Ultimate Auto Trendlines - No Lag, No repaint, & High Accuracy Non-Repainting Auto Trendlines by Pivots – The cleanest way to draw real trendlines automatically!
Connects confirmed pivot highs/lows → solid, angled trendlines (no flat junk)
Filters by minimum angle → only meaningful trends
Shows recent pivots with "R" / "S" labels (optional)
Long extension to the right – see future zones instantly
Perfect for SPY, QQQ, NASDAQ daily swings – 85%+ touch rate in backtests
Why traders love it:
• No repaint – safe for live trading & alerts
• Keeps chart clean – only recent levels
• Angle filter = no useless horizontal lines
• Works on any timeframe – daily/4H/1H killer
Add to chart now → see the difference immediately!
How to Use the "Auto Trendlines by Pivots" Indicator Effectively
This indicator automatically draws clean, non-repainting trendlines by connecting confirmed pivot highs and lows, helping you visualize dynamic trend direction, support/resistance from swings, and potential reversal or continuation zones. It's especially powerful on daily and 4H charts for SPY, QQQ, NASDAQ stocks, forex majors, and crypto.
Quick Start Guide
Add to Chart
Open TradingView → Pine Editor → paste the script → Save → Add to Chart.
Best symbols/timeframes: SPY/QQQ/ES1! daily, 4H, or 1H.
Key Settings (Recommended Starting Values)
Pivot Left/Right Bars: 5/5 (default) → balanced strength.
Increase to 8–10 for stronger, fewer lines (less noise, higher accuracy).
Decrease to 3–4 for more frequent lines (scalping/intraday).
Max Trendlines: 8 (default) → keeps chart readable.
Lower to 4–6 for minimalism; raise to 12–15 for more history.
Min Trend Angle: 15° (default) → filters out flat/weak lines.
Increase to 20–25° for steeper trends only (very clean chart).
Decrease to 10° to see shallower trends.
Line Extension: 100–200 bars → long enough to project forward zones.
Show Labels: On → "R" (red) and "S" (green) marks pivot points.
Turn off for ultra-clean look.
How to Read & Trade with It
Uptrend (Bullish): Greenish upward-sloping lines connecting higher lows → act as dynamic support.
→ Buy pullbacks to the trendline + confirmation (e.g., RSI oversold, volume spike, candlestick reversal).
→ Target next resistance line or previous pivot high.
Downtrend (Bearish): Reddish downward-sloping lines connecting lower highs → act as dynamic resistance.
→ Short rejections at trendline + confirmation (e.g., RSI overbought, bearish engulfing).
→ Target next support line or previous pivot low.
Range / Sideways: Mixed criss-crossing lines → avoid trading or use horizontal S/R levels (when trendlines flatten).
Confluence = where multiple lines cluster → highest-probability zones.
Breakouts: When price closes decisively through a trendline → signals potential trend change or acceleration.
Wait for retest of broken line as new support/resistance.
Pro Trading Tips (High-Probability Setups)
Confluence is King: Trade when price reaches a trendline + horizontal S/R level from pivots (yellow zones if you add confluence logic).
Timeframe Alignment: Use daily lines for bias, 4H/1H for entries.
Confirmation Tools:
RSI(2) < 10 near support (long) or > 90 near resistance (short)
Volume > 20-period SMA on touch
Candlestick patterns (hammer, engulfing) at line
Risk Management:
Stop below support trendline (longs) or above resistance trendline (shorts)
Target 1.5–3R (next major level or opposite line)
Avoid trades if VIX > 25–30 (high volatility kills accuracy)
Best Markets: Strong trends (bullish SPY/QQQ 2020–2025) → 70–85% bounce rate at lines.
Common Mistakes to Avoid
Over-trading flat markets → wait for clear trend angle.
Ignoring angle filter → flat lines are noise, not real trends.
Not zooming out → always check higher timeframe (weekly) for major lines.
Performance Insight
Backtests on SPY daily (2010–2025): ~80% price interaction (touch/bounce) at trendlines in trending periods.
Combine with RSI(2) or EMA50 → win rate often >75% on pullback entries.
אינדיקטורים ואסטרטגיות
Fibonacci 5 Candles Retracement
================================================================================
FIBONACCI 5 CANDLES RETRACEMENT - STRATEGY GUIDE
================================================================================
WHAT DOES THIS STRATEGY DO?
---------------------------
This strategy automatically identifies market trends and uses Fibonacci
retracements to find the best entry points. The idea is simple: when price
makes a strong movement (trend), it often pulls back before continuing in
the same direction. The strategy captures these "pullbacks" to enter at the
right moment.
HOW IT WORKS?
-------------
1. TREND DETECTION
The strategy looks for 5 consecutive candles of the same color:
- 5 red candles = BEARISH trend (price falls)
- 5 green candles = BULLISH trend (price rises)
2. CALCULATION OF START AND END POINTS
For a BEARISH trend (5 red candles):
- START: The highest point between the first red candle and the previous one
- END: The lowest point reached during the 5 candles (and beyond, if the
trend continues)
For a BULLISH trend (5 green candles):
- START: The lowest point between the first green candle and the previous one
- END: The highest point reached during the 5 candles (and beyond, if the
trend continues)
3. DYNAMIC UPDATE
The END point updates automatically if price continues to move in the
direction of the trend, creating new highs (for bullish trends) or new
lows (for bearish trends).
4. TREND END
Normal Mode:
- BEARISH trend ends when a candle closes above the previous candle's open
- BULLISH trend ends when a candle closes below the previous candle's open
"Extended Trend" mode (optional):
- The trend remains active until a candle closes beyond the dynamic 50%
retracement level
- When this happens, the END point "freezes" (stops updating), but the
trend can continue
5. FIBONACCI RETRACEMENT CALCULATION
Once START and END are identified, the strategy automatically calculates
Fibonacci levels. IMPORTANT: for retracements and pending orders, we
consider START as 100% and END as 0%, because we work on the part of the
trend that is recovered (the pullback).
The retracement levels are:
- 70% = level closest to START (smallest retracement)
- 60% = second level
- 50% = central level (often used for entry)
- 25% = level closest to END (largest retracement)
6. PENDING ORDER PLACEMENT
When a trend is identified and completed, the strategy automatically places
a pending order (limit order) at one of the selectable Fibonacci levels.
Available levels:
- 25%: closest to END
- 50%: central level (balanced)
- 60%: closest to START
- 70%: very close to START
The order direction depends on the trend:
- BEARISH trend → SHORT order (bet that price falls)
- BULLISH trend → LONG order (bet that price rises)
Stop Loss and Take Profit (for retracements):
- Stop Loss: always at START level
- Take Profit: always at END level
EXTENDED TAKE PROFIT:
If the order is executed (filled), the strategy can apply an "Extended
Take Profit" if configured. IMPORTANT: for the extended TP calculation,
we consider START as 0% and END as 100% (the original trend movement).
For example, if you set 3%, the Take Profit will be at 103% of the
original trend movement instead of 100%.
AVAILABLE FILTERS
-----------------
1. MINIMUM TREND (pips)
Filters trends that are too small. If a trend is below the set value:
- START and END labels become gray (instead of red/green)
- No pending order is placed
- The trend is still displayed on the chart
Useful for avoiding trading movements that are too small.
2. EMA FILTER
Uses two moving averages (EMA 50 and EMA 200) to filter direction:
- If active: places LONG orders only when EMA50 > EMA200 (uptrend)
- If active: places SHORT orders only when EMA50 < EMA200 (downtrend)
Useful for trading only in the direction of the main trend.
3. EXTENDED TREND
Modifies how the trend is considered "completed":
- If disabled: uses normal logic (opposite candle)
- If active: the trend remains in formation until a candle closes beyond
the dynamic 50%. When this happens, END freezes but the trend can continue.
Useful for capturing longer trends and extended movements.
VISUALIZATION
-------------
The strategy displays on the chart:
1. START AND END LABELS
- Red color for bearish trends
- Green color for bullish trends
- Gray color if the trend is not valid (too small)
- Remain visible even when new trends form
2. START AND END LINES
- Horizontal lines indicating the start (START) and end (END) points of the trend
- White color by default, customizable from the settings panel
- Update dynamically when the END point changes
- Can be shown or hidden via the "Show Start/End Lines" option
3. FIBONACCI LINES
The strategy shows horizontal lines at retracement levels:
- Line at 50% (yellow by default)
- Line at 25% (green by default)
- Line at 60% (azure by default)
- Line at 70% (red by default)
COLOR CUSTOMIZATION:
All line colors can be customized from the settings panel in the
"LINE COLORS" section:
- Start/End Line Color: customize the color of START and END lines
- 50% Line Color: customize the color of the 50% line
- 25% Line Color: customize the color of the 25% line
- 60% Line Color: customize the color of the 60% line
- 70% Line Color: customize the color of the 70% line
Lines update dynamically when the END point changes and can be shown or
hidden individually via options in the "VISUALIZATION" section.
4. PENDING ORDER LABELS
Show pending order information:
- Direction (LONG or SHORT)
- Entry price
- Stop Loss
- Take Profit
Positioned far from the chart to avoid cluttering the visualization.
ALERTS
------
If enabled, alerts send notifications when:
1. PENDING ORDER CREATED
When a new pending order is placed, with all information.
2. PENDING ORDER UPDATED
When the pending order is updated (for example, if the level changes or
if the END point moves).
3. ORDER OPENED
When the pending order is executed (filled) and the position is opened.
Alerts can be configured in TradingView to send notifications via email,
SMS, or other platforms.
RECOMMENDED SETTINGS
--------------------
To get started, you can use these settings:
VISUALIZATION:
- Show all lines and labels to see how it works
- Show Start/End Lines: true (to display lines at START and END points)
- Customize line colors in the "LINE COLORS" section according to your preferences
STRATEGY:
- Pending Order Level: 50% (balanced)
- Extended TP: 0% (use standard TP at 100%)
FILTERS:
- Minimum Trend: 0 pips (disabled initially)
- Use EMA Filter: false (disabled initially)
- Extended Trend: false (use normal logic)
ALERTS:
- Enable Alerts: true (if you want to receive notifications)
PRACTICAL EXAMPLE
-----------------
Scenario: Bearish Trend
1. Price forms 5 consecutive red candles
2. The strategy identifies:
- START = 1.2000 (highest point)
- END = 1.1900 (lowest point)
- Range = 100 pips
3. Calculates Fibonacci levels (for retracements: START = 100%, END = 0%):
- 100% = 1.2000 (START)
- 70% = 1.1930
- 60% = 1.1940
- 50% = 1.1950
- 25% = 1.1975
- 0% = 1.1900 (END)
4. If you set "Pending Order Level" to 50%:
- Places a SHORT pending order at 1.1950 (50% retracement)
- Stop Loss at 1.2000 (START = 100%)
- Take Profit at 1.1900 (END = 0%)
5. If price rises and touches 1.1950:
- The order is executed
- Opens a SHORT position
- If price falls to 1.1900 → Take Profit (profit)
- If price rises to 1.2000 → Stop Loss (loss)
IMPORTANT NOTE
--------------
This strategy is a technical analysis tool. Like all trading strategies,
it does not guarantee profits. Trading involves risks and you can lose money.
Always use appropriate risk management and test the strategy on historical
data before using it with real money.
LICENSE
-------
This code is open source and available for modification. You are free to
use, modify, and distribute this strategy. If you republish or share a
modified version, please kindly mention the original author.
================================================================================
Auto Fib Retracement Advanced//@version=5
indicator("Auto Fib Retracement Advanced", overlay=true, max_lines_count=500) // Increase max_lines_count
leftBars = input.int(10, "Pivot Left Bars")
rightBars = input.int(10, "Pivot Right Bars")
extendRight = input.bool(true, "Extend Lines Right")
swingHigh = ta.pivothigh(high, leftBars, rightBars)
swingLow = ta.pivotlow(low, leftBars, rightBars)
var float lastHighPrice = na
var int lastHighBar = na
var float lastLowPrice = na
var int lastLowBar = na
// Arrays to store line IDs for management
var lines = array.new_line()
levels_values = array.from(0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0)
// Update pivot points and redraw lines when a new pivot is confirmed
if not na(swingHigh) or not na(swingLow)
if not na(swingHigh)
lastHighPrice := swingHigh
lastHighBar := bar_index
if not na(swingLow)
lastLowPrice := swingLow
lastLowBar := bar_index
// Delete existing lines before drawing new ones
for i = 0 to array.size(lines) - 1
line.delete(array.get(lines, i))
array.clear(lines)
if not na(lastHighPrice) and not na(lastLowPrice)
isUptrend = lastHighPrice > lastLowPrice
fibRange = math.abs(lastHighPrice - lastLowPrice)
// Draw new lines
for i = 0 to array.size(levels_values) - 1
levelValue = array.get(levels_values, i)
priceLevel = isUptrend ? lastLowPrice + fibRange * levelValue : lastHighPrice - fibRange * levelValue
// Use line.new to create persistent horizontal lines
newLine = line.new(x1=lastLowBar, y1=priceLevel, x2=bar_index + (extendRight ? 500 : 0), y2=priceLevel, color=color.gray, style=line.style_dashed)
array.push(lines, newLine)
Scalping MTF F-Bands Signals (L/S) + RSI Filter [RCOHelpline] v4Overview of Scalping MTF F-Bands Signals (L/S) + RSI Filter v4:
This indicator is a scalping / intraday signal system built on Multi-Timeframe (MTF) Fibonacci-style bands, combined with an RSI midline filter and an optional direction-lock mechanism designed to reduce repeated entries during unfavorable conditions.
The script focuses on identifying statistically stretched price areas rather than chasing momentum.
Core Concept
The indicator plots two independent Fibo Band layers (A & B).
Each layer is calculated using:
SMA (baseline)
ATR (volatility expansion)
Fibonacci-style multipliers
Both layers are calculated on user-selected higher timeframes and projected onto the current chart.
Signal Sources (A / B / BOTH)
You can choose how signals are generated:
A → Signals based only on Fibo Bands A
B → Signals based only on Fibo Bands B
BOTH → Signals require confluence between A and B
When BOTH is selected, a signal is triggered only if price simultaneously reaches valid zones on both band layers, helping filter noise.
Entry Logic
LONG
Price closes inside the Lower Zone (between Fib Band 2 and Band 3)
RSI is above the midline (default 50)
SHORT
Price closes inside the Upper Zone (between Fib Band 2 and Band 3)
RSI is below the midline (default 50)
All signals are designed to trigger on confirmed candle closes to reduce MTF instability.
Direction Lock System (Optional)
If enabled, the script locks the trade direction when a Stop Loss occurs before TP1 is reached.
This helps prevent repeated entries in the same direction during unfavorable or choppy conditions.
Unlock Logic
A locked direction can be unlocked when:
RSI crosses back over the midline
AND price closes again inside the valid Band 2–3 zone
With the optional setting enabled, a new entry may occur on the same candle as the unlock condition.
TP & Stop Logic (Price-Action Based)
This indicator uses structure-based exits, not fixed pip targets.
Before TP1
LONG → Two consecutive closes below Lower Band 3
SHORT → Two consecutive closes above Upper Band 3
After TP1
Stop automatically shifts to Break-Even
Any return to entry price closes the position
MTF & Usage Notes
The indicator relies on higher timeframe data
Signals are gated until band data is fully formed
Designed for structured price action environments
⚠️ Not recommended for:
High-impact news
Sudden volatility spikes
Extremely fast impulsive moves
Volume Anomaly Reversal DetectionVolume Anomaly Reversal Detection (VARD System)
🎯 What This Indicator Does
This indicator identifies potential trend reversals by detecting abnormal volume activity that often precedes significant price movements. It combines volume anomaly detection with dynamic trend analysis to generate actionable BUY/SELL signals.
📊 Core Concept & Methodology
Volume Anomaly Detection
The indicator analyzes directional volume (buying vs selling pressure) from a lower timeframe and calculates Z-scores to identify statistically significant volume spikes.
Z-Score Formula:
Z = (Current Volume - Average Volume) / Standard Deviation
When volume exceeds the threshold (default: 3 standard deviations above mean), it signals unusual market activity - often caused by forced liquidations or capitulation.
Dynamic Trend Filter
A custom trend-following algorithm based on ATR (Average True Range) bands determines the current market direction:
Price above lower band = Uptrend
Price below upper band = Downtrend
Signal Logic
Volume anomaly detected during an existing trend
Trend reversal confirmed within the confirmation window
Signal generated = BUY or SELL label appears
⚙️ Settings Explained
SettingDefaultDescriptionAnalysis Timeframe15minLower timeframe for volume samplingStatistical Lookback200Bars used for Z-score calculationAnomaly Sensitivity3.0Z-score threshold (lower = more signals)Confirmation Window50Max bars between anomaly and trend flipATR Multiplier2.0Trend band widthTrend Period10ATR calculation length
📖 How To Use
Entry Signals
BUY: Green label appears below bar - consider long positions
SELL: Red label appears above bar - consider short positions
Volume Anomaly Markers (⬥)
Small diamonds indicate detected volume spikes
These are early warnings before confirmed signals
Useful for anticipating potential reversals
Trend Bands
Colored zones show active signal direction
Stay with the trend until opposite signal appears
Best Practices
Confirm with price action - Look for support/resistance levels
Use appropriate timeframes - Works on all timeframes, but 1H-4H recommended
Manage risk - Always use stop losses
Avoid ranging markets - Best in trending/volatile conditions
⚠️ Important Notes
No indicator is perfect - Use as part of a complete trading strategy
Volume data required - Will show warning if volume unavailable
Not financial advice - Always do your own research
🔔 Alerts Available
BUY Signal Confirmed
SELL Signal Confirmed
Volume Anomaly (Buy Setup)
Volume Anomaly (Sell Setup)
CUSUM Volatility BreakoutCUSUM Volatility Breakout A statistical trend-detection and volatility-breakout indicator that identifies subtle momentum shifts earlier than traditional tools.
OVERVIEW
The CUSUM control chart is a statistical tool designed to detect small, gradual shifts from a target value. In trading, it helps identify the early stages of a trend, giving traders a heads-up before momentum becomes obvious on standard price charts. By spotting these subtle movements, the CUSUM Volatility Breakout indicator (CUSUM VB) can highlight potential breakout opportunities earlier than traditional indicators. In other words, a statistical trend detection & breakout indicator.
Copyright © 2025 CoinOperator
HOW IT WORKS
CUSUM VB uses a combination of differenced price series, volume normalization, and dynamic control limits:
CUSUM Principle: Tracks cumulative deviations of price from a zero reference. Signals occur when cumulative deviations exceed a control limit shown on the chart and clears any enabled filters.
Adaptive Volatility: H adjusts automatically based on short- vs long-term ATR ratios, allowing faster detection during volatile periods and reduced false signals in calm markets.
Volume Weighting (optional): Amplifies price CUSUM values during high-volume bars to prioritize market participation strength.
ATR Confirmation (optional): Ensures breakouts are accompanied by expanded volatility.
Bollinger Band Squeeze Integration (optional): Confirms trend breakouts by detecting volatility contraction and release shown on the chart as triangles.
Signals:
Arrows on the price chart mark the bars where trades are actually filled, based on conditions detected on the prior signal bar.
Long Entry: Confirmed positive CUSUM breach (price & volume) with BB breakout (signal bar).
Short Entry: Confirmed negative CUSUM breach (price & volume) with BB breakout (signal bar).
Exit Signals: Triggered automatically by opposite-side signals.
Alerts, when created, fire on the bars where fills occur.
CHART COMPONENTS
CUSUM Upper Price (CU Price) and CUSUM Lower Price (CL Price) are green/red circles for confirmed signals.
● Rapid upward accumulation of CU Price indicates a developing bullish trend.
● Rapid downward accumulation of CL Price indicates a developing bearish trend.
Decision/Control limits (UCL/LCL, red)
Zero line (reference for the differenced price series baseline)
Optional BB triangles and volume CUSUM
SETUP AND CONFIGURATION
Differenced Price Series
Differenced Price Length and Lag
Increase differencing lag or window length → Increases variance of residuals → Wider control limits (UCL/LCL) → Slower to trigger.
Decrease lag or window → Tighter limits, more responsive to short-term regime shifts.
CUSUM Parameters
Volume-Weighted CUSUM
NOTE : Uses price length if 'Confirm Price with Volume' is disabled, otherwise will use volume length.
Amplifies CUSUM price responses during high-volume bars and reduces them during low-volume bars. This links trend detection to market participation strength.
Volume-Weighted CUSUM doesn’t replace price confirmation with volume; it modulates it by volume intensity, amplifying price signals when participation is strong and suppressing them when weak.
Recommended when analyzing assets with consistent volume patterns (e.g., stocks, major futures).
Disable for low-liquidity or irregular-volume instruments (e.g., crypto pairs, small-cap stocks).
ATR Confirmation
Enable this feature to confirm CUSUM signals only when price deviations are accompanied by higher-than-normal volatility. The indicator compares current ATR to a smoothed ATR to detect volatility expansion. This helps distinguish true breakouts from low-volatility noise and reduces false signals during quiet periods.
Adjust the ATR lookback length, smoothing length, and expansion factor to control sensitivity. Rule of thumb:
ATR Length ≈ 0.5 × differenced price length to 1.5 × differenced price length gives balanced sensitivity.
ATR Smoothing 5–10 bars.
ATR Expansion 5% to 50%.
CUSUM Input Mode
Select how CUSUM processes differenced price and log-normalized volume — either directly (Txfrm Data) or as deviations from a short-term EMA baseline (Residuals):
Txfrm Data = transformed input: differenced price & log-normalized volume as input for CUSUM (larger swings, more frequent control limit breaches)
Residuals = deviation from short-term EMA baseline (smaller swings, fewer control limit breaches, but higher signal quality).
Residual EMA Length: Defines how quickly the residual baseline adapts to recent differenced price moves. Shorter = more reactive; longer = smoother baseline. Keep EMA length moderate; over-smoothing can distort timing.
Control Sensitivity (K)
Increase K → Less sensitive → CUSUM accumulates slower → Fewer signals, captures only major trends.
Decrease K → More sensitive → CUSUM accumulates faster → More signals, captures minor swings too.
Reset Mode : Method of resetting CUSUM values.
Immediate Reset: Reset both immediately after any signal breach. Traditional SPC.
Opposite-Side Reset: Reset only the opposite side when a valid signal fires. Best for ongoing trend tracking.
Decay Reset: Gradually reduce CUSUM values toward zero with a decay factor each bar. Maintains trend memory but allows slow “forgetting.”
Threshold Reset: Reset only if CUSUM returns below a small threshold (10 % of H). Filters noise without full wipe.
No Reset / Continuous: Never reset; instead track running totals. Long-term cumulative bias measurement.
Conflict Handling : Method of handling conflicting signals.
Ignore Both: Discards both when overlap occurs.
Prioritize Latest: Chooses the direction implied by the most recent close.
Prioritize Stronger: Compares absolute magnitudes of CU Price vs CL Price.
Average Resolve: Looks at the difference; small overlap → ignore, otherwise pick direction by sign.
Sequential Confirm: Requires N consecutive same-direction signals before confirmation.
Volume Parameters (Optional)
Amplification Factor
Adjusts volume sensitivity and effectively rescales the log series of volume to a comparable magnitude with price changes.
Since price and volume are normalized in a compatible way, the amplification factor is used instead of independent K and H values for volume.
Bollinger Bands (Optional)
Lookback Synchronization
BB Lookback (for CUSUM): Number of bars that define a window for the BB signal to look back for the CUSUM signal.
CUSUM Lookback (for BB): Number of bars that define a window for the CUSUM signal to look back for the BB signal.
Both can be enabled for stricter alignment.
Relationship Between K, H, ARL₀ and ARL₁
H (max) is usually the only H you need to adjust. With everything else being constant, increasing either K or H (max) generally increases both ARL₀ and ARL₁ : higher thresholds reduce false alarms but slow detection, and lower thresholds do the opposite.
Increase Min Target ARL ratio →
ARL₀ increases (safer, fewer false alarms)
ARL₁ decreases or stays small (faster detection)
Control limits slightly expand to achieve separation
Strategy becomes more selective and stable
Decrease Min Target ARL ratio →
ARL₀ decreases (more false alarms tolerated)
ARL₁ increases (slower detection tolerated)
Control limits tighten
Strategy becomes more sensitive but lower quality
The ARL Ratio of ARL₀ / ARL₁ is typically between 3 and 8. This implies you want your ARL₀ (false-alarm interval) ≈ 'Min Target ARL ratio' × differenced price length window.
Example:
"Min Target ARL ratio = 4.0"
⇒ implies you want your ARL₀ (false-alarm interval) ≈ 4 × differenced price length.
Assume price length = 50 (typical differencing window).
ARL ratio = 4.0 → target ARL = 4 × 50 = 200 bars.
● On a 6-hour chart (≈4 bars/day) → ~50 days between expected false alarms (on average).
● On a daily chart → ~200 trading days between false alarms (very conservative).
ARL ratio = 8.0 → target ARL = 400 bars → twice as infrequent signals vs ratio=4.
ARL ratio = 2.0 → target ARL = 100 bars → about half the inter-signal interval.
Another way to think about it: probability of a false alarm on any bar ≈ 1 / target ARL. If you want ~1% of bars producing alarms, target ARL ≈ 100.
QUICK START
Start with the defaults.
Set price series → length/order/lag
Configure CUSUM thresholds → K, H min/max
1. Adjust the price differencing lag/window.
2. Verify that it captures real price inflection points without overreacting to bar noise.
Enable optional filters → Volume, ATR, BB
The optional Bollinger Bands squeeze usually works best if used with CUSUM Input Mode = Txfrm Data.
Monitor CUSUM chart → CU Price, CL Price, thresholds, zero line
Act on signals → data window / chart triangles
Adjust sensitivity → H (max), K, lengths
Monitor ARL ratio and CUSUM behavior for fine-tuning
Note : When you’ve finalized the length, lag, and order of the Price Difference, as well as the Ln(Vol) Series of “Confirm Price with Volume” if enabled, then pass both through the Augmented Dickey–Fuller (ADF) mean reversion test to ensure they are stationary, i.e., mean reverting. You can find a ready-made indicator for such use at . Many thanks to tbtkg for this indicator.
SUMMARY
CUSUM VB combines CUSUM statistical control, volatility-adaptive thresholds, volume weighting, and optional BB breakout confirmation to provide robust, actionable signals across a wide variety of trading instruments.
Why traders use it : Fast detection of shifts, reduced false alarms, versatile across markets.
Ideal for : Futures (continuous contracts), forex, crypto, stocks, ETFs, and commodity/index CFDs, especially where:
● Price and volume data exist
● Breakouts and volatility shifts are tradable
● There’s enough liquidity for meaningful signals
Visualization : Upper/lower CUSUM circles, UCL/LCL thresholds, optional highlight traded background, optional volume and BB overlays on the chart, optional entry/exit labels on the price chart, as well as entry/exit signals in the data window.
Alerts : For entry/exit labels when trades are actually filled.
CUSUM VB is designed for traders who want statistically grounded trend detection with configurable sensitivity, visual clarity, and multi-market versatility.
DISCLAIMER
This software and documentation are provided “as is” without any warranties of any kind, express or implied. CoinOperator assumes no responsibility or liability for any errors, omissions, or losses arising from the use or interpretation of this software or its outputs. Trading and investing carry inherent risks, and users are solely responsible for their own decisions and results.
SCOTTGO - Liquidity Zones (Sweeps + Tethers)
SCOTTGO - Liquidity Zones is a high-performance technical analysis tool designed to identify and track Institutional Liquidity Zones, Price Sweeps, and Pivot Levels with a clean, professional-grade interface.
Key Features
Dynamic Liquidity Zones: Automatically identifies Bullish and Bearish zones based on customizable pivot lookbacks.
Identify Liquidity Sweeps: Detects when price "pokes" through a zone but fails to close beyond it, marking the event with a distinct label and a visual tether line.
Active Tracking: Zones and LIQ lines track price in real-time until they are mitigated (broken by a candle close), at which point they visually "deactivate" to reduce clutter.
Professional UI: Features a compact, single-row styling menu (Color, Thickness, and Line Style) that mirrors TradingView’s native design.
Visual Elements
LIQ Lines: Solid or dashed lines tracking the exact pivot price within active zones.
Sweep Tethers: Vertical lines connecting the candle extreme to the "SWEEP" label for precise visual confirmation.
Detailed Tooltips: Hover over LIQ labels or Sweep tags to view specific price data and zone context.
Zone Titles: Clearly labeled "BULL ZONE" and "BEAR ZONE" tags with independent font size controls.
How to Use
Core Logic: Adjust the Pivot Lookback to define the strength of the levels you want to track.
Styling: Use the Inputs Tab for compact, specialized styling of Lines, Borders, and Sweeps.
Analysis: Look for "Sweeps" at zone boundaries as potential signs of reversal or stop-running.
MTG v1MTG v1 is a complete trend-following trading system that combines:
PSAR (Parabolic SAR) - Trend direction
EMAs (5, 13, 50) - Momentum confirmation
AMA (Adaptive Moving Average) - Intelligent exits
Smart Filters - Volume, ATR, choppy market detection
Purpose: Catch strong trends early and ride them for maximum profit.
Candle Boxes (Border + Midline + Open level)📦 Candle Boxes (Border + Midline + Open Level)
Candle Boxes is a visual multi-timeframe (HTF) tool designed to display higher-timeframe candle structure directly on a lower-timeframe chart.
It helps traders understand HTF context without constantly switching between timeframes.
🔍 What this indicator displays
For each HTF candle, the indicator draws:
HTF Box
Top = HTF High
Bottom = HTF Low
Horizontal span = full HTF candle duration
Border color
Bullish HTF candle → bullish color
Bearish HTF candle → bearish color
Midline (50%) – optional
Exact midpoint of the HTF range: (High + Low) / 2
HTF Open level – optional
Horizontal line at the HTF candle open price
All elements are drawn without background fill to keep the chart clean and readable.
⏱ Multi-Timeframe logic
HTF is selected using the HTF (box timeframe) input
Data is retrieved via request.security() with no repainting
Levels update only while the HTF candle is forming
Once the HTF candle closes, its box and lines remain fixed
🧠 Intended use
This indicator is designed for:
visualizing higher-timeframe context on lower charts
analyzing HTF structure without changing timeframe
supporting:
support & resistance analysis
price action studies
intraday and swing trading context
This tool does not generate buy/sell signals and is not a trading strategy.
⚙️ Settings
HTF & history
HTF (box timeframe) – higher timeframe used to build boxes
Keep last HTF boxes – number of most recent HTF boxes to keep
used to comply with TradingView object limits
the script automatically removes the oldest boxes and lines
Visual options
Border (on/off, width, transparency, colors)
Midline (on/off, colors, transparency)
HTF Open line (on/off, color, width, transparency)
⚠️ Important notes
TradingView enforces strict limits on drawn objects (boxes and lines)
This indicator is optimized to:
display as much historical data as technically possible
automatically manage and delete older objects
Higher HTF → fewer boxes visible in history
Lower HTF → more boxes, faster object-limit usage
🔁 Suggested Timeframe Combinations
This indicator is designed to work best when the selected HTF is significantly higher than the chart timeframe.
Below are practical, commonly used combinations:
Intraday trading
Chart: 5m → HTF: 1H
Chart: 15m → HTF: 4H
Useful for identifying higher-timeframe structure during active trading sessions.
Swing trading
Chart: 30m → HTF: 4H
Chart: 1H → HTF: Daily
Helps visualize major HTF ranges and key levels while managing trades over multiple days.
Higher-timeframe analysis
Chart: 1H → HTF: Weekly
Chart: 4H → HTF: Weekly
Best suited for understanding broader market context, range behavior, and HTF price positioning.
General guideline
A 4× to 8× ratio between chart timeframe and HTF is usually a good starting point
Larger ratios provide cleaner structure but fewer visible boxes
Smaller ratios provide more detail but consume object limits faster
These combinations are guidelines only and can be adjusted based on personal trading style and market conditions.
📌 Disclaimer
This indicator is a visual analysis tool only.
It does not provide financial advice or guarantee any trading outcome.
All trading decisions are made at your own risk.
Always combine this tool with your own analysis and risk management rules.
Liquidity Trap Detector Pro [PyraTime]The Problem: Why You Get Stopped Out
90% of retail traders place their stop-losses at obvious swing highs and lows. Institutional algorithms ("Smart Money") are programmed to push price through these levels to trigger liquidity, fill their heavy orders, and then immediately reverse the market.
If you have ever had your stop hit right before the market moves exactly where you predicted—you were the victim of a Liquidity Trap.
The Solution: Visualizing the "Stop Hunt"
Liquidity Trap Detector Pro is not just a support/resistance indicator. It is a comprehensive Reversal Scoring Engine.
Unlike standard indicators that spam signals on every wick, this tool uses a proprietary 5-Star Scoring System to analyze the quality of the trap. It validates every signal using Wick Symmetry, RSI Divergence, and Volume Analysis to separate a true reversal from a trend continuation.
Key Features (USP)
- 5-Star Scoring Engine: Every signal is rated from 1 to 5 stars. Stop guessing if a signal is valid; let the algorithm check the confluence for you.
- Glassmorphism Visuals: Gone are the messy lines. We use modern, semi-transparent "Liquidity Zones" that keep your chart clean and professional.
- Smart Terminology: Automatically identifies Bull Traps (Buyers trapped at highs) and Bear Traps (Sellers trapped at lows).
- Heads-Up Display (HUD): A professional dashboard monitors the market state, active filters, and recent trap statistics in real-time.
- Strict Non-Repainting: (Technical Note) This script uses strict non-repainting logic. All Higher Timeframe (HTF) data is confirmed and closed before a signal is generated, ensuring historical accuracy.
---
Tutorial: How to Trade This Indicator
1. Understanding the Signals
We use correct institutional terminology to describe the market mechanics:
GREEN Signal (BEAR TRAP):
- What happened: Price swept a Swing Low, enticing sellers (Bears) to enter. The candle then reversed and closed back inside the range, trapping those sellers.
- The Trade: This is a Bullish Reversal setup (Long).
RED Signal (BULL TRAP):
- What happened: Price swept a Swing High, enticing buyers (Bulls) to breakout. The candle reversed and closed lower, trapping the buyers.
- The Trade: This is a Bearish Reversal setup (Short).
2. The 5-Star Scoring System
Not all traps are created equal. The stars tell you how much "Confluence" exists:
- 1 Star: A basic structure sweep. Risky.
- 3 Stars: A solid setup backed by either Volume or Divergence.
- 5 Stars: The "Perfect" Trap. Structure Sweep + RSI Divergence + Volume Spike + Wick Symmetry. High Probability.
3. The Strategy
- Wait for the Zone: Watch price approach a coloured Liquidity Zone.
- Observe the Reaction: Do not trade blindly. Wait for the candle to close.
- Check the Stars: Look for at least 3 Stars before considering an entry.
- Confirm with HUD: Glance at the Dashboard to ensure the "RSI Filter" and "Vol Filter" agree with your analysis.
---
Settings Guide
Structure Settings:
- Pivot Lookback: Adjusts how sensitive the zones are (Default: 10/5).
- HTF Confirmation: Optional filter to only show traps that align with Higher Timeframe structure (e.g., 1H or 4H).
Quality Filters:
- RSI Divergence: Requires momentum to disagree with price (classic reversal sign).
- Volume Spike: Requires volume to be higher than average (Smart Money footprint).
Visuals:
- Clean Mode: A presenter-favorite feature. Hides all historical zones and leaves only the active setup—perfect for taking screenshots or sharing analysis.
Disclaimer
This tool is designed to assist with technical analysis and identifying potential areas of interest. It does not guarantee profits. Trading involves significant risk; always use proper risk management.
SNIPER ORB V4SNIPER ORB V4
### What It Does
Draws 5/15/30 minute Opening Range Breakout levels with confirmation patterns.
### Session Times
| Session | Hours (ET) |
|---------|------------|
| London | 3:00 - 9:30 |
| New York | 9:30 - 17:00 |
### Levels Drawn
| Level | Color Default | Purpose |
|-------|---------------|---------|
| 5m ORB H/L | Blue | Scalp levels |
| 15m ORB H/L | Cyan | Swing levels |
| 30m ORB H/L | Purple | **Primary levels** |
| Targets 1x-3x | Green/Red | Profit targets |
### Signals
| Signal | Meaning | Priority |
|--------|---------|----------|
| `ORB↑` | Confirmed breakout up | ⭐⭐ |
| `ORB↓` | Confirmed breakout down | ⭐⭐ |
| `RT↑` | Retest long entry | ⭐⭐⭐ **BEST** |
| `RT↓` | Retest short entry | ⭐⭐⭐ **BEST** |
| `FVG↑` | FVG zone long | ⭐⭐⭐ |
| `FVG↓` | FVG zone short | ⭐⭐⭐ |
| `ABS` | Absorption (caution) | ⚠️ Warning |
| `FK!` | Fakeout detected | ❌ Avoid |
### FVG Zones (Blue Boxes)
- **Bullish FVG** = Gap below price → Support zone
- **Bearish FVG** = Gap above price → Resistance zone
- **Best Entry** = Price touches FVG + Engulfing candle
### Bar Colors
| Color | Meaning |
|-------|---------|
| Bright Green | Bullish breakout confirmed |
| Bright Red | Bearish breakout confirmed |
| Light Green | Bullish retest entry |
| Light Red | Bearish retest entry |
### Info Table Key
| Field | Green = Good | Yellow/Orange = Caution |
|-------|--------------|-------------------------|
| Volume | HIGH VOL | Normal |
| Body | STRONG (70%+) | Normal/Weak |
| Status | BROKE HIGH/LOW | IN RANGE |
### Quick Trade Plan
```
LONG:
1. Wait for 30m ORB to complete
2. Watch for ORB↑ breakout
3. WAIT for pullback to ORB High
4. Enter on RT↑ or FVG↑ signal
5. SL = Below 30m ORB Low
6. TP = Target 1x or 2x
SHORT:
1. Wait for 30m ORB to complete
2. Watch for ORB↓ breakout
3. WAIT for pullback to ORB Low
4. Enter on RT↓ or FVG↓ signal
5. SL = Above 30m ORB High
6. TP = Target 1x or 2x
```
---
Options Gamma Flip Zones [BackQuant]Options Gamma Flip Zones
A market-structure style “gamma flip” mapper that builds adaptive strike-like zones, scores how price interacts with them, then promotes the strongest candidates into confirmed flip zones. Designed to highlight pinning, failed breaks, and rotational behavior without needing live options chain data.
What this indicator does
This script identifies price levels that behave like “strike magnets” during conditions that resemble options pinning, then draws dynamic zones around those levels.
Instead of assuming every round number matters, it:
Creates a strike ladder (auto or manual step).
Applies a regime filter that looks for “pin-friendly” market conditions.
Tracks and scores repeated interactions with the level.
Upgrades a zone from candidate to confirmed when enough evidence accumulates.
Invalidates zones when price achieves sustained acceptance away from them.
The output is a set of shaded boxes (zones) centered on strike-like levels, with text readouts that show the current state of each zone.
Key concept: “Gamma proxy”
A true gamma flip requires options positioning data. This indicator does not use options chain gamma.
Instead, it uses a proxy approach:
When markets have elevated volatility relative to their recent baseline AND trend strength is weak, price often behaves “sticky” around key levels.
In those conditions, repeated touches and failed escapes around a level behave similarly to pinning around strikes.
So this tool is best read as:
“Where would a strike-like magnet likely exist right now, based on price behavior and regime conditions?”
How zones are created
Zones only start forming when the script detects a pin-friendly regime.
1) Strike Ladder (level selection)
Auto Strike Step selects a step size based on current price magnitude (bigger price, bigger step).
Manual Strike Step lets you force a fixed increment.
The current “active level” is the nearest rounded level to price.
Major Level Every optionally marks major ladder levels (multiples of step).
2) Band construction (zone thickness)
Each zone is a symmetric band around the level, using one of two modes:
ATR mode scales thickness with volatility.
Percent mode scales thickness as a fraction of price.
This matters because “pin behavior” is not a single tick. It’s a region where price repeatedly probes and rejects.
Regime filter (when the script is allowed to believe in pinning)
A zone is only eligible to form and strengthen when Pin Regime is active. Pin Regime is a conjunction of:
1) IV proxy (ATR z-score)
Uses ATR as a volatility proxy.
Converts ATR% into a z-score relative to a long lookback.
IV Proxy Threshold controls how elevated volatility must be before the script considers pinning likely.
2) Weak trend requirement
The script also requires price action to be non-trending:
EMA spread must be small (fast vs slow EMA not diverging strongly).
ADX must be below a ceiling, confirming weak directional trend strength.
Interpretation:
High “IV proxy” + weak trend is where pin-like behavior is most common.
If trend is strong, zones are less meaningful because price is more likely to accept away from levels.
Flip confirmation logic (what upgrades a zone)
A zone is not “confirmed” just because price is near it once. The script builds conviction via evidence accumulation.
Evidence types:
Touches : price comes close to the level within tolerance.
Failed escapes : price pushes outside the band but closes back inside (rejection).
Acceptance run : consecutive closes outside the band, suggesting price is accepting away from the zone.
Protections:
Touch Cooldown prevents counting the same micro-chop as multiple touches.
Acceptance Bars defines what “real acceptance” means, so the zone does not get invalidated by one noisy bar.
A zone becomes confirmed when:
Touches meet the “evidence” requirement.
Failed escapes meet the “rejection” requirement.
The regime filter still says the market is pin-friendly.
That is important, it avoids promoting levels that only worked briefly in a trending tape.
Zone scoring and lifecycle
Each zone maintains a score that evolves over time. Think of score as “how much this level has recently behaved like a magnet.”
Score dynamics:
Decay per bar : score fades over time if price stops respecting the zone.
+ per touch : repeated proximity increases score.
+ per failed escape : rejections add stronger reinforcement.
- per acceptance bar : sustained trading outside reduces score.
Min score to draw : prevents clutter from weak, low-confidence zones.
Invalidation:
If the score becomes very weak AND price achieves sustained acceptance away from the zone, the zone is deleted.
This keeps the chart clean and ensures zones represent current market behavior, not ancient levels.
How to read the plot on chart
1) Zone fill and border
Each zone is drawn as a box extended to the right.
Fill opacity adapts to zone strength, strong zones are visually more prominent.
Border color encodes the current directional context and special events.
2) Bullish vs bearish coloring
A zone is colored bullish when price is currently trading above the zone’s mid-level.
A zone is colored bearish when price is currently trading below it.
This is not a trade signal by itself, it is a state cue for “which side is in control around the level.”
3) Failed escape highlighting
If price attempts to break above the band and fails, the border temporarily highlights as a failed up escape.
If price attempts to break below the band and fails, the border temporarily highlights as a failed down escape.
These are the moments where pin behavior is most visible:
Break attempt.
Immediate rejection.
Return to the band.
4) Midline (optional)
The zone midline is the strike-like level itself.
It is dotted to distinguish it from price structure lines.
5) Optional strike ladder overlay
When enabled, the script draws major and minor ladder lines near current price.
Major levels are thicker and less transparent.
This is a visualization aid for “where the algorithm is rounding,” not a prediction tool.
On-chart text readout (what the box text means)
Each box prints a compact state summary, designed for fast scanning:
Γ CANDIDATE means the zone is being tracked but not yet validated.
Γ FLIP (PROXY) means the zone has met confirmation requirements.
BULL/BEAR indicates which side price is on relative to the mid-level.
L prints the level value.
T is touch count, repeated proximity events.
F is fail count, rejected escape attempts.
IVz is the volatility proxy z-score at the moment.
ADX is the trend strength context.
Practical use cases
1) Pinning and range trading context
Confirmed zones often act like gravity wells in sideways or rotational regimes.
When price repeatedly fails to escape, fading outer edges can be reasonable context for mean reversion workflows.
2) Breakout validation
If price achieves acceptance outside the band for multiple bars, that is stronger breakout context than a single wick.
Zones that invalidate cleanly can mark transitions from pinning to directional move.
3) Time your “do nothing” periods
When Pin Regime is active and a zone is confirmed, the tape often becomes sticky and inefficient for trend chasing.
This helps avoid taking trend entries into a pin environment.
Alerts
Standalone alertconditions are included:
Zone Confirmed : a candidate becomes confirmed.
Zone Touch : price touches an active zone within tolerance.
Zone Invalidated : the zone loses relevance and is removed.
Tuning guidelines
Sensitivity vs quality
Lower Touches Needed and Failed Escapes Needed creates more zones faster, but with lower quality.
Higher values create fewer zones, but the ones that remain are more behaviorally “proven.”
Band width
ATR mode adapts to volatility and is typically safer across assets.
Percent mode is consistent visually but can feel too tight in high vol or too wide in low vol if not tuned.
Regime thresholds
If you want fewer zones, raise IV proxy threshold and tighten weak-trend filters.
If you want more zones, lower IV proxy threshold and loosen weak-trend filters.
Limitations
This is a proxy model, not live options gamma.
In strong trends, pinning assumptions can break, the regime filter is there to reduce that risk, but not eliminate it.
Auto strike step is designed for typical market ranges, manual step is recommended for niche tick sizes or custom markets.
Disclaimer
Educational and informational only, not financial advice.
Not a complete trading system.
Always validate settings per asset and timeframe.
ICT Concepts [Kodexius]ICT Concepts is an all in one, chart overlay toolkit that combines several widely used ICT style components into a single, modular workflow. It is designed to help you map higher timeframe context, track directional structure, and refine execution areas with imbalance and liquidity concepts, without turning the chart into a cluttered drawing board.
Instead of plotting everything indefinitely, each module focuses on “live relevance” and chart readability. Zones, lines, and labels are managed with sensible limits so the most recent and most meaningful structures remain visible while older objects are automatically retired.
Because the system is modular, you can run it like a complete toolkit:
- Use multi timeframe Order Blocks to define high probability zones
- Use Market Structure (BOS and MSS) for bias and context
- Validate intent with SMT Divergence when you want intermarket confirmation
- Refine with Imbalances (FVG, BPR, CE) and Liquidity Sweeps
- Add timing structure via Killzones and risk structure via auto Fibonacci
🔹 Features
🔸 Multi Timeframe Order Blocks (3 candle displacement OB)
The OB engine detects a strict 3 candle displacement sequence (bull and bear) and projects the “order block candle” as a forward extending zone. Detection can run on the chart timeframe or on a user selected higher timeframe and then be displayed on your execution chart.
🔸 Overlap Control
Before adding a new OB, the script checks overlap against existing zones of the same direction. If a new zone intersects an existing one, it is ignored to reduce redundant stacking in the same price area.
🔸 Automatic Extension and Mitigation for Order Blocks
OB zones extend forward on every bar and are removed once mitigation is confirmed. Mitigation is evaluated by close breaking decisively beyond the relevant boundary:
- Bullish OB mitigates when close prints below the OB bottom
- Bearish OB mitigates when close prints above the OB top
🔸 Market Structure (BOS and MSS)
Market Structure is built from swing pivots using a configurable pivot length. When price closes through the latest swing, the script prints a structure event:
BOS (Break of Structure) for continuation
MSS (Market Structure Shift) for a directional change
To keep the chart readable, older structure drawings are capped by history limits.
🔸 SMT Divergence with optional mini panel
SMT can compare the current instrument with a user selected symbol to highlight divergence at swing points. A divergence is flagged when one market makes a new swing extreme while the other fails to confirm.
Optional: a compact right side “compare symbol” candle panel can be enabled so you can visually confirm what the secondary market is doing without leaving the chart.
🔸 Imbalances: FVG, BPR, and CE modes
You can choose between three imbalance views depending on your style:
FVG mode: Fair Value Gaps are plotted as extending zones
CE mode: Consequent Encroachment is visualized using a midpoint line and a half zone fill
BPR mode: Balanced Price Range is formed when a new FVG overlaps an opposing FVG, producing a “balanced” region that often behaves differently than a standalone gap
🔸 Automatic extension, limits, and mitigation for imbalances
Imbalance objects extend forward until mitigated. Mitigation uses wick based logic:
Bullish imbalance mitigates when price wicks below the zone bottom
Bearish imbalance mitigates when price wicks above the zone top
The script also enforces per side limits and removes older items to keep performance stable.
🔸 Liquidity sweeps (buyside and sellside)
The liquidity module tracks swing highs and lows and marks sweep events when price runs the level and then closes back through it, which often behaves like a rejection signal. Sweeps are visualized with a level line plus a small sweep highlight box, with an optional history cap.
🔸 Auto anchored Fibonacci (EQ and OTE focus)
Fibonacci levels are automatically anchored using the most recent structure context so you do not need to manually re draw fibs every time the market evolves. EQ and OTE focused bands are plotted to support common premium discount style workflows, with optional extra levels if desired.
🔸 Killzones (session boxes with optional range tracking)
Asian, London Open, New York AM, and New York PM killzones can be displayed using UTC-5 session definitions. Session boxes dynamically expand as new highs and lows are formed during the session, and historical zones can be retained up to a user set count. Rendering is restricted to intraday timeframes up to 60 minutes for clean scaling and performance.
🔹 Calculations
1) Order Block detection (3 candle displacement)
The OB pattern is defined inside detectLogic() . The zone boundaries always come from candle (the middle candle of the 3 candle sequence).
detectLogic() =>
bool isBull = open > close and close > open and close > open and low < low and close > high
bool isBear = open < close and close < open and close < open and high > high and close < low
[isBull, high , low , time , isBear, high , low , time ]
Interpretation (bullish side):
Candle is bearish
Candle is bullish (the OB candle)
Current candle is bullish and closes above high
low undercuts low to form the sweep style condition
Bearish logic is the mirrored inverse.
2) Multi timeframe projection and duplicate control
If the timeframe input is set, detections are computed on that timeframe and projected onto the current chart using request.security . A last processed time check prevents duplicate prints.
=
request.security(syminfo.tickerid, i_tf, detectLogic())
var int lastBullTime = 0
var int lastBearTime = 0
if mtf_isBull and mtf_bullTime != lastBullTime
lastBullTime := mtf_bullTime
if mtf_isBear and mtf_bearTime != lastBearTime
lastBearTime := mtf_bearTime
3) OB overlap validation and mitigation
Overlap is checked before pushing a new zone, then zones are extended and removed once mitigated by close.
method hasOverlap(array OBs, float top, float bottom) =>
bool overlap = false
if OBs.size() > 0
for i = 0 to OBs.size() - 1
OB item = OBs.get(i)
if (top < item.top and top > item.bottom) or (bottom > item.bottom and bottom < item.top)
overlap := true
break
overlap
method isMitigated(OB this, float currentClose) =>
this.isBull ? (currentClose < this.bottom) : (currentClose > this.top)
4) Market Structure: pivots, BOS, and MSS
Swings are derived from pivots; then BOS/MSS prints when price crosses the latest swing. The script tracks trend state to decide whether the break is continuation (BOS) or shift (MSS).
float ph = ta.pivothigh(i_structLen, i_structLen)
float pl = ta.pivotlow(i_structLen, i_structLen)
bool brokenHigh = ta.crossover(close, lastHigh)
bool brokenLow = ta.crossunder(close, lastLow)
// drawStructure(..., "BOS", ...) or drawStructure(..., "MSS", ...) depending on trend state
5) SMT Divergence conditions
SMT uses pivot highs/lows on both instruments. A bearish SMT prints when the main chart makes a higher high but the compare symbol fails to exceed its prior high. A bullish SMT prints when the main chart makes a lower low but the compare symbol fails to make a lower low.
bool bearishSmt = not na(smtAHighPrev) and not na(smtBHighPrev) and (smtAHighLast > smtAHighPrev) and (smtBHighLast <= smtBHighPrev)
bool bullishSmt = not na(smtALowPrev) and not na(smtBLowPrev) and (smtALowLast < smtALowPrev) and (smtBLowLast >= smtBLowPrev)
6) FVG detection, BPR construction, and CE level
FVGs are detected via a classic 3 bar gap condition. When a new FVG overlaps an opposing FVG, the script builds a BPR using the intersecting region. CE is the midpoint (top + bottom) / 2, plotted as a dashed line plus a half fill box.
bool fvgBullDetected = low > high
bool fvgBearDetected = high < low
// CE
float ceLevel = (this.top + this.bottom) / 2
Imbalance mitigation uses wick logic:
method isMitigated(FVG this, float currentHigh, float currentLow) =>
this.isBull ? (currentLow < this.bottom) : (currentHigh > this.top)
7) Liquidity sweep trigger
A sweep is confirmed only when price runs the pivot level and closes back through it (reject style).
bool sweepBull = i_showLiq and not na(liqLastLow) and not liqLastLowSwept and low < liqLastLow and close > liqLastLow
bool sweepBear = i_showLiq and not na(liqLastHigh) and not liqLastHighSwept and high > liqLastHigh and close < liqLastHigh
8) Killzone session mapping
Sessions are defined in UTC-5 using time() session strings.
string kzTz = "UTC-5"
kzInSession(string sess) =>
not na(time(timeframe.period, sess, kzTz))
bool inAsian = kzInSession("2000-0000")
bool inLondon = kzInSession("0200-0500")
bool inNY = kzInSession("0830-1100")
Auto Liquidity Sweep Trendlines With BuySell alerts By V JhaThis automatic trendline system gives buy and sell alerts as well. But you must choose to buy at bottom and sell at top, or in tune with high time frame. This works perfect when used in alignment with HTF.
Points used to draw these trendlines are not ordinary wicks, rather they are liquidity points of huge importance. This trendline system removes any need for mannual tredline drawing.
Yearly Projection ExplorerThis indicator helps you understand how the current market period has behaved historically by overlaying the same date window from previous years and projecting it forward from today’s price.
The script works the following way:
Aligns past years to today’s calendar date
Normalizes all paths to the last close at the start
Projects historical performance X bars forward
Displays each year as a separate performance path
Calculates and plots the mean (average) projection for quick reference
🔧 How It Works
Number of Years: choose how many past years to include (e.g. last 10, 20, or 25 years)
Projection Length: choose how many bars (days) ahead to project
Each line shows how the market moved during the same period in a specific year
Labels show the year and total return at the projection end
The mean line highlights the average historical outcome
🧠 Why This Is Useful
Identify seasonal tendencies
Compare current price action to historical analogs
Visualize best / worst historical outcomes
Set realistic expectations for short-term moves
Add context to discretionary or systematic decisions
This tool does not predict the future, but it provides a powerful historical framework to assess what has been typical, rare, or extreme for the current market window.
⚠️ Notes
Script works on timenow variable for now, and you might see unexpected periods if today is a day off.
Results depend on the selected timeframe and instrument
Past performance is not a guarantee of future results
Designed for analysis and context, not standalone signals
Harmonic Liquidity Waves [JOAT]Harmonic Liquidity Waves
Overview
Harmonic Liquidity Waves is an open-source oscillator indicator that combines multiple volume-based analysis techniques into a unified liquidity flow framework. It integrates VWAP calculations, Chaikin Money Flow (CMF), Money Flow Index (MFI), and Klinger Volume Oscillator (KVO) with custom harmonic wave calculations to provide a comprehensive view of volume dynamics and money flow.
What This Indicator Does
The indicator calculates and displays:
Liquidity Flow - Volume-weighted price movement accumulated over a lookback period
Harmonic Wave - Multi-depth smoothed oscillator derived from liquidity flow
Chaikin Money Flow (CMF) - Classic accumulation/distribution indicator
Money Flow Index (MFI) - Volume-weighted RSI showing buying/selling pressure
Klinger Volume Oscillator (KVO) - Trend-volume relationship indicator
Wave Interference - Combined constructive/destructive wave patterns
Volume Profile POC - Point of Control from simplified volume distribution
How It Works
The core liquidity flow calculation tracks volume-weighted price changes:
calculateLiquidityFlow(series float vol, series float price, simple int period) =>
float priceChange = ta.change(price)
float volumeFlow = vol * math.sign(priceChange)
// Accumulated over period using buffer array
float avgFlow = flowSum / period
avgFlow
The harmonic oscillator applies multi-depth smoothing:
harmonicOscillator(series float flow, simple int depth, simple int period) =>
float harmonic = 0.0
for i = 1 to depth
float wave = ta.ema(flow, period * i) / i
harmonic += wave
harmonic / depth
CMF measures accumulation/distribution using the Money Flow Multiplier:
float mfm = ((close - low) - (high - close)) / (high - low)
float mfv = mfm * vol
float cmf = ta.sum(mfv, period) / ta.sum(vol, period) * 100
Signal Generation
Liquidity shift signals occur when:
Bullish Shift: Smoothed wave crosses above signal line
Bearish Shift: Smoothed wave crosses below signal line
Strong signals require volume indicator confirmation:
Strong Bull: Bullish shift + CMF > 0 + MFI > 50 + KVO > 0
Strong Bear: Bearish shift + CMF < 0 + MFI < 50 + KVO < 0
Divergence detection compares price pivots with liquidity wave pivots to identify potential reversals.
Dashboard Panel (Bottom-Right)
Wave Strength - Normalized wave magnitude
Volume Pressure - Current volume vs average percentage
Flow Direction - BUYING or SELLING based on wave sign
Histogram - Wave minus signal line value
CMF - Chaikin Money Flow reading
MFI - Money Flow Index value (0-100)
KVO - Klinger oscillator value
Vol Confluence - Combined volume indicator score
Signal - Current actionable status
Visual Elements
Liquidity Wave - Main oscillator line
Wave Signal - Smoothed signal line for crossover detection
Wave Histogram - Difference between wave and signal
Wave Interference - Area plot showing combined wave patterns
CMF/KVO/MFI Lines - Individual volume indicator plots
Divergence Labels - BULL DIV / BEAR DIV markers
Shift Markers - Triangles for basic shifts, labels for strong shifts
Input Parameters
Wave Period (default: 21) - Base period for liquidity calculations
Volume Weight (default: 1.5) - Multiplier for volume emphasis
Harmonic Depth (default: 3) - Number of smoothing layers
Smoothing (default: 3) - Final wave smoothing period
Suggested Use Cases
Identify accumulation/distribution phases using CMF and wave direction
Confirm momentum with MFI overbought/oversold readings
Watch for divergences between price and liquidity flow
Use strong signals when multiple volume indicators align
Timeframe Recommendations
Best on 15m to Daily charts. Volume-based indicators require sufficient trading activity for meaningful readings.
Limitations
Volume data quality varies by exchange and instrument
Divergence detection uses pivot-based lookback and may lag
Volume Profile POC is simplified and not a full profile analysis
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
Market Entropy [Alpha Extract]A sophisticated information theory-based market analysis system that measures price randomness and structural order using Shannon entropy calculations across price, returns, and volume distributions. Utilizing adaptive percentile-based thresholds and multi-timeframe confirmation, this indicator delivers institutional-grade regime classification distinguishing between structured trending conditions and chaotic ranging environments. The system's composite entropy framework combined with dynamic gradient visualization and MTF alignment validation provides comprehensive market state assessment for optimal strategy selection and risk management.
🔶 Advanced Shannon Entropy Engine
Implements pure information theory methodology using histogram distribution analysis with configurable bin counts to calculate normalized entropy values for price, returns, and volume metrics. The system constructs probability distributions from rolling windows, applies logarithmic entropy calculations, and normalizes against theoretical maximum entropy to produce 0-1 bounded measurements of market randomness and predictability.
float entropy = 0.0
float total = float(len)
for i = 0 to bins - 1
float count = array.get(bin_counts, i)
if count > 0
float prob = count / total
entropy -= prob * math.log(prob) / math.log(2)
float max_entropy = math.log(bins) / math.log(2)
result := entropy / max_entropy
🔶 Adaptive Percentile Threshold System
Features intelligent threshold determination using rolling percentile calculations over configurable calibration periods to establish structure and chaos zones that adapt to changing market characteristics. The system calculates lower percentile for structure threshold (ordered markets) and upper percentile for chaos threshold (random markets), enabling regime classification that adjusts automatically to market evolution.
🔶 Multi-Timeframe Alignment Framework
Implements comprehensive MTF entropy analysis retrieving composite entropy from three configurable higher timeframes with alignment validation logic. The system calculates divergence between current timeframe entropy and higher timeframe values, generating confirmation signals only when all timeframes exhibit entropy agreement within tolerance bands for enhanced signal reliability.
🔶 Three-Regime Classification Engine
Provides sophisticated market state determination classifying conditions as structure (entropy below lower threshold), chaos (entropy above upper threshold), or neutral (entropy between thresholds) with regime strength measurement. The system tracks regime transitions and calculates conviction scores based on distance from thresholds, enabling nuanced assessment of market order versus randomness.
🔶 Composite Entropy Architecture
Combines three distinct entropy measurements weighted by relevance to create unified market randomness metric with exponential smoothing for stability. The system applies 40% weight to price entropy (distribution shape), 35% to return entropy (movement patterns), and 25% to volume entropy (participation randomness), capturing comprehensive market microstructure information.
🔶 Dynamic Gradient Visualization System
Features advanced color blending engine that transitions between primary and secondary colors based on entropy momentum intensity with glow effects for conviction emphasis. The system calculates entropy rate of change, normalizes against recent extremes, and applies smooth color interpolation from secondary to primary hues as momentum intensifies, creating intuitive visual representation of regime strength.
🔶 Intelligent Zone Fill Architecture
Implements multi-layer gradient fills within structure and chaos zones that intensify as entropy moves deeper into extremes, providing immediate visual feedback on regime conviction. The system creates three-tier gradient levels at 33%, 66%, and 100% penetration into zones with progressively lower transparency, emphasizing extreme entropy conditions requiring attention.
🔶 Momentum-Based Divergence Detection
Generates entry signals when entropy crosses below bull divergence level or above bear divergence level, identifying potential regime transitions before price confirmation. The system monitors entropy momentum direction during threshold crossings and validates with MTF alignment, producing high-probability reversal signals at entropy extremes.
🔶 Normalized Display Framework
Provides 0-100 scaled visualization using adaptive min-max normalization calculated from percentile analysis, ensuring consistent visual interpretation across different market conditions and instruments. The system transforms raw composite entropy into normalized space with dynamic thresholds, enabling cross-market and cross-timeframe entropy comparison.
🔶 Regime Strength Measurement
Calculates conviction scores measuring depth of entropy penetration into structure or chaos zones relative to historical ranges, quantifying how definitively current conditions favor trending versus ranging strategies. The system produces 0-1 strength values that modulate visual intensity and can inform position sizing or strategy allocation decisions.
🔶 Performance Optimization Framework
Utilizes efficient array operations with optimized histogram calculations and configurable lookback limits to balance accuracy with computational efficiency. The system includes intelligent caching of percentile calculations and streamlined probability summations for smooth real-time entropy updates across extended historical periods.
🔶 Why Choose Market Entropy ?
This indicator delivers sophisticated market regime analysis through pure information theory methodology measuring actual randomness versus structure in price behavior. Unlike traditional volatility or trend indicators that measure price movement characteristics, Market Entropy quantifies the fundamental predictability of market conditions using Shannon entropy calculations. The system's composite approach combining price, return, and volume distributions with adaptive thresholds, MTF confirmation, and gradient visualization makes it essential for traders seeking objective regime classification to optimize strategy selection. Low entropy (structure zone) indicates ordered, trending conditions favorable for directional strategies, while high entropy (chaos zone) signals random, ranging markets better suited for mean reversion or reduced exposure. The indicator excels at identifying regime transitions before they become obvious in price action across cryptocurrency, forex, and equity markets.
Liquidity Retest Strategy (Apicode) - TP/SL Lines FixedTechnical Documentation:
1. Purpose and underlying concept
This strategy targets a common behavior in liquid markets: liquidity sweeps around meaningful support/resistance levels, followed by a retest and rejection (reversal) with confirmation.
The core thesis is that many initial “breaks” are not continuation moves, but rather stop-runs and order harvesting. After the sweep, price reclaims the level and closes back on the opposite side, offering a structured entry with defined risk.
The strategy includes:
Support/Resistance detection via pivots
Dynamic selection of the “working” level using an ATR-based proximity window
Rejection validation via candle structure (wick + close)
Optional filters: volume, VWAP-like bias, and EMA trend
Risk management with static TP/SL (ATR-based or %), plus trailing stop (ATR-based or %), with per-trade lines plotted
2. Main components
2.1. Volatility metric: ATR
atr = ta.atr(atrLength) is used in two essential places:
Level selection (proximity to S/R): prevents trading levels that are too far from current price.
Sweep validation (minimum wick size): requires the wick to extend beyond the level by a volatility-relative amount.
Optionally, ATR can also be used for:
Static TP/SL (when usePercent = false)
Trailing stop (when useTrailPercent = false)
2.2. Building S/R levels with pivots
Pivots are detected using:
pivotHigh = ta.pivothigh(pivotLookback, rightBars)
pivotLow = ta.pivotlow(pivotLookback, rightBars)
Each confirmed pivot is stored in arrays:
resistanceLevels for resistance
supportLevels for support
The array size is capped by maxLevels, which reduces noise and manages chart resource usage (lines).
2.3. Selecting the “best” level each bar
On each bar, a single support S and/or resistance R candidate is chosen:
Support: nearest level below price (L < price)
Resistance: nearest level above price (L > price)
Only levels within atr * maxDistATR are considered
This produces dynamic “working levels” that adapt to price location and volatility.
2.4. Rejection pattern (retest + sweep)
After selecting the working level:
Support rejection (long setup)
Conditions:
Low touches/crosses support: low <= S
Close reclaims above: close > S
Bullish candle: close > open
Sufficient wick below the level (liquidity sweep): (S - low) >= atr * minWickATR
This aims to capture a stop sweep below support followed by immediate recovery.
Resistance rejection (short setup)
Symmetric conditions:
High touches/crosses resistance: high >= R
Close rejects back below: close < R
Bearish candle: close < open
Sufficient wick above the level: (high - R) >= atr * minWickATR
2.5. Optional filters
Final signals are the rejection pattern AND enabled filters:
1.- Volume filter
High volume is defined as: volume > SMA(volume, 20) * volMult
When useVolFilter = true, setups require relatively elevated participation
2.- VWAP-like bias filter
A VWAP-like series is computed over vwapLength (typical price weighted by volume)
When useVWAPFilter = true:
- Longs only if close > vwap
- Shorts only if close < vwap
3.- EMA trend filter
Uptrend if EMA(fast) > EMA(slow)
When useTrendFilter = true:
- Longs only in uptrend
- Shorts only in downtrend
2.6. Backtest time window (time filter)
To keep testing focused and reduce long-history noise:
useMaxLookbackDays enables the filter
maxLookbackDays defines how many days back from timenow entries are allowed
Entries are permitted only when time >= startTime.
3. Entry rules and position control
3.1. Entries
strategy.entry('Long', strategy.long) when longSetup and no long position is open
strategy.entry('Short', strategy.short) when shortSetup and no short position is open
No pyramiding is allowed (pyramiding = 0). Position gating is handled by:
Long allowed if strategy.position_size <= 0
Short allowed if strategy.position_size >= 0
4. Risk management: TP/SL and trailing (with plotted lines)
4.1. Detecting entry/exit events
Events are identified via changes in strategy.position_size:
LongEntry: transition into a long
shortEntry: transition into a short
flatExit: transition back to flat
This drives per-trade line creation, updates, and cleanup of state variables.
4.2. Static TP/SL
On entry, entryPrice := strategy.position_avg_price is stored.
Percent mode (usePercent = true)
Long:
staticSL = entryPrice*(1 - slPerc/100)
staticTP = entryPrice*(1 + tpPerc/100)
Short:
staticSL = entryPrice*(1 + slPerc/100)
staticTP = entryPrice*(1 - tpPerc/100)
ATR mode (usePercent = false)
Long:
staticSL = entryPrice - atrAtEntry*slATR
staticTP = entryPrice + atrAtEntry*tpATR
Short:
staticSL = entryPrice + atrAtEntry*slATR
staticTP = entryPrice - atrAtEntry*tpATR
4.3. Trailing stop (custom)
While a position is open, the script tracks the most favorable excursion:
Long: hhSinceEntry = highest high since entry
Short: llSinceEntry = lowest low since entry
A trailing candidate is computed:
Percent trailing (useTrailPercent = true)
Long: trailCandidate = hhSinceEntry*(1 - trailPerc/100)
Short: trailCandidate = llSinceEntry*(1 + trailPerc/100)
ATR trailing (useTrailPercent = false)
Long: trailCandidate = hhSinceEntry - atr*trailATR
Short: trailCandidate = llSinceEntry + atr*trailATR
Then the effective stop is selected:
Long: slUsed = max(staticSL, trailCandidate) when useTrail is enabled
Short: slUsed = min(staticSL, trailCandidate) when useTrail is enabled
If useTrail is disabled, slUsed remains the static stop.
Take profit remains static:
tpUsed = staticTP
Exit orders are issued via:
strategy.exit(..., stop=slUsed, limit=tpUsed)
4.4. Per-trade TP/SL lines
On each entry, two lines are created (SL and TP) via f_createLines().
During the trade, the SL line updates when trailing moves the stop; TP remains fixed.
On exit (flatExit), both lines are finalized on the exit bar and left on the chart as historical references.
This makes it straightforward to visually audit each trade: entry context, intended TP, and trailing evolution until exit.
5. Visualization and debugging
BUY/SELL labels with configurable size (xsize)
Debug mode (showDebug) plots the chosen working support/resistance level each bar
Stored pivot levels are drawn using reusable line slots, projected a fixed 20 bars to the right to keep the chart readable and efficient
6. Parameter guidance and practical notes
pivotLookback / rightBars: controls pivot significance vs responsiveness. Lower rightBars confirms pivots earlier but can increase noise.
maxDistATR: too low may reject valid levels; too high may select distant, less relevant levels.
minWickATR: key quality gate for “real” sweeps. Higher values reduce frequency but often improve signal quality.
Filters:
Volume filter tends to help in ranges and active sessions.
VWAP bias is useful intraday to align trades with session positioning.
EMA trend filter is helpful in directional markets but may remove good mean-reversion setups.
Percent TP/SL: provides consistent behavior across assets with variable volatility, but is less adaptive to sudden regime shifts.
Percent trailing: can capture extensions well; calibrate trailPerc per asset/timeframe (too tight = premature exits).
7. Known limitations
Pivot-derived levels are a heuristic; in strong trends, valid retests may be limited.
The time filter uses timenow; behavior may vary depending on historical context and how the platform evaluates “current time.”
TP/SL and trailing are computed from bar OHLC; in live trading, intrabar sequencing and fills may differ from bar-close simulation.
Proactive Execution MachineProactive Execution Machine: Multi-State Momentum Engine
Overview
The Proactive Execution Machine is a comprehensive trading workspace designed to filter market noise and highlight high-probability execution windows. It combines Dynamic Supply/Demand Zones, Manual Level Proximity, and a proprietary Dual-Candle Momentum Scoring system to categorize the market into specific "States" in real-time.
Instead of a simple arrow, this script provides a System Status dashboard that tells you exactly what phase the market is in—whether it's "Level Absorption," a "Demand Vortex," or a "Tired Trend. "Core Components
1. The Momentum Gauge (Bottom Left)
This table provides a deep-dive into order flow by scoring the last two candles based on:
Close Location: Where price closed relative to its range (Upper, Middle, Lower).
Body-to-Wick Ratio: Measuring the "effort vs. result" of the move.
Range Relativity: Whether the current bar is an "Inside" or "Outside" bar relative to the previous candle.
Slope (Linear Regression): A real-time trendline of momentum strength to see if conviction is accelerating or decelerating.
2. Dynamic State Engine The script automatically identifies and colors the chart into three primary zones:
Supply Zone (Red): The upper 30% of the recent price discovery range.
Demand Zone (Green): The lower 30% of the recent price discovery range.
Proximity Zones: When price nears your Manual Levels (PDH, PDL, NY Open, etc.), the engine switches priority to monitor for "Breakouts" or "Level Attacks."
3. System Status (Bottom Right)The dynamic HUD changes size and color based on conviction levels. It will notify you of specific market conditions:
Supply/Demand Overrun: When momentum is so strong it is smashing through reversal zones. Level Absorption/Stalling: When price reaches a key level but momentum has "flattened," suggesting a potential reversal or high-volume churn.
Buy/Sell Now: High-conviction signals triggered only when Location (Zone) and Momentum (Score) align.
How to Trade with the "Machine"
For Trend Followers: Look for the status "TREND (ACTIVE)" combined with a Momentum Score of $\pm 4$ or higher.
For Reversion Traders: Watch for "WATCH LONGS/SHORTS" when price enters a Supply or Demand zone. Wait for the status to flip to "BUY/SELL NOW" as momentum begins to shift back toward the mean.
For Level Traders: Input your daily levels (VAH, VAL, POC) in the settings. The machine will automatically prioritize these levels, changing status to "AT LEVEL" the moment price enters your specified proximity.
Key Settings
Manual Levels: Input up to 5 custom price levels for the proximity engine.
Proximity Sensitivity: Adjust how close price must be to a level (in points/pips) to trigger an "At Level" state.
Aggression (1-5): Tuning the pivot detection. Lower numbers respond faster to micro-structure; higher numbers focus on major swing points.
Visual Coding
Candle bodies are colored to assist with single candle pattern detection:
Lime/Pink Bar Highlights: The script uses a custom color engine to highlight "Shaved" (Marubozu) bars.
Lime indicates aggressive bullish conviction, while Pink (Fuchsia) highlights aggressive bearish conviction.
Green indicates bull engulfing candle
Red indicates bear engulfing candle
Orange is an outside bar
Yellow an inside bar
Gray a Doji bar
Black all other bars
Dynamic Zones: The chart features two primary background areas:
Red Zone (Top): The Supply Zone, identifying where sellers historically reclaim control.
Green Zone (Bottom): The Demand Zone, identifying where buyers historically step in.
System Status HUD (Bottom Right): This is the "brain" of the machine. The text size is adjusted to attract the trader's attention when the slope of the momentum increases above 5 (bullish expansion) or greater than - 5 (Bearish expansion). The system status changes color based on the market state too:
HUD Coloring:
Aqua: Active Bullish Trend.
Gray: Bull trend tired.
Orange: Active Bearish Trend.
Gray: Bear trend tired.
Red: For sell now.
Green: For buy now.
Lime: Bull price level under attack.
Marron: Bear price level under attack.
Gray: Price level absorption.
Yellow: Price at level and stalling.
Maroon: An "Overrun" or "Vortex" where price is smashing through supply/demand with extreme momentum.
The text size serves as a "Volatility Alarm." * When the text is Small, the market is in a "sideways" or "absorbing" state. You should be cautious about entering new trend trades.
When the text is Large, the Machine has detected that "Aggressive" participants have entered the order flow. This is your cue that a "Level Attack" or a "Trend Breakout" is currently in progress.
The 1-Minute Tactical Setup Guide:
Proactive Execution Machine Operating on the 1-minute (1m) timeframe requires a balance between speed and noise filtration. Because the Proactive Execution Machine uses a "State Engine" logic, it is uniquely suited for the high-velocity environment of the NY Open.
I follow these three tactical steps to optimize the chart for the 1m timeframe:
Step 1: Calibrate the "Proximity Sensitivity" On a 1m chart, a "Level" isn't a single price—it's a zone.
Adjustment: In the script settings, set your Proximity Sensitivity to a value that represents the average "noise" of your instrument.
For ES (S&P 500 Futures): 1.5 to 2.5 points.
For NQ (Nasdaq Futures): 5 to 10 points.
For Forex (EURUSD): 1 to 2 pips.
The Goal: You want the "AT LEVEL" status to trigger just as price is "sniffing" the level, giving you time to prepare your order before the touch.
Step 2: Watch the "History" Column in the Momentum Gauge
The bottom-left table is your most important tool for the 1m chart. It shows you the momentum of the last three bars ($T-0$, $T-1$, $T-2$).
Momentum Sequence: Look for a "Sequence of Three." If you see $T-2$ (Neutral), $T-1$ (Long), and $T-0$ (STR Long), you have a momentum explosion.
The Trap: If you see STR LONG followed immediately by a NEUTRAL bar while in a Supply Zone, the "Machine" will shift to "SUPPLY STALLING." This is your signal to tighten your trailing stop or take profit—it means the bulls are hitting a wall of sell orders.
Step 3: The "Level Attack" Execution
The script features a unique state called "LEVEL ATTACK." This is designed specifically for breakout/breakdown traders.
The Setup: Price is approaching a Manual Level (like the NY Open or PDH).
The Signal: If the status changes to "LEVEL ATTACK (BULL)," it means the momentum score is high ($>3$) and the slope is positive while within the proximity of the level.
The Action: This is a "Proactive" entry. Instead of waiting for the candle to close above the level, you are entering as the "Machine" detects institutional pressure "attacking" the level.
Daily Routine for the "Machine"
1) 09:25 AM: Input your 5 manual levels (PDH, PDL, NY Open, VAH, VAL).
2) 09:30 AM: Wait for the first 5 minutes of volatility to settle.
3) The Window: Look for the System Status to move from "IDLE" to a colored state.
4) The Trigger: Never take a signal if the Momentum Gauge is in the "Neutral" (Yellow) zone. Only execute when the gauge shows LONG/SHORT or STR LONG/STR SHORT.
Hero Zero+ Gamma (False Breakout Filter)Hero Zero – EMA + VWAP + Gamma (Strong Candle)
Purpose:
This script is designed to capture high-momentum intraday moves (Gamma Blasts / Hero Zero trades) by combining:
Trend strength (EMA stack)
Institutional reference (VWAP)
Momentum candle quality (Full Body / Marubozu)
Participation confirmation (Volume burst – OI proxy)
It avoids weak breakouts and focuses only on decisive price expansion candles.
1️⃣ EMA STRUCTURE – TREND FILTER
emaFast = ta.ema(close, 9)
emaMid = ta.ema(close, 20)
emaSlow = ta.ema(close, 50)
📈 Why EMAs?
EMAs react faster to price → ideal for intraday momentum
The script uses EMA stacking, not just crossovers
Bullish EMA Stack
emaFast > emaMid > emaSlow
✔ Indicates strong uptrend
✔ Buyers are in control across short, medium & intraday timeframes
Bearish EMA Stack
emaFast < emaMid < emaSlow
✔ Indicates strong downtrend
✔ Sellers dominate
🔒 No EMA stack = no trade
This removes sideways and choppy markets.
2️⃣ VWAP – INSTITUTIONAL BIAS
vwapVal = ta.vwap(hlc3)
Why VWAP?
Used by institutions, algos, prop desks
Acts as a fair value line
Conditions
Bullish trade: close > VWAP
Bearish trade: close < VWAP
📌 This ensures:
You trade with smart money
You avoid mean-reversion traps
3️⃣ VOLUME BURST – GAMMA / OI PROXY
avgVol = ta.sma(volume, 20)
volBurst = volume > avgVol * 1.5
What this represents
Sudden increase in participation
Acts as a proxy for OI build-up / Gamma activity
✔ No volume = no follow-through
✔ Volume burst confirms real interest, not fake moves
4️⃣ STRONG CANDLE LOGIC – CORE EDGE 🔥
Candle Anatomy
bodySize = abs(close - open)
upperWick = high - max(close, open)
lowerWick = min(close, open) - low
A) FULL BODY CANDLE
Meaning:
Price moves strongly in one direction with minimal rejection.
Bullish Full Body
bodySize > upperWick
✔ Buyers pushed price up and held it
Bearish Full Body
bodySize > lowerWick
✔ Sellers dominated without pullback
B) MARUBOZU CANDLE (Institutional Candle)
upperWick <= mintick*2
lowerWick <= mintick*2
✔ Almost no wicks
✔ Pure aggression
✔ Typically seen during:
Option Gamma expansion
Index hero moves
Breakout candles
C) STRONG CANDLE (Final Filter)
Strong Candle = Full Body OR Marubozu
📌 This is powerful because:
Full Body → strong but normal momentum
Marubozu → explosive institutional move
Weak candles are fully filtered out.
5️⃣ HERO ZERO (GAMMA BLAST) CONDITIONS
Bullish Gamma Blast
EMA Stack + Price above VWAP +
Strong Bull Candle + Volume Burst
Bearish Gamma Blast
EMA Stack + Price below VWAP +
Strong Bear Candle + Volume Burst
💥 When all align → probability spike
💥 Designed for fast 1–3 candle expansion
6️⃣ SIGNAL VISUALS
Green “GAMMA BUY” → below candle
Red “GAMMA SELL” → above candle
EMAs + VWAP plotted for context
Signals are rare but high-quality.
7️⃣ ALERT SYSTEM
alertcondition(bullGamma)
alertcondition(bearGamma)
✔ Use for:
Bank Nifty / Nifty
Option buying
Scalping during power hours
8️⃣ BEST USAGE (IMPORTANT)
✅ Recommended Timeframes
3-min → Best balance
5-min → Safer
1-min → Aggressive scalping only
✅ Best Time Window (IST)
9:20 – 11:00 AM
2:30 – 3:15 PM (Hero Zero zone)
9️⃣ WHAT THIS SCRIPT AVOIDS ❌
Sideways chop
Low volume traps
Wicky fake breakouts
EMA crossover noise
🧠 TRADER MINDSET
This is not a signal-spamming indicator.
It is a confirmation engine for:
Index options
Momentum scalps
Gamma expansion trades
Marubozu Detector**Marubozu Detector (v6)**
This indicator identifies **Marubozu candles** — powerful candlestick patterns indicating strong directional momentum with minimal or no shadows (wicks).
A **Bullish Marubozu** (green) shows buyers dominated the session: open ≈ low, close ≈ high.
A **Bearish Marubozu** (red) shows sellers in control: open ≈ high, close ≈ low.
Unlike strict detectors, this version allows customizable tolerance for tiny shadows, making it practical for real markets where perfect Marubozu are rare.
**Key Features**
- **Adjustable tolerance**: Max shadow % of candle range (default 5%).
- **Minimum body size**: Requires body ≥ % of range (default 90%) to filter small candles.
- **Clear labels**: "BULL MARU" below bullish, "BEAR MARU" above bearish.
- **Alerts**: Built-in conditions for Bullish/Bearish Marubozu on any timeframe.
- **Pine Script v6**: Fully compatible with the latest version for optimal performance.
**How to Use**
1. Add to chart via Indicators > Community Scripts.
2. Customize inputs: Lower tolerance for stricter detection, higher for more signals.
3. Combine with trend tools (e.g., EMA, support/resistance) for better entries/exits.
- Bullish Marubozu in uptrend → potential continuation long.
- Bearish Marubozu in downtrend → potential short.
**Why Marubozu?**
These candles signal strong conviction and often precede continuations or reversals. This detector helps spot them quickly without manual scanning.
Open-source under Mozilla Public License 2.0. Feel free to modify!
If you find it useful, please like/boost/favorite! Feedback welcome.
© toppermost
Advanced algo [For Indian market]🙏 Gratitude to the TradingView Community
Before anything else, I would like to sincerely thank the TradingView community. I have learned immensely from the shared ideas, scripts, and discussions here over time. This indicator is my small way of giving back to the community that has helped me grow as a trader and developer.
📌 Indicator Overview
Advanced Algo is a non-repainting, rule-based trading indicator designed primarily for Indian indices and stocks, while remaining equally effective on other liquid instruments.
The script focuses on clean trend identification, disciplined entries, and well-defined risk management, making it suitable for intraday as well as positional analysis depending on the timeframe used.
✅ Key Highlights
100% Non-Repainting Logic
All signals are generated only after bar confirmation using a delay mechanism, ensuring reliability and backtesting accuracy.
Clear BUY / SELL Signals
Signals are plotted only on trend reversals, avoiding noise and repeated entries.
Automatic TP & SL Levels
Entry, Take-Profit, and Stop-Loss levels are calculated at the time of trade entry and remain fixed throughout the trade.
Intrabar TP / SL Detection
Profit targets and stop-losses are detected as soon as price touches them, providing realistic trade behavior.
Visual Risk-Reward Zones
Entry, TP, and SL lines with color-filled zones make trade structure easy to read at a glance.
Built-in Statistics Table
Displays Buy TP, Sell TP, Buy SL, and Sell SL counts for quick performance tracking.
⚙️ Logic (Brief & High-Level)
A smoothed range-based trend filter is used to identify directional bias.
Consecutive directional strength confirms trend continuation.
BUY or SELL signals are generated only when the trend state flips, reducing false signals.
A delay offset is applied to ensure non-repainting behavior.
Once a trade is triggered:
Entry is fixed
TP and SL are calculated using user-defined percentages
No new trade is allowed until the current trade exits or reverses
🟢 BUY / 🔴 SELL Logic (Brief)
BUY Signal
Triggered when price confirms a bullish trend shift after a bearish phase.
SELL Signal
Triggered when price confirms a bearish trend shift after a bullish phase.
Only one trade is active at a time to maintain clarity and discipline.
🎯 Take-Profit & 🛑 Stop-Loss
TP & SL are percentage-based and configurable via inputs.
Levels are calculated at entry and do not trail or repaint.
TP and SL exits are marked clearly on the chart with labels.
Trades are force-reset before allowing a new entry.
🔔 Alerts Included
Built-in alerts are available for:
Long Entry
Short Entry
Long Exit (TP / SL)
Short Exit (TP / SL)
These alerts can be easily connected to automation or webhook-based execution systems.
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only.
It is not financial advice. Trading in stocks, indices, and derivatives involves risk, and past performance does not guarantee future results.
Always:
Use proper risk management
Confirm signals with additional analysis
Test thoroughly before using in live markets
The author is not responsible for any financial losses incurred while using this script.
⭐ If you find this indicator useful, your feedback and support are always appreciated.
Happy trading and all the best!
Auto Liquidity Sweep Trendlines with automation feature by V JhaThis is not an ordinary trendline, in fact high impact ones, passing through liquidity points of huge significance.
In setting of indicator you can choose to have multiple consecutive buys or sells for delayed entry. For automation you can deselect this option so that you get single buy or sell.
What is more, for Green and Red lines you can choose different bars. For instance if htf trend is bearish choose 14 bars for red, so you need to sell on rise therefore make 1 bar for green. Similar for opposite.
You will have an awe feeling for sure. Enjoy Trading.
