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Bands and Channels

RSI Shift Zone [ChartPrime]OVERVIEW RSI Shift Zone is a sentiment-shift detection tool that bridges momentum and price action. It plots dynamic channel zones directly on the price chart whenever the RSI crosses above or below critical thresholds (default: 70 for overbought, 30 for oversold). These plotted zones reveal where market sentiment likely flipped, helping traders pinpoint powerful support/resistance clusters and breakout opportunities in real time. ⯁ HOW IT WORKS When the RSI crosses either the upper or lower level: A new Shift Zone channel is instantly formed. The channel’s boundaries anchor to the high and low of the candle at the moment of crossing. A mid-line (average of high and low) is plotted for easy visual reference. The channel remains visible on the chart for at least a user-defined minimum number of bars (default: 15) to ensure only meaningful shifts are highlighted. The channel is color-coded to reflect bullish or bearish sentiment, adapting dynamically based on whether the RSI breached the upper or lower level. Labels with actual RSI values can also be shown inside the zone for added context. ⯁ KEY TECHNICAL DETAILS Uses a standard RSI calculation (default length: 14). Detects crossovers above the upper level (trend strength) and crossunders below the lower level (oversold exhaustion). Applies the channel visually on the main chart , rather than only in the indicator pane — giving traders a precise map of where sentiment shifts have historically triggered price reactions. Auto-clears the zone when the minimum bar length is satisfied and a new shift is detected. ⯁ USAGE Traders can use these RSI Shift Zones as powerful tactical levels: Treat the channel’s high/low boundaries as dynamic breakout lines — watch for candles closing beyond them to confirm fresh trend continuation. Use the midline as an equilibrium reference for pullbacks within the zone. Visual RSI value labels offer quick checks on whether the zone formed due to extreme overbought or oversold conditions. CONCLUSION RSI Shift Zone transforms a simple RSI threshold crossing into a meaningful structural tool by projecting sentiment flips directly onto the price chart. This empowers traders to see where momentum-based turning points occur and leverage those levels for breakout plays, reversals, or high-confidence support/resistance zones — all in one glance.
Pine Script® indicator
by ChartPrime
9
GainzAlgo V2 [Essential]// © GainzAlgo //@version=5 indicator('GainzAlgo V2 ', overlay=true, max_labels_count=500) show_tp_sl = input.bool(true, 'Display TP & SL', group='Techical', tooltip='Display the exact TP & SL price levels for BUY & SELL signals.') rrr = input.string('1:2', 'Risk to Reward Ratio', group='Techical', options= , tooltip='Set a risk to reward ratio (RRR).') tp_sl_multi = input.float(1, 'TP & SL Multiplier', 1, group='Techical', tooltip='Multiplies both TP and SL by a chosen index. Higher - higher risk.') tp_sl_prec = input.int(2, 'TP & SL Precision', 0, group='Techical') candle_stability_index_param = 0.5 rsi_index_param = 70 candle_delta_length_param = 4 disable_repeating_signals_param = input.bool(true, 'Disable Repeating Signals', group='Techical', tooltip='Removes repeating signals. Useful for removing clusters of signals and general clarity.') GREEN = color.rgb(29, 255, 40) RED = color.rgb(255, 0, 0) TRANSPARENT = color.rgb(0, 0, 0, 100) label_size = input.string('huge', 'Label Size', options= , group='Cosmetic') label_style = input.string('text bubble', 'Label Style', , group='Cosmetic') buy_label_color = input(GREEN, 'BUY Label Color', inline='Highlight', group='Cosmetic') sell_label_color = input(RED, 'SELL Label Color', inline='Highlight', group='Cosmetic') label_text_color = input(color.white, 'Label Text Color', inline='Highlight', group='Cosmetic') stable_candle = math.abs(close - open) / ta.tr > candle_stability_index_param rsi = ta.rsi(close, 14) atr = ta.atr(14) bullish_engulfing = close < open and close > open and close > open rsi_below = rsi < rsi_index_param decrease_over = close < close var last_signal = '' var tp = 0. var sl = 0. bull_state = bullish_engulfing and stable_candle and rsi_below and decrease_over and barstate.isconfirmed bull = bull_state and (disable_repeating_signals_param ? (last_signal != 'buy' ? true : na) : true) bearish_engulfing = close > open and close < open and close < open rsi_above = rsi > 100 - rsi_index_param increase_over = close > close bear_state = bearish_engulfing and stable_candle and rsi_above and increase_over and barstate.isconfirmed bear = bear_state and (disable_repeating_signals_param ? (last_signal != 'sell' ? true : na) : true) round_up(number, decimals) => factor = math.pow(10, decimals) math.ceil(number * factor) / factor if bull last_signal := 'buy' dist = atr * tp_sl_multi tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist tp := round_up(close + tp_dist, tp_sl_prec) sl := round_up(close - dist, tp_sl_prec) if label_style == 'text bubble' label.new(bar_index, low, 'BUY', color=buy_label_color, style=label.style_label_up, textcolor=label_text_color, size=label_size) else if label_style == 'triangle' label.new(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_triangleup, textcolor=TRANSPARENT, size=label_size) else if label_style == 'arrow' label.new(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_arrowup, textcolor=TRANSPARENT, size=label_size) label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + ' SL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_down, textcolor=label_text_color) if bear last_signal := 'sell' dist = atr * tp_sl_multi tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist tp := round_up(close - tp_dist, tp_sl_prec) sl := round_up(close + dist, tp_sl_prec) if label_style == 'text bubble' label.new(bear ? bar_index : na, high, 'SELL', color=sell_label_color, style=label.style_label_down, textcolor=label_text_color, size=label_size) else if label_style == 'triangle' label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_triangledown, textcolor=TRANSPARENT, size=label_size) else if label_style == 'arrow' label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_arrowdown, textcolor=TRANSPARENT, size=label_size) label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + ' SL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_up, textcolor=label_text_color) alertcondition(bull or bear, 'BUY & SELL Signals', 'New signal!') alertcondition(bull, 'BUY Signals (Only)', 'New signal: BUY') alertcondition(bear, 'SELL Signals (Only)', 'New signal: SELL')
Pine Script® indicator
by prayagp363
Momentum_EMABand📢 Reposting this script as the previous version was shut down due to house rules. Follow for future updates. The Momentum EMA Band V1 is a precision-engineered trading indicator designed for intraday traders and scalpers. This first version integrates three powerful technical tools — EMA Bands, Supertrend, and ADX — to help identify directional breakouts while filtering out noise and choppy conditions. How the Indicator Works – Combined Logic This script blends distinct but complementary tools into a single, visually intuitive system: 1️⃣ EMA Price Band – Dynamic Zone Visualization Plots upper and lower EMA bands (default: 9-period) to form a dynamic price zone. Green Band: Price > Upper Band → Bullish strength Red Band: Price < Lower Band → Bearish pressure Yellow Band: Price within Band → Neutral/consolidation zone 2️⃣ Supertrend Overlay – Reliable Trend Confirmation Based on customizable ATR length and multiplier, Supertrend adds a directional filter. Green Line = Uptrend Red Line = Downtrend 3️⃣ ADX-Based No-Trade Zone – Choppy Market Filter Manually calculated ADX (default: 14) highlights weak trend conditions. ADX below threshold (default: 20) + Price within Band → Gray background, signaling low-momentum zones. Optional gray triangle marker flags beginning of sideways market. Why This Mashup & How the Indicators Work Together This mashup creates a high-conviction, rules-based breakout system: Supertrend defines the primary trend direction — ensuring trades are aligned with momentum. EMA Band provides structure and timing — confirming breakouts with retest logic, reducing false entries. ADX measures trend strength — filtering out sideways markets and enhancing trade quality. Each component plays a specific role: ✅ Supertrend = Trend bias ✅ EMA Band = Breakout + Retest validation ✅ ADX = Momentum confirmation Together, they form a multi-layered confirmation model that reduces noise, avoids premature entries, and improves trade accuracy. 💡 Practical Application Momentum Breakouts: Enter when price breaks out of EMA Band with Supertrend confirmation Avoid Whipsaws: Skip trades during gray-shaded low-momentum periods Intraday Scalping Edge: Tailored for lower timeframes (5min–15min) where noise is frequent ⚠️ Important Disclaimer This is Version 1 — expect future enhancements based on trader feedback. This tool is for educational purposes only. No indicator guarantees profitability. Use with proper risk management and strategy validation.
Pine Script® indicator
by laraibislam
1
Custom MA Crossover with Labels/* This indicator displays two customizable moving averages (Fast and Slow), defaulting to 10-period and 100-period respectively. Key Features: - You can choose between Simple Moving Average (SMA) or Exponential Moving Average (EMA). - When the Fast MA crosses above the Slow MA, a green "BUY" label appears below the candle. - When the Fast MA crosses below the Slow MA, a red "SELL" label appears above the candle. - Alerts are available for both Buy and Sell crossovers. Usage: - Helps identify trend direction and potential entry/exit points. - Commonly used in trend-following strategies and crossover systems. - Suitable for all timeframes and assets. Tip: - You can adjust the Fast and Slow MA periods to fit your trading strategy. - Try using this with volume or momentum indicators for confirmation. */
Pine Script® indicator
by robertjomaro
VectorTraderMBK 714 vertical linesVectorTraderMBK 714 vertical lines. This TradingView indicator allows you to mark two customizable times on your chart with vertical red lines. Designed to work seamlessly on 5-minute timeframes, it draws precise vertical lines at the exact UTC times you specify in the indicator’s settings. Key Features: User-friendly inputs to set the hour and minute for two separate vertical lines Automatically plots vertical lines at the selected UTC times every trading day Compatible with charts set to the UTC timezone (UTC+0) Lines extend vertically across the entire visible chart for easy visual reference Ideal for marking important market sessions, news events, or specific trading windows Use this indicator to visually track critical time points on your charts and improve your trading timing How it works. To setup the 714 Method, 1.Go to Indicator settings 2. Change Value of First Line Hour to 7 3. Change Value of Secound Line Hour to 8 4. Save as defaults.
Pine Script® indicator
by MBKDaytrader
Makki MultiEdge Analyzer 2000This script combines Bollinger Band interactions, RSI momentum confirmation, EMA crossovers, and divergence detection to generate filtered BUY signals. It uses 5-minute and 15-minute timeframe logic to improve timing and reduce false entries. ### 🔹 BUY signal logic: A BUY label will only appear when: • Price is near the lower Bollinger Band • RSI shows a rebound or is climbing from oversold zones • There is a strong bullish candle, a golden cross (EMA), or a positive divergence • AND no overbought/exit filter is active ### 💎 Entry filter (diamond): Appears when a clean bounce is detected on the 5-minute chart. This is **not a BUY** but a preparation signal — useful to monitor for an upcoming opportunity. ### ⛔ Exit filter: Triggers when 15m RSI is overbought (>68), price touches the 15m upper Bollinger Band, and 5m momentum weakens. Blocks BUY signals and helps avoid entries during overextended moves. ### 🔺/🔻 Mild Support/Resistance markers: - **🔺 Green upward triangle:** appears when RSI rebound or mild support conditions exist, but not enough for a BUY - **🔻 Red downward triangle:** appears when bearish momentum, EMA crossdown, overbought RSI, or negative divergence is detected ### ❌ RSI Warnings: - **Orange X above the bar:** RSI > 75 (overbought warning) - **Orange X below the bar:** RSI < 25 (oversold warning) ### 🧠 Usage recommendation: - Wait for a 💎 as early preparation - Enter only if a BUY signal follows with no ⛔ warning present - Avoid BUYs that appear after ⛔ or during RSI > 75 (orange X) unless very strong reversal confirmation exists - 🔺 triangles can help monitor early support but are not sufficient alone ### 🕒 Timeframe: - Best used on 5-minute chart - Filtering logic pulls RSI and Bollinger data from 5m and 15m timeframes - Higher timeframes (15m–1H) can be used for overall trend direction All alerts are included for: BUY, entry filter (💎), exit warning (⛔), RSI warnings (❌), and support/resistance markers (🔺/🔻). This script is for educational purposes only and does not constitute financial advice.
Pine Script® indicator
by makkik
Bitcoin Stock-to-Flow Model Price Bands# Bitcoin Stock-to-Flow Model Price Bands Overview This indicator implements the famous Stock-to-Flow (S2F) model created by PlanB (@100trillionUSD), which uses Bitcoin's scarcity to predict its long-term value. The S2F model has gained significant attention for its historical accuracy in capturing Bitcoin's price movements across multiple market cycles. What is Stock-to-Flow? Stock-to-Flow is a ratio that measures scarcity by dividing the current supply (stock) by the annual production (flow). The model suggests that as Bitcoin becomes scarcer through halving events, its value should increase proportionally. This indicator features: Dynamic S2F Calculation - Automatically calculates Bitcoin's current supply based on block height - Adjusts for halving events (every 210,000 blocks) - Updates the S2F ratio in real-time Visual Elements - Orange Line: S2F model price based on the formula: Price = 0.4 × S2F³ - Confidence Bands: Upper (red) and lower (green) bands showing expected price ranges - Colored Candles: Green when above model price, red when below - Info Table: Displays current S2F ratio, model price, actual price, and price multiple Customizable Parameters - Model Coefficient: Adjust the multiplier (default: 0.4) - Model Exponent: Modify the power factor (default: 3.0) - Band Width: Control confidence band spread (1-5 standard deviations) - Display Options: Toggle individual elements on/off Built-in Alerts - Price crossing above/below S2F model price - Price exceeding upper/lower confidence bands How to Use 1. Trend Identification: When price is above the orange S2F line, Bitcoin may be overvalued; below suggests undervaluation 2. Cycle Analysis: The model steps up at each halving, creating distinct price "floors" 3. Risk Management: Use confidence bands to identify extreme deviations from the model 4. Long-term Perspective: Best suited for macro analysis rather than short-term trading Important to understand: This is a model, not a guarantee. The S2F model: - Assumes scarcity is the primary driver of value - Doesn't account for demand-side factors - Has shown deviations during certain market conditions - Should be used alongside other analysis methods Model Performance Historically, the S2F model has captured major Bitcoin price movements: - 2013 Bull Run: Price followed model predictions - 2017 Peak: Reached model targets - 2021 Cycle: Initially tracked, then deviated - 2024-2025: Model suggests $500k-$1M potential Technical Details - Uses logarithmic regression similar to the original S2F model - Accounts for "lost" coins (est. 1M BTC from early mining) - Implements dynamic supply calculation through halving cycles - Confidence bands use log-normal distribution Best Timeframes - Weekly/Monthly: Ideal for long-term trend analysis Credits Based on the Stock-to-Flow model by PlanB (@100trillionUSD) Original article: "Modeling Bitcoin's Value with Scarcity" (2019)
Pine Script® indicator
by CryptoForMoney
Bitcoin Power Law ModelBitcoin Power Law Model with Cycle Predictions Scientific Price Modeling for Bitcoin This indicator implements **Dr. Giovanni Santostasi's Bitcoin Power Law Theory** - a discovery that Bitcoin's price follows mathematical laws similar to natural phenomena. Unlike traditional financial models, this treats Bitcoin as a scale-invariant system that grows predictably over time. What Makes This Special Dr. Santostasi, an astrophysicist who studied gravitational waves, discovered that Bitcoin's price forms a perfect straight line when plotted on a log-log scale over its entire 15-year history. This isn't just another technical indicator - it's a fundamental law that has held true through multiple 80%+ crashes and recoveries. Core Features Power Law Model - Orange Line: The power law trajectory showing Bitcoin's long-term growth path - Yellow Line: Fair value (geometric mean between support and resistance) - Green/Red Bands: Support and resistance levels that have historically contained price movements - Band Position %: Shows exactly where price sits within the power law channel (0-100%) How to Use It For Long-term Investors 1. Accumulate when price is near the green support line (band position < 20%) 2. Hold when price is between the bands 3. Consider profits when approaching red resistance (band position > 80%) 4. Never panic - the model shows $30K+ is now the permanent floor Key Metrics to Watch - **Band Position: <20% = Oversold, >80% = Overbought - Fair Value: Price above = Overvalued, below = Undervalued - Support Line: Breaking below suggests model invalidation Current Cycle Projections Based on the November 2022 bottom at ~$15,500: - Cycle Peak: ~$155,000-$230,000 (October 2025) - Next Bottom: ~$70,000-$100,000 (October 2026) - Long-term: $1 million by 2033 (power law projection) Customizable Settings Model Parameters - Intercept & Slope: Fine-tune the power law formula - Band Offsets: Adjust support/resistance distances Display Options - Toggle each visual element on/off - Show/hide future projections - Enable/disable cycle analysis - Customize halving markers Understanding the Math The model uses the formula: **Price = 10^(A + B × log10(days since genesis))** Where: - A = -17.01 (intercept) - B = 5.82 (slope) - Days counted from Bitcoin's genesis block (Jan 3, 2009) This creates parallel support/resistance lines in log-log space that have contained Bitcoin's price for 15+ years. Important 1.Not Financial Advice: This is a mathematical model, not a guarantee 2. Long-term Focus: Best suited for macro analysis, not day trading 3. Model Limitations: Past performance doesn't ensure future results 4. Volatility Expected: 50-80% drawdowns are normal within the model Background Dr. Giovanni Santostasi discovered this model while analyzing Bitcoin through the lens of physics. He found that Bitcoin behaves more like a city or organism than a financial asset, growing according to universal power laws found throughout
Pine Script® indicator
by CryptoForMoney
EMA 6/16/55/100/200 ฺBy Smurojคำอธิบายเป็นภาษาไทย ชุด EMA นี้ประกอบด้วยเส้นค่าเฉลี่ยเคลื่อนที่แบบเอ็กซ์โปเนนเชียล (EMA) ระยะเวลาต่าง ๆ ซึ่งถูกนำมาใช้เพื่อวิเคราะห์แนวโน้มราคาในระยะต่าง ๆ ดังนี้: EMA 6 และ 16: ใช้สำหรับดูแนวโน้มระยะสั้นและการเปลี่ยนแปลงราคาที่รวดเร็ว EMA 55: เป็นแนวโน้มระยะกลาง EMA 100 และ 200: เป็นแนวโน้มระยะยาว ซึ่งช่วยดูภาพรวมของแนวโน้มตลาดในระดับลึก การใช้งานในการเทรด: ถ้าราคาอยู่เหนือ EMA ระยะต่าง ๆ แสดงถึงแนวโน้มขาขึ้น ถ้าราคาอยู่ต่ำกว่า EMA ระยะต่าง ๆ แสดงถึงแนวโน้มขาลง การตัดกันของ EMA สั้นและยาว เช่น EMA 6 ตัด EMA 16 ขึ้นบน อาจเป็นสัญญาณซื้อ การตัดกันในทางตรงกันข้าม อาจเป็นสัญญาณขาย การใช้หลายเส้นช่วยยืนยันแนวโน้มและลดความผิดพลาดในการตัดสินใจ English Explanation This EMA set consists of various Exponential Moving Average lines over different periods, which are used to analyze price trends across various timeframes: EMA 6 and 16: For short-term trend analysis and quick price changes. EMA 55: Represents a medium-term trend. EMA 100 and 200: Indicate long-term trends, helping to view the overall market direction. How to use in trading: When price is above these EMA lines, it suggests an uptrend. When price is below these EMA lines, it indicates a downtrend. Crossovers between short and longer EMAs (e.g., EMA 6 crossing above EMA 16) can signal buy opportunities. Conversely, crossovers downward can signal sell opportunities. Using multiple EMA lines helps confirm the trend and reduce false signals.
Pine Script® indicator
by smuroj
Keltner BandWidthThis script measures the bandwidth of Keltner Channels using the same formula as is typical for Bollinger Bandwidth - (Upper band - Lower Band)/Basis where basis is the 20 period moving average. In the case of Keltner Channels, the basis uses the exponential moving average and a 10-period Average True Range as the multiplier. My use case for the indicator is to compare Bollinger Bandwidth to three different KC parameters (multipliers of 1x, 1.5x and 2x) for the identification of squeeze conditions used in the Simpler Trading Squeeze Pro indicator.
Pine Script® indicator
by jimicarr
走過灬today - 零滞后交叉 V250723（三重指数移动平均）构建，并进行了零滞后处理。它通过计算两条不同周期（一条快线和一条慢线）的交叉来产生交易信号。 主要特点： 1. 使用零滞后来减少传统移动平均线的滞后性。 2. 提供多种数据源选择，包括常规价格、Heikin-Ashi（HA）价格以及经过平滑处理的Heikin-Ashi（HAB）价格。 3. 可以设置快速周期和慢速周期，当快线上穿慢线时产生买入信号，下穿时产生卖出信号。 4. 在图表上以不同颜色显示两条线，并且可以根据交叉情况为K线着色。 5. 可以显示交易信号（三角形标记）和设置警报。 使用步骤： 1. 将指标添加到图表。 2. 在设置中调整参数： - 数据源设置：选择计算TEMA的价格来源（例如收盘价、HA收盘价等）和HAB计算类型（AMA、T3、Kaufman）。 - 基本设置：设置快速周期（默认22）和慢速周期（默认144）。 - 移动平均输入：根据选择的HAB计算类型，可能需要设置相关参数（如KAMA的快速端和慢速端，T3的热值等）。 - 界面选项：选择是否着色K线，是否显示信号。 3. 观察图表上的两条线（快线和慢线）以及出现的信号标记。 信号规则： - 当快线（绿色）上穿慢线（白色）时，出现一个黄色的“多”字三角形（在K线下方），表示买入信号。 - 当快线下穿慢线时，出现一个粉色的“空”字三角形（在K线上方），表示卖出信号。 此外，该指标还设置了警报条件，可以在满足信号条件时触发警报。 (Triple Exponential Moving Average) with zero lag. It generates trading signals by calculating the crossover of two different periods (a fast line and a slow line). Main features: 1. Use zero lag to reduce the lag of traditional moving averages. 2. Provide a variety of data source options, including regular prices, Heikin-Ashi (HA) prices, and smoothed Heikin-Ashi (HAB) prices. 3. Fast and slow periods can be set, and a buy signal is generated when the fast line crosses the slow line, and a sell signal is generated when it crosses below. 4. Display two lines in different colors on the chart, and the K-line can be colored according to the crossover situation. 5. Trading signals (triangle marks) can be displayed and alerts can be set. Steps to use: 1. Add the indicator to the chart. 2. Adjust parameters in the settings: - Data source settings: Select the price source for calculating TEMA (such as closing price, HA closing price, etc.) and the HAB calculation type (AMA, T3, Kaufman). - Basic settings: Set the fast period (default 22) and slow period (default 144). - Moving average input: Depending on the selected HAB calculation type, you may need to set relevant parameters (such as the fast and slow ends of KAMA, the heat value of T3, etc.). - Interface options: Choose whether to color the K-line and whether to display the signal. 3. Observe the two lines (fast and slow) on the chart and the signal mark that appears. Signal rules: - When the fast line (green) crosses the slow line (white), a yellow "long" triangle appears (below the K-line), indicating a buy signal. - When the fast line crosses the slow line, a pink "empty" triangle appears (above the K-line), indicating a sell signal. In addition, the indicator also sets alarm conditions, which can trigger alarms when the signal conditions are met.
Pine Script® indicator
by xiayubin1
MA Crossover with Dots📘 Strategy Description – Moving Average Crossover with Dot Signals This indicator is based on a Simple Moving Average (SMA) crossover strategy, which is a classic method to identify trend changes and potential buy/sell signals in the market. 📊 Core Logic: It calculates two SMAs: Fast SMA: 20-period moving average (short-term trend) Slow SMA: 50-period moving average (longer-term trend) ✅ Buy Signal (Green Dot): When the Fast SMA crosses above the Slow SMA, a Buy signal is generated. This suggests bullish momentum or the start of an uptrend. ❌ Sell Signal (Red Dot): When the Fast SMA crosses below the Slow SMA, a Sell signal is generated. This suggests bearish momentum or the start of a downtrend. 📍 Visual Representation: The Buy and Sell signals are plotted as colored dots at different levels: Green dot = Buy Red dot = Sell The dots are plotted at fixed vertical positions in a separate panel below the chart for better clarity and to avoid overlap.
Pine Script® indicator
by vishaldenzil12
Momentum BandsMomentum Bands indicator-->technical tool that measures the rate of price change and surrounds this momentum with adaptive bands to highlight overbought and oversold zones. Unlike Bollinger Bands, which track price, these bands track momentum itself, offering a unique view of market strength and exhaustion points. At its core, it features a blue momentum line that calculates the rate of change over a set period, an upper red band marking dynamic resistance created by adding standard deviations to the momentum average, a lower green band marking dynamic support by subtracting standard deviations, and a gray middle line representing the average of momentum as a central anchor. When the momentum line touches or moves beyond the upper red band, it often signals that the market may be overbought and a pullback or reversal could follow; traders might lock in profits or watch for short setups. Conversely, when it drops below the lower green band, it can suggest an oversold market primed for a bounce, prompting traders to look for buying opportunities. If momentum remains between the bands, it typically indicates balanced conditions where waiting for stronger signals at the extremes is wise. The indicator can be used in contrarian strategies—buying near the lower band and selling near the upper—or in trend-following setups by waiting for momentum to return toward the centerline before entering trades. For stronger confirmation, traders often combine it with volume spikes, support and resistance analysis, or other trend tools, and it’s useful to check multiple timeframes to spot consistent patterns. Recommended settings vary: short-term traders might use a 7–10 period momentum with 14-period bands; medium-term traders might keep the default 14-period momentum and 20-period bands; while long-term analysis might use 21-period momentum and 50-period bands. Visually, background colors help spot extremes: red for strong overbought, green for strong oversold, and no color for normal markets, alongside reference lines at 70, 30, and 0 to guide traditional overbought, oversold, and neutral zones. Typical bullish signals include momentum rebounding from the lower band, crossing back above the middle after being oversold, or showing divergence where price makes new lows but momentum doesn’t. Bearish signals might appear when momentum hits the upper band and weakens, drops below the middle after being overbought, or price makes new highs while momentum fails to follow. The indicator tends to work best in mean-reverting or sideways markets rather than strong trends, where overbought and oversold conditions tend to repeat.
Pine Script® indicator
by ValerioDiotallevi19