Rozpocznij

Wskaźniki i strategie

Swing Trading StrategyThis Swing Trading Strategy combines technical indicators and Fibonacci retracement levels to identify potential buy and sell opportunities in the market. It uses key tools like RSI, MACD, moving averages, and Fibonacci levels for precision and trend confirmation. Key Indicators: 1. RSI (14): Identifies overbought (>70) and oversold (<30) conditions. 2. MACD: Detects momentum shifts with bullish or bearish crossovers. 3. Moving Averages: A short-term MA (50) and long-term MA (200) determine uptrends and downtrends. 4. Fibonacci Levels (0.382, 0.5, 0.618): Calculate dynamic support and resistance zones based on recent highs and lows. Entry and Exit Conditions: • Long Entry: In an uptrend, RSI < 30, MACD bullish crossover, and price within Fibonacci levels. • Short Entry: In a downtrend, RSI > 70, MACD bearish crossover, and price within Fibonacci levels. • Exits: Positions close if the trend reverses (via MACD) or RSI reaches extreme levels. Visualization: The strategy dynamically plots Fibonacci levels and moving averages for enhanced decision-making. This strategy is ideal for swing traders, leveraging trend and momentum to identify profitable short- to medium-term opportunities.
Strategia Pine Script™
od adityareddy50
Volume Trend Analysis ProKey Features of Volume Analysis Script 1. Volume Threshold Detection Identifies significant volume spikes Compares current volume against 20-period moving average Configurable sensitivity for precise signal generation 2. Trend Confirmation Mechanisms Uses short and long-term moving averages Validates volume signals with price action Reduces false positive trading signals 3. Advanced Visualization Color-coded volume bars Triangular buy/sell signal markers Clear visual representation of volume dynamics 4. Risk Management Components Customizable volume threshold Deviation sensitivity adjustment Built-in alert conditions for real-time monitoring
Wskaźnik Pine Script™
od hmoni91
200-Week Weighted Moving Average (WMA)The 200-Week Weighted Moving Average (WMA) is a long-term technical indicator designed to smooth price data over the past 200 weeks while giving greater weight to recent price movements. Unlike the Simple Moving Average (SMA), which applies equal weight to all data points, the WMA emphasizes more recent prices, making it more responsive to current market trends. Key Features: Focus on Long-Term Trends: Helps traders and investors identify the overall market direction over a long-term horizon (approximately four years). Weighted Responsiveness: Provides a more dynamic reflection of recent price activity compared to the 200-week SMA. Support/Resistance Levels: Often used to identify key levels of support or resistance in the market. Breaks above or below the WMA may signal potential trend reversals. Multi-Timeframe Usability: Useful across different timeframes but specifically designed to work on weekly data for long-term analysis. Application in Trading: Bullish Indicator: When the price is above the 200-week WMA, it indicates a long-term uptrend. Bearish Indicator: When the price is below the 200-week WMA, it suggests a long-term downtrend. Reversal Signals: Crossovers or significant deviations from the WMA can act as triggers for potential trend changes. This indicator is ideal for traders and investors focusing on macro trends, helping them make informed decisions about long-term market positions.
Wskaźnik Pine Script™
od kierancullinan
SMA: 21, 50, 100, 200 DaysThe SMA: 21, 50, 100, 200 Days indicator provides a comprehensive view of short-term, mid-term, and long-term trends by plotting the Simple Moving Averages (SMA) for 21, 50, 100, and 200 days. Each SMA represents the average closing price over the specified number of days, helping traders identify market trends, key support/resistance levels, and potential entry or exit points. Key Features: Multiple Time Horizons: 21-Day SMA: Tracks short-term trends and price momentum. 50-Day SMA: Commonly used for mid-term trend analysis and is a popular benchmark among traders. 100-Day SMA: Offers insights into intermediate-term trends. 200-Day SMA: Represents long-term trends and is a key level for institutional traders. Trend Analysis: Helps traders identify whether the market is bullish or bearish by observing the position of the price relative to the SMAs. Dynamic Support/Resistance: The SMAs often act as support or resistance levels. A price break above or below these lines can signal potential trend shifts. Crossovers: Crossovers between shorter and longer SMAs (e.g., 21-day crossing above the 50-day) can indicate bullish or bearish trend reversals. Application in Trading: Bullish Signal: Price consistently trading above the SMAs suggests upward momentum. Bearish Signal: Price consistently trading below the SMAs indicates downward momentum. Reversal Opportunities: Crossovers and price interactions with the SMAs can act as triggers for potential trade entries or exits. This indicator is versatile and widely used across all timeframes, making it an essential tool for traders and investors aiming to understand market dynamics and identify key trading opportunities.Simple Moving Average for 21, 50, 100 and 200 Days
Wskaźnik Pine Script™
od kierancullinan
Dynamic Support and Resistance Pivot Strategy The Dynamic Support and Resistance Pivot Strategy is a flexible and adaptive tool designed to identify short-term support and resistance levels using the concept of price pivots. ### Key Elements of the Strategy 1. Pivot points as support and resistance levels Pivots are significant turning points on the price chart, often marking local highs and lows where the price has reversed direction. A pivot high occurs when the price forms a local peak, while a pivot low occurs when the price forms a local trough. When a new pivot high is formed, it creates a resistance level. Conversely, when a new pivot low is formed, it creates a support level. The strategy continuously updates these levels as new pivots are detected, ensuring they remain relevant to the current market conditions. By identifying these price levels, the strategy dynamically adjusts to market conditions, allowing it to adapt to both trending and ranging markets, since it has a long target and can perform reversal operations. 2. Entry Criteria - Buy (Long): A long position is triggered when the price is near the support level and then crosses it from below to above. This suggests that the price has found support and may start moving upwards. - Sell (Short): A short position is triggered when the price is near the resistance level and then crosses it from above to below. This indicates that the price may be reversing and moving downward. 3. Support/Resistance distance (%) - This parameter establishes a percentage range around the identified support and resistance level. For example, if the Support Resistance Distance is 0.4% (default), the closing price must be within a range of 0.4% above support or below the resistance to be considered "close" and trigger a trade. 4. Exit criteria - Take profit = 27 % - Stop loss = 10 % - Reversal if a new entry point is identified in the opposite direction 5. No Repainting - The Dynamic Support and Resistance Pivot Strategy is not subject to repainting. 6. Position Sizing by Equity and risk management - This strategy has a default configuration to operate with 35% of the equity. The stop loss is set to 10% from the entry price. This way, the strategy is putting at risk about 10% of 35% of equity, that is, around 3.5% of equity for each trade. The percentage of equity and stop loss can be adjusted by the user according to their risk management. 7. Backtest results - This strategy was subjected to backtest and operations in replay mode on **1000000MOGUSDT.P**, with the inclusion of transaction fees at 0.12% and slipagge of 5 ticks, and the past results have shown consistent profitability. Past results are no guarantee of future results. The strategy's backtest results may even be due to overfitting with past data. 8. Chart Visualization - Support and resistance levels are displayed as green (support) and red (resistance) lines. - Pivot prices are displayed as green (pivot low) and red (pivot high) labels. In this image above, the Support/Resistance distance (%) parameter was set to 0.8. 9. Default Configuration Chart Timeframe: 1h Pivot Lengh: 2 Support/Resistance distance (%): 0.4* Stop Loss: 10 % Take Profit: 27 % * This parameter can alternatively be set to 0.8. 10. Alternative Configuration Chart Timeframe: 20 min Pivot Lengh: 4 Support/Resistance distance (%): 0.1 Stop Loss: 10 % Take Profit: 25 % BYBIT:1000000MOGUSDT.P
Strategia Pine Script™
od felipemiransan
Poisson Projection of Price Levels### **Poisson Projection of Price Levels** **Overview:** The *Poisson Projection of Price Levels* is a cutting-edge technical indicator designed to identify and visualize potential support and resistance levels based on historical price interactions. By leveraging the Poisson distribution, this tool dynamically adjusts the significance of each price level's past "touches" to project future interactions with varying degrees of probability. This probabilistic approach offers traders a nuanced view of where price levels may hold or react in upcoming bars, enhancing both analysis and trading strategies. --- **🔍 **Math & Methodology** 1. **Strata Levels:** - **Definition:** Strata are horizontal lines spaced evenly around the current closing price. - **Calculation:** \ where \(i\) ranges from 0 to \(\text{Strata Count} - 1\). 2. **Forecast Iterations:** - **Structure:** The indicator projects five forecast iterations into the future, each spaced by a Fibonacci sequence of bars: 2, 3, 5, 8, and 13 bars ahead. This spacing is inspired by the Fibonacci sequence, which is prevalent in financial market analysis for identifying key levels. - **Purpose:** Each iteration represents a distinct forecast point where the price may interact with the strata, allowing for a multi-step projection of potential price levels. 3. **Touch Counting:** - **Definition:** A "touch" occurs when the closing price of a bar is within half the increment of a stratum level. - **Process:** For each stratum and each forecast iteration, the indicator counts the number of touches within a specified lookback window (e.g., 80 bars), offset by the forecasted position. This ensures that each iteration's touch count is independent and contextually relevant to its forecast horizon. - **Adjustment:** Each forecast iteration analyzes a unique segment of the lookback window, offset by its forecasted position to ensure independent probability calculations. 4. **Poisson Probability Calculation:** - **Formula:** \ \ - **Interpretation:** \(p(k=1)\) represents the probability of exactly one touch occurring within the lookback window for each stratum and iteration. - **Application:** This probability is used to determine the transparency of each stratum line, where higher probabilities result in more opaque (less transparent) lines, indicating stronger historical significance. 5. **Transparency Mapping:** - **Calculation:** \ - **Purpose:** Maps the Poisson probability to a visual transparency level, enhancing the readability of significant strata levels. - **Outcome:** Strata with higher probabilities (more historical touches) appear more opaque, while those with lower probabilities appear fainter. --- **📊 **Comparability to Standard Techniques** 1. **Support and Resistance Levels:** - **Traditional Approach:** Traders identify support and resistance based on historical price reversals, pivot points, or psychological price levels. - **Poisson Projection:** Automates and quantifies this process by statistically analyzing the frequency of price interactions with specific levels, providing a probabilistic measure of significance. 2. **Statistical Modeling:** - **Standard Models:** Techniques like Moving Averages, Bollinger Bands, or Fibonacci Retracements offer dynamic and rule-based levels but lack direct probabilistic interpretation. - **Poisson Projection:** Introduces a discrete event probability framework, offering a unique blend of statistical rigor and visual clarity that complements traditional indicators. 3. **Event-Based Analysis:** - **Financial Industry Practices:** Event studies and high-frequency trading models often use Poisson processes to model order arrivals or price jumps. - **Indicator Application:** While not identical, the use of Poisson probabilities in this indicator draws inspiration from event-based modeling, applying it to the context of price level interactions. --- **💡 **Strengths & Advantages** 1. **Innovative Visualization:** - Combines statistical probability with traditional support/resistance visualization, offering a fresh perspective on price level significance. 2. **Dynamic Adaptability:** - Parameters like strata increment, lookback window, and probability threshold are user-defined, allowing customization across different markets and timeframes. 3. **Independent Probability Calculations:** - Each forecast iteration calculates its own Poisson probability, ensuring that projections are contextually relevant and independent of other iterations. 4. **Clear Visual Cues:** - Transparency-based coloring intuitively highlights significant price levels, making it easier for traders to identify key areas of interest at a glance. --- **⚠️ **Limitations & Considerations** 1. **Poisson Assumptions:** - Assumes that touches occur independently and at a constant average rate (\(\lambda\)), which may not always align with market realities characterized by trends and volatility clustering. 2. **Computational Intensity:** - Managing multiple iterations and strata can be resource-intensive, potentially affecting performance on lower-powered devices or with very high lookback windows. 3. **Interpretation Complexity:** - While transparency offers visual clarity, understanding the underlying probability calculations requires a basic grasp of Poisson statistics, which may be a barrier for some traders. --- **📢 **How to Use It** 1. **Add to TradingView:** - Open TradingView and navigate to the Pine Script Editor. - Paste the script above and click **Add to Chart**. 2. **Configure Inputs:** - **Strata Increment:** Set the desired price step between strata (e.g., `0.1` for 10 cents). - **Lookback Window:** Define how many past bars to consider for calculating Poisson probabilities (e.g., `80`). - **Probability Transparency Threshold (%):** Set the threshold percentage to map probabilities to line transparency (e.g., `25%`). 3. **Understand the Forecast Iterations:** - The indicator projects five forecast points into the future at bar spacings of 2, 3, 5, 8, and 13 bars ahead. - Each iteration independently calculates its Poisson probability based on the touch counts within its specific lookback window offset by its forecasted position. 4. **Interpret the Visualization:** - **Opaque Lines:** Indicate higher Poisson probabilities, suggesting historically significant price levels that are more likely to interact again. - **Fainter Lines:** Represent lower probabilities, indicating less historically significant levels that may be less likely to interact. - **Forecast Spacing:** The spacing of 2, 3, 5, 8, and 13 bars ahead aligns with Fibonacci principles, offering a natural progression in forecast horizons. 5. **Apply to Trading Strategies:** - **Support/Resistance Identification:** Use the opaque lines as potential support and resistance levels for placing trades. - **Entry and Exit Points:** Anticipate price interactions at forecasted levels to plan strategic entries and exits. - **Risk Management:** Utilize the transparency mapping to determine where to place stop-loss and take-profit orders based on the probability of price interactions. 6. **Customize as Needed:** - Adjust the **Strata Increment** to fit different price ranges or volatility levels. - Modify the **Lookback Window** to capture more or fewer historical touches, adapting to different timeframes or market conditions. - Tweak the **Probability Transparency Threshold** to control the sensitivity of transparency mapping to Poisson probabilities. **📈 **Practical Applications** 1. **Identifying Key Levels:** - Quickly visualize which price levels have historically had significant interactions, aiding in the identification of potential support and resistance zones. 2. **Forecasting Price Reactions:** - Use the forecast iterations to anticipate where price may interact in the near future, assisting in planning entry and exit points. 3. **Risk Management:** - Determine areas of high probability for price reversals or consolidations, enabling better placement of stop-loss and take-profit orders. 4. **Market Analysis:** - Assess the strength of market levels over different forecast horizons, providing a multi-layered understanding of market structure. --- **🔗 **Conclusion** The *Poisson Projection of Price Levels* bridges the gap between statistical modeling and traditional technical analysis, offering traders a sophisticated tool to quantify and visualize the significance of price levels. By integrating Poisson probabilities with dynamic transparency mapping, this indicator provides a unique and insightful perspective on potential support and resistance zones, enhancing both analysis and trading strategies. --- **📞 **Contact:** For support or inquiries, please contact me on TradingView! --- **📢 **Join the Conversation!** Have questions, feedback, or suggestions for further enhancements? Feel free to comment below or reach out directly. Your input helps refine and evolve this tool to better serve the trading community. --- **Happy Trading!** 🚀
Wskaźnik Pine Script™
od garysebastianbrowniii
Pivot Market StructureDescription and Features This script is designed to enhance technical analysis by identifying key market structure levels. It uses a price action trail (based on the last highest/lowest price) and pivot points to track market trends, offering insights into potential reversal zones or trend continuation signals. How the Script Works High/Low Trail Logic: The script includes a trail mechanism that compares the current price with the last highest and lowest price, determining whether the price has breached these levels. This helps pinpoint key price action events and potential trend shifts. Unlike pivot points the price action trail is more responsive changes within the market structure. Step Size and Length for High/Low Trail: - The Step Length parameter defines how many bars are used to compare the current price against the last highest/lowest price, providing a measure of price extremes. - The Length parameter determines the number of bars considered for calculating the highest/lowest price since the last price action event (either price surpassing a previous high or dipping below a previous low). Pivot Point Calculation: Pivot Point Highs are calculated by the number of bars with lower highs on either side of a Pivot Point High calculation. Similarly, Pivot Point Lows are calculated by the number of bars with higher lows on either side of a Pivot Point Low calculation. The script draws a line from/to every calculated pivot point to highlight market structure extremes. It can optionally extend these pivot lines to the left for added context, providing historical reference for decision-making. Summary By combining both pivot analysis and price action trailing techniques, the script provides a comprehensive view of a pivot point based market structure.
Wskaźnik Pine Script™
od Daniel_Ge
6
Dow waveform analyzerDow Waveform Analyzer 1. Overview and Features of the Indicator This indicator is a tool designed to analyze chart waveforms based on Dow Theory, identifying swing lows (support) and swing highs (resistance). It allows users to quickly and consistently determine trend direction. Compared to manual analysis, it provides more efficient and accurate results. By using swing lows and swing highs, the indicator offers a more detailed understanding of trends than simple updates to highs and lows, aiding in the creation of effective trading strategies. 2. Identifying Wave Lows and Highs Stock prices do not move in straight lines; instead, they rise and fall in waves. This indicator starts by identifying the wave lows and wave highs. - Wave Low: The lowest point during a temporary price decline. - Wave High: The highest point during a temporary price increase. These are automatically identified using Pine Script’s built-in functions `pivotlow` and `pivothigh`. 3. Drawing the Waveform The identified wave lows and highs are alternately connected to draw the waveform. However, there are cases where wave lows or highs occur consecutively: - Consecutive Wave Lows: The lower low is used for drawing the waveform. - Consecutive Wave Highs: The higher high is used for drawing the waveform. 4. Tracking Swing Lows/Highs and Trend Determination Swing lows and swing highs are crucial markers that indicate the state of wave progression: - Swing Low: The starting point of a wave (wave low) when the closing price exceeds the previous wave high. - Swing High: The starting point of a wave (wave high) when the closing price falls below the previous wave low. The changes in swing lows and swing highs as the waves progress allow for trend state determination. 5. Examples of Trend States During an Uptrend: - When the price surpasses a wave high, the swing low is updated, confirming the continuation of the uptrend. End of an Uptrend: - When the price falls below the swing low, the swing low disappears, and a swing high appears, signaling the end of the uptrend. Sideways Movement: - Swing lows and swing highs alternately appear, indicating a sideways trend. Start of a Downtrend: - When the price breaks below a wave low for the first time, the swing high is updated, confirming the start of the downtrend. During a Downtrend: - When the price breaks below a wave low, the swing high is updated, confirming the continuation of the downtrend. End of a Downtrend: - When the price surpasses a wave high, the swing high disappears, and a swing low reappears, signaling the end of the downtrend. Restart of an Uptrend: - When the swing low is updated, the uptrend resumes. The uptrend begins when the price surpasses a wave high, and the swing low is updated for the first time. 6. Applications Trade Entries and Exits: - Set stop orders for entry at the price level where a trend starts. - Set stop orders for exit at the price level where a trend ends. Trend Filtering: - Use the indicator to confirm whether market conditions are suitable for entry based on the trend state. Analyze waveforms to aid trading strategies. Guide for Drawing Trendlines: - Utilize wave lows and highs as starting and ending points when drawing trendlines with drawing tools. 7. Parameters and Display Items Pivot Points: - Wave lows are marked with circles below the candlestick’s low, and wave highs are marked with circles above the candlestick’s high. Number of Bars for Pivot Calculation: - Specify the number of bars on either side used to identify highs (default: 2). Waveform: - Specify the color (default: blue) or toggle its visibility (default: visible). Swing Lows/Highs: - Displayed as large circles. The rightmost large circle on the chart indicates the current swing low or swing high. Historical swing points are also displayed to show the progression of state changes. Specify the color (default: green) or toggle visibility (default: visible). 1. インジケーターの概要と特徴 このインジケーターは、ダウ理論を基にチャートの波形を分析し、押し安値や戻り高値を特定するツールです。これにより、トレンドの方向を迅速かつ一貫して判断できます。手動での分析と比較して、効率的かつ精度の高い結果が得られる点が特徴です。 押し安値や戻り高値を利用することで、単純な高値・安値の更新よりも詳細にトレンドの状況を把握し、効果的な取引戦略の構築に役立ちます。 2. 波の谷と波の頂の特定 株価は直線的に動くのではなく、波を描きながら上昇や下落を繰り返します。このインジケーターは、まず波の谷と波の頂を特定するところから始まります。 波の谷: 一時的な下落の最安値 波の頂: 一時的な上昇の最高値 これらを Pine Script の内蔵関数（ピボットローとピボットハイ）を用いて自動的に特定しています。 3. 波形の描画方法 特定した波の谷と波の頂を交互に結んで波形を描画します。ただし、波の谷や頂が連続する場合があります。 波の谷が連続する場合: より低い谷を採用して波形を描く 波の頂が連続する場合: より高い頂を採用して波形を描く 4. 押し安値・戻り高値の追跡とトレンド判断 押し安値と戻り高値は、波の進行状況を示す重要な指標です。 押し安値: 終値が前回の高値を超えた際の波の谷 戻り高値: 終値が前回の安値を割り込んだ際の波の頂 波の進行に伴う押し安値・戻り高値の変化から、トレンドの状態を判断します。 5. トレンド状態の具体例 上昇トレンド中: 波の頂を株価が上抜け押し安値が更新され続けることで上昇トレンドを継続。 上昇トレンドの終了: 株価が押し安値を割ると、押し安値が消え、戻り高値が新たに出現して、上昇トレンドを終了。 横ばい状態: 押し安値と戻り高値が交互に切り替わる。 下降トレンドの開始: 波の谷を株価が下抜け戻り高値がはじめて更新されることで下降トレンド開始を確認。 下降トレンド中: 波の谷を株価が下抜け戻り高値が更新され続けることで下降トレンドを継続。 下降トレンドの終了: 株価が波の頂を超えると、戻り高値が消え、押し安値が再び出現して、下降トレンドを終了。 横ばい状態: 押し安値と戻り高値が交互に切り替わる。 上昇トレンドの再開: 押し安値が更新されることで上昇トレンドを確認。 波の頂を株価が上抜け押し安値がはじめて更新されることで上昇トレンド開始を確認。 6. 応用例 トレードのエントリーとエグジット: トレンド発生の価格に逆指値を設定してエントリー。 トレンド終了の価格に逆指値を設定してエグジット。 トレンドフィルターとして活用: エントリーに適したトレンド状況かを確認。波形を分析してトレード戦略の参考に。 トレンドラインを描く時の参考として活用: 波の谷と頂を描画ツールを使ってトレンドラインを描く時の起点や終点として活用。 7. パラメーターと表示項目 ピボット: 波の谷はローソク足の安値にサークルを表示、波の頂はローソク足の高値にサークルを表示。 ピボット計算用のバーの数: 高値を特定するために左右何本のローソク足を使用するかを設定（初期値: 2）。 波形: 色（初期値: 青）や表示（初期値: 表示）の指定。 押し安値・戻り高値: 大きなサークルで表示。チャートの一番右の大きなサークルが現在のもの。過去のものも状態変化の経緯を示すために表示。色（初期値: 緑）や表示（初期値: 表示）の指定。
Wskaźnik Pine Script™
od fightpm
1
FTD & DD AnalyzerFTD & DD Analyzer A comprehensive tool for identifying Follow-Through Days (FTDs) and Distribution Days (DDs) to analyze market conditions and potential trend changes, based on William J. O'Neil's proven methodology. About the Methodology This indicator implements the market analysis techniques developed by William J. O'Neil, founder of Investor's Business Daily and author of "How to Make Money in Stocks." O'Neil's research, spanning market data back to the 1880s, has successfully identified major market turns throughout history. His FTD and DD concepts remain crucial tools for institutional investors and serious traders. Overview This indicator helps traders identify two critical market conditions: Distribution Days (DDs) - days of institutional selling pressure Follow-Through Days (FTDs) - confirmation of potential market bottoms and new uptrends The combination of these signals provides valuable insight into market health and potential trend changes. Key Features Distribution Day detection with customizable criteria Follow-Through Day identification based on classical methodology Market bottom detection using EMA analysis Dynamic warning system for accumulated Distribution Days Visual alerts with customizable labels Advanced debug mode for detailed analysis Flexible display options for different trading styles Distribution Days Analysis What is a Distribution Day? A Distribution Day occurs when: The price closes lower by a specified percentage (default -0.2%) Volume is higher than the previous day DD Settings Price Threshold: Minimum price decline to qualify (default -0.2%) Lookback Period: Number of days to analyze for DD accumulation (default 25) Warning Levels: First warning at 4 DDs Severe warning (SOS - Sign of Strength) at 6 DDs Display Options: Show/hide DD count Show/hide DD labels Choose between showing all DDs or only within lookback period Follow-Through Day Detection What is a Follow-Through Day? Following O'Neil's research, a Follow-Through Day confirms a potential market bottom when: Occurs between day 4 and 13 after a bottom formation (optimal: days 4-7) Shows significant price gain (default 1.5%) Accompanied by higher volume than the previous day Key Statistics: FTDs followed by distribution on days 1-2 fail 95% of the time Distribution on day 3 leads to 70% failure rate Later distribution (days 4-5) shows only 30% failure rate FTD Settings Minimum Price Gain: Required percentage gain (default 1.5%) Valid Window: Day 4 to Day 13 after bottom Quality Rating: 🚀 for FTDs occurring within 7 days (historically most reliable) ⭐ for later FTDs Market Bottom Detection The indicator uses a sophisticated approach to identify potential market bottoms: EMA Analysis: Tracks 8 and 21-period EMAs Monitors EMA alignment and momentum Customizable tolerance levels Price Action: Looks for lower lows within specified lookback period Confirms bottom with subsequent price action Reset mechanism to prevent false signals Visual Indicators Label Types 📉 Distribution Days ⬇️ Market Bottoms 🚀/⭐ Follow-Through Days ⚠️ DD Warning Levels Customization Options Label size: Tiny, Small, Normal, Large Label style: Default, Arrows, Triangles Background colors for different signals Dynamic positioning using ATR multiplier Practical Usage 1. Monitor DD Accumulation: Watch for increasing number of Distribution Days Pay attention to warning levels (4 and 6 DDs) Consider reducing exposure when warnings appear 2. Bottom Recognition: Look for potential bottom formations Monitor EMA alignment and price action Wait for confirmation signals 3. FTD Confirmation: Track days after potential bottom Watch for strong price/volume action in valid window Note FTD quality rating for additional context Alert System Built-in alerts for: New Distribution Days Follow-Through Day signals High DD accumulation warnings Tips for Best Results Use multiple timeframes for confirmation Combine with other market health indicators Pay attention to sector rotation and market leadership Monitor volume patterns for confirmation Consider market context and external factors Technical Notes The indicator uses advanced array handling for DD tracking Dynamic calculations ensure accurate signal generation Debug mode available for detailed analysis Optimized for real-time and historical analysis Additional Information Compatible with all markets and timeframes Best suited for daily charts Regular updates and maintenance Based on O'Neil's time-tested market analysis principles Conclusion The FTD & DD Analyzer provides a systematic approach to market analysis, combining O'Neil's proven methodologies with modern technical analysis. It helps traders identify potential market turns while monitoring institutional participation through volume analysis. Remember that no indicator is perfect - always use in conjunction with other analysis tools and proper risk management.
Wskaźnik Pine Script™
od joericke
HTF Anchor DotsHigh Time Frame Anchor Dots is designed for traders who use the 15m or 1H chart and want a clear visual of higher-timeframe momentum conditions without constantly switching timeframes. The script builds on the Wave Anchor Indicator concept and is intended to complement the TP Mint Trading Strategy. Using the momentum waves (similar to VuManChu Cipher B / Market Cipher B), the script identifies “anchor” states on higher timeframes (1H, 4H, Daily) and plots colored dots on your current chart: • Yellow Dots: TP1 timeframe is anchored (overbought/oversold) • Red Dots: TP2 timeframe is anchored (overbought/oversold) • Orange Dots: Both TP1 and TP2 timeframes are simultaneously anchored, indicating a significant confluence. Dots above the price indicate overbought anchors; dots below indicate oversold anchors. Because the indicator checks these conditions at the close of your entry timeframe candles, you may occasionally see a dot even though the higher-timeframe candle later closes out of anchor. Remember, this indicator offers no direct entry signals; it merely highlights potential confluence or caution zones. Why Use It? - Quickly assess if momentum on higher timeframes is stretched in one direction. - Avoid entering a new position when a higher timeframe has just hit a potential turning point. - Spot patterns in anchor dot clusters that can refine your trading entries or exits. If you have questions or suggestions, feel free to share them! The script is open to improvements, and I appreciate all feedback. As with any indicator, this tool is not guaranteed to be an accurate prediction of future price action. Most successful traders combine indicators with sound risk management practices and their own personal analysis.
Wskaźnik Pine Script™
od StormCat1
Forex Daily Pivot Indicator with Custom Start TimeThis is a new version of the Forex Daily Pivot Indicator I published. This one is the same, with the addition of user input for start time. So, as an example, if you are in Eastern Time Zone and you want the new pivots to display beginning at 5PM Eastern Standard time, you input "21". When in Eastern Daylight Savings Time, you would input "22". The other version I published of this calculates the pivots beginning at 0 UTC, based upon Tradingview's clock. So, depending on when you want to calculate and display what you consider to be the "new day", adjust that input accordingly. Again, with this version I recommend adjusting line thickness to 3.
Wskaźnik Pine Script™
od mcg0628