SMA Trend Spectrum [InvestorUnknown]The SMA Trend Spectrum indicator is designed to visually represent market trends and momentum by using a series of Simple Moving Averages (SMAs) to create a color-coded spectrum or heatmap. This tool helps traders identify the strength and direction of market trends across various time frames within one chart.
Functionality:
SMA Calculation: The indicator calculates multiple SMAs starting from a user-defined base period (Starting Period) and increasing by a specified increment (Period Increment). This creates a sequence of moving averages that span from short-term to long-term perspectives.
Trend Analysis: Each segment of the spectrum compares three SMAs to determine the market's trend strength: Bullish (color-coded green) when the current price is above all three SMAs. Neutral (color-coded purple) when the price is above some but not all SMAs. Bearish (color-coded red) when the price is below all three SMAs.
f_col(x1, x2, x3) =>
min = ta.sma(src, x1)
mid = ta.sma(src, x2)
max = ta.sma(src, x3)
c = src > min and src > mid and src > max ? bull : src > min or src > mid or src > max ? ncol : bear
Heatmap Visualization: The indicator plots these trends as a vertical spectrum where each row represents a different set of SMAs, forming a heatmap-like display. The color of each segment in the heatmap directly correlates with market conditions, providing an intuitive view of market sentiment.
Signal Smoothing: Users can choose to smooth the trend signal using either a Simple Moving Average (SMA), Exponential Moving Average (EMA), or leave it as raw data (Signal Smoothing). The length of smoothing can be adjusted (Smoothing Length). The signal is displayed in a scaled way to automatically adjust for the best visual experience, ensuring that the trend is clear and easily interpretable across different chart scales and time frames
Additional Features:
Plot Signal: Optionally plots a line representing the average trend across all calculated SMAs. This line helps in identifying the overall market direction based on the spectrum data.
Bar Coloring: Bars on the chart can be colored according to the average trend strength, providing a quick visual cue of market conditions.
Usage:
Trend Identification: Use the heatmap to quickly assess if the market is trending strongly in one direction or if it's in a consolidation phase.
Entry/Exit Points: Look for shifts in color patterns to anticipate potential trend changes or confirmations for entry or exit points.
Momentum Analysis: The gradient from bearish to bullish across the spectrum can be used to gauge momentum and potentially forecast future price movements.
Notes:
The effectiveness of this indicator can vary based on market conditions, asset volatility, and the chosen SMA periods and increments.
It's advisable to combine this tool with other technical indicators or fundamental analysis for more robust trading decisions.
Disclaimer: Past performance does not guarantee future results. Always use this indicator as part of a broader trading strategy.
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CandlestickThe indicator generates a table that offers a clear visualization of the historical return percentages for each candlestick pattern strategy over a specified time period. This table serves as an organized resource, serving as a launching point for in-depth research into candle formations. It may help to rectify any misconceptions surrounding candlestick patterns, refine trading approaches, and it could be foundation to make informed decisions in trading journey.
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Trend Retracement IndicatorTrend Retracement Indicator
Cet indicateur identifie les opportunités d'achat en trois étapes :
Détection de la tendance : Utilise une moyenne mobile simple (SMA) pour déterminer si le marché est en tendance haussière.
Zone de retracement : Calcule une zone discount basée sur les plus hauts et les plus bas des 100 dernières périodes (paramétrable) et un niveau de retracement ajustable (par défaut à 50 %).
Confirmation du retournement : Vérifie un retournement dans la zone de retracement avec un volume supérieur à 1.5 fois la moyenne sur les 10 dernières périodes.
Affichage sur le graphique
Zones clés :
Plus haut : Ligne rouge.
Plus bas : Ligne verte.
Zone de retracement : Ligne bleue.
Signal d'achat : Flèche orientée vers le haut sous les bougies.
Personnalisation
Les paramètres sont ajustables pour s'adapter à votre stratégie :
Période pour les calculs des plus hauts et bas.
Niveau de retracement (exprimé en pourcentage).
Seuil de volume pour confirmer un retournement.
Cet indicateur est idéal pour les traders utilisant des zones de discount/premium et souhaitant intégrer le volume comme critère de validation.
PARAMETRE IDEAL
Période 120
Retracement 0,5
Seuil de volume 1.8
Edufx AMD~Accumulation, Manipulation, DistributionEdufx AMD Indicator
This indicator visualizes the market cycles using distinct phases: Accumulation, Manipulation, Distribution, and Reversal. It is designed to assist traders in identifying potential entry points and understanding price behavior during these phases.
Key Features:
1. Phases and Logic:
-Accumulation Phase: Highlights the price range where market accumulation occurs.
-Manipulation Phase:
- If the price sweeps below the accumulation low, it signals a potential "Buy Zone."
- If the price sweeps above the accumulation high, it signals a potential "Sell Zone."
-Distribution Phase: Highlights where price is expected to expand and establish trends.
-Reversal Phase: Marks areas where the price may either continue or reverse.
2. Weekly and Daily Cycles:
- Toggle the visibility of Weekly Cycles and Daily Cycles independently through the settings.
- These cycles are predefined with precise timings for each phase, based on your selected on UTC-5 timezone.
3. Customizable Appearance:
- Adjust the colors for each phase directly in the settings to suit your preferences.
- The indicator uses semi-transparent boxes to represent the phases, allowing easy visualization without obstructing the chart.
4. Static Boxes:
- Boxes representing the phases are drawn only once for the visible chart range and do not dynamically delete, ensuring important consistent reference points.
Global Liquidity Index with OffsetThe Global Liquidity Index has been the best predictor of the direction of Bitcoin especially after BlackRock entered the space. This model was first introduced by Raoul Pal and GMI.
CandlestickThe indicator generates a table that offers a clear visualization of the historical return percentages for each candlestick pattern strategy over a specified time period. This table serves as an organized resource, serving as a launching point for in-depth research into candle formations. It may help to rectify any misconceptions surrounding candlestick patterns, refine trading approaches, and it could be foundation to make informed decisions in trading journey.
Machine Learning: Lorentzian Classification ThomasMachine Learning: Lorentzian Classification Thomas
Bitcoin Logarithmic Regression BandsOverview
This indicator displays logarithmic regression bands for Bitcoin. Logarithmic regression is a statistical method used to model data where growth slows down over time. I initially created these bands in 2019 using a spreadsheet, and later coded them in TradingView in 2021. Over time, the bands proved effective at capturing Bitcoin's bull market peaks and bear market lows. In 2024, I decided to share this indicator because I believe these logarithmic regression bands offer the best fit for the Bitcoin chart.
How It Works
The logarithmic regression lines are fitted to the Bitcoin (BTCUSD) chart using two key factors: the 'a' factor (slope) and the 'b' factor (intercept). The two lines in the upper and lower bands share the same 'a' factor, but I adjust the 'b' factor by 0.2 to more accurately capture the bull market peaks and bear market lows. The formula for logaritmic regression is 10^((a * ln) - b).
How to Use the Logarithmic Regression Bands
1. Lower Band (Support Band):
The two lines in the lower band create a potential support area for Bitcoin’s price. Historically, Bitcoin’s price has always found its lows within this band during past market cycles. When the price is within the lower band, it suggests that Bitcoin is undervalued and could be set for a rebound.
2. Upper Band (Resistance Band):
The two lines in the upper band create a potential resistance area for Bitcoin’s price. Bitcoin has consistently reached its highs in this band during previous market cycles. If the price is within the upper band, it indicates that Bitcoin is overvalued, and a potential price correction may be imminent.
Use Cases
- Price Bottoming:
Bitcoin tends to bottom out at the lower band before entering a prolonged bull market or a period of sideways movement.
- Price Topping:
In reverse, Bitcoin tends to top out at the upper band before entering a bear market phase.
- Profitable Strategy:
Buying at the lower band and selling at the upper band can be a profitable trading strategy, as these bands often indicate key price levels for Bitcoin’s market cycles.
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CandlestickThe “All Candlestick Patterns on Backtest” indicator generates a table that offers a clear visualization of the historical return percentages for each candlestick pattern strategy over a specified time period. This table serves as an organized resource, serving as a launching point for in-depth research into candle formations. It may help to rectify any misconceptions surrounding candlestick patterns, refine trading approaches, and it could be foundation to make informed decisions in trading journey.
MACD,RSI,EM9,WMA45 (Scale -100 đến 100)include: MACD,RSI,EM9,WMA45.
All indicators are fixed from -100 to 100.
Bitcoin Reversal PredictorOverview
This indicator displays two lines that, when they cross, signal a potential reversal in Bitcoin's price trend. Historically, the high or low of a bull market cycle often occurs near the moment these lines intersect. The lines consist of an Exponential Moving Average (EMA) and a logarithmic regression line fitted to all of Bitcoin's historical data.
Inspiration
The inspiration for this indicator came from the PI Cycle Top indicator, which has accurately predicted past bull market peaks. However, I believe the PI Cycle Top indicator may not be as effective in the future. In that indicator, two lines cross to mark the top, but the extent of the cross has been diminishing over time. This was especially noticeable in the 2021 cycle, where the lines barely crossed. Because of this, I created a new indicator that I think will continue to provide reliable reversal signals in the future.
How It Works
The logarithmic regression line is fitted to the Bitcoin (BTCUSD) chart using two key factors: the 'a' factor (slope) and the 'b' factor (intercept). This results in a steadily decreasing line. The EMA oscillates above and below this regression line. Each time the two lines cross, a vertical colored bar appears, indicating that Bitcoin's price momentum is likely to reverse.
Use Cases
- Price Bottoming:
Bitcoin often bottoms out when the EMA crosses below the logarithmic regression line.
- Price Topping:
In contrast, Bitcoin often peaks when the EMA crosses above the logarithmic regression line.
- Profitable Strategy:
Trading at the crossovers of these lines can be a profitable strategy, as these moments often signal significant price reversals.
RRS Separator 3This Pine Script indicator, titled "RRS Separator 3", is designed to draw vertical lines on a chart to separate different time frames. Here's a breakdown of its main features:
1.Time Frame Separators: The script draws vertical lines to mark the beginning of 5-minute, 15-minute, 1-hour, and 4-hour intervals on intraday charts.
2.Customizable Appearance: Users can customize the appearance of each time frame's separator lines, including:
Visibility (show/hide)
Color
Line style (solid, dashed, or dotted)
Line width
3.Dynamic Line Drawing: The script calculates the positions for future time frame separators and draws them in advance, extending beyond the current bar.
4.Compatibility: It's designed to work on various intraday time frames, adjusting its behavior based on the chart's current time frame.
5.Efficient Line Management: The script uses arrays to manage the drawn lines, clearing old lines and redrawing them on each update to ensure accuracy and prevent clutter.
6.Time Calculations: It performs various time-related calculations to determine the correct positioning of lines for each time frame.
7.Conditional Drawing: Lines are only drawn if they meet certain conditions (e.g., the chart's time frame is smaller than the separator's time frame).
8.Performance Considerations: The script includes max_bars_back and max_lines_count parameters to manage memory usage and performance.
Cyber dataRSI on 4 TF
MA of RSI (14) below or above current RSI value
SuperTrend conditions
HMA60 Below or above price
Current volatility 14-peroid
Make your own customization with colors
Overnight Gap AnalysisCalculation:
Overnight High: The highest price during the overnight session.
Overnight Low: The lowest price during the overnight session.
Overnight Range: The difference between the overnight high and low.
Example Strategy:
If the market opens near the overnight high, it could suggest a continuation of the overnight trend (bullish).
If the market opens near the overnight low, it could signal a reversal or bearish sentiment.
Time Filter: 8:00 AM to 12:30 PM EST8 am to 12:30 PM EST Time Filtering Script for Bar Replay or Backtesting
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