Hedge Pressure Index (HPI)Hedge Pressure Index (HPI)
Overview
The Hedge Pressure Index (HPI) is a flow-aware indicator that fuses daily options Open Interest (OI) with intraday put/call volume to estimate the directional hedging pressure of market makers and dealers. It helps traders visualize whether options flow is creating mechanical buy/sell pressure in IWM, and when that pressure may be shifting.
What HPI Shows
Daily OI Baseline (white line): Net OI carried forward intraday (Put OI − λ × Call OI). Updated once daily before the open.
Intraday Flow (teal line): Net put minus λ × call volume in real time. Smoothed to show underlying flow.
Spread Histogram (gray): Divergence between intraday flow and daily OI.
HPI Proxy Histogram (blue): Intraday hedge-pressure intensity. Strong extremes indicate heavy one-sided dealer hedging.
Trading Signals
Crossover:
When intraday Volume line crosses above OI, it suggests bullish hedge pressure.
When Volume line crosses below OI, it suggests bearish hedge pressure.
Z-Score Extremes:
HPI ≥ +1.5 → strong mechanical bid.
HPI ≤ −1.5 → strong mechanical offer.
Alerts: Built in for both crossovers and extreme readings.
How to Use HPI
1. Confirmation Tool (recommended for most traders):
Trade your usual price/technical setups.
Use HPI as a confirmation: only take trades that align with the hedge pressure direction.
2. Flow Bias (advanced):
Use HPI direction intraday as a standalone bias.
Fade signals when the histogram mean-reverts or crosses zero.
Best practice: Focus on the open and first 2 hours where hedging flows are most active. Combine with ATR/time-based stops.
Inputs
Demo Mode: If no OI/volume feed is set, the script uses chart volume for layout.
λ (Call Weight): Adjusts how much call volume offsets put volume (default = 1.0).
Smoothing Length: Smooths intraday flow line.
Z-Score Lookback: Sets lookback window for HPI extremes.
Custom Symbols:
Daily Net OI (pre-open OI difference).
Intraday Put Volume.
Intraday Call Volume.
Setup Instructions
Add the indicator to an IWM chart.
In Inputs, either keep Demo Mode ON (for layout) or enter your vendor’s Daily Net OI / Put Volume / Call Volume symbols.
Set alerts for crossovers and strong HPI readings to catch flow shifts in real time.
Optionally tune λ and smoothing to match your feed’s scale.
Notes
This is a proxy for dealer hedge pressure. For highest accuracy, replace the proxy histogram with gamma-weighted flow by strike/DTE when your data feed supports it.
Demo mode is for visualization only; live use requires a valid OI and volume feed.
Disclaimer
This script is for educational and research purposes only. It is not financial advice. Options and derivatives carry significant risk. Always test in a demo environment before using live capital.
Osciladores
OBV Cloud v1.0 [PriceBlance]🌐 English
OBV Cloud v1.0 – Free & Open-Source
OBV Cloud v1.0 integrates On-Balance Volume (OBV) with a Cloud model and enhanced trend filters.
It helps traders quickly identify:
Money Flow Trend: OBV Cloud acts as a dynamic support/resistance zone.
Trend Filters: EMA9 (short-term) and WMA45 (medium-term) directly applied on OBV.
OBV–Price Divergence: Detects both regular and hidden bullish/bearish divergences.
Trend Strength: Measured with ADX calculated on OBV.
OBV Cloud is suitable for both swing and day trading, allowing traders to spot breakouts, reversals, or sustained trends through volume-based analysis.
Custom MACD (Normalized by ATR)This is a modified version of the classic MACD indicator.
Instead of using just the difference between EMA(12) and EMA(26), this version normalizes the MACD line by ATR(26) and scales it by 100:
* 100
This adjustment makes the MACD relative to market volatility, allowing for easier comparison across assets and timeframes.
The idea of normalizing MACD with ATR comes from Alex Spioglou, who suggested this improvement to enhance signal consistency in volatile markets.
Plots include the ATR-normalized MACD line, the signal line, and the histogram, with rising/falling color cues and built-in alert conditions.
CMC Macro Regime PanelOverview (what it is):
A macro‑regime gate built entirely from TradingView-native symbols (CRYPTOCAP, FRED, DXY/VIX, HYG/LQD). It aggregates central‑bank liquidity (Fed balance sheet − RRP − Treasury General Account), USD strength, credit conditions, stablecoin flows/dominance, tech beta and BTC–NDX co‑move into one normalized score (CLRC). The panel outputs Risk‑ON/OFF regimes, an Early 3/5 pre‑signal, and an automatic BTC vs ETH vs ALTs preference. It is intentionally scoped to Daily & Weekly reads (no intraday timing). Publish with a clean chart and a clear description as per TradingView rules.
TradingView
Why we also use other TradingView screens (and why that is compliant)
This script pulls data via request.security() from official TV symbols only; users often want to open the raw series on separate charts to sanity‑check:
CRYPTOCAP indices: TOTAL, TOTAL2, TOTAL3 (market cap aggregates) and dominance tickers like BTC.D, USDT.D. Helpful for regime & rotation (ALTs vs BTC). TradingView provides definitions for crypto market cap and dominance symbols.
TradingView
+3
TradingView
+3
TradingView
+3
FRED releases: WALCL (Fed assets, weekly), RRPONTSYD (ON RRP, daily), WTREGEN (TGA, weekly), M2SL (M2, monthly). These are the official macro sources exposed on TV.
FRED
+3
FRED
+3
FRED
+3
Risk proxies: TVC:DXY (USD index), TVC:VIX (implied vol), AMEX:HYG/AMEX:LQD (credit), NASDAQ:NDX (tech beta), BINANCE:ETHBTC. VIX/NDX relationship is well-documented; VIX measures 30‑day expected S&P500 vol.
TradingView
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TradingView
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Compliance note: Using multiple screens is optional for users, but it explains/justifies how components work together (a requirement for public scripts). Keep publication chart clean; use extra screens only to illustrate in the description.
TradingView
How it works (high level)
Liquidity block (Weekly/Monthly)
Net Liquidity = WALCL − RRPONTSYD − WTREGEN (YoY z‑score). WALCL is weekly (as of Wednesday) via H.4.1; RRP is daily; TGA is a Fed liability series. M2 YoY is monthly.
FRED
+3
FRED
+3
FRED
+3
Risk conditions (Daily)
DXY 3‑month momentum (inverted), VIX level (inverted), Credit (HYG/LQD ratio or HY OAS). VIX is a 30‑day constant‑maturity implied vol index per Cboe methodology.
Cboe
+1
Crypto‑internal (Daily)
Stablecoins (USDT+USDC+DAI 30‑day log change), USDT dominance (20‑day, inverted), TOTAL3 (63‑day momentum). Dominance symbols on TV follow a documented formula.
TradingView
Beta & co‑move (Daily)
NDX 63‑day momentum, BTC↔NDX 90‑day correlation.
All components become z‑scores (optionally clipped), weighted, missing inputs drop and weights renormalize. We never use lookahead; we confirm on bar close to avoid repainting per Pine docs (barstate.isconfirmed, multi‑TF).
TradingView
+2
TradingView
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What you see on the chart
White line (CLRC) = macro regime score.
Background: Green = Risk‑ON, Red = Risk‑OFF, Teal = Early 3/5 (pre‑signal).
Table: shows each component’s z‑score and the Preference: BTC / ETH / ALTs / Mixed.
Signals & interpretation
Designed for Daily (1D) and Weekly (1W) only.
Regime gates (default Fast preset):
Enter ON: CLRC ≥ +0.8; Hold ON while ≥ +0.5.
Enter OFF: CLRC ≤ −1.0; Hold OFF while ≤ −0.5.
0 / ±1 reading: CLRC is a standardized composite.
~0 = neutral baseline (no macro edge).
≥ +1 = strong macro tailwind (≈ +1σ).
≤ −1 = strong headwind (≈ −1σ).
Early 3/5 (teal): a fast pre‑signal when at least 3 of 5 daily checks align: USDT.D↓, DXY↓, VIX↓, HYG/LQD↑, ETHBTC↑ or TOTAL3↑. It often precedes a full ON flip—use for pre‑positioning rather than full sizing.
BTC/ETH/ALTs selector (only when ON):
ALTs when BTC.D↓ and (ETHBTC↑ or TOTAL3↑) ⇒ rotate down the risk curve.
BTC when BTC.D↑ and ETHBTC↓ ⇒ keep it concentrated.
ETH when ETHBTC↑ while BTC.D flat/up ⇒ add ETH beta.
(Dominance mechanics are documented by TV.)
TradingView
Dissonance (incompatibility) rules — when to stand down
Use these overrides to avoid false comfort:
CLRC > +1 but USDT.D↑ and/or VIX spikes day‑over‑day → downgrade to Neutral; wait for USDT.D to stabilize and VIX to cool (VIX is a fear gauge of 30‑day expectation).
Cboe Global Markets
CLRC > +1 but DXY↑ sharply (USD squeeze) → size below normal; require DXY momentum to roll over.
CLRC < −1 but Early 3/5 = true two days in a row → start reducing underweights; look for ON flip within a few bars.
NetLiq improving (W) but credit (HYG/LQD) deteriorating (D) → treat as mixed regime; prefer BTC over ALTs.
How to use (step‑by‑step)
A. Read on Daily (1D) — main regime
Open CRYPTOCAP:TOTAL3, 1D (panel applied).
Wait for bar close (use alerts on confirmed bar). Pine docs recommend barstate.isconfirmed to avoid repainting on realtime bars.
TradingView
If ON, check Preference (BTC / ETH / ALTs).
Then drop to 4H on your trading pair for micro entries (this indicator itself is not for intraday timing).
B. Confirm weekly macro (1W) — once per week)
Review WALCL/RRP/TGA after the H.4.1 release on Thursdays ~4:30 pm ET. WALCL is “Weekly, as of Wednesday”; M2 is Monthly—so do not expect daily responsiveness from these.
Federal Reserve
+2
FRED
+2
Recommended check times (practical schedule)
Daily regime read: right after your chart’s daily close (confirmed bar). For consistent timing across crypto, many users set chart timezone to UTC and read ~00:05 UTC; you can change chart timezone in TV’s settings.
TradingView
In‑day monitoring: optional spot checks 16:00 & 20:00 UTC (DXY/VIX move during US hours), but act only after the daily bar confirms.
Weekly macro pass: Thu 21:30–22:30 UTC (after H.4.1 4:30 pm ET) or Fri after daily close, to let weekly FRED series propagate.
Federal Reserve
Limitations & data latency (be explicit)
Higher‑TF data & confirmation: FRED weekly/monthly series will not reflect intraday risk in crypto; we aggregate them for regime, not for entry timing.
Repainting 101: Realtime bars move until close. This script does not use lookahead and follows Pine guidance on multi‑TF series; still, always act on confirmed bars.
TradingView
+1
Public‑library compliance: Title EN‑only; description starts in EN; clean chart; justify component mash‑up; no lookahead; no unrealistic claims.
TradingView
Alerts you can use
“Macro Risk‑ON (entry)” — fires on ON flip (confirmed bar).
“Macro Risk‑OFF (entry)” — fires on OFF flip.
“Early 3/5” — fires when the teal pre‑signal appears (not a regime flip).
“Preference change” — BTC/ETH/ALTs toggles while ON.
Publish note: Alerts are fine; just avoid implying guaranteed accuracy/performance.
TradingView
Background research (why these inputs matter)
Liquidity → Crypto: Fed H.4.1 timing and series definitions (WALCL, RRP, TGA) formalize the “net liquidity” concept used here.
FRED
+3
Federal Reserve
+3
FRED
+3
Stablecoins ↔ Non‑stable crypto: empirical work shows bi‑directional causality between stablecoin market cap and non‑stable crypto cap; stablecoin growth co‑moves with broader crypto activity.
Global liquidity link: world liquidity positively relates to total crypto market cap; lagged effects are observed at monthly horizons.
VIX/Uncertainty effect: fear shocks impair BTC’s “safe haven” behavior; VIX is a meaningful risk‑off read.
RSI Cross Strategy Precise EntryThis is based on RSI movement. it generates buy and sell signals precisely
Repulse OB/OS Z-Score (v3)🔹 What this script does
This indicator is an enhanced version of the Repulse, originally developed by Eric Lefort. The Repulse measures bullish and bearish pressure in the market by analyzing price momentum and crowd behavior.
In this version, I introduce a Z-Score transformation to the Repulse values. The Z-Score converts raw outputs into a standardized statistical scale, allowing traders to identify when pressure is abnormally high or low relative to historical conditions.
🔹 How it works
Repulse Core: The original Repulse calculation compares buying vs. selling pressure, highlighting shifts in momentum.
Z-Scoring Method: Repulse values are normalized around their mean and scaled by standard deviation. This transforms the indicator into a dimensionless metric, where:
Positive Z-Scores indicate stronger-than-usual bullish pressure.
Negative Z-Scores indicate stronger-than-usual bearish pressure.
Bands: Thresholds such as ±1 or ±2 Z-Scores can help detect when pressure is stretched, potentially signaling exhaustion or reversal points.
🔹 Why it’s useful
Statistical Clarity: Traders can instantly see whether current pressure is normal or extreme.
Cross-Asset Comparisons: Because Z-Scores are standardized, signals can be compared across different markets or timeframes.
Mean Reversion Tool: Extreme Z-Score values often precede turning points, making this a versatile addition to trend and momentum analysis.
🔹 How to use it
Apply the indicator to any chart and timeframe.
Watch for Z-Scores above +2 (possible overheated bullish pressure) or below –2 (possible oversold/exhaustion).
Use these levels as contextual signals, not standalone triggers. Best results come from combining with price structure, support/resistance, or volume analysis.
⚠️ Note: This script does not predict price. It highlights statistical extremes in pressure to support decision-making. Always use in combination with other tools and risk management practices.
RSI Crossover with Candlestick Patternsusing the RSI indicator levels 40 and 60, where the signal cuts above level 40 with a candlestick hammer or bull engulfing and cuts below level 60 with a candlestick inverter hammer or bearish engulfing.
Stochastic Divergence Indicatorshows bullish and bearish divergence with green and red candles. white border for double dip
FSVZO | Lyro RSFSVZO | Lyro RS
This script is a technical analysis tool called the FSVZO, or Fourier Smoothed Volume Zone Oscillator. It is designed to analyze market momentum and trend strength by combining price and volume data with advanced smoothing techniques. The goal is to help identify potential trends, overbought/oversold conditions, and divergence signals in a clear visual format.
Understanding the Indicator's Components
The indicator plots a main oscillator line and several supporting elements on a separate pane below the chart.
The Main Oscillator: This is the primary, colored wave. Its movement and color are key to interpretation.
Trend Direction: The color shifts between bullish and bearish tones based on the momentum of the oscillator. This provides a quick visual reference for the prevailing short-term trend.
Key Levels: Horizontal lines mark significant levels such as +60, +85, -60, and -85. Movements above +60 or below -60 can indicate strong momentum, while approaches to the extreme levels (+85/-85) may suggest overbought or oversold conditions.
Divergence Detection: The indicator can plot labels ("ℝ" for Regular, "ℍ" for Hidden) on the oscillator to signal potential divergences. These occur when the indicator's direction differs from the price action on the main chart and can sometimes foreshadow reversals or continuations.
Moving Average (MA): A central moving average line, based on the oscillator, helps to smooth out the data further and can act as a dynamic support or resistance level within the indicator pane.
White Noise Filter (Optional): This feature displays a histogram that represents market noise. It can be toggled on or off. Analyzing the histogram's behavior may provide additional context on the stability or volatility of the current trend.
Dynamic Background: The background of the indicator pane can change color to highlight periods where the momentum is particularly strong, based on the position of the moving average.
Suggested Use and Interpretation
Traders might use this indicator in several ways:
Trend Identification: Observe the color and position of the main oscillator. A predominantly bullish-colored oscillator above the zero line may suggest an upward trend, while a bearish-colored one below zero may suggest a downward trend.
Signal Confirmation: Look for the oscillator to cross key levels (like +/-40 or +/-60) in the direction of a suspected trend as a confirmation signal.
Divergence Analysis: When the price makes a new high or low that is not confirmed by a new high or low on the FSVZO oscillator (a divergence), it can be a warning of potential weakness in the trend. The "ℝ" and "ℍ" labels help to identify these scenarios.
Extreme Readings: Readings near the +85 or -85 levels can indicate that a price move may be overextended, which could precede a pause or reversal.
Customization Options
The indicator includes settings groups that allow you to adjust its behavior and appearance:
FSVZO Settings: Adjust parameters like Length and Sensitivity to make the oscillator more or less responsive to market movements.
Signals & Display: Modify visual aspects such as Smooth Length and Glowing Amount, or toggle features like the dynamic background on and off.
Colors: Choose from several pre-set color palettes to suit your visual preferences.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Momentum Volume Analyzer [CHE] Momentum Volume Analyzer — Adaptive momentum with volume-gated signals and expressive visual cues
Summary
This indicator combines a normalized momentum oscillator with a volume Z-score gate and adaptive gradient visuals. The oscillator centers around a midline and scales between a lower and an upper bound. Intensity is derived from the distance to the midline and is normalized inside a rolling window, which helps keep contrast consistent across regimes. Volume pressure is compressed to a discrete level between one and ten and is used to qualify momentum flips and extremes. Layered “burst” markers and optional background gradients provide immediate visual emphasis without adding new data sources. Pine version is v6. The script runs in a separate pane.
Motivation: Why this design?
Common oscillators flip rapidly during noisy conditions or flatten during calm periods, which obscures actionable shifts. A rolling normalization keeps the visual intensity stable across different regimes, and a volume gate reduces reactions when participation is weak. The goal is clearer momentum shifts that are supported by measurable activity rather than cosmetic smoothing alone.
What’s different vs. standard approaches?
Baseline reference: Classical RSI-style oscillators or simple filtered momentum without volume gating.
Architecture differences:
Local window normalization with gamma control for contrast.
Volume converted to a Z-score and compressed into a discrete level between one and ten with a configurable cap.
Directional color gradients that intensify with distance from the midline.
Layered glow markers with optional trail and an internal label budget to avoid UI overload.
Practical effect: Signals are visually stronger only when both momentum and volume align; background and line colors convey regime strength at a glance.
How it works (technical)
Momentum core: A high-pass path with automatic gain control produces a bounded oscillator centered around a midline. A simple moving average smooths the result over a short window.
Normalization and contrast: The absolute distance from the midline is scaled inside a rolling window and limited between zero and one. Two gamma parameters separately shape contrast for the line and for labels.
Coloring: When the oscillator is above the midline, a green gradient is used; below the midline, a red gradient is used. Intensity increases with normalized distance. Optional area fill to the midline and a background gradient reinforce strength.
Volume levels: Volume is standardized over a lookback window, clipped by a user cap, and mapped to a level between one and ten. Only positive excursions are considered; non-positive values map to zero.
Event markers: When the oscillator reaches extreme zones and the volume level is positive, the script spawns layered circular labels at fixed y-positions. A small trail can extend behind the event. An internal queue discards the oldest labels when a user-defined maximum is exceeded.
Alerts: Alerts fire on overbought and oversold spikes, midline shifts with minimum intensity and volume, and continuation patterns inside strong zones.
Parameter Guide
TFRSI length (default six): Core momentum lookback. Shorter values react faster but are less stable.
Signal SMA (default two): Light smoothing of the oscillator. Larger values reduce jitter.
Gradient window (default one hundred): Normalization window for intensity. Longer values produce steadier contrast but slower adaptation.
Line/marker transparency (default zero): Visual prominence of drawings. Higher values reduce dominance.
Background on and BG transparency (defaults true and eighty-five): Enables and tunes the pane background gradient.
Area fill to fifty and Fill transparency (defaults true and eighty): Fills between the oscillator and the midline.
Gamma bars/labels and Gamma plot (defaults zero point seven and zero point eight): Contrast shapers for markers and line. Higher values compress low intensities.
Bottom marker and Show last N (defaults true and three hundred thirty-three): Optional compact heat markers with a display cap.
Up/Down colors: Dark and neon pairs for positive and negative regimes.
Lookback (default two hundred) and Z cap (default five): Volume standardization window and clipping level before scaling to one through ten.
Enable bursts, Layers, Trail, Trail transparency, Max live labels, Size scale: Control the layered glow effect, trail length, opacity, label budget, and size multiplier. Reducing the size scale lowers visual dominance.
Spike min level, Shift min level, Min intensity, Rise/Fall length: Gates for alerts; adjust to balance sensitivity and false positives.
Reading & Interpretation
Line color and intensity: Green shades above the midline indicate bullish pressure; red shades below indicate bearish pressure. Stronger color corresponds to stronger normalized distance.
Background and fill: Reinforce regime strength; consider reducing transparency when the pane feels too busy.
Bursts and trails: Emphasize volume-backed extremes. Larger bursts reflect stronger volume levels or scaling choices.
Volume level: Internal level between one and ten. Levels near the upper bound signal exceptional activity.
Practical Workflows & Combinations
Trend following: Use midline cross upward with minimum shift level and intensity as a trigger. Confirm with structure such as higher highs and higher lows. For shorts, reverse the conditions.
Exits and risk: Fade exposure when intensity weakens toward the midline or when volume level drops below the shift threshold. Consider disabling bursts when monitoring many symbols.
Multi-asset and multi-timeframe: Defaults are designed to travel across liquid futures, large-cap equities, and major crypto pairs. For higher timeframes, increase the lookback window and consider reducing the Z cap.
Behavior, Constraints & Performance
Repaint and confirmation: Signals are evaluated on the live bar. They can appear and withdraw before bar close. For confirmed signals, require closed-bar alerts or manual confirmation.
Higher-timeframe sources: Not used. No `security` calls.
Resources: `max_bars_back` is two thousand. The script uses arrays and label objects, including loops for trails. The label budget mitigates clutter.
Known limits: Very illiquid symbols with unstable volume can reduce the usefulness of the Z-score. Sharp regime changes can still produce brief flips.
Sensible Defaults & Quick Tuning
Starting point: TFRSI length six, Signal two, Gradient window one hundred, Z cap five, Spike level six, Shift level four, Min intensity zero point four, Rise length three, Size scale zero point five.
Too many flips: Increase Signal, increase Gradient window, or raise Shift level.
Too sluggish: Decrease TFRSI length or reduce Gradient window.
Bursts too dominant: Lower Size scale or reduce Layers; increase Trail transparency or set Trail length to zero.
What this indicator is—and isn’t
This is a visualization and signal layer that couples momentum with a volume gate and adaptive visuals. It is not a complete trading system, optimizer, or predictor. Use it together with market structure, risk controls, and position management.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino
VWAP Momentum Oscillator How It Works
Core Calculation Method
The oscillator combines four key market measurements into a single, normalized reading:
1. Price-VWAP Deviation: `(Close - VWAP) / VWAP × 100`
2. VWAP-MA Momentum: `(VWAP - MovingAverage) / MovingAverage × 100`
3. Anchored VWAP Strength: Average of high/low anchor deviations from rolling VWAP
4. Range Position: `(Close - PeriodLow) / (PeriodHigh - PeriodLow) × 100 - 50`
Dynamic Signal Line
The signal line uses an EMA that automatically adjusts its length based on your chart timeframe:
- Futures: Always covers 23 hours of trading (1,380 minutes)
- Stocks: Always covers 6.5 hours of trading (390 minutes)
- Examples: 276 periods on 5-min futures chart, 1,380 periods on 1-min futures chart
Trading Signals
🟢 Buy Signals
- Condition: Main oscillator crosses above signal line while below zero
- Logic: Momentum turning bullish from oversold conditions
- Visual: Green "BUY" label below price action
🔴 Sell Signals
- Condition: Main oscillator crosses below signal line while above zero
- Logic: Momentum turning bearish from overbought conditions
- Visual: Red "SELL" label above price action
⚠️ Extreme Warnings
- Extreme Overbought: Red triangle when oscillator crosses above +4.0
- Extreme Oversold: Green triangle when oscillator crosses below -4.0
- Purpose: Risk management alerts, not entry/exit signals
Oscillator Zones
Interpretation Guide
- Above +2.0: Strong bullish momentum zone (green background)
- 0 to +2.0: Mild bullish territory
- 0 to -2.0: Mild bearish territory
- Below -2.0: Strong bearish momentum zone (red background)
- Above +4.0: Extreme overbought (caution advised)
- Below -4.0: Extreme oversold (potential reversal zone)
Customization Options
Moving Average Settings
- EMA/SMA Toggle: Choose between exponential or simple moving average
- Color Customization: Adjust MA line color and width
Visual Controls
- Bullish/Bearish Colors: Customize momentum zone colors
- Signal Line: Toggle visibility and adjust color
- Line Widths: Control thickness of all plot lines
Anchor Modes
- NY Session Only: Anchors reset at NY market open (9:30 AM ET)
- 24H NY Day: Anchors reset at NY calendar day change (midnight ET)
Best Practices
Timeframe Selection
- Scalping: 1-5 minute charts for quick momentum changes
- Day Trading: 5-15 minute charts for clearer trend signals
- Swing Trading: 1-4 hour charts for major momentum shifts
Signal Confirmation
- Wait for crossovers: Don't trade on oscillator position alone
- Respect extreme levels: Exercise caution above +4 or below -4
- Use with price action: Combine with support/resistance levels
Risk Management
- Extreme zones: Reduce position size when oscillator is extended
- Failed signals: Exit quickly if momentum doesn't follow through
- Market context: Consider overall trend direction and market volatility
Technical Specifications
Calculation Components
- Base Length: 1,380 periods (futures) / 390 periods (stocks)
- Signal Line: Dynamic EMA covering one full trading day
- Smoothing: 3-period SMA on raw oscillator (adjustable)
- Update Frequency: Real-time on every price tick
Performance Notes
- Resource Efficient: Optimized calculations minimize CPU usage
- Memory Friendly: Uses incremental VWAP calculations
- Fast Loading: Minimal historical data requirements
Version History & Development
This oscillator evolved from advanced VWAP overlay strategies, transforming complex multi-line analysis into a single, actionable momentum gauge. The indicator maintains the sophistication of institutional VWAP analysis while providing the clarity needed for retail trading decisions.
Core Philosophy
Traditional VWAP indicators show where price is relative to volume-weighted averages, but they don't quantify momentum or provide clear entry/exit signals. This oscillator solves that problem by normalizing all VWAP relationships into a single, bounded indicator that works consistently across all timeframes and asset classes.
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Open Source License: This indicator is provided free for the TradingView community. Feel free to modify and enhance according to your trading needs.
EMA Regime (9/20/50/100/200) — Stacked with 200 FilterEMA Regime (9/20/50/100/200) — Stacked Long/Short Box
Plots the 9, 20, 50, 100, and 200 EMAs on the chart.
Checks if price is above or below each EMA and whether the EMAs are stacked in order.
LONG signal: price above all selected EMAs and EMAs stacked 9 > 20 > 50 > 100 >(> 200 if strict mode on).
SHORT signal: price below all selected EMAs and EMAs stacked 9 < 20 < 50 < 100 (< 200 if strict mode on).
Shows a two-row table (LONGS / SHORTS) so you can quickly see which EMAs are aligned.
Optionally colors candles green/red when a full long/short regime is active.
Can show labels when a new LONG or SHORT condition appears.
Has alerts you can use for automated notifications when the regime flips.
“Use 200 EMA in the stack” lets you choose ultra-strict mode (9>20>50>100>200) or lighter mode (9>20>50>100 but price & 9 above 200).
Oversold & Overbought Signal with RSISimple RSI overbought/oversold signals. Signals overbought when RSI > 80 and oversold when RSI < 30.
RSI: alternative derivationMost traders accept the Relative Strength Index (RSI) as a standard tool for measuring momentum. But what if RSI is actually a position indicator?
This script introduces an alternative derivation of RSI, offering a fresh perspective on its true nature. Instead of relying on the traditional calculation of average gains and losses, this approach directly considers the price's position relative to its equilibrium (moving average), adjusted for volatility.
While the final value remains identical to the standard RSI, this alternative derivation offers a completely new understanding of the indicator.
Key components:
Price (Close)
Utilizes the closing price, consistent with the original RSI formula.
normalization factor
Transforms raw calculations into a fixed range between -1 and +1.
normalization_factor = 1 / (Length - 1)
EMA of Price
Applies Wilder’s Exponential Moving Average (EMA) to the price, serving as the anchor point for measuring price position, similar to the traditional RSI formula.
myEMA = ta.rma(close,Length)
EMA of close-to-close absolute changes (unit of volatility)
Adjusts for market differences by applying a Wilder’s EMA to absolute price changes (volatility), ensuring consistency across various assets.
CC_vol = ta.rma(math.abs(close - close ),Length)
Calculation Breakdown
DISTANCE:
Calculate the difference between the closing price and its Wilder's EMA. A positive value indicates the price is above the EMA; a negative value indicates it is below.
distance = close - myEMA
STANDARDIZED DISTANCE
Divide the distance by the unit of volatility to standardize the measurement across different markets.
S_distance = distance / CC_vol
NORMALIZED DISTANCE
Normalize the standardized distance using the normalization factor (n-1) to adjust for the lookback period.
N_distance = S_distance * normalization_factor
RSI
Finally, scale the normalized distance to fit within the standard RSI range of 0 to 100.
myRSI = 50 * (1 + N_distance)
The final equation:
RSI = 50 ×
What This Means for RSI
Same RSI Values, Different Interpretation
The standard RSI formula may obscure its true measurement, whereas this approach offers clarity.
RSI primarily indicates the price's position relative to its equilibrium, rather than directly measuring momentum.
RSI can still be used to analyze momentum, but in a more intuitive and well-informed way.
KDJ Divergence Indicator(Regular & Hidden)📌 中文介绍
KDJ 背离指标（副图版，支持 Regular & Hidden）
这是一个基于 KDJ 指标 的背离检测工具，可以在副图中直观显示 Regular 背离（顶背离/底背离） 和 Hidden 背离（隐藏顶/隐藏底）。
功能特点：
可选计算基线：支持以 J 值 或 K 值 作为背离判定依据。
多种背离类型：
Regular Bullish（底背离）：价格创新低，但指标不创新低 → 可能反弹。
Regular Bearish（顶背离）：价格创新高，但指标不创新高 → 可能回落。
Hidden Bullish（隐藏底背离）：价格不创新低，但指标创新低 → 可能延续上涨。
Hidden Bearish（隐藏顶背离）：价格不创新高，但指标创新高 → 可能延续下跌。
连线显示：在副图用线条连接前后两个背离点，帮助更直观地发现趋势变化。
自定义选项：
可选择是否显示 Regular / Hidden 背离。
可调整回溯范围（左侧/右侧/最大最小）。
可自定义颜色和信号样式。
报警提醒：背离出现时会触发报警。
适合：
波段交易者寻找趋势反转。
短线交易者捕捉关键拐点。
技术分析结合 KDJ 的交易策略。
📌 English Introduction
KDJ Divergence Indicator (Sub-Chart, Regular & Hidden Supported)
This is a KDJ-based divergence detection tool, plotted in a sub-window, that highlights Regular Divergences (Bullish/Bearish) and Hidden Divergences (Hidden Bullish/Hidden Bearish).
Key Features:
Selectable Oscillator Line: Choose between J or K line as the basis for divergence detection.
Divergence Types:
Regular Bullish: Price makes a lower low, but oscillator makes a higher low → potential rebound.
Regular Bearish: Price makes a higher high, but oscillator makes a lower high → potential drop.
Hidden Bullish: Price holds higher low, but oscillator makes a lower low → potential trend continuation upward.
Hidden Bearish: Price holds lower high, but oscillator makes a higher high → potential trend continuation downward.
Line Connections: Draws connecting lines between divergence points for better visual clarity.
Customizable Settings:
Enable/disable Regular & Hidden divergences.
Adjustable left/right lookback and range filters.
Custom colors and shapes for signals.
Alert Ready: Alerts trigger when divergences are detected.
Best for:
Swing traders spotting trend reversals.
Short-term traders catching turning points.
Technical analysts using KDJ-based strategies.
Oscillator Matrix [Alpha Extract]A comprehensive multi-oscillator system that combines volume-weighted money flow analysis with enhanced momentum detection, providing traders with a unified framework for identifying high-probability market opportunities across all timeframes. By integrating two powerful oscillators with advanced confluence analysis, this indicator delivers precise entry and exit signals while filtering out market noise through sophisticated threshold-based regime detection.
🔶 Volume-Weighted Money Flow Analysis
Utilizes an advanced money flow calculation that tracks volume-weighted price movements to identify institutional activity and smart money flow. This approach provides superior signal quality by emphasizing high-volume price movements while filtering out low-volume market noise.
// Volume-weighted flows
up_volume = price_up ? volume : 0
down_volume = price_down ? volume : 0
// Money Flow calculation
up_vol_sum = ta.sma(up_volume, mf_length)
down_vol_sum = ta.sma(down_volume, mf_length)
total_volume = up_vol_sum + down_vol_sum
money_flow_ratio = total_volume > 0 ? (up_vol_sum - down_vol_sum) / total_volume : 0
🔶 Enhanced Hyper Wave Oscillator
Features a sophisticated MACD-based momentum oscillator with advanced normalization techniques that adapt to different price ranges and market volatility. The system uses percentage-based calculations to ensure consistent performance across various instruments and timeframes.
// Enhanced MACD-based oscillator
fast_ma = ta.ema(src, hw_fast)
slow_ma = ta.ema(src, hw_slow)
macd_line = fast_ma - slow_ma
signal_line = ta.ema(macd_line, hw_signal)
// Proper normalization using percentage of price
price_base = ta.sma(close, 50)
macd_normalized = macd_line / price_base
hyper_wave = macd_range > 0 ? macd_normalized / macd_range : 0
🔶 Multi-Factor Confluence System
Implements an intelligent confluence scoring mechanism that combines signals from both oscillators to identify high-probability trading opportunities. The system assigns strength scores based on multiple confirmation factors, significantly reducing false signals.
🔶 Fixed Threshold Levels
Uses predefined threshold levels optimized for standard oscillator ranges to distinguish between normal market fluctuations and significant momentum shifts. The dual-threshold system provides clear visual cues for overbought/oversold conditions while maintaining consistent signal criteria across different market conditions.
🔶 Overflow Detection Technology
Advanced overflow indicators identify extreme market conditions that often precede major reversals or continuation patterns. These signals highlight moments when market momentum reaches critical levels, providing early warning for potential turning points.
🔶 Dual Oscillator Integration
The indicator simultaneously tracks volume-weighted money flow and momentum-based price action through two independent oscillators. This dual approach ensures comprehensive market analysis by capturing both institutional activity and technical momentum patterns.
// Multi-factor confluence scoring
confluence_bull = (mf_bullish ? 1 : 0) + (hw_bullish ? 1 : 0) +
(mf_overflow_bull ? 1 : 0) + (hw_overflow_bull ? 1 : 0)
confluence_bear = (mf_bearish ? 1 : 0) + (hw_bearish ? 1 : 0) +
(mf_overflow_bear ? 1 : 0) + (hw_overflow_bear ? 1 : 0)
confluence_strength = confluence_bull > confluence_bear ? confluence_bull / 4 : -confluence_bear / 4
🔶 Intelligent Signal Generation
The system generates two tiers of reversal signals: strong signals that require multiple confirmations across both oscillators, and weak signals that identify early momentum shifts. This hierarchical approach allows traders to adjust position sizing based on signal strength.
🔶 Visual Confluence Zones
Background coloring dynamically adjusts based on confluence strength, creating visual zones that immediately communicate market sentiment. The intensity of background shading corresponds to the strength of the confluent signals, making pattern recognition effortless.
🔶 Threshold Visualization
Color-coded threshold zones provide instant visual feedback about oscillator positions relative to key levels. The fill areas between thresholds create clear overbought and oversold regions with graduated color intensity.
🔶 Candle Color Integration
Optional candle coloring applies confluence-based color logic directly to price bars, creating a unified visual framework that helps traders correlate indicator signals with actual price movements for enhanced decision-making.
🔶 Overflow Alert System
Specialized circular markers highlight extreme overflow conditions on both oscillators, drawing attention to potential climax moves that often precede significant reversals or accelerated trend continuation.
🔶 Customizable Display Options
Comprehensive display controls allow traders to toggle individual components on or off, enabling focused analysis on specific aspects of the indicator. This modularity ensures the indicator adapts to different trading styles and analytical preferences.
1 Week
1 Day
15 Min
This indicator provides a complete analytical framework by combining volume analysis with momentum detection in a single, coherent system. By offering multiple confirmation layers and clear visual hierarchies, it empowers traders to identify high-probability opportunities while maintaining precise risk management across all market conditions and timeframes. The sophisticated confluence system ensures that signals are both timely and reliable, making it an essential tool for serious technical analysts.
Stochastic Divergence StrategyBackground bars:
Bearish
gradient from slightly bearish divergence to strong bearish divergence for red and a double bounce for pink
Bullish
gradient from slightly bearish divergence to strong bearish divergence for green and a double bounce for yellow
removable buy and sell signals in options
AI Trading Alerts v6 — SL/TP + Confidence + Panel (Fixed)Overview
This Pine Script is designed to identify high-probability trading opportunities in Forex, commodities, and crypto markets. It combines EMA trend filters, RSI, and Stochastic RSI, with automatic stop-loss (SL) & take-profit (TP) suggestions, and provides a confidence panel to quickly assess the trade setup strength.
It also includes TradingView alert conditions so you can set up notifications for Long/Short setups and EMA crosses.
⚙️ Features
EMA Trend Filter
Uses EMA 50, 100, 200 for trend confirmation.
Bull trend = EMA50 > EMA100 > EMA200
Bear trend = EMA50 < EMA100 < EMA200
RSI Filter
Bullish trades require RSI > 50
Bearish trades require RSI < 50
Stochastic RSI Filter
Prevents entries during overbought/oversold extremes.
Bullish entry only if %K and %D < 80
Bearish entry only if %K and %D > 20
EMA Proximity Check
Price must be near EMA50 (within ATR × adjustable multiplier).
Signals
Continuation Signals:
Long if all bullish conditions align.
Short if all bearish conditions align.
Cross Events:
Long Cross when price crosses above EMA50 in bull trend.
Short Cross when price crosses below EMA50 in bear trend.
Automatic SL/TP Suggestions
SL size adjusts depending on asset:
Gold/Silver (XAU/XAG): 5 pts
Bitcoin/Ethereum: 100 pts
FX pairs (default): 20 pts
TP = SL × Risk:Reward ratio (default 1:2).
Confidence Score (0–4)
Based on conditions met (trend, RSI, Stoch, EMA proximity).
Labels:
Strongest (4/4)
Strong (3/4)
Medium (2/4)
Low (1/4)
Visual Panel on Chart
Shows ✅/❌ for each condition (trend, RSI, Stoch, EMA proximity, signal now).
Confidence row with color-coded strength.
Alerts
Long Setup
Short Setup
Long Cross
Short Cross
🖥️ How to Use
1. Add the Script
Open TradingView → Pine Editor.
Paste the full script.
Click Add to chart.
Save as "AI Trading Alerts v6 — SL/TP + Confidence + Panel".
2. Configure Inputs
EMA Lengths: Default 50/100/200 (works well for swing trading).
RSI Length: 14 (standard).
Stochastic Length/K/D: Default 14/3/3.
Risk:Reward Ratio: Default 2.0 (can change to 1.5, 3.0, etc.).
EMA Proximity Threshold: Default 0.20 × ATR (adjust to be stricter/looser).
3. Read the Panel
Top-right of chart, you’ll see ✅ or ❌ for:
Trend → Are EMAs aligned?
RSI → Above 50 (bull) or below 50 (bear)?
Stoch OK → Not extreme?
Near EMA50 → Close enough to EMA50?
Above/Below OK → Price position vs. EMA50 matches trend?
Signal Now → Entry triggered?
Confidence row:
🟢 Green = Strongest
🟩 Light green = Strong
🟧 Orange = Medium
🟨 Yellow = Low
⬜ Gray = None
4. Alerts Setup
Go to TradingView Alerts (⏰ icon).
Choose the script under “Condition”.
Select alert type:
Long Setup
Short Setup
Long Cross
Short Cross
Set notification method (popup, sound, email, mobile).
Click Create.
Now TradingView will notify you automatically when signals appear.
5. Example Workflow
Wait for Confidence = Strong/Strongest.
Check if market session supports volatility (e.g., XAU in London/NY).
Review SL/TP suggestions:
Long → Entry: current price, SL: close - risk_pts, TP: close + risk_pts × RR.
Short → Entry: current price, SL: close + risk_pts, TP: close - risk_pts × RR.
Adjust based on your own price action analysis.
📊 Best Practices
Use on H1 + D1 combo → align higher timeframe bias with intraday entries.
Risk only 1–2% of account per trade (position sizing required).
Filter with market sessions (Asia, Europe, US).
Strongest signals work best with trending pairs (e.g., XAUUSD, USDJPY, BTCUSD).
