Indicator
Zig Zag ++ SG (Premium)🔥 Zig Zag ++ SG
Professional Market Structure & Cycle Analyzer
Zig Zag ++ SG is an advanced, research-grade market structure indicator built on top of a refined ZigZag engine, designed for traders and investors who want to understand price cycles, not chase candles.
This is not a buy-sell arrow tool.
It is a decision-support system used to analyze trend strength, exhaustion, pullback depth, and cycle behavior across any market and timeframe.
🧠 What Makes Zig Zag ++ SG Different?
Most ZigZag indicators only draw lines.
Zig Zag ++ SG answers the real questions:
Is the trend getting stronger or weaker?
Are higher highs still meaningful?
How deep are pullbacks in percentage terms?
Which stocks recover fast vs stay weak?
Is this accumulation, distribution, or reversal?
It does this by combining:
Market Structure (HH / HL / LH / LL)
Consecutive structure counting
Gain & fall percentage per swing
Clean visual logic (no repaint confusion)
📌 Core Features
✅ 1. Automatic Market Structure Detection
Labels every major swing as:
HH – Higher High
HL – Higher Low
LH – Lower High
LL – Lower Low
This instantly shows whether the market is:
Trending
Consolidating
Distributing
Reversing
✅ 2. Consecutive Structure Count (ON by default)
Each structure type is counted sequentially:
HH (1), HH (2), HH (3)…
HL (1), HL (2)…
This reveals:
Trend maturity
Exhaustion zones
Early breakdown warnings
Example:
HH (4) = trend may be overextended
HL (3) = healthy trend continuation
✅ 3. Gain & Fall % on Every Swing (ON by default)
Every HH, HL, LH, LL shows:
Exact % move from the previous pivot
This allows you to:
Compare pullback depth across stocks
Identify leaders (shallow HLs)
Spot weak stocks (deep HLs / LHs)
Study cycle symmetry
Example label:
HL (2)
-6.4%
✅ 4. Clean, Readable Visual Design
🟩 Green labels → White text
🟥 Red labels → High-contrast white text
Optional background trend shading (OFF by default)
Works perfectly in dark & light mode
Designed for long chart study sessions, not flashy screenshots.
✅ 5. Safe Repaint Logic (Transparent by Design)
Uses ZigZag logic intentionally
No fake “non-repainting” claims
Ideal for analysis, research & planning
What you see is structurally correct
This indicator is for thinking traders, not signal chasers.
⚙️ Best Settings (Recommended)
🔹 Intraday Trading
Timeframe: 5m / 15m
Depth: 8–10
Deviation: 3–5
Backstep: 2
🔹 Swing Trading (Most Popular)
Timeframe: Daily
Depth: 12–15
Deviation: 5
Backstep: 2
🔹 Long-Term / Investing
Timeframe: Weekly
Depth: 15–20
Deviation: 5–8
Backstep: 3
💡 Tip:
Lower depth = more swings
Higher depth = cleaner, major cycles
📈 How to Use Zig Zag ++ SG (Practically)
🔹 Trend Strength
HH (3+) + HL (2–3)
→ Strong, healthy trend
🔹 Exhaustion Warning
HH (4+)
→ Risk of distribution or slowdown
🔹 Pullback Quality
HL −3% to −7%
→ Strong stock
HL −12% to −20%
→ Weak hands / fragile trend
🔹 Reversal Confirmation
LH followed by LL (2+)
→ Trend change likely
🧪 Who Is This Indicator For?
✅ Swing traders
✅ Positional traders
✅ Long-term investors
✅ Market structure students
✅ Stock researchers
✅ Anyone tired of noisy indicators
❌ Not for:
People wanting instant buy/sell arrows
Scalpers chasing 1-minute signals
“Magic indicator” seekers
💎 Why This Is Worth Purchasing
Built with Pine Script v6 best practices
Solves real market questions
Helps avoid:
Buying late
Selling early
Holding weak stocks too long
Encourages process-driven trading
One-time learning tool you’ll use for years
Most traders lose money not because of entries —
but because they misread structure and cycles.
Zig Zag ++ SG fixes that. Indicator
Swing High/Low Pivots Strategy [LV]The Swing High/Low Pivots Strategy was developed as a counter-momentum trading tool.
The strategy is suitable for any market and the default values used in the input settings menu are set for Bitcoin (best on 15min). These values, expressed in minimum ticks (or pips if symbol is Forex) make this tool perfectly adaptable to every symbol and/or timeframe.
Check tooltips in the settings menu for more details about every user input.
STRTEGY ENTRY & EXIT MECHANISMS:
Trades Entry based on the detection of swing highs and lows for short and long entries respectively, validated by:
- Limit orders placed after each new pivot level confirmation
- Moving averages trend filter (if enabled)
- No active trade currently open
Trades Exit when the price reaches take-profit or stop-loss level as defined in the settings menu. A double entry/second take-profit level can be enabled for partial exits, with dynamic stop-loss adjustment for the remaining position.
Enhanced Trade Precision:
By limiting entries to confirmed swing high (HH, LH) or swing low (HL, LL) pivot points, the strategy ensures that trades occur at levels of significant price reversals. This precision reduces the likelihood of entering trades in the midst of a trend or during uncertain price action.
Risk Management Optimization:
The strategy incorporates clearly defined stop-loss (SL) and take-profit (TP) levels derived from the pivot points. This structured approach minimizes potential losses while locking in profits, which is critical for consistent performance in volatile markets.
Trend Filtering for Better Entry:
The use of a configurable moving average filter adds a layer of trend validation. This prevents entering trades against the dominant market trend, increasing the probability of success for each trade.
Avoidance of Noise:
The lookback period (length parameter) confirms pivots only after a set number of bars, effectively filtering out market noise and ensuring that entries are based on reliable, well-defined price movements.
Adaptability Across Markets:
The strategy is versatile and can be applied across different markets (Forex, stocks, crypto) due to its dynamic use of ticks and pips converters. It adapts seamlessly to varying price scales and asset types.
Dual Quantity Entries:
The original and optionnal double-entry mechanism allows traders to capture both short-term and extended profits by scaling out of positions. This adaptive approach caters to varying risk appetites and market conditions.
Clear Visualization:
The plotted pivot points, entry limits, SL, and TP levels provide visual clarity, making it easy for traders to track the strategy's behavior and make informed decisions.
Automated Execution with Alerts:
Integrated alerts for both entries and exits ensure timely actions without the need for constant market monitoring, enhancing efficiency. Configurable alert messages are suitable for API use.
Any feedback, comments, or suggestions for improvement are always welcome.
Hope you enjoy!
Strategy
lib_pivotLibrary "lib_pivot"
Object oriented implementation of Pivot methods.
method tostring(this)
Converts HLData to a json string representation
Namespace types: HLData
Parameters:
this (HLData) : HLData
Returns: string representation of Pivot
method tostring(this, date_format)
Namespace types: Pivot
Parameters:
this (Pivot)
date_format (simple string)
method tostring(this, date_format)
Namespace types: Pivot
Parameters:
this (Pivot )
date_format (simple string)
method get_color(this, mode)
Namespace types: PivotColors
Parameters:
this (PivotColors)
mode (int)
method get_label_text(this)
Namespace types: Pivot
Parameters:
this (Pivot)
method direction(this)
Namespace types: Pivot
Parameters:
this (Pivot)
method same_direction_as(this, other)
Namespace types: Pivot
Parameters:
this (Pivot)
other (Pivot)
method exceeds(this, price)
Namespace types: Pivot
Parameters:
this (Pivot)
price (float)
method exceeds(this, other)
Namespace types: Pivot
Parameters:
this (Pivot)
other (Pivot)
method exceeded_by(this, price)
Namespace types: Pivot
Parameters:
this (Pivot)
price (float)
method exceeded_by(this, other)
Namespace types: Pivot
Parameters:
this (Pivot)
other (Pivot)
method retracement_ratio(this, lastPivot, sec_lastPivot)
Namespace types: Pivot
Parameters:
this (Pivot)
lastPivot (Pivot)
sec_lastPivot (Pivot)
ratio_target(sec_lastPivot, lastPivot, target_ratio)
Parameters:
sec_lastPivot (Pivot)
lastPivot (Pivot)
target_ratio (float)
method update(this, ref_highest, ref_lowest)
Namespace types: HLData
Parameters:
this (HLData)
ref_highest (float)
ref_lowest (float)
method update(this, bar_time, bar_idx, price, prev)
Namespace types: Pivot
Parameters:
this (Pivot)
bar_time (int)
bar_idx (int)
price (float)
prev (Pivot)
method create_next(this, bar_time, bar_idx, price)
Namespace types: Pivot
Parameters:
this (Pivot)
bar_time (int)
bar_idx (int)
price (float)
HLData
HLData wraps the data received from ta.highest, ta.highestbars, ta.lowest, ta.lowestbars, as well as the reference sources
Fields:
length (series int) : lookback length for pivot points
highest_offset (series int) : offset to highest value bar
lowest_offset (series int) : offset to lowest value bar
highest (series float) : highest value within lookback bars
lowest (series float) : lowest value within lookback bars
new_highest (series bool) : update() will set this true if the current candle forms a new highest high at the last (current) bar of set period (length)
new_lowest (series bool) : update() will set this true if the current candle forms a new lowest low at the last (current) bar of set period (length)
new_highest_fractal (series bool) : update() will set this true if the current candle forms a new fractal high at the center of set period (length)
new_lowest_fractal (series bool) : update() will set this true if the current candle forms a new fractal low at the center of set period (length)
PivotColors
Pivot colors for different modes
Fields:
hh (series color) : Color for Pivot mode 2 (HH)
lh (series color) : Color for Pivot mode 1 (LH)
hl (series color) : Color for Pivot mode -1 (HL)
ll (series color) : Color for Pivot mode -2 (LL)
Pivot
Pivot additional pivot data around basic Point
Fields:
point (Point type from robbatt/lib_plot_objects/5)
mode (series int) : can be -2/-1/1/2 for LL/HL/LH/HH
price_movement (series float) : The price difference between this and the previous pivot point in the opposite direction
retracement_ratio (series float) : The ratio between this price_movement and the previous
prev (Pivot) Library
lib_trackingLibrary "lib_tracking"
tracking highest and lowest with anchor point to track over dynamic periods, e.g. to track a Session HH/LL live and get the bar/time of the LTF wick that matches the HTF HH/LL
// DESIGN DECISION
// why anchored replacements for ta.highest / ta.highestbars / ta.lowest / ta.lowestbars:
// 1. they require a fixed length/lookback which makes it easier to calculate, but
// 2. this prevents us from tracking the HH/LL of a changing timeframe, e.g. live tracking the HH/LL of a running session or unfinished higher timeframe
// 3. tracking with anchor/start/reset flag allows to persist values until the next start/reset, so no other external storage is required
track_highest(value, reset, track_this_bar)
Parameters:
value (float)
reset (bool) : boolean flag to restart tracking from this point (a.k.a anchor)
track_this_bar (bool) : allows enabling and disabling of tracking, e.g. before a session starts or after it ends, values can be kept until next reset.
track_lowest(value, reset, track_this_bar)
Parameters:
value (float)
reset (bool) : boolean flag to restart tracking from this point (a.k.a anchor)
track_this_bar (bool) : allows enabling and disabling of tracking, e.g. before a session starts or after it ends, values can be kept until next reset.
track_hl_htf(htf, value_high, value_low)
Parameters:
htf (string) : the higher timeframe in pinescript string notation
value_high (float)
value_low (float)
Returns: Library
Strategy
Indicator
Indicator
