Price Difference CheckThis code calculates the difference between the highest and lowest values of the current candle, and if this difference is equal to or greater than the percentage value set in the settings, it displays a marker on the chart. Additionally, it shows the difference as a line on the chart.
Indicators and strategies
Price Difference CheckThis code calculates the difference between the highest and lowest values of the current candle, and if this difference is equal to or greater than the percentage value set in the settings, it displays a marker on the chart. Additionally, it shows the difference as a line on the chart.
NASDAQ 100 Top 6 Average TrendTakes the average of the top 6 Nasdaq 100, AAPL, MSFT, GOOGL, AMZN, NVDA, META.. If the average is moving down the red indicator will show its a downward sellers market. If the average is moving up is an upward buyers market. Use the higher moving average to work with smaller time frames.
Percentage ATRThis script:
Calculates regular ATR over your chosen period
Converts it to a percentage by dividing by current price and multiplying by 100
Plots both the percentage ATR and optionally its moving average
Includes optional reference lines for common volatility levels
FT_SuperTrendLibLibrary "FT_SuperTrendLib"
calculateSuperTrend(atrPeriod, atrMultiplier)
Parameters:
atrPeriod (simple int)
atrMultiplier (float)
getSuperTrendSignals(trend, prevTrend)
Parameters:
trend (int)
prevTrend (int)
FT_RMITrendLibLibrary "FT_RMITrendLib"
calculateRMI(length)
Parameters:
length (simple int)
getRMITrendState(rsi_mfi, prevRsiMfi, pmom, nmom)
Parameters:
rsi_mfi (float)
prevRsiMfi (float)
pmom (float)
nmom (float)
5-Min Gainers & Sellers with Keltner/Bollinger BreakoutsI tried to create a 5 minute scalping script that also uses the Kelner Channels but set at the Bollinger 20 internals which should show the sqeeze as well as at leave 1% gain during the 5 minute period
Triple Trend Indicator [BigBeluga]Triple Trend Indicator is a versatile trend-following tool designed to help traders identify trend strength and potential pullback levels using a three-band system. Each band represents a varying degree of price deviation from the mean, providing progressively stronger trend signals.
🔵 Key Features:
Three Adaptive Bands:
The indicator dynamically calculates three bands (1, 2, and 3) based on moving averages (SMA, EMA, WMA) and ATR multipliers.
Bands are positioned below the price in an uptrend and above the price in a downtrend, offering clear trend direction visualization.
Signal System:
Signals are generated when price interacts with the bands:
Signal 1: Triggered when the price touches Band 1, indicating a minor pullback within the trend.
Signal 2: Triggered at Band 2, showing a stronger price deviation and trend confirmation.
Signal 3: Triggered at Band 3, representing the most significant price deviation and strongest trend signal.
The further the price deviates from the mean, the stronger the trend signal, with Signal 3 being the most robust.
Color-Coded Bands:
Bands dynamically change color based on the trend direction:
Green bands signify an uptrend.
Brown bands signify a downtrend.
Dynamic Trend Line Changes:
Dashed lines highlight trend changes, helping traders visualize key turning points in the market.
🔵 Usage:
Use the bands to identify trend direction and strength.
Monitor the signal system to assess the level of price deviation and potential pullback strength.
Combine Signal 1, 2, and 3 to confirm trend momentum:
Signal 1 suggests a weaker pullback and continuation.
Signal 2 indicates a stronger trend confirmation.
Signal 3 highlights the strongest momentum and potential exhaustion points.
Utilize the color-coded bands for an intuitive understanding of current market conditions.
The Triple Trend Indicator is an ideal tool for trend traders looking for structured signals and dynamic support and resistance levels to optimize entries and exits.
Naked POCs and VAsThis powerful indicator is designed for traders who want to track the Value Area (VA) and Point of Control (POC) across different timeframes and trading sessions.
Features:
✔ VA and POC for multiple timeframes:
Daily Value Area (VA) and Point of Control (POC)
Weekly VA and POC
Monthly VA and POC
Previous values for the abuve-mentioned timeframes
✔ POC for trading sessions:
Asian session
European session
US session
Visual representation of sessions with color-coded zones
✔ Naked POCs (Untested POCs) Identification:
The indicator marks POC levels that have not been retested after their formation
Customizable markings for better visibility
✔ Intuitive Visualization:
Dynamic VA and POC lines updating in real-time
Option to enable/disable individual timeframes and sessions
Color-coded elements for easy interpretation
✔ Optimized for Performance:
Lightweight script that does not slow down the platform
Compatible with all asset classes (Forex, Stocks, Futures, Crypto)
This indicator is an essential tool for analyzing market structure and supply/demand dynamics, allowing traders to make informed decisions based on historical VA and POC levels.
Refined Trend and Consolidation with MACD, RSI, OBV, and VolumeWe are implementing a trend analysis system using multiple technical indicators to determine the market state. We calculate two Simple Moving Averages (SMA 9 and SMA 21), the Relative Strength Index (RSI), the On-Balance Volume (OBV), and the MACD. Based on these indicators, we classify the market into three states: uptrend, downtrend, or consolidation. The script then changes the background color of the chart to visually represent the current market state: green for uptrend, red for downtrend, and yellow for consolidation. The transparency of the background is adjusted for a clear view of the price action.
The uptrend is identified when the short-term SMA (SMA 9) is above the long-term SMA (SMA 21), RSI is above 55 (indicating strong bullish momentum), OBV is rising, MACD line is above the signal line and zero, and volume is higher than the average.
The downtrend is recognized when the short-term SMA is below the long-term SMA, RSI is below 45 (indicating bearish momentum), OBV is falling, MACD line is below the signal line and zero, and volume exceeds the average.
Consolidation occurs when none of the uptrend or downtrend conditions are met, indicating range-bound movement. This is signified by the SMAs being close to each other, RSI near 50, OBV flat, MACD oscillating around zero, and volume either below average or neutral.
This provides a clear, visual representation of the market's current state by dynamically changing the chart's background color. The uptrend is shown with a green background, indicating a strong bullish market, while the downtrend is represented with a red background, signaling a bearish market. A yellow background marks consolidation, suggesting a period of sideways or range-bound movement with no clear direction. By using a combination of SMAs, RSI, OBV, MACD, and volume, the script helps traders quickly identify the prevailing market conditions, allowing them to make more informed decisions based on current trends and potential consolidations.
Liquidity Flow Analyser by NaarnThe Liquidity Flow Analyzer is a sophisticated TradingView indicator designed to help traders identify key market dynamics, including liquidity zones, money flow, support and resistance levels, and potential liquidation points. By combining these elements, the indicator generates clear Buy and Sell signals, making it a powerful tool for both short-term and long-term trading strategies.
Key Features
Liquidity Zones:
Identifies areas of high and low volume using a dynamic threshold.
High-volume zones indicate potential reversal points or areas of interest for institutional activity.
Low-volume zones highlight areas where price may accelerate due to a lack of liquidity.
Money Flow Analysis:
Uses the Volume Weighted Average Price (VWAP) to measure the direction and strength of money entering or exiting the market.
Positive money flow (price above VWAP) suggests bullish sentiment, while negative money flow (price below VWAP) indicates bearish sentiment.
Dynamic Support and Resistance:
Automatically calculates support and resistance levels based on recent price action (lowest lows and highest highs over a user-defined period).
These levels adapt to changing market conditions, providing real-time insights into key price zones.
Liquidation Levels:
Predicts potential liquidation zones for long and short positions using a customizable multiplier.
Helps traders anticipate where stop-loss orders may cluster, leading to potential price reversals or breakouts.
Buy/Sell Signals:
Generates Buy signals when:
Price is above VWAP.
Money flow is positive.
Price is between dynamic support and resistance levels.
Generates Sell signals when:
Price is below VWAP.
Money flow is negative.
Price is between dynamic support and resistance levels.
Visualization:
Plots key levels (support, resistance, liquidation zones) directly on the chart for easy reference.
Displays Buy and Sell signals as labels on the candles, making it easy to spot trading opportunities.
Customizable Parameters:
Adjust the analysis period, volume threshold, and liquidation multiplier to suit your trading style and asset class.
Prashant Dynamic EMA Crossover Signal (Corrected)Take entries only upon candle close above or below ema channel
RSI Crossover dipali parikhThis script generates buy and sell signals based on the crossover of the Relative Strength Index (RSI) and the RSI-based Exponential Moving Average (EMA). It also includes an additional condition for both buy and sell signals that the RSI-based EMA must be either above or below 50.
Key Features:
Buy Signal: Triggered when:
The RSI crosses above the RSI-based EMA.
The RSI-based EMA is above 50.
A green "BUY" label will appear below the bar when the buy condition is met.
Sell Signal: Triggered when:
The RSI crosses below the RSI-based EMA.
The RSI-based EMA is below 50.
A red "SELL" label will appear above the bar when the sell condition is met.
Customizable Inputs:
RSI Length: Adjust the period for calculating the RSI (default is 14).
RSI-based EMA Length: Adjust the period for calculating the RSI-based EMA (default is 9).
RSI Threshold: Adjust the threshold (default is 50) for when the RSI-based EMA must be above or below.
Visuals:
The RSI is plotted as a blue line.
The RSI-based EMA is plotted as an orange line.
Buy and sell signals are indicated by green "BUY" and red "SELL" labels.
Alerts:
Alerts can be set for both buy and sell conditions to notify you when either condition is met.
How to Use:
Use this script to identify potential buy and sell opportunities based on the behavior of the RSI relative to its EMA.
The buy condition indicates when the RSI is strengthening above its EMA, and the sell condition signals when the RSI is weakening below its EMA.
Strategy Use:
Ideal for traders looking to leverage RSI momentum for entering and exiting positions.
The RSI-based EMA filter helps smooth out price fluctuations, focusing on stronger signals.
This script is designed for both discretionary and algorithmic traders, offering a simple yet effective method for spotting trend reversals and continuation opportunities using RSI.
Enhanced Ultimate Gold Trading Indicatorplease make changes in scrip make it version 6
Sure! Let's update the script to Pine Script version 5 and make the necessary refinements for trading XAU/USD. I'll keep the buy and sell signals as specified.
Enhanced Ultimate Gold Trading Indicator (Pine Script v5)
pinescript
//@version=5
indicator("Enhanced Ultimate Gold Trading Indicator", shorttitle="EUGTI", overlay=true)
// Define MACD settings
macdShort = 12
macdLong = 26
macdSignal = 9
// Calculate MACD
= ta.macd(close, macdShort, macdLong, macdSignal)
// Calculate EMAs
ema50 = ta.ema(close, 50)
ema100 = ta.ema(close, 100)
// Calculate RSI
rsi = ta.rsi(close, 14)
// Calculate Bollinger Bands
bbBasis = ta.sma(close, 20)
bbUpper = bbBasis + 2 * ta.stdev(close, 20)
bbLower = bbBasis - 2 * ta.stdev(close, 20)
// Calculate VWAP
vwap = ta.vwap(close)
// Volume Profile calculations
vp = volume * close
// Additional Indicator: ATR (Average True Range) for volatility
atr = ta.atr(14)
// Buy signal: MACD line crosses above signal line, 50-day EMA crosses above 100-day EMA, RSI is below 30, price is at or near the lower Bollinger Band, price is above VWAP, and ATR is increasing
buySignal = ta.crossover(macdLine, signalLine) and ta.crossover(ema50, ema100) and rsi < 30 and close <= bbLower and close > vwap and atr > ta.atr(14)
// Sell signal: MACD line crosses below signal line, 50-day EMA crosses below 100-day EMA, RSI is above 70, price is at or near the upper Bollinger Band, price is below VWAP, and ATR is increasing
sellSignal = ta.crossunder(macdLine, signalLine) and ta.crossunder(ema50, ema100) and rsi > 70 and close >= bbUpper and close < vwap and atr > ta.atr(14)
// Plot MACD lines
plot(macdLine, color=color.blue, title="MACD Line")
plot(signalLine, color=color.orange, title="Signal Line")
// Plot EMAs
plot(ema50, color=color.green, title="50-Day EMA")
plot(ema100, color=color.red, title="100-Day EMA")
// Plot Bollinger Bands
plot(bbBasis, color=color.purple, title="BB Basis")
plot(bbUpper, color=color.purple, title="BB Upper")
plot(bbLower, color=color.purple, title="BB Lower")
// Plot VWAP
plot(vwap, color=color.yellow, title="VWAP")
// Plot Buy and Sell signals
plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, text="Buy")
plotshape(series=sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, text="Sell")
Explanation:
MACD Calculation: The MACD line is the difference between the 12-period EMA and the 26-period EMA, with a 9-period EMA signal line.
Exponential Moving Averages (EMA): The 50-day and 100-day EMAs identify long-term trends.
RSI: Identifies overbought and oversold conditions for better entry and exit timing.
Bollinger Bands: Indicate price extremes and volatility.
VWAP: Shows the average price weighted by volume, providing additional confirmation.
Average True Range (ATR): Measures market volatility. Increasing ATR indicates higher volatility, which can confirm strong price movements.
Buy Signal: Triggered when the MACD line crosses above the signal line, the 50-day EMA crosses above the 100-day EMA, the RSI is below 30 (oversold), the price is at or near the lower Bollinger Band, the price is above VWAP, and the ATR is increasing.
Sell Signal: Triggered when the MACD line crosses below the signal line, the 50-day EMA crosses below the 100-day EMA, the RSI is above 70 (overbought), the price is at or near the upper Bollinger Band, the price is below VWAP, and the ATR is increasing.
How to Use:
Buy Signal: Consider entering a long position (buying gold) when you see a green "Buy" signal.
Sell Signal: Consider exiting a long position or entering a short position (selling gold) when you see a red "Sell" signal.
Machine Learning SupertrendThe Machine Learning Supertrend is an advanced trend-following indicator that enhances the traditional Supertrend with Gaussian Process Regression (GPR) and kernel-based learning. Unlike conventional methods that rely purely on historical ATR values, this indicator integrates machine learning techniques to dynamically estimate volatility and forecast future price movements, resulting in a more adaptive and robust trend detection system.
At the core of this indicator lies Gaussian Process Regression (GPR), which utilizes a Radial Basis Function (RBF) kernel to model price distributions and anticipate future trends. Instead of simply looking at past price action, it constructs a kernel matrix, enabling a probabilistic approach to price forecasting. This allows the indicator to not only detect current trends but also project potential trend reversals with greater accuracy.
By applying machine learning to ATR estimation, the ML Supertrend dynamically adjusts its thresholds based on predicted values rather than a fixed multiplier. This makes the trend signals more responsive to market conditions, reducing false signals and minimizing whipsaws often seen with traditional Supertrend indicators. The upper and lower bands are no longer static but evolve based on the underlying price structure, improving the reliability of trend shifts.
When the price crosses these adaptive levels, the indicator detects a trend change and plots it accordingly. Green signifies a bullish trend, while red indicates a bearish one. Alerts can also be triggered when the trend shifts, allowing traders to react quickly to potential reversals.
What makes this approach powerful is its ability to adapt to different market conditions. Traditional ATR-based methods use fixed parameters that might not always be optimal, whereas this ML-driven Supertrend continuously refines its estimations based on real-time data. The result is a more intelligent, less lagging, and highly adaptive trend-following tool.
This indicator is particularly useful for traders looking to enhance trend-following strategies with AI-driven insights. It reduces noise, improves signal reliability, and even offers a degree of trend forecasting, making it ideal for those who want a more advanced and dynamic alternative to standard Supertrend indicators.
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, and past performance is not indicative of future results. Trading involves risk, and users should conduct their own research and use proper risk management before making investment decisions.
Three Bar Reversal & Patterns with TP, SL and EntryThe indicator I shared implements a strategy to detect and plot several key patterns (Three Bar Reversal, Double Bottom, Double Top, W, and M patterns) along with visual markers for buy and sell signals. It also uses line drawing to connect the patterns and alert the user when a signal is detected.
To identify the time frame suitability for each pattern and signal, let's break down how certain timeframes might affect the effectiveness and frequency of these patterns. Here are some general guidelines:
1. Three Bar Reversal
Best Timeframe: 5-minute to 1-hour.
Why: The Three Bar Reversal is a relatively short-term pattern that reacts quickly to price changes, making it more suitable for lower timeframes (5-minute, 15-minute, 30-minute, or 1-hour). On higher timeframes (like daily), these reversals might become too broad or rare, decreasing their effectiveness.
2. Double Bottom & Double Top
Best Timeframe: 1-hour to 4-hour.
Why: Double bottoms and tops tend to be more reliable on slightly longer timeframes (1-hour, 4-hour). These patterns signify stronger market reversals, so they need more time to form. On shorter timeframes, the patterns might appear too frequently or be invalidated by minor price fluctuations.
3. W Pattern
Best Timeframe: 1-hour to daily.
Why: The W pattern is a trend reversal pattern that tends to form over a longer period of time. It requires a series of price movements to complete, so it is better suited for 1-hour, 4-hour, or daily charts. On shorter timeframes, the pattern could appear too frequently, reducing its reliability.
4. M Pattern
Best Timeframe: 1-hour to daily.
Why: Like the W pattern, the M pattern is a reversal signal that requires more time to form. It’s more reliable on mid-range timeframes (1-hour to daily) where the market has time to develop these top structures. Shorter timeframes will produce more noise and less reliable M patterns.
5. Buy/Sell Signals
Best Timeframe for Buy Signals: 5-minute to 4-hour (for short-term momentum).
Best Timeframe for Sell Signals: 5-minute to 4-hour.
Why: The buy/sell signals can be applied across a range of timeframes. On shorter timeframes (5-minute, 15-minute, or 30-minute), the signals can help capture smaller, quick trends. For more significant moves, you can extend to 1-hour or 4-hour timeframes. Longer timeframes (like daily) would reduce signal frequency, but the signals would likely represent stronger price movements.
Example of Timeframe Suitability:
5-minute charts: Good for Three Bar Reversal and Buy/Sell Signals. Patterns like Double Bottom and Double Top may appear too often and be less significant.
30-minute charts: Suitable for Three Bar Reversal, Double Bottom, Double Top, and Buy/Sell Signals. More reliable than shorter timeframes.
1-hour charts: A balanced timeframe for Double Bottom, Double Top, W, M, and Buy/Sell Signals.
4-hour charts: Excellent for more substantial patterns like Double Bottom, Double Top, W, and M. Three Bar Reversal and Buy/Sell Signals will also be reliable.
Daily charts: Best for identifying more significant patterns like Double Bottom, Double Top, W, and M. Buy and sell signals will appear less frequently.
SmoothBrain Deviation BandsSmoothBrain Deviation Bands & Status Overlay
This indicator implements Dr. Sebastian Purcell's (aka SmoothBrain) 20/40 and 30/60 rules for crypto trading relative to the 200-day SMA. The indicator includes both deviation bands and a status overlay to help traders identify potential market tops.
Key Features:
Tracks price deviation from 200-day SMA
Large coin thresholds: 20% (warning) and 40% (critical)
Small coin thresholds: 30% (warning) and 60% (critical)
Real-time status overlay with color-coded alerts
Percentage deviation display
How to Use:
Large coins: Consider avoiding entries above 20% and expect potential tops above 40%
Small coins: Consider avoiding entries above 30% and expect potential tops above 60%
Use in conjunction with other technical analysis tools for best results
Credit: Original concept by Dr. Sebastian Purcell (SmoothBrain) as part of his Bubble Trading strategy .
Specta2 Bull SupportOverview
The Specta2 Strategy is a comprehensive trading system designed to generate buy and sell signals based on a combination of technical indicators: Bollinger Bands, Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), and Average True Range (ATR). It incorporates advanced risk management techniques, including ATR-based stop loss and take profit levels, as well as a cooldown mechanism to prevent rapid re-entries after exiting a position.
Target markets
The Specta2 Strategy is best suited for bullish market instruments that exhibit strong upward trends and consistent momentum. Ideal tickers typically include:
Large-Cap Stocks: Companies with substantial market capitalization and liquidity, such as those in the S&P 500.
High-Volume ETFs: Exchange-Traded Funds that track major indices or sectors.
Forex Pairs: Major currency pairs like EUR/USD, GBP/USD, which generally exhibit strong trends.
Commodities: Trending commodities like Gold, Oil, which can experience sustained movements.
Market Behaviors
This strategy thrives under the following market conditions:
Bullish Trends: Clearly defined upward trends where prices consistently make higher highs and higher lows.
High Volatility Periods: Times when ATR indicates increased volatility, allowing ATR-based stop loss and take profit levels to adapt effectively.
Strong Momentum: Situations where indicators like MACD and RSI confirm robust upward momentum, reducing the likelihood of false signals.
Low to Moderate Sideways Movement: While not optimal, the strategy can handle some consolidation as long as overarching bullish momentum is present.
Final Note
The Specta2 Strategy is a robust system that leverages multiple technical indicators to generate trading signals while incorporating essential risk management tools. By understanding its components and carefully configuring its parameters, users can adapt the strategy to various market conditions and trading styles. Continuous monitoring, backtesting, and optimization are recommended to ensure sustained performance and alignment with individual trading goals.
200-Week EMA % Difference200-Week EMA Percentage Difference Indicator – Understanding Market Stretch & Reversion
What This Indicator Does
Even if an individual stock is delivering strong earnings and solid fundamentals, it is still influenced by overall market sentiment. When the broader market begins reverting to its long-term mean, stocks—no matter how strong—are often pulled down along with it. Unrealized gains can erode if one ignores these macro movements.
The 200-Week EMA Percentage Difference indicator measures how far the price of an asset or index has moved away from its 200-week Exponential Moving Average (EMA) in percentage terms. This provides a reliable gauge of whether the market is overstretched (overbought) or pulling back to support (oversold) relative to a long-term trend.
How It Helps Investors
Identifying Market Extremes:
When the indicator moves into the 50-80% range, historical trends show that broad-based indices like BSE Smallcap, Nifty 500, Nifty Microcap, and Nifty Smallcap 250 have often experienced corrections.
This suggests that the market may be overextended, and investors should exercise caution.
Spotting Support Zones:
Past data indicates that when the percentage difference falls back to around 30%, the market often finds a new support level, leading to fresh buying opportunities.
This can help long-term investors identify favorable entry points.
Mean Reversion & Market Cycles:
The indicator essentially measures how far these indices have stretched from their long-term mean (200-week EMA).
Extreme deviations from the EMA often result in mean reversion, where prices eventually return to more sustainable levels.
How to Use It in Broad-Based Indices
Above 50-80% → Caution Zone: Historically associated with market tops or overheated conditions.
Around 30% → Support Zone: A potential level where corrections stabilize and new market uptrends begin.
By applying this indicator to indices like BSE Smallcap, Nifty 500, Nifty Microcap, and Nifty Smallcap 250, investors can gauge market strength, anticipate corrections, and position themselves strategically for long-term opportunities.
Binary Price Action ProBinary Price Action Pro is a powerful TradingView indicator designed for Binary Option Trading.
// It helps traders identify key market structure points, supply & demand zones, candlestick patterns,
Liquidity grabs, and institutional order blocks. With built-in alerts, this tool enhances decision-making.
and improves accuracy in trading strategies.
Features:
✅ Market Structure Breaks (BOS & CHOCH)
✅ Support & Resistance Zones
✅ Supply & Demand Zones
✅ Candlestick Patterns (Engulfing, Pin Bar)
✅ Liquidity Grab & Stop Hunt Detection
✅ Institutional Order Blocks & Fair Value Gaps
✅ Entry & Exit Alerts for Binary Trading
Stunden/Halbstunden-WarnungTradingview does not enable time-based alarms. However, the indicator can be used to remind you five minutes before a new hour and five minutes before a new half hour that a new hour or half hour is about to begin. Simply activate the warning in the indicator and then create an alarm for the indicator.
NDTECH Tool-N1CPR (Central Pivot Range) is a popular trading indicator used in technical analysis to identify potential support and resistance levels. It is based on the concept of pivot points, which are calculated using the high, low, and close prices of the previous trading session. The CPR indicator provides three key levels: the Central Pivot (P), the Bottom Central Pivot (BC), and the Top Central Pivot (TC).
Key Components of CPR:
Central Pivot (P): This is the primary level and is calculated as the average of the high, low, and close prices of the previous session.
P=High+Low+Close3
P=3High+Low+Close
Bottom Central Pivot (BC): This level acts as a support level and is calculated as the average of the Central Pivot and the low of the previous session.
BC=P+Low2
BC=2P+Low
Top Central Pivot (TC): This level acts as a resistance level and is calculated as the average of the Central Pivot and the high of the previous session.
TC=P+High2
TC=2P+High
Explanation:
request.security: This function is used to fetch the high, low, and close prices of the previous day. The "D" parameter specifies the daily timeframe.
plot: This function is used to plot the CPR levels on the chart.
fill: This function is used to highlight the area between the BC and TC levels, providing a visual representation of the CPR range.
Usage:
Support and Resistance: Traders use the CPR levels to identify potential support (BC) and resistance (TC) levels. Price action around these levels can provide insights into market sentiment.
Trend Identification: If the price is consistently above the Central Pivot (P), it may indicate a bullish trend, while prices below P may indicate a bearish trend.
Breakout Trading: Breakouts above TC or below BC can signal potential trading opportunities.
Conclusion:
The CPR indicator is a versatile tool that can be used in various trading strategies. By implementing it in Pine Script, traders can customize and automate their analysis on the TradingView platform, making it easier to identify key levels and make informed trading decisions.
WFO Cloud-Optimized MomentumThis strategy is based on the Ichimoku Cloud indicator, designed to identify potential buy and sell signals in a market (like HWM stock). Here's a breakdown of the components and logic behind it:
Ichimoku Cloud Components:
Tenkan-sen: The moving average of the highest high and lowest low. It is used as a short-term trend indicator.
Kijun-sen: The moving average of the highest high and lowest low. It is considered the medium-term trend line.
Senkou Span A: The average of Tenkan-sen and Kijun-sen, shifted forward. It forms the leading edge of the cloud (Kumo).
Senkou Span B: The moving average of the highest high and lowest low, shifted forward. It forms the trailing edge of the cloud.
Chikou Span: The closing price shifted backward. It is used to confirm the trend.