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Long Short Lien TucRSI Long Short Continuum
The RSI Long Short Continuum unveils a meticulously engineered paradigm for decoding market momentum, transcending the rudimentary confines of the traditional Relative Strength Index (RSI). By orchestrating a symphony of Exponential Moving Average (EMA) and Weighted Moving Average (WMA) dynamics, this indicator distills the chaotic oscillations of price action into a refined lattice of actionable signals. Its esoteric methodology probes the undercurrents of trend expansion and contraction, harnessing real-time price flux to illuminate pivotal junctures of market intent.
Core Constructs:
• RSI (Period 14): A sentinel of momentum, its chromatic transmutations—crimson at ≥80, verdant at ≤20—herald zones of exuberance or capitulation.
• EMA (Period 9) of RSI: A mercurial filter that tempers the RSI’s caprice, tracing the ephemeral shifts in market fervor with surgical precision.
• WMA (Period 45) of RSI: An anchor of gravitas, weaving a tapestry of long-term momentum to sieve transient noise from enduring trends.
• Trend Expansion Logic: A proprietary calculus that discerns anomalous divergences between RSI and WMA, auguring moments of kinetic eruption or subsidence.
• Real-Time Signal Nexus: By interrogating live candle data, the indicator conjures buy and sell sigils—triangular glyphs of intent—poised at the precipice of momentum reversal.
Operational Codex:
The Continuum operates as a dualistic oracle, simultaneously charting the ebb of momentum and the crescendo of trend potential. Its signals emerge from a confluence of arcane conditions:
• Buy Signals: Manifest when RSI ascends past the EMA in the wake of a downtrend’s distension, with the EMA’s curvature aligning toward convergence with the WMA. The slope of the EMA, ascending gently, corroborates the nascent resurgence, while a disciplined proximity between EMA and WMA ensures fidelity.
• Sell Signals: Crystallize as RSI descends beneath the EMA following an uptrend’s apogee, with the EMA’s declivity and narrowing EMA-WMA interstice heralding exhaustion. The antecedent trend’s vigor, now waning, validates the signal’s portent.
• Trend Divination: The EMA’s ascent above the WMA augurs a burgeoning momentum, while its descent portends enervation. The indicator’s vigilance over trend expansion—gauged through aberrant RSI-WMA disparities—unveils moments of latent reversal.
Distinction from Orthodoxy:
Unlike the prosaic RSI, tethered to static thresholds of overbought and oversold, the Continuum probes deeper strata of market dynamics. Its fusion of EMA slope analysis, WMA-referenced trend anchoring, and real-time divergence detection transcends conventional momentum paradigms. By eschewing the banal reliance on fixed levels, it navigates the liminal spaces of price flux, offering prescience where others falter.
Application Mandala:
• Optimal Context: The Continuum thrives in the crucible of short-term frameworks—5 to 15-minute charts—where its real-time alchemy captures fleeting dislocations in forex, equities, or volatile indices.
• Strategic Deployment: Seek buy signals in the aftermath of oversold retrenchments, corroborated by EMA-WMA convergence; deploy sell signals at the zenith of overbought exuberance, tempered by trend exhaustion cues.
• Complementary Synthesis: Augment with support/resistance confluences or volume surges to refine entry precision.
Caveat Emporium:
This construct serves as a lens for technical divination, not an infallible prophecy. Markets, in their probabilistic dance, elude certainty. Practitioners are adjured to wield robust risk protocols and seek confluence across manifold analytical vectors before committing capital.
Delta Signals NO REPINTA (FINAL)📢 New Indicator: Delta Signals NO REPAINT 🔥
Introducing my new indicator based on Order Flow Delta, designed to provide buy and sell signals with absolutely NO repainting — perfect for scalping, day trading, or swing trading.
This tool combines two powerful components:
✅ Order Flow Delta — Measures the real strength between buyers and sellers
✅ Smart Trend Filter — Only shows signals in the direction of the dominant trend
Together, they deliver cleaner, more accurate and more reliable signals, with clear entry markers on the chart and a delta histogram revealing real market pressure.
🚀 What’s Included?
🔹 Buy/Sell signals with NO repaint
🔹 Intelligent delta calculation
🔹 Trend filter using moving average
🔹 Clear labels on entry points
🔹 Visual delta histogram
🔹 Works great on Crypto, Forex, Indices & Stocks
🔹 Very lightweight and fast on TradingView
🎯 Why is it powerful?
Because it doesn't rely on lagging indicators — it reads the actual imbalance between buyers and sellers, often detecting strong moves before traditional indicators do.
This type of analysis is used by professional order flow traders, but now you have it on your TradingView chart in a simple, visual format.
🔥 Perfect for:
Scalpers who need precision
Day traders working breakouts and pullbacks
Swing traders seeking strong confirmations
Traders who want clean, NO-repaint signals
If you want a version with automatic TP/SL, alerts, or full backtesting, I can publish that as well.
Just let me know. 🚀📈
DMI_HMA Oscillator Smoothed by HMA v2The script provided, titled "DMI_HMA Oscillator Smoothed by HMA v2," is a technical analysis tool written in Pine Script (Version 6) for the TradingView platform. It represents a hybrid approach to momentum trading, combining the directional insight of the Directional Movement Index (DMI) with the noise-reduction capabilities of the Hull Moving Average (HMA). The purpose of this indicator is to provide a cleaner, lag-reduced view of market trend strength and direction, filtering out the erratic noise often associated with raw DMI readings.
Using this indicator is highly appropriate for traders who struggle with the "noise" of standard momentum indicators but cannot afford the delay of traditional smoothing.
Noise Reduction: Standard DMI crossovers can trigger frequently in sideways markets. The HMA smoothing suppresses these minor fluctuations, helping traders stay in a trade longer without being shaken out by temporary volatility.
Lag Management: Most smoothing techniques (like SMA or EMA) introduce significant lag, making signals arrive too late. The HMA is specifically designed to minimize this, making it an excellent choice for a leading indicator like DMI.
Clarity: By converting the two-line DMI system into a single oscillator relative to a zero line, the visual complexity is reduced. A trader simply needs to observe if the teal line is above or below the gray dashed zero line.
Conclusion: The DMI_HMA Oscillator is a sophisticated yet elegant tool. It effectively addresses the primary weakness of the standard DMI (noise) without sacrificing its primary strength (responsiveness). It is best used as a trend-confirmation tool in conjunction with price action analysis, serving as a reliable filter for determining the prevailing market bias.
Sniper BB + VWAP System (with SMT Divergence Arrows)STEP 1: Load two correlated futures charts.
Example: CL + RB/SI+GC/ NQ+ES
STEP 2: Add Bollinger Bands (20, 2.0) on both.
Optional add (20, 3.0).
STEP 3: Watch for a BB tag on one chart but not the other.
STEP 4: Wait for a reclaim candle back inside the band.
STEP 5: Enter with stop below/above the wick + 3.0 BB.
STEP 6: Scale out midline, then opposite band.
STEP 7: Hold partials when both pairs confirm trend.
*You can take the vwap bands off the chart if it is too cluttered.
2s10s Bull/Bear Steepener/Flattener (Intraday bars)A simple indicator that tracks the curve of the US2y and US10y
Std Dev Reversal LevelsStd Dev Reversal Levels. Uses STD devs
Std Dev Reversal Levels. Uses STD devs
Std Dev Reversal Levels. Uses STD devs
Std Dev Reversal Levels. Uses STD devs
Std Dev Reversal Levels. Uses STD devs
Std Dev Reversal Levels. Uses STD devs
Nuh's Stochastic + Structure 1.0Nuh's Stochastic + Structure 1.0 is an advanced momentum–structure fusion indicator designed to identify high-probability reversal and continuation zones using a multi-layer confirmation engine. The script combines enhanced Stochastic analysis, market structure detection (HH/HL/LH/LL), divergence tracking, volume spikes, higher-timeframe trend alignment, and extreme-duration filters to deliver highly reliable buy/sell signals. Each signal is dynamically scored for strength, and a compact one-line trend panel provides real-time market state at a glance. Colors and visual elements follow a clear and intuitive hierarchy optimized for fast decision-making. Ideal for crypto, indices, and forex traders who want precision entries with minimal noise.
Probabilistic Panel - COMPLETE VERSION📘 Probabilistic Panel — User Manual
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INTRODUCTION
The Probabilistic Panel is an advanced TradingView indicator that merges multiple technical-analysis components to provide a probabilistic evaluation of market direction. It is composed of several sections that assess trend, volume, price zones, support and resistance, multiple timeframes, and candle distribution.
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PANEL STRUCTURE
1. HEADER
• PROBABILISTIC PANEL: Indicator name.
• FULL VERSION: Indicates that all functionalities are enabled.
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2. GENERAL INFORMATION
• ASSET: Displays the asset symbol being analyzed.
• LIMITS: Shows score thresholds for classifying setups (A+, B, C).
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3. DIRECTION PROBABILITIES
• PROB: Displays probability of upward movement (upPct) and downward movement (downPct) in percentage.
o Importance: Indicates the direction with the highest probability based on weighted factors.
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4. CONTINUATION BIAS
• BIAS: Shows the probability of continuation of the current trend (intrProbCont).
o Importance: Evaluates whether the market is likely to continue in the same direction.
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5. MULTI-TIMEFRAME ANALYSIS (MTF)
• MTF: Shows trend direction across multiple timeframes (1D, 1H, 15M, 5M, 1M) using arrows (↑ uptrend, ↓ downtrend, → sideways).
o Importance: Helps identify convergence or divergence between timeframes.
• ALIGNED MTF: Displays the percentage of alignment between timeframes.
o Importance: Higher alignment indicates stronger trends.
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6. VOLUME
• VOLUME: Indicates whether volume is “INCREASING”, “DECREASING”, or “STABLE.”
o Importance: Increasing volume confirms trend strength.
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7. TECHNICAL INDICATORS
• RSI/ROC: Displays RSI (Relative Strength Index) and ROC (Rate of Change).
o Importance:
RSI > 65 → Overbought
RSI < 35 → Oversold
ROC → Momentum strength indicator
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8. PRICE ZONE
• ZONE: Classifies current price as “PREMIUM” (above average), “DISCOUNT” (below average), or “EQUILIBRIUM.”
o Importance: Helps identify buying/selling opportunities based on mean-reversion logic.
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9. CANDLE ANALYSIS
• AMPLITUDE: Shows current candle size in percentage and ticks.
o Importance: Candles above minimum amplitude threshold are considered trade-valid.
• FORMATION: Classifies candle as:
o HIGH INDECISION
o TOP REJECTION
o BOTTOM REJECTION
o CONVICTION
o MIXED
o Importance: Reflects market sentiment and psychology.
• WICKS: Displays upper and lower wick size in percentage.
o Importance: Longer wicks suggest rejection or indecision.
• RATIO: Ratio between total wick size and candle body.
o Importance: High ratio = indecision; low ratio = conviction.
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10. TRENDS
• AMPLITUDE TREND: Indicates if amplitude is “INCREASING,” “DECREASING,” or “STABLE.”
o Importance: Increasing amplitude may signal rising volatility.
• CONVICTION TREND: Indicates recent candle conviction:
o STRONG UP
o STRONG DOWN
o INDECISIVE
o MIXED
o Importance: Measures the strength of recent candles.
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11. PROBABILITY DIFFERENCE (DIF PROB)
• Shows the percentage difference between upward and downward probabilities, classified as:
o EXCELLENT: Very favorable
o GOOD: Significant
o MEDIUM: Moderate (avoid entering)
o MARKET LOSING STRENGTH: Small difference (avoid entering)
o UNSTABLE MARKET: Very small difference (do not trade)
o Importance: Higher difference = more directional clarity.
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12. CONFIRMATIONS
• Shows how many consecutive confirmations of the current signal were achieved relative to the configured requirement.
o Importance: More confirmations increase reliability.
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13. SCORE & CLASSIFICATION
• SCORE: Final score from 0 to 100, calculated based on multiple factors.
o Higher scores = better setups.
• CLASSIFICATION: Setup categorized as:
o A+ SETUP
o B SETUP
o C SETUP
o DO NOT TRADE
o Importance: Defines whether conditions are favorable.
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14. ACTION
• ACTION: Suggests “BUY,” “SELL,” or “WAIT.”
o Importance: Final actionable signal.
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DECISION LOGIC
The indicator uses a weighted combination of multiple factors:
1. Trend (wTrend): Based on the price relative to EMA50.
2. Volume (wVol): Based on recent volume vs. its average.
3. Zone (wZona): Based on price position within recent price range.
4. Support/Resistance (wSR): Based on strength of S/R levels.
5. MTF (wMTF): Timeframe alignment.
6. Distribution (wDist): Distribution of bullish, bearish, and neutral candles.
The final score integrates:
• Probability of upward movement
• Continuation bias
• MTF conflict
• Moving-average alignment
• Volume
• Extreme RSI conditions
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FALSE-SIGNAL FILTERS
• Close-Only Mode: Updates calculations only on candle close.
• Minimum Candle Size: Ignores very small candles.
• Consecutive Confirmations: Requires repeated signal confirmation.
• Minimum Probability Difference: Enforces a minimum separation between bullish and bearish probabilities.
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CONCLUSION
The Probabilistic Panel is a comprehensive tool that integrates multiple technical-analysis dimensions to deliver more reliable trading signals. Parameters must be adjusted according to the asset and timeframe.
Remember: no indicator is infallible.
Always combine it with risk management and additional confirmations.
4H True S&R • 2 Nearest Above + 2 Nearest Below simple indicator paints the 2 SR levels above and below price, saves me time
Hull Trend Filtrado pro improved half hull with power indicator, try it and you will see how well it works
Macro Return ForecastWhen the macro environment was similar, what annualized return did the market usually deliver next?
Before using the indicator, make sure your chart is set to any US-market symbol (SPX, QQQ, DIA, etc.).
This requirement is simple: the indicator pulls macro series from US data (yields, TIPS, credit spreads, breadth of US indices).
Because these series are independent from the chart’s price series, the chart symbol itself does not affect the internal calculations.
Any US symbol works, and the output of the model will be identical as long as you are on a US asset with daily, weekly or monthly timeframe.
The plotted price does not matter: the macro engine is fully exogenous to the chart symbol.
1. What the indicator does relative to selected assets
In the settings you choose which market you want to analyze:
- S&P500
- Nasdaq or NQ100
- Dow Jones
- Russell 2000
- US-wide (VTI)
- S&P500 sectors (XLF, XLY, XLP, etc.)
For each one, the indicator loads:
- Its internal breadth series (percentage of constituents above MA200)
- Its price history to compute forward log-returns at multiple horizons
- Its regime position relative to its own MA200 (for bull/bear filtering)
This means the tool is not tied to the chart symbol you display.
If your chart is SPX but the indicator setting is “S&P500 Technology”, the expected return projection is computed for the Technology sector using its own data, not the chart’s data.
You can therefore:
- Visualize macro-driven expected returns for any major US index or sector.
- Compare how different parts of the market historically reacted to similar macro states.
- Switch assets instantly to see which segment historically behaved better in comparable macro conditions.
The indicator becomes an analyzer of macro sensitivity, not a chart-dependent indicator.
2. Method overview
The model answers a statistical question:
“When macro conditions looked like they do today, what forward annualized return did this asset usually deliver?”
To do this it combines four macro pillars:
- Market breadth of the selected asset
- Yield curve slope (US 10Y minus 2Y)
- US credit spread (high yield minus gov)
- US real rate (TIPS 10Y)
It normalizes each metric into a 0–100 score, groups similar historical states into bins, and examines what the asset did next across six horizons (from ~9 months to ~5 years).
This produces a historical map connecting macro states to realized forward returns.
It is not a forecast model.
It is a conditional-distribution estimator: it tells you what has historically happened from similar setups.
3. Why this produces useful insights on assets
For any chosen asset (SPX, Nasdaq, sectors…), the indicator computes:
- Its forward return distribution in similar macro states.
- How often these states occurred (n).
- Whether the macro environment that preceded positive returns in the past resembles today’s.
- Whether the asset tends to be more sensitive or more resilient than the broad index under given macro configurations.
- Whether a given sector historically benefited from specific yield-curve, credit or real-rate environments.
This lets you answer questions such as:
- Does this sector usually outperform in an inverted yield curve environment?
- Does the Nasdaq historically recover strongly after breadth collapses?
- How did the S&P500 behave historically when real rates were this high?
- Is today’s credit-spread environment typically associated with positive or negative forward returns for this index?
These insights are not predictions but statistical context backed by past market behavior.
4. Why the technique is robust (and why it matters)
The engine uses strict, non-optimistic data processing:
- Winsorization of returns to neutralize extreme outliers without deleting information.
- Shrinkage estimators to avoid overfitting when bins contain few occurrences.
- Adaptive or static bounds for scaling macro indicators, ensuring comparability across cycles.
- Inverse-variance weighting of horizons with penalties for horizon redundancy.
- HAC-style adjustments to reduce autocorrelation bias in return estimation.
Each method aims to prevent artificial inflation of expected-return values and to keep the estimator stable even in unusual macro states.
This produces a result that is not “optimistic”, not curve-fit, not dependent on chart tricks, and not sensitive to isolated historical anomalies.
5. What you get as a user
A single clean line:
Expected Annual Return (%)
This line reflects how the chosen asset historically performed after macro environments similar to today’s.
The color gradient and confidence indicator (n) show the density of comparable episodes in history.
This makes the output extremely simple to read:
- High, stable expectation: historically supportive macro environment.
- Low or negative expectation: historically weaker environments.
- Low confidence: the macro state is rare and historical comparisons are limited.
The tool therefore adds context, not signals.
It helps you understand the environment the asset is currently in, based on how markets behaved in similar conditions across US market history.
