Mulakan

Cari dalam skrip untuk "signal"

Rolling Z-Score Trend [QuantAlgo]🟢 Overview The Rolling Z-Score Trend measures how far the current price deviates from its rolling mean in terms of standard deviations. It transforms price data into standardized scores to identify overbought and oversold conditions while tracking momentum shifts. The indicator displays a Z-Score line showing price deviation from statistical norms, with background momentum columns showing the rate of change in these deviations. This helps traders and investors identify mean reversion opportunities and momentum shifts across different asset classes and timeframes. 🟢 How It Works The indicator uses the Z-Score formula: Z = (X - μ) / σ, where X is the current closing price, μ is the rolling mean, and σ is the rolling standard deviation over a user-defined lookback period. This creates a dynamic baseline that adapts to changing market conditions and standardizes price movements for interpretation across different assets and volatility conditions. The raw Z-Score undergoes 3-period EMA smoothing to reduce noise while maintaining responsiveness to market signals. Beyond the basic Z-Score calculation, the indicator measures the rate of change in Z-Score values between successive bars, displayed as background momentum columns. This momentum component shows acceleration and deceleration of statistical deviations. All calculations are processed through confirmation filters, displaying signals only on confirmed bars to reduce premature signals based on incomplete price action. 🟢 How to Use 1. Z-Score Interpretation and Threshold Zones Positive Values (Above Zero) : Price trading above statistical mean, suggesting bullish momentum or potential overbought conditions Negative Values (Below Zero) : Price trading below statistical mean, suggesting bearish momentum or potential oversold conditions Zero Line Crosses : Signal transitions between statistical regimes and potential trend changes Upper Threshold Zone : Area above entry threshold (default 1.5) indicating potential overbought conditions Lower Threshold Zone : Area below negative entry threshold (default -1.5) indicating potential oversold conditions Extreme Values (±2.0 or higher) : Statistically significant deviations that may indicate reversal opportunities 2. Momentum Background Analysis and Info Table Green Columns : Accelerating positive momentum in Z-Score values Red Columns : Accelerating negative momentum in Z-Score values Column Height : Magnitude of momentum change between bars Momentum Divergence : When columns contradict primary Z-Score direction, often signals impending reversals Info Table : Displays real-time numerical values for both Z-Score and momentum, including trend direction indicators and bar-to-bar change calculations for position management 3. Preconfigured Settings Default : Balanced performance across multiple timeframes and asset classes for general trading and medium-term position management. Scalping : Responsive setup for ultra-short-term trading on 1-15 minute charts with frequent signals and increased sensitivity to quick price movements. Swing Trading : Optimized for multi-day positions with noise filtering, focusing on larger price swings. Most effective on 1-4 hour and daily timeframes. Trend Following : Maximum smoothing that prioritizes established trends over short-term volatility. Generates fewer signals for daily and weekly charts.
Penunjuk Pine Script®
oleh QuantAlgo
18
4-EMA Signals + MTF Analysis4-EMA Signals + MTF Analysis Indicator: User Guide This indicator is designed for active traders; from scalpers / intra-day traders to swing-traders who simply want an easy to understand, simple, but yet comprehensive and easy-to-understand indicator with a quick overview of initial market momentum and overall market direction to assist the trader in their initial trading. The main feature of this indicator is that It overlays four exponential moving averages (EMAs), and provides a dashboard of real-time trend signals for both buy and sell (long/short) scenarios. Settings Overview MA Period Setup Custom: Set your own EMA periods. Conservative, Aggressive, Fibonacci: Quickly apply preset EMA period combinations for different trading styles. EMA Periods (Custom Setup) Fast EMA: Shortest EMA, reacts quickly to price (default 7). Medium-Short EMA: Intermediate speed (default 25). Medium-Long EMA: Slower, filters out more noise (default 70). Slow EMA: Longest-term trend (default 200). (These settings can be adjusted to suit your individual needs) Main Indicator Features Four EMAs : Plotted in distinct colors (green, yellow, orange, red) for quick trend recognition - this can be altered in colour to your personal preferences. Buy/Sell Signals : Triangles appear below/above bars when EMA crossovers occur, optionally filtered by volume - the volume filter when applied greatly reduces the influx of signals, only giving high-quality signals! Trading Sessions + Backgrounds : A trading session feature has been added: (London, New York, Asia, Sydney) with the choice of a background to indicate each global trading session. Volume Overlay : Volume bars and a blue volume moving average line for context. Dashboard Table (Top Right): Market Direction: Shows the overall EMA alignment (bullish, bearish, weak, consolidating). The initial trend on the 5m, 15m, 1H, and 4H time-frame to give a quick snapshot of overall trend direction. How to Use Trend Identification : -- Use the EMA alignment and dashboard table to quickly see if the market is bullish, bearish, or consolidating. EMA Set-up -- Adjust the EMA settings to your specific requirements, the signals will alter depending on the volatility of the instrument your trading. Signal Confirmation : -- ''Buy'' signals simply appear when the faster EMAs cross above slower EMAs in and ''Sell'' signals simply appear when they cross below. Volume Context : --Use the volume moving average and the optional volume filter to avoid signals during low-activity periods. No Repainting : -- All signals and dashboard readings are calculated using only confirmed, closed bars. What you see in real time is exactly what will appear in your back-test — no repainting or look-ahead bias. Alerts / Notifications Now for the fun part: 1. Enable Buy/Sell Signal Alerts: Get notifications when buy or sell signals occur. 2. For Alerts to function correctly, set the ''condition'' to the indicator itself. 3. Select ''EMA Bearish Cross'' or ''EMA Bullish Cross'' depending whether you want alerts for either buy/sell signals - Or one can simply set alerts for both scenarios. 4. For ''Interval'' set to ''Same as chart'' - So, the time-frame which you'd like to trade on. 5. For ''Trigger'' set to ''Once Per Bar Close''. 6. Save. 7. Wait for a signal to occur! NOTE: Before placing a trade, it's often best to also assess the market conditions at that time also - and not rely solely on the signals, the signals are to assist, and it's often occurred a signal has shown, but a pull-back occurs, and a FVG in discount holds -- it's this FVG holding, accompanied by volume, that's the real entry, possibly. Tip: For the cleanest results, use the indicator during the most active sessions and always check multi-time-frame trend alignment before entering trades. Good Luck! :)
Penunjuk Pine Script®
oleh Troste_1
ScalpZone NQ 1M - Volume Signals with Highlight Box📊 ScalpZone NQ 1M - Volume Signals with Highlight Box ScalpZone is a professional-grade indicator designed specifically for 1-minute scalping on Nasdaq Futures (NQ), focusing on high-volume price action zones. It automatically detects aggressive buying/selling activity based on volume spikes and visualizes potential entry zones with dynamic horizontal lines and price boxes. 🔍 Key Features: Volume Spike Detection: Identifies high-volume candles using an adjustable EMA-based volume threshold. Directional Volume Signals: Highlights candles with directional momentum (bullish or bearish) based on real-time volume dominance. Scalp Zone Visualization: Draws horizontal support/resistance lines at volume signal prices. Renders price boxes around those levels to highlight actionable zones. Zones automatically extend when respected by price, and disappear when invalidated. Visual Candle Enhancement: Dynamically colors candles to reflect normalized volume intensity and direction. Customizable Parameters: Volume EMA & threshold multiplier Line and box dimensions Toggle zone visibility 🛠️ Use Case: Perfect for scalpers and short-term traders looking to exploit volume-based reversals or breakout traps on the NQ 1-minute chart. Traders can use the visual cues to time entries, manage stops, or validate confluence with other tools (e.g., order flow, delta spikes, or footprint charts).
Penunjuk Pine Script®
oleh MILO888
Market Breadth Toolkit [LuxAlgo]The Market Breadth Toolkit allows traders to use up to 6 different market breadth measures on two different exchanges, for a total of 12 different views of the market. This toolkit includes divergence detection and allows setting custom fixed levels for traders who want to experiment with them. 🔶 USAGE The main idea behind Breadth is to measure the number of advancing and declining issues and/or volume by exchange to have an idea of the underlying strength of the whole exchange. On the other hand, thrusts represent big impulses in the breadth, as it is described by technicians to be the start of a new bullish trend. By default, the Toolkit is set to "Breadth Thrust Zweig", with divergences enabled. We will now explain all the different breadth measures available in the toolkit. 🔹 Deemer Breakaway Momentum The "Breakaway Momentum" is a concept related to market breadth introduced by legendary technical analyst Walter Deemer. As stated on his website: We coined the term "breakaway momentum" in the 1970's to describe this REALLY powerful upward momentum and: We now know that the stock market generates breakaway momentum when the 10-day total advances on the NYSE are greater than 1.97 times the 10-day total NYSE declines OR the 20-day total advances on the NYSE are greater than 1.72 times the 20-day total NYSE declines. As we can see in the chart above, which shows both methods, momentum is identified when the ratio of advancing issues to declining issues is greater than 1.97 for the 10-day average or 1.72 for the 20-day average. 🔹 Zweig Breadth Tools Legendary trader and author Marting Zweig, best known as the author of "Winning on Wall Street" and the creator of the Put/Call Ratio. In this toolkit, we feature two of his other tools: Breadth Thrust: Number of Advancing / (Number of Advancing + Number of Declining Stocks) Market Thrust: (Number of Advancing × Advancing Volume) — (Number of Declining Stocks × Declining Volume) As we can see on the above chart, the Breadth Thrust printed a new signal on April 24, 2025, which is a bullish signal on the daily chart that can last several months, considering the previous signals. On the right side, we have the Market Thrust as the delta between advancing minus declining volume weighted. 🔹 Whaley Measures Wayne Whaley received the 2010 Charles Dow Award from the CMT Association, as stated on their website: "In 1994, the CMT Association established the Charles H. Dow Award to recognize outstanding research in technical analysis." We include two of the tools from this paper: Advance Decline Thrust: Number of Advancing / (Number of Advancing + Number of Declining Stocks) Up/Down Volume Thrust Advancing Volume / (Advancing Volume + Declining Volume) The chart above shows Thrust signals at extreme readings as described in the paper. 🔹 Divergences The divergence detector is enabled by default, traders can disable it and fine-tune the detection length in the settings panel. 🔹 Fixed Levels Traders can adjust the Thrust detection thresholds in the settings panel. In the image above, we can see the Deemer Breakaway Momentum 10 with the original threshold (below) and with the 3.0 threshold (above). 🔶 SETTINGS Breadth: Choose between 6 different breadth thrust measurement methods. Data: Choose between NYSE or NASDAQ exchanges. Divergences: Enable/Disable divergences and select the length detection. 🔹 Levels Use Fixed Levels: Enable/Disable Fixed Levels. Top Level: Select the top-level threshold. Bottom Level: Select bottom level threshold. Levels Style: Choose between dashed, dotted, or solid style. 🔹 Style Breadth: Select breadth colors Divergence: Select divergence colors
Penunjuk Pine Script®
oleh LuxAlgo
3
Gap & Reversal Signals (Normal vs Heikin-Ashi)🔍 Gap & Reversal Signals (Normal vs Heikin-Ashi) — by This script is designed to help traders identify key market signals by comparing Normal Candlestick Patterns with Heikin-Ashi values to highlight potential: ✅ Gap Up Opportunities (Strong Bullish Continuation) 🔻 Gap Down Alerts (Strong Bearish Continuation) 🔄 Bullish Reversal Zones (Possible Trend Reversal from Bearish to Bullish) 🔁 Bearish Reversal Zones (Possible Trend Reversal from Bullish to Bearish) 🧠 How it Works: Gap Up: Normal candle is bullish, Heikin-Ashi is also bullish, and price closes higher than the HA close. Gap Down: Normal candle is bearish, Heikin-Ashi is also bearish, and price closes lower than the HA close. Bullish Reversal: Normal candle is bullish, but Heikin-Ashi shows bearish — potential reversal signal. Bearish Reversal: Normal candle is bearish, but Heikin-Ashi shows bullish — potential reversal signal. 📊 Plot Details: 💚 Gap Up → Green Label Below Bar ❤️ Gap Down → Red Label Above Bar 💙 Bullish Reversal → Blue Label Below Bar 🧡 Bearish Reversal → Orange Label Above Bar 🚀 Use Cases: Swing and positional traders looking for high-probability reversal setups Intraday traders spotting early momentum shifts Backtesters combining HA + candlestick logic for more robust strategies
Penunjuk Pine Script®
oleh muddamgirivardhan
MTF RSI & SMA Crossover [OB/OS Filtered Signals]MTF RSI & SMA Crossover This custom indicator combines the power of Multi-Timeframe (MTF) RSI, Simple Moving Average (SMA), and overbought/oversold (OB/OS) conditions to provide precise buy and sell signals based on the crossovers of the RSI and its SMA. The indicator includes the following features: MTF RSI: The Relative Strength Index (RSI) is calculated on a customizable timeframe, giving traders the ability to analyze price momentum across different timeframes. SMA of RSI: The RSI is smoothed using a Simple Moving Average (SMA), helping to filter out market noise and identify clearer trend reversals. Overbought/Oversold Filter: Signals are only triggered when the RSI has been in an overbought (above 70) or oversold (below 30) condition, improving the reliability of potential trend reversals. Buy/Sell Signals: Buy signals occur when the RSI crosses above its SMA after being oversold, indicating potential upward momentum. Sell signals occur when the RSI crosses below its SMA after being overbought, indicating potential downward momentum. Customizable Label Colors: Choose your own colors for the "BUY" and "SELL" labels to match your chart's design and preferences. Alerts: Set alerts for buy and sell signals, ensuring you don't miss a potential trade. This indicator is ideal for traders who want to capture trend reversals and momentum shifts while filtering out false signals by using overbought and oversold conditions. Customize the settings to suit your trading style and strategy.
Penunjuk Pine Script®
oleh TypeGuyNZ
5
Multi Oscillator OB/OS Signals v3 - Scope TestIndicator Description: Multi Oscillator OB/OS Signals Purpose: The "Multi Oscillator OB/OS Signals" indicator is a TradingView tool designed to help traders identify potential market extremes and momentum shifts by monitoring four popular oscillators simultaneously: RSI, Stochastic RSI, CCI, and MACD. Instead of displaying these oscillators in separate panes, this indicator plots distinct visual symbols directly onto the main price chart whenever specific predefined conditions (typically related to overbought/oversold levels or line crossovers) are met for each oscillator. This provides a consolidated view of potential signals from these different technical tools. How It Works: The indicator calculates the values for each of the four oscillators based on user-defined settings (like length periods and price sources) and then checks for specific signal conditions on every bar: Relative Strength Index (RSI): It monitors the standard RSI value. When the RSI crosses above the user-defined Overbought (OB) level (e.g., 70), it plots an "Overbought" symbol (like a downward triangle) above that price bar. When the RSI crosses below the user-defined Oversold (OS) level (e.g., 30), it plots an "Oversold" symbol (like an upward triangle) below that price bar. Stochastic RSI: This works similarly to RSI but is based on the Stochastic calculation applied to the RSI value itself (specifically, the %K line of the Stoch RSI). When the Stoch RSI's %K line crosses above its Overbought level (e.g., 80), it plots its designated OB symbol (like a downward arrow) above the bar. When the %K line crosses below its Oversold level (e.g., 20), it plots its OS symbol (like an upward arrow) below the bar. Commodity Channel Index (CCI): It tracks the CCI value. When the CCI crosses above its Overbought level (e.g., +100), it plots its OB symbol (like a square) above the bar. When the CCI crosses below its Oversold level (e.g., -100), it plots its OS symbol (like a square) below the bar. Moving Average Convergence Divergence (MACD): Unlike the others, MACD signals here are not based on fixed OB/OS levels. It identifies when the main MACD line crosses above its Signal line. This is considered a bullish crossover and is indicated by a specific symbol (like an upward label) plotted below the price bar. It also identifies when the MACD line crosses below its Signal line. This is a bearish crossover, indicated by a different symbol (like a downward label) plotted above the price bar. Visualization: All these signals appear as small, distinct shapes directly on the price chart at the bar where the condition occurred. The shapes, their colors, and their position (above or below the bar) are predefined for each signal type to allow for quick visual identification. Note: In the current version of the underlying code, the size of these shapes is fixed (e.g., tiny) and not user-adjustable via the settings. Configuration: Users can access the indicator's settings to customize: The calculation parameters (Length periods, smoothing, price source) for each individual oscillator (RSI, Stoch RSI, CCI, MACD). The specific Overbought and Oversold threshold levels for RSI, Stoch RSI, and CCI. The colors associated with each type of signal (OB, OS, Bullish Cross, Bearish Cross). (Limitation Note: While settings exist to toggle the visibility of signals for each oscillator individually, due to a technical workaround in the current code, these toggles may not actively prevent the shapes from plotting if the underlying condition is met.) Alerts: The indicator itself does not automatically generate pop-up alerts. However, it creates the necessary "Alert Conditions" within TradingView's alert system. This means users can manually set up alerts for any of the specific signals generated by the indicator (e.g., "RSI Overbought Enter," "MACD Bullish Crossover"). When creating an alert, the user selects this indicator, chooses the desired condition from the list provided by the script, and configures the alert actions. Intended Use: This indicator aims to provide traders with convenient visual cues for potential over-extension in price (via OB/OS signals) or shifts in momentum (via MACD crossovers) based on multiple standard oscillators. These signals are often used as potential indicators for: Identifying areas where a trend might be exhausted and prone to a pullback or reversal. Confirming signals generated by other analysis methods or trading strategies. Noting shifts in short-term momentum. Disclaimer: As with any technical indicator, the signals generated should not be taken as direct buy or sell recommendations. They are best used in conjunction with other forms of analysis (price action, trend analysis, volume, fundamental analysis, etc.) and within the framework of a well-defined trading plan that includes risk management. Market conditions can change, and indicator signals can sometimes be false or misleading.
Penunjuk Pine Script®
oleh ozgurzari
2
Fibonacci Levels with SMA SignalsThis strategy leverages Fibonacci retracement levels along with the 100-period and 200-period Simple Moving Averages (SMAs) to generate robust entry and exit signals for long-term swing trades, particularly on the daily timeframe. The combination of Fibonacci levels and SMAs provides a powerful way to capitalize on major trend reversals and market retracements, especially in stocks and major crypto assets. The core of this strategy involves calculating key Fibonacci retracement levels (23.6%, 38.2%, 61.8%, and 78.6%) based on the highest high and lowest low over a 365-day lookback period. These Fibonacci levels act as potential support and resistance zones, indicating areas where price may retrace before continuing its trend. The 100-period SMA and 200-period SMA are used to define the broader market trend, with the strategy favoring uptrend conditions for buying and downtrend conditions for selling. This indicator highlights high-probability zones for long or short swing setups based on Fibonacci retracements and the broader trend, using the 100 and 200 SMAs. In addition, this strategy integrates alert conditions to notify the trader when these key conditions are met, providing real-time notifications for optimal entry and exit points. These alerts ensure that the trader does not miss significant trade opportunities. Key Features: Fibonacci Retracement Levels: The Fibonacci levels provide natural price zones that traders often watch for potential reversals, making them highly relevant in the context of swing trading. 100 and 200 SMAs: These moving averages help define the overall market trend, ensuring that the strategy operates in line with broader price action. Buy and Sell Signals: The strategy generates buy signals when the price is above the 200 SMA and retraces to the 61.8% Fibonacci level. Sell signals are triggered when the price is below the 200 SMA and retraces to the 38.2% Fibonacci level. Alert Conditions: The alert conditions notify traders when the price is at the key Fibonacci levels in the context of an uptrend or downtrend, allowing for efficient monitoring of trade opportunities. Application: This strategy is ideal for long-term swing trades in both stocks and major cryptocurrencies (such as BTC and ETH), particularly on the daily timeframe. The daily timeframe allows for capturing broader, more sustained trends, making it suitable for identifying high-quality entries and exits. By using the 100 and 200 SMAs, the strategy filters out noise and focuses on larger, more meaningful trends, which is especially useful for longer-term positions. This script is optimized for swing traders looking to capitalize on retracements and trends in markets like stocks and crypto. By combining Fibonacci levels with SMAs, the strategy ensures that traders are not only entering at optimal levels but also trading in the direction of the prevailing trend.
Penunjuk Pine Script®
oleh monkrs
2
EREMA SignalsOverview The EREMA Signals indicator is a specialized overlay tool designed to display precise buy and sell signals directly on your price chart. Working as a companion to the main Ehlers Reverse EMA indicator, it brings powerful momentum-based signals to your trading strategy without cluttering your chart with additional indicator panels. Key Features On-Chart Signal Visualization: Clear buy/sell arrows appear directly on the price chart Dynamic Signal Positioning: Signals automatically adjust their distance from price using ATR for optimal visibility Multiple Signal Types: Choose from three distinct signal generation methods Clean Chart Interface: Displays only the essential signals, maintaining chart clarity Signal Types Zero Cross: Generates signals when the Ehlers Reverse EMA crosses above/below the zero line MA Cross: Identifies when the Ehlers Reverse EMA crosses its own moving average Zero & MA Cross: The strictest filter, requiring both zero line and MA crossovers for signal generation How To Use Setup First add the main "Ehlers Reverse EMA" indicator to your chart Then add this "EREMA Signals" indicator as an overlay Configure both indicators with identical settings for alpha, MA type, and signal method Reading Signals Green Triangles (below price): Buy signals indicating potential upward momentum Red Triangles (above price): Sell signals indicating potential downward momentum Trading Applications Trend Identification: Zero cross signals help identify changes in overall trend direction Momentum Trading: MA cross signals can identify shorter-term momentum shifts Confirmation Tool: Use alongside other technical indicators or price action strategies Multiple Timeframe Analysis: Apply to different timeframes for more robust trading decisions Best Practices Consider using longer timeframes (4H, Daily) for more reliable signals The combined "Zero & MA Cross" setting provides fewer but higher-quality signals For tighter entries, use the "MA Cross" option in established trends Adjust the Alpha parameter to match your trading style (lower for longer-term, higher for shorter-term) This indicator works seamlessly with the main Ehlers Reverse EMA indicator while maintaining a clean chart interface, making it ideal for traders who prefer visual simplicity without sacrificing analytical power.
Penunjuk Pine Script®
oleh AlgoCollective
Nef33 Forex & Crypto Trading Signals PRO 1. Understanding the Indicator's Context The indicator generates signals based on confluence (trend, volume, key zones, etc.), but it does not include predefined SL or TP levels. To establish them, we must: Use dynamic or static support/resistance levels already present in the script. Incorporate volatility (such as ATR) to adjust the levels based on market conditions. Define a risk/reward ratio (e.g., 1:2). 2. Options for Determining SL and TP Below, I provide several ideas based on the tools available in the script: Stop Loss (SL) The SL should protect you from adverse movements. You can base it on: ATR (Volatility): Use the smoothed ATR (atr_smooth) multiplied by a factor (e.g., 1.5 or 2) to set a dynamic SL. Buy: SL = Entry Price - (atr_smooth * atr_mult). Sell: SL = Entry Price + (atr_smooth * atr_mult). Key Zones: Place the SL below a support (for buys) or above a resistance (for sells), using Order Blocks, Fair Value Gaps, or Liquidity Zones. Buy: SL below the nearest ob_lows or fvg_lows. Sell: SL above the nearest ob_highs or fvg_highs. VWAP: Use the daily VWAP (vwap_day) as a critical level. Buy: SL below vwap_day. Sell: SL above vwap_day. Take Profit (TP) The TP should maximize profits. You can base it on: Risk/Reward Ratio: Multiply the SL distance by a factor (e.g., 2 or 3). Buy: TP = Entry Price + (SL Distance * 2). Sell: TP = Entry Price - (SL Distance * 2). Key Zones: Target the next resistance (for buys) or support (for sells). Buy: TP at the next ob_highs, fvg_highs, or liq_zone_high. Sell: TP at the next ob_lows, fvg_lows, or liq_zone_low. Ichimoku: Use the cloud levels (Senkou Span A/B) as targets. Buy: TP at senkou_span_a or senkou_span_b (whichever is higher). Sell: TP at senkou_span_a or senkou_span_b (whichever is lower). 3. Practical Implementation Since the script does not automatically draw SL/TP, you can: Calculate them manually: Observe the chart and use the levels mentioned. Modify the code: Add SL/TP as labels (label.new) at the moment of the signal. Here’s an example of how to modify the code to display SL and TP based on ATR with a 1:2 risk/reward ratio: Modified Code (Signals Section) Find the lines where the signals (trade_buy and trade_sell) are generated and add the following: pinescript // Calculate SL and TP based on ATR atr_sl_mult = 1.5 // Multiplier for SL atr_tp_mult = 3.0 // Multiplier for TP (1:2 ratio) sl_distance = atr_smooth * atr_sl_mult tp_distance = atr_smooth * atr_tp_mult if trade_buy entry_price = close sl_price = entry_price - sl_distance tp_price = entry_price + tp_distance label.new(bar_index, low, "Buy: " + str.tostring(math.round(bull_conditions, 1)), color=color.green, textcolor=color.white, style=label.style_label_up, size=size.tiny) label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny) label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_up, size=size.tiny) if trade_sell entry_price = close sl_price = entry_price + sl_distance tp_price = entry_price - tp_distance label.new(bar_index, high, "Sell: " + str.tostring(math.round(bear_conditions, 1)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny) label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_up, size=size.tiny) label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_down, size=size.tiny) Code Explanation SL: Calculated by subtracting/adding sl_distance to the entry price (close) depending on whether it’s a buy or sell. TP: Calculated with a double distance (tp_distance) for a 1:2 risk/reward ratio. Visualization: Labels are added to the chart to display SL (red) and TP (blue). 4. Practical Strategy Without Modifying the Code If you don’t want to modify the script, follow these steps manually: Entry: Take the trade_buy or trade_sell signal. SL: Check the smoothed ATR (atr_smooth) on the chart or calculate a fixed level (e.g., 1.5 times the ATR). Also, review nearby key zones (OB, FVG, VWAP). TP: Define a target based on the next key zone or multiply the SL distance by 2 or 3. Example: Buy at 100, ATR = 2. SL = 100 - (2 * 1.5) = 97. TP = 100 + (2 * 3) = 106. 5. Recommendations Test in Demo: Apply this logic in a demo account to adjust the multipliers (atr_sl_mult, atr_tp_mult) based on the market (forex or crypto). Combine with Zones: If the ATR-based SL is too wide, use the nearest OB or FVG as a reference. Risk/Reward Ratio: Adjust the TP based on your tolerance (1:1, 1:2, 1:3)
Penunjuk Pine Script®
oleh neftali1327
1
Range Breakout Signals [AlgoAlpha]OVERVIEW This script detects range-bound market conditions and breakout signals using a combination of volatility compression and volume imbalance analysis. It identifies zones where price consolidates within a defined range and highlights potential breakout points with visual markers. Traders can use this to spot market transitions from ranging to trending phases, aiding in decision-making for breakout strategies. CONCEPTS The script measures volatility by comparing the ratio of the simple moving average (SMA) of price movements to their median value. When volatility drops below a threshold, the script assumes a range-bound market. It then tracks the cumulative volume of buying and selling pressure to assess breakout strength. The approach is based on the idea that market consolidation often precedes strong moves, and volume distribution can provide clues on the breakout direction. FEATURES Range Detection : Uses a volatility filter to identify low-volatility zones and marks them on the chart with shaded boxes. Volume Imbalance Analysis : Evaluates cumulative up and down volume over a confirmation period to assess directional bias. Breakout Signals : When price exits a detected range, the script plots breakout markers. A ▲ symbol indicates a bullish breakout, and a ▼ symbol indicates a bearish breakout. Additional "+" markers indicate strong volume imbalance favoring the breakout direction. Adaptive Timeframe Volume Analysis : The script dynamically adjusts its volume calculation based on the chart’s timeframe, ensuring reliable signal generation across different trading conditions. Alerts : Notifies traders when a new range is detected or when a breakout occurs, allowing for automated monitoring. USAGE Traders can use this script to identify potential trade setups by entering positions when price breaks out of a detected range. For breakout confirmation, traders can look at volume imbalance cues—bullish breakouts with strong buying volume may indicate sustained moves, while weak volume breakouts may lead to false signals. This script is particularly useful for breakout traders, range traders seeking to fade breakouts, and those looking to automate trade alerts in volatile markets.
Penunjuk Pine Script®
oleh AlgoAlpha
9
RoGr75 - Global Exchange Open/Close SignalsGlobal Exchange Open/Close Signals Indicator This indicator helps traders track market hours for major global exchanges (NYSE, LSE, TSE, HKEX, and ASX) with these key features: • Real-time Status Dashboard: Shows which exchanges are currently open/closed with an easy-to-read color-coded display (Green = Open, Red = Closed) • Visual Market Open/Close Signals: Displays gradient background lines when your selected exchange opens (green) or closes (red) • Timezone Adjustment: Easily adapt the indicator to your local timezone using the UTC offset setting Supported Exchanges and Trading Hours (UTC): • NYSE: 13:30 - 20:00 (9:30 AM - 4:00 PM ET) • LSE: 08:00 - 16:30 (8:00 AM - 4:30 PM London) • TSE: 00:00 - 06:30 (9:00 AM - 3:30 PM Tokyo) • HKEX: 01:30 - 08:00 (9:30 AM - 4:00 PM HK) • ASX: 00:00 - 06:00 (10:00 AM - 4:00 PM Sydney) Settings: • Select Exchange: Choose which exchange to monitor for open/close signals • Show Dashboard: Toggle the exchange status dashboard on/off • User Timezone Offset: Adjust the display to your local timezone (in UTC) Use Cases: • Monitor multiple exchange hours simultaneously • Get visual alerts for market opens and closes • Coordinate trading across different time zones • Plan entries and exits around market hours • Manage global trading portfolios effectively Note: The indicator handles timezone conversions and markets crossing midnight automatically. Times are based on standard trading sessions and may not reflect holidays or special trading hours.
Penunjuk Pine Script®
oleh Vallentuna2
2
[SHORT ONLY] ATR Sell the Rip Mean Reversion Strategy█ STRATEGY DESCRIPTION The "ATR Sell the Rip Mean Reversion Strategy" is a contrarian system that targets overextended price moves on stocks and ETFs. It calculates an ATR‐based trigger level to identify shorting opportunities. When the current close exceeds this smoothed ATR trigger, and if the close is below a 200-period EMA (if enabled), the strategy initiates a short entry, aiming to profit from an anticipated corrective pullback. █ HOW IS THE ATR SIGNAL BAND CALCULATED? This strategy computes an ATR-based signal trigger as follows: Calculate the ATR The strategy computes the Average True Range (ATR) using a configurable period provided by the user: atrValue = ta.atr(atrPeriod) Determine the Threshold Multiply the ATR by a predefined multiplier and add it to the current close: atrThreshold = close + atrValue * atrMultInput Smooth the Threshold Apply a Simple Moving Average over a specified period to smooth out the threshold, reducing noise: signalTrigger = ta.sma(atrThreshold, smoothPeriodInput) █ SIGNAL GENERATION 1. SHORT ENTRY A Short Signal is triggered when: The current close is above the smoothed ATR signal trigger. The trade occurs within the specified trading window (between Start Time and End Time). If the EMA filter is enabled, the close must also be below the 200-period EMA. 2. EXIT CONDITION An exit Signal is generated when the current close falls below the previous bar’s low (close < low ), indicating a potential bearish reversal and prompting the strategy to close its short position. █ ADDITIONAL SETTINGS ATR Period: The period used to calculate the ATR, allowing for adaptability to different volatility conditions (default is 20). ATR Multiplier: The multiplier applied to the ATR to determine the raw threshold (default is 1.0). Smoothing Period: The period over which the raw ATR threshold is smoothed using an SMA (default is 10). Start Time and End Time: Defines the time window during which trades are allowed. EMA Filter (Optional): When enabled, short entries are only executed if the current close is below the 200-period EMA, confirming a bearish trend. █ PERFORMANCE OVERVIEW This strategy is designed for use on the Daily timeframe, targeting stocks and ETFs by capitalizing on overextended price moves. It utilizes a dynamic, ATR-based trigger to identify when prices have potentially peaked, setting the stage for a mean reversion short entry. The optional EMA filter helps align trades with broader market trends, potentially reducing false signals. Backtesting is recommended to fine-tune the ATR multiplier, smoothing period, and EMA settings to match the volatility and behavior of specific markets.
Strategi Pine Script®
oleh Botnet101
1
[COG] Adaptive Squeeze Intensity 📊 Adaptive Squeeze Intensity (ASI) Indicator 🎯 Overview The Adaptive Squeeze Intensity (ASI) indicator is an advanced technical analysis tool that combines the power of volatility compression analysis with momentum, volume, and trend confirmation to identify high-probability trading opportunities. It quantifies the degree of price compression using a sophisticated scoring system and provides clear entry signals for both long and short positions. ⭐ Key Features - 📈 Comprehensive squeeze intensity scoring system (0-100) - 📏 Multiple Keltner Channel compression zones - 📊 Volume analysis integration - 🎯 EMA-based trend confirmation - 🎨 Proximity-based entry validation - 📱 Visual status monitoring - 🎨 Customizable color schemes - ⚡ Clear entry signals with directional indicators 🔧 Components 1. 📐 Squeeze Intensity Score (0-100) The indicator calculates a total squeeze intensity score based on four components: - 📊 Band Convergence (0-40 points): Measures the relationship between Bollinger Bands and Keltner Channels - 📍 Price Position (0-20 points): Evaluates price location relative to the base channels - 📈 Volume Intensity (0-20 points): Analyzes volume patterns and thresholds - ⚡ Momentum (0-20 points): Assesses price momentum and direction 2. 🎨 Compression Zones Visual representation of squeeze intensity levels: - 🔴 Extreme Squeeze (80-100): Red zone - 🟠 Strong Squeeze (60-80): Orange zone - 🟡 Moderate Squeeze (40-60): Yellow zone - 🟢 Light Squeeze (20-40): Green zone - ⚪ No Squeeze (0-20): Base zone 3. 🎯 Entry Signals The indicator generates entry signals based on: - ✨ Squeeze release confirmation - ➡️ Momentum direction - 📊 Candlestick pattern confirmation - 📈 Optional EMA trend alignment - 🎯 Customizable EMA proximity validation ⚙️ Settings 🔧 Main Settings - Base Length: Determines the calculation period for main indicators - BB Multiplier: Sets the Bollinger Bands deviation multiplier - Keltner Channel Multipliers: Three separate multipliers for different compression zones 📈 Trend Confirmation - Four customizable EMA periods (default: 21, 34, 55, 89) - Optional trend requirement for entry signals - Adjustable EMA proximity threshold 📊 Volume Analysis - Customizable volume MA length - Adjustable volume threshold for signal confirmation - Option to enable/disable volume analysis 🎨 Visualization - Customizable bullish/bearish colors - Optional intensity zones display - Status monitor with real-time score and state information - Clear entry arrows and background highlights 💻 Technical Code Breakdown 1. Core Calculations // Base calculations for EMAs ema_1 = ta.ema(close, ema_length_1) ema_2 = ta.ema(close, ema_length_2) ema_3 = ta.ema(close, ema_length_3) ema_4 = ta.ema(close, ema_length_4) // Proximity calculation for entry validation ema_prox_raw = math.abs(close - ema_1) / ema_1 * 100 is_close_to_ema_long = close > ema_1 and ema_prox_raw <= prox_percent ``` ### 2. Squeeze Detection System ```pine // Bollinger Bands setup BB_basis = ta.sma(close, length) BB_dev = ta.stdev(close, length) BB_upper = BB_basis + BB_mult * BB_dev BB_lower = BB_basis - BB_mult * BB_dev // Keltner Channels setup KC_basis = ta.sma(close, length) KC_range = ta.sma(ta.tr, length) KC_upper_high = KC_basis + KC_range * KC_mult_high KC_lower_high = KC_basis - KC_range * KC_mult_high ``` ### 3. Scoring System Implementation ```pine // Band Convergence Score band_ratio = BB_width / KC_width convergence_score = math.max(0, 40 * (1 - band_ratio)) // Price Position Score price_range = math.abs(close - KC_basis) / (KC_upper_low - KC_lower_low) position_score = 20 * (1 - price_range) // Final Score Calculation squeeze_score = convergence_score + position_score + vol_score + mom_score ``` ### 4. Signal Generation ```pine // Entry Signal Logic long_signal = squeeze_release and is_momentum_positive and (not use_ema_trend or (bullish_trend and is_close_to_ema_long)) and is_bullish_candle short_signal = squeeze_release and is_momentum_negative and (not use_ema_trend or (bearish_trend and is_close_to_ema_short)) and is_bearish_candle ``` 📈 Trading Signals 🚀 Long Entry Conditions - Squeeze release detected - Positive momentum - Bullish candlestick - Price above relevant EMAs (if enabled) - Within EMA proximity threshold (if enabled) - Sufficient volume confirmation (if enabled) 🔻 Short Entry Conditions - Squeeze release detected - Negative momentum - Bearish candlestick - Price below relevant EMAs (if enabled) - Within EMA proximity threshold (if enabled) - Sufficient volume confirmation (if enabled) ⚠️ Alert Conditions - 🔔 Extreme squeeze level reached (score crosses above 80) - 🚀 Long squeeze release signal - 🔻 Short squeeze release signal 💡 Tips for Usage 1. 📱 Use the status monitor to track real-time squeeze intensity and state 2. 🎨 Pay attention to the color gradient for trend direction and strength 3. ⏰ Consider using multiple timeframes for confirmation 4. ⚙️ Adjust EMA and proximity settings based on your trading style 5. 📊 Use volume analysis for additional confirmation in liquid markets 📝 Notes - 🔧 The indicator combines multiple technical analysis concepts for robust signal generation - 📈 Suitable for all tradable markets and timeframes - ⭐ Best results typically achieved in trending markets with clear volatility cycles - 🎯 Consider using in conjunction with other technical analysis tools for confirmation ⚠️ Disclaimer This technical indicator is designed to assist in analysis but should not be considered as financial advice. Always perform your own analysis and risk management when trading.
Penunjuk Pine Script®
oleh CognitiveAlpha
RSI Divergence + Sweep + Signal + Alerts Toolkit [TrendX_]The RSI Toolkit is a powerful set of tools designed to enhance the functionality of the traditional Relative Strength Index (RSI) indicator. By integrating advanced features such as Moving Averages, Divergences, and Sweeps, it helps traders identify key market dynamics, potential reversals, and newly-approach trading stragies. The toolkit expands on standard RSI usage by incorporating features from smart money concepts (Just try to be creative 🤣 Hope you like it), providing a deeper understanding of momentum, liquidity sweeps, and trend reversals. It is suitable for RSI traders who want to make more informed and effective trading decisions. 💎 FEATURES RSI Moving Average The RSI Moving Average (RSI MA) is the moving average of the RSI itself. It can be customized to use various types of moving averages, including Simple Moving Average (SMA), Exponential Moving Average (EMA), Relative Moving Average (RMA), and Volume-Weighted Moving Average (VWMA). The RSI MA smooths out the RSI fluctuations, making it easier to identify trends and crossovers. It helps traders spot momentum shifts and potential entry/exit points by observing when the RSI crosses above or below its moving average. RSI Divergence RSI Divergence identifies discrepancies between price action and RSI momentum. There are two types of divergences: Regular Divergence - Indicates a potential trend reversal; Hidden Divergence - Suggests the continuation of the current trend. Divergence is a critical signal for spotting weakness or strength in a trend. Regular divergence highlights potential trend reversals, while hidden divergence confirms trend continuation, offering traders valuable insights into market momentum and possible trade setups. RSI Sweep RSI Sweep detects moments when the RSI removes liquidity from a trend structure by sweeping above or below the price at key momentum level crossing. These sweeps are overlaid on the RSI chart for easier visualized. RSI Sweeps are significant because they indicate potential turning points in the market. When RSI sweeps occur: In an uptrend - they suggest buyers' momentum has peaked, possibly leading to a reversal; In a downtrend - they indicate sellers’ momentum has peaked, also hinting at a reversal. (Note: This feature incorporates Liquidity Sweep concepts from Smart Money Concepts into RSI analysis, helping RSI traders identify areas where liquidity has been removed, which often precedes a trend reversal) 🔎 BREAKDOWN RSI Moving Average How MA created: The RSI value is calculated first using the standard RSI formula. The MA is then applied to the RSI values using the trader’s chosen type of MA (SMA, EMA, RMA, or VWMA). The flexibility to choose the type of MA allows traders to adjust the smoothing effect based on their trading style. Why use MA: RSI by itself can be noisy and difficult to interpret in volatile markets. Applying moving average would provide a smoother, more reliable view of RSI trends. RSI Divergence How Regular Divergence created: Regular Divergence is detected when price forms HIGHER highs while RSI forms LOWER highs (bearish divergence) or when price forms LOWER lows while RSI forms HIGHER lows (bullish divergence). How Hidden Divergence created: Hidden Divergence is identified when price forms HIGHER lows while RSI forms LOWER lows (bullish hidden divergence) or when price forms LOWER highs while RSI forms HIGHER highs (bearish hidden divergence). Why use Divergence: Divergences provide early warning signals of a potential trend change. Regular divergence helps traders anticipate reversals, while hidden divergence supports trend continuation, enabling traders to align their trades with market momentum. RSI Sweep How Sweep created: Trend Structure Shift are identified based on the RSI crossing key momentum level of 50. To track these sweeps, the indicator pinpoints moments when liquidity is removed from the Trend Structure Shift. This is a direct application of Liquidity Sweep concepts used in Smart Money theories, adapted to RSI. Why use Sweep: RSI Sweeps are created to help traders detect potential trend reversals. By identifying areas where momentum has exhausted during a certain trend direction, the indicator highlights opportunities for traders to enter trades early in a reversal or continuation phase. ⚙️ USAGES Divergence + Sweep This is an example of combining Devergence & Sweep in BTCUSDT (1 hour) Wait for a divergence (regular or hidden) to form on the RSI. After the divergence is complete, look for a sweep to occur. A potential entry might be formed at the end of the sweep. Divergences indicate a potential trend change, but confirmation is required to ensure the setup is valid. The RSI Sweep provides that confirmation by signaling a liquidity event, increasing the likelihood of a successful trade. Sweep + MA Cross This is an example of combining Devergence & Sweep in BTCUSDT (1 hour) Wait for an RSI Sweep to form then a potential entry might be formed when the RSI crosses its MA. The RSI Sweep highlights a potential turning point in the market. The MA cross serves as additional confirmation that momentum has shifted, providing a more reliable and more potential entry signal for trend continuations. DISCLAIMER This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Penunjuk Pine Script®
oleh TrendX_
8
Alternate Bat Harmonic Pattern [TradingFinder] ALT Bat Indicator🔵 Introduction The Alternate Bat harmonic pattern is one of the most precise and practical tools in technical analysis, introduced by Scott Carney in 2003. This pattern focuses on specific Fibonacci ratios, such as 0.382 at point B and 1.13XA at point D, to identify Potential Reversal Zones (PRZ) where price is likely to reverse. The Alternative Bat pattern emerged as a result of repeated failures observed in the standard Bat pattern. Traders entering trades near the 0.886XA level of the standard Bat often encountered losses. In the Alternate Bat, point D extends beyond 0.886XA, typically reversing at 1.13XA, offering a more accurate identification of the reversal zone. A key characteristic of this pattern is its M- or W-shaped structure, where the midpoint B retraces 0.382XA or less. Additionally, the CD leg requires an extension of 2.0 to 3.618 to complete the pattern. Due to its accuracy and the predictable behavior of price near the PRZ, the Alternate Bat pattern is recognized as a powerful tool for forecasting price reversals. In the bullish Alternative Bat pattern, an M-shaped structure forms. After an initial upward movement (XA), price undergoes a short correction at point B (0.382XA) and then declines toward point D (1.13XA and an extension of 2.0 to 3.618BC), where a potential upward reversal is expected. In the bearish Alternate Bat pattern, a W-shaped structure forms. After an initial downward movement (XA), price retraces slightly at point B (0.382XA) and then rises toward point D (1.13XA and an extension of 2.0 to 3.618BC), where a potential downward reversal is anticipated. 🔵 How to Use The Alternate Bat harmonic pattern is a key tool for identifying potential reversal zones (PRZ) in the market. By leveraging the 0.382 retracement at point B and the 1.13XA extension at point D, along with symmetrical price structures, this pattern offers precise reversal opportunities in both bullish and bearish market conditions. 🟣 Bullish Alternate Bat Pattern The bullish Alternate Bat pattern forms during a downtrend, signaling a potential reversal to the upside. This pattern consists of three downward movements with two corrective waves, ultimately reaching point D, which marks the PRZ. At the PRZ, the convergence of Fibonacci levels—1.13XA and extensions ranging from 2.0 to 3.618BC—creates a strong support zone where price is likely to reverse upward. 🟣 Bearish Alternative Bat Pattern The bearish Alternate Bat pattern develops during an uptrend, indicating a potential reversal to the downside. This pattern features three upward price movements with two retracements, ending at point D, where the PRZ forms. Point D is defined by the 1.13XA extension and the 2.0 to 3.618BC projection, creating a strong resistance zone where price is expected to reverse downward. 🔵 Setting 🟣 Logical Setting ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition. Show Valid Format : If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern. Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk. Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period. 🟣 Genaral Setting Show : Enter "On" to display the template and "Off" to not display the template. Color : Enter the desired color to draw the pattern in this parameter. LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness. LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries. 🟣 Alert Setting Alert : On / Off Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar". Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default. 🔵 Conclusion The Alternate Bat harmonic pattern, with its precise Fibonacci ratios like 0.382 and 1.13XA, is a reliable tool for identifying Potential Reversal Zones (PRZ) in financial markets. By recognizing symmetrical price structures and focusing on both bullish and bearish scenarios, traders can identify optimal entry and exit points with high accuracy. The key strength of this pattern lies in its ability to define strong support and resistance zones near the PRZ, increasing the probability of price reversals. Combining the pattern with candlestick confirmations and volume analysis enhances its effectiveness. Ultimately, incorporating the Alternative Bat pattern with proper risk management and Fibonacci-based targets allows traders to enter the market confidently and capitalize on potential price reversals.
Penunjuk Pine Script®
oleh TFlab
2
Half Trend Regression [AlgoAlpha]Introducing the Half Trend Regression indicator by AlgoAlpha, a cutting-edge tool designed to provide traders with precise trend detection and reversal signals. This indicator uniquely combines linear regression analysis with ATR-based channel offsets to deliver a dynamic view of market trends. Ideal for traders looking to integrate statistical methods into their analysis to improve trade timing and decision-making. Key Features 🎨 Customizable Appearance : Adjust colors for bullish (green) and bearish (red) trends to match your charting preferences. 🔧 Flexible Parameters : Configure amplitude, channel deviation, and linear regression length to tailor the indicator to different time frames and trading styles. 📈 Dynamic Trend Line : Utilizes linear regression of high, low, and close prices to calculate a trend line that adapts to market movements. 🚀 Trend Direction Signals : Provides clear visual signals for potential trend reversals with plotted arrows on the chart. 📊 Adaptive Channels : Incorporates ATR-based channel offsets to account for market volatility and highlight potential support and resistance zones. 🔔 Alerts : Set up alerts for bullish or bearish trend changes to stay informed of market shifts in real-time. How to Use 🛠 Add the Indicator : Add the Half Trend Regression indicator to your chart from the TradingView library. Access the settings to customize parameters such as amplitude, channel deviation, and linear regression length to suit your trading strategy. 📊 Analyze the Trend : Observe the plotted trend line and the filled areas under it. A green fill indicates a bullish trend, while a red fill indicates a bearish trend. 🔔 Set Alerts : Use the built-in alert conditions to receive notifications when a trend reversal is detected, allowing you to react promptly to market changes. How It Works The Half Trend Regression indicator calculates linear regression lines for the high, low, and close prices over a specified period to determine the general direction of the market. It then computes moving averages and identifies the highest and lowest points within these regression lines to establish a dynamic trend line. The trend direction is determined by comparing the moving averages and previous price levels, updating as new data becomes available. To account for market volatility, the indicator calculates channels above and below the trend line, offset by a multiple of half the Average True Range (ATR). These channels help visualize potential support and resistance zones. The area under the trend line is filled with color corresponding to the current trend direction—green for bullish and red for bearish. When the trend direction changes, the indicator plots arrows on the chart to signal a potential reversal, and alerts can be set up to notify you. By integrating linear regression and ATR-based channels, the indicator provides a comprehensive view of market trends and potential reversal points, aiding traders in making informed decisions. Enhance your trading strategy with the Half Trend Regression indicator by AlgoAlpha and gain a statistical edge in the markets! 🌟📊
Penunjuk Pine Script®
oleh AlgoAlpha
3
Target Trend [BigBeluga]The Target Trend indicator is a trend-following tool designed to assist traders in capturing directional moves while managing entry, stop loss, and profit targets visually on the chart. Using adaptive SMA bands as the core trend detection method, this indicator dynamically identifies shifts in trend direction and provides structured exit points through customizable target levels. SP500: 🔵 IDEA The Target Trend indicator’s concept is to simplify trade management by providing automated visual cues for entries, stops, and targets directly on the chart. When a trend change is detected, the indicator prints an up or down triangle to signal entry direction, plots three customizable target levels for potential exits, and calculates a stop-loss level below or above the entry point. The indicator continuously adapts as price moves, making it easier for traders to follow and manage trades in real time. When price crosses a target level, the label changes to a check mark, confirming that the target has been achieved. Similarly, if the stop-loss level is hit, the label changes to an "X," and the line becomes dashed, indicating that the stop loss has been activated. This feature provides traders with a clear visual trail of whether their targets or stop loss have been hit, allowing for easier trade tracking and exit strategy management. 🔵 KEY FEATURES & USAGE SMA Bands for Trend Detection: The indicator uses adaptive SMA bands to identify the trend direction. When price crosses above or below these bands, a new trend is detected, triggering entry signals. The entry point is marked on the chart with a triangle symbol, which updates with each new trend change. Automated Targets and Stop Loss Management: Upon a new trend signal, the indicator automatically plots three price targets and a stop loss level. These levels provide traders with structured exit points for potential gains and a clear risk limit. The stop loss is placed below or above the entry point, depending on the trend direction, to manage downside risk effectively. Visual Target and Stop Loss Validation: As price hits each target, the label beside the level updates to a check mark, indicating that the target has been reached. Similarly, if the stop loss is activated, the stop loss label changes to an "X," and the line becomes dashed. This feature visually confirms whether targets or stop losses are hit, simplifying trade management. The indicator also marks the entry price at each trend change with a label on the chart, allowing traders to quickly see their initial entry point relative to current price and target levels. 🔵 CUSTOMIZATION Trend Length: Set the lookback period for the trend-detection SMA bands to adjust the sensitivity to trend changes. Targets Setting: Customize the number and spacing of the targets to fit your trading style and market conditions. Visual Styles: Adjust the appearance of labels, lines, and symbols on the chart for a clearer view and personalized layout. 🔵 CONCLUSION The Target Trend indicator offers a streamlined approach to trend trading by integrating entry, target, and stop loss management into a single visual tool. With automatic tracking of target levels and stop loss hits, it helps traders stay focused on the current trend while keeping track of risk and reward with minimal effort.
Penunjuk Pine Script®
oleh BigBeluga
77
Multi Fibonacci Supertrend with Signals【FIbonacciFlux】Multi Fibonacci Supertrend with Signals (MFSS) Overview The Multi Fibonacci Supertrend with Signals (MFSS) is an advanced technical analysis tool that combines multiple Supertrend indicators using Fibonacci ratios to identify trend directions and potential trading opportunities. Key Features 1. Fibonacci-Based Supertrend Levels * Factor 1 (Weak) : 0.618 - The golden ratio * Factor 2 (Medium) : 1.618 - The Fibonacci ratio * Factor 3 (Strong) : 2.618 - The extension ratio 2. Visual Components * Multi-layered Trend Lines * Different line weights for easy identification * Progressive transparency from Factor 1 to Factor 3 * Color-coded trend directions (Green for bullish, Red for bearish) * Dynamic Fill Areas * Gradient fills between price and trend lines * Visual representation of trend strength * Automatic color adjustment based on trend direction * Signal Indicators * Clear BUY/SELL labels on chart * Position-adaptive signal placement * High-visibility color scheme 3. Signal Generation Logic The system generates signals based on two key conditions: * Primary Condition : * BUY : Price crossunder Supertrend2 (Factor 1.618) * SELL : Price crossover Supertrend2 (Factor 1.618) * Confirmation Filter : * Signals only trigger when Supertrend3 confirms the trend direction * Reduces false signals in volatile markets Technical Details Input Parameters * ATR Period : 10 (default) * Customizable for different market conditions * Affects sensitivity of all Supertrend levels * Factor Settings : * All factors are customizable * Default values based on Fibonacci sequence * Minimum value: 0.01 * Step size: 0.01 Alert System * Built-in alert conditions * Customizable alert messages * Real-time notification support Use Cases * Trend Trading * Identify strong trend directions * Filter out weak signals * Confirm trend continuations * Risk Management * Multiple trend levels for stop-loss placement * Clear entry and exit signals * Trend strength visualization * Market Analysis * Multi-timeframe analysis capability * Trend strength assessment * Market structure identification Benefits * Reliability * Based on proven Supertrend algorithm * Enhanced with Fibonacci mathematics * Multiple confirmation levels * Clarity * Clear visual signals * Easy-to-interpret interface * Reduced noise in signal generation * Flexibility * Customizable parameters * Adaptable to different markets * Suitable for various trading styles Performance Considerations * Optimized code structure * Efficient calculation methods * Minimal resource usage Installation and Usage Setup * Add indicator to chart * Adjust parameters if needed * Enable alerts as required Best Practices * Use with other confirmation tools * Adjust factors based on market volatility * Consider timeframe appropriateness Backtesting Results and Strategy Performance This indicator is specifically designed for pullback trading with optimized risk-reward ratios in trend-following strategies. Below are the detailed backtesting results from our proprietary strategy implementation: BTCUSDT Performance (Binance) * Test Period: Approximately 7 years * Risk-Reward Ratio: 2:1 * Take Profit: 8% * Stop Loss: 4% Key Metrics (BTCUSDT): * Net Profit: +2,579% * Total Trades: 551 * Win Rate: 44.8% * Profit Factor: 1.278 * Maximum Drawdown: 42.86% ETHUSD Performance (Binance) * Risk-Reward Ratio: 4.33:1 * Take Profit: 13% * Stop Loss: 3% Key Metrics (ETHUSD): * Net Profit: +8,563% * Total Trades: 581 * Win Rate: 32% * Profit Factor: 1.32 * Maximum Drawdown: 55% Strategy Highlights: * Optimized for pullback trading in strong trends * Focus on high risk-reward ratios * Proven effectiveness in major cryptocurrency pairs * Consistent performance across different market conditions * Robust profit factor despite moderate win rates Note: These results are from our proprietary strategy implementation and should be used as reference only. Individual results may vary based on market conditions and implementation. Important Considerations: * The strategy demonstrates strong profitability despite lower win rates, emphasizing the importance of proper risk-reward ratios * Higher drawdowns are compensated by significant overall returns * The system shows adaptability across different cryptocurrencies with consistent profit factors * Results suggest optimal performance in volatile crypto markets Real Trading Examples BTCUSDT 4-Hour Chart Analysis Example of pullback strategy implementation on Bitcoin, showing clear trend definition and entry points ETHUSDT 4-Hour Chart Analysis Ethereum chart demonstrating effective signal generation during strong trends BTCUSDT Detailed Signal Example (15-Minute Scalping) Close-up view of signal generation and trend confirmation process on 15-minute timeframe, demonstrating the indicator's effectiveness for scalping operations Chart Analysis Notes: * Green and red zones clearly indicate trend direction * Multiple timeframe confirmation visible through different Supertrend levels * Clear entry signals during pullbacks in established trends * Precise stop-loss placement opportunities below support levels Implementation Guidelines: * Wait for main trend confirmation from Factor 3 (2.618) * Enter trades on pullbacks to Factor 2 (1.618) * Use Factor 1 (0.618) for fine-tuning entry points * Place stops below the relevant Supertrend level Footnotes: * Charts provided are from Binance exchange, using both 4-hour and 15-minute timeframes * Trading view screenshots captured during actual market conditions * Indicators shown: Multi Fibonacci Supertrend with all three factors * Time period: Recent market activity showing various market conditions Important Notice: These charts are for educational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management. Disclaimer This indicator is for informational purposes only. Past performance is not indicative of future results. Always conduct proper risk management and due diligence. License Open source under MIT License Author's Note Contributions and suggestions for improvement are welcome. Please feel free to fork and enhance.
Penunjuk Pine Script®
oleh FibonacciFlux
True Strength Index with Buy/Sell Signals and AlertsThe True Strength Index (TSI) is a momentum oscillator that helps traders identify trends and potential reversal points in the market. Here’s how it works: 1. **Price Change Calculation**: - **`pc = ta.change(price)`**: This calculates the change in price (current price minus the previous price). 2. **Double Smoothing**: - **`double_smooth(src, long, short)`**: This function smooths the price change data twice using two Exponential Moving Averages (EMAs): - The first EMA smooths the raw data. - The second EMA smooths the result of the first EMA. - **`double_smoothed_pc`**: The double-smoothed price change. - **`double_smoothed_abs_pc`**: The double-smoothed absolute price change, which helps normalize the TSI value. 3. **TSI Calculation**: - **`tsi_value = 100 * (double_smoothed_pc / double_smoothed_abs_pc)`**: This calculates the TSI by dividing the double-smoothed price change by the double-smoothed absolute price change, then multiplying by 100 to scale the value. - The TSI oscillates around the zero line, indicating momentum. Positive values suggest bullish momentum, while negative values suggest bearish momentum. 4. **Signal Line**: - **`signal_line = ta.ema(tsi_value, signal)`**: This creates a signal line by applying another EMA to the TSI value. The signal line is typically used to identify entry and exit points. 5. **Buy and Sell Signals**: - **Buy Signal**: Occurs when the TSI crosses above the signal line (`ta.crossover(tsi_value, signal_line)`), indicating that bullish momentum is strengthening, which might suggest a buying opportunity. - **Sell Signal**: Occurs when the TSI crosses below the signal line (`ta.crossunder(tsi_value, signal_line)`), indicating that bearish momentum is strengthening, which might suggest a selling opportunity. 6. **Visual Representation**: - The TSI line and the signal line are plotted on the chart. - Buy signals are marked with green "BUY" labels below the bars, and sell signals are marked with red "SELL" labels above the bars. **How to Use It**: - **Trend Identification**: When the TSI is above zero, it suggests an uptrend; when it's below zero, it suggests a downtrend. - **Buy/Sell Signals**: Traders often enter a buy trade when the TSI crosses above the signal line and enter a sell trade when the TSI crosses below the signal line. - **Divergences**: TSI can also be used to spot divergences between the indicator and price action, which can signal potential reversals. The TSI is particularly useful in identifying the strength of a trend and the potential turning points, making it valuable for trend-following and swing trading strategies.
Penunjuk Pine Script®
oleh LuxmiAI
3
Sniper Signal- Description The Sniper Signal is a sophisticated technical indicator designed for traders seeking to maximize accuracy in identifying key turning points within a market. This indicator is built on a dual approach, combining the power of the Wave Trend Momentum Oscillator (WTMO) with the robustness of a long-term Simple Moving Average (SMA), making it an ideal tool for trading in dynamic and trending market environments. The WTMO is known for its ability to capture momentum and underlying price direction, providing early signals of trend changes. By smoothing price movements using an exponential moving average (EMA), the WTMO accurately identifies when price is overextending in one direction, which may precede a reversal. The 100-period SMA acts as a critical trend filter, ensuring that trades are only made in the direction of the prevailing market flow. This approach ensures that signals generated by the WTMO align with the long-term trend, filtering out false signals that can appear in sideways or low volatility markets. The Sniper Signal is not just an indicator that marks entries and exits; it is a complete strategy in itself, designed for traders who understand the importance of trading in the direction of the prevailing trend. Buy signals are generated only when momentum is at its lowest point (WT1 < -5) and the price is supported by a confirmed uptrend (price above the SMA). Conversely, sell signals are only triggered when momentum is at extremely high levels (WT1 > 5) and the market shows clear signs of weakness (price below the SMA). This combination of momentum and trend analysis creates a balanced approach that allows traders to capture significant moves in the market, while minimizing exposure to unnecessary risk. The Sniper Signal is particularly effective in markets with well-defined trends, where the key to success lies in entering the market at optimal points and exiting before a significant reversal occurs. In summary, the Sniper Signal is an advanced tool designed for serious traders looking to take advantage of the combination of momentum and trend to execute high probability trades in moving markets. - How to use the script? The Sniper Signal indicator code is written in Pine Script, the native programming language of TradingView. To use this indicator, users must copy the code and paste it into the Pine Script editor within the TradingView platform. Once they have done this, they can save and add the script to their chart to begin displaying buy and sell signals directly on their price charts. When using the Sniper Signal, traders should pay attention to the signals represented by the triangles on the chart: an upward-facing blue triangle indicates a possible buying opportunity, while a downward-facing red triangle suggests a possible selling opportunity. It is crucial that users also watch the 100-period Simple Moving Average (SMA), shown as a gray line on the chart, to ensure that trades align with the overall market trend. This helps filter out less reliable signals and improves the accuracy of trading decisions. - Open-source reuse The indicator code is based on common and widely used concepts in technical analysis, such as the Wave Trend Momentum Oscillator (WTMO) and the Simple Moving Average (SMA). These components are not proprietary and are part of the general knowledge in the trading community, which means that many developers can create their own versions based on these same principles.
Penunjuk Pine Script®
oleh bitcoinsentinel
Innocent Heikin Ashi Ethereum StrategyHello there, im back! If you are familiar with my previous scripts, this one will seem like the future's nostalgia! Functionality: As you can see, all candles are randomly colored. This has no deeper meaning, it should remind you to switch to Heikin Ashi. The Strategy works on standard candle stick charts, but should be used with Heikin Ashi to see the actual results. (Regular OHLC calculations are included.) Same as in my previous scripts we import our PVSRA Data from @TradersReality open source Indicator. With this data and the help of moving averages, we have got an edge in the market. Signal Logic: When a "violently green" candle appears (high buy volume + tick speed) above the 50 EMA indicates a change in trend and sudden higher prices. Depending on OHLC of the candle itself and volume, Take Profit and Stop Loss is calculated. (The price margin is the only adjustable setting). Additionally, to make this script as simple and easily useable as possible, all other adjustable variables have been already set to the best suitable value and the chart was kept plain, except for the actual entries and exits. Basic Settings and Adjustables: Main Input 1: TP and SL combined price range. (Double, Triple R:R equally.) Trade Inputs: All standard trade size and contract settings for testing available. Special Settings: Checkbox 1: Calculate Signal in Heikin Ashi chart, including regular candle OHLC („Open, High, Low, Close“) Checkbox 2/3: Calculate by order fill or every tick. Checkbox 4: Possible to fill orders on bar close. Timeframe and practical usage: Made for the 5 Minute to 1 hour timeframe. Literally ONLY works on Ethereum and more or less on Bitcoin. EVERY other asset has absolute 0% profitability. Have fun and share with your friends! Thanks for using! Example Chart:
Strategi Pine Script®
oleh ppx10
long&short signal Smart Money Concepts (SMC) with MACD Signals Smart Money Concepts (SMC) with MACD Signals Advanced SMC and MACD Integration for Precision Trading The "Smart Money Concepts (SMC) with MACD Signals" indicator is a powerful and versatile tool designed to enhance trading strategies by integrating two highly effective technical analysis methods into a single, cohesive indicator. This advanced script combines the Smart Money Concepts (SMC) methodology with the Moving Average Convergence Divergence (MACD) indicator to provide traders with a comprehensive trading solution that identifies key market trends and potential trading opportunities. What It Does: Smart Money Concepts (SMC): The SMC component of this indicator identifies significant price levels and zones where market participants, particularly institutional investors, may be active. It calculates high and low anchor levels based on historical price data, creating zones that help traders understand where price action may encounter support or resistance. These anchor levels are used to plot background colors on the chart, highlighting critical areas of interest where price might react, and generating buy (long) and sell (short) signals based on price interactions with these levels. MACD (Moving Average Convergence Divergence): The MACD component provides insights into market momentum and trend strength. By calculating the difference between two moving averages and comparing it to a signal line, the MACD indicator helps traders identify potential changes in trend direction. The script plots the MACD line, signal line, and histogram, offering a clear visual representation of market momentum. Buy (long) and sell (short) signals are generated when the MACD line crosses above or below the signal line, providing timely alerts to potential trading opportunities. Why It’s Special: This indicator stands out for its dual functionality, combining the price level analysis of SMC with the momentum-based insights of MACD. The integration allows traders to benefit from both trend and price level analysis, offering a more robust and accurate trading tool. The SMC component highlights critical price zones and provides context for price action, while the MACD component confirms the strength and direction of market trends. By using this combined approach, traders can make more informed decisions based on comprehensive market analysis. The indicator not only helps in identifying significant price levels and potential market reversals but also provides real-time signals to capitalize on these opportunities. Whether you are a day trader or a swing trader, the "Smart Money Concepts (SMC) with MACD Signals" indicator is designed to enhance your trading strategy with precision and clarity. This unique combination of SMC and MACD offers a powerful toolset for traders looking to refine their trading strategies and improve their market analysis. With its user-friendly visualizations and signal generation, this indicator is an essential addition to any trader’s toolkit.
Penunjuk Pine Script®
oleh Ahmednesserat
1