Trend Strength MeterThe Trend Strength Meter (TSM) is a powerful and versatile indicator designed to help traders identify market trends, measure their strength, and detect potential reversals with ease. This indicator combines the power of moving averages, divergence detection, and a clean, customizable dashboard to provide actionable insights for traders of all levels.
How It Works
Trend Strength Calculation:
1. The TSM calculates the trend strength using the difference between two Exponential Moving Averages (EMAs): a fast EMA (default: 20) and a slow EMA (default: 50).
2. The difference is expressed as a percentage of the slow EMA, providing a clear measure of the trend's strength and direction.
Histogram Visualization:
1. A color-coded histogram visually represents the trend strength:
Green: Bullish trend
Red: Bearish trend
Gray: Neutral or no significant trend
2. A smoothed trend strength line (SMA of the trend strength) is also plotted for better clarity.
Divergence Detection:
1. The indicator detects bullish and bearish divergences using the RSI (Relative Strength Index) and price action.
2. Bullish Divergence: Price makes a lower low, but RSI makes a higher low, signaling potential upward momentum.
3. Bearish Divergence: Price makes a higher high, but RSI makes a lower high, signaling potential downward momentum.
=> Divergences are marked with arrows on the chart:
Green Arrow: Bullish divergence
Red Arrow: Bearish divergence
Dashboard:
1. A clean and informative dashboard displays key information:
Trend Strength Value: The current strength of the trend
Trend Direction: Bullish, Bearish, or Neutral
Last Signal: Buy, Sell, or None (based on divergence signals)
The dashboard is fully customizable and can be positioned anywhere on the chart (e.g., top-right, bottom-left, center, etc.).
Key Features
1. Trend Strength Measurement: Quickly identify the strength and direction of the trend.
2. Divergence Detection: Spot potential reversals before they occur with bullish and bearish divergence signals.
3. Customizable Dashboard: Move the dashboard to your preferred location on the chart for better visibility.
4. User-Friendly Design: Clean visuals and intuitive color coding make it easy to interpret market conditions.
5. Actionable Signals: Provides clear Buy/Sell signals based on divergence, helping traders make informed decisions.
How to Use
1. Trend Confirmation:
Use the histogram and trend strength value to confirm the current market trend.
Green bars indicate a bullish trend, while red bars indicate a bearish trend.
2. Divergence Signals:
Look for divergence arrows (green for bullish, red for bearish) to anticipate potential reversals.
Combine divergence signals with other technical analysis tools for higher accuracy.
3. Dashboard Insights:
Monitor the dashboard for real-time updates on trend strength, direction, and the latest signal.
Use the "Last Signal" (Buy/Sell) to validate your trading decisions.
4. Custom Settings:
Adjust the EMA lengths and divergence lookback period to suit your trading style and timeframe.
Position the dashboard anywhere on the chart for convenience.
Best Practices
1. Use the TSM in conjunction with other indicators or price action analysis for confirmation.
2. Test the indicator on different timeframes to find the one that works best for your strategy.
3. Always practice proper risk management when trading.
Disclaimer
This indicator is a tool to assist in technical analysis and should not be used as a standalone trading strategy. Past performance is not indicative of future results. Always conduct your own research and consult with a financial advisor before making trading decisions.
Hareketli Ortalamalar
Adv EMA Cloud v6 (ADX, Alerts)Summary:
This indicator provides a multi-faceted view of market trends using Exponential Moving Averages (EMAs) arranged in visually intuitive clouds, enhanced with an optional ADX-based range filter and configurable alerts for key market conditions. It aims to help traders quickly gauge trend alignment across short, medium, and long timeframes while filtering signals during potentially choppy market conditions.
Key Features:
Multiple EMAs: Displays 10-period (Fast), 20-period (Mid), and 50-period (Slow) EMAs.
Long-Term Trend Filter: Includes a 200-period EMA to provide context for the overall dominant trend direction.
Dual EMA Clouds:
Fast/Mid Cloud (10/20 EMA): Fills the area between the 10 and 20 EMAs. Defaults to Green when 10 > 20 (bullish short-term momentum) and Red when 10 < 20 (bearish short-term momentum).
Mid/Slow Cloud (20/50 EMA): Fills the area between the 20 and 50 EMAs. Defaults to Aqua when 20 > 50 (bullish mid-term trend) and Fuchsia when 20 < 50 (bearish mid-term trend).
Optional ADX Range Filter: Uses the Average Directional Index (ADX) to identify potentially non-trending or choppy markets. When enabled and ADX falls below a user-defined threshold, the EMA clouds will turn grey, visually warning that trend-following signals may be less reliable.
Configurable Alerts: Provides several built-in alert conditions using Pine Script's alertcondition function:
Confluence Condition: Triggers when a 10/20 EMA crossover occurs while both EMA clouds show alignment (both bullish/green/aqua or both bearish/red/fuchsia) and price respects the 200 EMA filter and the ADX filter indicates a trend (if filters are enabled).
MA Filter Cross: Triggers when price crosses above or below the 200 EMA filter line.
Full Alignment Start: Triggers on the first bar where full bullish or bearish alignment occurs (both clouds aligned + MA filter respected + ADX trending, if filters are enabled).
How It Works:
EMA Calculation: Standard Exponential Moving Averages are calculated for the 10, 20, 50, and 200 periods based on the closing price.
Cloud Creation: The fill() function visually shades the area between the 10 & 20 EMAs and the 20 & 50 EMAs.
Cloud Coloring: The color of each cloud is determined by the relationship between the two EMAs that define it (e.g., if EMA 10 is above EMA 20, the first cloud is bullish-colored).
ADX Filter Logic: The script calculates the ADX value. If the "Use ADX Trend Filter?" input is checked and the calculated ADX is below the specified "ADX Trend Threshold", the script considers the market potentially ranging.
ADX Visual Effect: During detected ranging periods (if the ADX filter is active), the plotCloud12Color and plotCloud23Color variables are assigned a neutral grey color instead of their normal bullish/bearish colors before being passed to the fill() function.
Alert Logic: Boolean variables track the specific conditions (crossovers, cloud alignment, filter positions, ADX state). The alertcondition() function creates triggerable alerts based on these pre-defined conditions.
Potential Interpretation (Not Financial Advice):
Trend Alignment: When both clouds share the same directional color (e.g., both bullish - Green & Aqua) and price is on the corresponding side of the 200 EMA filter, it may suggest a stronger, more aligned trend. Conversely, conflicting cloud colors may indicate indecision or transition.
Dynamic Support/Resistance: The EMA lines themselves (especially the 20, 50, and 200) can sometimes act as dynamic levels where price might react.
Range Warning: Greyed-out clouds (when ADX filter is enabled) serve as a visual warning that trend-based strategies might face increased difficulty or whipsaws.
Confluence Alerts: The specific confluence alerts signal moments where multiple conditions align (crossover + cloud agreement + filters), which some traders might view as higher-probability setups.
Customization:
All EMA lengths (10, 20, 50, 200) are adjustable via the Inputs menu.
The ADX length and threshold are configurable.
The MA Trend Filter and ADX Trend Filter can be independently enabled or disabled.
Disclaimer:
This indicator is provided for informational and educational purposes only. Trading financial markets involves significant risk. Past performance is not indicative of future results. Always conduct your own thorough analysis and consider your risk tolerance before making any trading decisions. This indicator should be used in conjunction with other analysis methods and tools. Do not trade based solely on the signals or visuals provided by this indicator.
PARKER Currency Strength with RESETS v 3.00PARKER Currency Strength v3.00 is a comprehensive multi-currency strength indicator designed for Forex traders who want detailed insights into major currency performance. Here are some of its key features:
Customizable Session Resets:
The indicator supports automatic resets of currency strength calculations at the start of each major market session (Sydney, Tokyo, London, and New York). You can also enable a custom reset with a user-defined reset time and name.
User-Defined Market Hours:
With the new "Market Settings" section, you can set the open and close times for each market (Sydney, Tokyo, London, and New York) using hour and minute inputs. This allows you to tailor the session times to your local time zone or trading preferences.
Session Shading and Labels:
The background color of the indicator pane changes based on the active market session. Labels are generated at the start of each session to provide clear visual cues. Market session labels and times are also displayed on the chart for quick reference.
Dual Mode Display:
In addition to the reset-based currency strength calculations, the indicator can plot "normal" (continuous) currency strength lines at 50% transparency, allowing you to compare different calculation methods side by side.
Fully Customizable Appearance:
Customize line colors, widths, and offsets for each currency pair via user inputs, enabling a personalized and clear display that fits your trading style.
This indicator is ideal for Forex traders who require a dynamic and highly customizable tool to monitor currency strength, adapt to different market sessions, and make informed trading decisions based on real-time performance data.
Ichimoku Cloud Auto TF🧠 Timeframe Breakdown for Ichimoku Cloud Auto TF
Each timeframe in this indicator is carefully calibrated to reflect meaningful Ichimoku behavior relative to its scale. Here's how each one is structured and what it's best used for:
⏱️ 1 Minute (1m)
Tenkan / Kijun / Span B: 5 / 15 / 45
Use: Scalping fast price action.
Logic: Quick reaction to short-term momentum. Best for highly active traders or bots.
⏱️ 2 Minutes (2m)
Tenkan / Kijun / Span B: 6 / 18 / 54
Use: Slightly smoother than 1m, still ideal for scalping with a little more stability.
⏱️ 5 Minutes (5m)
Tenkan / Kijun / Span B: 8 / 24 / 72
Use: Intraday setups, quick trend capture.
Logic: Balanced between reactivity and noise reduction.
⏱️ 15 Minutes (15m)
Tenkan / Kijun / Span B: 9 / 27 / 81
Use: Short-term swing and intraday entries with higher reliability.
⏱️ 30 Minutes (30m)
Tenkan / Kijun / Span B: 10 / 30 / 90
Use: Intra-swing entries or confirmation of 5m/15m signals.
🕐 1 Hour (1H)
Tenkan / Kijun / Span B: 12 / 36 / 108
Use: Ideal for swing trading setups.
Logic: Anchored to Daily reference (1H × 24 ≈ 1D).
🕐 2 Hours (2H)
Tenkan / Kijun / Span B: 14 / 42 / 126
Use: High-precision swing setups with better context.
🕒 3 Hours (3H)
Tenkan / Kijun / Span B: 15 / 45 / 135
Use: Great compromise between short and mid-term vision.
🕓 4 Hours (4H)
Tenkan / Kijun / Span B: 18 / 52 / 156
Use: Position traders & intraday swing confirmation.
Logic: Designed to echo the structure of 1D Ichimoku but on smaller scale.
📅 1 Day (1D)
Tenkan / Kijun / Span B: 9 / 26 / 52
Use: Classic Ichimoku settings.
Logic: Standard used globally for technical analysis. Suitable for swing and position trading.
📆 1 Week (1W)
Tenkan / Kijun / Span B: 12 / 24 / 120
Use: Long-term position trading & institutional swing confirmation.
Logic: Expanded ratios for broader perspective and noise filtering.
🗓️ 1 Month (1M)
Tenkan / Kijun / Span B: 6 / 12 / 24
Use: Macro-level trend visualization and investment planning.
Logic: Condensed but stable structure to handle longer data cycles.
📌 Summary
This indicator adapts Ichimoku settings dynamically to your chart's timeframe, maintaining logical ratios between Tenkan, Kijun, and Span B. This ensures each timeframe remains responsive yet meaningful for its respective market context.
STH Unrealized Profit/Loss Ratio (STH-NUPL) | [DeV]STH-NUPL
The Short-Term Holder Net Unrealized Profit/Loss Ratio (STH-NUPL) is an analytical tool designed to approximate the unrealized profit or loss of Bitcoin’s short-term holders (STHs)—typically those holding coins for less than 155 days—within the constraints of TradingView’s price-based environment. Drawing inspiration from the canonical STH-NUPL metric, which assesses the difference between the market value and realized value of STH-held coins, this indicator adapts the concept into a normalized ratio using Bitcoin’s price data as a proxy. It offers a window into the sentiment and behavior of short-term market participants, who are often more sensitive to price fluctuations than long-term holders.
In its raw form, STH-NUPL oscillates around a break-even threshold of 0, where positive values indicate aggregate unrealized profits for STHs (market value exceeds realized value), and negative values suggest losses. This inflection point frequently acts as a key level: in bear markets, it can signal capitulation as STHs sell at break-even or below, while in bull markets, it may reflect reluctance to realize losses, providing support. The indicator enhances this metric with smoothing, a moving average overlay, and sophisticated visualization options, delivering a statistically informed perspective on short-term holder dynamics tailored for institutional-grade analysis.
STH-NUPL Settings -
Lookback Length (Default: 150 days): Defines the SMA period for estimating realized value. This 150-day window aligns with traditional STH definitions (e.g., <155 days), capturing a broad yet relevant historical cost basis for short-term holders, ideal for assessing cyclical behavior.
Smoothing Period (Default: 5 days): Applies an EMA to the raw STH-NUPL ratio, with a short default period to maintain responsiveness to recent price shifts while filtering out daily volatility. This setting is particularly suited for tactical analysis.
Moving Average Settings -
MA Lookback Length (Default: 90 days): Sets the period for the STH-NUPL’s moving average, offering a medium-term trend signal that contrasts with the 150-day lookback, enabling detection of momentum shifts within broader market phases.
MA Type (Default: EMA): Provides six moving average types, from the straightforward SMA to the volume-sensitive VWMA. The default EMA balances smoothness and reactivity, while options like HMA or VWMA cater to specialized needs, such as emphasizing recent action or volume trends.
Display Settings -
Show Moving Average (Default: True): Toggles the visibility of the STH-NUPL MA plot, allowing users to focus solely on the smoothed ratio when desired.
Show Background Colors (Default: True): Activates dynamic background shading to visually reinforce market regimes.
Background Color Source (Default: STH-NUPL): Enables users to tie the background to either the STH-NUPL’s midline (reflecting sthNupl > 0) or the MA’s trend direction (maNupl > maNupl ), aligning the visual context with the chosen analytical focus.
Analytical Applications -
Bear Market Capitulation: When the smoothed STH-NUPL approaches or falls below zero, it often signals loss realization among STHs, a precursor to capitulation in downtrends. A declining MA crossing zero can confirm this selling pressure.
Bull Market Support: Positive STH-NUPL values with a rising MA indicate STHs are in profit and reluctant to sell at a loss, forming support zones in uptrends as sell pressure wanes.
Sentiment Extremes: Significant deviations above or below zero highlight over-optimism or despair among STHs, offering contrarian opportunities when paired with price action or other on-chain metrics.
**Limitations**
As a TradingView-based approximation, this indicator uses price data (close) rather than true on-chain STH supply and realized price, which are available through providers like Glassnode. The 150-day SMA for realized value simplifies the cost basis, potentially underrepresenting the diversity of STH transactions. Despite this, the smoothed ratio and moving average overlay provide a practical proxy for tracking STH sentiment within TradingView’s ecosystem.
Multi-Timeframe EMAsMulti Timeframe EMA's
The 'Multi-Timeframe EMA Band Comparison' indicator is a tool designed to analyze trend direction across multiple timeframes using Exponential Moving Averages. it calculates the 50, 100, and 200 period EMAs for fiver user defined timeframes and compares their relationships to provide a visual snapshot of bullish or bearish momentum.
How it Works:
EMA Calculations: For each selected timeframe, the indicator computes the 50, 100, and 200 period EMAs based on the closing price.
Band Comparisons: Three key relationships are evaluated:
50 EMA vs 100 EMA
100 EMA vs 200 EMA
50 EMA vs 200 EMA
Scoring System: Each comparison is assigned a score:
🟢 (Green Circle): The shorter EMA is above the longer EMA, signaling bullish momentum.
🔴 (Red Circle): The shorter EMA is below the longer EMA, signaling bearish momentum.
⚪️ (White Circle): The EMAs are equal or data is unavailable (rare).
Average Score:
An overall average score is calculated across all 15 comparisons ranging from 1 to -1, displayed with two decimal places and color coded.
Customization:
This indicator is fully customizable from the timeframe setting to the color of the table. The only specific part that is not changeable is the EMA bands.
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.
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.
111D SMA / (350D SMA * 2)Indicator: Pi Cycle Ratio
This custom technical indicator calculates a ratio between two moving averages that are used for the PI Cycle Top indicator. The PI Cycle Top indicator triggers when the 111-day simple moving average (111D SMA) crosses up with the 350-day simple moving average (350D SMA *2).
The line value is ratio is calculated as:
Line Value = 111DSMA / (350D SMA × 2)
When the 111D SMA crosses with the 350D SMA triggering the PI Cycle Top, the value of the ratio between the two lines is 1.
This visualizes the ratio between the two moving averages into a single line. This indicator can be used for technical analysis for historical and future moves.
Combined SMA Cross & RSI Multi-Timeframe Indicator K2Combined SMA Cross & RSI Multi-Timeframe Indicator
This Pine Script v6 indicator combines two popular technical analysis tools—Simple Moving Average (SMA) crossover and Relative Strength Index (RSI) crossover—across multiple timeframes to generate bullish and bearish trading signals. It overlays SMA lines on the chart, displays signals with shapes, and provides a table summarizing SMA crossover states across 11 timeframes.
Features:
SMA Crossover:
Compares a short SMA (default: 20 periods) with a long SMA (default: 50 periods).
Bullish signal: Short SMA crosses above Long SMA.
Bearish signal: Short SMA crosses below Long SMA.
Plotted as green (short) and red (long) lines on the chart.
RSI Crossover:
Calculates RSI (default: 14 periods) and its SMA (default: 14 periods).
Bullish signal: RSI crosses above its SMA.
Bearish signal: RSI crosses below its SMA.
Multi-Timeframe Analysis:
Evaluates SMA and RSI conditions across 11 timeframes: 1M, 5M, 15M, 30M, 1H, 2H, 4H, 8H, 12H, 1D, 1W.
User can toggle which timeframes to include via input settings.
Combined Logic:
Generates a signal only when both SMA and RSI conditions (if enabled) are met across all selected timeframes.
Bullish: All selected timeframes show bullish SMA and RSI crossovers.
Bearish: All selected timeframes show bearish SMA and RSI crossovers.
Logic toggles allow enabling/disabling SMA or RSI components.
Visuals:
Triangles: Green triangle below bar for bullish signals, red triangle above bar for bearish signals.
Arrows: Green upward arrow for "Long" signals, red downward arrow for "Short" signals, ensuring no overlap with previous signals.
Table: Displays SMA crossover states for all 11 timeframes at the bottom center of the chart (green for bullish, red for bearish).
Alerts:
Triggers alerts for combined bullish ("SMA Cross and RSI timeframes are bullish!") and bearish ("SMA Cross and RSI timeframes are bearish!") signals.
Inputs:
SMA Settings: Short SMA length (20), Long SMA length (50).
RSI Settings: RSI length (14), RSI SMA length (14).
Logic Toggles: Enable/disable SMA Cross and RSI logic.
Timeframe Toggles: Enable/disable each of the 11 timeframes.
Usage:
Add the indicator to your chart and adjust inputs as needed.
Use the signals for trend confirmation or entry/exit points, combining multi-timeframe SMA and RSI analysis.
Monitor the table to assess alignment across timeframes.
Notes:
Designed for TradingView with Pine Script v6.
Signals are confirmed on closed bars (barstate.isconfirmed) to avoid repainting.
Ideal for traders seeking a multi-timeframe confirmation tool.
Этот индикатор Pine Script v6 объединяет два популярных инструмента технического анализа — кроссовер Simple Moving Average (SMA) и кроссовер Relative Strength Index (RSI) — на нескольких таймфреймах для генерации бычьих и медвежьих торговых сигналов. Он накладывает линии SMA на график, отображает сигналы с помощью фигур и предоставляет таблицу, обобщающую состояния пересечения SMA на 11 таймфреймах.
Функции:
Кроссовер SMA :
Сравнивает короткую SMA (по умолчанию: 20 периодов) с длинной SMA (по умолчанию: 50 периодов).
Бычий сигнал: короткая SMA пересекает длинную SMA сверху вниз.
Медвежий сигнал: короткая SMA пересекает длинную SMA снизу вверх.
На графике это обозначено зеленой (короткой) и красной (длинной) линиями.
Кроссовер RSI :
Рассчитывает RSI (по умолчанию: 14 периодов) и его SMA (по умолчанию: 14 периодов).
Бычий сигнал: RSI пересекает SMA выше.
Медвежий сигнал: RSI пересекает SMA ниже.
Анализ нескольких таймфреймов :
Оценивает состояния SMA и RSI на 11 таймфреймах: 1M, 5M, 15M, 30M, 1H, 2H, 4H, 8H, 12H, 1D, 1W.
Пользователь может переключать включаемые временные интервалы с помощью настроек ввода.
Комбинированная логика :
Генерирует сигнал только тогда, когда выполняются оба условия SMA и RSI (если они включены) на всех выбранных таймфреймах.
Бычий: все выбранные таймфреймы показывают бычьи пересечения SMA и RSI.
Медвежий: все выбранные таймфреймы показывают медвежьи пересечения SMA и RSI.
Логические переключатели позволяют включать/отключать компоненты SMA или RSI.
Визуальные эффекты :
Треугольники : зеленый треугольник под полосой — бычьи сигналы, красный треугольник над полосой — медвежьи сигналы.
Стрелки : зеленая стрелка вверх для «длинных» сигналов, красная стрелка вниз для «коротких» сигналов, что гарантирует отсутствие наложения с предыдущими сигналами.
Таблица : отображает состояния пересечения SMA для всех 11 таймфреймов в нижней центральной части графика (зеленый для бычьего тренда, красный для медвежьего).
Оповещения :
Запускает оповещения для комбинированных бычьих («Таймфреймы SMA Cross и RSI являются бычьими!») и медвежьих («Таймфреймы SMA Cross и RSI являются медвежьими!») сигналов.
Входные данные:
Настройки SMA : короткая длина SMA (20), длинная длина SMA (50).
Настройки RSI : длина RSI (14), длина RSI SMA (14).
Переключатели логики : включение/выключение логики SMA Cross и RSI.
Переключение таймфреймов : включение/отключение каждого из 11 таймфреймов.
Использование:
Добавьте индикатор на свой график и при необходимости скорректируйте входные данные.
Используйте сигналы для подтверждения тренда или точек входа/выхода, комбинируя многовременной анализ SMA и RSI.
Следите за таблицей, чтобы оценить согласованность по всем временным интервалам.
Примечания:
Разработано для TradingView с использованием Pine Script v6.
Сигналы подтверждаются на закрытых барах ( barstate.isconfirmed ), чтобы избежать перерисовки.
Идеально подходит для трейдеров, которым нужен инструмент подтверждения с несколькими таймфреймами.
HabibiTrades Pro System Strategy Overview
This strategy uses the following conditions:
WMA Crossover: To determine the direction of the market trend.
ADX: To confirm whether the trend is strong enough for trade.
Volume Spike: To validate the trade signal with increased market participation.
Let's break down each component and its role in the strategy.
1. WMA (Weighted Moving Average) Crossover:
The WMA is a type of moving average that gives more weight to recent prices. In this strategy, we use two WMAs:
Fast WMA (short period): Reacts quicker to price changes.
Slow WMA (long period): Reacts slower to price changes.
How it works:
Bullish Entry (Long): The Fast WMA crosses above the Slow WMA, indicating a potential upward price movement (bullish trend).
Bearish Entry (Short): The Fast WMA crosses below the Slow WMA, indicating a potential downward price movement (bearish trend).
2. ADX (Average Directional Index):
The ADX measures the strength of a trend, regardless of whether the trend is up or down.
How it works:
ADX > 20: Indicates a strong trend (either bullish or bearish). This is the threshold for considering a trade.
ADX > 30: Indicates an even stronger trend and is used to indicate high confidence in the trend direction.
3. Volume Spike:
Volume is an important indicator that tells you how much trading activity is happening in the market. A volume spike occurs when the current volume is significantly higher than the average volume over a specified period.
How it works:
Volume Spike Condition: The current volume is compared to the average volume (SMA). If the current volume is greater than the Volume SMA multiplied by the Volume Multiplier, a volume spike is detected.
Volume spikes are used to validate the strength of the trend and increase the likelihood that the trade signal is meaningful.
Strategy Logic
Long Entry Conditions (Buy Signal):
WMA Crossover: The Fast WMA crosses above the Slow WMA (bullish signal).
ADX: The ADX is above 20 (indicating a strong trend).
Volume Spike: The current volume is higher than the Volume SMA multiplied by the Volume Multiplier, confirming market participation.
Short Entry Conditions (Sell Signal):
WMA Crossover: The Fast WMA crosses below the Slow WMA (bearish signal).
ADX: The ADX is above 20 (indicating a strong trend).
Volume Spike: The current volume is higher than the Volume SMA multiplied by the Volume Multiplier, confirming market participation.
Exit Conditions:
Trailing Stop: A trailing stop is used based on the highest price for long trades or the lowest price for short trades since the entry. The position is exited when the price moves against the trade by a set amount (in ticks).
RSI Multi-Timeframe K2Indicator Name: RSI Multi-Timeframe Cross Indicator
Overview:
"RSI Multi-Timeframe Cross Indicator" is a versatile Pine Script (v5) tool developed for TradingView, designed for traders using multi-time frame analysis. It monitors the Relative Strength Index (RSI) cross its Simple Moving Average (SMA) on multiple time frames (1-minute, 5-minute, 15-minute, 30-minute, 1-hour, 4-hour and daily) to identify bullish and bearish conditions. The indicator overlays the signals on the chart and provides a customizable table to visualize the time frame conditions.
Key Features:
RSI Crossover Detection:
Monitors when the RSI crosses above (bullish trend) or below (bearish trend) its SMA on each selected time frame.
Uses constant state tracking to maintain a bullish/bearish state until an opposite crossover occurs.
Configurable Parameters:
RSI Length: Configurable period for calculating RSI (default: 14).
MA Length: Configurable period for SMA applied to RSI (default: 20).
Time Frame Controls:
Logical Switches: Independent switches ( use1m , use5m , etc.) to include/exclude each time frame in the signal logic.
Visualization Switches: Separate switches ( show1m , show5m , etc.) to show/hide each time frame in the table without affecting the logic.
Visuals:
Triangles: Green ascending triangles below the bars indicate bullish signals, red descending triangles above the bars indicate bearish signals.
Labels : Long (green) or Short (red) labels on the last confirmed bar when all enabled timeframes match.
Dynamic Table : A centered table at the bottom of the chart displaying the status of each timeframe with colored boxes (green for bullish, red for bearish). The table size is adjustable based on the visible timeframes.
Alerts :
Trigger alerts when all enabled timeframes are bullish ("All RSI timeframes are bullish (green)!") or bearish ("All RSI timeframes are bearish (red)!").
Input Parameters:
RSI Settings :
RSI Length : Integer (min: 1, default: 14) — Period for RSI calculation.
MA Length : Integer (min: 1, default: 20) — Period for SMA RSI.
Timeframe Logic Settings:
Use 1M in Logic, Use 5M in Logic, etc.: Boolean (default: true) - Enable/Disable each timeframe in signal calculation.
Timeframe Visualization Settings:
Show 1M in Table, Show 5M in Table, etc.: Boolean (default: true) - Show/Hide each timeframe in the table display.
Logic:
Bullish Condition: RSI crosses above SMA on a given timeframe, setting a bullish condition until a bearish crossover occurs.
Bearish Condition: RSI crosses below SMA on a given timeframe, setting a bearish condition until a bullish crossover occurs.
Combination signal: A Long or Short signal is generated only when all enabled timeframes (use the * switches) line up in the same direction (bullish or bearish).
Visualization: The table displays the status of each timeframe, but only shows the fields for the timeframes with the Show* switch enabled.
Visual output:
Chart signals:
A green ascending triangle and a Long label when all enabled timeframes are bullish.
A red downward-pointing triangle and a Short label when all enabled timeframes are bearish.
Table:
Located in the lower center of the chart.
The bars dynamically adjust to the number of visible timeframes (1 to 7).
Each cell displays the time frame name (e.g. "1M", "5M") with a background color indicating its status (green for bullish, red for bearish).
Use:
Trend Confirmation: Used to confirm trends across multiple time frames based on RSI behavior.
Configure: Customize RSI and MA lengths to suit your trading strategy, and turn time frames on/off for both logic and visualization to focus on the relevant periods.
Alerts: Set up alerts to be notified when all selected time frames match, useful for automated trading systems or manual monitoring.
Notes:
The indicator does not display RSI or SMA lines directly on the chart, focusing instead on crossover events and signals.
If all visualization toggles are disabled, the table disappears, but signals and alerts continue to function based on the logic toggles.
Compatible with any chart timeframe, data from later timeframes is retrieved using request.security() .
Stoch RSI Multi-Timeframe Cross Indicator
Stoch RSI Multi-Timeframe Cross Indicator
Overview
This Pine Script v6 indicator is designed to monitor Stochastic RSI crossovers across multiple timeframes (1-minute, 5-minute, 15-minute, 30-minute, 1-hour, 4-hour, and daily) and provide visual and alert-based signals for trading decisions. It overlays on the chart, displaying:
A table showing the bullish (green) or bearish (red) state of each timeframe.
Triangles and labels ("Long" or "Short") to indicate entry points when all enabled timeframes align in a bullish or bearish direction.
Alerts for when all enabled timeframes turn bullish or bearish.
The indicator tracks crossovers between the Stochastic RSI %K and %D lines, persisting the state (bullish or bearish) until the next crossover occurs, mimicking the behavior of the original RSI-based script but adapted for Stochastic RSI.
Inputs
RSI Length (rsiLength): Length of the RSI calculation (default: 14).
Stochastic Length (stochLength): Lookback period for the Stochastic RSI calculation (default: 14).
Smooth K (smoothK): Smoothing period for the %K line (default: 3).
Smooth D (smoothD): Smoothing period for the %D line (default: 3).
Use in Logic (use1m, use5m, etc.): Boolean toggles to include or exclude each timeframe (1M, 5M, 15M, 30M, 1H, 4H, 1D) in the entry signal logic (default: all true).
Timeframes
The indicator monitors the following timeframes, defined as strings compatible with Pine Script v6:
1-minute ("1")
5-minute ("5")
15-minute ("15")
30-minute ("30")
1-hour ("60")
4-hour ("240")
Daily ("D")
Core Logic
Stochastic RSI Calculation:
For each timeframe, the indicator:
Computes RSI using ta.rsi(close, rsiLength).
Applies the stochastic formula to RSI with ta.stoch(rsi, rsi, rsi, stochLength) to get the raw Stochastic RSI.
Smooths the result with ta.sma() to calculate %K (using smoothK) and %D (using smoothD).
This is done within a stochRsiState function, which is called via request.security() to ensure calculations align with each timeframe’s data.
Crossover Detection:
Detects crossovers using ta.crossover(k, d) (bullish) and ta.crossunder(k, d) (bearish).
Maintains a persistent state (var bool isBullish) for each timeframe, updated only when a crossover occurs:
true (bullish) when %K crosses above %D.
false (bearish) when %K crosses below %D.
Multi-Timeframe States:
Each timeframe’s %K, %D, and isBullish state is fetched independently using request.security(), ensuring accurate crossover detection regardless of the chart’s timeframe.
Visual Outputs
Table:
A static table in the bottom-left corner displays the state of each timeframe:
Columns: "1M", "5M", "15M", "30M", "1H", "4H", "1D".
Background color: Green (color.green) for bullish, Red (color.red) for bearish.
Updates on the last confirmed bar (barstate.islast).
Triangles:
Green upward triangle below the bar when all enabled timeframes are bullish (allBullish).
Red downward triangle above the bar when all enabled timeframes are bearish (allBearish).
Labels:
"Long" label (green) below the bar when allBullish is true.
"Short" label (red) below the bar when allBearish is true.
Displayed only on the last confirmed historical bar (barstate.islastconfirmedhistory).
Alerts
All Timeframes Bullish: Triggers when all enabled timeframes are bullish, with the message: "All Stoch RSI timeframes are bullish (green)!"
All Timeframes Bearish: Triggers when all enabled timeframes are bearish, with the message: "All Stoch RSI timeframes are bearish (red)!"
Conditions for Signals
Bullish Condition (allBullish):
True when all enabled timeframes (use1m ? isBullish1m : true, etc.) are bullish, and at least one timeframe is enabled.
Bearish Condition (allBearish):
True when all enabled timeframes are bearish, and at least one timeframe is enabled.
Disabled timeframes are treated as neutral (always true) in the logic, ensuring they don’t block signals.
Usage
Add the indicator to your TradingView chart.
Adjust input parameters (e.g., rsiLength, stochLength, smoothK, smoothD) to match your trading strategy.
Enable/disable timeframes via the input settings to focus on specific ones.
Watch the table for individual timeframe states and the chart for entry signals ("Long"/"Short") when all enabled timeframes align.
Set up alerts to be notified of full alignment.
Notes
The indicator is designed to persist the crossover state until the next crossover, similar to the original RSI-based script, ensuring stability across chart timeframe switches.
It uses request.security() to fetch data, making it robust for multi-timeframe analysis, though performance may depend on the chart’s data availability.
Stoch RSI Multi-Timeframe Cross Индикатор
Обзор
Этот индикатор Pine Script v6 предназначен для мониторинга пересечений Stochastic RSI на нескольких таймфреймах (1-минутный, 5-минутный, 15-минутный, 30-минутный, 1-часовой, 4-часовой и дневной) и предоставления визуальных и основанных на оповещениях сигналов для принятия торговых решений. Он накладывается на график, отображая:
Таблица, показывающая бычье (зеленый) или медвежье (красный) состояние каждого таймфрейма.
Треугольники и метки («Длинный» или «Короткий») для обозначения точек входа, когда все включенные таймфреймы совпадают в бычьем или медвежьем направлении.
Оповещения о том, когда все включенные таймфреймы становятся бычьими или медвежьими.
Индикатор отслеживает пересечения линий %K и %D стохастического RSI , сохраняя состояние (бычье или медвежье) до тех пор, пока не произойдет следующее пересечение, имитируя поведение исходного скрипта на основе RSI, но адаптированного для стохастического RSI.
Входы
Длина RSI ( rsiLength ): длина расчета RSI (по умолчанию: 14).
Длина стохастика ( stochLength ): период ретроспективного анализа для расчета стохастического RSI (по умолчанию: 14).
Сглаживание K ( smoothK ): период сглаживания для линии %K (по умолчанию: 3).
Smooth D ( smoothD ): период сглаживания для линии %D (по умолчанию: 3).
Использовать в логике ( use1m , use5m и т. д.): логические переключатели для включения или исключения каждого таймфрейма (1M, 5M, 15M, 30M, 1H, 4H, 1D) в логику входного сигнала (по умолчанию: все true).
Временные рамки
Индикатор отслеживает следующие таймфреймы, определенные как строки, совместимые с Pine Script v6:
1 минута ( "1" )
5-минутный ( "5" )
15-минутный ( "15" )
30-минутный ( "30" )
1 час ( "60" )
4-часовой ( "240" )
Ежедневно ( "Д" )
Основная логика
Расчет стохастического RSI :
Для каждого таймфрейма индикатор:
Вычисляет RSI с помощью ta.rsi(close, rsiLength) .
Применяет стохастическую формулу к RSI с ta.stoch(rsi, rsi, rsi, stochLength) для получения необработанного стохастического RSI.
Сглаживает результат с помощью ta.sma() для вычисления %K (используя smoothK ) и %D (используя smoothD ).
Это делается в функции stochRsiState , которая вызывается через request.security(), чтобы гарантировать соответствие расчетов данным каждого таймфрейма.
Обнаружение кроссовера :
Обнаруживает пересечения с помощью ta.crossover(k, d) (бычий) и ta.crossunder(k, d) (медвежий).
Поддерживает постоянное состояние ( var bool isBullish ) для каждого таймфрейма, обновляется только при возникновении пересечения:
истина (бычий тренд), когда %K пересекает %D снизу вверх .
ложно (медвежье), когда %K пересекает %D снизу .
Состояния с несколькими таймфреймами :
Состояние %K , %D и isBullish каждого таймфрейма извлекается независимо с помощью request.security() , что обеспечивает точное обнаружение пересечений независимо от таймфрейма графика.
Визуальные результаты
Стол :
Статическая таблица в нижнем левом углу отображает состояние каждого таймфрейма:
Столбцы: «1M», «5M», «15M», «30M», «1H», «4H», «1D».
Цвет фона: зеленый ( color.green ) для бычьего тренда, красный ( color.red ) для медвежьего тренда.
Обновления по последнему подтвержденному бару ( barstate.islast ).
Треугольники :
Зеленый восходящий треугольник под полосой, когда все включенные таймфреймы являются бычьими ( allBullish ).
Красный нисходящий треугольник над баром, когда все включенные таймфреймы медвежьи ( allBearish ).
Метки :
Метка «Длинная» (зеленая) под полосой, когда allBullish имеет значение true.
Метка «Короткая» (красная) под полосой, когда allBearish имеет значение true.
Отображается только на последнем подтвержденном историческом баре ( barstate.islastconfirmedhistory ).
Оповещения
Все таймфреймы бычьи : срабатывает, когда все включенные таймфреймы бычьи, с сообщением: «Все таймфреймы Stoch RSI бычьи (зеленые)!»
Все таймфреймы медвежьи : срабатывает, когда все включенные таймфреймы медвежьи, с сообщением: «Все таймфреймы Stoch RSI медвежьи (красные)!»
Условия для сигналов
Бычье состояние ( всеБычье ) :
Истинно, когда все включенные таймфреймы ( use1m ? isBullish1m : true и т. д.) являются бычьими и включен хотя бы один таймфрейм.
Медвежьи условия ( всемедвежьи ) :
Истинно, когда все включенные таймфреймы являются медвежьими и включен хотя бы один таймфрейм.
Отключенные таймфреймы рассматриваются в логике как нейтральные (всегда истинные ), что гарантирует, что они не блокируют сигналы.
Использование
Добавьте индикатор на свой график TradingView.
Отрегулируйте входные параметры (например, rsiLength , stochLength , smoothK , smoothD ) в соответствии с вашей торговой стратегией.
Включите/отключите таймфреймы с помощью настроек ввода, чтобы сосредоточиться на определенных из них.
Следите за таблицей для определения состояний отдельных таймфреймов и графиком для определения сигналов на вход («Длинный»/«Короткий»), когда все включенные таймфреймы совпадают.
Настройте оповещения, чтобы получать уведомления о полном выравнивании.
Примечания
Индикатор разработан таким образом, чтобы сохранять состояние пересечения до следующего пересечения, аналогично оригинальному скрипту на основе RSI, обеспечивая стабильность при переключении таймфреймов графика.
Для извлечения данных используется request.security() , что делает его надежным для многовременного анализа, хотя производительность может зависеть от доступности данных графика.
SMA Multi-Timeframe Trend Indicator (Enhanced)Here is the description of the "SMA Multi-Timeframe Trend Indicator (Enhanced)" in English, based on the latest version of the code:
Description of the Indicator: SMA Multi-Timeframe Trend Indicator (Enhanced)
Purpose:
The indicator is designed to identify trends based on the price crossing a Simple Moving Average (SMA) on the current timeframe, with additional confirmation of the trend direction across multiple timeframes. It assists traders in finding entry points (Long or Short), displaying signals only at the moment of the first crossing of the candle body through the SMA, avoiding repeated signals until the next opposite crossing.
Indicator Type: Overlay — displayed on top of the price chart.
Key Features:
Entry Signals:
Long (green triangle and "Long" label): Appears when the candle body fully crosses the SMA upward (the candle's low low becomes higher than the SMA) and it is the first crossing after a previous bearish signal or from the chart's start.
Short (red triangle and "Short" label): Appears when the candle body fully crosses the SMA downward (the candle's high high becomes lower than the SMA) and it is the first crossing after a previous bullish signal or from the chart's start.
Signals are shown only once until the next opposite crossing, preventing redundant notifications.
Multi-Timeframe Confirmation:
The indicator analyzes the trend state across 9 timeframes: 1M, 5M, 15M, 30M, 1H, 4H, 8H, 1D, 1W.
For each timeframe, it checks the price position relative to the SMA:
Bullish state (low > SMA) — green color.
Bearish state (high < SMA) — red color.
An entry signal is generated only if all enabled timeframes confirm the trend direction (all bullish for Long, all bearish for Short).
Visualization:
SMA Line: Displayed on the current timeframe chart (green color, RGB: 9, 247, 108, linewidth 1).
Triangles: Green below the candle for Long, red above the candle for Short.
Labels: "Long" (green) or "Short" (red) appear on the last confirmed candle below the chart.
Table: Positioned at the bottom center of the chart, containing 9 cells (one for each timeframe), showing the current state (green or red background).
Customizability:
SMA Length: Users can set the SMA period (default is 20).
Timeframe Selection: Each of the 9 timeframes can be enabled or disabled in the logic settings (default: only 1H enabled).
Alerts:
Two types of notifications are generated:
"Bullish Cross": When the price crosses above the SMA on all enabled timeframes.
"Bearish Cross": When the price crosses below the SMA on all enabled timeframes.
How the Indicator Works:
SMA Calculation:
A Simple Moving Average (SMA) is calculated on the current timeframe with the specified period.
The trend state is determined on each of the 9 timeframes based on the price's position relative to the SMA.
Signal Conditions:
For Long: The low of the current candle (low) crosses the SMA upward (ta.crossover(low, smaCurrent)), and all enabled timeframes show a bullish state.
For Short: The high of the current candle (high) crosses the SMA downward (ta.crossunder(high, smaCurrent)), and all enabled timeframes show a bearish state.
A signal triggers only if the previous signal was in the opposite direction or absent, controlled by the lastSignalWasBullish variable.
Display:
When conditions are met, a triangle and label of the corresponding direction appear on the chart.
The table updates on each candle, reflecting the current state of all timeframes.
Usage:
Timeframe: Suitable for any timeframe, but tested on 1H with all other timeframes disabled.
Default Settings:
smaLength = 20
Only 1H enabled (use1h = true), others disabled (false).
Recommendations:
For more frequent signals, reduce smaLength (e.g., to 10).
To filter noise, enable additional timeframes (e.g., 4H, 1D).
Use alerts for automatic entry point notifications.
Example of Operation:
Scenario on 1H:
The price on the previous bar was below the SMA (high < smaCurrent), and on the current bar, low > smaCurrent. If 1H is the only enabled timeframe, a green triangle and "Long" label appear immediately.
Then the price drops, and high < smaCurrent after crossing downward — a red triangle and "Short" label appear.
Signals do not repeat until the price crosses the SMA in the opposite direction.
Limitations:
If all timeframes are disabled, the indicator will not generate signals (at least one timeframe must be enabled).
On highly volatile markets or with a large smaLength, crossings may be infrequent.
The table always displays the state of all 9 timeframes, even if they are not used in the logic.
Описание индикатора: SMA Multi-Timeframe Trend Indicator (Enhanced)
Назначение:
Индикатор предназначен для определения трендов на основе пересечения цены с простой скользящей средней (SMA) на текущем таймфрейме с дополнительным подтверждением состояния тренда на нескольких таймфреймах. Он помогает трейдерам находить точки входа в позицию (Long или Short), отображая сигналы только в момент первого пересечения тела свечи через SMA, избегая повторных сигналов до следующего противоположного пересечения.
Тип индикатора: Наложение (Overlay) — отображается поверх графика цены.
Основные особенности:
Сигналы входа:
Long (зелёный треугольник и метка "Long"): Появляется, когда тело свечи полностью пересекает SMA вверх (минимум свечи low становится выше SMA) и это первое пересечение после предыдущего медвежьего сигнала или с начала графика.
Short (красный треугольник и метка "Short"): Появляется, когда тело свечи полностью пересекает SMA вниз (максимум свечи high становится ниже SMA) и это первое пересечение после предыдущего бычьего сигнала или с начала графика.
Сигналы отображаются только один раз до следующего противоположного пересечения, что предотвращает избыточные уведомления.
Мультитаймфреймовое подтверждение:
Индикатор анализирует состояние тренда на 9 таймфреймах: 1M, 5M, 15M, 30M, 1H, 4H, 8H, 1D, 1W.
Для каждого таймфрейма проверяется положение цены относительно SMA:
Бычье состояние (low > SMA) — зелёный цвет.
Медвежье состояние (high < SMA) — красный цвет.
Сигнал на вход появляется только если все включённые таймфреймы подтверждают направление тренда (все бычьи для Long, все медвежьи для Short).
Визуализация:
Линия SMA: Отображается на графике текущего таймфрейма (зелёный цвет, RGB: 9, 247, 108, толщина 1).
Треугольники: Зелёные под свечой для Long, красные над свечой для Short.
Метки: "Long" (зелёная) или "Short" (красная) появляются на последней подтверждённой свече внизу графика.
Таблица: Расположена по центру внизу графика, содержит 9 ячеек (по одной для каждого таймфрейма), показывающих текущее состояние (зелёный или красный фон).
Настраиваемость:
Длина SMA: Пользователь может задать период скользящей средней (по умолчанию 20).
Выбор таймфреймов: Каждый из 9 таймфреймов можно включить или выключить в настройках логики (по умолчанию включён только 1H).
Алерты:
Генерируются два типа уведомлений:
"Bullish Cross": Когда цена пересекает SMA вверх на всех включённых таймфреймах.
"Bearish Cross": Когда цена пересекает SMA вниз на всех включённых таймфреймах.
Как работает индикатор:
Расчёт SMA:
На текущем таймфрейме рассчитывается простая скользящая средняя (SMA) с заданным периодом.
На каждом из 9 таймфреймов определяется состояние тренда на основе положения цены относительно SMA.
Условия сигнала:
Для Long: Минимум текущей свечи (low) пересекает SMA вверх (ta.crossover(low, smaCurrent)), и все включённые таймфреймы показывают бычье состояние.
Для Short: Максимум текущей свечи (high) пересекает SMA вниз (ta.crossunder(high, smaCurrent)), и все включённые таймфреймы показывают медвежье состояние.
Сигнал срабатывает только если предыдущий сигнал был противоположным или отсутствовал, что контролируется переменной lastSignalWasBullish.
Отображение:
При выполнении условий на графике появляются треугольник и метка соответствующего направления.
Таблица обновляется на каждой свече, показывая текущее состояние всех таймфреймов.
Использование:
Таймфрейм: Подходит для любого таймфрейма, но протестирован на 1H с отключёнными остальными таймфреймами.
Настройки по умолчанию:
smaLength = 20
Только 1H включён (use1h = true), остальные выключены (false).
Рекомендации:
Для более частых сигналов уменьшите smaLength (например, до 10).
Для фильтрации шума включите дополнительные таймфреймы (например, 4H, 1D).
Используйте алерты для автоматического уведомления о точках входа.
Пример работы:
Сценарий на 1H:
Цена на предыдущем баре была ниже SMA (high < smaCurrent), а на текущем баре low > smaCurrent. Если 1H — единственный включённый таймфрейм, сразу появляется зелёный треугольник и метка "Long".
Затем цена падает, и high < smaCurrent после пересечения вниз — появляется красный треугольник и метка "Short".
Сигналы не повторяются, пока цена не пересечёт SMA в противоположном направлении.
Ограничения:
Если все таймфреймы отключены, индикатор не будет генерировать сигналы (требуется хотя бы один включённый таймфрейм).
На очень волатильных рынках или при большом значении smaLength пересечения могут быть редкими.
Таблица всегда показывает состояние всех 9 таймфреймов, даже если они не используются в логике.
Multi-MA Strategy Analyzer with BacktestMulti-MA Strategy Analyzer with Backtest
This TradingView Pine Script indicator is designed to analyze multiple moving averages (SMA or EMA) dynamically and identify the most profitable one based on historical performance.
Features
Dynamic MA Range:
Specify a minLength, maxLength, and step size.
Automatically calculates up to 20 MAs.
Custom MA Calculation:
Uses custom SMA and EMA implementations to support dynamic length values.
Buy/Sell Logic:
Buy when price crosses above a MA.
Sell when price crosses below.
Supports both long and short trades.
Performance Tracking:
Tracks PnL, number of trades, win rate, average profit, and drawdown.
Maintains individual stats for each MA.
Best MA Detection:
Automatically highlights the best-performing MA.
Optional showBestOnly toggle to focus only on the best line and its stats.
Visualization:
Up to 20 plot() calls (static) for MAs.
Green highlight for the best MA.
Color-coded result table and chart.
Table View
When showBestOnly = false, the table displays all MAs with stats.
When showBestOnly = true, the table displays only the best MA with a summary row.
Includes:
Best MA length
Total PnL
Number of trades
Win rate
Avg PnL per trade
Max Drawdown
Configuration
minLength (default: 10)
maxLength (default: 200)
step (default: 10)
useEMA: Toggle between EMA and SMA
showBestOnly: Focus on best-performing MA only
Notes
MA plotting is static, limited to 20 total.
Table supports highlighting and is optimized for performance.
Script is structured to run efficiently using arrays and simple int where required.
Potential Extensions
Add visual buy/sell arrows
Export stats to CSV
Strategy tester conversion
Custom date range filtering for backtesting
Author: Muhammad Wasim
Version: 1.0
MACD Crossover Breakout Rays with VWAP & Breakout ConfirmationOverview
This script is designed to highlight potential strong breakout moves by combining MACD crossovers, VWAP confirmation, and price action breakouts. It helps traders identify momentum shifts and filter high-probability trade setups.
How It Works
1. MACD Crossover Detection
- The script detects bullish crossovers (MACD line crossing above the signal line) and bearish crossovers (MACD line crossing below the signal line).
- A horizontal ray is drawn at the high (bullish) or low (bearish) of the crossover candle.
2. Multi-Timeframe MACD Confirmation
- A secondary MACD crossover is checked on a lower timeframe (default: 5 minutes) to confirm the strength of the move.
- The script ensures alignment between the primary and lower timeframe MACD crossovers before signaling a strong move.
3. VWAP Confirmation
- A bullish breakout is valid only if the price is above the VWAP.
- A bearish breakout is valid only if the price is below the VWAP.
4. Breakout Validation
- The script waits for price action confirmation—a breakout is only valid when a candle closes above (bullish) or below (bearish) the horizontal ray.
- Once confirmed, the ray color changes to blue to signal a strong move.
5. Label Alerts for Strong Moves
- When all conditions align, the script prints "STRONG 💪 MOVE" above or below the breakout candle.
- The previous label is automatically removed to keep the chart clean.
Customization Options
- MACD Settings: Adjust fast/slow lengths and signal smoothing.
- Lower Timeframe Confirmation: Choose a different timeframe for multi-timeframe MACD validation.
- VWAP Filtering: Ensure breakouts align with volume-weighted trends.
- Ray Length & Colors: Customize the horizontal ray length, width, and colors.
- Breakout Confirmation Window: Adjust how many bars to check for MACD alignment.
Best Use Cases
✅ Identifying high-probability breakouts with trend confirmation.
✅ Filtering out false signals by requiring multi-timeframe agreement.
✅ Helping traders stay in momentum-driven moves with strong confirmation.
⚠ Note: This script is for educational purposes only and does not constitute financial advice. Always conduct your own analysis before making trading decisions.
Long Term Profitable Swing | AbbasA Story of a Profitable Swing Trading Strategy
Imagine you're sailing across the ocean, looking for the perfect wave to ride. Swing trading is quite similar—you're navigating the stock market, searching for the ideal moments to enter and exit trades. This strategy, created by Abbas, helps you find those waves and ride them effectively to profitable outcomes.
🌊 Finding the Perfect Wave (Entry)
Our journey begins with two simple signs that tell us a great trading opportunity is forming:
- Moving Averages: We use two lines that follow price trends—the faster one (EMA 16) reacts quickly to recent price moves, and the slower one (EMA 30) gives us a longer-term perspective. When the faster line crosses above the slower line, it's like a clear signal saying, "Hey! The wave is rising, and prices might move higher!"
- RSI Momentum: Next, we check a tool called the RSI, which measures momentum (how strongly prices are moving). If the RSI number is above 50, it means there's enough strength behind this rising wave to carry us forward.
When both signals appear together, that's our green light. It's time to jump on our surfboard and start riding this promising wave.
⚓ Safely Riding the Wave (Risk Management)
While we're riding this wave, we want to ensure we're safe from sudden surprises. To do this, we use something called the Average True Range (ATR), which measures how volatile (or bumpy) the price movements are:
- Stop-Loss: To avoid falling too hard, we set a safety line (stop-loss) 8 times the ATR below our entry price. This helps ensure we exit if the wave suddenly turns against us, protecting us from heavy losses.
- Take Profit: We also set a goal to exit the trade at 11 times the ATR above our entry. This way, we capture significant profits when the wave reaches a nice high point.
🌟 Multiple Rides, Bigger Adventures
This strategy allows us to take multiple positions simultaneously—like riding several waves at once, up to 5. Each trade we make uses only 10% of our trading capital, keeping risks manageable and giving us multiple opportunities to win big.
🗺️ Easy to Follow Settings
Here are the basic settings we use:
- Fast EMA**: 16
- Slow EMA**: 30
- RSI Length**: 9
- RSI Threshold**: 50
- ATR Length**: 21
- ATR Stop-Loss Multiplier**: 8
- ATR Take-Profit Multiplier**: 11
These settings are flexible—you can adjust them to better suit different markets or your personal trading style.
🎉 Riding the Waves of Success
This simple yet powerful swing trading approach helps you confidently enter trades, clearly know when to exit, and effectively manage your risk. It’s a reliable way to ride market waves, capture profits, and minimize losses.
Happy trading, and may you find many profitable waves to ride! 🌊✨
Please test, and take into account that it depends on taking multiple longs within the swing, and you only get to invest 25/30% of your equity.
Regime Filter IndicatorRegime Filter – Crypto Market Trend Indicator
📊 Overview
The Regime Filter is a powerful market analysis indicator designed specifically for crypto trading. It helps traders identify whether the market is in a bullish or bearish phase by analyzing key assets in the cryptocurrency market, including Bitcoin (BTC), Bitcoin Dominance (BTC.D), and the Altcoin Market (TOTAL3). The indicator compares these assets against their respective Simple Moving Averages (SMA) to determine the overall market regime, allowing traders to make more informed decisions.
🔍 How It Works
The Regime Filter evaluates three main components to determine the market's sentiment:
1. BTC Dominance (BTC.D) vs. 40 SMA (Medium Timeframe)
The Bitcoin Dominance (BTC.D) is compared to its 40-period SMA on a mid-timeframe (e.g.,
1-hour). If BTC.D is below the 40 SMA, it indicates that altcoins are performing well relative
to Bitcoin, suggesting a bullish altcoin market. If BTC.D is above the 40 SMA, Bitcoin is
gaining dominance, indicating a potential bearish phase for altcoins.
2. TOTAL3 Market Cap vs. 100 SMA (Medium Timeframe)
The TOTAL3 index, which tracks the total market capitalization of all cryptocurrencies except
Bitcoin and Ethereum, is compared to its 100-period SMA. A bullish signal occurs when TOTAL3
is above the 100 SMA, indicating strength in altcoins, while a bearish signal occurs when
TOTAL3 is below the 100 SMA, signaling a potential weakness in the altcoin market.
3. BTC Price vs. 200 SMA (Higher Timeframe)
The current Bitcoin price is compared to its 200-period Simple Moving Average (SMA) on a
higher timeframe (e.g., 4-hour). A bullish signal is given when the BTC price is above the 200
SMA, and a bearish signal when it's below.
🟢 Bullish Market Conditions
The market is considered bullish when:
- BTC Dominance (BTC.D) is below the 40 SMA, suggesting altcoins are gaining momentum.
- TOTAL3 Market Cap is above the 100 SMA, signaling strength in the altcoin market.
- BTC price is above the 200 SMA, indicating an uptrend in Bitcoin.
In these conditions, the background turns green 🟢, and a "Bullish" label is displayed on the chart.
🔴 Bearish Market Conditions
The market is considered bearish when:
- BTC Dominance (BTC.D) is above the 40 SMA, indicating Bitcoin is outperforming altcoins.
- TOTAL3 Market Cap is below the 100 SMA, signaling weakness in altcoins.
- BTC price is below the 200 SMA, indicating a downtrend in Bitcoin.
In these conditions, the background turns red 🔴, and a "Bearish" label appears on the chart.
⚙ Customization Options
- The Regime Filter offers flexibility for traders:
- Enable or Disable Specific SMAs: Customize the indicator by enabling or disabling the 200 SMA for Bitcoin, the 40 SMA for BTC Dominance, and the 100 SMA for TOTAL3.
- Adjust Timeframes: Choose the timeframes for each of the moving averages to suit your preferred trading strategy.
- Real-Time Data Adjustments: The indicator updates in real-time to reflect current market conditions, ensuring timely analysis.
📈 Best Use Cases
- Trend Confirmation: The Regime Filter is ideal for confirming the market's overall trend,
helping traders to align their positions with the dominant market sentiment.
- Trade Entry/Exit Signals: Use the indicator to identify favorable entry or exit points based on
whether the market is in a bullish or bearish phase.
- Market Overview: Gain a quick understanding of the broader crypto market, with a focus on
Bitcoin and altcoins, to make more strategic decisions.
⚠️ Important Notes
Trend-Following Indicator: The Regime Filter is a trend-following tool, meaning it works best in strong trending markets. It may not perform well in choppy, sideways markets.
Risk Management: This indicator is designed to assist in identifying market trends, but it does not guarantee profits. Always apply sound risk management strategies and use additional indicators when making trading decisions.
Not a Profit Guarantee: While this indicator can help identify potential market trends, no trading tool or strategy guarantees profits. Please trade responsibly and ensure that your decisions are based on comprehensive analysis and risk tolerance.
UM Futures Dashboard with Moving Average DirectionUM Futures Dashboard with Moving Average Direction
Description :
This futures dashboard gives you quick glance of all “major” futures prices and percentage changes. The text color and trends are based on your configured moving average type and length. The dashboard will display LONG in green text when the configure MA is trending higher and SHORT in red when the configured MA is trending lower. The dashboard also includes the VIX futures roll yield and VIX futures status of Contango or Backwardation.
I have included the indicator twice on the sample chart to illustrate different table settings. I also included an 8 period WMA overlay on the price chart since this is the default of the dashboard. (The Moving Average color change is another one of my indicators titled “UM EMA SMA WMA HMA with Directional Color Change”)
Defaults and Configuration :
The default MA type is the Weighted Moving Average, (WMA) with a daily setting of 8. Choices include WMA, SMA, and EMA. The table location defaults to the upper right corner in landscape mode. It can also be set to “flip” to portrait mode. I have added the table to the chart twice to illustrate the table orientations.
Table location, orientation, timeframe, moving average type and length are user-configurable. The configured dashboard timeframe is independent of the chart timeframe. Percentage changes and Moving Averages are based on the configured dashboard timeframe.
Alerts :
Alerts can be configured on the directional change of the dashboard moving average. For example, if the daily 8 period weighted moving average begins trending higher it will turn from red to green. This color change would fire a LONG alert. A color trend change of the weighted moving average from green to red would fire a SHORT alert. Alerts are disabled by default but can be set for any or all of the futures contracts included.
Suggested Uses :
If you follow or trade futures, add this dashboard indicator to your chart layout. Configure your favorite moving average. Use this to quickly see where all the major futures are trading. This saved me from thumbing through the CNBC app on my phone.
One thing I do is to “stretch” moving average to a smaller timeframe. For example, if you like the 8 period WMA on the daily, try the 192 WMA on the hourly. ( The daily 8 period WMA is roughly a 192 WMA on an hourly chart) This can smooth out some of the violent price action and give better entries/exits.
Setup a FUTURES indicator template. I do this with the dashboard and couple other of my favorite indicators.
Suggested Settings :
Daily charts: 8 WMA
Combined EMA Technical AnalysisThis script is written in Pine Script (version 5) for TradingView and creates a comprehensive technical analysis indicator called "Combined EMA Technical Analysis." It overlays multiple technical indicators on a price chart, including Exponential Moving Averages (EMAs), VWAP, MACD, PSAR, RSI, Bollinger Bands, ADX, and external data from the S&P 500 (SPX) and VIX indices. The script also provides visual cues through colors, shapes, and a customizable table to help traders interpret market conditions.
Here’s a breakdown of the script:
---
### **1. Purpose**
- The script combines several popular technical indicators to analyze price trends, momentum, volatility, and market sentiment.
- It uses color coding (green for bullish, red for bearish, gray/white for neutral) and a table to display key information.
---
### **2. Custom Colors**
- Defines custom RGB colors for bullish (`customGreen`), bearish (`customRed`), and neutral (`neutralGray`) signals to enhance visual clarity.
---
### **3. User Inputs**
- **EMA Colors**: Users can customize the colors of five EMAs (8, 20, 9, 21, 50 periods).
- **MACD Settings**: Adjustable short length (12), long length (26), and signal length (9).
- **RSI Settings**: Adjustable length (14).
- **Bollinger Bands Settings**: Length (20), multiplier (2), and proximity threshold (0.1% of band width).
- **ADX Settings**: Adjustable length (14).
- **Table Settings**: Position (e.g., "Bottom Right") and text size (e.g., "Small").
---
### **4. Indicator Calculations**
#### **Exponential Moving Averages (EMAs)**
- Calculates five EMAs: 8, 20, 9, 21, and 50 periods based on the closing price.
- Used to identify short-term and long-term trends.
#### **Volume Weighted Average Price (VWAP)**
- Resets daily and calculates the average price weighted by volume.
- Color-coded: green if price > VWAP (bullish), red if price < VWAP (bearish), white if neutral.
#### **MACD (Moving Average Convergence Divergence)**
- Uses short (12) and long (26) EMAs to compute the MACD line, with a 9-period signal line.
- Displays "Bullish" (green) if MACD > signal, "Bearish" (red) if MACD < signal.
#### **Parabolic SAR (PSAR)**
- Calculated with acceleration factors (start: 0.02, increment: 0.02, max: 0.2).
- Indicates trend direction: green if price > PSAR (bullish), red if price < PSAR (bearish).
#### **Relative Strength Index (RSI)**
- Measures momentum over 14 periods.
- Highlighted in green if > 70 (overbought), red if < 30 (oversold), white otherwise.
#### **Bollinger Bands (BB)**
- Uses a 20-period SMA with a 2-standard-deviation multiplier.
- Color-coded based on price position:
- Green: Above upper band or close to it.
- Red: Below lower band or close to it.
- Gray: Neutral (within bands).
#### **Average Directional Index (ADX)**
- Manually calculates ADX to measure trend strength:
- Strong trend: ADX > 25.
- Very strong trend: ADX > 50.
- Direction: Bullish if +DI > -DI, bearish if -DI > +DI.
#### **EMA Crosses**
- Detects bullish (crossover) and bearish (crossunder) events for:
- EMA 9 vs. EMA 21.
- EMA 8 vs. EMA 20.
- Visualized with green (bullish) or red (bearish) circles.
#### **SPX and VIX Data**
- Fetches daily closing prices for the S&P 500 (SPX) and VIX (volatility index).
- SPX trend: Bullish if EMA 9 > EMA 21, bearish if EMA 9 < EMA 21.
- VIX levels: High (> 25, fear), Low (< 15, stability).
- VIX color: Green if SPX bullish and VIX low, red if SPX bearish and VIX high, white otherwise.
---
### **5. Visual Outputs**
#### **Plots**
- EMAs, VWAP, and PSAR are plotted on the chart with their respective colors.
- EMA crosses are marked with circles (green for bullish, red for bearish).
#### **Table**
- Displays a summary of indicators in a customizable position and size.
- Indicators shown (if enabled):
- EMA 8/20, 9/21, 50: Green dot if bullish, red if bearish.
- VWAP: Green if price > VWAP, red if price < VWAP.
- MACD: Green if bullish, red if bearish.
- MACD Zero: Green if MACD > 0, red if MACD < 0.
- PSAR: Green if price > PSAR, red if price < PSAR.
- ADX: Arrows for very strong trends (↑/↓), dots for weaker trends, colored by direction.
- Bollinger Bands: Arrows (↑/↓) or dots based on price position.
- RSI: Numeric value, colored by overbought/oversold levels.
- VIX: Numeric value, colored based on SPX trend and VIX level.
---
### **6. Alerts**
- Triggers alerts for EMA 8/20 crosses:
- Bullish: "EMA 8/20 Bullish Cross on Candle Close!"
- Bearish: "EMA 8/20 Bearish Cross on Candle Close!"
---
### **7. Key Features**
- **Flexibility**: Users can toggle indicators on/off in the table and adjust parameters.
- **Visual Clarity**: Consistent use of green (bullish), red (bearish), and neutral colors.
- **Comprehensive**: Combines trend, momentum, volatility, and market sentiment indicators.
---
### **How to Use**
1. Add the script to TradingView.
2. Customize inputs (colors, lengths, table position) as needed.
3. Interpret the chart and table:
- Green signals suggest bullish conditions.
- Red signals suggest bearish conditions.
- Neutral signals indicate indecision or consolidation.
4. Set up alerts for EMA crosses to catch trend changes.
This script is ideal for traders who want a multi-indicator dashboard to monitor price action and market conditions efficiently.
QuantJazz Turbine Trader BETA v1.17QuantJazz Turbine Trader BETA v1.17 - Strategy Introduction and User Guide
Strategy Introduction
Welcome to the QuantJazz Turbine Trader BETA v1.17, a comprehensive trading strategy designed for TradingView. This strategy is built upon oscillator principles, drawing inspiration from the Turbo Oscillator by RedRox, and incorporates multiple technical analysis concepts including RSI, MFI, Stochastic oscillators, divergence detection, and an optional FRAMA (Fractal Adaptive Moving Average) filter.
The Turbine Trader aims to provide traders with a flexible toolkit for identifying potential entry and exit points in the market. It presents information through a main signal line oscillator, a histogram, and various visual cues like dots, triangles, and divergence lines directly on the indicator panel. The strategy component allows users to define specific conditions based on these visual signals to trigger automated long or short trades within the TradingView environment.
This guide provides an overview of the strategy's components, settings, and usage. Please remember that this is a BETA version (v1.17). While developed with care, it may contain bugs or behave unexpectedly.
LEGAL DISCLAIMER: QuantJazz makes no claims about the fitness or profitability of this tool. Trading involves significant risk, and you may lose all of your invested capital. All trading decisions made using this strategy are solely at the user's discretion and responsibility. Past performance is not indicative of future results. Always conduct thorough backtesting and risk assessment before deploying any trading strategy with real capital.
This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International.
Core Concepts and Visual Elements
The Turbine Trader indicator displays several components in its own panel below the main price chart:
1. Signal Line (Avg & Avg2): This is the primary oscillator. It's a composite indicator derived from RSI, MFI (Money Flow Index), and Stochastic calculations, smoothed using an EMA (Exponential Moving Average).
Avg: The faster smoothed signal line.
Avg2: The slower smoothed signal line.
Color Coding: The space between Avg and Avg2 is filled. The color (Neon Blue/gColor or Neon Purple/rColor) indicates the trend based on the relationship between Avg and Avg2. Blue suggests bullish momentum (Avg > Avg2), while Purple suggests bearish momentum (Avg2 > Avg).
Zero Line Crosses: Crossovers of the Avg line with the zero level can indicate shifts in momentum.
2. Histogram (resMfi): This histogram is based on smoothed and transformed MFI calculations (Fast MFI and Slow MFI).
Color Coding: Bars are colored Neon Blue (histColorUp) when above zero, suggesting bullish pressure, and Neon Purple (histColorDn) when below zero, suggesting bearish pressure. Transparency is applied.
Zero Line Crosses: Crossovers of the histogram with the zero level can signal potential shifts in money flow.
3. Reversal Points (Dots): Dots appear on the Signal Line (specifically on Avg2) when the color changes (i.e., Avg crosses Avg2).
Small Dots: Appear when a reversal occurs while the oscillator is in an "extreme" zone (below -60 for bullish reversals, above +60 for bearish reversals).
Large Dots: Appear when a reversal occurs outside of these extreme zones.
Colors: Blue (gRdColor) for bullish reversals (Avg crossing above Avg2), Purple (rRdColor) for bearish reversals (Avg crossing below Avg2).
4. Take Profit (TP) Signals (Triangles): Small triangles appear above (+120) or below (-120) the zero line.
Bearish Triangle (Down, Purple rTpColor): Suggests a potential exit point for long positions or an entry point for short positions, based on the oscillator losing upward momentum above the 50 level.
Bullish Triangle (Up, Blue gTpColor): Suggests a potential exit point for short positions or an entry point for long positions, based on the oscillator losing downward momentum below the -50 level.
5. Divergence Lines: The strategy automatically detects and draws potential regular and hidden divergences between the price action (highs/lows) and the Signal Line (Avg).
Regular Bullish Divergence (White bullDivColor line, ⊚︎ label): Price makes a lower low, but the oscillator makes a higher low. Suggests potential bottoming.
Regular Bearish Divergence (White bearDivColor line, ⊚︎ label): Price makes a higher high, but the oscillator makes a lower high. Suggests potential topping.
Hidden Bullish Divergence (bullHidDivColor line, ⊚︎ label): Price makes a higher low, but the oscillator makes a lower low. Suggests potential continuation of an uptrend.
Hidden Bearish Divergence (bearHidDivColor line, ⊚︎ label): Price makes a lower high, but the oscillator makes a higher high. Suggests potential continuation of a downtrend.
Delete Broken Divergence Lines: If enabled, newer divergence lines originating from a similar point will replace older ones.
6. Status Line: A visual bar at the top (95 to 105) and bottom (-95 to -105) of the indicator panel. Its color intensity reflects the confluence of signals:
Score Calculation: +1 if Avg > Avg2, +1 if Avg > 0, +1 if Histogram > 0.
Top Bar (Bullish): Bright Blue (gStatColor) if score is 3, Faded Blue if score is 2, Black otherwise.
Bottom Bar (Bearish): Bright Purple (rStatColor) if score is 0, Faded Purple if score is 1, Black otherwise.
Strategy Settings Explained
The strategy's behavior is controlled via the settings panel (gear icon).
1. Date Range:
Start Date, End Date: Define the period for backtesting. Trades will only occur within this range.
2. Optional Webhook Configuration: (For Automation)
3C Email Token, 3C Bot ID: Enter your 3Commas API credentials if you plan to automate trading using webhooks. The strategy generates JSON alert messages compatible with 3Commas. You can go ahead and just leave the text field as defaulted, "TOKEN HERE" / "BOT ID HERE" if not using any bot automations at this time. You can always come back later and automate it. More info can be made available from QuantJazz should you need automation assistance with custom indicators and trading strategies.
3. 🚀 Signal Line:
Turn On/Off: Show or hide the main signal lines (Avg, Avg2).
gColor, rColor: Set the colors for bullish and bearish signal line states.
Length (RSI): The lookback period for the internal RSI calculation. Default is 2.
Smooth (EMA): The smoothing period for the EMAs applied to the composite signal. Default is 9.
RSI Source: The price source used for RSI calculation (default: close).
4. 📊 Histogram:
Turn On/Off: Show or hide the histogram.
histColorUp, histColorDn: Set the colors for positive and negative histogram bars.
Length (MFI): The base lookback period for MFI calculations. Default is 5. Fast and Slow MFI lengths are derived from this.
Smooth: Smoothing period for the final histogram output. Default is 1 (minimal smoothing).
5.💡 Other:
Show Divergence Line: Toggle visibility of regular divergence lines.
bullDivColor, bearDivColor: Colors for regular divergence lines.
Show Hidden Divergence: Toggle visibility of hidden divergence lines.
bullHidDivColor, bearHidDivColor: Colors for hidden divergence lines.
Show Status Line: Toggle visibility of the top/bottom status bars.
gStatColor, rStatColor: Colors for the status line bars.
Show TP Signal: Toggle visibility of the TP triangles.
gTpColor, rTpColor: Colors for the TP triangles.
Show Reversal points: Toggle visibility of the small/large dots on the signal line.
gRdColor, rRdColor: Colors for the reversal dots.
Delete Broken Divergence Lines: Enable/disable automatic cleanup of older divergence lines.
6. ⚙️ Strategy Inputs: (CRITICAL for Trade Logic)
This section defines which visual signals trigger trades. Each signal (Small/Large Dots, TP Triangles, Bright Bars, Signal/Histogram Crosses, Signal/Histogram Max/Min, Divergences) has a dropdown menu:
Long: This signal can trigger a long entry.
Short: This signal can trigger a short entry.
Disabled: This signal will not trigger any entry.
Must Be True Checkbox: If checked for a specific signal, that signal's condition must be met for any trade (long or short, depending on the dropdown selection for that signal) to be considered. Multiple "Must Be True" conditions act as AND logic – all must be true simultaneously.
How it Works:
The strategy first checks if all conditions marked as "Must Be True" (for the relevant trade direction - long or short) are met.
If all "Must Be True" conditions are met, it then checks if at least one of the conditions not marked as "Must Be True" (and set to "Long" or "Short" respectively) is also met.
If both steps pass, and other filters (like Date Range, FRAMA) allow, an entry order is placed.
Example: If "Large Bullish Dot" is set to "Long" and "Must Be True" is checked, AND "Bullish Divergence" is set to "Long" but "Must Be True" is not checked: A long entry requires BOTH the Large Bullish Dot AND the Bullish Divergence to occur simultaneously. If "Large Bullish Dot" was "Long" but not "Must Be True", then EITHER a Large Bullish Dot OR a Bullish Divergence could trigger a long entry (assuming no other "Must Be True" conditions are active).
Note: By default, the strategy is configured for long-only trades (strategy.risk.allow_entry_in(strategy.direction.long)). To enable short trades, you would need to comment out or remove this line in the Pine Script code and configure the "Strategy Inputs" accordingly.
7. 💰 Take Profit Settings:
Take Profit 1/2/3 (%): The percentage above the entry price (for longs) or below (for shorts) where each TP level is set. (e.g., 1.0 means 1% profit).
TP1/2/3 Percentage: The percentage of the currently open position to close when the corresponding TP level is hit. The percentages should ideally sum to 100% if you intend to close the entire position across the TPs.
Trailing Stop (%): The percentage below the highest high (for longs) or above the lowest low (for shorts) reached after the activation threshold, where the stop loss will trail.
Trailing Stop Activation (%): The minimum profit percentage the trade must reach before the trailing stop becomes active.
Re-entry Delay (Bars): The minimum number of bars to wait after a TP is hit before considering a re-entry. Default is 1 (allows immediate re-entry on the next bar if conditions met).
Re-entry Price Offset (%): The percentage the price must move beyond the previous TP level before a re-entry is allowed. This prevents immediate re-entry if the price hovers around the TP level.
8. 📈 FRAMA Filter: (Optional Trend Filter)
Use FRAMA Filter: Enable or disable the filter.
FRAMA Source, FRAMA Period, FRAMA Fast MA, FRAMA Slow MA: Parameters for the FRAMA calculation. Defaults provided are common starting points.
FRAMA Filter Type:
FRAMA > previous bars: Allows trades only if FRAMA is significantly above its recent average (defined by FRAMA Percentage and FRAMA Lookback). Typically used to confirm strong upward trends for longs.
FRAMA < price: Allows trades only if FRAMA is below the current price (framaSource). Can act as a baseline trend filter.
FRAMA Percentage (X), FRAMA Lookback (Y): Used only for the FRAMA > previous bars filter type.
How it Affects Trades: If Use FRAMA Filter is enabled:
Long entries require the FRAMA filter condition to be true.
Short entries require the FRAMA filter condition to be false (as currently coded, this acts as an inverse filter for shorts if enabled).
How to Use the Strategy
1. Apply to Chart: Open your desired chart on TradingView. Click "Indicators", find "QuantJazz Turbine Trader BETA v1.17" (you might need to add it via Invite-only scripts or if published publicly), and add it to your chart. The oscillator appears below the price chart, and the strategy tester panel opens at the bottom.
2. Configure Strategy Properties: In the Pine Script code itself (or potentially via the UI if supported), adjust the strategy() function parameters like initial_capital, default_qty_value, commission_value, slippage, etc., to match your account, broker fees, and risk settings. The user preferences provided (e.g., 1000 initial capital, 0.1% commission) are examples. Remember use_bar_magnifier is false by default in v1.17.
3. Configure Inputs (Settings Panel):
Set the Date Range for backtesting.
Crucially, configure the ⚙️ Strategy Inputs. Decide which signals should trigger entries and whether they are mandatory ("Must Be True"). Start simply, perhaps enabling only one or two signals initially, and test thoroughly. Remember the default long-only setting unless you modify the code.
Set up your 💰 Take Profit Settings, including TP levels, position size percentages for each TP, and the trailing stop parameters. Decide if you want to use the re-entry feature.
Decide whether to use the 📈 FRAMA Filter and configure its parameters if enabled.
Adjust visual elements (🚀 Signal Line, 📊 Histogram, 💡 Other) as needed for clarity.
4. Backtest: Use the Strategy Tester panel in TradingView. Analyze the performance metrics (Net Profit, Max Drawdown, Profit Factor, Win Rate, Trade List) across different assets, timeframes, and setting configurations. Pay close attention to how different "Strategy Inputs" combinations perform.
5. Refine: Based on backtesting results, adjust the input settings, TP/SL strategy, and signal combinations to optimize performance for your chosen market and timeframe, while being mindful of overfitting.
6. Automation (Optional): If using 3Commas or a similar platform:
Enter your 3C Email Token and 3C Bot ID in the settings.
Create alerts in TradingView (right-click on the chart or use the Alert panel).
Set the Condition to "QuantJazz Turbine Trader BETA v1.17".
In the "Message" box, paste the corresponding placeholder, which will pass the message in JSON from our custom code to TradingView to pass through your webhook: {{strategy.order.alert_message}}.
In the next tab, configure the Webhook URL provided by your automation platform. Put a Whale sound, while you're at it! 🐳
When an alert triggers, TradingView will send the pre-formatted JSON message from the strategy code to your webhook URL.
Final Notes
The QuantJazz Turbine Trader BETA v1.17 offers a wide range of customizable signals and strategy logic. Its effectiveness heavily depends on proper configuration and thorough backtesting specific to the traded asset and timeframe. Start with the default settings, understand each component, and methodically test different combinations of signals and parameters. Remember the inherent risks of trading and never invest capital you cannot afford to lose.
MA SniperThis indicator automatically finds the most effective moving average to use in a price crossover strategy—so you can focus on trading, not testing. It continuously evaluates a wide range of moving average periods, ranks them based on real-time market performance, and selects the one delivering the highest quality signals. The result? A smarter, adaptive tool that shows you exactly when price crosses its optimal moving average—bullish signals in green, bearish in red.
What makes it unique is the way it thinks.
Under the hood, the script doesn’t just pick a random MA or let you choose one manually. Instead, it backtests a large panel of moving average lengths for the current asset and timeframe. It evaluates each one by calculating its **Profit Factor**—a key performance metric used by pros to measure the quality of a strategy. Then, it assigns each MA a score and ranks them in a clean, built-in table so you can see, at a glance, which ones are currently most effective.
From that list, it picks the top-performing MA and uses it to generate live crossover signals on your chart. That MA is plotted automatically, and the signals adapt in real-time. This isn’t a static setup—it’s a dynamic system that evolves as the market evolves.
Even better: the indicator detects the type of instrument you’re trading (forex, stocks, etc.) and adjusts its internal calculations accordingly, including how many bars per day to consider. That means it remains highly accurate whether you’re trading EURUSD, SPX500, or TSLA.
You also get a real-time dashboard (via the table) that acts as a transparent scorecard. Want to see how other MAs are doing? You can. Want to understand why a certain MA was selected? The data is right there.
This tool is for traders who love crossover strategies but want something smarter, faster, and more precise—without spending hours manually testing. Whether you're scalping or swing trading, it offers a data-driven edge that’s hard to ignore.
Give it a try—you’ll quickly see how powerful it can be when your MA does the thinking for you.
This tool is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Use responsibly.
MA Trend ScoreA Trend Score Indicator inspired by an interview by Navy Ramavat, where I liked the idea presented and decided to publish a script for it.
Disclaimer: I am not associated with Navy Ramavat in any manner.
The goal is to objectify the trend of an instrument and calculate a score which represents the trend strength and direction.
The score is calculated as follows:
If price is > EMA 20 add 1 to the score
If price is > EMA 50 add 1 to the score
If price is > EMA 100 add 1 to the score
If EMA 20 is > EMA 50 add 1 to the score
If EMA 20 is > EMA 100 add 1 to the score
If EMA 50 is > EMA 100 add 1 to the score
If EMA 20 is < EMA 50 deduct 1 from the score
If EMA 20 is < EMA 100 deduct 1 from the score
If EMA 50 is < EMA 100 deduct 1 from the score
The highest score can be 6, and lowest score can be -6
The trend score can be used as per your discretion on the long and short side.
An example of using the trend score on the long side for position sizing is:
100% position size if Score greater than 4
75% position size if Score between 2-4
50% position size if Score between 0-2
25% position size if Score between 0 and -2
0% position size if Score is less than -2
