RS Ratio vs Benchmark (Colored)📈 RS Ratio vs Benchmark (with Color Change)
A simple but powerful tool to track relative strength against a benchmark like QQQ, SPY, or any other ETF.
🔍 What it Shows
RS Ratio (orange line): Measures how strong a stock is relative to a benchmark.
Moving Average (teal line): Smooths out RS to show trend direction.
Color-coded RS Line:
🟢 Green = RS is above its moving average → strength is increasing.
🔴 Red = RS is below its moving average → strength is fading.
📊 How to Read It
Above 100 = Stock is outperforming the benchmark.
Below 100 = Underperforming.
Rising & Green = Strongest signal — accelerating outperformance.
Above 100 but Red = Consolidating or losing momentum — potential rest period.
Crosses below 100 = Warning sign — underperformance.
✅ Best Uses
Spot leading stocks with strong momentum vs QQQ/SPY.
Identify rotation — when strength shifts between sectors.
Time entries and exits based on RS trends and crossovers.
Oscillators
EZSignals SuperTrend EMAA technical indicator, even with high accuracy, must be rigorously backtested to assess its stability across various market conditions. Its effectiveness depends not only on the algorithm itself but also on how it is integrated into the overall trading system. Proper usage, combined with risk management and a solid understanding of market context, is essential to convert theoretical accuracy into practical trading advantage.
EZSignals SuperTrend EMAA technical indicator, even with high accuracy, must be rigorously backtested to assess its stability across various market conditions. Its effectiveness depends not only on the algorithm itself but also on how it is integrated into the overall trading system. Proper usage, combined with risk management and a solid understanding of market context, is essential to convert theoretical accuracy into practical trading advantage.
(HHW) Helix Hybrid Wave Strategy Hakim Tung v1.0(HHW) Helix Hybrid Wave Strategy Hakim Tung v1.0
Strategy Concept & Core Logic
The (HHW) Helix Hybrid Wave Strategy is a long-only, trend-continuation system designed for BTC/USD on the daily timeframe. It combines multi-timeframe momentum analysis with adaptive trend filtering to capture sustained bullish movements while minimizing false signals. The addition of HMA indicator gives you as additional option to manually exit or re-enter trades should you wish to take some profit off your trade.
Indicator Synergy & Trade Logic
1. Gaussian Channel (Trend Filter)
2. Stochastic RSI (Momentum Trigger)
3. Williams %R (Trend Strength)
4. Moving Averages (Confluence)
5. LMA (Logarithmic Momentum Accelerator)
Exit Conditions:
* Auto-Exit: Price closes below SMA(126).
* Manual HMA Exit (Optional): Bearish HMA crossunder below price to secure profits, with re-entry on HMA reversal.
Why This Works for BTC
* Trend-Centric: Aligns with BTC’s multi-week bullish cycles.
* Hybrid Edge: Algorithmic entries + discretionary exits adapt to BTC’s volatility.
* Multi-Layer Confirmation: Reduces false signals in choppy markets.
Backtest Note: Optimized for BTC daily charts (2018–2024), with parameters tuned for high-momentum phases.
Trend State ADX-DI v6This indicator combines the classic ADX (Average Directional Index) and DI+ / DI– (Directional Indicators) with a modern, easy-to-read visual approach. It highlights trend strength and direction directly on your chart background:
✅ Bullish Trend – DI+ crosses above DI– with ADX above threshold
✅ Bearish Trend – DI– crosses above DI+ with ADX above threshold
✅ Choppiness – ADX below threshold, indicating sideways or weak trend
✅ Transition – Optional highlight for periods near the threshold, signaling a potential trend change
Plots for ADX, DI+, and DI– help you track trend momentum, while customizable background colors make it easy to spot trading conditions at a glance. Alerts included for bullish and bearish trend signals.
Perfect for day traders and swing traders looking to identify strong directional moves and avoid choppy markets.
Created by ThomasO_777, updated for Pine Script v6 by ChatGPT.
free osciator haji_goldHaji Gold's free oscillator, which was updated after a long time, has several types of oscillators that we use for confirmation and signals.
Introduce this oscillator to your friends
Estrategia VWAP + RSI + SuperTrend (15m) con AlertasEstrategia para trading de Futuros en temporalidad de 15 minutos
Mean Reversion & Momentum Hybrid | D_QUANT 📌 Mean Reversion & Momentum Hybrid | D_QUANT
📖 Description:
This indicator combines mean reversion logic, volatility filtering, and percentile-based momentum to deliver clear, context-aware buy/sell signals designed for trend-following and contrarian setups.
At its core, it merges:
A Bollinger Band % Positioning Model (BB%)
A 75th/25th Percentile Momentum System
A Volatility-Adjusted Trend Filter using RMA + ATR
All tied together with a dynamic gradient-style oscillator that visualizes signal strength and persistence over time — making it easy to track high-conviction setups.
Signals only trigger when all three core components align, filtering out noise and emphasizing high-probability turning points or trend continuations.
⚙️ Methodology Overview:
Bollinger Bands % (BB%):
Price is measured as a percentage between upper and lower Bollinger Bands (based on OHLC4). Entries are only considered when price exceeds custom BB% thresholds — emphasizing market extremes.
Volatility-Based Trend Filter (RMA + ATR):
A smoothed RMA baseline is paired with ATR to define trend bias. This ensures signals only occur when price deviates meaningfully beyond recent volatility.
Percentile Momentum Model (75th/25th Rank):
Price is compared against its rolling 75th and 25th percentile. If price breaks these statistical boundaries (adjusted by ATR), it triggers a directional momentum condition.
Signal Consensus Engine:
All three layers must agree — BB% condition, trend filter, and percentile momentum — before a buy or sell signal is plotted.
Gradient Oscillator Visualization:
Signals appear as a fading oscillator line with a gradient-filled area beneath it. The color intensity represents how “fresh” or “strong” the signal is, fading over time if not reconfirmed, offering both clarity and signal aging at a glance.
🔧 User Inputs:
🧠 Core Settings:
Source: Select the price input (default: close)
Bollinger Bands Length: Period for BB basis and deviation
Bollinger Bands Multiplier: Width of the bands
Minimum BB Width (% of Price): Prevents signals during low-volatility chop
📊 BB% Thresholds:
BB% Long Threshold (L): Minimum %B to consider a long
BB% Short Threshold (S): Maximum %B to consider a short
🔍 Trend Filter Parameters:
RMA Length: Period for the smoothed trend baseline
ATR Length: Lookback for ATR in trend deviation filter
⚡️ Momentum Parameters:
Momentum Length: Period for percentile momentum calculation
Mult_75 / Mult_25: ATR-adjusted thresholds for breakout above/below percentile levels
🎨 Visualization:
Bar Coloring: Highlights candles during active signals
Background Coloring: Optional background shading for signals
Show Oscillator Plot: Toggle the gradient-style oscillator
🧪 Use Case:
This indicator works well across all assets for trend identification. It is particularly effective when used on higher timeframes (e.g. 12H, 1D,2D) to capture mean reversion bounces or confirm breakouts backed by percentile momentum and volatility expansion.
⚠️ Notes:
This is not financial advice. Use in combination with proper risk management and confluence from other tools.
Nadaraya-RSI-HighlightDescription of the Nadaraya indicator strategy-RSI-Highlight
The Nadaraya-RSI-Highlight indicator combines smoothed price estimation using the Nadaraya-Watson core and the classic RSI oscillator to find market reversal points.
The upper and lower boundaries are based on the deviation of the price from the smoothed line, which makes it possible to identify extreme zones.
Short signals appear when the RSI drops below 70 after being overbought, and the high of the current or previous candle is above the upper limit of the NWE.
Long signals are formed when the RSI rises above 30 after being oversold, and the low of the current or previous candle is below the lower limit of the NWE.
For clarity, candlesticks are colored white at RSI > 70 (overbought), yellow at RSI < 30 (oversold).
The backlight can be turned on or off in the settings.
The indicator helps to find potential reversal points and filter out false signals by combining price dynamics and trend strength across the RSI.
Описание стратегии индикатора Nadaraya-RSI-Highlight
Индикатор Nadaraya-RSI-Highlight сочетает сглаженную оценку цен с помощью ядра Надарая-Ватсона и классический осциллятор RSI для поиска точек разворота рынка.
Верхняя и нижняя границы строятся на основе отклонения цены от сглаженной линии, что позволяет выявлять экстремальные зоны.
Сигналы на шорт (▼) появляются, когда RSI опускается ниже 70 после перекупленности, а high текущей или предыдущей свечи выше верхней границы NWE.
Сигналы на лонг (▲) формируются, когда RSI поднимается выше 30 после перепроданности, а low текущей или предыдущей свечи ниже нижней границы NWE.
Для наглядности свечи окрашиваются: белым цветом при RSI > 70 (перекупленность), жёлтым при RSI < 30 (перепроданность).
Подсветку можно включать или отключать в настройках.
Индикатор помогает находить потенциальные разворотные точки и фильтровать ложные сигналы, сочетая динамику цены и силу тренда по RSI.
FFT Signal AnalyzerFFT Signal Analyzer
The FFT Signal Analyzer uses a simplified Fast Fourier Transform (FFT) approach to extract dominant cyclical components from price data. By detrending and applying adaptive smoothing, the indicator highlights frequency-driven signals that traditional indicators often miss.
This tool is ideal for traders who want to visualize cyclical market behavior, identify turning points, and confirm entries/exits with frequency-based momentum signals.
How it works:
Removes price trend via detrending (moving average subtraction)
Applies a bandpass filter (EMA) to isolate dominant frequency components
Normalizes the signal using a z-score for consistent visibility
Amplifies the signal for easy interpretation
Highlights slope changes with background coloring (green = rising, red = falling)
Use Cases:
Use zero-line crosses to detect cycle shifts or momentum pivots
Combine with trend filters (e.g., GRJMOM) for high-probability setups
Ideal for detecting underlying rhythm in sideways or oscillating markets
Best for:
Swing traders, scalpers, and cycle analysts looking for frequency-aware confirmation signals
Works on all timeframes and asset classes
Rsi bar, divergences, tether line, ema 20,50 -Ema 20,50
-Tether Line dominance
-Buy/sell pressure
-Rsi last candle
-byu sell signal
-rsi divergence
-macd divergence
-Coloured candles 25,30 rsi and 70 rsi
Monthly BX Trender- Scale Out Strategy V2This strategy is built around the monthly BXTrender oscillating histogram. It enters a position when the BXTrender shifts from dark red to light red, signaling increasing buying pressure.
From there, it scales out profits by 10% for every 50% gain from the original entry. The position is fully exited when the monthly BXTrender turns red again.
Both the take profit thresholds and scale-out percentages are customizable.
Medico Action Zone self adjust TF version 2to create buy sell signal with adjusted EMA and timeframe
TDPO-RSI (Time-Decaying Percentile RSI)TDPO-RSI (Time-Decaying Percentile RSI)
TDPO-RSI is a modern, statistically-enhanced momentum indicator that improves on traditional RSI by using percentile-based analysis with exponential time decay. Instead of averaging gains and losses equally, this indicator ranks them by size and weights recent data more heavily—resulting in a more responsive and noise-resistant signal.
How it works:
Calculates percentile rank of gains and losses over a lookback window
Applies a decay factor (lambda) to give more weight to recent price action
Outputs a percentile-based RSI value between 0 and 100
Optional smoothing via EMA for clearer crossover signals
Key Uses:
Identify overbought/oversold zones (default: 70/30)
Use raw vs. smoothed RSI crossovers for entries
Detect momentum shifts earlier than traditional RSI
Suitable for scalping, trend continuation, and reversal setups
Inputs:
Lookback Length: Number of bars used for percentile calculation
Decay Factor (lambda): How quickly older data fades in influence (0.80–0.99)
Smoothing EMA: Smooths the final output to reduce noise
Tip: Combine with price structure and volume for best results. Higher timeframes can be used for trend context, while lower timeframes help with precise entries.
This tool is ideal for traders who want adaptive momentum analysis rooted in statistical behavior.
EPMA % Impulsive| QuantEdgeBEPMA % Impulsive | QuantEdgeB
🔍 What Is EPMA % Impulsive?
A volatility‐standardized impulse oscillator built on a forward-projected, low-lag moving average baseline. It transforms raw price into a 0–100% “impulse meter” by:
1. Trend Projection: Smoothing price with a double-EMA and fitting a short-term regression line that’s extended forward to anticipate direction.
2. Volatility Normalization: Wrapping that projected level in dynamic standard-deviation bands, then scaling price within those bands to a percentage scale.
3. Impulse Thresholds: Offering fixed, percentile-based, or rolling-volatility triggers to distinguish genuine bursts from noise.
💡 Why It’s Special
• Forward-Looking Base: By projecting the regression line forward, it reduces lag and “chases” trends intelligently.
• Noise-Aware Scaling: Volatility bands adapt in real time—quiet markets tighten bands, explosive markets widen them—ensuring the % reading always reflects true impulse, not random jitter.
• Flexible Thresholds: Static levels for simplicity, percentile ranks for regime-aware signals, or full standard-deviation bands for a purely data-driven approach.
• Dual Signal Styles: “Impulsive” mode for raw crossovers; “Smooth” mode for filtered breakouts that favor trend persistence.
⚙️ Key Components (High-Level)
1. DEMA Regression Engine
o Smooths price with double-EMA, fits a rolling regression, then projects it forward.
2. Volatility Bands
o Computes ±N × SD around the projected line to capture current turbulence.
3. % Scaling & Smoothing
o Maps price into a 0–100% range within those bands, then applies a final EMA to stabilize.
4. Impulse Triggers
o Crosses of the % line vs. your chosen thresholds generate long/short flags.
5. Visualization & Alerts
o Color-coded candles, threshold lines, zone fills, arrow markers, plus alert conditions on crossover/crossunder.
💼 Use Cases & Advantages
• Swing-Entry Precision
Pinpoint true momentum bursts for tighter entries and stops—avoiding false breakouts in choppy environments.
• Trend Confirmation
Validate whether a breakout is a sustained impulse (e.g., > 75th percentile) or just a spike that quickly fades.
• Regime Adaptability
Automatically tune sensitivity in low-volatility consolidations versus high-volatility expansions—no manual adjustments needed.
• Multi-Asset Versatility
Works seamlessly on stocks, futures, FX, crypto, and commodities—because it normalizes entirely to volatility, not price scale.
• Clarity & Confidence
A single, easy-to-interpret % reading plus visual cues make momentum obvious at a glance—empowering quick, data-driven decisions.
• Couple of charts examples.
BTC 1D
ETH 12H
SOL 8H
DOGE 4H
📌 Disclaimer:
Backtest results are based on past performance and do not guarantee future success. Always incorporate real-time validation and risk management in live trading.
🎨 Default Settings (Example)
• EPMA Lookback: 21 bars, forward-project 50 bars
• Volatility Band: ±2 × SD over 20 bars
• Threshold Type: Percentile 75/25 over 70 bars
• Signal Mode: Impulsive, Bar Color = On
📌 In Summary
EPMA % Impulsive | QuantEdgeB is your forward-projecting, volatility-aware momentum meter—combining regression forecasting with adaptive scaling to surface only the most meaningful impulse moves. Whether you’re timing swing entries or validating breakouts, it turns raw price into a clear, normalized impulse signal that adapts to any market regime.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
quad Stoch'sIt's like a Stochastic Oscillator, but there are four of them. Wait for all four to show overbought or oversold and then enter once the fastest moving oscillator breaks out
Multi-Indicator Trading System v2Multi-Indicator Trading System (MITS)
Purpose:
Using WVMA (Volume Weighted Moving Average) + EMA 50 + Bollinger Bands to capture trend reversal points and generate buy/sell signals.
What It Does:
WVMA line shows volume-based price momentum
EMA 50 determines main trend direction
Bollinger Bands display volatility range
BUY signal when price crosses above WVMA and is above EMA
SELL signal when price crosses below WVMA and is below EMA
In Short: Combines Volume + Trend + Volatility to find strong entry points.
Trader's Club IndicatorTrader’s Club Indicator
The Trader’s Club Indicator is an advanced confluence-based tool combining Bollinger Bands , Relative Strength Index (RSI) , VWAP with multi-band overlays , and an intelligent chained divergence detection engine. It identifies potential buy/sell setups by aligning price extremes with momentum shifts and volume-weighted trends. The “E” signal highlights enhanced entry opportunities based on RSI divergence and price candle behaviour — offering a timing edge for informed traders.
TRADING METHOD
This indicator works best on 1-Minute candles. Tested it successfully on XAUUSD.
Buy signal: 'E' in a Blue box.
Sell signal: 'E' in a Red box.
Chained Divergence: White dot on the top or bottom of a candle. This shows possibility of a reversal from that zone.
Use the Buy/Sell signals in conjunction with the VWAP levels. If the Buy/Sell Signals form at VWAP and a key support/resistance level, that is an additional confluence.
Disclaimer
This indicator is for informational and educational purposes only. Trading involves risk, and you are solely responsible for your decisions. Do not rely solely on the buy/sell ‘E’ signals — it’s crucial to use additional confirmation, context, and personal judgment before placing trades. Always practice proper risk management and consider combining this indicator with broader technical or fundamental confluences.
ATR-Scaled Deviation OscillatorATR-DevOsc is a custom momentum-and-volatility adaptive oscillator that scales N-bar price momentum by its rolling deviation and then reacts dynamically to sudden ATR spikes. By shrinking the deviation window when true volatility surges, it amplifies extreme moves—making medium-term trend shifts and deep drawdowns far more likely to breach your predefined thresholds.
Key features include:
• configurable momentum length and separate deviation length for precise control over look-back periods
• ATR Reaction Multiplier to tune how strongly sudden volatility spikes contract the deviation, boosting oscillator amplitude during extreme moves
• independent upper and lower threshold inputs for clear long/short signal definitions
• integrated candle-coloring overlay to immediately visualize trend state on your price chart
• built-in alert conditions for both oscillator-threshold crossovers and ATR-reactive triggers
This indicator is particularly useful for swing traders seeking medium-term entry and exit points in highly volatile markets like BTC. It combines normalized momentum readings with true volatility feedback, so large drawdowns or breakouts generate unmistakable signal events while routine noise stays filtered.
Note: ATR-DevOsc is provided “as is” without formal robustness or optimization testing. Past performance is not indicative of future results; use in live trading only after sufficient back-testing and validation.
iDea Stochastic Divergence Pro iDea TradeThis indicator automatically detects and highlights bullish and bearish divergences using the Stochastic oscillator.
Main features:
Automatic detection of bullish & bearish divergences
Clear visual signals: red (bearish) and green (bullish) lines
Overbought/oversold zone dots
Price filter option for more reliable divergences
Alerts for reversal and divergence completion
Customizable thresholds and smoothing settings
How to use:
Look for red or green divergence lines for potential trend reversals. Dots in overbought/oversold areas signal possible turning points. Combine with your own analysis for best results.
Note:
This script does not provide buy/sell signals. It is for technical analysis only and is not financial advice. Please use proper risk management.
Protected script. Source code is hidden but free for all TradingView users.
DeltaStats (Anchored)DeltaStats (Anchored)
Benchmark price, volatility, and true range against your anchor period—instantly.
Metrics:
• Net Change
– Compares current close to the opening price of the chosen anchor period for % and log returns
– Normalized (PoP) Change = (net move ÷ √span) ÷ weighted average of per-bar absolute moves over the normalization span
• Standard Deviation
– Calculates SD over the anchor period and displays: % of mean, log % of mean
– Normalized (PoP) SD = (current period SD − prior period SD) ÷ weighted average of per-period RMS deviations over the normalization span
• Average True Range
– Calculates ATR over the anchor period and displays: TR/TrueMid % (avg), TR/TrueMid log % (avg)
– Normalized (PoP) ATR = (current period ATR − prior period ATR) ÷ weighted average of per-bar true ranges over the normalization span
Toggle each metric between
1. % of Baseline
2. Log % of Baseline
3. Normalized (PoP—period-over-period)
Underlying calculations:
• Net Change
– % vs baseline = (close ÷ anchorOpen − 1) × 100
– Log % vs baseline = log(close ÷ anchorOpen) × 100
– Normalized (PoP) = (Δ ÷ √span) ÷ weighted average of |Δ one-bar| over norm span
• Standard Deviation
– % of mean = SD(period) ÷ SMA(close, period) × 100
– Log % of mean = log(SD(period) ÷ SMA(close, period) + 1) × 100
– Normalized (PoP) = (SD(period) − SD(prior period)) ÷ weighted average of per-period RMS deviations over norm span
• Average True Range
– % vs TrueMid = SMA(TR ÷ TrueMid, period) × 100
– Log % vs TrueMid = SMA(log(TR ÷ TrueMid + 1), period) × 100
– Normalized (PoP) = (ATR(period) − ATR(prior period)) ÷ weighted average of one-bar TR over norm span
DeltaStats (Rolling)DeltaStats (Rolling)
Benchmark price, volatility, and true range over your rolling window—instantly.
Metrics:
• Net Change
– Compares today’s close to the close span bars ago for % and log returns
– Normalized (PoP) Change = (net move ÷ √span) ÷ simple average of per-bar absolute moves over span × multiplier
• Standard Deviation
– Calculates span-bar SD and displays: % of mean, log % of mean
– Normalized (PoP) SD = (current SD − span bars ago SD) ÷ simple average of RMS deviations over span × multiplier
• Average True Range
– Calculates span-bar ATR and displays: TR/TrueMid % (avg), TR/TrueMid log % (avg)
– Normalized (PoP) ATR = (current ATR − span bars ago ATR) ÷ simple average of one-bar TR over span × multiplier
Toggle each metric between
1. % of Baseline
2. Log % of Baseline
3. Normalized (PoP—period-over-period)
Underlying calculations:
• Net Change
– % vs baseline = (close ÷ close − 1) × 100
– Log % vs baseline = log(close ÷ close ) × 100
– Normalized (PoP) = (Δ ÷ √span) ÷ SMA(|Δ one-bar|, span × mult)
• Standard Deviation
– % of mean = SD(span) ÷ SMA(close, span) × 100
– Log % of mean = log(SD(span) ÷ SMA(close, span) + 1) × 100
– Normalized (PoP) = (SD(span) − SD(span ago)) ÷ SMA(RMS deviations, span × mult)
• Average True Range
– % vs TrueMid = SMA(TR ÷ TrueMid, span) × 100
– Log % vs TrueMid = SMA(log(TR ÷ TrueMid + 1), span) × 100
– Normalized (PoP) = (ATR(span) − ATR(span ago)) ÷ SMA(one-bar TR, span × mult)
