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.
If you find this useful, please like, comment, or share your feedback!
Grafik Desenleri
High and Low - MS - 2.0"Showing the high and low points with numbers.
Micha the leftist didn’t say how it’s called in his video.
#LeftismIsAMentalIllness"
נותן לראות את הנקודות הגבוהות והנמוכות עם מספרים
מיכה השמאלן לא אמר איך קוראים לזה בסרטון שלו
#שמאלנותזומחלתנפש
14/09/2025
First H4 Window Box with PanelThis indicator will explain in detail about the characterstics of first hour open in Gold
Volume (Replica + Adjustable Size, Rounded Scale)Adjustable volume indicator, perfectly rounded scale. SMA
sarbesh tiwari- Separate ATRprice action. itv shows good result. donate if make profit.contact at mitthu497@gmail.com
Weekly Close Positive After Breaking Prior LowClosing positive after breaking prior low on weekly basis
High and Low - MSShowing the high and low points with numbers.
Micha the leftist didn’t say how it’s called in his video
#LeftismIsAMentalIllness
נותן לראות את הנקודות הגבוהות והנמוכות עם מספרים
מיכה השמאלן לא אמר איך קוראים לזה בסרטון שלו
#שמאלנותזומחלתנפש
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)
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.
AI+ Scalper [BigMoneyMazz Enhanced]Overview:
A professional-grade multi-factor trading indicator that combines trend, momentum, volatility, and volume analysis into a single composite oscillator. It provides clear visual buy/sell signals on your chart with automatic stop-loss and take-profit levels.
How It Works:
4-Way Market Analysis: Analyzes trend strength (ADX), momentum (your choice of 3 oscillators), volatility (ATR), and volume (OBV)
Smart Signal Generation: Only generates signals when multiple factors align (price above/below dynamic thresholds, trend confirmation, and sufficient volatility)
Visual Trading Plan: Plots clear LONG/SHORT labels on your chart with dashed lines showing exact stop-loss (red) and take-profit (green) levels
Live Dashboard: Real-time monitoring of all market conditions in a handy table
Key Features:
🎯 Clear Chart Signals: Green "LONG" and red "SHORT" labels with arrows
⚡ Risk Management: Automatic ATR-based stop-loss and take-profit levels
📊 Smart Dashboard: All key metrics in one view (ADX, Oscillator, Trend, Volume)
🔒 Non-Repainting: Uses only confirmed closing prices for reliable signals
⚙️ Fully Customizable: Adjust every aspect to your trading style
Recommended Settings for Day Trading:
Timeframe: 5-15 minutes
ATR Multiplier SL: 1.5 (tight stop)
ATR Multiplier TP: 3.0 (2:1 risk-reward)
Momentum Mode: Stochastic RSI (most responsive)
Use HTF Filter: ON (15-minute timeframe)
Latching Mode: ON (avoids whipsaws)
Recommended Settings for Swing Trading:
Timeframe: 1H-4H
ATR Multiplier SL: 2.0
ATR Multiplier TP: 4.0 (2:1 risk-reward)
Momentum Mode: Fisher RSI (smoother)
Use HTF Filter: ON (4H or Daily timeframe)
Latching Mode: ON
How to Use:
Wait for LONG/SHORT labels to appear on your chart
Enter trade when price touches your preferred entry level
Set stop-loss at the red dashed line
Set take-profit at the green dashed line
Use the dashboard to confirm market conditions (ADX > 25 = strong trend)
Signal Interpretation:
LONG ▲: Strong buy signal - trend bullish, oscillator above upper threshold
SHORT ▼: Strong sell signal - trend bearish, oscillator below lower threshold
EXIT: Close position (SL/TP hit)
Pro Tip: The dashboard is your best friend! Check that ADX is above 25 (strong trend) and volume is confirming before entering any trade.
This indicator works best as a confirmation tool alongside your existing strategy rather than a completely automated system. Always practice proper risk management!
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)
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.
Penny Stock Short ScalpPenny Stock Short Scalp:
This Penny Stock Short Scalp Strategy is designed for traders aiming to capitalize on rapid, short-term price declines in penny stocks using TradingView. Focused on high-volatility periods, this strategy leverages quick entries and exits to capture small, consistent profits.
Strategy Overview
Timeframe: 1-minute or 2-minute charts for precise entries and exits.
Market: Penny stocks (low-priced, high-volatility stocks, typically under $5).
Trading Window: Best executed during the first 1-2 hours of market open (9:30 AM - 11:30 AM EST) when volatility is highest.
Position Type: Short positions only, targeting rapid price drops.
Key Indicators
Exponential Moving Average (EMA): 20-period EMA to identify short-term trends. A price below the EMA signals a potential short opportunity.
Relative Strength Index (RSI): 14-period RSI to detect overbought conditions (RSI > 70) for short entry signals.
Volume: High trading volume confirms momentum and liquidity for quick exits.
Bollinger Bands: Used to identify overextended price movements. A price touching or breaking above the upper band suggests a potential reversal for shorting.
Entry Rules
Price Action: Price breaks above the 20 EMA and touches or exceeds the upper Bollinger Band.
RSI Confirmation: RSI is above 70, indicating overbought conditions.
Volume Surge: A spike in volume supports the potential for a quick reversal.
Support/Resistance: Identify a nearby resistance level (intraday or daily) to confirm the short setup.
Exit Rules
Profit Target: Aim for a 2-5% price drop or a fixed profit target (e.g., $0.05-$0.10 per share, depending on stock price).
Stop Loss: Set a stop loss above the recent high or 2% above entry to limit risk.
Close Position: Exit if the price crosses back above the 20 EMA or RSI drops below 50, signaling a potential reversal.
Risk Management
Position Sizing: Risk no more than 1-2% of your account per trade.
Liquidity Check: Ensure the stock has sufficient volume to avoid slippage.
Time Limit: Exit trades within 5-10 minutes to avoid holding through unpredictable swings.
Notes
Market Conditions: Best suited for ranging or slightly bearish markets where pullbacks are frequent.
Caution: Penny stocks are highly volatile; use tight stops and avoid overleveraging.
Platform: Configure TradingView with the above indicators and use real-time data for accurate signals.
Disclaimer: This strategy involves significant risk due to the volatile nature of penny stocks. Always conduct your own research and consult a financial advisor before trading. Past performance is not indicative of future results.
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.).
Mouse Indicator Private V3.2The "Mouse Indicator Private" is a powerful Pine Script tool designed for XAU/USD (Gold) trading on the 1-minute (M1) timeframe. It incorporates a sophisticated set of conditions to identify potential trading opportunities, focusing on specific candlestick patterns and volume dynamics, combined with advanced capital management features.
Key Features:
1. Independent of Higher Timeframe Structure: Unlike many indicators, "Mouse Trader" operates effectively on the M1 timeframe without needing confirmation from larger timeframes. This means you get timely signals directly on the fast-moving Gold market.
2. Low Stop Loss, 1:1 Risk/Reward: This indicator is designed to identify positions with a tight, low stop loss, aiming for a 1:1 Risk-to-Reward ratio. This approach allows you to take trades with well-defined risk, maximizing your trading efficiency.
3. Opportunistic Trading: Signals are generated whenever conditions are met, giving you the flexibility to seize trading opportunities as they appear throughout the trading session.
Volume Analysis: Integrates a Volume Moving Average to spot significant volume spikes and increasing volume, adding confluence to signals.
4. Automated Capital Management: Provides real-time calculations for:
- Stop Loss (SL) Price: Dynamically calculated based on the low (for Buy signals) or high (for Sell signals) of the qualifying signal candle, aiding in risk control.
- Calculated Lot Size: Automatically determines the appropriate lot size based on your predefined risk amount per trade and the calculated stop-loss distance, helping you manage your exposure effectively.
Clean Chart View: Providing a cleaner and less cluttered visual experience.
[ACR+]EXPANSION DETECTION Expansion Detection is a price-action tool that spots true momentum expansions, distinguishes high-quality displacements (CISD), and flags wick-driven reversals—all in the context of internal market structure. It keeps your chart clean: only the trade-relevant signals are plotted; structure lines/labels are computed under the hood.
Signals on the chart
Expansion (non-CISD)
Bullish: ▲ triangle below bar (green)
Bearish: ▼ triangle above bar (red)
CISD (Change In State of Delivery) — expansion with displacement & quality filters
Bullish: ◆ diamond below bar (lime)
Bearish: ◆ diamond above bar (orange)
Reversal (wick-dominant + optional engulf)
Bullish: ● circle below bar (teal)
Bearish: ● circle above bar (purple)
The script automatically prefers CISD: if a bar qualifies as CISD, only the CISD mark is shown (not the plain Expansion).
How it works (under the hood)
Body vs Wick engine
Expansion when body dominates wick (Body/Wick > kBW) and body exceeds its average (Body > kBodyAvg × SMA(Body)).
Reversal when one wick is decisively larger than the body (pin-bar style) with optional engulf confirmation.
Structure context (internal)
Builds short/intermediate/long-term swings internally and checks BOS (Break of Structure) and liquidity sweeps around the latest IT levels for higher signal quality.
CISD filter
Expansion + displacement vs ATR (min body vs ATR)
Optional FVG (3-bar gap) confirmation
Optional BOS confirmation in the same direction
Optional previous Inside Bar requirement
macd + stochastic cryptosmart## macd + stochastic cryptosmart
This indicator is a technical analysis tool designed to find high-probability trading signals by merging two of the most powerful oscillators: the MACD and the Stochastic.
The core strategy is not just to use each indicator separately, but to identify moments of confluence, where both send the same message. When a momentum signal from the MACD occurs while the Stochastic is in an extreme zone, the probability of a strong, sustained move increases significantly.
## The Confluence Logic: The Core Strategy ✨
The power of this indicator lies in the confirmation of signals. Instead of acting on a single clue, you wait for two experts to give you the same recommendation.
📈 High-Probability Buy Signal (Bullish Confluence)
A buy signal is considered especially strong when the following two conditions occur at nearly the same time:
Stochastic at an Extreme: The Stochastic oscillator is in the oversold zone (typically below 20), indicating that selling pressure may be exhausted and the price is "cheap."
MACD Crossover: The MACD line crosses above its signal line (a bullish crossover). This confirms that the market's momentum is beginning to shift in favor of the buyers.
The logic is: The Stochastic tells you when the market is ready for a potential bounce, and the MACD crossover gives you the confirmation that the bounce is starting with force.
📉 High-Probability Sell Signal (Bearish Confluence)
A high-quality sell signal occurs when:
Stochastic at an Extreme: The Stochastic is in the overbought zone (above 80), suggesting the asset may be overvalued and ready for a correction.
MACD Crossover: The MACD line crosses below its signal line (a bearish crossover). This confirms that momentum is turning negative.
The logic is: The Stochastic alerts you to a potential price "bubble," and the MACD crossover confirms that the bubble is beginning to deflate.
## Key Features
MACD Normalization: To make comparison easier, the indicator can normalize the MACD to the same 0-100 scale as the Stochastic. This allows you to view both oscillators in a similar context.
Smart Visualization:
The indicator's background changes color depending on whether the Stochastic is in an overbought, oversold, or neutral zone.
The "shadow" between the MACD lines is colored green or red to show you at a glance whether momentum is bullish or bearish.
In summary, this indicator doesn't reinvent the MACD or the Stochastic but integrates them in a smart, visual way so you can apply a confluence strategy more effectively, filtering out weak signals and focusing on those with the highest probability of success.
oscillator fast cryptosmartThe oscillator fast cryptosmart is a high-sensitivity momentum indicator designed to generate signals more rapidly than many traditional oscillators, such as the MACD. It is engineered to detect potential price breakouts by analyzing short-term market cycles.
At its core, the indicator uses a Detrended Price Oscillator (DPO) to remove the longer-term trend from price action, allowing it to focus purely on the underlying momentum cycles. It then calculates dynamic volatility bands around this oscillator line.
Signals are generated when momentum breaks out from a normal range, providing traders with an early warning of a potential acceleration in price.
How to Interpret the Signals:
Buy Signal (Green Vertical Line): A buy signal is generated when the oscillator's main line (yellow) crosses above its upper statistical band. This indicates a sharp surge in positive momentum, suggesting a potential upward move is beginning.
Sell Signal (Red Vertical Line): A sell signal is generated when the oscillator's main line crosses below its lower statistical band. This indicates a significant increase in negative momentum, suggesting a potential downward move is starting.
By focusing on momentum breakouts rather than lagging moving average crossovers, the oscillator fast cryptosmart aims to provide an edge in identifying opportunities in fast-moving markets.
🌌 Skywalker Strong Signals + Labels🟩 Skywalker Entry → Detects strong bullish setups when trend and momentum align
🟨 RSI Peak – Caution → Warns when RSI crosses into overbought territory, signaling possible exhaustion (Market is overwhelmed with buyers)
🟥 Sell Zone Detected → Confirms bearish momentum shifts with trend and volume filters
EMA Trend Tracking → Visual fast/slow EMA lines to spot bullish vs bearish zones instantly
Volume filter & candle confirmation for stronger signals
Perfect on all time-frames for scalp and swing traders.
