My TMwP## Indicator Description
This indicator is an enhanced version of the Trend Magic indicator, incorporating a clearly defined pivot line to visually indicate potential trend reversals.
The original Trend Magic indicator leverages two key components:
- **Commodity Channel Index (CCI)**: A momentum-based oscillator developed by Donald Lambert in 1980, which measures the current price relative to its average over a specified period.
- **Average True Range (ATR)**: A volatility indicator that captures market volatility by measuring price movement ranges.
### How the Indicator Works
The Commodity Channel Index (CCI) calculation involves three primary steps:
1. **Typical Price Calculation**
The typical price is the average of each period's high, low, and close prices:
$$
\text{Typical Price} = \frac{\text{High} + \text{Low} + \text{Close}}{3}
$$
*(In this indicator, the built-in variable `hlc3` is used.)*
2. **Simple Moving Average (SMA) of Typical Price**
The indicator calculates an SMA of the typical price over a user-defined period.
3. **CCI Calculation**
Finally, the CCI is computed as the difference between the typical price and its SMA, divided by a multiple of the mean deviation.
### Pivot Line and Trend Reversal
The pivot line added to this enhanced Trend Magic indicator clearly marks the price level at which a trend reversal would occur. Specifically, when the asset's price crosses and closes beyond the SMA of the typical price, a pivot occurs—signaling a potential change in market direction. This pivot line thus provides traders with an intuitive visual reference for identifying critical trend reversal points.
### Customizable Parameters
Users can easily customize key parameters through input settings:
- **CCI Period**: Adjusts sensitivity to momentum shifts.
- **ATR Multiplier**: Modifies volatility responsiveness.
- **ATR Period**: Defines the lookback period for volatility calculations.
By fine-tuning these parameters, you can adapt the indicator to their preferred trading style and market conditions.
Indikatoren und Strategien
Landry Proper OrderLandry Proper Order Indicator
The Landry Proper Order indicator visualizes the positioning of three moving averages (MAs) to indicate the current trend. The indicator is highly customizable, allowing users to select different types of MAs (Simple Moving Average or Exponential Moving Average) and adjust their lengths. The indicator works on the principle that when the MAs are in a specific order, it indicates a strong trend in the market.
Key Features:
Customizable Moving Averages: Users can select the type of moving averages (SMA or EMA) and set custom lengths for each of the three MAs:
MA1 (default: 10)
MA2 (default: 20)
MA3 (default: 30)
Landry Proper Order Conditions:
Uptrend (Landry Up): When the MAs are ordered in an ascending manner: MA1 > MA2 > MA3.
Downtrend (Landry Down): When the MAs are ordered in a descending manner: MA3 > MA2 > MA1.
Visual Representation:
Background Color: The background color changes based on the trend:
Green when the MAs are in an uptrend.
Red when the MAs are in a downtrend.
Yellow when there is no clear order.
MA Colors: The moving averages are color-coded based on the trend:
Fuchsia for MA1 (when in trend).
Lime for MA2 (when in trend).
Red for MA3 (when in trend).
Gray for neutral or no trend.
Cumulative Trend Counters:
Displays the cumulative number of days the trend has been active in either an uptrend or downtrend.
Shows the percentage change from the start price in either trend.
Screener Functionality:
Alerts for the new formation of uptrends or downtrends, signaling a shift in the market's structure.
Users can receive an alert when the "Landry Proper Order" is active in either direction.
Alerts:
Alerts for the detection of a new "Landry Proper Order Up" or "Landry Proper Order Down" condition.
Alerts when the "Landry Proper Order" is active in either an up or downtrend.
PVSRA Candles Auto Override with 5 EMAs - Semper v1PVSRA Candles, 5 EMAs(10, 20, 50, 200, 800), LOD. HOD< LOW, HOW and Asia 50%
Previous Day LevelsThis indicator plots the previous day's high, low, and 50% levels, providing a framework for analyzing price behavior relative to these key levels.
Full Description:
The Previous Day Levels indicator is a tool designed to help traders analyze price action based on key levels from the previous trading session. By plotting the high, low, and mid-point (50%) of the prior day’s range, traders can assess potential market bias and directional tendencies for the current trading day.
Key Features:
Plots the previous day’s high (100%), low (0%), and intermediate levels (25%, 50%, 75%).
Allows users to customize line visibility, color, style, and width.
Helps traders identify potential support and resistance zones.
Provides a bias framework for determining whether price is more likely to target the previous high or low based on behavior around the 50% level.
Use Case:
This indicator is particularly useful for intraday and short-term traders who incorporate price action into their strategy.
If price trades above the 50% level and holds, it suggests a bullish bias, indicating that price may aim for the previous day's high.
If price trades below the 50% level and holds, it suggests a bearish bias, indicating that price may aim for the previous day's low.
The high and low levels can act as key support and resistance zones, where price may react or reverse.
How to Use:
Apply the indicator to your chart.
Observe how price interacts with the 50% level.
Use price behavior around these levels to establish a directional bias.
Adjust the line styles and colors to match your personal preference.
Disclaimer:
This indicator is a tool for market analysis and does not provide financial advice. Always perform your own analysis and risk management when trading.
Fibonacci-Only Strategy V2Fibonacci-Only Strategy V2
This strategy combines Fibonacci retracement levels with pattern recognition and statistical confirmation to identify high-probability trading opportunities across multiple timeframes.
Core Strategy Components:
Fibonacci Levels: Uses key Fibonacci retracement levels (19% and 82.56%) to identify potential reversal zones
Pattern Recognition: Analyzes recent price patterns to find similar historical formations
Statistical Confirmation: Incorporates statistical analysis to validate entry signals
Risk Management: Includes customizable stop loss (fixed or ATR-based) and trailing stop features
Entry Signals:
Long entries occur when price touches or breaks the 19% Fibonacci level with bullish confirmation
Short entries require Fibonacci level interaction, bearish confirmation, and statistical validation
All signals are visually displayed with color-coded markers and dashboard
Trading Method:
When a triangle signal appears, open a position on the next candle
Alternatively, after seeing a signal on a higher timeframe, you can switch to a lower timeframe to find a more precise entry point
Entry signals are clearly marked with visual indicators for easy identification
Risk Management Features:
Adjustable stop loss (percentage-based or ATR-based)
Optional trailing stops for protecting profits
Multiple take-profit levels for strategic position exit
Customization Options:
Timeframe selection (1m to Daily)
Pattern length and similarity threshold adjustment
Statistical period and weight configuration
Risk parameters including stop loss and trailing stop settings
This strategy is particularly well-suited for cryptocurrency markets due to their tendency to respect Fibonacci levels and technical patterns. Crypto's volatility is effectively managed through the customizable stop-loss and trailing-stop mechanisms, making it an ideal tool for traders in digital asset markets.
For optimal performance, this strategy works best on higher timeframes (30m, 1h and above) and is not recommended for low timeframe scalping. The Fibonacci pattern recognition requires sufficient price movement to generate reliable signals, which is more consistently available in medium to higher timeframes.
Users should avoid trading during sideways market conditions, as the strategy performs best during trending markets with clear directional movement. The statistical confirmation component helps filter out some sideways market signals, but it's recommended to manually avoid ranging markets for best results.
ORB MOTORB MOT - Opening Range Breakout Indicator (Educational purpos only)
The ORB MOT (Opening Range Breakout Multi-Option Tool) is a powerful TradingView indicator designed to help traders identify and capitalize on market breakouts based on the opening range. This tool provides extensive customization options, allowing traders to fine-tune their breakout strategies according to different timeframes and trading sessions.
Key Features:
Configurable Opening Range: Traders can define the opening range period (1, 2, 3, 5, 15, or 30 minutes) to suit their trading strategy.
Session-Based Analysis: The indicator automatically adjusts for market session times and provides an optional international override for different time zones.
Visual Representation: ORB levels are displayed with clear labels, shaded regions, and customizable colors for easy identification.
Breakout and Retest Detection: Identifies breakout points and potential retests, helping traders make informed decisions.
Multiple Price Targets: Calculates and plots key levels such as 50%, 100%, 150%, and 200% price targets for potential trade exits.
Fibonacci Extensions: Optional Fibonacci targets (21.2%, 61.8%) can be displayed for additional market confluence.
Alerts and Notifications: Provides alerts for breakout conditions, ensuring traders don’t miss critical movements.
How It Works:
The indicator calculates the high and low of the selected opening range.
Breakout points are identified when price crosses above or below the range.
The indicator plots multiple price targets based on the range's size.
Traders can visualize past ORB levels and retests for better trend analysis.
Alerts notify users of significant breakout events.
Who Can Use This Indicator?
Scalpers & Day Traders: Perfect for identifying quick breakout opportunities.
Swing Traders: Helps determine key levels for potential reversals or trend continuations.
Institutional & Retail Traders: Useful for analyzing market structure and setting price targets.
The ORB MOT indicator is a must-have tool for traders looking to refine their breakout strategy with precision and ease. Whether you're a beginner or an experienced trader, this indicator provides valuable insights into market movements and trading opportunities.
Moving Average Convergence DivergenceThis script creates a MACD indicator that not only plots the MACD histogram but also highlights when the histogram switches from rising to falling (or vice versa), which can be useful for identifying potential reversals. The indicator also includes customizable options such as the lengths of the fast and slow EMAs, the type of moving averages used, and the Signal line smoothing period. Alerts are triggered when the MACD histogram changes direction, and a zero line is plotted for better visual reference.
MARKET TREND//@version=5
indicator("MARKET TREND",overlay = false)
// Position and size inputs
meter_pos = input.string("right", "Trend Meter Position", options= ) // New meter position input
pos_y = input.string("bottom", "Vertical Position", options= )
table_pos = input.string("right", "Table Position", options= )
label_size = input.string("normal", "Label Size", options= )
// Moving Average inputs
fast_length = input.int(9, "Fast MA Length")
med_length = input.int(21, "Medium MA Length")
slow_length = input.int(50, "Slow MA Length")
ma_type = input.string("EMA", "MA Type", options= )
offset = 2
radius = 10
y_axis = 0.00
y_scale = 100
var float pi = 2 * math.asin(1)
// Calculate Moving Averages based on selected type
f_get_ma(src, length, ma_type) =>
float result = 0.0
if ma_type == "SMA"
result := ta.sma(src, length)
else if ma_type == "EMA"
result := ta.ema(src, length)
else if ma_type == "HMA"
result := ta.hma(src, length)
result
fast_ma = f_get_ma(close, fast_length, ma_type)
med_ma = f_get_ma(close, med_length, ma_type)
slow_ma = f_get_ma(close, slow_length, ma_type)
// Calculate x-axis positions based on meter position
bar_width = time - time
chart_right_edge = time + bar_width * 5
chart_left_edge = time - bar_width * 25
x_axis = array.new_int(radius * 2, 0)
if meter_pos == "right"
for i = offset to offset + 2 * radius - 1 by 1
array.set(x_axis, i - offset, chart_right_edge - bar_width * (2 * radius - i))
else
for i = offset to offset + 2 * radius - 1 by 1
array.set(x_axis, i - offset, chart_left_edge + bar_width * i)
one_bar = int(ta.change(time))
right_side = array.get(x_axis, 2 * radius - 1)
left_side = array.get(x_axis, 0)
x_center = array.get(x_axis, radius - 1)
f_draw_sector(_sector_num, _total_sectors, _line_limit, _radius, _y_axis, _y_scale, _line_color, _line_width) =>
_segments_per_sector = math.floor(_line_limit / _total_sectors)
_total_segments = _segments_per_sector * _total_sectors
_radians_per_segment = pi / _total_segments
_radians_per_sector = pi / _total_sectors
_start_of_sector = _radians_per_sector * (_sector_num - 1)
for _i = 0 to _segments_per_sector - 1 by 1
_segment_line = line.new(x1=array.get(x_axis, int(math.round(math.cos(_start_of_sector + _radians_per_segment * _i) * (_radius - 1) + radius - 1))), y1=_y_axis + math.sin(_start_of_sector + _radians_per_segment * _i) * _y_scale, x2=array.get(x_axis, int(math.round(math.cos(_start_of_sector + _radians_per_segment * (_i + 1)) * (_radius - 1) + radius - 1))), y2=_y_axis + math.sin(_start_of_sector + _radians_per_segment * (_i + 1)) * _y_scale, xloc=xloc.bar_time, color=_line_color, width=_line_width)
line.delete(_segment_line )
f_draw_base_line(_left, _right, _y_axis, _color, _width) =>
_base_line = line.new(x1=_left, y1=_y_axis, x2=_right, y2=_y_axis, xloc=xloc.bar_time, color=_color, width=_width)
line.delete(_base_line )
f_draw_needle(_val, _x_center, _radius, _y_axis, _y_scale, _color, _width) =>
_needle = line.new(x1=array.get(x_axis, int(math.round(math.cos(pi / 100 * _val) * (_radius - 1) + radius - 1))), y1=_y_axis + math.sin(pi / 100 * _val) * _y_scale, x2=_x_center, y2=_y_axis, xloc=xloc.bar_time, color=_color, width=_width)
line.delete(_needle )
f_draw_tick(_num, _divisions, _radius_perc, _x_center, _radius, _y_axis, _y_scale, _color, _width) =>
_pos = pi / _divisions * _num
_tick = line.new(x1=array.get(x_axis, int(math.round(math.cos(_pos) * (_radius - 1) + radius - 1))), y1=_y_axis + math.sin(_pos) * _y_scale, x2=array.get(x_axis, int(math.round(math.cos(_pos) * (_radius - 1) * (1 - _radius_perc / 100) + _radius - 1))), y2=_y_axis + math.sin(_pos) * _y_scale * (1 - _radius_perc / 100), xloc=xloc.bar_time, color=_color, width=_width)
line.delete(_tick )
f_draw_sector_label(_num, _divisions, _radius, _y_axis, _y_scale, _color, _txtcolor, _text) =>
_pos = pi / _divisions * _num
_x_coord = array.get(x_axis, int(math.round(math.cos(_pos) * (_radius - 1)) + _radius - 1))
_y_coord = _y_axis + math.sin(_pos) * _y_scale
_sector_label = label.new(x=_x_coord, y=_y_coord, xloc=xloc.bar_time, color=_color, textcolor=_txtcolor, style=_pos <= pi / 6 ? label.style_label_right : _pos < pi / 6 * 2 ? label.style_label_lower_right : _pos <= pi / 6 * 4 ? label.style_label_down : _pos <= pi / 6 * 5 ? label.style_label_lower_left : label.style_label_left, text=_text, size=label_size)
label.delete(_sector_label )
f_draw_title_label(_radius_perc, _x_center, _y_axis, _y_scale, _color, _txtcolor, _text, _pos_y, _size) =>
_y = _y_axis
_style = label.style_label_center
if _pos_y == "top"
_y := _y_axis + _y_scale * 1.2
_style := label.style_label_down
else
_y := _y_axis - _radius_perc / 100 * _y_scale
_style := label.style_label_up
_title_label = label.new(x=_x_center, y=_y, xloc=xloc.bar_time, color=_color, textcolor=_txtcolor, style=_style, text=_text, size=_size)
label.delete(_title_label )
// Draw base components
f_draw_base_line(left_side, right_side, y_axis, color.white, 5)
// Plot sectors with modified colors for MA trends
f_draw_sector(1, 5, 20, radius, y_axis, y_scale, color.red, 10)
f_draw_sector(1, 5, 20, radius, y_axis, y_scale, color.white, 1)
f_draw_sector(2, 5, 20, radius, y_axis, y_scale, color.orange, 10)
f_draw_sector(2, 5, 20, radius, y_axis, y_scale, color.white, 1)
f_draw_sector(3, 5, 20, radius, y_axis, y_scale, color.yellow, 10)
f_draw_sector(3, 5, 20, radius, y_axis, y_scale, color.white, 1)
f_draw_sector(4, 5, 20, radius, y_axis, y_scale, color.lime, 10)
f_draw_sector(4, 5, 20, radius, y_axis, y_scale, color.white, 1)
f_draw_sector(5, 5, 20, radius, y_axis, y_scale, color.green, 10)
f_draw_sector(5, 5, 20, radius, y_axis, y_scale, color.white, 1)
// Draw ticks
f_draw_tick(1, 5, 8, x_center, radius, y_axis, y_scale, color.white, 5)
f_draw_tick(2, 5, 8, x_center, radius, y_axis, y_scale, color.white, 5)
f_draw_tick(3, 5, 8, x_center, radius, y_axis, y_scale, color.white, 5)
f_draw_tick(4, 5, 8, x_center, radius, y_axis, y_scale, color.white, 5)
f_draw_tick(1, 10, 6, x_center, radius, y_axis, y_scale, color.white, 5)
f_draw_tick(3, 10, 6, x_center, radius, y_axis, y_scale, color.white, 5)
f_draw_tick(5, 10, 6, x_center, radius, y_axis, y_scale, color.white, 5)
f_draw_tick(7, 10, 6, x_center, radius, y_axis, y_scale, color.white, 5)
f_draw_tick(9, 10, 6, x_center, radius, y_axis, y_scale, color.white, 5)
// Draw sector labels with MA-specific terminology
f_draw_sector_label(1, 10, radius, y_axis, y_scale, color.red, color.white, 'Strong Down')
f_draw_sector_label(3, 10, radius, y_axis, y_scale, color.orange, color.black, 'Down')
f_draw_sector_label(5, 10, radius, y_axis, y_scale, color.yellow, color.black, 'Neutral')
f_draw_sector_label(7, 10, radius, y_axis, y_scale, color.lime, color.black, 'Up')
f_draw_sector_label(9, 10, radius, y_axis, y_scale, color.green, color.white, 'Strong Up')
// Calculate MA trend strength (0-100)
ma_trend = 50.0
if fast_ma > med_ma and med_ma > slow_ma
ma_trend := 75 + (math.min(math.abs((fast_ma - slow_ma) / slow_ma * 100), 25))
else if fast_ma < med_ma and med_ma < slow_ma
ma_trend := 25 - (math.min(math.abs((fast_ma - slow_ma) / slow_ma * 100), 25))
else if fast_ma > slow_ma
ma_trend := 60 + (math.min(math.abs((fast_ma - slow_ma) / slow_ma * 100), 15))
else if fast_ma < slow_ma
ma_trend := 40 - (math.min(math.abs((fast_ma - slow_ma) / slow_ma * 100), 15))
// Draw the needle and title
f_draw_needle(ma_trend, x_center, radius, y_axis, y_scale, color.blue, 3)
f_draw_title_label(5, x_center, y_axis, y_scale, color.blue, color.black, ma_type + ' TREND', pos_y, label_size)
Cryptogenik's Inflation-Adjusted Candles v2025Inflation-Adjusted Price Indicator by Cryptogenik
This indicator adjusts price data for inflation, allowing you to visualize how stock/asset prices would look with constant purchasing power. By using Consumer Price Index (CPI) data from FRED, it transforms nominal prices into inflation-adjusted values that reflect real-world purchasing power.
What This Indicator Does
The Inflation-Adjusted Price indicator converts traditional price charts to show what prices would be if the purchasing power of currency remained constant. This is essential for long-term analysis, as it removes the distortion caused by inflation when comparing prices across different time periods.
Key Features
Displays inflation-adjusted price candles alongside original prices
Uses official CPI data from the Federal Reserve (FRED:CPIAUCSL)
Allows easy comparison between nominal and real prices
Helps identify true price movements by filtering out the effects of inflation
Perfect for long-term investors and macroeconomic analysis
How To Use It
Apply the indicator to any chart
Green/red candles show the inflation-adjusted prices
Gray line shows the original unadjusted price
The information label displays the current CPI value
This indicator is particularly valuable for analyzing stocks, commodities, and other assets over periods of 5+ years, where inflation effects become significant. It helps answer the question: "Has this asset truly increased in value, or is the price increase just reflecting inflation?"
Technical Details
The indicator calculates adjusted prices using the formula: (price / CPI) * 100, which effectively shows prices as a percentage of current purchasing power. This approach normalizes all prices to a consistent standard, making historical comparisons more meaningful.
Cryptogenik's Inflation-Adjusted Candles v2025
Global M2 Money Supply w/ Days OffsetYet another iteration of the Global M2 Money Supply indicator. This one is grabbed from Colin Talks Crypto who collected it from various sources. It combines numerous M2 charts into a single unified chart and allows time-shifting it against the base chart. Try it with offset values such as 45 or 72.
My changes: This one should have the correct offset in days regardless of the chart time frame. It's still probably a good idea to hide it with timeframes lower than a day or so.
lucasI designed this indictor to give long/short signals on >30m htf, with entries on lower timeframes <15m. it also gives a bias on market conditions with a highlighted background. green/red/blue to represent a higher likelihood of a trade working in a specific direction. you can set alerts as well! I programmed the functionality with heikin ashi candles, and i highly recommend enabling them. you can tip me on my twitter/X page @100x_leverage (:
Opening Lines (M15, H1 & H4) with Wickless Candle DetectorTailored for day traders, this technical analysis indicator serves as a multi-timeframe opening price visualization tool, displaying real-time and historical opening price levels across three distinct time intervals to enhance pattern identification and strategic decision-making. Additionally, the tool incorporates a ‘Wickless Candle Detector’ feature, which annotates candles that open without upper or lower wicks. Empirical observations suggest these wickless candles often act as future price magnets, particularly in index futures such as the Nasdaq and S&P500, making them critical reference points for market analysis.
Key Features:
1) Multi-Timeframe Opening Price Visualization:
◦ Plots horizontal reference lines for opening prices across:
▪ 15-minute (M15)
▪ 1-hour (H1)
▪ 4-hour (H4) timeframes
◦ Lines dynamically extend throughout their respective periods or can be configured to a fixed bar offset
2) Wickless Candle Detection System:
◦ Automatically marks wickless candles with a discrete symbol at their opening price level
◦ Symbols are removed upon either:
▪ Price breaching the opening level by ≥1 tick
▪ A 24-hour expiration period (whichever occurs first)
3) Customization and Flexibility:
◦ Toggle visibility for individual timeframes, historical opening lines, and the Wickless Candle Detector
◦ Full customization of visual elements (colors, line styles, symbols) to align with user preferences or trading platform themes
Clustering & Divergences (RSI-Stoch-CCI) [Sam SDF-Solutions]The Clustering & Divergences (RSI-Stoch-CCI) indicator is a comprehensive technical analysis tool that consolidates three popular oscillators—Relative Strength Index (RSI), Stochastic, and Commodity Channel Index (CCI)—into one unified metric called the Score. This Score offers traders an aggregated view of market conditions, allowing them to quickly identify whether the market is oversold, balanced, or overbought.
Functionality:
Oscillator Clustering: The indicator calculates the values of RSI, Stochastic, and CCI using user-defined periods. These oscillator values are then normalized using one of three available methods: MinMax, Z-Score, or Z-Bins.
Score Calculation: Each normalized oscillator value is multiplied by its respective weight (which the user can adjust), and the weighted values are summed to generate an overall Score. This Score serves as a single, interpretable metric representing the combined oscillator behavior.
Market Clustering: The indicator performs clustering on the Score over a configurable window. By dividing the Score range into a set number of clusters (also configurable), the tool visually represents the market’s state. Each cluster is assigned a unique color so that traders can quickly see if the market is trending toward oversold, balanced, or overbought conditions.
Divergence Detection: The script automatically identifies both Regular and Hidden divergences between the price action and the Score. By using pivot detection on both price and Score data, the indicator marks potential reversal signals on the chart with labels and connecting lines. This helps in pinpointing moments when the price and the underlying oscillator dynamics diverge.
Customization Options: Users have full control over the indicator’s behavior. They can adjust:
The periods for each oscillator (RSI, Stochastic, CCI).
The weights applied to each oscillator in the Score calculation.
The normalization method and its manual boundaries.
The number of clusters and whether to invert the cluster order.
Parameters for divergence detection (such as pivot sensitivity and the minimum/maximum bar distance between pivots).
Visual Enhancements:
Depending on the user’s preference, either the Score or the Cluster Index (derived from the clustering process) is plotted on the chart. Additionally, the script changes the color of the price bars based on the identified cluster, providing an at-a-glance visual cue of the current market regime.
Logic & Methodology:
Input Parameters: The script starts by accepting user inputs for clustering settings, oscillator periods, weights, divergence detection, and manual boundary definitions for normalization.
Oscillator Calculation & Normalization: It computes RSI, Stochastic, and CCI values from the price data. These values are then normalized using either the MinMax method (scaling between a lower and upper band) or the Z-Score method (standardizing based on mean and standard deviation), or using Z-Bins for an alternative scaling approach.
Score Computation: Each normalized oscillator is multiplied by its corresponding weight. The sum of these products results in the overall Score that represents the combined oscillator behavior.
Clustering Algorithm: The Score is evaluated over a moving window to determine its minimum and maximum values. Using these values, the script calculates a cluster index that divides the Score into a predefined number of clusters. An option to invert the cluster calculation is provided to adjust the interpretation of the clustering.
Divergence Analysis: The indicator employs pivot detection (using left and right bar parameters) on both the price and the Score. It then compares recent pivot values to detect regular and hidden divergences. When a divergence is found, the script plots labels and optional connecting lines to highlight these key moments on the chart.
Plotting: Finally, based on the user’s selection, the indicator plots either the Score or the Cluster Index. It also overlays manual boundary lines (for the chosen normalization method) and adjusts the bar colors according to the cluster to provide clear visual feedback on market conditions.
_________
By integrating multiple oscillator signals into one cohesive tool, the Clustering & Divergences (RSI-Stoch-CCI) indicator helps traders minimize subjective analysis. Its dynamic clustering and automated divergence detection provide a streamlined method for assessing market conditions and potentially enhancing the accuracy of trading decisions.
For further details on using this indicator, please refer to the guide available at:
Crypto Fear/Greed IndexBINANCE:BTCUSDT BITSTAMP:BTCUSD # Crypto Fear/Greed Index
## English Description
This indicator measures market sentiment in the cryptocurrency market, specifically designed to gauge whether the market is in a state of fear or greed. By analyzing multiple factors across Bitcoin and the broader crypto ecosystem, it provides traders with a comprehensive view of market psychology.
### Key Features:
- Analyzes Bitcoin's relationship with key moving averages (200, 100, 50, and 20-day)
- Incorporates Bitcoin and Ethereum RSI values across different timeframes
- Considers Bitcoin market dominance to evaluate altcoin cycles
- Monitors stablecoin market cap changes as a risk indicator
- Tracks overall crypto market health through total market capitalization
- Factors in Bitcoin volatility and perpetual futures funding rates
- Provides clear visual buy (🔵) and sell (🔴) signals at extreme readings
- Includes customizable lookback period and smoothing parameters
### How to Use:
- Values range from 0 (Extreme Fear) to 100 (Extreme Greed)
- Buy signals (🔵) appear when the index crosses below 20, indicating potential oversold conditions
- Sell signals (🔴) appear when the index crosses above 80, indicating potential overbought conditions
- Utilize the indicator as part of a comprehensive trading strategy, not as a standalone tool
This indicator helps traders identify potential market turning points by measuring when the market sentiment reaches extremes. Remember Warren Buffett's advice: "Be fearful when others are greedy, and greedy when others are fearful."
## 日本語の説明
このインジケーターは、暗号通貨市場の感情を測定し、市場が恐怖状態にあるか強欲状態にあるかを判断するために特別に設計されています。ビットコインと広範な暗号通貨エコシステムにわたる複数の要因を分析することで、トレーダーに市場心理の包括的な見方を提供します。
### 主な特徴：
- ビットコインと主要な移動平均線（200日、100日、50日、20日）の関係を分析
- 異なる時間枠でビットコインとイーサリアムのRSI値を組み込み
- アルトコインのサイクルを評価するためにビットコインの市場支配率を考慮
- リスク指標としてステーブルコインの時価総額の変化を監視
- 総時価総額を通じて暗号通貨市場全体の健全性を追跡
- ビットコインのボラティリティと無期限先物の資金調達率を考慮
- 極端な値における明確な買い（🔵）と売り（🔴）のシグナルを提供
- カスタマイズ可能な振り返り期間と平滑化パラメータを含む
### 使用方法：
- 値は0（極度の恐怖）から100（極度の強欲）の範囲
- インデックスが20を下回ると買いシグナル（🔵）が表示され、潜在的な売られ過ぎの状態を示します
- インデックスが80を上回ると売りシグナル（🔴）が表示され、潜在的な買われ過ぎの状態を示します
- 単独のツールとしてではなく、包括的な取引戦略の一部としてこのインジケーターを活用してください
このインジケーターは、市場感情が極端に達したときに潜在的な市場の転換点を識別するのに役立ちます。ウォーレン・バフェットの助言を覚えておいてください
「他人が強欲なときに恐れ、他人が恐れているときに強欲になれ」
Swing Trading Trend DirectionEasily identify trend direction. Use in conjuction with analysis of other confirmation to make probable trading decisions.
RSI, Volume, MACD, EMA ComboA combination of 4 known indicators to analyze and push signals. Enma Zone Team.
FractalsIntroducing a comprehensive market structure indicator combined with the Volume-Weighted Average Price (VWAP), this tool aims to provide traders with a deeper understanding of price action and trend dynamics. The market structure component helps identify key market phases such as trends, consolidations, and reversals, offering insight into the overall market behavior. By tracking price patterns and fluctuations, it detects when a market shifts from bullish to bearish or vice versa, enabling traders to anticipate potential breakouts or trend continuations.
VWAP, on the other hand, acts as a dynamic benchmark that integrates both price and volume data to provide a more accurate measure of the market's average price over a given period. This powerful tool is widely used for assessing trade execution and identifying significant support and resistance levels. When combined with the market structure indicator, VWAP adds a layer of precision, highlighting the most relevant price levels that can guide traders in their decision-making process.
Together, these indicators allow for more informed trading strategies, whether you're executing short-term trades or planning longer-term positions. The synergy between market structure analysis and VWAP empowers traders to better navigate volatile markets, making it an indispensable tool for those aiming to enhance their trading edge.
Buy/Sell Signals based on EMA CrossI, Kimaya Bavakay have done some backtesting for you, Please use this on DAILY TF ONLY and It shall only be used for EQUITY STOCKS!!!
Enhanced MACD with Volume Strength and EMA SignalsEnhanced MACD with volume strength and ema signals. Cleaner chart look with higher accuracy. and buy sell signals.
Moving Average with Multiplier_AshuMoving Average with Multiplier_Ashu. this script takes into account lower and upper extremes and moving average multipliers
10號-RSIyoutu.be
The "10號-RSI" strategy leverages RSI and Stochastic RSI to determine trend direction and trade opportunities. It avoids overbought/oversold extremes and places trades based on recent price highs and lows. This strategy is suitable for traders looking for trend-based entries while filtering out potential false signals.
