Liquidity Sweep Guardian (Universal % or point based)
Liquidity Sweep Guardian - Complete User Guide
## Overview
The **Liquidity Sweep Guardian** is a visual warning system designed to prevent premature counter-trend trades (fades) near Previous Day High (PDH) and Previous Day Low (PDL) levels. This indicator helps you avoid one of the most common trading mistakes: fading too early before liquidity sweeps complete.
---
## 🎯 Core Trading Principle
### **THE GOLDEN RULE: Don't Fade Until It's Unlocked**
Price often **accelerates into key levels** to sweep liquidity before reversing. Trading against this momentum is extremely dangerous.
**The Process:**
1. **Danger Zone** (Red/White Box) = ⚠️ **DO NOT FADE** - Sweep likely incoming
2. **Sweep Occurs** (Triangle marker appears) = Price penetrates the level
3. **Reclaim Happens** (Price returns above/below level) = Level is tested
4. **🔓 UNLOCKED** (Gold border, green label) = **NOW you may CONSIDER a fade**
> **Important:** "UNLOCKED" means you may now *consider* a fade setup. It is NOT a trade signal itself. You still need your entry confirmation, risk management, and trade plan.
---
## 📊 Visual Elements Explained
### 1. **Danger Zone Boxes (Red Border by Default)**
**Two types of zones around PDH/PDL:**
- **Outer Danger Zone** (White fill): ±75pts (or 0.30%) around the level
- Indicates proximity to a key level where sweeps commonly occur
- Yellow/cautious trading zone
- **Inner Critical Zone** (Black fill): ±25pts (or 0.10%) around the level
- Highest probability area for liquidity sweep traps
- Avoid fading here at all costs
**What to do:**
- When price enters these zones, **wait and watch**
- Do not initiate counter-trend positions
- Allow the sweep to play out
### 2. **Unlocked Zones (Gold Border #ffeb3b)**
When a zone turns **gold/yellow** with green fill:
- The level has been swept AND reclaimed
- The liquidity grab is complete
- You may now look for fade opportunities with proper confirmation
### 3. **PDH/PDL Lines**
- **PDH Line** (Red): Previous Day High with price label
- **PDL Line** (Green): Previous Day Low with price label
- These are your key reference levels for the session
### 4. **Sweep Labels**
**Triangle Markers (SWEEP):**
- **Green Triangle** = Clean sweep (10-25pts penetration)
- **Orange Triangle** = Extended sweep (25-50pts penetration)
- **Red Triangle** = Deep penetration (50+ pts) - likely continuation, not reversal
**Warning Labels:**
- **⚠️ DEEP CONTINUATION?** = Penetration too deep, probably NOT a reversal setup
**Unlock Labels:**
- **🔓 LONG UNLOCKED** = PDL swept and reclaimed, may consider long fades
- **🔓 SHORT UNLOCKED** = PDH swept and reclaimed, may consider short fades
---
## ⚙️ Settings Guide
### **Calculation Mode**
**Use Percentage Mode (Default: ON)**
- ✅ **Enabled**: Universal mode - works on NQ, ES, RTY, stocks, crypto, forex
- ❌ **Disabled**: Fixed points mode - for specific instruments only
**When to use each:**
- **Percentage Mode**: Trading multiple instruments, or instruments with varying price levels
- **Fixed Points Mode**: Single instrument focus (e.g., only trading NQ at current levels)
### **Danger Zone Settings**
**Percentage Mode (Default for Universal Use):**
- **Danger Zone**: 0.30% each side (≈75pts on NQ@25,000)
- **Critical Zone**: 0.10% each side (≈25pts on NQ@25,000)
**Fixed Points Mode (For NQ Specifically):**
- **Danger Zone**: 75 points each side
- **Critical Zone**: 25 points each side
**Adjustment Tips:**
- For more volatile instruments: Increase percentages/points
- For less volatile instruments: Decrease percentages/points
- For higher timeframes: Use wider zones
- For lower timeframes: Use tighter zones
### **Sweep Classification**
**What defines a "real" sweep:**
- **Minimum**: 10pts / 0.04% - Shallow penetration may not grab enough liquidity
- **Optimal**: 10-25pts / 0.04-0.10% - "Goldilocks zone" for reversal setups
- **Extended**: 25-50pts / 0.10-0.20% - Deeper sweep, less reliable
- **Continuation**: 50+pts / 0.20%+ - Too deep, likely NOT reversing
**Max Bars for Reclaim**: 5 bars (default)
- Price should reclaim the level relatively quickly
- If it takes too long, the sweep may have failed
### **Visual Customization**
**Box Settings:**
- **Left Extension**: 60 bars (how far back the box extends)
- **Right Extension**: 50 bars (how far forward the box extends)
**Toggle Options:**
- Show/Hide Danger Zone Boxes
- Show/Hide PDH/PDL Lines
- Show/Hide Price Labels on lines
- Show/Hide Sweep Labels
- Show/Hide Unlock Labels
### **Color Customization**
All colors are fully customizable:
- Danger Zone Fill & Border
- Critical Zone Fill & Border
- Unlocked Zone Fill & Border
- PDH/PDL Line Colors
- PDH/PDL Label Colors
- Border Widths (1-5 pixels)
- Line Widths (1-5 pixels)
---
## 🎓 Trading Strategy Examples
### **Example 1: Long Setup at PDL**
1. **Morning**: Price approaches PDL (danger zone appears)
2. **Don't Fade Yet**: Price enters critical zone - resist urge to buy
3. **Sweep**: Price drops 15pts below PDL (green triangle appears)
4. **Reclaim**: Price closes back above PDL within 3 bars
5. **🔓 UNLOCKED**: Gold border + "LONG UNLOCKED" label appears
6. **Trade Setup**: Now look for bullish confirmation (order flow, structure, etc.)
### **Example 2: Avoiding a Trap at PDH**
1. **Afternoon**: Price rallies into PDH danger zone
2. **Temptation**: You want to short here (it "looks toppy")
3. **Sweep**: Price breaks 50pts above PDH (red triangle + ⚠️ warning)
4. **Continuation**: Deep penetration suggests continuation, not reversal
5. **Result**: No unlock occurs, price keeps running higher - trap avoided!
### **Example 3: Failed Unlock (No Trade)**
1. Price sweeps PDL by 12pts (green triangle)
2. Price struggles to reclaim PDL, stays below for 10+ bars
3. No "UNLOCKED" label appears
4. **Correct Action**: Do not fade - sweep failed to reclaim
---
## 📱 Alerts
The indicator includes built-in alerts for:
- **Entering Danger Zones**: Get warned when price approaches PDH/PDL
- **Sweep Detection**: Know immediately when a level is swept
- **Unlock Signals**: Get notified when fade setups become available
- **Continuation Warnings**: Alert when penetration suggests continuation
**To Set Alerts:**
1. Right-click indicator → "Add Alert"
2. Select desired alert condition
3. Configure notification preferences
---
## ⚠️ Important Disclaimers
### **What This Indicator IS:**
✅ A visual warning system to prevent premature fades
✅ A tool to identify when liquidity sweeps have completed
✅ A framework for counter-trend trade timing
### **What This Indicator IS NOT:**
❌ A complete trading system
❌ An entry signal generator
❌ A guarantee of trade success
❌ A substitute for proper risk management
### **Always Remember:**
- "UNLOCKED" = You may CONSIDER a fade (not a signal to trade)
- You still need your own entry confirmation
- You still need proper stop placement
- You still need position sizing and risk management
- Not every unlock leads to a successful trade
- Market context and order flow still matter
---
## 🔧 Recommended Settings by Instrument
### **NQ (Nasdaq-100 E-mini Futures)**
- Mode: Percentage or Fixed Points
- Percentage: 0.30% / 0.10% (default)
- Fixed Points: 75pts / 25pts (default)
### **ES (S&P 500 E-mini Futures)**
- Mode: Percentage
- Danger: 0.25% / Critical: 0.08%
- Or Fixed Points: 15pts / 5pts
### **RTY (Russell 2000 E-mini Futures)**
- Mode: Percentage
- Danger: 0.35% / Critical: 0.12%
- Or Fixed Points: 8pts / 3pts
### **Stocks (High Volume Large Caps)**
- Mode: Percentage (recommended)
- Danger: 0.20-0.40% / Critical: 0.08-0.15%
- Adjust based on ATR and volatility
### **Crypto (BTC, ETH)**
- Mode: Percentage (essential)
- Danger: 0.40-0.60% / Critical: 0.15-0.20%
- Higher volatility requires wider zones
---
## 💡 Pro Tips
1. **Use on Higher Timeframes**: Works best on 5min, 15min, 1hr charts
2. **Combine with Order Flow**: Use with footprint/delta for confirmation
3. **Watch Volume**: Strong volume on sweep = better reversal potential
4. **Consider Time of Day**: Sweeps during RTH often more reliable
5. **Multiple Timeframes**: Check if higher TF also shows unlock
6. **Don't Force Trades**: Not every session produces clean setups
7. **Journal Results**: Track which unlock types work best for you
8. **Respect Continuation Signals**: When indicator says "too deep," listen
---
## 🆘 Troubleshooting
**Q: Box isn't showing up**
A: Check that "Show Danger Zone Boxes" is enabled in Visual Settings
**Q: No price on labels**
A: Enable "Show Price Labels on Lines" in Visual Settings
**Q: Zones seem too tight/wide**
A: Adjust Danger Zone % or points based on current volatility
**Q: Getting too many/too few unlocks**
A: Adjust sweep classification thresholds (min/max penetration)
**Q: Want thicker/thinner lines**
A: Adjust line widths in "PDH/PDL Line Colors" section
**Q: Colors not matching my chart theme**
A: Fully customize all colors in the color settings groups
---
## 📚 Additional Resources
- Study price action around PDH/PDL on your instruments
- Learn about liquidity sweeps and stop hunts
- Understand market structure and order flow
- Practice identifying setups on replay/historical data
- Keep a trading journal of unlock scenarios
---
*Remember: The best trade is often the one you don't take. This indicator helps you avoid the trades you shouldn't take, so you can focus on the ones you should.*
Jalur dan Saluran
9 EMA Trend-Flow StrategyThis strategy avoids trading inside the noise and waits for Bitcoin to "coil up" before exploding.
1. Chart Setup
Timeframe: 5 Minutes
Bollinger Bands: Length 20, Standard Deviation 2 (Default).
RSI (Relative Strength Index): Length 14.
EMA (Exponential Moving Average): Length 200 (Trend Filter).
2. The Rules
Long Setup (Buy)
The Trend Filter: Price must be above the 200 EMA.
The Squeeze: The Bollinger Bands must visually contract (narrow), indicating volatility is dying down.
The Trigger: A 5m candle closes strongly above the Upper Bollinger Band.
Confirmation: RSI must be rising and above 50 (but ideally not yet "pegged" at 90+).
Short Setup (Sell)
The Trend Filter: Price must be below the 200 EMA.
The Squeeze: The Bollinger Bands contract.
The Trigger: A 5m candle closes strongly below the Lower Bollinger Band.
Confirmation: RSI must be falling and below 50.
Execution Guide
Entry Technique
Don't enter immediately when the candle touches the band. Wait for the candle close.
Why? Bitcoin frequently "wicks" through bands to trap traders (fakeouts) before reversing. A solid close outside the band confirms momentum.
Exit Strategy (Take Profit)
Target 1 (Conservative): Close 50% of the position when price expands to a fixed risk-reward ratio (e.g., 1.5R).
Target 2 (Runner): Keep the remaining position open as long as price "walks the band" (stays outside or touching the outer band). Close the rest when a candle finally closes back inside the Bollinger Bands.
Stop Loss
Placement: Place your Stop Loss (SL) slightly below the Middle Band (the 20 SMA) at the time of entry.
Trailing: As the price moves in your favor, move your SL to trail the Middle Band.
Cave Diving 3 Lines System
🤿 Cave Diving Dashboard - A Deep Dive into Market Structure
## The Cave Diving Analogy
Imagine you're a cave diver exploring underwater caverns. As you descend deeper, you encounter different layers of the cave system:
- **The Surface (Internal Levels)** - Where you currently are, constantly shifting with each breath
- **The First Chamber (De Novo Levels)** - Your last known safe position, recently established
- **Deep Caverns (External Levels)** - Ancient, untouched chambers deeper in the system
Just as a cave diver must constantly monitor their position relative to these reference points, traders must track price action against key structural levels.
---
## 🎯 Understanding the Three-Tiered System
### 📍 **INTERNAL LEVELS** (Current 15m Candle)
*Your real-time position in the market*
**Internal High** 🟡 - The highest point reached in the current unfinished 15-minute candle
**Internal Low** 🟢 - The lowest point reached in the current unfinished 15-minute candle
**Think of these as:**
- Your current depth while actively diving
- They update continuously as price moves
- Status shows "Updating" when actively changing, "Intact" when stable
- These are NOT trade levels—they're awareness zones
**Key Insight:** When Internal Low drops below De Novo Low, you're in **Situation A** (bearish pressure building)—the indicator highlights this with red coloring.
---
### 🎯 **DE NOVO LEVELS** (Previous Closed 15m Candle)
*Your most recent confirmed safe zone*
**De Novo High** 🔵 - The high of the last completed 15-minute candle
**De Novo Low** 🟣 - The low of the last completed 15-minute candle
**Etymology:** "De Novo" = Latin for "from new" or "anew"—these are freshly established reference points
**Think of these as:**
- The last solid ground you stood on
- Your most recent confirmed position
- The bridge between where you are (Internal) and where you've been (External)
**Status Tracking:**
- **⬆️ Upgrade** - Level moved favorably (Higher high for resistance, Higher low for support)
- **⬇️ Downgrade** - Level moved unfavorably (Lower high, Lower low)
- **＝ Same** - No structural change from previous candle
**Trading Significance:**
- Primary reference points for intraday structure
- Breaking De Novo levels often signals directional commitment
- Can merge with External Level 1 when they align (shown as "DN🟰Ext1")
---
### ⛽🤿 **EXTERNAL LEVELS** (Unmitigated Historical 15m Levels)
*Deep liquidity pools waiting to be discovered*
**External High 1 & 2** 🟢🔵 - The two most recent unmitigated 15m highs
**External Low 1 & 2** 🟠🌸 - The two most recent unmitigated 15m lows
**Think of these as:**
- Untouched chambers in the cave system
- Liquidity pools that smart money is targeting
- Levels that "remember" and attract price
**What Makes a Level "Unmitigated"?**
- **Highs**: Price has NOT yet traded through them (broken above)
- **Lows**: Price has NOT yet swept them (broken below)
- Once touched, they're "mitigated" and removed from tracking
- The indicator automatically maintains the two most recent unmitigated levels
**Why "External"?**
They exist outside your current candle structure—historical reference points that institutions use for:
- Stop loss placement
- Profit taking targets
- Liquidity hunting zones
---
## 🎨 Color Coding System
### HIGHS (Resistance/Targets) - Cool Colors
- 🔵 **Ext High 2** - Light Blue (Distant target)
- 🟢 **Ext High 1** - Lime Green (Primary target)
- 🔵 **De Novo High** - Cyan (Recent resistance)
- 🟡 **Internal High** - Lemon Yellow (Current ceiling)
### LOWS (Support/Stops) - Warm Colors
- 🟢 **Internal Low** - Lime (Current floor)
- 🟣 **De Novo Low** - Purple (Recent support)
- 🟠 **Ext Low 1** - Orange-Red (Primary stop zone)
- 🌸 **Ext Low 2** - Pink (Distant support)
---
## 📊 Dashboard Breakdown
### The Table Shows:
1. **Level** - Which level you're tracking
2. **Price** - Exact price of the level
3. **Pts** - Distance from current price (+ above, - below)
4. **Status** - Current state or role of the level
### Special Features:
- **⏰ Countdown Timer** - Shows time remaining until next 15m candle close (next De Novo update)
- **⚠️ Proximity Alerts** - Bottom row warns when within threshold distance of key levels (default: 25 points, adjustable)
---
## 🎯 Trading Applications
### **For Buyers (Going Long):**
- **Entry Zone**: Between De Novo Low and Ext Low 1
- **Stops**: Below Ext Low 1 (or Ext Low 2 for wider stops)
- **Targets**: De Novo High → Ext High 1 → Ext High 2
- **Confirmation**: Internal Low holds above De Novo Low
### **For Sellers (Going Short):**
- **Entry Zone**: Between De Novo High and Ext High 1
- **Stops**: Above Ext High 1 (or Ext High 2 for wider stops)
- **Targets**: De Novo Low → Ext Low 1 → Ext Low 2
- **Warning**: Watch for Situation A (Internal Low < De Novo Low)
### **Risk Management:**
- **DN🟰Ext1** status means De Novo = External 1 (tighter range, use caution)
- Proximity alerts help you avoid chasing price into resistance/support
- "Updating" status on Internal levels = active volatility
- "Upgrade/Downgrade" signals = structural shift in progress
---
## ⚙️ Customization Options
### Lookback Period
- Default: 500 candles (searches 125 hours of 15m data)
- Increase for more historical External levels
- Decrease for focus on recent structure
### Proximity Threshold
- Default: 25 points
- Set based on your instrument's average range
- Lower = tighter alerts (for scalping)
- Higher = strategic warnings (for swing trading)
### Visual Customization
- Line thickness (1-5)
- Line style (Solid/Dashed/Dotted)
- All colors fully customizable
- Show/hide lines independently
---
## 🧭 The Cave Diving Mindset
**Never dive deeper than you can safely return from.**
In trading terms:
- Know your Internal position (real-time awareness)
- Respect your De Novo levels (recent structure)
- Hunt for External liquidity (where the targets are)
- Always have an exit plan (stops below Ext Lows, above Ext Highs)
The market, like a cave, has structure. This indicator illuminates that structure across three timeframes of reference, helping you navigate with precision rather than guessing in the dark.
---
## 🎓 Key Takeaways
1. **Internal** = Real-time, unfinished, awareness only
2. **De Novo** = Just confirmed, primary reference, updates every 15m
3. **External** = Historical, unmitigated, high-probability targets/stops
4. **Upgrades/Downgrades** = Trend signals
5. **DN🟰Ext1** = Structural alignment (tighter range)
6. **Situation A** = Bearish warning (Internal < De Novo Low)
---
## 📝 Credits
*"In cave diving, you plan your dive and dive your plan. In trading, you plan your levels and trade your levels."*
**Indicator:** Cave Diving Dashboard - Part 1: Price Levels
**Timeframe:** Optimized for 15-minute structure on any chart timeframe
**Philosophy:** Structure first, price second. Know where you are, where you've been, and where the liquidity waits.
---
Happy Diving! 🤿📈
HPDR Bands with projectionHPDR: Historical Price Delta Range
What is it? The HPDR indicator measures how much an asset’s price typically changes over a specific timeframe. It looks at historical price movements ("deltas") and organizes them into percentiles. These are then plotted on your chart as a median line surrounded by statistical bands.
This tool helps you understand an asset’s unique character and its typical price deviations.
Because the median is in this context a statistically relative stable value(if you add 7 values to 1000 it doesn't change much), it allows for high-probability projections of the future median.
For a clearer understanding of the indicator's logic, try setting the Range to 7 and the Offset to -7.
The 50% percentile Band signifies that in 50% of all bars, the price remained within this statistical range.
Scalping Signals with MTF Fibo BandsThis indicator is a scalping / intraday signal system built on Multi-Timeframe (MTF) Fibonacci Bands, combined with an RSI midline filter and an optional direction-lock mechanism to reduce consecutive losing entries.
🔹 What does this indicator do?
It plots two independent Fibonacci Band sets (A & B), each calculated from a higher timeframe SMA + ATR.
Entry zones are defined between Band 2 and Band 3, representing statistically extreme price areas.
You can choose to generate signals from:
Band A only
Band B only
BOTH (A + B confirmation)
📈 Entry Logic
LONG
Price closes inside the Lower Zone (between Fib2 Lower & Fib3 Lower)
RSI is above the midline (default 50)
SHORT
Price closes inside the Upper Zone (between Fib2 Upper & Fib3 Upper)
RSI is below the midline (default 50)
🟧 Direction Lock System
If enabled, the indicator locks the trade direction when a position hits Stop Loss before reaching TP1.
This prevents repeated entries in the same direction during unfavorable conditions.
🔓 Unlock Logic
The lock can be removed when:
RSI crosses back over the midline (RSI > 50 for LONG, RSI < 50 for SHORT)
AND price closes again inside the valid Band 2–3 zone
With the optional setting enabled, a new entry can occur on the same candle
🛑 Stop Loss Logic (Important)
This indicator uses price-action-based stop logic, not fixed pip stops.
1️⃣ Before TP1
LONG: Two consecutive candle closes below Fib3 Lower
SHORT: Two consecutive candle closes above Fib3 Upper
⚠️ Because SL depends on candle closes, you must monitor lower timeframes (1m or below) to react quickly and avoid delayed exits.
2️⃣ After TP1 (Break-Even Protection)
Once TP1 is touched:
SL automatically shifts to Break-Even (entry price)
Any return to entry will close the position
⚠️ Usage Warning
This indicator is NOT designed for sharp, explosive, or news-driven moves
Avoid using it during:
High-impact news
Extremely fast impulsive candles
Sudden volatility spikes
Best performance is achieved in structured price action environments, not chaotic market conditions.
GS Volume Truth Serum (With Alerts)this tells you when institutions are behind a move and its not a bull trap
NQ bands 50/65.5/100this is a indicator that puts lines 50 points above and below price, 65.5 points above and below price and 100 points above and below price for the Nasdaq Futures.
Advance SMC (Milad Tayefi)Smart money indicator which recognizes market structure and produces buy/sell signals.
ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions
Overview
ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength.
Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions.
The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves.
Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength.
Conceptual Framework
ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines.
Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes.
Three guiding principles define the framework:
Volatility must be conditioned on trend strength
Extremes occur within zones, not at lines
Signals should emerge from completed wave transitions, not instantaneous touches
This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation.
Theoretical Foundation
The indicator fuses directional movement theory with statistical volatility modeling.
Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium.
From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases.
At its core are three interacting systems:
ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves.
Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions.
State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium.
This structure ensures that signals reflect completed volatility waves, not transient noise.
How It Works
ADX Volatility Waves processes price action through layered wave mechanics:
Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength.
Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions.
Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves.
Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave.
Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals.
Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form.
Together, these processes create a continuous, adaptive wave map of volatility behavior.
Interpretation
ADX Volatility Waves reframes market reading around volatility cycles:
Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility.
Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion.
Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals.
Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion.
Wave progression and completion matter more than single-bar interactions.
Signal Logic & Visual Cues
ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period.
Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger.
Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress.
All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods.
Strategy Integration
ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks:
Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries.
Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion.
Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions.
Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves.
Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior.
Technical Implementation Details
Core Engine : ADX-normalized volatility expansion
Wave System : Smoothed, offset, expanded volatility waves
Visualization : Multi-layer gradient wave zones
Signal Logic : State-based wave transitions with cooldown enforcement
Alerts : Wave entry, wave completion, volatility compression
Performance Profile : Lightweight, real-time optimized overlay
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Short-term volatility waves and intraday transitions
15 - 60 min : Structured intraday wave cycles
4H - Daily : Macro volatility regimes and expansion phases
Suggested Baseline Configuration:
BB Length : 20
BB StdDev : 1.5
ADX Length : 14
ADX Influence : 0.8
Wave Offset : 1.0
Wave Width : 1.0
Neutral Confirmation : 5 bars
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Markets exhibiting rhythmic volatility expansion and contraction
Assets with responsive ADX regime behavior
Reduced Effectiveness:
Erratic, news-driven price action
Illiquid markets with distorted volatility metrics
Integration Guidelines
Confluence : Combine with BOSWaves structure or trend tools
Discipline : Respect wave completion and cooldown logic
Risk Framing : Interpret wave depth probabilistically, not predictively
Regime Awareness : Always contextualize waves within ADX strength
Disclaimer
ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context.
Daily & Pre-Market Key Levels (v5)Plots:
- Today's high/low
- Pre-market High/Low
- Yesterday's high/low/close
- Day before yesterday high/low
225 SMA CrossoverWell-known strategy from Zahlengraf from the Mauerstrassenwetten subreddit for you to test yourself.
You can change the length of the SMA and whether to trade long, short or both directions.
Varun's StrategyBuy and Sell strategy designed for a 1 minute chart to buy when RSI drops under 25 and sell when RSI exceeds 75
FX Session High/Low Bands - Last 5 EST Days
FX Session High/Low Bands - Last 5 Days
Description:
This indicator plots horizontal bands representing the high and low price levels from the major forex trading sessions over the last 5 days. It helps traders identify key support and resistance zones based on recent session activity.
Features:
Multiple Session Tracking: Displays high/low levels for major FX sessions:
Asian Session (Tokyo)
European Session (London)
US Session (New York)
5-Day Lookback: Captures the highest high and lowest low from each session over the previous 5 trading days
Visual Bands: Clear horizontal lines or filled zones showing session boundaries
Dynamic Updates: Automatically recalculates as new session data becomes available
How to Use:
Support/Resistance: Previous session highs/lows often act as key price levels
Breakout Trading: Watch for price breaking above/below session bands
Range Trading: Trade within the bands during consolidation periods
Session Overlap: Pay attention to multiple session bands converging
Ideal For:
Forex day traders
Session-based trading strategies
Support/resistance identification
Multi-timeframe analysis
Probability-Based Adaptive Detection🙏🏻 PBAD (Probability-Based Adaptive Detection) : adaptive control tool for outliers || novelty detection, made for worst case data & processes, for the highest time complexity O(n^2) compared with the alternatives (would be explained in a sec). Thresholds are completely data driven and axiomatic, no need in provided hyperparameters, are not learned or optimized. The method accepts multiple weights, e.g. both temporal and volatility weights.
Method briefly explained (I can go deeper if any1 asks explicitly):
Performs weighted KDE on initial input data, finds KDE global maximum (mode), creates new “residuals” dataset by centering initial data around this value;
Performs weighted KDE on residuals, uses sigmoid based probability mass targets with increasing probability coverage to construct a set of non-disjoint High Density Intervals (also called HDR, HPD in Bayesian terms);
Uses these intervals to calculate analogs of centralized & standardized moments;
Uses these ^^ moments to construct a set of control thresholds. The scheme used in PBAD is not only based on a central threshold, or on neighboring ones, it utilizes all previous thresholds, gaining more information.
...
The most important part is to understand whether you really need PBAD. Because even tho it seems to be the best one given highest algocomplexity, irl it would work worse in cases when it’s not required by your data.
Here’s the menu (aka taxonomy omg) of methods you can use that would let you make the right choice:
Moment-Based Adaptive Detection (MBAD) :
Norm: L2
Time complexity: original O(n), successfully reduced to O(1) in online version
Use case: default, general purpose
Based on: method of moments (powers of residuals from mean)
Thresholds architecture: centralized
Quantile-Based Adaptive Detection (QBAD):
Norm: L1
Time complexity: O(nlogn)
Use case: either bad data Or process instability
Based on: quantile moments (dyadic percentiles of residuals from median)
Thresholds architecture: chained/recursive/sequential
Probability-Based Adaptive Detection (PBAD):
Norm: L0
Time complexity: O(n^2)
Use case: both bad data And process instability
Based on: probability moments (target probability masses of residuals from KDE mode)
Thresholds architecture: decentralized (for lack of a better name xd, the idea is that these thresholds gain information from the all other threshold and are Not exclusively based on the central or neighboring thresholds)
...
Examples of true use cases:
^^ an appropriate financial instrument to use PBAD
^^ and another one
...
Additional details about how to use it:
Keep the student5 kernel, it’s the best you can do. I added others mostly for comparisons and if you want to use the tool Not for its primary purpose (on a fine data)
“Calculate for N bars” and “Starting at bar N” options allow to reduce calculation period only on the N number of last bars or next bars from a chosen one. It's vital, because calculations here are heavy
Keep plotting offset at 1 (allows to visually compare current bar with the previous threshold values). This is the way it should be done on price data.
HLC3 is the optimal source input, unless you want to use your own better one point estimate of each datapoint (in the best case done by using PBAD itself on OHLC+ values).
In essence it should be used just like MBAD or QBAD, fade/push extensions and limit, fade/push/skip deviations & basis, or other strategies of your. Again, the only reason for 3 methods to exist is to be chosen for according data characteristics.
Btw:
This is the initial version, I don’t consider it perfected tbh, even tho it works as expected, however this method is very situational anyways.
In this script KDE function is modified to ensure the outcoming probabilities Do sum up to 1. I didn’t do this normalization in Weighted KDE Mode script , but there it’s not required since we just need a KDE global max.
see ya
∞
Selected Days Indicator V3-TrDoes the stock drop every Wednesday? Do March months always move similarly? Does the 1st week of the month behave differently?
Do you ever say "it always makes this move in these months"? Don't you want to see more clearly whether it actually makes this move or not? Don't you want to see and test periodically repeating price patterns?
Hisse her Çarşamba düşüyor mu? Mart ayları hep benzer mi hareket ediyor? Ayın 1. haftası farklı mı davranıyor?
Bazen "bu aylarda hep bu hareketi yapıyor" dediğiniz oluyor mu? Gerçekten de bu hareketi yapıp yapmadığını daha net görmek istemez misiniz? Periyodik tekrarlayan fiyat kalıplarını görmek ve test etmek istemiyor musunuz?
1. Problem
Some stocks or crypto assets exhibit systematic behaviors on certain days, weeks, or months. But it's hard to see - everything is mixed together on the chart. This indicator isolates the days/weeks/months you want and shows only them. Hides everything else.
2. How It Works
Three-layer filter: Day (Monday, Tuesday...), Week (1st, 2nd, 3rd week of the month), Month (January, February...). Select what you want, let the rest disappear. Example: Show only Thursdays of March-June-September. Or compare every 1st week of the month. View as candlestick, line, or column chart.
3. What's It Good For?
Test "end-of-month effect". Find "day-of-the-week anomaly". Analyze crypto volatility by days. See seasonality in commodities. Discover patterns specific to your own strategy. Past data doesn't guarantee the future but provides statistical advantage.
EMA 8 / 20 / 200Created to easily use the 8/20/200 strategy.
This indicator is designed to give a clear, multi-timeframe view of trend, momentum, and structure using three exponential moving averages.
1. Trend direction (EMA 200 – pink)
The 200 EMA acts as the long-term trend filter.
Price above the 200 EMA suggests a bullish market bias.
Price below the 200 EMA suggests a bearish market bias.
Many traders avoid taking trades against this higher-timeframe direction.
2. Momentum and trade bias (EMA 20 – blue)
The 20 EMA reflects short-term momentum.
When price respects the 20 EMA in an uptrend, pullbacks often provide continuation entries.
In downtrends, the 20 EMA frequently acts as dynamic resistance.
3. Entry timing (EMA 8 – yellow)
The 8 EMA is a fast reaction line used for precise timing.
Crosses of the 8 EMA over the 20 EMA can signal momentum shifts.
Strong trends often show price holding above (or below) the 8 EMA during impulse moves.
4. Confluence and trade filtering
The indicator works best when the EMAs are aligned:
Bullish alignment: EMA 8 > EMA 20 > EMA 200
Bearish alignment: EMA 8 < EMA 20 < EMA 200
Misaligned EMAs usually indicate consolidation or low-probability conditions.
5. Risk management context
EMAs can act as dynamic support and resistance:
Stops are often placed beyond the 20 EMA or 200 EMA depending on trade horizon.
Loss of EMA structure is a warning sign that the trend may be weakening.
In short, the indicator is a trend-first, momentum-second framework that helps you decide when to trade, in which direction, and when to stay out.
MA20 ATR Trend Failure FilterA volatility-adaptive filter designed to identify early trend invalidation.
This indicator combines a 20-period Moving Average (MA20) with Average True Range (ATR) to dynamically define a lower volatility boundary.
When price closes below this boundary, it signals that the current trend is no longer valid and risk is increasing.
Core Concept（核心思想）
MA defines the trend baseline
ATR measures current market volatility
MA − k × ATR forms a dynamic risk threshold
A close below this threshold = trend failure
👉 中文补充：
这不是反转指标，而是趋势失效过滤器，用于避免在趋势已经被破坏后继续持仓或加仓。
How It Works
Calculate MA20 as the trend reference
Calculate ATR(14) as volatility proxy
Build adaptive bands:
Upper Band = MA20 + k × ATR
Lower Band = MA20 − k × ATR
If close < Lower Band, trend is considered failed
The ATR multiplier k automatically adjusts the tolerance based on volatility, avoiding rigid fixed-percentage rules.
Visual Elements
Yellow line: MA20
Green band: MA20 + k × ATR
Red band: MA20 − k × ATR (key risk boundary)
Red triangle + “FAIL” label: Trend failure signal
Optional background shading to highlight risk zones
Typical Use Cases
Trend-following strategies (exit / reduce exposure)
Breakout strategies (filter false continuation)
Risk management overlay (non-intrusive, no repaint)
Combine with HMA, SuperTrend, structure-based entries
👉 中文补充：
非常适合作为**“不该再拿”的客观判断条件**，而不是频繁交易信号。
Why This Indicator
Volatility-adaptive (ATR-based)
No future data, no repaint
Simple logic, strong risk control
Works across stocks, crypto, futures, indices
This tool is designed to answer one question only:
Is the current trend still valid?
Parameters
MA Length (default: 20)
ATR Length (default: 14)
ATR Multiplier k (default: 0.8)
Lower k → stricter risk control
Higher k → more tolerance, fewer false signals SSE:600595
Market + Direction + Entry + Hold + Exit v1.5 FINALOverview
This script is a complete trend-based trading framework designed to filter market conditions, determine directional bias, detect high-quality pullback entries, manage active trades, and identify trend-weakening exit points.
It is optimized for NQ futures, Gold (XAUUSD), and Bitcoin, with adaptive parameters for each asset.
The logic focuses on trading only when conditions are favorable, aligning entries with the primary trend, and avoiding low-probability setups.
1. Market Condition Filter
Before any signal appears, the script checks whether the market is active using three conditions:
ATR compared to ATR moving average (volatility condition)
Volume compared to average volume (liquidity condition)
Price distance from VWAP (suppression of mean-reversion environments)
A trade environment is considered active when at least two of these three conditions are positive.
2. Trend Direction Filter
Directional bias is defined by:
EMA21 relative to EMA55
Price relative to VWAP
Heikin-Ashi structure
When these conditions align, the script switches into long-only or short-only mode.
No counter-trend signals are displayed.
3. Entry Logic (L, L2, L3 and S, S2, S3)
The system identifies pullback entries within a confirmed trend.
Long entries require:
Uptrend confirmation
Price dipping toward EMA21 or EMA55
A constructive Heikin-Ashi candle
Market environment active
Short entries mirror the same structure in bearish conditions.
Re-entries (L2, L3, S2, S3) are given only if the trend remains intact after the first entry.
4. Hold Logic
A hold signal appears if momentum remains aligned with the trend.
Momentum is evaluated using the Stochastic indicator (K and D lines).
5. Exit Logic
An exit signal appears when:
The recent structural low (for longs) or high (for shorts) is broken, and
The EMA slope indicates weakening trend strength
This combination identifies high-probability trend exhaustion.
How to Use
Add the script to your chart.
Select an asset preset (NQ, GOLD, BTC).
Wait for the market to be active.
Follow the entry signals (L, L2, L3 or S, S2, S3).
Hold signals help confirm continuation.
Exit signals indicate potential trend reversal or weakness.
Feature Summary
Market environment filter
Trend direction filter
Pullback-based entry system
Multi-stage re-entry framework
Momentum-based hold signal
Structure-based exit
Asset-adaptive parameters
Clean chart visualization
Disclaimer
This script is for research and educational use.
It does not constitute financial advice.
Always backtest before using in live markets.
개요
이 스크립트는 시장 상태 필터링, 추세 방향 판단, 고품질 눌림목 진입, 보유 판단, 추세 약화 기반 청산까지 모두 포함하는 완전한 트레이딩 프레임워크입니다.
NQ, 골드(XAUUSD), 비트코인에 맞게 최적화되어 있습니다.
1. 시장 필터
다음 세 가지 중 두 가지 이상이 충족될 때만 매매 환경을 ‘활성’으로 판단합니다.
ATR 기준 변동성 체크
거래량 활성도 체크
가격의 VWAP 거리 체크
2. 방향(추세) 필터
다음 조건을 기반으로 상승·하락 추세를 결정합니다.
EMA21 vs EMA55
가격 vs VWAP
Heikin-Ashi 구조
이 조건이 일치할 때만 롱 전용 또는 숏 전용 모드로 진입합니다.
3. 진입 로직
추세가 유지되는 상태에서 EMA21 또는 EMA55까지 눌림이 나올 때
L 또는 S 신호를 제공합니다.
추세가 유지되면 L2/L3, S2/S3 재진입 신호가 추가로 발생합니다.
4. 보유(Hold)
모멘텀이 추세 방향과 일치할 때 보유 신호를 제공합니다.
5. 청산(Exit)
다음 두 조건이 동시에 나타날 때 청산 신호가 표시됩니다.
직전 구조(스윙)가 붕괴될 때
EMA 기울기가 약화될 때
사용 방법
차트에 스크립트를 추가합니다.
자산 프리셋(NQ, GOLD, BTC)을 선택합니다.
시장이 활성일 때만 신호를 참고합니다.
L/S 진입 신호와 보유/청산 신호를 활용해 매매 흐름을 관리합니다.
Supply and Demand Zones [BigBeluga]🔵 OVERVIEW
The Supply and Demand Zones indicator automatically identifies institutional order zones formed by high-volume price movements. It detects aggressive buying or selling events and marks the origin of these moves as demand or supply zones. Untested zones are plotted with thick solid borders, while tested zones become dashed, signaling reduced strength.
🔵 CONCEPTS
Supply Zones: Identified when 3 or more bearish candles form consecutively with above-average volume. The script then searches up to 5 bars back to find the last bullish candle and plots a supply zone from that candle’s low to its low plus ATR.
Demand Zones: Detected when 3 or more bullish candles appear with above-average volume. The script looks up to 5 bars back for a bearish candle and plots a demand zone from its high to its high minus ATR.
Volume Weighting: Each zone displays the cumulative bullish or bearish volume within the move leading to the zone.
Tested Zones: If price re-enters a zone and touches its boundary after being extended for 15 bars, the zone becomes dashed , indicating a potential weakening of that level.
Overlap Logic: Older overlapping zones are removed automatically to keep the chart clean and only show the most relevant supply/demand levels.
Zone Expiry: Zones are also deleted after they’re fully broken by price (i.e., price closes above supply or below demand).
🔵 FEATURES
Auto-detects supply and demand using volume and candle structure.
Extends valid zones to the right side of the chart.
Solid borders for fresh untested zones.
Dashed borders for tested zones (after 15 bars and contact).
Prevents overlapping zones of the same type.
Labels each zone with volume delta collected during zone formation.
Limits to 5 zones of each type for clarity.
Fully customizable supply and demand zone colors.
🔵 HOW TO USE
Use supply zones as potential resistance levels where sell-side pressure could emerge.
Use demand zones as potential support areas where buyers might step in again.
Pay attention to whether a zone is solid (untested) or dashed (tested).
Combine with other confluences like volume spikes, trend direction, or candlestick patterns.
Ideal for swing traders and scalpers identifying key reaction levels.
🔵 CONCLUSION
Supply and Demand Zones is a clean and logic-driven tool that visualizes critical liquidity zones formed by institutional moves. It tracks untested and tested levels, giving traders a visual edge to recognize where price might bounce or reverse due to historical order flow.
Momentum Burst Pullback System v66 * Detects **momentum “bursts”** using:
* **Keltner breakout** (high above upper band for long, low below lower band for short), and/or
* **MACD histogram extreme** (highest/lowest in a lookback window, with correct sign).
* Optional **burst-zone extension** keeps the burst “active” for N extra bars after the burst.
* Marks bursts with **K** (Keltner) and **M** (MACD) labels:
* Core burst labels use one color, extension labels use a different color.
* Tracks the most recent burst as the **dominant side** (long or short), and stores burst “leg” anchors (high/low context).
* Adds **structure-based invalidation**:
* On a new **core burst**, it locks the most recent **confirmed swing** level (pivot):
* Long: locks the last confirmed **swing low**.
* Short: locks the last confirmed **swing high**.
* After the burst, if price **breaks that locked level**, the burst regime is **cancelled** (and any pending setup on that side is dropped).
* Finds **pullback setups** after a dominant burst (and not inside the active burst zone), within min/max bars:
* Long pullback requires a sequence of **lower highs** and price still below the burst high.
* Short pullback requires **higher lows** and price still above the burst low.
* Optional background shading highlights pullback bars.
* On pullback bars, plots **static TP/SL crosses** using ATR:
* Anchor is the pullback bar’s high (long) or low (short).
* TP/SL are ± ATR * multiple.
* TP plots are visually classified (bright vs faded) based on whether TP would exceed the prior burst extreme.
* Maintains a **state-machine entry + trailing stop**:
* Sets a “waiting” trigger on pullback.
* Enters when price breaks the trigger (high break for long, low break for short).
* Trails a stop using **R-multiples**, with different behavior pre-break-even, post-break-even, and near-TP.
* Optionally draws the trailing stop as horizontal line segments.
* Optionally shows a **last-bar label** with the most recent pullback’s TP and SL values.
Bollinger Bands Forecast with Signals (Zeiierman)█ Overview
Bollinger Bands Forecast with Signals (Zeiierman) extends classic Bollinger Bands into a forward-looking framework. Instead of only showing where volatility has been, it projects where the basis (midline) and band width are likely to drift next, based on recent trend and volatility behavior.
The projection is built from the measured slopes of the Bollinger basis, the standard deviation (or ATR, depending on the mode), and a volatility “breathing” component. On top of that, the script includes an optional projected price path that can be blended with a deterministic random walk, plus rejection signals to highlight failed band breaks.
█ How It Works
⚪ Bollinger Core
The script first computes standard Bollinger Bands using the selected Source, Length, and Multiplier:
Basis = SMA(Source, Length)
Band width = Multiplier × StDev(Source, Length)
Upper/Lower = Basis ± Width
This remains the “live” (non-forecast) structure on the chart.
⚪ Trend & Volatility Slope Estimation
To project forward, the indicator measures directional drift and volatility drift using linear regression differences:
Basis slope from the Bollinger basis
StDev slope from the Bollinger deviation
ATR slope for ATR-based projection mode
These slopes drive the forecast bands forward, reflecting the market’s recent directional and volatility regime.
⚪ Projection Engine (Forecast Bands)
At the last bar, the indicator draws projected basis, upper, and lower lines out to Forecast Bars. The projected basis can be:
Trend (straight linear projection)
Curved (ease-in/out transition toward projected endpoints)
Smoothed (extra smoothing on projected basis/width)
⚪ Price Path Projection + Optional Random Walk
In addition to projecting the bands, the script can draw a price forecast path made of a small number of zigzag swings.
Each swing targets a point offset from the projected basis by a multiple of the projected half-width (“width units”).
Decay gradually reduces swing size as the forecast deepens.
The Optional Random Walk Blend adds a deterministic drift component to the zigzag path. It’s not true randomness; it’s a stable pseudo-random sequence, so the drawing doesn’t jump around on refresh, while still adding “natural” variation.
⚪ Rejection Signals
Signals are based on failed attempts to break a band:
Bear Signal (Down): price tries to push above the upper band, then falls back inside, while still closing above the basis.
Bull Signal (Up): price tries to push below the lower band, then returns back inside, while still closing below the basis.
█ How to Use
⚪ Forward Support/Resistance Corridors
Treat the projected upper/lower bands as a future volatility envelope, not a guarantee:
The upper projection ≈ is likely a resistance level if the regime persists
The lower projection ≈ is likely a support level if the regime persists
Best used for trade planning, targets, and “where price could travel” under similar conditions.
⚪ Regime Read: Trend + Volatility
The projection shape is informative:
Rising basis + expanding width → trend with increasing volatility (needs wider stops / more caution)
Flat basis + compressing width → contraction regime (often precedes expansion)
⚪ Signals for Mean-Reversion / Failed Breakouts
The rejection markers are useful for fade-style setups:
A Down signal near/after upper-band failure can imply rotation back toward the basis.
An Up signal near/after lower-band failure can imply snap-back toward the basis.
With MA filtering enabled, signals are constrained to align with the broader bias, helping reduce chop-driven noise.
█ Related Publications
Donchian Predictive Channel (Zeiierman)
█ Settings
⚪ Bollinger Band
Controls the live Bollinger Bands on the chart.
Source – Price used for calculations.
Length – Lookback period; higher = smoother, lower = more reactive.
Multiplier – Bandwidth; higher = wider bands, lower = tighter bands.
⚪ Forecast
Controls the forward projection of the Bollinger Bands.
Forecast Bars – How far into the future the bands are projected.
Trend Length – Lookback used to estimate trend and volatility slopes.
Forecast Band Mode – Defines projection behavior (linear, curved, breathing, ATR-based, or smoothed).
⚪ Price Forecast
Controls the projected price path inside the bands.
ZigZag Swings – Number of projected oscillations.
Amplitude – Distance from basis, measured in bandwidth units.
Decay – Shrinks swings further into the forecast.
⚪ Random-Walk
Adds controlled randomness to the price path.
Enable – Toggle random-walk influence.
Blend – Strength of randomness vs. zigzag.
Step Size – Size of random steps (band-width units).
Decay – Reduces randomness as the forecast deepens.
Seed – Changes the (stable) random sequence.
⚪ Signals
Controls rejection/mean-reversion signals.
Show Signals – Enable/disable signal markers.
MA Filter (Type/Length) – Filters signals by trend direction.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
