts band width based on price momentum for responsive trend tracking.
Integrated RSI-Driven Volatility Scaling 📊 : Incorporates RSI to modulate band sensitivity, reflecting market volatility shifts.
Multiple Moving Average Options ⚙️ : Supports EMA, SMA, and VWMA for customizable band construction.
Smooth Gradient-Based Visualization 🎨 : Features fluid, color-coded bands for intuitive trend interpretation.
Optional Price Bar Coloring 🌈 : Enhances trend identification with color-coded price bars alongside the bands.
Usage Guidelines 📋
Bullish Trend (Blue Bands) ✅ : Enter long positions when price moves above the bands and RSI approaches or exceeds 50, signaling upward momentum.
Bearish Trend (Pink Bands) ❌ : Consider exiting or shorting when price falls below the bands and RSI drops toward 50 or lower, indicating weakening momentum.
Momentum Shifts : Monitor color transitions and gradient intensity to anticipate trend changes ⚠️.
Volatility Insights : Observe widening bands for breakouts or narrowing bands for consolidation, using RSI context to confirm 💪.
Customizable Settings ⚙️
Price Source : Select the price data (e.g., close, high/low) for calculations 🔧.
RSI Length : Adjust the RSI period (1-50) to suit your timeframe 🎚️.
Band Length : Set the moving average period (5-100) for band smoothing 📏.
Volatility Multiplier : Fine-tune band width to match market conditions 📐.
Band Type : Choose between EMA, SMA, or VWMA for tailored analysis 🔄.
Visual Options : Toggle bar coloring, gradient styles, and color transitions for a personalized display 🖌️.
Applications 🌍
The Dynamic Momentum Bands | Opus is a versatile tool for traders aiming to capture trends and assess volatility with precision. Its integration of RSI-driven scaling, adaptive bands, and visual clarity makes it ideal for trend-following strategies, breakout detection, and market context analysis across diverse trading environments 💼.
Technical Methodology (Bonus Section) 🔍
1. Momentum Calculation :
- Computes RSI with a customizable length.
- Adjusts band volatility based on RSI's distance from the 50 level.
2. Band Construction :
- Applies the selected moving average to the price source.
- Calculates deviations using ATR (Average True Range) for band width.
- Smooths band edges for enhanced visual readability.
All under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) © 2025 Opus Capital 💼.
DEMA SuperTrend | OpusDEMA SuperTrend | Opus
Technical Indicator Overview
The DEMA SuperTrend | Opus is an advanced trend-following indicator 🛠️ that enhances the traditional Supertrend with Double Exponential Moving Average (DEMA) smoothing for improved responsiveness and reduced lag. Overlaying directly on the price chart, this indicator offers dynamic trend detection with customizable themes, making it a versatile tool for traders navigating market movements.
Key Features 🌟
DEMA-Enhanced Supertrend ✅: Integrates DEMA smoothing (default length: 9) with Supertrend calculations for sharper trend signals.
Adaptive Trend Lines 📉: Plots uptrend and downtrend lines that adjust based on price action and volatility, with customizable color themes.
Buy & Sell Signals 🚦: Marks entry points with ▲ for long signals and ▼ for short signals when trend direction shifts.
Gradient Visualization 🎨: Features a multi-layered gradient fill between the Supertrend line and price, reflecting trend intensity with a thematic color scheme.
Customizable Themes 💡: Offers seven visual themes (Synthwave, Outrun, Lush, Eighties, Sapphire, Scarlet Blues, Origins) to personalize the display.
Custom Alerts 🔔: Provides real-time notifications for long and short signals to keep traders informed.
Usage Guidelines 📋
Long Signal (▲) ✅: Enter long positions when the trend shifts to an uptrend (marked by ▲), indicated by the uptrend line, suggesting bullish momentum.
Short Signal (▼) ❌: Exit or short when the trend shifts to a downtrend (marked by ▼), supported by the downtrend line, signaling bearish momentum.
Trend Confirmation: Follow the Supertrend line’s direction—uptrend for bullish, downtrend for bearish—to align with market trends.
Volatility Insight: Monitor gradient intensity—darker fills indicate stronger trends, while lighter fills suggest weakening momentum.
Customizable Settings ⚙️
Supertrend Parameters: Adjust Supertrend length (default: 2) and multiplier (default: 3.35) to control band sensitivity 🔧.
DEMA Settings: Set DEMA length (default: 9) and select the source (default: HLC3) for smoothing 🎚️.
Visualization Theme: Choose from Synthwave, Outrun, Lush, Eighties, Sapphire, Scarlet Blues, or Origins to customize colors 📏.
Gradient Options: Modify gradient layer count (default: 5) and opacity (max: 50) for a tailored visual effect 🖌️.
Applications 🌍
The DEMA SuperTrend | Opus is ideal for traders seeking a responsive, visually appealing tool for trend-following strategies. Its DEMA-enhanced design, thematic customization, and gradient visualization make it perfect for identifying trend direction, timing entries/exits, and adapting to various market conditions.
All under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) © 2025 Opus Capital 💼.
BTC/USDC 50x Futures Strategy with Multi-TPScript in the workings for btc/usdt 50x leverage trading at 1% portfolio margin. Please do not use to save your money
Market Open Highlights (9:30 AM ET)This indicator zeroes in on the 9:30 AM Eastern Time market opens for NAS100 and US30, highlighting all market opens with a bold yet subtle yellow background. Tailored for precision backtesting, it uses TradingView’s timezone capabilities to pinpoint the exact 9:30 AM candle, skipping weekends to focus solely on U.S. equity market opens.
What It Does:
The script tracks the bar indices of all market opens at 9:30 AM ET, applying a semi-transparent yellow highlight to those candles. It’s a clean, efficient way to mark key session starts for analyzing price action or testing strategies.
How to Use It:
1. Apply the script to a chart of NAS100 (e.g., FX:NAS100) or US30 (e.g., FX:US30) in TradingView on any timeframe.
2. Set your chart timezone to "America/New_York" (Settings > Timezone/Sessions).
3. Scroll back through trading days to see the yellow highlights on the 9:30 AM candles.
4. While it functions across all timeframes, it’s optimized for 5-minute and 1-minute charts, where the 9:30 AM candle aligns precisely with the U.S. market open for detailed analysis.
5. Use it to study price behavior or refine strategies around this critical daily event.
Autofib Extensions | DTDHello trader comuunity!
I'm introducing another script that is part of my main day-trading strategy. We all know regardless of what strategy we use, we need to know what levels offer the least amount of risk to our trade entry and a great tool to anticipate how far a move might go or what level a move may retrace to are the Fibonacci Retracement and Extensions. This indicator combines both together, but with a twist.
The main elements of the script are:
1. Multiple Session High and Lows | Developing my first script led me to understand that measuring key times during each session provides understanding of the market's continuity. I have provided 3 "sessions' a user can define according to CST time where the script saves the high and low of that session window to produce the retracement and extensions from those plots. Currently, the levels are always plotted from low to high (with the 0 mark being the high) and negative values provided so the levels are consistent. You can toggle each session on or off.
2. Coloring Key Retracements / Extensions | I use a dark background for my charts so the default colors help me distinguish from other another indicator I use. Feel free to adjust the colors to your preference. I consider 3 different colors because of their significance. Retracements that you want to see continue fall back into the .50 to .618 level (this I consider the "Golden Zone"). While basic Elliott Wave Theory states a wave is completed near the 1.618 level (this I consider "Major Extensions"). Everything isn't noise, but minor levels in a larger sequence.
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Script Limitations
All of my scripts are made with the help of ChatGPT so there are going to be limitations. One current one that I have made progress on, but not fully is when you are viewing a timeframe where the candle doesn't start when a session window starts. On smaller timeframes like the 7-minute this is not an issue. However, on the hourly, if your session window starts at the half hour which the 3rd session default window does, the lines will not produce. I will hopefully have this rectified in the near future. I will open the script since none of this work is original in nature and I would love to see how others can create a better product. Also, this is mainly a futures trading tool. If you are using this on stocks you will find it not as useful if the session window is too wide since the script waits until the session window closes to calculate the extension values.
Cheers,
DTD
BTC Trading RobotOverview
This Pine Script strategy is designed for trading Bitcoin (BTC) by placing pending orders (BuyStop and SellStop) based on local price extremes. The script also implements a trailing stop mechanism to protect profits once a position becomes sufficiently profitable.
________________________________________
Inputs and Parameter Setup
1. Trading Profile:
o The strategy is set up specifically for BTC trading.
o The systemType input is set to 1, which means the strategy will calculate trade parameters using the BTC-specific inputs.
2. Common Trading Inputs:
o Risk Parameters: Although RiskPercent is defined, its actual use (e.g., for position sizing) isn’t implemented in this version.
o Trading Hours Filter:
SHInput and EHInput let you restrict trading to a specific hour range. If these are set (non-zero), orders will only be placed during the allowed hours.
3. BTC-Specific Inputs:
o Take Profit (TP) and Stop Loss (SL) Percentages:
TPasPctBTC and SLasPctBTC are used to determine the TP and SL levels as a percentage of the current price.
o Trailing Stop Parameters:
TSLasPctofTPBTC and TSLTgrasPctofTPBTC determine when and by how much a trailing stop is applied, again as percentages of the TP.
4. Other Parameters:
o BarsN is used to define the window (number of bars) over which the local high and low are calculated.
o OrderDistPoints acts as a buffer to prevent the entry orders from being triggered too early.
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Trade Parameter Calculation
• Price Reference:
o The strategy uses the current closing price as the reference for calculations.
• Calculation of TP and SL Levels:
o If the systemType is set to BTC (value 1), then:
Take Profit Points (Tppoints) are calculated by multiplying the current price by TPasPctBTC.
Stop Loss Points (Slpoints) are calculated similarly using SLasPctBTC.
A buffer (OrderDistPoints) is set to half of the take profit points.
Trailing Stop Levels:
TslPoints is calculated as a fraction of the TP (using TSLTgrasPctofTPBTC).
TslTriggerPoints is similarly determined, which sets the profit level at which the trailing stop will start to activate.
________________________________________
Time Filtering
• Session Control:
o The current hour is compared against SHInput (start hour) and EHInput (end hour).
o If the current time falls outside the allowed window, the script will not place any new orders.
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Entry Orders
• Local Price Extremes:
o The strategy calculates a local high and local low using a window of BarsN * 2 + 1 bars.
• Placing Stop Orders:
o BuyStop Order:
A long entry is triggered if the current price is less than the local high minus the order distance buffer.
The BuyStop order is set to trigger at the level of the local high.
o SellStop Order:
A short entry is triggered if the current price is greater than the local low plus the order distance buffer.
The SellStop order is set to trigger at the level of the local low.
Note: Orders are only placed if there is no current open position and if the session conditions are met.
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Trailing Stop Logic
Once a position is open, the strategy monitors profit levels to protect gains:
• For Long Positions:
o The script calculates the profit as the difference between the current price and the average entry price.
o If this profit exceeds the TslTriggerPoints threshold, a trailing stop is applied by placing an exit order.
o The stop price is set at a distance below the current price, while a limit (profit target) is also defined.
• For Short Positions:
o The profit is calculated as the difference between the average entry price and the current price.
o A similar trailing stop exit is applied if the profit exceeds the trigger threshold.
________________________________________
Summary
In essence, this strategy works by:
• Defining entry levels based on recent local highs and lows.
• Placing pending stop orders to enter the market when those levels are breached.
• Filtering orders by time, ensuring trades are only taken during specified hours.
• Implementing a trailing stop mechanism to secure profits once the trade moves favorably.
This approach is designed to automate BTC trading based on price action and dynamic risk management, although further enhancements (like dynamic position sizing based on RiskPercent) could be added for a more complete risk management system.
EMA Crossover (Short Focus with Trailing Stop)This strategy utilizes a combination of Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) to generate entry and exit signals for both long and short positions. The core of the strategy is based on the 13-period EMA (short EMA) crossing the 33-period EMA (long EMA) for entering long trades, while a 13-period EMA crossing the 25-period EMA (mid EMA) generates short trade signals. The 100-period SMA and 200-period SMA serve as additional trend indicators to provide context for the market conditions. The strategy aims to capitalize on trend reversals and momentum shifts in the market.
The strategy is designed to execute trades swiftly with an emphasis on entering positions when conditions align in real time. For long entries, the strategy initiates a buy when the 13 EMA is greater than the 33 EMA, indicating a bullish trend. For short entries, the 13 EMA crossing below the 33 EMA signals a bearish trend, prompting a short position. Importantly, the code includes built-in exit conditions for both long and short positions. Long positions are exited when the 13 EMA falls below the 33 EMA, while short positions are closed when the 13 EMA crosses above the 25 EMA.
A key feature of the strategy is the use of trailing stops for both long and short positions. This dynamic exit method adjusts the stop level as the market moves in favor of the trade, locking in profits while reducing the risk of losses. The trailing stop for long positions is based on the high price of the current bar, while the trailing stop for short positions is set using the low price, providing more flexibility in managing risk. This trailing stop mechanism helps to capture profits from favorable market moves while ensuring that positions are exited if the market moves against them.
This strategy works best on the daily timeframe and is optimized for major cryptocurrency pairs. The daily chart allows for the EMAs to provide more reliable signals, as the strategy is designed to capture broader trends rather than short-term market fluctuations. Using it on major crypto pairs increases its effectiveness as these assets tend to have strong and sustained trends, providing better opportunities for the strategy to perform well.
M2 Global Liquidity IndexGlobal liquidity index calculated as
(ECONOMICS:CNM2 * FX_IDC:CNYUSD + ECONOMICS:USM2+ ECONOMICS:EUM * FX:EURUSD + ECONOMICS:JPM2 * FX_IDC:JPYUSD + ECONOMICS:GBM2 * FX:GBPUSD) / 1000000000000
Feel free to share your offsets in comments to find better sync between M2 and BTCUSDT
TP/SL Percentage & RR Visual ToolThis tool is designed to help traders visually and statistically assess their trade setup by calculating Stop Loss (SL), Take Profit (TP), and Risk-to-Reward (RR) based on percentage inputs from the current price.
🔧 How It Works:
Uses the current candle’s close price as your entry.
Calculates TP and SL as percentage-based levels (e.g., 1% SL, 1.5% TP).
Displays horizontal lines and labels on the chart for TP and SL (only on the latest candle to reduce clutter).
Shows a compact table in the top-right corner with all key values:
Entry Price
Current Price
TP Price (+%)
SL Price (-%)
TP Distance from current price
RR Ratio (e.g., 1:1.5)
💡 Use Cases:
Quickly validate if a trade setup meets your desired RR profile (e.g., 1:2).
Perfect for scalpers, swing traders, and position traders who rely on structured risk management.
Combine with your entry signal strategy to visualize targets and stops without manual calculations.
⚙️ Inputs:
Stop Loss % – Sets how far your SL is from the entry.
Take Profit % – Sets how far your TP is from the entry.
Green Candle with Volume > Last 5 DaysIt shows the candle with High volume compared to previous 5 days
Z-Score Normalized VIX StrategyThis strategy leverages the concept of the Z-score applied to multiple VIX-based volatility indices, specifically designed to capture market reversals based on the normalization of volatility. The strategy takes advantage of VIX-related indicators to measure extreme levels of market fear or greed and adjusts its position accordingly.
1. Overview of the Z-Score Methodology
The Z-score is a statistical measure that describes the position of a value relative to the mean of a distribution in terms of standard deviations. In this strategy, the Z-score is calculated for various volatility indices to assess how far their values are from their historical averages, thus normalizing volatility levels. The Z-score is calculated as follows:
Z = \frac{X - \mu}{\sigma}
Where:
• X is the current value of the volatility index.
• \mu is the mean of the index over a specified period.
• \sigma is the standard deviation of the index over the same period.
This measure tells us how many standard deviations the current value of the index is away from its average, indicating whether the market is experiencing unusually high or low volatility (fear or calm).
2. VIX Indices Used in the Strategy
The strategy utilizes four commonly referenced volatility indices:
• VIX (CBOE Volatility Index): Measures the market’s expectations of 30-day volatility based on S&P 500 options.
• VIX3M (3-Month VIX): Reflects expectations of volatility over the next three months.
• VIX9D (9-Day VIX): Reflects shorter-term volatility expectations.
• VVIX (VIX of VIX): Measures the volatility of the VIX itself, indicating the level of uncertainty in the volatility index.
These indices provide a comprehensive view of the current volatility landscape across different time horizons.
3. Strategy Logic
The strategy follows a long entry condition and an exit condition based on the combined Z-score of the selected volatility indices:
• Long Entry Condition: The strategy enters a long position when the combined Z-score of the selected VIX indices falls below a user-defined threshold, indicating an abnormally low level of volatility (suggesting a potential market bottom and a bullish reversal). The threshold is set as a negative value (e.g., -1), where a more negative Z-score implies greater deviation below the mean.
• Exit Condition: The strategy exits the long position when the combined Z-score exceeds the threshold (i.e., when the market volatility increases above the threshold, indicating a shift in market sentiment and reduced likelihood of continued upward momentum).
4. User Inputs
• Z-Score Lookback Period: The user can adjust the lookback period for calculating the Z-score (e.g., 6 periods).
• Z-Score Threshold: A customizable threshold value to define when the market has reached an extreme volatility level, triggering entries and exits.
The strategy also allows users to select which VIX indices to use, with checkboxes to enable or disable each index in the calculation of the combined Z-score.
5. Trade Execution Parameters
• Initial Capital: The strategy assumes an initial capital of $20,000.
• Pyramiding: The strategy does not allow pyramiding (multiple positions in the same direction).
• Commission and Slippage: The commission is set at $0.05 per contract, and slippage is set at 1 tick.
6. Statistical Basis of the Z-Score Approach
The Z-score methodology is a standard technique in statistics and finance, commonly used in risk management and for identifying outliers or unusual events. According to Dumas, Fleming, and Whaley (1998), volatility indices like the VIX serve as a useful proxy for market sentiment, particularly during periods of high uncertainty. By calculating the Z-score, we normalize volatility and quantify the degree to which the current volatility deviates from historical norms, allowing for systematic entry and exit based on these deviations.
7. Implications of the Strategy
This strategy aims to exploit market conditions where volatility has deviated significantly from its historical mean. When the Z-score falls below the threshold, it suggests that the market has become excessively calm, potentially indicating an overreaction to past market events. Entering long positions under such conditions could capture market reversals as fear subsides and volatility normalizes. Conversely, when the Z-score rises above the threshold, it signals increased volatility, which could be indicative of a bearish shift in the market, prompting an exit from the position.
By applying this Z-score normalized approach, the strategy seeks to achieve more consistent entry and exit points by reducing reliance on subjective interpretation of market conditions.
8. Scientific Sources
• Dumas, B., Fleming, J., & Whaley, R. (1998). “Implied Volatility Functions: Empirical Tests”. The Journal of Finance, 53(6), 2059-2106. This paper discusses the use of volatility indices and their empirical behavior, providing context for volatility-based strategies.
• Black, F., & Scholes, M. (1973). “The Pricing of Options and Corporate Liabilities”. Journal of Political Economy, 81(3), 637-654. The original Black-Scholes model, which forms the basis for many volatility-related strategies.
D.J. XAU 1MIN. SCALPING - London SessionThis is a scalping strategy designed for XAU (Gold) on a 1-minute timeframe, optimized for the London trading session (02:00 - 09:00 UTC). It uses a combination of EMA crossovers, an adaptive EMA filter, and Chandelier Exit for dynamic stop-loss management.
Key Components
EMA Crossover System
Short EMA (12) & Long EMA (26) determine trend direction.
A bullish crossover (Short EMA > Long EMA) signals a long entry.
A bearish crossover (Short EMA < Long EMA) signals a short entry.
Adaptive EMA Filter (50-period)
Confirms trend strength:
Longs only if price is above the 50 EMA.
Shorts only if price is below the 50 EMA.
Chandelier Exit (CE) for Stop Management
Uses ATR (22-period, 3x multiplier) to set dynamic trailing stops.
Long trades: Exit when price closes below the CE stop.
Short trades: Exit when price closes above the CE stop.
Session-Based Filter
Trades are only taken during the London session (02:00 - 09:00 UTC).
Risk Management
Fixed Risk-Reward Ratio (configurable: 1:1, 1:1.5, 1:2, etc.).
Trailing Stop Option (adjustable points).
Swing High/Low used for initial stop-loss placement.
Visual Indicators
EMA lines (12, 26, 50) plotted on the chart.
Chandelier Exit stops (green for long, red for short).
Background highlight during the London session.
Trade signals marked with circles (green for long, red for short).
Best Suited For
Fast scalping in high-liquidity conditions.
Gold (XAU/USD) during London hours (high volatility).
Traders who prefer EMA-based trend-following with dynamic exits.
Aggregated BTC VolumeTracks BTC volume since a desired date and time, lets you set a volume goal to be notified upon hitting with an alert.
TRIX Strategy)trix strategy with rsi
this is a winning strategy if used with good setting can get 140 pesent roi per year
this is true i have done that with this strategy jast play with the setting to get the best result
RSI with EMA and WMA on RSI
> "This is an indicator that combines EMA and WMA on the RSI.
> It highlights the strength of price waves as well as support and resistance zones."
siaThis script is a combination of several TradingView Pine Script indicators, each designed to provide different types of analysis and visualization for trading strategies. Here's a breakdown of each part:
1. Trendlines with Breaks
Purpose: Identifies trendlines and their breaks.
Key Features:
Detects swing highs and lows.
Calculates trendlines based on ATR, Stdev, or Linreg.
Plots upper and lower trendlines.
Highlights breakouts with shapes and alerts.
2. CM_Ultimate_MA_MTF_V2
Purpose: Plots a multi-timeframe moving average with optional second moving average.
Key Features:
Supports various moving average types (SMA, EMA, WMA, etc.).
Highlights price crossings with the moving averages.
Allows color changes based on direction.
Optional second moving average for additional analysis.
3. HalfTrend
Purpose: Identifies trends and plots trend channels.
Key Features:
Uses ATR for channel deviation.
Plots trend lines and channels.
Highlights trend changes with arrows.
Provides alerts for buy and sell signals.
4. Ichimoku
Purpose: Plots Ichimoku Cloud components and additional lines.
Key Features:
Plots Tenkan-Sen, Kijun-Sen, Chikou Span, and Ichimoku Cloud.
Highlights crosses between Tenkan-Sen and Kijun-Sen.
Includes additional lines like Quality Line and Direction Line.
Provides alerts for cross signals.
How to Use
Trendlines with Breaks: Useful for identifying potential breakout points in the market.
CM_Ultimate_MA_MTF_V2: Helps in understanding the trend across different timeframes.
HalfTrend: Provides a clear visualization of trend channels and potential reversal points.
Ichimoku: Offers a comprehensive view of market trends and potential support/resistance levels.
Integration
These indicators can be used together to create a robust trading strategy. For example, you can use the trendlines to identify breakouts, confirm the trend with the multi-timeframe moving average, and use Ichimoku for additional confirmation.
Customization
Each indicator has several input parameters that can be customized to fit your trading style and preferences.
ABRA LEVELS (PH1)ABRA LEVELS (PH1) is a precision-engineered indicator for SPY 0DTE and intraday scalping strategies. This tool marks the battlefield with institutional-grade clarity—highlighting Previous Day High/Low (PDH/PDL), Premarket High/Low (PMH/PML), Opening Range (ORH/ORL), and the critical 5-minute breakout zone.
Key Features
Automatic Levels:
Previous Day High/Low (PDH/PDL)
Premarket High/Low (PMH/PML)
Opening Range High/Low (ORH/ORL)
5th 1-Minute Candle High/Low (for early momentum reads)
First 5-Minute Candle Range with precision extensions
Zone Awareness:
Outer & inner range extensions from the first 5-minute bar
Retest + long-wick trap detection
Optional shaded liquidity zones for high-clarity entries
Real-Time Alerts:
Alerts for breaking inner/outer boundaries
First 5m high/low cross alerts
Smart retest and wick rejection signals
Customization:
Toggle visibility, styling, session timing, and shading layers. Clean, high-contrast visual layout built for fast, disciplined execution under pressure.
CANDLESThe script is designed to display Higher Timeframe (HTF) candles on a chart, with a maximum of 6 candle sets
Death Cross ReversalThis indicator tracks the recovery of the EMA20 slope after a death cross (when EMA200 crosses above EMA50). At the death cross, it records the current EMA20 slope as a baseline. As the slope improves from its negative baseline, the indicator plots sequential signals:
A Strength Signal when the slope recovers 50% of the baseline gap,
An Early Momentum Signal at 75% recovery, and
A Reversal Signal when the slope finally crosses above +50.
It also displays a histogram of the EMA20 slope (green for positive, gray for negative). Once the reversal signal fires, no further signals are generated until a golden cross resets the cycle.
