Commencez

Candlestick analysis

GMMA fill (v5) + Golden Crossover HighlightsGMMA Fill (v5) + Golden Crossover Highlights This setup combines the Guppy Multiple Moving Average (GMMA) Fill version 5 with Golden Crossover signals to identify strong trend continuation and potential breakout points. GMMA provides layered moving averages for short- and long-term trend analysis, while the Golden Crossover highlights bullish momentum shifts, making it ideal for spotting entry opportunities in trending markets.
Indicateur Pine Script®
par manojnibrad
Pivot Points High LowGaneshA Pivot Points High/Low indicator that: Detects swing highs (ta.pivothigh) and swing lows (ta.pivotlow) using configurable left/right bar lengths. Draws labels at the confirmed pivot points: Down labels at pivot highs (potential resistance). Up labels at pivot lows (potential support). Lets you customize text color and label fill color separately for highs and lows. It’s designed for overlay (on-price chart), with max_labels_count=500 to allow many labels.
Indicateur Pine Script®
par manojnibrad
Supertrend + EMA + RSI Algo (Low Risk High Accuracy)This is a trend-following + momentum confirmation strategy designed to reduce false signals and control loss. Supertrend (10,3) → Identifies overall market direction (Buy in uptrend, Sell in downtrend) EMA 50 & EMA 200 → Confirms strong trend and avoids sideways market Buy only when EMA 50 is above EMA 200 Sell only when EMA 50 is below EMA 200 RSI (14) → Confirms momentum Buy when RSI > 55 (strong bullish momentum) Sell when RSI < 45 (strong bearish momentum) --- 🔹 Entry Logic BUY: Market is in uptrend + strong momentum SELL: Market is in downtrend + strong bearish pressure --- 🔹 Risk Management (Most Important) Stop Loss: Based on ATR (adapts to volatility) Target: Fixed Risk-Reward ratio (example: 1 : 2.5) This keeps loss small and profits larger --- 🔹 Best Use Case Works best in trending markets Ideal timeframes: 15m, 1h, 4h Suitable for crypto futures & swing trading Beginner-friendly if used with low leverage
Stratégie Pine Script®
par simhapavanchiru
First Presented FVGSummary: First Presented FVG Indicator This is a Pine Script v6 TradingView indicator that identifies and visualizes the first Fair Value Gap (FVG) that forms within configurable time windows during a trading session. What it Does 1. Detects FVGs : Uses the classic 3-candle FVG definition: - Bullish FVG: When low > high (gap up) - Bearish FVG: When high < low (gap down) 2. "First Presented" Logic : For each configured time slot, it captures only the first qualifying FVG that forms—subsequent FVGs in that window are ignored. 3. Visual Display : - Draws a colored box spanning from detection time to session end - Optional text label showing detection time (e.g., "9:38 Tue FP FVG") - Optional grade lines at 25%, 50%, and 75% levels within the FVG Key Configuration Setting Description Timeframe Only works on 5-minute charts or lower Timezone IANA timezone for session times (default: America/New_York) Session Futures trading hours (default: 1800-1715) Min FVG Size Minimum gap size in ticks to qualify 4 Time Slots Each with enable toggle, time window, and color Default Time Slots Slot 1 (enabled): 09:30-10:30 — lime green Slot 2 (enabled): 13:30-14:30 — blue Slot 3 (disabled): 13:00-13:30 — teal Slot 4 (disabled): 14:15-14:45 — fuchsia Technical Features Handles cross-midnight sessions correctly Resets all drawings at each new session Skips the first bar of each window to ensure valid 3-candle lookback Clamps slot windows to session boundaries
Indicateur Pine Script®
par RuntimeRascal
VWAP based long only- AdamMancini//@version=6 indicator("US500 Levels Signal Bot (All TF) v6", overlay=true, max_labels_count=500, max_lines_count=500) //==================== // Inputs //==================== levelsCSV = input.string("4725,4750,4792.5,4820", "Key Levels (CSV)") biasMode = input.string("Auto", "Bias Timeframe", options= ) emaLen = input.int(21, "Bias EMA Length", minval=1) rsiLen = input.int(14, "RSI Length", minval=1) atrLen = input.int(14, "ATR Length", minval=1) proxATR = input.float(0.35, "Level Proximity (x ATR)", minval=0.05, step=0.05) slATR = input.float(1.30, "SL (x ATR)", minval=0.1, step=0.05) tp1ATR = input.float(1.60, "TP1 (x ATR)", minval=0.1, step=0.05) tp2ATR = input.float(2.80, "TP2 (x ATR)", minval=0.1, step=0.05) useTrend = input.bool(true, "Enable Trend Trigger (Break & Close)") useMeanRev = input.bool(true, "Enable Mean-Reversion Trigger (Sweep & Reclaim)") showLevels = input.bool(true, "Plot Levels") //==================== // Bias TF auto-mapping //==================== f_autoBiasTf() => sec = timeframe.in_seconds(timeframe.period) string out = "240" // default H4 if sec > 3600 and sec <= 14400 out := "D" // 2H/4H -> Daily bias else if sec > 14400 and sec <= 86400 out := "W" // D -> Weekly bias else if sec > 86400 out := "W" out biasTF = biasMode == "Auto" ? f_autoBiasTf() : biasMode == "H4" ? "240" : biasMode == "D" ? "D" : biasMode == "W" ? "W" : "Off" //==================== // Parse levels CSV + plot lines (rebuild on change) //==================== var float levels = array.new_float() var line lvlLines = array.new_line() f_clearLines() => int n = array.size(lvlLines) if n > 0 // delete from end to start for i = n - 1 to 0 line.delete(array.get(lvlLines, i)) array.clear(lvlLines) f_parseLevels(_csv) => array.clear(levels) parts = str.split(_csv, ",") for i = 0 to array.size(parts) - 1 s = str.trim(array.get(parts, i)) v = str.tonumber(s) if not na(v) array.push(levels, v) f_drawLevels() => f_clearLines() if showLevels int n = array.size(levels) if n > 0 for i = 0 to n - 1 lv = array.get(levels, i) array.push(lvlLines, line.new(bar_index, lv, bar_index + 1, lv, extend=extend.right)) if barstate.isfirst or levelsCSV != levelsCSV f_parseLevels(levelsCSV) f_drawLevels() // Nearest level f_nearestLevel(_price) => float best = na float bestD = na int n = array.size(levels) if n > 0 for i = 0 to n - 1 lv = array.get(levels, i) d = math.abs(_price - lv) if na(bestD) or d < bestD bestD := d best := lv best //==================== // Bias filter (higher TF) - Off supported //==================== bool biasBull = true bool biasBear = true if biasTF != "Off" b_close = request.security(syminfo.tickerid, biasTF, close, barmerge.gaps_off, barmerge.lookahead_off) b_ema = request.security(syminfo.tickerid, biasTF, ta.ema(close, emaLen), barmerge.gaps_off, barmerge.lookahead_off) b_rsi = request.security(syminfo.tickerid, biasTF, ta.rsi(close, rsiLen), barmerge.gaps_off, barmerge.lookahead_off) biasBull := (b_close > b_ema) and (b_rsi > 50) biasBear := (b_close < b_ema) and (b_rsi < 50) //==================== // Execution logic = chart timeframe (closed candle only) //==================== atr1 = ta.atr(atrLen) rsi1 = ta.rsi(close, rsiLen) c1 = close c2 = close h1 = high l1 = low // Manual execution reference: current bar open (next-bar-open proxy) entryRef = open lvl = f_nearestLevel(c1) prox = proxATR * atr1 nearLevel = not na(lvl) and (math.abs(c1 - lvl) <= prox or (l1 <= lvl and h1 >= lvl)) crossUp = (c2 < lvl) and (c1 > lvl) crossDown = (c2 > lvl) and (c1 < lvl) sweepDownReclaim = (l1 < lvl) and (c1 > lvl) sweepUpReject = (h1 > lvl) and (c1 < lvl) momBull = rsi1 > 50 momBear = rsi1 < 50 buySignal = nearLevel and biasBull and momBull and ((useTrend and crossUp) or (useMeanRev and sweepDownReclaim)) sellSignal = nearLevel and biasBear and momBear and ((useTrend and crossDown) or (useMeanRev and sweepUpReject)) //==================== // SL/TP (ATR-based) //==================== slBuy = entryRef - slATR * atr1 tp1Buy = entryRef + tp1ATR * atr1 tp2Buy = entryRef + tp2ATR * atr1 slSell = entryRef + slATR * atr1 tp1Sell = entryRef - tp1ATR * atr1 tp2Sell = entryRef - tp2ATR * atr1 //==================== // Plot signals //==================== plotshape(buySignal, title="BUY", style=shape.labelup, text="BUY", location=location.belowbar, size=size.tiny) plotshape(sellSignal, title="SELL", style=shape.labeldown, text="SELL", location=location.abovebar, size=size.tiny) //==================== // Alerts (Dynamic) - set alert to "Any alert() function call" //==================== if buySignal msg = "US500 BUY | TF=" + timeframe.period + " | Bias=" + biasTF + " | Lvl=" + str.tostring(lvl) + " | EntryRef=" + str.tostring(entryRef) + " | SL=" + str.tostring(slBuy) + " | TP1=" + str.tostring(tp1Buy) + " | TP2=" + str.tostring(tp2Buy) alert(msg, alert.freq_once_per_bar_close) if sellSignal msg = "US500 SELL | TF=" + timeframe.period + " | Bias=" + biasTF + " | Lvl=" + str.tostring(lvl) + " | EntryRef=" + str.tostring(entryRef) + " | SL=" + str.tostring(slSell) + " | TP1=" + str.tostring(tp1Sell) + " | TP2=" + str.tostring(tp2Sell) alert(msg, alert.freq_once_per_bar_close)
Indicateur Pine Script®
par VikasY23
Heikin Ashi + Real Price OverlayHeikin-Ashi + Real Price Overlay This indicator combines the smooth trend visualization of Heikin-Ashi candles with the true market price for precise execution. Features: Heikin-Ashi Candles: Provides a clear, smoothed view of market trends and momentum. Real Close Price Overlay: Plots the actual closing price as a line on top of HA candles, ensuring accurate entry, exit, and stop placement. Trend-Based Coloring: The real price line is colored according to HA trend (green for bullish, red for bearish), making trend bias instantly visible. Lightweight and ideal for scalping, day trading, or any strategy where trend bias + exact price matters. Use Case: Use HA candles to identify market bias and momentum. Use the real price line for precise entries, exits, and stop levels. Perfect for traders who want the clarity of HA without sacrificing real price accuracy.
Indicateur Pine Script®
par seeyeahslater
NY LONDON LUNCH AUTO**NY London Lunch Auto** is a precision session-anchor indicator designed for traders who focus on institutional timing and liquidity behavior. This script automatically marks the **high and low of three key 15-minute New York session candles**: • **3:00 AM NY** — London session expansion • **8:00 AM NY** — New York open / kill zone • **2:00 PM NY** — NY lunch / power hour transition Each time one of these candles prints on the **15-minute chart**, the script captures its exact high and low and extends them forward as horizontal levels. The levels remain **locked and unchanged** until the next key session candle appears, ensuring clean, non-repainting reference zones. ### Key Features • Works **exclusively on the 15-minute timeframe** • Automatically updates at **3AM, 8AM, and 2PM NY time** • Levels stay fixed — no drifting or recalculation • Clean, minimal design with customizable colors • Ideal for liquidity sweeps, displacement, and ICT-style execution models This indicator is built for traders who want **clarity, patience, and structure**, not clutter. It pairs seamlessly with liquidity sweep, displacement, and fair value gap strategies.
Indicateur Pine Script®
par wilsonne14
Wavelet Candlestick Slope Follower-Master Edition Here is a short description of this script: This is a **Trend Following strategy** that utilizes advanced mathematics—the **Wavelet Transform**—to filter out market noise. **Key Features:** 1. **Synthetic Candles:** The script does not analyze raw prices. Instead, it constructs "Wavelet Candles"—smoothed candles created through mathematical convolution of prices with a specific wavelet "kernel" (e.g., Mexican Hat, Morlet, Haar). 2. **Auto-Correction (Normalization):** This is the most critical technical feature of this code. The script automatically normalizes the weights. This ensures that even when using complex mathematical shapes (like the Mexican Hat), the output price remains accurate to the real chart scale and is not distorted. 3. **Strategy Logic:** The logic is very straightforward—the system enters a **Long** position when the smoothed closing price (`w_close`) is rising, and closes the position when it starts to fall. 4. **Visualization:** It draws new, cleaner candles (green/red) on the chart, revealing the "true" trend structure after filtering out temporary fluctuations. This is a example of use idea of wavelet candle
Stratégie Pine Script®
par wojlucz
Wavelet Candle Constructor (Inc. Morlet) 2Here is the detailed description of the **Wavelet Candle** construction principles based on the code provided. This indicator is not a simple smoothing mechanism (like a Moving Average). It utilizes the **Discrete Wavelet Transform (DWT)**, specifically the Stationary variant (SWT / à Trous Algorithm), to separate "noise" (high frequencies) from the "trend" (low frequencies). Here is how it works step-by-step: ###1. The Wavelet Kernel (Coefficients)The heart of the algorithm lies in the coefficients (the `h` array in the `get_coeffs` function). Each wavelet type represents a different set of mathematical weights that define how price data is analyzed: * **Haar:** The simplest wavelet. It acts like a simple average of neighboring candles. It reacts quickly but produces a "boxy" or "jagged" output. * **Daubechies 4:** An asymmetric wavelet. It is better at detecting sudden trend changes and the fractal structure of the market, though it introduces a slight phase shift. * **Symlet / Coiflet:** More symmetric than Daubechies. They attempt to minimize lag (phase shift) while maintaining smoothness. * **Morlet (Gaussian):** Implemented in this code as a Gaussian approximation (bell curve). It provides the smoothest, most "organic" effect, ideal for filtering noise without jagged edges. ###2. The Convolution EngineInstead of a simple average, the code performs a mathematical operation called **convolution**: For every candle on the chart, the algorithm takes past prices, multiplies them by the Wavelet Kernel weights, and sums them up. This acts as a **digital low-pass filter**—it allows the main price movements to pass through while cutting out the noise. ###3. The "à Trous" Algorithm (Stationary Wavelet Transform)This is the key difference between this indicator and standard data compression. In a classic wavelet transform, every second data point is usually discarded (downsampling). Here, the **Stationary** approach is used: * **Level 1:** Convolution every **1** candle. * **Level 2:** Convolution every **2** candles (skipping one in between). * **Level 3:** Convolution every **4** candles. * **Level 4:** Convolution every **8** candles. Because of this, **we do not lose time resolution**. The Wavelet Candle is drawn exactly where the original candle is, but it represents the trend structure from a broader perspective. The higher the `Decomposition Level`, the deeper the denoising (looking at a wider context). ###4. Independent OHLC ProcessingThe algorithm processes each component of the candle separately: 1. Filters the **Open** series. 2. Filters the **High** series. 3. Filters the **Low** series. 4. Filters the **Close** series. This results in four smoothed curves: `w_open`, `w_high`, `w_low`, `w_close`. ###5. Geometric Reconstruction (Logic Repair)Since each price series is filtered independently, the mathematics can sometimes lead to physically impossible situations (e.g., the smoothed `Low` being higher than the smoothed `High`). The code includes a repair section: ```pinescript real_high = math.max(w_high, w_low) real_high := math.max(real_high, math.max(w_open, w_close)) // Same logic for Low (math.min) ``` This guarantees that the final Wavelet Candle always has a valid construction: wicks encapsulate the body, and the `High` is strictly the highest point. --- ###Summary of ApplicationThis construction makes the Wavelet Candle an **excellent trend-following tool**. * If the candle is **green**, it means that after filtering the noise (according to the selected wavelet), the market energy is bullish. * If it is **red**, the energy is bearish. * The wicks show volatility that exists within the bounds of the selected decomposition level. Here is a descriptive comparison of **Wavelet Candles** against other popular chart types. As requested, this is a narrative explanation focusing on the differences in mechanics, interpretation philosophy, and the specific pros and cons of each approach. --- ###1. Wavelet Candles vs. Standard (Japanese) CandlesThis is a clash between "the raw truth" and "mathematical interpretation." Standard Japanese candles display raw market data—exactly what happened on the exchange. Wavelet Candles are a synthetic image created by a signal processor. **Differences and Philosophy:** A standard candle is full of emotion and noise. Every single price tick impacts its shape. The Wavelet Candle treats this noise as interference that must be removed to reveal the true energy of the trend. Wavelets decompose the price, reject high frequencies (noise), and reconstruct the candle using only low frequencies (the trend). * **Wavelet Advantages:** The main advantage is clarity. Where a standard chart shows a series of confusing candles (e.g., a long green one, followed by a short red one, then a doji), the Wavelet Candle often draws a smooth, uniform wave in a single color. This makes it psychologically easier to hold a position and ignore temporary pullbacks. * **Wavelet Disadvantages:** The biggest drawback is the loss of price precision. The Open, Close, High, and Low values on a Wavelet candle are calculated, not real. You **cannot** place Stop Loss orders or enter trades based on these levels, as the actual market price might be in a completely different place than the smoothed candle suggests. They also introduce lag, which depends on the chosen wavelet—whereas a standard candle reacts instantly. ###2. Wavelet Candles vs. Heikin AshiThese are close cousins, but they share very different "DNA." Both methods aim to smooth the trend, but they achieve it differently. **Differences and Philosophy:** Heikin Ashi (HA) is based on a simple recursive arithmetic average. The current HA candle depends on the previous one, making it react linearly. The Wavelet Candle uses **convolution**. This means the shape of the current candle depends on a "window" (group) of past candles multiplied by weights (Gaussian curve, Daubechies, etc.). This results in a more "organic" and elastic reaction. * **Wavelet Advantages:** Wavelets are highly customizable. With Heikin Ashi, you are stuck with one algorithm. With Wavelet Candles, you can change the kernel to "Haar" for a fast (boxy) reaction or "Morlet" for an ultra-smooth, wave-like effect. Wavelets handle the separation of market cycles better than simple HA averaging, which can generate many false color flips during consolidation. * **Wavelet Disadvantages:** They are computationally much more complex and harder to understand intuitively ("Why is this candle red if the price is going up?"). In strong, vertical breakouts (pumps), Heikin Ashi often "chases" the price faster, whereas deep wavelet decomposition (High Level) may show more inertia and change color more slowly. ###3. Wavelet Candles vs. RenkoThis compares two different dimensions: Time vs. Price. **Differences and Philosophy:** Renko completely ignores time. A new brick is formed only when the price moves by a specific amount. If the market stands still for 5 hours, nothing happens on a Renko chart. The Wavelet Candle is **time-synchronous**. If the market stands still for 5 hours, the Wavelet algorithm will draw a series of flat, small candles (the "wavelet decays"). * **Wavelet Advantages:** They preserve the context of time, which is crucial for traders who consider trading sessions (London/New York) or macroeconomic data releases. On a wavelet chart, you can see when volatility drops (candles become small), whereas Renko hides periods of stagnation, which can be misleading for options traders or intraday strategies. * **Wavelet Disadvantages:** In sideways trends (chop), Wavelet Candles—despite the smoothing—will still draw a "snake" that flips colors (unless you set a very high decomposition level). Renko can remain perfectly clean and static during the same period, not drawing any new bricks, which for many traders is the ultimate filter against overtrading in a flat market. ###Summary**Wavelet Candles** are a tool for the analyst who wants to visualize the **structure of the wave and market cycle**, accepting some lag in exchange for noise reduction, but without giving up the time axis (like in Renko) or relying on simple averaging (like in Heikin Ashi). It serves best as a "roadmap" for the trend rather than a "sniper scope" for precise entries.
Indicateur Pine Script®
par wojlucz
Displacement## Displacement Indicator (Institutional Momentum Filter) This indicator highlights **true price displacement** — candles where price moves with **abnormal force relative to recent volatility**. It is designed to help traders distinguish **real momentum** from normal market noise. Displacement often precedes: - Breaks of structure - Fair Value Gaps (FVGs) - Strong continuation or meaningful pullbacks This tool focuses on **confirmation**, not prediction. --- ### 🔍 How Displacement Is Defined A candle is marked as *displacement* only when **all conditions are met**: • Candle body is larger than a multiple of ATR (volatility-adjusted) • Candle body makes up a high percentage of the full candle (strong close) • Directional conviction (bullish or bearish close) This filters out: - Small or average candles - Wick-heavy indecision - Low-quality breakouts --- ### 🎯 What This Indicator Is Best Used For ✔ Confirming impulsive moves ✔ Validating structure breaks ✔ Anchoring Fair Value Gaps ✔ Filtering low-probability setups ✔ Identifying institutional participation Works best on **M5, M15, and H1**, especially during **London and NY sessions**. --- ### ⚠️ Important Notes • This is **not** a buy/sell signal by itself • Best used with trend, structure, or liquidity context • Not designed for ranging or low-volatility markets Think of this indicator as a **momentum truth filter** — if displacement is missing, conviction is likely missing too. --- ### ⚙️ Inputs Explained • ATR Length – defines normal volatility • ATR Multiplier – how aggressive displacement must be • Minimum Body % – ensures strong candle closes All inputs are adjustable to fit different markets and styles. --- ### 🧠 Philosophy Displacement reflects **commitment**, not anticipation. This tool helps you wait for **proof**, not hope. --- If you want, I can: - Tighten this for **ICT-style language** - Rewrite for **beginner clarity** - Add a **“How I personally use it”** section - Optimize it for **TradingView algorithm visibility** **Tell me which you want changed.**
Indicateur Pine Script®
par wilsonne14
1
SCOTTGO - RVOL Bull/Bear Painter (Real-Time) SCOTTGO - RVOL Bull/Bear Painter (Real-Time Momentum Detection) 📌Overview The RVOL Bull/Bear Painter is a Pine Script indicator designed to instantly highlight high-momentum candles driven by significant Relative Volume (RVOL). It provides a clear visual signal (bar color, shape, and label) when a candle's volume exceeds its average by a user-defined threshold, confirming strong bullish or bearish interest in real-time. This helps traders quickly identify potential institutional accumulation/distribution or breakout/breakdown attempts. ✨ Key Features Relative Volume (RVOL) Calculation: Automatically calculates the ratio of the current bar's volume to its moving average (SMA or EMA) over a customizable lookback period. Momentum Confirmation: Paints the candle green (bullish) or red (bearish) only when both price direction and high RVOL criteria are met. Real-Time Detection: Uses a plotshape method to display the signal triangle as soon as the RVOL and direction conditions are met on the currently forming candle, aiming for faster alerts than bar-close coloring. Customizable Threshold: Easily adjust the RVOL multiplier (e.g., 1.5x, 2.0x, 3.0x) to filter out noise and only focus on truly significant volume events. Labels and Alerts: Displays a volume multiplier label (e.g., BULL 2.55x) and includes pre-configured alert conditions for automated notifications. 🛠️ How to Use It 1. Identify High-Conviction Moves Look for the painted candles and the corresponding labels. A candle painted green with a BULL label (e.g., BULL 2.5x) indicates that buyers stepped in with 2.5 times the typical volume to drive the price higher. 2. Configure Your Sensitivity The power of the script lies in customizing the inputs: RVOL Lookback Period: Determines the length of the volume moving average. Shorter periods (e.g., 9-20) make the indicator more reactive to recent volume changes. Longer periods (e.g., 50-200) require a much larger volume spike to trigger a signal. RVOL Threshold: This is the multiplier. Lower values (e.g., 1.5) will generate more signals. Higher values (e.g., 3.0) will generate fewer, but generally higher-conviction, signals. 3. Set Up Alerts Use the pre-configured alert conditions (Bullish RVOL Signal and Bearish RVOL Signal) in TradingView's alert menu. Crucially, set the alert frequency to "Once per bar" or "Once per minute" to receive notifications as soon as the high RVOL event occurs, without waiting for the bar to close.
Indicateur Pine Script®
par SCOTTGO