EMAsRaccoon Emas + ribbon
12 - 21 emas with ribbon for low timeframe
50,100, 200, 300 emas for key levels
Penunjuk dan strategi
Million Minority Strategy (Visualizer)This Indicator breaks up the candles on a 1 min chart into 5 minute blocks. THis can then provide an indication of what trade will open the next 5 min block.
SHORT_TRADING📈 EMA34 (Exponential Moving Average - 34 Period)
EMA34 is a technical analysis indicator that calculates the average price of an asset over the past 34 periods, giving more weight to recent prices. This makes it more responsive to recent price changes compared to a simple moving average.
🔍 Key Features:
Period: 34 candles (can be minutes, hours, days, depending on the chart timeframe)
Type: Exponential (faster reaction to price movements)
Purpose: Helps identify the current trend direction and potential support/resistance levels
📊 How Traders Use EMA34:
Trend Identification:
Price above EMA34 → uptrend
Price below EMA34 → downtrend
Dynamic Support/Resistance:
During uptrends, EMA34 often acts as a support
During downtrends, it acts as resistance
Entry/Exit Signals:
Crossovers with other EMAs (like EMA13 or EMA200) can signal potential trade setups
🧠 Common Pairing:
EMA34 is often used with shorter EMAs like EMA13 or longer ones like EMA55/EMA200 to create a moving average ribbon or crossover strategy.
MACD Histogram ROC with PVT FilterBelow is a detailed description of the "MACD Histogram ROC with PVT Filter" indicator based on the Pine Script v6 version, which uses the built-in `ta.pvt` function. This description assumes the latest code I provided with a single timeframe (chart-native) and the PVT filter.
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### Indicator Description: MACD Histogram ROC with PVT Filter
The "MACD Histogram ROC with PVT Filter" is a technical analysis indicator designed for TradingView (Pine Script v6) that combines the Moving Average Convergence Divergence (MACD) Histogram, its Rate of Change (ROC), and the Price Volume Trend (PVT) to identify bullish momentum with volume confirmation. Instead of plotting lines or values directly on the chart, it uses a customizable background color (default light green) to highlight periods where specific bullish conditions are met, providing a clean and visually intuitive signal for traders.
#### How It Works
The indicator evaluates three key conditions based on the chart’s native timeframe:
1. **MACD Histogram**:
- Calculated as the difference between the MACD Line (fast EMA minus slow EMA) and the Signal Line (EMA of the MACD Line).
- A positive Histogram (above zero) indicates bullish momentum.
2. **Histogram Rate of Change (ROC)**:
- Measures the change in the MACD Histogram from the previous bar.
- A positive ROC (increasing Histogram) suggests accelerating bullish strength.
3. **Price Volume Trend (PVT) with EMA Filter**:
- PVT tracks the cumulative relationship between price changes and volume, acting as a volume-weighted momentum indicator.
- An Exponential Moving Average (EMA) is applied to the PVT (default period of 9), and the indicator checks if the PVT is above this EMA, confirming that volume supports the price trend.
When all three conditions are true—MACD Histogram > 0, Histogram ROC > 0, and PVT > PVT EMA—the chart background is highlighted with the user-defined color, signaling a potential bullish opportunity.
#### Key Features
- **Single Timeframe**: Operates on the chart’s current timeframe (e.g., 1-minute, 5-minute, daily), ensuring alignment with your viewing resolution.
- **Customizable Price Input**: Allows selection of the price type (e.g., close, open, high, low, hl2, hlc3, ohlc4) for MACD and PVT calculations.
- **Adjustable MACD Parameters**: Users can modify the fast EMA, slow EMA, and signal EMA periods (default 12, 26, 9).
- **Configurable PVT EMA**: The EMA period applied to PVT is adjustable (default 9).
- **Background Highlight**: A single, customizable background color (default light green with 90% transparency) indicates when all conditions are met, keeping the chart uncluttered.
#### Purpose
This indicator is designed for traders seeking to confirm bullish price movements with both momentum (MACD Histogram and ROC) and volume (PVT) support. The background highlight simplifies decision-making by visually marking periods of strong bullish alignment without overwhelming the chart with additional lines or plots.
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### How to Use
1. **Adding the Indicator**:
- Open TradingView and access the Pine Editor (bottom of the chart window).
- Copy and paste the indicator code into the editor.
- Click “Add to Chart” to apply it to your current chart.
2. **Customizing Settings**:
- After adding the indicator, click its name in the chart’s indicator list and select “Settings” (gear icon).
- Adjust the following inputs:
- **Fast EMA Length**: Set the period for the fast EMA in the MACD (default 12).
- **Slow EMA Length**: Set the period for the slow EMA in the MACD (default 26).
- **Signal EMA Length**: Set the period for the signal line EMA (default 9).
- **Price Type**: Choose the price input for calculations (options: "close" , "open", "high", "low", "hl2", "hlc3", "ohlc4").
- **PVT EMA Period**: Define the EMA period for the PVT filter (default 9).
- **Background Color**: Select the highlight color and transparency (default light green, `#90EE90`, 90% transparency).
3. **Interpreting the Indicator**:
- **Green Background**: Appears when:
- The MACD Histogram is positive (bullish momentum).
- The Histogram ROC is positive (increasing momentum).
- The PVT is above its EMA (volume supports the trend).
- **No Highlight**: Indicates one or more conditions are not met, suggesting weaker or non-bullish conditions.
- Use the green highlight as a signal to consider bullish setups, such as entries or confirmation of an uptrend, depending on your trading strategy.
4. **Application**:
- Works on any timeframe (e.g., 1-minute for scalping, daily for swing trading) since it uses the chart’s native resolution.
- Combine with other indicators (e.g., support/resistance, RSI) or price action for a more robust trading system.
- Adjust the PVT EMA period to fine-tune sensitivity: a shorter period (e.g., 5) reacts faster, while a longer period (e.g., 20) smooths the filter.
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### Notes
- **Timeframe**: The indicator reflects the chart’s current timeframe. Change your chart’s resolution (e.g., from 5-minute to 15-minute) to analyze different timeframes.
- **Transparency**: The default 90% transparency allows price action to remain visible beneath the highlight. Lower it (e.g., to 50%) for a more solid color if preferred.
- **Limitations**: This is a bullish-only signal. It won’t highlight bearish conditions (e.g., Histogram < 0). Let me know if you’d like to add bearish highlights!
This indicator is a powerful tool for traders who value momentum and volume confirmation in a minimalist format. Let me know if you’d like to tweak it further or add more features!
Supertrend + Fair Value Gap [Combined]//@version=5
indicator("Supertrend + Fair Value Gap ", overlay = true, max_lines_count = 500, max_boxes_count = 500)
// === SUPER TREND ===
atrPeriod = input.int(10, "ATR Length", minval = 1)
factor = input.float(3.0, "Factor", minval = 0.01, step = 0.01)
= ta.supertrend(factor, atrPeriod)
supertrend := bar_index == 0 ? na : supertrend
upTrend = plot(direction < 0 ? supertrend : na, "Up Trend", color=color.green, style=plot.style_linebr)
downTrend = plot(direction < 0 ? na : supertrend, "Down Trend", color=color.red, style=plot.style_linebr)
bodyMiddle = plot(bar_index == 0 ? na : (open + close) / 2, "Body Middle", display=display.none)
fill(bodyMiddle, upTrend, title="Uptrend background", color=color.new(color.green, 90), fillgaps=false)
fill(bodyMiddle, downTrend, title="Downtrend background", color=color.new(color.red, 90), fillgaps=false)
alertcondition(direction > direction, title='Downtrend to Uptrend', message='The Supertrend value switched from Downtrend to Uptrend')
alertcondition(direction < direction, title='Uptrend to Downtrend', message='The Supertrend value switched from Uptrend to Downtrend')
alertcondition(direction != direction, title='Trend Change', message='The Supertrend value switched trend')
// === FAIR VALUE GAP ===
thresholdPer = input.float(0, "FVG Threshold %", minval=0, maxval=100, step=.1, inline='threshold')
auto = input.bool(false, "Auto", inline='threshold')
showLast = input.int(0, "Unmitigated Levels", minval=0)
mitigationLevels = input.bool(false, "Mitigation Levels")
tf = input.timeframe('', "FVG Timeframe")
extend = input.int(20, "Extend", minval=0, inline='extend', group="Style")
dynamic = input.bool(false, "Dynamic", inline='extend', group="Style")
bullCss = input.color(color.new(#089981, 70), "Bullish FVG", group="Style")
bearCss = input.color(color.new(#f23645, 70), "Bearish FVG", group="Style")
showDash = input.bool(false, "Show Dashboard", group="Dashboard")
dashLoc = input.string("Top Right", "Location", options= , group="Dashboard")
textSize = input.string("Small", "Text Size", options= , group="Dashboard")
type fvg
float max
float min
bool isbull
int t = time
method tosolid(color id) => color.rgb(color.r(id), color.g(id), color.b(id))
n = bar_index
detect() =>
var new_fvg = fvg.new(na, na, na, na)
threshold = auto ? ta.cum((high - low) / low) / bar_index : thresholdPer / 100
bull_fvg = low > high and close > high and (low - high ) / high > threshold
bear_fvg = high < low and close < low and (low - high) / high > threshold
if bull_fvg
new_fvg := fvg.new(low, high , true)
else if bear_fvg
new_fvg := fvg.new(low , high, false)
var float max_bull_fvg = na, var float min_bull_fvg = na, var bull_count = 0, var bull_mitigated = 0
var float max_bear_fvg = na, var float min_bear_fvg = na, var bear_count = 0, var bear_mitigated = 0
var t = 0
var fvg_records = array.new(0)
var fvg_areas = array.new(0)
= request.security(syminfo.tickerid, tf, detect())
if bull_fvg and new_fvg.t != t
if dynamic
max_bull_fvg := new_fvg.max
min_bull_fvg := new_fvg.min
if not dynamic
fvg_areas.unshift(box.new(n - 2, new_fvg.max, n + extend, new_fvg.min, na, bgcolor=bullCss))
fvg_records.unshift(new_fvg)
bull_count += 1
t := new_fvg.t
else if dynamic
max_bull_fvg := math.max(math.min(close, max_bull_fvg), min_bull_fvg)
if bear_fvg and new_fvg.t != t
if dynamic
max_bear_fvg := new_fvg.max
min_bear_fvg := new_fvg.min
if not dynamic
fvg_areas.unshift(box.new(n - 2, new_fvg.max, n + extend, new_fvg.min, na, bgcolor=bearCss))
fvg_records.unshift(new_fvg)
bear_count += 1
t := new_fvg.t
else if dynamic
min_bear_fvg := math.min(math.max(close, min_bear_fvg), max_bear_fvg)
// Mitigation logic
if fvg_records.size() > 0
for i = fvg_records.size() - 1 to 0
get = fvg_records.get(i)
if get.isbull and close < get.min
if mitigationLevels
line.new(get.t, get.min, time, get.min, xloc.bar_time, color=bullCss, style=line.style_dashed)
if not dynamic
area = fvg_areas.remove(i)
area.delete()
fvg_records.remove(i)
bull_mitigated += 1
else if not get.isbull and close > get.max
if mitigationLevels
line.new(get.t, get.max, time, get.max, xloc.bar_time, color=bearCss, style=line.style_dashed)
if not dynamic
area = fvg_areas.remove(i)
area.delete()
fvg_records.remove(i)
bear_mitigated += 1
// Unmitigated lines
var unmitigated = array.new(0)
if barstate.islast and showLast > 0 and fvg_records.size() > 0
for element in unmitigated
element.delete()
unmitigated.clear()
for i = 0 to math.min(showLast - 1, fvg_records.size() - 1)
get = fvg_records.get(i)
unmitigated.push(line.new(get.t, get.isbull ? get.min : get.max, time, get.isbull ? get.min : get.max, xloc.bar_time, color=get.isbull ? bullCss : bearCss))
// Dashboard
var table_position = dashLoc == 'Bottom Left' ? position.bottom_left : dashLoc == 'Top Right' ? position.top_right : position.bottom_right
var table_size = textSize == 'Tiny' ? size.tiny : textSize == 'Small' ? size.small : size.normal
var tb = table.new(table_position, 3, 3, bgcolor=#1e222d, border_color=#373a46, border_width=1, frame_color=#373a46, frame_width=1)
if showDash
if bar_index == 0
tb.cell(1, 0, "Bullish", text_color=bullCss.tosolid(), text_size=table_size)
tb.cell(2, 0, "Bearish", text_color=bearCss.tosolid(), text_size=table_size)
tb.cell(0, 1, "Count", text_color=color.white, text_size=table_size)
tb.cell(0, 2, "Mitigated", text_color=color.white, text_size=table_size)
if barstate.islast
tb.cell(1, 1, str.tostring(bull_count), text_color=bullCss.tosolid(), text_size=table_size)
tb.cell(2, 1, str.tostring(bear_count), text_color=bearCss.tosolid(), text_size=table_size)
tb.cell(1, 2, str.tostring(bull_mitigated / bull_count * 100, format.percent), text_color=bullCss.tosolid(), text_size=table_size)
tb.cell(2, 2, str.tostring(bear_mitigated / bear_count * 100, format.percent), text_color=bearCss.tosolid(), text_size=table_size)
// Plots for dynamic
max_bull_plot = plot(max_bull_fvg, color=na)
min_bull_plot = plot(min_bull_fvg, color=na)
fill(max_bull_plot, min_bull_plot, color=bullCss)
max_bear_plot = plot(max_bear_fvg, color=na)
min_bear_plot = plot(min_bear_fvg, color=na)
fill(max_bear_plot, min_bear_plot, color=bearCss)
// Alerts
alertcondition(bull_count > bull_count , "Bullish FVG", "Bullish FVG detected")
alertcondition(bear_count > bear_count , "Bearish FVG", "Bearish FVG detected")
alertcondition(bull_mitigated > bull_mitigated , "Bullish FVG Mitigation", "Bullish FVG mitigated")
alertcondition(bear_mitigated > bear_mitigated , "Bearish FVG Mitigation", "Bearish FVG mitigated")
Machine Learning: Lorentzian ClassificationUpdated with just the indicator for easier analysis. Moving average with machine learning built in.
Daily & Weekly BoxesThis indicator draws colored boxes to highlight key trading ranges:
DAILY BOXES
Shows price range (high/low) for each trading day (Mon-Fri).
Adjusts for market close at 5 PM ET
Custom colors for each weekday.
WEEKLY BOXES
Displays previous week's trading range.
Helps identify support/resistance levels.
Adjustable EMA 20/50/100/200Adjustable EMA Indicator (20/50/100/200)
This indicator plots four customizable Exponential Moving Averages (EMAs) directly on the chart. Originally set to the popular 20, 50, 100, and 200 periods, each EMA length can be easily adjusted through the input settings, making it flexible for different trading styles and timeframes.
🔧 Features:
4 EMA Lines: Default lengths are 20 (short-term), 50 (medium-term), 100 (long-term), and 200 (very long-term).
Customizable Inputs: Adjust each EMA period to match your strategy or analysis needs.
Color-Coded Lines:
Red: EMA 1
Orange: EMA 2
Aqua: EMA 3
Blue: EMA 4
Overlay on Price Chart: The EMAs are plotted directly over the price candles for easy reference.
✅ Use Cases:
Identifying trend direction and strength
Spotting dynamic support/resistance zones
Finding potential crossover signals
Whether you're a day trader, swing trader, or investor, this tool helps enhance your chart analysis with clean, flexible moving average lines.
Highlight London Session (12:30 to 3:30 IST)The very first Pine Script code was designed to highlight the London trading session, specifically from 12:30 PM to 3:30 PM IST, which corresponds to 7:00 AM to 10:00 AM in UTC. During this window, the script monitored the highest and lowest prices reached and, once the session ended, it automatically plotted horizontal lines at those high and low levels. These lines stayed on the chart to provide a clear visual reference of the London session range, making it easier for traders to spot key areas of support and resistance. This is especially useful for identifying potential breakouts, liquidity grabs, or retests later in the day. The script didn’t include any visual boxes or background highlights—just clean, simple lines that marked the session's price boundaries for strategic analysis.
Moving AveragesThis script contains the most important averages, which are:
- EMA 20
- EMA 50
- EMA 100
- EMA 200
- SMA 200
VWAP + Volume Spike + Momentum (Options)it is regarding vwasp stategy and how it willperform on vwap and movmentum
Color Changing EMAthis indicator shows change of color on ema.
A moving average is a technical indicator that investors and traders use to determine the trend direction of securities. It is calculated by adding up all the data points during a specific period and dividing the sum by the number of time periods. Moving averages help technical traders to generate trading signals.
Normalized MACD with RSI & Stoch RSI + SignalsNormalized MACD with RSI & Stoch RSI Indicator
Overview:
This indicator combines three popular momentum indicators (MACD, RSI, and Stochastic RSI) into a single cohesive, normalized view, making it easier for traders to interpret market momentum and potential buy/sell signals. It specifically addresses an important issue—the different scale ranges of indicators—by normalizing MACD values to match the 0–100 scale of RSI and Stochastic RSI.
Here’s a clear and concise description of your updated Pine Script indicator:
⸻
Normalized MACD with RSI & Stoch RSI Indicator
Overview:
This indicator combines three popular momentum indicators (MACD, RSI, and Stochastic RSI) into a single cohesive, normalized view, making it easier for traders to interpret market momentum and potential buy/sell signals. It specifically addresses an important issue—the different scale ranges of indicators—by normalizing MACD values to match the 0–100 scale of RSI and Stochastic RSI.
⸻
Key Components:
① MACD (Normalized):
• The Moving Average Convergence Divergence (MACD) originally has an unlimited numerical range.
• Normalization Method:
• Uses a custom tanh(x) function implemented directly in Pine Script:
\tanh(x) = \frac{e^{x}-e^{-x}}{e^{x}+e^{-x}}
• MACD values are scaled using this method to a range of 0–100, with the neutral line at exactly 50.
• Interpretation:
• Values above 50 indicate bullish momentum.
• Values below 50 indicate bearish momentum.
② RSI (Relative Strength Index):
• Measures market momentum on a 0–100 scale.
• Traditional RSI interpretation:
• Overbought conditions: RSI > 70–80.
• Oversold conditions: RSI < 30–20.
③ Stochastic RSI:
• Combines RSI and Stochastic Oscillator to give short-term, highly sensitive signals.
• Helps identify immediate market extremes:
• Above 80 → Short-term overbought.
• Below 20 → Short-term oversold.
⸻
How the Indicator Works:
• Visualization:
• All three indicators (Normalized MACD, RSI, Stochastic RSI) share the same 0–100 scale.
• Clear visual lines and reference levels:
• Midline at 50 indicates neutral momentum.
• Dashed lines at 20 and 80 clearly mark oversold/overbought zones.
• Trading Signals (Recommended approach):
• Bullish Signal (Potential Buy):
• Normalized MACD crosses above 50.
• RSI below or approaching oversold zone (below 30–20).
• Stochastic RSI below 20, indicating short-term oversold conditions.
• Bearish Signal (Potential Sell):
• Normalized MACD crosses below 50.
• RSI above or approaching overbought zone (above 70–80).
• Stochastic RSI above 80, indicating short-term overbought conditions.
⸻
Why Use This Indicator?
• Harmonized Signals:
Normalization of MACD significantly improves clarity and comparability with RSI and Stochastic RSI, providing a unified momentum picture.
• Intuitive Analysis:
Traders can rapidly and intuitively identify momentum shifts without needing multiple indicator windows.
• Improved Decision-Making:
Clear visual references and signals help reduce subjective interpretation, potentially improving trading outcomes.
⸻
Suggested Usage:
• Combine with traditional support
Z-Score Normalized Volatility IndicesVolatility is one of the most important measures in financial markets, reflecting the extent of variation in asset prices over time. It is commonly viewed as a risk indicator, with higher volatility signifying greater uncertainty and potential for price swings, which can affect investment decisions. Understanding volatility and its dynamics is crucial for risk management and forecasting in both traditional and alternative asset classes.
Z-Score Normalization in Volatility Analysis
The Z-score is a statistical tool that quantifies how many standard deviations a given data point is from the mean of the dataset. It is calculated as:
Z = \frac{X - \mu}{\sigma}
Where X is the value of the data point, \mu is the mean of the dataset, and \sigma is the standard deviation of the dataset. In the context of volatility indices, the Z-score allows for the normalization of these values, enabling their comparison regardless of the original scale. This is particularly useful when analyzing volatility across multiple assets or asset classes.
This script utilizes the Z-score to normalize various volatility indices:
1. VIX (CBOE Volatility Index): A widely used indicator that measures the implied volatility of S&P 500 options. It is considered a barometer of market fear and uncertainty (Whaley, 2000).
2. VIX3M: Represents the 3-month implied volatility of the S&P 500 options, providing insight into medium-term volatility expectations.
3. VIX9D: The implied volatility for a 9-day S&P 500 options contract, which reflects short-term volatility expectations.
4. VVIX: The volatility of the VIX itself, which measures the uncertainty in the expectations of future volatility.
5. VXN: The Nasdaq-100 volatility index, representing implied volatility in the Nasdaq-100 options.
6. RVX: The Russell 2000 volatility index, tracking the implied volatility of options on the Russell 2000 Index.
7. VXD: Volatility for the Dow Jones Industrial Average.
8. MOVE: The implied volatility index for U.S. Treasury bonds, offering insight into expectations for interest rate volatility.
9. BVIX: Volatility of Bitcoin options, a useful indicator for understanding the risk in the cryptocurrency market.
10. GVZ: Volatility index for gold futures, reflecting the risk perception of gold prices.
11. OVX: Measures implied volatility for crude oil futures.
Volatility Clustering and Z-Score
The concept of volatility clustering—where high volatility tends to be followed by more high volatility—is well documented in financial literature. This phenomenon is fundamental in volatility modeling and highlights the persistence of periods of heightened market uncertainty (Bollerslev, 1986).
Moreover, studies by Andersen et al. (2012) explore how implied volatility indices, like the VIX, serve as predictors for future realized volatility, underlining the relationship between expected volatility and actual market behavior. The Z-score normalization process helps in making volatility data comparable across different asset classes, enabling more effective decision-making in volatility-based strategies.
Applications in Trading and Risk Management
By using Z-score normalization, traders can more easily assess deviations from the mean in volatility, helping to identify periods when volatility is unusually high or low. This can be used to adjust risk exposure or to implement volatility-based trading strategies, such as mean reversion strategies. Research suggests that volatility mean-reversion is a reliable pattern that can be exploited for profit (Christensen & Prabhala, 1998).
References:
• Andersen, T. G., Bollerslev, T., Diebold, F. X., & Vega, C. (2012). Realized volatility and correlation dynamics: A long-run approach. Journal of Financial Economics, 104(3), 385-406.
• Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
• Christensen, B. J., & Prabhala, N. R. (1998). The relation between implied and realized volatility. Journal of Financial Economics, 50(2), 125-150.
• Whaley, R. E. (2000). Derivatives on market volatility and the VIX index. Journal of Derivatives, 8(1), 71-84.
Post-Death-Cross Reversaldentifies a “death cross” (EMA200 crossing above EMA50), then plots a small green triangle when EMA20’s slope is rising and its RSI crosses above 50—signaling a potential reversal. Also displays a histogram of EMA20’s slope as a momentum gauge.
DEMA SuperTrend | OpusDEMA SuperTrend | Opus
Technical Indicator Overview
The DEMA SuperTrend | Opus is an advanced trend-following indicator 🛠️ that enhances the traditional Supertrend with Double Exponential Moving Average (DEMA) smoothing for improved responsiveness and reduced lag. Overlaying directly on the price chart, this indicator offers dynamic trend detection with customizable themes, making it a versatile tool for traders navigating market movements.
Key Features 🌟
DEMA-Enhanced Supertrend ✅: Integrates DEMA smoothing (default length: 9) with Supertrend calculations for sharper trend signals.
Adaptive Trend Lines 📉: Plots uptrend and downtrend lines that adjust based on price action and volatility, with customizable color themes.
Buy & Sell Signals 🚦: Marks entry points with ▲ for long signals and ▼ for short signals when trend direction shifts.
Gradient Visualization 🎨: Features a multi-layered gradient fill between the Supertrend line and price, reflecting trend intensity with a thematic color scheme.
Customizable Themes 💡: Offers seven visual themes (Synthwave, Outrun, Lush, Eighties, Sapphire, Scarlet Blues, Origins) to personalize the display.
Custom Alerts 🔔: Provides real-time notifications for long and short signals to keep traders informed.
Usage Guidelines 📋
Long Signal (▲) ✅: Enter long positions when the trend shifts to an uptrend (marked by ▲), indicated by the uptrend line, suggesting bullish momentum.
Short Signal (▼) ❌: Exit or short when the trend shifts to a downtrend (marked by ▼), supported by the downtrend line, signaling bearish momentum.
Trend Confirmation: Follow the Supertrend line’s direction—uptrend for bullish, downtrend for bearish—to align with market trends.
Volatility Insight: Monitor gradient intensity—darker fills indicate stronger trends, while lighter fills suggest weakening momentum.
Customizable Settings ⚙️
Supertrend Parameters: Adjust Supertrend length (default: 2) and multiplier (default: 3.35) to control band sensitivity 🔧.
DEMA Settings: Set DEMA length (default: 9) and select the source (default: HLC3) for smoothing 🎚️.
Visualization Theme: Choose from Synthwave, Outrun, Lush, Eighties, Sapphire, Scarlet Blues, or Origins to customize colors 📏.
Gradient Options: Modify gradient layer count (default: 5) and opacity (max: 50) for a tailored visual effect 🖌️.
Applications 🌍
The DEMA SuperTrend | Opus is ideal for traders seeking a responsive, visually appealing tool for trend-following strategies. Its DEMA-enhanced design, thematic customization, and gradient visualization make it perfect for identifying trend direction, timing entries/exits, and adapting to various market conditions.
All under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) © 2025 Opus Capital 💼.
Iron Condor Sideways Market Detector📘 Description: Iron Condor Sideways Market Detector
This indicator helps option traders find sideways markets for Iron Condor strategy.
🔍 What it does:
📏 Detects when the market is moving in a small range.
✅ Gives a signal when the price is not trending and staying flat.
📉 Shows a label below the candle when conditions are right for an Iron Condor setup.
📊 How it works:
RSI between 40 and 60
→ Market is not overbought or oversold.
ADX below 25
→ Market has low trend strength.
Bollinger Band width is small
→ Price volatility is low.
Price range is within a fixed %
→ Market is moving inside a tight range.
🔔 Alerts:
You get an alert when all sideways conditions are true.
Great for planning neutral option strategies like Iron Condor.
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⚠️ Risk Disclaimer
📈 Trading involves risk. Always trade with proper knowledge and money management.
💸 You can lose part or all of your capital. Only invest what you can afford to lose.
🧠 This indicator is a tool, not a guarantee of profit.
🕵️♂️ Always verify signals with your own analysis before taking any position.
🛠️ Past performance of any strategy or tool does not guarantee future results.
📊 Options strategies like Iron Condor require understanding of option greeks, volatility, and risk/reward balance.
Option Contract Size CalculatorOption Contract Size Calculator
This indicator helps you to figure out the ideal number of contracts for your trade and its only used for options day trading.
The indicator needs to fill the input section in order to give you the information table that includes Contract size .
The input section consists of two sections. The first section requires user entry of the delta of the options contract from the broker chain and the stop loss size on the chart.
The second section allows you to enter your account balance and risk per trade
(2% recommended) .
There is also the option for where you wish to display your table like bottom right , bottom left or top right, top left.
special thanks to @Mohamedawke for the open source script this code is based off
Alpha Beast – Max Performance ModeTest strategy.
This strategy was created as a test, but shows good results in the 1-day chart.
RSI + BB %B Modify V2.0Hi,
I have created an indicator with combine of RSI and Bollinger Band %B.
RSI settings has been altered for best result. RSI Length is 25. Also BB %B ha been customized, Value is 50 instead of 20.
This indicator need to used with EMA ribbon, 10-20-50 and 200.
I believe that you will figure out the setup.
Thanks.
