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DBG X WOLONG📊 USER GUIDE – DBG X WOLONG ALGORITHM 🎯 OVERVIEW The DBG X WOLONG Future Algorithm is a Pine Script v5 that integrates multiple advanced technical indicators, enabling traders to analyze markets and make precise trading decisions. ⚙️ MAIN SETTINGS 🔹 Sensitivity Value: 1–20 (Default: 6) Function: Adjusts the sensitivity of the SuperTrend signal Guidelines: Low value (1–5): Fewer signals, higher accuracy High value (15–20): More signals, but with possible noise 🎨 DISPLAY SETTINGS 🔹 Candle Colors Version 1: Based on MACD histogram Version 2: Based on SuperTrend 🔹 Color Themes Theme 1: Traditional Green/Red Theme 2: Gold/Purple Theme 3: Blue/Orange No Fill: No background color displayed 📊 TRADING SIGNALS 🔹 Buy/Sell Signals BUY 🚀 appears when: SuperTrend shifts from bearish to bullish Closing price > SMA 13 Braid Filter confirms SELL appears when: SuperTrend shifts from bullish to bearish Closing price < SMA 13 Braid Filter confirms 🔹 Reversal Signals ▲ (Up Arrow): Buy signal when RSI crosses above 30 ▼ (Down Arrow): Sell signal when RSI crosses below 70 🔹 Pullback Signals ▲ Purple: Pullback in bullish trend ▼ Purple: Pullback in bearish trend 🎯 TAKE PROFIT & STOP LOSS 🔹 TP Modes Version 1: TP based on pivot points Version 2: TP based on regression line Close Price: TP at candle close 🔹 TP/SL Settings TP Ratio: 2.0 (Default) TP Length: 150 (Default) ATR SL Length: 10 ATR SL Risk: 1.9 🔹 Labels Displayed ENTRY: Entry point STOP LOSS: Stop loss point TP 1/2/3: 3 take profit levels ☁️ MOVING AVERAGE CLOUD 🔹 Supported MA Types SMA – Simple Moving Average EMA – Exponential Moving Average WMA – Weighted Moving Average HMA – Hull Moving Average ALMA – Arnaud Legoux Moving Average McGinley – McGinley Dynamic FRAMA – Fractal Adaptive Moving Average 🔹 Cloud Cycles Default: 2, 6, 11, 18, 21, 24, 28, 34 Customizable: All 8 cycles 🔹 Ribbon Cycles Default: 6, 13, 20, 28, 36, 45, 55, 444 Customizable: All 8 cycles 🔧 BRAID FILTER 🔹 Function Filters out noise signals Confirms strong trends 🔹 Settings MA Filter: McGinley (Recommended) Filter Strength: 80% (Default) 📈 TRENDS & INDICATORS 🔹 SuperTrend Main trend indicator Generates primary buy/sell signals 🔹 Advanced Ichimoku Tenkan-Sen: Blue line Kijun-Sen: Orange line Senkou Span A/B: Ichimoku cloud 🔹 Trend Tracking Based on EMA 10 vs EMA 20 Candle colors follow trend direction 🔹 Trend Catcher Range Filter with multiple options Adjustable sensitivity 📊 MULTI-TIMEFRAME TREND PANEL 🔹 Displayed Timeframes 1m, 3m, 5m 15m, 30m, 1H 2H, 4H, 8H, Daily 🔹 Displayed Info Current Position: Bullish/Bearish Trend: Per timeframe Volume: Current trading volume 🔹 Panel Positioning 9 selectable positions Sizes: Large, Normal, Small, Extra Small 🚀 TRADE EXECUTION 📈 LONG ENTRY ✅ Entry Conditions BUY 🚀 signal appears SuperTrend turns from red to green Price > SMA 13 Braid Filter confirms (green) Trend Panel shows "Bullish" across multiple TFs 📊 Additional Confirmations MACD Histogram > 0 and rising RSI crosses above 30 (if reversal signal) EMA Pullback shows ▲ purple 🎯 Trade Management Entry: According to ENTRY label Stop Loss: According to STOP LOSS label Take Profit: TP1 → TP2 → TP3 📉 SHORT ENTRY ✅ Entry Conditions SELL signal appears SuperTrend turns from green to red Price < SMA 13 Braid Filter confirms (red) Trend Panel shows "Bearish" across multiple TFs 📊 Additional Confirmations MACD Histogram < 0 and declining RSI crosses below 70 (if reversal signal) EMA Pullback shows ▼ purple 🎯 Trade Management Entry: According to ENTRY label Stop Loss: According to STOP LOSS label Take Profit: TP1 → TP2 → TP3 🎛️ RECOMMENDED SETTINGS 👥 For Beginners Sensitivity: 6 Candle Colors: Version 1 Buy/Sell Signals: ON Reversal Signals: OFF Trend Panel: ON 🏆 For Experienced Traders Sensitivity: 4–8 (depending on market) Reversal Signals: ON Pullback: ON All indicators: ON ATR SL Risk: 1.5–2.0 ⚡ For Scalping Sensitivity: 8–12 Timeframes: 1m, 3m, 5m Use only: SuperTrend + Braid Filter Quick TP: Only TP1 📊 For Swing Trading Sensitivity: 4–6 Timeframes: 1H, 4H, 1D Use all: Full signals TP: All 3 levels (TP1, TP2, TP3) ⚠️ IMPORTANT NOTES 🔴 Avoid Trading When Signals conflict across timeframes Market is strongly ranging/sideways Abnormally low volume Price is at major support/resistance zones 🟢 Prefer Trading When At least 2–3 confirmations align Clear trend across multiple timeframes Strong volume surge Breakout from consolidation zone 💡 Usage Tips Always wait for confirmation: Never enter with just 1 signal Risk management: Place SL according to STOP LOSS label Follow trend panel: Prioritize overall trend Use multiple timeframes: Analyze top-down Backtest first: Test strategy on historical data 🛠️ TROUBLESHOOTING ❓ No signals appear Check if inputs are enabled Adjust sensitivity Try switching timeframe ❓ Too many false signals Lower sensitivity Increase Braid Filter strength Trade only with main trend ❓ Trend panel not showing Enable "Display Dashboard" Select proper panel position Adjust panel size 📞 SUPPORT If you encounter issues using this script, please: Carefully read this guide Practice on a demo account Backtest thoroughly before live trading 📈 Wishing you successful trading! 🚀
Pine Script® göstergesi
ionmarpie tarafından
2
Swing Points - Liquidity DR📌 Description This indicator highlights swing points and liquidity levels with clean visuals and flexible options. It automatically detects significant highs and lows, then plots liquidity zones using customizable lines, boxes, and labels. Volume and Open Interest Δ (OI Δ) filters are integrated to validate the strength of each level. ⚙️ Features Liquidity boxes plotted at swing highs and lows with customizable colors and styles. Toggle visibility for lines, boxes, and labels to keep charts clean. Filter swing levels using Volume thresholds and Open Interest Δ polarity (positive/negative). Multi-exchange OI data support: Binance, BitMEX, Kraken. Extend until fill or auto-remove levels once price interacts with them. Dark/Light theme support with full text/label styling controls. Lookback filter (days) to limit displayed levels for clarity. 🎯 Use Cases Identify liquidity pools where price is likely to react. Track smart money behavior around highs and lows. Combine volume + OI confirmation to focus only on high-value zones.
Pine Script® göstergesi
KSA_369 tarafından
Anchored Grids ft. VolumeINTRO The 'Volume Profile' is a great tool, isn’t it? It shows us where volume has accumulated on the chart and helps guide trading decisions. The only catch is that we can’t really choose the levels—it’s all based on where volume happens to cluster. But what if we reversed the logic and measured the volume at the levels we define? That’s exactly what this script does, giving you a fresh way to spot support and resistance :) OVERVIEW 'Anchored Grids ft. Volume' is a sophisticated technical analysis tool that combines price grid analysis with volume accumulation metrics. This indicator dynamically calculates and displays custom support and resistance levels based on a user-defined timeframe, while simultaneously tracking and visualizing volume accumulation at each specific price level. Unlike traditional volume profile indicators that use complex statistical clustering, this tool provides straightforward volume measurement at predetermined technical levels. It answers a critical question: "How much trading activity occurred near the key price levels I care about?". HOW DOES THIS INDICATOR WORK? This indicator builds a customizable grid system anchored to the opening price of any user-selected timeframe (hourly, daily, weekly, etc.). From that anchor point, it continuously tracks the highest high and lowest low, then calculates equidistant grid levels within that range. Two calculation modes are available—Arithmetic and Geometric—allowing flexibility in how the levels are distributed. Once the grid is established, a volume accumulation engine comes into play. For each price bar, the script checks whether the bar’s range intersects with any level’s tolerance zone (default 0.01%). If a touch is detected, that bar’s volume is added to the corresponding level. Over time, this process builds a clear picture of where significant trading activity has clustered. The visualization system highlights these dynamics by applying a color gradient based on volume intensity and adjusting line thickness proportional to accumulated volume. Each level is also labeled with four key data points: The grid number (in square brackets) The price of the level The percentage distance between the level and the opening price of the selected timeframe The total volume accumulated within the level’s tolerance range PARAMETERS Timeframe: Defines the anchor period for grid calculation. Then, the indicator automatically determines the open, high, and low prices. Mode: This option determines how the distance between levels is calculated: Arithmetic (linear) means equal price spacing between levels, while Geometric (logarithmic) means equal percentage spacing between levels. Grids: It's the number of levels between high and low. Color: Base color for grid lines and labels. When volume data is displayed, lower values are darkened by 50%. Show Volume Accumulation: When this parameter is activated, the volume calculation is enabled. Tolerance : The Tolerance parameter (default range: 0.01%) defines the price range around each grid level where volume accumulation is registered. It acts as a sensitivity control that determines how close price must be to a level to count trading volume toward that level's accumulation. ORIGINALITY It’s possible to find comprehensive grid-drawing tools among community indicators, but I haven’t come across an example that combines this concept with volume data. More importantly, I wanted to demonstrate how volume accumulation can be generated for any data modeled as an array on the chart by developers. SUMMARY In conclusion, the selected timeframe and the number of grids are only used as a reference to determine where the levels are drawn. The true value of this indicator lies in its ability to calculate volume accumulation directly from the chart’s own candles, showing how much trading activity occurred around each level. The result is a hybrid framework that merges structural price analysis with volume distribution, offering traders deeper insights into where markets are likely to react. NOTE While powerful, this tool should be used as part of a comprehensive trading strategy rather than as a standalone system. Always combine with risk management principles and market context awareness. I hope it helps everyone. Trade as safely as possible. Best of luck!
Pine Script® göstergesi
dg_factor tarafından
Adaptive Rolling Quantile Bands [CHE] Adaptive Rolling Quantile Bands Part 1 — Mathematics and Algorithmic Design Purpose. The indicator estimates distribution‐aware price levels from a rolling window and turns them into dynamic “buy” and “sell” bands. It can work on raw price or on *residuals* around a baseline to better isolate deviations from trend. Optionally, the percentile parameter $q$ adapts to volatility via ATR so the bands widen in turbulent regimes and tighten in calm ones. A compact, latched state machine converts these statistical levels into high-quality discretionary signals. Data pipeline. 1. Choose a source (default `close`; MTF optional via `request.security`). 2. Optionally compute a baseline (`SMA` or `EMA`) of length $L$. 3. Build the *working series*: raw price if residual mode is off; otherwise price minus baseline (if a baseline exists). 4. Maintain a FIFO buffer of the last $N$ values (window length). All quantiles are computed on this buffer. 5. Map the resulting levels back to price space if residual mode is on (i.e., add back the baseline). 6. Smooth levels with a short EMA for readability. Rolling quantiles. Given the buffer $X_{t-N+1..t}$ and a percentile $q\in $, the indicator sorts a copy of the buffer ascending and linearly interpolates between adjacent ranks to estimate: * Buy band $\approx Q(q)$ * Sell band $\approx Q(1-q)$ * Median $Q(0.5)$, plus optional deciles $Q(0.10)$ and $Q(0.90)$ Quantiles are robust to outliers relative to means. The estimator uses only data up to the current bar’s value in the buffer; there is no look-ahead. Residual transform (optional). In residual mode, quantiles are computed on $X^{res}_t = \text{price}_t - \text{baseline}_t$. This centers the distribution and often yields more stationary tails. After computing $Q(\cdot)$ on residuals, levels are transformed back to price space by adding the baseline. If `Baseline = None`, residual mode simply falls back to raw price. Volatility-adaptive percentile. Let $\text{ATR}_{14}(t)$ be current ATR and $\overline{\text{ATR}}_{100}(t)$ its long SMA. Define a volatility ratio $r = \text{ATR}_{14}/\overline{\text{ATR}}_{100}$. The effective quantile is: Smoothing. Each level is optionally smoothed by an EMA of length $k$ for cleaner visuals. This smoothing does not change the underlying quantile logic; it only stabilizes plots and signals. Latched state machines. Two three-step processes convert levels into “latched” signals that only fire after confirmation and then reset: * BUY latch: (1) HLC3 crosses above the median → (2) the median is rising → (3) HLC3 prints above the upper (orange) band → BUY latched. * SELL latch: (1) HLC3 crosses below the median → (2) the median is falling → (3) HLC3 prints below the lower (teal) band → SELL latched. Labels are drawn on the latch bar, with a FIFO cap to limit clutter. Alerts are available for both the simple band interactions and the latched events. Use “Once per bar close” to avoid intrabar churn. MTF behavior and repainting. MTF sourcing uses `lookahead_off`. Quantiles and baselines are computed from completed data only; however, any *intrabar* cross conditions naturally stabilize at close. As with all real-time indicators, values can update during a live bar; prefer bar-close alerts for reliability. Complexity and parameters. Each bar sorts a copy of the $N$-length window (practical $N$ values keep this inexpensive). Typical choices: $N=50$–$100$, $q_0=0.15$–$0.25$, $k=2$–$5$, baseline length $L=20$ (if used), adaptation strength $s=0.2$–$0.7$. Part 2 — Practical Use for Discretionary/Active Traders What the bands mean in practice. The teal “buy” band marks the lower tail of the recent distribution; the orange “sell” band marks the upper tail. The median is your dynamic equilibrium. In residual mode, these tails are deviations around trend; in raw mode they are absolute price percentiles. When ATR adaptation is on, tails breathe with regime shifts. Two core playbooks. 1. Mean-reversion around a stable median. * Context: The median is flat or gently sloped; band width is relatively tight; instrument is ranging. * Entry (long): Look for price to probe or close below the buy band and then reclaim it, especially after HLC3 recrosses the median and the median turns up. * Stops: Place beyond the most recent swing low or $1.0–1.5\times$ ATR(14) below entry. * Targets: First scale at the median; optional second scale near the opposite band. Trail with the median or an ATR stop. * Symmetry: Mirror the rules for shorts near the sell band when the median is flat to down. 2. Continuation with latched confirmations. * Context: A developing trend where you want fewer but cleaner signals. * Entry (long): Take the latched BUY (3-step confirmation) on close, or on the next bar if you require bar-close validation. * Invalidation: A close back below the median (or below the lower band in strong trends) negates momentum. * Exits: Trail under the median for conservative exits or under the teal band for trend-following exits. Consider scaling at structure (prior swing highs) or at a fixed $R$ multiple. Parameter guidance by timeframe. * Scalping / LTF (1–5m): $N=30$–$60$, $q_0=0.20$, $k=2$–3, residual mode on, baseline EMA $L=20$, adaptation $s=0.5$–0.7 to handle micro-vol spikes. Expect more signals; rely on latched logic to filter noise. * Intraday swing (15–60m): $N=60$–$100$, $q_0=0.15$–0.20, $k=3$–4. Residual mode helps but is optional if the instrument trends cleanly. $s=0.3$–0.6. * Swing / HTF (4H–D): $N=80$–$150$, $q_0=0.10$–0.18, $k=3$–5. Consider `SMA` baseline for smoother residuals and moderate adaptation $s=0.2$–0.4. Baseline choice. Use EMA for responsiveness (fast trend shifts) and SMA for stability (smoother residuals). Turning residual mode on is advantageous when price exhibits persistent drift; turning it off is useful when you explicitly want absolute bands. How to time entries. Prefer bar-close validation for both band recaptures and latched signals. If you must act intrabar, accept that crosses can “un-cross” before close; compensate with tighter stops or reduced size. Risk management. Position size to a fixed fractional risk per trade (e.g., 0.5–1.0% of equity). Define invalidation using structure (swing points) plus ATR. Avoid chasing when distance to the opposite band is small; reward-to-risk degrades rapidly once you are deep inside the distribution. Combos and filters. * Pair with a higher-timeframe median slope as a regime filter (trade only in the direction of the HTF median). * Use band width relative to ATR as a range/trend gauge: unusually narrow bands suggest compression (mean-reversion bias); expanding bands suggest breakout potential (favor latched continuation). * Volume or session filters (e.g., avoid illiquid hours) can materially improve execution. Alerts for discretion. Enable “Cross above Buy Level” / “Cross below Sell Level” for early notices and “Latched BUY/SELL” for conviction entries. Set alerts to “Once per bar close” to avoid noise. Common pitfalls. Do not interpret band touches as automatic signals; context matters. A strong trend will often ride the far band (“band walking”) and punish counter-trend fades—use the median slope and latched logic to separate trend from range. Do not oversmooth levels; you will lag breaks. Do not set $q$ too small or too large; extremes reduce statistical meaning and practical distance for stops. A concise checklist. 1. Is the median flat (range) or sloped (trend)? 2. Is band width expanding or contracting vs ATR? 3. Are we near the tail level aligned with the intended trade? 4. For continuation: did the 3 steps for a latched signal complete? 5. Do stops and targets produce acceptable $R$ (≥1.5–2.0)? 6. Are you trading during liquid hours for the instrument? Summary. ARQB provides statistically grounded, regime-aware bands and a disciplined, latched confirmation engine. Use the bands as objective context, the median as your equilibrium line, ATR adaptation to stay calibrated across regimes, and the latched logic to time higher-quality discretionary entries. Disclaimer No indicator guarantees profits. Adaptive Rolling Quantile Bands is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly. The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Enhance your trading precision and confidence 🚀 Best regards Chervolino
Pine Script® göstergesi
chervolino tarafından
S&R ZonesThis indicator automatically detects swing highs and swing lows on the chart using a 3-bar swing structure. Once a swing point is confirmed, it evaluates the price movement and body size of subsequent candles. If the movement meets a volume-based range condition (2.5× the average body size of the last 5 candles), the indicator creates a zone around that swing. Swing High Zones: Drawn from the highest price of the swing cluster down to its midpoint. Swing Low Zones: Drawn from the lowest price of the swing cluster up to its midpoint. These zones act as dynamic support and resistance levels and remain on the chart until they are either: Broken (price closes beyond the zone), or Expired (more than 200 bars old). Zones are color-coded for clarity: 🔴 Red shaded areas = Swing High resistance zones. 🟢 Green shaded areas = Swing Low support zones. This makes the indicator useful for identifying high-probability reversal areas, liquidity zones, and supply/demand imbalances that persist until invalidated.
Pine Script® göstergesi
khwysu tarafından
NQ–2Y CorrelationThis indicator tracks how NQ (Nasdaq futures) moves compared to the US 2-Year yield (US02Y). Most of the time, they go in opposite directions. This tool highlights when that relationship breaks down or moves too far from normal. This is an important fundamental indicator of overbought and oversold conditions in the market. Features: Stretch Measure (Z-Score): Shows when NQ is moving much more than you’d expect relative to the 2Y. Extreme readings (above the upper red band or below the lower blue band) often indicate overbought (red) or oversold (blue) conditions. Correlation Tracking: Monitors whether NQ and 2Y are moving together or apart. Very useful to know when they are moving together, because one of those moves is false and represents an opportunity more often than not if combined with logical support or resistance. Signal Dots: Green dots = both moving strongly in the same direction (rare). Red dots = strong move in opposite directions. How I like to use it: Watch the Z-Score bands (red/blue) for signs on the H1 or H4 that the move is really stretched. I use this for reversals in the direction of the trend. Use the green/red dots to catch unusual synchronized or opposing moves between equities and yields.You can use this with your favourite equities that make up the nasdaq 100 too.
Pine Script® göstergesi
dcoul002 tarafından
BB Crosses Optimized - [JTCAPITAL]BB Crosses Optimized is a modified way to use Bollinger Bands for Trend-Following The indicator works by calculating in the following steps: 1. The source gets smoothed out using a moving average 2. Calculating the Bollinger Bands using the SMA of the smoothed source and the standard deviation of the smoothed source. 3. Trigger a signal based on current price and the buy/sell conditions. --Buy and sell conditions-- -The buy and sell conditions are defined by the price going above/below the first standard deviation. When this goes on the opposite direction of the current trend, the trend changes. If this goes in the same direction of the current trend, the line follows the price by moving up with the standard deviation. -When using the ATR filter the ATR gets subtracted from the lows or added onto the highs to eliminate false signals in choppy markets. --Features and Parameters-- -Allows the usage of different sources -Allows the usage of different moving average types -Allows the changing of the length of the ATR -Allows the changing of the length of the bollinger bands period -Allows the changing of the standard deviation used from the bollinger bands -Allows the changing of the length for smoothing out the price data --Details-- This script is using multiple moving averages, sometimes even stacked upon eachother. And it also uses the moving average of the raw data on a short period to calculate the standard deviations. This in combination with the ATR filter is meant to eliminate as much false signals as I could. Without making all the entries and exits extremely delayed. Be aware that disabling the ATR will allow for faster entries and exits but also allow for more false signals. It is recommended to change the parameters to fit your liking and to adjust to the timeframe you are working on. Enjoy!
Pine Script® göstergesi
JTCapitalNL tarafından
Session Open Candle MarkerThe "Session Open Candle Marker" is a Pine Script indicator designed for forex and futures traders using Smart Money Concepts (SMC) and RP Profits-inspired strategies. It marks the 15-minute opening range candles for the Asia, London, and NY sessions, where institutional "big players" often gather liquidity. Each session’s range is drawn as a rectangle with a customizable midpoint line, ideal for spotting breakouts, retests, and liquidity sweeps. Features Session Open Ranges: Plots rectangles for the 15m open candles of Asia (03:00 EEST), London (10:00 EEST), and NY (15:00 EEST), corresponding to 01:00, 08:00, and 13:00 GMT+1. Customizable Visualization: Toggle each session (Asia, London, NY) on/off. Independent high/low label toggles for each session. Adjustable rectangle color, midpoint line color, style (solid/dashed/dotted), and width. Customizable rectangle duration (default: 96 bars, ~24 hours on 15m). Timezone Flexibility: Default times are set for EEST (UTC+3). Adjust session inputs for your chart’s timezone (e.g., GMT+1: Asia 01:00, London 08:00, NY 13:00; UTC: Asia 00:00, London 07:00, NY 12:00). Clean Design: Rectangles and labels update dynamically, with proper cleanup to avoid clutter. Usage: Setup: Add to a 15m chart (e.g., EURUSD, ES1!). Check your chart’s timezone (Chart Settings > Symbol > Timezone) and adjust session times if needed. Settings: Toggle sessions and labels to focus on desired ranges (e.g., London and NY for high volatility). Customize colors, midpoint line style/width, and rectangle duration. Trading: Breakouts/Retests: Trade breakouts above/below the rectangle high/low, with retests back to the range or midpoint (aligned with RP Profits scalping). Liquidity Sweeps: Watch for price sweeping session highs/lows, reversing for entries (SMC concept).
Pine Script® göstergesi
alexbejuandres123 tarafından
BTC H4/D1 Bollinger Breakout Momentum Robot [AlgoChadLin]The Bitcoin H4 Bollinger Breakout Momentum is a specialized trading system meticulously crafted to capture the significant, high-volatility moves characteristic of the Bitcoin market. This strategy prioritizes a favorable risk-reward ratio, focusing on quality over quantity. Its core philosophy is to identify and ride major trend breakouts using a Bollinger Band channel combined with a weighted price channel. It aims to catch large-scale movements that can generate substantial returns, potentially building wealth with just a few successful trades. Strategy Logic Breakout Entry: The strategy's primary entry signals are triggered by a confirmed breakout from a consolidating market. It uses a dual-moving average channel (Bollinger Bands) to identify when price is moving from a sideways range into a clear trend. The entry order is placed with a stop mechanism, ensuring a trade is only executed when the momentum is strong and confirmed. Weighted Price Channel: To refine entry points, the strategy uses a unique weighted price channel. This channel is derived from a custom calculation of high, low, and close prices, providing a more sensitive and dynamic measure for placing pending orders. Dual-Layered Exits: The strategy manages trades with a dual-layered exit approach. It uses a fixed take-profit to secure large gains, reflecting the strategy's focus on big-picture moves. Additionally, a monthly close is used as a hard stop-loss, providing a robust higher-timeframe protection against major reversals. Move-to-Breakeven: To protect capital, the strategy includes a move-to-breakeven feature. Once a position reaches a certain level of profit, the stop-loss is automatically adjusted to a breakeven point plus a small buffer, eliminating the risk of a losing trade. Parameters Bollinger Bands Period: Defines the lookback period for the Bollinger Bands, which helps to determine the breakout points for entry. HMA Period: Sets the period for the Hull Moving Average, which serves as a dynamic exit signal. Price Channel Period: Defines the lookback period for the weighted price channel, which influences the entry price. Entry Price Multiplier: Adjusts the distance of the pending order from the weighted price channel. Profit Target Percentage: A percentage value that sets the take-profit level based on the entry price. Move-to-Breakeven Trigger: A value in ticks that determines when to move the stop-loss to breakeven. Breakeven Ad ditional Pips: A value in ticks that adds a buffer to the breakeven stop-loss. Setup Timeframe: H4/D1, the higher the better. Asset: This strategy is specifically designed for Bitcoin (BTC) and its characteristic large price swings. Its focus on big-picture moves and high volatility makes it a suitable tool for capturing Bitcoin's explosive potential.
Pine Script® stratejisi
AlgoChadLin tarafından
Staggered Exponential PullbacksIndicator Description: Staggered Exponential Pullbacks (Final) Core Concept This indicator is designed to dynamically track and visualize price pullbacks from a recent high. It serves as an intelligent alert system and a tool for visualizing potential support levels that follow a predefined, non-linear logic. Instead of a fixed percentage interval, the indicator calculates the levels based on a fixed, exponentially increasing sequence of percentages. The distance between the levels increases as the price falls further. This models a strategy where larger price movements are tolerated as a pullback deepens before the next signal level is reached. The basis for this calculation is always the highest close of the last x candles. Key Features This indicator goes far beyond a simple calculation, offering a range of intelligent features for professional use: Cascading, Fixed Levels: The levels are based on a fixed sequence of percentage distances (3.0%, 3.6%, 4.3%, etc.), where each new level is calculated from the previous level. Persistent Support Levels ("Floors"): Once an alert level is breached, it transforms into a fixed support line ("floor"). This line will never move down, even if the market high subsequently drops. Automatic Upward Adjustment: Established floors are automatically pulled upwards when the market shows new strength and makes higher highs. A once-reached -3% floor will therefore rise with the market. Intelligent, Self-Cleaning Reset Logic: The indicator recognizes when a pullback sequence has ended and a new one has begun. "Ghost lines" from old, irrelevant price movements are automatically removed from the chart to ensure maximum clarity. Cascade-Proof Alerts: Even during extremely fast sell-offs that break through multiple levels in a single candle, the indicator correctly captures every single level breach. Customizable Visualization: All key parameters, such as the lookback period and the colors of the lines, can be easily adjusted in the settings. Visual Elements on the Chart The Orange Line (Highest Close): This is the reference line. It always shows the highest closing price within the defined lookback period and has a step-line shape. The 'Floor' Lines (Default: Yellow): These are solid lines that indicate which percentage levels have already been breached in the current sequence. They function as established support levels. The 'Next Due' Line (Default: Purple): This is a step-line that displays the next expected alert level. It moves dynamically with the calculation. As soon as the price crosses this line, an alert is triggered, and it transforms into a yellow "Floor" line. Settings (Inputs) Number of Candles (Lookback): Defines how many past candles are used to determine the highest closing price. Displayed Alert Levels (Max 10): Determines the maximum number of levels the indicator will calculate and display. Color of Floors: Allows you to freely choose the color for the solid, established support lines. Color of Next Due Line: Allows you to freely choose the color for the next, untriggered alert line. Setting Up Alerts (Important!) Since the indicator uses dynamic alert messages, the alert must be set up as follows: Add the indicator to the chart. Click the clock icon ("Alert") in the top toolbar. In the "Condition" field, select the name of this indicator: Staggered Exponential Pullbacks. In the second dropdown menu, you must select the option "Any alert() function call". Message: The message box can be left empty. The indicator automatically generates a detailed message (e.g., "Price Alert: Level 2 (3.6%) reached!"). Click "Create". You only need one single alert to cover all 10 levels. Important Disclaimer: Not Financial Advice This indicator is purely a technical analysis tool for visualizing price movements. The displayed lines and triggered alerts do not constitute buy or sell recommendations and are not a form of financial or investment advice. They serve for informational and analytical purposes only. Trading decisions based on the information from this indicator are made solely at your own risk and responsibility. The author and developer of this script assume no liability for any trading losses. Always conduct your own comprehensive analysis and, if necessary, consult a qualified financial advisor before making any trading decisions.
Pine Script® göstergesi
GuentaZett tarafından
MULTI-STRATEGY SYSTEMThis trading system combines three different strategies to help you trade better. The first strategy follows trends using a 50-period EMA and confirms signals with volume spikes and RSI momentum. The second strategy catches trends early by watching for EMA 9 and 21 crossovers to get in at the beginning of moves. The third strategy uses multiple technical indicators like RSI, MACD, and EMAs to find precise entry points. Each strategy shows triangle signals on your chart, green for long trades and red for short trades. The system also displays colored zones between the moving averages to visualize market conditions. You can use just one strategy or combine all three for more trading opportunities. This works on any timeframe whether you're day trading, swing trading, or position trading.
Pine Script® göstergesi
ThibauldR tarafından
AekFreedom All-in-OneIndicator Description: All-in-One Technical Analysis Suite This indicator is an "All-in-One" tool designed to combine multiple popular technical analysis instruments into a single script. It allows traders to perform comprehensive chart analysis, reduce the number of indicators needed, and customize everything in one place. The core concept of this indicator is to display all elements as an overlay on the main price chart, providing a clear view of the relationship between the various tools and the price action. 💡 Key Features The indicator consists of 6 primary modules, each of which can be independently enabled, disabled, and customized through the Settings menu (⚙️). 1. Automatic Candle Pattern Coloring What it does: Detects significant reversal candlestick patterns and changes their color for easy identification. Patterns Detected: Engulfing (Bullish/Bearish): Identifies engulfing candles with a special condition that the "body must be larger than the wicks" to filter for only strong momentum candles. Pin Bar (Bullish/Bearish): Highlights candles with long wicks, indicating price rejection. Best for: Identifying potential reversal or continuation signals at key support and resistance levels. 2. FVG (Fair Value Gap) with Auto-Mitigation What it does: Detects price imbalances created by strong buying or selling pressure and draws them as price zones. Special Feature: When the price returns to "fill" or mitigate the gap, the FVG box is automatically deleted from the chart. This keeps the chart clean and displays only the currently relevant zones. Best for: Identifying key support and resistance zones where the price is likely to return and react. 3. VWAP and Standard Deviation Bands What it does: Displays the VWAP (Volume Weighted Average Price) line, which is the average price weighted by volume, along with Standard Deviation Bands. Customization: The VWAP calculation can be anchored to reset every Session (Day), Week, Month, or Year. Best for: Determining the intraday trend, identifying "fair value" zones, and serving as significant support and resistance levels. 4. Parabolic SAR (Stop and Reverse) What it does: Plots dots on the chart that trail the price to indicate trend direction. Application: Dots below price: Indicate an uptrend. Dots above price: Indicate a downtrend. Best for: Confirming trend direction and providing dynamic Trailing Stop points to protect profits. 5. 3 Customizable EMAs (Exponential Moving Averages) What it does: Displays three separate EMA lines, which are powerful, fundamental tools for trend analysis. Customization: The Length and Color of each of the three EMAs can be fully customized. Best for: Confirming trend strength, identifying pullback entry opportunities, and acting as dynamic support and resistance. 6. Bollinger Bands (BB) What it does: Displays a price channel that measures market volatility, consisting of a middle basis line (SMA) and upper/lower bands. Application: Squeezing Bands: Signal a period of low volatility and a potential for a strong breakout. Price touching outer bands: Can indicate short-term overbought or oversold conditions. Best for: Gauging volatility and identifying potential mean-reversion opportunities in ranging markets. ⚙️ How to Use and Customize The core strength of this indicator is its flexibility. Users can go to the indicator's Settings (⚙️) panel, where all functions are organized into clear groups. You can: Enable or Disable each tool independently. Customize all parameters, such as EMA lengths, band multipliers, colors, and more. Combine tools to fit your specific trading style. For example, you might use only FVG + VWAP for intraday trading, or EMAs + Candle Patterns for trend-following strategies. This indicator is like a "Swiss Army Knife" for traders, combining essential tools into one package to make chart analysis faster and more efficient.
Pine Script® göstergesi
AekFreedom tarafından
RSI with Background & Out-of-Range Alert RSI with Out-of-Range Alert This indicator enhances the classic Relative Strength Index (RSI) by adding a visual mid-zone highlight and a simple, effective alert system: Key Features • RSI Calculation: Standard RSI with customizable length and source. • range between oversold (30) and overbought (70). This makes it easy to visually separate trend-neutral conditions from potential reversal zones. • Clear Overbought/Oversold Levels: Horizontal lines at 70 and 30 to mark key thresholds. • Out-of-Range Alert: Built-in alert condition triggers when RSI moves above 70 or below 30 — a single alert for both extremes. Why Use It? This indicator helps traders: • Quickly identify when the market is in a neutral zone versus extreme conditions. • Avoid missing potential breakout/reversal setups by receiving an automatic alert when RSI exits the normal range. • Keep charts clean and focused by shading only the mid-zone, leaving extreme areas visually clear. Best Use Cases • Works on any market and timeframe. • Ideal for traders who combine RSI extremes with price action, trend filters, or divergence strategies. • Perfect for those who want simple visual clarity and minimal distractions.
Pine Script® göstergesi
m_monzoni tarafından
ICT GMMA VegasHigh-Level Summary This indicator blends: ICT concepts (Market Structure Shift, Break of Structure, Order Blocks, Liquidity Pools, Fair Value Gaps, Killzones, etc.). GMMA (Guppy Multiple Moving Averages) to visualize short, medium, and long trend strength. Vegas Tunnels (EMA channels 144/169 and 576/676, plus optional 288/388 mid-tunnels). Vegas Touch entry module with candlestick patterns (Pin Bar 40%, Engulfing 60%). Extra slope EMAs (EMA60 & EMA200 with color change by slope). It not only shows the structure (OB, Liquidity, FVGs) but also plots entry arrows and alerts when Vegas Touch + GMMA align. ⚙️ Script Components 1. GMMA Visualization Short-term EMAs (3–15, green). Medium-term EMAs (30–60, red). Long-term EMAs (100–250, blue). Used to measure crowd sentiment: short EMAs = traders, long EMAs = investors. The script counts how many EMAs the close is above/below: If close above ≥17 → possible buy trend. If close below ≥17 → possible sell trend. Plots arrows for buy/sell flips. 2. Vegas Tunnels Short-term tunnel → EMA144 & EMA169. Long-term tunnel → EMA576 & EMA676. Mid-tunnels → EMA288 & EMA388. Plotted as orange/fuchsia/magenta bands. Conditions: Breakout checks → if close crosses above/below these EMAs compared to prior bar. 3. ICT Toolkit Market Structure Shift (MSS) & BOS (Break of Structure): labels & dotted lines when price shifts trend. Liquidity zones (Buy/Sell): boxes drawn around swing highs/lows with clustering. Fair Value Gaps (FVG/IFVG): automatic box drawing, showing break status. Order Blocks (OB): bullish/bearish blocks, breaker OB recognition. Killzones: highlights NY open, London open/close, Asia session with background shading. Displacement: plots arrows on large impulse candles. NWOG/NDOG: Weekly/Monday Open Gaps. Basically, this section gives a full ICT price action map on the chart. 4. Vegas Touch Entry Module (Pin40/Eng60 + EMA12 switch) This is the custom entry system you added: Logic: If EMA12 > EMA169, use Tunnel (144/169) as reference. If EMA12 ≤ EMA169, use Base (576/676). Hard lock: no longs if EMA12 < EMA676; no shorts if EMA12 > EMA676. Touch condition: Long → price touches lower band (Tunnel/Base). Short → price touches upper band (Tunnel/Base). With ATR/Percent tolerance. Trend filter: Must also align with long-term Vegas direction (144/169 vs 576/676 cross). Close must be on the outer side of the band. Candlestick filter: Pin Bar (≥40% wick) or Engulfing (≥60% bigger body than previous). Cooldown: avoids multiple signals in short succession. Plots: Green triangle below = Long entry. Red triangle above = Short entry. Alerts: triggers once per bar close with full message. 5. Slope EMAs (Extra) EMA60 and EMA200 plotted as thick lines. Color: Green if sloping upward (current > value 2 bars ago). Red if sloping downward. 📡 Outputs & Alerts Arrows for GMMA trend flips. Arrows for Vegas Touch entries. Labels for MSS, BOS, FVGs, OBs. Liquidity/FVG/OB boxes. Background shading for killzones. Alerts: “📡 Entry Alert (Long/Short)” for GMMA. “VT LONG/SHORT” for Vegas Touch. 📝 Key Idea This is not just one system, but a multi-layered confluence tool: ICT structure & liquidity context. GMMA trend recognition. Vegas Tunnel directional bias. Candlestick-based confirmation (Pin/Engulf). Alert automation for live trading. 👉 It’s essentially a trader’s dashboard: structural map + moving averages + entry signals all in one.
Pine Script® göstergesi
allen7326288 tarafından
Crypto H4 Multi-TF Reversal & Momentum Robot [AlgoChadLin]The Crypto H4 Multi-TF Reversal & Momentum Robot is a sophisticated, multi-faceted trading system designed for the H4 timeframe. This robot uniquely combines multi-timeframe analysis with candlestick patterns and volatility indicators to identify and capitalize on major market reversals and momentum shifts. Its core strength lies in its ability to pinpoint significant turning points while ensuring trades are only entered in the direction of confirmed movement. Strategy Logic Multi-Timeframe Entry Logic : The strategy's primary entry signals are generated by identifying when the current price hits the previous month's high or low. This provides a robust, higher-timeframe confirmation of major support and resistance levels, filtering out noise from the H4 chart. Momentum-Based Entry : To avoid false reversals, the robot executes trades with a stop-order entry mechanism. The long entry is placed above the Bollinger Bands upper band, while the short entry is placed below the lower band. This ensures trades are only triggered when price action confirms the reversal with a burst of momentum. Dynamic Risk Management : Positions are managed with both a dynamic stop-loss and a fixed take-profit. A TEMA (Triple Exponential Moving Average) acts as a dynamic stop-loss, trailing the price to protect against sudden reversals. Pattern-Based Exits : The strategy incorporates classic candlestick patterns like the Bullish Piercing and Dark Cloud Cover for early, signal-based exits. This helps to lock in profits or mitigate losses when a reversal of the current trend is detected. A time-based stop also prevents trades from stagnating for too long. Parameters Bollinger Bands Period: Defines the lookback period for the Bollinger Bands, which helps to define the stop-order entry price. TEMA Period: Sets the period for the Triple Exponential Moving Average, which acts as the dynamic stop-loss. Profit Target: A fixed value in points that determines the take-profit level. Entry Price Multiplier: Adjusts the distance of the stop-order from the Bollinger Bands. Exit After Bars: Specifies the maximum duration a trade can be open before being automatically closed. Setup Timeframe: 4-Hour (H4) Asset: While optimized for Bitcoin, this strategy's logic is applicable to other volatile cryptocurrencies like ETH and BNB . We encourage you to backtest it on these assets to find the best settings for your trading.
Pine Script® stratejisi
AlgoChadLin tarafından
Quarterly-Inspired EMA Swing Strategy🚀 Quarterly EMA Strategy: Simplified This strategy uses quarterly trends and pullbacks to EMAs (Exponential Moving Averages) to buy low and sell high in strong uptrends (longs) or short weak stocks in strong downtrends. ⸻ 🔧 Core Setup • Timeframe: Quarterly (1 candle = 3 months or ~65 trading days). • Stocks: Liquid NSE F&O stocks (e.g., Reliance, Bajaj Finance, Tata Motors, etc.). • Indicators Used: • 10-quarter EMA → Shorter-term trend. • 21-quarter EMA → Long-term trend. • 13-week EMA → Weekly confirmation. • ATR → For stop-loss. • VIX → Volatility control. • Relative Strength vs Nifty → Filter strong/weak stocks. ⸻ 🟢 LONG SETUP (Buy on Pullback in Uptrend) ✅ Conditions: 1. Quarterly Trend is Bullish Price > 10Q EMA > 21Q EMA 2. Pullback Happens Price closes within 3% of 10Q or 21Q EMA, or touches it and bounces. • E.g., Stock close = 8200, 10Q EMA = 8000 → Pullback = Valid (2.5% gap) 3. Previous Trend is Strong • Last 1-2 quarters were making higher highs OR closing well above 10Q EMA 4. Candle Shows Rejection • Lower wick (buying pressure from EMA) • Small body (<5% total candle range) 5. Market Support Filters • Nifty > its 4-quarter EMA (sloping upward) • India VIX < 20 (low panic) • Stock’s last 2 quarters’ return > 1.1× Nifty’s return 6. Weekly Confirmation • Price > 13-week EMA • 13W EMA is rising • Bullish pattern in last 2 candles • Volume ≥ 75% of 20-week average ⸻ 📈 Example (Bajaj Finance): • Close: 8200, • 10Q EMA: 8000 (bullish), • 21Q EMA: 7800 • Weekly price > 13W EMA → Confirmation ✅ ⸻ 🎯 Trade Plan (Long): • Entry: 8200 (Quarterly) or near 13W EMA (Weekly) • Stop-Loss: 2× ATR below 21Q EMA or candle low • Target: 2:1 reward • Exit 1: Book 50% at target • Exit 2: Trail 21Q EMA • Optional Hedge: Buy Nifty PUT if VIX > 15 ⸻ 🔴 SHORT SETUP (Sell on Pullback in Downtrend) ✅ Conditions: 1. Quarterly Trend is Bearish Price < 10Q EMA < 21Q EMA 2. Pullback to EMA Price closes within 3% of 10Q or 21Q EMA, or touches and gets rejected 3. Prior Trend is Down Last 1-2 quarters had lower lows or closing >5% below 10Q EMA 4. Bearish Candle Setup • Upper wick (rejection from EMA) • Small body 5. Market Support Filters • Nifty < its 4-quarter EMA (sloping down) • India VIX < 20 • Stock’s 2-quarter return < 0.9× Nifty’s return 6. Weekly Confirmation • Price < 13-week EMA • 13W EMA is falling • Bearish candles (engulfing, lower highs) • Volume ≥ 75% of 20-week average ⸻ 📉 Example (Vodafone Idea): • Close: ₹8 • 10Q EMA: ₹8.2 → Close is 2.5% below • Weekly close < 13W EMA • Bearish candle → Confirmation ✅ ⸻ 🔻 Trade Plan (Short): • Entry: 8 • Stop-Loss: 2× ATR above 21Q EMA or candle high • Target: 2:1 reward • Exit 1: Book 50% at target • Exit 2: Trail 21Q EMA • Optional Hedge: Buy Nifty CALL if VIX > 15 ⸻ 📊 Position Sizing (Same for Long & Short): • Risk per trade: 0.5–1% of total capital • Example: • Capital = ₹10 lakh • Risk = ₹10,000 • Stop = 800 points → Buy 12 shares ⸻ ✅ Exit Rules Summary
Pine Script® stratejisi
adityani4545 tarafından
自适应移动平均线通道策略This strategy leverages the Fractal Adaptive Moving Average (FRAMA) to construct dynamic price channels, generating buy (long) and sell (short) signals based on price breakouts. Signal Generation: Buy Signal: Triggered when price crosses above the upper band (▲). Sell Signal: Triggered when price crosses below the lower band (▼). Trading Logic: Long Entry: Opens a position when price breaks above the upper band. Close Position: Closes long position on a short signal or when the 3% stop-loss is hit. Visualization: FRAMA line displayed in green (bullish) or orange (bearish). Candles colored based on trend (green for bullish, red for bearish). Upper and lower bands plotted in semi-transparent green/orange. Buy/sell signals marked with arrows (▲ for buy, ▼ for sell). Use Cases Ideal for trending markets (e.g., stocks, futures, forex). Applicable across timeframes (e.g., 1-minute, 1-hour, daily), with parameter tuning recommended. Operating InstructionsAdding the Strategy Copy and paste the code into TradingView’s Pine Script editor and save. Add to chart: Click “Add to Chart” to overlay the strategy on the price chart. Parameter Settings Source: Select the price data type (e.g., “close,” “hl2,” default: “close”). Average Length: Set the FRAMA calculation period (default: 50, adjust based on timeframe). RAA Multiplier: Controls channel width (default: 1.15, higher values widen the channel). Show Trend Signals: Enable to display buy/sell signals on the chart (default: enabled). Color Candles Based on Trend: Enable to color candles by trend (default: enabled). Bullish/Bearish Candle Color: Customize candle colors (default: green for bullish, red for bearish). Chart Output FRAMA Line: Shows the adaptive average, green for bullish trends, orange for bearish. Upper/Lower Bands: Semi-transparent green (upper) and orange (lower) bands indicate price range. Signal Markers: Buy signals (green ▲ below bars) and sell signals (red ▼ above bars). Candle Coloring: Bullish candles in green, bearish in red. Trading Execution Automated Trading: Enable in TradingView’s Strategy Tester to execute trades based on signals. Stop-Loss: Fixed at 3% below entry price for long positions. Initial Capital: Default set to 100,000 (adjustable as needed). Backtesting and Optimization Review performance metrics (win rate, profit factor, drawdown) in the Strategy Tester. Optimize parameters based on market and timeframe: Short timeframes (e.g., 1-minute): Reduce length (e.g., 10–20). High-volatility markets: Increase raa_mult (e.g., 1.5–2.0).
Pine Script® stratejisi
zeroyi tarafından
Trend + RSI + Volume//@version=5 strategy("SPY Trend RSI Volume Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // === Inputs === emaFastLen = input.int(20, title="Fast EMA") emaSlowLen = input.int(50, title="Slow EMA") rsiLen = input.int(14, title="RSI Period") rsiLongThresh = input.int(55, title="RSI Threshold for Long") rsiShortThresh = input.int(45, title="RSI Threshold for Short") volumeMultiplier = input.float(1.5, title="Volume Multiplier") atrLen = input.int(14, title="ATR Length") riskReward = input.float(2.0, title="Risk-Reward Ratio") atrMult = input.float(1.5, title="ATR Multiplier") // === Indicators === emaFast = ta.ema(close, emaFastLen) emaSlow = ta.ema(close, emaSlowLen) rsi = ta.rsi(close, rsiLen) avgVolume = ta.sma(volume, 20) atr = ta.atr(atrLen) // === Conditions === // Trend isBullish = emaFast > emaSlow isBearish = emaFast < emaSlow // Volume volSpike = volume > avgVolume * volumeMultiplier // Entry conditions longCondition = isBullish and rsi > rsiLongThresh and volSpike and close > emaFast shortCondition = isBearish and rsi < rsiShortThresh and volSpike and close < emaFast // === Entries === if (longCondition) stopLoss = close - atr * atrMult takeProfit = close + (close - stopLoss) * riskReward strategy.entry("Long", strategy.long) strategy.exit("TP/SL Long", from_entry="Long", stop=stopLoss, limit=takeProfit) if (shortCondition) stopLoss = close + atr * atrMult takeProfit = close - (stopLoss - close) * riskReward strategy.entry("Short", strategy.short) strategy.exit("TP/SL Short", from_entry="Short", stop=stopLoss, limit=takeProfit) // === Plotting === plot(emaFast, title="EMA 20", color=color.orange) plot(emaSlow, title="EMA 50", color=color.blue)
Pine Script® göstergesi
onemanstanding tarafından
EMA and BB Analysis for US100 V250825This TradingView strategy generates buy and sell signals based on exponential moving average (EMA) crossovers, limited by other factors such as Bollinger Bands, volume, and EMA distance. It uses EMAs of 16, 24, 32, and 64 periods, as well as the angles of each of these EMAs. Entry Conditions: EMA Crossover Entry: When EMA16 crosses EMA64 and the following conditions are met: EMA16, EMA24, EMA32 are aligned — for a buy signal: EMA16 > EMA24 EMA24 > EMA32 EMA32 > EMA48 (and the opposite for a sell signal) EMA Angles: The angles of the EMAs must also follow the same alignment. Divergence Entry: When the distance between EMAs 16, 24, 32, and 48 increases. Entry Limitations: Once an entry is detected, it is filtered by several conditions: When the distance between the entry candle and EMA96 is more than two candles of the maximum size over three periods. The stop loss is set as two candles of the maximum size over three periods. If this stop loss exceeds 6,000 points (adjustable parameter), the entry is invalid. When the price is at the edge of the Bollinger Band with a 1200-period setting (equivalent to a 1-hour Bollinger Band). When the Bollinger Band's middle line is descending and a buy signal is triggered (and vice versa). When volume drops below a certain threshold. When a sideways market movement is detected. All these entry limitations are configurable parameters and can be enabled or disabled.
Pine Script® stratejisi
alasso69 tarafından