🚀 Hopefully 🤲🏻It’s a simple yet effective indicator. Its power level is high. Its secret lays in its dynamics. Simply “BUY’ when you see green triangle & "SELL" when you see red triangle 🔺. Do your own due diligence and remember to always be disciplined and focused 🧘
Happy trading to you all ☮️
Indicators and strategies
The Kyber Cell's – TTM Wave BKyber Cell’s Wave B – TTM Squeeze Trend Confirmation Histogram
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1. Introduction
Wave B acts as the trend validator in the TTM Squeeze suite. While Wave A reveals the heartbeat of momentum, Wave B focuses on the directional stability of price. It answers a critical question for traders: Is the trend in my favor, or am I trading against the dominant force?
Built for confirming entries and filtering out low-probability setups, Kyber Cell’s Wave B applies a smoother, more deliberate view of trend structure using configurable moving average logic. This makes it ideal for preventing false starts and improving trade alignment — particularly in combination with Wave A and squeeze-fire signals.
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2. Core Concept and Calculation
Unlike Wave A, which tracks short-term price bursts, Wave B focuses on trend direction and consistency. It typically derives its signal from one of two engines:
• EMA-Based Method: Compares short-term EMA (e.g., 8) to a longer EMA (e.g., 21) to determine directional bias.
• HMA-Based Method: Measures slope and crossover behavior between fast and slow Hull Moving Averages (e.g., HMA 34 and HMA 144) for a smoother trend read.
These calculations produce a histogram that doesn’t fluctuate rapidly like Wave A, but instead stabilizes around sustained trend strength. As such, Wave B excels at confirming whether a move has backing from the broader market structure.
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3. Visual Output and Color Logic
Wave B uses a 3-color histogram to clearly define trend state:
• Bright Blue: Bullish trend
• Bright Red: Bearish trend
• Gray: Neutral or transitioning state (indecision)
This simplified color scheme helps traders avoid information overload and focus on whether the market is structurally aligned for long or short entries.
• When paired with a squeeze-fire and rising Wave A, a blue Wave B bar signals strong confirmation to go long.
• Conversely, a red Wave B bar during a squeeze-fire and falling Wave A confirms bearish setups.
• A gray bar typically signals trend conflict, indecision, or transitional environments — and should be treated as a caution flag.
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4. Ideal Use Case
Wave B is best used as a filter and confirmation layer in your trading workflow:
1. Identify a squeeze setup (using Squeeze Pro or dots indicator).
2. Confirm with Wave A: Look for a fresh momentum push (cyan or red bars).
3. Validate with Wave B:
• Only take long trades when Wave B is blue.
• Only take short trades when Wave B is red.
• Avoid or delay trades when Wave B is gray.
4. Ride the trend until Wave B flips or Wave A fades.
This reduces emotional decision-making and keeps your trades aligned with the prevailing bias, especially on higher timeframes or in choppy conditions.
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5. Configuration and Customization
Wave B is designed with enough flexibility to adapt to different trading styles while remaining streamlined:
• Trend Engine Selection: Choose between EMA-based or HMA-based logic.
• Moving Average Lengths: Customize the short- and long-term periods.
• Color Customization: Adjust bar colors to match your chart theme or visibility needs.
• Bar Thickness and Positioning: Optional visual tweaks depending on your chart layout.
The goal is to provide just enough configurability to integrate seamlessly with Wave A and Squeeze Pro, without diluting the core purpose: trend clarity.
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6. Alerts and Add-ons
Wave B can be extended with basic or advanced alerts, depending on your needs:
• Alert on trend flips (blue → red or red → blue)
• Alert on return to neutral (gray bars)
• Combined alerts with squeeze and momentum signals for high-confluence trades
When integrated with other components, Wave B becomes an essential part of a multi-layered confirmation system.
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7. Disclaimer
This indicator is provided for educational purposes only and is not financial advice. No trading decision should be made solely on the basis of this tool. All users should test their strategies, assess their own risk tolerance, and consider using Wave B as part of a broader technical framework.
Breaker Blocks with Signals + Dynamic 5-Day SMA FilterBased on Lux Algos Script with a dynamic 5d SMA which filters out trades that are not in line with the local HTF trend.
Daily Moving Average to Intraday ChartPlaces 200D, 100D, 50D SMAs as well as the 20D EMA onto intraday charts. (Script v6)
Multi-Timeframe 200 SMA OverlayMulti Timeframe 200 SMAs
Indicator Displays and labels on anytime frame:
2 minute 200 SMA
5 minute 200 SMA
10 minute 200 SMA
15 minute 200 SMA
1 Hour 200 SMA
4 Hour 200 SMA
1 Day 200 SMA
🔔 NIFTY 100+ Points Early Move Signal (1H)//@version=5
indicator("🔔 NIFTY 100+ Points Early Move Signal (1H)", overlay=true)
// === Inputs === //
squeezePeriod = input.int(20, title="Price Squeeze Lookback")
rangeTrigger = input.float(100.0, title="Target Move (in Points)")
rsiLength = input.int(14, title="RSI Length")
macdFast = input.int(12)
macdSlow = input.int(26)
macdSignal = input.int(9)
volMultiplier = input.float(1.5, title="Volume Spike Multiplier")
// === RSI & MACD === //
rsi = ta.rsi(close, rsiLength)
= ta.macd(close, macdFast, macdSlow, macdSignal)
macdBullish = macdLine > signalLine
macdBearish = macdLine < signalLine
// === Price Compression === //
hh = ta.highest(high, squeezePeriod)
ll = ta.lowest(low, squeezePeriod)
compressionRange = hh - ll
tightCompression = compressionRange < (rangeTrigger * 0.6) // Pre-expansion
// === Volume Spike === //
avgVol = ta.sma(volume, 20)
volSpike = volume > avgVol * volMultiplier
// === Early Signal Logic === //
bullSetup = tightCompression and rsi > 50 and macdBullish and volSpike
bearSetup = tightCompression and rsi < 50 and macdBearish and volSpike
// === Plotting Signals === //
plotshape(bullSetup, title="Bullish Setup", location=location.belowbar, color=color.green, style=shape.labelup, text="100↑")
plotshape(bearSetup, title="Bearish Setup", location=location.abovebar, color=color.red, style=shape.labeldown, text="100↓")
bgcolor(bullSetup ? color.new(color.green, 85) : na)
bgcolor(bearSetup ? color.new(color.red, 85) : na)
// === Alerts === //
alertcondition(bullSetup, title="Bullish 100pt Setup", message="🚀 NIFTY: 100+ point UP move likely!")
alertcondition(bearSetup, title="Bearish 100pt Setup", message="🔻 NIFTY: 100+ point DOWN move likely!")
Quarterly Earnings
Easy to access fundamentals of a company on the chart.
EPS and Sales data of post quarters
فلتر فني كامل - تنبيه بيع وشراء//@version=5
indicator("فلتر فني كامل - تنبيه بيع وشراء", overlay=true)
// إعدادات المتوسطات
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
// مؤشر القوة النسبية RSI
rsi = ta.rsi(close, 14)
// MACD
= ta.macd(close, 12, 26, 9)
// شمعة مؤسسية: جسم كبير + فوليوم مرتفع
body = math.abs(close - open)
isBigCandle = body > ta.sma(body, 10)
volumeCondition = volume > ta.sma(volume, 20)
// شروط شراء
buyCond = close > ema50 and ema50 > ema200 and rsi < 30 and macdLine > signalLine and isBigCandle and volumeCondition
// شروط بيع
sellCond = close < ema50 and ema50 < ema200 and rsi > 70 and macdLine < signalLine and isBigCandle and volumeCondition
// رسم إشارات على الشارت
plotshape(buyCond, title="إشارة شراء", location=location.belowbar, color=color.green, style=shape.labelup, text="شراء")
plotshape(sellCond, title="إشارة بيع", location=location.abovebar, color=color.red, style=shape.labeldown, text="بيع")
// التنبيه
alertcondition(buyCond, title="تنبيه شراء", message="إشارة شراء حسب الفلتر الفني")
alertcondition(sellCond, title="تنبيه بيع", message="إشارة بيع حسب الفلتر الفني")
CBC scalping indicator SonGohanscript using the cbc flip scalping method.
this is best used on the shorten timeframes (like 2, 5, 10 minutes)
PSX OBV Divergence Labels (1D)PSX OBV Divergence Labels (1D)
This indicator highlights bullish and bearish OBV (On-Balance Volume) divergences on the price chart, specifically designed for daily timeframe swing trading in PSX (Pakistan Stock Exchange) stocks.
🟢 Green triangle (Bullish Divergence) appears when price makes a new low but OBV does not — suggesting accumulation and potential reversal.
🔴 Red triangle (Bearish Divergence) appears when price makes a new high but OBV does not — indicating weakening momentum and possible distribution.
Volume spike filtering is included to increase reliability. No trade signals or exits — this is a pure visual divergence tool to support manual decision-making. Ideal for spotting shifts in volume pressure ahead of price reversals.
Bitcoin Stock-to-Flow Model Price Bands# Bitcoin Stock-to-Flow Model Price Bands
Overview
This indicator implements the famous Stock-to-Flow (S2F) model created by PlanB (@100trillionUSD), which uses Bitcoin's scarcity to predict its long-term value. The S2F model has gained significant attention for its historical accuracy in capturing Bitcoin's price movements across multiple market cycles.
What is Stock-to-Flow?
Stock-to-Flow is a ratio that measures scarcity by dividing the current supply (stock) by the annual production (flow). The model suggests that as Bitcoin becomes scarcer through halving events, its value should increase proportionally.
This indicator features:
Dynamic S2F Calculation
- Automatically calculates Bitcoin's current supply based on block height
- Adjusts for halving events (every 210,000 blocks)
- Updates the S2F ratio in real-time
Visual Elements
- Orange Line: S2F model price based on the formula: Price = 0.4 × S2F³
- Confidence Bands: Upper (red) and lower (green) bands showing expected price ranges
- Colored Candles: Green when above model price, red when below
- Info Table: Displays current S2F ratio, model price, actual price, and price multiple
Customizable Parameters
- Model Coefficient: Adjust the multiplier (default: 0.4)
- Model Exponent: Modify the power factor (default: 3.0)
- Band Width: Control confidence band spread (1-5 standard deviations)
- Display Options: Toggle individual elements on/off
Built-in Alerts
- Price crossing above/below S2F model price
- Price exceeding upper/lower confidence bands
How to Use
1. Trend Identification: When price is above the orange S2F line, Bitcoin may be overvalued; below suggests undervaluation
2. Cycle Analysis: The model steps up at each halving, creating distinct price "floors"
3. Risk Management: Use confidence bands to identify extreme deviations from the model
4. Long-term Perspective: Best suited for macro analysis rather than short-term trading
Important to understand:
This is a model, not a guarantee. The S2F model:
- Assumes scarcity is the primary driver of value
- Doesn't account for demand-side factors
- Has shown deviations during certain market conditions
- Should be used alongside other analysis methods
Model Performance
Historically, the S2F model has captured major Bitcoin price movements:
- 2013 Bull Run: Price followed model predictions
- 2017 Peak: Reached model targets
- 2021 Cycle: Initially tracked, then deviated
- 2024-2025: Model suggests $500k-$1M potential
Technical Details
- Uses logarithmic regression similar to the original S2F model
- Accounts for "lost" coins (est. 1M BTC from early mining)
- Implements dynamic supply calculation through halving cycles
- Confidence bands use log-normal distribution
Best Timeframes
- Weekly/Monthly: Ideal for long-term trend analysis
Credits
Based on the Stock-to-Flow model by PlanB (@100trillionUSD)
Original article: "Modeling Bitcoin's Value with Scarcity" (2019)
Momentum BandsMomentum Bands indicator-->technical tool that measures the rate of price change and surrounds this momentum with adaptive bands to highlight overbought and oversold zones. Unlike Bollinger Bands, which track price, these bands track momentum itself, offering a unique view of market strength and exhaustion points. At its core, it features a blue momentum line that calculates the rate of change over a set period, an upper red band marking dynamic resistance created by adding standard deviations to the momentum average, a lower green band marking dynamic support by subtracting standard deviations, and a gray middle line representing the average of momentum as a central anchor. When the momentum line touches or moves beyond the upper red band, it often signals that the market may be overbought and a pullback or reversal could follow; traders might lock in profits or watch for short setups. Conversely, when it drops below the lower green band, it can suggest an oversold market primed for a bounce, prompting traders to look for buying opportunities. If momentum remains between the bands, it typically indicates balanced conditions where waiting for stronger signals at the extremes is wise. The indicator can be used in contrarian strategies—buying near the lower band and selling near the upper—or in trend-following setups by waiting for momentum to return toward the centerline before entering trades. For stronger confirmation, traders often combine it with volume spikes, support and resistance analysis, or other trend tools, and it’s useful to check multiple timeframes to spot consistent patterns. Recommended settings vary: short-term traders might use a 7–10 period momentum with 14-period bands; medium-term traders might keep the default 14-period momentum and 20-period bands; while long-term analysis might use 21-period momentum and 50-period bands. Visually, background colors help spot extremes: red for strong overbought, green for strong oversold, and no color for normal markets, alongside reference lines at 70, 30, and 0 to guide traditional overbought, oversold, and neutral zones. Typical bullish signals include momentum rebounding from the lower band, crossing back above the middle after being oversold, or showing divergence where price makes new lows but momentum doesn’t. Bearish signals might appear when momentum hits the upper band and weakens, drops below the middle after being overbought, or price makes new highs while momentum fails to follow. The indicator tends to work best in mean-reverting or sideways markets rather than strong trends, where overbought and oversold conditions tend to repeat.
Tageszeit Linien# Custom Time Lines Indicator
**Customizable vertical time markers for precise session tracking**
This Pine Script indicator draws up to three customizable vertical lines at specific times during the trading day, perfect for marking important market sessions, news events, or personal trading schedules.
## Features
- **Three Independent Time Lines**: Each line can be set to any hour and minute
- **Fully Customizable Times**: Set exact times (hours 0-23, minutes 0-59)
- **Individual Colors**: Each line has its own color setting
- **CET/MEZ Timezone**: All times are calculated in Central European Time
- **Adjustable Line Width**: Line thickness from 1-3 pixels
- **Full Chart Extension**: Lines extend across the entire chart height
- **Clean Design**: No price level markers, just clean time divisions
## Default Settings
- **Line 1**: 00:00 CET (Midnight) - Gray
- **Line 2**: 09:00 CET (European Market Open) - Green
- **Line 3**: 15:30 CET (US Market Open) - Red
## Customization Options
Each line can be individually configured:
- **Hour Setting**: 0-23 (24-hour format)
- **Minute Setting**: 0-59
- **Color**: Any color for each line
- **Line Width**: 1-3 pixel thickness
## Usage Examples
Perfect for traders who want to mark:
- Market opening/closing times
- News release schedules
- Personal trading sessions
- Economic calendar events
- Custom time-based strategies
- Multi-timezone trading schedules
## How to Use
1. Add the indicator to your chart
2. Open indicator settings
3. Set your desired times for each line (hour and minute)
4. Choose colors that match your chart theme
5. Adjust line width as needed
All times are automatically converted to CET/MEZ timezone for consistent European trading hours.
TBMC CloudsTBMC Clouds translates the Triple Banded Momentum Cloud (TBMC) into a normalized, non-overlay format, plotting the relationship between your base, trend, and signal moving averages in units of standard deviations. This reveals how far each element diverges from its context — not just in price, but in volatility-adjusted terms.
Trend Cloud: (Trend MA − Base MA) / stdev of Base
Signal Cloud: (Signal MA − Trend MA) / stdev of Trend
Close Line: (Price − Signal MA) / stdev of Signal
Each component is normalized by its own timeframe’s standard deviation, making this chart ideal for comparing momentum intensity and trend distance across multiple horizons. Horizontal bands at configurable thresholds (e.g., ±1, ±2, ±3 stdev) act as reference levels for extension, mean reversion, or volatility breakout logic.
Bitcoin Power Law ModelBitcoin Power Law Model with Cycle Predictions
Scientific Price Modeling for Bitcoin
This indicator implements **Dr. Giovanni Santostasi's Bitcoin Power Law Theory** - a discovery that Bitcoin's price follows mathematical laws similar to natural phenomena. Unlike traditional financial models, this treats Bitcoin as a scale-invariant system that grows predictably over time.
What Makes This Special
Dr. Santostasi, an astrophysicist who studied gravitational waves, discovered that Bitcoin's price forms a perfect straight line when plotted on a log-log scale over its entire 15-year history. This isn't just another technical indicator - it's a fundamental law that has held true through multiple 80%+ crashes and recoveries.
Core Features
Power Law Model
- Orange Line: The power law trajectory showing Bitcoin's long-term growth path
- Yellow Line: Fair value (geometric mean between support and resistance)
- Green/Red Bands: Support and resistance levels that have historically contained price movements
- Band Position %: Shows exactly where price sits within the power law channel (0-100%)
How to Use It
For Long-term Investors
1. Accumulate when price is near the green support line (band position < 20%)
2. Hold when price is between the bands
3. Consider profits when approaching red resistance (band position > 80%)
4. Never panic - the model shows $30K+ is now the permanent floor
Key Metrics to Watch
- **Band Position: <20% = Oversold, >80% = Overbought
- Fair Value: Price above = Overvalued, below = Undervalued
- Support Line: Breaking below suggests model invalidation
Current Cycle Projections
Based on the November 2022 bottom at ~$15,500:
- Cycle Peak: ~$155,000-$230,000 (October 2025)
- Next Bottom: ~$70,000-$100,000 (October 2026)
- Long-term: $1 million by 2033 (power law projection)
Customizable Settings
Model Parameters
- Intercept & Slope: Fine-tune the power law formula
- Band Offsets: Adjust support/resistance distances
Display Options
- Toggle each visual element on/off
- Show/hide future projections
- Enable/disable cycle analysis
- Customize halving markers
Understanding the Math
The model uses the formula: **Price = 10^(A + B × log10(days since genesis))**
Where:
- A = -17.01 (intercept)
- B = 5.82 (slope)
- Days counted from Bitcoin's genesis block (Jan 3, 2009)
This creates parallel support/resistance lines in log-log space that have contained Bitcoin's price for 15+ years.
Important
1.Not Financial Advice: This is a mathematical model, not a guarantee
2. Long-term Focus: Best suited for macro analysis, not day trading
3. Model Limitations: Past performance doesn't ensure future results
4. Volatility Expected: 50-80% drawdowns are normal within the model
Background
Dr. Giovanni Santostasi discovered this model while analyzing Bitcoin through the lens of physics. He found that Bitcoin behaves more like a city or organism than a financial asset, growing according to universal power laws found throughout
ATR Circle PlotTitle: ATR Circle Plot
Short Title: ATR Circle Plot
Description:
ATR Circle Plot is a dynamic overlay indicator that visualizes volatility-based levels around the open price of each bar, using the Average True Range (ATR). It plots two customizable levels—Upper and Lower ATR—calculated by multiplying the ATR by a user-defined factor (default: 1.0) and adding/subtracting it from the open price. These levels are displayed as colored circles on the chart, ideal for identifying potential breakout or stop-loss zones. A movable table summarizes the ATR value, Upper Level, and Lower Level with tick precision, and a new toggleable label feature displays these values directly on the chart for quick reference.
Perfect for traders in volatile markets like forex, futures, or stocks, this indicator helps set risk parameters or spot key price levels. Users can adjust the ATR timeframe, length, multiplier, table position, and circle colors to suit their strategy. The optional chart labels enhance usability by overlaying ATR metrics at the latest price levels, reducing the need to check the table during fast-moving markets.
Key Features:
Plots Upper and Lower ATR levels as colored circles around the open price.
Toggleable table (top/bottom, left/right) showing ATR and level values in ticks.
Optional chart labels for ATR, Upper, and Lower levels, toggleable via input.
Customizable ATR length, multiplier, timeframe, and colors for flexibility.
Lightweight and compatible with any chart timeframe.
How to Use:
Add the indicator to your chart and adjust the ATR length, multiplier, and timeframe as needed. Enable/disable the table or labels based on your preference. Use the Upper and Lower ATR levels as dynamic support/resistance or stop-loss guides. For example, place stops beyond the Upper/Lower levels or target breakouts when price crosses them. Combine with trend or momentum indicators for a robust setup.
Note: Leave the ATR Timeframe input empty to use the chart’s timeframe, or specify a higher timeframe (e.g., “D” for daily) for broader volatility context. Ensure your chart’s tick size aligns with the asset for accurate table values.
Tags: ATR, volatility, support resistance, stop loss, table, labels, breakout
Category: Volatility
Force Acheteurs vs VendeursRSI Money Flow and Obv. Working like an RSI so above 70 it's buyers who control the flow and below 30 it's the seller.
Envelope Momentum CloudEnvelope Momentum Cloud (EMC) is a momentum visualization tool using moving averages and fixed-percentage envelopes. It compares an EMA (fast) to an SMA (slow), with static envelopes around the SMA to create momentum thresholds.
SMA anchors the trend baseline.
EMA highlights momentum shifts relative to the SMA.
Envelopes are placed at a user-defined % above and below the SMA.
Momentum Cloud visually fills the gap between EMA and SMA to show directional pressure.
Crosses beyond the envelope boundaries can indicate overextended moves or possible trend shifts.
% / ATR Buy, Target, Stop + Overlay & P/L% / ATR Buy, Target, Stop + Overlay & P/L
This tool combines volatility‑based and fixed‑percentage trade planning into a single, on‑chart overlay—with built‑in profit‑and‑loss estimates. Toggle between ATR or percentage modes, plot your Buy, Target and Stop levels, and see the dollar gain or loss for a specified position size—all in one interactive table and chart display.
NOTE: To activate plotted lines, price labels, P/L rows and table values, enter a Buy Price greater than zero.
What It Does
Mode Toggle: Choose between “ATR” (volatility‑based) or “%” (fixed‑percentage) calculations.
Buy Price Input: Manually enter your entry price.
ATR Mode:
Target = Buy + (ATR × Target Multiplier)
Stop = Buy − (ATR × Stop Multiplier)
Percentage Mode:
Target = Buy × (1 + Target % / 100)
Stop = Buy × (1 – Stop % / 100)
P/L Estimates: Specify a dollar amount to “invest” at your Buy price, and the script calculates:
Gain ($): Profit if Target is hit
Loss ($): Cost if Stop is hit
Visual Overlay: Draws horizontal lines for Buy, Target and Stop, with optional price labels on the chart scale.
Interactive Table: Displays Buy, Target, Stop, ATR/timeframe info (in ATR mode), percentages (in % mode), and P/L rows.
Customization Options
Line Settings:
Choose color, style (solid/dashed/dotted), and width for Buy, Target, Stop lines.
Extend lines rightward only or in both directions.
Table Settings:
Position the table (top/bottom × left/right).
Toggle individual rows: Buy Price; Target (multiplier or %); Stop (multiplier or %); Target ATR %; Stop ATR %; ATR Time Frame; ATR Value; Gain ($); Loss ($).
Customize text colors for each row and background transparency.
General Inputs:
ATR length and optional ATR timeframe override (e.g. use daily ATR on an intraday chart).
Target/Stop multipliers or percentages.
Dollar Amount for P/L calculations.
How to Use It for Trading
Plan Your Entry: Enter your intended Buy Price and position size (dollar amount).
Select Mode: Toggle between ATR or % mode depending on whether you prefer volatility‑based or fixed offsets.
Assess R:R and P/L: Instantly see your Target, Stop levels, and potential profit or loss in dollars.
Visual Reference: Lines and price labels update in real time as you tweak inputs—ideal for live trading, backtesting or trade journaling.
Ideal For
Traders who want both volatility‑based and percentage‑based exit options in one tool
Those who need on‑chart P/L estimates based on position size
Swing and intraday traders focused on objective, rule‑based trade management
Anyone who uses ATR for adaptive stops/targets or fixed percentages for simpler exits
MA Deviation Indicator# MA Deviation Indicator (MADI)
A TradingView indicator designed to visualize price deviation from moving averages and help identify optimal entry and exit points.
## Overview
This indicator measures how much the current price deviates from its moving average and provides the following features:
- Moving average line display
- Configurable deviation rate levels
- Signal display based on deviation rates
- Real-time deviation rate calculation
## Key Features
### 1. Moving Average Display
- Choose between **EMA (Exponential Moving Average)** or **SMA (Simple Moving Average)**
- Default period: 21
- Displayed as an aqua-colored line
### 2. Deviation Rate Levels
- **Level 1 (Default 0.7%)**: Light gray lines
- **Level 2 (Default 2.0%)**: Dark gray lines
- Displayed symmetrically above and below the moving average
### 3. Deviation Rate Signals
- **Red triangles**: Within 0.7% deviation (optimal range)
- **Orange triangles**: 0.7%-2.0% deviation (caution range)
- Displayed as small triangles at the top of the chart
## Configuration Parameters
### Moving Average Settings
| Parameter | Default Value | Description |
|-----------|---------------|-------------|
| Moving Average Period | 21 | Calculation period for moving average (1-200) |
| Moving Average Type | EMA | Type of moving average (EMA/SMA) |
### Deviation Rate Settings
| Parameter | Default Value | Description |
|-----------|---------------|-------------|
| Deviation Rate 1 (%) | 0.7 | First deviation rate level (0.1-10.0%) |
| Deviation Rate 2 (%) | 2.0 | Second deviation rate level (0.1-10.0%) |
### Display Settings
| Parameter | Default Value | Description |
|-----------|---------------|-------------|
| Show Moving Average Line | true | Show/hide moving average line |
| Show Deviation Rate Signals | false | Show/hide deviation rate signals |
| Show Deviation Rate Levels | true | Show/hide deviation rate level lines |
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**Disclaimer**: This indicator is not investment advice. In actual trading, combine multiple indicators and implement proper risk management.
Time CyclesThese are ICT market time cycles based on the idea that London starts at 3:30am (EST) and continues until 7am. NYAM is then from 7am-11:30am. NYPM from 11:30-4pm. Each of these sessions is broken into 90minute cycles which are also broken into 30minute cycles.