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Liquidity Grab Entry Signals [Daily Enhanced]Liquidity Grab Entry Signals is a powerful tool designed to detect intraday reversal opportunities around daily high/low liquidity zones. Core features: – Plots current daily high/low levels – Identifies price interaction with these key zones – Confirms rejection via strong engulfing candles – Plots real-time long/short entry signals directly on chart – Includes alerts for both long and short setups This script is ideal for scalpers and intraday traders looking to exploit stop hunts, liquidity sweeps, and false breakouts. Optimized for instruments like US30, NAS100, Gold, BTC and more. Customize the sensitivity buffer to suit your asset and timeframe. Use this in combination with VWAP, FVG or Smart Money concepts for enhanced confirmation. --- Built for: 1s–15m charts Includes: Alerts + Custom Settings Type: Non-repainting Trade with clarity around the most manipulated price levels of the day.
Penunjuk Pine Script®
oleh ChartEdgePro
AymaN Entry Signal – With HTF + Pin Bar + Multi TP + BE + V1Ayman Entry Signal – Indicator Description Overview Ayman Entry Signal – With HTF + Pin Bar + Multi TP + BE + Stats Panel (V1) This is a professional-grade Pine Script indicator designed for scalping and intraday trading, with full trade management, multi-confirmation logic, and advanced visualization. The tool is ideal for traders focused on XAUUSD (Gold), Forex, and other volatile instruments who seek both precision entries and structured exits with dynamic risk control. Main Features Advanced Entry Logic: - EMA fast/slow crossovers (configurable) - Optional conditions: Break of Structure (BoS), Order Block (OB), Fair Value Gap (FVG), Liquidity sweeps, Pin Bars - HTF confirmation using EMA or BoS - Real-time entry condition display Trade Management: - Dynamic calculation of Entry, SL (with ATR buffer), TP1, TP2 - Supports Partial Close and Break Even logic after TP1 - Visual PnL label (dynamic and color-coded) Statistics Panel: - Shows total trades, win/loss/breakeven count, cumulative PnL - Filter by custom date or session - Fully customizable panel appearance Trade Visualization: - Trade box includes all trade levels (Entry, SL, TP1, TP2) - Visual display of trade conditions and PnL result - Option to keep previous trades on chart Alert System: - Alerts for Buy and Sell entries - Compatible with webhook automation systems like MT5/MT4 Customization & Inputs - Capital & risk per trade - Value per pip/point - SL buffer (ATR-based) - Manual EMA override - Enable/disable: EMA, BoS, OB, FVG, Liquidity, Pin Bars - HTF: timeframe + confirmation logic - Trade box/labels visibility - Full color customization - PnL label position: top, center, or bottom Recommended Use - Ideal for Gold scalping (XAUUSD), also effective for Forex - Best on 1m–15m charts; use HTF confirmation from 15m–4H - Pairs well with semi-automated systems using alerts and webhooks Disclaimer Note: This is a non-executing indicator. It does not place trades but provides visual and statistical guidance for professional manual or semi-automated trading.
Penunjuk Pine Script®
oleh aymanshraideh
WT_CROSS Dip Buy Signal(ozkan)This script identifies potential buy opportunities based on WaveTrend (WT_CROSS) momentum crossing below the -60 level — often indicating oversold conditions. Additional filters include price being above the Kaufman Adaptive Moving Average (KAMA) and volume below the 5-period average, which helps isolate pullbacks within an uptrend. Buy Signal Conditions: WT1 < -60 Price > KAMA Volume < 5-period SMA of volume Purpose: To capture early entries at possible local bottoms during bullish trends while avoiding high-volume breakdown traps. 🔔 You can also set an alert based on this condition.
Penunjuk Pine Script®
oleh mlsdr
MVO - MA Signal StrategyStrategy Description: MA Signal Strategy with Heikin Ashi, Break-even and Trailing Stop ⸻ 🔍 Core Concept This strategy enters long or short trades based on Heikin Ashi candles crossing above or below a moving average (MA), with optional confirmation from the Money Flow Index (MFI). It includes: • Dynamic stop loss and take profit levels based on ATR • Optional break-even stop adjustment • Optional trailing stop activation after breakeven • Full visual feedback for trades and zones ⸻ ⚙️ Indicators Used • Heikin Ashi Candles: Smooth price action to reduce noise. • Simple Moving Average (MA): Determines trend direction. • Average True Range (ATR): Sets volatility-based SL/TP. • Money Flow Index (MFI): Optional momentum filter for entries. ⸻ 📈 Trade Entry Logic ✅ Long Entry: Triggered if: • Heikin Ashi close crosses above the MA or • MFI is below 20 and Heikin Ashi close is above the MA ❌ Short Entry: Triggered if: • Heikin Ashi close crosses below the MA or • MFI is above 90 and Heikin Ashi close is below the MA ⸻ 🛑 Stop Loss & Take Profit • SL is set using riskMult * ATR • TP is set using rewardMult * ATR Example: • If ATR = 10, riskMult = 1, rewardMult = 5 → SL = 10 points, TP = 50 points from entry ⸻ ⚖️ Break-even Logic (Optional) • If price moves in your favor by breakevenTicks * ATR, SL is moved to entry price. • Enabled via checkbox Enable Break Even. ⸻ 📉 Trailing Stop Logic (Optional) • Once break-even is hit, a trailing stop starts moving behind price by trailATRmult * ATR. • Trailing stop only activates after break-even is reached. • Enabled via checkbox Enable Trailing Stop. 📊 Visual Elements • Heikin Ashi candles are drawn on the main chart. • Trade zones are shaded between SL and TP during open trades. • Lines mark Entry, SL, TP, Break-even trigger. • Markers show entries and exits: • Green/red triangles = long/short entries • ✅ = Take profit hit • ❌ = Stop loss hit ✅ Best Use Case • Trending markets with strong pullbacks • Works on multiple timeframes • Better suited for assets with consistent volatility (ATR behavior)
Strategi Pine Script®
oleh averagemouse954
Advanced DMA Pattern Detection SystemAdvanced DMA Pattern Detection System with Smart Intelligence Professional-grade moving average indicator that combines traditional DMA analysis with advanced pattern recognition and probabilistic forecasting. Core Features: 6 Key DMAs (5, 10, 20, 50, 100, 200) with descriptive labels showing trading purpose Advanced Pattern Recognition - Detects Institutional Accumulation, Distribution Phases, Bull/Bear Transitions, and Choppy Markets Probability Engine - Assigns confidence scores (0-100%) with Low/Medium/High classifications Historical Validation - Tracks success rate of last 20 pattern signals for real performance data Smart Alert System - Only triggers on significant pattern changes (20%+ probability shifts) Dual Display System: Movable Information Table - Shows current pattern, probability, confidence level, success rate, and recommended action Chart Alerts & Background Colors - Visual confirmation of high-confidence setups (80%+ patterns) Traditional DMA Labels - Clear identification of each average's trading significance Complete Customization: Master on/off controls for entire system Individual toggles for all components (DMAs, table, alerts, colors) Adjustable alert sensitivity (Conservative/Medium/Aggressive) 6 table positions to fit any chart layout Perfect For: Swing traders, position traders, and anyone wanting systematic trend analysis with quantified probability scores rather than subjective interpretation. Bottom Line: Transforms basic moving averages into an intelligent trading system that tells you exactly what the market structure means and what to do about it.
Penunjuk Pine Script®
oleh Sakett_Guptaa
Consolidation Zones[RanaAlgo]Overview This indicator helps traders identify price consolidation zones (ranges) and potential breakouts in the market. It is useful for spotting periods of low volatility before significant price movements. How It Works Detects Consolidation Zones Uses the ADX (Average Directional Index) to determine when the market is in a consolidation phase . When ADX is below the threshold , the indicator marks the start of a consolidation zone. Draws a semi-transparent box around the price range, adjusting its height as new highs/lows form. Tracks Breakouts When price breaks above/below the consolidation box, it signals a potential trend continuation. Displays breakout arrows/labels (configurable shape & style) when price exits the range. Visual Features Boxes highlight consolidation areas (customizable color, border, and style). Labels show real-time status ("CONSOLIDATING" or "TRENDING"). Breakout signals appear as arrows or shapes (up/down). Usefulness in Trading Range Trading: Helps traders identify sideways markets for buying low and selling high. Breakout Trading: Signals potential trend entries when price exits consolidation. Trend Confirmation: Low ADX + consolidation box = weak trend; breakout = possible trend start. Example: If price stays in a blue box (consolidation) and then breaks above with an arrow, it suggests a bullish move.
Penunjuk Pine Script®
oleh RanaAlgo
GEEKSDOBYTE IFVG w/ Buy/Sell Signals1. Inputs & Configuration Swing Lookback (swingLen) Controls how many bars on each side are checked to mark a swing high or swing low (default = 5). Booleans to Toggle Plotting showSwings – Show small triangle markers at swing highs/lows showFVG – Show Fair Value Gap zones showSignals – Show “BUY”/“SELL” labels when price inverts an FVG showDDLine – Show a yellow “DD” line at the close of the inversion bar showCE – Show an orange dashed “CE” line at the midpoint of the gap area 2. Swing High / Low Detection isSwingHigh = ta.pivothigh(high, swingLen, swingLen) Marks a bar as a swing high if its high is higher than the highs of the previous swingLen bars and the next swingLen bars. isSwingLow = ta.pivotlow(low, swingLen, swingLen) Marks a bar as a swing low if its low is lower than the lows of the previous and next swingLen bars. Plotting If showSwings is true, small red downward triangles appear above swing highs, and green upward triangles below swing lows. 3. Fair Value Gap (3‐Bar) Identification A Fair Value Gap (FVG) is defined here using a simple three‐bar logic (sometimes called an “inefficiency” in price): Bullish FVG (bullFVG) Checks if, two bars ago, the low of that bar (low ) is strictly greater than the current bar’s high (high). In other words: bullFVG = low > high Bearish FVG (bearFVG) Checks if, two bars ago, the high of that bar (high ) is strictly less than the current bar’s low (low). In other words: bearFVG = high < low When either condition is true, it identifies a three‐bar “gap” or unfilled imbalance in the market. 4. Drawing FVG Zones If showFVG is enabled, each time a bullish or bearish FVG is detected: Bullish FVG Zone Draws a semi‐transparent green box from the bar two bars ago (where the gap began) at low up to the current bar’s high. Bearish FVG Zone Draws a semi‐transparent red box from the bar two bars ago at high down to the current bar’s low. These colored boxes visually highlight the “fair value imbalance” area on the chart. 5. Inversion (Fill) Detection & Entry Signals An inversion is defined as the price “closing through” that previously drawn FVG: Bullish Inversion (bullInversion) Occurs when a bullish FVG was identified on bar-2 (bullFVG), and on the current bar the close is greater than that old bar-2 low: bullInversion = bullFVG and close > low Bearish Inversion (bearInversion) Occurs when a bearish FVG was identified on bar-2 (bearFVG), and on the current bar the close is lower than that old bar-2 high: bearInversion = bearFVG and close < high When an inversion is true, the indicator optionally draws two lines and a label (depending on input toggles): Draw “DD” Line (yellow, solid) Plots a horizontal yellow line from the current bar’s close price extending five bars forward (bar_index + 5). This is often referred to as a “Demand/Daily Demand” line, marking where price inverted the gap. Draw “CE” Line (orange, dashed) Calculates the midpoint (ce) of the original FVG zone. For a bullish inversion: ce = (low + high) / 2 For a bearish inversion: ce = (high + low) / 2 Plots a horizontal dashed orange line at that midpoint for five bars forward. Plot Label (“BUY” / “SELL”) If showSignals is true, a green “BUY” label is placed at the low of the current bar when a bullish inversion occurs. Likewise, a red “SELL” label at the high of the current bar when a bearish inversion happens. 6. Putting It All Together Swing Markers (Optional): Visually confirm recent swing highs and swing lows with small triangles. FVG Zones (Optional): Highlight areas where price left a 3-bar gap (bullish in green, bearish in red). Inversion Confirmation: Wait for price to close beyond the old FVG boundary. Once that happens, draw the yellow “DD” line at the close, the orange dashed “CE” line at the zone’s midpoint, and place a “BUY” or “SELL” label exactly on that bar. User Controls: All of the above elements can be individually toggled on/off (showSwings, showFVG, showSignals, showDDLine, showCE). In Practice A bullish FVG forms whenever a strong drop leaves a gap in liquidity (three bars ago low > current high). When price later “fills” that gap by closing above the old low, the script signals a potential long entry (BUY), draws a demand line at the closing price, and marks the midpoint of that gap. Conversely, a bearish FVG marks a potential short zone (three bars ago high < current low). When price closes below that gap’s high, it signals a SELL, with similar lines drawn. By combining these elements, the indicator helps users visually identify inefficiencies (FVGs), confirm when price inverts/fills them, and place straightforward buy/sell labels alongside reference lines for trade management.
Penunjuk Pine Script®
oleh RayenGeeksdoByte
RSI Crossover Signal Companion - Alerts + Visuals🔷 RSI Crossover Signal Companion — Alerts + Visuals The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of recent price movements. It helps traders identify overbought or oversold conditions, possible trend reversals, and momentum strength. This utility builds on TradingView’s classic Relative Strength Index (RSI) by adding real-time alerts and triangle markers when the RSI crosses its own moving average — a common technique for early momentum detection. It is designed as a lightweight, visual companion tool for traders using RSI/MA crossover logic in manual or semi-automated strategies. 🔍 Features ✅ Preserves the full original RSI layout, including: • Gradient fill and overbought/oversold zones • Standard RSI input settings (length, source, etc.) • MA smoothing options with user-defined type and length 🔺 Adds visual triangle markers: 🔼 Up triangle when RSI crosses above its MA 🔽 Down triangle when RSI crosses below its MA 📢 Built-in alerts for RSI/MA crosses: “RSI Crossed Above MA” “RSI Crossed Below MA” 📈 How to Use This script is ideal for: • Spotting early momentum shifts • Confirming entries or exits in other systems (price action, trendlines, breakouts) • Building alert-based automation (webhooks, bots, etc.) Popular use cases: • Combine with trend indicators like MA200 or MA12 • Use in confluence with price structure and divergence • Validate breakout moves with momentum confirmation ⚙️ Customization RSI length, MA length, MA type, and source are fully adjustable Triangle marker size, shape, and color can be edited under Style Alerts are pre-built and ready for use
Penunjuk Pine Script®
oleh NovaTradeStar
Buy and Sell Pressure Signals (Clean)This script identifies strong buy and sell pressure based purely on candlestick structure — no indicators, no clutter. It highlights key reversal or momentum candles using minimal visuals: 🔼 Green Triangle (Buy Pressure): A bullish candle with a large body and small upper/lower wicks, indicating strong upward momentum and buyer control. 🔽 Red Triangle (Sell Pressure): A bearish candle with a large body and small wicks, showing strong downward momentum and seller dominance. Designed for traders who prefer clean, price-action-based signals without text labels or distracting overlays. Ideal for scalping, trend confirmation, or identifying exhaustion zones.
Penunjuk Pine Script®
oleh hankfdh
Equal High/Low (EQH/EQL) [AlgoAlpha]OVERVIEW This script detects and visualizes Equal High (EQH) and Equal Low (EQL) zones—key liquidity areas where price has previously stalled or reversed. These levels often attract institutional interest due to the liquidity buildup around them. The indicator is built to highlight such zones using dynamic thresholding, overbought/oversold RSI filtering, and adaptive mitigation logic to manage zone relevance over time. CONCEPTS Equal Highs/Lows are price points where the market has repeatedly failed to break past a certain high or low, hinting at areas where stop orders and pending interest may be concentrated. These areas are often prime targets for liquidity grabs or reversals. By combining this with RSI filtering, the script avoids false signals during neutral conditions and instead focuses on zones where market pressure is more directional. FEATURES Detection Logic: The script identifies EQH and EQL zones by comparing the similarity between recent highs or lows with a dynamic volatility threshold. The `tolerance` input allows users to control how strict this comparison is. RSI Filtering: If enabled, it only creates zones when RSI is significantly overbought or oversold (based on the `state_thresh` input). This helps ensure zones form only in meaningful market conditions. Zone Display: Bullish (EQL) zones are shown in grey, while bearish (EQH) zones are in blue. Two horizontal lines mark the zone using wick and body extremes, and a filled area visualizes the zone between them. Zone Management: Zones automatically extend with price until they’re invalidated. You can choose whether a zone is removed based on wick or body sweeps and whether it requires one or two candle confirmations. Zones also expire after a customizable number of bars. Alerts: Four alert conditions are built in—when a new EQH/EQL is formed and when one is mitigated—making it easy to integrate into alert-based workflows. USAGE Equal highs/lows can be used as liquidity markers, either as entry points or as take-profit targets. This tool is ideal for liquidity-based strategies and helps traders map out possible reversal or sweep zones that often precede aggressive moves.
Penunjuk Pine Script®
oleh AlgoAlpha
4
Global M2 YoY % Increase signalThe script produces a signal each time the global M2 increases more than 2.5%. This usually coincides with bitcoin prices pumps, except when it is late in the business cycle or the bitcoin price / halving cycle. It leverages dylanleclair Global M2 YoY % change, with several modifications: adding a 10 week lead at the YoY Change plot for better visibility, so that the bitcoin pump moreless coincides with the YoY change. signal increases > 2.5 in Global M2 at the point at which they occur with a green triangle up.
Penunjuk Pine Script®
oleh UnderstandingBitcoinPrice
1
Stochastics + CM Williams VixFix (Simple Buy Signal)📈 Stochastics + CM Williams VixFix (Simple Buy Signal) This indicator combines two powerful tools to detect potential bottoming opportunities: ✅ Stochastics: Looks for momentum reversals. A signal is triggered when both %K and %D are below the oversold threshold (default: 20), suggesting the asset is deeply oversold. ✅ CM Williams Vix Fix: A volatility-based fear detector. When it spikes above its dynamic threshold, it indicates potential panic selling — often preceding a market bounce. 💡 Buy Signal is generated when: %K and %D are both below 20 VixFix shows a volatility spike (green condition) Use this script to identify high-probability reversal setups, especially during market corrections or panic phases.
Penunjuk Pine Script®
oleh aldofg
Auto TrendLines [TradingFinder] Support Resistance Signal Alerts🔵 Introduction The trendline is one of the most essential tools in technical analysis, widely used in financial markets such as Forex, cryptocurrency, and stocks. A trendline is a straight line that connects swing highs or swing lows and visually indicates the market’s trend direction. Traders use trendlines to identify price structure, the strength of buyers and sellers, dynamic support and resistance zones, and optimal entry and exit points. In technical analysis, trendlines are typically classified into three categories: uptrend lines (drawn by connecting higher lows), downtrend lines (formed by connecting lower highs), and sideways trends (moving horizontally). A valid trendline usually requires at least three confirmed touchpoints to be considered reliable for trading decisions. Trendlines can serve as the foundation for a variety of trading strategies, such as the trendline bounce strategy, valid breakout setups, and confluence-based analysis with other tools like candlestick patterns, divergences, moving averages, and Fibonacci levels. Additionally, trendlines are categorized into internal and external, and further into major and minor levels, each serving unique roles in market structure analysis. 🔵 How to Use Trendlines are a key component in technical analysis, used to identify market direction, define dynamic support and resistance zones, highlight strategic entry and exit points, and manage risk. For a trendline to be reliable, it must be drawn based on structural principles—not by simply connecting two arbitrary points. 🟣 Selecting Pivot Types Based on Trend Direction The first step is to determine the market trend: uptrend, downtrend, or sideways. Then, choose pivot points that match the trend type : In an uptrend, trendlines are drawn by connecting low pivots, especially higher lows. In a downtrend, trendlines are formed by connecting high pivots, specifically lower highs. It is crucial to connect pivots of the same type and structure to ensure the trendline is valid and analytically sound. 🟣 Pivot Classification This indicator automatically classifies pivot points into two categories : Major Pivots : MLL : Major Lower Low MHL : Major Higher Low MHH : Major Higher High MLH : Major Lower High These define the primary structure of the market and are typically used in broader structural analysis. Minor Pivots : mLL: minor Lower Low mHL: minor Higher Low mHH: minor Higher High mLH: minor Lower High These are used for drawing more precise trendlines within corrective waves or internal price movements. Example : In a downtrend, drawing a trendline from an MHH to an mHH creates structural inconsistency and introduces noise. Instead, connect points like MHL to MHL or mLH to mLH for a valid trendline. 🟣 Drawing High-Precision Trendlines To ensure a reliable trendline : Use pivots of the same classification (Major with Major or Minor with Minor). Ensure at least three valid contact points (three touches = structural confirmation). Draw through candles with the least deviation (choose wicks or bodies based on confluence). Preferably draw from right to left for better alignment with current market behavior. Use parallel lines to turn a single trendline into a trendline zone, if needed. 🟣 Using Trendlines for Trade Entries Bounce Entry: When price approaches the trendline and shows signs of reversal (e.g., a reversal candle, divergence, or support/resistance), enter in the direction of the trend with a logical stop-loss. Breakout Entry: When price breaks through the trendline with strong momentum and a confirmation (such as a retest or break of structure), consider trading in the direction of the breakout. 🟣 Trendline-Based Risk Management For bounce entries, the stop-loss is placed below the trendline or the last pivot low (in an uptrend). For breakout entries, the stop-loss is set behind the breakout candle or the last structural level. A broken trendline can also act as an exit signal from a trade. 🟣 Combining Trendlines with Other Tools (Confluence) Trendlines gain much more strength when used alongside other analytical tools : Horizontal support and resistance levels Moving averages (such as EMA 50 or EMA 200) Fibonacci retracement zones Candlestick patterns (e.g., Engulfing, Pin Bar) RSI or MACD divergences Market structure breaks (BoS / ChoCH) 🔵 Settings Pivot Period : This defines how sensitive the pivot detection is. A higher number means the algorithm will identify more significant pivot points, resulting in longer-term trendlines. Alerts Alert : Enable or disable the entire alert system Set a custom alert name Choose how often alerts trigger (every time, once per bar, or on bar close) Select the time zone for alert timestamps (e.g., UTC) Each trendline type supports two alert types : Break Alert : Triggered when price breaks the trendline React Alert : Triggered when price reacts or bounces off the trendline These alerts can be independently enabled or disabled for all trendline categories (Major/Minor, Internal/External, Up/Down). Display : For each of the eight trendline types, you can control : Whether to show or hide the line Whether to delete the previous line when a new one is drawn Color, line style (solid, dashed, dotted), extension direction (e.g., right only), and width Major lines are typically thicker and more opaque, while minor lines appear thinner and more transparent. All settings are designed to give the user full control over the appearance, behavior, and alert system of the indicator, without requiring manual drawing or adjustments. 🔵 Conclusion A trendline is more than just a line on the chart—it is a structural, strategic, and flexible tool in technical analysis that can serve as the foundation for understanding price behavior and making trading decisions. Whether in trending markets or during corrections, trendlines help traders identify market direction, key zones, and high-potential entry and exit points with precision. The accuracy and effectiveness of a trendline depend on using structurally valid pivot points and adhering to proper market logic, rather than relying on guesswork or personal bias. This indicator is built to solve that exact problem. It automatically detects and draws multiple types of trendlines based on actual price structure, separating them into Major/Minor and Internal/External categories, and respecting professional analytical principles such as pivot type, trend direction, and structural location.
Penunjuk Pine Script®
oleh TFlab
8
Bitcoin Polynomial Regression ModelThis is the main version of the script. Click here for the Oscillator part of the script. 💡Why this model was created: One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model). This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here . 📉The theory of diminishing returns: This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles. To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/ 🔧Creation of the model: For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section. This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function: ax^3 +bx^2 + cx + d. In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows: Top regression line (x, y) values: 113, 18.6 240, 1004 451, 19128 655, 65502 Bottom regression line (x, y) values: 103, 2.5 267, 211 471, 3193 676, 16255 The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found: Top regression line parameter values: a: 0.000202798 b: 0.0872922 c: -30.88805 d: 1827.14113 Bottom regression line parameter values: a: 0.000138314 b: -0.0768236 c: 13.90555 d: -765.8892 📊Polynomial Regression Oscillator: This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula: normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line) This transformation results in a price value between 0 and 1 between both the regression lines. The Oscillator version can be found here. 🔍Interpretation of the Model: In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom. The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom. Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below. 🔮Future Predictions: Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom: In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top. Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026. Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026. For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow: And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
Penunjuk Pine Script®
oleh Cryptonerds
1
Bitcoin Polynomial Regression OscillatorThis is the oscillator version of the script. Click here for the other part of the script. 💡Why this model was created: One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model). This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here . 📉The theory of diminishing returns: This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles. To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/ 🔧Creation of the model: For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section. This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function: ax^3 +bx^2 + cx + d. In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows: Top regression line (x, y) values: 113, 18.6 240, 1004 451, 19128 655, 65502 Bottom regression line (x, y) values: 103, 2.5 267, 211 471, 3193 676, 16255 The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found: Top regression line parameter values: a: 0.000202798 b: 0.0872922 c: -30.88805 d: 1827.14113 Bottom regression line parameter values: a: 0.000138314 b: -0.0768236 c: 13.90555 d: -765.8892 📊Polynomial Regression Oscillator: This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula: normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line) This transformation results in a price value between 0 and 1 between both the regression lines. 🔍Interpretation of the Model: In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom. The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom. Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below. 🔮Future Predictions: Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom: In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top. Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026. Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026. For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow: And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
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