Camarilla Pivot Points by rkConditional Visibility:
Instead of using if blocks, the visibility of each plot is controlled by passing na (not available) when the corresponding toggle is turned off.
Usage of plot:
Each plot call is outside of any conditional block, ensuring it meets Pine Script's requirements.
Inputs for User Control:
The show_pivots, show_supports, and show_resistances inputs control whether each level is plotted.
How to Use:
Copy and paste this script into the Pine Editor in TradingView.
Click Add to Chart.
Use the input options to toggle visibility for pivot, resistance, and support levels.
Индикаторы и стратегии
Chandelier Exit with MACD AlignmentCE often gives late buy and sell singals. I managed to modify the CE source code and align it with the MACD. This way the buy/sell labels will appear closer to the signal line crossover. Still may need further adjustments but gives definitely better entry position signals. This is for personal use only and not intended for strategy if not backtested individually. I am not responsible for profit loss if used without being backtested.
S & R - Trend Lines & Channels (Prince of Arabs)Support and Resistance with Trend Channels
This indicator identifies key support and resistance levels based on swing highs and lows over a user-defined lookback period. It also visualizes dynamic trend channels to help traders understand price ranges and market structure.
Key features include:
Support Level: Marked with a green line and labeled "Support," indicating potential buying areas.
Resistance Level: Marked with a red line and labeled "Resistance," indicating potential selling areas.
Trend Channels: Dashed blue (upper) and purple (lower) lines show the price range above resistance and below support, helping to identify overbought and oversold conditions.
Clear Entry Signals: A "Buy" label is displayed near the price when it approaches the support level within a user-defined backtesting range.
Stop Loss and Take Profit Levels: Automatically calculated based on customizable percentages and visualized on the chart for each trade.
Risk-to-Reward Visualization: The indicator simplifies risk management by showing trade levels dynamically.
Special indicator CHoCH, Trend, Candlestick, RSI, Channel, S&DBuy and Sell Signal Conditions: We now combine multiple conditions like candlestick patterns, trend analysis (CHoCH), and support/resistance to generate valid buy and sell signals.
RSI Confirmation: RSI is used only as confirmation for the signals and is not the sole condition for generating a signal.
Entry Points: Buy and sell signals will appear only when the conditions are met.
Exit Points: Exit points are displayed using plotshape when conditions like trend reversal or opposite signals occur.
How this script works:
Buy Signals are generated when a bullish candlestick or bullish pin bar occurs at or above a support level, and the market is in an uptrend with a bullish CHoCH. The RSI must also be in the oversold region for confirmation.
Sell Signals are generated when a bearish candlestick or bearish pin bar occurs at or below a resistance level, and the market is in a downtrend with a bearish CHoCH. The RSI must also be in the overbought region for confirmation.
Exit signals are generated if the opposite trend occurs or if the price moves beyond the support or resistance levels.
Support and Resistance Lines are drawn to help you visualize potential entry and exit zones.
Next Steps:
You can now test this on your chart to see the buy and sell signals generated.
If you still face any issues with the strategy, let me know so we can troubleshoot and refine it further.
Daily Ichimoku Cloud Breakout Signalsoffre des signaux d'achats et de vente grace a l'ichimoku (prendre en compte que les signaux daily)
5분봉 자동매매 전략 (최적화: 안정화)//@version=5
strategy("5분봉 자동매매 전략 (최적화: 안정화)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// === PARAMETERS ===
// RSI
rsiPeriod = input.int(14, title="RSI Period", minval=1)
overbought = input.float(70.0, title="RSI Overbought Level", step=0.1)
oversold = input.float(30.0, title="RSI Oversold Level", step=0.1)
// 이동평균선
smaShort = input.int(50, title="Short SMA Length", minval=1)
smaLong = input.int(200, title="Long SMA Length", minval=1)
// 거래량 필터
volumeThreshold = input.float(1.2, title="Volume Multiplier", step=0.1)
// 리스크 관리
takeProfit = input.float(3.0, title="Take Profit %", step=0.1)
stopLoss = input.float(1.0, title="Stop Loss %", step=0.1)
trailOffset = input.float(0.5, title="Trailing Stop Offset (Points)", step=0.1)
// === INDICATORS ===
rsiValue = ta.rsi(close, rsiPeriod)
smaShortValue = ta.sma(close, smaShort)
smaLongValue = ta.sma(close, smaLong)
= ta.macd(close, 12, 26, 9)
= ta.bb(close, 20, 2)
avgVolume = ta.sma(volume, 20)
// 상위 시간대 RSI 필터
higherRSI = request.security(syminfo.tickerid, "15", ta.rsi(close, rsiPeriod), lookahead=barmerge.lookahead_on)
// === LONG ENTRY CONDITION ===
longCondition = (rsiValue < oversold) and
(smaShortValue > smaLongValue) and
(macdLine > signalLine) and
(close <= lowerBB) and
(volume > avgVolume * volumeThreshold) and
(higherRSI < 50)
// === SHORT ENTRY CONDITION ===
shortCondition = (rsiValue > overbought) and
(smaShortValue < smaLongValue) and
(macdLine < signalLine) and
(close >= upperBB) and
(volume > avgVolume * volumeThreshold) and
(higherRSI > 50)
// === POSITIONS ===
if (longCondition and strategy.position_size == 0)
strategy.entry("Long", strategy.long)
strategy.exit("Long Exit", stop=strategy.position_avg_price * (1 - stopLoss / 100), limit=strategy.position_avg_price * (1 + takeProfit / 100), trail_points=trailOffset)
if (shortCondition and strategy.position_size == 0)
strategy.entry("Short", strategy.short)
strategy.exit("Short Exit", stop=strategy.position_avg_price * (1 + stopLoss / 100), limit=strategy.position_avg_price * (1 - takeProfit / 100), trail_points=trailOffset)
// === 손절 신호 표시 ===
var bool stopLongShown = false
var bool stopShortShown = false
if (strategy.position_size > 0 and close <= strategy.position_avg_price * (1 - stopLoss / 100) and not stopLongShown)
label.new(bar_index, close, text="STOP_LONG", color=color.red, style=label.style_label_down, textcolor=color.white)
stopLongShown := true
if (strategy.position_size < 0 and close >= strategy.position_avg_price * (1 + stopLoss / 100) and not stopShortShown)
label.new(bar_index, close, text="STOP_SHORT", color=color.red, style=label.style_label_up, textcolor=color.white)
stopShortShown := true
if (strategy.position_size == 0)
stopLongShown := false
stopShortShown := false
// === VISUAL INDICATORS ===
plot(smaShortValue, title="SMA 50", color=color.blue)
plot(smaLongValue, title="SMA 200", color=color.red)
plot(upperBB, title="Upper BB", color=color.green)
plot(lowerBB, title="Lower BB", color=color.red)
plot(rsiValue, title="RSI", color=color.purple)
plot(longCondition ? close : na, title="Long Signal", style=plot.style_cross, color=color.green, linewidth=2)
plot(shortCondition ? close : na, title="Short Signal", style=plot.style_cross, color=color.red, linewidth=2)
My strategy**Overview:**
This TradingView strategy implements a simple moving average (SMA) crossover system to identify potential buy and sell opportunities. It operates directly on the chart as an overlay, making it easy to visualize the entry points for both long and short positions.
---
**How It Works:**
1. **Long Condition:**
- A **long entry** is triggered when the 14-period SMA crosses above the 28-period SMA.
- This condition indicates a potential bullish trend where prices are gaining upward momentum.
2. **Short Condition:**
- A **short entry** is triggered when the 14-period SMA crosses below the 28-period SMA.
- This condition indicates a potential bearish trend where prices are losing upward momentum.
---
**Key Features:**
- **Overlay:** The strategy is applied directly to the chart, making it easy to align with price action.
- **Dynamic Entries:** Entry points for both long and short positions are based on SMA crossovers.
- **Fill Orders on Standard OHLC:** Ensures trades are executed using standard OHLC data for accuracy.
---
**Usage:**
- This strategy is ideal for traders who prefer straightforward technical analysis methods.
- It can be applied to various asset classes such as stocks, forex, and cryptocurrencies.
---
**Disclaimer:**
- This strategy is for educational purposes and is not financial advice. Test thoroughly in a simulated environment before using it in live trading.
BK BB Horizontal LinesIndicator Description:
I am incredibly proud and excited to share my second indicator with the TradingView community! This tool has been instrumental in helping me optimize my positioning and maximize my trades.
Bollinger Bands are a critical component of my trading strategy. I designed this indicator to work seamlessly alongside my previously introduced tool, "BK MA Horizontal Lines." This indicator focuses specifically on the Daily Bollinger Bands, applying horizontal lines to the bands which is displayed in all timeframes. The Daily bands in my opinion hold a strong significance when it comes to support and resistance, knowing your current positioning and maximizing your trades. The settings are fully adjustable to suit your preferences and trading style.
If you find success with this indicator, I kindly ask that you give back in some way through acts of philanthropy, helping others in the best way you see fit.
Good luck to everyone, and always remember: God gives us everything. May all the glory go to the Almighty!
Bull Market Support Band Strategy rbsemteiThis strategy uses the weekly 20-period SMA and 21-period EMA to determine buy and sell signals. It buys when the EMA crosses above the SMA and sells (or closes the position) when the EMA crosses below the SMA. The strategy uses 100% of available equity for trades, includes a 10% equity stop-loss, and accounts for a commission of 0.1% and slippage of 3 ticks. It is designed to match weekly calculations on a daily timeframe without peeking ahead at future data.
ROE BandROE Band shows the return on net profit from shareholders' equity and the formula for decomposition
ROE = ROA x CSL x CEL
ROE Band consists of 5 parts:
1. ROE (TTM) is the 12-month ROE calculation in "green"
2. Return on Equity (ROE) is the current quarterly net profit / the average of the beginning and ending periods of shareholders' equity in "yellow"
3. Return on Assets (ROA) is the current quarterly NOPAT (net profit before tax) / the average of the beginning and ending periods of total assets in "blue"
4. Capital structure leverage (CSL) is a financial measure that compares a company's debt to its total capital. It is calculated by taking the average of the beginning and ending periods of total assets / the average of the beginning and ending periods of shareholders' equity. The higher the CSL, the more deb, in. "red"
5. Common earnings leverage (CEL) is the proportion of net profit and NOPAT (net profit before tax), where a lower CEL means more tax, in "orange"
The "😱" emoji represents the value if it increases by more than or decreases by less than 20%, e.g.
- ROE(TTM), ROE, ROA, CEL is decreasing
- CSL is increasing
The "🔥" emoji represents the value if it increases by more than or decreases, e.g.
- ROE(TTM), ROE, ROA, CEL is increasing
- CSL is decreasing
RSI+MFI VisualizerRSI+MFI Visualizer
The RSI+MFI Visualizer is a simple yet effective indicator that combines price momentum and volume dynamics into one clear visual representation. It is designed to help traders quickly identify market trends, momentum shifts, and overbought/oversold conditions.
Here’s a description tailored for publishing your RSI+MFI Visualizer script:
RSI+MFI Visualizer
The RSI+MFI Visualizer is a simple yet effective indicator that combines price momentum and volume dynamics into one clear visual representation. It is designed to help traders quickly identify market trends, momentum shifts, and overbought/oversold conditions.
Key Features:
RSI+MFI Calculation:
This indicator blends the Relative Strength Index (RSI) and Money Flow Index (MFI), providing a unique perspective on price action and volume movement.
Dynamic Visualization:
-Green Line: Indicates positive RSI+MFI values, suggesting bullish momentum.
-Red Line: Indicates negative RSI+MFI values, suggesting bearish momentum.
Zero Line Reference:
A dotted zero line makes it easy to distinguish between bullish and bearish market conditions.
Customizable Parameters:
Flexible input settings for RSI+MFI period and multiplier to suit different trading styles and timeframes.
How to Use:
Trend Identification:
Use the green and red lines to gauge bullish or bearish momentum in the market.
Reversal Signals:
Look for crossovers of the zero line to spot potential trend reversals.
Overbought/Oversold Zones:
Pair this indicator with other tools like RSI or Stochastic for enhanced accuracy.
SMC & CMP Indicator v1Fixed missing some SMN candles
The “SMC & CMP Indicator” is a powerful tool designed for traders who seek to capitalize on specific candlestick patterns indicative of potential market reversals or consolidations. This versatile indicator combines the detection of SMC (Significant Market Change) patterns and CMP (Compensation Point) candles into a single, user-friendly tool. It allows traders to independently monitor bullish, bearish, or both types of patterns simultaneously, depending on their trading strategies.
Features
• Dual Functionality: Seamlessly integrates two popular trading indicators – SMC and CMP – providing comprehensive market analysis.
• Customizable Settings: Users can choose to activate alerts for bullish, bearish, or both conditions for each type of pattern. This feature offers unmatched flexibility in tailoring the tool to various trading styles and market conditions.
• Visual Clarity: Uses distinct colors and markers to highlight the identified patterns directly on the trading chart, enhancing the visual experience and making it easier to spot potential trading opportunities.
• Adjustable Timeframes: Compatible with multiple timeframes, this indicator can be adjusted to work on minute-based intervals such as 15, 30, and 60 minutes, making it suitable for day traders and swing traders alike.
• Transparency and Precision: Each pattern type (SMC and CMP) is clearly defined within the script, ensuring that traders understand exactly what is being detected and displayed.
Use Case
The indicator is ideal for traders who:
• Monitor multiple patterns and require an efficient way to manage these observations without switching between different tools.
• Desire an in-depth analysis of market conditions to make informed decisions based on established candlestick patterns.
• Appreciate a clean and organized chart without the clutter of multiple indicators.
Technical Details
• SMC Detection: Identifies engulfing patterns where the current candle completely overlaps the range of the previous candle.
• CMP Detection: Looks for candles where the current candle’s high is lower and the low is higher than the previous one, indicating a pause or shift in market momentum.
• Color Coding: Bullish patterns are marked with a light blue color (#9cf5fb) at 20% transparency, while bearish patterns are highlighted in purple (#9a74e2) with similar transparency settings, aiding quick identification.
Dead Zone HighlighterDead Zone Highlighter: A precise tool for marking low-probability trading zones between the daily open and the last 15-minute close of the first 2 hours. Simplify your decision-making by identifying non-trading zones with clear visual cues.
Full Spectrum Delta BandsI created the Full Spectrum Delta Bands (FullSpec ΔBB) to go beyond traditional Bollinger Bands by incorporating both OHLC (Open, High, Low, Close) and Close-based data into the calculations. Instead of relying solely on closing prices, this indicator evaluates deviations from the complete bar range (OHLC), offering a more accurate view of market behavior.
A key feature is the Delta Flip, which highlights shifts between OHLC and Close-based bands. These flips are visually marked with color changes, signaling potential trend reversals, breakout zones, or volatility shifts. Traders can use these moments as inflection points to refine their entry and exit strategies.
The indicator also supports customizable sensitivity and deviation multiplier settings, allowing it to adapt to different trading styles and timeframes. Lower deviation values (e.g., 1σ or 1.5σ) are ideal for scalping on shorter timeframes like 5-min or 15-min charts, while higher values (e.g., 2.5σ or 3σ) are better suited for long-term trend analysis on weekly or monthly charts. The standard deviation multiplier fine-tunes the upper and lower bands to match specific trading goals and market conditions.
I designed Full Spectrum Delta Bands to provide deeper insights and a clearer view of market dynamics compared to traditional Bollinger Bands. Whether you’re a scalper, swing trader, or long-term investor, this tool helps you make informed and confident trading decisions.
Previous Day High and Low by DRK TradingThe Previous Day High and Low Indicator is a simple yet powerful tool designed for traders who want to keep track of critical levels from the previous trading session. This indicator automatically marks the high and low of the previous day on your chart with dashed horizontal lines, making it easier to identify key support and resistance zones.
Features:
Horizontal Lines: Clearly marks the previous day's high and low levels.
Dynamic Updates: Automatically updates at the start of a new trading day.
Visual Clarity: Includes labels at the start of the day for quick reference.
Customizable: Works seamlessly across all timeframes and instruments.
Use Case:
Identify potential breakout and reversal zones.
Enhance intraday and swing trading strategies by focusing on key price levels.
Plan stop-loss and target levels based on historical price movements.
This indicator is perfect for price action traders, intraday scalpers, and swing traders who rely on past price behavior to make informed decisions.
Custom Fibonacci Strategyhi this is my hard area .. I used many times and its very good to win money
High Win Rate BTC Strategy趋势确认：
使用短期EMA（20日）和长期EMA（50日）来确认市场趋势。
短期EMA上穿长期EMA表示上升趋势，反之表示下降趋势。
布林带突破：
利用布林带的突破来确认市场的波动性和潜在趋势的开始。
当价格突破布林带上轨时做多，跌破下轨时做空。
KDJ指标：
使用KDJ指标来判断市场的超买超卖情况。
在超卖区形成金叉时做多，在超买区形成死叉时做空。
止损和止盈：
使用ATR指标来动态设置止损和止盈，确保在盈利时锁定足够的利润，同时在亏损时止损不至于太大。
Up Gap Strategy with DelayThis strategy, titled “Up Gap Strategy with Delay,” is based on identifying up gaps in the price action of an asset. A gap is defined as the percentage difference between the current bar’s open price and the previous bar’s close price. The strategy triggers a long position if the gap exceeds a user-defined threshold and includes a delay period before entering the position. After entering, the position is held for a set number of periods before being closed.
Key Features:
1. Gap Threshold: The strategy defines an up gap when the gap size exceeds a specified threshold (in percentage terms). The gap threshold is an input parameter that allows customization based on the user’s preference.
2. Delay Period: After the gap occurs, the strategy waits for a delay period before initiating a long position. This delay can help mitigate any short-term volatility that might occur immediately after the gap.
3. Holding Period: Once the position is entered, it is held for a user-defined number of periods (holdingPeriods). This is to capture the potential post-gap trend continuation, as gaps often indicate strong directional momentum.
4. Gap Plotting: The strategy visually plots up gaps on the chart by placing a green label beneath the bar where the gap condition is met. Additionally, the background color turns green to highlight up-gap occurrences.
5. Exit Condition: The position is exited after the defined holding period. The strategy ensures that the position is closed after this time, regardless of whether the price is in profit or loss.
Scientific Background:
The gap theory has been widely studied in financial literature and is based on the premise that gaps in price often represent areas of significant support or resistance. According to research by Kaufman (2002), gaps in price action can be indicators of future price direction, particularly when they occur after a period of consolidation or a trend reversal. Moreover, Gaps and their Implications in Technical Analysis (Murphy, 1999) highlights that gaps can reflect imbalances between supply and demand, leading to high momentum and potential price continuation or reversal.
In trading strategies, utilizing gaps with specific conditions, such as delay and holding periods, can enhance the ability to capture significant price moves. The strategy’s delay period helps avoid potential market noise immediately after the gap, while the holding period seeks to capitalize on the price continuation that often follows gap formation.
This methodology aligns with momentum-based strategies, which rely on the persistence of trends in financial markets. Several studies, including Jegadeesh & Titman (1993), have documented the existence of momentum effects in stock prices, where past price movements can be predictive of future returns.
Conclusion:
This strategy incorporates gap detection and momentum principles, supported by empirical research in technical analysis, to attempt to capitalize on price movements following significant gaps. By waiting for a delay period and holding the position for a specified time, it aims to mitigate the risk associated with early volatility while maximizing the potential for sustained price moves.
[AU-EMA-Scalp-Machine-V2]** EMA Kesışim Tabanlı Scalping Stratejisi**
Bu makalede, "AU-EMA-Scalp-Machine" adlı göstergeden bahsedeceğiz. Bu gösterge, Exponential Moving Average (EMA) kesışimlerine dayalı olarak özellikle scalping stratejileri için alım/satış sinyalleri oluşturur.
### Göstergenin Temel Özellikleri
1. **EMA Kesışimleri**:
- **Kısa EMA** (9 periyotluk) daha hızlı sinyaller verir.
- **Uzun EMA** (21 periyotluk) trendin yönünü onaylar.
- Kısa EMA, Uzun EMA’nın üzerine çıktığında alış sinyali (Long EMA), altına indiğinde ise satış sinyali (Short EMA) verir.
2. **Bekleme Süresi (Cooldown Period)**:
- Bekleme süresi, ardışık sinyallerin çok yakın zaman aralıklarında oluşmasını önler.
- Varsayılan olarak 5 bar olarak ayarlanır ve kullanıcı tarafından özelleştirilebilir.
3. **Sinyal Tespiti ve Uyarılar**:
- Grafik üzerinde alış sinyalleri **yeşil oklar**, satış sinyalleri **kırmızı oklar** ile gösterilir.
- Her sinyal için TradingView’da uyarılar (alert) tanımlanabilir. Bu uyarılar, alış ve satış sinyallerini belirttiğini açıkça ifade eder.
4. **Özelleştirilebilir Parametreler**:
- **Kısa ve Uzun EMA periyotları**, farklı piyasa koşullarına göre optimize edilebilir.
- **Bekleme süresi**, daha az veya daha fazla sinyal almak isteyen kullanıcılar için ayarlanabilir.
### Kullanım Alanları
Bu gösterge, aşağıdaki gibi kullanımlar için uygundur:
- **Scalping Stratejileri**: Düşük zaman dilimlerinde (1 veya 5 dakika gibi) alım/satış yaparak küçük fiyat hareketlerinden faydalanmak.
- **Trend Takibi**: Daha uzun zaman dilimlerinde (15 dakika veya daha uzun) genel piyasa trendlerini belirlemek.
### Öneriler
- Göstergeyi kullanmadan önce, geri test yaparak (backtesting) belirli bir piyasa şartında nasıl performans gösterdiğini analiz edin.
- Stratejinizi diğer göstergelerle birleştirerek (RSI, MACD gibi) daha güvenilir sinyaller elde edebilirsiniz.
---
** EMA Crossover-Based Scalping Strategy**
This article discusses the "AU-EMA-Scalp-Machine" indicator. This tool generates buy/sell signals based on Exponential Moving Average (EMA) crossovers, making it particularly suitable for scalping strategies.
### Key Features of the Indicator
1. **EMA Crossovers**:
- **Short EMA** (9 periods) provides faster signals.
- **Long EMA** (21 periods) confirms the trend direction.
- A buy signal (Long EMA) is generated when the Short EMA crosses above the Long EMA, and a sell signal (Short EMA) is triggered when it crosses below.
2. **Cooldown Period**:
- Prevents consecutive signals from being too close to each other.
- Default is set to 5 bars but can be customized by the user.
3. **Signal Detection and Alerts**:
- Buy signals are represented by **green arrows**, and sell signals by **red arrows** on the chart.
- Alerts can be defined in TradingView to notify users of buy and sell signals.
4. **Customizable Parameters**:
- **Short and Long EMA periods** can be optimized for different market conditions.
- **Cooldown period** can be adjusted for more or fewer signals.
### Applications
This indicator is suitable for:
- **Scalping Strategies**: Making quick trades on lower timeframes (e.g., 1 or 5 minutes) to capitalize on small price movements.
- **Trend Following**: Identifying overall market trends on longer timeframes (e.g., 15 minutes or more).
### Recommendations
- Before using the indicator, perform backtesting to analyze its performance under specific market conditions.
- Combine this strategy with other indicators (e.g., RSI, MACD) for more reliable signals.
---
Bu makale, EMA kesışimlerine dayalı bu stratejiyi anlama ve kullanma konusunda size rehberlik edecektir. Daha fazla bilgi veya destek için bizimle iletişime geçebilirsiniz!
Dynamic Liquidity Lines - KetbotAILiquidity Zones Indicator: Maximize Your Trading Edge
This indicator is designed to help traders identify key liquidity areas in the Gold market, where price is most likely to react. By targeting these zones, you can anticipate reversals or breakouts and make informed trading decisions. Here's a breakdown of its features and how to use it effectively.
Features of the Liquidity Zones Indicator
Liquidity Zone Alerts (Dynamic Labels):
High Liquidity Hit (Red Label):
Appears when the price reaches a high-liquidity area, typically a resistance zone with concentrated sell orders.
Low Liquidity Hit (Green Label):
Appears when the price reaches a low-liquidity area, typically a support zone with concentrated buy orders.
Dynamic Liquidity Levels (Horizontal Lines):
- Red Lines: Represent resistance areas where price may reverse or face selling pressure.
- Green Lines: Represent support areas where price may reverse or face buying pressure.
Reaction Zones:
Highlight areas where price action is expected to react strongly, helping traders identify critical levels for entry, exit, or monitoring.
How to Use the Indicator
Spot Key Liquidity Zones:
Use the red and green horizontal lines to identify areas of resistance (red) and support (green).
These zones are likely areas for price reactions, so plan your trades accordingly.
React to Liquidity Hits:
High Liquidity Hit (Red Label):
When price touches a red resistance level, look for bearish reversal patterns (e.g., pin bars, engulfing candles) as sell signals.
Watch for potential breakouts if the price strongly breaks through the resistance level.
Low Liquidity Hit (Green Label):
When price touches a green support level, look for bullish reversal patterns or strong bounces as buy signals.
If the price breaks below the support, it may signal continued bearish momentum.
Trade with a Plan:
For Buy Trades:
Enter near green lines or after a "Low Liquidity Hit" signal.
Place stop-loss orders just below the support level.
Set take-profit targets at the next resistance level or near red lines.
For Sell Trades:
Enter near red lines or after a "High Liquidity Hit" signal.
Place stop-loss orders just above the resistance level.
Set take-profit targets at the next support level or near green lines.
Combine with Market Context:
In trending markets, use liquidity zones to join the trend (e.g., buying on green levels during an uptrend).
In ranging markets, focus on reversals within the defined liquidity zones.
Why Use This Indicator?
Precision:
Target specific zones where the price is most likely to react, reducing guesswork in your trading decisions.
Versatility:
Works well in both trending and ranging markets to identify entry and exit points.
Clear Visual Cues:
Dynamic labels ("High Liquidity Hit" and "Low Liquidity Hit") make it easy to spot critical trading opportunities.
Time-Saving:
Automatically highlights key support and resistance levels, so you don’t have to search for them manually.
Pro Tips for Using This Indicator
Set Alerts:
Enable alerts for when the price hits high or low liquidity zones to stay on top of market movements.
Combine with Other Tools:
Pair this indicator with RSI, MACD, or volume analysis to confirm the strength of reactions at liquidity zones.
Backtest the Strategy:
Use historical data to evaluate the effectiveness of liquidity zones and refine your approach for live trading.
Multi-Timeframe Analysis:
Use this indicator across different timeframes (e.g., 1H, 4H, or daily) to align short-term trades with broader trends.
Adjust for Breakouts:
If the price breaks above a red resistance level or below a green support level, watch for retests to confirm the breakout.
This Liquidity Zones Indicator is perfect for traders looking to trade smarter by focusing on areas where market reactions are most likely. Whether you’re a beginner or a seasoned trader, this tool provides actionable insights to improve your strategy.
