Quantum Regression Oscillator [ICN]The Problem: The Lag of Standard Oscillators
Most traders rely on the Relative Strength Index (RSI) or MACD to gauge momentum. While these are legendary tools, they suffer from a critical flaw: Lag. They calculate what has happened, often giving signals after the move is already halfway done.
The Quantum Regression Oscillator (QRO) was built to solve this. It is not a simple average; it is a predictive engine.
The "Quantum" Math (How It Works)
Instead of using standard smoothing (like SMA or EMA) which drags data backward, the QRO uses Linear Regression Analysis on the RSI data itself.
Linear Regression Core : The script calculates the "Line of Best Fit" for momentum in real-time. This allows the oscillator to react to price changes faster than price itself in some instances, effectively "predicting" the next tick of momentum.
Dynamic Volatility Bands : Unlike fixed bands (e.g., 70/30 on RSI), the QRO uses standard deviation bands that expand and contract with market volatility. This means "Overbought" is not a fixed number—it adapts to the market's energy.
Visual Guide : Reading the Oscillator
1. The Quantum Line (The Main Curve)
What it is : The smooth, fast-moving line oscillating between 0 and 100.
How to read it:
Crossing Midline (50) : The baseline for trend. Above 50 is Bullish Momentum; Below 50 is Bearish Momentum.
Slope : Because it uses regression, the angle of the line is a signal itself. A sharp turn often precedes price action.
2. The Dynamic Bands (The Shaded Zones)
What they are: The Blue (Lower) and Red (Upper) zones.
How to read it:
Oversold (Blue Zone) : When the line enters the Blue zone, price is statistically overextended to the downside. This is a "Sniper Buy" zone.
Overbought (Red Zone) : When the line enters the Red zone, price is statistically overextended to the upside. This is a "Sniper Sell" zone.
3. Divergence Detection
The QRO is excellent at spotting divergences. If Price makes a Higher High but the QRO makes a Lower High (while in the Red Zone), a reversal is mathematically probable.
Integration with the ICN Suite
While this oscillator is powerful as a standalone tool, it is the "Engine" behind the Institutional Confluence Nexus .
Standalone : Use it to spot divergences and momentum shifts with zero lag.
With ICN : The main chart indicator reads data from this oscillator to generate "Sniper" and "Pullback" signals automatically.
Settings & Customization
QRO Length: The lookback period for the base RSI calculation.
Regression Length: The sensitivity of the linear regression curve (Lower = Faster/More Noise, Higher = Smoother/More Lag).
Smoothing: Additional filtering to remove market noise.
For Developers (Open Source)
I believe in the power of open-source education. Developers can view the source code to learn:
How to implement ta.linreg (Linear Regression) on top of other indicators.
How to create dynamic bands using ta.stdev (Standard Deviation).
How to create smooth color gradients using plot transparency.
Disclaimer:
This tool is a mathematical aid for technical analysis. It does not predict the future. Always use proper risk management.
指标和策略
SMC Structure [PickMyTrade]Concept & Methodology
This strategy is an implementation of Smart Money Concepts (SMC) logic combined with structured risk management rules. The purpose of the script is to demonstrate how market structure analysis and position sizing logic can be applied in a systematic, rule-based approach.
The design emphasizes consistency, trade management, and controlled risk rather than signal frequency.
How It Works
1. Market Structure Detection
The strategy evaluates market structure using swing points:
Swings are identified using pivot highs and lows with a configurable lookback period.
Break of Structure (BOS) is detected when price breaks a prior swing level, indicating a potential structural shift or continuation.
Order Blocks are identified after a valid BOS and represent the candle range associated with the structure break.
2. Entry Logic
After a valid structure break, the strategy waits for price to retrace into the identified Order Block zone. Optional filters can be enabled to refine entries:
Trend Filter: Uses the 50 EMA to align trades with directional bias.
Volatility Filter: Uses ATR to avoid low-volatility conditions.
Candle Confirmation: Requires a directional candle within the Order Block area.
3. Risk Management Logic
Risk is handled through predefined and configurable rules:
Dynamic Position Sizing: Position size is calculated based on a fixed percentage of account equity and the distance to the stop loss.
Multiple Take-Profit Levels (optional):
TP1 at a fixed risk-to-reward ratio.
TP2 with an optional trailing stop mechanism.
Stop loss placement is derived from structure-based levels.
Settings Guide
Risk and Position Sizing: Controls the percentage of equity risked per trade.
Filters: Enable or disable trend, volatility, and confirmation logic.
Display Options: Toggle structure points, order blocks, and trade labels.
Strategy Explanation (Code Overview)
The script defines realistic strategy properties such as commission, margin, and pyramiding limits to improve backtesting accuracy.
Market structure is identified using pivot-based swing detection, with BOS logic tracking the most recent swing levels. Order Blocks are derived from candles preceding valid structure breaks.
Trade execution occurs only when no active position is present. Entry conditions require price interaction with a valid Order Block and confirmation from enabled filters. Position size is calculated dynamically based on risk settings.
Exit management supports partial exits at predefined risk-to-reward levels, with optional trailing stop logic for remaining position size.
A statistics panel is displayed on the chart to summarize current settings and account information. This panel is informational only and does not affect strategy logic or results.
Disclaimer
This strategy is provided for educational and analytical purposes only. It does not constitute financial or investment advice. Past performance does not guarantee future results. Users should independently evaluate and backtest the strategy on their own instruments and timeframes before using it for any trading decisions.
Thuonggsclap- Preferred indicator: 5m wave, mainly using Scalps
- MA9: timing for entry
- EMA34: short-term trend (scalp)
- EMA89: medium-term trend
- EMA200: major trend / noise filter
👉 Suggestions:
- Only BUY when price > EMA34 & EMA89
- Avoid SELL when price is still above EMA200
SK INTRAY SETUPthis indicator help to trade in the primary trend direction with align and in direction of the trend
(5M) REG SuperTrend Pullback SystemThis indicator implements a rule-based SuperTrend pullback system
designed for short-term trend continuation.
Core features:
• Regression-based SuperTrend with flip detection
• Pullback + reclaim entry logic (non-repainting, bar-close confirmed)
• Regime filter (Trend vs Range suppression)
• Exhaustion detection to avoid late entries
• ADX + EMA bias alignment
• USDT Dominance risk filter (risk-on / risk-off)
• Clear BUY / SELL and Pullback AI-style entry labels
This is NOT a trading bot and does NOT place orders.
All signals are for analytical and educational purposes only.
Konigs | Bollinger Band Mean Reversion (Session Filter)Core Idea:
In sideways markets, price tends to revert to the mean (the middle band).
Strategy:
Buy when price touches or moves below the lower band.
Sell when price reaches or exceeds the upper band.
Exit at the middle band (20-period moving average).
Confirm with: RSI/Stochastic or candle patterns for reversal at the bands.
Only works with low-volatility instruments:
EURCHF
Filter certain time to avoid unexpected volatility
Neeson Crypto Cycle - Super Enhanced EditionThe "Neeson Crypto Cycle - Super Enhanced Edition": A Philosophical and Practical Framework for Market Analysis
Originality & Core Philosophy
Most trading indicators focus on a single domain: pure price action, a specific economic theory, or a handful of technical oscillators. The "Neeson Crypto Cycle" breaks this paradigm. Its fundamental originality lies not in inventing one new mathematical formula, but in architecting a multi-dimensional, multi-timeframe convergence framework. It operates on a core philosophical premise: financial markets are Complex Adaptive Systems (CAS) influenced by a symphony of concurrent cycles. These cycles range from mathematical and technical ones visible on the chart, to fundamental economic rhythms, down to collective human psychology and even speculative meta-patterns.
The script is built as a "dashboard of dashboards," attempting to quantify and visualize these disparate layers on a single pane. It does not claim predictive certainty but aims to provide a holistic situational awareness, allowing the trader to identify when multiple, unrelated cycles from different domains align (convergence) or conflict (divergence).
What It Does & How It Achieves It
The indicator functions as a comprehensive market-phase and sentiment analysis engine implemented directly on the TradingView chart. It is an overlay indicator that provides visual plots, background coloring, signal labels, and, most notably, extensive multi-table data panels.
Its implementation can be broken down into several operational layers:
1. The Core Technical Cycle Layer:
This is the foundational price-based engine. It simultaneously tracks multiple proprietary cyclical models derived from moving average crossovers with non-standard periods believed to capture crypto-specific rhythms.
CCT Pi Cycle: Uses the interaction between a 150-period EMA / 471-period SMA pair (for "bottom" identification) and a 111-period SMA / (350-period SMA * 2) pair (for "top" identification). It identifies golden/death crosses within these specific pairs.
Atlantean Signals: A variant using similar periods (471, 150, 350, 111) but with different multipliers (e.g., 0.745) and crossover logic to define "Market Bottom," "Bull Market Start," and "Market Top" events.
Bitcoin Cycle: Based on the interaction between a 116-period SMA and a doubled 365-period SMA.
Golden Pi Cycle: Another variant using SMAs of 111, 350, 150, and 471 periods.
These are not just four random moving average systems; they are distinct models targeting different aspects of the purported "Pi-based" and long-term cyclicality in Bitcoin's price history. The script visually plots these lines and labels their crossover events.
2. The Market Phase & Structural Context Layer:
Background Coloring: It dynamically colors the chart background (blue for "Bottom to Top" phase, orange for "Top to Bottom" phase) based on the sequential logic of Atlantean signals, providing immediate visual context for the perceived market regime.
Halving Event Annotations: It marks key historical and projected Bitcoin halving dates with vertical lines and labels, anchoring price action to this fundamental supply schedule.
3. The Quantitative Dashboard Layer (Technical & On-Chain):
This is where the script transitions from chart plotting to an information system. It renders multiple fixed tables on the chart (bottom-left, bottom-center, bottom-right) only on the last bar.
Technical Sentiment Dashboard (Right): A massive table aggregating over a dozen classic and advanced technical indicators (RSI, MACD, Bollinger Bands, Stochastic, ADX, Ichimoku, Parabolic SAR, Fibonacci levels, etc.). For each, it shows a calculated Status (e.g., "Overbought"), a numeric Value, and a concise Advice (e.g., "Sell"). It then groups these into "Cycle Indicators" (status of the core models above) and "Risk Management" metrics (Max Drawdown, Sharpe Ratio simulation, volatility).
Synthetic On-Chain Metrics Dashboard (Center): Since TradingView cannot pull real on-chain data, the script ingeniously simulates 80 different on-chain metrics (NVT, MVRV, Hash Rate, Exchange Flows, HODL Waves, S2F, etc.) by deriving them from price and volume data. Each metric displays a name, a simulated value, a signal ("Overvalued"), and a color code. This provides a proxy for the fundamental/network health narrative.
Multi-Cycle Systems Dashboard (Left): This table transcends traditional finance, cataloging the status of various long-wave cycles:
Economic Cycles: Kondratieff (50-60yr), Kuznets (15-25yr), Juglar (7-11yr), Kitchin (3-5yr), etc., each with a hardcoded current phase (e.g., "Recession (2020-2030)"), impact, and advice.
Speculative & Novel Cycles: Lunar, Seasonal, Commodity Super, Debt, and Innovation cycles.
Esoteric Systems: A full celestial (astrological) positioning of planets and a Four Pillars of Destiny (Bazi) reading, each with assigned market "impact" and "advice."
4. The Synthesis & Alert Layer:
Comprehensive Statistics: The right dashboard concludes with a tally of "Bullish vs. Bearish Signals" from across all technical and cycle indicators, generating an "Overall Sentiment" score.
Alert System: It creates TradingView alert conditions for every major crossover event from the core cycle models (CCT, Atlantean, Bitcoin, Golden Pi), allowing for automated notifications.
Underlying Calculation Logic & Rationale
The logic is built on convergence and weighted evidence. The creator's hypothesis appears to be that significant market turning points are rarely signaled by one indicator in isolation. Instead, they occur when:
Multiple Price-Based Cycle Models Align: When the CCT, Atlantean, and Bitcoin cycles all approach a "bottom" or "top" signal near the same time, the probability of a true phase change is considered higher.
Technical Conditions Match the Cycle Phase: A "Bull Market Start" signal is more credible if accompanied by oversold RSI/Stochastic, bullish MACD, and money flowing in (rising OBV).
The Macro Backdrop Supports the Narrative: The script hardcodes a specific macroeconomic worldview (e.g., "Tightening Credit Cycle," "AI Revolution Tech Cycle") to remind the user of the broader environment the price cycles are operating within.
Awareness of "Non-Rational" Drivers: By including astrological and Bazi elements, the script acknowledges that market narratives and crowd psychology can sometimes be influenced by or framed within these non-traditional systems. It doesn't necessarily predict with them but tracks them as potential sentiment catalysts.
The calculations for technical indicators are standard. The novelty is in their collective presentation and the synthetic creation of supporting data realms (on-chain, economic, esoteric) to form a complete, albeit highly speculative, "universe" of market-influencing factors.
How to Use It: A Practical Guide
This is not a "set and forget" system that generates simple buy/sell arrows. It is a decision-support and research tool.
Market Phase Identification: First, look at the background color and the status of the core cycle models in the right dashboard. Are you in a blue "Bottom to Top" phase? Check if the Atlantean "Bull Market Start" is active. This sets your primary bias.
Seeking Convergent Signals: Before acting on a cycle signal, cross-reference it with the Technical Sentiment dashboard. For example, an Atlantean "Market Top" signal is stronger if the RSI and Stochastic also show "Overbought," the MACD is "Bearish," and the Fear & Greed Index is in "Extreme Greed." Look for clusters of agreement.
Context from Other Dimensions: Check the On-Chain dashboard. Does the synthetic data suggest the network is "Overheated" or "Undervalued"? Check the Economic Cycle table. Does the perceived long-wave phase (e.g., "Kondratieff Recession") support a risk-on or risk-off stance? This provides narrative context for your trade thesis.
Risk Management Integration: Before sizing a position, check the Risk Management section. What is the current "Max Drawdown" and "Volatility Risk"? The dashboard suggests position sizing ("Light," "Medium," "Heavy") based on this.
Utilizing Alerts: Set alerts for the key cycle crossovers (CCT, Atlantean, etc.). When an alert triggers, it's your cue to open the chart and perform the full multi-dimensional convergence analysis described above, rather than acting on the alert alone.
In essence, the "Neeson Crypto Cycle" is a conceptual trading terminal. It posits that the modern trader, especially in crypto, must synthesize information from technicals, fundamentals, macroeconomics, and market psychology. By attempting to model all these facets in one place—even through estimation and simulation—it aims to give the user a structured framework for asking the right questions about the current state of the market, rather than providing simplistic, one-dimensional answers. Its value is in the breadth of its perspective and the discipline of multi-factor confirmation it encourages.
Chotkiy Rasklad 1.5Chotkiy Rasklad v1.5
Chotkiy Rasklad v1.5 is a professional-grade Multi-Timeframe (MTF) market scanner designed for precision day trading and scalping.
Unlike standard indicators that lag, this system focuses on Confluence . It visualizes the alignment of Price Action, Institutional Trend Filters, and Volatility across 6 timeframes simultaneously (1m to Daily).
New in v1.5: Integration of the ADX Color Engine to visually identify trend strength and "Overheated" (Parabolic) states instantly.
🚀 CORE FEATURES
MTF Dashboard: A real-time heads-up display monitoring 1m, 5m, 15m, 1h, 4h, and 1D timeframes. Trend Confluence Algorithm: Signals are generated only when Heikin Ashi structure aligns with SMA 200, EMA 200, and VWAP. ADX Volatility Engine: Color-coded ADX cells to filter out chop and highlight extreme momentum. Session Awareness: Automatically flags the "Opening Mess" and specific trading sessions to provide context. No Repainting: All logic is based on confirmed candle states and real-time data.
📊 STRATEGY LOGIC
The system uses a strict "Waterfall" logic. A BUY or SELL signal in the "ACTION" row is only generated if ALL the following conditions are met:
1. Institutional Filters (The Bias) To ensure we trade with the "Smart Money," the script checks three key levels: Long Condition: Price > SMA 200 AND Price > EMA 200 AND Price > VWAP. Short Condition: Price < SMA 200 AND Price < EMA 200 AND Price < VWAP.
2. Momentum & Structure (The Trigger) Candle Structure: Requires a sequence of 3 consecutive Heikin Ashi candles (Green for Long, Red for Short) with valid step-up/step-down structures. HARSI Filter: Uses Heikin Ashi RSI to confirm momentum direction (> 50 for Bulls, < 50 for Bears).
3. ADX Volatility Engine (The Safety) The Dashboard displays the raw ADX value with specific background colors to guide your decision: Gray (< 20): NO TRADE ZONE. The market is choppy/consolidating. Signals here are likely fakeouts. Yellow (20 - 25): Waking Up. Volatility is increasing; a trend may be starting. Bright Green (26 - 50): PRIME ZONE. Strong, healthy trend. The best probability for entry. Sky Blue (> 50): EXTREME / PARABOLIC. The trend is overheated. Be cautious of "V-Shape" reversals or exhaustion.
🎯 HOW TO READ THE DASHBOARD
The Dashboard is located in the top-right corner.
Scan the "ACTION" Row: Look for a column (e.g., 5m or 15m) that says BUY (Green) or SELL (Red). If it says WAIT (Gray), the filters do not align.
Verify with ADX: Is the ADX cell below it Green or Yellow? Good. Is it Gray ? Skip the trade. Is it Sky Blue ? Tighten your stop-loss immediately.
Check Higher Timeframes: If you are scalping the 5m, ensure the 15m and 1h columns are also colored in your direction.
⚙️ SETTINGS
Global Filters: Custom lengths for SMA and EMA (Default: 200). HARSI Settings: Sensitivity of the momentum filter. Time Settings: Define your local Opening/Morning/Evening sessions for the "TIME" row status. Dashboard: Toggle visibility, change size (Tiny/Small/Normal), and adjust vertical/horizontal offsets.
⚠️ DISCLAIMER This tool is for educational and informational purposes only. It does not constitute financial advice. Trading involves significant risk. Always manage your risk appropriately. Past performance is not indicative of future results.
© 2026 Sergei Seivach
XAUUSD Pro Swing Strategy (RR 1:2)//@version=5
strategy("XAUUSD Pro Swing Strategy (RR 1:2)", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=2)
// ===== INPUTS =====
emaFastLen = input.int(20, "Fast EMA")
emaMidLen = input.int(50, "Mid EMA")
emaTrendLen = input.int(200, "Trend EMA (HTF)")
rsiLen = input.int(14, "RSI Length")
atrLen = input.int(14, "ATR Length")
atrSLMult = input.float(1.5, "ATR SL Multiplier")
rr = input.float(2.0, "Risk Reward")
// ===== HTF TREND =====
htfEMA = request.security(syminfo.tickerid, "D", ta.ema(close, emaTrendLen))
// ===== INDICATORS =====
emaFast = ta.ema(close, emaFastLen)
emaMid = ta.ema(close, emaMidLen)
rsi = ta.rsi(close, rsiLen)
atr = ta.atr(atrLen)
// ===== TREND CONDITIONS =====
bullTrend = close > htfEMA and emaFast > emaMid
bearTrend = close < htfEMA and emaFast < emaMid
// ===== ENTRY CONDITIONS =====
buyCond = bullTrend and ta.crossover(emaFast, emaMid) and rsi > 55
sellCond = bearTrend and ta.crossunder(emaFast, emaMid) and rsi < 45
// ===== SL & TP =====
buySL = close - atr * atrSLMult
buyTP = close + (atr * atrSLMult * rr)
sellSL = close + atr * atrSLMult
sellTP = close - (atr * atrSLMult * rr)
// ===== ORDERS =====
if buyCond
strategy.entry("BUY", strategy.long)
strategy.exit("BUY EXIT", "BUY", stop=buySL, limit=buyTP)
if sellCond
strategy.entry("SELL", strategy.short)
strategy.exit("SELL EXIT", "SELL", stop=sellSL, limit=sellTP)
// ===== PLOTS =====
plot(emaFast, color=color.orange)
plot(emaMid, color=color.blue)
plot(htfEMA, color=color.red, linewidth=2)
plotshape(buyCond, style=shape.labelup, text="BUY", color=color.green, location=location.belowbar)
plotshape(sellCond, style=shape.labeldown, text="SELL", color=color.red, location=location.abovebar)
Stoic Edge POI HHLL TrZo MA V3For Stoic Traders at StoicEdge.com by @Lobo-Trader © Pineify Claude (Pineify AI) assisted in writing this code"
Market Dashboard: Vol %, Trend, ATR (Custom Colors)Market Dashboard: Volume %, Trend & ATR
This indicator provides a compact at-a-glance market dashboard directly on your chart, helping you quickly assess order flow bias, trend direction, and volatility without clutter.
What it shows:
Bull vs Bear Volume % over a customizable lookback, with flexible doji handling (ignore, assign, or split).
Trend direction using EMA crossovers on both the current timeframe and a higher timeframe for context.
ATR value with an optional percentage-of-price display to gauge volatility and position sizing.
Key features:
Fully customizable colors, text size, and table position
Higher timeframe trend confirmation
Clean table design that updates on the latest bar only
Ideal for traders who want quick confirmation before entries, improved market bias awareness, and better risk/volatility context while scalping or swing trading.
RSI like Volume Bars + MARsi bars that appear the way volume bars do to give a cleaner look with a moving average throughout the day to catch momentum and trends.
FDAX MarrellFDAX ONR + Range/Trend Confirm + 15m FVG (CET) — Indicator Description
This indicator is designed for FDAX traders who trade 15m Fair Value Gaps (FVG) using 1m confirmation (CISD/SMC execution) and want to avoid getting chopped in range days.
What it does
Overnight Range (ONR) module (00:00–08:55 CET)
Draws the Overnight box.
Calculates and displays key ON metrics:
ONR – overnight range size
Score – overnight directional efficiency (how “one-way” the move was)
Loc – where price closed inside the overnight range (close location)
Flags a Pre-Range bias when overnight behavior suggests a higher probability of a choppy/session-range environment.
Range vs Trend confirmation (European open logic)
Builds the Opening Range (OR30) box (09:00–09:30 CET).
Tracks TR60 (09:00–10:00 CET) for early volatility expansion.
Confirms the session state:
WAIT – no confirmation yet
CONFIRMED RANGE – conditions point to a balanced/choppy day
CONFIRMED TREND – volatility expansion and acceptance outside OR indicates a trending day
15m FVG overlays
Plots 15m FVG zones (bullish/bearish) as clean extending boxes.
Optional filters:
Show FVGs only when CONFIRMED TREND (to avoid taking FVGs in chop).
Hide FVGs inside the EQ zone (mid-range) to reduce low-quality setups.
Why it’s useful
Range days are where most stop streaks happen when trading FVG + 1m confirmation. This indicator helps you:
Identify when the market is likely to be balanced/choppy
Wait for trend confirmation before taking aggressive FVG plays
Focus only on high-probability FVG locations aligned with session conditions
Best use
Use the indicator on FDAX (EUREX) with 15m / 5m context and execute on 1m.
Prioritize FVGs during CONFIRMED TREND and be selective (or reduce size) during WAIT / CONFIRMED RANGE.
If you want, I can also write a shorter “TradingView public script style” description (2–3 lines + bullet features), or a more marketing/premium description for your community.
Key Zone$ - Support and Resistance0DTE Bounce Zones (6M) — Support & Resistance with VWAP, Volume, and Risk Management
This indicator is built for intraday and 0DTE options trading, focused on high-quality bounce and rejection setups at historically proven support and resistance zones.
It automatically identifies key zones from six months of historical price action and waits for real-time confirmation before signaling CALL or PUT opportunities. The goal is to reduce noise, avoid weak bounces, and provide clear, rules-based trade structure.
====================================================================
CORE FEATURES
====================================================================
Historical Support & Resistance Zones (6 Months)
Zones are built using 15-minute pivot highs and lows.
A zone must be tested at least 3 times to be considered valid.
Nearby zones are merged automatically to reduce clutter.
Zones extend forward in time and update dynamically.
Support zones are shown in green, resistance zones in red.
These are higher-quality structural levels, not same-day levels.
====================================================================
0DTE-Focused Entry Logic
Signals only trigger when price interacts with a confirmed zone and shows a strong rejection candle.
Signals are limited to high-probability trading windows only.
Market Open: 9:30–10:45 ET
Market Close: 3:00–4:00 ET
This avoids midday chop and focuses on periods with real momentum.
====================================================================
VWAP Confirmation (Strict)
CALL setups require a VWAP reclaim.
PUT setups require a VWAP loss.
This aligns trades with institutional order flow instead of counter-trend noise.
====================================================================
MACD Momentum Filter
MACD histogram behavior is used to confirm momentum direction and avoid taking bounces against the prevailing move.
====================================================================
ATR Candle Strength Filter
The signal candle must be large enough relative to ATR.
This filters out weak or indecisive candles that often fail with 0DTE.
====================================================================
Advanced Volume Confirmation (Relative Volume)
Relative Volume (RVOL) is used instead of raw volume.
Different RVOL thresholds are applied for CALLS versus PUTS.
Higher RVOL is required for PUTS due to downside urgency.
Lower RVOL is allowed for CALLS due to grind-up behavior.
Separate RVOL thresholds are used for the market open and market close.
This ensures signals only occur when real participation is present.
====================================================================
Built-In Risk Management (2:1 Reward/Risk)
Every signal automatically calculates an entry, stop loss, and target.
Stop loss is based on the zone edge with an ATR buffer.
Targets default to a 2:1 reward-to-risk ratio.
Entry, stop, and target levels are drawn directly on the chart and included in alerts.
====================================================================
Smart Alerts (CALLS & PUTS)
Alerts trigger only when all conditions are met.
Alerts include trade direction, entry price, stop price, target price, and RVOL information.
Alerts are designed for 5-minute confirmation trading.
To use alerts, select “Any alert() function call” when creating the alert.
====================================================================
INTENDED USE
====================================================================
0DTE options trading.
5-minute chart confirmation.
Index ETFs and liquid equities such as SPY, QQQ, IWM, and SPX.
Traders who want aggressive entries with confirmation.
Traders who value structure, volume, and risk control.
====================================================================
NOTES
====================================================================
This is not a prediction tool.
Signals require discipline and confirmation.
Best results come from trading only the highest-quality setups.
SPY Options Targets -IV Expected MoveWhat this indicator is?
This tool turns option implied volatility into two things:
1) Expected move levels on the SPY chart for a chosen time horizon
2) Estimated option premium targets if SPY reaches those levels
It is built to answer three trading questions:
1) How far can SPY reasonably move in my holding window
2) What SPY levels should I use for profit targets or invalidation
3) If SPY hits those levels, what option price is a realistic target
What the bands mean on the SPY chart
The bands are expected move levels on the underlying, recalculated each bar from the selected option’s implied volatility.
One sigma band
The teal band is the expected one standard deviation move over the next Horizon minutes. In practice, this is a normal move zone for that holding window.
Two sigma band
The orange band is the expected two standard deviation move over the next Horizon minutes. In practice, this is a large move zone for that holding window.
How to interpret value
If price is near the middle of the bands, the market is behaving normally for that window.
If price approaches the one sigma band, the move is extended for that window.
If price approaches the two sigma band, the move is unusually large for that window and you should expect either strong continuation or sharp mean reversion depending on market context.
What the table means and how to use it
IV
Implied volatility solved from the selected option price. Higher IV widens the bands and increases option targets.
DTE
Days to expiry of the selected option. Near expiry options can change faster and IV can shift quickly.
H move 1 sigma
The projected one sigma SPY move in dollars for the selected Horizon minutes. This is the key number for planning.
Opt at plus 1 sigma and minus 1 sigma
If SPY reaches the one sigma upper band or the one sigma lower band, the indicator estimates what your selected option should be worth at that moment, assuming implied volatility does not change.
Opt at plus 2 sigma and minus 2 sigma
Same idea for the two sigma bands.
Now opt px
Current option price for reference.
.................................................................................................................
How to trade using it?
Step 1 Pick the right option input
Choose the same expiry you plan to trade and pick a liquid contract, ideally at the money or near the money. This makes the IV reading more representative of the current tape.
Step 2 Set the horizon to your holding time
If you typically hold 15 to 30 minutes, set Horizon minutes to 15 or 30.
If you typically hold 60 to 120 minutes, set it accordingly.
This matters because the bands represent expected move for that exact window.
Step 3 Use the bands to define trade planning
For a long bias
Entry is your setup. The bands are used for targets and risk.
Target 1 is the one sigma upper band.
Target 2 is the two sigma upper band if momentum supports continuation.
Invalidation can be defined as losing the mid zone and failing to reclaim, or a clear level based stop. The indicator does not choose your stop. It gives your realistic upside distance.
For a short bias
Target 1 is the one sigma lower band.
Target 2 is the two sigma lower band if momentum supports continuation.
Invalidation can be defined similarly using your structure.
Step 4 Use the option targets as profit taking levels
Once you enter an option trade, ignore random premium swings and anchor to the table.
Common approach
Take partial profit when the option approaches the plus or minus one sigma target value.
Hold a smaller runner for the plus or minus two sigma target value.
If SPY hits the one sigma band but the option is far below the table target, it usually means implied volatility is dropping. Reduce expectations or exit earlier.
If SPY hits the one sigma band and the option is above the table target, it usually means implied volatility expanded. Consider taking profits sooner because this extra premium can mean revert.
Step 5 Use it to choose strikes
Before entering, check whether your desired option profit requires SPY to travel to the two sigma band within your horizon.
If yes, that is a lower probability trade for that window.
If your plan is achievable around the one sigma band, it is typically more realistic.
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Practical examples
Scalp example
Horizon 30 minutes.
If H move 1 sigma is about 1 dollar, then expecting a 3 dollar SPY move in 30 minutes is a two to three sigma expectation and should be treated as a low probability scalp unless a news event is active.
Intraday example
Horizon 120 minutes.
If H move 1 sigma is about 2 dollars, a 2 dollar move is a reasonable target and a 4 dollar move is the stretch target.
Important limitations
Implied volatility changes
The option target prices assume IV stays constant. In real markets IV can change during the move, especially on 0DTE, around news, or during sharp selloffs. Treat option targets as a baseline estimate.
Not a standalone signal
This indicator does not generate buy or sell signals. Combine it with your entry model, structure, or momentum confirmation.
Liquidity matters
Very wide bid ask spreads can distort the inferred IV. Use liquid contracts.
Suggested defaults for SPY
Use a liquid near the money option for the current expiry.
Horizon 30 for scalps, 60 for intraday, 120 for swings.
Keep expiry time at 16:00 New York.
Disclaimer
This script is for educational and informational purposes only and is not financial advice. Options involve risk and may not be suitable for all traders.
Luminous Volatility Flux [Pineify]```
Luminous Volatility Flux - Dynamic ATR Bands with Hull Moving Average Baseline
The Luminous Volatility Flux indicator is a sophisticated trend-following and volatility analysis tool that combines the responsiveness of the Hull Moving Average (HMA) with adaptive ATR-based bands that expand and contract based on real-time market volatility conditions. This indicator helps traders identify trend direction, volatility regimes, and potential breakout opportunities with high-probability entry signals.
Key Features
Hull Moving Average baseline for low-lag trend detection
Dynamic volatility bands that breathe with market conditions
Flux Factor system comparing short-term vs long-term ATR
Volatility-filtered breakout signals to reduce false entries
Gradient-filled zones for intuitive visual analysis
Real-time bar coloring based on trend direction
How It Works
The indicator operates on three core calculation layers:
1. Hull Moving Average Baseline
The foundation of this indicator is the Hull Moving Average, calculated using the formula: WMA(2*WMA(n/2) - WMA(n), sqrt(n)). Unlike traditional moving averages, the HMA dramatically reduces lag while maintaining smoothness. This makes it ideal for identifying trend changes earlier than conventional EMAs or SMAs. When the HMA is rising, the baseline turns green indicating bullish momentum; when falling, it turns red for bearish conditions.
2. Volatility Flux Factor
The unique aspect of this indicator is the Flux Factor calculation. It compares short-term ATR (default 14 periods) against long-term ATR (default 100 periods) to determine the current volatility regime:
Flux Factor > 1.0 = Volatility Expansion (market is more volatile than usual)
Flux Factor < 1.0 = Volatility Compression (market is in a squeeze)
This ratio creates a dynamic multiplier that causes the bands to expand during high volatility periods and contract during consolidation phases.
3. Dynamic Band Calculation
The upper and lower bands are calculated as: Baseline ± (Short ATR × Multiplier × Flux Factor). This means the bands automatically widen when volatility increases and tighten during quiet market conditions, providing context-aware support and resistance levels.
Trading Ideas and Insights
Trend Following: Trade in the direction of the baseline color. Green baseline suggests looking for long opportunities; red baseline suggests short opportunities.
Volatility Breakouts: The indicator plots "Flux" signals when price breaks above the upper band (bullish) or below the lower band (bearish) during volatility expansion phases. These signals indicate potential momentum continuation.
Mean Reversion: During compression phases (tight bands), prices often revert to the baseline. Consider taking profits near the bands and re-entering near the baseline.
Squeeze Detection: When bands are unusually tight (Flux Factor < 1), the market is coiling for a potential explosive move. Prepare for breakout trades.
How Multiple Indicators Work Together
This indicator integrates three distinct technical analysis concepts into a cohesive system:
The Hull Moving Average provides the trend direction foundation with minimal lag. The dual ATR comparison (short vs long) creates the Flux Factor that measures relative volatility. The dynamic bands combine both elements, using the HMA as the center and ATR-based deviations that scale with the Flux Factor.
The synergy works as follows: The HMA identifies the trend, the Flux Factor determines market regime (expansion vs compression), and the bands provide dynamic support/resistance levels. Breakout signals only trigger when all components align - price breaks the band AND volatility is expanding. This multi-layered approach filters out many false signals that would occur with static bands or simple moving average crossovers.
Unique Aspects
Unlike Bollinger Bands that use standard deviation, this indicator uses ATR ratio-based dynamic bands that better capture directional volatility
The Flux Factor concept is original - comparing two ATR timeframes to create a volatility regime indicator
Breakout signals are filtered by volatility expansion, reducing false signals during choppy, low-volatility conditions
Gradient fills provide instant visual feedback on the strength of the bullish or bearish zones
How to Use
Add the indicator to your chart. It works on all timeframes and instruments.
Observe the baseline color for overall trend direction (green = bullish, red = bearish).
Watch for band expansion/contraction to gauge volatility regime.
Look for "Flux" signals for potential breakout entries - these appear only during volatility expansion.
Use the gradient zones to identify potential support (lower green zone) and resistance (upper red zone) areas.
Customization
Baseline Length (default: 24) - Controls the HMA period. Lower values = more responsive but noisier; higher values = smoother but more lag.
ATR Length (default: 14) - Short-term ATR period for band calculation. Standard setting works well for most markets.
Flux Multiplier (default: 2.0) - Controls band width. Increase for wider bands (fewer signals), decrease for tighter bands (more signals).
Flux Sensitivity (default: 100) - Long-term ATR period for Flux Factor calculation. Higher values create a more stable volatility reference.
Conclusion
The Luminous Volatility Flux indicator offers traders a comprehensive view of market conditions by combining trend detection, volatility analysis, and signal generation into one elegant tool. Its adaptive nature makes it suitable for various market conditions - from trending markets where it identifies direction and momentum, to ranging markets where it highlights compression and potential breakout zones. The volatility-filtered signals help traders focus on high-probability setups while the visual gradient fills make chart analysis intuitive and efficient.
Note: This indicator is designed as a technical analysis tool. Always use proper risk management and consider multiple factors before making trading decisions. Past performance does not guarantee future results.
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Band Walk Detector TENKYO [BASIC]Band Walk Detector TENKYO is a precision volatility analyzer designed for the 15-minute timeframe. It allows traders to visually verify the efficacy of the "TENKYO" logic, focusing strictly on high-probability breakout zones during specific market sessions.
Core Logic
This indicator is designed to capture the initial movement of a band walk. By filtering market noise through a specialized algorithm, it isolates the exact moment trend momentum begins to accelerate, providing a clear visual representation of market expansion.
Strategy Verification
This tool is engineered for rigorous market analysis and strategy confirmation. The backtest period can be set freely in 15-minute increments. Whether analyzing past market cycles or recent volatility, please feel free to test extensively across various seasons and times of day. This allows for a deep understanding of how the logic performs under different liquidity conditions.
Operational Guide
This release focuses on manual analysis and visual timing:
・Entry Signals: This version does not have an alert function. Please gauge the entry timing based on the labels that appear on the screen.
・Exit Management: In this version, labels indicating the timing of the exit are not displayed. Traders are encouraged to monitor the chart to determine the optimal exit points based on the trend's progression.
System Specifications
To ensure logical consistency and performance accuracy, the following settings are applied:
・Supported Assets: This version functions only on EURUSD and USDJPY currency pairs. The parameters are tuned specifically for the liquidity profiles of these major pairs.
・Session Timing: In this version, the time zone is fixed to London. This ensures that market session overlaps are calculated consistently, regardless of your local time.
・Parameter Tuning: In this version, users cannot finely customize details such as the band expansion acceleration threshold or the sensitivity of the wick block. The developer's recommended settings are used.
For more detailed information and further resources, please check the links in my profile.
Short Position (Manual Setup)TVC:GOLD
This script is for short position setup manually....
Just enter the following data ......
1. higher entry price
2. lower entry price
3. stop loss price
4. targets ( up to 5 targets)
5- extra targets ( up to 3 extra targets)
then you will have the short position draw in the chart with the trade summary including risk and reward percentage.
by @Crypto_alphabit
Directional Auto TrendlinesFeatures of This Script
Resistance trendlines: red, only downward connecting highs
Support trendlines: green, only upward connecting lows
Non-repainting, confirmed pivots
Optional pivot labels
Adjustable maxTLines and lineWidth
Candle PatternsOverview
This indicator is a modernized, high-signal-quality candlestick pattern detector designed for the price-action trader. Unlike standard pattern recognizers that trigger on "weak" or indecisive candles (Dojis), this script uses a Momentum-Verified Logic to ensure that multi-candle patterns represent true market conviction.
The script scans for the most reliable reversal and continuation patterns while providing a built-in Moving Average filter to align signals with the prevailing trend.
Key Features
1. Momentum-Verified Logic (Anti-Doji)
Standard patterns like 3 Soldiers or 3 Crows often trigger with small-bodied candles that lack momentum. This indicator uses a custom isStrong() function requiring the candle body to be at least 50% of the total candle range. This effectively filters out weak signals and "leggy" wicks, showing you only when the bulls or bears are truly in control.
2. "Real Body" Engulfing
To reduce noise, the Engulfing logic is calculated using the Real Bodies (Open to Close). The current candle's body must completely engulf the previous candle's body, ignoring the "noise" of long wicks (thicks).
3. Integrated MA Filter
Trade only in the direction of the trend. When the MA Filter is enabled, bullish signals are only shown if price is above the Moving Average, and bearish signals if price is below it.
Supported Patterns
Engulfing (Body-to-Body): Powerful reversal signals ignoring wick noise.
3 Soldiers & 3 Crows: Momentum-verified (no Dojis allowed).
Morning Star & Evening Star: Three-candle bottom/top reversal patterns.
Meeting Line: Strike patterns where closing prices align.
Piercing Line & Dark Cloud: Deep-penetration reversal signals.
Harami: Traditional "inside bar" reversal setups.
How to Use
Select Your Patterns: Use the Settings menu to toggle specific patterns on or off.
Trend Alignment: Enable the "MA Filter" and set your period (e.g., 50 or 200) to filter for high-probability trend-following setups.
Y-Axis Alignment: For the best experience, ensure your Price Scale is set to "Merge All Scales into One (Right)" to keep labels perfectly pinned to price action.
Technical Details
Version: Pine Script v5
Overlay: Yes (Plots directly on candles)
Alerts: Compatible with alertcondition for "Once Per Bar Close" notifications.
