Inverse VIX / Custom Inverse Line🎯 Main Idea
This indicator creates a line that moves opposite to the VIX (Volatility Index) — or any symbol you choose.
When VIX rises (fear increases), → this line goes down.
When VIX falls (market calm), → this line goes up.
It helps you visually understand market sentiment — calm periods (bullish) vs fear periods (bearish).
⚙️ Input Settings
Setting Description
Symbol to invert The symbol to invert. Default is CBOE:VIX.
Inverse mode The method used to invert the values. There are 3 options:
① Negate Simply flips the sign (multiplies by -1). Very straightforward.
② Reciprocal Uses the mathematical inverse (1 ÷ value). High values become smaller, and vice versa.
③ Inverse Normalized The most useful mode 🔥 — normalizes values between 0–100 and flips them, similar to an RSI.
Normalization lookback How many bars to use for normalization (default 252 = roughly one trading year).
Smoothing (SMA) Number of bars for smoothing (makes the line smoother).
Use log for reciprocal Uses logarithmic scaling to stabilize big swings.
Plot color / width Customize the line’s color and thickness.
Show original source If enabled, shows the original VIX line for comparison.
📈 How It Works
The script fetches the close price of the VIX (or your chosen symbol).
It applies the selected inversion method.
The inverted line is plotted on the chart.
In “Inverse Normalized” mode:
The range is 0–100.
Values above 75 = high optimism (market often overheated).
Values below 25 = high fear (potential buying opportunity).
A middle line at 50 marks neutral sentiment.
⚠️ Alerts
The indicator includes two default alerts when using “Inverse Normalized” mode:
🔔 Above 75: Market showing strong optimism (potential top or correction zone).
🔔 Below 25: Market showing fear (potential bottom or buy signal).
🧠 How to Use It
Use it on daily or weekly charts for clearer signals.
Compare it with SPX or NASDAQ:
When the Inverse VIX line rises, markets often go up.
When it falls, markets usually drop or consolidate.
Combine it with other indicators (e.g., RSI, MACD) for confirmation.
"纳斯达克指数期货cfd" için komut dosyalarını ara
CandleTrack Pro | Pure Price Action Trend Detection📖 CandleTrack Pro | Pure Price Action Trend Detection
CandleTrack Pro is a clean, non-repainting trend detection tool built purely on price action logic.
It uses a dynamic ATR-based trailing system to detect trend shifts while keeping the chart visually simple.
🧠 How It Works
Tracks volatility using ATR.
Identifies trend shifts when price crosses trailing stops.
Highlights bullish and bearish bars visually for easy reading.
⚙️ Inputs
ATR Sensitivity: Controls how fast the trend adapts.
Use High/Low for Stop: Enables candle wick–based structure tracking.
📊 Ideal For
Traders who want a minimalist price action view with clear trend direction — no clutter, no lagging oscillators.
⚠️ Disclaimer
This script is for educational and technical analysis purposes only.
It is not financial advice. Always confirm setups using your own judgment and risk management.
M15 Daily Open Candle Highlighter — v6Tô màu cây nến 15 phút đầu tiên của mỗi NGÀY giao dịch (theo múi giờ của symbol).
Orderflow Label with OffsetThis Pine Script automatically displays orderflow labels on the chart to visualize the current market structure and potential breakout or reversal zones.
It compares the current candle’s high and low with those of the previous cycle (e.g., 90 minutes) and places descriptive labels that highlight possible bullish or bearish behavior.
Functionality & Logic (Step-by-step explanation)
Inputs:
cycleLength: Defines the duration of one “cycle” in minutes (for example, 90 minutes).
labelXOffset: Moves the label a few bars to the right, so it doesn’t overlap the current candle.
labelStyleOffset: Controls whether labels appear pointing to the right or left side of the chart.
Previous Cycle:
The script uses request.security to retrieve the high and low from the previous cycle timeframe.
These act as reference points (similar to key levels or market structure highs/lows).
Current Candle:
The script reads the current bar’s high, low, and close values for comparison.
Orderflow Conditions:
bullSupport: The current high and close are both above the previous high → bullish breakout (strong continuation).
bullReject: The high breaks above the previous high but closes below → bullish rejection / possible top.
bearRes: The low and close are both below the previous low → bearish breakdown (continuation to downside).
bearReclaim: The low goes below the previous low but closes above → bearish reclaim / possible reversal.
Label Logic:
Before creating a new label, the previous one is deleted (label.delete(flowLbl)) to avoid clutter.
The label’s X position is shifted using xPos = bar_index + labelXOffset.
The style (left/right) is set based on the user’s preference.
Displayed Labels:
🟢 Bullish Breakout → price closes above the previous cycle high.
🟠 Bullish Rejection → fake breakout or possible top.
🔴 Bearish Breakdown → price closes below the previous cycle low.
🟡 Bearish Reclaim → failed breakdown or potential trend reversal.
⚪ Neutral (Wait) → no clear signal, advises patience and watching for setups (like CHoCH or FVGs).
Visual Behavior:
The labels appear slightly to the right of the bar for better visibility.
The color and text alignment dynamically adjust depending on whether the label is pointing left or right.
Fractals & SweepThe Fractals & Sweep indicator is designed to identify key market structure points (fractals) and detect potential liquidity sweeps around those areas. It visually highlights both Bill Williams fractals and regular fractals, and alerts the user when the market sweeps liquidity above or below the most recent fractal levels.
Fractal Recognition:
Detects both bullish (low) and bearish (high) fractals on the price chart.
Users can choose between:
Bill Williams fractal logic (default), or
Regular fractal logic (when the “Filter Bill Williams Fractals” option is enabled).
Fractals are plotted directly on the chart as red downward triangles for highs and green upward triangles for lows.
Fractal Tracking:
The indicator stores the most recent high and low fractal levels to serve as reference points for potential sweep detection.
Sweep Detection:
A bearish sweep is triggered when the price wicks above the last fractal high but closes below it — suggesting a liquidity grab above resistance.
A bullish sweep is triggered when the price wicks below the last fractal low but closes above it — suggesting a liquidity grab below support.
When a sweep occurs, the indicator draws a horizontal line from the previous fractal point to the current bar.
Alert System:
Custom alerts notify the trader when a bearish sweep or bullish sweep occurs, allowing for timely reactions to potential reversals or liquidity traps.
OBR 15min Session Opening Range Breakout + Volume Trend DeltaMLGOBR 15min Session Opening Range Breakout + Volume Trend DeltaMLG
EMA Candle ColorEMA Candle Color - Visual EMA-Based Candle Coloring System
Overview:
This indicator provides a visual approach to trend identification by coloring candles based on their relationship with an Exponential Moving Average (EMA). The script dynamically colors both the candle bars and plots custom candles to give traders an immediate visual representation of price momentum relative to the EMA.
How It Works:
The indicator calculates an EMA based on your chosen source (default: open price) and length (default: 10 periods). It then applies a simple yet effective rule:
When the source price is ABOVE the EMA → Candles turn GREEN (bullish)
When the source price is BELOW the EMA → Candles turn RED (bearish)
This instant visual feedback helps traders quickly identify:
Current trend direction
Potential support/resistance levels (the EMA line itself)
Momentum shifts when candles change color
Key Features:
Customizable EMA Parameters: Adjust the EMA length (1-500) and source (open, close, high, low, hl2, hlc3, ohlc4)
Custom Color Selection: Choose your preferred bullish and bearish colors to match your chart theme
Dual Visualization: Both bar coloring and custom plotcandle for enhanced visibility
Offset Capability: Shift the EMA line forward or backward for advanced analysis
Clean Design: Minimal overlay that doesn't clutter your chart
How to Use:
1. Add the indicator to your chart
2. Adjust the EMA Length based on your trading timeframe:
- Shorter periods (5-20) for day trading and scalping
- Medium periods (20-50) for swing trading
- Longer periods (50-200) for position trading
3. Watch for candle color changes as potential entry/exit signals
4. Combine with other indicators for confirmation
Trading Applications:
Trend Following: Stay in trades while candles remain the same color
Reversal Signals: Watch for color changes as early reversal warnings
Filter System: Only take long positions during green candles, shorts during red
Visual Clarity: Quickly assess market sentiment at a glance
Settings:
Length: EMA calculation period (default: 10)
Source: Price data used for EMA calculation (default: open)
Offset: Shift EMA line on chart (default: 0)
Bullish Color: Color for candles above EMA (default: green)
Bearish Color: Color for candles below EMA (default: red)
Technical Details:
The script uses Pine Script v6 and employs the standard ta.ema() function for smooth, responsive EMA calculations. The candle coloring is achieved through both barcolor() and plotcandle() functions, ensuring visibility across different chart settings.
Note:
This indicator works on all timeframes and instruments. For best results, combine with proper risk management and additional confirmation indicators. The EMA Candle Color system is designed to simplify trend identification, not as a standalone trading system.
Tips:
Use on higher timeframes for more reliable signals
Combine with volume analysis for confirmation
Consider using multiple EMA periods for confluence
Disable default candles if using the plotcandle feature to avoid overlap
This script is open-source. Feel free to use it as a foundation for your own trading system or modify it to suit your specific trading style.
Volume Reversal Candle✅ This script is clean and fully functional — it highlights volume-based reversal zones using both color and labels directly on the main chart.
This indicator detect potential reversal points where price forms a local high/low together with a volume spike.
Reversal Zone:
Bullish = candle closes green, is at local lowest low.
Bearish = candle closes red, is at local highest high.
🔔 Alerts
You can set TradingView alerts using:
📈 Bullish Volume Reversal
📉 Bearish Volume Reversal
They’ll trigger when such reversals occur on bar close.
💡 Visuals on Chart
Candle color: Green (bullish) / Red (bearish) when reversal detected.
Text labels: “Bullish Volume” or “Bearish Volume.”
Marker arrows: ▲ for bulls below bar, ▼ for bears above bar.
Everything appears on the main chart, not in a separate pane.
cd_VWAP_mtg_CxCd_VWAP_mtg_Cx
Overview
The most important condition for being successful and profitable in the market is to consistently follow the same rules without compromise, while the price constantly moves in countless different ways.
Regardless of the concept or trading school, those who have rules win.
In this indicator, we will define and use three main sections to set and apply our rules.
The indicator uses the VWAP (Volume Weighted Average Price) — price weighted by volume.
Two VWAPs can be displayed either by manually entering date and time, or by selecting from the menu.
From the menu, you can select the following reference levels:
• HTF Open: Opening candle of the higher timeframe
• ATH / ATL: All-Time High / All-Time Low candles
• PMH / PML, PWH / PWL, PDH / PDL, PH4H / PH4L: Previous Month, Week, Day, or H4 Highs/Lows
• MH / ML, WH / WL, DH / DL, H4H / H4L: Current Month, Week, Day, or H4 Highs/Lows
Additionally, it includes:
• Mitigation / Order Block zones (local buyer-seller balance) across two timeframes.
• Buy/Sell Side Liquidity levels (BSL / SSL) from the aligned higher timeframe (target levels).
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Components and Usage
1 – VWAP
Calculated using the classical method:
• High + Volume for the upper value
• Close + Volume for the middle value
• Low + Volume for the lower value
The VWAP is displayed as a colored band, where the coloring represents the bias.
Let’s call this band FVB (Fair Value Band) for ease of explanation.
The FVB represents the final line of defense, the buyer/seller boundary, and in technical terms, it can be viewed as premium/discount zones or support/resistance levels.
Within this critical area, the strong side continues its move, while the weaker side is forced to retreat.
But does the side that breaks beyond the band always keep going?
We all know that’s not always the case — in different pairs and timeframes, price often violates both the upper and lower edges multiple times.
To achieve more consistent analysis, we’ll define a new set of rules.
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2 – Mitigation / Order Blocks
In trading literature, there are dozens of different definitions and uses of mitigation or order blocks.
Here, we will interpret the candlesticks to create our own definition, and we’ll use the zones defined by candles that fit this pattern.
For simplicity, let’s abbreviate mitigation as “mtg.”
For a candle to be selected as an mtg, it must clearly show strength from one side (buyers or sellers) — which can also be observed visually on the chart.
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Bullish mtg criteria:
1. The first candle must be bullish (close > open) → buyers are strong.
2. The next candle makes a new high (buyers push higher) but fails to close above and pulls back to close inside the previous range → sellers react.
It also must not break the previous low → buyers defend.
3. In the following candle(s), as long as the first candle’s low is protected and the second candle’s high is broken, it indicates buyer strength → a bullish mtg is confirmed.
When price returns to this zone later (gets mitigated), the expectation is that the zone holds and price pushes upward again.
If the low is violated, the mtg becomes invalid.
In technical terms:
If the previous candle’s high is broken but no close occurs above it, the expectation is a reversal move that will retest its low.
Question:
What if the low is protected and in the next candle(s) a new high forms?
Answer: → Bullish mtg.
Bearish mtg (opposite)
3 – Buy/Sell Side Liquidity Levels
With the help of the aligned higher timeframe (swing points), we will define our market structure framework and set our liquidity targets accordingly.
Let’s put the pieces together.
If we continue explaining from a trade-focused perspective, our first priority should be our bias — our projection or expectation of the market’s potential movement.
We will determine this bias using the FVB.
Since we know the band often gets violated on both sides, we want the price action to convince us of its strength.
To do that, we’ll use the first candle that closes beyond the band.
The distance from that candle’s high to low will be our threshold range
Bullish level = high + (candle length × coefficient)
Bearish level = low - (candle length × coefficient)
When the price closes beyond this threshold, it demonstrates strength, and our bias will now align in that direction.
How long will this bias remain valid?
→ Until a closing candle appears on the opposite side of the band.
If a close occurs on the opposite side, then a new bias will only be confirmed once the new threshold level is broken.
During the period in between, we have no bias.
Let’s continue on the chart:
Now that our bias has been established, where and how do we look for trade opportunities?
There are two possible entry approaches:
• Aggressive entry: Enter immediately with the breakout.
• Conservative entry: Wait for a pullback and enter once a suitable structure forms.
(The choice depends on the user’s preference.)
At this stage, the user can apply their own entry model. Let’s give an example:
Let’s assume we’re looking for setups using HTF sweep + LTF CISD confirmation.
Once our bias turns bearish, we look for an HTF sweep forming on or near an FVB or mtg block, and then confirm the entry with a CISD signal.
In summary:
• FVB defines the bias, the entry zone, and the target zone.
• Mtg blocks represent entry zones.
• BSL / SSL levels suggest target zones.
Overlapping FVB and mtg blocks are expected to be more effective.
The indicator also provides an option for a second FVB.
A band attached to a lower timeframe can be used as confirmation.
• Main band: Bias + FVB
• Extra band: Entry trigger confirmed by a close beyond it.
Mtg blocks can provide trade entry opportunities, especially when the price is moving strongly in one direction (flow).
Consecutive or complementary mtg blocks indicate that the price is decisive in one direction, while sometimes also showing areas where we should wait before entering.
Mtg blocks that contain an FVG (Fair Value Gap) within their body are expected to be more effective.
Settings:
The default values are set to 1-3-5m, optimized for scalping trades.
VWAP settings:
Main VWAP (FVB):
• Can be set by selecting a start time, manually entering date and time, or choosing a predefined level.
Extra VWAP (FVB):
• Set from the menu. If not needed, select “none.”
• Visibility, color, and fill settings for VWAP are located here.
• Threshold levels visibility and color options are also in this section.
• The multiplier is used for calculating the threshold level.
Important:
• If the Extra VWAP is selected but not displayed, you need to increase the chart timeframe.
o Example: If the chart is on 3m and you select WH from the extra options, it will not display correctly.
• Upper limits for VWAP:
o 1m and 3m charts: daily High/Low
o 5m chart: weekly High/Low
________________________________________
Mtg Settings:
• Visibility and color settings for blocks are configured here.
• To display on a second timeframe, the box must be checked and the timeframe specified.
• Optional display modes: “only active blocks,” “only last violated mtg,” or “all.”
• For confirmation and removal criteria, choosing high/low or close determines the source used for mtg block formation and deletion conditions.
BSL/SSL Settings:
• Visibility, color, font size, and line style can be configured in this section.
When “Auto” is selected, the aligned timeframe is determined automatically by the indicator, while in manual mode, the user defines the timeframe.
Final Words:
Simply opening trades every time the price touches the VWAP or mtg blocks will not make you a profitable trader. Searching for setups with similar structures while maintaining proper risk management will yield better results in the long run.
I would be happy to hear your feedback and suggestions.
Happy trading!
Quanloki + ICT Smart Entry (v7.3 Pivot Entry Only + BB)If you need a signal group or team, please contact @quanloki or tele to get support and refund for the VIP group.
Quanloki QQE + Smart TP/SL (v6.1 Entry Option)Version v6.1 has more complete functions. You can choose open next to enter prices faster. For any information about orders or indicators, you can contact tele @Quanloki for instructions and refunds.
MULTI-CONDITION RSI SIGNAL GENERATOR═══════════════════════════════════════════════
MULTI-CONDITION RSI SIGNAL GENERATOR
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OVERVIEW:
This indicator generates trading signals based on Relative Strength Index (RSI) movements with multiple confirmation layers designed to filter false signals and identify high-probability reversal opportunities.
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WHAT MAKES THIS ORIGINAL:
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Unlike basic RSI indicators that simply plot overbought/oversold crossovers, this system combines FOUR distinct confirmation mechanisms:
1. PERSISTENCE FILTERING - Requires RSI to remain in extreme zones for a minimum duration
2. LOOKBACK VALIDATION - Verifies recent extreme zone visits before signaling
3. DIVERGENCE DETECTION - Identifies price/RSI divergence for stronger signals
4. MOMENTUM CONFIRMATION - Provides trend-continuation entries via midline crosses
This multi-layered approach significantly reduces whipsaw trades that plague simple RSI crossover systems.
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HOW IT WORKS (TECHNICAL METHODOLOGY):
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STEP 1: RSI CALCULATION
- Standard RSI calculation using user-defined period (default: 14)
- Monitors two extreme zones: Overbought (default: 70) and Oversold (default: 30)
STEP 2: PERSISTENCE FILTERING
The script counts how many bars RSI has spent in extreme zones within the lookback period:
- For overbought signals: Counts bars where RSI > 70
- For oversold signals: Counts bars where RSI < 30
- Signal only triggers if count >= Minimum Duration (default: 4 bars)
This filters out brief spikes that immediately reverse, focusing on sustained extreme conditions that are more likely to lead to genuine reversals.
STEP 3: LOOKBACK VALIDATION
- Checks if RSI reached extreme zones within the Lookback Bars period (default: 20)
- Uses ta.highest() and ta.lowest() functions to verify recent extremes
- Ensures we're trading reversals from meaningful extremes, not random crossovers
STEP 4: BASIC SIGNAL GENERATION
- BUY SIGNAL: RSI crosses above the oversold level (30) after meeting persistence and lookback conditions
- SELL SIGNAL: RSI crosses below the overbought level (70) after meeting persistence and lookback conditions
STEP 5: DIVERGENCE DETECTION
The script identifies two types of divergence over the Divergence Lookback period (default: 5 bars):
A) BULLISH DIVERGENCE (indicates potential upward reversal):
- Price makes a lower low (current low < previous low)
- RSI makes a higher low (current RSI low > previous RSI low)
- Suggests weakening downward momentum
B) BEARISH DIVERGENCE (indicates potential downward reversal):
- Price makes a higher high (current high > previous high)
- RSI makes a lower high (current RSI high < previous RSI high)
- Suggests weakening upward momentum
STEP 6: STRONG SIGNAL CONFIRMATION
- STRONG BUY: Basic buy signal + bullish divergence present
- STRONG SELL: Basic sell signal + bearish divergence present
- These represent the highest-probability setups
STEP 7: MOMENTUM SIGNALS (OPTIONAL)
- MOMENTUM BUY: RSI crosses above 50 after being oversold (trend continuation)
- MOMENTUM SELL: RSI crosses below 50 after being overbought (trend continuation)
- Smaller signals for traders who want trend-following entries
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SIGNAL TYPES AND VISUAL INDICATORS:
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📈 GREEN TRIANGLE (below bar) - Standard Buy Signal
RSI crossed above oversold level with confirmation filters
📉 RED TRIANGLE (above bar) - Standard Sell Signal
RSI crossed below overbought level with confirmation filters
🔵 BLUE TRIANGLE (below bar) - Strong Buy Signal
Buy signal + bullish divergence (HIGHEST PRIORITY)
🟣 PURPLE TRIANGLE (above bar) - Strong Sell Signal
Sell signal + bearish divergence (HIGHEST PRIORITY)
🟢 GREEN CIRCLE (small) - Momentum Buy
RSI crosses above 50 after oversold conditions
🔴 RED CIRCLE (small) - Momentum Sell
RSI crosses below 50 after overbought conditions
BACKGROUND SHADING:
- Light red background: RSI currently overbought
- Light green background: RSI currently oversold
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PARAMETER SETTINGS:
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1. OVERBOUGHT LEVEL (default: 70, range: 50-90)
- Higher values = fewer but stronger overbought signals
- Lower values = more sensitive to overbought conditions
- Recommended: 70 for standard markets, 80 for crypto/volatile assets
2. OVERSOLD LEVEL (default: 30, range: 10-50)
- Lower values = fewer but stronger oversold signals
- Higher values = more sensitive to oversold conditions
- Recommended: 30 for standard markets, 20 for crypto/volatile assets
3. RSI PERIOD (default: 14, range: 2-50)
- Standard RSI calculation period
- Lower = more sensitive/faster signals
- Higher = smoother/slower signals
- Recommended: 14 (industry standard)
4. MINIMUM DURATION (default: 4, range: 1-20)
- Required bars in extreme zone before signal
- Higher values = fewer signals but better quality
- Lower values = more signals but more false positives
- Recommended: 3-5 for day trading, 5-10 for swing trading
5. LOOKBACK BARS (default: 20, range: 5-100)
- How far back to check for extreme zone visits
- Should match your typical trading timeframe
- Recommended: 20 for intraday, 50 for daily charts
6. DIVERGENCE LOOKBACK (default: 5, range: 2-20)
- Period for comparing price/RSI highs and lows
- Lower values = more frequent divergence signals
- Higher values = more significant divergences
- Recommended: 5-10 depending on timeframe
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HOW TO USE THIS INDICATOR:
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RECOMMENDED TRADING APPROACH:
1. PRIMARY ENTRIES: Focus on Strong Buy/Sell signals (blue/purple triangles)
- These have the highest win rate due to divergence confirmation
- Wait for price action confirmation (support/resistance, candlestick patterns)
2. SECONDARY ENTRIES: Regular Buy/Sell signals (green/red triangles)
- Use these when Strong signals are infrequent
- Require additional confirmation from other indicators or chart patterns
3. TREND CONTINUATION: Momentum signals (small circles)
- Best used when overall trend is clear
- Not recommended for reversal trading
4. FILTER TRADES: Use background shading as context
- Be cautious entering longs when background is red (overbought)
- Be cautious entering shorts when background is green (oversold)
RISK MANAGEMENT GUIDELINES:
- Never risk more than 2-5% of capital per trade
- Use stop losses below recent swing lows (buys) or above swing highs (sells)
- Target at least 1.5:1 reward-to-risk ratio
- Consider position sizing based on signal strength
TIMEFRAME RECOMMENDATIONS:
- 15min - 1hour: Day trading with adjusted parameters (lower minimum duration)
- 4hour - Daily: Swing trading with default parameters
- Weekly: Position trading with increased lookback periods
COMPLEMENTARY TOOLS:
This indicator works best when combined with:
- Support and resistance levels
- Trend indicators (moving averages, trend lines)
- Volume analysis
- Price action patterns (engulfing candles, pin bars)
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LIMITATIONS AND CONSIDERATIONS:
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- This is NOT a standalone trading system - requires additional analysis
- RSI-based strategies perform best in ranging/choppy markets
- May generate fewer signals in strong trending markets
- Divergence signals can be early - wait for price confirmation
- Not recommended for highly illiquid assets
- Backtest on your specific market before live trading
- No indicator is 100% accurate - always use proper risk management
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TECHNICAL NOTES:
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- Code is original and does not reuse external libraries
- Uses Pine Script v5 native functions only
- Alert conditions included for all signal types
- No repainting - signals appear and remain fixed
- Efficient calculation methods minimize processing load
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ALERT SETUP:
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Four alert conditions are available:
1. "Buy Alert" - Triggers on standard buy signals
2. "Sell Alert" - Triggers on standard sell signals
3. "Strong Buy Alert" - Triggers on divergence-confirmed buy signals
4. "Strong Sell Alert" - Triggers on divergence-confirmed sell signals
To set up alerts: Right-click chart → Add Alert → Select desired condition
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This indicator is provided for educational and informational purposes. Always practice proper risk management and never trade with money you cannot afford to lose.
UmutTrades — Dynamic Buy/Sell Bubbles (stable)This indicator detects large buy and sell transactions based on user-defined thresholds (either in base units or quote value).
It places colored bubbles on the chart where those big orders occur green for buys and red for sells with the bubble’s color intensity and size reflecting how large the order is relative to your threshold.
MACD (Buy & Sell signals)This file uses the original code of the MACD and adds a Buy Sell signal when the MACD cuts the signal
Reversal Probability Meter PRO [optimized for Xau/Usd m5]🎯 Reversal Probability Meter PRO
A powerful multi-factor reversal probability detector that calculates the likelihood of bullish or bearish reversals using RSI, EMA bias, ATR spikes, candle patterns, volume spikes, and higher timeframe (HTF) trend alignment.
🧩 MAIN FEATURES
1. Reversal Probability (Bullish & Bearish)
Displays two key metrics:
Bull % — probability of bullish reversal
Bear % — probability of bearish reversal
These are computed using RSI, EMAs, ATR, demand/supply zones, candle confirmations, and volume spikes.
📊 Interpretation:
Bull % > 70% → Buying pressure building up
Bull % > 85% → Strong bullish reversal confirmed
Bear % > 70% → Selling pressure building up
Bear % > 85% → Strong bearish reversal confirmed
2. Alert Probability Threshold
Adjustable via alertThreshold (default = 85%).
Alerts trigger only when probability ≥ threshold, and confirmed by zone + volume spike + candle pattern.
🔔 Alerts Available:
✅ Bullish Smart Reversal
🔻 Bearish Smart Reversal
To activate: Right-click chart → “Add alert” → choose the alert condition from the indicator.
3. Demand / Supply Zone Detection
The script determines the price position within the last zoneLook (default 30) bars:
🟢 DEMAND → Lower 35% of range (potential bounce zone)
🔴 SUPPLY → Upper 35% of range (potential rejection zone)
⚪ MID → Neutral area
📘 Purpose: Validates reversals based on context:
Bullish only valid in Demand zones
Bearish only valid in Supply zones
4. Higher Timeframe (HTF) Trend Alignment
Reads EMA bias from a higher timeframe (default = 15m) for trend confirmation.
Reversals against HTF trend are automatically weighted down prevents false countertrend signals.
📈 Example:
M5 chart under M15 downtrend → Bullish probability is reduced.
5. Candle Confirmation Patterns
Two key price action confirmations:
Bullish: Engulfing or Pin Bar
Bearish: Engulfing or Pin Bar
A valid reversal requires both a candle confirmation and a volume spike.
6. Volume & ATR Spike Filters
Volume Spike: volume > SMA(20) × 1.3
ATR Spike: ATR > SMA(ATR, 50) × volMult
🎯 Ensures that only strong market moves with real energy are considered valid reversals.
7. Reversal Momentum Histogram
A color-gradient oscillator showing the momentum difference:
Green = bullish dominance
Red = bearish dominance
Flat near 0 = neutral
Controlled by showOscillator toggle.
8. Smart Info Panel
A compact dashboard displayed on the top-right with 4 rows:
Row Info Description
1 Bull % Bullish reversal probability
2 Bear % Bearish reversal probability
3 Zone Market context (DEMAND / SUPPLY / MID)
4 Signal Strength Current signal intensity (probability %)
Dynamic Colors:
90% → Bright (strong signal)
75–90% → Yellow/Orange (medium)
<75% → Gray (weak)
9. Sensitivity Mode
Fine-tunes indicator reactivity:
🟥 Aggressive: Detects reversals early (more signals, less accurate)
🟨 Normal: Balanced, default mode
🟩 Conservative: Filters only strongest reversals (fewer but more reliable)
10. Custom Color Options
Customize bullish and bearish colors via bullBaseColor and bearBaseColor inputs for your preferred chart theme.
⚙️ HOW TO USE
Add to Chart
→ Paste the script into Pine Editor → “Add to chart”.
Select Timeframe
→ Best for M5–M30 (scalping/intraday).
→ H1–H4 for swing trading.
Monitor the Info Panel:
Bull % ≥ 85% + Zone = Demand → Strong bullish reversal signal
Bear % ≥ 85% + Zone = Supply → Strong bearish reversal signal
Watch the Histogram:
Rising green bars = bullish momentum gaining
Deep red bars = bearish momentum gaining
Enable Alerts:
Right-click chart → “Add alert”
Choose Bullish Smart Reversal or Bearish Smart Reversal
🧠 TRADING TIPS
Use Conservative mode for noisy lower timeframes (M5–M15).
Use Aggressive mode for higher timeframes (H1–H4).
Combine with manual support/resistance or zone boxes for precision entries. Personally i use Order Block.
Best reversal setups occur when all align:
Bull % > 85%
Zone = DEMAND
Volume spike present
Candle = Bullish engulfing
HTF trend supportive
ADAM Projection - Efficiency Ratio Adaptive)Overview
The ADAM Projection is a visualization of how a price path might extend from its recent motion, expressed as a continuation (trend reflection) or anti-trend (mean reversion) pattern. This indicator expands upon Jim Sloman’s original ADAM projection—introduced in “The Adam Theory of Markets or What Matters Is Profit” (1983)—by adding a modern quantitative framework for Efficiency Ratio (ER) weighting, time-scaled path normalization, and smooth blending between continuation and anti-trend projections.
What Is the ADAM Theory?
Jim Sloman’s original ADAM projection was designed to model pure trend continuation. He proposed that every market motion could be mirrored around a central anchor price (the “Adam line”), effectively reflecting past price movements forward in time to visualize what a continuation of the same geometric path would look like. This reflection concept captured the idea that market structure exhibits self-similarity and that price trends often extend symmetrically beyond recent pivots.
How This Script Extends It
This version generalizes Sloman’s concept by introducing an adjustable blend between continuation (reflection) and anti-trend (forward paste) behavior, weighted by an adaptive ER domain.
Anchor Axis
The reflection axis (anchorPrice) can be Close, HL2, HLC3, or OHLC4.
The projection is drawn forward from this anchor for a user-defined horizon (len bars).
Dual Paths
Continuation (Reflection): Mirrors historical closes across the anchor.
Anti-trend (Forward Paste): Extends historical closes directly forward without inversion.
Efficiency Ratio (ER)
The Efficiency Ratio measures how directional recent price movement has been: ER = |Net Change| / Σ|Δi|
Values near +1 indicate strong directionality (favoring continuation); values near 0 indicate noise or consolidation (favoring anti-trend behavior).
Signed ER Normalization
ER values are mapped into a user-defined domain between erMin and erMax, with:
erSharp (γ) controlling the steepness of the blend curve
erFloor providing stability when ER ≈ 0
beta (β) weighting volatility across time (β = 0.5 approximates √time scaling)
Blended Projection
Each projected point is a weighted combination of the two paths: y_proj = (1 − w) * y_fade + w * y_cont
The blend factor w is derived from the normalized ER domain and gamma shaping, producing a smooth morph between the anti-trend and continuation geometries.
Visualization
The teal projection line shows the dynamically blended continuation/anti-trend forecast for the next len bars.
The gray anchor line marks the reflection axis.
Each segment adapts in real time based on ER magnitude and recent path structure.
Key Parameters
Core: len, anchorPrice, lineThin — projection horizon and appearance
Lines: showProj, colProj — show or recolor projection
ER Domain: erMin, erMax, erSharp, erFloor, beta — control domain scaling, shaping, and time weighting
Practical Use
High ER values emphasize continuation (trend-following behavior).
Low or negative ER values emphasize fading or mean reversion.
The projection helps visualize whether recent structure supports trend persistence or weakening.
Interpretation
The ADAM Projection is not a predictive indicator but a geometric tool for studying market symmetry and efficiency. It provides a structured way to visualize how recent movements would look if extended forward under both continuation and anti-trend assumptions. This blends Sloman’s original reflection concept with modern ER-based adaptivity.
Summary
Origin: Jim Sloman (1983) — trend continuation via reflection symmetry.
Extension: Adds ER-driven blending to model both continuation and anti-trend regimes.
Concept: Price reflection vs. direct forward extension.
Purpose: Study of geometric price symmetry and efficiency, not a trade signal.
Round Numbers (Plotter) v2The *Round Numbers (Plotter) v2* indicator highlights key psychological price levels on the chart — the so-called *round numbers* (e.g. 1.1000 on EURUSD or23,000 on NASDAQ).
These levels often act as **natural support or resistance zones**, where price tends to react, consolidate, or reverse.
Version 2 introduces the concept of **gravitational zones**, which define a price range surrounding each round level — visualizing how price “gravitates” around these equilibrium areas.
---
### 🧩 **Main Features**
* 🔹 **Dynamic round levels:** plotted automatically based on user-defined *step size* (in points or pips).
* 🔹 **Custom step mode:** switch between “Points” (for indices, commodities, crypto) and “Pips” (for Forex pairs).
* 🔹 **Configurable appearance:** color, width, and line style (solid, dashed, dotted).
* 🔹 **Gravitation zones:** optional secondary lines plotted above and below each round level.
* Distance adjustable as a **percentage of the step size** (default = 25%).
* Help visualize “magnet areas” where price tends to slow down or oscillate before crossing a level.
* 🔹 **Optional fill:** softly shaded area between the upper and lower gravitation lines for clearer visualization of each zone.
* You can enable or disable this with the *“Show gravitation fill”* toggle.
* Fill color and transparency fully customizable.
---
### 📈 **Use Cases**
* Identify **psychological support/resistance** levels on any instrument or timeframe.
* Observe **market equilibrium zones** where price tends to cluster or hesitate before continuing.
* Combine with oscillators or volume indicators to confirm reaction strength near round numbers.
* Use the **gravitational zones** to refine stop-loss or take-profit placement near high-impact levels.
---
### 💡 **Notes**
* The indicator does **not repaint** and updates levels dynamically based on the latest price.
* Works on all asset classes: **Forex, Indices, Crypto, Commodities, Stocks.**
* Designed to be **lightweight** — no accumulation of historical objects.
* Combine this with *Round Number Analyzer* for complete analysis of round numbers level
ADX - Globx Options & Futures 2.0The ADX Globx Options & Futures is a custom-built trend strength indicator designed to replicate and enhance the classic Average Directional Index (ADX) model, commonly used in professional trading platforms such as IQ Option.
This version is optimized for options and futures trading, providing precise directional strength readings through adaptive smoothing and configurable parameters.
Concept and Logic
This indicator measures the strength of the current trend, regardless of its direction (bullish or bearish), by comparing directional movement between price highs and lows over a defined period.
It uses three main components:
+DI (Positive Directional Indicator): represents bullish strength.
–DI (Negative Directional Indicator): represents bearish strength.
ADX (Average Directional Index): measures the intensity of the prevailing trend, independent of direction.
The script follows the original logic proposed by J. Welles Wilder Jr., but introduces enhanced smoothing flexibility.
Users can choose between EMA (Exponential Moving Average) and Wilder’s RMA (Running Moving Average) for both DI and ADX calculations, allowing closer alignment with various platform implementations (IQ Option, MetaTrader, etc.).
How It Works
Directional Movement Calculation
The script computes upward and downward movements (+DM and –DM) by comparing the differences in highs and lows between consecutive candles.
Only positive directional changes that exceed the opposite side are considered.
This ensures each bar contributes only one valid directional movement.
True Range and Smoothing
The True Range (TR) is calculated using ta.tr(true) to include price gaps—replicating how professional derivatives platforms account for volatility jumps.
Both TR and DM values are smoothed using the selected averaging method (EMA or Wilder).
Directional Index and ADX
The smoothed +DI and –DI values are normalized over the True Range to form the Directional Index (DX), which measures the percentage difference between the two.
The ADX is then derived by smoothing the DX values, providing a stable reading of overall market strength.
Visual Representation
The ADX (white line) indicates the overall trend strength.
The +DI (dark blue) and –DI (dark red) lines show which side (bullish or bearish) is currently dominant.
Reference levels at 20 and 25 serve as strength thresholds:
Below 20 → Weak or sideways market.
Above 25 → Strong and directional trend.
Usage and Interpretation
When ADX rises above 25, the market shows a strong trend — use +DI > –DI for bullish confirmation, or the opposite for bearish momentum.
A falling ADX suggests decreasing trend strength and potential consolidation.
The default parameters (ADX Length = 34, DI Length = 34, both smoothed by EMA) match IQ Option’s internal ADX configuration, ensuring consistency between platforms.
Works on any timeframe or asset class, but is especially tuned for futures and options volatility dynamics.
Originality and Improvements
Unlike many open-source ADX indicators, this version:
Recreates IQ Option’s 34-length EMA-based ADX calculation with exact parameter alignment.
Provides selectable smoothing algorithms (EMA or Wilder) to switch between modern and classic formulations.
Uses dark-theme-optimized visuals with fine line weight and subtle contrast for clean visibility.
Maintains constant guide levels (20/25) rendered globally for precision and style compliance in Pine Script v6.
Is fully rewritten for Pine Script v6, ensuring compatibility and optimized execution.
Recommended Use
Combine with trend-following systems or breakout strategies.
Ideal for identifying market strength before engaging in options directionals or futures entries.
Use the ADX to confirm breakout momentum or filter sideways markets.
Disclaimer
This script is for educational and analytical purposes. It does not constitute financial advice or a trading signal. Users are encouraged to validate the indicator within their own trading strategies and risk frameworks.
Market Structure ICT Screener [TradingFinder] BoS ChoCh🔵 Introduction
Market Structure is the foundation of every Smart Money and ICT based trading model. It describes how price moves through a sequence of highs and lows, forming clear phases of expansion, retracement and reversal. Understanding this structure allows traders to read institutional order flow and align their positions with the true direction of liquidity.
Two of the most critical components in Market Structure are the Break of Structure (BOS) and Change of Character (CHOCH). A BOS represents trend continuation, confirming strength within the current direction. In contrast, CHOCH also known as a Market Structure Shift (MSS) signals the first sign of a trend reversal or liquidity shift where order flow begins to change from bullish to bearish or vice versa.
Because the market is fractal, structure can exist at multiple levels known as Major (External) and Minor (Internal). Major structure defines the overall trend on higher timeframes while minor or internal structure reveals short term swings and early reversals within that larger move.
🔵 How to Use
Understanding Market Structure starts with identifying how price interacts with previous swing highs and swing lows. Every trend in the market, whether bullish or bearish, is built from a sequence of impulsive and corrective moves. Impulsive legs show strong displacement in the direction of liquidity flow, while corrective legs represent temporary pullbacks as the market rebalances before the next expansion. Recognizing these sequences is essential for reading the story of price and anticipating what may happen next.
A Break of Structure (BOS) occurs when price decisively moves beyond a previous structural point by breaking above the last high in an uptrend or falling below the last low in a downtrend. This event confirms that the current trend remains intact and that liquidity has been successfully taken from one side of the market. A BOS acts as confirmation of continuation and reflects strength within the existing directional bias.
A Change of Character (CHOCH) appears when price violates structure in the opposite direction of the prevailing trend. This is the first signal that market sentiment and order flow may be shifting. For example, during a downtrend if price breaks above a previous high, it indicates that sellers are losing control and a potential bullish reversal may be developing. In an uptrend, when price drops below a recent low, it suggests a possible bearish transition.
Because the market is fractal, structure exists across multiple layers. Major structure reflects the dominant movement visible on higher timeframes and defines the broader directional bias. Minor or internal structure represents smaller swings within that move and helps identify early transitions before they appear on the higher timeframe. When internal and external structures align, they offer a high probability signal for trend continuation or reversal.
By observing BOS and CHOCH across both internal and external structures, traders can clearly visualize when the market is expanding, contracting or preparing to shift direction. This structured understanding of price movement forms the foundation for precise trend analysis and high quality decision making in any Smart Money or ICT based trading approach.
🔵 Settings
🟣 Display Settings
Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference.
Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth.
Table Mode : This setting offers two layout styles for the signal table :
Basic : Mode displays symbols in a single column, using more vertical space.
Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view.
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 20 symbol slots comes with a full set of customizable parameters :
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
Pivot Period : Set the length used to detect swing highs and lows. Shorter values increase sensitivity, longer ones focus on major structures.
🔵 Conclusion
Mastering Market Structure and understanding the relationship between BOS and CHOCH allows traders to see the market with greater clarity and confidence. These two elements reveal how liquidity moves through different phases of expansion and retracement and how institutional order flow shifts between accumulation and distribution.
By analyzing both internal and external structures, traders can align short term and long term perspectives and anticipate where price is most likely to react. The ability to read these structural shifts helps identify continuation points, reversals and areas where liquidity is engineered or collected.
Incorporating Market Structure into a consistent trading process transforms the way a trader views the chart. Instead of reacting to random movements, each swing, break and shift becomes part of a logical framework that reflects the true behavior of the market. Understanding BOS and CHOCH is not just a concept but a complete language of price that guides every professional decision in Smart Money and ICT based trading.
Camarilla Pivots + 20 EMA StrategyThis is an intraday volatility and trend-following system for commodities like Natural Gas, combining dynamic pivot levels (Camarilla) with a trend filter (20-period EMA) to improve risk-reward and reduce false breakouts.
Core Components
1. Camarilla Pivots:
These are special support and resistance levels (H3, H4, L3, L4) calculated each day based on the previous day's high, low, and close.
The pivots adapt to daily volatility, giving more relevant breakout and bounce zones than static lines.
H4: Aggressive resistance (used for breakout LONG entry)
H3: Moderate resistance/support (used for bounce or stoploss)
L4: Aggressive support (used for breakout SHORT entry)
L3: Moderate support/resistance (used for bounce or stoploss)
2. 20 EMA (Exponential Moving Average):
Plotted on the 30-minute chart, this acts as a trend filter.
If the price is above 20 EMA: Only look for long trades (bullish bias).
If below 20 EMA: Only look for short trades (bearish bias).
How the Strategy Works
Setup (30-Min Chart):
Camarilla pivots for the day are drawn on the chart.
20 EMA is also plotted.
Trade Filter:
Bullish: Trade ONLY if price is above 20 EMA.
Bearish: Trade ONLY if price is below 20 EMA.
Entry:
LONG: Enter when price breaks and closes above the H4 pivot AND is above 20 EMA.
SHORT: Enter when price breaks and closes below the L4 pivot AND is below 20 EMA.
Stop Loss:
LONG: Place stoploss at H3 (the next lower Camarilla resistance).
SHORT: Place stoploss at L3 (the next higher Camarilla support).
Target:
Always set a profit target at 2x the distance (risk) between entry and stoploss (strict R:R 2).
For example, if your entry is at H4 and stoploss at H3, your target is entry + 2*(entry - stoploss).
Alerts & Visuals:
The strategy plots entry arrows, stoploss and target lines for immediate visual reference.
Alerts trigger on breakout signals so you never miss a trade.
Why This Works Well for Natural Gas
Adapts to volatility: The pivots change daily, handling wide-ranging and choppy price moves better than fixed breakouts.
Trend filter: EMA prevents counter-trend whipsaws, only trades with market momentum.
Risk control: Every trade must meet strict risk-reward criteria, so losses are contained and winners can outweigh losers.
Market Structure Report Library [TradingFinder]🔵 Introduction
Market Structure is one of the most fundamental concepts in Price Action and Smart Money theory. In simple terms, it represents how price moves between highs and lows and reveals which phase of the market cycle we are currently in uptrend, downtrend, or transition.
Each structure in the market is formed by a combination of Breaks of Structure (BoS) and Changes of Character (CHoCH) :
BoS occurs when the market breaks a previous high or low, confirming the continuation of the current trend.
CHoCH occurs when price breaks in the opposite direction for the first time, signaling a potential trend reversal.
Since price movement is inherently fractal, market structure can be analyzed on two distinct levels :
Major / External Structure: represents the dominant macro trend.
Minor / Internal Structure: represents corrective or smaller-scale movements within the larger trend.
🔵 Library Purpose
The “Market Structure Report Library” is designed to automatically detect the current market structure type in real time.
Without drawing or displaying any visuals, it analyzes raw price data and returns a series of logical and textual outputs (Return Values) that describe the current structural state of the market.
It provides the following information :
Trend Type :
External Trend (Major): Up Trend, Down Trend, No Trend
Internal Trend (Minor): Up Trend, Down Trend, No Trend
Structure Type :
BoS : Confirms trend continuation
CHoCH : Indicates a potential trend reversal
Consecutive BoS Counter : Measures trend strength on both Major and Minor levels.
Candle Type : Returns the current candle’s condition(Bullish, Bearish, Doji)
This library is specifically designed for use in Smart Money–based screeners, indicators, and algorithmic strategies.
It can analyze multiple symbols and timeframes simultaneously and return the exact structure type (BoS or CHoCH) and trend direction for each.
🔵 Function Outputs
The function MS() processes the price data and returns seven key outputs,
each representing a distinct structural state of the market. These values can be used in indicators, strategies, or multi-symbol screeners.
🟣 ExternalTrend
Type : string
Description : Represents the direction of the Major (External) market structure.
Possible values :
Up Trend
Down Trend
No Trend
This is determined based on the behavior of Major Pivots (swing highs/lows).
🟣 InternalTrend
Type : string
Description : Represents the direction of the Minor (Internal) market structure.
Possible values :
Up Trend
Down Trend
No Trend
🟣 M_State
Type : string
Description : Specifies the type of the latest Major Structure event.
Possible values :
BoS
CHoCH
🟣 m_State
Type : string
Description : Specifies the type of the latest Minor Structure event.
Possible values :
BoS
CHoCH
🟣 MBoS_Counter
Type : integer
Description : Counts the number of consecutive structural breaks (BoS) in the Major structure.
Useful for evaluating trend strength :
Increasing count: indicates trend continuation.
Reset to zero: typically occurs after a CHoCH.
🟣 mBoS_Counter
Type : integer
Description : Counts the number of consecutive structural breaks in the Minor structure.
Helps analyze the micro structure of the market on lower timeframes.
Higher value : strong internal trend.
Reset : indicates a minor pullback or reversal.
🟣 Candle_Type
Type : string
Description : Represents the type of the current candle.
Possible values :
Bullish
Bearish
Doji
import TFlab/Market_Structure_Report_Library_TradingFinder/1 as MSS
PP = input.int (5 , 'Market Structure Pivot Period' , group = 'Symbol 1' )
= MSS.MS(PP)
Risk Recommender — (Heatmap)📊 Risk Recommender — Per-Trade & Annualized (Heatmap Columns)
Estimate the optimal risk percentage for any market regime.
This tool dynamically recommends how much of your account equity to risk — either per trade or at a portfolio (annualized) level — using volatility as the guide.
⚙️ How it works
Two distinct modes give you flexibility:
1️⃣ Per-Trade (ATR-based)
• Calculates the current Average True Range (ATR) compared to its long-term baseline.
• When volatility is high (ATR ↑), risk per trade decreases to maintain constant dollar risk.
• When volatility is low (ATR ↓), risk per trade increases within your defined floor and ceiling.
• The display is normalized by stop distance (× ATR) and smoothed to avoid noise.
2️⃣ Annualized (Volatility Targeting)
• Computes realized volatility (standard deviation of log returns) and an EWMA forecast of future volatility.
• Blends current and forecast volatilities to estimate “effective” volatility.
• Scales your base risk so that portfolio volatility converges toward your chosen annual target (e.g., 20%).
• Useful for portfolio-level or systematic strategies that maintain constant volatility exposure.
🎨 Heatmap Visualization
The vertical column graph acts like a thermometer:
• 🟥 Red → “Reduce risk” (volatility high).
• 🟩 Green → “Increase risk” (volatility low).
• Smoothed and bounded between your Floor and Ceiling risk levels.
• Optional dotted guides mark those bounds.
• Label shows the current mode, recommended risk %, and key metrics (ATR ratio or effective volatility).
🔧 Key Inputs
• Base max risk per trade (%) — your normal per-trade risk budget.
• ATR length / Baseline ATR length — control sensitivity to short- vs. long-term volatility.
• Target annualized volatility (%) — portfolio volatility target for quant mode.
• λ (lambda) — smoothing factor for the EWMA volatility forecast (0.90–0.99 typical).
• Floor & Ceiling — clamps the output to avoid extreme sizing.
• Smoothing & Hysteresis — prevent rapid changes in risk recommendations.
🧮 Interpreting the Output
• “Recommended Risk (%)” = suggested portion of equity to risk on the next trade (or current exposure).
• In Per-Trade mode: reflects current ATR ÷ baseline ATR .
• In Annualized mode: reflects target volatility ÷ effective volatility .
• Use the color and height of the column as a quick visual cue for aggressiveness.
💡 Typical Use Cases
• Position-sizing overlay for discretionary traders.
• Volatility-targeting component for algorithmic or multi-asset systems.
• Educational tool to understand how volatility governs prudent risk management.
📘 Notes
• This indicator provides risk suggestions only ; it does not place trades.
• Works on any symbol or timeframe.
• Combine with your own strategy or alerts for full automation.
• All calculations use built-in Pine functions; no proprietary logic.
Tags:
#RiskManagement #ATR #Volatility #Quant #PositionSizing #SystematicTrading #AlgorithmicTrading #Portfolio #TradingStrategy #Heatmap #EWMA #Risk
