SigmaFrame-NQSigmaFrame is a volatility-weighted standard deviation engine designed to generate dynamic intraday pivot levels which expand during volatility spikes and tighten during compression, giving traders a consistent structural map across trending and rotational environments.
Indicadores y estrategias
6/20 EMA Crossover MarksPuts a green arrow or red arrow at the bottom of the chart when the 6 period EMA crosses above (or below) the 20 period EMA.
In settings you can move the arrow marks to be at the bar etc.
This is a simplified way to see moving average convergence/divergence crossovers.
Three Custom Moving AveragesAllows you to have 3 moving averages with any timeframe no matter what timeframe you are viewing.
NQ × ES SMT Panel — Ace v3.5NQ × ES SMT Panel — Ace v3.5 (6-Year Model)
This panel reads the 10:45 → 11:00 ET window on NQ and checks for sweeps of the 10:45 candle with SMT confirmation from ES.
It then shows you direction, quality of the signal, and 6-year follow-through stats.
🕒 Recommended Use
Chart: NQ / MNQ
Timeframe: 15-minute
Session: New York (focus on 10:45 and 11:00 ET)
ES symbol input: default ES1! (can be changed in settings)
The script only “makes decisions” on the 11:00 candle close.
🔍 What the Model Looks For
1. NQ Sweep of 10:45 Candle
Bull Sweep (Long bias)
11:00 low < 10:45 low
11:00 close > 10:45 low
Bear Sweep (Short bias)
11:00 high > 10:45 high
11:00 close < 10:45 high
This means: price took liquidity beyond 10:45, then closed back inside.
2. ES SMT Filter (Confirmation)
Bullish SMT
NQ does a bull sweep (takes the low)
ES does NOT make a lower low vs its own 10:45 low
Bearish SMT
NQ does a bear sweep (takes the high)
ES does NOT make a higher high vs its own 10:45 high
If NQ sweeps but ES doesn’t follow, you have SMT and a stronger signal.
📋 Panel Fields (What You See)
The panel is 4 rows, 1 column:
Header
NQ × ES SMT — Ace v3.5 | | Score:
Status can be:
BULLISH SMT
BEARISH SMT
Bull Sweep
Bear Sweep
No Signal
Sweep Direction
Sweep Direction: LONG ↑
Sweep Direction: SHORT ↓
- when no signal
Follow-Through Text
For SMT:
Bullish → High Odds 60-100 Handle Move
Bearish → High Odds 40-80 Handle Move
For pure sweeps:
Normal Follow-through
For no signal: blank
6-Year Stats Line
Shows how often the move reached 40/60/80 handles in the modeled direction:
Example (Bullish SMT):
SMT Stats (6y): 40h=64%, 60h=51%, 80h=41%
Example (Bearish SMT):
SMT Stats (6y): 40h=58%, 60h=42%, 80h=29%
Sweeps without SMT show Sweep Stats (6y): …
No signal: Stats: n/a
⭐ Score Meaning
5★ → SMT present (A+ setup)
3★ → Clean sweep, no SMT (B setup)
0★ → No valid sweep (NO-GO)
Use the score + stats line to decide if the idea deserves risk today.
📈 How to Trade It (Conceptual)
Wait for 11:00 candle to close.
Check panel:
If BULLISH SMT, 5★ → bias long.
If BEARISH SMT, 5★ → bias short.
If Bull/Bear Sweep, 3★ → optional, lower priority.
If No Signal, 0★ → stand aside.
Use your own execution model for entries:
Look for FVG/OB setups in the direction the panel confirms.
Targets can be based on your handle objectives (e.g., 40–80 handles) and intraday structure.
⚠️ Important Notes
Panel is a bias and stats tool, not an auto-entry system.
Works best on regular trading days (avoid major news spikes if you choose).
All stats are based on a 6-year historical lookback on NQ vs ES in this exact 10:45→11:00 structure.
Clean Swing Signals - Real-Time Entry“This indicator highlights a specific swing-based pattern and marks potential breakout areas only for visual analysis. It does not provide buy or sell signals.”
SigmaFrame-ESSigmaFrame is a volatility-weighted standard deviation engine designed to generate dynamic intraday pivot levels which expand during volatility spikes and tighten during compression, giving traders a consistent structural map across trending and rotational environments.
3-Candle Range Breakout (Buy/Sell Signal)“This indicator visually marks a 3-candle range breakout pattern for analysis purposes only. It does not provide buy or sell signals.”
Combined EMA (5, 9, 21)A single code to combine the 5 9 and 21 EMA's. This script colour codes the different EMAs, yellow orage and red. This is editable if you prefer a different combination. The tie frae is "as chart"
Volume Mood Bars Volume Mood Bars — Saël edition v3.2
A lightweight volume-based bar-coloring system that highlights how each bar behaves rather than how it looks.
It reveals the internal “mood” of the bar: strength, weakness, transitions, and fading momentum — all directly from volume dynamics.
The tool is intentionally minimalistic: no clutter, no overlays, only the essential price–volume relationship presented through clean color logic.
Works on any market and timeframe.
Key Features
• projected final volume on the current bar
• smooth color transitions based on bar progress
• immediate recognition of strong/weak volume bars
• compact and intuitive visual design
Perfect Pairing with Pythia
Volume Mood Bars complement Pythia exceptionally well:
they expose volume-based bar strength while Pythia tracks structural momentum decay.
Together, they provide a clear and reliable read of internal market pressure.
BAY_PIVOT S/R(4 Full Lines + ALL Labels)//@version=5
indicator("BAY_PIVOT S/R(4 Full Lines + ALL Labels)", overlay=true, max_labels_count=500, max_lines_count=500)
// ────────────────────── TOGGLES ──────────────────────
showPivot = input.bool(true, "Show Pivot (Full Line + Label)")
showTarget = input.bool(true, "Show Target (Full Line + Label)")
showLast = input.bool(true, "Show Last Close (Full Line + Label)")
showPrevClose = input.bool(true, "Show Previous Close (Full Line + Label)")
useBarchartLast = input.bool(true, "Use Barchart 'Last' (Settlement Price)")
showR1R2R3 = input.bool(true, "Show R1 • R2 • R3")
showS1S2S3 = input.bool(true, "Show S1 • S2 • S3")
showStdDev = input.bool(true, "Show ±1σ ±2σ ±3σ")
showFib4W = input.bool(true, "Show 4-Week Fibs")
showFib13W = input.bool(true, "Show 13-Week Fibs")
showMonthHL = input.bool(true, "Show 1M High / Low")
showEntry1 = input.bool(false, "Show Manual Entry 1")
showEntry2 = input.bool(false, "Show Manual Entry 2")
entry1 = input.float(0.0, "Manual Entry 1", step=0.25)
entry2 = input.float(0.0, "Manual Entry 2", step=0.25)
stdLen = input.int(20, "StdDev Length", minval=1)
fib4wBars = input.int(20, "4W Fib Lookback")
fib13wBars = input.int(65, "13W Fib Lookback")
// ────────────────────── DAILY CALCULATIONS ──────────────────────
high_y = request.security(syminfo.tickerid, "D", high , lookahead=barmerge.lookahead_on)
low_y = request.security(syminfo.tickerid, "D", low , lookahead=barmerge.lookahead_on)
close_y = request.security(syminfo.tickerid, "D", close , lookahead=barmerge.lookahead_on)
pivot = (high_y + low_y + close_y) / 3
r1 = pivot + 0.382 * (high_y - low_y)
r2 = pivot + 0.618 * (high_y - low_y)
r3 = pivot + (high_y - low_y)
s1 = pivot - 0.382 * (high_y - low_y)
s2 = pivot - 0.618 * (high_y - low_y)
s3 = pivot - (high_y - low_y)
prevClose = close_y
last = useBarchartLast ? request.security(syminfo.tickerid, "D", close , lookahead=barmerge.lookahead_off) : close
target = pivot + (pivot - prevClose)
// StdDev + Fibs + Monthly (unchanged)
basis = ta.sma(close, stdLen)
dev = ta.stdev(close, stdLen)
stdRes1 = basis + dev
stdRes2 = basis + dev*2
stdRes3 = basis + dev*3
stdSup1 = basis - dev
stdSup2 = basis - dev*2
stdSup3 = basis - dev*3
high4w = ta.highest(high, fib4wBars)
low4w = ta.lowest(low, fib4wBars)
fib382_4w = high4w - (high4w - low4w) * 0.382
fib50_4w = high4w - (high4w - low4w) * 0.500
high13w = ta.highest(high, fib13wBars)
low13w = ta.lowest(low, fib13wBars)
fib382_13w_high = high13w - (high13w - low13w) * 0.382
fib50_13w = high13w - (high13w - low13w) * 0.500
fib382_13w_low = low13w + (high13w - low13w) * 0.382
monthHigh = ta.highest(high, 30)
monthLow = ta.lowest(low, 30)
// ────────────────────── COLORS ──────────────────────
colRed = color.rgb(255,0,0)
colLime = color.rgb(0,255,0)
colYellow = color.rgb(255,255,0)
colOrange = color.rgb(255,165,0)
colWhite = color.rgb(255,255,255)
colGray = color.rgb(128,128,128)
colMagenta = color.rgb(255,0,255)
colPink = color.rgb(233,30,99)
colCyan = color.rgb(0,188,212)
colBlue = color.rgb(0,122,255)
colPurple = color.rgb(128,0,128)
colRed50 = color.new(colRed,50)
colGreen50 = color.new(colLime,50)
// ────────────────────── 4 KEY FULL LINES ──────────────────────
plot(showPivot ? pivot : na, title="PIVOT", color=colYellow, linewidth=3, style=plot.style_linebr)
plot(showTarget ? target : na, title="TARGET", color=colOrange, linewidth=2, style=plot.style_linebr)
plot(showLast ? last : na, title="LAST", color=colWhite, linewidth=2, style=plot.style_linebr)
plot(showPrevClose ? prevClose : na, title="PREV CLOSE",color=colGray, linewidth=1, style=plot.style_linebr)
// ────────────────────── LABELS FOR ALL 4 KEY LEVELS (SAME STYLE AS OTHERS) ──────────────────────
f_label(price, txt, bgColor, txtColor) =>
if barstate.islast and not na(price)
label.new(bar_index, price, txt, style=label.style_label_left, color=bgColor, textcolor=txtColor, size=size.small)
if barstate.islast
showPivot ? f_label(pivot, "PIVOT " + str.tostring(pivot, "#.##"), colYellow, color.black) : na
showTarget ? f_label(target, "TARGET " + str.tostring(target, "#.##"), colOrange, color.white) : na
showLast ? f_label(last, "LAST " + str.tostring(last, "#.##"), colWhite, color.black) : na
showPrevClose ? f_label(prevClose, "PREV CLOSE "+ str.tostring(prevClose, "#.##"), colGray, color.white) : na
// ────────────────────── OTHER LEVELS – line stops at label ──────────────────────
f_level(p, txt, tc, lc, w=1) =>
if barstate.islast and not na(p)
lbl = label.new(bar_index, p, txt, style=label.style_label_left, color=lc, textcolor=tc, size=size.small)
line.new(bar_index-400, p, label.get_x(lbl), p, extend=extend.none, color=lc, width=w)
if barstate.islast
if showR1R2R3
f_level(r1, "R1 " + str.tostring(r1, "#.##"), color.white, colRed)
f_level(r2, "R2 " + str.tostring(r2, "#.##"), color.white, colRed)
f_level(r3, "R3 " + str.tostring(r3, "#.##"), color.white, colRed, 2)
if showS1S2S3
f_level(s1, "S1 " + str.tostring(s1, "#.##"), color.black, colLime)
f_level(s2, "S2 " + str.tostring(s2, "#.##"), color.black, colLime)
f_level(s3, "S3 " + str.tostring(s3, "#.##"), color.black, colLime, 2)
if showStdDev
f_level(stdRes1, "+1σ " + str.tostring(stdRes1, "#.##"), color.white, colPink)
f_level(stdRes2, "+2σ " + str.tostring(stdRes2, "#.##"), color.white, colPink)
f_level(stdRes3, "+3σ " + str.tostring(stdRes3, "#.##"), color.white, colPink, 2)
f_level(stdSup1, "-1σ " + str.tostring(stdSup1, "#.##"), color.white, colCyan)
f_level(stdSup2, "-2σ " + str.tostring(stdSup2, "#.##"), color.white, colCyan)
f_level(stdSup3, "-3σ " + str.tostring(stdSup3, "#.##"), color.white, colCyan, 2)
if showFib4W
f_level(fib382_4w, "38.2% 4W " + str.tostring(fib382_4w, "#.##"), color.white, colMagenta)
f_level(fib50_4w, "50% 4W " + str.tostring(fib50_4w, "#.##"), color.white, colMagenta)
if showFib13W
f_level(fib382_13w_high, "38.2% 13W High " + str.tostring(fib382_13w_high, "#.##"), color.white, colMagenta)
f_level(fib50_13w, "50% 13W " + str.tostring(fib50_13w, "#.##"), color.white, colMagenta)
f_level(fib382_13w_low, "38.2% 13W Low " + str.tostring(fib382_13w_low, "#.##"), color.white, colMagenta)
if showMonthHL
f_level(monthHigh, "1M HIGH " + str.tostring(monthHigh, "#.##"), color.white, colRed50, 2)
f_level(monthLow, "1M LOW " + str.tostring(monthLow, "#.##"), color.white, colGreen50, 2)
// Manual entries
plot(showEntry1 and entry1 > 0 ? entry1 : na, "Entry 1", color=colBlue, linewidth=2, style=plot.style_linebr)
plot(showEntry2 and entry2 > 0 ? entry2 : na, "Entry 2", color=colPurple, linewidth=2, style=plot.style_linebr)
// Background
bgcolor(close > pivot ? color.new(color.blue, 95) : color.new(color.red, 95))
M&B — Fixed Buy/Sell (v6) - confirmed bars“This indicator highlights potential chart patterns based on mother–child candle structure. It is meant only for visual analysis and does NOT provide buy or sell signals.”
YaS-IN Multi-Timeframe RSI AnalyzerYAS-IN MULTI-TIMEFRAME RSI ANALYZER
📊 OVERVIEW
YaS-IN (Yield and Signal Indicator) is an advanced RSI-based trading tool that analyzes multiple timeframe RSI data (14, 25, 100 periods) to identify 5 key market scenarios with confirmation from volume, MACD, and ATR indicators.
🎯 KEY FEATURES
1. MULTI-TIMEFRAME RSI ANALYSIS
RSI 14: Short-term momentum
RSI 25: Medium-term trend
RSI 100: Long-term structural trend
2. 5 MARKET SCENARIOS
Trend Start (New trend confirmation)
Trend Continuation (Healthy uptrend)
Trend End (Overbought, reversal imminent)
Dip Buy Opportunity (Oversold, bounce expected)
Structural Turn (Major trend change)
3. CONFIRMATION SYSTEM
Volume: Above/below average confirmation
MACD: Momentum and crossover confirmation
ATR: Volatility confirmation
4. VISUAL TABLE DISPLAY
Real-time color-coded table showing:
Current RSI values
Active scenarios
Confirmation status
Scenario colors
🔧 HOW IT WORKS
SCENARIO DETECTION
The indicator analyzes RSI values against predefined thresholds to identify which market scenario is currently active.
CONFIRMATION STATUS
Each scenario is validated against three confirmation indicators:
✅ CONFIRMED: 2+ indicators confirm
🔶 PARTIAL: 1 indicator confirms
⚠️ WARNING: 1 indicator contradicts
⚠️ DIVERGENT: 2+ indicators contradict
➖ NEUTRAL: No clear signal
TABLE COLORS
Green: Active bullish scenario
Blue: Active continuation scenario
Red: Active bearish scenario
Orange: Active dip buy scenario
Purple: Active structural turn
Gray: Inactive scenario
⚙️ CUSTOMIZATION OPTIONS
1. RSI PERIODS
Adjust RSI calculation periods (14, 25, 100 default)
2. CONFIRMATION INDICATORS
Toggle Volume/MACD/ATR confirmation on/off
Adjust volume threshold multiplier
Set ATR change percentage
3. TABLE SETTINGS
Position: 6 different screen positions
Size: Small/Medium/Large text
Colors: Custom text and background
Opacity: Background transparency
4. VISUAL OPTIONS
Show/hide chart label
Customize text colors
Adjust table transparency
📈 OPTIMAL TIMEFRAMES
BEST PERFORMANCE
1-Hour: Optimal balance for most traders
4-Hour: Excellent for swing trading
Daily: Good for position trading
GOOD PERFORMANCE
30-Minute: Short-term swing trading
15-Minute: Precise entry timing
Weekly: Long-term analysis
NOT RECOMMENDED
1-5 Minute: Too much noise
Monthly: Too slow for active trading
🎮 USAGE GUIDE
FOR BEGINNERS
Add indicator to 4-hour chart
Watch table for 1-2 days
Trade only "✅ CONFIRMED" scenarios
Use 1-hour chart for entry confirmation
FOR INTERMEDIATE TRADERS
Use multi-timeframe analysis:
4-hour: Main trend direction
1-hour: Confirmation signals
30-minute: Entry timing
Look for scenario consistency across timeframes
Use divergence warnings for risk management
FOR ADVANCED TRADERS
Combine with other technical analysis
Adjust parameters for specific markets
Use alerts for automated notifications
Backtest different parameter combinations
📊 INTERPRETING RESULTS
STRONG SIGNALS
Multiple "✅ CONFIRMED" scenarios
Consistent signals across timeframes
High volume + MACD confirmation
WEAK SIGNALS
"🔶 PARTIAL" or "➖ NEUTRAL" status
Contradictory indicators
Low volume during signals
WARNING SIGNALS
"⚠️ WARNING" or "⚠️ DIVERGENT" status
Indicator divergence
ATR showing low volatility during moves
🔔 ALERT SYSTEM
4 TYPES OF ALERTS
Divergence Detected: Indicators contradict scenarios
Strong Confirmation: Multiple indicators confirm
Confirmed Trend End: Trend reversal with confirmation
Confirmed Dip Buy: Oversold bounce with confirmation
💡 TRADING STRATEGIES
TREND FOLLOWING
Enter on "Trend Start ✅ CONFIRMED"
Add on "Trend Continuation ✅ CONFIRMED"
Exit on "Trend End ✅ CONFIRMED"
MEAN REVERSION
Enter on "Dip Buy ✅ CONFIRMED"
Exit on RSI returning to normal levels
Use ATR for stop loss placement
BREAKOUT TRADING
Watch for "Structural Turn ✅ CONFIRMED"
Enter on confirmation of new trend
Use volume confirmation for validity
⚠️ RISK MANAGEMENT
POSITION SIZING
"✅ CONFIRMED": Full position
"🔶 PARTIAL": Half position
"⚠️ WARNING": Quarter position or avoid
"⚠️ DIVERGENT": No position
STOP LOSS SUGGESTIONS
Based on ATR value (2x ATR recommended)
Adjust for timeframe (tighter on lower TFs)
Consider scenario type (wider for structural turns)
📚 EDUCATIONAL VALUE
LEARN MARKET CYCLES
Understand different market phases
Recognize trend transitions
Identify overbought/oversold conditions
IMPROVE TIMING
Better entry/exit points
Reduced false signals
Improved risk/reward ratios
🚀 BENEFITS
Clear Visualization: All data in one table
Multi-Indicator Confirmation: Reduces false signals
Customizable: Adapt to any trading style
Educational: Helps understand market dynamics
Versatile: Works across multiple timeframes
📝 PUBLISHING NOTES
When publishing this indicator:
Name: YaS-IN Multi-Timeframe RSI Analyzer
Category: Momentum/Volume Indicators
Access Type: Open Source
Tags: RSI, Multi-Timeframe, Volume, MACD, ATR, Scanner
Description: Include this complete documentation
Preview Images: Show table on different charts
Video Tutorial: Demonstrate multi-timeframe usage
🔄 UPDATES & SUPPORT
For updates, improvements, or support:
Check TradingView script page
Join community discussions
Share backtest results
Suggest new features
Happy Trading with YaS-IN! 🚀
This response is AI-generated, for reference only.
EMA 9/20/50/100/200This script plots the five most commonly used Exponential Moving Averages (EMAs): 9, 20, 50, 100, and 200. These EMAs help traders quickly identify short-term momentum, medium-term trends, and long-term market direction.
It is useful for:
Trend identification
Momentum confirmation
Pullback entries
Reversal detection
Multi-timeframe confluence trading
What’s Included
EMA 9 → short-term momentum
EMA 20 → near-term trend guide
EMA 50 → medium-term trend
EMA 100 → broad trend structure
EMA 200 → long-term direction
Each EMA is color-coded for clarity, making it easy to read and visually track trend shifts.
How to Use
When shorter EMAs cross above longer EMAs → bullish trend strengthening
When shorter EMAs cross below longer EMAs → bearish trend strengthening
Wide spacing between EMAs indicates a strong trend
Compression or clustering often signals potential reversals or breakout conditions
This indicator is simple, clean, and effective for all timeframes and asset classes.
⏰Forex Market Clock Table (DST Auto)⏰ Forex Market Clock Table (DST Auto)
Keep track of key forex session times with this clean, real-time table showing local time, market status (open/closed), and automatic Daylight Saving Time (DST) adjustments for Sydney, Tokyo, London, and New York. Displays countdowns to session open/close and highlights weekends. Fully customizable position, colors, and text size—perfect for multi-session traders.
MAX TRADEMAX TRADE is an advanced intraday trading indicator designed for gold and forex pairs. It uses a dynamic Fibonacci-based trend line, multi-timeframe EMA, RSI and ATR filters to avoid bad entries. Every signal comes with automatic TP/SL levels, break-even logic and a live stats panel showing win rate, profit, number of trades and streaks.
Smart Money Concepts Pro Smart Money Concepts Pro
A professional-grade framework for visualizing institutional price behavior through key Smart Money Concepts. It automatically maps structure shifts, imbalances, and liquidity events so traders can study how price develops around supply and demand.
Core Components
Market Structure (BOS / CHoCH) — Detects continuation and reversal breaks using pivot-based logic with a close-beyond threshold and configurable cooldown.
Order Blocks — Highlights institutional footprints validated by volume and distance filters; zones extend until mitigation.
Fair Value Gaps — Marks three-bar inefficiencies that meet a minimum gap size and optionally auto-remove once filled by a user-defined percentage.
Liquidity Sweeps — Identifies stop-hunt wicks exceeding a configurable extension beyond recent highs or lows.
Premium / Discount Zones — Defines equilibrium and price positioning within recent swing ranges.
Confluence Entries (optional) — Generates neutral BUY / SELL markers only when structure, zone, and directional context align.
Dashboard — Summarizes current structure bias, recent events, zone counts, and directional alignment in real time.
Why it’s distinct
All detections are governed by explicit thresholds—volume multipliers, minimum distances, and fill-percent logic—so each signal results from quantifiable structure rather than heuristic pattern matching. Automatic cleanup ensures charts remain clear as zones are mitigated or gaps filled.
Best use
Applicable across Forex, indices, crypto, and equities. Designed for study on 15 m – 1 D timeframes.
For optimal alignment, pin plots to the Right Scale after adding the script.
Disclaimer: This script is provided for educational and analytical purposes only. It does not constitute financial or investment advice.
Dark VectorThe Dark Vector is a professional-grade trend-following system designed to solve the two most common causes of trading losses: over-trading during chop and exiting trends too early.
Unlike standard indicators that continuously recalculate based on every price tick, this system operates on a strict "State Machine" logic. This means it tracks the current market phase and refuses to issue conflicting signals. If the system is Long, it mathematically cannot issue another Long signal until the previous trend has concluded.
The system relies on three core engines:
1. The Trend Architecture (Modified SuperTrend) The backbone of the system is an ATR-based trailing stop mechanism. It creates a dynamic trend line that adjusts to volatility. When volatility expands, the line widens to prevent premature stop-outs during market noise. When volatility contracts, the line tightens to protect profits.
2. The Noise Gate (Choppiness Index) This is the system's safety filter. It measures the fractal efficiency of the market—essentially determining if price is moving in a clear direction or moving sideways. When the market enters a consolidation phase (sideways chop), the Noise Gate activates, turning the candles gray and physically blocking all new entry signals. This prevents the user from entering trades in low-probability environments.
3. The Singularity State Machine This internal logic enforces trading discipline. It treats the trend as a binary state (Bullish or Bearish). It forces an alternating signal pattern, ensuring that you are only alerted to the specific moment a major trend reversal occurs, rather than being bombarded with repetitive signals during a long run.
Best Way to Use This System
To maximize profitability and minimize false positives, it is recommended to use the "Regime & Alignment" methodology outlined below.
1. The Traffic Light Rule
Before placing any trade, observe the color of the candlesticks on the chart:
Green Candles: The market is in a confirmed Bullish Impulse. You should only look for Long entries or hold existing positions. Shorting is statistically dangerous here.
Red Candles: The market is in a confirmed Bearish Impulse. You should only look for Short entries or hold cash. Buying the dip here is high-risk.
Gray Candles: The market is in a Chop/Squeeze regime. The Noise Gate is active. Do not open new positions. This indicates indecision, and the market is likely to destroy option premiums or stop out tight leverage. Wait for the candles to return to Green or Red before acting.
2. The Entry Trigger
Enter a trade only when a text label (LONG or SHORT) appears.
Long Signal: Occurs when price closes above the Trend Line AND the market is not in a Chop zone.
Short Signal: Occurs when price closes below the Trend Line AND the market is not in a Chop zone.
3. The Exit Strategy
There are two ways to manage the trade once active:
The Trend Follower (Conservative): Hold the position until the Trend Line flips color. This captures the maximum duration of the move but may give back some profit at the very end.
The Stop Loss (Active): The Trend Line (the white value in your dashboard) acts as your Trailing Stop. If a candle closes beyond this line, the trend is technically invalidated. You should exit immediately.
4. Multi-Timeframe Alignment (The Golden Rule)
The highest win rates are achieved when your trading timeframe aligns with the higher-order trend.
Step 1: Check the 4-Hour chart. Is the Trend Line Green?
Step 2: Switch to the 15-Minute chart.
Step 3: Only take the LONG signals on the 15-Minute chart. Ignore all Short signals.
Reasoning: Counter-trend trades often fail. By trading only in the direction of the higher timeframe, you are swimming with the current, not against it.
Recommended Settings by Style
Swing Trading (Daily/4H): Keep the Trend Factor at 4.0. This ignores daily noise and keeps you in the trade for weeks or months.
Day Trading (1H/15m): Lower the Trend Factor to 3.0. This makes the system more reactive to intraday reversals.
Scalping (5m): Lower the Trend Factor to 2.0 and the ATR Length to 7. This is aggressive and requires strict adherence to the Stop Loss.
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. Trading cryptocurrencies, stocks, and futures involves a high degree of risk and the potential for significant financial loss. The user assumes all responsibility for their trading decisions. Past performance of any system or indicator is not indicative of future results. Always practice risk management and never trade with money you cannot afford to lose.
VB Sigma Smart Momentum IndicatorVB Sigma Smart Momentum Indicator (VBSSMI)
The VBSSMI provides a consolidated decision-support framework that surfaces market participation, trend integrity, and liquidity conditions in a single visual environment. The tool integrates four analytical modules: MCDX Flow Mapping, Donchian Regime Layers, Banker Flow Modeling, and Chop Zone Trend Classification. Together, these components convert raw price movement into an actionable interpretation of who is in control, whether momentum is durable, and what phase the instrument is currently cycling through.
How to Use the Indicator (Practical Workflow)
1. Start with Institutional / Banker Flow (Pink/Red/Yellow/Green Candles)
This is the primary signal layer. It tells you when high-capacity participants are increasing, reducing, or reversing risk.
Yellow Candle — Entry Bias
Indicates a potential institutional initiation when their trend metric crosses above their accumulation threshold.
Operational signal: instrument enters “monitor for entry” state.
Green Candle — Accumulation State
Fund-trend > bullbearline.
Operational signal: trend integrity improving; pullbacks are generally buyable.
White Candle — Distribution / Cooling
Fund-trend weakening but not broken.
Operational signal: tighten stops; momentum deteriorating.
Red Candle — Exit / Trend Failure
Fund-trend < bullbearline.
Operational signal: momentum regime invalidated; avoid long risk.
Blue Candle — Weak Rebound
A temporary uptick within broader weakness.
Operational signal: do not mistake this for a durable reversal.
2. Validate alignment with Flow Chips (Retail / Trader / Institutional)
These three flow columns (MCDX layers) answer: who is actually participating?
Retailer Flow (Locked Chips – Green)
High values imply retail conviction, often late-cycle.
Good for confirming trend strength, not timing entries.
Trader Zone Flow (Float Chips – Yellow)
When this spikes, volatility and tactical positioning increase.
Signal: strong short-term engagement, supports breakout/trend continuation.
Institutional Flow (Profitable Chips – Red/Pink)
This is the “true north” of momentum.
Rising values = institutions controlling price discovery.
Signal: long setups have statistical tailwind.
The operational guidance is straightforward:
Institutional Flow > Trader Flow > Retail Flow
is the healthiest configuration for sustainable upside momentum.
3. Confirm Breakout / Breakdown Conditions with Donchian Regime Columns
The vertical Donchian stack illustrates trend regime in a time-compressed format.
Bright Blue/Cyan
Structure expanding upward (breakout cluster).
Dark Purple/Red
Structure breaking downward (breakdown cluster).
Mixed Columns
Transitional or indecisive conditions.
Interpret it as a “momentum backdrop”:
If Donchian columns and Banker Flow candles disagree, avoid entries.
4. Consult the Chop Zone Strip Before Committing Capital
The Chop Zone uses EMA angle to determine whether the market is trending or congested.
Greens/Blues → Trend phase (favorable environment for continuation trades).
Yellows/Oranges/Reds → High noise probability; expect false signals.
Operationally:
Never enter breakout setups during yellow/orange/red chop.
5. Final Decision Framework (Checklist)
A long setup typically requires:
Green or Yellow Banker Flow Candle
Institutional Flow rising
Donchian columns in bullish regime colors
Chop Zone in a trend color (not red/yellow/orange)
A short setup is the exact inverse.
Recommended Use Cases
Momentum trading
Swing position building
Institutional-flow confirmation
Trend-filtering before deploying breakout systems
Screening for strong/weak symbols in multi-asset rotation strategies
Bollinger Bands Delta Matrix Analytics [BDMA] Bollinger Bands Delta Matrix Analytics (BDMA) v7.0
Deep Kinetic Engine – 5x8 Volatility & Delta Decision Matrix
1. Introduction & Concept
Bollinger Bands Delta Matrix Analytics (BDMA) v7.0 is an analytical framework that merges:
- Spatial analysis via Bollinger Bands (%B location),
- with a 4-factor Deep Kinetic Engine based on:
• Total Volume
• Buy Volume
• Sell Volume
• Delta (Buy – Sell) Z-Scores
and converts them into an expanded 5×8 decision matrix that continuously tracks where price is trading and how the underlying orderflow is behaving.
BDMA is not a trading system or strategy. It does not generate entry/exit signals.
Instead, it provides a structured contextual map of volatility, volume, and delta so traders can:
- identify climactic extensions vs. fakeouts,
- distinguish strong initiative moves vs. passive absorption,
- and detect squeezes, traps, and liquidity voids with a unified visual dashboard.
2. Spatial Engine – Bollinger S-States (S1–S5)
The spatial dimension of BDMA comes from classic Bollinger Bands.
Price location is expressed as Percent B (%B) and mapped into 5 spatial states (S-States):
S1 – Hyper Extension (Above Upper Band)
Price has pushed beyond the upper Bollinger Band.
Often associated with parabolic or blow-off behavior, late-stage momentum, and elevated reversal risk.
S2 – Resistance Test (Upper Zone)
Price trades in the upper Bollinger region but remains inside the bands.
Represents a sustained test of resistance, typically within an established or emerging uptrend.
S3 – Neutral Zone (Middle)
Price hovers around the mid-band.
This is the mean reversion gravity field where the market often consolidates or transitions between regimes.
S4 – Support Test (Lower Zone)
Price trades in the lower Bollinger region but inside the bands.
Represents a sustained test of support within range or downtrend structures.
S5 – Hyper Drop (Below Lower Band)
Price extends below the lower Bollinger Band.
Often aligned with panic, forced liquidations, or capitulation-type behavior, with increased snap-back risk.
These 5 S-States define the vertical axis (rows) of the BDMA matrix.
3. Deep Kinetic Engine – 4-Factor Z-Score & D-States (D1–D8)
The Deep Kinetic Engine transforms raw volume and delta into standardized Z-Scores to measure how abnormal current activity is relative to its recent history.
For each bar:
- Raw Buy Volume is estimated from the candle’s position within its range
- Raw Sell Volume is complementary to buy volume
- Raw Delta = Buy Volume – Sell Volume
- Total Volume = Buy Volume + Sell Volume
These 4 series are then normalized using a unified Z-Score lookback to produce:
1. Z_Vol_Total – overall activity and liquidity intensity
2. Z_Vol_Buy – aggression from buyers (attack)
3. Z_Vol_Sell – aggression from sellers (defense or attack)
4. Z_Delta – net victory of one side over the other
Thresholds for Extreme, Significant, and Neutral Z-Score levels are fully configurable, allowing you to tune the sensitivity of the kinetic states.
Using Z_Vol_Total and Z_Delta (plus threshold logic), BDMA assigns one of 8 Deep Kinetic states (D-States):
D1 – Climax Buy
Extreme Total Volume + Extreme Positive Delta → Buying climax or blow-off behavior.
D2 – Strong Buy
High Volume + High Positive Delta → Confirmed bullish initiative activity.
D3 – Weak Buy / Fakeout
Low Volume + High Positive Delta → Bullish delta without commitment, low-liquidity breakout risk.
D4 – Absorption / Conflict
High Volume + Neutral Delta → Aggressive two-way trade, strong absorption, war zone behavior.
D5 – Neutral
Low Volume + Neutral Delta → Low-energy environment with low conviction.
D6 – Weak Sell / Fakeout
Low Volume + High Negative Delta → Bearish delta without commitment, low-liquidity breakdown risk.
D7 – Strong Sell
High Volume + High Negative Delta → Confirmed bearish initiative activity.
D8 – Capitulation
Extreme Volume + Extreme Negative Delta → Panic selling or capitulation regime.
These 8 D-States define the horizontal axis (columns) of the BDMA matrix.
4. The 5×8 BDMA Decision Matrix
The core of BDMA is a 5×8 matrix where:
- Rows (1–5) = Spatial S-States (S1…S5)
- Columns (1–8) = Kinetic D-States (D1…D8)
Each of the 40 possible combinations (SxDy) is pre-computed and mapped to:
- a Status or Regime Title (for example: Climax Breakout, Bear Trap Spring, Capitulation Breakdown),
- a Bias (Climactic Bull, Neutral, Strong Bear, Conflict or Reversal Risk, and similar labels),
- and a Strategic Signal or Consideration (for example: High reversal risk, Wait for confirmation, Low probability zone – avoid).
Internally, BDMA resolves all 40 regimes so the current state can be displayed on the dashboard without performance overhead.
5. Key Regime Families (How to Read the Matrix)
5.1. Breakouts and Breakdowns
Climax Breakout (Top-side)
Spatial S1 with Kinetic D1 or D2
Bias: Explosive or Extreme Bull
Signal:
- Strong or climactic upside extension with abnormal bullish orderflow.
- Trend continuation is possible, but reversal risk is extremely high after blow-off phases.
Low-Conviction Breakout (Fakeout Risk)
S1 with D3 (Weak Buy, low liquidity)
Bias: Weak Bull – Caution
Signal:
- Breakout not supported by volume.
- Elevated risk of failed auction or bull trap.
Capitulation Breakdown (Bottom-side)
Spatial S5 with Kinetic D8
Bias: Climactic Bear (panic)
Signal:
- Capitulation-type selling or forced liquidations.
- Trend can still proceed, but snap-back or violent short-covering risk is high.
Initiative Breakdown vs. Weak Breakdown
- Strong, high-volume breakdown typically corresponds to D7 (Strong Sell).
- Low-volume breakdown often corresponds to D6 (Weak Sell or Fakeout) with potential for failure.
5.2. Absorption, Traps and Springs
Absorption at Resistance (Top-side conflict)
S1 or S2 with D4 (Absorption or Conflict)
Bias: Conflict – Extreme Tension
Signal:
- Heavy two-way trade near resistance.
- Potential distribution or reversal if sellers begin to dominate.
Bull Trap or Failed Auction
Typically S1 with D6 (Weak Sell breakdown behavior after a top-side attempt)
Indicates a breakout attempt that fails and reverses, often after poor liquidity structure.
Absorption at Support and Bear Trap (Spring)
S4 or S5 with D4 or D3
Bias: Conflict or Weak Bear – Reversal Risk
Signal:
- Aggressive buying into lows (spring or shakeout behavior).
- Potential bear trap if price reclaims lost territory.
5.3. Trend Phases
Strong Uptrend Phases
Typically seen when S2–S3 combine with strong bullish kinetic behavior.
Bias: Strong or Extreme Bull
Signal:
- Pullbacks into S3 or S4 with supportive kinetic states often act as trend continuation zones.
Strong Downtrend Phases
Typically seen when S3–S4 combine with strong bearish kinetic behavior.
Bias: Strong or Extreme Bear
Signal:
- Rallies into resistance with strong bearish kinetic backing may act as continuation sell zones.
5.4. Neutral, Exhaustion and Squeeze
Exhaustion or Liquidity Void
S1 or S5 with D5 (Neutral kinetics)
Bias: Neutral or Exhaustion
Signal:
- Spatial extremes without kinetic confirmation.
- Often marks the end of a move, with poor follow-through.
Choppy, Low-Activity Range
S3 with D5
Bias: Neutral
Signal:
- Low volume, low conviction market.
- Typically a low-probability environment where standing aside can be logical.
Squeeze or High-Tension Zone
S3 with D4 or tightly clustered kinetic values
Bias: Conflict or High Tension
Signal:
- Hidden battle inside a volatility contraction.
- Often precedes large directionally-biased moves.
6. Dashboard Layout & Reading Guide
When Show Dashboard is enabled, BDMA displays:
1. Title and Status Line
Name of the current regime (for example: Climax Breakout, Bear Trap Spring, Mean Reversion).
2. Bias Line
Plain-language summary of directional context such as Climactic Bull, Strong Bear, Neutral, or Conflict and Reversal Risk.
3. Signal or Strategic Notes
Concise guidance focused on risk and context, not entries. For example:
- High reversal risk – aggressive traders only
- Wait for confirmation (break or rejection)
- Low probability zone – avoid taking new positions
4. Kinetic Profile (4-Factor Z-Score)
Shows the current Z-Scores for Total Volume (Activity), Buy Volume (Attack), Sell Volume (Defense), and Delta (Net Result).
5. Matrix Heatmap (5×8)
Visual representation of S-State vs. D-State with color coding:
- Bullish clusters in a green spectrum
- Bearish clusters in a red spectrum
- Conflict or exhaustion zones in yellow, amber, or neutral tones
The dashboard can be repositioned (top right, middle right, or bottom right) and its size can be adjusted (Tiny, Small, Normal, or Large) to fit different layouts.
7. Inputs & Customization
7.1. Core Parameters (Bollinger and Z-Score)
- Bollinger Length and Standard Deviation define the spatial engine.
- Z-Score Lookback (All Factors) defines how many bars are used to normalize volume and delta.
7.2. Deep Kinetic Thresholds
- Extreme Threshold defines what is considered climactic (D1 or D8).
- Significant Threshold distinguishes strong initiative vs. weak or fakeout behavior.
- Neutral Threshold is the band within which delta is treated as neutral.
These thresholds allow you to tune the sensitivity of the kinetic classification to fit different timeframes or instruments.
7.3. Calculation Method (Volume Delta)
Geometry (Approx)
- Fast, non-repainting approach based on candle geometry.
- Suitable for most users and real-time decision-making.
Intrabar (Precise)
- Uses lower-timeframe data for more precise volume delta estimation.
- Intrabar mode can repaint and requires compatible data and plan support on the platform.
- Best used for post-analysis or research, not blind automation.
7.4. Visuals and Interface
- Toggle Bollinger Bands visibility on or off.
- Switch between Dark and Light color themes.
- Configure dashboard visibility, matrix heatmap display, position, and size.
8. Multi-Language Semantic Engine (Asia and Middle East Focus)
BDMA v7.0 includes a fully integrated multi-language layer, targeting a wide geographic user base.
Supported Languages:
English, Türkçe, Русский, 简体中文, हिन्दी, العربية, فارسی, עברית
All dashboard labels, regime titles, bias descriptions, and signal texts are dynamically translated via an internal dictionary, while semantic meaning is kept consistent across languages.
This makes BDMA suitable for multi-language communities, study groups, and educational content across different regions.
However, due to the heavy computational load of the Deep Kinetic Engine and TradingView’s strict Pine Script execution limits, it was not possible to expand support to additional languages. Adding more translation layers would significantly increase memory usage and exceed runtime constraints. For this reason, the current language set represents the maximum optimized configuration achievable without compromising performance or stability.
9. Practical Usage Notes
BDMA is most powerful when used as a contextual overlay on top of market structure (HH, HL, LH, LL), higher-timeframe trend, key levels, and your own execution framework.
Recommended usage:
- Identify the current regime (Status and Bias).
- Check whether price location (S-State) and kinetic behavior (D-State) agree with your trade idea.
- Be especially cautious in climactic and absorption or conflict zones, where volatility and risk can be elevated.
Avoid treating BDMA as an automatic green equals buy, red equals sell tool.
The real edge comes from understanding where you are in the volatility or kinetic spectrum, not from forcing signals out of the matrix.
10. Limitations & Important Warnings
BDMA does not predict the future.
It organizes current and recent data into a structured context.
Volume data quality depends on the underlying symbol, exchange, and broker feed.
Forex, crypto, indices, and stocks may all behave differently.
Intrabar mode can repaint and is sensitive to lower-timeframe data availability and your plan type.
Use it with extra caution and primarily for research.
No indicator can remove the need for clear trading rules, disciplined risk management, and psychological control.
11. Disclaimer
This script is provided strictly for educational and analytical purposes.
It is not a trading system, signal service, financial product, or investment advice.
Nothing in this indicator or its description should be interpreted as a recommendation to buy or sell any asset.
Past behavior of any indicator or market pattern does not guarantee future results.
Trading and investing involve significant risk, including the risk of losing more than your initial capital in leveraged products.
You are solely responsible for your own decisions, risk management, and results.
By using this script, you acknowledge that you understand these risks and agree that the author or authors and publisher or publishers are not liable for any loss or damage arising from its use.
Gold Share Converter Levels🟡 Gold Share Converter Levels – Map GLD/ETF Prices to Spot & Futures
Gold Share Converter Levels is a utility tool for traders who follow gold shares / ETFs (like GLD) but trade on XAUUSD spot or gold futures.
It converts your share or ETF prices (for example GLD option strikes, gap levels, or key closes) into equivalent XAUUSD or gold futures prices and plots them as horizontal lines on your gold chart. Each level has its own color and label so you can clearly see where a given share price sits in the spot or futures market.
This is useful if you:
Watch GLD options, gamma levels, or ETF orderflow,
But execute trades on XAUUSD or GC futures,
And want a clean way to see “GLD 390”, “GLD 400”, etc. directly on your gold chart.
🔍 How the conversion works (concept)
The script first calculates a conversion ratio between your share/ETF and the gold market you’re looking at:
In Spot mode (XAUUSD):
Ratio = XAUUSD price ÷ Share price
In Futures mode (Gold futures):
Ratio = Gold futures price ÷ Share price
It then takes each share price you enter (for example 380, 385, 390, 400) and multiplies it by that ratio to get the corresponding gold price.
Result:
Share 390 → Spot 4230.01 (example)
You can choose between two behaviors:
Dynamic mode
Uses live 5-minute prices for the share, XAUUSD, and futures.
The ratio updates as the relationship between GLD and gold changes, so the converted levels move with the market (useful intraday when ETF/spot/futures drift).
Static mode
You type in a fixed ratio (for example, 10.87 if XAUUSD is roughly 10.87 × GLD).
All levels are calculated with that constant ratio.
This is helpful if you want timeframe-independent levels (e.g., higher-TF analysis, screenshots, or backtests) without the ratio changing on every bar.
If data for the share symbol isn’t available, or if the ratio can’t be computed, the script shows a clear warning instead of plotting misleading lines.
⚙️ What the indicator does on the chart
When applied to an XAUUSD or gold futures chart, the indicator:
Converts up to 10 share/ETF prices into equivalent spot or futures levels.
Draws a horizontal line at each converted level, with:
user-selected color,
configurable width and line style (solid/dashed/dotted),
extension across the whole chart.
Optionally adds a label on each line showing both values, e.g.:
S: 390 → Spot: 4230.01 or S: 390 → Fut: 4315.50.
Updates lines only on the last bar to keep the chart clean and efficient.
Shows warnings when:
the chart is not XAUUSD or gold futures,
or when the share symbol data is missing,
or when Static mode is selected but no valid ratio is entered.
The script does not generate trade signals. It’s a mapping/visualization tool that links your ETF/share analysis to the gold market you actually trade.
🛠 Inputs (what you can customize)
Conversion Mode
Spot (XAUUSD) – convert share prices to XAUUSD levels.
Futures (Gold Futures) – convert share prices to gold futures levels.
Share Symbol
The ETF or share you are tracking (default GLD).
You can change this to another gold-related ETF if you wish.
Gold Futures Symbol
Futures contract used in Futures mode (default GC1!).
Line Mode
Dynamic – uses live prices to compute the ratio.
Static – uses your manual ratio for stable, timeframe-independent levels.
Static Spot Ratio
Manual conversion ratio used only in Static mode (e.g. 10.87).
If 0 or not set, the script warns you instead of plotting.
Share Price 1–10 + Color 1–10
Up to 10 share/ETF prices you want to project into gold.
Each level has its own color so you can group or tag different strikes/zones.
Show Labels, Label Position, Label Size
Turn labels on/off and choose where they appear (far left, center, far right) and how large they are.
Line Width & Line Style
Global styling for all converted levels.
📈 How to use it in practice
Example – Using GLD strikes to trade XAUUSD
On your options/ETF platform, identify important GLD levels:
e.g. large open interest or gamma at GLD 380, 385, 390, 400.
In the indicator settings:
Set Share Symbol to GLD.
Choose Spot (XAUUSD) mode.
Use Dynamic mode if you want the mapping to follow the live GLD/XAUUSD relationship, or Static mode with a fixed ratio if you prefer stable lines.
Enter 380, 385, 390, 400 into the share price inputs and assign colors (for example, red for call walls, green for put walls).
On your XAUUSD chart, you’ll now see horizontal lines at the equivalent spot prices for those GLD levels.
You can use them as support/resistance, target zones, or areas where you expect stronger reactions because ETF/option flow is concentrated there.
Example – Mapping GLD levels to gold futures
Switch Conversion Mode to Futures (Gold Futures) and select your preferred GC contract.
The script will then project GLD prices onto the gold futures chart instead of spot.
HL/LH Confirmation Strategy (Clean Market Structure)🚦 HL/LH Confirmation Strategy (Clean Market Structure)
This indicator is specifically designed to help traders identify a clean market structure by tracking the formation of Higher Lows (HL) and Lower Highs (LH). Rather than chasing new price extremes (new Highs or new Lows), the focus is on waiting for trend strength confirmation before considering an entry.
Key Strategy: Waiting for Trend Confirmation 💡
The core advantage of this indicator lies in its confirmation strategy:
For Uptrends (Bullish): The indicator doesn't signal just any low, but only when it detects a Higher Low (HL)—a low that is higher than the previous low. This is a crucial sign that the market has defended a level and is ready to continue moving up. This approach helps avoid chasing new lows and encourages entering trades after confirmation.
For Downtrends (Bearish): Similarly, the indicator looks for the formation of a Lower High (LH)—a high that is lower than the previous high. This suggests that buyers failed to breach the last resistance, signaling a potential continuation of the downside movement.
The indicator alternates between looking for an HL, then an LH, then an HL, visually mapping the Pivot swings and highlighting the moment of trend confirmation for potential trade entries.
Indicator Features ✨
Clear Structure Display: By drawing connecting lines between valid HL and LH points, the indicator visually maps the current market structure.
Pivot Detection: It uses an effective method for Pivot detection, with the sensitivity adjustable via the "Pivot Left" and "Pivot Right" parameters.
Custom Label Placement (Crucial Detail):
HL Label: Placed below the candle for better visual clarity of the bullish support area.
LH Label: Placed above the candle for better visual clarity of the bearish resistance area.
Customizable Colors: Full control over the background and text colors for HL and LH signals, as well as the thickness and color of the connecting lines between Pivot points.
⚙️ Input Parameters
Pivot Settings
Pivot Left / Pivot Right: Determine the number of bars to the left and right that must have lower/higher prices for a point to be declared a valid Pivot (Pivot High or Pivot Low). Increase these values to detect more significant, longer-term swings.
Signal Colors
HL Background/Text Color: Colors for the background and text of the Higher Low (HL) labels.
LH Background/Text Color: Colors for the background and text of the Lower High (LH) labels.
Line Settings
Line Color / Line Width: Allows customization of the appearance of the line connecting the detected HL and LH points.
Recommended Use
This indicator is ideal for traders practicing Price Action and strategies based on Market Structure. Use the HL signals as potential zones for long entries (buying) in an uptrend, and LH signals as zones for short entries (selling) in a downtrend, always after the point formation is confirmed.






















