Bitcoin Daily Support/ResistanceA new indicator for tradingview.
Indicator Overview
The 2-Year MA Multiplier is intended to be used as a long term investment tool.
It highlights periods where buying or selling Bitcoin during those times would have produced outsized returns.
To do this, it uses a moving average (MA) line, the 2yr MA, and also a multiplication of that moving average line, 2yr MA x5.
Note: the x5 multiplication is of the price values of the 2yr moving average, not of its time period.
Buying Bitcoin when price drops below the 2yr MA (green line) has historically generated outsized returns. Selling Bitcoin when price goes above the 2yr MA x 5 (red line) has been historically effective for taking profit.
Why This Happens
As Bitcoin is adopted, it moves through market cycles. These are created by periods where market participants are over-excited causing the price to over-extend, and periods where they are overly pessimistic where the price over-contracts. Identifying and understanding these periods can be beneficial to the long term investor.
This tool is a simple and effective way to highlight those periods
MA 50/100/150 was historically good support and resistance. When we cross them we have a new trend that is established.
Search in scripts for "Cycle"
Cyclical bands v1This indicator is the evolution of the Bollinger bands, but adapted to our philosophy of cyclicality!
Highlight the excesses of the cycles.
Its construction is based on our centered medium design.
It works great when paired with our Cyclical Volatility Index indicator.
This fantastic indicator can be set at will!
It is possible to set the bands based on a variation of the standard deviation or percentage!
The bands are dual zones, in the sense that each band can be configured independently from the other, for example:
upper band% variation + 20
lower band% variation +15
For any bugs contact the creators
Bitcoin Cycle Top IndicatorBitcoin Cycle Top Indicator on the 1W Bitcoin Logarithmic chart.
Called all 3 tops so far to a T, this indicator will be great use for the next upcoming cycle.
I kept it sweet and simple, no need to overcomplicate. That's all this indicator does.
HurstCycles PeaksOnly way I found to plot hurst cycles. I gave up on anything other than daily chart.
Published on request.
HurstCycles ThroughsOnly way I found to plot hurst cycles. I gave up on anything other than daily chart.
Published on request.
"Cycling Willy" Indicator very good tbuy/sell/trend signals!This oscillator is based on the williams%R combined with EMA's for better signals. it shows momentum and ob/os signals and indicates market cycles.
you can switch between the two EMA's for more direct or filtered signals and smooth the %R if needed.
i added 4 alertconditions to be triggered on crossovers of signal EMA and Filter EMA.
please let me know in the comments what you think about the indicator!!
happy trading!
Advanced Time TechniqueAdvanced Time Technique (ATT)
The Advanced Time Technique (ATT) identifies mathematically significant price levels based on candle count sequences within higher timeframes. The indicator tracks specific numerical patterns to project potential reversal zones.
Calculation Methodology:
- Monitors candle cycles in user-selected higher timeframes (1H, 2H, 3H)
- Identifies key candle counts: 3, 11, 17, 29, 41, 47, 53, 59
- Projects these counts as visual markers on the current chart
- Uses pure price action without lagging indicators
Key Features:
- HTF Candle Boxes: Displays higher timeframe candle ranges as colored boxes
- ATT Circles: Places circular markers at specified candle counts
- Multi-timeframe Analysis: References 1-hour, 2-hour, or 3-hour timeframes
- Prediction Labels: Shows upcoming ATT levels within user-defined range
- Historical Display: Optional viewing of past ATT markers
Visual Components:
- Colored boxes representing HTF candle ranges (bullish/bearish)
- Circle markers positioned above/below bars based on candle color
- Optional numerical display on ATT circles
- Customizable colors and transparency settings
Trading Applications:
- Identifies potential reversal zones at mathematically significant intervals
- Highlights liquidity concentration areas
- Useful for intraday and scalp trading strategies
- Complements price action and market structure analysis
The indicator works by counting candles within the selected higher timeframe and marking specific numerical sequences where price reactions commonly occur.
Crypto Compass | QuantEdgeBIntroducing Crypto Compass | QuantEdgeB
Overview
Crypto Compass | QuantEdgeB is a multi-asset market regime indicator that decodes the collective momentum and sentiment of the cryptocurrency space. By computing correlation-adjusted valuation across a basket of major tokens and blending them with the chart’s own momentum pulse, it delivers a real-time “compass” of risk-on/off regimes. Plotted as dual EMAs and color-coded candles, and accompanied by a comprehensive dashboard table, Crypto Compass guides traders through broad market cycles instead of isolated price swings.
Key Features
• Correlation-Adjusted Valuation Aggregation
Computes individual valuation for the top 30 Market Cap tokens plus total-market indices; weights each by its correlation to Bitcoin, then averages.
• Large-Cap-Only Mode
Optionally restricts the basket to the top 10 by market cap for a streamlined “blue-chip” sentiment readout.
• Composite Momentum Blend
Mixes the basket average with the chart’s own valuation to capture both cross-asset and local momentum.
• Dual EMA Overlay & Candle Coloring
Plots 12- and 21-period EMAs colored by the composite valuation gradient; candles are likewise color-filled to reflect regime strength.
• Interactive Dashboard Table
Live “Crypto Compass Dashboard” shows, for each asset:
o Current value & prior bar value
o Rate of Change (direction arrow)
o Duration since last EMA crossover
o Current trend state (“Bullish” / “Bearish”)
• Regime Labels & Risk-On/Off Signal
Translates the composite valuation into four regimes—Contraction, Weak, Recovery, Strong—with a clear risk-on/off indicator banner.
How It Works
1. Data Fetch & Valuation Computation
o Retrieves price and a simple TPI (12 vs 21 EMA cross) for each symbol via request.security.
o Calculates a rolling standard deviation over a lookback (length) for each asset and the chart.
2. Correlation Weighting
o Measures each asset’s correlation to Bitcoin
o Multiplies each asset’s value by its correlation coefficient to emphasize high-beta relationships.
3. Basket Averaging
o Averages the top-N weighted value (10 if “Large Cap Only” is true, else all )
o Blends the final average with the chart’s own valuation
4. Visual & Table Overlays
o EMAs (12, 21) and candles are colored via a gradient tied to zsumad thresholds.
o A table grid at the bottom-right displays per-asset metrics and computes duration since TPI crossovers to flag trend longevity.
5. Regime Mapping
≤ –1.5 ⇒ Contraction (Risk Off)
–1.5 to 0 ⇒ Weak (Risk Off)
0 to 1.5 ⇒ Recovery (Risk On)
1.5 ⇒ Strong (Risk On)
How to Use / Who Should Use It
• Crypto Portfolio Managers seeking a holistic market-wide directional bias before allocating capital.
• Swing & Position Traders looking to confirm if cross-asset strength aligns with their primary coin.
• Systematic Strategy Developers integrating regime filters into algorithmic models.
• Risk-Conscious Allocators wanting an early warning on risk-off contractions vs. risk-on expansions.
Default Settings
• Plot EMA: On
• Value Lookback Length: 90
• BTC Correlation Length: 195
• Large Cap Only: True
Conclusion
Crypto Compass distills complex cross-asset dynamics into a single, actionable gauge. By combining correlation-weighted valuation, blended momentum, and dynamic regime mapping—visualized through color-coded EMAs, candles, and a rich dashboard—it empowers traders to navigate the broader crypto market cycle with clarity and confidence.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
2-Year MA Multiplier [UAlgo]The 2-Year MA Multiplier is a technical analysis tool designed to assist traders and investors in identifying potential overbought and oversold conditions in the market. By plotting the 2-year moving average (MA) of an asset's closing price alongside an upper band set at five times this moving average, the indicator provides visual cues to assess long-term price trends and significant market movements.
🔶 Key Features
2-Year Moving Average (MA): Calculates the simple moving average of the asset's closing price over a 730-day period, representing approximately two years.
Visual Indicators: Plots the 2-year MA in forest green and the upper band in firebrick red for clear differentiation.
Fills the area between the 2-year MA and the upper band to highlight the normal trading range.
Uses color-coded fills to indicate overbought (tomato red) and oversold (cornflower blue) conditions based on the asset's closing price relative to the bands.
🔶 Idea
The concept behind the 2-Year MA Multiplier is rooted in the cyclical nature of markets, particularly in assets like Bitcoin. By analyzing long-term price movements, the indicator aims to identify periods of significant deviation from the norm, which may signal potential buying or selling opportunities.
2-year MA smooths out short-term volatility, providing a clearer view of the asset's long-term trend. This timeframe is substantial enough to capture major market cycles, making it a reliable baseline for analysis.
Multiplying the 2-year MA by five establishes an upper boundary that has historically correlated with market tops. When the asset's price exceeds this upper band, it may indicate overbought conditions, suggesting a potential for price correction. Conversely, when the price falls below the 2-year MA, it may signal oversold conditions, presenting potential buying opportunities.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Session OHLC [neo.|]OHLC/OLHC and Po3 (Power of Three by ICT) are both concepts describing a potential way to describe candle formations. While OHLC stands for Open High Low Close, what it usually refers to is the bearish scenario of how a candle first opens, manipulates until the high then creates the low before closing, and vice versa for OLHC. Po3 goes hand in hand with this concept as a way to sequentialize this candle formation into three separate cycles seen on a lower timeframe known as "Accumulation", "Manipulation", and "Distribution". Where the accumulation in the OHLC scenario would be the range created before the high, the manipulation being the high, and the distribution being the run downwards to the low.
What Session OHLC allows you to do, is to view these Po3 scenarios not through a higher timeframe candle perspective, but instead through a fully customizable session perspective. For example, you might want to see a specific period of time as a candle to simplify the process of identifying an AMD cycle, and all you would need to do is to enter that period of time in the indicator settings, and when you are at that period of time, you will see it being represented as a bar candle, with the session open, high, low, and close being annotated as O, H, L, and C.
This is especially useful for when you want to track the manipulation before a session open, or track a specific time where there is more volume in the market, allowing you to enter trades prior to when a distribution phase will begin.
Currently, you are able to select up to 4 different sessions that will appear on your chart while the session is active, however it is a good idea for the session times you choose not to overlap as the drawings will overlap as well. If you would like to monitor two times that happen to overlap, it is a good idea to add another instance of the indicator to your chart, and adjust the bar offset on one of them in the settings.
Ehlers Modified Relative Strength Index [CC]The Modified Relative Strength Index was created by John Ehlers (Cycle Analytics For Traders pgs 87-88) and this is a typical RSI that uses his roofing filter as the input. He smooths it with his own super smoother filter to provide signals. This indicator is extremely reactive and works in cycles so keep that in mind. I haven't been able to come up with clear buy and sell signals at this point so let me know if you any suggestions but I'm publishing the code to complete my goal of publishing all of his work one day. I will be publishing a bunch of Ehlers scripts in the next few weeks so stay tuned. What I recommend for buy and sell signals at this point are to buy when the indicator goes below the oversold line and starts going up and sell when the indicator goes below the oversold line a second time. Vice versa for sell signals.
Let me know if there are any other scripts you would like to see me publish!
Financial Astrology Venus LongitudeVenus energy influence the affections, beauty, passion, arts, festivities, finance, marriage, speculation. As a traders the Venus cycle will determine the affection, love and interest we manifest for specific industries that we perceive more fascinating and seductive for our speculation purposes. Financial astrologer Bill Meridian suggest that Venus rules the industries of "recreation, cosmetics, fashion, leisure".
Personally I believe that the affection to hold shares within specific industries will be determined by the zodiac sign position of Venus. For example, Venus in Aries will rule sports, war industry, high risk and volatility, in Taurus the land, agriculture, cattle raising, banks, exchanges and and desire for stability, in Gemini the mass media, newspapers, marketing, publishing house, conferences and desire to discuss the trending topics, in Cancer the real state, bars and restaurants, fishing and so forth with the standard zodiac sign industries rulership. Therefore, traders will feel more affection for the industries / emotional behavior ruled by the sign that Venus is transiting. Therefore, as Venus transition to other signs that are incompatible with an industry characteristics, that desire to hold shares in a given industry would diminish.
Within the financial astrology research we have identified that the BTCUSD bullish Venus zodiac signs are: Aries, Gemini, Leo, Virgo, Scorpio, Aquarius and Pisces. The bearish signs are: Taurus, Cancer, Libra and Capricorn. The other signs show mixed results. As expected, Aquarius was a prominent position due to the fact that represent "technology and innovation", Pisces seem very relevant because represent the destruction of the previous model, the end of the traditional banks financial system in favor of the decentralized finances (DeFI) approach. Aries, because is the entrepreneurship spirit of the new opportunities that arise with this financial system transition where masses are willing to start trying, exploring and taking risks (adventures) in this alternative way to manage and storing your assets. Leo because cryptocurrencies is the new tech fashion and hot speculation area. Virgo because it provide a perfect immutable decentralised database (the blockchain) that couldn't be altered or manipulated so is precise and exact financial system that correlate well with the precision and exactness affection we feel within Virgo influence.
With this indicator there is unlimited possibilities to explore across different markets to strudy how the Venus energy influence plays out, no more manual chart annotations to identify the zodiac sign location of Venus. We encourage you to analyze this zodiac sign cycles in different markets and share with us your observations, leave us a comment with your research outcomes. Happy research!
Note: The Venus tropical longitude indicator is based on an ephemeris array that covers years 2010 to 2030, prior or after this years the longitude is not available, this daily ephemeris are based on UTC time so in order to align properly with the price bars times you should set UTC as your chart reference timezone.
Ehlers Sinewave Indicator V2 [CC]The Sinewave Indicator was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pgs 154-155) and this is an updated version of his original Sinewave Indicator which in my opinion seems to be more reactive to changes. Buy when the blue line crosses over the red line and sell when the blue line crosses under the red line. Also keep in mind that this indicator is based on cycles so it won't act the same as a typical indicator.
Let me know if there are other scripts you would like to see me publish or if you want something custom done!
Bitcoin: Price Action Integral BandsThis indicator tries to display absolute tops and bottoms for Bitcoin. The price action gets integrated with two custom functions resulting in the blue top and red bottom price action integrals. From those integral values we allow 5% deviation in up and down direction, leading to price action integral bands of some non-zero width.
Even in the current liquidity crisis with abnormal price movements, Bitcoin had no weekly candle close below the support band. One thing to note is that in the here presented model, up until now only one single weekly candle touches the blue band in each of Bitcoin's cycles. For longer-term trades it might be a good idea to buy BTC when price is around the red band, and sell/go short when BTC is around the blue band, although this is no financial advice and one should always cross-check with other indicators/informations.
There's the option to plot or hide the bands individually.
The integral bands are specifically designed for the Bitcoin BLX (BraveNewCoin Liquid Index) ticker on weekly timeframe. For other assets, tickers and timeframes the functionality of this indicator cannot be guaranteed and will most probably not deliver meaningful results.
TOP & BOTTOM Cycle [aamonkey]Works best on BTC and only on the daily timeframe!
This is a TOP / BOTTOM indicator for big market cycles.
These tops and bottoms are based on the difference between the 200MA on the daily and the price.
Recursive StochasticThe Self Referencing Stochastic Oscillator
The stochastic oscillator bring values in range of (0,100). This process is called Feature scaling or Unity-Based Normalization
When a function use recursion you can highlights cycles or create smoother results depending on various factors, this is the goal of a recursive stochastic.
For example : k = s(alpha*st+(1-alpha)*nz(k )) where st is the target source.
Using inputs with different scale level can modify the result of the indicator depending on which instrument it is applied, therefore the input must be normalized, here the price is first passed through a stochastic, then this result is used for the recursion.
In order to control the level of the recursion, weights are distributed using the alpha parameter. This parameter is in a range of (0,1), if alpha = 1, then the indicator act as a normal stochastic oscillator, if alpha = 0, then the indicator return na since the initial value for k = 0. The smaller the alpha parameter, the lower the correlation between the price and the indicator, but the indicator will look more periodic.
Comparison
Recursive Stochastic oscillator with alpha = 0.1 and bellow a classic oscillator (alpha = 1)
The use of recursion can both smooth the result and make it more reactive as well.
Filter As Source
It is possible to stabilize the indicator and make it less affected by outliers using a filter as input.
Lower alpha can be used in order to recover some reactivity, this will also lead to more periodic results (which are not inevitably correlated with price)
Hope you enjoy
For any questions/demands feel free to pm me, i would be happy to help you
Spooky Time (10/31/25) [VTB]Get ready to add some eerie fun to your charts this Halloween! "Spooky Time" is a lighthearted indicator that draws a festive, animated Halloween scene right on your TradingView chart. Perfect for traders who want to celebrate the spooky season without missing a beat on the markets. Whether you're analyzing stocks, crypto, or forex, this overlay brings a touch of holiday spirit to your setup.
#### Key Features:
- **Jack-o'-Lantern Pumpkin**: A detailed, glowing pumpkin with carved eyes, nose, and a jagged mouth. The eyes and mouth cycle through black (off), yellow, and red glows for a subtle animation effect, giving it that classic haunted vibe.
- **Flickering Candle**: A wax candle with a wick and an animated flame that shifts positions slightly across three frames, mimicking a real flickering light. The flame color changes between yellow, red, and orange for added dynamism.
- **Spider Web and Spider**: A spiral web with radial lines, complete with a creepy-crawly spider. The spider's legs animate with small movements, as if it's ready to pounce—perfect for that extra spooky touch!
- **Customization Options**: Toggle the "Desiringmachine" label on/off, choose its position on the chart (e.g., Bottom Center), and select the text color. The entire scene is positioned relative to the chart's open price and ATR for better scaling.
- **Animation Cycle**: The whole setup uses a simple 3-frame animation based on bar_index, making it feel alive without overwhelming your chart.
This indicator is purely visual and non-intrusive—it doesn't plot any trading signals or data, so it won't interfere with your strategies. Just add it to your chart for some Halloween cheer during your trading sessions!
**Date Note**: Timed for Halloween 2025 (10/31/25)—feel the spooky energy!
**Happy Halloween!!!** 🎃👻🕸️
Seasonality Forecast 4H A seasonality indicator shows recurring patterns in data that occur at the same time each year, such as retail sales peaking during the holidays or demand for ice cream rising in the summer. These indicators are used in fields like business, economics, and finance to identify predictable, time-based fluctuations, allowing for better forecasting and strategic planning, like adjusting inventory or staffing levels. In trading, a seasonality indicator can show historical patterns, like an asset's tendency to rise or fall in a specific month, to provide additional context for decision-making.
Seasonality reasoning basically seasonality works most stably on the daily frame with the input parameter being trading day 254 or calendar day 365, ..
Use seasonal effects such as sell in May, buy Christmas season, or exploit factors such as sell on Friday, ... to track the price movement.
The lower the time frame, the more parameters need to be calculated and the more complicated. I have tried to code the version with 1 hour, 15 minutes and 4 hours time frames
On the statistical language R and Python, Pine script
Tradingview uses the exclusive and unique Pine language. There is a parameter limit, just need to change the number of forecast days or calculate shorter or only calculate the basic end time value, we seasonality still works
but the overall results are easily noisy and related to controlling the number of orders per week/month and risk management.
The 4-hour frame version works well because we exploit the seasonal factor according to the 4-hour trading session as a trading session
Every 4 hours we have an input value that corresponds to the Asian, European, and American trading sessions
4 hours - half a morning Asian session.4 hours - half an afternoon Asian session, 4 hours - half a morning European session, 4 hours - half an afternoon European session, similar to the US and repeat the cycle.
Input Parameter Declaration
Tradingview does not exist declaration form day_of_year = dayofyear(time) Pine Script v5:
Instead of using dayofyear, we manually calculate the number of days in a year from the time components.
// Extract year, month, day, hour
year_now = year(time)
month_now = month(time)
day_now = dayofmonth(time)
hour_now = hour(time)
// Precomputed cumulative days per month (non-leap year)
days_before_month = array.from(0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334)
// Calculate day-of-year
day_of_year = array.get(days_before_month, month_now - 1) + day_now
Input parameter customization window
Lookback period years default is 10, max - the number of historical bars we have, should only be 5 years, 10 years, 15 years, 20 years, 30 years.
Future project bar default is 180 bars - 1 month. We can adjust arbitrarily 6*24*254 - day/month/year
smoothingLength Smooth the data (1 = no smoothing)
offsetBars Move the forecast line left/right to check the past
How to use
Combine seasonality with Supply Demand, Footprint volume profile to find long-term trends or potential reversal points
day_of_year := day_of_year + ((is_leap and month_now > 2) ? 1 : 0)
// Compute bin index
binIndex = (day_of_year * sessionsPerDay) + math.floor(hour_now / 4)
binIndex := binIndex % binsPerYear // Keep within array bounds
The above is the manual code to replace day of year
Swing Oracle Stock 2.0- Gradient Enhanced# 🌈 Swing Oracle Pro - Advanced Gradient Trading Indicator
**Transform your technical analysis with stunning gradient visualizations that make market trends instantly recognizable.**
## 🚀 **What Makes This Indicator Special?**
The **Swing Oracle Pro** revolutionizes traditional technical analysis by combining advanced NDOS (Normalized Distance from Origin of Source) calculations with a sophisticated gradient color system. This isn't just another indicator—it's a complete visual trading experience that adapts colors based on market strength, making trend identification effortless and intuitive.
## 🎨 **10 Professional Gradient Themes**
Choose from carefully crafted color schemes designed for optimal visual clarity:
- **🌅 Sunset** - Warm oranges and purples for classic elegance
- **🌊 Ocean** - Cool blues and teals for calm analysis
- **🌲 Forest** - Natural greens and browns for organic feel
- **✨ Aurora** - Ethereal greens and magentas for mystique
- **⚡ Neon** - Vibrant electric colors for high-energy trading
- **🌌 Galaxy** - Deep purples and cosmic hues for night sessions
- **🔥 Fire** - Intense reds and golds for volatile markets
- **❄️ Ice** - Cool whites and blues for clear-headed decisions
- **🌈 Rainbow** - Full spectrum for comprehensive analysis
- **⚫ Monochrome** - Professional grays for focused trading
## 📊 **Core Features**
### **Advanced NDOS System**
- Normalized Distance from Origin of Source calculation with 231-period length
- Smoothed with customizable EMA for reduced noise
- Multi-timeframe confirmation with H1 filter option
- Dynamic gradient coloring based on oscillator position
### **Intelligent Visual Feedback**
- **Primary Gradient Line** - Main NDOS plot with dynamic color transitions
- **Gradient Fill Zones** - Beautiful color-coded areas for bullish, neutral, and bearish regions
- **Smart Transparency** - Colors adjust intensity based on market volatility
- **Dynamic Backgrounds** - Subtle gradient backgrounds that respond to market conditions
### **Enhanced EMA Projection System**
- 75/760 period EMA normalization with 50-period lookback
- Gradient-colored projection line for trend forecasting
- Toggleable display with advanced gradient controls
- Price tracking for precise level identification
### **Multi-Timeframe Analysis Table**
- Real-time trend analysis across 6 timeframes (1m, 3m, 5m, 15m, 1H, 4H)
- Gradient-colored cells showing trend strength
- Customizable table size and position
- Professional emoji indicators (🚀 UP, 📉 DOWN, ➡️ FLAT)
### **Signal System**
- **Gradient Buy Signals** - Triangle up arrows with intensity-based coloring
- **Gradient Sell Signals** - Triangle down arrows with strength indicators
- **Alert Conditions** - Built-in alerts for all signal types
- **7-Day Cycle Tracking** - Tuesday-to-Tuesday weekly cycle visualization
## ⚙️ **Customization Controls**
### **🎨 Gradient Controls**
- **Gradient Intensity** - Adjust color vibrancy (0.1-1.0)
- **Gradient Smoothing** - Control color transition smoothness (1-10 periods)
- **Dynamic Background** - Toggle animated background gradients
- **Advanced Gradients** - Enable/disable EMA projection and enhanced features
### **🛠️ Custom Color System**
- **Bullish Colors** - Define custom start/end colors for bull markets
- **Bearish Colors** - Set personalized bear market gradients
- **Full Theme Override** - Create completely custom color schemes
- **Real-time Preview** - See changes instantly on your chart
## 📈 **How to Use**
1. **Choose Your Theme** - Select from 10 professional gradient themes
2. **Configure Levels** - Adjust high/low levels (default 60/40) for your timeframe
3. **Set Smoothing** - Fine-tune gradient smoothing for your trading style
4. **Enable Features** - Toggle background gradients, candlestick coloring, and advanced EMA projection
5. **Monitor Signals** - Watch for gradient buy/sell arrows and multi-timeframe confirmations
## 🎯 **Trading Applications**
- **Swing Trading** - Perfect for identifying medium-term trend changes
- **Scalping** - Multi-timeframe table provides quick trend confirmation
- **Position Sizing** - Gradient intensity shows signal strength for risk management
- **Market Analysis** - Beautiful visualizations make complex data instantly understandable
- **Education** - Ideal for learning market dynamics through visual feedback
## ⚡ **Performance Optimized**
- **Smart Rendering** - Colors update only on significant changes
- **Efficient Calculations** - Optimized algorithms for smooth performance
- **Memory Management** - Minimal resource usage even with complex gradients
- **Real-time Updates** - Responsive to market changes without lag
## 🚨 **Alert System**
Built-in alert conditions notify you when:
- NDOS crosses above high level (Buy Signal)
- NDOS crosses below low level (Sell Signal)
- Multi-timeframe confirmations align
- Customizable alert messages with emoji indicators
## 🔧 **Technical Specifications**
- **PineScript Version**: v6 (Latest)
- **Overlay**: True (plots on main chart)
- **Calculations**: NDOS, EMA normalization, volatility-based transparency
- **Timeframes**: Compatible with all timeframes
- **Markets**: Stocks, Forex, Crypto, Commodities, Indices
## 💡 **Why Choose Swing Oracle Pro?**
This isn't just another technical indicator—it's a complete visual transformation of your trading experience. The gradient system provides instant visual feedback that traditional indicators simply can't match. Whether you're a beginner learning to read market trends or an experienced trader seeking clearer signals, the Swing Oracle Pro delivers professional-grade analysis with unprecedented visual clarity.
**Experience the future of technical analysis. Your charts will never look the same.**
---
*⚠️ Disclaimer: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own research and consider risk management before making trading decisions.*
**🔔 Like this indicator? Please leave a comment and boost! Your feedback helps improve future updates.**
---
**📝 Tags:** #GradientTrading #SwingTrading #NDOS #MultiTimeframe #TechnicalAnalysis #VisualTrading #TrendAnalysis #ColorCoded #ProfessionalCharts #TradingToo
Bullish Divergence SMI Base & Trigger with ATR FilterDescription:
A bullish divergence indicator combining the Stochastic Momentum Index (SMI) and Average True Range (ATR) to pinpoint high-probability entries:
1. Base Arrow (Orange ▲):
• Marks every SMI %K / %D bullish crossover where %K < –70 (deep oversold)—the first half of the divergence setup.
• Each new qualifying crossover replaces the previous base, continuously “arming” the divergence signal.
• Configurable SMI lookbacks, oversold threshold, and a base timeout (default 100 days) to clear stale bases.
2. Trigger Arrow (Green ▲):
• Completes the bullish divergence: fires on the next SMI bullish crossover where %K > –60 and price has dropped below the base arrow’s close by at least N × ATR (default 1 × 14-day ATR).
• A dashed green line links the base and trigger to visually confirm the divergence.
• Resets after triggering, ready for a new divergence cycle.
Inputs:
• SMI %K Length, EMA Smoothing, %D Length
• Oversold Base Level (–70), Trigger Level (–60)
• ATR Length (14), ATR Multiplier (1.0)
• Base Timeout (100 days)
Ideal for any market, this study highlights genuine bullish divergences—oversold momentum crossovers that coincide with significant price reactions—before entering long trades.
Investor Tool - Z ScoreThe Investor Tool is intended as a tool for long term investors, indicating periods where prices are likely approaching cyclical tops or bottoms. The tool uses two simple moving averages of price as the basis for under/overvalued conditions: the 2-year MA (green) and a 5x multiple of the 2-year MA (red).
Price trading below the 2-year MA has historically generated outsized returns, and signalled bear cycle lows.
Price trading above the 2-year MA x5 has been historically signalled bull cycle tops and a zone where investors de-risk.
Just like the Glassnode one, but here on TV and with StDev bands
Now with Z-SCORE calculation:
The Z-Score is calculated to be -3 Z at the bottom bands and 3 Z at the top bands
mean = (upper_sma + bottom_sma) / 2
bands_range = upper_sma - bottom_sma
stdDev = bands_range != 0 ? bands_range / 6 : 0
zScore = stdDev != 0 ? (close - mean) / stdDev : 0
Created for TRW
Gann Ultimate Time-Price Squares Method V 1.0This Script is an outcome of my Passion towards Gann Theory and his Methodology towards Trading.
The Script is still Evolving.So wait for more updates....
# Complete Trading Guide: Gann Time-Price Squares Indicator
## 🎯 Core Trading Philosophy
**Gann's Key Principle**: "When time and price come together, a change in trend occurs."
Your indicator identifies these critical moments where **Time = Price**, creating high-probability trading opportunities.
---
## 📊 Setup & Configuration
### Recommended Settings by Timeframe
| Timeframe | Pivot Lookback | Min Price Move | Tolerance | Use Case |
|-----------|---------------|----------------|-----------|----------|
| **1-5 min** | 5-8 bars | 0.5-1.0 | 1.0-2.0 | Scalping |
| **15-30 min** | 8-12 bars | 1.0-3.0 | 1.5-2.5 | Day Trading |
| **1-4 hour** | 10-15 bars | 2.0-5.0 | 2.0-3.0 | Swing Trading |
| **Daily** | 15-25 bars | 5.0-20.0 | 3.0-5.0 | Position Trading |
### Initial Setup Steps
1. **Add indicator** to your chart
2. **Set lookback period** based on your timeframe
3. **Adjust tolerance** - start with 2.0 and fine-tune
4. **Enable all visualizations** initially
5. **Position info table** where it doesn't block price action
---
## 🚀 Trading Strategies
### Strategy 1: Square Completion Reversal Trading
#### **Long Entry Setup**
```
CONDITIONS:
✅ Bullish square completes (green box appears)
✅ Info table shows "✅ COMPLETED" status
✅ Price bounces off square's bottom edge
✅ Volume increases on bounce
✅ RSI < 30 (oversold confirmation)
ENTRY: Market buy when price breaks above square's top edge
STOP: Below square's bottom edge (-2 ATR)
TARGET: Next resistance level or 1:2 Risk/Reward
```
#### **Short Entry Setup**
```
CONDITIONS:
✅ Bearish square completes (red box appears)
✅ Info table shows "✅ COMPLETED" status
✅ Price rejects square's top edge
✅ Volume increases on rejection
✅ RSI > 70 (overbought confirmation)
ENTRY: Market sell when price breaks below square's bottom edge
STOP: Above square's top edge (+2 ATR)
TARGET: Next support level or 1:2 Risk/Reward
```
### Strategy 2: Gann Angle Trend Following
#### **1x1 Angle (45°) - The Master Angle**
- **Most Important**: This is Gann's primary trend line
- **Bullish**: Price above 1x1 = uptrend intact
- **Bearish**: Price below 1x1 = downtrend intact
- **Break**: 1x1 angle break = major trend change
#### **Multi-Angle Confluence Trading**
```
STRONG BULLISH SIGNAL:
✅ Price above 1x1 angle (45°)
✅ Bouncing off 2x1 angle (support)
✅ Volume increasing
✅ Multiple angles pointing up
ENTRY: Buy on 2x1 angle bounce
STOP: Below 1x2 angle
TARGET: Next angle resistance
```
### Strategy 3: Projection Trading (Forming Squares)
#### **Anticipation Strategy**
```
SETUP IDENTIFICATION:
👀 Info table shows "⚡ FORMING" status
👀 Progress bar > 70%
👀 P/T Ratio approaching 1.00
👀 Price approaching projected completion zone
ENTRY PREPARATION:
- Set alerts for projected completion levels
- Prepare for reversal at projection zone
- Watch for volume confirmation
- Monitor momentum indicators
```
## 📈 Step-by-Step Trading Process
### Phase 1: Market Analysis (Before Trading)
1. **Check Market Trend**: Look at info table trend indicator
2. **Identify Active Pivots**: Note last significant high/low
3. **Assess Volatility**: High volatility = larger stops needed
4. **Review Completed Squares**: These become support/resistance zones
### Phase 2: Trade Setup Identification
1. **Monitor Forming Squares**: Watch progress bars in info table
2. **Check Gann Angles**: Are they supporting or opposing your bias?
3. **Confirm with Volume**: Look for volume spikes at key levels
4. **Set Alerts**: Use TradingView alerts for completion zones
### Phase 3: Trade Execution
1. **Wait for Confirmation**: Don't trade on projections alone
2. **Enter on Breakout**: Price breaking square boundaries
3. **Set Stops Immediately**: Use square edges as stop levels
4. **Scale Out**: Take partial profits at angle intersections
### Phase 4: Trade Management
1. **Trail Stops**: Use Gann angles as trailing stop levels
2. **Monitor Progress**: Watch for new square formations
3. **Exit Signals**: New squares in opposite direction
4. **Review Performance**: Analyze win/loss against square accuracy
---
## 🎯 High-Probability Setups
### Setup A: Double Confirmation
```
BULLISH EXAMPLE:
1. Bullish square completes at major support
2. Price bounces off 1x1 Gann angle
3. Volume surge confirms reversal
4. RSI divergence present
PROBABILITY: 75-80%
RISK/REWARD: 1:3 typical
```
### Setup B: Angle Breakout
```
BEARISH EXAMPLE:
1. Price breaks below 1x1 angle
2. Bearish square forming below break
3. Multiple angles now resistance
4. Volume confirms breakdown
PROBABILITY: 70-75%
RISK/REWARD: 1:2.5 typical
```
### Setup C: Time Cycle Convergence
```
REVERSAL EXAMPLE:
1. Square completion at time cycle high/low
2. Multiple Gann angles converging
3. Momentum divergence
4. Volume climax
PROBABILITY: 80-85%
RISK/REWARD: 1:4 possible
```
---
## ⚠️ Risk Management Rules
### Position Sizing
- **Conservative**: 1-2% risk per trade
- **Aggressive**: 2-3% risk per trade
- **Never exceed**: 5% total portfolio risk
### Stop Loss Guidelines
- **Completed Squares**: Opposite edge + 1 ATR
- **Gann Angles**: Below/above angle + 0.5 ATR
- **Projections**: 50% of square height
### Take Profit Targets
- **Target 1**: Next Gann angle (1:1 R/R)
- **Target 2**: Next completed square (1:2 R/R)
- **Target 3**: Major S/R level (1:3 R/R)
---
## 📊 Reading the Info Table for Trading
### Market Trend Section
```
📈 BULLISH → Look for long setups
📉 BEARISH → Look for short setups
➡️ NEUTRAL → Wait for direction
```
### Volatility Status
```
🔥 HIGH → Larger stops needed
⚡ ELEVATED → Normal stops
😴 LOW → Tighter stops possible
📊 NORMAL → Standard approach
```
### Square Progress Monitoring
```
✅ COMPLETED → Ready to trade
⚡ FORMING → Prepare for setup
🔥 ACTIVE → Monitor closely
⏳ WAITING → No immediate action
```
### P/T Ratio Interpretation
```
🎯 Perfect (0.8-1.2) → High probability setup
⚡ Good (0.6-1.4) → Moderate probability
⚠️ Watch (outside range) → Lower probability
```
---
## 🔄 Common Trading Scenarios
### Scenario 1: Trend Continuation
**Setup**: Price pulls back to completed square in uptrend
**Action**: Buy at square support with 1x1 angle confirmation
**Management**: Trail stop below each new square formation
### Scenario 2: Reversal Trading
**Setup**: Multiple squares complete at major S/R
**Action**: Fade the move when price rejects square edges
**Management**: Quick profits, tight stops
### Scenario 3: Breakout Trading
**Setup**: Price consolidates in square, then breaks out
**Action**: Trade breakout direction with volume confirmation
**Management**: Use opposite square edge as stop
---
## 📱 Alert Setup Recommendations
### Critical Alerts
1. **Square Completion**: "Gann Square Completed - Check for reversal"
2. **1x1 Angle Break**: "Master angle broken - Trend change possible"
3. **Projection Reached**: "Forming square at 90% - Prepare for reversal"
4. **Multi-Angle Touch**: "Price at angle confluence - High probability setup"
---
Remember: **Gann analysis is both art and science**. The indicator provides the mathematical framework, but successful trading requires patience, discipline, and continuous learning. Start with small positions while you master the methodology!
Rainbow Price Chart This indicator is a technical and on-chain analysis tool for Bitcoin, designed to help investors better understand the different phases of the market cycle and underlying sentiment. It directly overlays on the price chart (overlay=true).
Indicator Name: "Rainbow Price Chart & V/T Ratio Signals"
General Purpose:
It combines two popular methodologies for visualizing Bitcoin's value and sentiment: the classic "Rainbow Price Chart" and signals derived from the "Value per Transaction Ratio" (V/T Ratio) based on blockchain data. It is ideal for long-term investors looking for strategic entry/exit points.
Main Components:
Rainbow Price Chart:
Concept: Divides Bitcoin's price range into different market "sentiment zones" (e.g., "Bubble Zone," "FOMO Zone," "HODL Zone," "Accumulation Zone," "Buy Zone," "Fire Sale Zone") using colored bands. These bands are calculated as ascending and descending multiples of a base Exponential Moving Average (EMA), configurable by default to 200 periods.
Visualization: The zones are represented with transparent color fills on the price chart. A detailed legend in the top right corner of the chart explains the meaning of each color and sentiment zone.
Important Note: This type of chart is designed to be viewed and analyzed correctly on a logarithmic price scale. The indicator includes a visual reminder to activate this scale.
Value per Transaction (V/T) Ratio Signals:
Concept: Measures the average value per transaction on the Bitcoin blockchain by dividing the total transacted volume in USD by the number of transactions. This ratio is smoothed with an Exponential Moving Average (by default, 7 periods) and is framed within a dynamic Linear Regression Channel (LRC) based on standard deviation.
Signal Generation: Based on the position of the smoothed V/T Ratio within this LRC channel, the indicator generates signals directly on the price chart, such as:
"BOTTOM": Low price, V/T Ratio in the lower band of the LRC.
"SEMI-LOW" / "SEMI-HIGH": Intermediate phases within the channel.
"ATH" (All-Time High): Potentially overvalued price, V/T Ratio in the upper band of the LRC.
On-Chain Data: The indicator requests external daily on-chain data for total transacted volume (TVTVR) and number of transactions (NTRAN) from the Bitcoin blockchain.
Diagnostic Panes: Includes plots of the raw on-chain data (volume and number of transactions) in a separate pane, which are useful for debugging or verifying the data source. The lines for the V/T Ratio itself and its LRC channel are not plotted by default but can be activated in the code for deeper analysis.
Ideal for:
Bitcoin investors and "hodlers" who desire a visual tool that combines price-based market cycle context with fundamental signals derived from on-chain activity, to help identify key moments for accumulation or potential distribution.
Considerations:
Relies on the availability of external on-chain data (QUANDL:BCHAIN) within TradingView.
Functions best on a daily timeframe.






















