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.
Indikator dan strategi
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.
9 EMA & 50 EMA CrossoverOverview
The 9 EMA & 50 EMA Crossover Indicator is a simple yet effective tool designed to identify potential buy and sell opportunities based on moving average crossovers. It helps traders spot trend changes by comparing a short-term 9-period Exponential Moving Average (EMA) with a long-term 50-period EMA.
How It Works
Buy Signal (Bullish Crossover) 🟢: When the 9 EMA crosses above the 50 EMA, a BUY signal is triggered, indicating a potential uptrend.
Sell Signal (Bearish Crossover) 🔴: When the 9 EMA crosses below the 50 EMA, a SELL signal is triggered, indicating a potential downtrend.
Features
✅ Clear Visuals – Plots the 9 EMA (Blue) and 50 EMA (Red) on the chart.
✅ Buy & Sell Signals – Green "BUY" labels appear when the short EMA crosses above the long EMA, while red "SELL" labels appear when it crosses below.
✅ Alerts Support – Get notified instantly when a crossover occurs, making it perfect for automated trading strategies.
✅ Easy to Use – Works on all timeframes and assets (stocks, forex, crypto, etc.).
How to Use
Add the indicator to your chart.
Look for buy signals when the 9 EMA crosses above the 50 EMA and sell signals when it crosses below.
Combine with other technical indicators (e.g., RSI, MACD) for confirmation before making trades.
🚀 Ideal for swing traders, trend traders, and day traders!
Bahubali indicatorIndicator: Last Daily Candle High, Low, and Close
This TradingView script plots horizontal lines on the chart representing the high, low, and close values of the previous day's candle. Here’s how it works:
indicator("Last Daily Candle High, Low, and Close", overlay=true)
This line defines the name of the indicator ("Last Daily Candle High, Low, and Close") and specifies that the indicator will be displayed on the main price chart (overlay=true).
2. Fetching Data from the Previous Day
pinescript
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prev_day_high = ta.valuewhen(timeframe.change("D"), high , 0) // Fetch yesterday's high
prev_day_low = ta.valuewhen(timeframe.change("D"), low , 0) // Fetch yesterday's low
prev_day_close = ta.valuewhen(timeframe.change("D"), close , 0) // Fetch yesterday's close
Fetching the High, Low, and Close:
The script fetches the high, low, and close of the previous day’s completed candle.
timeframe.change("D"): Detects when the day changes.
high , low , close : These references access the high, low, and close of the previous day's candle (using to access the prior bar's values).
ta.valuewhen: This function ensures the values are only fetched when the daily candle changes (i.e., once per day).
3. Initializing Line Variables
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var line high_line = na
var line low_line = na
var line close_line = na
Initializing Line Variables:
Three variables are declared to store the line objects for the high, low, and close levels of the previous day.
These variables are initialized as na, which means "Not Available," until the lines are created.
4. Updating Lines at the Start of Each Day
pinescript
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if timeframe.change("D")
// Remove old lines
line.delete(high_line)
line.delete(low_line)
line.delete(close_line)
Detecting New Day:
The if timeframe.change("D") block ensures the script detects when a new day starts.
When a new day starts, it deletes the previous day's lines to ensure no overlap.
5. Drawing New Lines
pinescript
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// Create new lines extending fully across the chart
high_line := line.new(x1=bar_index - 500, y1=prev_day_high, x2=bar_index + 500, y2=prev_day_high, color=color.red, width=2, extend=extend.both)
low_line := line.new(x1=bar_index - 500, y1=prev_day_low, x2=bar_index + 500, y2=prev_day_low, color=color.black, width=2, extend=extend.both)
close_line := line.new(x1=bar_index - 500, y1=prev_day_close, x2=bar_index + 500, y2=prev_day_close, color=color.blue, width=2, extend=extend.both)
Creating Horizontal Lines:
High Line: Drawn at the previous day's high, using a red color.
Low Line: Drawn at the previous day's low, using a black color.
Close Line: Drawn at the previous day's close, using a blue color.
Line Extensions:
The lines are extended from x1=bar_index - 500 to x2=bar_index + 500, meaning they will span a wide section of the chart from far left to far right, ensuring visibility.
extend=extend.both ensures the lines extend beyond the current bar in both directions.
Summary:
This TradingView indicator draws horizontal lines representing the high, low, and close levels of the previous day's candle. The lines are updated daily, with each new day resetting the previous lines and drawing new ones at the appropriate levels for that day’s high, low, and close prices.
This tool helps traders quickly identify important price levels from the previous trading day, which can act as potential support or resistance levels.
Pua's Weekly TemplateThis indicator plots the Current weekly open and uses the first day of the week as the opening range for the week. It plots the high, low and median for this range as well as standard deviations.
DrNon EMA5 Cross-Up EMA200 ATR Stop📌 EMA5 Cross-Up EMA200 Strategy with ATR Trailing Stop & Take-Profit
This TradingView strategy enters a long trade when the 5 EMA crosses above the 200 EMA, signaling an uptrend. It uses an ATR-based trailing stop-loss and exits at a predefined take-profit percentage.
How It Works
1. Entry Condition → A long position is triggered when the 5 EMA crosses above the 200 EMA.
2. Stop-Loss (ATR-Based Trailing Stop) → The stop price is dynamically set at Close - (ATR * Multiplier), adjusting as the price moves up.
3. Take-Profit → The strategy exits if the price reaches 5% above entry.
4. Exit Condition → The trade closes when either the ATR trailing stop or the take-profit target is hit.
Why Use This?
✅ Trend-Following – Catches strong uptrends with EMA crossover.
✅ Dynamic Stop-Loss – Uses ATR to adapt to market volatility.
✅ Automated Risk Management – Ensures systematic exits.
This strategy works well in trending markets but may require filters to avoid false signals in sideways conditions. Traders can adjust ATR multipliers and take-profit % for optimization. 🚀
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.
Multi-Timeframe Open/Close LevelsThis level indicator can be used to help traders understand where Weekly, Daily, and 4 Hour closures happen. It allows level traders to buy at support and sell at resistance for most of their trades. As they understand where price action will move to, they can assume a price point will likely reverse or congest at different levels.
Example would be a seeing a weekly level directly above your current price action, therefore you will make your decision to short at the weekly level and allow your stop loss to be just over the weekly level.
337 Day EMA with buy/selll and uptrend downtrend Notifications!337 Day EMA with buy/selll and uptrend downtrend Notifications!
A a sophisticated trading tool designed to help traders identify significant market trends and make informed decisions. By leveraging the 337-day Exponential Moving Average (EMA), this indicator provides a clear visual representation of the long-term price trend of an asset. The EMA gives more weight to recent prices, making it a responsive and reliable indicator.
Key Features
337-day EMA Calculation
The indicator calculates the 337-day EMA, which smooths out price data and highlights the overall trend by giving greater significance to recent price changes.
Trend Identification
Uptrend: An uptrend is detected when the price crosses above the 337 EMA, signaling a potential bullish market. This is visually represented with a green "Uptrend" label below the corresponding bar.
Downtrend A downtrend is identified when the price crosses below the 337 EMA, indicating a potential bearish market. This is marked with a red "Downtrend" label above the corresponding bar.
Alert Notifications
The indicator includes built-in alert conditions for both uptrends and downtrends. Traders receive real-time notifications when the price crosses above or below the 337 EMA, ensuring they are promptly informed of significant market movements.
Customizable Visuals
The uptrend and downtrend labels are designed to be easily readable, with green "Uptrend" text boxes and red "Downtrend" text boxes, enhancing the clarity of the trend signals.
Benefits
Timely Alerts: Receive instant notifications about key trend changes, allowing for timely trading decisions.
Long-Term Perspective: The 337-day EMA provides a comprehensive view of the market's long-term trend, reducing the noise of short-term fluctuations.
Enhanced Readability: The clear visual labels for uptrends and downtrends make it easy to interpret the market conditions at a glance.
By integrating the "337 EMA with Uptrend/Downtrend Notifications" into your trading strategy, you can stay ahead of market trends and make more informed trading decisions. This tool is particularly useful for traders looking for a reliable way to identify long-term trends and react to significant market movements effectively.
Let me know if there's anything else you need or if you want more details! 📈
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.
MA Crossover Forex Bot by BomoloThis a simple trading strategy. MA cross overs. When the 21 Moving average cross over 50 moving average "GOLDEN CROSS" the bot take long trade. and when 50 moving average crosses over 21 moving average "DEATH" cross. The bot takesshort trade
BLAKFX Trading SystemYour indicator is an advanced Smart Money Concepts (SMC) trading system that combines multiple technical analysis approaches. Here's a detailed breakdown:
1. Core Components:
Market Structure Analysis:
- Break of Structure (BOS) detection
- Change of Character (CHOCH) identification
- Smart Money movement patterns
- Elliott Wave pattern tracking
Liquidity Analysis:
- Identifies buy and sell liquidity zones
- Marks liquidity points with circles (green for buy, red for sell)
- Tracks historical liquidity levels
Order Blocks:
- Detects bullish and bearish order blocks
- Shows them as colored boxes on the chart
- Uses volume confirmation for validation
Fair Value Gaps (FVG):
- Identifies both bullish and bearish FVGs
- Displays them as colored boxes
- Tracks historical FVG levels
2. Technical Elements:
Smart Money Technique (SMT):
- Uses EMA crossovers (50 and 200)
- Volume confirmation
- Shown as diamond shapes on the chart
Central Risk Transfer (CRT):
- Calculates equilibrium levels
- Shows as a yellow line on the chart
- Helps identify potential reversal zones
Elliott Wave Integration:
- Tracks wave counts
- Labels waves on the chart
- Helps with trend structure analysis
3. Trade Signals:
Entry Conditions:
- Long entries shown with green up arrows
- Short entries shown with red down arrows
- Combines multiple confirmations (SMT, liquidity, order blocks)
Visual Indicators:
- Color-coded for easy interpretation
- Historical signals maintained
- Clear entry and exit points
4. Risk Management:
- Built-in risk-reward ratio calculations
- ATR-based volatility consideration
- Clear trade information display
5. Customization Options:
Colors:
- Bullish/Bearish colors
- FVG colors
- Order block colors
Parameters:
- Lookback period
- Risk-reward ratio
- Various technical settings
6. Additional Features:
- Memory management (periodic array clearing)
- Alert conditions for entries
- Detailed trade information labels
- Historical pattern tracking
This indicator is particularly useful for traders who:
- Follow Smart Money Concepts
- Use institutional trading methods
- Need multiple confirmation layers
- Want clear visual signals
- Trade based on order flow and liquidity
Would you like me to elaborate on any particular aspect or explain how specific components work together?
Price Action Indicator (HarryDPotter)The "Enhanced Price Action Indicator" combines key technical analysis tools to identify high-probability trade entries in the crypto market. It integrates "price action" patterns (like bullish and bearish engulfing or pin bars) with trend confirmation from "EMA crossovers" and "ADX" for market strength. The indicator plots clear "long" and "short" signals based on these factors, with visual support and resistance levels, dynamic trendlines, and EMAs, helping traders make informed decisions during trending markets.
Normalized PVTNormalization of the PVT to avoid escalation problems.
The PVT is often lost when the timing of the graph changes, so valuable time is lost adjusting it. With this configuration, the adjustment is automatic to be displayed in the chosen time frame.
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Normalización del PVT para evitar problemas de escala.
El PVT suele perderse al cambiar la temporalidad del gráfico, por lo que se pierde valioso tiempo para ajustarlo. Con esta configuración, el ajuste es automático para ser visualizado en la temporalidad elegida.
WMA 15 Cross EMA 50 with Stop Loss and EntryExplanation of the Code:
Inputs:
wma_length: Length for the Weighted Moving Average (default: 15).
ema_length: Length for the Exponential Moving Average (default: 50).
stop_loss_percent: Percentage for the stop loss level (default: 1%).
Indicators:
ta.wma(close, wma_length): Calculates the Weighted Moving Average.
ta.ema(close, ema_length): Calculates the Exponential Moving Average.
Signals:
buy_signal: Generated when WMA crosses above EMA.
sell_signal: Generated when WMA crosses below EMA.
Stop Loss and Entry Price:
For a buy signal, the stop loss is calculated as entry_price * (1 - stop_loss_percent).
For a sell signal, the stop loss is calculated as entry_price * (1 + stop_loss_percent).
The entry price is the closing price at the time of the signal.
Plotting:
WMA and EMA are plotted on the chart.
Buy and sell signals are marked with labels.
Stop loss and entry price levels are plotted as horizontal lines.
Alerts:
Alerts are triggered when buy or sell signals are generated.
Previous 4H Candle Open and Close Vertical LinesPrevious 4H open and close for entry.
This indicator is useful for traders who want to visualize the start and end of the previous 4-hour candle. It can help identify key levels, such as support and resistance, or analyze price action around these times.
Let me know if you need further assistance!
