Pattern grafici
Long Wicks Alertes [Elykia]Main Function
The indicator detects long wicks (greater than a user-defined threshold in points or ticks) on candlesticks and marks them with a symbol (circle or triangle).
⚙️ Parameters
Threshold (points or ticks): minimum wick length to be considered “long.”
Display: choose the marker size.
Filters:
“Previous only” filter
A long lower wick must be at least the threshold lower than the previous candle’s low.
A long upper wick must be at least the threshold higher than the previous candle’s high.
➝ Highlights simple local breakouts.
“Previous & next” (confirmed) filter
The wick of the previous candle must be at least the threshold lower (or higher) than the lows/highs of both the surrounding candles.
The signal is drawn on the validated candle with offset = -1 (pivot confirmation, no repaint).
➝ Highlights reliable market pivots.
📍 Display
Green below the candle: long lower wick.
Red above the candle: long upper wick.
Confirmed signals (previous & next) are plotted on the validated bar, slightly shifted.
🔔 Alerts
One global alert: triggers on any detected long wick.
Two specific alerts: one for lower wicks, one for upper wicks.
🎯 Trading Use Cases
Detect price rejections (long lower wick = bearish rejection/absorbed selling; long upper wick = bullish rejection/absorbed buying).
Spot liquidity grabs where price hunts stops before reversing.
Identify market pivots: with the “previous & next” filter, the indicator highlights points where a trend may reverse.
Automate alerting to catch these setups without constant chart watching.
👉 In short: this indicator isolates significant wicks and qualifies them (simple breakout vs. confirmed pivot) to help read market structure and anticipate reversals.
MACD Split (Top/Bottom)MACD Split Indicator Explanation
This script separates the MACD into two clean panels:
Top Panel (Mode = Top)
Plots the MACD line and the Signal line.
Used to analyze crossovers and trend direction.
Bottom Panel (Mode = Bottom)
Plots the Histogram (MACD – Signal) and its EMA smoothing.
Used to analyze momentum strength and early shifts.
You can load the same indicator twice:
Set one to Top mode → shows only MACD & Signal lines.
Set the other to Bottom mode → shows only Histogram & EMA.
This way, you get a clear split view without overlapping everything in one chart.
MMAMMA (Midpoint Moving Average)
Similar to SMA but calculated using (High + Low) / 2 instead of Close.
Helps reduce noise by smoothing out candlestick wicks.
Useful for identifying trend direction, support/resistance, and combining with other indicators.
Moving averages applied: 5, 10, 20, 50, 100, 200
Short-term: 5, 10, 20 → captures quick price action
Mid-term: 50, 100 → identifies medium trend
Long-term: 200 → widely used global trend benchmark
Color Scheme (Red → Orange → Yellow → Green → Blue → Navy)
Red: 5 / Orange: 10 / Yellow: 20 / Green: 50 / Blue: 100 / Navy: 200
Transparency: 50% → keeps chart clean when lines overlap
Line Thickness: 1 → minimal, non-intrusive visual
VIX Price BoxVIX Price Box (Customizable Colors)
This indicator displays the current VIX (CBOE Volatility Index) value in a fixed box on the top-right corner of the chart. It’s designed to give traders a quick, at-a-glance view of market volatility without needing to switch tickers.
Features
Pulls the live VIX price and updates automatically on every bar.
Displays the value inside a table box that stays fixed in the top-right corner.
Threshold-based coloring: the text color changes depending on whether the VIX is below, between, or above your chosen threshold levels.
5 built-in color modes:
Custom mode – choose your own colors for low, medium, and high volatility zones.
Adjustable threshold levels, background color, and frame color.
Use Cases
Monitor overall market risk sentiment while trading other instruments.
Identify periods of low vs. high volatility at a glance.
Pair with strategies that rely on volatility (options trading, hedging, breakout setups, etc.).
Price Between Tenkan & KijunThis is to find stocks that either breaking up or down from a large screener list
Price Between Tenkan & KijunThis is developed to find stocks on a weekly basis that are potentially breaking out or breaking down
Bullish_Mayank_entry_Indicator with AlertsIt is a indicator that uses EMAs , RSI and Weighted Mean Average RSI and multitimeframe analysis
First H4 Window Box with PanelThis indicator will explain in detail about the characterstics of first hour open in Gold
ALMA HẰNG DIỄM//@version=5
indicator("ALMA Đa khung thời gian", overlay=true)
// Hàm ALMA tùy chỉnh
f_alma(src, len, offset, sigma) =>
m = math.floor(offset * (len - 1))
s = len > 1 ? len - 1 : 1
norm = 0.0
sum = 0.0
for i = 0 to len - 1
w = math.exp(-(math.pow(i - m, 2)) / (2 * math.pow(sigma, 2)))
norm := norm + w
sum := sum + src * w
sum / norm
// Tham số người dùng
alma_len_short = input.int(9, title="Chu kỳ ngắn")
alma_len_long = input.int(50, title="Chu kỳ dài")
alma_offset = input.float(0.85, title="Offset")
alma_sigma = input.float(6.0, title="Sigma")
// ALMA hiện tại (khung đang xem)
alma_short = f_alma(close, alma_len_short, alma_offset, alma_sigma)
alma_long = f_alma(close, alma_len_long, alma_offset, alma_sigma)
// ALMA khung D1
alma_d1_short = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_d1_long = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// ALMA khung W1
alma_w1_short = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_w1_long = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// Vẽ biểu đồ
plot(alma_short, color=color.orange, title="ALMA Ngắn (Hiện tại)")
plot(alma_long, color=color.blue, title="ALMA Dài (Hiện tại)")
plot(alma_d1_short, color=color.green, title="ALMA Ngắn (D1)", linewidth=1)
plot(alma_d1_long, color=color.red, title="ALMA Dài (D1)", linewidth=1)
plot(alma_w1_short, color=color.purple, title="ALMA Ngắn (W1)", linewidth=1)
plot(alma_w1_long, color=color.gray, title="ALMA Dài (W1)", linewidth=1)
// Chênh lệch ALMA hiện tại
plot(alma_short - alma_long, title="Chênh lệch ALMA", color=color.fuchsia, style=plot.style_columns)
ALMA HẰNG DIỄM @//@version=5
indicator("ALMA Đa khung thời gian", overlay=true)
// Hàm ALMA tùy chỉnh
f_alma(src, len, offset, sigma) =>
m = math.floor(offset * (len - 1))
s = len > 1 ? len - 1 : 1
norm = 0.0
sum = 0.0
for i = 0 to len - 1
w = math.exp(-(math.pow(i - m, 2)) / (2 * math.pow(sigma, 2)))
norm := norm + w
sum := sum + src * w
sum / norm
// Tham số người dùng
alma_len_short = input.int(9, title="Chu kỳ ngắn")
alma_len_long = input.int(50, title="Chu kỳ dài")
alma_offset = input.float(0.85, title="Offset")
alma_sigma = input.float(6.0, title="Sigma")
// ALMA hiện tại (khung đang xem)
alma_short = f_alma(close, alma_len_short, alma_offset, alma_sigma)
alma_long = f_alma(close, alma_len_long, alma_offset, alma_sigma)
// ALMA khung D1
alma_d1_short = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_d1_long = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// ALMA khung W1
alma_w1_short = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_w1_long = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// Vẽ biểu đồ
plot(alma_short, color=color.orange, title="ALMA Ngắn (Hiện tại)")
plot(alma_long, color=color.blue, title="ALMA Dài (Hiện tại)")
plot(alma_d1_short, color=color.green, title="ALMA Ngắn (D1)", linewidth=1)
plot(alma_d1_long, color=color.red, title="ALMA Dài (D1)", linewidth=1)
plot(alma_w1_short, color=color.purple, title="ALMA Ngắn (W1)", linewidth=1)
plot(alma_w1_long, color=color.gray, title="ALMA Dài (W1)", linewidth=1)
// Chênh lệch ALMA hiện tại
plot(alma_short - alma_long, title="Chênh lệch ALMA", color=color.fuchsia, style=plot.style_columns)
Weinstein Stage Analyzer — Table Only (more padding)What it does
This indicator applies Stan Weinstein’s Stage Analysis (Stages 1–4) and presents the result in a clean, compact table only—no lines, labels, or overlays. It shows:
• Previous Stage
• Current Stage (with Early / Mature / Late tag)
• Duration (how long price has been in the current stage, in HTF bars)
• Sentiment (Bullish / Bearish / Balanced / Cautious, derived from stage & maturity)
Timeframe-aware logic
• Weekly charts: classic 30-period MA (Weinstein’s original 30-week concept).
• Daily & Intraday: computed on Daily 150 as a practical daily translation of the 30-week idea.
• Monthly: ~7-period MA (~30 weeks ≈ 7 months).
The stage classification itself is evaluated on this HTF context and then displayed on your active chart.
EMA/SMA toggle
Choose EMA (default) or SMA for the trend line used in stage detection.
How stages are decided (practical rules)
• Stage 2 (Advance): MA rising with price above an upper band.
• Stage 4 (Decline): MA falling with price below a lower band.
• Flat MA zones become Stage 1 (Base) or Stage 3 (Top) depending on the prior trend.
“Maturity” tags (Early/Mature/Late) come from run length and extension beyond the band.
Inputs you can tweak
• MA Type: EMA / SMA
• Price Band (±%) and Slope Threshold to tighten/loosen stage flips
• Maturity thresholds: min/max bars & late-extension %
Notes
• Duration is for the entire current stage (e.g., total time in Stage 4), not just the maturity slice.
• A Top Padding Rows input is included to nudge the table lower if it overlaps your OHLC readout.
Disclaimer
For educational use only. Not financial advice. Always confirm with your own analysis, risk management, and market context.
NX - ICT PD ArraysThis Pine Script indicator identifies and visualizes Fair Value Gaps (FVGs) and Order Blocks (OBs) based on refined price action logic.
FVGs are highlighted when price leaves an imbalance between candles, while Order Blocks are detected using ICT methodology—marking the last opposing candle before a displacement move.
The script dynamically tracks and updates these zones, halting box extension once price interacts with them. Customizable colors and lookback settings allow traders to tailor the display to their strategy.
RSI DCA StrategyThis strategy combines RSI oversold signals with a Dollar-Cost Averaging (DCA) buying approach.
Trigger:
When the RSI (Relative Strength Index) crosses below 30, the strategy marks an oversold condition.
DCA Entry:
Once triggered, the strategy executes up to three consecutive daily entries (1 per day), splitting the predefined capital equally (configurable by user).
Position Management:
Take Profit at a configurable % above the average entry price.
Stop Loss at a configurable % below the average entry price.
Exit Conditions:
The strategy automatically exits either on reaching Take Profit or Stop Loss.
Visualization:
RSI plotted with oversold line (30).
Take Profit and Stop Loss lines displayed after entry.
Performance Reporting:
Includes an optional monthly performance table for evaluating results by month.
Note:
This strategy is for testing RSI-based mean reversion with staggered entries. It is not financial advice and should be optimized and validated for each market or timeframe before practical use.
Auto Fibonacci - First Hour Lockedthis gives the accurate fibonnacci based on the day's first hour high/low values, and the extension values as well.
First Window Box + Asia Open HourFirst Window Box + Asia Open Hour is an indicator which marks the High and Low of the Asia Open First hour along with the range marking of First Four Hour and its lenght comparing to the length of last 10 days first four hour range.
Daily + 4H MACD & RSI Screeneri used this script for my swing trading entry.
//@version=5
indicator("Daily + 4H MACD & RSI Screener", overlay=false)
// settings
rsiLength = input.int(14, "RSI Length")
rsiLevel = input.int(50, "RSI Threshold")
macdFast = input.int(12, "MACD Fast")
macdSlow = input.int(26, "MACD Slow")
macdSignal = input.int(9, "MACD Signal")
// ---- daily timeframe ----
dailyRsi = request.security(syminfo.tickerid, "D", ta.rsi(close, rsiLength))
= request.security(syminfo.tickerid, "D", ta.macd(close, macdFast, macdSlow, macdSignal))
dailyRsiPass = dailyRsi < rsiLevel
dailyMacdPass = dailyMacd < 0
dailyCondition = dailyRsiPass and dailyMacdPass
// ---- 4H timeframe ----
h4Rsi = request.security(syminfo.tickerid, "240", ta.rsi(close, rsiLength))
= request.security(syminfo.tickerid, "240", ta.macd(close, macdFast, macdSlow, macdSignal))
h4RsiPass = h4Rsi < rsiLevel
h4MacdPass = h4Macd < 0
h4Condition = h4RsiPass and h4MacdPass
// ---- combined condition ----
finalCondition = dailyCondition and h4Condition
// plot signals
plotshape(finalCondition, style=shape.triangledown, location=location.top, color=color.red, size=size.large, title="Signal")
bgcolor(finalCondition ? color.new(color.red, 85) : na)
// ---- table (3 columns x 4 rows) ----
var table statusTable = table.new(position=position.top_right, columns=3, rows=4, border_width=1)
// headers
table.cell(statusTable, 0, 0, "Timeframe", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(statusTable, 1, 0, "RSI", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(statusTable, 2, 0, "MACD", text_color=color.white, bgcolor=color.new(color.black, 0))
// daily row
table.cell(statusTable, 0, 1, "Daily", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(statusTable, 1, 1, str.tostring(dailyRsi, "#.##"),
text_color=color.white, bgcolor=dailyRsiPass ? color.new(color.green, 60) : color.new(color.red, 60))
table.cell(statusTable, 2, 1, str.tostring(dailyMacd, "#.##"),
text_color=color.white, bgcolor=dailyMacdPass ? color.new(color.green, 60) : color.new(color.red, 60))
// 4H row
table.cell(statusTable, 0, 2, "4H", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(statusTable, 1, 2, str.tostring(h4Rsi, "#.##"),
text_color=color.white, bgcolor=h4RsiPass ? color.new(color.green, 60) : color.new(color.red, 60))
table.cell(statusTable, 2, 2, str.tostring(h4Macd, "#.##"),
text_color=color.white, bgcolor=h4MacdPass ? color.new(color.green, 60) : color.new(color.red, 60))
// status row (simulate colspan by using two adjacent cells with the same bgcolor)
table.cell(statusTable, 0, 3, "Status", text_color=color.white, bgcolor=color.new(color.black, 0))
statusText = finalCondition ? "match" : "no match"
statusBg = finalCondition ? color.new(color.green, 0) : color.new(color.red, 0)
table.cell(statusTable, 1, 3, statusText, text_color=color.white, bgcolor=statusBg, text_size=size.large)
table.cell(statusTable, 2, 3, "", text_color=color.white, bgcolor=statusBg)
TQQQ – 200 SMA ±5% Entry / –3% Exit (since 2010) • Metrics by DE✅ In plain words:
You only buy TQQQ when it’s trading 5% above its 200-day SMA (a sign of strong uptrend momentum).
You stay long as long as the price holds above 3% below the 200-day SMA.
If price falls below that lower threshold, you exit to limit drawdown.
The strategy is designed to catch strong uptrends while cutting losses early.
Measured Move Volume XIndicator Description
The "Measured Move Volume X" indicator, developed for TradingView using Pine Script version 6, projects potential price targets based on the measured move concept, where the magnitude of a prior price leg (Leg A) is used to forecast a subsequent move. It overlays translucent boxes on the chart to visualize bullish (green) or bearish (red) price projections, extending them to the right for a user-specified number of bars. The indicator integrates volume analysis (relative to a simple moving average), RSI for momentum, and VWAP for price-volume weighting, combining these into a confidence score to filter entry signals, displayed as triangles on breakouts. Horizontal key level lines (large, medium, small) are drawn at significant price points derived from the measured moves, with customizable thresholds, colors, and styles. Exhaustion hints, shown as orange labels near box extremes, indicate potential reversal points. Anomalous candles, marked with diamond shapes, are identified based on volume spikes and body-to-range ratios. Optional higher timeframe candle coloring enhances context. The indicator is fully customizable through input groups for lookback periods, transparency, and signal weights, making it adaptable to various assets and timeframes.
Adjustment Tips for Optimization
To optimize the "Measured Move Volume X" indicator for specific assets or timeframes, adjust the following input parameters:
Leg A Lookback (default: 14 bars): Increase to 20-30 for volatile markets (e.g., cryptocurrencies) to capture larger price swings; decrease to 5-10 for intraday charts (e.g., stocks) for faster signals.
Extend Box to the Right (default: 30 bars): Extend to 50+ for daily or weekly charts to project further targets; shorten to 10-20 for lower timeframes to reduce clutter.
Volume SMA Length (default: 20) and Relative Volume Threshold (default: 1.5): Lower the threshold to 1.2-1.3 for low-volume assets (e.g., commodities) to detect subtler spikes; raise to 2.0+ for high-volume equities to filter noise. Match SMA length to RSI length for consistency.
RSI Parameters (default: length 14, overbought 70, oversold 30): Set overbought to 80 and oversold to 20 in trending markets to reduce premature exit signals; shorten length to 7-10 for scalping.
Key Level Thresholds (default: large 10%, medium 5%, small 5%): Increase thresholds (e.g., large to 15%) for volatile assets to focus on significant moves; disable medium or small lines to declutter charts.
Confidence Score Weights (default: volume 0.5, VWAP 0.3, RSI 0.2): Increase volume weight (e.g., 0.7) for volume-driven markets like futures; emphasize RSI (e.g., 0.4) for momentum-focused strategies.
Anomaly Detection (default: volume multiplier 1.5, small body ratio 0.2, large body ratio 0.75): Adjust the volume multiplier higher for stricter anomaly detection in noisy markets; fine-tune body-to-range ratios based on asset-specific candle patterns.
Use TradingView’s replay feature to test adjustments on historical data, ensuring settings suit the chosen market and timeframe.
Tips for Using the Indicator
Interpreting Signals: Green upward triangles indicate bullish breakout entries when price exceeds the prior high with a confidence score ≥40; red downward triangles signal bearish breakouts. Use these to identify potential entry points aligned with the projected box targets.
Box Projections: Bullish boxes project upward targets (top of box) equal to the prior leg’s height added to the breakout price; bearish boxes project downward. Monitor price action near box edges for target completion or reversal.
Exhaustion Hints: Orange labels near box tops (bullish) or bottoms (bearish) suggest potential exhaustion when price deviates within the set percentage (default: 5%) and RSI or volume conditions are met. Use these as cues to watch for reversals.
Key Level Lines: Large, medium, and small lines mark significant price levels from box tops/bottoms. Use these as potential support/resistance zones, especially when drawn with high volume (colored differently).
Anomaly Candles: Orange diamonds highlight candles with unusual volume/body characteristics, indicating potential reversals or pauses. Combine with box levels for context.
Higher Timeframe Coloring: Enable to color bars based on higher timeframe candle closures (e.g., 1, 2, 5, or 15 minutes) for added trend context.
Customization: Toggle "Only Show Bullish Moves" to focus on bullish setups. Adjust transparency and line styles for visual clarity. Test settings to balance signal frequency and chart readability.
Inputs: Organized into groups (e.g., "Measured Move Settings") using input.int, input.float, input.color, and input.bool for user customization, with tooltips for clarity.
Calculations: Computes relative volume (ta.sma(volume, volLookback)), VWAP (ta.vwap(hlc3)), RSI (ta.rsi(close, rsiLength)), and prior leg extremes (ta.highest/lowest) using prior bar data ( ) to prevent repainting.
Boxes and Lines: Creates boxes (box.new) for bullish/bearish projections and lines (line.new) for key levels. The f_addLine function manages line arrays (array.new_line), capping at maxLinesCount to avoid clutter.
Confidence Score: Combines volume, VWAP distance, and RSI into a weighted score (confScore), filtering entries (≥40). Rounded for display.
Exhaustion Hints: Functions like f_plotBullExitHint assess price deviation, RSI, and volume decrease, using label.new for dynamic orange labels.
Entry Signals and Plots: plotshape displays triangles for breakouts; plot and hline show VWAP and RSI levels; request.security handles higher timeframe coloring.
Anomaly Detection: Identifies candles with small-body high-volume or large-body average-volume patterns via ratios, plotted as diamonds.
RenKagi Fusion: Aura & SMA Clash IndicatorRenKagi Fusion: Aura & SMA Clash Indicator
Welcome to the RenKagi Fusion Indicator – a powerful, customizable tool that blends the strengths of Renko and Kagi charts to provide noise-filtered trend insights, enhanced with visual Aura effects and SMA (Simple Moving Average) crossover signals. Designed for traders seeking a unique edge in trend detection and reversal identification, this indicator combines traditional charting techniques with modern visualizations to help you navigate markets more effectively. Whether you're trading stocks, forex, or crypto, RenKagi Fusion offers a clean, actionable overview of market dynamics.
Key Features
RenKagi Line (Weighted Fusion of Renko and Kagi): The core of the indicator is the RenKagi line, a weighted average of Renko (brick-based trend filtering) and Kagi (reversal-focused line charts). Users can adjust the weight (default: 60% Renko, 40% Kagi) to prioritize stability or sensitivity. This fusion reduces market noise while highlighting key price movements.
Trend Scoring System: Calculates strength scores for Renko, Kagi, and RenKagi (capped at 20 points, converted to percentages). Scores increase with trend continuation and reset on reversals, giving a quantitative measure of momentum.
Aura Effects (Optional): Visual "glow" around lines based on score percentage – higher scores mean more opaque and thicker auras, adding a dynamic layer to trend visualization.
SMA Clash (Crossover Detection): Monitors daily SMA50, SMA100, and SMA200 for golden/death crosses (SMA50 crossing above/below longer SMAs) and RenKagi-SMA crossovers. These are displayed in a persistent info table for quick reference.
Customizable Visuals: Toggle lines, boxes, shapes, auras, and labels. Background coloring based on selected source (Renko, Kagi, or RenKagi) for intuitive trend bias.
Info Table: A configurable table (position and colors adjustable) summarizing scores, directions, cross states, brick size (with type), Kagi reversal (with type), and weights. No clutter – all in one place.
Alert Conditions: Built-in alerts for direction changes (Renko, Kagi, RenKagi), SMA crossovers, and golden/death crosses – perfect for real-time notifications.
How It Works
Renko Logic: Builds bricks based on user-selected type (Traditional fixed size, ATR dynamic, or Percentage). Scores build as trends persist, resetting on reversals.
Kagi Logic: Line reverses on thresholds (Traditional, ATR, or Percentage), scoring continuous moves.
RenKagi Calculation: Weighted average: (renkoPrice * renkoWeight + kagiLine * (100 - renkoWeight)) / 100. Score is a blend of individual scores.
SMA Integration: Daily timeframe SMAs for reliable long-term signals. Crossovers trigger alerts and update table states persistently until reversed.
Advantages for Traders
Noise Reduction: By fusing Renko's block structure with Kagi's reversal focus, it filters out minor fluctuations, helping identify strong trends early.
Versatility: Fully customizable – adjust weights, types, and visuals to fit any market or timeframe. Ideal for swing trading, trend following, or scalping.
Visual Clarity: Aura and background coloring provide at-a-glance insights, while the table consolidates data without overwhelming the chart.
Actionable Signals: Golden/Death crosses and direction changes offer clear entry/exit points, backed by alerts for timely execution.
Performance Optimization: Limits on lines/labels/boxes (500 each) ensure smooth operation on large datasets.
Usage Tips
Start with default settings for balanced performance.
Use in higher timeframes for trend confirmation or lower for intraday signals.
Combine with your favorite strategies – e.g., buy on RenKagi upward cross with SMA50 and golden cross confirmation.
Test on historical data to optimize weights and thresholds.
Note: This indicator is for educational and informational purposes only. Past performance is not indicative of future results. Always conduct your own analysis and use risk management. No financial advice is provided.
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