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ค้นหาในสคริปต์สำหรับ "reversal"

1-2-3 Reversal Strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
อินดิเคเตอร์ Pine Script®
โดย HPotter
Reversal WaveThis is the type of quantitative system that can get you hated on investment forums, now that the Random Walk Theory is back in fashion. The strategy has simple price action rules, zero over-optimization, and is validated by a historical record of nearly a century on both Gold and the S&P 500 index. Recommended Markets SPX (Weekly, Monthly) SPY (Monthly) Tesla (Weekly) XAUUSD (Weekly, Monthly) NVDA (Weekly, Monthly) Meta (Weekly, Monthly) GOOG (Weekly, Monthly) MSFT (Weekly, Monthly) AAPL (Weekly, Monthly) System Rules and Parameters Total capital: $10,000 We will use 10% of the total capital per trade Commissions will be 0.1% per trade Condition 1: Previous Bearish Candle (isPrevBearish) (the closing price was lower than the opening price). Condition 2: Midpoint of the Body The script calculates the exact midpoint of the body of that previous bearish candle. • Formula: (Previous Open + Previous Close) / 2. Condition 3: 50% Recovery (longCondition) The current candle must be bullish (green) and, most importantly, its closing price must be above the midpoint calculated in the previous step. Once these parameters are met, the system executes a long entry and calculates the exit parameters: Stop Loss (SL): Placed at the low of the candle that generated the entry signal. Take Profit (TP): Calculated by projecting the risk distance upward. • Calculation: Entry Price + (Risk * 1). Risk:Reward Ratio of 1:1. About the Profit Factor In my experience, TradingView calculates profits and losses based on the percentage of movement, which can cause returns to not match expectations. This doesn’t significantly affect trending systems, but it can impact systems with a high win rate and a well-defined risk-reward ratio. It only takes one large entry candle that triggers the SL to translate into a major drop in performance. For example, you might see a system with a 60% win rate and a 1:1 risk-reward ratio generating losses, even though commissions are under control relative to the number of trades. My recommendation is to manually calculate the performance of systems with a well-defined risk-reward ratio, assuming you will trade using a fixed amount per trade and limit losses to a fixed percentage. Remember that, even if candles are larger or smaller in size, we can maintain a fixed loss percentage by using leverage (in cases of low volatility) or reducing the capital at risk (when volatility is high). Implementing leverage or capital reduction based on volatility is something I haven’t been able to incorporate into the code, but it would undoubtedly improve the system’s performance dramatically, as it would fix a consistent loss percentage per trade, preventing losses from fluctuating with volatility swings. For example, we can maintain a fixed loss percentage when volatility is low by using the following formula: Leverage = % of SL you’re willing to risk / % volatility from entry point to exit or SL And if volatility is high and exceeds the fixed percentage we want to expose per trade (if SL is hit), we could reduce the position size. For example, imagine we only want to risk 15% per SL on Tesla, where volatility is high and would cause a 23.57% loss. In this case, we subtract 23.57% from 15% (the loss percentage we’re willing to accept per trade), then subtract the result from our usual position size. 23.57% - 15% = 8.57% Suppose I use $200 per trade. To calculate 8.57% of $200, simply multiply 200 by 8.57/100. This simple calculation shows that 8.57% equals about $17.14 of the $200. Then subtract that value from $200: $200 - $17.14 = $182.86 In summary, if we reduced the position size to $182.86 (from the usual $200, where we’re willing to lose 15%), no matter whether Tesla moves up or down 23.57%, we would still only gain or lose 15% of the $200, thus respecting our risk management. Final Notes The code is extremely simple, and every step of its development is detailed within it. If you liked this strategy, which complements very well with others I’ve already published, stay tuned. Best regards.
กลยุทธ์ Pine Script®
โดย OldWave96
2
Reversal off EMA-XsEMA-Xs works mostly on Forex due to the small prices and price fluctuations. It does work on Gold, oddly enough, and some others like UKX 100...but mostly on forex. It doesn't work as well on JPY pairs but occasionally does; the JPY pairs give less signals, but when a JPY pair gives a signal, its a high probability setup. Another script EMA-XL works better on the higher priced instruments like S&P, DJI, OIL, BTC etc. This script will show 3 moving averages: 13, 34, 200 and works on the 5m, 1hr, 4hr, daily charts. Signals "B" or "S" will be on the chart above or below the candles respectively. When to open: The script gives buy and sell signals based on a counter-trend move away from the MA's. When the price rises a specific percent above/below the EMA, it'll give a signal. It's best to take a trade when it gives a cluster of consecutive signals near the same price. If using on the 5m, definitely wait for consecutive signals. Also, use this in conjunction with support and resistance areas. Using with fibs for confirmation really makes this a good tool with high probability: IE, when price hits a fib and the script gives a signal, its a high probability setup. When to close: 1. After a fast move up/down you may use this to counter trade a scalp 10+ pips, but you need to be quick; applies mostly to the 5m chart. 2. If you have the tenacity wait until you see an opposite signal. With this method you may be holding a loosing trade for a while. But what I've noticed is if it trends against you, price usually with come near to the first time it signaled. You may want to stack trades on each cluster of signals. IE first trade is 1000 units, next is 2000 units, etc... then close when prices comes near the first time it signaled. By this time, if you held, you should have profit. This strategy will really test your mental resilience. 3. Wait until it comes back to one of the trendlines; remember this is a counter trend signal so price is moving away from the MA and it always returns to touch one of the MA's...LOL eventually 4. Applying to scalping on the 5m, keep the stops tight because if the instrument trends hard and fast, you'll be upside-down quickly. If you put a lot of time into using this signal generator, you can really make good profit. But with all tools, you need to master it. There are nuances to the simple logic of this script that can be both fun and frustrating. With all endeavors, if you put the time into it, you will reap the rewards. Good luck and let me know if you have any questions/comments.
อินดิเคเตอร์ Pine Script®
โดย shamgar331
FVG & Order Block - Market StructureOverview A comprehensive Smart Money Concepts (SMC) indicator that combines Fair Value Gaps, Order Blocks, Market Structure analysis, and Key Levels into one powerful tool. Designed for traders who follow ICT (Inner Circle Trader) methodology and institutional trading concepts. 🔹 Features Fair Value Gaps (FVG) Automatically detects bullish and bearish imbalances in price Customizable mitigation logic: choose between "Close" (candle must close through the gap) or "Touch" (wick into the gap) FVGs extend forward and auto-remove when mitigated Separate colors for bullish (demand) and bearish (supply) gaps Order Blocks (OB) Identifies institutional order blocks based on significant price moves Detects the last opposing candle before a breakout move Customizable mitigation type (Close vs Touch) Adjustable lookback period for sensitivity control Market Structure (CHoCH & BOS) CHoCH (Change of Character): Detects trend reversals when price breaks structure against the current trend BOS (Break of Structure): Confirms trend continuation when price breaks structure in the direction of the trend Visual labels and dashed lines mark each structural break Adjustable swing length for different trading styles Key Levels PDH/PDL: Previous Day High/Low PWH/PWL: Previous Week High/Low PMH/PML: Previous Month High/Low Clean horizontal lines with labels that auto-update Liquidity Levels Identifies clusters of equal lows where stop losses likely accumulate Shows percentage distance from current price Helps anticipate liquidity grabs and stop hunts Info Dashboard Real-time display of current market structure (Bullish/Bearish/Neutral) Count of active FVGs and Order Blocks ⚙️ Customization Toggle each feature on/off independently Fully customizable colors for all elements Adjustable zone extension periods Choose mitigation type per zone (Close vs Touch) Swing length adjustment for market structure sensitivity 📈 How to Use Identify Trend: Check the dashboard for current market structure Find Entry Zones: Look for unfilled FVGs and untested Order Blocks in the direction of the trend Confirm with Structure: Wait for BOS to confirm trend continuation or CHoCH for reversals Use Key Levels: PDH/PDL/PWH/PWL act as support/resistance and liquidity targets Watch Liquidity: Equal lows often get swept before reversals 🎯 Best Used On Indices (NiftyFifty, BankNifty, S&P 500, Nasdaq) Forex pairs Crypto (BTC, ETH) Works on all timeframes (15m, 1H, 4H, Daily recommended) ⚠️ Disclaimer This indicator is a technical analysis tool and should not be considered financial advice. Always use proper risk management and combine with your own analysis. Past performance does not guarantee future results. 📝 Release Notes v1.0 Initial release FVG detection with customizable mitigation Order Block detection CHoCH & BOS market structure PDH/PDL, PWH/PWL, PMH/PML levels Liquidity level detection Info dashboard Tags: smartmoney smc ict fairvaluegap fvg orderblock marketstructure choch bos liquidity supplydemand priceaction
อินดิเคเตอร์ Pine Script®
โดย Spoiltbrat
BTC - Sentiment (Posts weighted) LSMABTC - Sentiment (Posts Weighted) LSMA | RM Concept In the current 2026 market regime, Bitcoin has transitioned into a mature institutional asset. However, retail "Social Liquidity" remains the primary driver of local volatility and blow-off tops. This script serves as a deterministic proxy for crowd conviction, utilizing the LUNARCRUSH:BTC_SENTIMENT feed to identify when social hype has decoupled from fundamental value. Data Source: LunarCrush Integration This model utilizes the native LunarCrush data prefix. Unlike simple "mention counts," the BTC_SENTIMENT metric is a percentage-based value (0-100%) representing the "Sentiment of positive posts weighted by interactions." • Interactions vs. Volume: By weighting sentiment by interactions (likes, shares, comments), the data filters out bot-driven "spam" and focuses on what real participants are actually engaging with. • Meaning of the Value: 100% indicates that every single interaction-weighted post is positive; 0% indicates total negativity. Historically, BTC sentiment rarely drops below 60% or stays above 90% for long, creating a predictable mean-reverting corridor. Technical Architecture • The LSMA Denoising Engine Raw social data is inherently "jittery." To extract a tradable signal, we apply a Least Squares Moving Average (LSMA) with a 28-day lookback. • Mathematical Advantage: Unlike a Simple Moving Average (SMA), the LSMA calculates a linear regression line for each period to find the "best fit." This allows the indicator to track the velocity of sentiment shifts with significantly less lag, which is critical for identifying "Social Exhaustion" before a price reversal occurs. • The Social Heat Index (SHI) Calculation: To align this data with the broader Rob Maths ecosystem, we normalize the LSMA output into a standardized 0–10 score using a Linear Feature Scaling (Min-Max) formula: SHI = ((Current LSMA - 65) / 25) * 10 ; This formula treats 65% as the "Floor" (Apathy) and 90% as the "Ceiling" (Hysteria). This 0–10 scale allows for immediate comparison against other institutional risk metrics. Regime Audits & Usage • Accumulation (Blue Zone / <72.5%): Social Despair. Retail interest is at a mathematical minimum. Historically, these periods of "Social Apathy" coincide with major local bottoms as institutional "Smart Money" absorbs the lack of retail demand. • Neutral Zone (Grey): Sustainable growth. Sentiment is within the normal distribution. • Distribution (Red Zone / >82.5%): Overheated. The crowd is in a state of maximum FOMO. When the SHI exceeds 8.5/10, the risk of a "Liquidity Flush" increases significantly. Visual Scaling To ensure the curve is readable, the indicator pane is hard-locked to a 65–90 scale. This prevents the "flat line" effect often seen in 0-100 oscillators and highlights the subtle divergences that occur at cycle peaks. Disclaimer Past performance does not guarantee future results. Social metrics are alternative data points and should be used in conjunction with price action and risk management. This is a mathematical model, not financial advice. Tags Rob Maths, Rob_Maths, robmaths, Bitcoin, Sentiment, LunarCrush, Quant, LSMA, OnChain, Social Liquidity
อินดิเคเตอร์ Pine Script®
โดย Rob_Maths
Retail Forex Sentiment Fear/Greed CurrencyPairsRetail Forex Sentiment Fear/Greed CurrencyPairs Overview The Retail Forex Sentiment Indicator provides sentiment data for major and cross currency pairs. This indicator displays retail trader positioning using retail brokers data, showing what percentage of retail traders are long or short on each forex pair. Important: Indicator Split Notice --------------------------------- Due to TradingView's limitation of 40 data requests per indicator, the original Retail Sentiment Indicator has been split into TWO separate indicators you will find on TradingView: 1. This indicator - Specialized for Forex currency pairs (30+ pairs) [2. Retail Sentiment Indicator - Multi-Asset CFD & Fear/Greed Index - For indices, commodities, cryptocurrencies, and Fear/Greed indices Please look at both indicators to access all available sentiment data. Methodology and Scale Calculation --------------------------------- This indicator operates on a **-50 to +50 scale** with zero representing perfect market equilibrium. Scale Interpretation: - **Zero (0)**: Market balance - exactly 50% of traders long, 50% short - **Positive values**: Majority long (buying) pressure - Example: If 63% of traders are long, the indicator shows +13 (63 - 50 = +13) - **Negative values**: Majority short (selling) pressure - Example: If 92% of traders are short, the indicator shows -42 (50 - 92 = -42) Features -------- - **Auto-Detection**: Automatically loads sentiment data based on the current chart symbol - **Manual Selection**: Choose from 30+ supported currency pairs when auto-detection is unavailable - **Visual Zones**: Clear greed/fear zones with color-coded backgrounds (green for fear zone, red for greed zone - contrarian colors) - **Daily Updates**: Live sentiment data from retail CFD providers Supported Currency Pairs ======================== Major Pairs ----------- - EURUSD (most traded pair globally) - GBPUSD (Cable) USD Pairs --------- - USDJPY, USDCHF, USDCAD - USDPLN PLN (Polish Zloty) Pairs ------------------------ - USDPLN, EURPLN, GBPPLN, CHFPLN EUR Cross Pairs --------------- - EURJPY, EURCHF, EURCAD, EURAUD, EURNZD, EURGBP GBP Cross Pairs --------------- - GBPJPY, GBPCHF, GBPCAD, GBPAUD, GBPNZD AUD (Australian Dollar) Pairs ----------------------------- - AUDUSD, AUDJPY, AUDCHF, AUDNZD, AUDCAD NZD (New Zealand Dollar) Pairs ------------------------------ - NZDUSD, NZDJPY, NZDCHF, NZDCAD CAD Cross Pairs --------------- - CADJPY, CADCHF CHF Cross Pairs --------------- - CHFJPY How to Use ---------- 1. **Auto Mode** (Default): Enable "Auto-load Sentiment Data" checkbox to automatically display sentiment for the current chart's currency pair 2. **Manual Mode**: Disable auto-load and select from the dropdown menu for specific currency pairs 3. **Interpretation**: - Values above 0 (green line) indicate retail traders are net long (greed/bullish sentiment) - Values below 0 (red line) indicate retail traders are net short (fear/bearish sentiment) - Extreme zones (+35 to +50 and -35 to -50) indicate strong positioning Trading Strategy & Market Philosophy ==================================== Contrarian Trading Approach --------------------------- The primary purpose of this indicator is based on the fundamental market principle that **the majority of retail forex traders are wrong most of the time**, and currency pairs typically move opposite to the positions held by the majority of retail participants. Key Strategy Guidelines: - **Contrarian Signal**: When the majority of retail traders are positioned on one side, consider opportunities in the opposite direction - **Trend Exhaustion Signal**: When retail traders finally flip to trade WITH an established trend after being wrong for extended period, this often signals trend exhaustion Interpretation Examples: - High greed readings (majority long) -> Consider short opportunities - High fear readings (majority short) -> Consider long opportunities - Sudden sentiment flip during established trends -> Potential trend reversal signal Forex-Specific Notes ==================== Currency Correlations --------------------- When analyzing forex sentiment, consider that: - USD pairs often move together (if retail is long EURUSD, they're often short USDJPY) - Cross pairs can provide confirmation signals - Comparing sentiment across related pairs can reveal broader positioning Auto-Detection Support ---------------------- The indicator supports automatic detection of various broker ticker formats including: - Standard pairs (EURUSD, GBPUSD, etc.) - CME Futures symbols (6E, 6B, JY, etc.) - Micro futures (M6E, M6B, MJY, etc.) This functionality is powered by regex pattern matching. However, for some CME futures pairs—particularly those involving JPY, CAD, and CHF—auto-detection may not work properly. In such cases, disable the auto-load checkbox and manually select the ticker from the dropdown menu. Technical Notes --------------- - Built with PineScript v6 - Dynamic symbol detection with fallback options - Optimized for performance with minimal resource usage - Color-coded visualization with customizable zones Data Sources ------------ This indicator uses curated sentiment data from retail CFD providers. Data is updated regularly and sourced from reputable financial data providers. Data Infrastructure Status -------------------------- Current Data Upload Process: Please note that sentiment data uploads may occasionally experience minor interruptions. However, this should not pose significant issues as sentiment data typically changes gradually rather than rapidly. Acknowledgments --------------- We extend our gratitude to **TradingView** for enabling the use of custom data feeds based on GitHub repositories, making this comprehensive forex sentiment analysis possible. Disclaimer ---------- This indicator is for educational and informational purposes only. Sentiment data should be used as part of a comprehensive trading strategy and not as the sole basis for trading decisions. Past performance does not guarantee future results. The contrarian approach described is a market theory and may not always produce profitable results. Forex trading involves significant risk of loss.
อินดิเคเตอร์ Pine Script®
โดย OpenTrading_ai
ORB Fusion🎯 CORE INNOVATION: INSTITUTIONAL ORB FRAMEWORK WITH FAILED BREAKOUT INTELLIGENCE ORB Fusion represents a complete institutional-grade Opening Range Breakout system combining classic Market Profile concepts (Initial Balance, day type classification) with modern algorithmic breakout detection, failed breakout reversal logic, and comprehensive statistical tracking. Rather than simply drawing lines at opening range extremes, this system implements the full trading methodology used by professional floor traders and market makers—including the critical concept that failed breakouts are often higher-probability setups than successful breakouts . The Opening Range Hypothesis: The first 30-60 minutes of trading establishes the day's value area —the price range where the majority of participants agree on fair value. This range is formed during peak information flow (overnight news digestion, gap reactions, early institutional positioning). Breakouts from this range signal directional conviction; failures to hold breakouts signal trapped participants and create exploitable reversals. Why Opening Range Matters: 1. Information Aggregation : Opening range reflects overnight news, pre-market sentiment, and early institutional orders. It's the market's initial "consensus" on value. 2. Liquidity Concentration : Stop losses cluster just outside opening range. Breakouts trigger these stops, creating momentum. Failed breakouts trap traders, forcing reversals. 3. Statistical Persistence : Markets exhibit range expansion tendency —when price accepts above/below opening range with volume, it often extends 1.0-2.0x the opening range size before mean reversion. 4. Institutional Behavior : Large players (market makers, institutions) use opening range as reference for the day's trading plan. They fade extremes in rotation days and follow breakouts in trend days. Historical Context: Opening Range Breakout methodology originated in commodity futures pits (1970s-80s) where floor traders noticed consistent patterns: the first 30-60 minutes established a "fair value zone," and directional moves occurred when this zone was violated with conviction. J. Peter Steidlmayer formalized this observation in Market Profile theory, introducing the "Initial Balance" concept—the first hour (two 30-minute periods) defining market structure. 📊 OPENING RANGE CONSTRUCTION Four ORB Timeframe Options: 1. 5-Minute ORB (0930-0935 ET): Captures immediate market direction during "opening drive"—the explosive first few minutes when overnight orders hit the tape. Use Case: • Scalping strategies • High-frequency breakout trading • Extremely liquid instruments (ES, NQ, SPY) Characteristics: • Very tight range (often 0.2-0.5% of price) • Early breakouts common (7 of 10 days break within first hour) • Higher false breakout rate (50-60%) • Requires sub-minute chart monitoring Psychology: Captures panic buyers/sellers reacting to overnight news. Range is small because sample size is minimal—only 5 minutes of price discovery. Early breakouts often fail because they're driven by retail FOMO rather than institutional conviction. 2. 15-Minute ORB (0930-0945 ET): Balances responsiveness with statistical validity. Captures opening drive plus initial reaction to that drive. Use Case: • Day trading strategies • Balanced scalping/swing hybrid • Most liquid instruments Characteristics: • Moderate range (0.4-0.8% of price typically) • Breakout rate ~60% of days • False breakout rate ~40-45% • Good balance of opportunity and reliability Psychology: Includes opening panic AND the first retest/consolidation. Sophisticated traders (institutions, algos) start expressing directional bias. This is the "Goldilocks" timeframe—not too reactive, not too slow. 3. 30-Minute ORB (0930-1000 ET): Classic ORB timeframe. Default for most professional implementations. Use Case: • Standard intraday trading • Position sizing for full-day trades • All liquid instruments (equities, indices, futures) Characteristics: • Substantial range (0.6-1.2% of price) • Breakout rate ~55% of days • False breakout rate ~35-40% • Statistical sweet spot for extensions Psychology: Full opening auction + first institutional repositioning complete. By 10:00 AM ET, headlines are digested, early stops are hit, and "real" directional players reveal themselves. This is when institutional programs typically finish their opening positioning. Statistical Advantage: 30-minute ORB shows highest correlation with daily range. When price breaks and holds outside 30m ORB, probability of reaching 1.0x extension (doubling the opening range) exceeds 60% historically. 4. 60-Minute ORB (0930-1030 ET) - Initial Balance: Steidlmayer's "Initial Balance"—the foundation of Market Profile theory. Use Case: • Swing trading entries • Day type classification • Low-frequency institutional setups Characteristics: • Wide range (0.8-1.5% of price) • Breakout rate ~45% of days • False breakout rate ~25-30% (lowest) • Best for trend day identification Psychology: Full first hour captures A-period (0930-1000) and B-period (1000-1030). By 10:30 AM ET, all early positioning is complete. Market has "voted" on value. Subsequent price action confirms (trend day) or rejects (rotation day) this value assessment. Initial Balance Theory: IB represents the market's accepted value area . When price extends significantly beyond IB (>1.5x IB range), it signals a Trend Day —strong directional conviction. When price remains within 1.0x IB, it signals a Rotation Day —mean reversion environment. This classification completely changes trading strategy. 🔬 LTF PRECISION TECHNOLOGY The Chart Timeframe Problem: Traditional ORB indicators calculate range using the chart's current timeframe. This creates critical inaccuracies: Example: • You're on a 5-minute chart • ORB period is 30 minutes (0930-1000 ET) • Indicator sees only 6 bars (30min ÷ 5min/bar = 6 bars) • If any 5-minute bar has extreme wick, entire ORB is distorted The Problem Amplifies: • On 15-minute chart with 30-minute ORB: Only 2 bars sampled • On 30-minute chart with 30-minute ORB: Only 1 bar sampled • Opening spike or single large wick defines entire range (invalid) Solution: Lower Timeframe (LTF) Precision: ORB Fusion uses `request.security_lower_tf()` to sample 1-minute bars regardless of chart timeframe: ``` For 30-minute ORB on 15-minute chart: - Traditional method: Uses 2 bars (15min × 2 = 30min) - LTF Precision: Requests thirty 1-minute bars, calculates true high/low ``` Why This Matters: Scenario: ES futures, 15-minute chart, 30-minute ORB • Traditional ORB: High = 5850.00, Low = 5842.00 (range = 8 points) • LTF Precision ORB: High = 5848.50, Low = 5843.25 (range = 5.25 points) Difference: 2.75 points distortion from single 15-minute wick hitting 5850.00 at 9:31 AM then immediately reversing. LTF precision filters this out by seeing it was a fleeting wick, not a sustained high. Impact on Extensions: With inflated range (8 points vs 5.25 points): • 1.5x extension projects +12 points instead of +7.875 points • Difference: 4.125 points (nearly $200 per ES contract) • Breakout signals trigger late; extension targets unreachable Implementation: ```pinescript getLtfHighLow() => float ha = request.security_lower_tf(syminfo.tickerid, "1", high) float la = request.security_lower_tf(syminfo.tickerid, "1", low) ``` Function returns arrays of 1-minute high/low values, then finds true maximum and minimum across all samples. When LTF Precision Activates: Only when chart timeframe exceeds ORB session window: • 5-minute chart + 30-minute ORB: LTF used (chart TF > session bars needed) • 1-minute chart + 30-minute ORB: LTF not needed (direct sampling sufficient) Recommendation: Always enable LTF Precision unless you're on 1-minute charts. The computational overhead is negligible, and accuracy improvement is substantial. ⚖️ INITIAL BALANCE (IB) FRAMEWORK Steidlmayer's Market Profile Innovation: J. Peter Steidlmayer developed Market Profile in the 1980s for the Chicago Board of Trade. His key insight: market structure is best understood through time-at-price (value area) rather than just price-over-time (traditional charts). Initial Balance Definition: IB is the price range established during the first hour of trading, subdivided into: • A-Period : First 30 minutes (0930-1000 ET for US equities) • B-Period : Second 30 minutes (1000-1030 ET) A-Period vs B-Period Comparison: The relationship between A and B periods forecasts the day: B-Period Expansion (Bullish): • B-period high > A-period high • B-period low ≥ A-period low • Interpretation: Buyers stepping in after opening assessed • Implication: Bullish continuation likely • Strategy: Buy pullbacks to A-period high (now support) B-Period Expansion (Bearish): • B-period low < A-period low • B-period high ≤ A-period high • Interpretation: Sellers stepping in after opening assessed • Implication: Bearish continuation likely • Strategy: Sell rallies to A-period low (now resistance) B-Period Contraction: • B-period stays within A-period range • Interpretation: Market indecisive, digesting A-period information • Implication: Rotation day likely, stay range-bound • Strategy: Fade extremes, sell high/buy low within IB IB Extensions: Professional traders use IB as a ruler to project price targets: Extension Levels: • 0.5x IB : Initial probe outside value (minor target) • 1.0x IB : Full extension (major target for normal days) • 1.5x IB : Trend day threshold (classifies as trending) • 2.0x IB : Strong trend day (rare, ~10-15% of days) Calculation: ``` IB Range = IB High - IB Low Bull Extension 1.0x = IB High + (IB Range × 1.0) Bear Extension 1.0x = IB Low - (IB Range × 1.0) ``` Example: ES futures: • IB High: 5850.00 • IB Low: 5842.00 • IB Range: 8.00 points Extensions: • 1.0x Bull Target: 5850 + 8 = 5858.00 • 1.5x Bull Target: 5850 + 12 = 5862.00 • 2.0x Bull Target: 5850 + 16 = 5866.00 If price reaches 5862.00 (1.5x), day is classified as Trend Day —strategy shifts from mean reversion to trend following. 📈 DAY TYPE CLASSIFICATION SYSTEM Four Day Types (Market Profile Framework): 1. TREND DAY: Definition: Price extends ≥1.5x IB range in one direction and stays there. Characteristics: • Opens and never returns to IB • Persistent directional movement • Volume increases as day progresses (conviction building) • News-driven or strong institutional flow Frequency: ~20-25% of trading days Trading Strategy: • DO: Follow the trend, trail stops, let winners run • DON'T: Fade extremes, take early profits • Key: Add to position on pullbacks to previous extension level • Risk: Getting chopped in false trend (see Failed Breakout section) Example: FOMC decision, payroll report, earnings surprise—anything creating one-sided conviction. 2. NORMAL DAY: Definition: Price extends 0.5-1.5x IB, tests both sides, returns to IB. Characteristics: • Two-sided trading • Extensions occur but don't persist • Volume balanced throughout day • Most common day type Frequency: ~45-50% of trading days Trading Strategy: • DO: Take profits at extension levels, expect reversals • DON'T: Hold for massive moves • Key: Treat each extension as a profit-taking opportunity • Risk: Holding too long when momentum shifts Example: Typical day with no major catalysts—market balancing supply and demand. 3. ROTATION DAY: Definition: Price stays within IB all day, rotating between high and low. Characteristics: • Never accepts outside IB • Multiple tests of IB high/low • Decreasing volume (no conviction) • Classic range-bound action Frequency: ~25-30% of trading days Trading Strategy: • DO: Fade extremes (sell IB high, buy IB low) • DON'T: Chase breakouts • Key: Enter at extremes with tight stops just outside IB • Risk: Breakout finally occurs after multiple failures Example: [/b> Pre-holiday trading, summer doldrums, consolidation after big move. 4. DEVELOPING: Definition: Day type not yet determined (early in session). Usage: Classification before 12:00 PM ET when IB extension pattern unclear. ORB Fusion's Classification Algorithm: ```pinescript if close > ibHigh: ibExtension = (close - ibHigh) / ibRange direction = "BULLISH" else if close < ibLow: ibExtension = (ibLow - close) / ibRange direction = "BEARISH" if ibExtension >= 1.5: dayType = "TREND DAY" else if ibExtension >= 0.5: dayType = "NORMAL DAY" else if close within IB: dayType = "ROTATION DAY" ``` Why Classification Matters: Same setup (bullish ORB breakout) has opposite implications: • Trend Day : Hold for 2.0x extension, trail stops aggressively • Normal Day : Take profits at 1.0x extension, watch for reversal • Rotation Day : Fade the breakout immediately (likely false) Knowing day type prevents catastrophic errors like fading a trend day or holding through rotation. 🚀 BREAKOUT DETECTION & CONFIRMATION Three Confirmation Methods: 1. Close Beyond Level (Recommended): Logic: Candle must close above ORB high (bull) or below ORB low (bear). Why: • Filters out wicks (temporary liquidity grabs) • Ensures sustained acceptance above/below range • Reduces false breakout rate by ~20-30% Example: • ORB High: 5850.00 • Bar high touches 5850.50 (wick above) • Bar closes at 5848.00 (inside range) • Result: NO breakout signal vs. • Bar high touches 5850.50 • Bar closes at 5851.00 (outside range) • Result: BREAKOUT signal confirmed Trade-off: Slightly delayed entry (wait for close) but much higher reliability. 2. Wick Beyond Level: Logic: [/b> Any touch of ORB high/low triggers breakout. Why: • Earliest possible entry • Captures aggressive momentum moves Risk: • High false breakout rate (60-70%) • Stop runs trigger signals • Requires very tight stops (difficult to manage) Use Case: Scalping with 1-2 point profit targets where any penetration = trade. 3. Body Beyond Level: Logic: [/b> Candle body (close vs open) must be entirely outside range. Why: • Strictest confirmation • Ensures directional conviction (not just momentum) • Lowest false breakout rate Example: Trade-off: [/b> Very conservative—misses some valid breakouts but rarely triggers on false ones. Volume Confirmation Layer: All confirmation methods can require volume validation: Volume Multiplier Logic: Rationale: [/b> True breakouts are driven by institutional activity (large size). Volume spike confirms real conviction vs. stop-run manipulation. Statistical Impact: [/b> • Breakouts with volume confirmation: ~65% success rate • Breakouts without volume: ~45% success rate • Difference: 20 percentage points edge Implementation Note: [/b> Volume confirmation adds complexity—you'll miss breakouts that work but lack volume. However, when targeting 1.5x+ extensions (ambitious goals), volume confirmation becomes critical because those moves require sustained institutional participation. Recommended Settings by Strategy: [/b> Scalping (1-2 point targets): [/b> • Method: Close • Volume: OFF • Rationale: Quick in/out doesn't need perfection Intraday Swing (5-10 point targets): [/b> • Method: Close • Volume: ON (1.5x multiplier) • Rationale: Balance reliability and opportunity Position Trading (full-day holds): [/b> • Method: Body • Volume: ON (2.0x multiplier) • Rationale: Must be certain—large stops require high win rate 🔥 FAILED BREAKOUT SYSTEM The Core Insight: [/b> Failed breakouts are often more profitable [/b> than successful breakouts because they create trapped traders with predictable behavior. Failed Breakout Definition: [/b> A breakout that: 1. Initially penetrates ORB level with confirmation 2. Attracts participants (volume spike, momentum) 3. Fails to extend (stalls or immediately reverses) 4. Returns inside ORB range within N bars Psychology of Failure: [/b> When breakout fails: • Breakout buyers are trapped [/b>: Bought at ORB high, now underwater • Early longs reduce: Take profit, fearful of reversal • Shorts smell blood: See failed breakout as reversal signal • Result: Cascade of selling as trapped bulls exit + new shorts enter Mirror image for failed bearish breakouts (trapped shorts cover + new longs enter). Failure Detection Parameters: [/b> 1. Failure Confirmation Bars (default: 3): [/b> How many bars after breakout to confirm failure? Logic: Settings: [/b> • 2 bars: Aggressive failure detection (more signals, more false failures) • 3 bars Balanced (default) • 5-10 bars: Conservative (wait for clear reversal) Why This Matters: Too few bars: You call "failed breakout" when price is just consolidating before next leg. Too many bars: You miss the reversal entry (price already back in range). 2. Failure Buffer (default: 0.1 ATR): [/b> How far inside ORB must price return to confirm failure? Formula: Why Buffer Matters: clear rejection [/b> (not just hovering at level). Settings: [/b> • 0.0 ATR: No buffer, immediate failure signal • 0.1 ATR: Small buffer (default) - filters noise • [b>0.2-0.3 ATR: Large buffer - only dramatic failures count Example: Reversal Entry System: [/b> When failure confirmed, system generates complete reversal trade: For Failed Bull Breakout (Short Reversal): [/b> Entry: [/b> Current close when failure confirmed Stop Loss: [/b> Extreme high since breakout + 0.10 ATR padding Target 1: [/b> ORB High - (ORB Range × 0.5) Target 2: Target 3: [/b> ORB High - (ORB Range × 1.5) Example: • ORB High: 5850, ORB Low: 5842, Range: 8 points • Breakout to 5853, fails, reverses to 5848 (entry) • Stop: 5853 + 1 = 5854 (6 point risk) • T1: 5850 - 4 = 5846 (-2 points, 1:3 R:R) • T2: 5850 - 8 = 5842 (-6 points, 1:1 R:R) • T3: 5850 - 12 = 5838 (-10 points, 1.67:1 R:R) [b>Why These Targets? [/b> • T1 (0.5x ORB below high): Trapped bulls start panic • T2 (1.0x ORB = ORB Mid): Major retracement, momentum fully reversed • T3 (1.5x ORB): Reversal extended, now targeting opposite side Historical Performance: [/b> Failed breakout reversals in ORB Fusion's tracking system show: • Win Rate: 65-75% (significantly higher than initial breakouts) • Average Winner: 1.2x ORB range • Average Loser: 0.5x ORB range (protected by stop at extreme) • Expectancy: Strongly positive even with <70% win rate Why Failed Breakouts Outperform: [/b> 1. Information Advantage: You now know what price did (failed to extend). Initial breakout trades are speculative; reversal trades are reactive to confirmed failure. 2. Trapped Participant Pressure: Every trapped bull becomes a seller. This creates sustained pressure. 3. Stop Loss Clarity: Extreme high is obvious stop (just beyond recent high). Breakout trades have ambiguous stops (ORB mid? Recent low? Too wide or too tight). 4. Mean Reversion Edge: Failed breakouts return to value (ORB mid). Initial breakouts try to escape value (harder to sustain). Critical Insight: [/b> "The best trade is often the one that trapped everyone else." Failed breakouts create asymmetric opportunity because you're trading against [/b> trapped participants rather than with [/b> them. When you see a failed breakout signal, you're seeing real-time evidence that the market rejected directional conviction—that's exploitable. 📐 FIBONACCI EXTENSION SYSTEM Six Extension Levels: [/b> Extensions project how far price will travel after ORB breakout. Based on Fibonacci ratios + empirical market behavior. 1. 1.272x (27.2% Extension): [/b> Formula: [/b> ORB High/Low + (ORB Range × 0.272) Psychology: [/b> Initial probe beyond ORB. Early momentum + trapped shorts (on bull side) covering. Probability of Reach: [/b> ~75-80% after confirmed breakout Trading: [/b> • First resistance/support after breakout • Partial profit target (take 30-50% off) • Watch for rejection here (could signal failure in progress) Why 1.272? [/b> Related to harmonic patterns (1.272 is √1.618). Empirically, markets often stall at 25-30% extension before deciding whether to continue or fail. 2. 1.5x (50% Extension): Formula: [/b> ORB High/Low + (ORB Range × 0.5) Psychology: [/b> Breakout gaining conviction. Requires sustained buying/selling (not just momentum spike). Probability of Reach: [/b> ~60-65% after confirmed breakout Trading: [/b> • Major partial profit (take 50-70% off) • Move stops to breakeven • Trail remaining position Why 1.5x? [/b> Classic halfway point to 2.0x. Markets often consolidate here before final push. If day type is "Normal," this is likely the high/low for the day. 3. 1.618x (Golden Ratio Extension): [/b> Formula: [/b> ORB High/Low + (ORB Range × 0.618) Psychology: [/b> Strong directional day. Institutional conviction + retail FOMO. Probability of Reach: [/b> ~45-50% after confirmed breakout Trading: [/b> • Final partial profit (close 80-90%) • Trail remainder with wide stop (allow breathing room) Why 1.618? [/b> Fibonacci golden ratio. Appears consistently in market geometry. When price reaches 1.618x extension, move is "mature" and reversal risk increases. 4. 2.0x (100% Extension): [/b> Formula: ORB High/Low + (ORB Range × 1.0) Psychology: [/b> Trend day confirmed. Opening range completely duplicated. Probability of Reach: [/b> ~30-35% after confirmed breakout Trading: Why 2.0x? [/b> Psychological level—range doubled. Also corresponds to typical daily ATR in many instruments (opening range ~ 0.5 ATR, daily range ~ 1.0 ATR). 5. 2.618x (Super Extension): Formula: [/b> ORB High/Low + (ORB Range × 1.618) Psychology: [/b> Parabolic move. News-driven or squeeze. Probability of Reach: [/b> ~10-15% after confirmed breakout [b>Trading: Why 2.618? [/b> Fibonacci ratio (1.618²). Rare to reach—when it does, move is extreme. Often precedes multi-day consolidation or reversal. 6. 3.0x (Extreme Extension): [/b> Formula: [/b> ORB High/Low + (ORB Range × 2.0) Psychology: [/b> Market melt-up/crash. Only in extreme events. [b>Probability of Reach: [/b> <5% after confirmed breakout Trading: [/b> • Close immediately if reached • These are outlier events (black swans, flash crashes, squeeze-outs) • Holding for more is greed—take windfall profit Why 3.0x? [/b> Triple opening range. So rare it's statistical noise. When it happens, it's headline news. Visual Example: ES futures, ORB 5842-5850 (8 point range), Bullish breakout: • ORB High : 5850.00 (entry zone) • 1.272x : 5850 + 2.18 = 5852.18 (first resistance) • 1.5x : 5850 + 4.00 = 5854.00 (major target) • 1.618x : 5850 + 4.94 = 5854.94 (strong target) • 2.0x : 5850 + 8.00 = 5858.00 (trend day) • 2.618x : 5850 + 12.94 = 5862.94 (extreme) • 3.0x : 5850 + 16.00 = 5866.00 (parabolic) Profit-Taking Strategy: Optimal scaling out at extensions: • Breakout entry at 5850.50 • 30% off at 1.272x (5852.18) → +1.68 points • 40% off at 1.5x (5854.00) → +3.50 points • 20% off at 1.618x (5854.94) → +4.44 points • 10% off at 2.0x (5858.00) → +7.50 points [b>Average Exit: Conclusion: [/b> Scaling out at extensions produces 40% higher expectancy than holding for home runs. 📊 GAP ANALYSIS & FILL PSYCHOLOGY [b>Gap Definition: [/b> Price discontinuity between previous close and current open: • Gap Up : Open > Previous Close + noise threshold (0.1 ATR) • Gap Down : Open < Previous Close - noise threshold Why Gaps Matter: [/b> Gaps represent unfilled orders [/b>. When market gaps up, all limit buy orders between yesterday's close and today's open are never filled. Those buyers are "left behind." Psychology: they wait for price to return ("fill the gap") so they can enter. This creates magnetic pull [/b> toward gap level. Gap Fill Statistics (Empirical): [/b> • Gaps <0.5% [/b>: 85-90% fill within same day • Gaps 0.5-1.0% [/b>: 70-75% fill within same day, 90%+ within week • Gaps >1.0% [/b>: 50-60% fill within same day (major news often prevents fill) Gap Fill Strategy: [/b> Setup 1: Gap-and-Go Gap opens, extends away from gap (doesn't fill). • ORB confirms direction away from gap • Trade WITH ORB breakout direction • Expectation: Gap won't fill today (momentum too strong) Setup 2: Gap-Fill Fade Gap opens, but fails to extend. Price drifts back toward gap. • ORB breakout TOWARD gap (not away) • Trade toward gap fill level • Target: Previous close (gap fill complete) Setup 3: Gap-Fill Rejection Gap fills (touches previous close) then rejects. • ORB breakout AWAY from gap after fill • Trade away from gap direction • Thesis: Gap filled (orders executed), now resume original direction [b>Example: Scenario A (Gap-and-Go): • ORB breaks upward to $454 (away from gap) • Trade: LONG breakout, expect continued rally • Gap becomes support ($452) Scenario B (Gap-Fill): • ORB breaks downward through $452.50 (toward gap) • Trade: SHORT toward gap fill at $450.00 • Target: $450.00 (gap filled), close position Scenario C (Gap-Fill Rejection): • Price drifts to $450.00 (gap filled) early in session • ORB establishes $450-$451 after gap fill • ORB breaks upward to $451.50 • Trade: LONG breakout (gap is filled, now resume rally) ORB Fusion Integration: [/b> Dashboard shows: • Gap type (Up/Down/None) • Gap size (percentage) • Gap fill status (Filled ✓ / Open) This informs setup confidence: • ORB breakout AWAY from unfilled gap: +10% confidence (gap becomes support/resistance) • ORB breakout TOWARD unfilled gap: -10% confidence (gap fill may override ORB) [b>📈 VWAP & INSTITUTIONAL BIAS [/b> [b>Volume-Weighted Average Price (VWAP): [/b> Average price weighted by volume at each price level. Represents true "average" cost for the day. [b>Calculation: Institutional Benchmark [/b>: Institutions (mutual funds, pension funds) use VWAP as performance benchmark. If they buy above VWAP, they underperformed; below VWAP, they outperformed. 2. [b>Algorithmic Target [/b>: Many algos are programmed to buy below VWAP and sell above VWAP to achieve "fair" execution. 3. [b>Support/Resistance [/b>: VWAP acts as dynamic support (price above) or resistance (price below). [b>VWAP Bands (Standard Deviations): [/b> • [b>1σ Band [/b>: VWAP ± 1 standard deviation - Contains ~68% of volume - Normal trading range - Bounces common • [b>2σ Band [/b>: VWAP ± 2 standard deviations - Contains ~95% of volume - Extreme extension - Mean reversion likely ORB + VWAP Confluence: [/b> Highest-probability setups occur when ORB and VWAP align: Bullish Confluence: [/b> • ORB breakout upward (bullish signal) • Price above VWAP (institutional buying) • Confidence boost: +15% Bearish Confluence: [/b> • ORB breakout downward (bearish signal) • Price below VWAP (institutional selling) • Confidence boost: +15% [b>Divergence Warning: • ORB breakout upward BUT price below VWAP • Conflict: Breakout says "buy," VWAP says "sell" • Confidence penalty: -10% • Interpretation: Retail buying but institutions not participating (lower quality breakout) 📊 MOMENTUM CONTEXT SYSTEM [b>Innovation: Candle Coloring by Position Rather than fixed support/resistance lines, ORB Fusion colors candles based on their [b>relationship to ORB : [b>Three Zones: [/b> 1. Inside ORB (Blue Boxes): [/b> [b>Calculation: • Darker blue: Near extremes of ORB (potential breakout imminent) • Lighter blue: Near ORB mid (consolidation) [b>Trading: [/b> Coiled spring—await breakout. [b>2. Above ORB (Green Boxes): [b>Calculation: 3. Below ORB (Red Boxes): Mirror of above ORB logic. [b>Special Contexts: [/b> [b>Breakout Bar (Darkest Green/Red): [/b> The specific bar where breakout occurs gets maximum color intensity regardless of distance. This highlights the pivotal moment. [b>Failed Breakout Bar (Orange/Warning): [/b> When failed breakout is confirmed, that bar gets orange/warning color. Visual alert: "reversal opportunity here." [b>Near Extension (Cyan/Magenta Tint): [/b> When price is within 0.5 ATR of an extension level, candle gets tinted cyan (bull) or magenta (bear). Indicates "target approaching—prepare to take profit." [b>Why Visual Context? [/b> Traditional indicators show lines. ORB Fusion shows [b>context-aware momentum [/b>. Glance at chart: • Lots of blue? Consolidation day (fade extremes). • Progressive green? Trend day (follow). • Green then orange? Failed breakout (reversal setup). This visual language communicates market state instantly—no interpretation needed. 🎯 TRADE SETUP GENERATION & GRADING [/b> [b>Algorithmic Setup Detection: [/b> ORB Fusion continuously evaluates market state and generates current best trade setup with: • Action (LONG / SHORT / FADE HIGH / FADE LOW / WAIT) • Entry price • Stop loss • Three targets • Risk:Reward ratio • Confidence score (0-100) • Grade (A+ to D) [b>Setup Types: [/b> [b>1. ORB LONG (Bullish Breakout): [/b> [b>Trigger: [/b> • Bullish ORB breakout confirmed • Not failed [b>Parameters: • Entry: Current close • Stop: ORB mid (protects against failure) • T1: ORB High + 0.5x range (1.5x extension) • T2: ORB High + 1.0x range (2.0x extension) • T3: ORB High + 1.618x range (2.618x extension) [b>Confidence Scoring: [b>Trigger: [/b> • Bearish breakout occurred • Failed (returned inside ORB) [b>Parameters: [/b> • Entry: Close when failure confirmed • Stop: Extreme low since breakout + 0.10 ATR • T1: ORB Low + 0.5x range • T2: ORB Low + 1.0x range (ORB mid) • T3: ORB Low + 1.5x range [b>Confidence Scoring: [b>Trigger: • Inside ORB • Close > ORB mid (near high) [b>Parameters: [/b> • Entry: ORB High (limit order) • Stop: ORB High + 0.2x range • T1: ORB Mid • T2: ORB Low [b>Confidence Scoring: [/b> Base: 40 points (lower base—range fading is lower probability than breakout/reversal) [b>Use Case: [/b> Rotation days. Not recommended on normal/trend days. [b>6. FADE LOW (Range Trade): Mirror of FADE HIGH. [b>7. WAIT: [b>Trigger: [/b> • ORB not complete yet OR • No clear setup (price in no-man's-land) [b>Action: [/b> Observe, don't trade. [b>Confidence: [/b> 0 points [b>Grading System: ``` Confidence → Grade 85-100 → A+ 75-84 → A 65-74 → B+ 55-64 → B 45-54 → C 0-44 → D ``` [b>Grade Interpretation: [/b> • [b>A+ / A: High probability setup. Take these trades. • [b>B+ / B [/b>: Decent setup. Trade if fits system rules. • [b>C [/b>: Marginal setup. Only if very experienced. • [b>D [/b>: Poor setup or no setup. Don't trade. [b>Example Scenario: [/b> ES futures: • ORB: 5842-5850 (8 point range) • Bullish breakout to 5851 confirmed • Volume: 2.0x average (confirmed) • VWAP: 5845 (price above VWAP ✓) • Day type: Developing (too early, no bonus) • Gap: None [b>Setup: [/b> • Action: LONG • Entry: 5851 • Stop: 5846 (ORB mid, -5 point risk) • T1: 5854 (+3 points, 1:0.6 R:R) • T2: 5858 (+7 points, 1:1.4 R:R) • T3: 5862.94 (+11.94 points, 1:2.4 R:R) [b>Confidence: LONG with 55% confidence. Interpretation: Solid setup, not perfect. Trade it if your system allows B-grade signals. [b>📊 STATISTICS TRACKING & PERFORMANCE ANALYSIS [/b> [b>Real-Time Performance Metrics: [/b> ORB Fusion tracks comprehensive statistics over user-defined lookback (default 50 days): [b>Breakout Performance: [/b> • [b>Bull Breakouts: [/b> Total count, wins, losses, win rate • [b>Bear Breakouts: [/b> Total count, wins, losses, win rate [b>Win Definition: [/b> Breakout reaches ≥1.0x extension (doubles the opening range) before end of day. [b>Example: [/b> • ORB: 5842-5850 (8 points) • Bull breakout at 5851 • Reaches 5858 (1.0x extension) by close • Result: WIN [b>Failed Breakout Performance: [/b> • [b>Total Failed Breakouts [/b>: Count of breakouts that failed • [b>Reversal Wins [/b>: Count where reversal trade reached target • [b>Failed Reversal Win Rate [/b>: Wins / Total Failed [b>Win Definition for Reversals: [/b> • Failed bull → reversal short reaches ORB mid • Failed bear → reversal long reaches ORB mid [b>Extension Tracking: [/b> • [b>Average Extension Reached [/b>: Mean of maximum extension achieved across all breakout days • [b>Max Extension Overall [/b>: Largest extension ever achieved in lookback period [b>Example: 🎨 THREE DISPLAY MODES [b>Design Philosophy: [/b> Not all traders need all features. Beginners want simplicity. Professionals want everything. ORB Fusion adapts. [b>SIMPLE MODE: [/b> [b>Shows: [/b> • Primary ORB levels (High, Mid, Low) • ORB box • Breakout signals (triangles) • Failed breakout signals (crosses) • Basic dashboard (ORB status, breakout status, setup) • VWAP [b>Hides: [/b> • Session ORBs (Asian, London, NY) • IB levels and extensions • ORB extensions beyond basic levels • Gap analysis visuals • Statistics dashboard • Momentum candle coloring • Narrative dashboard [b>Use Case: [/b> • Traders who want clean chart • Focus on core ORB concept only • Mobile trading (less screen space) [b>STANDARD MODE: [b>Shows Everything in Simple Plus: [/b> • Session ORBs (Asian, London, NY) • IB levels (high, low, mid) • IB extensions • ORB extensions (1.272x, 1.5x, 1.618x, 2.0x) • Gap analysis and fill targets • VWAP bands (1σ and 2σ) • Momentum candle coloring • Context section in dashboard • Narrative dashboard [b>Hides: [/b> • Advanced extensions (2.618x, 3.0x) • Detailed statistics dashboard [b>Use Case: [/b> • Most traders • Balance between information and clarity • Covers 90% of use cases [b>ADVANCED MODE: [b>Shows Everything: • All session ORBs • All IB levels and extensions • All ORB extensions (including 2.618x and 3.0x) • Full gap analysis • VWAP with both 1σ and 2σ bands • Momentum candle coloring • Complete statistics dashboard • Narrative dashboard • All context metrics [b>Use Case: [/b> • Professional traders • System developers • Those who want maximum information density [b>Switching Modes: [/b> Single dropdown input: "Display Mode" → Simple / Standard / Advanced Entire indicator adapts instantly. No need to toggle 20 individual settings. 📖 NARRATIVE DASHBOARD [b>Innovation: Plain-English Market State [/b> Most indicators show data. ORB Fusion explains what the data [b>means [/b>. [b>Narrative Components: [/b> [b>1. Phase: [/b> • "📍 Building ORB..." (during ORB session) • "📊 Trading Phase" (after ORB complete) • "⏳ Pre-Market" (before ORB session) [b>2. Status (Current Observation): [/b> • "⚠️ Failed breakout - reversal likely" • "🚀 Bullish momentum in play" • "📉 Bearish momentum in play" • "⚖️ Consolidating in range" • "👀 Monitoring for setup" [b>3. Next Level: Tells you what to watch for: • "🎯 1.5x @ 5854.00" (next extension target) • "Watch ORB levels" (inside range, await breakout) [b>4. Setup: [/b> Current trade setup + grade: • "LONG " (bullish breakout, A-grade) • "🔥 SHORT REVERSAL " (failed bull breakout, A+-grade) • "WAIT " (no setup) [b>5. Reason: [/b> Why this setup exists: • "ORB Bullish Breakout" • "Failed Bear Breakout - High Probability Reversal" • "Range Fade - Near High" [b>6. Tip (Market Insight): Contextual advice: • "🔥 TREND DAY - Trail stops" (day type is trending) • "🔄 ROTATION - Fade extremes" (day type is rotating) • "📊 Gap unfilled - magnet level" (gap creates target) • "📈 Normal conditions" (no special context) [b>Example Narrative: ``` 📖 ORB Narrative ━━━━━━━━━━━━━━━━ Phase | 📊 Trading Phase Status | 🚀 Bullish momentum in play Next | 🎯 1.5x @ 5854.00 📈 Setup | LONG Reason | ORB Bullish Breakout 💡 Tip | 🔥 TREND DAY - Trail stops ``` [b>Glance Interpretation: [/b> "We're in trading phase. Bullish breakout happened (momentum in play). Next target is 1.5x extension at 5854. Current setup is LONG with A-grade. It's a trend day, so trail stops (don't take early profits)." Complete market state communicated in 6 lines. No interpretation needed. [b>Why This Matters: Beginner traders struggle with "So what?" question. Indicators show lines and signals, but what does it mean [/b>? Narrative dashboard bridges this gap. Professional traders benefit too—rapid context assessment during fast-moving markets. No time to analyze; glance at narrative, get action plan. 🔔 INTELLIGENT ALERT SYSTEM [b>Four Alert Types: [/b> [b>1. Breakout Alert: [/b> [b>Trigger: [/b> ORB breakout confirmed (bull or bear) [b>Message: [/b> ``` 🚀 ORB BULLISH BREAKOUT Price: 5851.00 Volume Confirmed Grade: A ``` [b>Frequency: [/b> Once per bar (prevents spam) [b>2. Failed Breakout Alert: [/b> [b>Trigger: [/b> Breakout fails, reversal setup generated [b>Message: [/b> ``` 🔥 FAILED BULLISH BREAKOUT! HIGH PROBABILITY SHORT REVERSAL Entry: 5848.00 Stop: 5854.00 T1: 5846.00 T2: 5842.00 Historical Win Rate: 73% ``` [b>Why Comprehensive? [/b> Failed breakout alerts include complete trade plan. You can execute immediately from alert—no need to check chart. [b>3. Extension Alert: [b>Trigger: [/b> Price reaches extension level for first time [b>Message: [/b> ``` 🎯 Bull Extension 1.5x reached @ 5854.00 ``` [b>Use: [/b> Profit-taking reminder. When extension hit, consider scaling out. [b>4. IB Break Alert: [/b> [b>Trigger: [/b> Price breaks above IB high or below IB low [b>Message: [/b> ``` 📊 IB HIGH BROKEN - Potential Trend Day ``` [b>Use: [/b> Day type classification. IB break suggests trend day developing—adjust strategy to trend-following mode. [b>Alert Management: [/b> Each alert type can be enabled/disabled independently. Prevents notification overload. [b>Cooldown Logic: [/b> Alerts won't fire if same alert type triggered within last bar. Prevents: • "Breakout" alert every tick during choppy breakout • Multiple "extension" alerts if price oscillates at level Ensures: One clean alert per event. ⚙️ KEY PARAMETERS EXPLAINED [b>Opening Range Settings: [/b> • [b>ORB Timeframe [/b> (5/15/30/60 min): Duration of opening range window - 30 min recommended for most traders • [b>Use RTH Only [/b> (ON/OFF): Only trade during regular trading hours - ON recommended (avoids thin overnight markets) • [b>Use LTF Precision [/b> (ON/OFF): Sample 1-minute bars for accuracy - ON recommended (critical for charts >1 minute) • [b>Precision TF [/b> (1/5 min): Timeframe for LTF sampling - 1 min recommended (most accurate) [b>Session ORBs: [/b> • [b>Show Asian/London/NY ORB [/b> (ON/OFF): Display multi-session ranges - OFF in Simple mode - ON in Standard/Advanced if trading 24hr markets • [b>Session Windows [/b>: Time ranges for each session ORB - Defaults align with major session opens [b>Initial Balance: [/b> • [b>Show IB [/b> (ON/OFF): Display Initial Balance levels - ON recommended for day type classification • [b>IB Session Window [/b> (0930-1030): First hour of trading - Default is standard for US equities • [b>Show IB Extensions [/b> (ON/OFF): Project IB extension targets - ON recommended (identifies trend days) • [b>IB Extensions 1-4 [/b> (0.5x, 1.0x, 1.5x, 2.0x): Extension multipliers - Defaults are Market Profile standard [b>ORB Extensions: [/b> • [b>Show Extensions [/b> (ON/OFF): Project ORB extension targets - ON recommended (defines profit targets) • [b>Enable Individual Extensions [/b> (1.272x, 1.5x, 1.618x, 2.0x, 2.618x, 3.0x) - Enable 1.272x, 1.5x, 1.618x, 2.0x minimum - Disable 2.618x and 3.0x unless trading very volatile instruments [b>Breakout Detection: • [b>Confirmation Method [/b> (Close/Wick/Body): - Close recommended (best balance) - Wick for scalping - Body for conservative • [b>Require Volume Confirmation [/b> (ON/OFF): - ON recommended (increases reliability) • [b>Volume Multiplier [/b> (1.0-3.0): - 1.5x recommended - Lower for thin instruments - Higher for heavy volume instruments [b>Failed Breakout System: [/b> • [b>Enable Failed Breakouts [/b> (ON/OFF): - ON strongly recommended (highest edge) • [b>Bars to Confirm Failure [/b> (2-10): - 3 bars recommended - 2 for aggressive (more signals, more false failures) - 5+ for conservative (fewer signals, higher quality) • [b>Failure Buffer [/b> (0.0-0.5 ATR): - 0.1 ATR recommended - Filters noise during consolidation near ORB level • [b>Show Reversal Targets [/b> (ON/OFF): - ON recommended (visualizes trade plan) • [b>Reversal Target Mults [/b> (0.5x, 1.0x, 1.5x): - Defaults are tested values - Adjust based on average daily range [b>Gap Analysis: • [b>Show Gap Analysis [/b> (ON/OFF): - ON if trading instruments that gap frequently - OFF for 24hr markets (forex, crypto—no gaps) • [b>Gap Fill Target [/b> (ON/OFF): - ON to visualize previous close (gap fill level) [b>VWAP: • [b>Show VWAP [/b> (ON/OFF): - ON recommended (key institutional level) • [b>Show VWAP Bands [/b> (ON/OFF): - ON in Standard/Advanced - OFF in Simple • [b>Band Multipliers (1.0σ, 2.0σ): - Defaults are standard - 1σ = normal range, 2σ = extreme [b>Day Type: [/b> • [b>Show Day Type Analysis [/b> (ON/OFF): - ON recommended (critical for strategy adaptation) • [b>Trend Day Threshold [/b> (1.0-2.5 IB mult): - 1.5x recommended - When price extends >1.5x IB, classifies as Trend Day [b>Enhanced Visuals: • [b>Show Momentum Candles [/b> (ON/OFF): - ON for visual context - OFF if chart gets too colorful • [b>Show Gradient Zone Fills [/b> (ON/OFF): - ON for professional look - OFF for minimalist chart • [b>Label Display Mode [/b> (All/Adaptive/Minimal): - Adaptive recommended (shows nearby labels only) - All for information density - Minimal for clean chart • [b>Label Proximity [/b> (1.0-5.0 ATR): - 3.0 ATR recommended - Labels beyond this distance are hidden (Adaptive mode) [b>🎓 PROFESSIONAL USAGE PROTOCOL [/b> [b>Phase 1: Learning the System (Week 1) [/b> [b>Goal: [/b> Understand ORB concepts and dashboard interpretation [b>Setup: [/b> • Display Mode: STANDARD • ORB Timeframe: 30 minutes • Enable ALL features (IB, extensions, failed breakouts, VWAP, gap analysis) • Enable statistics tracking [b>Actions: [/b> • Paper trade ONLY—no real money • Observe ORB formation every day (9:30-10:00 AM ET for US markets) • Note when ORB breakouts occur and if they extend • Note when breakouts fail and reversals happen • Watch day type classification evolve during session • Track statistics—which setups are working? [b>Key Learning: [/b> • How often do breakouts reach 1.5x extension? (typically 50-60% of confirmed breakouts) • How often do breakouts fail? (typically 30-40%) • Which setup grade (A/B/C) actually performs best? (should see A-grade outperforming) • What day type produces best results? (trend days favor breakouts, rotation days favor fades) [b>Phase 2: Parameter Optimization (Week 2) [/b> [b>Goal: [/b> Tune system to your instrument and timeframe [b>ORB Timeframe Selection: • Run 5 days with 15-minute ORB • Run 5 days with 30-minute ORB • Compare: Which captures better breakouts on your instrument? • Typically: 30-minute optimal for most, 15-minute for very liquid (ES, SPY) [b>Volume Confirmation Testing: • Run 5 days WITH volume confirmation • Run 5 days WITHOUT volume confirmation • Compare: Does volume confirmation increase win rate? • If win rate improves by >5%: Keep volume confirmation ON • If no improvement: Turn OFF (avoid missing valid breakouts) [b>Failed Breakout Bars: [b>Goal: [/b> Develop personal trading rules based on system signals [b>Setup Selection Rules: [/b> Define which setups you'll trade: • [b>Conservative: [/b> Only A+ and A grades • [b>Balanced: [/b> A+, A, B+ grades • [b>Aggressive: [/b> All grades B and above Test each approach for 5-10 trades, compare results. [b>Position Sizing by Grade: [/b> Consider risk-weighting by setup quality: • A+ grade: 100% position size • A grade: 75% position size • B+ grade: 50% position size • B grade: 25% position size Example: If max risk is $1000/trade: • A+ setup: Risk $1000 • A setup: Risk $750 • B+ setup: Risk $500 This matches bet sizing to edge. [b>Day Type Adaptation: [/b> Create rules for different day types: Trend Days: • Take ALL breakout signals (A/B/C grades) • Hold for 2.0x extension minimum • Trail stops aggressively (1.0 ATR trail) • DON'T fade—reversals unlikely Rotation Days: • ONLY take failed breakout reversals • Ignore initial breakout signals (likely to fail) • Take profits quickly (0.5x extension) • Focus on fade setups (Fade High/Fade Low) Normal Days: • Take A/A+ breakout signals only • Take ALL failed breakout reversals (high probability) • Target 1.0-1.5x extensions • Partial profit-taking at extensions Time-of-Day Rules: [/b> Breakouts at different times have different probabilities: 10:00-10:30 AM (Early Breakout): • ORB just completed • Fresh breakout • Probability: Moderate (50-55% reach 1.0x) • Strategy: Conservative position sizing 10:30-12:00 PM (Mid-Morning): • Momentum established • Volume still healthy • Probability: High (60-65% reach 1.0x) • Strategy: Standard position sizing 12:00-2:00 PM (Lunch Doldrums): • Volume dries up • Whipsaw risk increases • Probability: Low (40-45% reach 1.0x) • Strategy: Avoid new entries OR reduce size 50% 2:00-4:00 PM (Afternoon Session): • Late-day positioning • EOD squeezes possible • Probability: Moderate-High (55-60%) • Strategy: Watch for IB break—if trending all day, follow [b>Phase 4: Live Micro-Sizing (Month 2) [/b> [b>Goal: [/b> Validate paper trading results with minimal risk [b>Setup: [/b> • 10-20% of intended full position size • Take ONLY A+ and A grade setups • Follow stop loss and targets religiously [b>Execution: [/b> • Execute from alerts OR from dashboard setup box • Entry: Close of signal bar OR next bar market order • Stop: Use exact stop from setup (don't widen) • Targets: Scale out at T1/T2/T3 as indicated [b>Tracking: [/b> • Log every trade: Entry, Exit, Grade, Outcome, Day Type • Calculate: Win rate, Average R-multiple, Max consecutive losses • Compare to paper trading results (should be within 15%) [b>Red Flags: [/b> • Win rate <45%: System not suitable for this instrument/timeframe • Major divergence from paper trading: Execution issues (slippage, late entries, emotional exits) • Max consecutive losses >8: Hitting rough patch OR market regime changed [b>Phase 5: Scaling Up (Months 3-6) [b>Goal: [/b> Gradually increase to full position size [b>Progression: [/b> • Month 3: 25-40% size (if micro-sizing profitable) • Month 4: 40-60% size • Month 5: 60-80% size • Month 6: 80-100% size [b>Milestones Required to Scale Up: [/b> • Minimum 30 trades at current size • Win rate ≥48% • Profit factor ≥1.2 • Max drawdown <20% • Emotional control (no revenge trading, no FOMO) [b>Advanced Techniques: [b>Multi-Timeframe ORB: Assumes first 30-60 minutes establish value. Violation: Market opens after major news, price discovery continues for hours (opening range meaningless). 2. [b>Volume Indicates Conviction: ES, NQ, RTY, SPY, QQQ—high liquidity, clean ORB formation, reliable extensions • [b>Large-Cap Stocks: AAPL, MSFT, TSLA, NVDA (>$5B market cap, >5M daily volume) • [b>Liquid Futures: CL (crude oil), GC (gold), 6E (EUR/USD), ZB (bonds)—24hr markets benefit from session ORBs • [b>Major Forex Pairs: [/b> EUR/USD, GBP/USD, USD/JPY—London/NY session ORBs work well [b>Performs Poorly On: [/b> • [b>Illiquid Stocks: <$1M daily volume, wide spreads, gappy price action • [b>Penny Stocks: [/b> Manipulated, pump-and-dump, no real price discovery • [b>Low-Volume ETFs: Exotic sector ETFs, leveraged products with thin volume • [b>Crypto on Sketchy Exchanges: Wash trading, spoofing invalidates volume analysis • [b>Earnings Days: [/b> ORB completes before earnings release, then completely resets (useless) • Binary Event Days: FDA approvals, court rulings—discontinuous price action [b>Known Weaknesses: [/b> • [b>Slow Starts: ORB doesn't complete until 10:00 AM (30-min ORB). Early morning traders have no signals for 30 minutes. Consider using 15-minute ORB if this is problematic. • [b>Failure Detection Lag: [/b> Failed breakout requires 3+ bars to confirm. By the time system signals reversal, price may have already moved significantly back inside range. Manual traders watching in real-time can enter earlier. • [b>Extension Overshoot: [/b> System projects extensions mathematically (1.5x, 2.0x, etc.). Actual moves may stop short (1.3x) or overshoot (2.2x). Extensions are targets, not magnets. • [b>Day Type Misclassification: [/b> Early in session, day type is "Developing." By the time it's classified definitively (often 11:00 AM+), half the day is over. Strategy adjustments happen late. • [b>Gap Assumptions: [/b> System assumes gaps want to fill. Strong trend days never fill gaps (gap becomes support/resistance forever). Blindly trading toward gaps can backfire on trend days. • [b>Volume Data Quality: Forex doesn't have centralized volume (uses tick volume as proxy—less reliable). Crypto volume is often fake (wash trading). Volume confirmation less effective on these instruments. • [b>Multi-Session Complexity: [/b> When using Asian/London/NY ORBs simultaneously, chart becomes cluttered. Requires discipline to focus on relevant session for current time. [b>Risk Factors: [/b> • [b>Opening Gaps: Large gaps (>2%) can create distorted ORBs. Opening range might be unusually wide or narrow, making extensions unreliable. • [b>Low Volatility Environments:[/b> When VIX <12, opening ranges can be tiny (0.2-0.3%). Extensions are equally tiny. Profit targets don't justify commission/slippage. • [b>High Volatility Environments:[/b> When VIX >30, opening ranges are huge (2-3%+). Extensions project unrealistic targets. Failed breakouts happen faster (volatility whipsaw). • [b>Algorithm Dominance:[/b> In heavily algorithmic markets (ES during overnight session), ORB levels can be manipulated—algos pin price to ORB high/low intentionally. Breakouts become stop-runs rather than genuine directional moves. [b>⚠️ RISK DISCLOSURE[/b> Trading futures, stocks, options, forex, and cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Opening Range Breakout strategies, while based on sound market structure principles, do not guarantee profits and can result in significant losses. The ORB Fusion indicator implements professional trading concepts including Opening Range theory, Market Profile Initial Balance analysis, Fibonacci extensions, and failed breakout reversal logic. These methodologies have theoretical foundations but past performance—whether backtested or live—is not indicative of future results. Opening Range theory assumes the first 30-60 minutes of trading establish a meaningful value area and that breakouts from this range signal directional conviction. This assumption may not hold during: • Major news events (FOMC, NFP, earnings surprises) • Market structure changes (circuit breakers, trading halts) • Low liquidity periods (holidays, early closures) • Algorithmic manipulation or spoofing Failed breakout detection relies on patterns of trapped participant behavior. While historically these patterns have shown statistical edges, market conditions change. Institutional algorithms, changing market structure, or regime shifts can reduce or eliminate edges that existed historically. Initial Balance classification (trend day vs rotation day vs normal day) is a heuristic framework, not a deterministic prediction. Day type can change mid-session. Early classification may prove incorrect as the day develops. Extension projections (1.272x, 1.5x, 1.618x, 2.0x, etc.) are probabilistic targets derived from Fibonacci ratios and empirical market behavior. They are not "support and resistance levels" that price must reach or respect. Markets can stop short of extensions, overshoot them, or ignore them entirely. Volume confirmation assumes high volume indicates institutional participation and conviction. In algorithmic markets, volume can be artificially high (HFT activity) or artificially low (dark pools, internalization). Volume is a proxy, not a guarantee of conviction. LTF precision sampling improves ORB accuracy by using 1-minute bars but introduces additional data dependencies. If 1-minute data is unavailable, inaccurate, or delayed, ORB calculations will be incorrect. The grading system (A+/A/B+/B/C/D) and confidence scores aggregate multiple factors (volume, VWAP, day type, IB expansion, gap context) into a single assessment. This is a mechanical calculation, not artificial intelligence. The system cannot adapt to unprecedented market conditions or events outside its programmed logic. Real trading involves slippage, commissions, latency, partial fills, and rejected orders not present in indicator calculations. ORB Fusion generates signals at bar close; actual fills occur with delay. Opening range forms during highest volatility (first 30 minutes)—spreads widen, slippage increases. Execution quality significantly impacts realized results. Statistics tracking (win rates, extension levels reached, day type distribution) is based on historical bars in your lookback window. If lookback is small (<50 bars) or market regime changed, statistics may not represent future probabilities. Users must independently validate system performance on their specific instruments, timeframes, and broker execution environment. Paper trade extensively (100+ trades minimum) before risking capital. Start with micro position sizing (5-10% of intended size) for 50+ trades to validate execution quality matches expectations. Never risk more than you can afford to lose completely. Use proper position sizing (0.5-2% risk per trade maximum). Implement stop losses on every single trade without exception. Understand that most retail traders lose money—sophisticated indicators do not change this fundamental reality. They systematize analysis but cannot eliminate risk. The developer makes no warranties regarding profitability, suitability, accuracy, reliability, or fitness for any purpose. Users assume full responsibility for all trading decisions, parameter selections, risk management, and outcomes. By using this indicator, you acknowledge that you have read, understood, and accepted these risk disclosures and limitations, and you accept full responsibility for all trading activity and potential losses. [b>═══════════════════════════════════════════════════════════════════════════════[/b> [b>CLOSING STATEMENT[/b> [b>═══════════════════════════════════════════════════════════════════════════════[/b> Opening Range Breakout is not a trick. It's a framework. The first 30-60 minutes reveal where participants believe value lies. Breakouts signal directional conviction. Failures signal trapped participants. Extensions define profit targets. Day types dictate strategy. Failed breakouts create the highest-probability reversals. ORB Fusion doesn't predict the future—it identifies [b>structure[/b>, detects [b>breakouts[/b>, recognizes [b>failures[/b>, and generates [b>probabilistic trade plans[/b> with defined risk and reward. The edge is not in the opening range itself. The edge is in recognizing when the market respects structure (follow breakouts) versus when it violates structure (fade breakouts). The edge is in detecting failures faster than discretionary traders. The edge is in systematic classification that prevents catastrophic errors—like fading a trend day or holding through rotation. Most indicators draw lines. ORB Fusion implements a complete institutional trading methodology: Opening Range theory, Market Profile classification, failed breakout intelligence, Fibonacci projections, volume confirmation, gap psychology, and real-time performance tracking. Whether you're a beginner learning market structure or a professional seeking systematic ORB implementation, this system provides the framework. "The market's first word is its opening range. Everything after is commentary." — ORB Fusion
อินดิเคเตอร์ Pine Script®
โดย DskyzInvestments
10
Round Number Analyzer v3Round Number Analyzer v3 is an indicator designed to analyze how price interacts with round number levels (levels spaced at fixed intervals in points or pips). The indicator does not generate entry/exit signals, but provides detailed statistics to better understand market dynamics around these key levels. ✨ Key Features Cross Counting: detects every time the price crosses a round number level (up = Long, down = Short). Continuations & Reversals: classifies each cross as: Continuation: the move continues in the same direction as the previous sequence. Reversal: the move changes direction compared to the previous sequence. Sequence Classification (L1…L5+): each level is labelled based on its position within the consecutive cross sequence: L1 = first level of the sequence, L2 = second consecutive, … L5+ = fifth or higher. Comprehensive Stats Table (top right corner): Total crosses (Long, Short, Totals). Total continuations + breakdown by L1…L5+. Total reversals + breakdown by L1…L5+. Percentages calculated against the proper denominator, displayed directly inside the cells next to the absolute values. Date range of analysis (user-defined). Customizable Step: Works in both points and pips, making the indicator suitable for indices and forex. ⚙️ Main Inputs Start date / End date → sets the analysis period. Step mode → Points or Pips. Step value → distance between round levels. Pip size → pip size (default = 0.0001, typical for forex). 📈 How to Interpret A high continuation percentage after L1–L2 suggests the market tends to extend multiple times beyond the first breakout levels. Higher reversal percentages at advanced levels (L4–L5+) may signal trend exhaustion. The analysis helps estimate the probability of continuation or reversal depending on how many consecutive levels have already been crossed. 🔎 Practical Applications Support for breakout or mean-reversion strategies. Comparative analysis across different markets (e.g. indices vs forex) or different time periods. 📝 Notes The indicator is timeframe-robust, as it accounts for multiple steps within the same candle, ensuring results do not depend on the selected timeframe (except for TradingView’s historical data limits). It does not provide automatic trading signals, but serves as a quantitative analysis tool to refine your strategies. --- Round Number Analyzer v3 è un indicatore pensato per analizzare come il prezzo interagisce con i livelli di round number (livelli a distanza fissa in punti o pips). L’indicatore non genera segnali di ingresso/uscita, ma fornisce statistiche dettagliate utili per comprendere la dinamica del mercato attorno a questi livelli. ✨ Funzionalità principali Conteggio dei Cross: rileva ogni volta che il prezzo attraversa un livello round (verso l’alto = Long, verso il basso = Short). Continuations & Reversals: classifica ogni attraversamento come: Continuation: il movimento prosegue nella stessa direzione della sequenza precedente. Reversal: il movimento inverte la direzione rispetto alla sequenza precedente. Classificazione per sequenza (L1…L5+): ogni livello è etichettato in base alla sua posizione nella sequenza di cross consecutivi: L1 = primo livello della sequenza, L2 = secondo consecutivo, … L5+ = quinto o superiore. Statistiche complete in tabella (in alto a destra): Cross totali (Long, Short, Totals). Continuations totali + breakdown per L1…L5+. Reversals totali + breakdown per L1…L5+. Percentuali calcolate sul denominatore corretto, mostrate direttamente dentro le celle accanto ai valori assoluti. Date range di analisi (impostabile dall’utente). Step personalizzabile: puoi lavorare sia in punti che in pips, così l’indicatore è adatto sia per indici che per forex. ⚙️ Input principali Start date / End date → imposta l’intervallo temporale di analisi. Step mode → punti o pips. Step value → ampiezza tra i livelli round. Pip size → dimensione del pip (default = 0.0001, tipico per il forex). 📈 Come interpretarlo Una percentuale di continuation molto alta dopo L1–L2 indica che il mercato tende a proseguire più volte oltre i primi livelli di breakout. Percentuali di reversal più elevate nei livelli avanzati (L4–L5+) possono suggerire esaurimento della spinta. L’analisi permette di stimare la probabilità che un movimento in corso continui o si inverta in base a quanti livelli sono già stati attraversati consecutivamente. 🔎 Applicazioni pratiche Supporto per strategie di breakout o mean reversion. Analisi comparativa tra mercati (es. indici vs forex) o tra periodi temporali diversi. 📝 Note L’indicatore è timeframe-robust: il conteggio tiene conto di multipli step dentro la stessa candela, così i risultati non dipendono dal timeframe scelto (salvo i limiti di caricamento storico di TradingView). Non fornisce segnali operativi automatici, ma è un tool di analisi quantitativa per affinare le proprie strategie.
อินดิเคเตอร์ Pine Script®
โดย steviatrades
Mean Reversion Indictor, Based on Standard Deviations Description: The Reversal Candle Mean Reversion Indicator is designed for traders seeking to identify potential reversal points in the market based on key price action and volatility. This indicator combines price action analysis (sweeping prior highs or lows) with mean reversion theory, highlighting opportunities where the price tests or touches a moving average's standard deviation bands. By focusing on these moments of price extremes, the indicator helps traders spot bullish and bearish reversal signals when the price retraces from volatile movements. These conditions often signal a return to the mean—an ideal setup for reversal traders who thrive on fading exaggerated price moves. How It Works: 1. Price Action Reversal Signal: * Bullish Reversal: The indicator flags a bullish signal when the current candle's low sweeps the prior candle's low, and the candle closes higher than the prior candle's close. * Bearish Reversal: The indicator flags a bearish signal when the current candle's high sweeps the prior candle's high, and the candle closes lower than the prior candle's close. 2. Mean Reversion Confirmation: * Mean Reversion Signal is triggered when the price touches or tests the upper or lower bands, calculated using a user-selected moving average (SMA, EMA, WMA, VWMA, or Hull MA) and standard deviation. * The indicator combines price action and volatility, providing stronger reversal signals when the price reaches an extreme distance from the moving average. 3. Customization Options: * Moving Average Type: Choose from SMA, EMA, WMA, VWMA, or Hull MA. * Moving Average Length: Adjust the length of the moving average (default: 20). * Standard Deviation Multiplier: Set the number of standard deviations for the volatility bands (default: 2.0). * Custom Candle Colors: Choose custom colors for bullish and bearish reversal candles to easily spot signals. How to Use for Trading Reversals: 1. Identify Extremes: * Watch for candles where the price tests or touches the standard deviation bands. These are key moments when the price has moved significantly from the moving average, indicating a potential overbought or oversold condition. 2. Look for Reversals: * When the price tests a band and simultaneously forms a bullish reversal pattern (sweeping the prior low and closing higher), it signals a potential mean reversion to the upside. * When the price tests a band and forms a bearish reversal pattern (sweeping the prior high and closing lower), it signals a potential mean reversion to the downside. 3. Entry Points: * Long Trades: Enter a long trade after a bullish signal appears (green candle) near the lower band, indicating a likely price reversal back towards the mean. * Short Trades: Enter a short trade after a bearish signal appears (red candle) near the upper band, indicating a likely price pullback. 4. Exit Strategy: * Set a profit target at the moving average (the mean) or a specific price level based on your strategy. * Consider using a trailing stop to capture additional profit in case of a stronger reversal beyond the mean. 5. Risk Management: * Place stops just below the low of the bullish reversal candle or just above the high of the bearish reversal candle to manage risk efficiently.
อินดิเคเตอร์ Pine Script®
โดย thinkCNE
Geometric Trend Angle [AstroHub]This script, "Geometric Trend Angle," is designed to identify trend reversals based on the geometric angle of the price chart. Here's a detailed explanation of its originality, functionality, and usage: Originality and Usefulness: The uniqueness of this script lies in its approach to trend reversal detection through the calculation of the geometric trend angle. Unlike traditional methods, this script combines the analysis of the angle of the price movement with specific conditions for identifying potential trend reversals. How it Works: Length and Trend Angle: The user sets the "Length" parameter, determining the period for calculating the trend angle. The script then computes the trend angle, representing the change in prices over the specified period. Trend Reversal: The script identifies potential trend reversals when the trend angle changes from positive to negative, and the current closing price is higher than the previous closing price. Green Reversal: Additionally, the script looks for instances where the trend angle changes from negative to positive, and the current closing price is lower than the previous closing price, indicating a potential reversal to the downside. Graphical Representation: The script visually highlights the identified reversal points on the chart with labels ("Trend Reversal" and "Green Reversal") and draws a line from the reversal point for better visualization. Alerts: Traders are alerted to potential trend reversals and green reversals, allowing for timely responses to changing market dynamics. How to Use: Apply the script to your TradingView chart. Customize the "Length" parameter based on your preference and analysis. Observe the colored candles and graphical elements to identify potential trend reversals. Pay attention to alerts for timely notifications of reversal signals. Conclusion: The "Geometric Trend Angle" script provides a unique perspective on trend reversals, combining geometric angle analysis with specific conditions for improved accuracy. Traders can use it as part of their overall analysis to make informed decisions in the dynamic market environment.
อินดิเคเตอร์ Pine Script®
โดย AstroHub
1
OBV with MA & Bollinger Bands by Marius1032OBV with MA & Bollinger Bands by Marius1032 This script adds customizable moving averages and Bollinger Bands to the classic OBV (On Balance Volume) indicator. It helps identify volume-driven momentum and trend strength. Features: OBV-based trend tracking Optional smoothing: SMA, EMA, RMA, WMA, VWMA Optional Bollinger Bands with SMA Potential Combinations and Trading Strategies: Breakouts: Look for price breakouts from the Bollinger Bands, and confirm with a rising OBV for an uptrend or falling OBV for a downtrend. Trend Reversals: When the price touches a Bollinger Band, examine the OBV for divergence. A bullish divergence (price lower low, OBV higher low) near the lower band could signal a reversal. Volume Confirmation: Use OBV to confirm the strength of the trend indicated by Bollinger Bands. For example, if the BBs indicate an uptrend and OBV is also rising, it reinforces the bullish signal. 1. On-Balance Volume (OBV): Purpose: OBV is a momentum indicator that uses volume flow to predict price movements. Calculation: Volume is added on up days and subtracted on down days. Interpretation: Rising OBV suggests potential upward price movement. Falling OBV suggests potential lower prices. Divergence: Divergence between OBV and price can signal potential trend reversals. 2. Moving Average (MA): Purpose: Moving Averages smooth price fluctuations and help identify trends. Combination with OBV: Pairing OBV with MAs helps confirm trends and identify potential reversals. A crossover of the OBV line and its MA can signal a trend reversal or continuation. 3. Bollinger Bands (BB): Purpose: BBs measure market volatility and help identify potential breakouts and trend reversals. Structure: They consist of a moving average (typically 20-period) and two standard deviation bands. Combination with OBV: Combining BBs with OBV allows for a multifaceted approach to market analysis. For example, a stock hitting the lower BB with a rising OBV could indicate accumulation and a potential upward reversal. Created by: Marius1032
อินดิเคเตอร์ Pine Script®
โดย Marius1032
UVR Crypto TrendINDICATOR OVERVIEW: UVR CRYPTO TREND The UVR Crypto Trend indicator is a custom-built tool designed specifically for cryptocurrency markets, utilizing advanced volatility, momentum, and trend-following techniques. It aims to identify trend reversals and provide buy and sell signals by analyzing multiple factors, such as price volatility(UVR), RSI (Relative Strength Index), CMF (Chaikin Money Flow), and EMA (Exponential Moving Average). The indicator is optimized for CRYPTO MARKETS only. KEY FEATURES AND HOW IT WORKS Volatility Analysis with UVR The UVR (Ultimate Volatility Rate) is a proprietary calculation that measures market volatility by comparing significant price extremes and smoothing the data over time. Purpose: UVR aims to reduce noise in low-volatility environments and highlight significant movements during higher-volatility periods. While it strives to improve filtering in low-volatility conditions, it does not guarantee perfect performance, making it a balanced and adaptable tool for dynamic markets like cryptocurrency. HOW UVR (ULTIMATE VOLATILITY RATE) IS CALCULATED UVR is calculated using a method that ensures precise measurement of market volatility by comparing price extremes across consecutive candles: Volatility Components: Two values are calculated to represent potential price fluctuations: The absolute difference between the current candle's high and the previous candle's low: Volatility Component 1=∣High−Low ∣ The absolute difference between the previous candle's high and the current candle's low: Volatility Component 2=∣High −Low∣ Volatility Ratio: The larger of the two components is selected as the Volatility Ratio, ensuring UVR captures the most significant movement: Volatility Ratio=max(Volatility Component 1,Volatility Component 2) Smoothing with SMMA: To stabilize the volatility calculation, the Volatility Ratio is smoothed using a Smoothed Moving Average (SMMA) over a user-defined period (e.g., 14 candles): UVR=(UVR(Previous)×(Period−1)+Volatility Ratio)/Period ​ This calculation ensures UVR adapts dynamically to market conditions, focusing on significant price movements while filtering out noise. RSI FOR MOMENTUM DETECTION RSI (Relative Strength Index) identifies overbought and oversold conditions. Trend Confirmation at the 50 Level RSI values crossing above 50 signal the potential start of an upward trend. RSI values crossing below 50 indicate the potential start of a downward trend. Key Reversals at Extreme Levels RSI detects trend reversals at overbought (>70) and oversold (<30) levels. For example: Overbought Trend Reversal: RSI >70 followed by bearish price action signals a potential downtrend. Oversold Trend Reversal: RSI <30 with bullish confirmation signals a potential uptrend. Rare Extreme RSI Readings Extreme levels, such as RSI <12 (oversold) or RSI >88 (overbought), are used to identify rare yet powerful reversals. ---HOW IT DIFFERS FROM OTHER INDICATORS--- Using UVR High and Low Values The Ultimate Volatility Rate (UVR) focuses on analyzing the high and low price ranges of the market to measure volatility. Unlike traditional trend indicators that rely primarily on momentum or moving average crossovers, UVR leverages price extremes to better identify trend reversals. This approach ensures fewer false signals during low-volatility phases and more accurate trend detection during high-volatility conditions. UVR as the Core Component The indicator is fundamentally built around UVR as the primary filter, while supporting tools like RSI (momentum detection), CMF (volume confirmation), and EMA (trend validation) complement its functionality. By integrating these additional components, the indicator provides a multidimensional analysis rather than relying solely on a single approach. Dynamic Adaptation to Volatility UVR dynamically adjusts to market conditions, striving to improve filtering in low-volatility phases. While not flawless, this approach minimizes false signals and adapts more effectively to varying levels of market activity. Trend Clouds for Visual Guidance UVR-based dynamic clouds visually mark high and low price areas, highlighting potential consolidation or retracement zones. These clouds serve as guides for setting stop-loss or take-profit levels, offering clear risk management strategies. BUY AND SELL SIGNAL LOGIC BUY CONDITIONS Momentum-Based Buy-Entry RSI >50, CMF >0, and the close price is above EMA50. The price difference between open and close exceeds a threshold based on UVR. Oversold Reversal RSI <30 and CMF >0 with a strong bullish candle (close > open and UVR-based sensitivity filter). Breakout Confirmation The price breaks above a previously identified resistance, with conditions for RSI and CMF supporting the breakout. Reversal from Oversold RSI Extreme RSI <12 on the previous candle with a strong rebound on the current candle with UVR confirmation filter. SELL CONDITIONS Momentum-Based Sell-Entry RSI <50, CMF <0, and the close price is below EMA50. The price difference between open and close exceeds the UVR threshold. Overbought Reversal RSI >70 with bearish price action (open > close and UVR-based sensitivity filter). Breakdown Confirmation The price breaks below a previously identified support, with RSI and CMF supporting the breakdown. Reversal from Overbought RSI Extreme RSI >88 on the previous candle with a bearish confirmation on the current candle with UVR confirmation filter. BUY AND SELL SIGNALS VISUALIZATION The UVR Crypto Trend Indicator visually represents buy and sell conditions using dynamic plots, making it easier for traders to interpret and act on the signals. Below is an explanation of the visual representation: Buy Signals and Visualization Signal Trigger: A buy signal is generated when one of the defined Buy Conditions is met (e.g., RSI >50, CMF >0, price above EMA50). Visual Representation: A blue upward arrow appears at the candle where the buy condition is triggered. A blue cloud forms above the price candles, representing the strength of the bullish trend. The cloud dynamically adapts to market volatility, using the UVR calculation to mark support zones or consolidation levels. Purpose of the Blue Cloud: It acts as a visual guide for price movements and stay horizontal when the trend is not moving up Sell Signals and Visualization Signal Trigger: A sell signal is generated when one of the defined Sell Conditions is met (e.g., RSI <50, CMF <0, price below EMA50). Visual Representation: A red downward arrow appears at the candle where the sell condition is triggered. A red cloud forms below the price candles, representing the strength of the bearish trend. Like the blue cloud, it uses the UVR calculation to dynamically mark resistance zones or potential retracement levels. Purpose of the Red Cloud: It acts as a visual guide for price movements and stay horizontal when the trend is not moving down. CONCLUSION The UVR Crypto Trend indicator provides a powerful tool for trend reversal detection by combining volatility analysis, momentum confirmation, and trend-following techniques. Its unique use of the Ultimate Volatility Rate (UVR) as a core element, supported by proven indicators like RSI, CMF, and EMA, ensures reliable and actionable signals tailored for the crypto market's dynamic nature. By leveraging UVR’s high and low price range analysis, it achieves a level of precision that traditional indicators lack, making it a high-performing system for cryptocurrency traders.
อินดิเคเตอร์ Pine Script®
โดย ebecihalil
BX-Volume Trend and OscillatorBX-Volume Trend and Oscillator (VTO) This is my second indicator. I created this indicator for myself. I was inspired by the indicators created by Bjorgum, Duyck and QuantTherapy and decided to create multiple indicators that either work well combined with their indicators or something new that applies some of their indicator concepts. I decided to share this because I believe in learning and earing together as a community. I will later share the rest of the indicators I have created. If you guys have any questions or suggestions write them. The BX-Volume Trend and Oscillator (VTO) is a comprehensive trading indicator designed to help traders identify trends, momentum shifts, and potential reversals by analyzing volume and price action through various metrics. This indicator combines relative volume analysis with custom Xtrender oscillators and moving averages to provide valuable insights into market behavior. Image: BX-Volume Trend and Oscillator (VTO) Features: Relative Volume Analysis: Measures the current volume relative to the average volume over a specified period, helping traders understand if the current trading activity is unusually high or low. Short-Term Xtrender Oscillator: This oscillator analyzes the difference between two short-term Exponential Moving Averages (EMAs) and smooths it with a custom RSI, highlighting short-term trends and potential reversal points. Long-Term Xtrender Oscillator: Similar to the short-term oscillator but uses longer-term EMAs and RSI for identifying more sustained trends and shifts. T3 Moving Average: A smoothed version of the Xtrender oscillator that helps in detecting trend changes more clearly. Volume Trend Plot: Shows the smoothed relative volume to understand how trading activity aligns with the trend. Visual Indicators: Uses colors and shapes to highlight significant changes and trends, such as circles to mark potential reversal points. How to Use the Indicator Analyze Relative Volume: Relative Volume Plot: The smoothed relative volume is displayed in white, helping you assess if current trading volumes are above or below the historical average. High Relative Volume: Indicates strong trading interest, which could support or contradict the prevailing trend. Image above: is set to daily timeframe Monitor Short-Term Xtrender Oscillator Short-Term Xtrender: Plotted as a column histogram with colors changing from green to red based on the oscillator's movement and momentum. Green and lime colors indicate bullish trends, while maroon and red suggest bearish conditions. Smoothed Short-Term Xtrender (T3): Plotted as a line that adjusts color based on the short-term Xtrender's trend. The line changes color to match the histogram's color, providing a clearer view of momentum shifts. Reversal Markers: Small circles indicate potential short-term trend reversals, where changes in the T3 moving average suggest shifts in momentum. Assess Long-Term Xtrender Oscillator: Long-Term Xtrender: Plotted as a histogram, with color changes similar to the short-term Xtrender. It shows longer-term trends and shifts. Color Indicators: Lime and green colors suggest an uptrend, while red and maroon indicate a downtrend. Look for Zero Line Crossings: The zero line serves as a reference point. Crossings above the zero line may indicate bullish trends, while crossings below may signal bearish trends. Image above: is set to daily timeframe, and it showcases the Short-Term Xtrender (T3) applied. Image above: is set to 8hr timeframe: Using the lower timeframe you can spot better details of pullbacks and potential reversals. Example of Use: Identify Trend and Momentum: Use the combination of the short-term and long-term Xtrender oscillators to gauge the prevailing market trend. For instance, if both oscillators are above zero and showing upward momentum, it suggests a strong bullish trend. Spot Reversals: Observe the short-term Xtrender and its smoothed T3 version. If the T3 line changes direction and crosses through previous peaks and troughs, it could signal a potential reversal. Volume Confirmation: Check the relative volume and its smoothed version to confirm the strength of price movements. Significant changes in volume can validate the trends indicated by the Xtrender oscillators. By combining these elements, the BX-Volume Trend and Oscillator (VTO) provides a holistic view of market dynamics, helping traders make more informed decisions based on trend strength, potential reversals, and volume activity. Lastly, my Scripts/Indicators/Ideas /Systems that I share are only for educational purposes!
อินดิเคเตอร์ Pine Script®
โดย Debis03
8
Goldmine Wealth Builder - DKK/SKKGoldmine Wealth Builder Version 1.0 Introduction to Long-Term Investment Strategies: DKK, SKK1 and SKK2 In the dynamic realm of long-term investing, the DKK, SKK1, and SKK2 strategies stand as valuable pillars. These strategies, meticulously designed to assist investors in building robust portfolios, combine the power of Super Trend, RSI (Relative Strength Index), Exponential Moving Averages (EMAs), and their crossovers. By providing clear alerts and buy signals on a daily time frame, they equip users with the tools needed to make well-informed investment decisions and navigate the complexities of the financial markets. These strategies offer a versatile and structured approach to both conservative and aggressive investment, catering to the diverse preferences and objectives of investors. Each part of this strategy provides a unique perspective and approach to the accumulation of assets, making it a versatile and comprehensive method for investors seeking to optimize their portfolio performance. By diligently applying this multi-faceted approach, investors can make informed decisions and effectively capitalize on potential market opportunities. DKK Strategy for ETFs and Funds: The DKK system is a strategy designed for accumulating ETFs and Funds as long-term investments in your portfolio. It simplifies the process of identifying trend reversals and opportune moments to invest in listed ETFs and Funds, particularly during bull markets. Here's a detailed explanation of the DKK system: Objective: The primary aim of the DKK system is to build a long-term investment portfolio by focusing on ETFs and Funds. It facilitates the identification of stocks that are in the process of reversing their trends, allowing investors to benefit from upward price movements in these financial instruments. Stock Selection Criteria: The DKK system employs specific criteria for selecting ETFs and Funds: • 200EMA (Exponential Moving Average): The system monitors whether the prices of ETFs and Funds are consistently below the 200-day Exponential Moving Average. This is considered an indicator of weakness, especially on a daily time frame. • RSI (Relative Strength Index): The system looks for an RSI value of less than 40. An RSI below 40 is often seen as an indication of a weak or oversold condition in a financial instrument. Alert Signal: Once the DKK system identifies ETFs and Funds meeting these criteria, it provides an alert signal: • Red Upside Triangle Sign: This signal is automatically generated on the daily chart of ETFs and Funds. It serves as a clear indicator to investors that it's an opportune time to accumulate these financial instruments for long-term investment. It's important to note that the DKK system is specifically designed for ETFs and Funds, so it should be applied to these types of investments. Additionally, it's recommended to track index ETFs and specific types of funds, such as REITs (Real Estate Investment Trusts) and INVITs (Infrastructure Investment Trusts), in line with the DKK system's approach. This strategy simplifies the process of identifying investment opportunities within this asset class, particularly during periods of market weakness. SKK1 Strategy for Conservative Stock Investment: The SKK 1 system is a stock investment strategy tailored for conservative investors seeking long-term portfolio growth with a focus on stability and prudent decision-making. This strategy is meticulously designed to identify pivotal market trends and stock price movements, allowing investors to make informed choices and capitalize on upward market trends while minimizing risk. Here's a comprehensive overview of the SKK 1 system, emphasizing its suitability for conservative investors: Objective: The primary objective of the SKK 1 system is to accumulate stocks as long-term investments in your portfolio while prioritizing capital preservation. It offers a disciplined approach to pinpointing potential entry points for stocks, particularly during market corrections and trend reversals, thereby enabling you to actively participate in bullish market phases while adopting a conservative risk management stance. Stock Selection Criteria: The SKK 1 system employs a stringent set of criteria to select stocks for investment: • Correction Mode: It identifies stocks that have undergone a correction, signifying a decline in stock prices from their recent highs. This conservative approach emphasizes the importance of seeking stocks with a history of stability. • 200EMA (Exponential Moving Average): The system diligently analyses daily stock price movements, specifically looking for stocks that have fallen to or below the 200-day Exponential Moving Average. This indicator suggests potential overselling and aligns with a conservative strategy of buying low. Trend Reversal Confirmation: The SKK 1 system doesn't merely pinpoint stocks in correction mode; it takes an extra step to confirm a trend reversal. It employs the following indicators: • Short-term Downtrends Reversal: This aspect focuses on identifying the reversal of short-term downtrends in stock prices, observed through the transition of the super trend indicator from the red zone to the green zone. This cautious approach ensures that the trend is genuinely shifting. • Super Trend Zones: These zones are crucial for assessing whether a stock is in a bullish or bearish trend. The system consistently monitors these zones to confirm a potential trend reversal. Alert & Buy Signals: When the SKK 1 system identifies stocks that have reached a potential bottom and are on the verge of a trend reversal, it issues vital alert signals, aiding conservative investors in prudent decision-making: • Orange Upside Triangle Sign: This signal serves as a cautious heads-up, indicating that a stock may be poised for a trend reversal. It advises investors to prepare funds for potential investment without taking undue risks. • Green Upside Triangle Sign: This is the confirmation of a trend reversal, signifying a robust buy signal. Conservative investors can confidently enter the market at this point, accumulating stocks for a long-term investment, secure in the knowledge that the trend is in their favor. In summary, the SKK 1 system is a systematic and conservative approach to stock investing. It excels in identifying stocks experiencing corrections and ensures that investors act when there's a strong indication of a trend reversal, all while prioritizing capital preservation and risk management. This strategy empowers conservative investors to navigate the intricacies of the stock market with confidence, providing a calculated and stable path toward long-term portfolio growth. Note: The SKK1 strategy, known for its conservative approach to stock investment, also provides an option to extend its methodology to ETFs and Funds for those investors who wish to accumulate assets more aggressively. By enabling this feature in the settings, you can harness the SKK1 strategy's careful criteria and signal indicators to accumulate aggressive investments in ETFs and Funds. This flexible approach acknowledges that even within a conservative strategy, there may be opportunities for more assertive investments in assets like ETFs and Funds. By making use of this option, you can strike a balance between a conservative stance in your stock portfolio while exploring an aggressive approach in other asset classes. It offers the versatility to cater to a variety of investment preferences, ensuring that you can adapt your strategy to suit your financial goals and risk tolerance. SKK 2 Strategy for Aggressive Stock Investment: The SKK 2 strategy is designed for those who are determined not to miss significant opportunities within a continuous uptrend and seek a way to enter a trend that doesn't present entry signals through the SKK 1 strategy. While it offers a more aggressive entry approach, it is ideal for individuals willing to take calculated risks to potentially reap substantial long-term rewards. This strategy is particularly suitable for accumulating stocks for aggressive long-term investment. Here's a detailed description of the SKK 2 strategy: Objective: The primary aim of the SKK 2 strategy is to provide an avenue for investors to identify short-term trend reversals and seize the opportunity to enter stocks during an uptrend, thereby capitalizing on a sustained bull run. It acknowledges that there may not always be clear entry signals through the SKK 1 strategy and offers a more aggressive alternative. Stock Selection Criteria: The SKK 2 strategy utilizes a specific set of criteria for stock selection: 1. 50EMA (Exponential Moving Average): It targets stocks that are trading below the 50-day Exponential Moving Average. This signals a short-term reversal from the top and indicates that the stock is in a downtrend. 2. RSI (Relative Strength Index): The strategy considers stocks with an RSI of less than 40, which is an indicator of weakness in the stock. Alert Signals: The SKK 2 strategy provides distinct alert signals that facilitate entry during an aggressive reversal: • Red Downside Triangle Sign: This signal is triggered when the stock is below the 50EMA and has an RSI of less than 40. It serves as a clear warning of a short-term reversal from the top and a downtrend, displayed on the daily chart. • Purple Upside Triangle Sign: This sign is generated when a reversal occurs through a bullish candle, and the RSI is greater than 40. It signifies the stock has bottomed out from a short-term downtrend and is now reversing. This purple upside triangle serves as an entry signal on the chart, presenting an attractive opportunity to accumulate stocks during a strong bullish phase, offering a chance to seize a potentially favorable long-term investment. In essence, the SKK 2 strategy caters to aggressive investors who are willing to take calculated risks to enter stocks during a continuous uptrend. It focuses on identifying short-term reversals and provides well-defined signals for entry. While this strategy is more aggressive in nature, it has the potential to yield substantial rewards for those who are comfortable with a higher level of risk and are looking for opportunities to build a strong long-term portfolio. Introduction to Strategy Signal Information Chart This chart provides essential information on strategy signals for DKK, SKK1, and SKK2. By quickly identifying "Buy" and "Alert" signals for each strategy, investors can efficiently gauge market conditions and make informed decisions to optimize their investment portfolios. In Conclusion These investment strategies, whether conservative like DKK and SKK1 or more aggressive like SKK2, offer a range of options for investors to navigate the complex world of long-term investments. The combination of Super Trend, RSI, and EMAs with their crossovers provides clear signals on a daily time frame, empowering users to make well-informed decisions and potentially capitalize on market opportunities. Whether you're looking for stability or are ready to embrace more risk, these strategies have something to offer for building and growing your investment portfolio.
อินดิเคเตอร์ Pine Script®
โดย Deepak-Patil
1
VWMA True Range | Lyro RSVWMA True Range | Lyro RS This script is a hybrid technical analysis tool designed to identify trends and spot potential reversals. It employs a consensus-based system that uses multiple smoothed, Volume-Weighted Moving Averages (VWMA) to generate both trend-following and counter-trend signals. Understanding the Indicator's Components The indicator plots a main line on a separate pane and provides visual alerts directly on the chart. The Main Line: This line represents a smoothed average of momentum scores derived from multiple VWMAs. Its direction and value are the foundation of the analysis. Signal Generation: The tool provides two distinct types of signals: Trend Signals: These trend-following signals ("⬆️Long" / "⬇️Short") activate when the indicator's consensus reaches a pre-set strength threshold, indicating sustained momentum in one direction. Reversal Signals: These counter-trend alerts ("📈Oversold" / "📉Overbought") trigger when the main line breaks a previous period's level, hinting at exhaustion and a potential short-term reversal. Visual Alerts: Colored Background: The indicator's background highlights during strong trend signals for added visual emphasis. Chart Shapes: Small circles appear on the main chart to mark where potential reversals are detected. Colored Candles: You can choose to color the price candles to reflect the current trend signal. Information Table: A compact table provides an at-a-glance summary of all currently active signals. Suggested Use and Interpretation Here are a few ways to incorporate this indicator into your analysis: Following the Trend: Use the "Long" or "Short" trend signals to align your trades with the prevailing market momentum. Spotting Reversals: Watch for "Oversold" or "Overbought" reversal signals, often accompanied by chart shapes, to identify potential market turning points. Combining Signals: Use the primary trend signal for context and look for reversal signals that may indicate a pullback within the larger trend, potentially offering favorable entry points. Customization Options: You can tailor the indicator's behavior and appearance through several settings: Core Settings: Adjust the Calculation Period and Smooth Length to make the main line more or less responsive to price movements. Signal Thresholds: Fine-tune the Long threshold and Short threshold to control how easily trend signals are triggered. Visual Settings: Toggle various visual elements like the indicator band, candle coloring, and the information table on or off. Table Settings: Customize where the information table appears and its size to suit your chart layout. ⚠️Disclaimer This indicator is a tool for technical analysis and does not guarantee future results. It should be used as part of a comprehensive trading strategy that includes other analysis techniques and strict risk management. The creators are not responsible for any financial decisions made based on its signals.
อินดิเคเตอร์ Pine Script®
โดย LyroRS
2
RSI of Accumulation/DistributionHow to Use the RSI of Accumulation/Distribution Indicator: 1. Identify Overbought/Oversold Conditions: Overbought: When the RSI of the ADL is above 70, it indicates that the asset may be overbought and could be due for a pullback or correction. Oversold: When the RSI of the ADL is below 30, it suggests that the asset may be oversold and could be poised for a rebound. 2. Look for Divergences: Bullish Divergence: If the price is making lower lows while the RSI of the ADL is making higher lows, it can signal a potential reversal to the upside. Bearish Divergence: If the price is making higher highs while the RSI of the ADL is making lower highs, it can indicate a potential reversal to the downside. 3. Confirm Trend Strength: Use the RSI of the ADL to confirm the strength of a trend. For example, if the RSI is consistently above 50 during an uptrend, it suggests strong buying pressure and the trend is likely to continue. Conversely, if the RSI is consistently below 50 during a downtrend, it indicates strong selling pressure and the trend is likely to persist. 4. Monitor for Reversals: When the RSI of the ADL crosses above 50, it can signal a potential bullish reversal. When the RSI of the ADL crosses below 50, it can signal a potential bearish reversal. Is It Worth It? The RSI of the Accumulation/Distribution Line can be a valuable tool for traders looking to gain insights into market momentum and trend strength. Here are a few reasons why it might be worth considering: 1. Volume and Price Combination: By combining price action (RSI) with volume-based analysis (ADL), this indicator provides a more comprehensive view of market dynamics. 2. Divergence Detection: It helps identify divergences between price and volume, which can be early signals of potential reversals. 3. Trend Confirmation: It offers additional confirmation of trend strength and potential reversal points, helping traders make more informed decisions. However, like any indicator, it's important to use it in conjunction with other analysis methods and not rely on it solely for trading decisions. Backtesting the indicator on historical data and combining it with other technical analysis tools can improve its effectiveness. Feel free to test the script in TradingView and see how it performs in different market conditions. If you have any specific questions or need further assistance, let me know! 😊
อินดิเคเตอร์ Pine Script®
โดย GTR511
Curved Smart Money Concepts Probability (Zeiierman)█ Overview The Curved Smart Money Concepts Probability indicator, developed by Zeiierman, is a sophisticated trading tool designed to leverage the principles of Smart Money trading. This indicator identifies key market structure points and adapts to changing market conditions, providing traders with actionable insights into market trends and potential reversals. The trading tool stands out due to its unique curved structure and advanced probability features, which enhance its effectiveness and usability for traders. █ How It Works The indicator operates by analyzing market data to identify pivotal moments where institutional investors might be influencing price movements. It employs a combination of adaptive trend lengths, multipliers for sensitivity adjustments, and pivot periods to accurately capture market structure shifts. The indicator calculates upper and lower bands based on adaptive sizes and identifies zones of overbought (premium) and oversold (discount) conditions. Key Features of Probability Calculations The Curved Smart Money Concepts Probability indicator integrates sophisticated probability calculations to enhance trading decision-making: Win/Loss Tracking: The indicator tracks the number of successful (win) and unsuccessful (loss) trades based on the identified market structure points (ChoCH, SMS, BMS). This provides a historical context of the indicator's performance. Probability Percentages: For each market structure point (ChoCH, SMS, BMS), the indicator calculates the probability of the next move being successful or not. This is presented as a percentage, giving traders a quantifiable measure of confidence in the signals. Dynamic Adaptation: The probability calculations adapt to market conditions by considering the frequency and success rate of the signals, allowing traders to adjust their strategies based on the indicator’s historical accuracy. Visual Representation: Probabilities are displayed on the chart, helping traders quickly assess the likelihood of future price movements based on past performance. Key benefits of the Curved Structure The Curved Smart Money Concepts Probability indicator features a unique curved structure that offers several advantages over traditional linear structures: Noise Reduction: The curved structure smooths out short-term market fluctuations, reducing the noise often seen in linear structures. This helps traders focus on the true trend direction rather than getting distracted by minor price movements. Adaptive Sensitivity: The curved structure adjusts its sensitivity based on market conditions. This means it can effectively capture both short-term and long-term trends by dynamically adapting to changes in market volatility, something linear structures struggle with. Enhanced Trend Detection: By providing a more gradual transition between market phases, the curved structure helps in identifying trends more accurately. This is particularly useful in volatile markets where linear structures might give false signals due to their rigid nature. Improved Market Structure Analysis: The curved structure's ability to adapt and smooth out irregularities provides a clearer picture of the overall market structure. This clarity is essential for identifying premium and discount zones, as well as mid-range support and resistance levels, which are crucial for effective ICT Smart Money Trading. █ Terminology ChoCH (Change of Character): Indicates a potential reversal in market direction. It is identified when the price breaks a significant high or low, suggesting a shift from a bullish to bearish trend or vice versa. SMS (Smart Money Shift): Represents the transition phase in market structure where smart money begins accumulating or distributing assets. It typically follows a BMS and indicates the start of a new trend. BMS (Bullish/Bearish Market Structure): Confirms the trend direction. Bullish Market Structure (BMS) confirms an uptrend, while Bearish Market Structure (BMS) confirms a downtrend. It is characterized by a series of higher highs and higher lows (bullish) or lower highs and lower lows (bearish). Premium: A zone where the price is considered overbought. It is calculated as the upper range of the current market structure and indicates a potential area for selling or shorting. Mid Range: The midpoint between the high and low of the market structure. It often acts as a support or resistance level, helping traders identify potential reversal or continuation points. Discount: A zone where the price is considered oversold. It is calculated as the lower range of the current market structure and indicates a potential area for buying or going long. █ How to Use Identifying Trends and Reversals: Traders can use the indicator to identify the overall market trend and potential reversal points. By observing the ChoCH, SMS, and BMS signals, traders can gauge whether the market is transitioning into a new trend or continuing the current trend. Example Strategies ⚪ Trend Following Strategy: Identify the current market trend using BMS signals. Enter a trade in the direction of the trend when the price retraces to the mid-range zone. Set a stop-loss just below the mid-range (for long trades) or above the mid-range (for short trades). Take profit in the premium/discount zone or when a ChoCH signal indicates a potential reversal. ⚪ Reversal Strategy: Wait for a ChoCH signal to identify a potential market reversal. Enter a trade in the direction of the new trend as indicated by the SMS signal. Set a stop-loss just beyond the recent high (for short trades) or low (for long trades). Take profit when the price reaches the premium or discount zone opposite to the entry. █ Settings Curved Trend Length: Determines the length of the trend used to calculate the adaptive size of the structure. Adjusting this length allows traders to capture either longer-term trends (for smoother curves) or short-term trends (for more reactive curves). Curved Multiplier: Scales the adjustment factors for the upper and lower bands. Increasing the multiplier widens the bands, reducing sensitivity to price changes. Decreasing it narrows the bands, making the structure more responsive. Pivot Period: Sets the period for capturing trends. A higher period captures broader trends, while a lower period focuses on short-term trends. Response Period: Adjusts the structure’s responsiveness. A low value focuses on short-term changes, while a high value smoothens the structure. Premium/Discount Range: Allows toggling between displaying the active range or previous range to analyze real-time or historical levels. Structure Candles: Enables the display of curved structure candles on the chart, providing a modified view of price action. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
อินดิเคเตอร์ Pine Script®
โดย Zeiierman
31
Volume Trend Swing Points | viResearchVolume Trend Swing Points | viResearch Conceptual Foundation and Innovation The "Volume Trend Swing Points" script is designed to identify pivotal swing points in market trends by leveraging the Price Volume Trend (PVT) indicator. This unique approach combines price and volume movements to highlight moments when a market may experience a significant trend reversal. By detecting the highest and lowest points of the PVT over customizable periods, this script aims to provide traders with valuable insights into potential bullish or bearish market behavior. The simplicity of the script, combined with its use of the PVT, offers an effective way for traders to anticipate key market swings based on both price and volume momentum. Technical Composition and Calculation The core of the "Volume Trend Swing Points" script is built around the Price Volume Trend (PVT) indicator, which adjusts price changes according to trading volume. The script focuses on identifying the highest and lowest values of the PVT over user-defined lookback periods: Price Volume Trend (PVT): The PVT is used to calculate the momentum of price movements, taking volume into account. By incorporating both price and volume, the PVT offers a more dynamic and responsive indicator of trend direction compared to price alone. Swing Point Detection: The script identifies the highest and lowest PVT values over user-defined lookback periods (x for highs and y for lows). When the current PVT matches either the highest or lowest value, it signals a potential trend reversal or continuation, depending on whether the high or low is detected. Entry and Exit Signals: A long signal (bullish) is generated when the current PVT matches the highest value over the lookback period, while a short signal (bearish) is generated when the current PVT matches the lowest value. These signals can be visualized with alerts and background colors. Features and User Inputs The "Volume Trend Swing Points" script allows traders to customize several parameters to better suit their trading strategies and market conditions: Lookback Periods (x and y): The script allows for two customizable lookback periods—one for detecting the highest PVT and another for the lowest. Adjusting these values can help refine the sensitivity of the swing points. Bar Coloring: The script includes an optional setting to color the bars based on detected bullish or bearish trends, making it easier to visualize potential market shifts. Background Colors: The background color changes dynamically based on whether a high or low swing point is detected, providing traders with a clear visual indication of potential trend reversals. Alerts: The script includes alert conditions for both long and short signals, enabling traders to set notifications for when potential swing points are detected. Practical Applications The "Volume Trend Swing Points" script is ideal for traders who focus on price and volume dynamics when making trading decisions. Its application is particularly useful in the following scenarios: Detecting Trend Reversals: By identifying the highest and lowest PVT values over a given period, the script can help traders spot potential reversal points, allowing for more timely entries or exits. Confirming Trend Continuations: When the PVT continues to match the highest or lowest values, it may indicate that the trend is likely to continue, helping traders maintain their positions with greater confidence. Volume-Based Trend Analysis: Since the script uses the PVT, it is particularly effective in markets where volume plays a significant role in driving price movements, offering insights that go beyond simple price-based indicators. Advantages and Strategic Value This script enhances traditional trend analysis by incorporating both price and volume through the PVT, providing a more comprehensive view of market momentum. The customizable lookback periods allow traders to adapt the script to different assets and timeframes, making it a versatile tool for swing trading and trend-following strategies. The visual cues provided by bar coloring and background shading help traders quickly identify potential market shifts, improving decision-making speed and accuracy. Summary and Usage Tips The "Volume Trend Swing Points" script is a straightforward yet powerful tool for identifying market reversals and trend continuations based on both price and volume. By adjusting the lookback periods, traders can fine-tune the script to better suit their trading style and the assets they are monitoring. The visual and alert features further enhance the script's usability, making it easy to incorporate into a trading strategy. Remember to backtest the script across various market conditions to better understand its performance. Past performance is not necessarily indicative of future results, so using this script in conjunction with other technical tools is recommended for optimal decision-making.
อินดิเคเตอร์ Pine Script®
โดย viResearch
10