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Breakout Josip strategy is focused on analyzing price movements during specific time intervals (from 9:00 AM to 12:00 PM) each day. It tracks the highest and lowest prices in that period and uses them to set targets for potential trades, placing horizontal lines based on these levels. Additionally, you're interested in tracking the success and failure of trades based on whether price breaks certain levels during this time range. The strategy also calculates various metrics like the percentage of successful trades, failed trades, and total trades during a selected time range.
Индикатор Pine Script®
от fluoclipwow
Breakout Candles + RSIHello! This is my firt script :) This indicator looks for candles that are significantly larger than the previous X candle. It is possible to set the following: Multiplier: deviation from the size of the previous X candle (if set to 3 the size of the actual candle's body /abs(open - close)/ must be larger than the size of the bigger candle from the prevous X candles) Previous candles: the number of previous candles to size check Upper RSI limit: if the RSI14 close higher than the specified number, the candle will ignore Lower RSI limit: if the RSI14 close lower than the specified number, the candle will ignore Without dojis: if checked, watches candles only that do not have a bottom spike (bullish) or top spike (bearish). Useful for Heikin-Ashi candles Feel free to left any suggestion! Thank You!
Индикатор Pine Script®
от mildZebra14333
2
Breakout Volume Can Help Confirm Other SignalsVolume can help confirm signals we might discover using other methods of technical analysis. This indicator tracks volume intelligently. Its logic spots above-average turnover and then tests against the price change. BrkVol highlights sessions with heavy volume and directional moves. This can help take out the noise and help confirm the trend. Tesla is a classic example of this, with the stock rallying after showing heavy-volume gains on October 24- 25, December 16 and January 8.
Индикатор Pine Script®
от TradeStation
6
4-Hour Range Scalping [v6.3]User Guide: 4-Hour Range Scalping Strategy Hello! Here is the guide for the Pine Script strategy. Please read it carefully to get the best results. 📈 This script automates the "4-Hour Range Scalping Strategy" from the video. The main idea is that the first four hours of a major trading day (like New York) set up a "trap zone." The strategy waits for the price to break out of this zone and then fail, giving us a signal that the breakout was false and the price is likely to reverse. Here’s the simple logic: Define the Range: It precisely calculates the highest high and lowest low during the first four hours of the selected trading session (e.g., 00:00 to 04:00 New York Time). Wait for a Breakout: It then monitors the 5-minute chart for a price breakout where a candle fully closes outside of this established range. Identify the Reversal: The trade trigger occurs when the price fails to continue its breakout and a subsequent 5-minute candle closes back inside the range. This signals a potential reversal or "failed breakout." Execute the Trade: ]A Short (Sell) trade is triggered after a failed breakout above the range high. A Long (Buy) trade is triggered after a failed breakout below the range low. Manage the Risk: The Stop Loss is automatically placed at the peak (for shorts) or trough (for longs) of the breakout move, and the Take Profit is set to a default 2:1 Risk/Reward Ratio. How to Use the Script (Step-by-Step) ⚙️ Follow these instructions to get it running perfectly. 1. Set Your Chart Timeframe This is the most important step. The strategy is designed to run on a 5-minute (5m) chart. Open your TradingView chart and make sure the timeframe is set to "5m". 2. Add the Script to Your Chart Open the Pine Editor tab at the bottom of TradingView, paste the entire script, and click the "Add to chart" button. 3. Configure the Settings On your chart, find the strategy's name (e.g., "4-Hour Range Scalping ") and click the gear icon ⚙️ to open its settings. Trading Session: Choose the session for the range. New York is the default and the one from the video. Risk/Reward Ratio: The default is 2.0, meaning your potential profit is twice your potential loss. You can adjust this to test other targets. Backtesting Period: To see how the strategy performed on all historical data, go to the "Strategy Tester" panel, click its own gear icon ⚙️, and uncheck the boxes for "Start Date" and "End Date." 4. Understand the Visuals on Your Chart Blue Background Area: This is the 4-hour calculation window. The script is identifying the day's high and low during this time. No trades will ever happen here. Red Line (Range High): The highest price of the 4-hour window. This is the upper boundary of the "trap zone." Green Line (Range Low): The lowest price of the 4-hour window. This is the lower boundary. Green Triangle (▲): Shows where a Long (Buy) trade was entered. Red Triangle (▼): Shows where a Short (Sell) trade was entered. A Very Important Note on Timezones 🕒 This is critical for you in the Philippines (PHT). The script is based on the New York session, which is 12 hours behind you. Your TradingView chart will still show your local time, but the script works on NY time in the background. The New York "day" begins at 12:00 PM (Noon) your time. The script's blue calculation window will be from 12:00 PM to 4:00 PM your local time. The red and green range lines will appear on your chart only after 4:00 PM your time. So, if you look at your chart in the morning or early afternoon, you will not see today's range yet. This is normal! The script is just waiting for the New York session to start. How to Set Up Trade Alerts 🔔 You can have TradingView send you a notification whenever the script enters a trade. Click the "Alert" button (looks like a clock) in the right-hand toolbar of TradingView. In the "Condition" dropdown, select the name of the script (e.g., "4-Hour Range Scalping..."). You will then see two options: "Long Signal" and "Short Signal". Select one (e.g., "Long Signal") and configure how you want to be notified (e.g., "Notify on app"). Click "Create". Repeat the process to create an alert for the other signal. ⚠️ Important Disclosure For Educational and Research Purposes Only. This script and all accompanying information are provided for educational and research purposes only. The strategy demonstrated is a technical concept and should not be misconstrued as financial, investment, legal, or tax advice. Trading financial markets involves substantial risk and is not suitable for every investor. There is a possibility that you could sustain a loss of some or all of your initial investment. Therefore, you should not invest money that you cannot afford to lose. Past performance is not indicative of future results. The backtesting results shown by this script are historical and do not guarantee future performance. Market conditions are constantly changing. By using this script, you acknowledge that you are solely responsible for any and all trading decisions you make. You should conduct your own thorough research and, if necessary, seek advice from an independent financial advisor before making any investment decisions. The creators of this script assume no liability for any of your trading results.
Стратегия Pine Script®
от edisonquinones
Pivot Regime Anchored VWAP [CHE] Pivot Regime Anchored VWAP — Detects body-based pivot regimes to classify swing highs and lows, anchoring volume-weighted average price lines directly at higher highs and lower lows for adaptive reference levels. Summary This indicator identifies shifts between top and bottom regimes through breakouts in candle body highs and lows, labeling swing points as higher highs, lower highs, lower lows, or higher lows. It then draws anchored volume-weighted average price lines starting from the most recent higher high and lower low, providing dynamic support and resistance that evolve with volume flow. These anchored lines differ from standard volume-weighted averages by resetting only at confirmed swing extremes, reducing noise in ranging markets while highlighting momentum shifts in trends. Motivation: Why this design? Traders often struggle with static reference lines that fail to adapt to changing market structures, leading to false breaks in volatile conditions or missed continuations in trends. By anchoring volume-weighted average price calculations to body pivot regimes—specifically at higher highs for resistance and lower lows for support—this design creates reference levels tied directly to price structure extremes. This approach addresses the problem of generic moving averages lagging behind swing confirmations, offering a more context-aware tool for intraday or swing trading. What’s different vs. standard approaches? - Baseline reference: Traditional volume-weighted average price indicators compute a running total from session start or fixed periods, often ignoring price structure. - Architecture differences: - Regime detection via body breakout logic switches between high and low focus dynamically. - Anchoring limited to confirmed higher highs and lower lows, with historical recalculation for accurate line drawing. - Polyline rendering rebuilds only on the last bar to manage performance. - Practical effect: Charts show fewer, more meaningful lines that start at swing points, making it easier to spot confluences with structure breaks rather than cluttered overlays from continuous calculations. How it works (technical) The indicator first calculates the maximum and minimum of each candle's open and close to define body highs and lows. It then scans a lookback window for the highest body high and lowest body low. A top regime triggers when the body high from the lookback period exceeds the window's highest, and a bottom regime when the body low falls below the window's lowest. These regime shifts confirm pivots only when crossing from one state to the other. For top pivots, it compares the new body high against the previous swing high: if greater, it marks a higher high and anchors a new line; otherwise, a lower high. The same logic applies inversely for bottom pivots. Anchored lines use cumulative price-volume products and volumes from the anchor bar onward, subtracting prior cumulatives to isolate the segment. On pivot confirmation, it loops backward from the current bar to the anchor, computing and storing points for the line. New points append as bars advance, ensuring the line reflects ongoing volume weighting. Initialization uses persistent variables to track the last swing values and anchor bars, starting with neutral states. Data flows from regime detection to pivot classification, then to anchoring and point accumulation, with lines rendered globally on the final bar. Parameter Guide Pivot Length — Controls the lookback window for detecting body breakouts, influencing pivot frequency and sensitivity to recent action. Shorter values catch more pivots in choppy conditions; longer smooths for major swings. Default: 30 (bars). Trade-offs/Tips: Min 1; for intraday, try 10–20 to reduce lag but watch for noise; on daily, 50+ for stability. Show Pivot Labels — Toggles display of text markers at swing points, aiding quick identification of higher highs, lower highs, lower lows, or higher lows. Default: true. Trade-offs/Tips: Disable in multi-indicator setups to declutter; useful for backtesting structure. HH Color — Sets the line and label color for higher high anchored lines, distinguishing resistance levels. Default: Red (solid). Trade-offs/Tips: Choose contrasting hues for dark/light themes; pair with opacity for fills if added later. LL Color — Sets the line and label color for lower low anchored lines, distinguishing support levels. Default: Lime (solid). Trade-offs/Tips: As above; green shades work well for bullish contexts without overpowering candles. Reading & Interpretation Higher high labels and red lines indicate potential resistance zones where volume weighting begins at a new swing top, suggesting sellers may defend prior highs. Lower low labels and lime lines mark support from a fresh swing bottom, with the line's slope reflecting buyer commitment via volume. Lower highs or higher lows appear as labels without new anchors, signaling possible range-bound action. Line proximity to price shows overextension; crosses may hint at regime shifts, but confirm with volume spikes. Practical Workflows & Combinations - Trend following: Enter longs above a rising lower low anchored line after higher low confirmation; filter with rising higher highs for uptrends. Use line breaks as trailing stops. - Exits/Stops: In downtrends, exit shorts below a higher high line; set aggressive stops above it for scalps, conservative below for swings. Pair with momentum oscillators for divergence. - Multi-asset/Multi-TF: Defaults suit forex/stocks on 1H–4H; on crypto 15M, shorten length to 15. Scale colors for dark themes; combine with higher timeframe anchors for confluence. Behavior, Constraints & Performance Closed-bar logic ensures pivots confirm after the lookback period, with no repainting on historical bars—live bars may adjust until regime shift. No higher timeframe calls, so minimal repaint risk beyond standard delays. Resources include a 2000-bar history limit, label/polyline caps at 200/50, and loops for historical point filling (up to current bar count from anchor, typically under 500 iterations). Known limits: In extreme gaps or low-volume periods, anchors may skew; lines absent until first pivots. Sensible Defaults & Quick Tuning Start with the 30-bar length for balanced pivot detection across most assets. For too-frequent pivots in ranges, increase to 50 for fewer signals. If lines lag in trends, reduce to 20 and enable labels for visual cues. In low-volatility assets, widen color contrasts; test on 100-bar history to verify stability. What this indicator is—and isn’t This is a structure-aware visualization layer for anchoring volume-weighted references at swing extremes, enhancing manual analysis of regimes and levels. It is not a standalone signal generator or predictive model—always integrate with broader context like order flow or news. Use alongside risk management and position sizing, not as isolated buy/sell triggers. Many thanks to LuxAlgo for the original script "McDonald's Pattern ". The implementation for body pivots instead of wicks uses a = max(open, close), b = min(open, close) and then highest(a, length) / lowest(b, length). This filters noise from the wicks and detects breakouts over/under bodies. Unusual and targeted, super innovative. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Индикатор Pine Script®
от chervolino
RSI Colored by Relative StrengthThis indicator enhances the traditional RSI by combining it with Relative Strength (RS) — the ratio of an asset’s price to a chosen benchmark (e.g., SPY, QQQ, BTCUSD) — to create a more accurate, powerful, and dynamic momentum confirmation tool. Instead of relying solely on RSI’s internal momentum, this version color-codes RSI values and backgrounds based on whether the asset is outperforming, underperforming, or neutral relative to the benchmark, not only identifying the RSI value, but color codes it in relation to the overall market to give more accurate confirmations. • RS > 1 → The asset is outperforming the benchmark (relative strength). • RS < 1 → The asset is underperforming. • RS ≈ 1 → Neutral or moving in sync with the benchmark. Gradient background zones: • Green tones = outperformance (RS > 1). • Red tones = underperformance (RS < 1). • Gray neutral band = parity (RS ≈ 1). Intensity adjusts dynamically based on how far RS deviates from 1, giving an at-a-glance view of market leadership strength. • Color-coded RSI line: Green when RS > 1, red when RS < 1. • Optional markers and labels show confirmed RS+RSI crossovers with smart spacing to prevent clutter. • Alerts included for bullish and bearish RS+RSI alignment events. How to Use 1. Add your preferred benchmark symbol (default: SPY). 2. Move this indicator into the same pane as your RSI (No need to overlay, does so automatically) and can also be used standalone. 3. Watch for: • Green RSI & background: Significant momentum strength (asset trending upward and outpacing the market). • Red RSI & background: False or insignificant momentum (asset lagging). • Gray zone: neutral phase — consolidation or rotation period. Use this as a trend-confirmation filter rather than a signal generator. For example: • Confirm and refine breakout entries when RS > 1 (RSI support = stronger conviction). • Take profits when RSI weakens and RS slips below 1.
Индикатор Pine Script®
от TylerisTrading
Custom Net ATR Mapping - NateThis indicator measures how much an asset actually moves — both on average and across full periods — so traders can compare short-term volatility with longer-term net momentum. It displays four key metrics in a simple color-coded table: Standard ATR – the average daily (or per-bar) range, showing typical volatility. Net ATR – the average open-to-close move, revealing how much price tends to travel directionally within each bar. Total Net Move – the total distance price has moved from the start to the end of the most recent measurement window. Average Net Move – the typical size of that full-period move, averaged across multiple recent windows. Together these readings help you see whether recent price action is choppy but contained (high ATR, low net move) or sustained and directional (high net move relative to ATR) — useful for spotting trend strength, breakout potential, or range-bound conditions.
Индикатор Pine Script®
от ProsperityPub
CYCLE BY RiotWolftradingDescription of the "CYCLE" Indicator The "CYCLE" indicator is a custom Pine Script v5 script for TradingView that visualizes cyclic patterns in price action, dividing the trading day into specific sessions and 90-minute quarters (Q1-Q4). It is designed to identify and display market phases (Accumulation, Manipulation, Distribution, and Continuation/Reversal) along with key support and resistance levels within those sessions. Additionally, it allows customization of boxes, lines, labels, and colors to suit user preferences. Main Features Cycle Phases: Accumulation (1900-0100): Represents the phase where large operators accumulate positions. Manipulation (0100-0700): Identifies potential manipulative moves to mislead retail traders. Distribution (0700-1300): The phase where large operators distribute their positions. Continuation/Reversal (1300-1900): Indicates whether the price continues the trend or reverses. 90-Minute Quarters (Q1-Q4): Divides each 6-hour cycle (360 minutes) into four 90-minute quarters (Q1: 00:00-01:30, Q2: 01:30-03:00, Q3: 03:00-04:30, Q4: 04:30-06:00 UTC). Each quarter is displayed with a colored box (Q1: light purple, Q2: light blue, Q3: light gray, Q4: light pink) and labels (defaulted to black). Support and Resistance Visualization: Draws boxes or lines (based on settings) showing the high and low levels of each session. Optionally displays accumulated volume at the highs and lows within the boxes. Daily Lines and Last 3 Boxes: How to Use the Indicator Step 1: Add the Indicator to TradingView Open TradingView and select the chart where you want to apply the indicator (e.g., UMG9OOR on a 5-minute timeframe, as shown in the screenshot). Go to the Pine Editor (at the bottom of the TradingView interface). Copy and paste the provided code. Click Compile and then Add to Chart. Step 2: Configure the Indicator Click on the indicator name on the chart ("CYCLE") and select Settings (or double-click the name). Adjust the options based on your needs: Cycle Phases: Enable/disable phases (Accumulation, Manipulation, Distribution, Continuation/Reversal) and adjust their time slots if needed. 90-Minute Quarters: Enable/disable quarters (Q1-Q4). Step 3: Interpret the Indicator Identify Cycle Phases: Observe the red boxes indicating the phases (Accumulation, Manipulation, etc.). The high and low levels within each phase are potential support/resistance zones. If volume is enabled, pay attention to the accumulated volume at highs and lows, as it may indicate the strength of those levels. Use the 90-Minute Quarters (Q1-Q4): The colored boxes (Q1-Q4) divide the day into 90-minute segments. Each quarter shows the price range (high and low) during that period. Use these boxes to identify price patterns within each quarter, such as breakouts or consolidations. The labels (Q1, Q2, etc.) help you track time and anticipate potential moves in the next quarter. Analyze Support and Resistance: The high and low levels of each phase/quarter act as support and resistance. Daily lines (if enabled) show key levels from the previous day, useful for planning entries/exits. The "last 3 boxes below price" (if enabled) highlight potential support levels the price might target. Avoid Manipulation: During the Manipulation phase (0100-0700), be cautious of sharp moves or false breakouts. Use the high/low levels of this phase to identify potential traps (as explained in your first question about manipulation candles). Step 4: Trading Strategy Entries and Exits: Support/Resistance: Use the high/low levels of phases and quarters to set entry or exit points. For example, if the price bounces off a Q1 support level, consider a buy. Breakouts: If the price breaks a high/low of a quarter (e.g., Q2), wait for confirmation to enter in the direction of the breakout. Volume: If accumulated volume is high near a key level, that level may be more significant. Risk Management: Place stop-loss orders below lows (for buys) or above highs (for sells) identified by the indicator. Avoid trading during the Manipulation phase unless you have a specific strategy to handle false breakouts. Time Context: Use the quarters (Q1-Q4) to plan your trades based on time. For example, if Q3 is typically volatile in your market, prepare for larger moves between 03:00-04:30 UTC. Step 5: Adjustments and Testing Test on Different Timeframes: The indicator is set for a 5-minute timeframe (as in the screenshot), but you can test it on other timeframes (e.g., 1-minute, 15-minute) by adjusting the time slots if needed. Adjust Colors and Styles: If the default colors are not visible on your chart, change them for better clarity. --- 📌 1. **Accumulation: Strong Institutional Activity** - During the **accumulation phase, we see **high volume: 82.773K, which suggests strong buying interest**, likely from institutional players. - This sets the base for the following upward move in price. --- 📌 2. **Manipulation: False Breakout with Lower Volume** - Later, there's a manipulation phase where price breaks above previous highs, but the volume (71.814K) is **lower than during accumulation**. - This implies that buyers are not as aggressive as before—no real demandbehind the breakout. - It’s likely a bull trap, where smart money is selling into the breakout to exit their positions. --- ### 📌 3. Distribution: Weakness and Lack of Demand - The market enters a distribution phase, and volume drops even further (only 7.914K). - Price struggles to go higher, and you start seeing rejections at the top. - This shows that demand is drying up, and smart money is offloading positions**—not accumulating anymore. --- ### 💡 Why Take the Short Here? - Volume is not increasing with new highs—showing weak demand**. - The manipulation volume is weaker than the accumulation volume, confirming the breakout was likely false. - Structure starts to break down (Q levels falling), which confirms weakness. - This creates a high-probability short setup: - **Entry:** after confirmation of distribution and structural breakdown. - **Stop loss:** above the manipulation high. - **Target:** down toward previous lows or value zones. --- ### ✅ Conclusion Since the manipulation volume failed to exceed the accumulation volume, the breakout lacked real strength. Combined with decreasing volume in the distribution phase, this indicates fading demand and supply taking control—which justifies entering a short position.
Индикатор Pine Script®
от anarkiacapital
1
Tomorrow Floor Pivots with CPR By Nifty ZThe colors for resistance and support levels have been updated to gradient reds and greens for clearer distinction. The CPR band uses light blue and purple to stand out more effectively. Here's a detailed explanation of the user inputs and the typical use of **Floor Pivots for Tomorrow’s Market Range** in a trading context, focusing on support, resistance, and breakout scenarios: The script allows traders to customize key parameters for their analysis: 1. Pivot Timeframe: - Users can select different timeframes for calculating floor pivots, such as 1 hour, 4 hours, daily, weekly, monthly, etc. - This is crucial because the timeframe selection influences the granularity of the support and resistance levels for the next trading day. - For instance, selecting a **Daily** timeframe will calculate floor pivots for the next trading day, while selecting **Weekly** will give levels for the upcoming week. 2. Show Floor Pivots: - Users can toggle the visibility of the calculated **Floor Pivots**, which include resistance levels (R1, R2, R3, R4) and support levels (S1, S2, S3, S4). 3. Show CPR (Central Pivot Range): - CPR (Central Pivot Range) is a key area where the price tends to consolidate. - The script allows users to enable or disable the visibility of CPR, which consists of the BC (Bottom Central Pivot) and TC (Top Central Pivot). 4. Show Labels: - Users can choose whether or not to display labels indicating the **Pivot**, **Support**, and Resistance levels on the chart. This can be helpful for visual analysis when day trading. Understanding Floor Pivots The Floor Pivots (Pivot, Resistance, and Support levels) for tomorrow's market range are calculated based on today’s high, low, and close. These levels help traders anticipate how the market may behave in the upcoming session. 1. Pivot: - The Pivot Point is a central level, calculated as the average of the high, low, and close. It’s considered a reference point that determines the market’s overall bias. - If the price is trading **above the pivot**, it generally suggests a **bullish** sentiment for the day. - If the price is trading **below the pivot**, it suggests a **bearish** sentiment. 2. Resistance Levels (R1, R2, R3, R4): - R1 is often the first area where price may stall in an uptrend. It represents the first major resistance level. - **R2**, **R3**, and **R4** mark additional levels of resistance, progressively further away from the current price. These are used to project potential upward targets. - These resistance levels are areas where the price might encounter selling pressure, especially during day trading. 3. **Support Levels (S1, S2, S3, S4):** - Similarly, **S1** is the first area where the price might find support in a downtrend. - **S2**, **S3**, and **S4** provide deeper support levels where the price may bounce from. - These support zones are used by day traders to anticipate where the price might reverse upward. ### **Role of Resistance and Support in Day Trading** - **Resistance Levels (R1, R2, R3, R4)** indicate potential areas where price could **stall** during an uptrend. These levels are useful for **short-term traders** looking to set exit points or identify reversal zones. - **Support Levels (S1, S2, S3, S4)** highlight areas where the price could **find support** and potentially **bounce** higher. These levels are particularly helpful for identifying buy zones in a downtrend. - If a price **breaks out** above the resistance levels or **breaks down** below the support levels, it often signals a strong trend continuation. ### **Understanding the Central Pivot Range (CPR)** The **CPR** is formed by two key levels: - **BC (Bottom Central Pivot):** The midpoint of the day’s high and low. - **TC (Top Central Pivot):** The difference between the pivot and BC. The CPR acts as a region of **consolidation** or **indecision** where the market is likely to stay within a narrow range. The width of the CPR gives traders a sense of volatility: - A **narrow CPR** often signals that a **breakout** is imminent. - A **wider CPR** suggests that the market could remain range-bound. ### **Market Sentiment Based on Floor Pivots** The relationship between **today’s** and **tomorrow’s pivots** is crucial in determining the market sentiment for the next day. 1. **Bullish Case (Higher Highs):** - If **tomorrow's pivot** is higher than **today's pivot**, it indicates a **bullish sentiment**. This suggests that the market is likely to trend upward in the next session. - In a **bullish overlapping pivot range**, if **Day 1 (today)** is higher than **Day 2 (tomorrow)**, traders expect continued upward momentum. 2. **Bearish Case (Lower Lows):** - Conversely, if **tomorrow's pivot** is lower than **today's pivot**, it suggests a **bearish sentiment** and that the market could trend downward in the next session. - In a **bearish overlapping pivot range**, if **Day 1 (today)** is lower than **Day 2 (tomorrow)**, traders expect continued downward pressure. ### **Breakout Scenarios** A breakout occurs when the price **violates either the support or resistance levels** significantly, indicating that the price is moving in the direction of the breakout. 1. **Bullish Breakout:** - If the price consistently stays **above the CPR** and **resistance levels (R1, R2)**, it indicates a strong **bullish breakout**. - This is especially true when the **CPR is narrow** for both days, signaling a buildup in price action and a potential breakout to the upside. 2. **Bearish Breakout:** - If the price breaks **below the CPR** and **support levels (S1, S2)**, it indicates a **bearish breakout**. - A narrow CPR on **both days** suggests that a breakout to the downside could be imminent. 3. **Neutral or Ranging Days:** - Sometimes, the CPR stays **unchanged** for 4-5 days, indicating a period of **consolidation** where the price is moving within a tight range. This often leads to a significant breakout once the consolidation ends. Strategic Application of Floor Pivots for Tomorrow Traders use floor pivots to plan their next-day trades by: - **Aligning with Market Sentiment:** Based on whether tomorrow’s pivot is higher or lower than today’s, traders can align their trades in the direction of the market’s overall bias. - **Identifying Entry and Exit Points:** Resistance and support levels provide well-defined areas to enter or exit trades, making pivots essential for day trading strategies. - **Anticipating Breakouts:** Monitoring the width of the CPR and the relation between pivots helps traders anticipate potential breakouts, allowing them to react quickly to sudden price movements. By effectively using these pivots and understanding their significance, traders can improve their decision-making for short-term trades in the stock or futures markets.
Индикатор Pine Script®
от niftyZ
Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte
Индикатор Pine Script®
от BullByte
3
RY-Parabolic Stop and ReverseParabolic Stop and Reverse with Support Resistance (PSAR-SR) Identify dynamic support and resistance levels based on price movements. Reduce false signals often generated by the regular PSAR. Provide more accurate trading decisions by considering previous reversal points as support and resistance. How Does PSAR-SR Work? PSAR Reversal Points: When the regular PSAR generates a reversal signal, the price at that reversal point is used as support (in an uptrend) or resistance (in a downtrend). Support and Resistance Lines: Support: A line drawn from the previous PSAR reversal point in an uptrend. Resistance: A line drawn from the previous PSAR reversal point in a downtrend. Price often moves sideways between these support and resistance levels before a breakout occurs. Breakout Above/Below Support and Resistance: A Buy signal is generated when the price breaks above resistance with a new candle closing above it. A Sell signal is generated when the price breaks below support with a new candle closing below it. Strategy Using PSAR-SR Wait for the Breakout: Avoid buying or selling immediately when the PSAR gives a signal. Confirm that the price breaks past the support or resistance levels and forms a new candle outside those lines. Use Alongside Other Indicators: PSAR-SR is not recommended as a standalone tool. Use additional confirmation indicators such as: Moving Average: To identify long-term trends. RSI or MACD: To confirm momentum or overbought/oversold conditions. Advantages of PSAR-SR Reduces False Signals: By focusing on previous support and resistance levels, PSAR-SR avoids invalid signals. Helps Identify Breakouts: It provides better insight for traders to enter the market during valid breakouts. Limitations of PSAR-SR Not Suitable for Sideways Markets: If the price moves sideways for an extended period, the signals may become less effective. Requires Additional Confirmation: Should be used in combination with other indicators to improve accuracy. Conclusion PSAR-SR is a helpful tool for identifying dynamic support and resistance levels and generating buy/sell signals based on price breakouts. However, it should always be used with additional indicators for confirmation to avoid false trades. Disclaimer: Use this indicator at your own risk, and always perform additional analysis before making any trading decisions. If you'd like further clarification or examples of how to apply this to a chart, feel free to ask! 😊
Индикатор Pine Script®
от rredoyoseff
EAOBS by MIGVersion 1 1. Strategy Overview Objective: Capitalize on breakout movements in Ethereum (ETH) price after the Asian open pre-market session (7:00 PM–7:59 PM EST) by identifying high and low prices during the session and trading breakouts above the high or below the low. Timeframe: Any (script is timeframe-agnostic, but align with session timing). Session: Pre-market session (7:00 PM–7:59 PM EST, adjustable for other time zones, e.g., 12:00 AM–12:59 AM GMT). Risk-Reward Ratios (R:R): Targets range from 1.2:1 to 5.2:1, with a fixed stop loss. Instrument: Ethereum (ETH/USD or ETH-based pairs). 2. Market Setup Session Monitoring: Monitor ETH price action during the pre-market session (7:00 PM–7:59 PM EST), which aligns with the Asian market open (e.g., 9:00 AM–9:59 AM JST). The script tracks the highest high and lowest low during this session. Breakout Triggers: Buy Signal: Price breaks above the session’s high after the session ends (7:59 PM EST). Sell Signal: Price breaks below the session’s low after the session ends. Visualization: The session is highlighted on the chart with a white background. Horizontal lines are drawn at the session’s high and low, extended for 30 bars, along with take-profit (TP) and stop-loss (SL) levels. 3. Entry Rules Long (Buy) Entry: Enter a long position when the price breaks above the session’s high price after 7:59 PM EST. Entry price: Just above the session high (e.g., add a small buffer, like 0.1–0.5%, to avoid false breakouts, depending on volatility). Short (Sell) Entry: Enter a short position when the price breaks below the session’s low price after 7:59 PM EST. Entry price: Just below the session low (e.g., subtract a small buffer, like 0.1–0.5%). Confirmation: Use a candlestick close above/below the breakout level to confirm the entry. Optionally, add volume confirmation or a momentum indicator (e.g., RSI or MACD) to filter out weak breakouts. Position Size: Calculate position size based on risk tolerance (e.g., 1–2% of account per trade). Risk is determined by the stop-loss distance (10 points, as defined in the script). 4. Exit Rules Take-Profit Levels (in points, based on script inputs):TP1: 12 points (1.2:1 R:R). TP2: 22 points (2.2:1 R:R). TP3: 32 points (3.2:1 R:R). TP4: 42 points (4.2:1 R:R). TP5: 52 points (5.2:1 R:R). Example for Long: If session high is 3000, TP levels are 3012, 3022, 3032, 3042, 3052. Example for Short: If session low is 2950, TP levels are 2938, 2928, 2918, 2908, 2898. Strategy: Scale out of the position (e.g., close 20% at TP1, 20% at TP2, etc.) or take full profit at a preferred TP level based on market conditions. Stop-Loss: Fixed at 10 points from the entry. Long SL: Session high - 10 points (e.g., entry at 3000, SL at 2990). Short SL: Session low + 10 points (e.g., entry at 2950, SL at 2960). Trailing Stop (Optional):After reaching TP2 or TP3, consider trailing the stop to lock in profits (e.g., trail by 10–15 points below the current price). 5. Risk Management per Trade: Limit risk to 1–2% of your trading account per trade. Calculate position size: Account Size × Risk % ÷ (Stop-Loss Distance × ETH Price per Point). Example: $10,000 account, 1% risk = $100. If SL = 10 points and 1 point = $1, position size = $100 ÷ 10 = 0.1 ETH. Daily Risk Limit: Cap daily losses at 3–5% of the account to avoid overtrading. Maximum Exposure: Avoid taking both long and short positions simultaneously unless using separate accounts or strategies. Volatility Consideration: Adjust position size during high-volatility periods (e.g., major news events like Ethereum upgrades or macroeconomic announcements). 6. Trade Management Monitoring :Watch for breakouts after 7:59 PM EST. Monitor price action near TP and SL levels using alerts or manual checks. Trade Duration: Breakout lines extend for 30 bars (script parameter). Close trades if no TP or SL is hit within this period, or reassess based on market conditions. Adjustments: If the market shows strong momentum, consider holding beyond TP5 with a trailing stop. If the breakout fails (e.g., price reverses before TP1), exit early to minimize losses. 7. Additional Considerations Market Conditions: The 7:00 PM–7:59 PM EST session aligns with the Asian market open (e.g., Tokyo Stock Exchange open at 9:00 AM JST), which may introduce higher volatility due to Asian trading activity. Avoid trading during low-liquidity periods or extreme volatility (e.g., major crypto news). Check for upcoming events (e.g., Ethereum network upgrades, ETF decisions) that could impact price. Backtesting: Test the strategy on historical ETH data using the session high/low breakouts for the 7:00 PM–7:59 PM EST window to validate performance. Adjust TP/SL levels based on backtest results if needed. Broker and Fees: Use a low-fee crypto exchange (e.g., Binance, Kraken, Coinbase Pro) to maximize R:R. Account for trading fees and slippage in your position sizing. Time zone Adjustment: Adjust session time input for your time zone (e.g., "0000-0059" for GMT). Ensure your trading platform’s clock aligns with the script’s time zone (default: America/New_York). 8. Example Trade Scenario: Session (7:00 PM–7:59 PM EST) records a high of 3050 and a low of 3000. Long Trade: Entry: Price breaks above 3050 (e.g., enter at 3051). TP Levels: 3063 (TP1), 3073 (TP2), 3083 (TP3), 3093 (TP4), 3103 (TP5). SL: 3040 (3050 - 10). Position Size: For a $10,000 account, 1% risk = $100. SL = 11 points ($11). Size = $100 ÷ 11 = ~0.09 ETH. Short Trade: Entry: Price breaks below 3000 (e.g., enter at 2999). TP Levels: 2987 (TP1), 2977 (TP2), 2967 (TP3), 2957 (TP4), 2947 (TP5). SL: 3010 (3000 + 10). Position Size: Same as above, ~0.09 ETH. Execution: Set alerts for breakouts, enter with limit orders, and monitor TPs/SL. 9. Tools and Setup Platform: Use TradingView to implement the Pine Script and visualize breakout levels. Alerts: Set price alerts for breakouts above the session high or below the session low after 7:59 PM EST. Set alerts for TP and SL levels. Chart Settings: Use a 1-minute or 5-minute chart for precise session tracking. Overlay the script to see high/low lines, TP levels, and SL levels. Optional Indicators: Add RSI (e.g., avoid overbought/oversold breakouts) or volume to confirm breakouts. 10. Risk Warnings Crypto Volatility: ETH is highly volatile; unexpected news can cause rapid price swings. False Breakouts: Breakouts may fail, especially in low-volume sessions. Use confirmation signals. Leverage: Avoid high leverage (e.g., >5x) to prevent liquidation during volatile moves. Session Accuracy: Ensure correct session timing for your time zone to avoid misaligned entries. 11. Performance Tracking Journaling :Record each trade’s entry, exit, R:R, and outcome. Note market conditions (e.g., trending, ranging, news-driven). Review: Weekly: Assess win rate, average R:R, and adherence to the plan. Monthly: Adjust TP/SL or session timing based on performance.
Индикатор Pine Script®
от levijames7