Multi-Band Comparison (Uptrend)Multi-Band Comparison
Overview:
The Multi-Band Comparison indicator is engineered to reveal critical levels of support and resistance in strong uptrends. In a healthy upward market, the price action will adhere closely to the 95th percentile line (the Upper Quantile Band), effectively “riding” it. This indicator combines a modified Bollinger Band (set at one standard deviation), quantile analysis (95% and 5% levels), and power‑law math to display a dynamic picture of market structure—highlighting a “golden channel” and robust support areas.
Key Components & Calculations:
The Golden Channel: Upper Bollinger Band & Upper Std Dev Band of the Upper Quantile
Upper Bollinger Band:
Calculation:
boll_upper=SMA(close,length)+(boll_mult×stdev)
boll_upper=SMA(close,length)+(boll_mult×stdev) Here, the 20-period SMA is used along with one standard deviation of the close, where the multiplier (boll_mult) is 1.0.
Role in an Uptrend:
In a healthy uptrend, price rides near the 95th percentile line. When price crosses above this Upper Bollinger Band, it confirms strong bullish momentum.
Upper Std Dev Band of the Upper Quantile (95th Percentile) Band:
Calculation:
quant_upper_std_up=quant_upper+stdev
quant_upper_std_up=quant_upper+stdev The Upper Quantile Band, quant_upperquant_upper, is calculated as the 95th percentile of recent price data. Adding one standard deviation creates an extension that accounts for normal volatility around this extreme level.
The Golden Channel:
When the price crosses above the Upper Bollinger Band, the Upper Std Dev Band of the Upper Quantile immediately shifts to gold (yellow) and remains gold until price falls below the Bollinger level. Together, these two lines form the “golden channel”—a visual hallmark of a healthy uptrend where the price reliably hugs the 95th percentile level.
Upper Power‑Law Band
Calculation:
The Upper Power‑Law Band is derived in two steps:
Determine the Extreme Return Factor:
power_upper=Percentile(returns,95%)
power_upper=Percentile(returns,95%) where returns are computed as:
returns=closeclose −1.
returns=close close−1.
Scale the Current Price:
power_upper_band=close×(1+power_upper)
power_upper_band=close×(1+power_upper)
Rationale and Correlation:
By focusing on the upper 5% of returns (reflecting “fat tails”), the Upper Power‑Law Band captures extreme but statistically expected movements. In an uptrend, its value often converges with the Upper Std Dev Band of the Upper Quantile because both measures reflect heightened volatility and extreme price levels. When the Upper Power‑Law Band exceeds the Upper Std Dev Band, it can signal a temporary overextension.
Upper Quantile Band (95% Percentile)
Calculation:
quant_upper=Percentile(price,95%)
quant_upper=Percentile(price,95%) This level represents where 95% of past price data falls below, and in a robust uptrend the price action practically rides this line.
Color Logic:
Its color shifts from a neutral (blackish) tone to a vibrant, bullish hue when the Upper Power‑Law Band crosses above it—signaling extra strength in the trend.
Lower Quantile and Its Support
Lower Quantile Band (5% Percentile):
Calculation:
quant_lower=Percentile(price,5%)
quant_lower=Percentile(price,5%)
Behavior:
In a healthy uptrend, price remains well above the Lower Quantile Band. It turns red only when price touches or crosses it, serving as a warning signal. Under normal conditions it remains bright green, indicating the market is not nearing these extreme lows.
Lower Std Dev Band of the Lower Quantile:
This line is calculated by subtracting one standard deviation from quant_lowerquant_lower and typically serves as absolute support in nearly all conditions (except during gap or near-gap moves). Its consistent role as support provides traders with a robust level to monitor.
How to Use the Indicator:
Golden Channel and Trend Confirmation:
As price rides the Upper Quantile (95th percentile) perfectly in a healthy uptrend, the Upper Bollinger Band (1 stdev above SMA) and the Upper Std Dev Band of the Upper Quantile form a “golden channel” once price crosses above the Bollinger level. When this occurs, the Upper Std Dev Band remains gold until price dips back below the Bollinger Band. This visual cue reinforces trend strength.
Power‑Law Insights:
The Upper Power‑Law Band, which is based on extreme (95th percentile) returns, tends to align with the Upper Std Dev Band. This convergence reinforces that extreme, yet statistically expected, price moves are occurring—indicating that even though the price rides the 95th percentile, it can only stretch so far before a correction or consolidation.
Support Indicators:
Primary and Secondary Support in Uptrends:
The Upper Bollinger Band and the Lower Std Dev Band of the Upper Quantile act as support zones for minor retracements in the uptrend.
Absolute Support:
The Lower Std Dev Band of the Lower Quantile serves as an almost invariable support area under most market conditions.
Conclusion:
The Multi-Band Comparison indicator unifies advanced statistical techniques to offer a clear view of uptrend structure. In a healthy bull market, price action rides the 95th percentile line with precision, and when the Upper Bollinger Band is breached, the corresponding Upper Std Dev Band turns gold to form a “golden channel.” This, combined with the Power‑Law analysis that captures extreme moves, and the robust lower support levels, provides traders with powerful, multi-dimensional insights for managing entries, exits, and risk.
Disclaimer:
Trading involves risk. This indicator is for educational purposes only and does not constitute financial advice. Always perform your own analysis before making trading decisions.
Ketidakstabilan
Bank Nifty Weighted IndicatorThe Bank Nifty Weighted Indicator is a comprehensive trading tool designed to analyze the performance of the Bank Nifty Index using its constituent stocks' weighted prices. It combines advanced technical analysis tools, including Bollinger Bands, to provide highly accurate buy and sell signals, especially for intraday traders and scalpers.
DMI Candles ColoredThe DMI Candles Colored indicator colors the candles based on directional momentum derived from the DMI.
- Green : Bullish momentum.
- Red : Bearish momentum.
- Purple : Neutral phase, indicating a slowdown in volatility, which helps identify accumulation and distribution phases.
ema,atr and with Bollinger Bands (Indicator)1. Indicator Overview
The indicator:
Displays EMA and Bollinger Bands on the chart.
Tracks price behavior during a user-defined trading session.
Generates long/short signals based on crossover conditions of EMA or Bollinger Bands.
Provides alerts for potential entries and exits.
Visualizes tracked open and close prices to help traders interpret market conditions.
2. Key Features
Inputs
session_start and session_end: Define the active trading session using timestamps.
E.g., 17:00:00 (5:00 PM) for session start and 15:40:00 (3:40 PM) for session end.
atr_length: The lookback period for the Average True Range (ATR), used for price movement scaling.
bb_length and bb_mult: Control the Bollinger Bands' calculation, allowing customization of sensitivity.
EMA Calculation
A 21-period EMA is calculated using:
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ema21 = ta.ema(close, 21)
Purpose: Acts as a dynamic support/resistance level. Price crossing above or below the EMA indicates potential trend changes.
Bollinger Bands
Purpose: Measure volatility and identify overbought/oversold conditions.
Formula:
Basis: Simple Moving Average (SMA) of closing prices.
Upper Band: Basis + (Standard Deviation × Multiplier).
Lower Band: Basis - (Standard Deviation × Multiplier).
Code snippet:
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bb_basis = ta.sma(close, bb_length)
bb_dev = bb_mult * ta.stdev(close, bb_length)
bb_upper = bb_basis + bb_dev
bb_lower = bb_basis - bb_dev
Session Tracking
The in_session variable ensures trading signals are only generated within the defined session:
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in_session = time >= session_start and time <= session_end
3. Entry Conditions
EMA Crossover
Long Signal: When the price crosses above the EMA during the session:
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ema_long_entry_condition = ta.crossover(close, ema21) and in_session and barstate.isconfirmed
Short Signal: When the price crosses below the EMA during the session:
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ema_short_entry_condition = ta.crossunder(close, ema21) and in_session and barstate.isconfirmed
Bollinger Bands Crossover
Long Signal: When the price crosses above the upper Bollinger Band:
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bb_long_entry_condition = ta.crossover(close, bb_upper) and in_session and barstate.isconfirmed
Short Signal: When the price crosses below the lower Bollinger Band:
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bb_short_entry_condition = ta.crossunder(close, bb_lower) and in_session and barstate.isconfirmed
4. Tracked Prices
The script keeps track of key open/close prices using the following logic:
If a long signal is detected and the close is above the open, it tracks the open price.
If the close is below the open, it tracks the close price.
Tracked values are scaled using *4 (custom scaling logic).
These tracked prices are plotted for visual feedback:
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plot(tracked_open, color=color.red, title="Tracked Open Price", linewidth=2)
plot(tracked_close, color=color.green, title="Tracked Close Price", linewidth=2)
5. Exit Conditions
Long Exit: When the price drops below the tracked open and close price:
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exit_long_condition = (close < open) and (tracked_close < tracked_open) and barstate.isconfirmed
Short Exit: When the price rises above the tracked open and close price:
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exit_short_condition = (close > open) and (tracked_close > tracked_open) and barstate.isconfirmed
6. Visualization
Plots:
21 EMA, Bollinger Bands (Basis, Upper, Lower).
Tracked open/close prices for additional context.
Background Colors:
Green for long signals, red for short signals (e.g., ema_long_entry_condition triggers a green background).
7. Alerts
The script defines alerts to notify the user about key events:
Entry Alerts:
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alertcondition(ema_long_entry_condition, title="EMA Long Entry", message="EMA Long Entry")
alertcondition(bb_long_entry_condition, title="BB Long Entry", message="BB Long Entry")
Exit Alerts:
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alertcondition(exit_long_condition, title="Exit Long", message="Exit Long")
8. Purpose
Trend Following: EMA crossovers help identify trend changes.
Volatility Breakouts: Bollinger Band crossovers highlight overbought/oversold regions.
Custom Sessions: Trading activity is restricted to specific time periods for precision.
PVBIJUCLT Session's First Bar RangeOening Range Trading developed by VJ. its a calculation of the opening candle range, used in any timeframe for the entry exit decisions
Adaptive MFI Divergence IndicatorKey Features:
Pivot-Based Divergence Detection:
The script identifies bullish and bearish divergences using MFI EMA and price pivots:
Bullish Divergence: Price forms a lower low, while the MFI EMA forms a higher low.
Bearish Divergence: Price forms a higher high, while the MFI EMA forms a lower high.
Pivots are determined using configurable left and right bars for fine-tuned divergence detection.
Dynamic Entry Conditions:
For bullish divergences, the script:
Records the pivot high formed between the two pivot lows.
Triggers a buy signal only when the price closes above the recorded pivot high.
Ensures that the divergence aligns with a positive trend and occurs under favorable volatility conditions.
For bearish divergences, the script:
Records the pivot low formed between the two pivot highs.
Triggers a sell signal only when the price closes below the recorded pivot low.
Confirms the divergence aligns with a negative trend and sufficient volatility.
Trend and Volatility Filtering:
Confirms trend alignment using EMA crossovers:
Bullish Trend: EMA (25) > EMA (50).
Bearish Trend: EMA (25) < EMA (50).
Filters signals using Historical Volatility (HV):
Signals are valid only if HV exceeds its 50-period SMA benchmark, ensuring active market conditions.
Enhanced Money Flow Index (MFI):
The MFI calculation is enhanced by:
Adjusting for volume weight using a logarithmic scale based on the ratio of current to average volume.
Normalizing weights to stay within a stable range (0.5–1.5).
Offers the option to toggle between standard and adjusted MFI using the “Use adjusted MFI” input.
Clear Visual and Alert System:
Signals are marked directly on the chart:
Green "BUY" labels appear below the bars for bullish signals.
Red "SELL" labels appear above the bars for bearish signals.
Alerts for both bullish and bearish divergences enable real-time notifications.
Entry Conditions:
Bullish Entry:
Divergence Confirmation:
Price forms a lower low.
MFI EMA forms a higher low.
Pivot low is confirmed.
Pivot High Recording:
The script records the pivot high formed between the two pivot lows.
Entry Trigger:
A buy alert is triggered only when the price closes above the recorded pivot high.
Additional checks:
Trend Confirmation: EMA (25) > EMA (50).
Volatility Validation: HV exceeds its benchmark (50-period SMA).
MFI EMA Threshold: MFI EMA > 61.8.
Bearish Entry:
Divergence Confirmation:
Price forms a higher high.
MFI EMA forms a lower high.
Pivot high is confirmed.
Pivot Low Recording:
The script records the pivot low formed between the two pivot highs.
Entry Trigger:
A sell alert is triggered only when the price closes below the recorded pivot low.
Additional checks:
Trend Confirmation: EMA (25) < EMA (50).
Volatility Validation: HV exceeds its benchmark (50-period SMA).
MFI EMA Threshold: MFI EMA < 38.2.
Practical Applications:
Divergence-Based Reversals:
Ideal for detecting potential trend reversals using divergence signals confirmed by pivot breakouts.
Trend-Filtered Signals:
Eliminates false signals by requiring trend alignment via EMA crossovers.
Volatility-Aware Trading:
Ensures signals occur during active market conditions, reducing noise and enhancing signal reliability.
Why Choose This Indicator?
The Custom MFI Divergence Alerts script combines:
Accurate divergence detection using pivots on price and MFI EMA.
Dynamic entry conditions that align with trend and market volatility.
Volume-weighted MFI adjustments for more reliable oscillator signals
CBA MA Cross Volatility AnalysisThis script plots 6 MA's. 14, 21, 35, 50.100,200. It was written to demonstrate the Volatility at cross over and under price points. It detects the cross over and under for each pair. Then it seeks to identify the VOLATILITY and marks the chart accordingly. Symbols:( "X" Increased Volatility. "D" Decreased Volatility below the bar. "O" Increased Volatility. "V" for Decreased Volatility above the bar) at the crossover/crossunder price points. PLEASE NOTE: There is an additional script of ATR(volatility) which plots in an independent pane. It calculates and plots ATR to measure VOLATILITY over a specified time frame.
SV Volatility Indicator BasicThe SV Volatility Indicator Basic in TradingView calculates and visualizes daily and average volatility over specified periods using three lines. Here’s what it does:
1. Daily Volatility Calculation. The indicator computes daily volatility as the percentage difference between the high and low prices relative to the closing price:
2. 30-day Moving Average of Volatility. A simple moving average (SMA) is applied to the daily volatility values over the last 30 days to smooth short-term fluctuations.
3. 90-day Moving Average of Volatility. Similarly, an SMA is calculated over the last 90 days to provide a longer-term view of volatility trends.
4. Visualization:
Three lines are plotted:
Red line: Represents the daily volatility in percentage terms.
Blue line: Displays the 30-day moving average of volatility.
Green line: Shows the 90-day moving average of volatility.
This indicator helps traders analyze market volatility by providing both immediate (daily) and smoothed (30-day and 90-day) measures, aiding in trend identification and risk assessment.
TTM VWAP PublicThe TTM VWAP indicator was developed by the TotheMoon Team with day traders in mind, particularly those focused on the U.S. markets. This indicator is perfectly suited for U.S. trading sessions, as it automatically resets at 4 AM Eastern Standard Time, aligning with the start of each new trading day in the U.S. It provides a fresh perspective at the beginning of each market session, helping traders make informed decisions based on volume-weighted price action.
majikal78
Custom Volume Ratio Indicator
The Custom Volume Ratio Indicator is a unique tool designed for traders to analyze price movements in relation to trading volume. This indicator calculates the ratio of the price range (the difference between the highest and lowest prices of a candle) to the volume of that candle. By visualizing this ratio, traders can gain insights into market dynamics and potential price movements.
Key Features:
1. Price Range Calculation: The indicator computes the price range for each candle by subtracting the lowest price from the highest price. This gives traders an understanding of how much price fluctuated during that specific time frame.
2. Volume Measurement: It utilizes the trading volume of each candle, which reflects the number of shares or contracts traded during that period. Volume is a critical factor in confirming trends and reversals in the market.
3. Ratio Visualization: The primary output of the indicator is the ratio of price range to volume. A higher ratio may indicate increased volatility relative to volume, suggesting potential trading opportunities. Conversely, a lower ratio could imply a more stable market environment.
4. Color-Coded Bars: The bars representing the ratio are color-coded based on the candle's closing price relative to its opening price. Green bars indicate bullish candles (where the close is higher than the open), while red bars indicate bearish candles (where the close is lower than the open). This visual cue helps traders quickly assess market sentiment.
5. Background Highlighting: The indicator also features a subtle background color to enhance visibility, making it easier for traders to focus on key areas of interest on the chart.
Use Cases:
• Trend Confirmation: Traders can use the volume ratio to confirm existing trends. A rising ratio alongside increasing volume may suggest a strong bullish trend, while a declining ratio could indicate weakening momentum.
• Volatility Assessment: By analyzing the price range relative to volume, traders can identify periods of high volatility. This information can be crucial for setting stop-loss orders or determining entry points.
• Market Sentiment Analysis: The color-coded bars provide immediate insight into market sentiment, allowing traders to make informed decisions based on recent price action.
Overall, the Custom Volume Ratio Indicator serves as a valuable addition to any trader's toolkit, providing essential insights into market behavior and helping to inform trading strategies.
Volatility Stop with Volatility AlertsA volatility stop script with alert functionality that allow for alerts to be custom programmed
JJ Highlight Time Ranges with First 5 Minutes and LabelsTo effectively use this Pine Script as a day trader , here’s how the various elements can help you manage trades, track time sessions, and monitor price movements:
Key Components for a Day Trader:
1. First 5-Minute Highlight:
- Purpose: Day traders often rely on the first 5 minutes of the trading session to gauge market sentiment, watch for opening price gaps, or plan entries. This script draws a horizontal line at the high or low of the first 5 minutes, which can act as a key level for the rest of the day.
- How to Use: If the price breaks above or below the first 5-minute line, it can signal momentum. You might enter a long position if the price breaks above the first 5-minute high or a short if it breaks below the first 5-minute low.
2. Session Time Highlights:
- Morning Session (9:15–10:30 AM): The market often shows its strongest price action during the first hour of trading. This session is highlighted in yellow. You can use this highlight to focus on the most volatile period, as this is when large institutional moves tend to occur.
- Afternoon Session (12:30–2:55 PM): The blue highlight helps you track the mid-afternoon session, where liquidity may decrease, and price action can sometimes be choppier. Day traders should be more cautious during this period.
- How to Use: By highlighting these key times, you can:
- Focus on key breakouts during the morning session.
- Be more conservative in your trades during the afternoon, as market volatility may drop.
3. Dynamic Labels:
- Top/Bottom Positioning: The script places labels dynamically based on the selected position (Top or Bottom). This allows you to quickly glance at the session's start and identify where you are in terms of time.
- How to Use: Use these labels to remind yourself when major time segments (morning or afternoon) begin. You can adjust your trading strategy depending on the session, e.g., being more aggressive in the morning and more cautious in the afternoon.
Trading Strategy Suggestions:
1. Momentum Trades:
- After the first 5 minutes, use the high/low of that period to set up breakout trades.
- Long Entry: If the price breaks the high of the first 5 minutes (especially if there's a strong trend).
- Short Entry: If the price breaks the low of the first 5 minutes, signaling a potential downtrend.
2. Session-Based Strategy:
- Morning Session (9:15–10:30 AM):
- Look for strong breakout patterns such as support/resistance levels, moving average crossovers, or candlestick patterns (like engulfing candles or pin bars).
- This is a high liquidity period, making it ideal for executing quick trades.
- Afternoon Session (12:30–2:55 PM):
- The market tends to consolidate or show less volatility. Scalping and mean-reversion strategies work better here.
- Avoid chasing big moves unless you see a clear breakout in either direction.
3. Support and Resistance:
- The first 5-minute high/low often acts as a key support or resistance level for the rest of the day. If the price holds above or below this level, it’s an indication of trend continuation.
4. Breakout Confirmation:
- Look for breakouts from the highlighted session time ranges (e.g., 9:15 AM–10:30 AM or 12:30 PM–2:55 PM).
- If a breakout happens during a key time window, combine that with other technical indicators like volume spikes , RSI , or MACD for confirmation.
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Example Day Trader Usage:
1. First 5 Minutes Strategy: After the market opens at 9:15 AM, watch the price action for the first 5 minutes. The high and low of these 5 minutes are critical levels. If the price breaks above the high of the first 5 minutes, it might indicate a strong bullish trend for the day. Conversely, breaking below the low may suggest bearish movement.
2. Morning Session: After the first 5 minutes, focus on the **9:15 AM–10:30 AM** window. During this time, look for breakout setups at key support/resistance levels, especially when paired with high volume or momentum indicators. This is when many institutions make large trades, so price action tends to be more volatile and predictable.
3. Afternoon Session: From 12:30 PM–2:55 PM, the market might experience lower volatility, making it ideal for scalping or range-bound strategies. You could look for reversals or fading strategies if the market becomes too quiet.
Conclusion:
As a day trader, you can use this script to:
- Track and react to key price levels during the first 5 minutes.
- Focus on high volatility in the morning session (9:15–10:30 AM) and **be cautious** during the afternoon.
- Use session-based timing to adjust your strategies based on the time of day.
Time-Based VWAP (TVWAP)(TVWAP) Indicator
The Time-Based Volume Weighted Average Price (TVWAP) indicator is a customized version of VWAP designed for intraday trading sessions with defined start and end times. Unlike the traditional VWAP, which calculates the volume-weighted average price over an entire trading day, this indicator allows you to focus on specific time periods, such as ICT kill zones (e.g., London Open, New York Open, Power Hour). It helps crypto scalpers and advanced traders identify price deviations relative to volume during key trading windows.
Key Features:
Custom Time Interval:
You can set the exact start and end times for the VWAP calculation using input settings for hours and minutes (24-hour format).
Ideal for analyzing short, high-liquidity periods.
Dynamic Accumulation of Price and Volume:
The indicator resets at the beginning of the specified session and accumulates price-volume data until the end of the session.
Ensures that the TVWAP reflects the weighted average price specific to the chosen session.
Visual Representation:
The indicator plots the TVWAP line only during the specified time window, providing a clear visual reference for price action during that period.
Outside the session, the TVWAP line is hidden (na).
Use Cases:
ICT Scalp Trading:
Monitor price rebalances or potential liquidity sweeps near TVWAP during important trading sessions.
Mean Reversion Strategies:
Detect pullbacks toward the session’s average price for potential entry points.
Breakout Confirmation:
Confirm price direction relative to TVWAP during kill zones or high-volume times to determine if a breakout is supported by volume.
Inputs:
Start Hour/Minute: The time when the TVWAP calculation starts.
End Hour/Minute: The time when the TVWAP calculation ends.
Technical Explanation:
The indicator uses the timestamp function to create time markers for the session start and end.
During the session, the price-volume (close * volume) is accumulated along with the total volume.
TVWAP is calculated as:
TVWAP = (Sum of (Price × Volume)) ÷ (Sum of Volume)
Once the session ends, the TVWAP resets for the next trading period.
Customization Ideas:
Alerts: Add notifications when the price touches or deviates significantly from TVWAP.
Different Colors: Use different line colors based on upward or downward trends.
Multiple Sessions: Add support for multiple TVWAP lines for different time periods (e.g., London + New York).
Volatility Stop: Max/Min ExplanationA Volatility Stop Indicator that attempts to track volume changes
Pivot + 7 EMA + Bollinger Band [by sameer]here you get one and only indicator to have bollinger band and pivot.
RSI-Bollinger Band SynergyThis TradingView script, titled "RSI-Bollinger Band Synergy", is a technical analysis tool designed to combine the power of Bollinger Bands and the Relative Strength Index (RSI) to generate potential buy and sell signals.
Key Features:
Bollinger Bands Configuration:
Length: Customizable with a default value of 30 periods.
Multiplier: Adjustable with a default value of 2.33.
Calculates the Upper Band, Lower Band, and the Basis using a Simple Moving Average (SMA) and standard deviation.
RSI (Relative Strength Index):
Length: Adjustable, with a default value of 14 periods.
Used to confirm overbought and oversold conditions, enhancing the accuracy of signals.
Signal Conditions:
Buy Signal:
Triggered when the price crosses above the lower Bollinger Band.
RSI is below 40, indicating oversold conditions.
Sell Signal:
Triggered when the price crosses below the upper Bollinger Band.
RSI is above 60, indicating overbought conditions.
Visual Elements:
Bands: The upper and lower Bollinger Bands are displayed with distinct colors (red for the upper band, green for the lower band), while the Basis line is shown in blue.
Filled Bands: The area between the upper and lower bands is shaded in purple with transparency for better visualization.
Signals:
Buy signals are displayed with green labels ("Buy") below the bars.
Sell signals are shown with red labels ("Sell") above the bars.
Usage:
This script is suitable for traders who want to leverage both price volatility (via Bollinger Bands) and momentum (via RSI) to identify entry and exit points.
Notes:
The RSI thresholds (40 for buy and 60 for sell) can be fine-tuned based on individual preferences or market conditions.
The Bollinger Bands length and multiplier can also be adjusted to suit the desired time frame and volatility sensitivity.
Use this tool in conjunction with other technical indicators or strategies for better results.
Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Always perform your own analysis before making trading decisions.
EMA + BB + ST indicatorThe EMA + BB + ST Indicator is a versatile and compact trading tool designed for traders using free accounts with limited indicators. It combines three powerful technical analysis tools into one:
Exponential Moving Average (EMA): Tracks the trend and smooths price data, making it easier to identify market direction and potential reversals. Configurable to various timeframes for both short-term and long-term trend analysis.
Bollinger Bands (BB): Measures volatility and provides dynamic support and resistance levels. Useful for spotting overbought/oversold conditions and breakout opportunities.
SuperTrend (ST): A trend-following indicator that overlays the chart with buy/sell signals. It simplifies decision-making by highlighting clear trend reversals.
This single indicator offers a streamlined experience, helping traders:
Save indicator slots on free platforms like TradingView.
Gain comprehensive market insights from a single chart.
Easily customize inputs for EMA, BB, and ST to suit various strategies.
Ideal for swing, day, and long-term traders who want to maximize efficiency and performance on free accounts without sacrificing advanced functionality.
EMA Trend Reversed for VIX (v6)This script is designed specifically for tracking trends in the Volatility Index (VIX), which often behaves inversely to equity markets. It uses three Exponential Moving Averages (EMAs) to identify trends and highlight crossovers that signify potential shifts in market sentiment.
Unlike traditional trend-following indicators, this script reverses the usual logic for VIX, marking uptrends (indicating rising volatility and potential market fear) in red and downtrends (indicating falling volatility and potential market stability) in green. This reversal aligns with the VIX's unique role as a "fear gauge" for the market.
Key Features:
EMA Visualization:
Plots three customizable EMAs on the chart: Fast EMA (default 150), Medium EMA (default 200), and Slow EMA (default 250).
The user can adjust EMA lengths via input settings.
Trend Highlighting:
Red fill: Indicates an uptrend in VIX (rising fear/volatility).
Green fill: Indicates a downtrend in VIX (falling fear/volatility).
Crossover Detection:
Marks points where the Fast EMA crosses above or below the Slow EMA.
Red Labels: Fast EMA crossing above Slow EMA (trend shifts upward).
Green Labels: Fast EMA crossing below Slow EMA (trend shifts downward).
Alerts:
Custom alerts for crossovers:
"Trend Crossed UP": Notifies when VIX enters an uptrend.
"Trend Crossed DOWN": Notifies when VIX enters a downtrend.
Alerts can be used to monitor market conditions without actively watching the chart.
Customization:
Flexible EMA settings for fine-tuning based on the user's trading style or market conditions.
Dynamic coloring to provide clear visual cues for trend direction.
Use Cases:
Risk Management: Use this script to monitor shifts in VIX trends as a signal to adjust portfolio risk exposure.
Market Sentiment Analysis: Identify periods of heightened or reduced market fear to guide broader trading strategies.
Technical Analysis: Combine with other indicators or tools to refine trade entry and exit decisions.
How to Use:
Apply this indicator to a VIX chart (or similar volatility instrument).
Watch for the red and green fills to monitor trend changes.
Enable alerts to receive notifications on significant crossovers.
Adjust EMA settings to suit your desired sensitivity.
Notes:
This script is optimized for the VIX but can be applied to other volatility-based instruments.
For best results, pair with additional indicators or analysis tools to confirm signals.
Dynamic Intensity Transition Oscillator (DITO)The Dynamic Intensity Transition Oscillator (DITO) is a comprehensive indicator designed to identify and visualize the slope of price action normalized by volatility, enabling consistent comparisons across different assets. This indicator calculates and categorizes the intensity of price movement into six states—three positive and three negative—while providing visual cues and alerts for state transitions.
Components and Functionality
1. Slope Calculation
- The slope represents the rate of change in price action over a specified period (Slope Calculation Period).
- It is calculated as the difference between the current price and the simple moving average (SMA) of the price, divided by the length of the period.
2. Normalization Using ATR
- To standardize the slope across assets with different price scales and volatilities, the slope is divided by the Average True Range (ATR).
- The ATR ensures that the slope is comparable across assets with varying price levels and volatility.
3. Intensity Levels
- The normalized slope is categorized into six distinct intensity levels:
High Positive: Strong upward momentum.
Medium Positive: Moderate upward momentum.
Low Positive: Weak upward movement or consolidation.
Low Negative: Weak downward movement or consolidation.
Medium Negative: Moderate downward momentum.
High Negative: Strong downward momentum.
4. Visual Representation
- The oscillator is displayed as a histogram, with each intensity level represented by a unique color:
High Positive: Lime green.
Medium Positive: Aqua.
Low Positive: Blue.
Low Negative: Yellow.
Medium Negative: Purple.
High Negative: Fuchsia.
Threshold levels (Low Intensity, Medium Intensity) are plotted as horizontal dotted lines for visual reference, with separate colors for positive and negative thresholds.
5. Intensity Table
- A dynamic table is displayed on the chart to show the current intensity level.
- The table's text color matches the intensity level color for easy interpretation, and its size and position are customizable.
6. Alerts for State Transitions
- The indicator includes a robust alerting system that triggers when the intensity level transitions from one state to another (e.g., from "Medium Positive" to "High Positive").
- The alert includes both the previous and current states for clarity.
Inputs and Customization
The DITO indicator offers a variety of customizable settings:
Indicator Parameters
Slope Calculation Period: Defines the period over which the slope is calculated.
ATR Calculation Period: Defines the period for the ATR used in normalization.
Low Intensity Threshold: Threshold for categorizing weak momentum.
Medium Intensity Threshold: Threshold for categorizing moderate momentum.
Intensity Table Settings
Table Position: Allows you to position the intensity table anywhere on the chart (e.g., "Bottom Right," "Top Left").
Table Size: Enables customization of table text size (e.g., "Small," "Large").
Use Cases
Trend Identification:
- Quickly assess the strength and direction of price movement with color-coded intensity levels.
Cross-Asset Comparisons:
- Use the normalized slope to compare momentum across different assets, regardless of price scale or volatility.
Dynamic Alerts:
- Receive timely alerts when the intensity transitions, helping you act on significant momentum changes.
Consolidation Detection:
- Identify periods of low intensity, signaling potential reversals or breakout opportunities.
How to Use
- Add the indicator to your chart.
- Configure the input parameters to align with your trading strategy.
Observe:
The Oscillator: Use the color-coded histogram to monitor price action intensity.
The Intensity Table: Track the current intensity level dynamically.
Alerts: Respond to state transitions as notified by the alerts.
Final Notes
The Dynamic Intensity Transition Oscillator (DITO) combines trend strength detection, cross-asset comparability, and real-time alerts to offer traders an insightful tool for analyzing market conditions. Its user-friendly visualization and comprehensive alerting make it suitable for both novice and advanced traders.
Disclaimer: This indicator is for educational purposes and is not financial advice. Always perform your own analysis before making trading decisions.
ADX (levels)This Pine Script indicator calculates and displays the Average Directional Index (ADX) along with the DI+ and DI- lines to help identify the strength and direction of a trend. The script is designed for Pine Script v6 and includes customizable settings for a more tailored analysis.
Features:
ADX Calculation:
The ADX measures the strength of a trend without indicating its direction.
It uses a smoothing method for more reliable trend strength detection.
DI+ and DI- Lines (Optional):
The DI+ (Directional Index Plus) and DI- (Directional Index Minus) help determine the direction of the trend:
DI+ indicates upward movement.
DI- indicates downward movement.
These lines are disabled by default but can be enabled via input settings.
Customizable Threshold:
A horizontal line (hline) is plotted at a user-defined threshold level (default: 20) to highlight significant ADX values that indicate a strong trend.
Slope Analysis:
The slope of the ADX is analyzed to classify the trend into:
Strong Trend: Slope is higher than a defined "medium" threshold.
Moderate Trend: Slope falls between "weak" and "medium" thresholds.
Weak Trend: Slope is positive but below the "weak" threshold.
A background color changes dynamically to reflect the strength of the trend:
Green (light or dark) indicates trend strength levels.
Custom Colors:
ADX color is customizable (default: pink #e91e63).
Background colors for trend strength can also be adjusted.
Independent Plot Window:
The indicator is displayed in a separate window below the price chart, making it easier to analyze trend strength without cluttering the main price chart.
Parameters:
ADX Period: Defines the lookback period for calculating the ADX (default: 14).
Threshold (hline): A horizontal line value to differentiate strong trends (default: 20).
Slope Thresholds: Adjustable thresholds for weak, moderate, and strong trend slopes.
Enable DI+ and DI-: Boolean options to display or hide the DI+ and DI- lines.
Colors: Customizable colors for ADX, background gradients, and other elements.
How to Use:
Identify Trend Strength:
Use the ADX value to determine the strength of a trend:
Below 20: Weak trend.
Above 20: Strong trend.
Analyze Trend Direction:
Enable DI+ and DI- to check whether the trend is upward (DI+ > DI-) or downward (DI- > DI+).
Dynamic Slope Detection:
Use the background color as a quick visual cue to assess trend strength changes.
This indicator is ideal for traders who want to measure trend strength and direction dynamically while maintaining a clean and organized chart layout.
