Ichimoku with Vertical Mirror DistanceThe Ichimoku Kinko Hyo is a powerful technical indicator used to assess market trends, potential support and resistance levels, and momentum. It consists of several components that help visualize the market's state:
Tenkan-sen (Conversion Line): A fast-moving average.
Kijun-sen (Base Line): A slower-moving average.
Senkou Span A (Leading Span A): The average of Tenkan-sen and Kijun-sen, shifted forward in time.
Senkou Span B (Leading Span B): A slower moving average of the high and low price over a period of 52 periods, shifted forward in time.
Chikou Span (Lagging Line): The closing price shifted back in time by 26 periods.
This custom version of the Ichimoku indicator adds the vertical mirrored distance feature, which calculates the distance between Senkou Span B and Kijun-sen and then mirrors this distance to create two new lines. These new lines help visualize the range between these key Ichimoku lines.
Indicadores e estratégias
Options Flavour by Raushan ShrivastavaMonthly Pivot Points :-
It calculates the monthly high, low, and close, and then computes the pivot point and three levels of support and resistance (R1, R2, R3, S1, S2, S3).
Moving Average :-
A simple moving average (SMA) with a configurable length (length_ma), which by default is set to 140 periods.
Bullish/Bearish Labels :-
Bullish condition: The close price crosses above both the moving average and the monthly pivot point.
Bearish condition: The close price crosses below both the moving average and the monthly pivot point.
Plotting :-
Monthly pivot, support, and resistance levels are plotted as circles on the chart.
The previous month's high and low are also plotted.
Bullish and bearish signals are shown with labels.
Labels on Support/Resistance Lines :-
A label "- PE" will appear on the S2 line (support level) with a green color when the bullish condition is met.
A label "- CE" will appear on the R2 line (resistance level) with a red color when the bearish condition is met.
Customisation :-
Moving Average Length: You can modify the length_ma input to adjust the period of the moving average.
反彈三次突破策略策略說明 (Strategy Explanation)
英文 (English)
This strategy is called "反彈三次突破策略" (Three Rebound Breakthrough Strategy). It is designed to identify and trade based on three consecutive price drops followed by a rebound, ensuring certain conditions are met before entering a trade. The key components and conditions of this strategy are as follows:
Moving Averages (MAs):
Fast MA: The short-term moving average (e.g., 5 periods).
Slow MA: The long-term moving average (e.g., 20 periods).
The crossover of these MAs generates buy (long) and sell (short) signals.
Average True Range (ATR):
Used to calculate volatility and set stop-loss and take-profit levels.
Three Consecutive Drops and Rebounds:
The strategy identifies three consecutive drops in price, each creating a new lower low (low1, low2, low3).
After the third drop, the price must rebound and break above the previous low's rebound height.
Parallel Channel:
A parallel channel is drawn between the lowest points (low1 and low3) to visualize the price range.
Two lines (lower and upper) form the channel.
Entry and Exit Conditions:
Entry signals are based on MA crossovers and the three rebound condition.
Stop-loss and take-profit levels are set using ATR-based calculations.
Labels are added to the chart to indicate stop-loss and take-profit points.
中文 (Chinese)
這個策略叫做 "反彈三次突破策略"。其目的是識別並基於三次連續價格下跌後的反彈進行交易，並確保在進行交易之前滿足某些條件。該策略的關鍵組成部分和條件如下：
移動平均線 (MAs):
快速均線：短期移動平均線（例如，5 期）。
慢速均線：長期移動平均線（例如，20 期）。
這些均線的交叉產生買入（做多）和賣出（做空）信號。
真實波動範圍 (ATR):
用於計算波動性並設置止損和止盈水平。
三次連續下跌和反彈：
該策略識別連續三次的價格下跌，每次都創下更低的低點（low1、low2、low3）。
在第三次下跌後，價格必須反彈並突破前一個低點的反彈高度。
平行通道：
在最低點（low1 和 low3）之間繪製平行通道，以可視化價格區間。
兩條線（下邊界和上邊界）形成通道。
進出場條件：
進場信號基於均線交叉和三次反彈條件。
使用基於 ATR 的計算設置止損和止盈水平。
在圖表上添加標籤以指示止損和止盈點。
Z-Score Indicator [mr2j]This script calculates the Z-score over any lookback window. It provides an understanding if the current price is relatively high or low - and subsequently is close to a correction.
Z-scores can be broken down into probabilities, where Z-scores
Above 2 occurs 2.3% of the time (very uncommon)
Between 1 and 2 occurs 13.6% of the time (elevated)
Between 0 and 1 occurs 34.1% of the time (normal)
Between -1 and 0 occurs 34.1% of the time (normal) [GREEN ZONE
Between -2 and -1 occurs 13.6% pf the time (elevated)
Below -2 occurs 2.3% of the time (very uncommon)
So by paying attention to what zone price action currently is, we can make predictions about short time price corrections.
Normal zone - no assumptions can be made
Elevated zone - pay attention for further escalation
Very uncommon zone - expect price correction over the short term
Note. Price action is not normally distributed, and as such this indicator can not predict price action with any statistical certainty. It can however, serve as an indicator for upcoming price reversals.
Ichimoku with Shifted and Unshifted Senkou BIchimoku Kinko Hyo Indicator Explanation
The Ichimoku Kinko Hyo is a comprehensive technical indicator designed to provide insights into the market's trend, support/resistance levels, and momentum, all in one glance. It consists of five main components:
Tenkan-sen (Conversion Line): A fast-moving average.
Kijun-sen (Base Line): A slower-moving average.
Senkou Span A (Leading Span A): The average of Tenkan-sen and Kijun-sen, shifted forward in time.
Senkou Span B (Leading Span B): A slower moving average of the high and low price over a period of 52 periods, shifted forward in time.
Chikou Span (Lagging Line): The closing price shifted back in time by 26 periods.
The Ichimoku indicator is typically used to identify the trend direction, momentum, and support/resistance levels. The cloud formed between Senkou Span A and Senkou Span B is key in identifying the market's overall trend.
Candle Color Based on EMA Conditions with CustomizationIf the close is below both EMAs, the candle color is red.
If the close is above both EMAs, the candle color is green.
If the close is above 20 EMA but below 200 EMA, or below 20 EMA but above 200 EMA, the candle color is blue.
Advanced Ichimoku SignalThe Advanced Ichimoku Signal is an innovative indicator that combines the strengths of the Ichimoku Cloud system with enhanced signal processing features. This tool is designed to provide traders with clearer insights into market trends and potential trading opportunities.
Key Features of the Advanced Ichimoku Signal
1. Integration of Ichimoku Components:
- The indicator utilizes essential Ichimoku elements such as **Tenkan-sen** (Conversion Line) and **Kijun-sen** (Base Line) to determine short-term and long-term market trends.
2. Enhanced Signal Logic:
- It incorporates a Weighted Moving Average (WMA) to smooth price data, allowing for better trend identification and reducing noise in volatile markets.
3. Customizable Parameters:
- Traders can adjust various parameters, including the lengths of the Tenkan-sen, Kijun-sen, and WMA, as well as their colors and thicknesses for improved visibility.
4. Dynamic Visual Signals:
- The background color changes based on bullish or bearish conditions, providing immediate visual cues for potential trade setups.
5. Signal Strength Calculation:
- The indicator calculates the strength of signals based on the distance between the closing price and the WMA, helping traders gauge the reliability of trade signals.
Importance of the Advanced Ichimoku Signal
- Trend Analysis: By combining multiple indicators, traders can identify both short-term and long-term trends effectively.
- Improved Decision Making: The clear visual signals help traders make informed decisions quickly, reducing the chances of emotional trading.
- Flexibility in Trading Strategies: The customizable nature of the indicator allows it to fit various trading styles, whether scalping or long-term investing.
- Risk Management: Understanding market momentum through this indicator aids in better risk management by providing clear entry and exit points.
Conclusion
The Advanced Ichimoku Signal is a powerful tool for traders looking to enhance their market analysis capabilities. With its advanced features and customizable settings, it offers a comprehensive approach to identifying trading opportunities in various market conditions. Integrating this indicator into your trading strategy can lead to more informed decisions and improved trading performance.
Sanket_OpThis Pine Script detects and highlights bullish and bearish engulfing candle patterns on the chart. It also plots today's Open, High, Low, and Close (OHLC) values, along with an Exponential Moving Average (EMA) based on user input. The script is designed for visual analysis and can trigger alerts for pattern recognition.
Candle Color Based on EMA ConditionsExplanation:
ta.ema: Calculates the 20 EMA and 200 EMA.
Conditions:
If the close is below both EMAs, the candle color is red.
If the close is above both EMAs, the candle color is green.
If the close is above 20 EMA but below 200 EMA, or below 20 EMA but above 200 EMA, the candle color is blue.
plotcandle: Plots the candles with the specified colors
Dynamic Volatility Differential Model (DVDM)The Dynamic Volatility Differential Model (DVDM) is a quantitative trading strategy designed to exploit the spread between implied volatility (IV) and historical (realized) volatility (HV). This strategy identifies trading opportunities by dynamically adjusting thresholds based on the standard deviation of the volatility spread. The DVDM is versatile and applicable across various markets, including equity indices, commodities, and derivatives such as the FDAX (DAX Futures).
Key Components of the DVDM:
1. Implied Volatility (IV):
The IV is derived from options markets and reflects the market’s expectation of future price volatility. For instance, the strategy uses volatility indices such as the VIX (S&P 500), VXN (Nasdaq 100), or RVX (Russell 2000), depending on the target market. These indices serve as proxies for market sentiment and risk perception (Whaley, 2000).
2. Historical Volatility (HV):
The HV is computed from the log returns of the underlying asset’s price. It represents the actual volatility observed in the market over a defined lookback period, adjusted to annualized levels using a multiplier of \sqrt{252} for daily data (Hull, 2012).
3. Volatility Spread:
The difference between IV and HV forms the volatility spread, which is a measure of divergence between market expectations and actual market behavior.
4. Dynamic Thresholds:
Unlike static thresholds, the DVDM employs dynamic thresholds derived from the standard deviation of the volatility spread. The thresholds are scaled by a user-defined multiplier, ensuring adaptability to market conditions and volatility regimes (Christoffersen & Jacobs, 2004).
Trading Logic:
1. Long Entry:
A long position is initiated when the volatility spread exceeds the upper dynamic threshold, signaling that implied volatility is significantly higher than realized volatility. This condition suggests potential mean reversion, as markets may correct inflated risk premiums.
2. Short Entry:
A short position is initiated when the volatility spread falls below the lower dynamic threshold, indicating that implied volatility is significantly undervalued relative to realized volatility. This signals the possibility of increased market uncertainty.
3. Exit Conditions:
Positions are closed when the volatility spread crosses the zero line, signifying a normalization of the divergence.
Advantages of the DVDM:
1. Adaptability:
Dynamic thresholds allow the strategy to adjust to changing market conditions, making it suitable for both low-volatility and high-volatility environments.
2. Quantitative Precision:
The use of standard deviation-based thresholds enhances statistical reliability and reduces subjectivity in decision-making.
3. Market Versatility:
The strategy’s reliance on volatility metrics makes it universally applicable across asset classes and markets, ensuring robust performance.
Scientific Relevance:
The strategy builds on empirical research into the predictive power of implied volatility over realized volatility (Poon & Granger, 2003). By leveraging the divergence between these measures, the DVDM aligns with findings that IV often overestimates future volatility, creating opportunities for mean-reversion trades. Furthermore, the inclusion of dynamic thresholds aligns with risk management best practices by adapting to volatility clustering, a well-documented phenomenon in financial markets (Engle, 1982).
References:
1. Christoffersen, P., & Jacobs, K. (2004). The importance of the volatility risk premium for volatility forecasting. Journal of Financial and Quantitative Analysis, 39(2), 375-397.
2. Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987-1007.
3. Hull, J. C. (2012). Options, Futures, and Other Derivatives. Pearson Education.
4. Poon, S. H., & Granger, C. W. J. (2003). Forecasting volatility in financial markets: A review. Journal of Economic Literature, 41(2), 478-539.
5. Whaley, R. E. (2000). The investor fear gauge. Journal of Portfolio Management, 26(3), 12-17.
This strategy leverages quantitative techniques and statistical rigor to provide a systematic approach to volatility trading, making it a valuable tool for professional traders and quantitative analysts.
Bull Market Support Band by AnkiMinhasA comment has been added suggesting a descriptive note for the indicator. You can include a brief explanation like: "This indicator visualizes the Bull Market Support Band using a 21-week EMA and SMA to identify trends." Let me know if you'd like to incorporate it directly
Уровни поддержки и сопротивления ликвидации Биткоина Этот индикатор поможет вам визуализировать потенциальные зоны ликвидаций на графике и принимать более информированные торговые решения.
Advanced Strategy: Buy and Sell//@version=5
indicator("Advanced Strategy: Buy and Sell", overlay=true)
// User Inputs
ema_fast_length = input.int(12, title="EMA Fast Period")
ema_slow_length = input.int(26, title="EMA Slow Period")
rsi_period = input.int(14, title="RSI Period")
macd_fast = input.int(12, title="MACD Fast Period")
macd_slow = input.int(26, title="MACD Slow Period")
macd_signal = input.int(9, title="MACD Signal Period")
bb_length = input.int(20, title="Bollinger Bands Period")
bb_mult = input.float(2.0, title="Bollinger Bands Std Dev")
adx_period = input.int(14, title="ADX Period")
adx_threshold = input.int(20, title="Minimum ADX for Trend Validation")
// Indicator Calculations
ema_fast = ta.ema(close, ema_fast_length)
ema_slow = ta.ema(close, ema_slow_length)
rsi = ta.rsi(close, rsi_period)
= ta.macd(close, macd_fast, macd_slow, macd_signal)
= ta.bb(close, bb_length, bb_mult)
// ADX Calculation
true_range = ta.rma(ta.tr, adx_period)
plus_dm = ta.rma(ta.change(high) > ta.change(low) ? math.max(ta.change(high), 0) : 0, adx_period)
minus_dm = ta.rma(ta.change(low) > ta.change(high) ? math.max(ta.change(low), 0) : 0, adx_period)
plus_di = (plus_dm / true_range) * 100
minus_di = (minus_dm / true_range) * 100
dx = math.abs(plus_di - minus_di) / (plus_di + minus_di) * 100
adx = ta.rma(dx, adx_period)
// Buy Rules
buy_signal = ta.crossover(ema_fast, ema_slow) and rsi < 50 and macd_line > signal_line and close < bb_lower and adx > adx_threshold
// Sell Rules
sell_signal = ta.crossunder(ema_fast, ema_slow) and rsi > 50 and macd_line < signal_line and close > bb_upper and adx > adx_threshold
// Plot Indicators on the Chart
plot(ema_fast, color=color.green, title="EMA Fast")
plot(ema_slow, color=color.red, title="EMA Slow")
plot(bb_upper, color=color.orange, title="Bollinger Upper Band")
plot(bb_lower, color=color.orange, title="Bollinger Lower Band")
// Buy and Sell Signals
plotshape(buy_signal, style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
plotshape(sell_signal, style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")
// Alerts
alertcondition(buy_signal, title="Buy Alert", message="Buy Signal Detected!")
alertcondition(sell_signal, title="Sell Alert", message="Sell Signal Detected!")
1 Minute Candle Strategythe script will work on any time frame, but specifically mentioned on 1 minutes candles. when applied on a 1 minutes chart the script will execute based on minute candle.
Market Regime DetectorMarket Regime Detector
The Market Regime Detector is a tool designed to help traders identify and adapt to the prevailing market environment by analyzing price action in relation to key macro timeframe levels. This indicator categorizes the market into distinct regimes—Bullish, Bearish, or Reverting—providing actionable insights to set trading expectations, manage volatility, and align strategies with broader market conditions.
What is a Market Regime?
A market regime refers to the overarching state or condition of the market at a given time. Understanding the market regime is critical for traders as it determines the most effective trading approach. The three main regimes are:
Bullish Regime:
Characterized by upward momentum where prices are consistently trending higher.
Trading strategies often focus on buying opportunities and trend-following setups.
Bearish Regime:
Defined by downward price pressure and declining trends.
Traders typically look for selling opportunities or adopt risk-off strategies.
Reverting Regime:
Represents a consolidation phase where prices move within a defined range.
Ideal for mean-reversion strategies or range-bound trading setups.
Key Features of the Market Regime Detector:
Dynamic Market Regime Detection:
Identifies the market regime based on macro timeframe high and low levels (e.g., weekly or monthly).
Provides clear and actionable insights for each regime to align trading strategies.
Visual Context for Price Levels:
Plots the macro high and low levels on the chart, allowing traders to visualize critical support and resistance zones.
Enhances understanding of volatility and trend boundaries.
Regime Transition Alerts:
Sends alerts only when the market transitions into a new regime, ensuring traders are notified of meaningful changes without redundant signals.
Alert messages include clear regime descriptions, such as "Market entered a Bullish Regime: Price is above the macro high."
Customizable Visualization:
Background colors dynamically adjust to the current regime:
Blue for Reverting.
Aqua for Bullish.
Fuchsia for Bearish.
Option to toggle high/low line plotting and background highlights for a tailored experience.
Volatility and Expectation Management:
Offers insights into market volatility by showing when price action approaches, exceeds, or reverts within macro timeframe levels.
Helps traders set realistic expectations and adjust their strategies accordingly.
Use Cases:
Trend Traders: Identify bullish or bearish regimes to capture sustained price movements.
Range Traders: Leverage reverting regimes to trade between defined support and resistance zones.
Risk Managers: Use macro high and low levels as dynamic stop-loss or take-profit zones to optimize trade management.
The Market Regime Detector equips traders with a deeper understanding of the market environment, making it an essential tool for informed decision-making and strategic planning. Whether you're trading trends, ranges, or managing risk, this indicator provides the clarity and insights needed to navigate any market condition.
Price H/L Look BackPrice H/L Look Back
Last x # of days will show the high/low for that time period.
Work in progress.....
Bearish EMA + MFI OS | SoV DCA v1.1A systematic savings tool designed for long-term wealth building through strategic asset accumulation. This indicator helps investors maintain disciplined buying during market downtrends, turning bearish periods into opportunities for methodical saving.
Strategy Components:
- Uses Death Cross (short EMA crossing below long EMA) to identify significant downtrends
- Confirms buying opportunities with oversold MFI conditions to improve entry prices
- Implements time-based DCA to maintain consistent investment discipline
- Tracks investment progress with detailed performance metrics
Perfect for:
- Long-term savers focused on wealth preservation
- Investors building positions in Store of Value assets
- Those seeking to automate their savings strategy
- Converting regular income into hard assets systematically
Features:
- Customizable investment amounts and intervals
- Detailed investment tracking and performance analysis
- Break-even calculations and position monitoring
- Flexible asset selection for various Store of Value instruments
Best used on weekly or daily timeframes for strategic long-term accumulation. This tool emphasizes steady wealth building over short-term trading, helping investors stay committed to their savings goals regardless of market conditions.
Note: Designed for disciplined saving through systematic buying, not for timing profits or short-term trading.
VolatilityFlex Dynamic [CodeNeural]Volatility levels for tracking weekend price potential.
Load up and enjoy
EXPONOVA by @thejamiulEXPONOVA is an advanced EMA-based indicator designed to provide a visually intuitive and actionable representation of market trends. It combines two EMAs (Exponential Moving Averages) with a custom gradient fill to help traders identify trend reversals, strength, and the potential duration of trends.
This indicator uses a gradient color fill between two EMAs—one short-term (20-period) and one longer-term (55-period). The gradient dynamically adjusts based on the proximity and relationship of the closing price to the EMAs, giving traders a unique visual insight into trend momentum and potential exhaustion points.
Key Features:
Dynamic Gradient Fill:
The fill color between the EMAs changes based on the bar's position relative to the longer-term EMA.
A fading gradient visually conveys the strength and duration of the trend. The closer the closing price is to crossing the EMA, the stronger the gradient, making trends easy to spot.
Precision EMA Calculations:
The indicator plots two EMAs (20 and 55) without cluttering the chart, ensuring traders have a clean and informative display.
Ease of Use:
Designed for both novice and advanced traders, this tool is effective in identifying trend reversals and entry/exit points.
Trend Reversal Detection:
Built-in logic identifies bars since the last EMA cross, dynamically adjusting the gradient to signal potential trend changes.
How It Works:
This indicator calculates two EMAs:
EMA 20 (Fast EMA): Tracks short-term price movements, providing early signals of potential trend changes.
EMA 55 (Slow EMA): Captures broader trends and smoothens noise for a clearer directional bias.
The area between the two EMAs is filled with a dynamic color gradient, which evolves based on how far the price has moved above or below EMA 55. The gradient acts as a visual cue to the strength and duration of the current trend:
Bright green shades indicate bullish momentum building over time.
Red tones highlight bearish momentum.
The fading effect in the gradient provides traders with an intuitive representation of trend strength, helping them gauge whether the trend is accelerating, weakening, or reversing.
Gradient-Filled Region: Unique visualization to simplify trend analysis without cluttering the chart.
Dynamic Trend Strength Indication: The gradient dynamically adjusts based on the price's proximity to EMA 55, giving traders insight into momentum changes.
Minimalist Design: The EMAs themselves are not displayed by default to maintain a clean chart while still benefiting from their analysis.
Customizable Lengths: Pre-configured with EMA lengths of 20 and 55, but easily modifiable for different trading styles or instruments.
How to Use This Indicator
Trend Detection: Look at the gradient fill for visual confirmation of trend direction and strength.
Trade Entries:
Enter long positions when the price crosses above EMA 55, with the gradient transitioning to green.
Enter short positions when the price crosses below EMA 55, with the gradient transitioning to red.
Trend Strength Monitoring:
A brighter gradient suggests a sustained and stronger trend.
A fading gradient may indicate weakening momentum and a potential reversal.
Important Notes
This indicator uses a unique method of color visualization to enhance decision-making but does not generate buy or sell signals directly.
Always combine this indicator with other tools or methods for comprehensive analysis.
Past performance is not indicative of future results; please practice risk management while trading.
How to Use:
Trend Following:
Use the gradient fill to identify the trend direction.
A consistently bright gradient indicates a strong trend, while fading colors suggest weakening momentum.
Reversal Signals:
Watch for gradient changes near the EMA crossover points.
These can signal potential trend reversals or consolidation phases.
Confirmation Tool:
Combine EXPONOVA with other indicators or candlestick patterns for enhanced confirmation of trade setups.
GOLDEN Trading System by @thejamiulGolden Pivot by thejamiul is the ultimate trading companion, meticulously designed to provide traders with precise and actionable market levels for maximizing trading success. With its innovative blend of pivot systems, high/low markers, and customizable features, this indicator empowers you to execute trades with accuracy and confidence.
Source of this indicator : This indicator is based on @TradingView original pivot point ( pivot point standard ) indicator with lot of custom and added features to identify breakouts. Bellow detail list of features with explanations.
What Makes Golden Pivot Unique?
This indicator integrates multiple pivot methodologies and key levels into one powerful tool, making it suitable for a wide variety of trading strategies. Whether you're into breakout trading, virgin trades, or analyzing market trends, Golden Pivot Pro v5 has got you covered.
Key Features:
Camarilla Pivots:
Calculates H3, H4, H5, L3, L4, and L5 levels dynamically.
Helps identify strong support and resistance zones for reversal or breakout opportunities.
Floor Pivots:
Classic pivot point along with BC (Bottom Center) and TC (Top Center) levels for intraday and swing trading setups.
Multi-Timeframe High/Low Levels:
Plots static high/low markers for yearly, monthly, weekly, and daily timeframes.
Provides clarity on major market turning points and breakout zones.
Close Price Levels:
Highlights yearly, monthly, weekly, and daily close prices to aid in understanding market bias.
Custom Timeframe Selection:
Flexibly choose daily, weekly, monthly, or yearly pivot resolutions to suit your trading style and objectives.
Comprehensive Visualization:
Color-coded levels for quick recognition of significant zones.
Dynamic updates to adapt to changing market conditions seamlessly.
EXPONOVA:
In input tab you will get EXPONOVA, it is build with two ema and gradient colours. It is very important for trend identification because if we only use pivot, we can not tell the market direction easily. So if you use the EXPONOVA we can easily tell the market trend because when the market is in up trend the EXPONOVA will be green and when the market is in downtrend the EXPONOVA will be red. So if we use pivot and EXPONOVA together we can build a rubout strategy.
This indicator enables you to implement strategies like:
Breakout Trading: Identify critical levels where price might break out for momentum trades.
Virgin Trades: Use untouched levels for precision entries with minimal risk.
Trend Reversals: Spot overbought or oversold zones using Camarilla and Floor Pivots.
Range-Bound Markets: Utilize high/low levels to define boundaries and trade within the range.
How to Use Golden Pivot by thejamiul for High-Accuracy Trading?
1. Breakout Trading If you like breakout trading then this indicator can help you a lot, here we will only take those trade which are broke green zone or red zone. Here green zone mean H3, to H4, and red zone mean L3, L4 . If price closes above green zone then we will plan to go Long and if price closes bellow red zone then we will plan to go Short.
As you can see on the chart when price break the green zone, the market shoot up!
2. Range-Bound Trading: When market are in range bound mode, usually we fear to take trade because we don't have clear idea about major support or resistance and how to take trade in such market. But if you use this indicator it will show you the major support and resistance zone which are red and green colours in this indicator. In range bound market, market usually trade between red zone and green zone so we can trade accordingly.
Normalized Price ComparisonNormalized Price Comparison Indicator Description
The "Normalized Price Comparison" indicator is designed to provide traders with a visual tool for comparing the price movements of up to three different financial instruments on a common scale, despite their potentially different price ranges. Here's how it works:
Features:
Normalization: This indicator normalizes the closing prices of each symbol to a scale between 0 and 1 over a user-defined period. This normalization process allows for the comparison of price trends regardless of the absolute price levels, making it easier to spot relative movements and trends.
Crossing Alert: It features an alert functionality that triggers when the normalized price lines of the first two symbols (Symbol 1 and Symbol 2) cross each other. This can be particularly useful for identifying potential trading opportunities when one asset's relative performance changes against another.
Customization: Users can input up to three symbols for analysis. The normalization period can be adjusted, allowing flexibility in how historical data is considered for the scaling process. This period determines how many past bars are used to calculate the minimum and maximum prices for normalization.
Visual Representation: The indicator plots these normalized prices in a separate pane below the main chart. Each symbol's normalized price is represented by a distinct colored line:
Symbol 1: Blue line
Symbol 2: Red line
Symbol 3: Green line
Use Cases:
Relative Performance Analysis: Ideal for investors or traders who want to compare how different assets are performing relative to each other over time, without the distraction of absolute price differences.
Divergence Detection: Useful for spotting divergences where one asset might be outperforming or underperforming compared to others, potentially signaling changes in market trends or investment opportunities.
Crossing Strategy: The alert for when Symbol 1 and Symbol 2's normalized lines cross can be used as a part of a trading strategy, signaling potential entry or exit points based on relative price movements.
Limitations:
Static Alert Messages: Due to Pine Script's constraints, the alert messages cannot dynamically include the names of the symbols being compared. The alert will always mention "Symbol 1" and "Symbol 2" crossing.
Performance: Depending on the timeframe and the number of symbols, performance might be affected, especially on lower timeframes with high data frequency.
This indicator is particularly beneficial for those interested in multi-asset analysis, offering a streamlined way to observe and react to relative price movements in a visually coherent manner. It's a powerful tool for enhancing your trading or investment analysis by focusing on trends and relationships rather than raw price data.
