Multi EMA SMA ramlakshman_BandThis advanced technical indicator overlays 20 customizable moving averages of two types (EMA & SMA) along with Bollinger Bands on your chart, enabling layered trend visualization and precise momentum tracking.
🔍 Features:
EMA Group: Select from 9 MA types (ema, sma, wma, vwma, hma, swma, alma, rma, linreg) and plot 20 different EMAs with fully adjustable lengths.
SMA Group: Same flexibility as EMAs, for 20 SMA lines, each with individual length input.
Bollinger Bands: Classic 20-period bands (configurable length and stddev), shaded for clear volatility recognition.
Toggle visibility for EMAs, SMAs, and BBs independently.
Color-coded lines for immediate visual grouping and clarity.
🎯 Use Case:
Designed for systematic traders, scalpers, trend followers, and algorithmic strategists who rely on MA crossovers, ribbon convergence/divergence, and volatility envelopes to generate signals or validate entries/exits.
🧠 Bonus:
Built on Pine Script v6 for max performance.
Optimized ma() function for dynamic multi-type averaging.
Custom hma() logic included for accurate Hull MA support.
移動平均線
Weekly 8 EMA Horizontal Linethis will automatically track the WEEKLY 8EMA on your chart so you can know where the Weekly 8EMA is on lower timeframes
Dily-weekly CPR @RamlakshmanDaily & Weekly CPR Levels with Multi-MA & Camarilla Bands by @Bull_Bear_Beast
This powerful script is a comprehensive support-resistance and trend structure tool, combining:
🔹 Daily & Weekly CPR Levels
Central Pivot Range (CPR) including TC (Top Central), P (Pivot), BC (Bottom Central).
Classic Pivots: R1 / S1.
Previous Day’s High-Low and Previous Week’s High-Low lines for accurate market context.
🔸 Camarilla Bands (H5–H3, L3–L5)
Powerful reversal & breakout zones:
H3 / L3: Reversal Levels.
H4 / L4: SL Zones.
H5 / L5: Extreme Rejection / Trend Continuation Zones.
Visual zone fill between levels for clarity and confluence.
📈 Multi-Moving Averages (MA Cluster)
Up to 3 customizable EMAs and 1 SMA.
Choose from different types: EMA, SMA, WMA, VWMA, ALMA, HMA, RMA, Linear Regression.
Display Bollinger Bands using SMA with custom deviation.
🔍 Highlights:
✅ Timeframe-Aware: Daily pivots shown on intraday charts, Weekly pivots on higher timeframes.
✅ Stylish Visuals: Colored zone fills between key levels (H5–H3, L3–L5), CPR ranges, and BB bands.
✅ Modular Display Options: Toggle visibility of EMAs, SMAs, BBs, and labels.
✅ Smart Plotting: Avoids clutter by showing pivots only when relevant.
🛠️ Best Used For:
Intraday scalping with CPR + Camarilla reversals.
Swing setups using weekly levels for confluence.
Spotting trend vs. consolidation zones via BBs and MAs.
Identifying fake breakouts around L3/H3 and CPR traps.
⚙️ User Tips:
Use on 5m to 1H charts for day trading.
Combine with price action, volume profile, or RSI divergence.
Watch for confluence between CPR, Camarilla, and previous highs/lows.
✨ Inspired By:
Floor Pivots, Camarilla Math, Smart Money Concepts, and popular institutional tools — wrapped into one flexible layout for the modern trader.
🧠 Created by: @Bull_Bear_Beast
If you like it, consider following or sharing feedback for improvements!
Custom EMA/SMA Dashboard📊 Custom EMA/SMA Dashboard
This indicator provides a customizable dashboard to display multiple moving averages (MAs) on your chart. You can switch between EMA (Exponential Moving Average) and SMA (Simple Moving Average) with a single input, and independently enable, color, and style each line.
✨ Features:
✅ Choose between EMA and SMA for all MAs
✅ Enable or disable each MA individually
🎨 Custom color and line width for:
10-period MA
20-period MA
50-period MA
200-period MA
Moving Average Exponential (Daily Frozen EMA)This script plots an Exponential Moving Average (EMA) based on the daily timeframe, but with a unique twist:
✅ The EMA value is frozen for the entire current daily session, only updating when a new daily candle begins.
🔍 How it works:
The EMA is calculated using the 1-day timeframe, regardless of the chart's current timeframe.
This EMA value remains fixed throughout the day — it doesn't fluctuate intrabar.
It updates only once the daily candle has closed, providing a stable and reliable reference point during the trading day.
The default is the 5 day EMA but can be changed to any EMA timeframe you desire such as 9, 21, 50, 100. 200, etc.
✨ Additional Features:
✅ Optional smoothing with various moving average types (SMA, EMA, WMA, SMMA, VWMA).
✅ Optional Bollinger Bands on top of the smoothed EMA.
✅ Adjustable settings for EMA length, smoothing type, Bollinger Band deviation, and display options.
🛠️ Use Cases:
Ideal for traders who want a non-reactive EMA during intraday trading.
Helps reduce signal noise by anchoring EMA to higher timeframe structure.
Useful for strategy development where EMA should represent confirmed daily bias only.
Hope this helps, happy trading!
Dr. Keith Wade Momentum SignalsThis is a heikin Ashli strategy combined with an 18 moving average crossover. Entry at cross of 18 EMA and exit at change of heikin Ashi
Dubic Dual EMA IndicatorThe Dual EMA Indicator combines two exponential moving averages (EMAs) to identify trend-based buy and sell signals. A buy signal is generated when the price closes above both EMAs suggesting strong bullish momentum. A sell signal appears when the price closes below both EMAs indicating bearish pressure.
PrismWMA (Rolling)# PrismWMA (Rolling)
Overview
PrismWMA computes rolling VWMA, TWMA and TrueWMA over a fixed lookback window, then plots dynamic volatility bands around each. It’s the rolling-window counterpart to PrismWAP’s anchored spans, giving you per-bar, up-to-date average levels and band excursions.
How It Works
Every bar, PrismWMA:
• Calculates VWMA, TWMA and TrueWMA over the last wmaWindowLen bars.
• Computes your chosen volatility measure (Std Dev, MAD, ATR-scaled) or Percent of WMA over volWindowLen bars.
• Draws upper/lower bands as ±mult × volatility (or ±mult % of the WMA in Percent mode).
Inputs
Settings/Default/Description
WMA Lookback (bars)/50/Number of bars for rolling WMA
Volatility Measure/Std Dev/Band width method: Std Dev, MAD, ATR (scaled), or Percent of WMA
Volatility Lookback (bars)/50/Number of bars used to compute rolling volatility
Band Multiplier (or %)/3.0/Multiplier for band width (or percent of WMA in Percent mode)
Scale MAD to σ/true/When MAD is selected, scale by √(π/2) so it aligns with σ
Display
• Show VWMA true
• Show TWMA true
• Show TrueWMA true
• Show VBands false
• Show TBands false
• Show TrueBands true
References:
1. TrueWMA Description
## 1. TrueWMA: Volatility-Weighted Price Averaging
What Is TrueWMA?
TrueWMA weights each bar’s TrueMid (TrueRange midpoint) by its TrueRange, so high-volatility bars carry more influence. It blends price level and volatility into one moving average
Pseudocode
// TWMA Example for Comparison
window_size = 50
OHLC = (Open + High + Low + Close) / 4
TWMA = MA(OHLC, window_size)
// VWMA Example for Comparison
window_size = 50
HLC3 = (High + Low + Close) / 3
VWMA = Sum(HLC3 * Volume, window_size) / Sum(Volume, window_size)
// TrueWMA (Rolling)
window_size = 50
max_val = Maximum(Close , High)
min_val = Minimum(Close , Low)
true_mid = (max_val + min_val) / 2
TrueWMA = Sum(true_mid * TrueRange, window_size) / Sum(TrueRange, window_size)
Interpretation
For each bar, Rolling TrueWMA:
• Computes a TrueMid (“contextual midpoint”) from the prior close and the current bar’s high/low.
• Weights each TrueMid by that bar’s TrueRange.
• Divides the sum of those weighted midpoints by the total TrueRange over the lookback window.
The result is a single series that dynamically blends price levels with recent volatility.
5min Table: Dark Up/Down - Supertrend, EMA50, VWAP5Min Table showing EMA 50, Supertrend(10,3) VWAP for Indices and Stocks.
PrismWAP (Anchored)# PrismWAP (Anchored)
Overview
PrismWAP plots three anchored weighted-average prices (VWAP, TWAP, TrueWAP) with dynamic volatility bands and a resettable anchor line. It helps you see key value levels since your chosen anchor period and gauge price excursions relative to volatility.
How It Works
On each new span (session, week, month, quarter, etc.), the indicator resets a base price from the first bar’s open. It computes anchored VWAP, TWAP, and TrueWAP cumulatively over the span. Volatility bands are drawn as ±multiplier × a span-length-weighted average of your chosen volatility measure (Std Dev, MAD, ATR-scaled, or Percent of WAP).
Inputs
Settings/Default/Description
Anchor Period/Quarter/Span for resetting WAP and anchor line (Week, Month, etc.)
Volatility Measure/Std Dev/Method for band width: SD, MAD, ATR (scaled), Percent of WAP
Volatility Spans/current+2/Number of spans (current + previous spans) used in volatility
Band Multiplier(or %)/3.0/Multiplier for band width (or Percent of WAP in Percent mode)
Scale MAD to σ/true/When MAD selected, scale by √(π/2) so it aligns with σ
Display
• Show Anchor Line true
• Show VWAP true
• Show TWAP true
• Show TrueWAP true
• Show VWAP Bands false
• Show TWAP Bands false
• Show TrueWAP Bands true
Tips & Use Cases
• Use shorter spans (Session, Week) for sub-daily bar intervals.
• Use longer spans (Quarter, Year) for daily bar intervals.
References:
1. TrueWAP Description
2. SD, MAD, ATR (scaled) weighted average volatility
## 1. TrueWAP: Volatility-Weighted Price Averaging
What Is TrueWAP?
TrueWAP plugs actual price fluctuations into your average. Instead of only tracking time (TWAP) or volume (VWAP), it weights each bar’s TrueRange midpoint by its TrueRange—so when the market moves more, that bar counts more.
TrueWAP (Anchored) Overview
• On the first bar, it uses the simple high-low midpoint for price and the bar’s high-low range for weighting.
• From the next bar onward, it computes TrueMid by averaging the TrueRange high (higher of prior close or current high) with the TrueRange low (lower of prior close or current low).
• Each TrueMid is weighted by its TrueRange and cumulatively summed from the anchor point.
Pseudocode
// TWAP Example for Comparison
current_days = BarsSince("start_of_period")
OHLC = (Open + High + Low + Close) / 4
TWAP = MA(OHLC, current_days)
// VWAP Example for Comparison
current_days = BarsSince("start_of_period")
HLC3 = (High + Low + Close) / 3
VWAP = Sum(HLC3 * Volume, current_days) / Sum(Volume, current_days)
// TrueWAP (Anchored)
current_days = BarsSince("start_of_period") // Count of bars since the period began
first_bar = (current_days == 0) // Boolean flag that is true if current bar is the first of period
hilo_mid = (High + Low) / 2 // For the first bar, use its simple high/low avg
max_val = max(Close , High) // For subsequent bars, TrueRange high
min_val = min(Close , Low) // For subsequent bars, TrueRange low
true_mid = (max_val + min_val) / 2 // True Range midpoint for subsequent bars
// Use hilo_mid and (High - Low) for the first bar; otherwise, use true_mid and True Range
mid_val = IF(first_bar, hilo_mid, true_mid)
range_val = IF(first_bar, (High - Low), TrueRange)
TrueWAP = Sum(mid_val * range_val, current_days) / Sum(range_val, current_days)
Recap: Interpretation
• The first bar uses the simple high-low midpoint and range.
• Subsequent bars use TrueMid and TrueRange based on prior close.
• This ensures the average reflects only the observed volatility and price since the anchor.
A Note on True Range
TrueRange captures the full extent of bar-to-bar volatility as the maximum of:
• High – Low
• |High – Previous Close|
• |Low – Previous Close|
## 2. Segmented Weighted-Average Volatility: A Fixed-Point Multi-Period Approach
### Introduction
Conventional standard deviation calculations aggregate data over an expanding window and rely on a single mean, producing one summary statistic. This can obscure segmented, sequential datasets—such as MTD, QTD, and YTD—where additional granularity and time-sensitive insights matter.
This methodology isolates standard deviation within defined time frames and then proportionally allocates them based on custom lookback criteria. The result is a dynamic, multi-period normalization benchmark that captures both emerging volatility and historical stability.
Note: While this example uses SD, the same fixed-point approach applies to MAD and ATR (scaled).
### 2.1 Standard Deviation (Rolling Window)
pseudocode
// -- STANDARD DEVIATION (ROLLING) Calculation --
window_size = 20
rolling_SD = STDDEV(Close, window_size)
• Ideal for immediate trading insights.
• Reflects pure, short-term price dynamics.
• Captures volatility using the most recent 20 trading days.
### 2.2 Blended SD: Current + 3 Past Periods
This method fuses current month data with the last three complete months.
pseudocode
// -- MULTI-PERIOD STANDARD DEVIATION (PROXY) with Three Past Periods --
current_days = BarsSince("start_of_month")
current_SD = STDDEV(Close, current_days)
prev1_days = TradingDaysLastMonth
prev1_SD = STDDEV_LastMonth(Close)
prev2_days = TradingDaysTwoMonthsAgo
prev2_SD = STDDEV_TwoMonthsAgo(Close)
prev3_days = TradingDaysThreeMonthsAgo
prev3_SD = STDDEV_ThreeMonthsAgo(Close)
// Blending with Proportional Weights
Weighted_SD = (current_SD * current_days +
prev1_SD * prev1_days +
prev2_SD * prev2_days +
prev3_SD * prev3_days) /
(current_days + prev1_days + prev2_days + prev3_days)
• Merges evolving volatility with the stability of three prior months.
• Weights each period by its trading days.
• Yields a robust normalization benchmark.
### 2.3 Blended SD: Current + 1 Past Period
This variant tempers emerging volatility by blending the current month with last month only.
pseudocode
// -- MULTI-PERIOD STANDARD DEVIATION (PROXY) with One Past Period --
current_days = BarsSince("start_of_month")
current_SD = STDDEV(Close, current_days)
prev1_days = TradingDaysLastMonth
prev1_SD = STDDEV_LastMonth(Close)
// Proportional Blend
Weighted_SD = (current_SD * current_days +
prev1_SD * prev1_days) /
(current_days + prev1_days)
• Anchors current volatility to last month’s baseline.
• Softens spikes by blending with historical data.
Conclusion
Segmented weighted-average volatility transforms global benchmarking by integrating immediate market dynamics with enduring historical context. This fixed-point approach—applicable to SD, MAD (scaled), and ATR (scaled)—delivers time-sensitive analysis.
MAD indicator buy and sellThe MAD (Moving Average Divergence) indicator is used in trading to identify potential buy and sell signals based on the divergence between moving averages.
**Buy Signal:**
- A buy signal is generated when the shorter-term moving average crosses above the longer-term moving average. This often indicates a potential upward momentum in the stock price.
**Sell Signal:**
- A sell signal occurs when the shorter-term moving average crosses below the longer-term moving average. This suggests that the stock may be losing momentum and could be headed for a decline.
Traders typically look for confirmation through additional signals or analysis to increase the reliability of these buy and sell points. Always remember to manage risk properly when making trading decisions!
TrendPilot AI v2 — Smart ATR Indicator with ZonesTrendPilot AI v2 is a smart price-action and ATR-based trading system designed for swing and position traders. It combines trend-following logic with adaptive price zones to help users identify high-probability Buy and Sell opportunities — along with intelligent re-entry points, weak signal detection, and visual structure zones.
🔧 Core Features:
✅ ATR-based Buy/Sell signals with confirmation logic
✅ Dynamic 99 EMA Channel for trend context
✅ Re-entry triangles for stacking or retracing setups
✅ 150 EMA Weak Signal Detection for early trend warnings
✅ 🧭 Price Action Zones (Premium, Equilibrium, Discount)
✅ Visual alerts via triangles, labels, and color-coded logic
✅ Designed for 15m, 1H, and 4H charts — also useful on Daily
🧠 How It Works (Logic Breakdown)
1️⃣ Trend Direction — EMA Channel Logic
A 99 EMA Channel determines the dominant market bias.
If price is above the channel → trend is Bullish → Buy signals are valid
If price is below the channel → trend is Bearish → Sell signals are valid
2️⃣ Buy/Sell Signals — ATR Trailing Logic
The system uses custom ATR trailing logic to detect when price momentum shifts.
When a breakout aligns with trend direction, a Buy or Sell label appears.
These are designed to capture the main trend leg or reversal zone.
3️⃣ Re-Entry Signals — Triangle Visual Cues
During a confirmed trend, if price retraces to the EMA channel, a small triangle is shown:
🔼 Green triangle: Buy re-entry during bullish trend
🔽 Red triangle: Sell re-entry during bearish trend
These are not new signals but continuation cues for advanced traders.
4️⃣ Weak Signal Detection — 150 EMA Logic
A secondary 150 EMA helps detect possible trend exhaustion.
If price dips below 150 EMA during a bullish run, an orange triangle appears (⚠️ caution).
If price rises above 150 EMA during a bearish run, a blue triangle appears.
This signals potential weakening of the active trend.
5️⃣ Price Zones — Premium, Equilibrium, Discount
TrendPilot AI v2 draws 3 smart price zones based on ATR & market structure:
🟥 Premium Zone (Top) → Overbought area, caution for long trades
🟨 Equilibrium Zone (Middle) → Fair value, consolidation possible
🟩 Discount Zone (Bottom) → Oversold, better long entries
These zones help filter signals and avoid entries in risky areas.
Example: Avoid Buy signals inside Premium zone.
🧪 Suggested Use:
✅ Timeframes: 15m / 1H / 4H / 1D
✅ Combine signals with zone analysis for optimal entries
✅ Use re-entry triangles to add or confirm during pullbacks
✅ Use weak signal warnings to tighten stops or manage risk
✅ Works best in trending environments or breakout markets
⚠️ Note for Users:
This script is not repainting. All signals are plotted with stable logic.
Past performance does not guarantee future results — always backtest first.
Script does not contain financial advice — use at your own discretion.
Smart SetupHelp to find out best entry and exit
Opening range breakout setup
Previous high low daily weekly monthly
Pivot point
Moving averages
9 EMA and 30 EMA CrossoverThe buy and sell indicator is designed to function effectively across all time frames. This flexibility allows traders to utilize it for various strategies, whether they are day trading, swing trading, or investing long-term
MPF EMA Leading Indicator - Invite OnlyThis indicator is mainly for education purpose.
It does not recommend any buy sell advise
MIGA Trader DNAMIGA Trader DNA is a composite indicator that integrates:
Trend Identification: Uses three exponential moving averages (fast, mid, slow) to determine market bias based on their order.
Momentum Filter: An adaptive RSI whose period automatically matches the fastest EMA highlights overbought or oversold conditions.
Entry Timing: A Stochastic %K crossover signals precise entry points when momentum aligns with trend direction.
Volatility Envelope: An optional, SuperTrend band adjusts dynamically to changing ATR-based volatility.
Visual Signals: Discrete “Buy” and “Sell” labels mark entry opportunities directly on the price chart when all conditions align.
Refined MA + Engulfing (Strategy-Equivalent Trigger)I would like to start by saying that this indicator was put together using ChatGPT, some past trades from myself and some backtested trades, and from my time as a student in Wallstreet Academy under Cue Banks.
I am not profitable yet. I am too jumpy and blow accounts. I'm hoping this indicator (and it's strategy twin), with the help of some alerts, can help me spend less time on the charts, so that I'm not tempted to press buttons as much.
It does fire quite a bit. It can be adjusted, I believe, to trigger more or less (open the script, cooldown bars(x) <== change the X to whatever. 5 minute intervals so 1 is 5.
With that being said, there are times that this indicator has shown to trigger and I ask, "Why?".
I just want to help myself and others, and maybe make some decent\cool stuff along the way. Enjoy
KR
Time Range Marker By BCB ElevateThe Time Range Marker is a simple yet powerful visual tool for traders who want to focus on specific time intervals within the trading day. This indicator highlights a custom time range on your chart using a background color, helping you visually isolate key trading sessions or event windows such as:
Market open/close hours
News release periods
High-volatility trading zones
Personal strategy testing windows
⚙️ Key Features:
Customizable start and end time (hour & minute)
Works across all intraday timeframes
Adjustable highlight color to match your chart theme
Built using Pine Script v5 for speed and flexibility
🔧 Settings:
Start Hour / Minute – Set the beginning of the time range (in 24-hour format)
End Hour / Minute – Define when the range ends
Highlight Color – Choose the background color for better visibility
🕒 Timezone Note:
The indicator uses UTC time by default to ensure accuracy across markets. If your broker uses a different timezone (like EST, IST, etc.), the script can be adjusted to reflect your local market hours.
✅ How to Use the Time Range Marker Indicator
This indicator is used to visually highlight a specific time window each trading day, such as:
Market open or close sessions (e.g., NYSE, London, Tokyo)
High-impact news release periods
Custom time slots for strategy testing or scalping
🛠️ Installation Steps
Open TradingView and go to any chart.
Click on Pine Editor at the bottom of the screen.
Copy and paste the full Pine Script (shared above) into the editor.
Click the “Add to Chart” ▶️ button.
The indicator will appear on the chart with a highlighted background during the time range you set.
⚙️ How to Customize the Time Range
After adding the indicator:
Click the gear icon ⚙️ next to the indicator’s name on the chart.
Adjust the following settings:
Start Hour / Start Minute: The beginning of your time range (in 24-hour format).
End Hour / End Minute: When the highlight should stop.
Highlight Color: Pick a color and transparency for visual clarity.
Click OK to apply changes.
🕒 Timezone Consideration
By default, the indicator uses UTC (Coordinated Universal Time).
To match your broker’s timezone (e.g., EST, IST, etc.), you'll need to adjust the script by changing:
sessStart = timestamp("Etc/UTC", ...)
sessEnd = timestamp("Etc/UTC", ...)
to your correct timezone, like "Asia/Kolkata" for IST or "America/New_York" for EST.
Let me know your broker or local timezone, and I’ll update it for you.
📈 Tips for Traders
Combine this with volume, price action, or breakout indicators to focus your strategy on high-probability time windows.
Use multiple versions of this script if you want to highlight more than one time range in a day.
FxSika SuperTrend ZoneThe FxSika SuperTrend Zone™ is a dynamic zone-based indicator that enhances the traditional SuperTrend concept by displaying two key structural layers:
Primary Trend Line: The main directional guide, calculated using ATR and a volatility multiplier.
Reaction Band: A secondary buffer area around the trend line, derived from an ATR extension. It helps visualize zones where price is likely to react or pause during pullbacks.
The indicator also includes an optional Long-Term Trend Layer, calculated with higher values for both ATR length and multiplier. This broader trend context can be toggled on or off via the settings.
How it works:
Zones adjust automatically based on trend direction.
Green zones represent bearish conditions (potential buy interest).
Red zones represent bullish conditions (potential sell interest).
Clear lines and shaded areas make key levels easy to spot.
Extra features:
Multiple alert options for zone interactions and trend shifts.
Lightweight, visually clean design for easy chart integration.
Fully adjustable parameters for ATR, multiplier, and zone width.
This indicator helps identify high-probability reaction zones during trending markets, especially when combined with price action or confirmation-based setups.
Step-OMA with SignalsThe Step-OMA with Signals is a sophisticated trend-following indicator that combines Loxx's Optimized Moving Average (OMA) algorithm with an advanced step function to create a highly responsive yet smooth trend detection system. This indicator excels at identifying trend changes early while minimizing false signals through its adaptive filtering mechanism.
Core Algorithm Components
1. Optimized Moving Average (OMA) Foundation
Based on Loxx's advanced OMA implementation
Uses a 6-stage exponential smoothing process
Incorporates adaptive period calculation based on market noise
Employs Jurik-style smoothing techniques for superior signal quality
2. Step Function Integration
Implements a step-based trend detection mechanism
Uses ATR-based dynamic threshold calculation
Maintains trend consistency through threshold memory
Provides clear trend change identification
3. Adaptive Noise Filtering
Automatically adjusts to market volatility
Calculates optimal averaging periods based on price noise
Reduces false signals in choppy market conditions
Speed (Default: 3.0, Range: -1.5 to unlimited)
This is the most critical parameter affecting indicator behavior:
Positive Speed Values (0 to 10.0+):
Creates faster, more responsive signals
Higher values increase sensitivity to recent price action
Negative Speed Values (-1.5 to -0.1):
Produces smoother, more conservative signals
Reduces noise and false breakouts
Creates delayed but more reliable trend confirmations
Adaptive (Default: True)
When enabled: Automatically adjusts averaging period based on market noise
When disabled: Uses fixed length parameter
Recommendation: Keep enabled for most market conditions
Sensitivity Factor (Default: 3.0)
Controls the threshold distance for trend change detection
Lower values: More frequent signals, higher sensitivity
Higher values: Fewer but more reliable signals
Optimal range: 2.0-5.0 depending on market volatility
Step Size Period (Default: 50)
Determines the ATR calculation period for dynamic thresholds
Affects the indicator's adaptation to volatility changes
Lower values: More reactive to recent volatility
Higher values: More stable threshold calculation
For a trading application, Step-OMA is a suitable base filter to complement other types of signaling indicators (oscillators, momentum indicators).
Disclaimer: This indicator is a technical analysis tool and should be used in conjunction with proper risk management and comprehensive market analysis. Past performance does not guarantee future results.
