VEGA (Velocity of Efficient Gain Adaptation)VEGA (Velocity of Efficient Gain Adaptation)
VEGA is a momentum oscillator that measures the velocity of an efficiency-weighted adaptive moving average. Unlike traditional momentum indicators that react uniformly to all price movements, VEGA intelligently adapts its sensitivity based on market conditions—responding quickly during trending periods and filtering noise during consolidation.
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What Makes VEGA Different
Efficiency-Driven Adaptation
At its core, VEGA uses the Efficiency Ratio (ER) to distinguish between trending and choppy markets. When price moves efficiently in one direction, VEGA's underlying adaptive MA speeds up to capture the move. When price chops sideways, it slows down to avoid whipsaws. This creates a momentum reading that's inherently cleaner than fixed-period alternatives.
Linear Regression Smoothed Source
VEGA offers an optional LinReg-smoothed price source that blends regular candles with linear regression values. This pre-smoothing reduces noise before it ever enters the calculation, resulting in a histogram that's easier to read without sacrificing responsiveness. The mix ratio lets you dial in exactly how much smoothing you want.
Z-Score Normalization with Dead Zone
Rather than arbitrary oscillator bounds, VEGA normalizes output as standard deviations from the mean. This gives statistically meaningful levels: readings above +2σ or below -2σ represent genuinely extreme momentum. The configurable dead zone (with Snap, Soft Fade, or None modes) filters out insignificant movements near zero, keeping you focused on signals that matter.
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How It Works
1. Source Preparation — Price is smoothed via a LinReg/regular candle blend
2. Efficiency Ratio — Measures directional movement vs total movement over the lookback period
3. Adaptive MA — Applies variable smoothing based on efficiency (fast during trends, slow during chop)
4. Velocity — Calculates the rate of change of the adaptive MA
5. Normalization — Converts to Z-Score (standard deviations) or ATR-normalized percentage
6. Dead Zone — Optionally filters near-zero values to reduce noise
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How To Read VEGA
Signal and Interpretation
Histogram above zero | Bullish momentum
Histogram below zero | Bearish momentum
Bright color | Momentum accelerating
Faded color | Momentum decelerating
Beyond ±1σ bands | Above-average momentum
Beyond ±2σ bands | Extreme momentum (potential reversal zone)
Zero line cross*| Momentum shift
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Key Settings
ER Length — Lookback for efficiency ratio calculation. Higher = smoother, slower adaptation.
Fast/Slow Smoothing — Controls the adaptive MA's responsiveness range. The MA blends between these based on efficiency.
LinReg Settings — Enable smoothed candles and adjust the blend ratio (0 = regular candles, 1 = full LinReg, 0.5 = 50/50 mix).
Z-Score Lookback — Period for calculating mean and standard deviation. Shorter = more reactive normalization.
Dead Zone Type — How to handle near-zero values:
Snap — Hard cutoff to zero
Soft Fade — Gradual reduction toward zero
None — No filtering
Dead Zone Threshold — Values within this Z-Score range are affected by the dead zone setting.
VEGA works on any timeframe and any market. For best results, adjust the ER Length and LinReg settings to match your trading style and the volatility characteristics of your instrument.
Volatilität
Volatility Targeting: Single Asset [BackQuant]Volatility Targeting: Single Asset
An educational example that demonstrates how volatility targeting can scale exposure up or down on one symbol, then applies a simple EMA cross for long or short direction and a higher timeframe style regime filter to gate risk. It builds a synthetic equity curve and compares it to buy and hold and a benchmark.
Important disclaimer
This script is a concept and education example only . It is not a complete trading system and it is not meant for live execution. It does not model many real world constraints, and its equity curve is only a simplified simulation. If you want to trade any idea like this, you need a proper strategy() implementation, realistic execution assumptions, and robust backtesting with out of sample validation.
Single asset vs the full portfolio concept
This indicator is the single asset, long short version of the broader volatility targeted momentum portfolio concept. The original multi asset concept and full portfolio implementation is here:
That portfolio script is about allocating across multiple assets with a portfolio view. This script is intentionally simpler and focuses on one symbol so you can clearly see how volatility targeting behaves, how the scaling interacts with trend direction, and what an equity curve comparison looks like.
What this indicator is trying to demonstrate
Volatility targeting is a risk scaling framework. The core idea is simple:
If realized volatility is low relative to a target, you can scale position size up so the strategy behaves like it has a stable risk budget.
If realized volatility is high relative to a target, you scale down to avoid getting blown around by the market.
Instead of always being 1x long or 1x short, exposure becomes dynamic. This is often used in risk parity style systems, trend following overlays, and volatility controlled products.
This script combines that risk scaling with a simple trend direction model:
Fast and slow EMA cross determines whether the strategy is long or short.
A second, longer EMA cross acts as a regime filter that decides whether the system is ACTIVE or effectively in CASH.
An equity curve is built from the scaled returns so you can visualize how the framework behaves across regimes.
How the logic works step by step
1) Returns and simple momentum
The script uses log returns for the base return stream:
ret = log(price / price )
It also computes a simple momentum value:
mom = price / price - 1
In this version, momentum is mainly informational since the directional signal is the EMA cross. The lookback input is shared with volatility estimation to keep the concept compact.
2) Realized volatility estimation
Realized volatility is estimated as the standard deviation of returns over the lookback window, then annualized:
vol = stdev(ret, lookback) * sqrt(tradingdays)
The Trading Days/Year input controls annualization:
252 is typical for traditional markets.
365 is typical for crypto since it trades daily.
3) Volatility targeting multiplier
Once realized vol is estimated, the script computes a scaling factor that tries to push realized volatility toward the target:
volMult = targetVol / vol
This is then clamped into a reasonable range:
Minimum 0.1 so exposure never goes to zero just because vol spikes.
Maximum 5.0 so exposure is not allowed to lever infinitely during ultra low volatility periods.
This clamp is one of the most important “sanity rails” in any volatility targeted system. Without it, very low volatility regimes can create unrealistic leverage.
4) Scaled return stream
The per bar return used for the equity curve is the raw return multiplied by the volatility multiplier:
sr = ret * volMult
Think of this as the return you would have earned if you scaled exposure to match the volatility budget.
5) Long short direction via EMA cross
Direction is determined by a fast and slow EMA cross on price:
If fast EMA is above slow EMA, direction is long.
If fast EMA is below slow EMA, direction is short.
This produces dir as either +1 or -1. The scaled return stream is then signed by direction:
avgRet = dir * sr
So the strategy return is volatility targeted and directionally flipped depending on trend.
6) Regime filter: ACTIVE vs CASH
A second EMA pair acts as a top level regime filter:
If fast regime EMA is above slow regime EMA, the system is ACTIVE.
If fast regime EMA is below slow regime EMA, the system is considered CASH, meaning it does not compound equity.
This is designed to reduce participation in long bear phases or low quality environments, depending on how you set the regime lengths. By default it is a classic 50 and 200 EMA cross structure.
Important detail, the script applies regime_filter when compounding equity, meaning it uses the prior bar regime state to avoid ambiguous same bar updates.
7) Equity curve construction
The script builds a synthetic equity curve starting from Initial Capital after Start Date . Each bar:
If regime was ACTIVE on the previous bar, equity compounds by (1 + netRet).
If regime was CASH, equity stays flat.
Fees are modeled very simply as a per bar penalty on returns:
netRet = avgRet - (fee_rate * avgRet)
This is not realistic execution modeling, it is just a simple turnover penalty knob to show how friction can reduce compounded performance. Real backtesting should model trade based costs, spreads, funding, and slippage.
Benchmark and buy and hold comparison
The script pulls a benchmark symbol via request.security and builds a buy and hold equity curve starting from the same date and initial capital. The buy and hold curve is based on benchmark price appreciation, not the strategy’s asset price, so you can compare:
Strategy equity on the chart symbol.
Buy and hold equity for the selected benchmark instrument.
By default the benchmark is TVC:SPX, but you can set it to anything, for crypto you might set it to BTC, or a sector index, or a dominance proxy depending on your study.
What it plots
If enabled, the indicator plots:
Strategy Equity as a line, colored by recent direction of equity change, using Positive Equity Color and Negative Equity Color .
Buy and Hold Equity for the chosen benchmark as a line.
Optional labels that tag each curve on the right side of the chart.
This makes it easy to visually see when volatility targeting and regime gating change the shape of the equity curve relative to a simple passive hold.
Metrics table explained
If Show Metrics Table is enabled, a table is built and populated with common performance statistics based on the simulated daily returns of the strategy equity curve after the start date. These include:
Net Profit (%) total return relative to initial capital.
Max DD (%) maximum drawdown computed from equity peaks, stored over time.
Win Rate percent of positive return bars.
Annual Mean Returns (% p/y) mean daily return annualized.
Annual Stdev Returns (% p/y) volatility of daily returns annualized.
Variance of annualized returns.
Sortino Ratio annualized return divided by downside deviation, using negative return stdev.
Sharpe Ratio risk adjusted return using the risk free rate input.
Omega Ratio positive return sum divided by negative return sum.
Gain to Pain total return sum divided by absolute loss sum.
CAGR (% p/y) compounded annual growth rate based on time since start date.
Portfolio Alpha (% p/y) alpha versus benchmark using beta and the benchmark mean.
Portfolio Beta covariance of strategy returns with benchmark returns divided by benchmark variance.
Skewness of Returns actually the script computes a conditional value based on the lower 5 percent tail of returns, so it behaves more like a simple CVaR style tail loss estimate than classic skewness.
Important note, these are calculated from the synthetic equity stream in an indicator context. They are useful for concept exploration, but they are not a substitute for professional backtesting where trade timing, fills, funding, and leverage constraints are accurately represented.
How to interpret the system conceptually
Vol targeting effect
When volatility rises, volMult falls, so the strategy de risks and the equity curve typically becomes smoother. When volatility compresses, volMult rises, so the system takes more exposure and tries to maintain a stable risk budget.
This is why volatility targeting is often used as a “risk equalizer”, it can reduce the “biggest drawdowns happen only because vol expanded” problem, at the cost of potentially under participating in explosive upside if volatility rises during a trend.
Long short directional effect
Because direction is an EMA cross:
In strong trends, the direction stays stable and the scaled return stream compounds in that trend direction.
In choppy ranges, the EMA cross can flip and create whipsaws, which is where fees and regime filtering matter most.
Regime filter effect
The 50 and 200 style filter tries to:
Keep the system active in sustained up regimes.
Reduce exposure during long down regimes or extended weakness.
It will always be late at turning points, by design. It is a slow filter meant to reduce deep participation, not to catch bottoms.
Common applications
This script is mainly for understanding and research, but conceptually, volatility targeting overlays are used for:
Risk budgeting normalize risk so your exposure is not accidentally huge in high vol regimes.
System comparison see how a simple trend model behaves with and without vol scaling.
Parameter exploration test how target volatility, lookback length, and regime lengths change the shape of equity and drawdowns.
Framework building as a reference blueprint before implementing a proper strategy() version with trade based execution logic.
Tuning guidance
Lookback lower values react faster to vol shifts but can create unstable scaling, higher values smooth scaling but react slower to regime changes.
Target volatility higher targets increase exposure and drawdown potential, lower targets reduce exposure and usually lower drawdowns, but can under perform in strong trends.
Signal EMAs tighter EMAs increase trade frequency, wider EMAs reduce churn but react slower.
Regime EMAs slower regime filters reduce false toggles but will miss early trend transitions.
Fees if you crank this up you will see how sensitive higher turnover parameter sets are to friction.
Final note
This is a compact educational demonstration of a volatility targeted, long short single asset framework with a regime gate and a synthetic equity curve. If you want a production ready implementation, the correct next step is to convert this concept into a strategy() script, add realistic execution and cost modeling, test across multiple timeframes and market regimes, and validate out of sample before making any decision based on the results.
GoldHook Reversal ProGoldHook Reversal Pro v7 is an advanced market structure indicator designed to identify high-probability turning points. It automatically detects where price is accumulating—and monitors for specific momentum shifts that signal a valid Breakout or Reversal. By filtering out market noise with its "Smart Adaptive" logic, it helps traders distinguish between false moves and genuine trend opportunities, providing clear entry signals with built-in risk management targets.
Neural Markets [Institutional]Neural Markets is a proprietary technical analysis algorithm designed for structural trend identification and volatility filtering.
The script combines two core engines to generate high-probability market insights:
1. Volatility Engine:
Uses dynamic standard deviation bands (Volatility Bands) adjusted by a proprietary multiplier to filter out market noise. The logic adapts to expanding or contracting market phases to reduce false signals during consolidation.
2. Trend Filter (Smart Mode):
Integrates an Institutional EMA-based logic (Exponential Moving Average) to determine the macro-bias. Signals are only generated when price action aligns with the dominant trend, filtering out counter-trend noise.
KEY FEATURES:
- Non-Repainting Logic: All signals are permanent once the candle closes.
- Military Dashboard (HUD): Real-time display of Trend, Volatility, and Algorithm Status.
- Visual Cloud: Instant identification of the support/resistance zones based on volatility.
- Clean Chart: Optimized for professional use, minimizing visual clutter.
WARNING:
This is an Invite-Only script. Access is restricted to authorized members for educational and analytical purposes only. It does not constitute financial advice.
Clean chart visualization suitable for professional trading.
WARNING: This is a restricted access tool (Invite-Only). It is strictly for educational and analytical purposes.
Quantum X StrategyQuantum X Strategy is a structured market-behavior based trading model developed for Midcap Nifty on the 15-minute timeframe.
It focuses on identifying directional strength, momentum alignment, and price participation using a multi-factor confirmation approach.
Rather than relying on a single indicator, the strategy evaluates multiple dimensions of price movement to determine whether the market environment is favorable for participation. This helps in avoiding random entries during low-quality or sideways conditions.
🔍 Conceptual Framework
The strategy dynamically observes:
Momentum expansion and contraction
Trend participation strength
Directional consistency over recent price action
Each market condition contributes to an internal decision process, allowing trades only when sufficient alignment is present. This approach helps filter out noise and improves trade selectivity.
📊 Trade Execution Philosophy
Trades are initiated only when market structure shows clear directional intent
Both bullish and bearish opportunities are evaluated independently
Positions are exited when momentum balance weakens or returns to a neutral state
No over-trading during indecisive phases
The system is designed to stay inactive during uncertain market conditions, which is a key part of its risk-aware behavior.
🕒 Backtesting Scope
For consistency and reliability, the strategy logic is activated only from January 2024 onward, ensuring analysis is focused on recent market behavior rather than outdated volatility patterns.
⚙️ Usage Guidelines
Instrument: MIDCAPNIFTY
Timeframe: 15 Minutes
Suitable for intraday and short-term positional observation
Works best when combined with disciplined risk management
⚠️ Disclaimer
This strategy is provided strictly for educational and research purposes.
Market conditions change, and past performance does not guarantee future results. Users should always forward-test and apply their own risk management before live use.
Malama's Range BreakoutMalama's Range Breakout is a dynamic Pine Script v6 indicator designed to automatically detect periods of price consolidation (tight ranges) on any timeframe or market, visually highlight them with expandable boxes, and generate actionable signals for breakouts and wick-based reversals.
Key Features
Adaptive Consolidation Detection: Uses a volatility-adjusted threshold (ATR multiplier) over a user-defined lookback period to identify genuinely tight ranges, avoiding false detections in trending or high-volatility conditions.
Preset Profiles: Quickly switch between optimized settings for different trading styles:
Tight Ranges (Scalping): Short lookback, low threshold for frequent small-range setups.
Normal Ranges (Intraday): Balanced for day trading.
Swing Trading: Longer lookback for larger consolidations.
Options Selling (Chop): Very low threshold to capture extended sideways/choppy phases.
Custom: Full manual control.
Visual Elements: Draws semi-transparent boxes around detected ranges (with optional dashed midline), dynamically extending them until a valid breakout occurs. Limits historical boxes for clean charts.
Breakout Signals: Triggers buy/sell labels and alerts only on confirmed breakouts, optionally requiring a volume spike (above SMA threshold) for higher-probability momentum moves.
Wick Reversal Signals: Detects rejection wicks touching range boundaries (without closing outside), signaling potential fakeouts or early reversals. Optional next-bar confirmation (e.g., bearish candle after upper wick) reduces false signals.
Built-in Alerts: Separate alert conditions for range detection, bullish/bearish breakouts, and confirmed/unconfirmed wick reversals.
How It Works
The script continuously monitors the price range over the selected lookback period. When the range contracts below the ATR-based threshold, it initiates a consolidation box starting from the tightest point. The box expands with new highs/lows while price remains inside.
A true breakout closes outside the box (with optional volume confirmation) → ends the range and plots a directional signal.
Wicks probing boundaries without closing outside → flags potential rejection/reversal zones inside the range.
This combination helps traders anticipate volatility expansion after compression, while distinguishing strong momentum breakouts from traps/false breaks.
Why It's Useful
Unlike fixed-time Opening Range Breakout (ORB) tools or simple consolidation detectors, this indicator adapts to current market volatility (via ATR) and works across all timeframes—ideal for scalping tight intraday ranges, capturing swing consolidations, or identifying chop for premium-selling strategies. The volume filter and wick reversal detection add confluence, helping avoid low-conviction trades in ranging markets.
Usage Tips
Best on liquid assets (stocks, futures, forex, crypto).
Combine breakouts with trend filters (e.g., higher-timeframe EMA) for directional bias.
Use wick signals cautiously in strong trends—they shine in ranges or at key levels.
Test presets on your preferred timeframe; "Normal" is a solid default for most intraday work.
No repainting: All logic based on confirmed closes.
DR.SS.SMART BUY/SMARTSELL SCALPER1️⃣ BEST TIMEFRAME
Use this as a scalper / intraday trend tool
✅ Best
5 min
15 min
⚠️ Avoid
1 min (too noisy)
Daily (signals become late)
2️⃣ FIRST CHECK – MARKET CONDITION (Dashboard)
Before taking any trade, look at the Smart Panel (Dashboard):
✔ Trade ONLY when:
Market State = Trending
Volatility = Active
Trend Pressure = Bullish or Bearish
At least 3–4 MTF boxes are same color
❌ Avoid trades when:
Market State = No trend / Ranging
Purple candles (ADX sideways)
Remember:
T-V-T rule → Trend + Volatility + Timeframe agree
3️⃣ BUY SETUP (LONG TRADE)
✅ Conditions in your code:
Price crosses ABOVE Supertrend
Close ≥ SMA 13
Bar color turns BLUE
Price above EMA 200 → Smart Buy
ADX not sideways (no purple bars)
📍 Chart shows label:
“Buy” → normal buy
“Smart Buy” → high-probability trade (BEST)
🔵 HOW TO ENTER BUY
Enter at candle CLOSE where Buy / Smart Buy appears
Do NOT enter mid-candle
🛑 STOP LOSS (Auto from code)
SL = ATR-based stop
Shown as red SL line
👉 Safe rule:
Never widen SL
🎯 TARGETS (Auto plotted)
TP1 = 1:1
TP2 = 2:1
TP3 = 3:1
📌 Recommended management:
Book 50% at TP1
Move SL to Entry
Hold rest till TP2 / Trail
4️⃣ SELL SETUP (SHORT TRADE)
✅ Conditions:
Price crosses BELOW Supertrend
Close ≤ SMA 13
Bar color turns RED
Price below EMA 200 → Smart Sell
No sideways (ADX > 15)
📍 Label shown:
“Sell”
“Smart Sell” (BEST)
🔴 HOW TO ENTER SELL
Enter at close of signal candle
Follow same SL & TP rules
5️⃣ SUPPLY & DEMAND CONFIRMATION (POWER FILTER)
🔹 Best Buy:
Price near Demand Zone
Then Smart Buy appears
🔹 Best Sell:
Price near Supply Zone
Then Smart Sell appears
👉 These are institutional entries
6️⃣ WHEN NOT TO TRADE ❌
Avoid trades when:
Purple candles (Sideways)
Supertrend flipping repeatedly
MTF dashboard mixed colors
During low-volume sessions
7️⃣ SESSION WISE BEST PERFORMANCE
From your session logic:
✅ Best Scalping:
London
London + New York overlap
⚠️ Avoid:
Mid-Tokyo (low volatility)
8️⃣ PERFECT TRADE CHECKLIST (SAVE THIS)
Before clicking BUY/SELL, ask:
✔ Smart Buy / Smart Sell?
✔ Price above/below EMA 200?
✔ Dashboard trend agrees?
✔ No sideways candles?
✔ Volatility Active?
👉 If 4 out of 5 = YES → TAKE TRADE
9️⃣ SIMPLE ONE-LINE STRATEGY
Trade only Smart Buy/Sell in trending market, book partial at 1:1, trail rest with Smart Trail
✅ BEST TRADING SESSIONS (Use ONLY these)
🥇 LONDON SESSION (BEST & SAFE)
🕒 12:30 PM – 4:30 PM IST
Why best for your script
Clean trends
Good volatility
Less fake signals
Supertrend + EMA200 works perfectly
👉 This should be your PRIMARY session
🥈 LONDON → NEW YORK OVERLAP (MOST POWERFUL)
🕒 6:00 PM – 8:30 PM IST
Why
Institutional money enters
Strong breakouts
Smart Buy / Smart Sell accuracy highest
👉 Use only Smart signals in this session
🥉 NEW YORK SESSION (Early Part Only)
🕒 6:00 PM – 9:00 PM IST
Use when
Market State = Trending
Volatility = Active
MTF mostly same color
⚠️ Stop after 9:00 PM IST
❌ SESSIONS TO AVOID
🚫 TOKYO SESSION
🕒 5:30 AM – 10:30 AM IST
Low volatility
Sideways (purple candles)
Many fake reversals
🚫 SYDNEY SESSION
🕒 2:30 AM – 5:30 AM IST
Very low volume
Not suitable for scalping
🚫 INDIAN MIDDAY
🕒 11:00 AM – 12:15 PM IST
Choppy
Stop-hunting candles
📌 BEST DAILY ROUTINE (Follow This)
Time (IST) Action
9:15 – 10:30 ❌ Avoid (fake moves)
12:30 – 4:30 ✅ TRADE (Best zone)
6:00 – 8:30 ✅ TRADE (High accuracy)
After 9:00 ❌ Avoid
🧠 EASY MEMORY RULE (Your Style)
“LON → NY = MONEY” 💰
“ASIA = NO TRADE” ❌
🎯 FINAL RECOMMENDATION
If you want only ONE session:
👉 Trade ONLY: 12:30 PM – 4:30 PM IST
This will give:
Less stress
Higher win-rate
Cleaner Smart Buy/Sell signals
🇮🇳 BEST TRADING SESSIONS (INDIA – IST)
🥇 LONDON SESSION – BEST FOR INDIAN TRADERS
🕒 12:30 PM – 4:30 PM IST
✅ THIS IS THE BEST SESSION
Strong trend moves
High accuracy Smart Buy / Smart Sell
Less sideways (purple candles reduce)
Works perfectly with Supertrend + EMA 200
👉 Use this as your MAIN session
🥈 LONDON → NEW YORK OVERLAP (POWER SESSION)
🕒 6:00 PM – 8:30 PM IST
✅ Very strong moves
Institutional activity
Best breakouts
High RR trades (2:1 / 3:1)
⚠️ Trade only Smart Buy / Smart Sell
⚠️ Avoid over-trading
🥉 INDIAN MARKET OPEN (LIMITED USE)
🕒 9:20 AM – 10:15 AM IST
✔ Use only if:
Dashboard = Trending
Volatility = Active
Direction same as higher TF
❌ Avoid after 10:30 AM
❌ SESSIONS TO AVOID (INDIA)
Session Time (IST) Reason
Tokyo 5:30 – 10:30 AM Sideways / fake moves
Mid-day Chop 11:00 – 12:15 PM Low volume
Late NY After 9:00 PM Whipsaws
📌 BEST DAILY ROUTINE (INDIA)
Time What to Do
9:15 – 9:20 ❌ No trade
9:20 – 10:15 ⚠️ Only clean Smart signals
12:30 – 4:30 ✅ MAIN TRADING WINDOW
6:00 – 8:30 ✅ HIGH PROBABILITY
After 9:00 ❌ Stop trading
🧠 EASY MEMORY RULE
“INDIA → LONDON → MONEY” 💰
“ASIA MIDDAY → NO TRADE” ❌
🎯 FINAL ANSWER (ONE-LINE)
👉 For India (IST), trade ONLY between
12:30 PM – 4:30 PM and 6:00 PM – 8:30 PM
FxAST LiteWave Universal Profiles (intraday / swing)FxAST Lite Wave — Universal (Profiles)
This strategy is intended for educational and analytical use.
Derivative works must retain attribution and license terms.
_____________________________________________________________________________
Overview
FxAST Lite Wave is a rule-based trend participation strategy designed to adapt across multiple markets and timeframes using a simple profile switch.
Rather than attempting to predict reversals or tops and bottoms, the strategy focuses on identifying continuation opportunities once directional alignment and market participation are already present.
Its purpose is to provide a structured, repeatable framework for studying trend behavior and managing trades within established directional moves.
_______________________________________________________________________________
How It Works
FxAST Lite Wave evaluates market conditions using a layered confirmation process that includes:
• Directional bias
• Trend alignment
• Momentum participation
• Volatility suitability
• Market regime awareness
Trades are only considered when these conditions align, helping to reduce low-quality signals and overtrading during unfavorable environments.
Two built-in profiles are provided:
Intraday — designed for shorter-term participation
Swing — designed for higher-timeframe continuation
_______________________________________________________________________________
Core Concepts (Plain English)
Direction
Identifies which side of the market is currently in control.
This answers:
“Is pressure aligned for continuation?”
_______________________________________________________________________________
Momentum
Confirms that price is moving with intent rather than drifting or stalling.
This answers:
“Is participation present?”
_______________________________________________________________________________
Regime
Filters out unfavorable conditions such as congestion, compression, or low-energy chop.
This answers:
“Is this a tradable environment?”
_______________________________________________________________________________
Continuation Focus
Entries are designed to occur after alignmen t, not at arbitrary turning points.
The strategy favors:
• Pullbacks within trend
• Momentum resumption
• Sustained directional movement
_______________________________________________________________________________
Risk & Trade Management
FxAST Lite Wave includes structured trade management logic:
• Volatility-aware initial risk
• Optional partial profit taking
• Optional breakeven and trailing behavior
• Optional time-based exits
• Optional equity-based position sizing
A built-in on-chart Backtesting HUB displays live performance statistics for transparency and review.
_______________________________________________________________________________
Philosophy
FxAST Lite Wave is intentionally not a signal-spamming strategy .
It is designed to:
• Reduce decision fatigue
• Encourage rule-based consistency
• Support disciplined execution
If you need:
precise entries → use price action
precise exits → use structure
system context → use Lite Wave
_______________________________________________________________________________
Disclaimer
This strategy is provided for educational and analytical purposes only and does not constitute financial advice. Trading involves risk, and users are responsible for their own decisions. responsible for their own decisions.
ChartSignals.AIChartSignals.AI is an overlay indicator designed to simplify chart reading by highlighting potential trade opportunities and providing optional visual context tools.
WHAT YOU’LL SEE
• Buy/Sell signals displayed directly on the chart
• Optional trade level guides (Entry / Take Profit / Stop Loss) to help structure a plan
• Optional trend and zone overlays to help interpret market conditions
• Optional key levels and breakout markers for additional context
• Dynamic candle coloring to help visualize momentum vs. quieter conditions
HOW TO USE (SIMPLE)
• Add ChartSignals.AI to your chart
• Choose a Signal Mode (controls how frequently signals appear)
• Enable/disable the optional overlays you want
• Use signals as chart assistance and confirm with your own analysis and risk management
ALERTS
This script includes alert conditions for:
• Buy, Sell, general signal notifications, and key level break events (when enabled).
DISCLAIMER
For educational and charting purposes only. Not financial advice. Trading involves risk and you are responsible for your own decisions.
Momentum Pulse Pro [MTF]# Momentum Pulse Pro
## What It Does
Detects when price momentum is stretched to extremes. The indicator analyzes momentum and highlights when the market is overextended — either too hot or too cold.
- **Green background** = Low momentum, potential bounce ahead
- **Red background** = High momentum, potential reversal ahead
- **Stronger color** = Stronger signal
## The Panel
Displays a Momentum Index from 0-100:
- **Below 30** = Stretched to the downside
- **30-70** = Neutral zone
- **Above 70** = Stretched to the upside
## How to Use
1. Wait for the background to change color
2. Stronger color = higher probability setup
3. Use as a filter for your strategy — don't trade it alone
## Settings
- **Colors** — Customize green/red
- **Transparency** — Background visibility
- **Confluence Intensity** — How fast color intensifies
- **Panel Position** — Move the info panel
## Alerts
- Momentum enters extreme zone
- Momentum strengthens or weakens inside extreme zone
## Good to Know
- Non-repainting
- Works on any market
- Best on 4H chart or lower
FTL Context Teaser - PublicFTL Context (Teaser) – Public
FTL Context (Teaser) is a visual market context layer designed to highlight periods of increased market risk and structural tension.
This script does NOT provide trading signals and is NOT intended for standalone trading decisions.
It serves as a contextual overlay only, helping traders visually identify when market conditions shift away from equilibrium.
The teaser version is intentionally limited and does not expose the underlying logic or decision framework.
Full functionality, advanced filters, and integrated decision logic are available in the invite-only FTL Context Layer (PRO).
📩 Contact / PRO access:
fairtradinglab@gmail.com
Educational & informational use only.
Trinity Bollinger Bands Pro with BreakoutsTrinity Bollinger Bands Pro Indicator
The **Trinity Bollinger Bands Pro + Triple Bands & Expansion** is a highly customized, advanced volatility and breakout indicator built on the classic Bollinger Bands framework. It expands the standard single-pair bands into **three independent deviation levels** (typically 1σ, 2σ, and 3σ) around a user-selectable moving average basis (default EMA 20). This creates clear "zones" of volatility, with dynamic trend-based coloring, layered fills, fixed-style labels, and a statistical volatility expansion detector shown as a directional background highlight in a separate pane. The result is a visually intuitive tool that helps traders identify consolidation, building momentum, confirmed trends, and rare explosive moves with high-probability filtering.
### Why It's Good and Different from Standard Indicators
This indicator stands out by addressing common limitations of traditional Bollinger Bands and multi-deviation scripts:
- **Layered statistical significance**: Unlike single (2σ) or basic double-band setups, it provides three distinct levels—early momentum (1σ), standard confirmation (2σ), and extreme/rare breakouts (3σ)—making it easier to stage trades progressively rather than relying on one ambiguous cross.
- **Trend-aware visuals**: Bands, basis, and fills change color based on price position relative to a separate trend MA, giving immediate bullish/bearish bias without needing additional indicators.
- **Clean, fixed labels**: Tiny, arrow-pointing labels ("1/2/3 SD Above/Below", "BB Basis") with consistent colors (purple upper, blue lower, yellow basis) provide instant identification
- **Statistical expansion detection**: Uses percentile ranking of band width "bell curve" concept" to identify abnormally high volatility, triggering directional background highlights (green bullish, red bearish) earlier than raw width spikes.
- **Reduced noise and fakeouts**: Tiered breakouts + expansion filter focus alerts on high-probability moves, unlike most BB scripts that flood signals on every touch.
Compared to popular public scripts (e.g., standard Bollinger Bands, Triple BB variants, or separate BBW Percentile tools), this combines everything into one cohesive indicator with superior visual clarity and statistical rigor.
### Key Features
- **Triple customizable bands**: Enable/disable and adjust multipliers for 1σ (early), 2σ (confirmed), 3σ (extreme) deviations.
- **Trend-based dynamic coloring**: Separate editable colors for each band set (bullish/bearish).
- **Layered zone fills**: Colored between bands with transparency, reflecting current trend.
- **Fixed tiny labels**: All left-pointing arrows with purple (upper), blue (lower), yellow (basis) backgrounds for quick reference.
- **Statistical expansion overlay**: with directional background (green/red) during extreme volatility expansions (earlier trigger using 2σ width).
- **Tiered alerts**: Early (Band 1), Confirmed (Band 2), Extreme (Band 3), High-Probability (Extreme + expansion), and general expansion alerts.
- **Fully configurable basis**: Length, type (SMA/EMA/WMA/RMA), and thin fixed lines for minimal clutter.
### How Traders Can Use It
- **Spot squeezes and breakouts**: Watch for tight bands (low width) → expansion background → price closing outside Band 1 (early entry), Band 2 (add/confirm), Band 3 (strong trend conviction).
- **Filter fakeouts**: Only act on crosses accompanied by expansion background color matching trend direction—dramatically reduces whipsaws.
- **Trend riding**: Price "walking" colored bands (e.g., hugging upper purple-label bands in green background = strong bullish momentum).
- **Scalping/intraday**: On lower timeframes (e.g., 10min), use early Band 1 signals with expansion for quick moves.
- **Swing/position trading**: Wait for Band 3 extreme breakout + colored background for higher-probability, larger moves.
- **Risk management**: Place stops near basis or inner band; trail using outer bands during expansions.
Overall, this indicator excels at turning volatility into actionable, staged signals with visual simplicity—ideal for traders seeking an edge in identifying real explosive trends over noise. It's particularly powerful on volatile stocks like AMD/INTC or indices during news/events.
Trinity Real Move Detector DashboardRelease Notes (critical)
1. This code "will" require tweaks for different timeframes to the multiplier, do not assume the data in the table is accurate, cross check it with the Trinity Real Move Detector or another ATR tool, to validate the values in the table and ensure you have set the correct values.
2. I mention this below. But please understand that pine code has a limitation in the number of security calls (40 request.security() calls per script). This code is on the limit of that threshold and I would encourage developers to see if they can find a way around this to improve the script and release further updates.
What do we have...
The Trinity Real Move Detector Dashboard is a powerful TradingView indicator designed to scan multiple assets at once and show when each one has genuine short-term volatility "energy" — the kind that makes directional options trades (especially 0DTE or short-dated) have a high probability of follow-through, and can be used for swing trading as well. It combines a simple ATR-based volatility filter with a SuperTrend-style bias to tell you not only if the market is "awake" but also in which direction the momentum is leaning.
At its core, the indicator calculates the current ATR on your chosen timeframe and compares it to a user-defined percentage of the asset's daily ATR. When the short-term ATR spikes above that threshold, it signals "enough energy" — meaning the underlying is moving with real force rather than choppy noise. The SuperTrend logic then determines bullish or bearish bias, so the status shows "BULLISH ENERGY" (green) or "BEARISH ENERGY" (red) when energy is on, or "WAIT" when it's not. It also counts how many bars the energy has been active and shows the current ATR vs threshold for quick visual confirmation.
The dashboard displays all this in a clean table with columns for Symbol, Multiplier, Current ATR, Threshold, Status, Bars Active, and Bias (UP/DOWN). It's perfect for 3-minute charts but works on any timeframe — just adjust the multiplier based on the hints in the settings.
Editing symbols and multipliers is straightforward and user-friendly. In the indicator settings, you'll see numbered inputs like "1. Symbol - NVDA" and "1. Multiplier". To change an asset, simply type the new ticker in the symbol field (e.g., replace "NVDA" with "TSLA", "AVGO", or "ADAUSD"). You can also adjust the multiplier for each asset individually in the corresponding "Multiplier" field to make it more or less sensitive — lower numbers give more signals, higher numbers give stricter, higher-quality ones. This lets you customize the dashboard to your watchlist without any coding. For example, if you switch to a 4-hour chart or a slower-moving stock like AVGO, you may need to raise the multiplier (e.g., to 0.3–0.4) to avoid false "bullish" signals during minor bounces in a larger downtrend.
One important note about the multiplier and timeframes: the default values are optimized for fast intraday charts (like 3-minute or 5-minute). On higher timeframes (15-minute, 1-hour, 4-hour, or daily), the SuperTrend bias can be too sensitive with low multipliers (1.0 default in the code), leading to situations like the AVGO 4-hour example — where price is clearly downtrending, but the dashboard shows "BULLISH ENERGY" because the tight bands flip on small bounces. To fix this, you need to manually increase the multiplier for that asset (or all assets) in the settings. For 4-hour or daily charts, 0.25–0.35 is often better to match smoother SuperTrend indicators like Trinity. Always test on your timeframe and asset — crypto usually needs slightly lower multipliers than stocks due to higher volatility.
TradingView has a hard limit of 40 request.security() calls per script. Each asset in the dashboard requires several calls (current ATR, daily ATR, SuperTrend components, etc.), so with the full ATR-based bias, you can safely monitor about 6–8 assets before hitting the limit. Adding more symbols increases the number of calls and will trigger the "too many securities" error. This is a platform restriction to prevent excessive server load, and there's no official way around it in a single script. Some advanced coders use tricks like caching or lower-timeframe requests to squeeze in a few more, but for reliability, sticking to 6–8 assets is recommended. If you need more, the common workaround is to create two separate indicators (e.g., one for stocks, one for crypto) and add both to the same chart.
Overall, this dashboard gives you a professional-grade multi-asset scanner that filters out low-energy noise and highlights real momentum opportunities across stocks and crypto — all in one glance. It's especially valuable for options traders who want to avoid theta decay on weak moves and only strike when the market has true fuel. By tweaking the per-symbol multipliers in the settings, you can perfectly adapt it to any timeframe or asset behavior, avoiding issues like the AVGO false bullish signal on higher timeframes.
HMM Trend Exhaust Detector (Partial TP Areas)🔹 HMM Trend Exhaust Detector (Partial TP Areas)
HMM Trend Exhaust Detector is a professional risk-management and partial profit awareness tool, designed to highlight moments when price becomes over-extended within a strong trend.
This indicator is not an entry system and not a reversal predictor.
It is built to help traders protect profits, manage open positions, and avoid chasing price when the market is already stretched.
🧠 How it works (Simple Explanation)
When price moves aggressively away from its trend structure:
The candle color changes in real time, warning that price is entering a potential exhaustion zone.
A dotted guide level appears at the exact threshold price, showing where profit pressure begins.
After the candle closes, Partial TP Areas are marked on the chart to provide structure and context.
This two-step approach ensures:
Live awareness during the candle
Confirmed visual zones after close
🎯 What this indicator is best used for
✔ Partial profit booking
✔ Risk reduction during strong trends
✔ Avoiding late entries into extended moves
✔ Trade management & discipline
⚙️ Sensitivity Modes
The indicator includes a single Sensitivity setting to adapt to different trading styles:
Relaxed → Earlier warnings, more frequent partial TP zones
Strict → Balanced, institutional default
Very Strict → Only major, extreme exhaustion moves
(All internal calculations are handled automatically.)
📌 Important Notes
This indicator does not generate buy or sell signals.
Rectangle height is just based on candle heights at that time (Not strength based)
Partial TP Areas are confirmed after candle close by design.
Live candle highlighting and guide levels provide real-time awareness, not prediction.
Best used alongside your existing strategy or entries.
🧩 Recommended Use
Scalping / Fast markets → Relaxed
Intraday trading → Strict
Swing / News / Higher timeframes → Very Strict
🚀 About HMM
House of Market Minds -(HMM) indicators focus on clarity, discipline, and decision support — not hype or unrealistic promises.
This is the first public release in the HMM series, built with a long-term professional vision.
VIX Term Structure Pro [v7.0 Enhanced]# VIX Term Structure Pro v7.0
[! (img.shields.io)](www.tradingview.com)
[! (img.shields.io)](www.tradingview.com)
[! (img.shields.io)](LICENSE)
**Professional VIX-based Market Sentiment & Timing Indicator**
专业的 VIX 市场情绪与择时指标
---
## 🌟 Overview / 概述
VIX Term Structure Pro is an advanced multi-factor market timing indicator that analyzes the VIX futures term structure, volatility regime, and market breadth to generate actionable buy/sell signals.
VIX Term Structure Pro 是一款高级多因子市场择时指标，通过分析 VIX 期货期限结构、波动率区间及市场广度，生成可操作的买卖信号。
---
## 🚀 Key Features / 核心功能
### 📊 Multi-Factor Scoring System / 多因子评分系统
- **Term Structure Z-Score**: Measures deviation from historical mean / 期限结构 Z 分数：衡量与历史均值的偏离
- **VIX/VX1 Basis**: Spot premium detection for panic signals / VIX 现货溢价：恐慌信号检测
- **Contango Analysis**: Futures curve shape insights / 期货升水分析
- **SKEW Integration**: Options skew for tail risk / SKEW 整合：尾部风险监测
- **Put/Call Ratio**: Sentiment extremes / 看跌/看涨比率：情绪极端
- **VVIX Support**: Volatility of volatility (optional) / VVIX 支持：波动率的波动率
### 🎯 Three-Tier Signal System / 三级信号系统
| Signal | Score | Description |
|--------|-------|-------------|
| 🚨 **CRASH BUY** | ≥ 6 | Extreme panic, rare opportunity / 极端恐慌，罕见机会 |
| 🟢 **STRONG BUY** | ≥ 5 | Multi-factor confluence / 多因子共振 |
| 🟡 **BUY DIP** | ≥ 4 | Accumulate on weakness / 逢低吸纳 |
| 🟠 **SELL/HEDGE** | ≤ -2 | Consider reducing risk / 考虑减仓对冲 |
| 🔴 **STRONG SELL** | ≤ -5 | Strong bearish signals / 强烈看跌信号 |
| 🔥 **EUPHORIA SELL** | ≤ -6 | Extreme greed, sell signal / 极度贪婪，卖出信号 |
### 📈 Dashboard Indicators / 仪表盘指标解读
| Indicator | Bullish 🟢 | Bearish 🔴 |
|-----------|------------|------------|
| Overall Bias | STRONG BUY / BUY DIP | STRONG SELL / SELL/HEDGE |
| AI Score | ≥ 5 (Extreme Fear) | ≤ -5 (Extreme Greed) |
| Market Trend | 🟢SPX 🟢NDX (Above MA200) | 🔴SPX 🔴NDX (Below MA200) |
| VIX Regime | LOW VOL (<15) | HIGH VOL (>25) |
| Term Struct Z | < -2.0 (Panic) | > 2.0 (Complacency) |
---
## ⚙️ Configuration / 配置选项
### 📡 Data Sources / 数据源
- **VIX Symbol**: Default `CBOE:VIX` (Alternative: `TVC:VIX`)
- **Put/Call Ratio**: Default `INDEX:CPCI` (Index P/C)
- **Timeframe**: Daily (stable) or Chart (real-time)
### ⚠️ Strategy Mode / 策略模式
- **High (Scalping)**: Sensitive, for short-term trades / 高敏感，短线
- **Normal (Swing)**: Balanced approach / 平衡模式
- **Low (Trend/Safe)**: Conservative, trend-following / 保守，趋势跟踪
### 🔬 Backtest Mode / 回测模式
- **OFF (Real-time)**: Shows current day data, suitable for live monitoring / 显示当日数据，适合实盘监控
- **ON (Historical)**: Uses only confirmed data, avoids look-ahead bias / 仅使用已确认数据，避免未来函数
---
## 📖 Usage Guide / 使用指南
### Best Practices / 最佳实践
1. **Apply to SPX/SPY/QQQ daily charts** for optimal signal accuracy
在 SPX/SPY/QQQ 日线图上使用，信号准确度最佳
2. **Wait for next trading day** to execute signals (signals trigger on daily close)
信号触发后在下一交易日执行（信号基于日线收盘）
3. **Use in conjunction with price action** for confirmation
结合价格走势确认信号
4. **Enable Market Trend Filter** (MA200) for safer entries in uncertain markets
开启趋势过滤（MA200）以在不确定市场中更安全入场
### Signal Interpretation / 信号解读
```
🚨 CRASH BUY (Score ≥ 6)
→ Rare extreme panic event
→ Historical average return: significant positive over 2 months
→ Consider aggressive positioning
🟢 STRONG BUY (Score ≥ 5)
→ Multiple indicators align
→ Historical average return: positive over 1 month
→ Consider building positions
🟡 BUY DIP (Score ≥ 4)
→ Moderate fear detected
→ Suitable for adding to existing positions
→ Filtered out in bear markets if Trend Filter is ON
```
---
## 📊 Historical Statistics / 历史统计
The indicator tracks signal frequency and average subsequent returns:
- **CRASH BUY**: 40-day return period (~2 months)
- **STRONG BUY**: 20-day return period (~1 month)
- **BUY DIP**: 10-day return period (~2 weeks)
指标追踪信号频率和后续平均收益，可在仪表盘中查看历史统计。
---
## 🔔 Alerts / 警报
Built-in alert conditions with cooldown mechanism to prevent spam:
| Alert | Condition |
|-------|-----------|
| Crash Buy Alert | Score ≥ 6, extreme panic |
| Strong Buy Alert | Score ≥ 5, multi-factor confluence |
| Buy Dip Alert | Score ≥ threshold |
| Euphoria Sell Alert | Score ≤ -6, extreme greed |
| Strong Sell Alert | Score ≤ -5 |
| VIX Basis Panic | VIX spot premium spike |
---
## 📋 Changelog / 更新日志
### v7.0 (Current)
- ✨ Three-tier buy/sell signal system
- 📊 Signal statistics with average return tracking
- 🔬 Backtest Mode toggle for historical testing
- 🎨 Configurable ±1 Z-Score reference lines
- ⚡ Modular scoring functions
- 🛡️ Dual index trend display (SPX + NDX)
- 📱 Compact & Full dashboard modes
---
## ⚠️ Disclaimer / 免责声明
**English:**
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always do your own research and consider your risk tolerance before trading.
**中文：**
本指标仅供教育和信息参考，不构成投资建议。过往表现不代表未来收益。交易前请自行研究并评估风险承受能力。
---
## 📄 License / 许可证
MIT License - Feel free to use, modify, and share.
---
## 🤝 Contributing / 贡献
Issues and pull requests are welcome!
欢迎提交问题和贡献代码！
---
**Made with ❤️ for the trading community**
**为交易社区用心打造**
ATR Trailing StopATR Trailing Stop (Dynamic Volatility Regimes)
==============================================
This indicator implements an adaptive ATR-based trailing stop for long positions. The stop automatically adjusts based on stock volatility, tightening during fast movements and widening during calm periods. It is designed as a trade management tool to help protect profits while staying aligned with strong trends.
How It Works
------------
* Tracks the highest high over a configurable lookback window and ensures this “top” never moves downward.
* Computes the trailing stop as:**Top – ATR × Dynamic Multiplier**
* The ATR multiplier changes depending on volatility:
* Low volatility → Wide stop (slower trailing)
* Medium volatility → Standard trailing
* High volatility → Tight stop (faster trailing)
* The trailing stop only moves upward; it never decreases.
* If price falls significantly below the stop (default: 5%), the system resets and begins trailing from a new top.
* An optional price-scale label displays:
* Current stop value
* Volatility regime (LOW / MID / HIGH)
* ATR percentage and active multiplier
Alerts
------
Two alert conditions are included:
### Trailing Stop – Near
Triggers when price moves within a user-defined percentage above the stop.
### Trailing Stop – Hit
Triggers when price touches or closes below the stop.
How to Use
----------
1. Add the indicator to any chart (daily timeframe recommended).
2. Configure:
* ATR length
* Lookback bars
* Volatility thresholds
* ATR multipliers
3. Set alerts for early warnings or stop-hit events.
4. Use the stop line as a dynamic risk-management tool to guide exit decisions and protect profits.
Notes
-----
* Designed for long-only trailing logic.
* This indicator does not generate entry signals; it is intended for stop management.
Recovery Adaptive Strategy [Starbots]🔁 Recovery Adaptive Strategy
Recovery Adaptive Strategy is an advanced, single-position trading strategy designed for professional traders who require adaptive exposure control, dynamic profit targeting, and rule-based recovery mechanics in high-volatility market environments.
The strategy applies a structured loss-streak framework where position sizing and take-profit objectives evolve systematically based on prior trade outcomes, while maintaining strict one-position execution at all times.
🧠 Strategic Framework
This strategy is built around a controlled adaptive execution model:
Only one position is active at any time
Each closed trade directly influences the parameters of the next entry
After a losing trade:
Position size scales according to a defined factor
Take-profit expands proportionally using a configurable multiplier
After a winning trade:
All parameters reset to their base configuration
Scaling progression is capped via a configurable maximum step limit
The methodology is designed to efficiently capitalize on expansion phases, volatility impulses, and directional inefficiencies, making it particularly suitable for high-volatility instruments and regimes.
⚙️ Adaptive Position Management
Position Sizing Modes
Percentage of Equity
Fixed Base Currency Amount (USDT / USD / EUR, etc.)
Each subsequent step applies a configurable size multiplier, enabling precise control over exposure progression across loss streaks.
🎯Dynamic Take-Profit Scaling
Take-profit levels increase automatically with each scaling step
A dedicated TP multiplier allows fine-tuning of profit expansion behavior
All targets are recalculated and updated dynamically while positions are open
Execution Control
Single-position logic (no grid, no concurrent hedging)
Optional forced exit and full reset upon reaching the maximum scaling step
Bar-confirmed execution to avoid signal repainting
📈 Signal Generation & Market Filters
The strategy supports multiple professional-grade entry models, selectable via settings:
MACD (12,26,9)
DMI (14)
RSI (70 / 30)
Stochastic (14,3,3)
Bollinger Bands + RSI
Market Structure (BOS / CHoCH)
Additional execution layers include:
Higher-timeframe signal evaluation
Volatility-based trade filtering
EMA trend alignment
Flat-market detection (optional)
The strategy is optimized for active, volatile markets, where price expansion and follow-through are frequent.
📊 Institutional-Style Analytics & Visualization
Integrated analytics provide full transparency into strategy behavior:
Adaptive Scaling Table
Position size per step
Take-profit expansion per step
Loss-streak hit distribution
On-Chart Execution Labels
Equity Usage Overview
Monthly & Yearly Performance Calendar
Backtest vs. Leverage Projection Dashboard
All dashboards and visual components are optional and configurable.
🧩 Intended Use
This strategy is designed for:
Advanced discretionary traders
Systematic traders
Quantitative research and optimization
High-volatility instruments and environments
It emphasizes structure, adaptability, and execution discipline, rather than static position sizing or fixed targets.
Macro Pulse Engine (Fixed Feeds)The Macro Engine aggregates key macro signals (DXY, 10Y yields, VIX, market breadth, and major indices) into a single risk-on vs risk-off read.
Green / positive readings favor risk-taking and dip-buying
Red / negative readings signal caution, volatility expansion, and defensive positioning
The score updates off confirmed daily closes, not noisy intraday data
It doesn’t predict direction — it confirms whether risk is being rewarded or punished.
FTL Context - Public TeaserFTL Context (Teaser) – Public
FTL Context (Teaser) is a visual market context layer designed to highlight periods of increased market risk and structural tension.
This script does NOT provide trading signals and is NOT intended for standalone trading decisions.
It serves as a contextual overlay only, helping traders visually identify when market conditions shift away from equilibrium.
The teaser version is intentionally limited and does not expose the underlying logic or decision framework.
Full functionality, advanced filters, and integrated decision logic are available in the invite-only FTL Context Layer (PRO).
Educational & informational use only.
Golden Volume Lines📌 Golden Volume — Lines (Golden Team)
Golden Volume — Lines is an advanced volume-based indicator that detects Ultra High Volume candles using a statistical percentile model, then automatically draws and tracks key price levels derived from those candles.
The indicator highlights where real market interest and liquidity appear and shows how price reacts when those levels are broken.
🔍 How It Works
Volume Measurement
Choose between:
Units (raw volume)
Money (Volume × Average Price)
Average price can be calculated using HL2 or OHLC4.
Percentile-Based Classification
Volume is classified into:
Medium
High
Ultra High Volume
Thresholds are calculated using a rolling percentile window.
Ultra Volume candles are colored orange.
Dynamic High & Low Levels
For every Ultra Volume candle:
A High and Low dotted line is drawn.
Lines extend to the right until price breaks them.
Smart Line Break Detection (Wick-Based)
A line is considered broken when price wicks through it.
When a break occurs:
🟧 Orange line → broken by an Ultra Volume candle
⚪ White line → broken by a normal candle
The line stops exactly at the breaking candle.
🔔 Alerts
Alert on Ultra High Volume candles
Alert when a High or Low line is broken
Separate alerts for:
Break by Ultra Volume candle
Break by Normal candle
🎯 Use Cases
Breakout & continuation confirmation
Liquidity sweep detection
Volume-validated support & resistance
Market reaction after extreme participation
⚙️ Key Inputs
Volume display mode (Units / Money)
Percentile thresholds
Lookback window size
Maximum number of active Ultra levels
Optional dynamic alerts
⚠️ Disclaimer
This indicator is a volume and market structure tool, not a standalone trading system.
Always use proper risk management and additional confirmation.
Vega Convexity Engine [PRO]ENGINEERED ASYMMETRY.
This is the flagship Stage 2 Specialist Model of the Vega Crypto Strategies ecosystem.
While the free "Regime Filter" tells you when to trade (filtering out chop), the Convexity Engine tells you how to trade. It activates only when the Regime Filter confirms an Impulse, classifying the specific vector of the market move to maximize risk-adjusted returns.
PRO FEATURES
This script visualizes the output of our Hierarchical Machine Learning Engine:
🚀 Directional Classification:
It does not just say "Buy." It classifies volatility into 4 distinct probability classes:
- EXPLOSION: High-confidence, high-velocity upside (Fat-Tail).
- RALLY: Standard trend continuation.
- PULLBACK: Short-term correction opportunity.
- CRASH: High-confidence downside (Long Squeeze Detection).
🛡️ Dynamic Risk Engine (Intraday Stops):
The "+" markers on your chart represent the Vega Institutional Stop Loss . These levels dynamically adjust based on Average True Range (ATR) and Volatility Z-Scores.
Strategy: If price breaches the "+" marker, the hypothesis is invalidated. Exit immediately.
📊 Institutional HUD:
A professional heads-up display showing the current Regime, Vector, and Risk Deployment status in real-time.
THE PHILOSOPHY
"Convexity" means limited downside with unlimited upside. By combining the Regime Filter (sitting in cash during noise) with Dynamic Stops (cutting losers fast), this engine is designed to capture the "fat tails" of the crypto market distribution.
🔒 HOW TO GET ACCESS
This is an Invite-Only script. It is strictly for members of Vega Crypto Strategies .
To unlock access, please visit the link in the Author Profile below or check our signature. Once subscribed via Whop, your TradingView username will be automatically authorized instantly.
Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results. Trading cryptocurrencies involves significant risk.
GHOST SNIPERGHOST SNIPER™ – BB Reversal Engine + Smart Entry / Exit Structure Core
MNQ / MES / Stocks / ETFs / Crypto / FX
BB Reversals · Breakouts · PD Structure · Liquidity Sweeps · Displacement · Smart Targets · Quick SL & TP Logic
________________________________________
Summary
Ghost Sniper™ is a high-precision reversal and breakout engine designed for intraday scalping on MNQ/MES, while remaining highly effective across equities, ETFs, crypto, and FX.
It blends a custom Bollinger Reversal Framework (BB Bottom / BB Top Sniper) with an internal ICT-style structure core to filter noise and isolate only high-quality turning points.
The system reads stretch and failure conditions, detects band breakouts, and identifies Bollinger Band failures to anticipate sharp reversals. It includes a Quick TP (QTP) and Quick SL (SL-Q) module for micro-scalps, along with full ICT-style structural targets (TP1, TP2, TP3) for extended runs.
All TP levels and SL placement are derived from smart structural logic, designed to reduce premature stop-outs and improve fill reliability during volatility.
Real-time intrabar logic ensures entries trigger the moment structure confirms — no repainting.
________________________________________
BUY / SELL Signal Activation & Checklist HUD
Ghost Sniper™ uses a rule-based BUY / SELL triggering system driven by real-time structural confirmation — not delayed indicators or hindsight logic.
Entries only activate when a multi-condition internal checklist aligns, combining:
• Bollinger stretch, failure, or breakout behavior
• Liquidity sweep or rejection context
• Micro structure confirmation (BOS / displacement)
• Premium / Discount positioning
• Momentum and reversal candle confirmation
A built-in Checklist Activation HUD visually displays when conditions are forming, aligning, or fully confirmed, allowing traders to see why a signal is valid — not just that it fired.
BUY / SELL signals trigger only when checklist confirmation is reached, filtering low-probability setups and maintaining clean, high-quality entries.
All logic operates intrabar and in real time, with no repainting.
________________________________________
Market Structure & Context Awareness
Ghost Sniper™ incorporates a streamlined ICT-inspired framework, including:
• Liquidity sweep awareness (stop-runs and grabs)
• Micro BOS confirmation
• Premium / Discount context
• Impulse and displacement reads
• Reversal candle assist
• Optional PD / HTF alignment gates
To support institutional-grade context without visual clutter, Ghost Sniper™ also includes a comprehensive set of fully optional, user-selectable tools, allowing traders to tailor the chart to their workflow:
• VWAP
• Up to 5 configurable moving averages
• Bollinger Bands
• Automatic liquidity sweep level detection
• Opening Range Breakout (ORB)
• Midnight Open
• 9:30 AM New York Open
• Previous Day High / Low (PDH / PDL)
• Previous Week High / Low (PWH / PWL)
• Current Week High / Low (CWH / CWL)
• Monthly High / Low
• Previous Month High / Low (PMH / PML)
• Global session tracking, including:
o Asia Session
o London Session
o New York Session
All levels and context tools are individually selectable, designed to provide structure and bias awareness while keeping charts clean and focused.
________________________________________
Execution & Risk Logic
Ghost Sniper™ automatically prints clean, minimal BUY / SELL signals, intelligent stop placement, and progressive target logic:
QTP → TP1 → TP2 → TP3
A built-in Break-Even engine, structural invalidation logic, and one-trade-at-a-time control help maintain disciplined execution and consistent risk management.
Designed for traders who want a fast, decisive, and high-probability entry engine without visual noise or unnecessary complexity.
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Disclaimer
This tool is for educational and research purposes only and is not financial advice.
Always test thoroughly in replay or paper trading before using in live markets.
