VWMA MACD Amanita Buy/Sell Signals VWMA MACD Amanita Buy/Sell Signals – Volume-Weighted Momentum Indicator
A twist on the classic MACD: this indicator uses Volume Weighted Moving Averages (VWMA) instead of EMAs, giving more weight to price moves backed by higher volume.
Features:
VWMA-based MACD line & signal line
Histogram highlights bullish/bearish momentum
Color-coded for easy visualization
Quick Guide:
MACD above Signal → bullish
MACD below Signal → bearish
Rising histogram → strengthening trend
Falling histogram → weakening trend
Perfect for traders who want momentum confirmed by volume.
成交量
Signalgo Strategy ISignalgo Strategy I: Technical Overview
Signalgo Strategy I is a systematically engineered TradingView strategy script designed to automate, test, and manage trend-following trades using multi-timeframe price/volume logic, volatility-based targets, and multi-layered exit management. This summary covers its operational structure, user inputs, entry and exit methodology, unique technical features, and practical application.
Core Logic and Workflow
Multi-Timeframe Data Synthesis
User-Defined Timeframe: The user chooses a timeframe (e.g., 1H, 4H, 1D, etc.), on which all strategy signals are based.
Cross-Timeframe Inputs: The strategy imports closing price, volume, and Average True Range (ATR) for the selected interval, independently from the chart’s native timeframe, enabling robust multi-timeframe analysis.
Price Change & Volume Ratio: It calculates the percent change of price per bar and computes a volume ratio by comparing current volume to its 20-bar moving average—enabling detection of true “event” moves vs. normal market noise.
Hype Filtering
Anti-Hype Mechanism: An entry is automatically filtered out if abnormal high volume occurs without corresponding price movement, commonly observed during manipulation or announcement periods. This helps isolate genuine market-driven momentum.
User Inputs
Select Timeframe: Choose which interval drives signal generation.
Backtest Start Date: Specify from which date historical signals are included in the strategy (for precise backtests).
Take-Profit/Stop-Loss Configuration: Internally, risk levels are set as multiples of ATR and allow for three discrete profit targets.
Entry Logic
Trade Signal Criteria:
Price change magnitude in the current bar must exceed a fixed sensitivity threshold.
Volume for the bar must be significantly elevated compared to average, indicating meaningful participation.
Anti-hype check must not be triggered.
Bullish/Bearish Determination: If all conditions are met and price change direction is positive, a long signal triggers. If negative, a short signal triggers.
Signal Debouncing: Ensures a signal triggers only when a new condition emerges, avoiding duplicate entries on flat or choppy bars.
State Management: The script tracks whether an active long or short is open to avoid overlapping entries and to facilitate clean reversals.
Exit Strategy
Take-Profits: Three distinct profit targets (TP1, TP2, TP3) are calculated as fixed multiples of the ATR-based stop loss, adapting dynamically to volatility.
Reversals: If a buy signal appears while a short is open (or vice versa), the existing trade is closed and reversed in a single step.
Time-Based Exit: If, 49 bars after entry, the trade is in-profit but hasn’t reached TP1, it exits to avoid stagnation risk.
Adverse Move Exit: The position is force-closed if it suffers a 10% reversal from entry, acting as a catastrophic stop.
Visual Feedback: Each TP/SL/exit is plotted as a clear, color-coded line on the chart; no hidden logic is used.
Alerts: Built-in TradingView alert conditions allow automated notification for both entries and strategic exits.
Distinguishing Features vs. Traditional MA Strategies
Event-Based, Not Just Slope-Based: While classic moving average strategies enter trades on MA crossovers or slope changes, Signalgo Strategy I demands high-magnitude price and volume confirmation on the chosen timeframe.
Volume Filtering: Very few MA strategies independently filter for meaningful volume spikes.
Real Market Event Focus: The anti-hype filter differentiates organic market trends from manipulated “high-volume, no-move” sessions.
Three-Layer Exit Logic: Instead of a single trailing stop or fixed RR, this script manages three profit targets, time-based closures, and hard adverse thresholds.
Multi-Timeframe, Not Chart-Dependent: The “main” analytical interval can be set independently from the current chart, allowing for in-depth cross-timeframe backtests and system runs.
Reversal Handling: Automatic handling of signal reversals closes and flips positions precisely, reducing slippage and manual error.
Persistent State Tracking: Maintains variables tracking entry price, trade status, and target/stop levels independently of chart context.
Trading Application
Strategy Sandbox: Designed for robust backtesting, allowing users to simulate performance across historical data for any major asset or interval.
Active Risk Management: Trades are consistently managed for both fixed interval “stall” and significant loss, not just via trailing stops or fixed-day closes.
Alert Driven: Can power algorithmic trading bots or notify discretionary traders the moment a qualifying market event occurs.
VWMA MACD AmanitaVWMA MACD (Volume-Weighted MACD)
This indicator modifies the standard MACD by replacing EMAs with VWMAs
(Volume-Weighted Moving Averages).
- Fast VWMA (default 12 bars)
- Slow VWMA (default 26 bars)
- MACD Line = Fast VWMA - Slow VWMA
- Signal Line = EMA of MACD (default 9 bars)
- Histogram = MACD - Signal
Compared to the standard MACD, this version emphasizes price moves that
are backed by higher trading volume, helping to filter out weak signals.
The script also lets you choose the price source (Close, HL2, HLC3, OHLC4).
OHLC Horizontal Compact + Volume + Buy/SellA compact, single-row horizontal table for TradingView displaying Open, High, Low, Close (OHLC), net change, percentage change, volume, and buy/sell pressure percentages. The table is fully color-coded for easy interpretation: green for positive values, red for negative, and yellow for neutral. Table position is fully customizable (top, middle, bottom / left, center, right). Ideal for traders who want a concise, real-time snapshot of price action and market sentiment in a single row.
Features:
OHLC values in one horizontal row
Net change (Δ) and % change with directional arrows
Real-time volume display
Buy/Sell pressure % with dynamic coloring
Fully customizable table placement
Works on all timeframes
VPOC Harmonics - Liquidity-Weighted Price / Time RatiosVPOC Harmonics - Liquidity-Weighted Price / Time Ratios
Summary
This indicator transforms a swing’s price range, duration, and liquidity profile into a structured set of price-per-bar ratios. By anchoring two points and manually entering the swing’s VPOC (highest-volume price), it generates candidate compression values that unify price, time, and liquidity structure. These values can be applied to chart scaling, harmonic testing, and liquidity-aware market geometry.
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Overview
Most swing analysis tools only consider price (ΔP) and time (N bars). This script goes further by incorporating the VPOC (Point of Control) — the price with the highest traded volume — directly into swing geometry.
• Anchors define the swing’s Low (L), High (H), and bar count (N).
• The user manually enters the VPOC (highest-volume price).
• The indicator then computes a suite of ratios that integrate range, duration, and liquidity placement.
The output is a table of liquidity-weighted price-per-bar candidates, designed for compression testing and harmonic analysis across swings and instruments.
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How to Use
1. Select a Swing
- Place Anchor A and Anchor B to define the swing’s Low, High, and bar count.
2. Find the VPOC
- Apply TradingView’s Fixed Range Volume Profile tool over the same swing.
- Identify the Point of Control (POC) — the price level with the highest traded volume.
3. Enter the VPOC
- Manually input the POC into the indicator settings.
4. Review Outputs
- The table will display candidate ratios expressed mainly as price-per-bar values.
5. Apply in Practice
- Use the ratios as chart compression inputs or as benchmarks for testing harmonic alignments across swings.
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Outputs
Swing & Inputs
• Bars (N): total bar count of the swing.
• Low (L): swing low price.
• High (H): swing high price.
• ΔP = H − L: price range.
• Mid = (L + H) ÷ 2: midpoint price.
• VPOC (V): user-entered highest-volume price.
• Base slope s0 = ΔP ÷ N: average change per bar.
• π-adjusted slope sπ = (π × ΔP) ÷ (2 × N): slope adjusted for half-cycle arc geometry.
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VPOC Harmony Ratios (L, H, V, N)
• λ = (V − L) ÷ ΔP: normalized VPOC position within the range.
• R = (V − L) ÷ (H − V): symmetry ratio comparing lower vs. upper segment.
• s1 = (V − L) ÷ N: slope from Low → VPOC.
• s2 = (H − V) ÷ N: slope from VPOC → High.
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Blended Means (s1, s2)
These combine the two segment slopes in different ways:
• HM(s1,s2) = 2 ÷ (1/s1 + 1/s2): Harmonic mean, emphasizes the smaller slope.
• GM(s1,s2) = sqrt(s1 × s2): Geometric mean, balances both slopes proportionally.
• RMS(s1,s2) = sqrt((s1² + s2²) ÷ 2): Root-mean-square, emphasizes the larger slope.
• L2 = sqrt(s1² + s2²): Euclidean norm, the vector length of both slopes combined.
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Slope Blends
• Quadratic weighting: s_quad = s0 × ((V−L)² + (H−V)²) ÷ (ΔP²)
• Tilted slope: s_tilt = s0 × (0.5 + λ)
• Entropy-scaled slope: s_ent = s0 × H2(λ), with H2(λ) = −
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Curvature & Liquidity Extensions
• π-arc × λ: s_arc = sπ × λ
• Liquidity-π: s_piV = sπ × (V ÷ Mid)
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Scale-Normalized Families
With k = sqrt(H ÷ L):
• k (scale factor) = sqrt(H ÷ L)
• s_comp = s0 ÷ k: compressed slope candidate
• s_exp = s0 × k: expanded slope candidate
• Exponentiated blends:
- s_kλ = s0 × k^(2λ−1)
- s_φλ = s0 × φ^(2λ−1), with φ = golden ratio ≈ 1.618
- s_√2λ = s0 × (√2)^(2λ−1)
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Practical Application
All formulas generate liquidity-weighted price-per-bar ratios that integrate range, time, and VPOC placement.
These values are designed for:
• Chart compression settings
• Testing harmonic alignments across swings
• Liquidity-aware scaling experiments
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Frozen 4H VWAP – Precision AnchoredFrozen 4H VWAP – Precision Anchored Like Ice
The Frozen 4H VWAP – Precision Anchored delivers a clean, stable, and reliable view of the 4-hour Volume Weighted Average Price, designed for traders who want higher timeframe insights without intrabar noise or repainting.
🔹 Key Features:
Non-Repainting: VWAP value is “frozen” at the close of each 4H candle — no mid-bar updates or flickering.
4H Timeframe Anchoring: Seamlessly pulls 4-hour VWAP values into any timeframe you’re trading on.
Clear Trend Reference: Updates only when a new 4H candle begins, acting as a trustworthy anchor for support/resistance.
Custom Source Option: Choose from different price sources (default: HLC3) to fit your strategy.
Whether you're scalping, day trading, or swing trading, this indicator gives you a powerful edge by grounding your decisions in higher timeframe VWAP data — clear, calm, and frozen in time.
Auto Orderblock Generator Pro Version 3.1 IndicatorThis indicator automatically generates order blocks on any time frame so you can analyze charts with precision and know where high areas of liquidity lie in real time.
MATEOANUBISANTIDear traders, investors, and market enthusiasts,
We are excited to share our High-Low Indicator Range for on . This report aims to provide a clear and precise overview of the highest and lowest values recorded by during this specific hour, equipping our community with a valuable tool for making informed and strategic market decisions.
Previous High/Low Range (D,W,M,Q)Previous High/Low Range (D, W, M, Q)
This indicator displays the previous period’s high, low, and midpoint levels across multiple timeframes: Daily, Weekly, Monthly, and Quarterly. It extends these key price levels into the future, allowing traders to quickly identify important support and resistance zones based on historical price action.
Features:
Shows previous Daily, Weekly, Monthly, and Quarterly highs, lows, and midpoints.
Optionally extends these levels forward for easy visualization.
Configurable colors and visibility for each timeframe.
Includes optional midpoint lines at 50% between high and low to identify equilibrium points.
Supports logarithmic scale calculations for midpoints to maintain accuracy on log charts.
Optional labels that display exact price values for each level.
Designed to help traders recognize key levels for entries, exits, and risk management.
Use this indicator to gain a multi-timeframe perspective on significant price ranges and anticipate potential reversal or breakout zones.
BA Context (HTF, Sessions, Levels, ADR) – v6BA Context is a combination of various indicators, designed primarily for higher timeframes to support context analysis.
Svl - Trading SystemPrice can tell lies but volume cannot, so keeping this in mind I have created this indicator in which you see sell order block and buy order block on the basis of price action + volume through which we execute our trade
First of all, let us know its core concepts and logic, which will help you in taking the right decisions in it.
core concept of the " Svl - Trading System " TradingView indicator is based on professional price action, volume, and swing structure. This indicator smartly gives real-time insights of important price turning points, reversal zones, and trend continuation. Its deep explanation is given below.
Edit - default swing length -5 , change according your nature , tested With 7 For 5 minute timeframe
Core Concept:
1. Swing Structure Detection
The indicator automatically detects swing highs (HH/LH) and swing lows (HL/LL) on the chart.
HH: Higher High
HL: Higher Low
LH: Lower High
LL: Lower Low
These swings are the backbone of price action – signaling a change in trend, a bounce, reversal or trend continuation.
2. Order Block (OB) Mapping
Buy Order Block (Buy OB): When the indicator detects the HL/LL swing, we declare Buy OB, the lowest point of the swing.
Sell Order Block (Sell OB): On HH/LH swing, the highest point of our swing is called Sell OB.
Order Blocks are those important zones of price where historically price has reacted strongly – where major clusters of buyers/sellers are located in the market.
3. Volume Analysis (Optional Dashboard/Barcolor)
The candle color depends on the volume ranking on the chart (most high/low, normal, pressure blue shade).
Highest/lowest volume candles are a special highlight, which helps to spot liquidity spikes, exhaustion, or big orders.
4. Live Dashboard
There is an automated dashboard in the top-right of the chart, which shows this in real-time:
Last swing type (HH/HL/LH/LL)
Reversal price (last swing level)
Swing direction (Bull/Bear/Neutral)
Volume, Buy OB, Sell OB, etc.
This helps the trader understand the market situation at a glance.
5. Smart Plotting/Labels
Buy/Sell are plotted as distinct lines on the OB chart.
The Labels option gives clear visual swing points.
All calculations are fast and automated – the user does not need to mark manually.
This indicator is an advanced, fully-automated price action tool that combines
trend, reversal, volume, liquidity and zone detection in one smart system,
makes entry/exit decisions objective and error-free,
and provides complete trading confidence with a live monitor/dashboard.
All of its functions/properties such as: swing detect, OB plot, volume color, dashboard follow best practice for professional chart analysis!
ATR Dashboard (Pane Only)🔧 Core Logic
ATR Source: Multi-timeframe ATR (default 1H while trading 5m/15m).
Threshold Rule:
TREND = ATR > (ATR_SMA × k)
NORMAL = otherwise
Sessions: Only evaluates during London (02:00–07:00 ET) and New York (07:00–11:30 ET) by default.
Smoothing: ATR compared against its SMA (default 10-period).
k Multiplier: Controls sensitivity (default 1.20).
🖥️ Visuals
✅ TREND: Green label (or green background if enabled).
⚪ NORMAL: Gray label.
⏸️ OUT OF SESSION: Dim label, so you don’t force trades off-hours.
📊 Optional panel shows ATR, ATR_SMA, and Threshold values in real time.
📊 Dashboard + Overlay Combo
Use this overlay on your chart TF for tactical entries.
Pair with an ATR Dashboard (pane) on a higher TF (like 1H) for the strategic backdrop.
Overlay TREND + Dashboard TREND → High conviction trending environment.
Overlay TREND but Dashboard NORMAL → Fragile breakout, trade smaller or pass.
Both NORMAL → Chop/range → stick to 1:1.4 BE rules.
⚖️ Trading Playbook Integration
NORMAL Mode (ATR below threshold)
50% partial at 1R.
BE @ 1:1.4.
Runner capped at 2R.
TREND Mode (ATR above threshold)
50% partial at 1R.
BE @ 1:1.6.
Remainder trails ATR ×1.5.
Reserve ~15% of trend trades as no-partials for fat-tail home runs (4R–6R+).
🔔 Alerts
ATR Trend ON (in session) → “ATR > Threshold → Switch to TREND BE (1:1.6).”
ATR Trend OFF (in session) → “ATR ≤ Threshold → Switch to NORMAL BE (1:1.4).”
Perfect for getting pinged the moment volatility regime flips.
📌 Tips
k = 1.20 → balanced (default).
k = 1.10–1.15 → more TREND calls (sensitive).
k = 1.30+ → only strongest trends count.
Run it with overlay ON chart TF for execution, and dashboard on HTF for context.
Best used during active London/NY sessions.
✅ This isn’t a signal generator. It’s a regime filter + risk manager.
It keeps you from chasing chop and helps you mechanically switch BE rules without hesitation.
⚡ Pro tip: Combine with a Trend Continuation HUD, Elliott Wave Convergence overlay, or a Bollinger+RSI/MFI reversal scanner for a full tactical playbook.
ATR Trend Switch (ATR > k*ATR_SMA) - Overlay + Session Windows🔧 Core Logic
ATR Source: Multi-timeframe ATR (default 1H while trading 5m/15m).
Threshold Rule:
TREND = ATR > (ATR_SMA × k)
NORMAL = otherwise
Sessions: Only evaluates during London (02:00–07:00 ET) and New York (07:00–11:30 ET) by default.
Smoothing: ATR compared against its SMA (default 10-period).
k Multiplier: Controls sensitivity (default 1.20).
🖥️ Visuals
✅ TREND: Green label (or green background if enabled).
⚪ NORMAL: Gray label.
⏸️ OUT OF SESSION: Dim label, so you don’t force trades off-hours.
📊 Optional panel shows ATR, ATR_SMA, and Threshold values in real time.
📊 Dashboard + Overlay Combo
Use this overlay on your chart TF for tactical entries.
Pair with an ATR Dashboard (pane) on a higher TF (like 1H) for the strategic backdrop.
Overlay TREND + Dashboard TREND → High conviction trending environment.
Overlay TREND but Dashboard NORMAL → Fragile breakout, trade smaller or pass.
Both NORMAL → Chop/range → stick to 1:1.4 BE rules.
⚖️ Trading Playbook Integration
NORMAL Mode (ATR below threshold)
50% partial at 1R.
BE @ 1:1.4.
Runner capped at 2R.
TREND Mode (ATR above threshold)
50% partial at 1R.
BE @ 1:1.6.
Remainder trails ATR ×1.5.
Reserve ~15% of trend trades as no-partials for fat-tail home runs (4R–6R+).
🔔 Alerts
ATR Trend ON (in session) → “ATR > Threshold → Switch to TREND BE (1:1.6).”
ATR Trend OFF (in session) → “ATR ≤ Threshold → Switch to NORMAL BE (1:1.4).”
Perfect for getting pinged the moment volatility regime flips.
📌 Tips
k = 1.20 → balanced (default).
k = 1.10–1.15 → more TREND calls (sensitive).
k = 1.30+ → only strongest trends count.
Run it with overlay ON chart TF for execution, and dashboard on HTF for context.
Best used during active London/NY sessions.
✅ This isn’t a signal generator. It’s a regime filter + risk manager.
It keeps you from chasing chop and helps you mechanically switch BE rules without hesitation.
⚡ Pro tip: Combine with a Trend Continuation HUD, Elliott Wave Convergence overlay, or a Bollinger+RSI/MFI reversal scanner for a full tactical playbook.
Institutional Interest DisplayIndicator Overview:
This dashboard helps evaluate stocks quickly based on Market Cap, 52-week positioning, and liquidity metrics. It combines price strength with volume demand signals for breakout or institutional interest.
Logic Implemented:
1. Market Cap Classification:
- Market Cap = close × shares_outstanding (built-in value if available)
- Large-cap: ≥ ₹20,000 Cr
- Mid-cap: ₹5,000 – 20,000 Cr
- Small-cap: < ₹5,000 Cr
2. 52-Week Range (% from High/Low):
- 52W High = ta.highest(high, 252)
- 52W Low = ta.lowest(low, 252)
- % from 52W High = (Close ÷ 52W High – 1) × 100
- % from 52W Low = (Close ÷ 52W Low – 1) × 100
- CANSLIM logic → Prefer stocks near highs, avoid near lows
3. Average Daily Volume (ADV):
- ADV = ta.sma(volume, 50)
- Chosen 50D (more reliable than 20/30D, smooths anomalies)
4. Breakout Volume Confirmation:
- Volume Signal = Current Volume ÷ ADV
- Breakout Threshold = >1.5 × ADV
- Helps detect demand-driven price breakouts
5. % Change in Volume vs ADV:
- %Chg = ((Current Vol ÷ ADV) – 1) × 100
- Indicates abnormal activity vs typical trading
6. Up/Down Volume Ratio (U/D Ratio):
- Defined as: (Sum of volume on up days ÷ Sum of volume on down days)
- 50-day window
- U/D > 1 = net buying pressure
- U/D > 1.2 = stronger institutional demand
7. Up Days with Volume ≥ 1.5 × ADV:
- Counts number of up days (Close > Previous Close) in last 50 days where Volume ≥ 1.5 × ADV
8. Average Turnover:
- AvgTurnover = Avg Volume × Price
- Thresholds:
- Large-cap ≥ 1000M
- Mid-cap ≥ 200M
- Small-cap ≥ 50M
Table Layout:
- 4 Columns:
- Col 1 → Category, Market Cap, % from 52W Low, % from 52W High
- Col 2 → Values for above
- Col 3 → Avg Volume, Vol Today, %Chg Vol, U/D Ratio
- Col 4 → Values for above + Up Days >1.5 × ADV, Avg Turnover
Color Coding:
- Value cells have distinct background colors
- Labels = black text, grey background
- Green highlights signify thresholds met
Script_Algo - ORB Strategy with Filters🔍 Core Concept: This strategy combines three powerful technical analysis tools: Range Breakout, the SuperTrend indicator, and a volume filter. Additionally, it features precise customization of the number of candles used to construct the breakout range, enabling optimized performance for specific assets.
🎯 How It Works:
The strategy defines a trading range at the beginning of the trading session based on a selected number of candles.
It waits for a breakout above the upper or below the lower boundary of this range, requiring a candle close.
It filters signals using the SuperTrend indicator for trend confirmation.
It utilizes trading volume to filter out false breakouts.
⚡ Strategy Features
📈 Entry Points:
Long: Candle close above the upper range boundary + SuperTrend confirmation
Short: Candle close below the lower range boundary + SuperTrend confirmation
🛡️ Risk Management:
Stop-Loss: Set at the opposite range boundary.
Take-Profit: Calculated based on a risk/reward ratio (3:1 by default).
Position Size: 10 contracts (configurable).
⚠️ IMPORTANT SETTINGS
🕐 Time Parameters:
Set the correct time and time zone!
❕ATTENTION: The strategy works ONLY with correct time settings! Set the time corresponding to your location and trading session.
📊 This strategy is optimized for trading TESLA stock!
Parameters are tailored to TESLA's volatility, and trading volumes are adequate for signal filtering. Trading time corresponds to the American session.
📈 If you look at the backtesting results, you can see that the strategy could potentially have generated about 70 percent profit on Tesla stock over six months on 5m timeframe. However, this does not guarantee that results will be repeated in the future; remain vigilant.
⚠️ For other assets, the following is required:
Testing and parameter optimization
Adjustment of time intervals and the number of candles forming the range
Calibration of stop-loss and take-profit levels
⚠️ Limitations and Drawbacks
🔗 Automation Constraints:
❌ Cannot be directly connected via Webhook to CFD brokers!
Additional IT solutions are required for automation, thus only manual trading based on signals is possible.
📉 Risk Management:
Do not risk more than 2-3% of your account per trade.
Test on historical data before live use.
Start with a demo account.
💪 Strategy Advantages
✅ Combined approach – multiple signal filters
✅ Clear entry and exit rules
✅ Visual signals on the chart
✅ Volume-based false breakout filtering
✅ Automatic position management
🎯 Usage Recommendations
Always test the strategy on historical data.
Start with small trading volumes.
Ensure time settings are correct.
Adapt parameters to current market volatility.
Use only for stocks – futures and Forex require adaptation.
📚 Suitable Timeframes - M1-M15
Only highly liquid stocks
🍀 I wish all subscribers good luck in trading and steady profits!
📈 May your charts move in the right direction!
⚠️ Remember: Trading involves risk. Do not invest money you cannot afford to lose!
Trend Continuation — Compact HUD Pane 🖥️ Trend Continuation HUD Panel — Multi-Factor Dashboard
This panel is your trend continuation command center ⚡. Instead of guessing which filters are in play, the HUD shows you a real-time checklist of up to 6 confluence filters — with clear ✔ and ✖ signals.
🔍 What it shows
Each row = one filter. Green ✔ means it’s passing in the trend direction, red ✖ means it’s failing, grey ✖ means neutral/inactive.
✔ Ichimoku (9/26/52/26) → Above/Below cloud + Tenkan/Kijun order
✔ MACD (12/26/9) → Histogram slope & zero-line alignment
✔ RSI / MFI (14) → Momentum ≥60 bull / ≤40 bear
✔ ADX (14) → Strength ≥20 and rising
✔ EMA Alignment (9/21/55/233) (optional) → Stack order confirms trend engine
✔ ATR Slope (14) (optional) → Expanding volatility filter
📊 Score Line (0–6 scale)
At the bottom of the HUD you’ll see a colored score plot:
🟢 5–6 = A-Grade Trend Environment → strongest continuation regimes
🟡 3–4 = Mixed Bag → wait for clarity
🔴 0–2 = Fail Zone → stay flat, no trend support
🎯 How to use it
Scan the HUD first → wait until Score ≥5 and most rows are ✔ green.
Then check Overlay labels/arrows → only take signals while HUD is green (trend environment confirmed).
Adjust strictness with minChecks:
• Normal Days → Score ≥4 acceptable (partial TP style).
• Trend Days → Demand Score ≥5 (stacked, high-conviction runs).
🧩 Best Practices
⏰ Focus on London & NY sessions (HUD grays out off-hours).
🔄 Keep the HUD & Overlay in sync (same EMA/ATR/session settings).
⚡ Use the HUD as your filter, Overlay as your trigger → keeps you aligned with your trading plan and risk model.
Parabolic CCI Pro — Long & Short + ATR Risk — [AlphaFinansData]English Description (Enhanced)
🔹 CCI + Parabolic SAR Strategy (Long & Short, Smart Risk Management)
This indicator combines the power of CCI (Commodity Channel Index) and Parabolic SAR, creating a highly reliable trading system that adapts to market conditions.
🚀 How It Works:
Trend Hunting: CCI detects weakening momentum and potential reversal zones.
Confirmation: Parabolic SAR confirms the trend direction, reducing false signals.
Smart Risk Management: Offers both fixed-percentage and ATR-based dynamic Stop Loss & Take Profit, adjusting to volatility automatically.
Performance Dashboard: Tracks win rate, average profit/loss, max drawdown, and winning/losing streaks for deeper strategy insights.
⚡ Who Is It For?
Day traders looking for quick entries and exits,
Swing traders seeking to capture trend reversals,
Risk-conscious investors who want disciplined SL/TP management.
💡 More than just a signal generator, this indicator provides traders with a structured trading framework that helps maintain consistency and discipline.
Trend Continuation Filter - 🚀 Trend Continuation Filter — Multi-Factor Overlay
This overlay plots bullish / bearish continuation labels & arrows only when the market has enough confluence behind the move. Think of it as your “trend gatekeeper” — cutting out weak setups and highlighting only those with real momentum + structure.
🔍 Built-in Filters
✔ Ichimoku Cloud → trend bias + Tenkan/Kijun confirmation
✔ MACD (12/26/9) → acceleration via histogram slope
✔ RSI / MFI (14) → momentum quality (≥60 bullish / ≤40 bearish)
✔ ADX (14) → strength check (≥20 and rising)
➕ EMA Alignment (9/21/55/233) (optional)
➕ ATR Slope (14) (optional)
🎯 How it works
✅ Prints a Bull Continuation label/arrow when ≥4 filters align to the upside
✅ Prints a Bear Continuation label/arrow when ≥4 filters align to the downside
⚙️ minChecks input lets you adjust the strictness:
• Normal Days → set to 4 (more frequent, flexible)
• Trend Days → raise to 5–6 (fewer, high-conviction setups)
📈 Best Practices
⏰ Focus on London & New York sessions for clean expectancy
🧩 Pair with a HUD/Dashboard panel to see exactly which filters are active
Custom Volume + Buyer & Price %Title: Custom Volume + Buyer & Price %
Description:
This indicator helps you see who is controlling the market — buyers or sellers — using volume and price action. It works even if your chart is on a small timeframe (like 5-min or 15-min), by showing Daily, Weekly, and Monthly information from the higher timeframe volume charts.
Key Features & How It Works:
Buyer % (B%):
Measures where the closing price is within the high-low range of a candle.
Calculation:
\text{Buyer %} = \frac{\text{Close} - \text{Low}}{\text{High} - \text{Low}} \times 100
Interpretation:
> 50% → Buyers are stronger
< 50% → Sellers are stronger
50% → Balanced
Volume Coloring:
Volume bars are colored based on Buyer %, not price movement:
Green → Buyers dominate
Red → Sellers dominate
Yellow → Balanced day
Higher Timeframe Insight:
Displays Daily, Weekly, and Monthly volume & Buyer % even if your chart is on a smaller timeframe.
Lets you understand long-term buying or selling pressure while trading intraday.
21-Day Average:
Shows average Buyer % and average volume over the past 21 days for trend context.
Why It’s Useful:
Quickly visualize whether the market is buyer-driven or seller-driven.
Identify strong accumulation or distribution days.
Works on any chart timeframe while giving higher timeframe perspective.
Ideal for traders who want easy, visual insight into market sentiment.
PCCE + False Breakout DetectorPCCE + False Breakout Detector
Type: Invite‑Only Indicator (closed source)
Purpose: Identify volatility compression (“coil”) and the first expansion after it, while filtering failed breakouts (bull/bear traps).
What it does — in plain language
This tool unifies two complementary behaviours that often appear back‑to‑back around strong moves:
1. Price Coil Compression & Expansion (PCCE) – finds compact ranges created by shrinking candle bodies, wick dominance, and contracting range relative to recent history. When price expands out of that coil with strength, it prints a Burst↑ / Burst↓ label.
2. False Breakout Detection – monitors recent swing extremes. If price closes beyond a prior high/low but re‑enters that range within a short window, it marks a trap (❌ red for failed bullish breakout, ❌ green for failed bearish breakout).
Why combine them?
PCCE tells you where the next move is likely brewing; the trap filter validates whether the breakout is genuine or failing. Used together they turn raw breakouts into structured, risk‑aware opportunities.
How it works — concepts behind the calculations
1) Detecting “Coil” (compression)
• Body contraction: Count of consecutive bars where |close-open| is decreasing within a sliding window.
• Wick dominance: Average (upper wick + lower wick) / body must exceed a threshold → indecision/liquidity probing.
• Relative range: Current high‑low over the window must be smaller than the average of prior windows (tight market).
• Coil zone: When the above conditions align, the most recent high/low envelope defines the coil’s bounds.
2) Confirming “Burst” (expansion)
A breakout through the coil high/low is only labelled when:
• Body thrust: current body > moving‑average body × multiplier (large real body).
• Relative volume: volume > moving‑average volume × multiplier (participation filter).
• Trend alignment (optional): close vs EMA to avoid counter‑trend bursts.
• Cooldown: minimum bars between signals to reduce clustering.
Result: Burst↑ if closing beyond coil high with thrust; Burst↓ if closing beyond coil low with thrust.
3) Flagging failed breakouts (traps)
• Track recent swing high/low from a lookback excluding the current bar.
• If a bar closes beyond that swing but within N bars price closes back inside the swing range → flag a trap:
• Bull trap: ❌ red above bar (break above failed)
• Bear trap: ❌ green below bar (break below failed)
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What you see on the chart
• Coil zone: a shaded box (tight range envelope).
• Burst labels: Burst↑ (triangle up) and Burst↓ (triangle down) at confirmed expansion bars.
• Trap markers: ❌ red (failed bullish breakout), ❌ green (failed bearish breakout).
• Alerts: “Burst Up”, “Burst Down” (fires on bar close only).
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How to use it
1. Preparation : When a coil box forms, mark the zone and wait.
2. Trigger : A Burst label confirms the first expansion with thrust/volume; treat it as an entry cue only within your own plan.
3. Validation : If a ❌ trap appears shortly after a break, treat it as caution/exit info; the breakout is failing.
4. Context : Best on 15m–4H. Combine with higher‑timeframe bias, nearby S/R, and risk controls.
5. Parameters to tune :
• Coil window, wick‑to‑body threshold, and range tightness
• Body/volume multipliers
• EMA trend filter on/off
• Trap lookback and confirmation bars
• Cooldown bars
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Originality & usefulness
• Behaviour‑first compression scoring: Coil detection blends monotonic body shrink, wick dominance, and relative range contraction—not generic bands or a single oscillator.
• Two‑stage discipline: A burst is not just any break; it requires body thrust + relative volume (+ optional trend) to reduce noise.
• Immediate invalidation layer: The trap filter is evaluated right after the burst context, turning breakouts into risk‑aware signals rather than blind entries.
• Operator controls: Cooldown + multipliers let traders adapt the strictness to instrument/session behaviour.
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Repainting & limitations
• Signals are evaluated on bar close; no lookahead, no request.security() with lookahead_on.
• Coil boxes while forming can update until confirmed; Burst/Trap labels do not repaint after their bar closes.
• News spikes and illiquid hours can still create noise; adjust multipliers and cooldown for your market.
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Disclaimer
This indicator is an educational decision‑support tool, not financial advice. Markets are uncertain; past behaviour does not guarantee future results. Use with your own analysis and risk management.
VOSM StrategyVOSM Strategy
Buy: Triggered when a bullish chart pattern forms, confirmed by strength and continuation signals.
Sell: Triggered when a bearish chart pattern forms, confirmed by weakness and reversal signals.
👉 In short, patterns give the setup, confirmations decide the action.
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