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BB 25 with Barcolors6/19/15 I added confirmation highlight bars to the code. In other words, if a candle bounced off the lower Bollinger band, it needed one more close above the previous candle to confirm a higher probability that a change in investor sentiment has reversed. Same is true for upper Bollinger band bounces. I also added confirmation highlight bars to the 25 sma (the basis). The idea is that lower and upper bands are potential points of support and resistance. The same is true of the basis if a trend is to continue. Nothing moves in a straight line. As with any indicator, it is a tool to be used in conjunction with the art AND science of trading. As always, try the indicator for a time so that you are comfortable enough to use real money. This is designed to be used with "BB 100 with Barcolors"
Penunjuk Pine Script®
oleh rmwaddelljr
Liquidity Sweep Guardian (Universal % or point based) Liquidity Sweep Guardian - Complete User Guide ## Overview The **Liquidity Sweep Guardian** is a visual warning system designed to prevent premature counter-trend trades (fades) near Previous Day High (PDH) and Previous Day Low (PDL) levels. This indicator helps you avoid one of the most common trading mistakes: fading too early before liquidity sweeps complete. --- ## 🎯 Core Trading Principle ### **THE GOLDEN RULE: Don't Fade Until It's Unlocked** Price often **accelerates into key levels** to sweep liquidity before reversing. Trading against this momentum is extremely dangerous. **The Process:** 1. **Danger Zone** (Red/White Box) = ⚠️ **DO NOT FADE** - Sweep likely incoming 2. **Sweep Occurs** (Triangle marker appears) = Price penetrates the level 3. **Reclaim Happens** (Price returns above/below level) = Level is tested 4. **🔓 UNLOCKED** (Gold border, green label) = **NOW you may CONSIDER a fade** > **Important:** "UNLOCKED" means you may now *consider* a fade setup. It is NOT a trade signal itself. You still need your entry confirmation, risk management, and trade plan. --- ## 📊 Visual Elements Explained ### 1. **Danger Zone Boxes (Red Border by Default)** **Two types of zones around PDH/PDL:** - **Outer Danger Zone** (White fill): ±75pts (or 0.30%) around the level - Indicates proximity to a key level where sweeps commonly occur - Yellow/cautious trading zone - **Inner Critical Zone** (Black fill): ±25pts (or 0.10%) around the level - Highest probability area for liquidity sweep traps - Avoid fading here at all costs **What to do:** - When price enters these zones, **wait and watch** - Do not initiate counter-trend positions - Allow the sweep to play out ### 2. **Unlocked Zones (Gold Border #ffeb3b)** When a zone turns **gold/yellow** with green fill: - The level has been swept AND reclaimed - The liquidity grab is complete - You may now look for fade opportunities with proper confirmation ### 3. **PDH/PDL Lines** - **PDH Line** (Red): Previous Day High with price label - **PDL Line** (Green): Previous Day Low with price label - These are your key reference levels for the session ### 4. **Sweep Labels** **Triangle Markers (SWEEP):** - **Green Triangle** = Clean sweep (10-25pts penetration) - **Orange Triangle** = Extended sweep (25-50pts penetration) - **Red Triangle** = Deep penetration (50+ pts) - likely continuation, not reversal **Warning Labels:** - **⚠️ DEEP CONTINUATION?** = Penetration too deep, probably NOT a reversal setup **Unlock Labels:** - **🔓 LONG UNLOCKED** = PDL swept and reclaimed, may consider long fades - **🔓 SHORT UNLOCKED** = PDH swept and reclaimed, may consider short fades --- ## ⚙️ Settings Guide ### **Calculation Mode** **Use Percentage Mode (Default: ON)** - ✅ **Enabled**: Universal mode - works on NQ, ES, RTY, stocks, crypto, forex - ❌ **Disabled**: Fixed points mode - for specific instruments only **When to use each:** - **Percentage Mode**: Trading multiple instruments, or instruments with varying price levels - **Fixed Points Mode**: Single instrument focus (e.g., only trading NQ at current levels) ### **Danger Zone Settings** **Percentage Mode (Default for Universal Use):** - **Danger Zone**: 0.30% each side (≈75pts on NQ@25,000) - **Critical Zone**: 0.10% each side (≈25pts on NQ@25,000) **Fixed Points Mode (For NQ Specifically):** - **Danger Zone**: 75 points each side - **Critical Zone**: 25 points each side **Adjustment Tips:** - For more volatile instruments: Increase percentages/points - For less volatile instruments: Decrease percentages/points - For higher timeframes: Use wider zones - For lower timeframes: Use tighter zones ### **Sweep Classification** **What defines a "real" sweep:** - **Minimum**: 10pts / 0.04% - Shallow penetration may not grab enough liquidity - **Optimal**: 10-25pts / 0.04-0.10% - "Goldilocks zone" for reversal setups - **Extended**: 25-50pts / 0.10-0.20% - Deeper sweep, less reliable - **Continuation**: 50+pts / 0.20%+ - Too deep, likely NOT reversing **Max Bars for Reclaim**: 5 bars (default) - Price should reclaim the level relatively quickly - If it takes too long, the sweep may have failed ### **Visual Customization** **Box Settings:** - **Left Extension**: 60 bars (how far back the box extends) - **Right Extension**: 50 bars (how far forward the box extends) **Toggle Options:** - Show/Hide Danger Zone Boxes - Show/Hide PDH/PDL Lines - Show/Hide Price Labels on lines - Show/Hide Sweep Labels - Show/Hide Unlock Labels ### **Color Customization** All colors are fully customizable: - Danger Zone Fill & Border - Critical Zone Fill & Border - Unlocked Zone Fill & Border - PDH/PDL Line Colors - PDH/PDL Label Colors - Border Widths (1-5 pixels) - Line Widths (1-5 pixels) --- ## 🎓 Trading Strategy Examples ### **Example 1: Long Setup at PDL** 1. **Morning**: Price approaches PDL (danger zone appears) 2. **Don't Fade Yet**: Price enters critical zone - resist urge to buy 3. **Sweep**: Price drops 15pts below PDL (green triangle appears) 4. **Reclaim**: Price closes back above PDL within 3 bars 5. **🔓 UNLOCKED**: Gold border + "LONG UNLOCKED" label appears 6. **Trade Setup**: Now look for bullish confirmation (order flow, structure, etc.) ### **Example 2: Avoiding a Trap at PDH** 1. **Afternoon**: Price rallies into PDH danger zone 2. **Temptation**: You want to short here (it "looks toppy") 3. **Sweep**: Price breaks 50pts above PDH (red triangle + ⚠️ warning) 4. **Continuation**: Deep penetration suggests continuation, not reversal 5. **Result**: No unlock occurs, price keeps running higher - trap avoided! ### **Example 3: Failed Unlock (No Trade)** 1. Price sweeps PDL by 12pts (green triangle) 2. Price struggles to reclaim PDL, stays below for 10+ bars 3. No "UNLOCKED" label appears 4. **Correct Action**: Do not fade - sweep failed to reclaim --- ## 📱 Alerts The indicator includes built-in alerts for: - **Entering Danger Zones**: Get warned when price approaches PDH/PDL - **Sweep Detection**: Know immediately when a level is swept - **Unlock Signals**: Get notified when fade setups become available - **Continuation Warnings**: Alert when penetration suggests continuation **To Set Alerts:** 1. Right-click indicator → "Add Alert" 2. Select desired alert condition 3. Configure notification preferences --- ## ⚠️ Important Disclaimers ### **What This Indicator IS:** ✅ A visual warning system to prevent premature fades ✅ A tool to identify when liquidity sweeps have completed ✅ A framework for counter-trend trade timing ### **What This Indicator IS NOT:** ❌ A complete trading system ❌ An entry signal generator ❌ A guarantee of trade success ❌ A substitute for proper risk management ### **Always Remember:** - "UNLOCKED" = You may CONSIDER a fade (not a signal to trade) - You still need your own entry confirmation - You still need proper stop placement - You still need position sizing and risk management - Not every unlock leads to a successful trade - Market context and order flow still matter --- ## 🔧 Recommended Settings by Instrument ### **NQ (Nasdaq-100 E-mini Futures)** - Mode: Percentage or Fixed Points - Percentage: 0.30% / 0.10% (default) - Fixed Points: 75pts / 25pts (default) ### **ES (S&P 500 E-mini Futures)** - Mode: Percentage - Danger: 0.25% / Critical: 0.08% - Or Fixed Points: 15pts / 5pts ### **RTY (Russell 2000 E-mini Futures)** - Mode: Percentage - Danger: 0.35% / Critical: 0.12% - Or Fixed Points: 8pts / 3pts ### **Stocks (High Volume Large Caps)** - Mode: Percentage (recommended) - Danger: 0.20-0.40% / Critical: 0.08-0.15% - Adjust based on ATR and volatility ### **Crypto (BTC, ETH)** - Mode: Percentage (essential) - Danger: 0.40-0.60% / Critical: 0.15-0.20% - Higher volatility requires wider zones --- ## 💡 Pro Tips 1. **Use on Higher Timeframes**: Works best on 5min, 15min, 1hr charts 2. **Combine with Order Flow**: Use with footprint/delta for confirmation 3. **Watch Volume**: Strong volume on sweep = better reversal potential 4. **Consider Time of Day**: Sweeps during RTH often more reliable 5. **Multiple Timeframes**: Check if higher TF also shows unlock 6. **Don't Force Trades**: Not every session produces clean setups 7. **Journal Results**: Track which unlock types work best for you 8. **Respect Continuation Signals**: When indicator says "too deep," listen --- ## 🆘 Troubleshooting **Q: Box isn't showing up** A: Check that "Show Danger Zone Boxes" is enabled in Visual Settings **Q: No price on labels** A: Enable "Show Price Labels on Lines" in Visual Settings **Q: Zones seem too tight/wide** A: Adjust Danger Zone % or points based on current volatility **Q: Getting too many/too few unlocks** A: Adjust sweep classification thresholds (min/max penetration) **Q: Want thicker/thinner lines** A: Adjust line widths in "PDH/PDL Line Colors" section **Q: Colors not matching my chart theme** A: Fully customize all colors in the color settings groups --- ## 📚 Additional Resources - Study price action around PDH/PDL on your instruments - Learn about liquidity sweeps and stop hunts - Understand market structure and order flow - Practice identifying setups on replay/historical data - Keep a trading journal of unlock scenarios --- *Remember: The best trade is often the one you don't take. This indicator helps you avoid the trades you shouldn't take, so you can focus on the ones you should.*
Penunjuk Pine Script®
oleh DeLeBlanc
Statistcal Daily Profile & Ranges# Statistical Daily Profile & Ranges - TradingView Publication Guide ## Overview The **Statistical Daily Profile & Ranges** indicator is a comprehensive tool designed to analyze intraday session behavior and daily range characteristics. It combines Average Daily Range (ADR) projection levels with detailed session-by-session statistics and probability-based trading insights derived from historical price action patterns. ## What This Indicator Does This indicator provides traders with three core analytical components: 1. **ADR Projection Levels** - Dynamic support/resistance levels based on historical daily ranges 2. **Session Range Analysis** - Visual boxes and statistical breakdowns for four key trading sessions 3. **Dynamic Probability Display** - Real-time probability statistics based on overnight session relationships ## How It Works ### Average Daily Range (ADR) Calculation The indicator calculates the average daily range over a user-defined lookback period (default: 10 days) and projects this range from each day's opening price. This creates two key levels: - **ADR High**: Opening price + average daily range - **ADR Low**: Opening price - average daily range - **ADR Median**: The opening price (middle of the projected range) These levels are recalculated at the start of each trading day and extend forward, providing dynamic support and resistance zones based on recent volatility characteristics. ### Session Tracking & Statistics The indicator monitors four distinct trading sessions (times in Eastern Time): 1. **Asia Session** (8:00 PM - 2:00 AM) 2. **London Session** (2:00 AM - 8:00 AM) 3. **NY Open** (8:00 AM - 9:00 AM) 4. **NY Initial Balance** (9:30 AM - 10:30 AM) For each session, the indicator: - Draws a colored box showing the session's high-to-low range - Tracks the opening price, high, and low - Stores historical data for statistical analysis - Calculates average ranges by day of week (Monday through Friday) The session statistics are displayed in a customizable table showing average point ranges for each session across different weekdays, helping traders identify which sessions and days typically produce the most movement. ### Dynamic Probability System The indicator analyzes the relationship between the Asia and London sessions to determine the current market setup. After the London session closes, it automatically detects one of four possible conditions: **1. London Engulfs Asia** - London session breaks both above Asia's high AND below Asia's low - This indicates strong momentum during the European session - Most common occurrence pattern **2. Asia Engulfs London** - Asia session range completely contains the London session range - Indicates consolidation during London hours - Relatively rare pattern (occurs approximately 5.36% of the time) **3. London Partially Engulfs Upwards** - London breaks above Asia's high but stays above Asia's low - Suggests bullish momentum continuation from Asia into London **4. London Partially Engulfs Downwards** - London breaks below Asia's low but stays below Asia's high - Suggests bearish momentum continuation from Asia into London Once a condition is detected, the indicator displays a probability table showing historically observed outcomes for that specific setup, including: - Probability of NY session taking out key levels (Asia high/low, London high/low) - Probability of NY session engulfing the entire overnight range - Directional bias for NY Cash session (9:30 AM - 4:00 PM) ## How to Use This Indicator ### Initial Setup 1. Add the indicator to your chart (works on any intraday timeframe below Daily) 2. Adjust the **ADR Days** setting (default: 10) to control the lookback period for range calculation 3. Adjust the **Session Lookback Days** setting (default: 50) to determine how much historical data feeds the statistics tables ### Reading the ADR Levels - Use the **ADR High** and **ADR Low** lines as potential profit targets or areas where price may encounter resistance - The **ADR Median** line represents the opening price and can act as a pivot point for intraday directional bias - If price reaches the ADR High early in the session, it suggests strong bullish momentum; conversely for ADR Low - These levels adapt daily based on recent volatility, making them more responsive than static levels ### Interpreting Session Boxes - **Session boxes** visually highlight when each trading session is active and its price range - Larger boxes indicate higher volatility during that session - Compare current session ranges to the statistical averages shown in the table - Sessions that are unusually quiet or active relative to historical averages may signal compression or expansion ### Using the Session Statistics Table - The table shows average point ranges for each session broken down by weekday - Identify which sessions typically produce the most movement on specific days - For example, if London on Thursdays averages 40 points while Mondays average 25 points, you can adjust position sizing or expectations accordingly - The **Total** column shows the overall average across all days - Sample sizes (shown in brackets if enabled) indicate data reliability ### Trading with the Probability Table The probability table updates dynamically after the London session closes and shows statistically probable outcomes based on 12 years of NQ futures data. **Important Limitations:** - **These probabilities are derived from NQ (Nasdaq E-mini futures) data only** - **Do NOT apply these probability statistics to other instruments** (ES, stocks, forex, etc.) - The probabilities represent historical frequencies, not guarantees - Always combine with your own analysis, risk management, and market context **How to Apply the Probabilities:** When **London Engulfs Asia**: - Watch for NY session to take out London's extremes (72.33% probability for high, 71.12% for low) - Slight bullish bias in NY Cash session (54.80% vs 45.20%) - Lower probability of complete overnight engulfment (44.13%) When **Asia Engulfs London** (rare - 5.36% occurrence): - Higher probability NY takes Asia's high (75.86%) - Moderately high probability NY takes Asia's low (65.52%) - Slight increase in bullish bias (58.42% vs 41.58%) - Recognize this as an unusual setup When **London Partially Engulfs Upwards**: - Very high probability NY takes London high (81.51%) - Strong probability NY takes London low (64.45%) - Moderate probability NY takes Asian low (53.16%) - Slight bullish bias (55.52%) When **London Partially Engulfs Downwards**: - Very high probability NY takes London low (75.29%) - Strong probability NY takes London high (68.80%) - Moderate probability NY takes Asian high (56.44%) - Slight bullish bias maintained (52.99%) ### Practical Trading Applications **Scenario 1: Range Projection** If the ADR is 500 points and the market opens at 25,000: - ADR High: 25,500 (potential resistance/target) - ADR Low: 24,500 (potential support/target) - Monitor how price interacts with these levels throughout the day **Scenario 2: Session-Based Trading** Using the statistics table, you notice London on Wednesdays averages 35 points. During a Wednesday London session: - If London has already moved 30 points, the session may be exhausting its typical range - If London has only moved 15 points with an hour remaining, there may be expansion potential - Adjust stop losses and targets based on typical session behavior **Scenario 3: Probability-Based Setup** It's 8:05 AM ET and the indicator shows "London Partially Engulfs Upwards": - You now know there's an 81.51% historical probability NY will take out London's high - There's a 53.16% probability NY will reach down to Asia's low - The NY Cash session has a slight bullish bias (55.52%) - Consider this alongside your technical analysis for directional bias and level targeting ## Customization Options ### Visual Settings - **Line Width**: Adjust thickness of ADR levels - **ADR Color/Style**: Customize appearance of ADR projection lines (solid, dashed, dotted) - **Median Line**: Toggle visibility and customize appearance separately - **Session Box Colors**: Customize each session's box color independently - **Show Session Boxes**: Toggle session box visibility on/off ### Label Settings - **ADR Labels**: Show/hide labels for ADR High and ADR Low, adjust size - **Median Label**: Separate control for median line label - **Session Labels**: Show/hide session name labels, adjust size - **Label Colors**: Customize text colors for all labels ### Table Settings - **Session Stats Table**: Position (9 locations available), size (Tiny to Huge), toggle on/off - **Sample Sizes**: Show/hide the number of historical samples used for each calculation - **Probabilities Table**: Separate position and size controls, toggle on/off ### Session Times - Each session's time range can be customized to fit different markets or preferences - All times are in Eastern Time (America/New_York timezone) ## Technical Notes ### Data Requirements - The indicator requires sufficient historical data based on your lookback settings - Minimum recommended: 50+ days of intraday data for reliable statistics - Works on any timeframe below Daily (1-minute, 5-minute, 15-minute, etc.) ### Calculation Methodology - **ADR Calculation**: Simple average of absolute daily high-low ranges - **Session Statistics**: Mean average of ranges for each session filtered by day of week - **Condition Detection**: Boolean logic comparing session high/low relationships - All calculations update in real-time as new bars form ### Probability Data Source The probability statistics displayed in the dynamic table are derived from: - **Dataset**: 12 years of NQ (Nasdaq E-mini futures) historical data - **Methodology**: Frequency analysis of outcomes following specific setup conditions - **Time Period**: Multiple market cycles including various volatility regimes **Critical Warning**: These probabilities are specific to NQ and reflect that instrument's behavior patterns. Market microstructure, participant behavior, and volatility characteristics differ significantly across instruments. Do not apply these NQ-derived probabilities to other markets (ES, RTY, YM, individual stocks, forex, commodities, etc.). ## Best Practices 1. **Combine with Other Analysis**: Use this indicator as one component of a complete trading methodology, not a standalone system 2. **Respect Risk Management**: Probabilities are not certainties; always use proper position sizing and stop losses 3. **Context Matters**: High-impact news events, holiday trading, and extreme volatility can invalidate typical patterns 4. **Verify Statistics**: Monitor your own results and compare to the displayed probabilities 5. **Adapt Session Times**: If trading instruments with different active hours, adjust session times accordingly 6. **Regular Calibration**: Periodically review if the session averages and probabilities remain relevant to current market conditions ## Understanding Originality This indicator is original in its approach to combining three analytical frameworks into a single tool: 1. **Dynamic ADR Projection**: Unlike static pivot points, these levels adapt daily based on recent volatility 2. **Session-Specific Statistics**: Goes beyond simple volume profiles by quantifying average ranges for specific time windows across weekdays 3. **Conditional Probability Display**: Automatically detects overnight session relationships and displays relevant probability data rather than showing all scenarios simultaneously The conditional logic system that determines which probability set to display is a key differentiator—traders only see the statistics relevant to the current market setup, reducing information overload and improving decision-making clarity. ## Summary The **Statistical Daily Profile & Ranges** indicator provides traders with a comprehensive framework for understanding daily range potential, session-specific behavior patterns, and probability-based setup analysis. By combining ADR projection levels with detailed session statistics and dynamic probability displays, traders gain multiple perspectives on potential price movement within the trading day. The indicator is most effective when used to: - Set realistic profit targets based on average daily range - Identify which sessions typically produce movement on specific weekdays - Understand probability-weighted outcomes for different overnight setup conditions (NQ only) - Visualize session ranges and compare them to historical averages Remember that all statistical analysis reflects historical patterns, and market behavior can change. Always combine indicator signals with sound risk management, proper position sizing, and your own market analysis.
Penunjuk Pine Script®
oleh lucymatos
Cave Diving 3 Lines System 🤿 Cave Diving Dashboard - A Deep Dive into Market Structure ## The Cave Diving Analogy Imagine you're a cave diver exploring underwater caverns. As you descend deeper, you encounter different layers of the cave system: - **The Surface (Internal Levels)** - Where you currently are, constantly shifting with each breath - **The First Chamber (De Novo Levels)** - Your last known safe position, recently established - **Deep Caverns (External Levels)** - Ancient, untouched chambers deeper in the system Just as a cave diver must constantly monitor their position relative to these reference points, traders must track price action against key structural levels. --- ## 🎯 Understanding the Three-Tiered System ### 📍 **INTERNAL LEVELS** (Current 15m Candle) *Your real-time position in the market* **Internal High** 🟡 - The highest point reached in the current unfinished 15-minute candle **Internal Low** 🟢 - The lowest point reached in the current unfinished 15-minute candle **Think of these as:** - Your current depth while actively diving - They update continuously as price moves - Status shows "Updating" when actively changing, "Intact" when stable - These are NOT trade levels—they're awareness zones **Key Insight:** When Internal Low drops below De Novo Low, you're in **Situation A** (bearish pressure building)—the indicator highlights this with red coloring. --- ### 🎯 **DE NOVO LEVELS** (Previous Closed 15m Candle) *Your most recent confirmed safe zone* **De Novo High** 🔵 - The high of the last completed 15-minute candle **De Novo Low** 🟣 - The low of the last completed 15-minute candle **Etymology:** "De Novo" = Latin for "from new" or "anew"—these are freshly established reference points **Think of these as:** - The last solid ground you stood on - Your most recent confirmed position - The bridge between where you are (Internal) and where you've been (External) **Status Tracking:** - **⬆️ Upgrade** - Level moved favorably (Higher high for resistance, Higher low for support) - **⬇️ Downgrade** - Level moved unfavorably (Lower high, Lower low) - **＝ Same** - No structural change from previous candle **Trading Significance:** - Primary reference points for intraday structure - Breaking De Novo levels often signals directional commitment - Can merge with External Level 1 when they align (shown as "DN🟰Ext1") --- ### ⛽🤿 **EXTERNAL LEVELS** (Unmitigated Historical 15m Levels) *Deep liquidity pools waiting to be discovered* **External High 1 & 2** 🟢🔵 - The two most recent unmitigated 15m highs **External Low 1 & 2** 🟠🌸 - The two most recent unmitigated 15m lows **Think of these as:** - Untouched chambers in the cave system - Liquidity pools that smart money is targeting - Levels that "remember" and attract price **What Makes a Level "Unmitigated"?** - **Highs**: Price has NOT yet traded through them (broken above) - **Lows**: Price has NOT yet swept them (broken below) - Once touched, they're "mitigated" and removed from tracking - The indicator automatically maintains the two most recent unmitigated levels **Why "External"?** They exist outside your current candle structure—historical reference points that institutions use for: - Stop loss placement - Profit taking targets - Liquidity hunting zones --- ## 🎨 Color Coding System ### HIGHS (Resistance/Targets) - Cool Colors - 🔵 **Ext High 2** - Light Blue (Distant target) - 🟢 **Ext High 1** - Lime Green (Primary target) - 🔵 **De Novo High** - Cyan (Recent resistance) - 🟡 **Internal High** - Lemon Yellow (Current ceiling) ### LOWS (Support/Stops) - Warm Colors - 🟢 **Internal Low** - Lime (Current floor) - 🟣 **De Novo Low** - Purple (Recent support) - 🟠 **Ext Low 1** - Orange-Red (Primary stop zone) - 🌸 **Ext Low 2** - Pink (Distant support) --- ## 📊 Dashboard Breakdown ### The Table Shows: 1. **Level** - Which level you're tracking 2. **Price** - Exact price of the level 3. **Pts** - Distance from current price (+ above, - below) 4. **Status** - Current state or role of the level ### Special Features: - **⏰ Countdown Timer** - Shows time remaining until next 15m candle close (next De Novo update) - **⚠️ Proximity Alerts** - Bottom row warns when within threshold distance of key levels (default: 25 points, adjustable) --- ## 🎯 Trading Applications ### **For Buyers (Going Long):** - **Entry Zone**: Between De Novo Low and Ext Low 1 - **Stops**: Below Ext Low 1 (or Ext Low 2 for wider stops) - **Targets**: De Novo High → Ext High 1 → Ext High 2 - **Confirmation**: Internal Low holds above De Novo Low ### **For Sellers (Going Short):** - **Entry Zone**: Between De Novo High and Ext High 1 - **Stops**: Above Ext High 1 (or Ext High 2 for wider stops) - **Targets**: De Novo Low → Ext Low 1 → Ext Low 2 - **Warning**: Watch for Situation A (Internal Low < De Novo Low) ### **Risk Management:** - **DN🟰Ext1** status means De Novo = External 1 (tighter range, use caution) - Proximity alerts help you avoid chasing price into resistance/support - "Updating" status on Internal levels = active volatility - "Upgrade/Downgrade" signals = structural shift in progress --- ## ⚙️ Customization Options ### Lookback Period - Default: 500 candles (searches 125 hours of 15m data) - Increase for more historical External levels - Decrease for focus on recent structure ### Proximity Threshold - Default: 25 points - Set based on your instrument's average range - Lower = tighter alerts (for scalping) - Higher = strategic warnings (for swing trading) ### Visual Customization - Line thickness (1-5) - Line style (Solid/Dashed/Dotted) - All colors fully customizable - Show/hide lines independently --- ## 🧭 The Cave Diving Mindset **Never dive deeper than you can safely return from.** In trading terms: - Know your Internal position (real-time awareness) - Respect your De Novo levels (recent structure) - Hunt for External liquidity (where the targets are) - Always have an exit plan (stops below Ext Lows, above Ext Highs) The market, like a cave, has structure. This indicator illuminates that structure across three timeframes of reference, helping you navigate with precision rather than guessing in the dark. --- ## 🎓 Key Takeaways 1. **Internal** = Real-time, unfinished, awareness only 2. **De Novo** = Just confirmed, primary reference, updates every 15m 3. **External** = Historical, unmitigated, high-probability targets/stops 4. **Upgrades/Downgrades** = Trend signals 5. **DN🟰Ext1** = Structural alignment (tighter range) 6. **Situation A** = Bearish warning (Internal < De Novo Low) --- ## 📝 Credits *"In cave diving, you plan your dive and dive your plan. In trading, you plan your levels and trade your levels."* **Indicator:** Cave Diving Dashboard - Part 1: Price Levels **Timeframe:** Optimized for 15-minute structure on any chart timeframe **Philosophy:** Structure first, price second. Know where you are, where you've been, and where the liquidity waits. --- Happy Diving! 🤿📈
Penunjuk Pine Script®
oleh DeLeBlanc
Prometheus Polarized Fractal Efficiency (PFE)This indicator uses market data to calculate Polarized Fractal Efficiency (PFE) on an asset, so traders can have a better idea of which direction it may go. Users can control the lookback length for the fractal calculation, the lookback length for the Exponential Moving Average (EMA), and whether or not to display lines at the -50 and 50 level, or -25 and 25 level. Polarized Fractal Efficiency: The Polarized Fractal Efficiency (PFE) indicator is a value between -100 and 100 with 0 as a midpoint. A PFE above 0 indicates the asset may trend higher, a PFE below 0 indicates the asset may trend lower. There are many ways to trade with PFE, the intuitive trend riding as described above, or reversals. Even when the PFE is above 0, if it gets high enough, it may also be an indication of a reversal. A PFE of 90 - 100, or -100 - -90, may indicate price is ready to revert the other direction. Furthermore, traders already in a position may look to breaks of other levels to be their take profit or stop out spot. Calculation: Pi = 100 x (Price - Price )2 + N2 / Summation, j= 0, to N-2 (Price - Price )2 + 1 If Close < Close Pi = -Pi PFEi = EMA(Pi, M) Where: N = period of indicator M = smoothing period Citation: www.investopedia.com Scenarios: Inputs are (9, 5) and every display option is on. Trend example Step 1: A short trade appears as PFE crosses below -25. We reach a safe take profit as PFE crosses below -50. Traders can use these levels to exit as well as enter. Step 2: On the cross above 25 there is a safe long. As the PFE value breaks 0 a safe, early take profit could be appropriate for this trade. No guarantee we would see 50. Step 3: Long scenario at break of 25, straight to 50. Simple, straightforward setup. Step 4: This long results in a stop loss. Once again entry as PFE crosses 25, but as we cross the 0 line it is for a loss. Step 5: The last trade in this example is reminiscent of step 3. This is a short trade entry at break of 25 and exit at break of 50. Traders have liberty to use the PFE value to determine spots to enter and exit trades, long or short. 25 and 50 were chosen arbitrarily, values like 10 and 60 may work as well, we encourage traders to use their own discretion along with tools. Reversal example Step 1: PFE is around -100, crossing below it at one point! Strong zone for a potential reversal. Step 2: PFE crosses above 25 adding conviction. Step 3: Option to exit at 70. Step 4: Option to exit at 90. There is no “one size fits all method”, this approach may be more intuitive for some users and is just as feasible as the first. Longer trend example Step 1: Using -50 and 50 this time instead of -25 and 25 to be safer on our entries we see a short here. Was a good entry and as the value gets closer to -70 we can safely close. Step 2: On this candle we see a long for the break of 50. On the next candle we break the 0 line, but because of our safe entry at 50, we could hold this and only stop out at a break of -25. We get close but stay in it and close at 70. Step 3: Break of 50 for a long once again. This time the break of 0 line occurs as we are in profit, not letting a green trade go red is a golden rule of trading, so an early exit here. Step 4: Same at step 2, break of 50 to long and stay in it, not stopping out at break of 0 line. The PFE value eventually reaches 70 and there is a good exit. Quicker Reversal example Step 1: Notice a close with PFE below -90, enter long for the reversal. Then close for profit when the PFE crosses above 70. Step 2: When the PFE breaks above 90 we have a short entry. Like the long closing it when it crosses below -70. Step 3: This step is the same setup as step 2. As PFE breaks above 90 we have a short entry. Closing it when it crosses below -70. Recap: Described above are 4 different examples with many different trades. Both trend and reversal trades. The PFE value is an indicator that can be used by traders in many different ways and Prometheus encourages traders to use their own discretion along with tools and not follow indicators blindly. Options: Users can control the input for the lookback of the indicator. The default is 9. The smoothing factor for the EMA is also changeable, default is 5. Users have options to display lines at -50, -25, 25, and 50.
Penunjuk Pine Script®
oleh ScorsoneEnterprises
ADX and DI-BolarinwaThe Average Directional Movement Index (ADX) is a technical indicator that measures the strength of a trend. While the indicator itself doesn’t give an insight into the direction of the trend, the Directional Movement lines can be used to determine if the market moves up or down. The ADX can return a value between 0 and 100. The usual threshold for a market to be considered as trending by the ADX is a value of 25 or above. Values between 25 and 50 signal a trending market, between 50 and 75 very strong trends and between 75 and 100 extremely strong trends. The ADX Crossover Trading Strategy A popular trading strategy to trade on the ADX is based on a crossover of the directional movement lines (+DI and -DI) which was developed directly by the indicator’s creator Mr. Wilder. The trading strategy states that the first condition for a trade setup is that the ADX has a value of 25 or above, which indicates a trending market. A buy order is triggered when +DI crosses above -DI, i.e. the underlying trend is an uptrend, while a sell signal is triggered when -DI crosses above +DI, i.e. the underlying trend is a downtrend. Stop-losses are placed at the low of the current trading day, and the trade setup remains valid even if the directional movement lines cross again after the trade signal. Only a break of the current trading day’s low would lead to the trade setup becoming invalid. If the ADX remains above 25 or rises even higher, indicating that the strength of the underlying trend increases, then traders can put a trailing stop on the trade. The following chart shows an example of the ADX crossover strategy on the daily EUR/USD pair. ADX Crossover Strategy The first cross of -DI above +DI didn’t send a sell signal because the ADX was below 25. The sell signal came with ADX crossing above 25, while the -DI was still above +DI. On the chart, the SL was put just above the day’s high. The second signal was a buy signal, with the cross of +DI above -DI and the ADX above 25, signaling a strong trend. The stop-loss is placed just below the day’s low, indicated by the dotted line on the chart. Finally, the third sell signal came with the cross of -DI above -DI and the ADX above 25. Again, the stop-loss is placed just above the day’s high. While the ADX crossover strategy can also be applied to lower timeframes, you need to be aware that the increased market noise may create more false signals than on the higher timeframes. The following chart is a 5-minute chart with buy and sell signals based on the crossover strategy. Notice that we placed the stop-losses slightly different than in the previous example. In this case, stop-losses have been placed at the recent highs and lows of the price. ADX Trading Graph The first buy signal came with +DI crossing above -DI and ADX above 25. In the middle of the chart, you can notice the crosses of the directional movement lines (+DI and -DI) while the ADX was below 25. As ADX needs to be above 25, those crosses are not used as entry triggers based on the ADX crossover strategy. After that we received a sell signal with -DI crossing above +DI and ADX above 25, which is followed by a buy signal when +DI crossed above -DI. Using ADX for Trade Confirmations Beside the ADX crossover strategy which is based on the crosses of +DI and -DI, traders can also use the ADX indicator to supplement other trading strategies. For example, you might want to use a trend-following strategy when ADX shows a strong trend (value above 25), or a trading strategy that is more suited for ranging markets in times when the ADX shows an absence of trends (value below 25). Before You Trade The Average Directional Movement Index is a versatile technical indicator that can be used as a stand-alone trading strategy, or in combination with other trading strategies. The ADX crossover strategy is based on the crossover of the directional movement lines (+DI and -DI) and an ADX reading of above 25. While it can be used across all timeframes, it usually returns the best results on higher ones. As the ADX measures the strength of the underlying trend, trend-following traders can use it to filter flat and ranging markets and avoid trading during those times.
Penunjuk Pine Script®
oleh omowarebola
Directional Movement Index (DMI) + AlertsThis is a Study with associated visual indicators and Bullish/Bearish Alerts for Directional Movement (DMI). It consists of an Average Directional Index (ADX), Plus Directional Indicator (+DI) and Minus Directional Indicator (-DI). Published by J. Welles Wilder in 1978 for use with currencies and commodities which are typically more volatile than stocks and have stronger trends. Development Notes --------------------------- This indicator, and most of the descriptions below, were derived largely from the TradingView reference manual. Feedback and suggestions for improvement are more than welcome, as well are recommended Input settings and best practices for use. tradingview.com/chart/?solution=43000502250 Strategy Description --------------------------- ADX defines whether or not there is a trend present; +DI and -DI compliment the ADX by taking direction into account. An ADX above 25 indicates a strong trend, and a Bullish alert is subsequently triggered when +DI is above -DI and a Bearish alert when -DI is above +DI. Note that the Bullish or Bearish crossover alert will only trigger if ADX is simultaneously above 25 during the crossover event. If ADX later rises to 25 and +DI is still greater than -DI, or -DI greater than +DI, then a delayed alert will not trigger by design. Basic Use --------------------------- Acceptable DMI values are up to the trader's interpretation and may change depending on the financial instrument being examined. Recommend not changing any default values without being first familiar with their purpose and impact on the indicator at large. Confidence in price action and trend is higher when two or more indicators are in agreement -- therefore we recommend not using this indicator by itself to determine entry or exit trade opportunities. Recommend also choosing 'Once Per Bar Close' when creating alerts. Inputs --------------------------- ADX Smoothing - the time period to be used in calculating the ADX which has a smoothing component (14 is the Default). DI Length - the time period to be used in calculating the DI (14 is the Default). Key Level - any trade with the ADX above the key level is a strong indicator that it is trending (23 to 25 is the suggested setting). Sensitivity - an incremental variable to test whether the past n candles are in the same bullish or bearish state before triggering a delayed crossover alert (3 is the Default). Filter out some noise and reduces active alerts. Show ADX Option - two visual styles are provided for user preference, a visible ADX line or a background overlay (green or red when ADX is above the key level, for bullish or bearish, and gray when below). Color Candles - an option to transpose the bullish and bearish crossovers to the main candle bars. Can be turned off in the Style Tab by deselecting 'Bar Colors'. Dark blue is bullish, dark purple is bearish, and the black inner color is neutral. Note that the outer red and green border will still be distinguished by whether each individual candle is bearish or bullish during the specified timeframe. Indicator Visuals --------------------------- Bullish or Bearish plot based on DMI strategy (ADX and +/-DI values). Visual cues are intended to improve analysis and decrease interpretation time during trading, as well as to aid in understanding the purpose of this study and how its inclusion can benefit a comprehensive trading strategy. Trend Strength --------------------------- To analyze trend strength, the focus should be on the ADX line and not the +DI or -DI lines. An ADX reading above 25 indicates a strong trend, while a reading below 20 indicates a weak or non-existent trend. A reading between those two values would be considered indeterminable. Though what is truly a strong trend or a weak trend depends on the financial instrument being examined; historical analysis can assist in determining appropriate values. Bullish DI Cross --------------------------- 1. ADX must be over 25 (strong trend) (value is determined by the trader) 2. +DI cross above -DI 3. Set Stop Loss at the current day's low (any +DI cross-backs below -DI should be ignored) 4. Set trailing stop if ADX strengthens (i.e., signal rises) Bearish DI Cross --------------------------- 1. ADX must be over 25 (strong trend) (value is determined by the trader) 2. -DI cross above +DI 3. Set Stop Loss at the current day's high (any -DI cross-backs below +DI should be ignored) 4. Set trailing stop if ADX strengthens (i.e., signal rises) Disclaimer --------------------------- This post and the script are not intended to provide any financial advice. Trade at your own risk. No known repainting. Version 1.1 ------------------------- - Added multi-timeframe resolution using PineCoders secure security function to eliminate repainting. - Cleaned up option for selecting ADX view; and added a colored line as a choice, based on same bullish, bearish, or neutral colors as the background. - Added exit crossover indicator to aid in an overall strategy development. This ability pairs better with my CHOP Zone Entry Strategy which relies on DMI Exits. Note that exit conditions don't employ the sensitivity variable. Green labels are for Bullish exits and red are for Bearish. -- Exit condition is triggered if in an active Bullish or Bearish position and ADX drops below 25, Or if either the -DI crosses above +DI (for previously Bullish) or +DI crosses above -DI (for previously Bearish). - Added reverse position determination. Triggers when a Bullish entry occurs on the same candle as a Bearish exit, or vice versa. Green labels are for Bullish reverses and red are for Bearish. - Added selectable option to choose visible labels -- Bearish, Bullish, Both, Exits, Reverses, or All. -- Note that a reverse label will only show if the opposing entry and exit labels are set to show, otherwise the reverse will revert to the appropriate entry or exit on the chart. - Added alerts to account for new conditions. -- Note that alerts for crossovers, exits, and reverses will only be triggered if the associated labels are selected to be shown (i.e., what you choose to see on the chart is what you will be alerted to). Version 1.2 ------------------------- - Changed exit condition to be decided on by whether ADX is below 25 and on a +/-DI crossover. Versus being either or. The previous version had too many false triggers. This variety can now show multiple Bullish or Bearish alerts before an Exit condition too. I'm tempted to simply make this condition based on ADX, and not DI … thoughts? See lines 138 and 139. - Updated the Background view to have deeper shades of colors dependent upon the ADX trend strength. - Added an Oscillator view for the ADX and momentum computations to color the histogram by trend. DI lines are hidden. -- If ADX is Bullish, then the oscillator is colored light green in an uptrend and dark green in a downtrend; if Bearish, then its light red in an uptrend and dark redin a downtrend; if adx is below key level, then it is light gray in a downtrend and dark grey in the uptrend. - Added option to Hide ADX in case only the Directional lines are desired. This could be useful if you would like to have the ADX oscillator in one panel and +/-DI crossovers in another. - Added a Columnar view for the ADX. DI lines are hidden. This view is really simple and compact, with the trend strength still easily understood. Colors are the same as for the oscillator -- the deeper the shade of green or red, then the higher the ADX trend strength level. - Added a Trend Strength label. ADX Trend Strength Trade (Y/N) Setup Types 0 to 10 = Barely Breathing N N/A 10 to 20 = Weak Trend Y Range/Pre-Breakout 20 to 30 = Potentially Starting to Trend Y Early Stage Trend 30 to 50 = Strong Trend Y Ride the Wave 50 to 75 = Very Strong Trend N Exhaustion 75 to 100 = Extremely Strong Trend N N/A Version 1.3 ------------------------- Updated to Pine Script v5 to resolve errors from the deprecated v4 version. This is a reissue of a previously published script that was hidden due to a v4 compatibility issue. 'https://www.tradingview.com/script/9OoEHrv5-Directional-Movement-Index-DMI-Alerts/'
Penunjuk Pine Script®
oleh IronCasper
Hidden Impulse═══════════════════════════════════════════════════════════════════ HIDDEN IMPULSE - Multi-Timeframe Momentum Detection System ═══════════════════════════════════════════════════════════════════ OVERVIEW Hidden Impulse is an advanced momentum oscillator that combines the Schaff Trend Cycle (STC) and Force Index into a comprehensive multi-timeframe trading system. Unlike standard implementations of these indicators, this script introduces three distinct trading setups with specific entry conditions, multi-timeframe confirmation, and trend filtering. ═══════════════════════════════════════════════════════════════════ ORIGINALITY & KEY FEATURES This indicator is original in the following ways: 1. DUAL-TIMEFRAME STC ANALYSIS Standard STC implementations work on a single timeframe. This script simultaneously analyzes STC on both your trading timeframe and a higher timeframe, providing trend context and filtering out low-probability signals. 2. FORCE INDEX INTEGRATION The script combines STC with Force Index (volume-weighted price momentum) to confirm the strength behind price moves. This combination helps identify when momentum shifts are backed by genuine buying/selling pressure. 3. THREE DISTINCT TRADING SETUPS Rather than generic overbought/oversold signals, the indicator provides three specific, rule-based setups: - Setup A: Classic trend-following entries with multi-timeframe confirmation - Setup B: Divergence-based reversal entries (highest probability) - Setup C: Mean-reversion bounce trades at extreme levels 4. INTELLIGENT FILTERING All signals are filtered through: - 50 EMA trend direction (prevents counter-trend trades) - Higher timeframe STC alignment (ensures macro trend agreement) - Force Index confirmation (validates volume support) ═══════════════════════════════════════════════════════════════════ HOW IT WORKS - TECHNICAL EXPLANATION SCHAFF TREND CYCLE (STC) CALCULATION: The STC is a cyclical oscillator that combines MACD concepts with stochastic smoothing to create earlier and smoother trend signals. Step 1: Calculate MACD - Fast MA = EMA(close, Length1) — default 23 - Slow MA = EMA(close, Length2) — default 50 - MACD Line = Fast MA - Slow MA Step 2: First Stochastic Smoothing - Apply stochastic calculation to MACD - Stoch1 = 100 × (MACD - Lowest(MACD, Smoothing)) / (Highest(MACD, Smoothing) - Lowest(MACD, Smoothing)) - Smooth result with EMA(Stoch1, Smoothing) — default 10 Step 3: Second Stochastic Smoothing - Apply stochastic calculation again to the smoothed stochastic - This creates the final STC value between 0-100 The dual stochastic smoothing makes STC more responsive than MACD while being smoother than traditional stochastics. FORCE INDEX CALCULATION: Force Index measures the power behind price movements by incorporating volume: Force Raw = (Close - Close ) × Volume Force Index = EMA(Force Raw, Period) — default 13 Interpretation: - Positive Force Index = Buying pressure (bulls in control) - Negative Force Index = Selling pressure (bears in control) - Force Index crossing zero = Momentum shift - Divergences with price = Weakening momentum (reversal signal) TREND FILTER: A 50-period EMA serves as the trend filter: - Price above EMA50 = Uptrend → Only LONG signals allowed - Price below EMA50 = Downtrend → Only SHORT signals allowed This prevents counter-trend trading which accounts for most losing trades. ═══════════════════════════════════════════════════════════════════ THE THREE TRADING SETUPS - DETAILED SETUP A: CLASSIC MOMENTUM ENTRY Concept: Enter when STC exits oversold/overbought zones with trend confirmation LONG CONDITIONS: 1. Higher timeframe STC > 25 (macro trend is up) 2. Primary timeframe STC crosses above 25 (momentum turning up) 3. Force Index crosses above 0 OR already positive (volume confirms) 4. Price above 50 EMA (local trend is up) SHORT CONDITIONS: 1. Higher timeframe STC < 75 (macro trend is down) 2. Primary timeframe STC crosses below 75 (momentum turning down) 3. Force Index crosses below 0 OR already negative (volume confirms) 4. Price below 50 EMA (local trend is down) Best for: Trending markets, continuation trades Win rate: Moderate (60-65%) Risk/Reward: 1:2 to 1:3 ─────────────────────────────────────────────────────────────────── SETUP B: DIVERGENCE REVERSAL (HIGHEST PROBABILITY) Concept: Identify exhaustion points where price makes new extremes but momentum (Force Index) fails to confirm BULLISH DIVERGENCE: 1. Price makes a lower low (LL) over 10 bars 2. Force Index makes a higher low (HL) — refuses to follow price down 3. STC is below 25 (oversold condition) Trigger: STC starts rising AND Force Index crosses above zero BEARISH DIVERGENCE: 1. Price makes a higher high (HH) over 10 bars 2. Force Index makes a lower high (LH) — refuses to follow price up 3. STC is above 75 (overbought condition) Trigger: STC starts falling AND Force Index crosses below zero Why this works: Divergences signal that the current trend is losing steam. When volume (Force Index) doesn't confirm new price extremes, a reversal is likely. Best for: Reversal trading, range-bound markets Win rate: High (70-75%) Risk/Reward: 1:3 to 1:5 ─────────────────────────────────────────────────────────────────── SETUP C: QUICK BOUNCE AT EXTREMES Concept: Catch rapid mean-reversion moves when price touches EMA50 in extreme STC zones LONG CONDITIONS: 1. Price touches 50 EMA from above (pullback in uptrend) 2. STC < 15 (extreme oversold) 3. Force Index > 0 (buyers stepping in) SHORT CONDITIONS: 1. Price touches 50 EMA from below (pullback in downtrend) 2. STC > 85 (extreme overbought) 3. Force Index < 0 (sellers stepping in) Best for: Scalping, quick mean-reversion trades Win rate: Moderate (55-60%) Risk/Reward: 1:1 to 1:2 Note: Use tighter stops and quick profit-taking ═══════════════════════════════════════════════════════════════════ HOW TO USE THE INDICATOR STEP 1: CONFIGURE TIMEFRAMES Primary Timeframe (STC - Primary Timeframe): - Leave empty to use your current chart timeframe - This is where you'll take trades Higher Timeframe (STC - Higher Timeframe): - Default: 30 minutes - Recommended ratios: * 5min chart → 30min higher TF * 15min chart → 1H higher TF * 1H chart → 4H higher TF * Daily chart → Weekly higher TF ─────────────────────────────────────────────────────────────────── STEP 2: ADJUST STC PARAMETERS FOR YOUR MARKET Default (23/50/10) works well for stocks and forex, but adjust for: CRYPTO (volatile): - Length 1: 15 - Length 2: 35 - Smoothing: 8 (Faster response for rapid price movements) STOCKS (standard): - Length 1: 23 - Length 2: 50 - Smoothing: 10 (Balanced settings) FOREX MAJORS (slower): - Length 1: 30 - Length 2: 60 - Smoothing: 12 (Filters out noise in 24/7 markets) ─────────────────────────────────────────────────────────────────── STEP 3: ENABLE YOUR PREFERRED SETUPS Toggle setups based on your trading style: Conservative Trader: ✓ Setup B (Divergence) — highest win rate ✗ Setup A (Classic) — only in strong trends ✗ Setup C (Bounce) — too aggressive Trend Trader: ✓ Setup A (Classic) — primary signals ✓ Setup B (Divergence) — for entries on pullbacks ✗ Setup C (Bounce) — not suitable for trending Scalper: ✓ Setup C (Bounce) — quick in-and-out ✓ Setup B (Divergence) — high probability scalps ✗ Setup A (Classic) — too slow ─────────────────────────────────────────────────────────────────── STEP 4: READ THE SIGNALS ON THE CHART: Labels appear when conditions are met: Green labels: - "LONG A" — Setup A long entry - "LONG B DIV" — Setup B divergence long (best signal) - "LONG C" — Setup C bounce long Red labels: - "SHORT A" — Setup A short entry - "SHORT B DIV" — Setup B divergence short (best signal) - "SHORT C" — Setup C bounce short IN THE INDICATOR PANEL (bottom): - Blue line = Primary timeframe STC - Orange dots = Higher timeframe STC (optional) - Green/Red bars = Force Index histogram - Dashed lines at 25/75 = Entry/Exit zones - Background shading = Oversold (green) / Overbought (red) INFO TABLE (top-right corner): Shows real-time status: - STC values for both timeframes - Force Index direction - Price position vs EMA - Current trend direction - Active signal type ═══════════════════════════════════════════════════════════════════ TRADING STRATEGY & RISK MANAGEMENT ENTRY RULES: Priority ranking (best to worst): 1st: Setup B (Divergence) — wait for these 2nd: Setup A (Classic) — in confirmed trends only 3rd: Setup C (Bounce) — scalping only Confirmation checklist before entry: ☑ Signal label appears on chart ☑ TREND in info table matches signal direction ☑ Higher timeframe STC aligned (check orange dots or table) ☑ Force Index confirming (check histogram color) ─────────────────────────────────────────────────────────────────── STOP LOSS PLACEMENT: Setup A (Classic): - LONG: Below recent swing low - SHORT: Above recent swing high - Typical: 1-2 ATR distance Setup B (Divergence): - LONG: Below the divergence low - SHORT: Above the divergence high - Typical: 0.5-1.5 ATR distance Setup C (Bounce): - LONG: 5-10 pips below EMA50 - SHORT: 5-10 pips above EMA50 - Typical: 0.3-0.8 ATR distance ─────────────────────────────────────────────────────────────────── TAKE PROFIT TARGETS: Conservative approach: - Exit when STC reaches opposite level - LONG: Exit when STC > 75 - SHORT: Exit when STC < 25 Aggressive approach: - Hold until opposite signal appears - Trail stop as STC moves in your favor Partial profits: - Take 50% at 1:2 risk/reward - Let remaining 50% run to target ─────────────────────────────────────────────────────────────────── WHAT TO AVOID: ❌ Trading Setup A in sideways/choppy markets → Wait for clear trend or use Setup B only ❌ Ignoring higher timeframe STC → Always check orange dots align with your direction ❌ Taking signals against the major trend → If weekly trend is down, be cautious with longs ❌ Overtrading Setup C → Maximum 2-3 bounce trades per session ❌ Trading during low volume periods → Force Index becomes unreliable ═══════════════════════════════════════════════════════════════════ ALERTS CONFIGURATION The indicator includes 8 alert types: Individual setup alerts: - "Setup A - LONG" / "Setup A - SHORT" - "Setup B - DIV LONG" / "Setup B - DIV SHORT" ⭐ recommended - "Setup C - BOUNCE LONG" / "Setup C - BOUNCE SHORT" Combined alerts: - "ANY LONG" — fires on any long signal - "ANY SHORT" — fires on any short signal Recommended alert setup: - Create "Setup B - DIV LONG" and "Setup B - DIV SHORT" alerts - These are the highest probability signals - Set "Once Per Bar Close" to avoid false alerts ═══════════════════════════════════════════════════════════════════ VISUALIZATION SETTINGS Show Labels on Chart: Toggle on/off the signal labels (green/red) Disable for cleaner chart once you're familiar with the indicator Show Higher TF STC: Toggle the orange dots showing higher timeframe STC Useful for visual confirmation of multi-timeframe alignment Info Panel: Cannot be disabled — always shows current status Positioned top-right to avoid chart interference ═══════════════════════════════════════════════════════════════════ EXAMPLE TRADE WALKTHROUGH SETUP B DIVERGENCE LONG EXAMPLE: 1. Market Context: - Price in downtrend, below 50 EMA - Multiple lower lows forming - STC below 25 (oversold) 2. Divergence Formation: - Price makes new low at $45.20 - Force Index refuses to make new low (higher low forms) - This indicates selling pressure weakening 3. Signal Trigger: - STC starts turning up - Force Index crosses above zero - Label appears: "LONG B DIV" 4. Trade Execution: - Entry: $45.50 (current price at signal) - Stop Loss: $44.80 (below divergence low) - Target 1: $47.90 (STC reaches 75) — risk/reward 1:3.4 - Target 2: Opposite signal or trail stop 5. Trade Management: - Price rallies to $47.20 - STC reaches 68 (approaching target zone) - Take 50% profit, move stop to breakeven - Exit remaining at $48.10 when STC crosses 75 Result: 3.7R gain ═══════════════════════════════════════════════════════════════════ ADVANCED TIPS 1. MULTI-TIMEFRAME CONFLUENCE For highest probability trades, wait for: - Primary TF signal - Higher TF STC aligned (>25 for longs, <75 for shorts) - Even higher TF trend in same direction (manual check) 2. VOLUME CONFIRMATION Watch the Force Index histogram: - Increasing bar size = Strengthening momentum - Decreasing bar size = Weakening momentum - Use this to gauge signal strength 3. AVOID THESE MARKET CONDITIONS - Major news events (Force Index becomes erratic) - Market open first 30 minutes (volatility spikes) - Low liquidity instruments (Force Index unreliable) - Extreme trending days (wait for pullbacks) 4. COMBINE WITH SUPPORT/RESISTANCE Best signals occur near: - Key horizontal levels - Fibonacci retracements - Previous day's high/low - Psychological round numbers 5. SESSION AWARENESS - Asia session: Use lower timeframes, Setup C works well - London session: Setup A and B both effective - New York session: All setups work, highest volume ═══════════════════════════════════════════════════════════════════ INDICATOR WINDOWS LAYOUT MAIN CHART: - Price action - 50 EMA (green/red) - Signal labels - Info panel INDICATOR WINDOW: - STC oscillator (blue line, 0-100 scale) - Higher TF STC (orange dots, optional) - Force Index histogram (green/red bars) - Reference levels (25, 50, 75) - Background zones (green oversold, red overbought) ═══════════════════════════════════════════════════════════════════ PERFORMANCE OPTIMIZATION For best results: Backtesting: - Test on your specific instrument and timeframe - Adjust STC parameters if win rate < 55% - Record which setup works best for your market Position Sizing: - Risk 1-2% per trade - Setup B can use 2% risk (higher win rate) - Setup C should use 1% risk (lower win rate) Trade Frequency: - Setup B: 2-5 signals per week (be patient) - Setup A: 5-10 signals per week - Setup C: 10+ signals per week (scalping) ═══════════════════════════════════════════════════════════════════ CREDITS & REFERENCES This indicator builds upon established technical analysis concepts: Schaff Trend Cycle: - Developed by Doug Schaff (1996) - Original concept published in Technical Analysis of Stocks & Commodities - Implementation based on standard STC formula Force Index: - Developed by Dr. Alexander Elder - Described in "Trading for a Living" (1993) - Classic volume-momentum indicator The multi-timeframe integration, three-setup system, and specific entry conditions are original contributions of this indicator. ═══════════════════════════════════════════════════════════════════ DISCLAIMER This indicator is a technical analysis tool and does not guarantee profits. Past performance is not indicative of future results. Always: - Use proper risk management - Test on demo account first - Combine with fundamental analysis - Never risk more than you can afford to lose ═══════════════════════════════════════════════════════════════════ SUPPORT & QUESTIONS If you find this indicator helpful, please: - Leave a like and comment - Share your feedback and results - Report any bugs or issues For questions about usage or optimization for specific markets, feel free to comment below. ═════════════════════════════════════════════════════════════
Penunjuk Pine Script®
oleh Smart-Day-Trader
Langlands-Operadic Möbius Vortex (LOMV)Langlands-Operadic Möbius Vortex (LOMV) Where Pure Mathematics Meets Market Reality A Revolutionary Synthesis of Number Theory, Category Theory, and Market Dynamics 🎓 THEORETICAL FOUNDATION The Langlands-Operadic Möbius Vortex represents a groundbreaking fusion of three profound mathematical frameworks that have never before been combined for market analysis: The Langlands Program: Harmonic Analysis in Markets Developed by Robert Langlands (Fields Medal recipient), the Langlands Program creates bridges between number theory, algebraic geometry, and harmonic analysis. In our indicator: L-Function Implementation: - Utilizes the Möbius function μ(n) for weighted price analysis - Applies Riemann zeta function convergence principles - Calculates quantum harmonic resonance between -2 and +2 - Measures deep mathematical patterns invisible to traditional analysis The L-Function core calculation employs: L_sum = Σ(return_val × μ(n) × n^(-s)) Where s is the critical strip parameter (0.5-2.5), controlling mathematical precision and signal smoothness. Operadic Composition Theory: Multi-Strategy Democracy Category theory and operads provide the mathematical framework for composing multiple trading strategies into a unified signal. This isn't simple averaging - it's mathematical composition using: Strategy Composition Arity (2-5 strategies): - Momentum analysis via RSI transformation - Mean reversion through Bollinger Band mathematics - Order Flow Polarity Index (revolutionary T3-smoothed volume analysis) - Trend detection using Directional Movement - Higher timeframe momentum confirmation Agreement Threshold System: Democratic voting where strategies must reach consensus before signal generation. This prevents false signals during market uncertainty. Möbius Function: Number Theory in Action The Möbius function μ(n) forms the mathematical backbone: - μ(n) = 1 if n is a square-free positive integer with even number of prime factors - μ(n) = -1 if n is a square-free positive integer with odd number of prime factors - μ(n) = 0 if n has a squared prime factor This creates oscillating weights that reveal hidden market periodicities and harmonic structures. 🔧 COMPREHENSIVE INPUT SYSTEM Langlands Program Parameters Modular Level N (5-50, default 30): Primary lookback for quantum harmonic analysis. Optimized by timeframe: - Scalping (1-5min): 15-25 - Day Trading (15min-1H): 25-35 - Swing Trading (4H-1D): 35-50 - Asset-specific: Crypto 15-25, Stocks 30-40, Forex 35-45 L-Function Critical Strip (0.5-2.5, default 1.5): Controls Riemann zeta convergence precision: - Higher values: More stable, smoother signals - Lower values: More reactive, catches quick moves - High frequency: 0.8-1.2, Medium: 1.3-1.7, Low: 1.8-2.3 Frobenius Trace Period (5-50, default 21): Galois representation lookback for price-volume correlation: - Measures harmonic relationships in market flows - Scalping: 8-15, Day Trading: 18-25, Swing: 25-40 HTF Multi-Scale Analysis: Higher timeframe context prevents trading against major trends: - Provides market bias and filters signals - Improves win rates by 15-25% through trend alignment Operadic Composition Parameters Strategy Composition Arity (2-5, default 4): Number of algorithms composed for final signal: - Conservative: 4-5 strategies (higher confidence) - Moderate: 3-4 strategies (balanced approach) - Aggressive: 2-3 strategies (more frequent signals) Category Agreement Threshold (2-5, default 3): Democratic voting minimum for signal generation: - Higher agreement: Fewer but higher quality signals - Lower agreement: More signals, potential false positives Swiss-Cheese Mixing (0.1-0.5, default 0.382): Golden ratio φ⁻¹ based blending of trend factors: - 0.382 is φ⁻¹, optimal for natural market fractals - Higher values: Stronger trend following - Lower values: More contrarian signals OFPI Configuration: - OFPI Length (5-30, default 14): Order Flow calculation period - T3 Smoothing (3-10, default 5): Advanced exponential smoothing - T3 Volume Factor (0.5-1.0, default 0.7): Smoothing aggressiveness control Unified Scoring System Component Weights (sum ≈ 1.0): - L-Function Weight (0.1-0.5, default 0.3): Mathematical harmony emphasis - Galois Rank Weight (0.1-0.5, default 0.2): Market structure complexity - Operadic Weight (0.1-0.5, default 0.3): Multi-strategy consensus - Correspondence Weight (0.1-0.5, default 0.2): Theory-practice alignment Signal Threshold (0.5-10.0, default 5.0): Quality filter producing: - 8.0+: EXCEPTIONAL signals only - 6.0-7.9: STRONG signals - 4.0-5.9: MODERATE signals - 2.0-3.9: WEAK signals 🎨 ADVANCED VISUAL SYSTEM Multi-Dimensional Quantum Aura Bands Five-layer resonance field showing market energy: - Colors: Theme-matched gradients (Quantum purple, Holographic cyan, etc.) - Expansion: Dynamic based on score intensity and volatility - Function: Multi-timeframe support/resistance zones Morphism Flow Portals Category theory visualization showing market topology: - Green/Cyan Portals: Bullish mathematical flow - Red/Orange Portals: Bearish mathematical flow - Size/Intensity: Proportional to signal strength - Recursion Depth (1-8): Nested patterns for flow evolution Fractal Grid System Dynamic support/resistance with projected L-Scores: - Multiple Timeframes: 10, 20, 30, 40, 50-period highs/lows - Smart Spacing: Prevents level overlap using ATR-based minimum distance - Projections: Estimated signal scores when price reaches levels - Usage: Precise entry/exit timing with mathematical confirmation Wick Pressure Analysis Rejection level prediction using candle mathematics: - Upper Wicks: Selling pressure zones (purple/red lines) - Lower Wicks: Buying pressure zones (purple/green lines) - Glow Intensity (1-8): Visual emphasis and line reach - Application: Confluence with fractal grid creates high-probability zones Regime Intensity Heatmap Background coloring showing market energy: - Black/Dark: Low activity, range-bound markets - Purple Glow: Building momentum and trend development - Bright Purple: High activity, strong directional moves - Calculation: Combines trend, momentum, volatility, and score intensity Six Professional Themes - Quantum: Purple/violet for general trading and mathematical focus - Holographic: Cyan/magenta optimized for cryptocurrency markets - Crystalline: Blue/turquoise for conservative, stability-focused trading - Plasma: Gold/magenta for high-energy volatility trading - Cosmic Neon: Bright neon colors for maximum visibility and aggressive trading 📊 INSTITUTIONAL-GRADE DASHBOARD Unified AI Score Section - Total Score (-10 to +10): Primary decision metric - >5: Strong bullish signals - <-5: Strong bearish signals - Quality ratings: EXCEPTIONAL > STRONG > MODERATE > WEAK - Component Analysis: Individual L-Function, Galois, Operadic, and Correspondence contributions Order Flow Analysis Revolutionary OFPI integration: - OFPI Value (-100% to +100%): Real buying vs selling pressure - Visual Gauge: Horizontal bar chart showing flow intensity - Momentum Status: SHIFTING, ACCELERATING, STRONG, MODERATE, or WEAK - Trading Application: Flow shifts often precede major moves Signal Performance Tracking - Win Rate Monitoring: Real-time success percentage with emoji indicators - Signal Count: Total signals generated for frequency analysis - Current Position: LONG, SHORT, or NONE with P&L tracking - Volatility Regime: HIGH, MEDIUM, or LOW classification Market Structure Analysis - Möbius Field Strength: Mathematical field oscillation intensity - CHAOTIC: High complexity, use wider stops - STRONG: Active field, normal position sizing - MODERATE: Balanced conditions - WEAK: Low activity, consider smaller positions - HTF Trend: Higher timeframe bias (BULL/BEAR/NEUTRAL) - Strategy Agreement: Multi-algorithm consensus level Position Management When in trades, displays: - Entry Price: Original signal price - Current P&L: Real-time percentage with risk level assessment - Duration: Bars in trade for timing analysis - Risk Level: HIGH/MEDIUM/LOW based on current exposure 🚀 SIGNAL GENERATION LOGIC Balanced Long/Short Architecture The indicator generates signals through multiple convergent pathways: Long Entry Conditions: - Score threshold breach with algorithmic agreement - Strong bullish order flow (OFPI > 0.15) with positive composite signal - Bullish pattern recognition with mathematical confirmation - HTF trend alignment with momentum shifting - Extreme bullish OFPI (>0.3) with any positive score Short Entry Conditions: - Score threshold breach with bearish agreement - Strong bearish order flow (OFPI < -0.15) with negative composite signal - Bearish pattern recognition with mathematical confirmation - HTF trend alignment with momentum shifting - Extreme bearish OFPI (<-0.3) with any negative score Exit Logic: - Score deterioration below continuation threshold - Signal quality degradation - Opposing order flow acceleration - 10-bar minimum between signals prevents overtrading ⚙️ OPTIMIZATION GUIDELINES Asset-Specific Settings Cryptocurrency Trading: - Modular Level: 15-25 (capture volatility) - L-Function Precision: 0.8-1.3 (reactive to price swings) - OFPI Length: 10-20 (fast correlation shifts) - Cascade Levels: 5-7, Theme: Holographic Stock Index Trading: - Modular Level: 25-35 (balanced trending) - L-Function Precision: 1.5-1.8 (stable patterns) - OFPI Length: 14-20 (standard correlation) - Cascade Levels: 4-5, Theme: Quantum Forex Trading: - Modular Level: 35-45 (smooth trends) - L-Function Precision: 1.6-2.1 (high smoothing) - OFPI Length: 18-25 (disable volume amplification) - Cascade Levels: 3-4, Theme: Crystalline Timeframe Optimization Scalping (1-5 minute charts): - Reduce all lookback parameters by 30-40% - Increase L-Function precision for noise reduction - Enable all visual elements for maximum information - Use Small dashboard to save screen space Day Trading (15 minute - 1 hour): - Use default parameters as starting point - Adjust based on market volatility - Normal dashboard provides optimal information density - Focus on OFPI momentum shifts for entries Swing Trading (4 hour - Daily): - Increase lookback parameters by 30-50% - Higher L-Function precision for stability - Large dashboard for comprehensive analysis - Emphasize HTF trend alignment 🏆 ADVANCED TRADING STRATEGIES The Mathematical Confluence Method 1. Wait for Fractal Grid level approach 2. Confirm with projected L-Score > threshold 3. Verify OFPI alignment with direction 4. Enter on portal signal with quality ≥ STRONG 5. Exit on score deterioration or opposing flow The Regime Trading System 1. Monitor Aether Flow background intensity 2. Trade aggressively during bright purple periods 3. Reduce position size during dark periods 4. Use Möbius Field strength for stop placement 5. Align with HTF trend for maximum probability The OFPI Momentum Strategy 1. Watch for momentum shifting detection 2. Confirm with accelerating flow in direction 3. Enter on immediate portal signal 4. Scale out at Fibonacci levels 5. Exit on flow deceleration or reversal ⚠️ RISK MANAGEMENT INTEGRATION Mathematical Position Sizing - Use Galois Rank for volatility-adjusted sizing - Möbius Field strength determines stop width - Fractal Dimension guides maximum exposure - OFPI momentum affects entry timing Signal Quality Filtering - Trade only STRONG or EXCEPTIONAL quality signals - Increase position size with higher agreement levels - Reduce risk during CHAOTIC Möbius field periods - Respect HTF trend alignment for directional bias 🔬 DEVELOPMENT JOURNEY Creating the LOMV was an extraordinary mathematical undertaking that pushed the boundaries of what's possible in technical analysis. This indicator almost didn't happen. The theoretical complexity nearly proved insurmountable. The Mathematical Challenge Implementing the Langlands Program required deep research into: - Number theory and the Möbius function - Riemann zeta function convergence properties - L-function analytical continuation - Galois representations in finite fields The mathematical literature spans decades of pure mathematics research, requiring translation from abstract theory to practical market application. The Computational Complexity Operadic composition theory demanded: - Category theory implementation in Pine Script - Multi-dimensional array management for strategy composition - Real-time democratic voting algorithms - Performance optimization for complex calculations The Integration Breakthrough Bringing together three disparate mathematical frameworks required: - Novel approaches to signal weighting and combination - Revolutionary Order Flow Polarity Index development - Advanced T3 smoothing implementation - Balanced signal generation preventing directional bias Months of intensive research culminated in breakthrough moments when the mathematics finally aligned with market reality. The result is an indicator that reveals market structure invisible to conventional analysis while maintaining practical trading utility. 🎯 PRACTICAL IMPLEMENTATION Getting Started 1. Apply indicator with default settings 2. Select appropriate theme for your markets 3. Observe dashboard metrics during different market conditions 4. Practice signal identification without trading 5. Gradually adjust parameters based on observations Signal Confirmation Process - Never trade on score alone - verify quality rating - Confirm OFPI alignment with intended direction - Check fractal grid level proximity for timing - Ensure Möbius field strength supports position size - Validate against HTF trend for bias confirmation Performance Monitoring - Track win rate in dashboard for strategy assessment - Monitor component contributions for optimization - Adjust threshold based on desired signal frequency - Document performance across different market regimes 🌟 UNIQUE INNOVATIONS 1. First Integration of Langlands Program mathematics with practical trading 2. Revolutionary OFPI with T3 smoothing and momentum detection 3. Operadic Composition using category theory for signal democracy 4. Dynamic Fractal Grid with projected L-Score calculations 5. Multi-Dimensional Visualization through morphism flow portals 6. Regime-Adaptive Background showing market energy intensity 7. Balanced Signal Generation preventing directional bias 8. Professional Dashboard with institutional-grade metrics 📚 EDUCATIONAL VALUE The LOMV serves as both a practical trading tool and an educational gateway to advanced mathematics. Traders gain exposure to: - Pure mathematics applications in markets - Category theory and operadic composition - Number theory through Möbius function implementation - Harmonic analysis via L-function calculations - Advanced signal processing through T3 smoothing ⚖️ RESPONSIBLE USAGE This indicator represents advanced mathematical research applied to market analysis. While the underlying mathematics are rigorously implemented, markets remain inherently unpredictable. Key Principles: - Use as part of comprehensive trading strategy - Implement proper risk management at all times - Backtest thoroughly before live implementation - Understand that past performance does not guarantee future results - Never risk more than you can afford to lose The mathematics reveal deep market structure, but successful trading requires discipline, patience, and sound risk management beyond any indicator. 🔮 CONCLUSION The Langlands-Operadic Möbius Vortex represents a quantum leap forward in technical analysis, bringing PhD-level pure mathematics to practical trading while maintaining visual elegance and usability. From the harmonic analysis of the Langlands Program to the democratic composition of operadic theory, from the number-theoretic precision of the Möbius function to the revolutionary Order Flow Polarity Index, every component works in mathematical harmony to reveal the hidden order within market chaos. This is more than an indicator - it's a mathematical lens that transforms how you see and understand market structure. Trade with mathematical precision. Trade with the LOMV. *"Mathematics is the language with which God has written the universe." - Galileo Galilei* *In markets, as in nature, profound mathematical beauty underlies apparent chaos. The LOMV reveals this hidden order.* — Dskyz, Trade with insight. Trade with anticipation.
Penunjuk Pine Script®
oleh DskyzInvestments
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  Returns: bool gc_2p()   2-part green candle condition   Returns: bool gc_3p()   3-part green candle condition   Returns: bool gc_4p()   4-part green candle condition   Returns: bool gc_5p()   5-part green candle condition   Returns: bool gc_6p()   6-part green candle condition   Returns: bool gc_7p()   7-part green candle condition   Returns: bool gc_8p()   8-part green candle condition   Returns: bool gc_9p()   9-part green candle condition   Returns: bool gc_10p()   10-part green candle condition   Returns: bool gc_11p()   11-part green candle condition   Returns: bool gc_12p()   12-part green candle condition   Returns: bool gc_13p()   13-part green candle condition   Returns: bool gc_14p()   14-part green candle condition   Returns: bool gc_15p()   15-part green candle condition   Returns: bool gc_16p()   16-part green candle condition   Returns: bool gc_17p()   17-part green candle condition   Returns: bool gc_18p()   18-part green candle condition   Returns: bool gc_19p()   19-part green candle condition   Returns: bool gc_20p()   20-part green candle condition   Returns: bool gc_21p()   21-part green candle condition   Returns: bool gc_22p()   22-part green candle condition   Returns: bool gc_23p()   23-part green candle condition   Returns: bool gc_24p()   24-part green candle condition   Returns: bool gc_25p()   25-part green candle condition   Returns: bool gc_26p()   26-part green candle condition   Returns: bool gc_27p()   27-part green candle condition   Returns: bool gc_28p()   28-part green candle condition   Returns: bool gc_29p()   29-part green candle condition   Returns: bool gc_30p()   30-part green candle condition   Returns: bool rc_1p()   1-part red candle condition   Returns: bool rc_2p()   2-part red candle condition   Returns: bool rc_3p()   3-part red candle condition   Returns: bool rc_4p()   4-part red candle condition   Returns: bool rc_5p()   5-part red candle condition   Returns: bool rc_6p()   6-part red candle condition   Returns: bool rc_7p()   7-part red candle condition   Returns: bool rc_8p()   8-part red candle condition   Returns: bool rc_9p()   9-part red candle condition   Returns: bool rc_10p()   10-part red candle condition   Returns: bool rc_11p()   11-part red candle condition   Returns: bool rc_12p()   12-part red candle condition   Returns: bool rc_13p()   13-part red candle condition   Returns: bool rc_14p()   14-part red candle condition   Returns: bool rc_15p()   15-part red candle condition   Returns: bool rc_16p()   16-part red candle condition   Returns: bool rc_17p()   17-part red candle condition   Returns: bool rc_18p()   18-part red candle condition   Returns: bool rc_19p()   19-part red candle condition   Returns: bool rc_20p()   20-part red candle condition   Returns: bool rc_21p()   21-part red candle condition   Returns: bool rc_22p()   22-part red candle condition   Returns: bool rc_23p()   23-part red candle condition   Returns: bool rc_24p()   24-part red candle condition   Returns: bool rc_25p()   25-part red candle condition   Returns: bool rc_26p()   26-part red candle condition   Returns: bool rc_27p()   27-part red candle condition   Returns: bool rc_28p()   28-part red candle condition   Returns: bool rc_29p()   29-part red candle condition   Returns: bool rc_30p()   30-part red candle condition   Returns: bool cdut()   candle double uptrend condition   Returns: bool cddt()   candle double downtrend condition   Returns: bool cdut_1p()   1-part candle double uptrend condition   Returns: bool cdut_2p()   2-part candle double uptrend condition   Returns: bool cdut_3p()   3-part candle double uptrend condition   Returns: bool cdut_4p()   4-part candle double uptrend condition   Returns: bool cdut_5p()   5-part candle double uptrend condition   Returns: bool cdut_6p()   6-part candle double uptrend condition   Returns: bool cdut_7p()   7-part candle double uptrend condition   Returns: bool cdut_8p()   8-part candle double uptrend condition   Returns: bool cdut_9p()   9-part candle double uptrend condition   Returns: bool cdut_10p()   10-part candle double uptrend condition   Returns: bool cdut_11p()   11-part candle double uptrend condition   Returns: bool cdut_12p()   12-part candle double uptrend condition   Returns: bool cdut_13p()   13-part candle double uptrend condition   Returns: bool cdut_14p()   14-part candle double uptrend condition   Returns: bool cdut_15p()   15-part candle double uptrend condition   Returns: bool cdut_16p()   16-part candle double uptrend condition   Returns: bool cdut_17p()   17-part candle double uptrend condition   Returns: bool cdut_18p()   18-part candle double uptrend condition   Returns: bool cdut_19p()   19-part candle double uptrend condition   Returns: bool cdut_20p()   20-part candle double uptrend condition   Returns: bool cdut_21p()   21-part candle double uptrend condition   Returns: bool cdut_22p()   22-part candle double uptrend condition   Returns: bool cdut_23p()   23-part candle double uptrend condition   Returns: bool cdut_24p()   24-part candle double uptrend condition   Returns: bool cdut_25p()   25-part candle double uptrend condition   Returns: bool cdut_26p()   26-part candle double uptrend condition   Returns: bool cdut_27p()   27-part candle double uptrend condition   Returns: bool cdut_28p()   28-part candle double uptrend condition   Returns: bool cdut_29p()   29-part candle double uptrend condition   Returns: bool cdut_30p()   30-part candle double uptrend condition   Returns: bool cddt_1p()   1-part candle double downtrend condition   Returns: bool cddt_2p()   2-part candle double downtrend condition   Returns: bool cddt_3p()   3-part candle double downtrend condition   Returns: bool cddt_4p()   4-part candle double downtrend condition   Returns: bool cddt_5p()   5-part candle double downtrend condition   Returns: bool cddt_6p()   6-part candle double downtrend condition   Returns: bool cddt_7p()   7-part candle double downtrend condition   Returns: bool cddt_8p()   8-part candle double downtrend condition   Returns: bool cddt_9p()   9-part candle double downtrend condition   Returns: bool cddt_10p()   10-part candle double downtrend condition   Returns: bool cddt_11p()   11-part candle double downtrend condition   Returns: bool cddt_12p()   12-part candle double downtrend condition   Returns: bool cddt_13p()   13-part candle double downtrend condition   Returns: bool cddt_14p()   14-part candle double downtrend condition   Returns: bool cddt_15p()   15-part candle double downtrend condition   Returns: bool cddt_16p()   16-part candle double downtrend condition   Returns: bool cddt_17p()   17-part candle double downtrend condition   Returns: bool cddt_18p()   18-part candle double downtrend condition   Returns: bool cddt_19p()   19-part candle double downtrend condition   Returns: bool cddt_20p()   20-part candle double downtrend condition   Returns: bool cddt_21p()   21-part candle double downtrend condition   Returns: bool cddt_22p()   22-part candle double downtrend condition   Returns: bool cddt_23p()   23-part candle double downtrend condition   Returns: bool cddt_24p()   24-part candle double downtrend condition   Returns: bool cddt_25p()   25-part candle double downtrend condition   Returns: bool cddt_26p()   26-part candle double downtrend condition   Returns: bool cddt_27p()   27-part candle double downtrend condition   Returns: bool cddt_28p()   28-part candle double downtrend condition   Returns: bool cddt_29p()   29-part candle double downtrend condition   Returns: bool cddt_30p()   30-part candle double downtrend condition   Returns: bool
Perpustakaan Pine Script®
oleh theEccentricTrader
2
Strength Measurement -HTThe Strength Measurement -HT indicator is a tool designed to measure the strength and trend of a security using the Average Directional Index (ADX) across multiple time frames. This script averages the ADX values from five different time frames to provide a comprehensive view of the trend's strength, helping traders make more informed decisions. Key Features: Multi-Time Frame Analysis: The indicator calculates ADX values from five different time frames (5 minutes, 15 minutes, 30 minutes, 1 hour, and 4 hours) to offer a more holistic view of the market trend. Trend Strength Visualization: The average ADX value is plotted as a histogram, with colors indicating the trend strength and direction, making it easy to visualize and interpret. Reference Levels: The script includes horizontal lines at ADX levels 25, 50, and 75 to signify weak, strong, and very strong trends, respectively. How It Works Directional Movement Calculation: The script calculates the positive and negative directional movements (DI+) and (DI-) using the true range over a specified period (default is 14 periods). ADX Calculation: The ADX value is derived from the smoothed moving average of the absolute difference between DI+ and DI-, normalized by their sum. Multi-Time Frame ADX: ADX values are computed for the 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour time frames. Average ADX: The script averages the ADX values from the different time frames to generate a single, comprehensive ADX value. Trend Visualization: The average ADX value is plotted as a histogram with colors indicating: Gray for weak trends (ADX < 25) Green for strengthening trends (25 ≤ ADX < 50) Dark Green for strong trends (ADX ≥ 50) Light Red for weakening trends (ADX < 25) Red for strong trends turning weak (ADX ≥ 25) Usage Trend Detection: Use the color-coded histogram to quickly identify the trend strength and direction. Green indicates a strengthening trend, while red signifies a weakening trend. Reference Levels: Utilize the horizontal lines at ADX levels 25, 50, and 75 as reference points to gauge the trend's strength. ADX < 25 suggests a weak trend. ADX between 25 and 50 indicates a moderate to strong trend. ADX > 50 points to a very strong trend. Multi-Time Frame Insight: Leverage the averaged ADX value to gain insights from multiple time frames, helping you make more informed trading decisions based on a broader market perspective. Feel free to explore and integrate this indicator into your trading strategy to enhance your market analysis and decision-making process. Happy trading!
Penunjuk Pine Script®
oleh FlowTraderX
Directional Movement IndexADX is an oscillating indicator, displayed as a single line, ranging from 0 to 100, it only indicates the strength of the trend and does not indicate its direction. In other words, the ADX is non-directional, meaning that it measures the strength of a trend, but doesn’t distinguish between uptrend and downtrends. So, during a strong uptrend, the ADX rises and during a strong downtrend, the ADX also rises. Here is how you correctly read what ADX is saying about the market. Here are 5 aspects regarding the interpretation of the ADX: 1- When ADX is above 25, trend strength is strong. Usually, once the ADX gets above 25 this signals the beginning of a trend. Big moves (upwards or downwards) tend to happen when ADX is right around this number. You can experiment with this number, some traders that want faster signals, tend to use a 20 threshold when trading with the ADX. 2- When ADX is below 25, traders must avoid trend trading strategies as the market is in accumulation or distribution phase. So, when we see the ADX line below 20 or 25 level, we forget about trend following strategies and we apply strategies suitable for a ranging market. 3- When ADX is above 25 and Positive Directional Movement Indicator (+DMI) is above the Negative Directional Movement Indicator (-DMI). ADX measures the strength of an uptrend. The crossover between the 2 Directional Movement Indicator, as the ADX line is well above 25 can result in an excellent bullish move. 4- The Positive Directional Movement Indicator (+DMI) should be above the Negative Directional Movement and the ADX should be above 25 signals for a strong upward trend for long opportunities. When ADX is above 25 and Positive Directional Movement Indicator is below the Negative Directional Movement Indicator, ADX measures the strength of a downtrend and short opportunities. 5- Values over 50 of the ADX indicate a very strong trend There are pros and cons of ADX. So, why is the ADX useful for traders: First, is excellent at quantifying trend strength. Also, it allows traders to see the strength of bulls and bears at the same time. It is good at filtering out trades, during accumulation periods and is good at identifying trending conditions. But the ADX also has its limitations. The most important disadvantage is the fact that ADX is a lagging indicator that follows the price, so we must be very careful when we apply this indicator, because we might miss the inception of the trend and join it when it’s nearly over. Also, it offers many false signals when used on shorter time frames, so it’s advisable to trade it on higher time frames Also, the ADX does not contain all of the data necessary a for proper analysis of price action, so it must be used in combination with other tools or indicators. Now that we fully covered the good and the bad regarding ADX, let’s see how it is used in a trading strategy. The trading strategy involves a DMI crossover, confirmed by ADX above consolidation threshold. If +DMI crossover, we take long position and if -DMI crosses over, we take a short position. Candles are re-colored for easy demonstration of uptrend, downtrend and consolidation periods. Green candles – ADX > Consolidation Threshold and +DMI > -DMI Red candles – ADX > Consolidation Threshold and +DMI < -DMI Black candles – ADX < Consolidation Threshold Repaint – This is a non-repainting strategy - All the signals are generated at candle closing. All the calculations are made on previous candle’s open, high, low, close. No request security function is used. No data is being used from higher time frame. Trade exit uses close function instead of exit to avoid limit orders. Only one long trade at a time (no pyramiding) is allowed. Strategy Time frame – D (To filter out false signals, higher time frame is recommended) Strategy For – Swing Traders Assets – Cryptocurrencies + Stocks
Strategi Pine Script®
oleh wojak_bogdanoff
10
Average Directional Index + ΔDI± (Delta)Average Directional Index (ADX) and Difference between DI+ and DI- (ΔDI±), I call it Delta for short. The idea explained: ADX is a common indicator for analysing trend strength. Values over 25 usually indicate the symbol is in "trend mode", meaning there is a lot of momentum, upwards or downwards, - while values under 25 suggest it is in "range mode", the price moves sideways, lacking energy. Note that this indicator is not volume-based. I moved the graph (red) down 25 points; this version shows positive values in "trend mode" (>25), and negative values in "range mode" (<25). The line sits at 0. The underlying code for the ADX is basically identical to the official TradingView built-in version. Now the exciting part: DI+ and DI- are used to calculate the ADX. They are sometimes included in the ADX indicator chart, I included a version that shows them in the graphic, at the bottom. Traditionally, DI+ (green) crossing DI- (dark red) from below shows the beginning of an upward trend, and therefore a good LONG entry position. However, I noticed that this is usually not the case: this method responds very slowly to the actual price movement. At the point the indicator tells you to enter, the trend is usually already exhausted. I found a better way to use this data; instead of waiting for both graphs to cross, meaning the difference in their respective values is 0, we look for the greatest possible difference. That is what the purple graph of my indicator shows (ΔDI±). It utilizes the zero-line we already created for the ADX. High positive values declare that the DI+ is much greater than the DI-, and vice versa. Delta is the greek letter used in mathematics for difference, so that is what I call this indicator. How to use it: When you look at the graph, low Delta values seem to be good entry points for LONG positions, high Delta values good exits. This is similar to how RSI and CCI work, which is why included them in the chart above (). However, this is only reliable, when the ADX is above 25, or 0 in this version, indicating the symbol is in "trend mode". This is important . When you look at the examples in the chart, you can confirm that. The marked candles show good entry and exit points, with Delta being notably low/high (±25 seems to be a good threshold, the dashed lines sit at +30/-30), and the ADX above 0 (25). Now, you might have noticed that around mid-december the Delta actually registers the highest value for this symbol in the given time frame, indicating a strong SHORT after a steep climb. But, importantly , the ADX is not in "trend mode" as required for a clear signal, it is in "range mode": the price discovers this new level and takes a few days to get used to it. It does not fall. This shows why only the combination of both Delta and ADX gives desirable results. I noticed that this seems to work best for 1D and 1H candles; if you find any other time frames or scenarios, let me know! PLEASE NOTE THAT THIS IS BASED ON PERSONAL, EMPIRICAL OBSERVATIONS. PAST RESULTS DO NOT GUARANTEE SUCCESS IN THE FUTURE. DO NOT TAKE THIS AS INVESTMENT ADVICE! Thanks to TradingView and robertkowalski for providing the basis on which the code is built. Credit goes to the appropriate developers/owners. () Let me know if you make any other observations, or find other ways to use the data!
Penunjuk Pine Script®
oleh henlin
3
PEAD ScreenerPEAD Screener - Post-Earnings Announcement Drift Scanner ═══════════════════════════════════════════════════════════════ WHY EARNINGS ANNOUNCEMENTS CREATE OPPORTUNITY ═══════════════════════════════════════════════════════════════ The days immediately following an earnings announcement are among the noisiest periods for any stock. Within hours, the market must digest new information about a company's profits, revenue, and future outlook. Analysts scramble to update their models. Institutions rebalance positions. Retail traders react to headlines. This chaos creates a well-documented phenomenon called Post-Earnings Announcement Drift (PEAD): stocks that beat expectations tend to keep rising, while those that miss tend to keep falling - often for weeks after the initial announcement. Academic research has confirmed this pattern persists across decades and markets. But not every earnings surprise is equal. A company that beats estimates by 5 cents might move very differently than one that beats by 5 cents with unusually high volume, or one where both earnings AND revenue exceeded expectations. Raw numbers alone don't tell the full story. ═══════════════════════════════════════════════════════════════ HOW "STANDARDIZED UNEXPECTED" METRICS CUT THROUGH THE NOISE ═══════════════════════════════════════════════════════════════ This screener uses a statistical technique to measure how "surprising" a result truly is - not just whether it beat or missed, but how unusual that beat or miss was compared to the company's own history. The core idea: convert raw surprises into Z-scores. A Z-score answers the question: "How many standard deviations away from normal is this result?" - A Z-score of 0 means the result was exactly average - A Z-score of +2 means the result was unusually high (better than ~95% of historical results) - A Z-score of -2 means the result was unusually low By standardizing surprises this way, we can compare apples to apples. A small-cap biotech's $0.02 beat might actually be more significant than a mega-cap's $0.50 beat, once we account for each company's typical variability. This screener applies this standardization to three dimensions: earnings (SUE), revenue (SURGE), and volume (SUV). ═══════════════════════════════════════════════════════════════ THE 9 SCREENING CRITERIA ═══════════════════════════════════════════════════════════════ ───────────────────────────────────────── 1. SUE (Standardized Unexpected Earnings) ───────────────────────────────────────── WHAT IT IS: SUE measures how surprising an earnings result was, adjusted for the company's historical forecast accuracy. Calculation: Take the earnings surprise (actual EPS minus analyst estimate), then divide by the standard deviation of past forecast errors. This uses a rolling window of the last 8 quarters by default. Formula: SUE = (Actual EPS - Estimated EPS) / Standard Deviation of Past Errors HOW TO INTERPRET: - SUE > +2.0: Strongly positive surprise - earnings beat expectations by an unusually large margin. These stocks often continue drifting higher. - SUE between 0 and +2.0: Modest positive surprise - beat expectations, but within normal range. - SUE between -2.0 and 0: Modest negative surprise - missed expectations, but within normal range. - SUE < -2.0: Strongly negative surprise - significant miss. These stocks often continue drifting lower. For long positions, look for SUE values above +2.0, ideally combined with positive SURGE. ───────────────────────────────────────── 2. SURGE (Standardized Unexpected Revenue) ───────────────────────────────────────── WHAT IT IS: SURGE applies the same standardization technique to revenue surprises. While earnings can be manipulated through accounting choices, revenue is harder to fake - it represents actual sales. Calculation: Take the revenue surprise (actual revenue minus analyst estimate), then divide by the standard deviation of past revenue forecast errors. Formula: SURGE = (Actual Revenue - Estimated Revenue) / Standard Deviation of Past Errors HOW TO INTERPRET: - SURGE > +1.5: Strongly positive revenue surprise - the company sold significantly more than expected. - SURGE between 0 and +1.5: Modest positive surprise. - SURGE < 0: Revenue missed expectations. The most powerful signals occur when BOTH SUE and SURGE are positive and elevated (ideally SUE > 2.0 AND SURGE > 1.5). This indicates the company beat on both profitability AND top-line growth - a much stronger signal than either alone. When SUE and SURGE diverge significantly (e.g., high SUE but negative SURGE), treat with caution - the earnings beat may have come from cost-cutting rather than genuine growth. ───────────────────────────────────────── 3. SUV (Standardized Unexpected Volume) ───────────────────────────────────────── WHAT IT IS: SUV detects unusual trading volume after accounting for how volatile the stock is. More volatile stocks naturally have higher volume, so raw volume comparisons can be misleading. Calculation: This uses regression analysis to model the expected relationship between price volatility and volume. The "unexpected" volume is the residual - how much actual volume deviated from what the model predicted. This residual is then standardized into a Z-score. In plain terms: SUV asks "Given how much this stock typically moves, is today's volume unusually high or low?" HOW TO INTERPRET: - SUV > +2.0: Exceptionally high volume relative to the stock's volatility. This often signals institutional activity - big players moving in or out. - SUV between +1.0 and +2.0: Elevated volume - above normal interest. - SUV between -1.0 and +1.0: Normal volume range. - SUV < -1.0: Unusually quiet - less activity than expected. High SUV combined with positive price movement suggests accumulation (buying). High SUV combined with negative price movement suggests distribution (selling). ───────────────────────────────────────── 4. % From D0 Close ───────────────────────────────────────── WHAT IT IS: This measures how far the current price has moved from the closing price on its initial earnings reaction day (D0). The "reaction day" is the first trading day that fully reflects the earnings news - typically the day after an after-hours announcement, or the announcement day itself for pre-market releases. Calculation: ((Current Price - D0 Close) / D0 Close) × 100 HOW TO INTERPRET: - Positive values: Stock has gained ground since earnings. The higher the percentage, the stronger the post-earnings drift. - 0% to +5%: Modest positive drift - earnings were received well but momentum is limited. - +5% to +15%: Strong drift - buyers continue accumulating. - > +15%: Exceptional drift - significant institutional interest likely. - Negative values: Stock has given back gains or extended losses since earnings. May indicate the initial reaction was overdone, or that sentiment is deteriorating. This metric is most meaningful within the first 5-20 trading days after earnings. Extended drift (maintaining gains over 2+ weeks) is a stronger signal than a quick spike that fades. ───────────────────────────────────────── 5. # Pocket Pivots ───────────────────────────────────────── WHAT IT IS: Pocket Pivots are a volume-based pattern developed by Chris Kacher and Gil Morales. They identify days where institutional buyers are likely accumulating shares without causing obvious breakouts. Calculation: A Pocket Pivot occurs when: - The stock closes higher than it opened (up day) - The stock closes higher than the previous day's close - Today's volume exceeds the highest down-day volume of the prior 10 trading sessions The screener counts how many Pocket Pivots have occurred since the earnings announcement. HOW TO INTERPRET: - 0 Pocket Pivots: No detected institutional accumulation patterns since earnings. - 1-2 Pocket Pivots: Some institutional buying interest - worth monitoring. - 3+ Pocket Pivots: Strong accumulation signal - institutions appear to be building positions. Pocket Pivots are most significant when they occur: - Immediately following earnings announcements - Near moving average support (10-day, 21-day, or 50-day) - On above-average volume - After a period of price consolidation Multiple Pocket Pivots in a short period suggest sustained institutional demand, not just a one-day event. ───────────────────────────────────────── 6. ADX/DI (Trend Strength and Direction) ───────────────────────────────────────── WHAT IT IS: ADX (Average Directional Index) measures trend strength regardless of direction. DI (Directional Indicator) shows whether the trend is bullish or bearish. Calculation: ADX uses a 14-period lookback to measure how directional (trending) price movement is. Values range from 0 to 100. The +DI and -DI components compare upward and downward movement. The screener shows: - ADX value (trend strength) - Direction indicator: "+" for bullish (price trending up), "-" for bearish (price trending down) HOW TO INTERPRET: - ADX < 20: Weak trend - the stock is moving sideways, choppy. Not ideal for momentum trading. - ADX 20-25: Trend is emerging - potentially starting a directional move. - ADX 25-40: Strong trend - clear directional movement. Good for momentum plays. - ADX > 40: Very strong trend - powerful move in progress, but may be extended. The direction indicator (+/-) tells you which way: - "25+" means ADX of 25 with bullish direction (uptrend) - "25-" means ADX of 25 with bearish direction (downtrend) For post-earnings plays, ideal setups show ADX rising above 25 with positive direction, confirming the earnings reaction is developing into a sustained trend rather than a one-day spike. ───────────────────────────────────────── 7. Institutional Buying PASS ───────────────────────────────────────── WHAT IT IS: This proprietary composite indicator detects patterns consistent with institutional accumulation at three stages after earnings: EARLY (Days 0-4): Looks for "large block" buying on the earnings reaction day (exceptionally high volume with a close in the upper half of the day's range) combined with follow-through buying on the next day. MID (Days 5-9): Checks for sustained elevated volume (averaging 1.5x the 20-day average) combined with positive drift and consistent upward price movement (more up days than down days). LATE (Days 10+): Detects either visible accumulation (positive drift with high volume) OR stealth accumulation (positive drift with unusually LOW volume - suggesting smart money is quietly building positions without attracting attention). HOW TO INTERPRET: - Check mark/value of '1': Institutional buying pattern detected. The stock shows characteristics consistent with large players accumulating shares. - X mark/value of '0': No institutional buying pattern detected. This doesn't mean institutions aren't buying - just that the typical footprints aren't visible. A passing grade here adds conviction to other bullish signals. Institutions have research teams, information advantages, and long time horizons. When their footprints appear in the data, it often precedes sustained moves. Important: This is a pattern detection tool, not a guarantee. Always combine with other analysis. ───────────────────────────────────────── 8. Strong ATR Drift PASS ───────────────────────────────────────── WHAT IT IS: This measures whether the stock has drifted significantly relative to its own volatility. Instead of asking "did it move 10%?", it asks "did it move more than 1.5 ATRs?" ATR (Average True Range) measures a stock's typical daily movement. A volatile stock might move 5% daily, while a stable stock might move 0.5%. Using ATR normalizes for this difference. Calculation: ATR Drift = (Current Close - D0 Close) / D0 ATR in dollars The indicator passes when ATR Drift exceeds 1.5 AND at least 5 days have passed since earnings. HOW TO INTERPRET: - Check mark/value of '1': The stock has drifted more than 1.5 times its average daily range since earnings - a statistically significant move that suggests genuine momentum, not just noise. - X mark/value of '0': The drift (if any) is within normal volatility bounds - could just be random fluctuation. Why wait 5 days? The immediate post-earnings reaction (days 0-2) often includes gap fills and noise. By day 5, if the stock is still extended beyond 1.5 ATRs from the earnings close, it suggests real buying pressure, not just a reflexive gap. A passing grade here helps filter out stocks that "beat earnings" but haven't actually moved meaningfully. It focuses attention on stocks where the market is voting with real capital. ───────────────────────────────────────── 9. Days Since D0 ───────────────────────────────────────── WHAT IT IS: Simply counts the number of trading days since the earnings reaction day (D0). HOW TO INTERPRET: - Days 0-5 (Green): Fresh earnings - the information is new, institutional repositioning is active, and momentum trades are most potent. This is the "sweet spot" for PEAD strategies. - Days 6-10 (Neutral): Mid-period - some edge remains but diminishing. Good for adding to winning positions, less ideal for new entries. - Days 11+ (Red): Extended period - most of the post-earnings drift has typically played out. Higher risk that momentum fades or reverses. Research shows PEAD effects are strongest in the first 5-10 days after earnings, then decay. Beyond 20-30 days, the informational advantage of the earnings surprise is largely priced in. Use this to prioritize: focus on stocks with strong signals that are still in the early window, and be more selective about entries as days accumulate. ═══════════════════════════════════════════════════════════════ PUTTING IT ALL TOGETHER ═══════════════════════════════════════════════════════════════ You can use this screener in the chart view or in the Screener. One combination of the above filters to develop a shortlist of positive drift candidates may be: - SUE > 2.0 (significant earnings beat) - SURGE > 1.5 (significant revenue beat) - Positive % From D0 Close (price confirming the good news) - Institutional Buying PASS (big players accumulating) - Strong ATR Drift PASS (statistically significant movement) - Days Since D0 < 10 (still in the active drift window) No single indicator is sufficient. The power comes from convergence - when multiple independent measures all point the same direction. ═══════════════════════════════════════════════════════════════ SETTINGS ═══════════════════════════════════════════════════════════════ Key adjustable parameters: - SUE Method: "Analyst-based" uses consensus estimates; "Time-series" uses year-over-year comparison - Window Size: Number of quarters used for standardization (default: 8) - ATR Drift Threshold: Minimum ATR multiple for "strong" classification (default: 1.5) - Institutional Buying thresholds: Adjustable volume and CLV parameters ═══════════════════════════════════════════════════════════════ DISCLAIMER ═══════════════════════════════════════════════════════════════ This screener is a research tool, not financial advice. Past patterns do not guarantee future results. Always conduct your own due diligence and manage risk appropriately. Post-earnings trading involves significant uncertainty and volatility. The 'SUE' in this indicator does not represent a real person; any similarity to actual Sue's (or Susans for that matter) living or dead is quite frankly ridiculous, not to mention coincidental.
Penunjuk Pine Script®
oleh mericourt
FlowScape PredictorFlowScape Predictor is a non-repainting, regime-aware entry qualifier that turns complex market context into two readiness scores (Long & Short, each 0/25/50/75/100) and clean, confirmed-bar signals. It blends three orthogonal pillars so you act only when trend energy, momentum, and location agree: Regime (energy): ATR-normalized linear-regression slope of a smooth HMA → EMA baseline, gated by ADX to confirm when pressure is meaningful. Momentum (push): RSI slope alignment so price has directional follow-through, not just drift. Structure (location): proximity to pivot-confirmed swings, scaled by ATR, so “ready” appears near constructive pullbacks—not mid-trend chases. A soft ATR cloud wraps the baseline for context. A yellow Predictive Baseline extends beyond the last bar to visualize near-term trajectory. It is visual-only: scores/alerts never use it. What you see Baseline line that turns green/red when regime is strong in that direction; gray when weak. ATR cloud around the baseline (context for stretch and pullbacks). Scores (Long & Short, 0–100 in steps of 25) and optional “L/S” icons on bar close. Yellow Predictive Baseline that extends to the right for a few bars (visual trajectory of the smoothed baseline). The scoring system (simple and transparent) Each side (Long/Short) sums four binary checks, 25 points each: Regime aligned: trendStrong is true and LR slope sign favors that side. Momentum aligned: RSI side (>50 for Long, <50 for Short) and RSI slope confirms direction. Baseline side: price is above (Long) / below (Short) the baseline. Location constructive: distance from the last confirmed pivot is healthy (ATR-scaled; not overstretched). Valid totals are 0, 25, 50, 75, 100. Best-quality signal: 100/0 (your side/opposite) on bar close. Good, still valid: 75/0, especially when the missing block is only “location” right as price re-engages the cloud/baseline. Avoid: 75/25 or any opposition > 0 in a weak (gray) regime. The Predictive (Kalman) line — what it is and isn’t The yellow line is a visual forward extension of the smoothed baseline to help you see the current trajectory and time pullback resumptions. It does not predict price and is excluded from scores and alerts. How it’s built (plain English): We maintain a one-dimensional Kalman state x as a smoothed estimate of the baseline. Each bar we observe the current baseline z. The filter adjusts its trust using the Kalman gain K = P / (P + R) and updates: x := x + K*(z − x), then P := (1 − K)*P + Q. Q (process noise): Higher Q → expects faster change → tracks turns quicker (less smoothing). R (measurement noise): Higher R → trusts raw baseline less → smoother, steadier projection. What you control: Lead (how many bars forward to draw). Kalman Q/R (visual smoothness vs. responsiveness). Toggle the line on/off if you prefer a minimal chart. Important: The predictive line extends the baseline, not price. It’s a visual timing aid—don’t automate off it. How to use (step-by-step) Keep the chart clean and use a standard OHLC/candlestick chart. Read the regime: Prefer trades with green/red baseline (trendStrong = true). Check scores on bar close: Take Long 100 / Short 0 or Long 75 / Short 0 when the chart shows a tidy pullback re-engaging the cloud/baseline. Mirror the logic for shorts. Confirm location: If price is > ~1.5 ATR from its reference pivot, let it come back—avoid chasing. Set alerts: Add an alert on Long Ready or Short Ready; these fire on closed bars only. Risk management: Use ATR-buffered stops beyond the recent pivot; target fixed-R multiples (e.g., 1.5–3.0R). Manage the trade with the baseline/cloud if you trail. Best-practice playbook (quick rules) Green light: 100/0 (best) or 75/0 (good) on bar close in a colored (non-gray) regime. Location first: Prefer entries near the baseline/cloud right after a pullback, not far above/below it. Avoid mixed signals: Skip 75/25 and anything with opposition while the baseline is gray. Use the yellow line with discretion: It helps you see rhythm; it’s not a signal source. Timeframes & tuning (practical defaults) Intraday indices/FX (5m–15m): Demand 100/0 in chop; allow 75/0 when ADX is awake and pullback is clean. Crypto intraday (15m–1h): Prefer 100/0; 75/0 on the first pullback after a regime turn. Swing (1h–4h/D1): 75/0 is often sufficient; 100/0 is excellent (fewer but cleaner signals). If choppy: raise ADX threshold, raise the readiness bar (insist on 100/0), or lengthen the RSI slope window. What makes FlowScape different Energy-first regime filter: ATR-normalized LR slope + ADX gate yields a consistent read of trend quality across symbols and timeframes. Location-aware entries: ATR-scaled pivot proximity discourages mid-air chases, encouraging pullback timing. Separation of concerns: The predictive line is visual-only, while scores/alerts are confirmed on close for non-repainting behavior. One simple score per side: A single 0–100 readiness figure is easier to tune than juggling multiple indicators. Transparency & limitations Scores are coarse by design (25-point blocks). They’re a gatekeeper, not a promise of outcomes. Pivots confirm after right-side bars, so structure signals appear after swings form (non-repainting by design). Avoid using non-standard chart types (Heikin Ashi, Renko, Range, etc.) for signals; use a clean, standard chart. No lookahead, no higher-timeframe requests; alerts fire on closed bars only.
Penunjuk Pine Script®
oleh Finntech1
1
ADX with Shaded ZoneThe ADX with Shaded Zone indicator is a momentum-based tool that visualizes trend strength using the Average Directional Index (ADX) along with the +DI and -DI lines. This indicator enhances the traditional ADX setup by adding a shaded zone between ADX levels 20 and 25, helping traders easily identify the transition area between non-trending and trending market conditions. It plots: +DI (Green): Positive Directional Indicator −DI (Red): Negative Directional Indicator ADX (Blue): Measures the strength of the trend Shaded Zone: Highlights the indecisive range where ADX is below 25 (gray background between levels 20 and 25) ⚙️ How to Use: ✅ Trend Identification: ADX < 20: Weak or no trend. Avoid trend-following strategies. ADX 20–25 (Shaded Zone): Transition zone. Potential trend forming — stay cautious. ADX > 25: Stronger trend. Favor trend-following strategies. ✅ Direction Confirmation: If +DI > -DI and ADX > 25 → Uptrend confirmation. If -DI > +DI and ADX > 25 → Downtrend confirmation. Crossovers between +DI and -DI can be used as early signals. ✅ Shaded Zone Use: The gray shaded area helps visually filter out low-trend strength conditions. Useful for trend traders to wait before entering until ADX breaks above 25.
Penunjuk Pine Script®
oleh MathThomas
1
Donchian Trend Ribbon (Gradient)Donchian Trend Ribbon (Gradient) Indicator The Donchian Trend Ribbon (Gradient) uses Donchian Channels to visualize trend direction, strength, and market phases. Columns with varying colors and intensity help traders quickly assess trends. Key Components: Green Columns (Bullish): Appear when price is above the upper Donchian Channel boundary. Bright green in the top zone (25-50): Strong bullish trend. Darker green in the lower zone (0-25): Weak/moderate bullish trend. A full-height bright green column indicates a very strong upward move. Red Columns (Bearish): Appear when price is below the lower Donchian Channel boundary. Bright red in the top zone (25-50): Strong bearish trend. Darker red in the lower zone (0-25): Weak/moderate bearish trend. A full-height bright red column indicates a very strong downward move. Black Columns (Neutral): Indicate no trend or market consolidation. Signal to wait for trend emergence. Expanding Steps: Steps expanding downward from the upper edge (50) suggest diminishing momentum. Steps expanding upward from the lower edge (0) indicate growing trend strength. Methods of Use: Identify Trends: Green (buy) or red (sell) columns in the top zone (25-50) signal strong trends. Assess Strength: Bright colors = strong trends, darker colors = weaker trends. Full-height bright columns indicate very strong moves. Neutral Phases: Black columns suggest waiting for a trend. Example Strategy: Buy when green columns appear in the 25-50 range with bright intensity. Sell when red columns appear in the 25-50 range with bright intensity. Exit positions if columns turn black or darker-colored.
Penunjuk Pine Script®
oleh Spincode2
3
FX Meter ScriptA while ago, we wrote* about the usefulness of using a currency strength meter and how you can build one from scratch. See here: www.globalprime.com.au Now we've taken this little project to the next level by visually spotting, via color signals in a dashboard and alerts, when a potential new trend might be developing in a currency pair. *It's critical that you first read that article before you jump into reading this one or else you could get easily lost. The script gives a trigger every time two currencies show diverging flows via opposing moving average slopes. The signals originate from a first chart where currency indexes can be found, calculated through a formula, in various thin lines. Then a moving average to each currency index is applied so that it can smooth out the lines (what I call Micro moving averages – thicker lines -) and is usually a 4-5 period MA, with the key input to pay attention being the slope. One can perform their own tests on what works best for their particular trading style. The smaller the period in the moving average, the more responsive to changes in biases but the downside is that you will get a greater number of false moves. In the windows below the 1st chart, the stochRSI is calculated for each currency index (these values originate from the currency index and not from the applied MA). By default, a 25-period is applied to both RSI and Stoch length. A 2nd chart that looks at the same logic is also accounted for to build this script, but instead of checking the micro trend, it applies a 25MA to the currency index, so it looks at what I call the slope of the macro trend. In this case, by default, a 125-period is applied to both RSI and Stoch length. We had in mind to transition from just eye-balling and monitoring these charts manually to build a script via Tradingview that makes calculations real time (whenever the change in the moving average slope first occurs, and not when the bar/line closes), so that one can decide whether or not its a signal worth trading as part of a new trend emerging. Note, this is not so much a signal-triggering indicator but rather a tool to constantly be on the lookout monitoring what currencies might start to develop trends. The actual script consists of a dashboard with different colored rectangles being triggered depending on the quality of the signal. We will be happy to discuss it further with anyone who is interested in exploiting all the benefits that it can offer. The way you add the script into your Tradingview chart is by first copy everything in the txt file. Then go to Pine editor (bottom middle-left) in your tradingview chart, delete everything there, then Paste the script. Then click Add to Chart (top right of the pine editor). Note, you should add via the Anchored Text function the following list of pairs below, in this alphabetic order, on the right-hand side of the chart, as demonstrated above: AUDCAD AUDJPY AUDNZD AUDUSD CADJPY EURAUD EURJPY EURCAD EURNZD EURGBP EURUSD GBPAUD GBPCAD GBPJPY GBPNZD GBPUSD NZDCAD NZDJPY NZDUSD USDCAD USDJPY There are only 2 rules for the script to trigger a signal (see below). However, as I will elaborate further down, there are up to 6 different colors we can grade a signal RULE 1 -> 2 moving averages, which are a calculation applied to a currency index as shown in the micro trend above, exhibit slopes in the opposite direction. RULE 2 -> The Stoch RSI cannot be in overbought conditions if the slope of the moving average points higher or in oversold if the slope points lower. Note 1: Even if the chart is a 60m timeframe by default (can be changed to any timeframe(, one gets the signal the moment the change of slope is identified, which means the indicator monitors changes in price tick by tick, and not on a candle close, otherwise one would get the trigger too late. As an example of the highest-graded signal triggering (in green), a few hours ago we were given the visual cue that GBPCAD was experiencing a change of behavior. If we crosscheck the time the green-colored trigger was given with the actual GBPCAD chart, this is what we can observe. The pair is 30p higher since the trigger. HOW TO SETUP ALERTS One can easily setup a notification window each time the above rules are met, for example, if the EUR MA slope changes to bullish, and the AUD MA slope changes to bearish, and none of the 2 currency index values corresponding to these 2 moving averages (EUR and AUD) show a stoch RSI in overbought (above 80) in the case of the EUR, or oversold (below 20) in the case of the AUD, then the notification pop up would show a customized line: Long EURAUD Note 1: Recording the slope of the macro moving average, which is usually a 25period MA applied to the currency index, is not included as part of the rules to trigger a signal, but it is taken into account to grade the quality of each signal. Note 2: I recommend each signal to be triggered once or if you prefer, simply monitor the chart visually on the change of colors via the dashboard. The calculation resets and can appear again the moment that the slope changes to the opposite direction, so it’s a very dynamic indicator that will alert you the second a pair of currencies starts trending. Note 3: When the signal is triggered, the indicator draws a colored rectangle. Each signal notification should be colored based on the following logic below. LOGIC TO QUALIFY SIGNALS -> Any long micro position with Macro MA in full agreement (ie/ Long EURAUD, Macro EUR up, Macro AUD down) is highlighted with green color -> Any long micro position with macro moving averages in partial agreement (for example Long EURAUD, Macro EUR up AUD up) is highlighted with blue color -> Any long micro position with macro moving averages in full disagreement (for example Long EURAUD, Macro EUR down AUD up) is highlighted with magenta color -> Any short micro position with macro moving averages in full agreement (for example Short EURAUD, Macro EUR down AUD up) is highlighted with red color -> Any short micro position with macro moving averages in partial agreement (for example Short EURAUD, Macro EUR up AUD up) is highlighted with orange color -> Any short micro position with macro moving averages in full disagreement (for example Short EURAUD, Macro EUR up AUD down) is highlighted with purple color PARAMETERS IN THE SCRIPT SETTINGS Overbought/oversold: One can modify the stoch RSI level from which the indicator considers the value to be in overbought or oversold conditions. As a rule of thumb, consider 20/30 for oversold and 70/80 for oversold. Slopes micro/macro MAs: One can edit the slope of the micro MA period (rule of thumb 4-5) and the macro MA (by default 25). Value StochRSI: The default inputs are K 3, D 3, RSI Length 25, Stoch Length 25 for the micro and 125 period for the macro. Change colors: One can edit the assigned colors in the signals dashboard. Timeframe applied: The indicator has the flexibility to be applied to any timeframe, not just the 60m by default. Simply change the timeframe temporality. CURRENCY INDEXES FORMULAS It is the responsibility of the user to keep the values of the indexes updated. Find a recent sample below, as per values in early April. What this means is that at least once a week, in order to not let the values outdated, you should update the script with the latest valuations in the denominator. NZD INDEX -> FX_IDC:NZDAUD/0.96+FX:NZDJPY/75.81+FX:NZDUSD/0.68+FX_IDC:NZDEUR/0.6+FX_IDC:NZDGBP/0.52+FX:NZDCHF/0.69+FX:NZDCAD/0.9 EUR INDEX -> FX:EURUSD/1.13+FX:EURJPY/125.5+FX:EURGBP/0.87+FX:EURCHF/1.135+FX:EURCAD/1.49+FX:EURNZD/1.655+FX:EURAUD/1.59 JPY INDEX -> 1/(FX:USDJPY/110.5+FX:EURJPY/125.5+FX:AUDJPY/79+FX:NZDJPY/75.5+FX:GBPJPY/144.5+FX:CHFJPY/110.5+FX:CADJPY/84) USD INDEX -> FX_IDC:USDEUR/0.88+FX:USDJPY/110.5+FX_IDC:USDGBP/0.77+FX:USDCHF+FX:USDCAD/1.315+FX_IDC:USDNZD/1.46+FX_IDC:USDAUD/1.4 CAD INDEX-> FX_IDC:CADAUD/1.07+FX_IDC:CADNZD/1.11+FX:CADJPY/84.27+FX_IDC:CADUSD/0.76+FX_IDC:CADEUR/0.67+FX:CADCHF/0.76+FX_IDC:CADGBP/0.58 GBP INDEX -> FX:GBPAUD/1.83+FX:GBPNZD/1.91+FX:GBPJPY/144.5+FX_IDC:GBPEUR/1.15+FX:GBPCHF/1.31+FX:GBPUSD/1.31+FX:GBPCAD/1.71 Remember, I have provided a manual on how to build a currency strength meter. That’s what you will need to do first if you want to obtain the actual currency indexes other than just the indicator, which is just the visual cue to get you alerted when the slopes turn. Once you’ve created your indexes via tradingview, you then apply a moving average to each index. Then apply the stochrsi 25 period to each index. For the macro trend, I make the same calculations, but the period of the MA is 25 instead of 4, while the stoch rsi is 125 periods vs 25 periods. FINAL NOTE This is a tool that should be interpreted as visual assistance, via the dashboard, to get that first cue when opposing micro slopes via the FX meter occur. However, you still need to check the technical context of the pair (levels marked, proj reached, etc.) but that first cue is a major time saver to constantly spot what's trending in FX. The permutations u can play with, as part of this script, are significant. You can tweak the timeframes you use, the periods of the moving averages, etc. I find the micro and macro trend combos when either a green or red signals is triggered the most reliable, with positions to be exploited via 15m and hourly under the right technical context.
Penunjuk Pine Script®
oleh FlowState
3