Copter 2.0💡 The indicator is designed for trading on any timeframe and includes a comprehensive system for determining entry and exit points based on technical analysis, price and volume.
📊 In the new version of Copter 2.0, the take profit and stop loss functions have been added
Let's analyze its key components:
✔️ Trend levels and extremes:
- The indicator determines local highs and lows for a certain period.
- the breakdown of these levels serves as a signal to open positions.
- the High-Low price dynamics analysis method is used to find key entry points.
✔️ Volumes:
-The indicator uses a configurable volume threshold to filter out candles with low volume and display only those with significant volume.
- the algorithm analyzes market data and sets an entry signal (opening a trade) and exit (profit taking/closing a position)
📍 Therefore, whether you are a beginner or an experienced trader, the indicator can help you stay ahead of the game and make more informed trading decisions.
📍 As a result, the trader can be sure that the signal is based on data analysis.
A long or short position can be stopped with either a profit or a small loss without prejudice to the potential profit.
✔️ Signal filtering:
- volume and volatile indicators are used to confirm the trend
- if a volume or volatility filter does not confirm the breakdown, the input signal is ignored
- analysis of moving averages of volumes and ATR is used
✔️ The use of the RSI in overbought and oversold analysis:
- the RSI indicator analyzes the strength of the current trend
- if the RSI exceeds 70, exit from a long position is possible
- if the RSI falls below 30, exit from a short position is possible
✔️ The use of EMA 20 and EMA 200
is additional moving average data that determines the current trend and the trend on higher timeframes.
- the main idea is that when they cross, we can see a change in trend movement and determine the general mood at the moment, based on which signals appear to open/close a deal.
- also, the indicator analyzes the past movement, thus determining the future direction
- based on the opening and closing of the past days, weeks, months.
✔️ Stop loss and risk management
- when entering a trade, a dynamic stop loss is set based on the percentage price change
- exit the position is carried out when a stop loss or a signal from the RSI is reached.
- it helps to minimize losses and protect profits
The market is unstable, and it is impossible to know what awaits it in the future.
The only way to manage risk is to limit the loss by setting a stop loss at 1% - 2% of the entry point.
It is recommended to set the profit in the ratio 1:1, 1:2,1:3, with partial fixation of 40%, 30%, 30% or wait for the indicator signal (TP)
We recommend fixing positions in parts. There will be a signal in the opposite direction when the volume is released.
To match the risk of the transaction, we recommend that you do not enter with high leverage.
Trade only with the amount that you are willing to lose.
With increased volatility in the market and flat, the indicator can give many signals.
After a strong fall or growth, we recommend not to open positions, because the probability of a flat is high.
✔️ Visualization of entry and exit points
- Entry points (long and short) are graphically displayed. green - long, orange - short
- stop loss levels are marked for clarity of risk management
✔️Recommendations for working with the indicator!
Entry/exit is performed on the next candle after the candle with the signal (buy/sell)
All timeframes and any trading pairs are used (when selecting settings for each one)
The indicator combines several methods of technical analysis:
- work with support and resistance levels
- filtering of signals based on volumes and volatility
- Overbought and oversold analysis using the RSI
- automatic risk management through stop loss
This approach makes the indicator a useful tool for short-term trading and active scalping.
❗️ NO REPAINT ! ❗️
ניתוח מגמה
CandleTrack Pro | Pure Price Action Trend Detection📖 CandleTrack Pro | Pure Price Action Trend Detection
CandleTrack Pro is a clean, non-repainting trend detection tool built purely on price action logic.
It uses a dynamic ATR-based trailing system to detect trend shifts while keeping the chart visually simple.
🧠 How It Works
Tracks volatility using ATR.
Identifies trend shifts when price crosses trailing stops.
Highlights bullish and bearish bars visually for easy reading.
⚙️ Inputs
ATR Sensitivity: Controls how fast the trend adapts.
Use High/Low for Stop: Enables candle wick–based structure tracking.
📊 Ideal For
Traders who want a minimalist price action view with clear trend direction — no clutter, no lagging oscillators.
⚠️ Disclaimer
This script is for educational and technical analysis purposes only.
It is not financial advice. Always confirm setups using your own judgment and risk management.
Rotation Flow Model v6 (BTC → ETH → ALTS) Ghost 2Confirm the flows after massive dip to confirm entry points
Skew DetectorSkew Detector is a statistical bias analyzer designed to measure and visualize market asymmetry using range-based skewness.
It helps traders identify when price movements are stretching too far in one direction — signaling potential imbalance, exhaustion, or continuation bias in momentum.
The indicator computes three independent measures of skewness — mean, median, and mode — across a customizable lookback window. These are plotted as reference lines against a synthetic "skew candle" series, allowing you to visualize how current market skew compares to its historical distribution.
When the background turns green, it indicates that the market’s current skew is greater than all three reference measures — suggesting bullish dominance or upward distortion in price movement.
When it turns red, the opposite is true — signaling potential downside bias or negative skew.
Features
Measures mean, median, and mode of return-based skewness.
Highlights extreme bias conditions through dynamic background coloring.
Visualizes a synthetic skew candle series to track short-term fluctuations.
Fully customizable lookback length and histogram resolution.
aEMA Cross - Long EditionaEMA Cross – Long Edition
Smart, Automated, and Rule-Based Trading Framework
Overview:
The aEMA Cross – Long Edition is an advanced automated trading system that intelligently identifies trends, filters weak signals, and manages trades with precision. It integrates EMA crossover logic, breakout candle confirmation, and time-based exits to help traders capture consistent opportunities while minimizing risk and manual intervention.
Designed and developed with algorithmic trading platforms in mind, the indicator can be seamlessly integrated with most Algo platforms through TradingView alerts for automated execution.
Note: The default setup is optimized for the ETHUSD chart.
Core Concept:
The strategy is built around two Exponential Moving Averages (EMAs):
- Short EMA – Responds quickly to short-term market changes.
- Long EMA (default 200) – Represents the overall market trend.
When the Short EMA crosses specific buffer zones around the Long EMA, it confirms genuine momentum before generating Buy or Sell signals. This ensures cleaner and more reliable trade entries.
Key Features:
1. Signal Generation
• Dual logic modes: Candle-based or EMA-based signal detection.
• Breakout Candle System to confirm strong price movements before entries.
• Integrated RSI and ADX filters to ensure trades occur only in favorable market conditions.
2. Smart Trade Management
• Automated Target and Stoploss management.
• Trailing Stop Loss (TSL) dynamically locks in profits as prices move favorably.
• Sequential Signal Logic ensures no repeated or conflicting trade signals.
3. Universal Exit (Time-Based Auto Exit)
• Automatically exits all positions at a specified time (e.g., 23:40).
• Works consistently across all timeframes (1m, 3m, 5m, etc.).
• Can be configured for selected weekdays or every trading day.
• Prevents overnight exposure and resets trading cleanly for the next session.
4. Safety and Control
• EMA buffer zones help avoid false breakouts and choppy market signals.
• Blocks new entries after a Universal Exit until a fresh crossover occurs.
• Automatically resets breakout levels and internal logic daily for consistency.
5. Visualization and Alerts
• Plots EMAs, buffer zones, breakout levels, and entry/exit markers directly on the chart.
• Highlights the Universal Exit visually with background shading.
• Sends real-time alerts for Buy, Sell, Exit, and Universal Exit events.
Why It Stands Out:
• Works reliably across multiple timeframes.
• Fully rule-based with no emotional bias.
• Highly customizable – adjust filters, targets, buffers, and exit rules as needed.
• Complete framework – handles entry, management, and exit automatically.
• Engineered for compatibility – can be integrated with most Algo trading platforms.
How It Works:
1. The Short EMA and Long EMA define the primary market direction.
2. A breakout or EMA crossover triggers a potential signal.
3. RSI and ADX filters confirm market strength before allowing entry.
4. Target, Stoploss, and TSL manage trades automatically.
5. Universal Exit closes all trades at a defined time, resetting the logic for the next session.
How to Use:
1. Apply the aEMA Cross – Long Edition indicator to your chart.
2. Choose your primary logic: Candle-based or Short EMA-based.
3. Adjust RSI, ADX, Buffer, and Target/SL settings according to your trading style.
4. Configure Universal Exit time and alert options.
5. Use the “Once Per Bar Close” alert type for confirmed signals.
6. Always backtest your configuration before enabling automation or live execution.
Important Note on Alert Setup:
- When using the RSI filter, signals may fluctuate if RSI hovers near the trigger level. To avoid this, use “Once Per Bar Close” for stable and confirmed alerts.
- If RSI is disabled, “Once Per Bar” alerts can be safely used, even when the Breakout Candle High/Low Crossover option is enabled.
Disclaimer:
• This strategy is intended for educational and research purposes only.
• It does not guarantee profits. Always perform proper backtesting and apply sound risk management before live trading.
• The author is not responsible for any financial losses resulting from its use.
Developer Information:
Developer: ikunalsingh
Built using AI + the best of human logic.
MA Cloud - Desh videsh TradingDescription:
Visualize market trends with ease using the MA Cloud + Configurable Long-Term MA indicator! This tool allows traders to quickly assess short-to-medium-term and long-term trends using customizable moving averages (EMA, WMA, SMA).
Features:
MA Cloud (35–65 default):
Represents a zone of short-to-medium term trend.
Cloud turns green when above the long-term MA → bullish trend.
Cloud turns red when below the long-term MA → bearish trend.
Gray when the trend is neutral or mixed.
Long-Term MA Line:
Fully configurable MA type (EMA/WMA/SMA) and length (default 200).
Acts as a filter for overall market trend.
Trend Label:
Displays “TREND: BULL / BEAR / NEUTRAL” on the latest bar.
Provides quick visual reference of market direction.
Customizable Inputs:
Choose MA type for each cloud line: EMA, WMA, or SMA
Adjust MA lengths for cloud lines and long-term trend line
Customize cloud and line colors for better chart visualization
How to Use:
Bullish Trend: Cloud above long-term MA → focus on long positions
Bearish Trend: Cloud below long-term MA → focus on short positions
Neutral Trend: Cloud overlapping long-term MA → avoid directional trades
VWAL Cloud + 200 Trend (v6) — Desh Videsh TradingDescription:
Visualize market trends easily with the VWAL Cloud + 200 Trend Indicator! This indicator is designed for traders who want a clear, intuitive view of trend direction using volume-weighted average lines (VWAL).
Features:
VWAL Cloud :
Shows the short-to-medium term trend zone.
Turns green when the cloud is above the 200-period VWAL (bullish).
Turns red when the cloud is below the 200-period VWAL (bearish).
Gray when the trend is neutral or mixed.
VWAL 200 Line:
Represents the long-term trend filter.
Helps identify overall market direction.
Trend Label:
Displays “TREND: BULL / BEAR / NEUTRAL” on the latest bar for quick visual reference.
How to Use:
Bullish Trend: Cloud above VWAL-200 → look for long setups.
Bearish Trend: Cloud below VWAL-200 → look for short setups.
Neutral Trend: Cloud overlapping VWAL-200 → avoid taking directional trades.
Customizable Inputs:
Cloud periods: can be changed as per your strategy
VWAL 200 period: adjust to suit longer-term trend detection
Cloud & line colors for personal preferences
CPR by VictorVCentral Pivot Range
Where price is vs CPR
Above TC: bullish bias; TC/BC act as support. Hold above TC → trend day likely.
Inside CPR (BC–TC): balanced/choppy; expect mean reversion between edges until a clean break.
Below BC: bearish bias; BC/TC act as resistance.
Width of the CPR
Narrow: energy coiled → higher chance of breakout/trend day.
Wide: balanced market → range-bound behavior more likely.
Shift vs yesterday
CPR shifted up: bullish undertone.
Shifted down: bearish undertone.
Overlapping: neutral/indecisive.
Intraday tells
Acceptance: Several candles holding outside BC/TC = expansion in that direction.
Rejection: Wicks through BC/TC that close back inside = likely fade back toward the opposite edge.
Pivot (P) magnet: On non-trend days, price often gravitates back to P.
Commodity Pulse Matrix (CPM) [WavesUnchained] [Strategy]Commodity Pulse Matrix (CPM) - Strategy Version
⚠️ Development Status
ACTIVE DEVELOPMENT - This strategy is currently under heavy development and optimization. The risk management settings, entry/exit logic, and parameter tuning are still being refined and are NOT yet satisfactory for live trading.
Current development areas:
Stop-loss and take-profit optimization
Position sizing and risk management
Entry timing and signal filtering
Backtest validation across different market conditions
⚠️ Use for testing and backtesting only - NOT recommended for live trading yet!
For detailed information about the underlying indicator logic, signals, and analysis methods, please refer to the Commodity Pulse Matrix (CPM) indicator description.
Overview
The CPM Strategy is an automated trading system based on the Commodity Pulse Matrix indicator. It converts the indicator's multi-timeframe confluence signals into executable trades with dynamic ATR-based risk management.
Strategy Core Features
Signal Sources
The strategy trades based on:
Strong Buy/Sell signals from the CPM indicator
Multi-timeframe alignment (configurable: 3/3, 2/3, or score-only)
EMA-200 trend filter (prevents counter-trend entries)
Dynamic signal cooldown (5-8 bars)
Optional reversal zone signals (triple-confirmed)
Risk Management (ATR-Based)
Stop-Loss & Take-Profit
Stop-Loss: 2.5x ATR (default) - Dynamic distance based on volatility
Take-Profit: 4.0x ATR (default) - Risk/Reward ratio of 1.6:1
ATR Length: 14 periods (adjustable)
Both SL and TP adjust to current market volatility
Trailing Stop (Optional)
Enabled by default
Trails at 2.5x ATR distance
Protects profits in trending moves
Can be disabled for fixed SL/TP only
Position Management
Trade Direction Filter
Both Directions (default) - Trade both Long and Short
Long Only - Only enter long positions
Short Only - Only enter short positions
Cooldown After Exit
Default: 3 bars minimum after closing a position
Prevents immediate re-entry (whipsaw protection)
Adjustable from 0 (disabled) to any number of bars
Signal Filtering
Signal Mode (Timeframe Consensus)
Strict (3/3 TFs): All 3 timeframes must agree - Most conservative
Majority (2/3 TFs): At least 2 of 3 timeframes agree - Balanced (default)
Flexible (Score Only): Overall score threshold only - Most signals
Optional Filters
Min ABS(overallScore): Only trade when confluence score meets minimum (default: 0 = disabled)
Confirmed Bar Only: Wait for bar close before entry (prevents repainting) - Recommended ON
Strategy Settings Guide
For Conservative Trading (Lower Risk)
Signal Mode: "Strict (3/3 TFs)"
Stop-Loss: 3.0x ATR or higher
Take-Profit: 5.0x ATR or higher
Trailing Stop: Enabled
Cooldown: 5-10 bars
Min Score: 8.0 or higher
For Aggressive Trading (More Signals)
Signal Mode: "Flexible (Score Only)"
Stop-Loss: 2.0x ATR
Take-Profit: 3.0x ATR
Trailing Stop: Optional
Cooldown: 0-3 bars
Min Score: 4.0 or disabled
For Balanced Trading (Recommended Starting Point)
Signal Mode: "Majority (2/3 TFs)"
Stop-Loss: 2.5x ATR
Take-Profit: 4.0x ATR
Trailing Stop: Enabled
Cooldown: 3 bars
Min Score: 6.0-8.0
TradingView Strategy Tester Settings
Essential Settings to Configure:
Properties Tab
Initial Capital: Set to realistic account size
Order Size: Use "% of Equity" (e.g., 10-25% per trade)
Commission: Set realistic commission (e.g., 0.05% for crypto, 0.1% for stocks)
Slippage: Add realistic slippage (1-3 ticks for liquid markets)
Verify "Recalculate: On Every Tick" is DISABLED (for realistic backtests)
Inputs Tab
Adjust ATR multipliers for your market
Set appropriate cooldown period
Choose signal mode based on desired trade frequency
Enable/disable trailing stop
Configure directional filter if needed
Backtesting Recommendations
Before Using This Strategy:
Test across multiple markets - What works for one commodity may not work for another
Test different timeframes - Strategy behavior changes significantly with TF
Test different market conditions - Trending vs ranging markets
Validate performance metrics - Win rate, profit factor, max drawdown, Sharpe ratio
Forward test on paper account - Before risking real capital
Key Metrics to Monitor:
Win Rate (aim for >40% minimum)
Profit Factor (aim for >1.5)
Max Drawdown (should be acceptable for your risk tolerance)
Sharpe Ratio (higher is better, >1.0 is good)
Average Trade (should be positive after commissions/slippage)
Known Limitations
Range-bound markets: May produce more whipsaws despite filters
Low volatility: ATR-based stops may be too tight
High volatility: ATR-based stops may be too wide
News events: Strategy cannot account for fundamental shocks
Signal timing: Entry timing is still being optimized
Indicator vs Strategy
When to use the Indicator:
- Manual trading with discretion
- Confluence analysis and timing
- Multiple signal validation
- Learning market structure
When to use the Strategy:
- Automated backtesting
- System validation
- Parameter optimization
- Performance measurement
⚠️ The indicator provides richer information and context than the strategy can execute!
Technical Details
Pine Script v6
Non-repainting: Uses confirmed bars for HTF data
Strategy type: Long/Short with dynamic stops
Risk management: ATR-based (adaptive to volatility)
Position sizing: Configured in Strategy Tester
Pyramiding: Default 1 (no adding to positions)
Important Notes
⚠️ Strategy parameters are still under optimization - Current settings may not be optimal for all markets or timeframes
⚠️ Backtest thoroughly before live trading - Test across different market conditions and timeframes
⚠️ Risk management is critical - Use appropriate position sizing (1-2% risk per trade recommended)
⚠️ Market conditions change - A strategy that works in trending markets may fail in ranging markets
⚠️ Commission and slippage matter - Always include realistic costs in backtests
✅ Start with conservative settings and optimize gradually
✅ Paper trade before going live
✅ Monitor performance and adjust as needed
✅ Never risk more than you can afford to lose
Disclaimer
Educational and testing purposes only. Not financial advice.
This strategy is provided as-is for backtesting and educational purposes. Past performance is not indicative of future results. Trading involves substantial risk of loss. The developer is not responsible for any losses incurred from using this strategy. Always do your own research, backtest thoroughly, and consult with a qualified financial advisor before making trading decisions.
NEVER use this strategy with real money until:
You have thoroughly backtested it on your specific market and timeframe
You understand all parameters and their impact
You have forward tested it on a paper account
You are comfortable with the maximum drawdown and risk profile
The strategy has been marked as production-ready by the developer
Version
v1.2 - Strategy Adapter (Active Development)
Based on: Commodity Pulse Matrix v1.2 Indicator
Last Updated: 2025-10-10
For detailed indicator documentation, see the Commodity Pulse Matrix (CPM) indicator description.
Bitcoin Halving Cycle Strategy ProBitcoin Halving Cycle Strategy Pro - Advanced Market Cycle Analysis Tool
This professional indicator analyzes Bitcoin's 4-year halving cycles using precise mathematical calculations. It identifies bull and bear market phases based on 500 days before and 560 days after each halving event, providing traders with data-driven market cycle insights.
Key Features:
• Automatic Bull/Bear Market Zone Detection with color-coded areas
• Historical Halving Analysis (2012-2028) with future projections
• Live Performance Tracking during bull phases (returns, max drawdown)
• Customizable cycle parameters (days before/after halving)
• Interactive info table showing current cycle phase and metrics
• Visual timeline markers for halving dates and cycle boundaries
Perfect for long-term Bitcoin investors, cycle analysts, and traders who want to understand market psychology and timing based on historical halving patterns. Uses proven 1060-day cycle theory backed by empirical data.
Uptrick: Volatility Adjusted TrailIntroduction
The "Uptrick: Volatility Adjusted Trail" is a dynamic trailing band indicator. It adapts in real time to changing market conditions by adjusting both to volatility and trend consistency. Inspired by Supertrend-style logic, it enhances traditional approaches by introducing adaptive mechanisms for more context-sensitive behavior in both trending and consolidating environments.
Overview
This indicator combines an exponential moving average (EMA) as its basis with an Average True Range (ATR)-derived multiplier that adjusts dynamically. Unlike fixed-multiplier tools, this indicator modifies its band distances in real time according to volatility expansion and trend persistence. The result is a trailing system that adapts to the prevailing market regime, providing traders with clearer signals for trend bias, stop placement, and potential momentum shifts.
Originality
The script’s originality lies in its multi-layered approach to trail calculation. It introduces a real-time ATR multiplier adjustment driven by two factors: a volatility expansion ratio and a trend persistence model. The expansion ratio compares the current ATR to its moving average, making the indicator more sensitive during volatile conditions and less sensitive during quieter periods. The trend persistence model assesses directional consistency to widen the bands during sustained trends. This dual adjustment method creates a system that evolves with market behavior, making it more responsive and adaptive than static-band or fixed-multiplier alternatives.
Components & Inspiration
This indicator was designed with specific components that work together:
Exponential Moving Average (EMA): Chosen as the central baseline because it responds faster to recent price changes than a simple moving average, providing a more current reference for trailing bands.
Average True Range (ATR): Used as the volatility measure because it accounts for both intraday and gap movement, making it a robust and widely accepted standard for market volatility.
Dynamic Multiplier: The multiplier is adjusted by both volatility expansion and trend persistence to produce bands that tighten during low volatility and widen during consistent trends. This combination was chosen to give the indicator the ability to self-regulate across different market regimes.
Trend Persistence Model: Integrated to assess directional consistency, ensuring the bands expand during strong trends, which can prevent premature stop-outs.
Flip Confirmation Logic: Added to filter out noise by requiring multiple bar closes beyond a band before confirming a state change, reducing false reversals.
For inspiration, the indicator draws on the core idea behind Supertrend—using a baseline and volatility-derived bands to define trailing stop levels. However, while Supertrend uses a fixed ATR multiplier, this indicator introduces a dynamic multiplier system and persistence weighting, making it more adaptive and suited for varying conditions.
Inputs and Parameters
Basis EMA Length
Defines the period for the EMA that serves as the core price reference.
ATR Length
Sets the lookback period for the Average True Range calculation used in band spacing.
Base ATR Mult
The base multiplier applied to ATR before adjustments. Forms the starting scale of the band offset.
Volatility Expansion Sensitivity
Controls how strongly the band spacing reacts to short-term volatility bursts. Higher values create more pronounced band expansions or contractions.
Trend Persistence Window
Determines how many bars are used to calculate directional trend consistency using a smoothed step function.
Persistence Impact
Scales how much influence the trend persistence has on band widening. Values range from 0 (no effect) to 1 (maximum effect).
Min Effective Mult
Sets the minimum value that the adjusted multiplier can reach. Prevents the bands from becoming too narrow.
Max Effective Mult
Sets the maximum value the adjusted multiplier can reach. Prevents the bands from over-expanding during high volatility.
Bars Above/Below to Confirm Flip
Number of consecutive bars required to close above or below the opposing trail before confirming a bullish or bearish flip. Helps reduce noise and false signals.
Show Flip Labels
Enables or disables the display of flip markers on the chart.
Label Size
Allows users to adjust the size of flip labels from Tiny to Huge.
Label ATR Offset
Adjusts the vertical placement of flip labels in relation to the trail using an ATR-based offset.
Features and Logic
EMA Basis: All calculations stem from an EMA that tracks the centerline of price action.
Dynamic ATR Multiplier: The ATR multiplier adjusts in real time based on volatility expansion and trend persistence.
Clamped Multiplier: The adjusted multiplier is limited between user-defined minimum and maximum values to keep the band scale practical.
Upper and Lower Bands: Bands are plotted above and below the EMA using the dynamic multiplier and ATR values.
Trailing Logic: The script uses Supertrend-style trailing logic, updating the active band in the current trend direction and resetting the opposite band.
Trend State Detection: A state variable tracks the current market regime (bullish, bearish, or neutral). Transitions are confirmed only after a user-specified number of bars close beyond the respective bands.
Visual Elements: Trail lines and fill zones are color-coded (bullish cyan, bearish magenta). Candlestick and bar colors match the trend state. Optional flip labels mark confirmed transitions.
Alerts: Built-in alert conditions allow users to receive real-time notifications for bullish or bearish flips.
Usage Guidelines
This indicator can be used for:
Defining context-aware dynamic stop levels that adjust with market behavior.
Identifying trend direction and reversal points based on adaptive logic.
Filtering entry or exit signals during trending vs. consolidating conditions.
Supplementing trade management strategies with responsive visual markers.
Entering long or short positions based on the appearance of flip labels and managing stop losses by following the adaptive trail.
Traders may tune the parameters to suit different trading styles or timeframes. For example, lower ATR and EMA values may suit intraday setups, while longer settings may benefit swing or positional trading.
Summary
The "Uptrick: Volatility Adjusted Trail" provides a flexible, adaptive trailing band system that accounts for both volatility and directional consistency. By combining an EMA baseline with a dynamic ATR multiplier influenced by volatility expansion and trend persistence, it creates a context-sensitive trailing system that aligns with changing market conditions. Customizable confirmation, flip labels, alerts, and dynamic visual cues make it a versatile tool for trend-following, breakout filtering, and trailing stop logic.
Disclaimer
This indicator is provided for educational and research purposes only. It does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results. Always conduct your own analysis and risk management before making trading decisions.
Rebound Sigma Pro - IndicatorOverview
Rebound Sigma Pro is a mean-reversion indicator that detects statistically oversold conditions in trending markets.
It helps traders identify potential short-term rebounds based on momentum exhaustion and volatility-adjusted entry zones.
Concept
The indicator combines two quantitative components:
Short-term momentum to detect short-term exhaustion
Trend filter to ensure setups align with the long-term direction
When a stock in an uptrend becomes temporarily oversold, a limit-entry signal is plotted.
The trade is then tracked until short-term conditions normalize or a time-based exit occurs.
Visual Signals
Green Triangle: Suggests placing a limit order for the next session
Green Circle: Confirms entry was filled
Red Triangle: Signals an exit for the next session’s open
Orange Background: Pending order
Green Background: Position active
Red Background: Exit phase
Yellow Line: Entry reference price
User Inputs
Limit Entry (% below previous close) – Default 1 %
Use Limit Entry – Switch between limit or market entries
Enable Time Exit – Optional holding-period constraint
Maximum Holding Days
All other internal parameters (momentum length, filters) are pre-configured.
Alerts
Limit Order Signal: New setup detected
Entry Confirmed: Order filled
Exit Signal: Exit expected next day
Usage
Designed for liquid equities and ETFs
Works best in confirmed uptrends
Backtesting encouraged to adapt parameters per symbol and timeframe
Notes
Not an automated strategy; manual order execution required
Past behavior does not imply future performance
Always apply sound position sizing and risk management
Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice or performance assurance.
Rebound Sigma Pro - StrategyOverview
Rebound Sigma Pro is a mean-reversion indicator that detects statistically oversold conditions in trending markets.
It helps traders identify potential short-term rebounds based on momentum exhaustion and volatility-adjusted entry zones.
Concept
The indicator combines two quantitative components:
Short-term momentum to detect short-term exhaustion
Trend filter to ensure setups align with the long-term direction
When a stock in an uptrend becomes temporarily oversold, a limit-entry signal is plotted.
The trade is then tracked until short-term conditions normalize or a time-based exit occurs.
Visual Signals
Green Triangle: Suggests placing a limit order for the next session
Green Circle: Confirms entry was filled
Red Triangle: Signals an exit for the next session’s open
Orange Background: Pending order
Green Background: Position active
Red Background: Exit phase
Yellow Line: Entry reference price
User Inputs
Limit Entry (% below previous close) – Default 1 %
Use Limit Entry – Switch between limit or market entries
Enable Time Exit – Optional holding-period constraint
Maximum Holding Days
All other internal parameters (momentum length, filters) are pre-configured.
Alerts
Limit Order Signal: New setup detected
Entry Confirmed: Order filled
Exit Signal: Exit expected next day
Usage
Designed for liquid equities and ETFs
Works best in confirmed uptrends
Backtesting encouraged to adapt parameters per symbol and timeframe
Notes
Not an automated strategy; manual order execution required
Past behavior does not imply future performance
Always apply sound position sizing and risk management
Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice or performance assurance.
Uptrick: Relative Strength Rotation SystemIntroduction
The Uptrick: Relative Strength Rotation System is an indicator engineered to implement a regime-aware tactical allocation strategy across a predefined set of user-specified assets. It visualizes a simulated equity curve produced by a closed, managed rotation engine. The system is designed to identify relative strength relationships dynamically and rotate into stronger-performing assets, while offering an optional fallback into a defensive state when market conditions are deemed unfavorable by the logic.
Overview
This indicator allocates capital by continuously evaluating the relative strength between all asset pairs within the selected group. Unlike simplistic momentum models or rank-based selectors, this system uses internally calculated scores that compare each asset across multiple dimensions, forming a comprehensive decision matrix. These scores are evaluated through a regime-aware layer that determines whether the system should remain invested or move into an idle allocation. The rotation logic is implemented through a rebalancing structure that maintains exposure to a single asset at any time, or transitions into a fallback asset such as cash or PAXG based on internal conditions. Outputs include a dynamically colored equity curve, context-sensitive labels, and optional overlays comparing buy-and-hold performance of the selected assets.
Originality
The indicator utilizes a scoring matrix based on custom asset-to-asset comparative ratios, resulting in a relational framework that evaluates assets in the context of each other rather than in isolation. Each asset is analyzed through multiple statistical dimensions, including trend strength and normalized deviation using Z-score calculations. These metrics form the foundation of an adaptive matrix used to derive consensus leadership. A key differentiator lies in the optional routing of idle allocations to PAXG—a tokenized gold asset—offering a non-cash defensive alternative that introduces both diversification and risk modulation not typically seen in rotation models. The engine also includes an override layer that filters decisions through market state awareness, adding tactical discipline during ambiguous or bearish regimes. Taken together, these features form a self-contained rotation mechanism with multiple embedded controls and fallback logic, all of which are abstracted from the user.
Inputs and Features
Exponential Length (EMA Length)
Specifies the smoothing length used by one of the internal scoring models. Lower values allow for more responsive asset comparisons, while longer values smooth out short-term volatility in score changes.
Z Score
Controls the statistical lookback length used for normalized relative comparisons. This Z-score is a cornerstone of the system’s comparative matrix, standardizing inter-asset ratio behaviors to detect statistically significant deviations from recent behavior. It allows the rotation engine to isolate and prioritize sustained leadership across assets, regardless of price volatility.
Rebalance Every N Bars
Sets how frequently the system evaluates potential changes in leadership. This controls the cadence of reallocation and can be tuned for faster or slower responsiveness.
When Bearish / Neutral, go to
Lets the user select how the system behaves during non-confirmed or bearish conditions. It can either route to a flat cash-equivalent state or into a user-defined defensive asset (such as PAXG), introducing an added layer of optional protection.
Cash Filter
Activates an override that forces the system into an idle state during unfavorable market regimes, even if a leader is otherwise present. This regime-aware mechanism adds another layer of conditional control to mitigate exposure risk.
Start Date
Defines the point in history from which the equity simulation begins. All calculations and equity values prior to this point are excluded.
Asset Inputs (Asset 1 to Asset 4)
Allow the user to specify up to four assets to be evaluated within the rotation universe. These may include crypto, forex, or other tradable symbols supported by TradingView.
PAXG Fallback Asset
Specifies the asset used as a fallback when the idle state is active and the defensive mode is set to PAXG rather than cash.
Color Settings
Users can customize the chart color palette for each asset and idle condition for enhanced clarity.
HODL Curve Toggles
Enable buy-and-hold equity curves for each input asset to be plotted for direct performance comparison with the system’s output.
Simple Mode
Reduces visual noise by simplifying the chart’s appearance and removing optional elements.
Background Color and Shadow Equity Fill
Offer additional styling options that reflect the system's current allocation, enhancing chart readability.
COLORED EQUITY CURVE - PAXG
COLORED EQUITY CURVE - CASH
SYSTEM
Current System Text Color
Allows further customization of label text for visibility across different asset themes.
Summary
The Uptrick: Relative Strength Rotation System is a rotation engine that leverages a proprietary scoring matrix to simulate tactical asset allocation. It analyzes inter-asset behavior through pairwise ratio metrics and statistically normalized scoring methods, enabling it to identify leadership dynamics within a defined universe. The inclusion of PAXG as a defensive fallback, regime-aware cash filtering, and customizable rebalancing cadence gives the system adaptability beyond traditional relative strength models. Users are provided with transparent visual feedback through an equity curve, contextual labels, buy-and-hold overlays, and real-time equity statistics. The system is not designed to disclose its internal mechanics, but it enables full visualization of its output and decisions for comparative analysis.
Disclaimer
This script is intended solely for educational and informational purposes. It does not constitute financial advice, trading signals, or an offer to buy or sell any financial instrument. Trading and investing carry risk, and past performance does not guarantee future outcomes. Users should perform their own research and consult a licensed financial advisor before making trading decisions.
Cycle VTLs – with Scaled Channels "Cycle VTLs – with Scaled Channels" for TradingView plots Valid Trend Lines (VTLs) based on Hurst's Cyclic Theory, connecting consecutive price peaks (downward VTLs) or troughs (upward VTLs) for specific cycles. It uses up to eight Simple Moving Averages (SMAs) (default lengths: 25, 50, 100, 200, 400, 800, 1600, 1600 bars) with customizable envelope bands to detect pivots and draw VTLs, enhanced by optional parallel channels scaled to envelope widths.
Key Features:
Valid Trend Lines (VTLs):
Upward VTLs: Connect consecutive cycle troughs, sloping upward.
Downward VTLs: Connect consecutive cycle peaks, sloping downward.
Hurst’s Rules:
Connects consecutive cycle peaks/troughs.
Must not cross price between points.
Downward VTLs:
No longer-cycle trough between peaks.
Invalid if slope is incorrect (upward VTL not up, downward VTL not down).
Expired VTLs: Historical VTLs (crossed by price) from up to three prior cycle waves.
SMA Cycles:
Eight customizable SMAs with envelope bands (offset × multiplier) for pivot detection.
Channels:
Optional parallel lines around VTLs, width set by channelFactor × envelope half-width.
Pivot Detection:
Fractal-based (pivotPeriod) on envelopes or price (usePriceFallback).
Customization:
Toggle cycles, VTLs, and channels.
Adjust SMA lengths, offsets, colors, line styles, and widths.
Enable centered envelopes, slope filtering, and limit stored lines (maxStoredLines).
Usage in Hurst’s Cyclic TheoryAnalysis:
VTLs identify cycle trends; upward VTLs suggest bullish momentum, downward VTLs bearish.
Price crossing below an upward VTL confirms a peak in the next longer cycle; crossing above a downward VTL confirms a trough.
Trading:
Buy: Price bounces off upward VTL or breaks above downward VTL.
Sell: Price rejects downward VTL or breaks below upward VTL.
Use channels for support/resistance, breakouts, or stop-loss/take-profit levels.
Workflow:
Add indicator on TradingView.
Enable desired cycles (e.g., 50-bar, 1600-bar), adjust pivotPeriod, channelFactor, and showOnlyCorrectSlope.
Monitor VTL crossings and channels for trade signals.
NotesOptimized for performance with line limits.
Ideal for cycle-based trend analysis across markets (stocks, forex, crypto).
Debug labels show pivot counts and VTL status.
This indicator supports Hurst’s Cyclic Theory for trend identification and trading decisions with flexible, cycle-based VTLs and channels.
Use global variable to scale to chart. best results use factors of 2 and double. try 2, 4, 8, 16...128, 256, etc until price action fits 95% in smallest cycle.
Continuation Suite v1 — 5m/15mContinuation Suite v1 — 5m/15m (Non-Repainting, S/R + Trend Continuation)
What it does
Continuation Suite v1 is a practical intraday toolkit that combines non-repainting trend-continuation signals with auto-built Support/Resistance (S/R) from confirmed pivots. It’s designed for fast, liquid names on 5m charts with an optional 15m higher-timeframe (HTF) overlay. You get: stacked-EMA bias, disciplined pullback+reclaim entries, optional volume/volatility gates, a “Strong” signal tier, solid S/R lines or zones, and a compact dashboard for fast reads.
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Why traders use it
• Clear bias using fast/mid/slow EMA stacking.
• Actionable entries that require a pullback, a reclaim, and (optionally) a minor break of prior extremes.
• Signal quality gates (volume vs SMA, ATR%, ADX/DI alignment, EMA spacing, slope).
• Non-repainting logic when “Confirm on Close” = ON. Intrabar previews show what’s forming, but confirmed signals only print on bar close.
• S/R that matters: confirmed-pivot lines or ATR-sized zones, optional HTF overlay, and auto de-dup to avoid clutter.
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Signal construction (no magic, just rules)
Bullish continuation (base):
1. Trend: EMA fast > EMA mid > EMA slow
2. Pullback: price pulls into the stack (lowest low or close vs EMA fast/mid over a lookback)
3. Reclaim: close > EMA fast and close > open
4. Break filter (optional): current bar takes out the prior bar’s high
5. Filters: volume > SMA (if enabled) and ATR% ≤ max (if enabled)
6. Cooldown: a minimum bar gap between signals
Bearish continuation (base): mirror of the above.
Strong signals: base conditions plus ADX ≥ threshold, DI alignment (DI+>DI- for longs; DI->DI+ for shorts), minimum EMA-spacing %, and minimum fast-EMA slope.
Reference stops:
• Longs: lowest low over the pullback lookback
• Shorts: highest high over the pullback lookback
Alerts are included for: Bullish Continuation, Bearish Continuation, STRONG Bullish, STRONG Bearish.
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S/R engine (current TF + optional HTF)
• Builds S/R from confirmed pivots only (left/right bars).
• Choose Lines (midlines) or Zones (ATR-sized).
• Zones merge when a new pivot lands near an existing zone’s mid (ATR-scaled epsilon).
• Touches counter tracks significance; you can require a minimum to draw.
• HTF overlay (default 15m) draws separate lines/zones with tiny TF tags on the right.
• De-dup option hides current-TF zones that sit too close to HTF zones (ATR-scaled), reducing overlap.
• Freeze on Close (optional) keeps arrays stable intrabar; snapshots show levels immediately as bars open.
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Presets
• Auto: Detects QQQ-like tickers (QQQ, QLD, QID) or SoFi; else defaults to Custom.
• QQQ: Tighter ATR% and EMA settings geared to index-ETF behavior.
• SoFi: Wider ATR allowances and longer mid/slow for single-name behavior.
• Custom: Expose all key inputs to tune for your product.
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Dashboard (top-right)
• Preset in use
• Bias (Bullish CONT / Bearish CONT / Neutral)
• Strong (Yes/No)
• Volatility (ATR% bucket)
• Trend (ADX bucket)
• HTF timeframe tag
• Volume (bucket or “off”)
• Signals mode (Close-Confirmed vs Intrabar)
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Inputs you’ll actually adjust
Trend/Signals
• Fast/Mid/Slow EMA lengths
• Pullback lookback, Min bars between signals
• Volume filter (vol > SMA N)
• ATR% max filter (cap excessive volatility)
• Require break of prior bar’s high/low
• “Strong” gates: min EMA slope, min EMA spacing %, ADX length & threshold
Support/Resistance
• Lines vs Zones
• Pivot left/right bars
• Extend left/right (bars)
• Max pivots kept (current & HTF)
• Zone width (× ATR), Merge epsilon (× ATR), Min gap (× ATR)
• Min touches, Max zones per side near price
• De-dup current TF vs HTF (× ATR)
Repainting control
• Confirm on Close: when ON, signals/SR finalize on bar close (non-repainting)
• Freeze on Close: freeze S/R intrabar with snapshot updates
• Show previews: translucent intrabar labels for what’s forming
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How to use it (straightforward)
1. Load on 5-minute chart (baseline). Keep Confirm on Close ON if you hate repainting.
2. Use Bias + Strong + S/R context. If a long prints into HTF resistance, you have information.
3. Manage risk off the reference stop (pullback extreme). If ATR% reads “Great,” widen expectations; if “Poor,” size down or pass.
4. Alerts: wire the four alert types to your workflow.
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Notes and constraints
• Designed for liquid symbols. Thin books and synthetic “volume” will degrade the volume gate.
• S/R is pivot-based. On very choppy tape, touch counts help. Increase min touches or switch to Lines to declutter.
• If your chart timeframe isn’t 5m, behavior changes because lengths are in bars, not minutes. Tune lengths accordingly.
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Disclaimers
This is a research tool. No signals are guaranteed. Markets change, outliers happen, slippage is real. Nothing here is financial advice—use your own judgment and risk management.
⸻
Author: DaddyScruff
License: MPL-2.0 (Mozilla Public License 2.0)
Sri-Williams R % with CTF📊 Sri – Williams %R with Custom Timeframe (CTF)
Developed by Venkat Raman (Sri)
📘 Overview
The Sri – Williams %R with Custom Timeframe (CTF) is a refined version of the classic Williams %R oscillator, enhanced with multi-timeframe capability and adaptive signal smoothing.
This indicator measures overbought and oversold conditions while also incorporating trend alignment across different timeframes — making it a valuable tool for both momentum analysis and trend confirmation.
By applying custom timeframe (CTF) inputs, traders can observe higher or lower timeframe Williams %R values within their current chart, helping align trade entries with broader market direction.
⚙️ Key Features
✅ Custom Timeframe (CTF) Input:
View Williams %R from any timeframe (e.g., 5m, 15m, 1H, 1D) directly on your current chart for multi-timeframe confirmation.
✅ Dynamic Color Coding:
Green Line: Bullish bias (above -50)
Red Line: Bearish bias (below -50)
✅ Smoothed EMA Overlay:
An optional EMA line smooths out the %R curve, making it easier to identify sustained momentum shifts and filter out noise.
✅ Overbought / Oversold Zones:
Classic reference zones help identify exhaustion or continuation signals:
Overbought: -20
Oversold: -80
Neutral midpoint: -50
✅ Background Fill:
Gray shading between -20 and -80 levels for quick visual interpretation of trading zones.
🧩 Inputs Explained
Input Description
Williams %R Length Period used for %R calculation (default: 100)
EMA Length Smoothing period for the signal line (default: 50)
Custom Timeframe (CTF) Allows you to select the timeframe on which Williams %R is calculated
🟩 Interpretation
%R > -50 (Green): Indicates bullish momentum or uptrend strength.
%R < -50 (Red): Indicates bearish momentum or downtrend strength.
Crossing -50: Often signals a shift in directional bias.
Approaching -20: Potential overbought zone.
Approaching -80: Potential oversold zone.
Combine this signal with price action, volume, or volatility-based tools for stronger confirmation.
🔍 How It Works
Calculates highest and lowest price values over the selected length.
Determines the current price’s position within that range (from 0 to -100).
Applies custom timeframe aggregation to fetch %R data from higher or lower intervals.
Optionally smooths %R with an EMA filter for clarity and reduced whipsaw signals.
🎨 Color Scheme
Element Color Meaning
%R Line 🟢 Green / 🔴 Red Above or below -50 baseline
EMA Line 🩵 Aqua Smoothed signal reference
Background Fill ⚪ Light Gray Oscillator zone between -20 and -80
🧠 Usage Tips
Use a higher timeframe CTF (e.g., 1H or 1D) while trading shorter intervals to align with dominant market trends.
Combine with volume surge or trend-based indicators (e.g., ADX, RTI, or Supertrend) for momentum confirmation.
Crossovers between %R and EMA can highlight early reversals or trend continuations.
⚡ Advantages
Multi-timeframe adaptable
Noise-filtered momentum view
Visual trend alignment tool
Straightforward and clean presentation
📜 Formula
\text{Williams %R} = 100 \times \frac{(Close - Highest(High, n))}{(Highest(High, n) - Lowest(Low, n))}
Values range between 0 and -100, with overbought levels near -20 and oversold near -80.
🏁 Summary
The Sri–WR (Williams %R with CTF) is a multi-timeframe momentum indicator built for clarity, flexibility, and trend precision. It retains the core logic of Williams %R but enhances its utility for professional analysis and adaptive trend alignment.
VIX Gauge Overlay (Table + Label + Alerts) by Carlos C.🚨 Official 2025 Update – Corrected VIX Ranges 🚨
This overlay shows the live VIX level with both a table and a large label, including alerts for HIGH FEAR and PANIC zones.
✅ Official ranges applied:
- LOW: 13 – 15
- LIGHT FEAR: 15 – 18
- TRANSITION: 18 – 21
- HIGH FEAR: 21 – 25
- PANIC: ≥ 25
Features:
- Table with VIX ranges and live highlight
- Large optional label with current value
- Color schemes (Normal / Inverted)
- Alerts when entering/exiting HIGH FEAR (21) and PANIC (25)
⚠️ Note: Previous version is deprecated. This v3.1 is the official and corrected release.
Sri - Relative Trend Index (RTI) with CTF🧭 Sri - Relative Trend Index (RTI) with Custom Timeframe (CTF)
Developed by Venkat Raman (Sri)
📘 Overview
The Relative Trend Index (RTI) is a proprietary oscillator designed to measure trend strength, direction, and relative positioning within a smoothed statistical band.
Unlike standard oscillators, RTI adapts dynamically using custom timeframe data (CTF), allowing traders to evaluate multi-timeframe trend momentum and reversals more effectively.
The indicator uses standard deviation envelopes and quantile-based sensitivity to calculate upper and lower dynamic bands, then measures the relative position of the current price within those bands — resulting in a smoothed, normalized trend index scaled from 0 to 100.
⚙️ Key Features
✅ Custom Timeframe Input (CTF):
Analyze RTI on any timeframe (e.g., 60m, 120m, 1D) while viewing on lower or higher charts.
✅ Color-coded RTI Line:
Green when RTI is above the 50 baseline → bullish trend momentum.
Red when RTI is below the 50 baseline → bearish trend momentum.
✅ Adaptive Smoothing:
Smoothing automatically adjusts based on sensitivity.
Higher sensitivity = smoother RTI curve (reduces noise).
✅ Dynamic Quantile Calculation:
RTI uses quantile-based ranking of upper and lower volatility bands, making it adaptive to market volatility and minimizing lag.
✅ Overbought/Oversold & Mid Levels:
Visual reference zones for identifying potential exhaustion or reversal regions:
Overbought: Default 80
Oversold: Default 20
Midline: 50
✅ Smoothed Signal Line:
Provides an additional reference curve for crossover signals and confirmation.
✅ Visual Clarity:
Clean color-coded plots
Overbought/Oversold fill shading
Adaptive smoothing curve overlay
✅ Alert Conditions Included:
Ready-to-use alerts for:
Crossing overbought/oversold levels
Crossing midline (50)
Signal crossovers between RTI and smoothed line
🧩 Inputs Explained
Input Description
Custom Timeframe (CTF) Selects timeframe used for RTI calculation (e.g., 60, 120, D).
Trend Length Period used to calculate trend envelope range.
Sensitivity Adjusts responsiveness (lower = faster, higher = smoother).
Base Smoothing Length Controls EMA smoothing of the signal line.
Overbought / Oversold Thresholds for reversal or momentum exhaustion zones.
🟩 Interpretation
RTI > 50 (Green): Uptrend or bullish bias; stronger if rising toward 80+.
RTI < 50 (Red): Downtrend or bearish bias; stronger if falling toward 20 or below.
Crossing 50: Often indicates a shift in momentum.
Signal crossover (RTI vs. EMA): Potential early entry/exit trigger.
🔔 Built-In Alerts
RTI crossing Overbought / Oversold
RTI crossing 50 baseline
RTI crossing Smoothed Signal Line
🧠 Suggested Uses
Combine with volume, price structure, or volatility-based tools for confirmation.
Use higher-timeframe RTI (via CTF) as a trend filter and lower-timeframe RTI for entry timing.
Ideal for swing traders and intraday analysts seeking adaptive trend strength confirmation.
🎨 Color Scheme
Element Color Meaning
RTI Line 🟢 Green / 🔴 Red Above or below 50 baseline
Smoothed RTI 🔵 Blue (light) Reference EMA of RTI
Background Fill 🩵 Soft Teal Highlights oscillator zone
💡 Note
This is a proprietary adaptation of the Relative Trend Index concept by Sri (Venkat Raman), optimized for flexibility, visual clarity, and dynamic responsiveness across multiple timeframes.
ZZ RangeHappy Trading!
This is a real-time range detection indicator. Based on previous supply and demand levels, it classifies each new bar as Up, Down, or Range.
New supply and demand levels are typically detected within two bars. The indicator can be used as a filter and supports indicator-on-indicator functionality.
Intro
Concept
Usage and Settings Menu
Declaration for TradingView House Rules on Script Publishing
Disclaimer
1. Concept
Based on a variation of the Bilson-Gann Algorithm, this indicator calculates local supply and demand levels and determines whether the current price is:
Between those levels → Ranging
Above → Uptrending
Below → Downtrending
Less significant supply and demand levels are filtered out using a user-adjustable intensity setting.
2. Usage and Settings Menu
There are four settings available:
Indicator Timeframe – Display results from higher timeframes on the lower timeframe chart.
Range Detection Rule – Choose whether a bar must be fully inside supply and demand zones to be considered ranging, or if touching the zone is sufficient.
Bar Structure Basis – Select whether wicks or bodies of bars are used to calculate supply and demand levels.
Rule to set S&D – Choose among three rules defining how often new supply and demand levels are calculated. Each rule adjusts the sensitivity and responsiveness of detection.
Alert Signals Available:
Trend Signal 1 = Uptrend, 0 = Ranging, -1 = Downtrend
last supply Level
last demand Level
3. Declaration for TradingView House Rules on Script Publishing
The unique feature of ZZ Range is its real-time range detection capability.
This script is closed-source and invite-only, to support and compensate for months of development work.
4. Disclaimer
Trading involves risk, and losses can and do occur. This script is intended for informational and educational purposes only. All examples are hypothetical and not financial advice.
Decisions to buy, sell, hold, or trade securities, commodities, or other assets should be based on the advice of qualified financial professionals. Past performance does not guarantee future results.
Use this script at your own risk. It may contain bugs, and I cannot be held responsible for any financial losses resulting from its use.
Cheers!
52WH/last52WH/ATH/lastATHThis indicator calculates and displays four values:
First, it calculates the current 52-week high and displays it as a line and in a table at the top right with the name, date, and price.
Corresponding color markings are also displayed on the price scale.
Next, the 52-week high that is at least 3 months ago is determined.
The corresponding candle is also labeled with a date. This past high is also displayed as a line, on the price scale, and in the table.
Next, the current all-time high is determined and also displayed as a line, on the price scale, and in the table.
Finally, the current all-time high that was valid 3 months ago is determined and also displayed as a linewith a label at the corresponding bar, in the price scale, and in the table.
All display values can be switched on or off in the view, and the corresponding colors of the displays can also be freely selected.
(This script was developed by J. Heina, jochen.heina@gmail, in collaboration with the ChatGPT tool, taking into account the rules developed for trading by Mario Lüddemann Investments GmbH).
NQ → NAS100 Converter by Dr WThis indicator allows traders to quickly and accurately convert stop levels from NQ (E-mini Nasdaq futures) to NAS100 (CFD) values, helping users who trade across different instruments to manage risk consistently.
Key Features:
Real-time Price Conversion:
Displays the current NQ futures price and the corresponding NAS100 price on your chart, updated every bar.
Stop Distance Conversion:
Converts a user-defined stop distance in NQ points into the equivalent NAS100 stop level using proportional scaling based on current market prices.
Customizable Labels:
Choose between Candle-attached labels (appearing near the bar) or Chart-fixed labels (HUD style).
Adjust label position, background color, text color, and label style (left, right, center).
Flexible Display Options:
Show/hide NQ price, NAS100 price, and converted stop independently.
Perfect for traders who want a quick visual reference without cluttering the chart.
Trading Direction Support:
Select Long or Short trades, and the stop conversion automatically adapts to the trade direction.
How It Works:
The indicator requests the latest NQ and NAS100 prices at your chart’s timeframe.
It calculates the NAS100 stop using the formula:
NAS_Stop = NAS_Price ± (Stop_NQ_Points / NQ_Price * NAS_Price)
+ is used for short trades, - for long trades.
The converted stop, along with the underlying prices, is displayed according to your label settings.
Use Cases:
Risk management for cross-instrument traders.
Quickly visualizing equivalent stops when trading NQ futures vs NAS100 CFDs.
An educational tool to understand proportional stop sizing between instruments.
TradingView Policy Compliance Notes:
The indicator does not provide trading advice or signals; it only performs calculations and visualizations.
It does not execute trades or connect to brokerage accounts.
All values displayed are informational only; users should independently verify stop levels before placing trades.
