No Trade Zone Indicator [CHE]No Trade Zone Indicator
The "No Trade Zone Indicator " is a powerful tool designed to help traders identify periods when the market may not present favorable trading opportunities. By analyzing the percentage change in the 20-period Simple Moving Average (SMA20) relative to a dynamically adjusted threshold based on market volatility, this indicator highlights times when it's prudent to stay out of the market.
Why Knowing When Not to Trade Is Important
Understanding when not to trade is just as crucial as knowing when to enter or exit a position. Trading during periods of low volatility or uncertain market direction can lead to unnecessary risks and potential losses. By recognizing these "No Trade Zones," you can:
- Avoid Low-Probability Trades: Reduce the chances of entering trades with unfavorable risk-to-reward ratios.
- Preserve Capital: Protect your investment from unpredictable market movements.
- Enhance Focus: Concentrate on high-quality trading opportunities that align with your strategy.
How the Indicator Works
- SMA20 Calculation: Computes the 20-period Simple Moving Average of closing prices to identify the market's short-term trend.
- ATR Measurement: Calculates the Average True Range (ATR) over a user-defined period (default is 14) to assess market volatility.
- Dynamic Threshold: Determines an adjusted threshold by multiplying the ATR percentage by a Threshold Adjustment Factor (default is 0.05).
- Trend Analysis: Compares the percentage change of the SMA20 against the adjusted threshold to evaluate market momentum.
- Status Identification:
- Long: Indicates a rising SMA20 above the threshold—suggesting a potential upward trend.
- Short: Indicates a falling SMA20 above the threshold—suggesting a potential downward trend.
- No Trade: Signals when the SMA20 change is below the threshold, marking a period of low volatility or indecision.
Features
- Customizable Settings: Adjust the ATR period and Threshold Adjustment Factor to suit different trading styles and market conditions.
- Visual Indicators: Colored columns represent market status—green for "Long," red for "Short," and gray for "No Trade."
- On-Chart Table: An optional table displays the current market status directly on your chart for quick reference.
- Alerts: Set up alerts to receive notifications when the market enters a "No Trade Zone," helping you stay informed without constant monitoring.
How to Use the Indicator
1. Add to Chart: Apply the "No Trade Zone Indicator " to your preferred trading chart on TradingView.
2. Configure Settings: Customize the ATR period and Threshold Adjustment Factor based on your analysis and risk tolerance.
3. Interpret Signals:
- Green Columns: Consider looking for buying opportunities as the market shows upward momentum.
- Red Columns: Consider looking for selling opportunities as the market shows downward momentum.
- Gray Columns: Refrain from trading as the market lacks clear direction.
4. Monitor Alerts: Use the alert feature to get notified when the market status changes, allowing you to make timely decisions.
Conclusion
Incorporating the "No Trade Zone Indicator " into your trading toolkit can enhance your decision-making process by clearly indicating when the market may not be conducive to trading. By focusing on periods with favorable conditions and avoiding low-volatility times, you can improve your trading performance and achieve better results over the long term.
*Trade wisely, and remember—the best trade can sometimes be no trade at all.*
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
best regards
Chervolino
圖表形態
Fractals CheckerBasically, this indicator helps to identify upper and lower fractals (red/green) of three candles.
This fractal checker marks all candles with a triangle below/above the candle that fall into this category and draws a line until the fractal is closed.
Exact Three Black Crows and Three White SoldiersExact Three Black Crows and Three White Soldiers
where you can find 3 red and 3 green candle bars
Through these pattern, we can identify the trend reversal
Multi-Timeframe Supertrend Strategy_NIXIts an intraday trend following indicator.
Explanation of Key Parts
Multi-Timeframe Supertrend:
get_supertrend function retrieves Supertrend values for specified length, factor, and timeframe.
Signal Logic:
Primary Buy Condition: isBuyPrimary is true when all Supertrend values are below the current price.
Buy Confirmation: isBuyConfirm checks if the last closed candle was above the 45-minute Supertrend.
Buy Trigger: isBuyTrigger activates when the price crosses above the high of the confirmation candle.
Similarly, Sell Trigger is set up with the opposite conditions.
Stop-Loss Conditions:
Stop-loss triggers for Buy and Sell positions if the price closes below or above the Supertrend (10,1) level, respectively.
Plots:
Buy/Sell signals and Stop Losses are visually plotted for easier tracking.
sangram RSI Candlesticks//@version=5
indicator('Glowing RSI Candlesticks', shorttitle='Glow RSI', overlay=false)
// RSI Settings
rsiPeriod = input.int(40, title='RSI Period', minval=1)
rsiSource = close
rsiValue = ta.rsi(rsiSource, rsiPeriod)
// Toggle Visibility
showRSILine = input(true, title='Make the RSI Glow')
showAllMA = input(true, title="Show ALL Moving Averages")
showMA1 = input(true, title='Show Moving Average 1')
showMA2 = input(true, title='Show Moving Average 2')
showMA3 = input(true, title='Show Moving Average 3')
showMA4 = input(true, title='Show Moving Average 4')
showBars = input(true, title='Show RSI OHLC Bars')
maLength1 = input.int(9, title='MA Length 1')
maLength2 = input.int(15, title='MA Length 2')
maLength3 = input.int(30, title='MA Length 3')
maLength4 = input.int(50, title='MA Length 4')
// Calculate OHLC Values for RSI
rsiOpen = na(rsiValue ) ? rsiValue : rsiValue
rsiHigh = ta.highest(rsiValue, rsiPeriod)
rsiLow = ta.lowest(rsiValue, rsiPeriod)
// Define Colors
barUpColor = color.new(color.green, 0)
barDownColor = color.new(color.red, 0)
barColor = rsiOpen < rsiValue ? barUpColor : barDownColor
// Plot RSI OHLC Bars
plotcandle(showBars ? rsiOpen : na, rsiHigh, rsiLow, rsiValue, title="RSI OHLC", color=barColor, wickcolor=color.new(color.white, 100), bordercolor=barColor)
// Horizontal Lines
hline(70, "Oversold", color.new(color.red, 80), linewidth = 2, linestyle = hline.style_solid)
hline(70, "Oversold", color.new(color.red, 85), linewidth = 12, linestyle = hline.style_solid)
hline(70, "Oversold", color.new(color.red, 90), linewidth = 24, linestyle = hline.style_solid)
hline(70, "Oversold", color.new(color.red, 95), linewidth = 36, linestyle = hline.style_solid)
hline(50, "Mid", color=color.gray)
hline(30, "Oversold", color.new(color.green, 80), linewidth = 2, linestyle = hline.style_solid)
hline(30, "Oversold", color.new(color.green, 85), linewidth = 12, linestyle = hline.style_solid)
hline(30, "Oversold", color.new(color.green, 90), linewidth = 24, linestyle = hline.style_solid)
hline(30, "Oversold", color.new(color.green, 95), linewidth = 36, linestyle = hline.style_solid)
// Plot RSI Line
rsiColor1 = color.new(color.blue, 30)
rsiColor2 = color.new(color.blue, 80)
rsiColor3 = color.new(color.blue, 85)
plot(showRSILine ? rsiValue : na, title='RSI', color=rsiColor1, linewidth=2)
plot(showRSILine ? rsiValue : na, title='RSI', color=rsiColor2, linewidth=10)
plot(showRSILine ? rsiValue : na, title='RSI', color=rsiColor3, linewidth=16)
// Moving Average
maValue1 = ta.sma(rsiValue, maLength1)
maValue2 = ta.sma(rsiValue, maLength2)
maValue3 = ta.sma(rsiValue, maLength3)
maValue4 = ta.sma(rsiValue, maLength4)
plot(showAllMA and showMA1 ? maValue1 : na, title='MA 1', color=color.green)
plot(showAllMA and showMA2 ? maValue2 : na, title='MA 2', color=color.fuchsia)
plot(showAllMA and showMA3 ? maValue3 : na, title='MA 3', color=color.red)
plot(showAllMA and showMA4 ? maValue4 : na, title='MA 4', color=color.red)
PRADEEP Scalping Buy/Sell TIME FRAME : 5MIN ONLY
BUY : Only above EMA 50 ( Higher Probabilities above VWAP and EMA 50)
SELl : Only below EMA 50 ( Higher Probabilities below VWAP and EMA 50)
sangram RSI Candlesticks//@version=5
indicator('sangram RSI Candlesticks', shorttitle='sangram RSI', overlay=false)
// RSI Settings
rsiPeriod = input.int(40, title='RSI Period', minval=1)
rsiSource = close
rsiValue = ta.rsi(rsiSource, rsiPeriod)
// Toggle Visibility
showRSILine = input(true, title='Make the RSI Glow')
showAllMA = input(true, title="Show ALL Moving Averages")
showMA1 = input(true, title='Show Moving Average 1')
showMA2 = input(true, title='Show Moving Average 2')
showMA3 = input(true, title='Show Moving Average 3')
showMA4 = input(true, title='Show Moving Average 4')
showBars = input(true, title='Show RSI OHLC Bars')
maLength1 = input.int(9, title='MA Length 1')
maLength2 = input.int(15, title='MA Length 2')
maLength3 = input.int(30, title='MA Length 3')
maLength4 = input.int(50, title='MA Length 4')
// Calculate OHLC Values for RSI
rsiOpen = na(rsiValue ) ? rsiValue : rsiValue
rsiHigh = ta.highest(rsiValue, rsiPeriod)
rsiLow = ta.lowest(rsiValue, rsiPeriod)
// Define Colors
barUpColor = color.new(color.green, 0)
barDownColor = color.new(color.red, 0)
barColor = rsiOpen < rsiValue ? barUpColor : barDownColor
// Plot RSI OHLC Bars
plotcandle(showBars ? rsiOpen : na, rsiHigh, rsiLow, rsiValue, title="RSI OHLC", color=barColor, wickcolor=color.new(color.white, 100), bordercolor=barColor)
// Horizontal Lines
hline(70, "Oversold", color.new(color.red, 80), linewidth = 2, linestyle = hline.style_solid)
hline(70, "Oversold", color.new(color.red, 85), linewidth = 12, linestyle = hline.style_solid)
hline(70, "Oversold", color.new(color.red, 90), linewidth = 24, linestyle = hline.style_solid)
hline(70, "Oversold", color.new(color.red, 95), linewidth = 36, linestyle = hline.style_solid)
hline(50, "Mid", color=color.gray)
hline(30, "Oversold", color.new(color.green, 80), linewidth = 2, linestyle = hline.style_solid)
hline(30, "Oversold", color.new(color.green, 85), linewidth = 12, linestyle = hline.style_solid)
hline(30, "Oversold", color.new(color.green, 90), linewidth = 24, linestyle = hline.style_solid)
hline(30, "Oversold", color.new(color.green, 95), linewidth = 36, linestyle = hline.style_solid)
// Plot RSI Line
rsiColor1 = color.new(color.blue, 30)
rsiColor2 = color.new(color.blue, 80)
rsiColor3 = color.new(color.blue, 85)
plot(showRSILine ? rsiValue : na, title='RSI', color=rsiColor1, linewidth=2)
plot(showRSILine ? rsiValue : na, title='RSI', color=rsiColor2, linewidth=10)
plot(showRSILine ? rsiValue : na, title='RSI', color=rsiColor3, linewidth=16)
// Moving Average
maValue1 = ta.sma(rsiValue, maLength1)
maValue2 = ta.sma(rsiValue, maLength2)
maValue3 = ta.sma(rsiValue, maLength3)
maValue4 = ta.sma(rsiValue, maLength4)
plot(showAllMA and showMA1 ? maValue1 : na, title='MA 1', color=color.green)
plot(showAllMA and showMA2 ? maValue2 : na, title='MA 2', color=color.fuchsia)
plot(showAllMA and showMA3 ? maValue3 : na, title='MA 3', color=color.red)
plot(showAllMA and showMA4 ? maValue4 : na, title='MA 4', color=color.red)
Enhanced Market Analyzer with Adaptive Cognitive LearningThe "Enhanced Market Analyzer with Advanced Features and Adaptive Cognitive Learning" is an advanced, multi-dimensional trading indicator that leverages sophisticated algorithms to analyze market trends and generate predictive trading signals. This indicator is designed to merge traditional technical analysis with modern machine learning techniques, incorporating features such as adaptive learning, Monte Carlo simulations, and probabilistic modeling. It is ideal for traders who seek deeper market insights, adaptive strategies, and reliable buy/sell signals.
Key Features:
Adaptive Cognitive Learning:
Utilizes Monte Carlo simulations, reinforcement learning, and memory feedback to adapt to changing market conditions.
Adjusts the weighting and learning rate of signals dynamically to optimize predictions based on historical and real-time data.
Hybrid Technical Indicators:
Custom RSI Calculation: An RSI that adapts its length based on recursive learning and error adjustments, making it responsive to varying market conditions.
VIDYA with CMO Smoothing: An advanced moving average that incorporates Chander Momentum Oscillator for adaptive smoothing.
Hamming Windowed VWMA: A volume-weighted moving average that applies a Hamming window for smoother calculations.
FRAMA: A fractal adaptive moving average that responds dynamically to price movements.
Advanced Statistical Analysis:
Skewness and Kurtosis: Provides insights into the distribution and potential risk of market trends.
Z-Score Calculations: Identifies extreme market conditions and adjusts trading thresholds dynamically.
Probabilistic Monte Carlo Simulation:
Runs thousands of simulations to assess potential price movements based on momentum, volatility, and volume factors.
Integrates the results into a probabilistic signal that informs trading decisions.
Feature Extraction:
Calculates a variety of market metrics, including price change, momentum, volatility, volume change, and ATR.
Normalizes and adapts these features for use in machine learning algorithms, enhancing signal accuracy.
Ensemble Learning:
Combines signals from different technical indicators, such as RSI, MACD, Bollinger Bands, Stochastic Oscillator, and statistical features.
Weights each signal based on cumulative performance and learning feedback to create a robust ensemble signal.
Recursive Memory and Feedback:
Stores and averages past RSI calculations in a memory array to provide historical context and improve future predictions.
Adaptive memory factor adjusts the influence of past data based on current market conditions.
Multi-Factor Dynamic Length Calculation:
Determines the length of moving averages based on volume, volatility, momentum, and rate of change (ROC).
Adapts to various market conditions, ensuring that the indicator is responsive to both high and low volatility environments.
Adaptive Learning Rate:
The learning rate can be adjusted based on market volatility, allowing the system to adapt its speed of learning and sensitivity to changes.
Enhances the system's ability to react to different market regimes.
Monte Carlo Simulation Engine:
Simulates thousands of random outcomes to model potential future price movements.
Weights and aggregates these simulations to produce a final probabilistic signal, providing a comprehensive risk assessment.
RSI with Dynamic Adjustments:
The initial RSI length is adjusted recursively based on calculated errors between true RSI and predicted RSI.
The adaptive RSI calculation ensures that the indicator remains effective across various market phases.
Hybrid Moving Averages:
Short-Term and Long-Term Averages: Combines FRAMA, VIDYA, and Hamming VWMA with specific weights for a unique hybrid moving average.
Weighted Gradient: Applies a color gradient to indicate trend strength and direction, improving visual clarity.
Signal Generation:
Generates buy and sell signals based on the ensemble model and multi-factor analysis.
Uses percentile-based thresholds to determine overbought and oversold conditions, factoring in historical data for context.
Optional settings to enable adaptation to volume and volatility, ensuring the indicator remains effective under different market conditions.
Monte Carlo and Learning Parameters:
Users can customize the number of Monte Carlo simulations, learning rate, memory factor, and reward decay for tailored performance.
Applications:
Scalping and Day Trading:
The fast response of the adaptive RSI and ensemble learning model makes this indicator suitable for short-term trading strategies.
Swing Trading:
The combination of long-term moving averages and probabilistic models provides reliable signals for medium-term trends.
Volatility Analysis:
The ATR, Bollinger Bands, and adaptive moving averages offer insights into market volatility, helping traders adjust their strategies accordingly.
Stan Weinstein's Relative StrengthThis script is an implementation of Stan Weinstein's relative strength as defined in his book, Secrets for Profiting in Bull and Bear Markets. Relative strength compares the performance of a stock against a market index.
The formula for relative strength is the price of a stock divided by the price of a market average. I have added an option for smoothing the relative strength, but I do not use it.
I recommend plotting relative strength on a log axis.
Stan Weinstein's relative strength is NOT to be confused with the Relative Strength Index (RSI).
Body-to-Wick Ratio Candle Highlighter with Tolerance
Indicator which can help identify candles with body to wick ratio.
Highighting candles with specific measurements
Jurik / HMA with Ribbon
**Jurik / HMA with Ribbon**
This script combines the Jurik Moving Average (JMA), Exponential Moving Average (EMA), and Hull Moving Average (HMA) to provide a comprehensive trend-following tool with a visual ribbon background. Each of these moving averages is tuned for a unique view of market trends, and the script highlights potential momentum changes based on the alignment of these averages.
### Key Components:
1. **Jurik Moving Average (JMA)**:
- JMA is a smooth, adaptive moving average that filters out noise while remaining responsive to price changes.
- The script allows customization of JMA's `length`, `phase`, and `power` parameters to suit different trading styles.
- When the JMA turns from red to green (or vice versa), it indicates a potential momentum shift based on the current price action relative to the previous bar.
2. **Exponential Moving Average (EMA)** and **Hull Moving Average (HMA)**:
- Both EMA and HMA are popular moving averages in technical analysis.
- EMA responds more quickly to recent price changes, while HMA is known for smoothing out price data while reducing lag.
- The `length` for both EMA and HMA can be customized, with a default value of 15.
3. **Ribbon Background**:
- This script creates a "ribbon" effect in the background, highlighting when the JMA is above or below both the EMA and HMA:
- **Green Ribbon**: Indicates a potential bullish trend when JMA is above both EMA and HMA.
- **Red Ribbon**: Indicates a potential bearish trend when JMA is below both EMA and HMA.
- The ribbon provides a clear visual cue, making it easy to identify trend changes at a glance.
### Inputs:
- **JMA Length, Phase, and Power**: Parameters to fine-tune the behavior of the Jurik Moving Average.
- **EMA/HMA Length**: Shared length parameter for both the EMA and HMA, with a default of 15.
- **Highlight Movements**: Option to enable/disable color changes for the JMA based on movement direction.
### Plotting:
- The script plots the JMA, EMA, and HMA lines on the chart, color-coded for easy identification.
- The JMA line changes color based on movement direction, with green for upward movements and red for downward.
- EMA and HMA lines are shown in blue and purple, respectively, for added clarity.
### How to Use:
This indicator can be useful for identifying trend direction and strength:
- When all three moving averages (JMA, EMA, and HMA) align with the same direction and the ribbon color matches, it signals a strong trend.
- This script is ideal for trend-following strategies, as well as for identifying potential reversals when the JMA crosses below or above the EMA/HMA.
### Note:
As always, this indicator should be used alongside other tools or analysis techniques to confirm signals and manage risk effectively.
---
This description should help users understand the functionality and purpose of the script when they see it on TradingView. Let me know if you'd like any further customization!
Kijun-sen (基準線)説明文
概要
このスクリプトは、Ichimoku Kinko Hyo（一目均衡表）の基準線（Kijun-sen）のみを表示するシンプルなインジケーターです。一目均衡表の複雑な構成をシンプル化し、基準線だけに集中して分析することができます。
特徴
基準線（Kijun-sen）の表示
指定した期間（デフォルト：26期間）の最高値と最安値の中間値を計算し、ラインとして描画します。
カスタマイズ可能
基準線の計算期間を自由に変更可能です（デフォルト：26期間）。
線の色や太さもコード内で調整可能です。
シンプルな視覚化
一目均衡表全体の複雑な要素を排除し、基準線だけに集中することで、トレンドやサポート・レジスタンスを簡単に分析できます。
使用例
トレンドフォロー
基準線が価格の上にある場合は下降トレンド、下にある場合は上昇トレンドの可能性を示唆します。
サポートとレジスタンスの判定
基準線は価格が意識されるラインとなるため、サポートラインまたはレジスタンスラインとして機能することがあります。
使い方
インジケーターをチャートに追加
TradingViewのチャートで、このインジケーターを適用してください。
期間を調整
デフォルトの26期間を変更したい場合は、入力フィールドから自由に調整してください。
注意事項
このスクリプトは、他の一目均衡表の要素（雲、転換線、遅行スパンなど）を表示しません。必要に応じて追加のスクリプトを組み合わせてください。
適用対象
初心者からプロのトレーダーまで、トレンドフォローやサポート・レジスタンスの判定に基準線を活用したい方に適しています。
yeni nesilbu indikatör borsa gakgom (murat aslanmirza )tarafından düzenlenmiş olup özel ayarlar içermektedir kullanım için uygun sonuçlar vermeyebilir
ThrisoolIt is three consecutive red candle ..
it will give alert on three red candle in chart
three red candle gives bearish confirmation on any time frame,.
can take bear trade
BMSB Breakout StrategyPrueba este código en TradingView y verifica si los puntos de compra y venta se alinean con tus expectativas para la ruptura de la estructura de mercado (BMSB).
Smart Entry & Exit Zones for CryptoАнализ волатильности: Определение текущей волатильности криптовалют на основе ATR (Average True Range), а также применение собственных формул для выявления зон сильных движений. ATR поможет определить средние колебания цены и выбрать оптимальные уровни стоп-лосс и тейк-профит.
Влияние BTC и ETH: Скрипт будет анализировать корреляцию с основными криптовалютами (BTC и ETH), чтобы учитывать их влияние на остальные активы. Например, падение BTC может сигнализировать об общем снижении рынка, что стоит учитывать при выборе направления позиции.
Определение зон входа и выхода: Скрипт будет использовать комбинацию индикаторов, таких как RSI (Relative Strength Index), MACD, и EMA (Exponential Moving Average) для определения зон перекупленности и перепроданности. Также будет использоваться объем (Volume Profile) для выявления уровней интереса рынка.
Визуальные сигналы: Скрипт будет показывать сигналы на графике для входа в позицию, а также уровни для установки стоп-лосса и тейк-профита. Эти сигналы будут отображаться в виде стрелок или меток.
3 CANDLE SUPPLY/DEMANDExplanation of the Code:
Demand Zone Logic: The script checks if the second candle closes below the low of the first candle and the third candle closes above both the highs of the first and second candles.
Zone Plotting: Once the pattern is identified, a demand zone is plotted from the low of the first candle to the high of the third candle, using a dashed green line for clarity.
Markers: A small triangle marker is added below the bars where a demand zone is detected for easy visualization.
Efficient Logic: The script checks the conditions for demand zone formation for every three consecutive candles on the chart.
This approach should be both accurate and efficient in plotting demand zones, making it easier to spot potential support levels on the chart.
Previous Day High and Low Count
Script Description: "Previous Day High and Low Count"
This Pine Script has been developed to count the number of days where the price of an asset has not reached the high or low of the previous day. It displays these counts as labels on the chart. The script works with the previous day's highs and lows and checks whether the current day has touched the high or low of the previous day.
Main Features:
Counting Days Without Touching the Previous Day's High or Low:
The script tracks how many consecutive days the high or low of the previous day has not been reached.
High Count: Counts how many consecutive days the high of the previous day has not been exceeded.
Low Count: Counts how many consecutive days the low of the previous day has not been undercut.
Calculating the Previous Day's Highs and Lows:
Each day, the highs and lows of the previous day are queried and stored in arrays.
The last 10 days are checked to determine whether the price has reached the high or low of the previous day.
Detecting a New Trading Day:
The script automatically detects when the current day is a new daily candle (i.e., the start of a new trading day), and then resets the count for the days that have not touched the high or low of the previous day.
Visualization:
Two labels are created on the chart to display the count of days:
A High Label, showing the number of days the high of the previous day has not been touched.
A Low Label, showing the number of days the low of the previous day has not been touched.
These labels are positioned at the upper-right and lower-right corners of the chart, based on user preferences.
Custom Inputs:
X and Y Offsets for Label Position: Allows precise control over where the labels are displayed on the chart.
Label Size and Color: Users can adjust the size and color of the high and low labels according to their preferences.
Label Text: The user can modify the text displayed in the label counters.
Visual Representation of the Previous Day's High and Low:
The script plots the previous day's high (green) and low (red) on the chart for easy visual analysis.
Summary:
This script is particularly useful for traders who focus on the dynamics between the current price and the previous day's levels. It helps identify trading patterns where the high or low of the previous day has not been reached multiple times, which could indicate a specific market condition or price stability. The count of days without touching the previous day's high or low can serve as an additional indicator for market strength or potential reversal points.
Enhanced London Session SMC SetupEnhanced London Session SMC Setup Indicator
This Pine Script-based indicator is designed for traders focusing on the London trading session, leveraging smart money concepts (SMC) to identify potential trading opportunities in the GBP/USD currency pair. The script uses multiple techniques such as Order Block Detection, Imbalance (Fair Value Gap) Analysis, Change of Character (CHoCH) detection, and Fibonacci retracement levels to aid in market structure analysis, providing a well-rounded approach to trade setups.
Features:
London Session Highlight:
The indicator visually marks the London trading session (from 08:00 AM to 04:00 PM UTC) on the chart using a blue background, signaling when the high-volume, high-impulse moves tend to occur, helping traders focus their analysis on this key session.
Order Block Detection:
Identifies significant impulse moves that may form order blocks (supply and demand zones). Order blocks are areas where institutions have executed large orders, often leading to price reversals or continuation. The indicator plots the high and low of these order blocks, providing key levels to monitor for potential entries.
Imbalance (Fair Value Gap) Detection:
Detects and highlights price imbalances or fair value gaps (FVG) where the market has moved too quickly, creating a gap in price action. These areas are often revisited by price, offering potential trade opportunities. The upper and lower bounds of the imbalance are visually marked for easy reference.
Change of Character (CHoCH) Detection:
This feature identifies potential trend reversals by detecting significant changes in market character. When the price action shifts from bullish to bearish or vice versa, a CHoCH signal is triggered, and the corresponding level is marked on the chart. This can help traders catch trend reversals at key levels.
Fibonacci Retracement Levels:
The script calculates and plots the key Fibonacci retracement levels (0.618 and 0.786 by default) based on the highest and lowest points over a user-defined swing lookback period. These levels are commonly used by traders to identify potential pullback zones where price may reverse or find support/resistance.
Directional Bias Based on Market Structure:
The indicator provides a market structure analysis by comparing the current highs and lows to the previous periods' highs and lows. This helps in identifying whether the market is in a bullish or bearish state, providing a clear directional bias for trade setups.
Alerts:
The indicator comes with built-in alert conditions to notify the trader when an order block, imbalance, CHoCH, or other significant price action event is detected, ensuring timely action can be taken.
Ideal Usage:
Timeframe: Suitable for intraday trading, particularly focusing on the London session (08:00 AM to 04:00 PM UTC).
Currency Pair: Specifically designed for GBP/USD but can be adapted to other pairs with similar market behavior.
Trading Strategy: Best used in conjunction with a price action strategy, focusing on the key levels identified (order blocks, FVG, CHoCH) and using Fibonacci retracement levels for precision entries.
Target Audience: Ideal for traders who follow smart money concepts (SMC) and are looking for a structured approach to identify high-probability setups during the London session.
ORB with Buy and Sell Signals BY NAT LOGThis indicator for intraday when first candle of high and low breaches generate buy and sell signals, target should be earlier previous day first 15 min high or low
Three Consecutive Green Candles with Higher Highsthree consecutive green candle s used for bullish trend
can use in any time frame
target should be nearest resistance point,..dont expect much higher in lower time frames.
