NEW VOLUME INDICATORThe NIFTY 50 is an Indian stock market index that represents the float-weighted average of 50 of the largest Indian companies listed on the National Stock Exchange. Nifty 50 is owned and managed by NSE Indices, which is a wholly owned subsidiary of the National Stock Exchange of India.
Indikatoren und Strategien
RSI3M3+ v.1.8RSI3M3+ v.1.8 Indicator
This script is an advanced trading indicator based on Walter J. Bressert's cycle analysis methodology, combined with an RSI (Relative Strength Index) variation. Let me break it down and explain how it works.
Core Concepts
The RSI3M3+ indicator combines:
A short-term RSI (3-period)
A 3-period moving average to smooth the RSI
Bressert's cycle analysis principles to identify optimal trading points
RSI3M3+ Indicator VisualizationImage Walter J. Bressert's Cycle Analysis Concepts
Walter Bressert was a pioneer in cycle analysis trading who believed markets move in cyclical patterns that can be measured and predicted. His key principles integrated into this indicator include:
Trading Cycles: Markets move in cycles with measurable time spans from low to low
Timing Bands: Projected periods when the next cyclical low or high is anticipated
Oscillator Use: Using oscillators like RSI to confirm cycle position
Entry/Exit Rules: Specific rules for trade entry and exit based on cycle position
Key Parameters in the Script
Basic RSI Parameters
Required bars: Minimum number of bars needed (default: 20)
Overbought region: RSI level considered overbought (default: 70)
Oversold region: RSI level considered oversold (default: 30)
Bressert-Specific Parameters
Cycle Detection Length: Lookback period for cycle identification (default: 30)
Minimum/Maximum Cycle Length: Expected cycle duration in days (default: 15-30)
Buy Line: Lower threshold for buy signals (default: 40)
Sell Line: Upper threshold for sell signals (default: 60)
How the Indicator Works
RSI3M3 Calculation:
Calculates a 3-period RSI (sRSI)
Smooths it with a 3-period moving average (sMA)
Cycle Detection:
Identifies bottoms: When the RSI is below the buy line (40) and starting to turn up
Identifies tops: When the RSI is above the sell line (60) and starting to turn down
Records these points to calculate cycle lengths
Timing Bands:
Projects when the next cycle bottom or top should occur
Creates visual bands on the chart showing these expected time windows
Signal Generation:
Buy signals occur when the RSI turns up from below the oversold level (30)
Sell signals occur when the RSI turns down from above the overbought level (70)
Enhanced by Bressert's specific timing rules
Bressert's Five Trading Rules (Implemented in the Script)
Cycle Timing: The low must be 15-30 market days from the previous Trading Cycle bottom
Prior Top Validation: A Trading Cycle high must have occurred with the oscillator above 60
Oscillator Behavior: The oscillator must drop below 40 and turn up
Entry Trigger: Entry is triggered by a rise above the price high of the upturn day
Protective Stop: Place stop slightly below the Trading Cycle low (implemented as 99% of bottom price)
How to Use the Indicator
Reading the Chart
Main Plot Area:
Green line: 3-period RSI
Red line: 3-period moving average of the RSI
Horizontal bands: Oversold (30) and Overbought (70) regions
Dotted lines: Buy line (40) and Sell line (60)
Yellow vertical bands: Projected timing windows for next cycle bottom
Signals:
Green up arrows: Buy signals
Red down arrows: Sell signals
Trading Strategy
For Buy Signals:
Wait for the RSI to drop below the buy line (40)
Look for an upturn in the RSI from below this level
Enter the trade when price rises above the high of the upturn day
Place a protective stop at 99% of the Trading Cycle low
For Sell Signals:
Wait for the RSI to rise above the sell line (60)
Look for a downturn in the RSI from above this level
Consider exiting or taking profits when a sell signal appears
Alternative exit: When price moves below the low of the downturn day
Cycle Timing Enhancement:
Pay attention to the yellow timing bands
Signals occurring within these bands have higher probability of success
Signals outside these bands may be less reliable
Practical Tips for Using RSI3M3+
Timeframe Selection:
The indicator works best on daily charts for intermediate-term trading
Can be used on weekly charts for longer-term position trading
On intraday charts, adjust cycle lengths accordingly
Market Applicability:
Works well in trending markets with clear cyclical behavior
Less effective in choppy, non-trending markets
Consider additional indicators for trend confirmation
Parameter Adjustment:
Different markets may have different natural cycle lengths
You may need to adjust the min/max cycle length parameters
Higher volatility markets may need wider overbought/oversold levels
Trade Management:
Enter trades when all Bressert's conditions are met
Use the protective stop as defined (99% of cycle low)
Consider taking partial profits at the projected cycle high timing
Advanced Techniques
Multiple Timeframe Analysis:
Confirm signals with the same indicator on higher timeframes
Enter in the direction of the larger cycle when smaller and larger cycles align
Divergence Detection:
Look for price making new lows while RSI makes higher lows (bullish)
Look for price making new highs while RSI makes lower highs (bearish)
Confluence with Price Action:
Combine with support/resistance levels
Use with candlestick patterns for confirmation
Consider volume confirmation of cycle turns
This RSI3M3+ indicator combines the responsiveness of a short-term RSI with the predictive power of Bressert's cycle analysis, offering traders a sophisticated tool for identifying high-probability trading opportunities based on market cycles and momentum shifts.
THANK YOU FOR PREVIOUS CODER THAT EFFORT TO CREATE THE EARLIER VERSION THAT MAKE WALTER J BRESSERT CONCEPT IN TRADINGVIEW @ADutchTourist
Long Short domThis is Magic Indicator. Providing you Лонг Short Position Dominance. And Background i Show you Quint Trend.
Mr gold ema5 cross ma21ema5 crossover ma21
ema5 white (5days)
ma21 red (1month)
ma50 orange (50days)
ma63 yellow (3month)
ma84 green (4month)
ma200 blue (200days)
Bhoomi Indicator### Exponential Moving Averages (EMAs)
1. *Short-Term EMA*:
- *Common Periods*: 10-day, 12-day, 20-day.
- *Usage*: Captures short-term trends and reacts quickly to price changes.
- *Application*: Ideal for active traders who want to make quick decisions based on recent price movements.
2. *Medium-Term EMA*:
- *Common Periods*: 50-day, 100-day.
- *Usage*: Balances between short-term volatility and long-term trends.
- *Application*: Suitable for swing traders looking to capture medium-term trend reversals.
3. *Long-Term EMA*:
- *Common Periods*: 200-day, 250-day.
- *Usage*: Identifies long-term trends and filters out short-term noise.
- *Application*: Useful for long-term investors to understand the broader market direction.
### EMA Crossovers
1. *Golden Cross*:
- *Definition*: When a short-term EMA crosses above a long-term EMA.
- *Signal*: Bullish (indicating a potential uptrend).
- *Example*: A 50-day EMA crossing above a 200-day EMA.
2. *Death Cross*:
- *Definition*: When a short-term EMA crosses below a long-term EMA.
- *Signal*: Bearish (indicating a potential downtrend).
- *Example*: A 50-day EMA crossing below a 200-day EMA.
3. *Fast and Slow EMA Crossovers*:
- *Definition*: Using two EMAs with different periods (e.g., 12-day and 26-day) to generate signals.
- *Signal*: When the faster EMA crosses above the slower EMA, it's a buy signal; when it crosses below, it's a sell signal.
- *Application*: This strategy is often used in conjunction with other indicators like the MACD for better accuracy.
### Volatility Support and Resistance
1. *ATR (Average True Range) Bands*:
- *Definition*: Uses ATR to create dynamic channels around the price, which adapt to changes in volatility.
- *Usage*: Helps identify potential support and resistance levels based on market volatility.
- *Example*: If the price touches the upper ATR band, it may indicate resistance, while touching the lower ATR band may indicate support.
2. *Volatility Pivot Support and Resistance*:
- *Definition*: Calculates support and resistance lines based on current ATR levels.
- *Usage*: These lines act as dynamic support and resistance levels, helping traders identify potential entry and exit points.
- *Example*: These levels adjust with changing volatility, providing more accurate points for making trading decisions.
Combining EMA crossovers with volatility-based support and resistance can provide a more comprehensive trading strategy. EMAs help identify trend directions and changes, while volatility-based support and resistance offer a sense of potential price boundaries and market strength.
[Demo] TrendGo Horizon: Market Momentum Analyzer🚀 Try TrendGo Horizon – Free Demo Version
Explore a free demo version of TrendGo Horizon! The demo provides full functionality and allows you to experience our advanced momentum visualization and trend detection tool in action, with recent data hidden. To unlock the full experience and gain access to live data insights, request full access and join our community.
TrendGo Horizon: Advanced Trend and Momentum Visualization
TrendGo Horizon is a professional-grade market analytics tool designed to simplify and enhance your understanding of market dynamics through clear, data-driven visualizations. Ideal for traders looking to objectively identify market conditions, Horizon visualizes momentum and potential trend shifts without speculative interpretations.
Core Features:
• Momentum Histogram
Clearly displays market momentum through a color-coded histogram:
• Red histogram – indicates increasing momentum, signaling a potential bearish
reversal as the asset approaches overbought conditions.
• Green histogram – indicates decreasing momentum, signaling a potential bullish
reversal as the asset approaches oversold conditions.
• Intensified colors highlight strong overbought (red) or oversold (green) conditions for
greater clarity.
• Trend Confirmation Lines
Horizon incorporates dynamic confirmation lines to identify key momentum thresholds:
• Green/Red Momentum Lines: Show decreasing/increasing market momentum,
suggesting potential reversals.
• Vertical Lines (Blue/Purple): Provide secondary confirmations by clearly marking
entry into critical oversold or overbought areas.
• Customizable Oversold & Overbought Levels
Easily adjustable horizontal boundary lines help traders define their preferred oversold and overbought thresholds according to individual strategy, asset characteristics, or market conditions:
• Crossing above the upper boundary signals intensified bearish momentum (potential
overbought zone).
• Crossing below the lower boundary signals intensified bullish momentum (potential
oversold zone).
Example Conditions to Watch:
• Potential Bearish Reversal (Overbought):
• Red momentum line reaches your defined overbought boundary.
• Purple vertical confirmation line appears.
• Histogram becomes intense red.
• Potential Bullish Reversal (Oversold):
• Green momentum line reaches your defined oversold boundary.
• Blue vertical confirmation line appears.
• Histogram becomes intense green.
Why Choose TrendGo Horizon?
• Clarity & Objectivity:
Removes guesswork by offering transparent, data-driven visualization of market momentum and trend conditions.
• Adaptability:
Suitable for various markets and timeframes, empowering traders of all experience levels to make well-informed decisions.
• Community-Driven:
We encourage open discussions and shared insights within the TrendGo community, fostering collective improvement and smarter trading.
Access Instructions:
To request access, please reach out to us directly via private message or visit our website. Access to TrendGo Horizon is provided strictly upon explicit request.
Disclaimer:
Past performance does not guarantee future results. Trading involves risks, and TrendGo Horizon should only be used as an analytical aid, not as standalone advice. Always perform your own analysis and consult with a professional if necessary.
For additional information and resources, visit trendgo.io
EMA Supertrend StrategyAERVA EMA Supertrend Strategy
Original TradingView Script for Trend-following Strategy with Buy/Sell Signals
This strategy uses a combination of Exponential Moving Averages (EMA), Supertrend, and Fibonacci to identify potential Buy and Sell signals. The strategy focuses on detecting price action with two consecutive green candles crossing above the 200 EMA for a buy signal and two consecutive red candles crossing below the 200 EMA for a sell signal.
Key Components:
50 EMA and 200 EMA: Used to identify the trend and signal potential reversals or continuations.
Supertrend: Helps visualize the trend direction and smooths out price movements.
Fibonacci: Adds an additional layer of confluence for trade entries.
Buy Condition: A buy signal is triggered when two consecutive green candles cross above the 200 EMA.
Sell Condition: A sell signal is triggered when two consecutive red candles cross below the 200 EMA.
Features:
Buy/Sell Signals: Clear visual cues on the chart, with arrows and labels marking the entry points.
Supertrend: Displays green/red trends to help confirm the overall market direction.
Fibonacci: Plotting Fibonacci levels to support your decision-making for potential trade setups.
Risk Management & Backtesting: This script supports backtesting within the TradingView environment, and the strategy includes realistic commission and slippage parameters to reflect more accurate trade results.
The script is designed for traders who want a clear and systematic approach to identifying potential trend-following trade opportunities using a combination of classic technical indicators and price action.
Hashtags:
#AERVA #EMA #Supertrend #TradingStrategy #TechnicalAnalysis #TrendFollowing #BuyAndSellSignals #StockTrading #CryptoTrading #ForexTrading #TradingView #Backtesting #MarketTrends #Fibonacci #TechnicalIndicators #PriceAction #SwingTrading #DayTrading #TradingSystem #CustomStrategy #PineScript
Best Asia Range IndicatorUse this to map out the high or low of the day.
if im buying i will wait for a sweep of asia low
if im selling i wait for sweep of asia high
Strategy Stats [presentTrading]Hello! it's another weekend. This tool is a strategy performance analysis tool. Looking at the TradingView community, it seems few creators focus on this aspect. I've intentionally created a shared version. Welcome to share your idea or question on this.
█ Introduction and How it is Different
Strategy Stats is a comprehensive performance analytics framework designed specifically for trading strategies. Unlike standard strategy backtesting tools that simply show cumulative profits, this analytics suite provides real-time, multi-timeframe statistical analysis of your trading performance.
Multi-timeframe analysis: Automatically tracks performance metrics across the most recent time periods (last 7 days, 30 days, 90 days, 1 year, and 4 years)
Advanced statistical measures: Goes beyond basic metrics to include Information Coefficient (IC) and Sortino Ratio
Real-time feedback: Updates performance statistics with each new trade
Visual analytics: Color-coded performance table provides instant visual feedback on strategy health
Integrated risk management: Implements sophisticated take profit mechanisms with 3-step ATR and percentage-based exits
BTCUSD Performance
The table in the upper right corner is a comprehensive performance dashboard showing trading strategy statistics.
Note: While this presentation uses Vegas SuperTrend as the underlying strategy, this is merely an example. The Stats framework can be applied to any trading strategy. The Vegas SuperTrend implementation is included solely to demonstrate how the analytics module integrates with a trading strategy.
⚠️ Timeframe Limitations
Important: TradingView's backtesting engine has a maximum storage limit of 10,000 bars. When using this strategy stats framework on smaller timeframes such as 1-hour or 2-hour charts, you may encounter errors if your backtesting period is too long.
Recommended Timeframe Usage:
Ideal for: 4H, 6H, 8H, Daily charts and above
May cause errors on: 1H, 2H charts spanning multiple years
Not recommended for: Timeframes below 1H with long history
█ Strategy, How it Works: Detailed Explanation
The Strategy Stats framework consists of three primary components: statistical data collection, performance analysis, and visualization.
🔶 Statistical Data Collection
The system maintains several critical data arrays:
equityHistory: Tracks equity curve over time
tradeHistory: Records profit/loss of each trade
predictionSignals: Stores trade direction signals (1 for long, -1 for short)
actualReturns: Records corresponding actual returns from each trade
For each closed trade, the system captures:
float tradePnL = strategy.closedtrades.profit(tradeIndex)
float tradeReturn = strategy.closedtrades.profit_percent(tradeIndex)
int tradeType = entryPrice < exitPrice ? 1 : -1 // Direction
🔶 Performance Metrics Calculation
The framework calculates several key performance metrics:
Information Coefficient (IC):
The correlation between prediction signals and actual returns, measuring forecast skill.
IC = Correlation(predictionSignals, actualReturns)
Where Correlation is the Pearson correlation coefficient:
Correlation(X,Y) = (nΣXY - ΣXY) / √
Sortino Ratio:
Measures risk-adjusted return focusing only on downside risk:
Sortino = (Avg_Return - Risk_Free_Rate) / Downside_Deviation
Where Downside Deviation is:
Downside_Deviation = √
R_i represents individual returns, T is the target return (typically the risk-free rate), and n is the number of observations.
Maximum Drawdown:
Tracks the largest percentage drop from peak to trough:
DD = (Peak_Equity - Trough_Equity) / Peak_Equity * 100
🔶 Time Period Calculation
The system automatically determines the appropriate number of bars to analyze for each timeframe based on the current chart timeframe:
bars_7d = math.max(1, math.round(7 * barsPerDay))
bars_30d = math.max(1, math.round(30 * barsPerDay))
bars_90d = math.max(1, math.round(90 * barsPerDay))
bars_365d = math.max(1, math.round(365 * barsPerDay))
bars_4y = math.max(1, math.round(365 * 4 * barsPerDay))
Where barsPerDay is calculated based on the chart timeframe:
barsPerDay = timeframe.isintraday ?
24 * 60 / math.max(1, (timeframe.in_seconds() / 60)) :
timeframe.isdaily ? 1 :
timeframe.isweekly ? 1/7 :
timeframe.ismonthly ? 1/30 : 0.01
🔶 Visual Representation
The system presents performance data in a color-coded table with intuitive visual indicators:
Green: Excellent performance
Lime: Good performance
Gray: Neutral performance
Orange: Mediocre performance
Red: Poor performance
█ Trade Direction
The Strategy Stats framework supports three trading directions:
Long Only: Only takes long positions when entry conditions are met
Short Only: Only takes short positions when entry conditions are met
Both: Takes both long and short positions depending on market conditions
█ Usage
To effectively use the Strategy Stats framework:
Apply to existing strategies: Add the performance tracking code to any strategy to gain advanced analytics
Monitor multiple timeframes: Use the multi-timeframe analysis to identify performance trends
Evaluate strategy health: Review IC and Sortino ratios to assess predictive power and risk-adjusted returns
Optimize parameters: Use performance data to refine strategy parameters
Compare strategies: Apply the framework to multiple strategies to identify the most effective approach
For best results, allow the strategy to generate sufficient trade history for meaningful statistical analysis (at least 20-30 trades).
█ Default Settings
The default settings have been carefully calibrated for cryptocurrency markets:
Performance Tracking:
Time periods: 7D, 30D, 90D, 1Y, 4Y
Statistical measures: Return, Win%, MaxDD, IC, Sortino Ratio
IC color thresholds: >0.3 (green), >0.1 (lime), <-0.1 (orange), <-0.3 (red)
Sortino color thresholds: >1.0 (green), >0.5 (lime), <0 (red)
Multi-Step Take Profit:
ATR multipliers: 2.618, 5.0, 10.0
Percentage levels: 3%, 8%, 17%
Short multiplier: 1.5x (makes short take profits more aggressive)
Stop loss: 20%
Multi-TF Support LevelsThe Multi-TF Support Levels indicator identifies and displays key support levels based on swing lows across three user-selected timeframes.
How it works:
Input Parameters:
Lookback Period (100) — historical depth to search for swing lows.
Timeframe 1-3 (15, 45, 240) — three timeframes (e.g., 15min, 45min, 4hr).
Logic:
For each timeframe, a swing low is detected: the lowest price within the lookback period that is also lower than the two preceding candles.
Support levels update dynamically when new swing lows are formed.
The most recent levels are plotted as horizontal cross marks (blue, red, green for each timeframe).
Purpose: Visualize significant support zones from multiple timeframes to identify confluent areas for trading decisions.
Индикатор Multi-TF Support Levels (Мультитаймфреймовые уровни поддержки) определяет и отображает ключевые уровни поддержки на основе минимумов свингов (swing lows) на трёх выбранных таймфреймах.
Как работает:
Входные параметры:
Lookback Period (100) — глубина анализа для поиска минимумов.
Timeframe 1-3 (15, 45, 240) — три таймфрейма (например, 15 минут, 45 минут, 4 часа).
Логика:
Для каждого таймфрейма определяется свинг-минимум: цена, которая является самой низкой за период lookback и ниже двух предыдущих свечей.
Уровни поддержки обновляются при появлении новых свинг-минимумов.
Последние актуальные уровни отображаются на графике в виде горизонтальных линий-крестиков (синий, красный, зелёный для каждого таймфрейма).
Цель: Визуализировать значимые уровни поддержки с разных таймфреймов для поиска зон "конфлюэнса".
NIFTY EXPLORER COPYFOR NIFTY 50
The NIFTY 50 is an Indian stock market index that represents the float-weighted average of 50 of the largest Indian companies listed on the National Stock Exchange. Nifty 50 is owned and managed by NSE Indices, which is a wholly owned subsidiary of the National Stock Exchange of India.
Scalping Strategy Signal v2 by [INFINITYTRADER]Overview
This Pine Script (v6) implements a scalping strategy that uses higher timeframe data (default: 4H) to generate entry and exit signals, originally designed for the 15-minute timeframe with an option for 30-minute charts. The "Scalping Strategy Signal v2 by " integrates moving averages, RSI, volume, ATR, and candlestick patterns to identify trading opportunities. It features adjustable risk management with ATR-based stop-loss, take-profit, and trailing stops, plus dynamic position sizing based on user-set capital. Trades trigger only on the higher timeframe candle close (e.g., 4H) to limit activity within the same period. This closed-source script offers a structured scalping approach, blending multiple entry methods and risk controls for adaptability across market conditions.
What Makes It Unique
Unlike typical scalping scripts relying on single-indicator triggers (e.g., RSI alone or basic MA crossovers), this strategy combines four distinct entry methods—standard MA crossovers, RSI-based momentum shifts, trend-following shorts, and candlestick pattern logic—evaluated on a 4H timeframe for confirmation. This multi-layered design, paired with re-entry logic after losses and a mix of manual, ATR-based, and trailing exits, aims to balance trade frequency and reliability. The higher timeframe filter adds precision not commonly found in simpler scalping tools, while the 30-minute option enhances consistency by reducing noise.
How It Works
Timeframe Logic
Runs on a base timeframe (designed for 15-minute charts, with a 30-minute option) while pulling data from a user-chosen higher timeframe (default: 4H) for signal accuracy.
Limits entries to the close of each 4H candle, ensuring one trade per period to avoid over-trading in volatile conditions.
Indicators and Data
Moving Averages : Employs 21-period and 50-period simple moving averages on the higher timeframe to detect trends and signal entries/exits.
Volume : Requires volume to exceed 70% of its 20-period average on the higher timeframe for momentum confirmation.
RSI : Uses a 14-period RSI for overbought/oversold filtering and a 6-period RSI for precise entry timing.
ATR : Applies a 14-period Average True Range on the higher timeframe to set adaptive stop-loss and take-profit levels.
Candlestick Patterns : Analyzes consecutive green or red 4H bars for trend continuation signals.
Why These Indicators
The blend of moving averages, RSI, volume, ATR, and candlestick patterns forms a robust scalping framework. Moving averages establish trend context, RSI filters momentum and avoids extremes, volume confirms market activity, ATR adjusts risk to volatility, and candlestick patterns enhance entry timing with price action insights. Together, they target small, frequent moves in flat or trending markets, with the 4H filter reducing false signals common in lower-timeframe scalping.
Entry Conditions
Four entry methods are evaluated at the 4H candle close:
Standard Long Entry: Price crosses above the 21-period moving average, volume exceeds 70% of its 20-period average, and the 1H 14-period RSI is below 70—confirms uptrend momentum.
Special Long Entry: The 6-period RSI crosses above 23, price is more than 1.5 times the ATR from the 21-period moving average, and price exceeds its prior close—targets oversold bounces with a stop-loss at the 4H candle’s low.
Short Entries:
- RSI-Based: The 6-period RSI crosses below 68 with volume support—catches overbought pullbacks.
- Trend-Based: Price crosses below the 21-period moving average, volume is above 70% of its average, and the 1H 14-period RSI is above 30—confirms downtrends.
Red/Green Bar Logic: Two consecutive green 4H bars for longs or red 4H bars for shorts—uses candlestick patterns for continuation, with a tight stop-loss from the base timeframe candle.
Re-Entry Logic
Long : After a losing special long, triggers when the 6-period RSI crosses 27 and price crosses the 21-period moving average.
Short : After a losing short, triggers when the 6-period RSI crosses 50 and price crosses below the 21-period moving average.
Purpose: Offers recovery opportunities with stricter conditions.
Exit Conditions
Manual Exits: Longs close if the 21-period MA crosses below the 50-period MA or the 1H 14-period RSI exceeds 68; shorts close if the 21-period MA crosses above the 50-period MA or RSI drops below 25.
ATR-Based TP/SL: Stop-loss is entry price ± ATR × 1.5 (default); take-profit is ± ATR × 4 (default), checked at 4H close.
Trailing Stop: Adjusts ±6x ATR from peak/trough, closing if price retraces within 1x ATR.
Special/Tight SL: Special longs exit if price opens below the 4H candle’s low; 4th method entries use the base timeframe candle’s low/high, checked every bar.
Position Sizing
Bases trade value on user-set capital (default: 100 USDT), dividing by the higher timeframe close price for dynamic sizing.
Visualization
Displays a table at the bottom-right with current/previous signals, TP/SL levels, equity, trading pair, and trade size—color-coded for clarity (green for buy, red for sell).
Inputs
Initial Capital (USDT): Sets trade value (default: 100, min: 1).
ATR Stop-Loss Multiplier: Adjusts SL distance (default: 1.5, min: 1).
ATR Take-Profit Multiplier: Adjusts TP distance (default: 4, min: 1).
Higher Timeframe: Selects analysis timeframe (options: 1m, 5m, 15m, 30m, 1H, 4H, D, W; default: 4H).
Usage Notes
Intended Timeframe: Designed for 15-minute charts with 4H confirmation for precision and frequency; 30-minute charts improve consistency by reducing noise.
Backtesting: Adjust ATR multipliers and capital to match your asset’s volatility and risk tolerance.
Risk Management: Combines manual, ATR, and trailing exits—monitor to avoid overexposure.
Limitations: 4H candle-close dependency may delay entries in fast markets; RSI/volume filters can reduce trades in low-momentum periods.
Backtest Observations
Tested on BTC/USDT (4H higher timeframe, default settings: Initial Capital: 100 USDT, ATR SL: 1.5x, ATR TP: 4x) across market conditions, comparing 15-minute and 30-minute charts:
Bull Market (Jul 2023 - Dec 2023):
15-Minute: 277 long, 219 short; Win Rate: 42.74%; P&L: 108%; Drawdown: 1.99%; Profit Factor: 3.074.
30-Minute: 257 long, 215 short; Win Rate: 49.58%; P&L: 116.85%; Drawdown: 2.34%; Profit Factor: 3.14.
Notes: Moving average crossovers and green bar patterns suited this bullish phase; 30-minute improved win rate and P&L by filtering weaker signals.
Bear Market (Jan 2022 - Jun 2022):
15-Minute: 262 long, 211 short; Win Rate: 44.4%; P&L: 239.80%; Drawdown: 3.74%; Profit Factor: 3.419.
30-Minute: 250 long, 200 short; Win Rate: 52.22%; P&L: 258.77%; Drawdown: 5.34%; Profit Factor: 3.461.
Notes: Red bar patterns and RSI shorts thrived in the downtrend; 30-minute cut choppy reversals for better consistency.
Flat Market (Jan 2021 - Jun 2021):
15-Minute: 280 long, 208 short; Win Rate: 51.84%; P&L: 340.33%; Drawdown: 9.59%; Profit Factor: 2.924.
30-Minute: 270 long, 209 short; Win Rate: 55.11%; P&L: 315.42%; Drawdown: 7.21%; Profit Factor: 2.598.
Notes: High trade frequency and P&L showed strength in ranges; 30-minute lowered drawdown for better risk control.
Results reflect historical performance on BTC/USDT with default settings—users should test on their assets and timeframes. Past performance does not guarantee future results and is shared only to illustrate the strategy’s behavior.
Why It Works Well in Flat Markets
A "flat market" lacks strong directional trends, with price oscillating around moving averages, as in Jan 2021 - Jun 2021 for BTC/USDT. This strategy excels here because its crossover-based entries trigger frequently in tight ranges. In trending markets, an exit might not be followed by a new entry without a pullback, but flat markets produce multiple crossovers, enabling more trades. ATR-based TP/SL and trailing stops capture these small swings, while RSI and volume filters ensure momentum, driving high P&L and win rates.
Technical Details
Built in Pine Script v6 for TradingView compatibility.
Prevents overlapping trades with long/short checks.
Handles edge cases like zero division and auto-detects the trading pair’s base currency (e.g., BTC from BTCUSDT).
This strategy suits scalpers seeking structured entries and risk management. Test on 15-minute or 30-minute charts to match your style and market conditions.
SuperTrend AI (Clustering) [YC] - 15minThis indicator enhances the traditional SuperTrend by integrating AI-based clustering techniques, optimizing factor selection for better trend detection. Designed for trading in a 15-minute time frame, it adapts dynamically to market conditions, helping traders identify trends with improved accuracy.
Livelli Sessioni Multi-Timeframe (NY Time)📌 This script automatically draws the highest and lowest closing prices from the previous session, based on the active timeframe:
On M15, it calculates the highest and lowest closes of each 6-hour session block (00–06, 06–12, 12–18, 18–00 — New York time).
On H1, it uses the highest and lowest closes of the entire previous day (NY time).
On H4, it uses the highest and lowest closes of the previous week (NY time).
🔁 Levels are only shown during the current session and automatically reset when the session changes.
🧭 All calculations are based on the New York time zone (EST/EDT).
🎯 Designed for traders who focus on clean and reliable reference levels based on price closes rather than wicks — ideal for intraday and swing trading.
📉 Display style: thin black lines, with optional touch markers.
Compatible with Forex, indices, crypto, and more.
🛠️ Created by @bordimichele00
S/R Zones (Daily and Weekly) from 1H CandlesSupport & Resistance Zone Indicator – Beta Version
Important Notice:
Higher timeframe accuracy through lower timeframe data – This indicator extracts data from lower timeframes (1H) to provide more precise daily and weekly support & resistance zones. However, due to Pine Script’s limitations, this script must be applied on a 1H chart, even it is designed for trading on the daily or weekly timeframes .
🚨 Usage Restriction:
✅ Apply this indicator ONLY on a 1H chart but trade on the daily and weekly timeframes for proper functionality.
❌ It will not work correctly if applied directly on daily or weekly charts. I regret that there is no way to bypass this limitation unless TradingView lifts its constraints for fetching data from lower timeframes.
⚠ Beta Version – This indicator is still under development and subject to refinements.
Support & Resistance Categorisation:
This indicator identifies S/R zones based on price-weighted volume on lower timeframes (1H), making it significantly more accurate than those relying solely on current or higher timeframes. To improve reliability, each zone requires a confirmation period of 3 days/weeks before appearing on the chart.
Zone Colors & Labels:
Blue – Daily Support
Orange – Daily Resistance
Green – Weekly Support
Red – Weekly Resistance
By leveraging historical data and volume-based confirmation, this tool enhances support/resistance precision.
How to Use It:
This indicator is designed for daily & weekly trading setups but MUST be applied to a 1H chart.
Use these zones to identify retests and breakouts in your trading strategy.
Currently optimised for crypto & tech stocks. While it may work for commodities and FX, parameter adjustments might be required for optimal performance.
📌 Beta Build Limitations:
Displays only 20 historical daily zones and 10 historical weekly zones for now. Use replay mode to check earlier zones.
Future updates will introduce customisation options, including:
Number of historical zones displayed
Adjustable zone colors
Risk preference settings per timeframe
…
Final Thoughts:
This indicator acts as a signal generator for long and short trades and will soon be integrated with my risk indicator as part of a larger trading strategy.
As this is an early beta version, further refinements are planned, and I welcome any user feedback for improvements.
📢 Stay tuned for updates, and happy trading! 🚀
Spent Output Profit Ratio (SOPR) Z-Score | [DeV]SOPR Z-Score
The Spent Output Profit Ratio (SOPR) is an advanced on-chain metric designed to provide deep insights into Bitcoin market dynamics by measuring the ratio between the combined USD value of all Bitcoin outputs spent on a given day and their combined USD value at the time of creation (typically, their purchase price). As a member of the Realized Profit/Loss family of metrics, SOPR offers a window into aggregate seller behavior, effectively representing the USD amount received by sellers divided by the USD amount they originally paid. This indicator enhances this metric by normalizing it into a Z-Score, enabling a statistically robust analysis of market sentiment relative to historical trends, augmented by a suite of customizable features for precision and visualization.
SOPR Settings -
Lookback Length (Default: 150 days): Determines the historical window for calculating the Z-Score’s mean and standard deviation. A longer lookback captures broader market cycles, providing a stable baseline for identifying extreme deviations, which is particularly valuable for long-term strategic analysis.
Smoothing Period (Default: 100 days): Applies an EMA to the raw SOPR, balancing responsiveness to recent changes with noise reduction. This extended smoothing period ensures the indicator focuses on sustained shifts in seller behavior, ideal for institutional-grade trend analysis.
Moving Average Settings -
MA Lookback Length (Default: 90 days): Sets the period for the Z-Score’s moving average, offering a shorter-term trend signal relative to the 150-day Z-Score lookback. This contrast enhances the ability to detect momentum shifts within the broader context.
MA Type (Default: EMA): Provides six moving average types, from the simple SMA to the volume-weighted VWMA. The default EMA strikes an optimal balance between smoothness and responsiveness, while alternatives like HMA (Hull) or VWMA (volume-weighted) allow for specialized applications, such as emphasizing recent price action or incorporating volume dynamics.
Display Settings -
Show Moving Average (Default: True): Toggles the visibility of the Z-Score MA plot, enabling users to focus solely on the raw Z-Score when preferred.
Show Background Colors (Default: True): Activates dynamic background shading, enhancing visual interpretation of market regimes.
Background Color Source (Default: SOPR): Allows users to tie the background color to either the SOPR Z-Score’s midline (reflecting adjustedZScore > 0) or the MA’s trend direction (zScoreMA > zScoreMA ). This dual-source option provides flexibility to align the visual context with the primary analytical focus.
Analytical Applications -
Bear Market Resistance: When the Z-Score approaches or exceeds zero (raw SOPR near 1), it often signals resistance as sellers rush to exit at break-even, a pattern historically observed during downtrends. A rising Z-Score MA crossing zero can confirm this pressure.
Bull Market Support: Conversely, a Z-Score dropping below zero in uptrends indicates reluctance to sell at a loss, forming support as sell pressure diminishes. The MA’s bullish coloring reinforces confirmation of renewed buying interest.
Extreme Deviations: Values significantly above or below zero highlight overbought or oversold conditions, respectively, offering opportunities for contrarian positioning when paired with other on-chain or price-based metrics.
Advanced Momentum Indicators BiasThis script is a versatile tool designed to analyze and display the directional bias of up to 25 technical momentum indicators on a trading chart. It does not overlay on the price chart, instead presenting its results in a separate, customizable table. The table shows whether each selected indicator signals an "up" or "down" trend, with some indicators further categorized by signal strength ("strong" or "weak"). This provides traders with a consolidated view of market momentum and trend direction.
Key Features
1. Indicator Selection and Customization
Supported Indicators: The script allows users to toggle the inclusion of 25 technical indicators:
RSI, MACD, Stochastic, MFI, Williams %R, CCI, ADX, ROC, Momentum, Ichimoku, Parabolic SAR, Aroon, OBV, Chaikin Oscillator, Ultimate Oscillator, Trix, Bull Bear Power, Elder Ray, Gator Oscillator, Keltner Channels, Schaff Trend Cycle, Zig Zag, Donchian Channels, Envelopes, and Fractals.
Customization Options:
Table Position: Choose from top-left, top-right, bottom-left, or bottom-right on the chart.
Colors: Set colors for "up" (e.g., green) and "down" (e.g., red) directions, as well as text color.
Display Toggles: Show/hide the table, individual indicator rows, or a total count row.
2. Advanced Direction Calculation
Oscillator Logic: For indicators like RSI, MACD, and Stochastic (oscillators), the script uses advanced logic to determine direction:
It checks the indicator’s level against a threshold (e.g., 50 for RSI) and its trend (rising or falling).
Possible outcomes:
Strong Up: Above threshold and rising.
Weak Up: Above threshold but falling.
Strong Down: Below threshold and falling.
Weak Down: Below threshold but rising.
Simple Logic: For trend-based indicators (e.g., ADX, Ichimoku, Parabolic SAR), a straightforward "up" or "down" is determined using indicator-specific criteria.
3. Table Display
Structure: The table has two columns:
Indicator Name: Lists the selected indicators.
Direction: Shows "Up" or "Down" with color coding.
Color Coding:
Strong Up: Solid "up" color (e.g., green).
Weak Up: Lighter "up" color.
Strong Down: Solid "down" color (e.g., red).
Weak Down: Lighter "down" color.
Simple indicators (without strength logic) use solid "up" or "down" colors.
Rows: Includes a header row, optional rows for each indicator (if enabled), and an optional total row.
4. Total Count Toggle
Toggle Option: "Use Advanced Counts" switches between two display modes for the total row:
Simple Mode (Off): Shows total "up" and "down" counts (e.g., "5 up, 3 down").
Advanced Mode (On): Breaks down counts into "Strong Up," "Weak Up," "Strong Down," and "Weak Down" (e.g., "Strong Up: 2, Weak Up: 3, Strong Down: 1, Weak Down: 2").
This flexibility caters to traders seeking either a quick summary or detailed insights.
5. Manual Calculations
For indicators not natively supported in Pine Script (e.g., TRIX, OBV, Chaikin Oscillator, Ultimate Oscillator), the script includes manual calculations to ensure full functionality.
How It Works
Direction Calculation:
Each indicator’s direction is computed based on its type (advanced for oscillators, simple for others).
Counters track "up," "down," "strong_up," "weak_up," "strong_down," and "weak_down."
Simple indicators contribute to "strong_up" (for "up") or "strong_down" (for "down") counts.
Table Generation:
The script calculates the number of rows based on included indicators and display options.
It builds the table in the user-specified position, populating it with indicator names and directions.
Colors reflect direction strength, enhancing visual interpretation.
Total Row:
If enabled, the total row reflects either simple or advanced counts, depending on the toggle setting.
Purpose
This script is ideal for traders who want a quick, customizable snapshot of momentum across multiple indicators. By distinguishing between strong and weak signals (for oscillators) and offering both simple and advanced summary options, it supports both high-level trend analysis and detailed market studies. Whether you’re a beginner looking for a basic "up/down" bias or an advanced trader analyzing signal strength, this tool adapts to your needs.
CVD Divergence Insights📘 CVD Divergence Insights – by Colicoid
Pine Script v6 | Volume Delta Divergence Oscillator with Spike Detection
⸻
🔍 Overview
CVD Divergence Insights is a volume-aware oscillator and divergence spike detector that helps you spot smart money activity, absorption, failed pressure, and hidden strength or weakness — even when price action alone gives little away.
It works by comparing normalized Cumulative Volume Delta (CVD) against normalized price movement, and optionally applying a volume-weighting layer to highlight when aggressive participation is truly behind the divergence. The result is a dynamic visual tool that identifies tension in the market, and helps you trade based on how that tension resolves.
⸻
🧠 Core Concept
• When price moves one way and CVD moves another, it reflects imbalance between aggression and result.
• Divergence is not a trigger — it’s a build-up of pressure.
• The real edge lies in the resolution of that pressure.
• Optional volume-weighting helps you ignore noise and focus on high-conviction moves only.
⸻
⚙️ How It Works
1. CVD Calculation
CVD is generated using lower-timeframe delta volume (buy vs. sell pressure), accumulated per bar.
2. Oscillator
A normalized divergence between the smoothed CVD and smoothed price.
3. Volume Weighting (optional)
Emphasizes divergences occurring on higher-than-normal volume, deprioritizes low-volume noise.
4. Signal Line (optional)
A short EMA of the oscillator to help track momentum shifts (hidden by default).
5. Divergence Spikes
Statistical spike detection using standard deviation — green/red dots highlight unusually large divergence activity.
⸻
🎛️ Inputs
Anchor Period
Higher timeframe where the CVD is accumulated and processed.
Lower Timeframe
Optional override for granularity of buy/sell volume data.
SMA Length
Used for smoothing both price and CVD before divergence is calculated.
Volume Weighted?
Enables adaptive weighting based on relative volume size.
Volume Normalization Length
Lookback period used to define what is “normal” volume.
Divergence Spike Threshold
StdDev-based threshold to detect abnormally large divergences.
Signal Line Length
Controls the EMA smoothing of the optional signal line (hidden by default).
⸻
📈 Trade Setup Example: Hidden Bullish Divergence
1. Price forms a higher low, but CVD forms a lower low — hidden bullish divergence.
2. This shows aggressive sellers are trying, but price is resilient — likely absorption.
3. You wait for a "convergent signal bar":
• A bullish candle with strong structure or body
• Confirmed by CVD starting to turn upward
4. That’s your trigger bar — the tension resolves upward.
⸻
🤝 Recommended Pairings
For best results, combine CVD Divergence Insights with the companion script:
🔗 Cumulative Volume Delta Line (also by Colicoid)
This lets you:
• See the raw CVD line and its SMA visually
• Spot standard and hidden divergences in price/CVD directly
• Use the Insights indicator to evaluate divergence quality and flag aggressive bull/bear behavior
• Use the same SMA length on both indicators for alignment
👉 Tip: To save screen space, drag the CVD Line indicator into the same panel as CVD Divergence Insights.
⸻
🧰 Why Use This?
• ✅ Catch absorption setups and failed pressure zones
• ✅ Filter out low-quality divergences using volume context
• ✅ Understand why price is hesitating or breaking out
• ✅ Add smart confirmation to breakout/reversal trades
• ✅ Align your execution with who’s actually in control
⸻
📎 Created by Colicoid
Built in Pine Script v6 for advanced price-volume analysis, with focus on effort vs result, market psychology, and smart money detection.
deepseek Smart RSIFunctions and Uses
Objective Signal Confirmation
This indicator transforms RSI from a subjective judgment tool into a more objective signal confirmation tool.
Reducing False Signals
By using the crossover of RSI_2 and RSI_EMA to confirm trends, it reduces potential false signals that might occur with traditional RSI.
Trading Signal Generation
Buy Signal: RSI_2 crosses above RSI_EMA
Sell Signal: RSI_2 crosses below RSI_EMA
Trend Confirmation: Visually displays the current trend through background colors and candlestick colors
Overbought/Oversold Judgment: Retains the traditional RSI's overbought/oversold area functionality
How to Use
Adding the Indicator
Add this indicator to your chart in TradingView
Parameter Settings
RSI Period 1 (default 14): Main RSI calculation period
RSI Period 2 (default 5): Short period RSI used for signal generation
Exponential Average Period (default 14): RSI_1's EMA period
Overbought/Oversold Values (default 70/30): Traditional RSI overbought/oversold thresholds
Enable Candlestick Trend: Whether to change candlestick colors based on signals
Enable Indicator Background Color: Whether to change background colors based on signals
Signal Interpretation
Green Area (Deep Cyan): Bullish signal, consider buying or holding
Red Area (Magenta): Bearish signal, consider selling or waiting
RSI enters overbought zone (>70): Market may be overheated, watch for potential pullbacks
RSI enters oversold zone (<30): Market may be overcooled, watch for potential rebounds
Setting Alerts
You can set alerts for when RSI_2 crosses RSI_EMA
Use Alt+A shortcut to set alerts
The advantage of this indicator is that it converts subjective judgments into more objective confirmation mechanisms, helping traders avoid making inconsistent decisions due to emotional influences. It's particularly suitable as a confirmation tool for medium to long-term trading strategies.
ICT FVG & Swing Detector Basic by Trader RiazICT FVG & Swing Detector Basic by Trader Riaz
Unlock Precision Trading with the Ultimate Fair Value Gap (FVG) and Swing Detection Tool!
Developed by Trader Riaz , the ICT FVG and Swing Detector Basic is a powerful Pine Script indicator designed to help traders identify key market structures with ease. Whether you're a day trader, swing trader, or scalper, this indicator provides actionable insights by detecting Bullish and Bearish Fair Value Gaps (FVGs) and Swing Highs/Lows on any timeframe. Perfect for trading forex, stocks, crypto, and more on TradingView!
Key Features:
1: Bullish and Bearish FVG Detection
- Automatically identifies Bullish FVGs (highlighted in green) and Bearish FVGs (highlighted in red) to spot potential reversal or continuation zones.
- Displays FVGs as shaded boxes with a dashed midline at 70% opacity, making it easy to see the midpoint of the gap for precise entries and exits.
- Labels are placed inside the FVG boxes at the extreme right for clear visibility.
2: Customizable FVG Display
- Control the number of Bullish and Bearish FVGs displayed on the chart with user-defined inputs (fvg_bull_count and fvg_bear_count).
- Toggle the visibility of Bullish and Bearish FVGs with simple checkboxes (show_bull_fvg and show_bear_fvg) to declutter your chart.
3: Swing High and Swing Low Detection
- Detects Swing Highs (blue lines) and Swing Lows (red lines) to identify key market turning points.
- Labels are positioned at the extreme right edge of the lines for better readability and alignment.
- Customize the number of Swing Highs and Lows displayed (swing_high_count and swing_low_count) to focus on the most recent market structures.
4: Fully Customizable Display
- Toggle visibility for Swing Highs and Lows (show_swing_high and show_swing_low) to suit your trading style.
- Adjust the colors of Swing High and Low lines (swing_high_color and swing_low_color) to match your chart preferences.
5: Clean and Efficient Design
- Built with Pine Script v6 for optimal performance on TradingView.
- Automatically removes older FVGs and Swing points when the user-defined count is exceeded, keeping your chart clean and focused.
- Labels are strategically placed to avoid clutter while providing clear information.
Why Use This Indicator?
Precision Trading: Identify high-probability setups with FVGs and Swing points, commonly used in Smart Money Concepts (SMC) and Institutional Trading strategies.
User-Friendly: Easy-to-use inputs allow traders of all levels to customize the indicator to their needs.
Versatile: Works on any market (Forex, Stocks, Crypto, Commodities) and timeframe (1M, 5M, 1H, 4H, Daily, etc.).
Developed by Trader Riaz: Backed by the expertise of Trader Riaz, a seasoned trader dedicated to creating tools that empower the TradingView community.
How to Use:
- Add the Custom FVG and Swing Detector to your chart on TradingView.
- Adjust the input settings to control the number of FVGs and Swing points displayed.
- Toggle visibility for Bullish/Bearish FVGs and Swing Highs/Lows as needed.
- Use the identified FVGs and Swing points to plan your trades, set stop-losses, and target key levels.
Ideal For:
- Traders using Smart Money Concepts (SMC), Price Action, or Market Structure strategies.
- Those looking to identify liquidity grabs, imbalances, and trend reversals.
- Beginners and advanced traders seeking a reliable tool to enhance their technical analysis.
Happy trading!
Intraday Trend LinesTradingView Indicator Description: Options-Based Swing Range Forecast
Core Mechanism
This indicator calculates expected price swing ranges for key assets using daily post-market options block trade data, projecting high (resistance) and low (support) levels for:
Next Trading Day (T+1)
Two Days Ahead (T+2)
End of Current Week (Friday)
End of Next Week (Next Friday)
Dual horizontal lines connect the prediction start time (16:00 EST) to the target date's close time (16:00 EST), marking the forecasted range.
Supported Assets
Direct Calculation Indirect Derivation*
SPY SPX (via SPY data)
IWM NDX (via QQQ data)
QQQ IXIC (via QQQ data)
DIA RUT (via IWM data)
TLT SOX
*Indices derived from ETF options data using volatility conversion.
Key Features
Dynamic Updates:
New ranges calculated daily after market close.
Click the 🌀 Refresh button next to the indicator name to load latest data.
Visual Clarity:
Resistance (blue) and support (purple) lines with semi-transparent labels.
Hover labels show date range and swing metrics (e.g., Swing: 36.1 (2.5%)).
Algorithm Basis
Options Gamma Exposure: Identifies high gamma strike clusters.
Volatility Surface Fitting: Derives expected move boundaries.
ETF-to-Index Conversion: SPX/NDX/IXIC ranges scaled from SPY/QQQ data.
Usage Notes
⚠️ Critical Reminders:
SPX/NDX/IXIC: Ranges inferred from ETF liquidity (not direct options data).
Intraday Expiry: Lines auto-expire at 16:00 EST on target dates.
Market Risks: Ranges reflect options trader consensus, not guarantees. Combine with volume/trend analysis.
Compliance Statement
Closed-source logic compliant with TradingView rules.
Core methodology reviewed by moderators (gamma/volatility analysis).
Skybull - TimeRay AnalyzerSkybull - TimeLine Analyzer
Unlock multi-timeframe mastery with TimeLine Analyzer, a premium indicator that projects High, Low, and Close levels from a higher timeframe as customizable horizontal rays—enhanced with a dynamic offset and real-time price proximity alerts. Designed for traders who demand precision, this tool bridges short-term action with long-term context, helping you spot key levels and act when it matters most.
What Makes It Unique?
TimeLine Analyzer isn’t just another level-plotter—it’s a dual-purpose powerhouse. The Dynamic Offset lets you rewind higher timeframe data (e.g., fetch the 4h High from 3 bars ago), revealing historical zones that shape today’s price. Paired with Price Proximity Alerts, it flags when the current price nears these levels within a custom percentage—think instant support/resistance signals. No free script combines this flexibility and live feedback.
How It Works
Using Pine Script, TimeLine fetches High, Low, and Close from your chosen higher timeframe, offset by a user-defined number of bars. These are drawn as rays with adjustable colors, widths, and extensions (None, Right, Both). The proximity alert calculates the percentage distance between the current price and each level, popping up labels when price gets close (e.g., within 0.5%). A sleek label shows your settings, keeping it mobile-friendly and clutter-free.
Features
Higher Timeframe Rays: Plots High, Low, and Close from any timeframe (1m to 1mo).
Dynamic Offset: Shift levels back 1–100 bars in the higher timeframe for historical insight.
Price Alerts: Flags when price is within 0.1–5% of a level, with live labels.
Customizable: Set ray colors, widths (1–10), and extensions to match your style.
Mobile-Ready: A compact label displays timeframe and offset.
Usage Examples
Breakout Prep: On a 15m chart, set a 1d timeframe with a 2-bar offset to see yesterday’s Close—get alerted when price nears it for a breakout.
Reversal Zones: Use a 4h timeframe with “Both” extension and a 0.5% alert threshold to catch reversals at historical Lows.
Scalping Edge: Bold rays (width 3) and a 1h offset on a 5m chart highlight key levels, with alerts for fast entries.
Settings
Higher Timeframe: Pick your timeframe (e.g., 4h, 1d).
Bars Back: Offset data 1–100 bars (default: 1).
Price Proximity Alert (%): Set 0.1–5% for alert sensitivity (default: 0.5).
Line Colors: Customize High, Low, and Close rays.
Line Width: Adjust thickness (1–10, default: 1).
Line Extension: None, Right, or Both.
Why It’s Worth It
TimeLine Analyzer delivers what free tools can’t: historical depth plus real-time precision. The offset uncovers hidden levels, while alerts turn static lines into live signals—perfect for scalpers, swing traders, and strategists. As an invite-only tool, it’s built for serious traders who want an edge without the noise.
Gann LV Price/Time (EN)Gann LV Price/Time
This indicator is based on William Gann’s methods, the Law of Vibration, and classic wave analysis. Unlike traditional Gann tools, it employs adaptive trend analysis, combining angular acceleration, price-to-time ratio, and resonance zones. This allows for more precise identification of key support and resistance levels and enhances the ability to forecast potential trend reversals.
🔹 Key Features
✔ Customizable key points (A, B, C) – the user selects three significant points that form the basis of the analysis.
✔ Price calculation methods – the option to consider candle wicks, candle bodies, or an average price.
✔ Automatic trend structure analysis – the indicator determines whether the market is in an impulse or corrective phase.
✔ Support and resistance level forecasting – based on Gann’s Law of Vibration, making calculations dynamic.
✔ Identification of time-based reversal zones – key time cycles that influence trends are analyzed.
✔ Price resonance zones – special areas where the price reaches maximum sensitivity and may reverse direction.
✔ Market noise filtering – intelligent smoothing and volatility adaptation techniques are applied.
🔹 How Does the Indicator Work?
1️⃣ Defining Key Points A, B, C
These points serve as the foundation of the analysis, helping to determine trend direction and potential reversal zones.
2️⃣ Angular Acceleration Analysis
The indicator assesses whether the angle between points is accelerating or decelerating, allowing traders to identify trend strength and potential turning points.
3️⃣ Detection of Price Resonance Zones
Every market has its own natural vibration frequencies—moments when the price is most susceptible to trend shifts. The indicator analyzes these patterns and identifies key levels where reversals may occur.
4️⃣ Identification of Time-Based Trend Reversal Zones
Time cycles play a crucial role in price movements. By analyzing market rhythm patterns, the indicator forecasts probable trend reversal points, providing additional confirmation for trading decisions.
🔹 What Are Price Resonance Zones?
Resonance zones are areas on the chart where the price encounters an "invisible barrier" based on Gann’s Law of Vibration. These zones form when natural price and time rhythms align, creating an effect similar to acoustic or mechanical resonance.
Within these zones:
Trends slow down or accelerate.
There is a high probability of a reversal.
Key support and resistance levels become stronger.
The indicator automatically identifies these intersections, helping traders find optimal entry and exit points.
🔹 Where to Apply It?
✔ For identifying entry and exit points – helps detect the most probable trend reversal zones.
✔ For market cycle analysis – understanding market rhythms enables more accurate forecasting.
✔ For filtering false breakouts – resonance zones can confirm or invalidate potential breakouts.
📌 Important: This indicator does not guarantee profits; it serves as a supportive tool for comprehensive technical analysis.